Job Title: Risk Data Scientist Location: Downtown B oston - Preferred Onsite-CA/GA/TX -Optional Onsite hub locations Employment Type: Exempt Full Time Compensation: $112,000 - $155,000 + Full Benefit Package Day One Candidates must be authorized to work in the U.S. At this time, our ability to provide employment-based visa sponsorship is limited At Flexcar, our mission is to make car ownership flexible, affordable, and enjoyable for everyone. We've created a month-to-month option that is more affordable than buying and more flexible than leasing. Our members are saving money and choosing a model that fits how real life actually works. Building a better model of car ownership takes more than technology. It takes people who value clarity, fairness, and real human experience. About the Role Flexcar is seeking a Risk Data Scientist to manage model-driven approaches to credit, accident, and fraud risk. We're looking for someone who can own the full lifecycle of our risk modeling stack: building and calibrating models, managing the platforms they run on, and translating results into actionable recommendations. This is a hands-on individual contributor role. You'll work closely with our Risk, Finance, Product, and Operations teams and have significant influence over how we balance growth against risk exposure. The models you build matter, and you'll see their results in real performance data. Flexcar's unique set of data provides an exciting arena to find signals in new and creative ways. The role spans modeling, platform management, and analytics, which means no two weeks look the same. If you want immediate impact and ownership across a full risk stack, this is the fit for you. What You'll Do Risk Modeling & Model Development with A I Build, refine, and maintain eligibility models and risk scoring frameworks used to make real-time application decisions using the latest AI tools Balance multiple initiatives at once, collaborating across the organization to rapidly solve problems through applied data science Own calibration and ongoing improvement of our Safe Driving Score and related behavioral risk models Lead feature selection, target variable development, and model validation Collaborate with stakeholders to set risk thresholds that balance growth with loss targets Model Platform & Vendor Integration Manage our modeling environment and maintain our orchestration platform, where all risk models and decision workflows live Monitor data quality and technical integrations with data vendors across fraud, credit, debt, public records, and driving history, working with our Data Engineering and data pipelines are current and models are ingesting the right inputs Partner with engineering and vendor technical teams when API changes or new data sources require updates that would benefit our modeling strength Monitoring & Analysis Monitor the performance of deployed risk frameworks against key metrics Identify drift, anomalies, or opportunities for improvement and bring forward clear recommendations Contribute to ad hoc analysis supporting risk strategy decisions What We're Looking For Required Bachelor's degree in Economics, Mathematics, Business or a related discipline preferred 3+ years of experience in a data science or quantitative modeling role with proven, quantifiable output Comfortable leaning in to AI-first solutions, with experience using the latest AI tools to drive results at a high velocity Strong Python and SQL skills; comfortable working with messy, real-world data Hands-on experience building and deploying predictive models in a production environment Ability to work independently and own outcomes, not just tasks Nice to Have Experience with AI data science platforms and orchestration platforms Experience with behavioral or telematics-based risk signals is a strong plus. Familiarity with third-party data vendors used in risk decisioning (bureau data, identity verification, motor vehicle records, etc.) Experience in a startup or high-growth environment where the work is broad and the tooling is still evolving What Tops Off the Tank Rest & Relaxation: Flexible PTO policy. Future Savings: Benefit from a 401(k) plan with company match from day one. Benefits: Excellent, low-cost healthcare coverage including: medical, dental, vision, eligibility day one. Drive a Flexcar! Discounted employee rate on Flexcar products and no annual membership fee. Weekly Pay And other amazing perks! Flexcar is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind. Flexcar provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.
09/25/2026
Full time
Job Title: Risk Data Scientist Location: Downtown B oston - Preferred Onsite-CA/GA/TX -Optional Onsite hub locations Employment Type: Exempt Full Time Compensation: $112,000 - $155,000 + Full Benefit Package Day One Candidates must be authorized to work in the U.S. At this time, our ability to provide employment-based visa sponsorship is limited At Flexcar, our mission is to make car ownership flexible, affordable, and enjoyable for everyone. We've created a month-to-month option that is more affordable than buying and more flexible than leasing. Our members are saving money and choosing a model that fits how real life actually works. Building a better model of car ownership takes more than technology. It takes people who value clarity, fairness, and real human experience. About the Role Flexcar is seeking a Risk Data Scientist to manage model-driven approaches to credit, accident, and fraud risk. We're looking for someone who can own the full lifecycle of our risk modeling stack: building and calibrating models, managing the platforms they run on, and translating results into actionable recommendations. This is a hands-on individual contributor role. You'll work closely with our Risk, Finance, Product, and Operations teams and have significant influence over how we balance growth against risk exposure. The models you build matter, and you'll see their results in real performance data. Flexcar's unique set of data provides an exciting arena to find signals in new and creative ways. The role spans modeling, platform management, and analytics, which means no two weeks look the same. If you want immediate impact and ownership across a full risk stack, this is the fit for you. What You'll Do Risk Modeling & Model Development with A I Build, refine, and maintain eligibility models and risk scoring frameworks used to make real-time application decisions using the latest AI tools Balance multiple initiatives at once, collaborating across the organization to rapidly solve problems through applied data science Own calibration and ongoing improvement of our Safe Driving Score and related behavioral risk models Lead feature selection, target variable development, and model validation Collaborate with stakeholders to set risk thresholds that balance growth with loss targets Model Platform & Vendor Integration Manage our modeling environment and maintain our orchestration platform, where all risk models and decision workflows live Monitor data quality and technical integrations with data vendors across fraud, credit, debt, public records, and driving history, working with our Data Engineering and data pipelines are current and models are ingesting the right inputs Partner with engineering and vendor technical teams when API changes or new data sources require updates that would benefit our modeling strength Monitoring & Analysis Monitor the performance of deployed risk frameworks against key metrics Identify drift, anomalies, or opportunities for improvement and bring forward clear recommendations Contribute to ad hoc analysis supporting risk strategy decisions What We're Looking For Required Bachelor's degree in Economics, Mathematics, Business or a related discipline preferred 3+ years of experience in a data science or quantitative modeling role with proven, quantifiable output Comfortable leaning in to AI-first solutions, with experience using the latest AI tools to drive results at a high velocity Strong Python and SQL skills; comfortable working with messy, real-world data Hands-on experience building and deploying predictive models in a production environment Ability to work independently and own outcomes, not just tasks Nice to Have Experience with AI data science platforms and orchestration platforms Experience with behavioral or telematics-based risk signals is a strong plus. Familiarity with third-party data vendors used in risk decisioning (bureau data, identity verification, motor vehicle records, etc.) Experience in a startup or high-growth environment where the work is broad and the tooling is still evolving What Tops Off the Tank Rest & Relaxation: Flexible PTO policy. Future Savings: Benefit from a 401(k) plan with company match from day one. Benefits: Excellent, low-cost healthcare coverage including: medical, dental, vision, eligibility day one. Drive a Flexcar! Discounted employee rate on Flexcar products and no annual membership fee. Weekly Pay And other amazing perks! Flexcar is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind. Flexcar provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.
About Invisible Invisible Technologies makes AI work. Our end-to-end AI platform structures messy data, automates digital workflows, deploys agentic solutions, measures outcomes, and integrates human expertise where it matters most. Our platform cleans, labels, and structures company data so it is ready for AI. It adapts models to each business and adds human expertise when needed, the same approach we have used to improve models for more than 80% of the world's top AI companies, including Microsoft, AWS, and Cohere. Our successes span industries, from supply chain automation for Swiss Gear to AI-enabled naval simulations with SAIC, and validating NBA draft picks for the Charlotte Hornets. Profitable for more than half a decade, Invisible reached $134M in revenue and ranked as the number two fastest growing AI company on the 2024 Inc. 5000. In September 2025, we raised $100M in growth capital to accelerate our mission of making AI actually work in the enterprise and to advance our platform technology. About The Role As a Senior Software Engineer, Forward Deployed Engineer (FDE) you'll work directly with clients and our internal delivery teams to build and deploy AI-powered solutions that transform how work gets done. You'll own projects end-to-end: scoping ambiguous problems, prototyping AI workflows, and deploying scalable systems on top of our products - all while interfacing with technical and non-technical stakeholders. This is a hybrid role: equal parts AI engineer, software builder, and technical consultant. It's perfect for someone who wants to be hands-on with models and close to the impact they generate. What You'll Do Collaborate with delivery leaders to scope technical solutions to operational problems Identify workflow optimizations through deep engagement with customer problems and work to build into a stable and scalable solution Design and implement AI-powered workflows using LLMs, embedding models, retrieval systems, and automation tools Translate messy real-world constraints (e.g., inconsistent data, latency requirements) into elegant engineering solutions Iterate quickly based on real-time feedback from operators and clients Build reusable tooling and infrastructure that accelerates future deployments What We Need 6+ years of software engineering experience, including significant time spent building data, ML, or backend systems Python & ML/LLM Frameworks: Deep proficiency in Python with hands-on experience using Hugging Face, LangChain, OpenAI, Pinecone, and related ecosystems Deployment & Infrastructure: Skilled in full-stack and API-based deployment patterns, including Docker, FastAPI, Kubernetes, and cloud environments (GCP, AWS) Platform Orchestration: Experienced with workflow orchestration libraries, pub/sub systems (Kafka), and schema governance Data Management: Expertise in data governance and operations, including Unity Catalog and policy management, cluster/job orchestration, data contracts and quality enforcement, Delta/ETL pipelines, and replay processes Strong product and system design instincts - you understand business needs and how to translate them into technical architecture Experience building usable systems from messy data and ambiguous requirements Excellent communication and client-facing skills; you've led conversations with technical and non-technical stakeholders alike Proven experience owning projects from scoping through deployment in ambiguous, high-stakes environments Be willing to be on-call for our customers when situations arise Travel: Willingness to travel for on-site client engagements as needed Onsite: Available to work from the office a few days per week, depending on team needs - some NYC-based teams require 3 days per week onsite; your specific requirement will depend on the team you're placed with What's In It For You Invisible is committed to fair and competitive pay, ensuring that compensation reflects both market conditions and the value each team member brings. Our salary structure accounts for regional differences in cost of living while maintaining internal equity. The annual salary range for this position, depending on level, is: $180,000 - $264,000 USD You can find more information about our geographic pay tiers here. During the interview process, your Invisible Talent Acquisition Partner will confirm which tier applies to your location. For candidates outside the U.S., compensation is adjusted to reflect local market conditions and cost of living. Bonuses and equity are included in all full-time offers. Final compensation is determined by a combination of factors, including location, job-related experience, skills, knowledge, internal pay equity, and overall market conditions. Because of this, every offer is unique. Additional details on total compensation and benefits will be discussed during the hiring process. What It's Like to Work at Invisible: At Invisible, we're not just redefining work-we're reinventing it. We operate at the intersection of advanced AI and human ingenuity, pushing the boundaries of what's possible to unlock productivity and scale. Ownership is at the core of everything we do. Here, you won't just execute tasks-you'll build, innovate, and shape the future alongside world-class clients pushing the boundaries of AI. We expect bold ideas, relentless drive, and the ability to turn ambiguity into opportunity. The pace is fast, the challenges are big, and the growth is unmatched. We're not for everyone, and we're okay with that. If you're looking for predictable routines, this isn't the place for you. But if you're driven to create, thrive in dynamic environments, and want a front-row seat to the AI revolution, you'll fit right in. Country Hiring Guidelines: Invisible is a hybrid organization with offices and team members located around the world. While some roles may offer remote flexibility, most positions involve in-office collaboration and are tied to specific locations. Any location-based requirements or hybrid expectations will be communicated by our Talent Acquisition team during the recruiting process. AI Interviewing Guidelines: Our hiring team thoughtfully uses AI to support an efficient, engaging, and inclusive interview process. Since AI can also be a helpful tool for candidates, we've outlined expectations for using it ethically throughout your interview journey. Click here to learn more about how we use AI and our guidelines for candidates. Accessibility Statement: We are committed to providing reasonable accommodations for individuals with disabilities. If you require an accommodation to participate in the application or interview process, please submit your request using our accommodation request form. A member of our team will follow up to support your request. Here is the link the google form: Equal Opportunity Statement: We're an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, or veteran status, or any other basis protected by law. Due to a high volume of candidates, Invisible may use automated decision-maker technologies to filter candidates based on response to our application questions and other provided information. Our use of automated decision-making enables us to be efficient by providing a manageable list of possible candidates that meet our mandatory hiring criteria. If you object to our use of automated decision-making please contact us.
09/25/2026
Full time
About Invisible Invisible Technologies makes AI work. Our end-to-end AI platform structures messy data, automates digital workflows, deploys agentic solutions, measures outcomes, and integrates human expertise where it matters most. Our platform cleans, labels, and structures company data so it is ready for AI. It adapts models to each business and adds human expertise when needed, the same approach we have used to improve models for more than 80% of the world's top AI companies, including Microsoft, AWS, and Cohere. Our successes span industries, from supply chain automation for Swiss Gear to AI-enabled naval simulations with SAIC, and validating NBA draft picks for the Charlotte Hornets. Profitable for more than half a decade, Invisible reached $134M in revenue and ranked as the number two fastest growing AI company on the 2024 Inc. 5000. In September 2025, we raised $100M in growth capital to accelerate our mission of making AI actually work in the enterprise and to advance our platform technology. About The Role As a Senior Software Engineer, Forward Deployed Engineer (FDE) you'll work directly with clients and our internal delivery teams to build and deploy AI-powered solutions that transform how work gets done. You'll own projects end-to-end: scoping ambiguous problems, prototyping AI workflows, and deploying scalable systems on top of our products - all while interfacing with technical and non-technical stakeholders. This is a hybrid role: equal parts AI engineer, software builder, and technical consultant. It's perfect for someone who wants to be hands-on with models and close to the impact they generate. What You'll Do Collaborate with delivery leaders to scope technical solutions to operational problems Identify workflow optimizations through deep engagement with customer problems and work to build into a stable and scalable solution Design and implement AI-powered workflows using LLMs, embedding models, retrieval systems, and automation tools Translate messy real-world constraints (e.g., inconsistent data, latency requirements) into elegant engineering solutions Iterate quickly based on real-time feedback from operators and clients Build reusable tooling and infrastructure that accelerates future deployments What We Need 6+ years of software engineering experience, including significant time spent building data, ML, or backend systems Python & ML/LLM Frameworks: Deep proficiency in Python with hands-on experience using Hugging Face, LangChain, OpenAI, Pinecone, and related ecosystems Deployment & Infrastructure: Skilled in full-stack and API-based deployment patterns, including Docker, FastAPI, Kubernetes, and cloud environments (GCP, AWS) Platform Orchestration: Experienced with workflow orchestration libraries, pub/sub systems (Kafka), and schema governance Data Management: Expertise in data governance and operations, including Unity Catalog and policy management, cluster/job orchestration, data contracts and quality enforcement, Delta/ETL pipelines, and replay processes Strong product and system design instincts - you understand business needs and how to translate them into technical architecture Experience building usable systems from messy data and ambiguous requirements Excellent communication and client-facing skills; you've led conversations with technical and non-technical stakeholders alike Proven experience owning projects from scoping through deployment in ambiguous, high-stakes environments Be willing to be on-call for our customers when situations arise Travel: Willingness to travel for on-site client engagements as needed Onsite: Available to work from the office a few days per week, depending on team needs - some NYC-based teams require 3 days per week onsite; your specific requirement will depend on the team you're placed with What's In It For You Invisible is committed to fair and competitive pay, ensuring that compensation reflects both market conditions and the value each team member brings. Our salary structure accounts for regional differences in cost of living while maintaining internal equity. The annual salary range for this position, depending on level, is: $180,000 - $264,000 USD You can find more information about our geographic pay tiers here. During the interview process, your Invisible Talent Acquisition Partner will confirm which tier applies to your location. For candidates outside the U.S., compensation is adjusted to reflect local market conditions and cost of living. Bonuses and equity are included in all full-time offers. Final compensation is determined by a combination of factors, including location, job-related experience, skills, knowledge, internal pay equity, and overall market conditions. Because of this, every offer is unique. Additional details on total compensation and benefits will be discussed during the hiring process. What It's Like to Work at Invisible: At Invisible, we're not just redefining work-we're reinventing it. We operate at the intersection of advanced AI and human ingenuity, pushing the boundaries of what's possible to unlock productivity and scale. Ownership is at the core of everything we do. Here, you won't just execute tasks-you'll build, innovate, and shape the future alongside world-class clients pushing the boundaries of AI. We expect bold ideas, relentless drive, and the ability to turn ambiguity into opportunity. The pace is fast, the challenges are big, and the growth is unmatched. We're not for everyone, and we're okay with that. If you're looking for predictable routines, this isn't the place for you. But if you're driven to create, thrive in dynamic environments, and want a front-row seat to the AI revolution, you'll fit right in. Country Hiring Guidelines: Invisible is a hybrid organization with offices and team members located around the world. While some roles may offer remote flexibility, most positions involve in-office collaboration and are tied to specific locations. Any location-based requirements or hybrid expectations will be communicated by our Talent Acquisition team during the recruiting process. AI Interviewing Guidelines: Our hiring team thoughtfully uses AI to support an efficient, engaging, and inclusive interview process. Since AI can also be a helpful tool for candidates, we've outlined expectations for using it ethically throughout your interview journey. Click here to learn more about how we use AI and our guidelines for candidates. Accessibility Statement: We are committed to providing reasonable accommodations for individuals with disabilities. If you require an accommodation to participate in the application or interview process, please submit your request using our accommodation request form. A member of our team will follow up to support your request. Here is the link the google form: Equal Opportunity Statement: We're an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, or veteran status, or any other basis protected by law. Due to a high volume of candidates, Invisible may use automated decision-maker technologies to filter candidates based on response to our application questions and other provided information. Our use of automated decision-making enables us to be efficient by providing a manageable list of possible candidates that meet our mandatory hiring criteria. If you object to our use of automated decision-making please contact us.
About Invisible Invisible Technologies makes AI work. Our end-to-end AI platform structures messy data, automates digital workflows, deploys agentic solutions, measures outcomes, and integrates human expertise where it matters most. Our platform cleans, labels, and structures company data so it is ready for AI. It adapts models to each business and adds human expertise when needed, the same approach we have used to improve models for more than 80% of the world's top AI companies, including Microsoft, AWS, and Cohere. Our successes span industries, from supply chain automation for Swiss Gear to AI-enabled naval simulations with SAIC, and validating NBA draft picks for the Charlotte Hornets. Profitable for more than half a decade, Invisible reached $134M in revenue and ranked as the number two fastest growing AI company on the 2024 Inc. 5000. In September 2025, we raised $100M in growth capital to accelerate our mission of making AI actually work in the enterprise and to advance our platform technology. About The Role As a Senior Software Engineer, Forward Deployed Engineer (FDE) you'll work directly with clients and our internal delivery teams to build and deploy AI-powered solutions that transform how work gets done. You'll own projects end-to-end: scoping ambiguous problems, prototyping AI workflows, and deploying scalable systems on top of our products - all while interfacing with technical and non-technical stakeholders. This is a hybrid role: equal parts AI engineer, software builder, and technical consultant. It's perfect for someone who wants to be hands-on with models and close to the impact they generate. What You'll Do Collaborate with delivery leaders to scope technical solutions to operational problems Identify workflow optimizations through deep engagement with customer problems and work to build into a stable and scalable solution Design and implement AI-powered workflows using LLMs, embedding models, retrieval systems, and automation tools Translate messy real-world constraints (e.g., inconsistent data, latency requirements) into elegant engineering solutions Iterate quickly based on real-time feedback from operators and clients Build reusable tooling and infrastructure that accelerates future deployments What We Need 6+ years of software engineering experience, including significant time spent building data, ML, or backend systems Python & ML/LLM Frameworks: Deep proficiency in Python with hands-on experience using Hugging Face, LangChain, OpenAI, Pinecone, and related ecosystems Deployment & Infrastructure: Skilled in full-stack and API-based deployment patterns, including Docker, FastAPI, Kubernetes, and cloud environments (GCP, AWS) Platform Orchestration: Experienced with workflow orchestration libraries, pub/sub systems (Kafka), and schema governance Data Management: Expertise in data governance and operations, including Unity Catalog and policy management, cluster/job orchestration, data contracts and quality enforcement, Delta/ETL pipelines, and replay processes Strong product and system design instincts - you understand business needs and how to translate them into technical architecture Experience building usable systems from messy data and ambiguous requirements Excellent communication and client-facing skills; you've led conversations with technical and non-technical stakeholders alike Proven experience owning projects from scoping through deployment in ambiguous, high-stakes environments Be willing to be on-call for our customers when situations arise Travel: Willingness to travel for on-site client engagements as needed Onsite: Available to work from the office a few days per week, depending on team needs - some NYC-based teams require 3 days per week onsite; your specific requirement will depend on the team you're placed with What's In It For You Invisible is committed to fair and competitive pay, ensuring that compensation reflects both market conditions and the value each team member brings. Our salary structure accounts for regional differences in cost of living while maintaining internal equity. The annual salary range for this position, depending on level, is: $180,000 - $264,000 USD You can find more information about our geographic pay tiers here. During the interview process, your Invisible Talent Acquisition Partner will confirm which tier applies to your location. For candidates outside the U.S., compensation is adjusted to reflect local market conditions and cost of living. Bonuses and equity are included in all full-time offers. Final compensation is determined by a combination of factors, including location, job-related experience, skills, knowledge, internal pay equity, and overall market conditions. Because of this, every offer is unique. Additional details on total compensation and benefits will be discussed during the hiring process. What It's Like to Work at Invisible: At Invisible, we're not just redefining work-we're reinventing it. We operate at the intersection of advanced AI and human ingenuity, pushing the boundaries of what's possible to unlock productivity and scale. Ownership is at the core of everything we do. Here, you won't just execute tasks-you'll build, innovate, and shape the future alongside world-class clients pushing the boundaries of AI. We expect bold ideas, relentless drive, and the ability to turn ambiguity into opportunity. The pace is fast, the challenges are big, and the growth is unmatched. We're not for everyone, and we're okay with that. If you're looking for predictable routines, this isn't the place for you. But if you're driven to create, thrive in dynamic environments, and want a front-row seat to the AI revolution, you'll fit right in. Country Hiring Guidelines: Invisible is a hybrid organization with offices and team members located around the world. While some roles may offer remote flexibility, most positions involve in-office collaboration and are tied to specific locations. Any location-based requirements or hybrid expectations will be communicated by our Talent Acquisition team during the recruiting process. AI Interviewing Guidelines: Our hiring team thoughtfully uses AI to support an efficient, engaging, and inclusive interview process. Since AI can also be a helpful tool for candidates, we've outlined expectations for using it ethically throughout your interview journey. Click here to learn more about how we use AI and our guidelines for candidates. Accessibility Statement: We are committed to providing reasonable accommodations for individuals with disabilities. If you require an accommodation to participate in the application or interview process, please submit your request using our accommodation request form. A member of our team will follow up to support your request. Here is the link the google form: Equal Opportunity Statement: We're an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, or veteran status, or any other basis protected by law. Due to a high volume of candidates, Invisible may use automated decision-maker technologies to filter candidates based on response to our application questions and other provided information. Our use of automated decision-making enables us to be efficient by providing a manageable list of possible candidates that meet our mandatory hiring criteria. If you object to our use of automated decision-making please contact us.
09/25/2026
Full time
About Invisible Invisible Technologies makes AI work. Our end-to-end AI platform structures messy data, automates digital workflows, deploys agentic solutions, measures outcomes, and integrates human expertise where it matters most. Our platform cleans, labels, and structures company data so it is ready for AI. It adapts models to each business and adds human expertise when needed, the same approach we have used to improve models for more than 80% of the world's top AI companies, including Microsoft, AWS, and Cohere. Our successes span industries, from supply chain automation for Swiss Gear to AI-enabled naval simulations with SAIC, and validating NBA draft picks for the Charlotte Hornets. Profitable for more than half a decade, Invisible reached $134M in revenue and ranked as the number two fastest growing AI company on the 2024 Inc. 5000. In September 2025, we raised $100M in growth capital to accelerate our mission of making AI actually work in the enterprise and to advance our platform technology. About The Role As a Senior Software Engineer, Forward Deployed Engineer (FDE) you'll work directly with clients and our internal delivery teams to build and deploy AI-powered solutions that transform how work gets done. You'll own projects end-to-end: scoping ambiguous problems, prototyping AI workflows, and deploying scalable systems on top of our products - all while interfacing with technical and non-technical stakeholders. This is a hybrid role: equal parts AI engineer, software builder, and technical consultant. It's perfect for someone who wants to be hands-on with models and close to the impact they generate. What You'll Do Collaborate with delivery leaders to scope technical solutions to operational problems Identify workflow optimizations through deep engagement with customer problems and work to build into a stable and scalable solution Design and implement AI-powered workflows using LLMs, embedding models, retrieval systems, and automation tools Translate messy real-world constraints (e.g., inconsistent data, latency requirements) into elegant engineering solutions Iterate quickly based on real-time feedback from operators and clients Build reusable tooling and infrastructure that accelerates future deployments What We Need 6+ years of software engineering experience, including significant time spent building data, ML, or backend systems Python & ML/LLM Frameworks: Deep proficiency in Python with hands-on experience using Hugging Face, LangChain, OpenAI, Pinecone, and related ecosystems Deployment & Infrastructure: Skilled in full-stack and API-based deployment patterns, including Docker, FastAPI, Kubernetes, and cloud environments (GCP, AWS) Platform Orchestration: Experienced with workflow orchestration libraries, pub/sub systems (Kafka), and schema governance Data Management: Expertise in data governance and operations, including Unity Catalog and policy management, cluster/job orchestration, data contracts and quality enforcement, Delta/ETL pipelines, and replay processes Strong product and system design instincts - you understand business needs and how to translate them into technical architecture Experience building usable systems from messy data and ambiguous requirements Excellent communication and client-facing skills; you've led conversations with technical and non-technical stakeholders alike Proven experience owning projects from scoping through deployment in ambiguous, high-stakes environments Be willing to be on-call for our customers when situations arise Travel: Willingness to travel for on-site client engagements as needed Onsite: Available to work from the office a few days per week, depending on team needs - some NYC-based teams require 3 days per week onsite; your specific requirement will depend on the team you're placed with What's In It For You Invisible is committed to fair and competitive pay, ensuring that compensation reflects both market conditions and the value each team member brings. Our salary structure accounts for regional differences in cost of living while maintaining internal equity. The annual salary range for this position, depending on level, is: $180,000 - $264,000 USD You can find more information about our geographic pay tiers here. During the interview process, your Invisible Talent Acquisition Partner will confirm which tier applies to your location. For candidates outside the U.S., compensation is adjusted to reflect local market conditions and cost of living. Bonuses and equity are included in all full-time offers. Final compensation is determined by a combination of factors, including location, job-related experience, skills, knowledge, internal pay equity, and overall market conditions. Because of this, every offer is unique. Additional details on total compensation and benefits will be discussed during the hiring process. What It's Like to Work at Invisible: At Invisible, we're not just redefining work-we're reinventing it. We operate at the intersection of advanced AI and human ingenuity, pushing the boundaries of what's possible to unlock productivity and scale. Ownership is at the core of everything we do. Here, you won't just execute tasks-you'll build, innovate, and shape the future alongside world-class clients pushing the boundaries of AI. We expect bold ideas, relentless drive, and the ability to turn ambiguity into opportunity. The pace is fast, the challenges are big, and the growth is unmatched. We're not for everyone, and we're okay with that. If you're looking for predictable routines, this isn't the place for you. But if you're driven to create, thrive in dynamic environments, and want a front-row seat to the AI revolution, you'll fit right in. Country Hiring Guidelines: Invisible is a hybrid organization with offices and team members located around the world. While some roles may offer remote flexibility, most positions involve in-office collaboration and are tied to specific locations. Any location-based requirements or hybrid expectations will be communicated by our Talent Acquisition team during the recruiting process. AI Interviewing Guidelines: Our hiring team thoughtfully uses AI to support an efficient, engaging, and inclusive interview process. Since AI can also be a helpful tool for candidates, we've outlined expectations for using it ethically throughout your interview journey. Click here to learn more about how we use AI and our guidelines for candidates. Accessibility Statement: We are committed to providing reasonable accommodations for individuals with disabilities. If you require an accommodation to participate in the application or interview process, please submit your request using our accommodation request form. A member of our team will follow up to support your request. Here is the link the google form: Equal Opportunity Statement: We're an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, or veteran status, or any other basis protected by law. Due to a high volume of candidates, Invisible may use automated decision-maker technologies to filter candidates based on response to our application questions and other provided information. Our use of automated decision-making enables us to be efficient by providing a manageable list of possible candidates that meet our mandatory hiring criteria. If you object to our use of automated decision-making please contact us.
About Glean: Glean is the Work AI platform that helps everyone work smarter with AI. What began as the industry's most advanced enterprise search has evolved into a full-scale Work AI ecosystem, powering intelligent Search, an AI Assistant, and scalable AI agents on one secure, open platform. With over 100 enterprise SaaS connectors, flexible LLM choice, and robust APIs, Glean gives organizations the infrastructure to govern, scale, and customize AI across their entire business - without vendor lock-in or costly implementation cycles. At its core, Glean is redefining how enterprises find, use, and act on knowledge. Its Enterprise Graph and Personal Knowledge Graph map the relationships between people, content, and activity, delivering deeply personalized, context-aware responses for every employee. This foundation powers Glean's agentic capabilities - AI agents that automate real work across teams by accessing the industry's broadest range of data: enterprise and world, structured and unstructured, historical and real-time. The result: measurable business impact through faster onboarding, hours of productivity gained each week, and smarter, safer decisions at every level. Recognized by Fast Company as one of the World's Most Innovative Companies (Top 10, 2025), by CNBC's Disruptor 50, Bloomberg's AI Startups to Watch (2026), Forbes AI 50, and Gartner's Tech Innovators in Agentic AI, Glean continues to accelerate its global impact. With customers across 50+ industries and 1,000+ employees in more than 25 countries, we're helping the world's largest organizations make every employee AI-fluent, and turning the superintelligent enterprise from concept into reality. If you're excited to shape how the world works, you'll help build systems used daily across Microsoft Teams, Zoom, ServiceNow, Zendesk, GitHub, and many more - deeply embedded where people get things done. You'll ship agentic capabilities on an open, extensible stack, with the craft and care required for enterprise trust, as we bring Work AI to every employee, in every company. About the Role: You'll join as a founding member of Glean's forward deployed team and operate with the autonomy and accountability of a founder. Your job is to discover and build Glean's next generation of product surfaces, working in a pod with Forward Deployed PMs directly with the C-suite of the world's most influential companies and with Glean's own engineering and product teams. Glean is a fully horizontal AI platform - and that scope is what makes this role unique. You won't be configuring existing products or optimizing within defined constraints. You'll identify the biggest unsolved business problems at our most strategic customers, build entirely new products to solve them, and in doing so shape what Glean becomes. The best of what you build ships to every Glean customer in the world. You get founder-level ownership with Glean's resources, relationships, and scale behind you. You will: Discover and build Glean's next product surfaces: Your primary job is 0-to-1 product creation. Nothing about what you're building is predefined - you'll work with your FDPM to identify where Glean's platform can be extended to solve problems no product currently solves, then design and ship it. What you build becomes what Glean ships. Lead deep opportunity discovery: Before you write a line of code, you go deep on the business. What's structurally broken? Where is the biggest concentration of unsolved value? What's actually buildable, and what's the fastest path to something real that can be tested and learned from? You'll form strong hypotheses alongside your FDPM and pressure-test them directly with the people who have to live with the outcome. Be a technical partner to the C-suite: You'll earn trust at the highest levels of your customer organizations - not just with technical teams, but with the executives who are accountable for outcomes. You can explain what you're building, why it will work, and what the risks are to anyone in the room. Scale what works Once something works, you'll make it repeatable - working closely with the core R&D team to ensure the product is scalable Stay at the frontier with Glean's R&D team: You'll work closely with Glean's core engineering and product teams, staying ahead of what's possible on the platform and actively shaping how its capabilities evolve. What you encounter in the field directly informs what gets built next. About you: You think like a founder. When you walk into a customer, you're curious about the business, digging into what's broken, and figuring out what to build that doesn't yet exist. You're scrappy and resourceful, you move fast enough to learn, and you're as comfortable in a strategic discussion with a CEO as you are deep in a codebase. You've shipped actual products that real people use, that drove real outcomes - and you want to do it at a higher level of ambition. 0-to-1 build track record: You've built production software from scratch in ambiguous environments. You can point to something that didn't exist before you showed up and is now used by real people at scale. Production AI experience: You've shipped AI-powered solutions in the real world - prompt engineering, agent development, evaluation frameworks, deployment at scale. Not just prototypes. Full-stack technical depth: Strong programming skills across the stack with a deep understanding of and experience with how enterprise systems actually work. Business acumen: You can walk into a customer, identify where the real problems are, and connect that diagnosis to a product hypothesis - without being handed a brief. Customer instinct: You build trust quickly at every level of an organization, communicate with clarity, and know how to tailor your depth to the room. Builder's judgment: You know what's actually buildable, how long it will take, and when to simplify scope to get something real into production faster. You spot problems early and solve them independently. Curiosity and scrappiness: You're driven to understand problems deeply before solving them, and resourceful enough to find a path forward when none is obvious. Experience: 4+ years in technical roles with a track record of shipping production software. Former technical founders are strongly encouraged to apply. Willingness to travel: This role requires 25-50% travel. Nice to Have: Experience as a founder, at a top-tier technology company, or in a forward deployed engineering role. A technical degree in CS, engineering, math, or a related field. Deep familiarity with LLMs, retrieval systems, and evaluation frameworks. Experience driving technology adoption inside large enterprises. Location: This role is hybrid (3-4 days a week in our NYC office) This role requires 25-50% travel Compensation & Benefits: The standard range for this position is $160,000-$270,000 annually. Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for variable compensation, equity, and benefits. Special Note: This range encompasses varying levels of the role, you will be assessed for your level during the interview process. We offer a comprehensive benefits package including competitive compensation, Medical, Vision, and Dental coverage, generous time-off policy, and the opportunity to contribute to your 401k plan to support your long-term goals. When you join, you'll receive a home office improvement stipend, as well as an annual education and wellness stipends to support your growth and wellbeing. We foster a vibrant company culture through regular events, and provide healthy lunches daily to keep you fueled and focused. We are a diverse bunch of people and we want to continue to attract and retain a diverse range of people into our organization. We're committed to an inclusive and diverse company. We do not discriminate based on gender, ethnicity, sexual orientation, religion, civil or family status, age, disability, or race. AI-First Mindset at Glean: At Glean, AI fluency is core to how we work and we're committed to ensuring every new hire feels confident integrating AI into their everyday work. As part of the interview process, you'll complete a brief AI-focused exercise or discussion so we can understand how you think about, design, and use AI to drive impact in your role. Feel free to reference any tools, platforms, or workflows you use today - prior Glean experience isn't required. Global Data Privacy Notice for Job Candidates and Applicants: Depending on your location, the General Data Protection Regulation (GDPR), California Consumer Privacy Act (CCPA), or other privacy laws may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available in our Privacy Policy. By submitting your application, you are agreeing to our use and processing of your data as required. US applicants and their applications are subject to arbitration of disputes as outlined in our Applicant Arbitration Agreement. By clicking "Submit Application," I confirm that I have read the Global Data Privacy Notice and the Applicant Arbitration Agreement, and I agree to the terms.
09/25/2026
Full time
About Glean: Glean is the Work AI platform that helps everyone work smarter with AI. What began as the industry's most advanced enterprise search has evolved into a full-scale Work AI ecosystem, powering intelligent Search, an AI Assistant, and scalable AI agents on one secure, open platform. With over 100 enterprise SaaS connectors, flexible LLM choice, and robust APIs, Glean gives organizations the infrastructure to govern, scale, and customize AI across their entire business - without vendor lock-in or costly implementation cycles. At its core, Glean is redefining how enterprises find, use, and act on knowledge. Its Enterprise Graph and Personal Knowledge Graph map the relationships between people, content, and activity, delivering deeply personalized, context-aware responses for every employee. This foundation powers Glean's agentic capabilities - AI agents that automate real work across teams by accessing the industry's broadest range of data: enterprise and world, structured and unstructured, historical and real-time. The result: measurable business impact through faster onboarding, hours of productivity gained each week, and smarter, safer decisions at every level. Recognized by Fast Company as one of the World's Most Innovative Companies (Top 10, 2025), by CNBC's Disruptor 50, Bloomberg's AI Startups to Watch (2026), Forbes AI 50, and Gartner's Tech Innovators in Agentic AI, Glean continues to accelerate its global impact. With customers across 50+ industries and 1,000+ employees in more than 25 countries, we're helping the world's largest organizations make every employee AI-fluent, and turning the superintelligent enterprise from concept into reality. If you're excited to shape how the world works, you'll help build systems used daily across Microsoft Teams, Zoom, ServiceNow, Zendesk, GitHub, and many more - deeply embedded where people get things done. You'll ship agentic capabilities on an open, extensible stack, with the craft and care required for enterprise trust, as we bring Work AI to every employee, in every company. About the Role: You'll join as a founding member of Glean's forward deployed team and operate with the autonomy and accountability of a founder. Your job is to discover and build Glean's next generation of product surfaces, working in a pod with Forward Deployed PMs directly with the C-suite of the world's most influential companies and with Glean's own engineering and product teams. Glean is a fully horizontal AI platform - and that scope is what makes this role unique. You won't be configuring existing products or optimizing within defined constraints. You'll identify the biggest unsolved business problems at our most strategic customers, build entirely new products to solve them, and in doing so shape what Glean becomes. The best of what you build ships to every Glean customer in the world. You get founder-level ownership with Glean's resources, relationships, and scale behind you. You will: Discover and build Glean's next product surfaces: Your primary job is 0-to-1 product creation. Nothing about what you're building is predefined - you'll work with your FDPM to identify where Glean's platform can be extended to solve problems no product currently solves, then design and ship it. What you build becomes what Glean ships. Lead deep opportunity discovery: Before you write a line of code, you go deep on the business. What's structurally broken? Where is the biggest concentration of unsolved value? What's actually buildable, and what's the fastest path to something real that can be tested and learned from? You'll form strong hypotheses alongside your FDPM and pressure-test them directly with the people who have to live with the outcome. Be a technical partner to the C-suite: You'll earn trust at the highest levels of your customer organizations - not just with technical teams, but with the executives who are accountable for outcomes. You can explain what you're building, why it will work, and what the risks are to anyone in the room. Scale what works Once something works, you'll make it repeatable - working closely with the core R&D team to ensure the product is scalable Stay at the frontier with Glean's R&D team: You'll work closely with Glean's core engineering and product teams, staying ahead of what's possible on the platform and actively shaping how its capabilities evolve. What you encounter in the field directly informs what gets built next. About you: You think like a founder. When you walk into a customer, you're curious about the business, digging into what's broken, and figuring out what to build that doesn't yet exist. You're scrappy and resourceful, you move fast enough to learn, and you're as comfortable in a strategic discussion with a CEO as you are deep in a codebase. You've shipped actual products that real people use, that drove real outcomes - and you want to do it at a higher level of ambition. 0-to-1 build track record: You've built production software from scratch in ambiguous environments. You can point to something that didn't exist before you showed up and is now used by real people at scale. Production AI experience: You've shipped AI-powered solutions in the real world - prompt engineering, agent development, evaluation frameworks, deployment at scale. Not just prototypes. Full-stack technical depth: Strong programming skills across the stack with a deep understanding of and experience with how enterprise systems actually work. Business acumen: You can walk into a customer, identify where the real problems are, and connect that diagnosis to a product hypothesis - without being handed a brief. Customer instinct: You build trust quickly at every level of an organization, communicate with clarity, and know how to tailor your depth to the room. Builder's judgment: You know what's actually buildable, how long it will take, and when to simplify scope to get something real into production faster. You spot problems early and solve them independently. Curiosity and scrappiness: You're driven to understand problems deeply before solving them, and resourceful enough to find a path forward when none is obvious. Experience: 4+ years in technical roles with a track record of shipping production software. Former technical founders are strongly encouraged to apply. Willingness to travel: This role requires 25-50% travel. Nice to Have: Experience as a founder, at a top-tier technology company, or in a forward deployed engineering role. A technical degree in CS, engineering, math, or a related field. Deep familiarity with LLMs, retrieval systems, and evaluation frameworks. Experience driving technology adoption inside large enterprises. Location: This role is hybrid (3-4 days a week in our NYC office) This role requires 25-50% travel Compensation & Benefits: The standard range for this position is $160,000-$270,000 annually. Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for variable compensation, equity, and benefits. Special Note: This range encompasses varying levels of the role, you will be assessed for your level during the interview process. We offer a comprehensive benefits package including competitive compensation, Medical, Vision, and Dental coverage, generous time-off policy, and the opportunity to contribute to your 401k plan to support your long-term goals. When you join, you'll receive a home office improvement stipend, as well as an annual education and wellness stipends to support your growth and wellbeing. We foster a vibrant company culture through regular events, and provide healthy lunches daily to keep you fueled and focused. We are a diverse bunch of people and we want to continue to attract and retain a diverse range of people into our organization. We're committed to an inclusive and diverse company. We do not discriminate based on gender, ethnicity, sexual orientation, religion, civil or family status, age, disability, or race. AI-First Mindset at Glean: At Glean, AI fluency is core to how we work and we're committed to ensuring every new hire feels confident integrating AI into their everyday work. As part of the interview process, you'll complete a brief AI-focused exercise or discussion so we can understand how you think about, design, and use AI to drive impact in your role. Feel free to reference any tools, platforms, or workflows you use today - prior Glean experience isn't required. Global Data Privacy Notice for Job Candidates and Applicants: Depending on your location, the General Data Protection Regulation (GDPR), California Consumer Privacy Act (CCPA), or other privacy laws may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available in our Privacy Policy. By submitting your application, you are agreeing to our use and processing of your data as required. US applicants and their applications are subject to arbitration of disputes as outlined in our Applicant Arbitration Agreement. By clicking "Submit Application," I confirm that I have read the Global Data Privacy Notice and the Applicant Arbitration Agreement, and I agree to the terms.
About Glean: Glean is the Work AI platform that helps everyone work smarter with AI. What began as the industry's most advanced enterprise search has evolved into a full-scale Work AI ecosystem, powering intelligent Search, an AI Assistant, and scalable AI agents on one secure, open platform. With over 100 enterprise SaaS connectors, flexible LLM choice, and robust APIs, Glean gives organizations the infrastructure to govern, scale, and customize AI across their entire business - without vendor lock-in or costly implementation cycles. At its core, Glean is redefining how enterprises find, use, and act on knowledge. Its Enterprise Graph and Personal Knowledge Graph map the relationships between people, content, and activity, delivering deeply personalized, context-aware responses for every employee. This foundation powers Glean's agentic capabilities - AI agents that automate real work across teams by accessing the industry's broadest range of data: enterprise and world, structured and unstructured, historical and real-time. The result: measurable business impact through faster onboarding, hours of productivity gained each week, and smarter, safer decisions at every level. Recognized by Fast Company as one of the World's Most Innovative Companies (Top 10, 2025), by CNBC's Disruptor 50, Bloomberg's AI Startups to Watch (2026), Forbes AI 50, and Gartner's Tech Innovators in Agentic AI, Glean continues to accelerate its global impact. With customers across 50+ industries and 1,000+ employees in more than 25 countries, we're helping the world's largest organizations make every employee AI-fluent, and turning the superintelligent enterprise from concept into reality. If you're excited to shape how the world works, you'll help build systems used daily across Microsoft Teams, Zoom, ServiceNow, Zendesk, GitHub, and many more - deeply embedded where people get things done. You'll ship agentic capabilities on an open, extensible stack, with the craft and care required for enterprise trust, as we bring Work AI to every employee, in every company. About the Role: You'll join as a founding member of Glean's forward deployed team and operate with the autonomy and accountability of a founder. Your job is to discover and build Glean's next generation of product surfaces, working in a pod with Forward Deployed PMs directly with the C-suite of the world's most influential companies and with Glean's own engineering and product teams. Glean is a fully horizontal AI platform - and that scope is what makes this role unique. You won't be configuring existing products or optimizing within defined constraints. You'll identify the biggest unsolved business problems at our most strategic customers, build entirely new products to solve them, and in doing so shape what Glean becomes. The best of what you build ships to every Glean customer in the world. You get founder-level ownership with Glean's resources, relationships, and scale behind you. You will: Discover and build Glean's next product surfaces: Your primary job is 0-to-1 product creation. Nothing about what you're building is predefined - you'll work with your FDPM to identify where Glean's platform can be extended to solve problems no product currently solves, then design and ship it. What you build becomes what Glean ships. Lead deep opportunity discovery: Before you write a line of code, you go deep on the business. What's structurally broken? Where is the biggest concentration of unsolved value? What's actually buildable, and what's the fastest path to something real that can be tested and learned from? You'll form strong hypotheses alongside your FDPM and pressure-test them directly with the people who have to live with the outcome. Be a technical partner to the C-suite: You'll earn trust at the highest levels of your customer organizations - not just with technical teams, but with the executives who are accountable for outcomes. You can explain what you're building, why it will work, and what the risks are to anyone in the room. Scale what works Once something works, you'll make it repeatable - working closely with the core R&D team to ensure the product is scalable Stay at the frontier with Glean's R&D team: You'll work closely with Glean's core engineering and product teams, staying ahead of what's possible on the platform and actively shaping how its capabilities evolve. What you encounter in the field directly informs what gets built next. About you: You think like a founder. When you walk into a customer, you're curious about the business, digging into what's broken, and figuring out what to build that doesn't yet exist. You're scrappy and resourceful, you move fast enough to learn, and you're as comfortable in a strategic discussion with a CEO as you are deep in a codebase. You've shipped actual products that real people use, that drove real outcomes - and you want to do it at a higher level of ambition. 0-to-1 build track record: You've built production software from scratch in ambiguous environments. You can point to something that didn't exist before you showed up and is now used by real people at scale. Production AI experience: You've shipped AI-powered solutions in the real world - prompt engineering, agent development, evaluation frameworks, deployment at scale. Not just prototypes. Full-stack technical depth: Strong programming skills across the stack with a deep understanding of and experience with how enterprise systems actually work. Business acumen: You can walk into a customer, identify where the real problems are, and connect that diagnosis to a product hypothesis - without being handed a brief. Customer instinct: You build trust quickly at every level of an organization, communicate with clarity, and know how to tailor your depth to the room. Builder's judgment: You know what's actually buildable, how long it will take, and when to simplify scope to get something real into production faster. You spot problems early and solve them independently. Curiosity and scrappiness: You're driven to understand problems deeply before solving them, and resourceful enough to find a path forward when none is obvious. Experience: 4+ years in technical roles with a track record of shipping production software. Former technical founders are strongly encouraged to apply. Willingness to travel: This role requires 25-50% travel. Nice to Have: Experience as a founder, at a top-tier technology company, or in a forward deployed engineering role. A technical degree in CS, engineering, math, or a related field. Deep familiarity with LLMs, retrieval systems, and evaluation frameworks. Experience driving technology adoption inside large enterprises. Location: This role is hybrid (3-4 days a week in one of our SF Bay Area offices) This role requires 25-50% travel Compensation & Benefits: The standard range for this position is $160,000-$270,000 annually. Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for variable compensation, equity, and benefits. Special Note: This range encompasses varying levels of the role, you will be assessed for your level during the interview process. We offer a comprehensive benefits package including competitive compensation, Medical, Vision, and Dental coverage, generous time-off policy, and the opportunity to contribute to your 401k plan to support your long-term goals. When you join, you'll receive a home office improvement stipend, as well as an annual education and wellness stipends to support your growth and wellbeing. We foster a vibrant company culture through regular events, and provide healthy lunches daily to keep you fueled and focused. We are a diverse bunch of people and we want to continue to attract and retain a diverse range of people into our organization. We're committed to an inclusive and diverse company. We do not discriminate based on gender, ethnicity, sexual orientation, religion, civil or family status, age, disability, or race. AI-First Mindset at Glean: At Glean, AI fluency is core to how we work and we're committed to ensuring every new hire feels confident integrating AI into their everyday work. As part of the interview process, you'll complete a brief AI-focused exercise or discussion so we can understand how you think about, design, and use AI to drive impact in your role. Feel free to reference any tools, platforms, or workflows you use today - prior Glean experience isn't required. Global Data Privacy Notice for Job Candidates and Applicants: Depending on your location, the General Data Protection Regulation (GDPR), California Consumer Privacy Act (CCPA), or other privacy laws may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available in our Privacy Policy. By submitting your application, you are agreeing to our use and processing of your data as required. US applicants and their applications are subject to arbitration of disputes as outlined in our Applicant Arbitration Agreement. By clicking "Submit Application," I confirm that I have read the Global Data Privacy Notice and the Applicant Arbitration Agreement, and I agree to the terms.
09/25/2026
Full time
About Glean: Glean is the Work AI platform that helps everyone work smarter with AI. What began as the industry's most advanced enterprise search has evolved into a full-scale Work AI ecosystem, powering intelligent Search, an AI Assistant, and scalable AI agents on one secure, open platform. With over 100 enterprise SaaS connectors, flexible LLM choice, and robust APIs, Glean gives organizations the infrastructure to govern, scale, and customize AI across their entire business - without vendor lock-in or costly implementation cycles. At its core, Glean is redefining how enterprises find, use, and act on knowledge. Its Enterprise Graph and Personal Knowledge Graph map the relationships between people, content, and activity, delivering deeply personalized, context-aware responses for every employee. This foundation powers Glean's agentic capabilities - AI agents that automate real work across teams by accessing the industry's broadest range of data: enterprise and world, structured and unstructured, historical and real-time. The result: measurable business impact through faster onboarding, hours of productivity gained each week, and smarter, safer decisions at every level. Recognized by Fast Company as one of the World's Most Innovative Companies (Top 10, 2025), by CNBC's Disruptor 50, Bloomberg's AI Startups to Watch (2026), Forbes AI 50, and Gartner's Tech Innovators in Agentic AI, Glean continues to accelerate its global impact. With customers across 50+ industries and 1,000+ employees in more than 25 countries, we're helping the world's largest organizations make every employee AI-fluent, and turning the superintelligent enterprise from concept into reality. If you're excited to shape how the world works, you'll help build systems used daily across Microsoft Teams, Zoom, ServiceNow, Zendesk, GitHub, and many more - deeply embedded where people get things done. You'll ship agentic capabilities on an open, extensible stack, with the craft and care required for enterprise trust, as we bring Work AI to every employee, in every company. About the Role: You'll join as a founding member of Glean's forward deployed team and operate with the autonomy and accountability of a founder. Your job is to discover and build Glean's next generation of product surfaces, working in a pod with Forward Deployed PMs directly with the C-suite of the world's most influential companies and with Glean's own engineering and product teams. Glean is a fully horizontal AI platform - and that scope is what makes this role unique. You won't be configuring existing products or optimizing within defined constraints. You'll identify the biggest unsolved business problems at our most strategic customers, build entirely new products to solve them, and in doing so shape what Glean becomes. The best of what you build ships to every Glean customer in the world. You get founder-level ownership with Glean's resources, relationships, and scale behind you. You will: Discover and build Glean's next product surfaces: Your primary job is 0-to-1 product creation. Nothing about what you're building is predefined - you'll work with your FDPM to identify where Glean's platform can be extended to solve problems no product currently solves, then design and ship it. What you build becomes what Glean ships. Lead deep opportunity discovery: Before you write a line of code, you go deep on the business. What's structurally broken? Where is the biggest concentration of unsolved value? What's actually buildable, and what's the fastest path to something real that can be tested and learned from? You'll form strong hypotheses alongside your FDPM and pressure-test them directly with the people who have to live with the outcome. Be a technical partner to the C-suite: You'll earn trust at the highest levels of your customer organizations - not just with technical teams, but with the executives who are accountable for outcomes. You can explain what you're building, why it will work, and what the risks are to anyone in the room. Scale what works Once something works, you'll make it repeatable - working closely with the core R&D team to ensure the product is scalable Stay at the frontier with Glean's R&D team: You'll work closely with Glean's core engineering and product teams, staying ahead of what's possible on the platform and actively shaping how its capabilities evolve. What you encounter in the field directly informs what gets built next. About you: You think like a founder. When you walk into a customer, you're curious about the business, digging into what's broken, and figuring out what to build that doesn't yet exist. You're scrappy and resourceful, you move fast enough to learn, and you're as comfortable in a strategic discussion with a CEO as you are deep in a codebase. You've shipped actual products that real people use, that drove real outcomes - and you want to do it at a higher level of ambition. 0-to-1 build track record: You've built production software from scratch in ambiguous environments. You can point to something that didn't exist before you showed up and is now used by real people at scale. Production AI experience: You've shipped AI-powered solutions in the real world - prompt engineering, agent development, evaluation frameworks, deployment at scale. Not just prototypes. Full-stack technical depth: Strong programming skills across the stack with a deep understanding of and experience with how enterprise systems actually work. Business acumen: You can walk into a customer, identify where the real problems are, and connect that diagnosis to a product hypothesis - without being handed a brief. Customer instinct: You build trust quickly at every level of an organization, communicate with clarity, and know how to tailor your depth to the room. Builder's judgment: You know what's actually buildable, how long it will take, and when to simplify scope to get something real into production faster. You spot problems early and solve them independently. Curiosity and scrappiness: You're driven to understand problems deeply before solving them, and resourceful enough to find a path forward when none is obvious. Experience: 4+ years in technical roles with a track record of shipping production software. Former technical founders are strongly encouraged to apply. Willingness to travel: This role requires 25-50% travel. Nice to Have: Experience as a founder, at a top-tier technology company, or in a forward deployed engineering role. A technical degree in CS, engineering, math, or a related field. Deep familiarity with LLMs, retrieval systems, and evaluation frameworks. Experience driving technology adoption inside large enterprises. Location: This role is hybrid (3-4 days a week in one of our SF Bay Area offices) This role requires 25-50% travel Compensation & Benefits: The standard range for this position is $160,000-$270,000 annually. Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for variable compensation, equity, and benefits. Special Note: This range encompasses varying levels of the role, you will be assessed for your level during the interview process. We offer a comprehensive benefits package including competitive compensation, Medical, Vision, and Dental coverage, generous time-off policy, and the opportunity to contribute to your 401k plan to support your long-term goals. When you join, you'll receive a home office improvement stipend, as well as an annual education and wellness stipends to support your growth and wellbeing. We foster a vibrant company culture through regular events, and provide healthy lunches daily to keep you fueled and focused. We are a diverse bunch of people and we want to continue to attract and retain a diverse range of people into our organization. We're committed to an inclusive and diverse company. We do not discriminate based on gender, ethnicity, sexual orientation, religion, civil or family status, age, disability, or race. AI-First Mindset at Glean: At Glean, AI fluency is core to how we work and we're committed to ensuring every new hire feels confident integrating AI into their everyday work. As part of the interview process, you'll complete a brief AI-focused exercise or discussion so we can understand how you think about, design, and use AI to drive impact in your role. Feel free to reference any tools, platforms, or workflows you use today - prior Glean experience isn't required. Global Data Privacy Notice for Job Candidates and Applicants: Depending on your location, the General Data Protection Regulation (GDPR), California Consumer Privacy Act (CCPA), or other privacy laws may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available in our Privacy Policy. By submitting your application, you are agreeing to our use and processing of your data as required. US applicants and their applications are subject to arbitration of disputes as outlined in our Applicant Arbitration Agreement. By clicking "Submit Application," I confirm that I have read the Global Data Privacy Notice and the Applicant Arbitration Agreement, and I agree to the terms.
Most PMs sit behind a roadmap. You'll be in the room where the AI actually gets deployed, then back at HQ making sure what you learned changes the product. The Company Sendbird is on a mission to build the AI workforce of tomorrow. For over a decade, we built the infrastructure behind conversations, chat, voice, video, messaging APIs, and became the CPaaS platform for in-app communications. 4,000+ brands trust us. 7 billion messages flow through our platform every month. 300 million monthly active users. We powered conversations for DoorDash, Match Group, Noom, Yahoo Sports, Rakuten, and thousands of others. We were good at what we did. Really good. We also saw it early: AI would fundamentally reshape how businesses talk to customers. The infrastructure we'd spent a decade building would become commoditized. The value would move up the stack, into intelligence, into experience, into outcomes. We had a choice: protect what we built, or reinvent ourselves. We chose reinvention. In December 2024, we made the full strategic pivot to AI-first customer experience. By February 2025, we'd launched our AI agent for enterprise CX, built on a decade of conversation data, now with intelligence on top. And in November 2025, we rebranded to Delight.ai. The name says it all. AI's real promise isn't efficiency or cost savings. It's giving customers back something they lost, the feeling of being truly understood and cared for. Not satisfied. Delighted. The Product Delight.ai is the AI concierge for customer experience. Most AI agents forget you the moment the conversation ends. Ours doesn't. Delight.ai builds memory over time, learns preferences, and connects context across every channel, chat, SMS, email, voice, WhatsApp, without losing the thread. We're building AI that makes customers feel understood, seen, and remembered. Why Forward Deployed Product Manager Enterprise AI deployments don't fail because the technology is wrong. They fail because no one bridges the gap between what a customer actually needs and what the product can actually do. That gap is where this role lives. We're moving fast. Pilots becoming production, feedback becoming roadmap, customers becoming case studies. We need someone who can be in a customer's office on Tuesday, synthesizing insights for engineering on Wednesday, and refining deployment playbooks by Friday. If you want to shape how an AI agent platform goes to market in real time, there is no better seat in the house. The Role The Forward Deployed PM owns the full arc from pilot to production for Delight.ai's AI Agent platform, working directly with customers to deploy, iterate, and prove value, then translating what they learn into product direction back home. This role is for someone equally comfortable in a customer whiteboard session and a GitHub issue thread. You might be this person if: You get restless behind a desk. You'd rather be in front of a customer untangling a messy problem than writing a spec about one You can read a room: you know when to lead a conversation and when to shut up and listen You naturally translate vague customer pain into crisp, actionable product language, and you're already reaching for an AI tool to help structure it faster You treat ambiguity as a starting point, not a blocker. You move before the plan is perfect You've got a traveler's mindset. A last-minute flight to close a deployment doesn't stress you out, it energizes you You obsess over whether a thing actually works in the real world, not just in a demo You learn fast and publicly. You're not precious about being wrong if it means getting to right faster You need to have: 2 to 4 years in a PM or product-facing role, with strategy consulting background as a strong plus A CS degree or technical equivalent. You understand how software is built even if you're not writing it day-to-day Hands-on familiarity with AI tools, agent frameworks, or LLM-based systems. You've used them to do real work, not just to experiment Ability to be in our San Mateo office a minimum of 3 days per week and to travel frequently, sometimes on short notice What you'll actually do: Embed with enterprise customers to map their CX workflows, then design and deploy AI agents, using Delight.ai's platform alongside supporting tools and automations, that deliver measurable business outcomes Run the full deployment lifecycle from scoping and configuration through testing, go-live, and post-launch iteration, using AI-assisted workflows to move faster at every stage Surface field insights and translate them into crisp, prioritized feedback for product and engineering teams Build and refine internal playbooks and tooling, including AI-powered templates and automated reporting, that make every future deployment faster and more reliable Act as the connective tissue between customer success, engineering, and product. Make sure nothing important gets lost between teams Identify patterns across deployments that point to product gaps or opportunities, and advocate for them with data and customer evidence Co-own deployment outcomes with customers. You're not handing off a ticket. You're accountable for what gets built Added Value: Prior 0 to 1 experience. You've built and launched something from scratch, whether in a founder role or as an early team member Hands-on experience with agent frameworks, LLM pipelines, or AI/ML tooling beyond conceptual familiarity What we offer We take care of the people who build the future. Here's some of what you can expect when you join Sendbird. Medical, dental, and vision coverage, on us. Sendbird covers 100% of the premium for our employees and roughly 80% for their dependents. Generous time off. 20 days PTO, 13 company holidays, 7 sick days, 2 rest & rejuvenation days, 1 volunteer day, and your birthday off. $3,500 annual "Be Your Best Self" boost . Spend it on anything that helps you grow. Gym memberships, therapy, books, courses, massages, and more. Parental leave for all new parents. Time to be present for the moments that matter most. 401(k) from day one. Auto-enrollment, flexible contributions, and access to Vanguard's investment platform. HSA & FSA options. Pre-tax accounts to cover healthcare, dependent care, and commuter expenses. Life & disability coverage, fully paid. Life insurance and AD&D at 2x your salary, plus short- and long-term disability at no cost to you. Pay Transparency For cash compensation, we set standard ranges for all roles based on function, level, and geographic location. To determine our ranges, we utilize a variety of compensation data benchmarked against similar-stage growth companies. A reasonable estimate of the current salary range for this role is $140,000 - $175,000. This range is specific to the San Francisco Bay market. We consider several factors when making final compensation decisions including, but not limited to, skill sets, experience and training, licensure and certifications, and other business and organizational needs which may cause your specific offer to vary from the amount listed above. Flexible Work Policy We offer a flexible work schedule at Sendbird. We also value collaboration and relationship building. With those values in mind, we require all employees to gather with their team in the office three days per week as a minimum. Some of our roles require a more frequent in-office schedule. Please work with your manager to understand the office time requirements for your position. What diversity and inclusion mean to us There is no such thing as a perfect candidate and the best employees come from a wide range of backgrounds, experiences, and skill sets. Sendbird is a place where everyone can learn and grow. We respect, promote, and encourage diversity for equal employment opportunities and encourage you to apply if this role excites you. Why Sendbird We're not optimizing an existing market. We're redefining what AI-powered customer experience can be. The people joining now will shape how that gets built, deployed, and scaled. If you want to own something real, move fast, and look back in three years knowing you helped build it from the ground up, this is the place. Sendbird is building the AI workforce of tomorrow, and we hire that way too. Learn more about our interview process, how we evaluate candidates, and the role AI plays along the way.
09/25/2026
Full time
Most PMs sit behind a roadmap. You'll be in the room where the AI actually gets deployed, then back at HQ making sure what you learned changes the product. The Company Sendbird is on a mission to build the AI workforce of tomorrow. For over a decade, we built the infrastructure behind conversations, chat, voice, video, messaging APIs, and became the CPaaS platform for in-app communications. 4,000+ brands trust us. 7 billion messages flow through our platform every month. 300 million monthly active users. We powered conversations for DoorDash, Match Group, Noom, Yahoo Sports, Rakuten, and thousands of others. We were good at what we did. Really good. We also saw it early: AI would fundamentally reshape how businesses talk to customers. The infrastructure we'd spent a decade building would become commoditized. The value would move up the stack, into intelligence, into experience, into outcomes. We had a choice: protect what we built, or reinvent ourselves. We chose reinvention. In December 2024, we made the full strategic pivot to AI-first customer experience. By February 2025, we'd launched our AI agent for enterprise CX, built on a decade of conversation data, now with intelligence on top. And in November 2025, we rebranded to Delight.ai. The name says it all. AI's real promise isn't efficiency or cost savings. It's giving customers back something they lost, the feeling of being truly understood and cared for. Not satisfied. Delighted. The Product Delight.ai is the AI concierge for customer experience. Most AI agents forget you the moment the conversation ends. Ours doesn't. Delight.ai builds memory over time, learns preferences, and connects context across every channel, chat, SMS, email, voice, WhatsApp, without losing the thread. We're building AI that makes customers feel understood, seen, and remembered. Why Forward Deployed Product Manager Enterprise AI deployments don't fail because the technology is wrong. They fail because no one bridges the gap between what a customer actually needs and what the product can actually do. That gap is where this role lives. We're moving fast. Pilots becoming production, feedback becoming roadmap, customers becoming case studies. We need someone who can be in a customer's office on Tuesday, synthesizing insights for engineering on Wednesday, and refining deployment playbooks by Friday. If you want to shape how an AI agent platform goes to market in real time, there is no better seat in the house. The Role The Forward Deployed PM owns the full arc from pilot to production for Delight.ai's AI Agent platform, working directly with customers to deploy, iterate, and prove value, then translating what they learn into product direction back home. This role is for someone equally comfortable in a customer whiteboard session and a GitHub issue thread. You might be this person if: You get restless behind a desk. You'd rather be in front of a customer untangling a messy problem than writing a spec about one You can read a room: you know when to lead a conversation and when to shut up and listen You naturally translate vague customer pain into crisp, actionable product language, and you're already reaching for an AI tool to help structure it faster You treat ambiguity as a starting point, not a blocker. You move before the plan is perfect You've got a traveler's mindset. A last-minute flight to close a deployment doesn't stress you out, it energizes you You obsess over whether a thing actually works in the real world, not just in a demo You learn fast and publicly. You're not precious about being wrong if it means getting to right faster You need to have: 2 to 4 years in a PM or product-facing role, with strategy consulting background as a strong plus A CS degree or technical equivalent. You understand how software is built even if you're not writing it day-to-day Hands-on familiarity with AI tools, agent frameworks, or LLM-based systems. You've used them to do real work, not just to experiment Ability to be in our San Mateo office a minimum of 3 days per week and to travel frequently, sometimes on short notice What you'll actually do: Embed with enterprise customers to map their CX workflows, then design and deploy AI agents, using Delight.ai's platform alongside supporting tools and automations, that deliver measurable business outcomes Run the full deployment lifecycle from scoping and configuration through testing, go-live, and post-launch iteration, using AI-assisted workflows to move faster at every stage Surface field insights and translate them into crisp, prioritized feedback for product and engineering teams Build and refine internal playbooks and tooling, including AI-powered templates and automated reporting, that make every future deployment faster and more reliable Act as the connective tissue between customer success, engineering, and product. Make sure nothing important gets lost between teams Identify patterns across deployments that point to product gaps or opportunities, and advocate for them with data and customer evidence Co-own deployment outcomes with customers. You're not handing off a ticket. You're accountable for what gets built Added Value: Prior 0 to 1 experience. You've built and launched something from scratch, whether in a founder role or as an early team member Hands-on experience with agent frameworks, LLM pipelines, or AI/ML tooling beyond conceptual familiarity What we offer We take care of the people who build the future. Here's some of what you can expect when you join Sendbird. Medical, dental, and vision coverage, on us. Sendbird covers 100% of the premium for our employees and roughly 80% for their dependents. Generous time off. 20 days PTO, 13 company holidays, 7 sick days, 2 rest & rejuvenation days, 1 volunteer day, and your birthday off. $3,500 annual "Be Your Best Self" boost . Spend it on anything that helps you grow. Gym memberships, therapy, books, courses, massages, and more. Parental leave for all new parents. Time to be present for the moments that matter most. 401(k) from day one. Auto-enrollment, flexible contributions, and access to Vanguard's investment platform. HSA & FSA options. Pre-tax accounts to cover healthcare, dependent care, and commuter expenses. Life & disability coverage, fully paid. Life insurance and AD&D at 2x your salary, plus short- and long-term disability at no cost to you. Pay Transparency For cash compensation, we set standard ranges for all roles based on function, level, and geographic location. To determine our ranges, we utilize a variety of compensation data benchmarked against similar-stage growth companies. A reasonable estimate of the current salary range for this role is $140,000 - $175,000. This range is specific to the San Francisco Bay market. We consider several factors when making final compensation decisions including, but not limited to, skill sets, experience and training, licensure and certifications, and other business and organizational needs which may cause your specific offer to vary from the amount listed above. Flexible Work Policy We offer a flexible work schedule at Sendbird. We also value collaboration and relationship building. With those values in mind, we require all employees to gather with their team in the office three days per week as a minimum. Some of our roles require a more frequent in-office schedule. Please work with your manager to understand the office time requirements for your position. What diversity and inclusion mean to us There is no such thing as a perfect candidate and the best employees come from a wide range of backgrounds, experiences, and skill sets. Sendbird is a place where everyone can learn and grow. We respect, promote, and encourage diversity for equal employment opportunities and encourage you to apply if this role excites you. Why Sendbird We're not optimizing an existing market. We're redefining what AI-powered customer experience can be. The people joining now will shape how that gets built, deployed, and scaled. If you want to own something real, move fast, and look back in three years knowing you helped build it from the ground up, this is the place. Sendbird is building the AI workforce of tomorrow, and we hire that way too. Learn more about our interview process, how we evaluate candidates, and the role AI plays along the way.
Who We Are & Why Join Us Avathon is the leading Industrial AI autonomy platform, helping customers across heavy industries energy, mining, manufacturing, aerospace, defense, and logistics accelerate the journey toward autonomous operations. Our platform is built on a Computational Knowledge Graph foundation that contextualizes and connects operational data across siloed systems, bringing together time series, structured, unstructured, and machine vision data to power AI-driven applications in asset performance management, supply chain intelligence, visual AI, and global trade management. With capabilities spanning digital twins, normal behavior modeling, natural language processing, and computer vision, Avathon delivers real-time predictive intelligence and agentic decision-making at industrial scale. Cutting-Edge AI Innovation Join a team at the forefront of AI, developing groundbreaking solutions that shape the future. High-Growth Environment Thrive in a fast-scaling startup where agility, collaboration, and rapid professional growth are the norm. Meaningful Impact Work on AI-driven projects that drive real change across industries and improve lives. Learn more at: About the Role As the only physical AI unicorn headquartered in the San Francisco Bay Area, we go beyond models and dashboards - we deploy AI that continuously computes across supply chains, energy systems, and industrial operations. Our Operational Technology platform turns fragmented data into real-time, autonomous decisioning across the systems that power the global economy. This is not digital AI. This is AI for operational reality - where latency, constraints, and failure have real-world consequences. Forward Deployed AI Engineers at Avathon are rewiring how the physical world operates. You will work directly with customers to take the hardest operational problems - multi-echelon supply chains, constrained production systems, global logistics networks - and turn them into continuously computing, AI-led systems. You will design, build, and deploy production-grade AI applications that operate across real-world infrastructure where decisions propagate across thousands of nodes in real time. Responsibilities This role operates with the intensity and ownership of a founder in the field: Own end-to-end delivery of high-stakes deployments in operational environments Design and implement Avathon's Computational Knowledge Graph (CKG) that unifies data, constraints, and decisioning - performing continuous computation across physical networks Replace static planning workflows with real-time, autonomous execution applications Work side-by-side with operators, planners, and key stakeholders to define problems and deliver solutions Push systems into production that directly control and influence real-world operations Drive product evolution by feeding field learnings back into Avathon's core platform Preferred Skills Experience building AI/ML applications in production Strong foundation in machine learning, optimization, and system design Exceptional inferencing skills on applying necessary models in the field Demonstrated proficiency in programming languages such as Python, Java, C++, TypeScript/JavaScript, or similar Ability to reason complex, interconnected systems (supply chains, networks, infrastructure) Ability to move from problem to architecture to deployment without handoffs We Value We value engineers who build systems and tune industrial models Comfort operating in ambiguity, pressure, and high-stakes environments Willingness to work directly with customers and operate in real-world environments Travel to customer sites (up to 50%) Qualifications Bachelor's degree in Science, Technology, Engineering An active U.S. Government security clearance (preferred) Excellent problem-solving, critical thinking, and communication skills Must be authorized to work in the United States without current or future company sponsorship Compensation & Benefits California Base Salary Range: $130,000 - $180,000 USD (based on experience) Equity in the form of stock options Comprehensive health, dental, and vision coverage 401(k) participation Generous PTO and company holidays Ongoing learning and development opportunities Location: Reporting out of Avathon's HQ in Pleasanton (San Francisco Bay Area), California. Avathon is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, pregnancy, genetic information, disability, status as a protected veteran, or any other protected category under applicable federal, state, and local laws. Avathon is committed to providing reasonable accommodations throughout the recruiting process. If you need a reasonable accommodation, please contact us to discuss how we can assist you.
09/25/2026
Full time
Who We Are & Why Join Us Avathon is the leading Industrial AI autonomy platform, helping customers across heavy industries energy, mining, manufacturing, aerospace, defense, and logistics accelerate the journey toward autonomous operations. Our platform is built on a Computational Knowledge Graph foundation that contextualizes and connects operational data across siloed systems, bringing together time series, structured, unstructured, and machine vision data to power AI-driven applications in asset performance management, supply chain intelligence, visual AI, and global trade management. With capabilities spanning digital twins, normal behavior modeling, natural language processing, and computer vision, Avathon delivers real-time predictive intelligence and agentic decision-making at industrial scale. Cutting-Edge AI Innovation Join a team at the forefront of AI, developing groundbreaking solutions that shape the future. High-Growth Environment Thrive in a fast-scaling startup where agility, collaboration, and rapid professional growth are the norm. Meaningful Impact Work on AI-driven projects that drive real change across industries and improve lives. Learn more at: About the Role As the only physical AI unicorn headquartered in the San Francisco Bay Area, we go beyond models and dashboards - we deploy AI that continuously computes across supply chains, energy systems, and industrial operations. Our Operational Technology platform turns fragmented data into real-time, autonomous decisioning across the systems that power the global economy. This is not digital AI. This is AI for operational reality - where latency, constraints, and failure have real-world consequences. Forward Deployed AI Engineers at Avathon are rewiring how the physical world operates. You will work directly with customers to take the hardest operational problems - multi-echelon supply chains, constrained production systems, global logistics networks - and turn them into continuously computing, AI-led systems. You will design, build, and deploy production-grade AI applications that operate across real-world infrastructure where decisions propagate across thousands of nodes in real time. Responsibilities This role operates with the intensity and ownership of a founder in the field: Own end-to-end delivery of high-stakes deployments in operational environments Design and implement Avathon's Computational Knowledge Graph (CKG) that unifies data, constraints, and decisioning - performing continuous computation across physical networks Replace static planning workflows with real-time, autonomous execution applications Work side-by-side with operators, planners, and key stakeholders to define problems and deliver solutions Push systems into production that directly control and influence real-world operations Drive product evolution by feeding field learnings back into Avathon's core platform Preferred Skills Experience building AI/ML applications in production Strong foundation in machine learning, optimization, and system design Exceptional inferencing skills on applying necessary models in the field Demonstrated proficiency in programming languages such as Python, Java, C++, TypeScript/JavaScript, or similar Ability to reason complex, interconnected systems (supply chains, networks, infrastructure) Ability to move from problem to architecture to deployment without handoffs We Value We value engineers who build systems and tune industrial models Comfort operating in ambiguity, pressure, and high-stakes environments Willingness to work directly with customers and operate in real-world environments Travel to customer sites (up to 50%) Qualifications Bachelor's degree in Science, Technology, Engineering An active U.S. Government security clearance (preferred) Excellent problem-solving, critical thinking, and communication skills Must be authorized to work in the United States without current or future company sponsorship Compensation & Benefits California Base Salary Range: $130,000 - $180,000 USD (based on experience) Equity in the form of stock options Comprehensive health, dental, and vision coverage 401(k) participation Generous PTO and company holidays Ongoing learning and development opportunities Location: Reporting out of Avathon's HQ in Pleasanton (San Francisco Bay Area), California. Avathon is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, pregnancy, genetic information, disability, status as a protected veteran, or any other protected category under applicable federal, state, and local laws. Avathon is committed to providing reasonable accommodations throughout the recruiting process. If you need a reasonable accommodation, please contact us to discuss how we can assist you.
About Arize AI is rapidly transforming the world. As generative AI reshapes industries, teams need powerful ways to monitor, troubleshoot, and optimize their AI systems. That's where we come in. Arize AI is the leading AI & Agent Engineering observability and evaluation platform , empowering AI engineers to ship high-performing, reliable agents and applications. From first prototype to production scale, Arize AX unifies build, test, and run in a single workspace-so teams can ship faster with confidence. We're a Series C company backed by top-tier investors,with over $135M in funding and a rapidly growing customer base of 150+ leading enterprises and Fortune 500 companies. Customers like Uber, Siemens, and PepsiCo leverage Arize to deliver AI that works. The Opportunity We are seeking an experienced Forward Deployed AI Engineer to work directly with client engineering teams, manage multiple concurrent projects, and drive technical solutions that extend beyond our core platform offering. This is a client-facing, hands-on technical role that combines deep AI expertise with business acumen to deliver results on tight timelines while building lasting client relationships. While we are a remote-first company, the nature of this role requires candidates to be based in the New York City metro area. What You'll Do Partner directly with enterprise AI teams to design, implement, and scale production-grade GenAI observability and evaluation programs. Lead technical discussions with customer stakeholders ranging from engineers to senior executives, translating business priorities into scalable technical solutions. Build custom integrations, tooling, and workflows that extend the Arize platform to meet customer-specific requirements. Manage multiple concurrent customer engagements, driving projects from scoping through delivery while maintaining a high bar for technical execution and customer experience. Collaborate cross-functionally with Sales, CS, Product, and Engineering teams to shape implementation strategy, influence product direction, and expand customer impact. Help define and scale best practices, technical playbooks, and delivery methodologies for the growing Forward Deployed Engineering team. What We're Looking For Software Development: 2-5 years of hands-on software development experience with strong technical foundations. We work extensively in Python, Java, and TypeScript, and expect candidates to be comfortable working in at least two of those languages. ML/AI Engineering: Experience building MLOps pipelines and/or developing, deploying, and iterating on Generative AI applications in production environments Cloud Technologies : Experience working with public cloud platforms (e.g., AWS, GCP, Azure) as well as containerization and orchestration technologies (e.g., Docker and Kubernetes). Communication: Excellent communication skills with the ability to work effectively across both technical and business audiences. You should be comfortable engaging with senior executives on business outcomes and metrics, collaborating with engineers on technical implementation details, and translating seamlessly between the two. Project Management: Proven ability to manage multiple client engineering engagements simultaneously and deliver high-quality technical outcomes under demanding timelines. Adaptability: Comfortable operating in fast-paced startup or consulting environments, with the ability to navigate diverse client organizations, technical stacks, and evolving priorities. Passion for AI: We live and breathe AI at Arize. The strongest candidates are genuinely excited about the space and energized by staying at the forefront of rapidly evolving AI technologies. The estimated annual salary and variable compensation for this role is between $155,000 - $190,000, plus a competitive equity package. Actual compensation is determined based upon a variety of job related factors that may include: transferable work experience, skill sets, and qualifications. Total compensation also includes a comprehensive benefit package, including: medical, dental, vision, 401(k) plan, unlimited paid time off, generous parental leave plan, and others for mental and wellness support. While we are a remote-first company, we have opened offices in New York City and the San Francisco Bay Area, as an option for those in those cities who wish to work in-person. For all other employees, there is a WFH monthly stipend to pay for co-working spaces. More About Arize Arize's mission is to make the world's AI work-and work for people. Our founders came together through a shared frustration: while investments in AI are growing rapidly across every industry, organizations face a critical challenge-understanding whether AI is performing and how to improve it at scale. Learn more about what we're doing here: Diversity & Our company's mission is to make AI work and make AI work for the people, we hope to make an impact in bias industry-wide and that's a big motivator for people who work here. We actively hope that individuals contribute to a good culture Regularly have chats with industry experts, researchers, and ethicists across the ecosystem to advance the use of responsible AI Culturally conscious events such as LGBTQ trivia during pride month We have an active Lady Arizers subgroup
09/25/2026
Full time
About Arize AI is rapidly transforming the world. As generative AI reshapes industries, teams need powerful ways to monitor, troubleshoot, and optimize their AI systems. That's where we come in. Arize AI is the leading AI & Agent Engineering observability and evaluation platform , empowering AI engineers to ship high-performing, reliable agents and applications. From first prototype to production scale, Arize AX unifies build, test, and run in a single workspace-so teams can ship faster with confidence. We're a Series C company backed by top-tier investors,with over $135M in funding and a rapidly growing customer base of 150+ leading enterprises and Fortune 500 companies. Customers like Uber, Siemens, and PepsiCo leverage Arize to deliver AI that works. The Opportunity We are seeking an experienced Forward Deployed AI Engineer to work directly with client engineering teams, manage multiple concurrent projects, and drive technical solutions that extend beyond our core platform offering. This is a client-facing, hands-on technical role that combines deep AI expertise with business acumen to deliver results on tight timelines while building lasting client relationships. While we are a remote-first company, the nature of this role requires candidates to be based in the New York City metro area. What You'll Do Partner directly with enterprise AI teams to design, implement, and scale production-grade GenAI observability and evaluation programs. Lead technical discussions with customer stakeholders ranging from engineers to senior executives, translating business priorities into scalable technical solutions. Build custom integrations, tooling, and workflows that extend the Arize platform to meet customer-specific requirements. Manage multiple concurrent customer engagements, driving projects from scoping through delivery while maintaining a high bar for technical execution and customer experience. Collaborate cross-functionally with Sales, CS, Product, and Engineering teams to shape implementation strategy, influence product direction, and expand customer impact. Help define and scale best practices, technical playbooks, and delivery methodologies for the growing Forward Deployed Engineering team. What We're Looking For Software Development: 2-5 years of hands-on software development experience with strong technical foundations. We work extensively in Python, Java, and TypeScript, and expect candidates to be comfortable working in at least two of those languages. ML/AI Engineering: Experience building MLOps pipelines and/or developing, deploying, and iterating on Generative AI applications in production environments Cloud Technologies : Experience working with public cloud platforms (e.g., AWS, GCP, Azure) as well as containerization and orchestration technologies (e.g., Docker and Kubernetes). Communication: Excellent communication skills with the ability to work effectively across both technical and business audiences. You should be comfortable engaging with senior executives on business outcomes and metrics, collaborating with engineers on technical implementation details, and translating seamlessly between the two. Project Management: Proven ability to manage multiple client engineering engagements simultaneously and deliver high-quality technical outcomes under demanding timelines. Adaptability: Comfortable operating in fast-paced startup or consulting environments, with the ability to navigate diverse client organizations, technical stacks, and evolving priorities. Passion for AI: We live and breathe AI at Arize. The strongest candidates are genuinely excited about the space and energized by staying at the forefront of rapidly evolving AI technologies. The estimated annual salary and variable compensation for this role is between $155,000 - $190,000, plus a competitive equity package. Actual compensation is determined based upon a variety of job related factors that may include: transferable work experience, skill sets, and qualifications. Total compensation also includes a comprehensive benefit package, including: medical, dental, vision, 401(k) plan, unlimited paid time off, generous parental leave plan, and others for mental and wellness support. While we are a remote-first company, we have opened offices in New York City and the San Francisco Bay Area, as an option for those in those cities who wish to work in-person. For all other employees, there is a WFH monthly stipend to pay for co-working spaces. More About Arize Arize's mission is to make the world's AI work-and work for people. Our founders came together through a shared frustration: while investments in AI are growing rapidly across every industry, organizations face a critical challenge-understanding whether AI is performing and how to improve it at scale. Learn more about what we're doing here: Diversity & Our company's mission is to make AI work and make AI work for the people, we hope to make an impact in bias industry-wide and that's a big motivator for people who work here. We actively hope that individuals contribute to a good culture Regularly have chats with industry experts, researchers, and ethicists across the ecosystem to advance the use of responsible AI Culturally conscious events such as LGBTQ trivia during pride month We have an active Lady Arizers subgroup
C3 AI (NYSE: AI), is the Enterprise AI application software company. C3 AI delivers a family of fully integrated products including the C3 Agentic AI Platform, an end-to-end platform for developing, deploying, and operating enterprise AI applications, C3 AI applications, a portfolio of industry-specific SaaS enterprise AI applications that enable the digital transformation of organizations globally, and C3 Generative AI, a suite of domain-specific generative AI offerings for the enterprise. Learn more at: C3 AI C3 AI is seeking a talented Product Manager, Platform - Cloud Infrastructure (Commercial/Federal) to lead the product strategy and roadmap for automating deployments of the C3 Agentic AI Platform across C3-managed, customer, and Federal cloud environments to enable global enterprise and public sector adoption. By driving cross-functional teamwork across Engineering, Cloud Operations, Product, and Field Operations, you will deliver critical capabilities like automated provisioning and deployment repeatability. You will translate sophisticated cloud deployment requirements into clearly defined product features, acceptance criteria, and prioritized backlog items. Managing a comprehensive deployment automation roadmap, you will oversee multi-cloud coverage, data residency requirements, and platform rollout plans across all deployment targets. You will also partner with platform teams to resolve foundational blockers related to tenant onboarding, infrastructure configuration, and operational readiness. Finally, you will serve as a trusted product leader to cross-functional stakeholders and executive leadership, framing trade-offs and prioritizing investments to scale automated deployments across C3, customer, and Federal cloud environments. This role spans both commercial deployments (C3-managed SaaS and customer-managed VPC / BYOC environments on AWS, Azure, and GCP) and Federal deployments (AWS GovCloud, Azure Government, and air-gapped environments) aligned to FedRAMP Moderate/High and DoD IL4-IL6 controls. You will define how a single platform release flows through hardened, compliance-bound pipelines to reach every target environment with predictable quality, security, and time-to-deploy. Responsibilities : Own the product vision for deployment automation - including roadmaps, product specifications, and release planning - working closely with Engineering, Cloud Operations, Product, and Field Operations across all levels of team planning. Define and track leading indicators of deployment performance and reliability, and drive prioritization decisions based on insights from platform metrics, deployment reporting, and operational data. Create and maintain concrete, quantitative, and descriptive profiles of deployment targets and customer environments, including infrastructure configurations, cloud tenancy models, and API and data execution profiles across C3-managed, customer, and Federal clouds. Partner with Cloud Operations, Platform Engineering, Services, and customers to evaluate and continuously improve deployment automation maturity, repeatability, and operational readiness. Drive cross-functional alignment across Engineering, Cloud Operations, Field Operations, Marketing, Sales, and Services, ensuring deployment capabilities are well understood, prioritized, and communicated to all stakeholders. Justify roadmap investments and trade-offs with both qualitative and quantitative evidence, including deployment velocity metrics, customer feedback, and operational impact data. Drive the customer-managed deployment experience - including private connectivity, customer-managed keys (CMK/BYOK), IAM federation, network egress controls, and Kubernetes-on-customer-cluster patterns - so a customer can stand up and operate C3 in their own VPC with the same reliability bar as C3-managed SaaS. Set and hold the bar on deployment KPIs - for example, time-to-stand-up a new tenant, deployment success rate, mean-time-to-recover for failed rollouts, and patch latency across the fleet - and partner with Forward Deployed Engineering on the feedback loop from real customer deployments back into the platform roadmap. Qualifications : Bachelor of Science in a STEM field; MBA or Master of Science preferred. 5+ years of product management or technical program management experience, with a strong background in cloud infrastructure, deployment automation, and enterprise or public sector environments. Excellent verbal and written communication and presentation skills, with the ability to convey complex technical concepts to both executive and engineering audiences. Strong problem-solving skills and bias for action - able to navigate both business and technical domains and provide clear guidance to internal and external implementation teams. Deep understanding of modern cloud platforms and compute technologies, including Kubernetes, Apache Spark, Azure, AWS, GCP, and experience with Federal cloud environments such as AWS GovCloud or Azure Government. Working fluency with Kubernetes networking, identity, and multi-tenant isolation patterns is required; hands-on familiarity with at least one of AWS, Azure, or GCP at the deployment-architect level (VPC design, IAM, KMS/HSM, private endpoints) is expected. Technical proficiency with distributed systems, relational databases, and key-value stores, with the ability to read and understand code and architecture diagrams, though not expected to function as an engineer. Familiarity with AI/ML platform deployment, agentic AI frameworks, or enterprise SaaS deployment models is a strong plus. Demonstrated product ownership of Infrastructure-as-Code, GitOps, or CI/CD tooling (Terraform, Helm, ArgoCD/Flux, Crossplane, Tekton, or similar), with a clear point of view on how release engineering should differ between commercial SaaS and Federal pipelines. Strong plus: experience deploying agentic or LLM-powered workloads - model serving, retrieval/vector stores, tool/MCP integrations, eval and guardrail pipelines - into regulated or air-gapped environments where commercial frontier model APIs are not available. U.S. citizenship is required to support Federal customer engagements. Existing or ability to obtain a U.S. government security clearance (Public Trust, Secret, or higher) is a strong plus. Preferred Qualifications : Direct experience supporting a product through a FedRAMP Moderate or High authorization (or DoD IL4/IL5/IL6 equivalent) - including SSP contributions, control inheritance decisions, POA&M management, and working alongside a 3PAO. Familiarity with NIST 800-53 and CMMC is expected. Candidates must be authorized to work in the United States without the need for current or future company sponsorship. C3 AI provides excellent benefits, a competitive compensation package and generous equity plan. California Base Pay Range $150,000-$190,000 USD C3 AI is proud to be an Equal Opportunity and Affirmative Action Employer. We do not discriminate on the basis of any legally protected characteristics, including disabled and veteran status.
09/25/2026
Full time
C3 AI (NYSE: AI), is the Enterprise AI application software company. C3 AI delivers a family of fully integrated products including the C3 Agentic AI Platform, an end-to-end platform for developing, deploying, and operating enterprise AI applications, C3 AI applications, a portfolio of industry-specific SaaS enterprise AI applications that enable the digital transformation of organizations globally, and C3 Generative AI, a suite of domain-specific generative AI offerings for the enterprise. Learn more at: C3 AI C3 AI is seeking a talented Product Manager, Platform - Cloud Infrastructure (Commercial/Federal) to lead the product strategy and roadmap for automating deployments of the C3 Agentic AI Platform across C3-managed, customer, and Federal cloud environments to enable global enterprise and public sector adoption. By driving cross-functional teamwork across Engineering, Cloud Operations, Product, and Field Operations, you will deliver critical capabilities like automated provisioning and deployment repeatability. You will translate sophisticated cloud deployment requirements into clearly defined product features, acceptance criteria, and prioritized backlog items. Managing a comprehensive deployment automation roadmap, you will oversee multi-cloud coverage, data residency requirements, and platform rollout plans across all deployment targets. You will also partner with platform teams to resolve foundational blockers related to tenant onboarding, infrastructure configuration, and operational readiness. Finally, you will serve as a trusted product leader to cross-functional stakeholders and executive leadership, framing trade-offs and prioritizing investments to scale automated deployments across C3, customer, and Federal cloud environments. This role spans both commercial deployments (C3-managed SaaS and customer-managed VPC / BYOC environments on AWS, Azure, and GCP) and Federal deployments (AWS GovCloud, Azure Government, and air-gapped environments) aligned to FedRAMP Moderate/High and DoD IL4-IL6 controls. You will define how a single platform release flows through hardened, compliance-bound pipelines to reach every target environment with predictable quality, security, and time-to-deploy. Responsibilities : Own the product vision for deployment automation - including roadmaps, product specifications, and release planning - working closely with Engineering, Cloud Operations, Product, and Field Operations across all levels of team planning. Define and track leading indicators of deployment performance and reliability, and drive prioritization decisions based on insights from platform metrics, deployment reporting, and operational data. Create and maintain concrete, quantitative, and descriptive profiles of deployment targets and customer environments, including infrastructure configurations, cloud tenancy models, and API and data execution profiles across C3-managed, customer, and Federal clouds. Partner with Cloud Operations, Platform Engineering, Services, and customers to evaluate and continuously improve deployment automation maturity, repeatability, and operational readiness. Drive cross-functional alignment across Engineering, Cloud Operations, Field Operations, Marketing, Sales, and Services, ensuring deployment capabilities are well understood, prioritized, and communicated to all stakeholders. Justify roadmap investments and trade-offs with both qualitative and quantitative evidence, including deployment velocity metrics, customer feedback, and operational impact data. Drive the customer-managed deployment experience - including private connectivity, customer-managed keys (CMK/BYOK), IAM federation, network egress controls, and Kubernetes-on-customer-cluster patterns - so a customer can stand up and operate C3 in their own VPC with the same reliability bar as C3-managed SaaS. Set and hold the bar on deployment KPIs - for example, time-to-stand-up a new tenant, deployment success rate, mean-time-to-recover for failed rollouts, and patch latency across the fleet - and partner with Forward Deployed Engineering on the feedback loop from real customer deployments back into the platform roadmap. Qualifications : Bachelor of Science in a STEM field; MBA or Master of Science preferred. 5+ years of product management or technical program management experience, with a strong background in cloud infrastructure, deployment automation, and enterprise or public sector environments. Excellent verbal and written communication and presentation skills, with the ability to convey complex technical concepts to both executive and engineering audiences. Strong problem-solving skills and bias for action - able to navigate both business and technical domains and provide clear guidance to internal and external implementation teams. Deep understanding of modern cloud platforms and compute technologies, including Kubernetes, Apache Spark, Azure, AWS, GCP, and experience with Federal cloud environments such as AWS GovCloud or Azure Government. Working fluency with Kubernetes networking, identity, and multi-tenant isolation patterns is required; hands-on familiarity with at least one of AWS, Azure, or GCP at the deployment-architect level (VPC design, IAM, KMS/HSM, private endpoints) is expected. Technical proficiency with distributed systems, relational databases, and key-value stores, with the ability to read and understand code and architecture diagrams, though not expected to function as an engineer. Familiarity with AI/ML platform deployment, agentic AI frameworks, or enterprise SaaS deployment models is a strong plus. Demonstrated product ownership of Infrastructure-as-Code, GitOps, or CI/CD tooling (Terraform, Helm, ArgoCD/Flux, Crossplane, Tekton, or similar), with a clear point of view on how release engineering should differ between commercial SaaS and Federal pipelines. Strong plus: experience deploying agentic or LLM-powered workloads - model serving, retrieval/vector stores, tool/MCP integrations, eval and guardrail pipelines - into regulated or air-gapped environments where commercial frontier model APIs are not available. U.S. citizenship is required to support Federal customer engagements. Existing or ability to obtain a U.S. government security clearance (Public Trust, Secret, or higher) is a strong plus. Preferred Qualifications : Direct experience supporting a product through a FedRAMP Moderate or High authorization (or DoD IL4/IL5/IL6 equivalent) - including SSP contributions, control inheritance decisions, POA&M management, and working alongside a 3PAO. Familiarity with NIST 800-53 and CMMC is expected. Candidates must be authorized to work in the United States without the need for current or future company sponsorship. C3 AI provides excellent benefits, a competitive compensation package and generous equity plan. California Base Pay Range $150,000-$190,000 USD C3 AI is proud to be an Equal Opportunity and Affirmative Action Employer. We do not discriminate on the basis of any legally protected characteristics, including disabled and veteran status.
C3 AI (NYSE: AI), is the Enterprise AI application software company. C3 AI delivers a family of fully integrated products including the C3 Agentic AI Platform, an end-to-end platform for developing, deploying, and operating enterprise AI applications, C3 AI applications, a portfolio of industry-specific SaaS enterprise AI applications that enable the digital transformation of organizations globally, and C3 Generative AI, a suite of domain-specific generative AI offerings for the enterprise. Learn more at: C3 AI C3 AI is seeking Forward Deployed Engineers . As a Forward Deployed Engineer, you will be engineering full-stack AI-driven web applications on the C3 AI Platform, working directly with customers to design, develop, and deploy production applications, demos, and proofs-of-technology. An ideal candidate possesses strategic and analytical aptitude, software development expertise, and excellent interpersonal skills. Responsibilities Develop and deploy applications. Engineer full-stack, AI-based enterprise applications on the C3 AI Platform. Mentor junior team members. Share coding standards and design techniques with less experienced engineers. Conduct design and code reviews. Review customer software applications for quality, architecture, and best practices. Test and enhance customer applications. Troubleshoot, test, and improve customer software applications directly and on behalf of customers. Deliver technical enablement. Lead technical deep-dives, product demonstrations, and customer training sessions. Write documentation. Produce application specifications, technical documentation, and supporting artifacts. Identify and mitigate risk. Continuously surface technical risks and gaps; devise mitigation strategies in anticipation of customer needs. Drive product improvement. Work closely with product management and engineering to improve the overall quality of C3 AI software. Qualifications Bachelor's degree in Science, Technology, Engineering, or Mathematics (STEM), or a comparable area of study. 2+ years of professional software development experience with object-oriented programming languages. Strong verbal and written communication skills; ability to work effectively on a cross-functional team. Analytical and problem-solving abilities. Organizational skills and attention to detail. Ability to travel as needed. Preferred qualifications Graduate degree in Science, Technology, Engineering, or Mathematics (STEM), or a comparable area of study. Experience deploying enterprise-scale applications. Experience working in a customer-facing role. Software development experience with JavaScript and Python. Experience with Git or other version control software. Experience working with JavaScript frameworks such as React, Redux, Vue, Backbone, or Angular. C3 AI provides excellent benefits, a competitive compensation package and generous equity plan. California Base Pay Range $120,000-$158,000 USD C3 AI is proud to be an Equal Opportunity and Affirmative Action Employer. We do not discriminate on the basis of any legally protected characteristics, including disabled and veteran status.
09/25/2026
Full time
C3 AI (NYSE: AI), is the Enterprise AI application software company. C3 AI delivers a family of fully integrated products including the C3 Agentic AI Platform, an end-to-end platform for developing, deploying, and operating enterprise AI applications, C3 AI applications, a portfolio of industry-specific SaaS enterprise AI applications that enable the digital transformation of organizations globally, and C3 Generative AI, a suite of domain-specific generative AI offerings for the enterprise. Learn more at: C3 AI C3 AI is seeking Forward Deployed Engineers . As a Forward Deployed Engineer, you will be engineering full-stack AI-driven web applications on the C3 AI Platform, working directly with customers to design, develop, and deploy production applications, demos, and proofs-of-technology. An ideal candidate possesses strategic and analytical aptitude, software development expertise, and excellent interpersonal skills. Responsibilities Develop and deploy applications. Engineer full-stack, AI-based enterprise applications on the C3 AI Platform. Mentor junior team members. Share coding standards and design techniques with less experienced engineers. Conduct design and code reviews. Review customer software applications for quality, architecture, and best practices. Test and enhance customer applications. Troubleshoot, test, and improve customer software applications directly and on behalf of customers. Deliver technical enablement. Lead technical deep-dives, product demonstrations, and customer training sessions. Write documentation. Produce application specifications, technical documentation, and supporting artifacts. Identify and mitigate risk. Continuously surface technical risks and gaps; devise mitigation strategies in anticipation of customer needs. Drive product improvement. Work closely with product management and engineering to improve the overall quality of C3 AI software. Qualifications Bachelor's degree in Science, Technology, Engineering, or Mathematics (STEM), or a comparable area of study. 2+ years of professional software development experience with object-oriented programming languages. Strong verbal and written communication skills; ability to work effectively on a cross-functional team. Analytical and problem-solving abilities. Organizational skills and attention to detail. Ability to travel as needed. Preferred qualifications Graduate degree in Science, Technology, Engineering, or Mathematics (STEM), or a comparable area of study. Experience deploying enterprise-scale applications. Experience working in a customer-facing role. Software development experience with JavaScript and Python. Experience with Git or other version control software. Experience working with JavaScript frameworks such as React, Redux, Vue, Backbone, or Angular. C3 AI provides excellent benefits, a competitive compensation package and generous equity plan. California Base Pay Range $120,000-$158,000 USD C3 AI is proud to be an Equal Opportunity and Affirmative Action Employer. We do not discriminate on the basis of any legally protected characteristics, including disabled and veteran status.
About Arize AI is rapidly transforming the world. As generative AI reshapes industries, teams need powerful ways to monitor, troubleshoot, and optimize their AI systems. That's where we come in. Arize AI is the leading AI & Agent Engineering observability and evaluation platform , empowering AI engineers to ship high-performing, reliable agents and applications. From first prototype to production scale, Arize AX unifies build, test, and run in a single workspace-so teams can ship faster with confidence. We're a Series C company backed by top-tier investors,with over $135M in funding and a rapidly growing customer base of 150+ leading enterprises and Fortune 500 companies. Customers like Uber, Siemens, and PepsiCo leverage Arize to deliver AI that works. The Opportunity We are seeking an experienced Forward Deployed AI Engineer to work directly with client engineering teams, manage multiple concurrent projects, and drive technical solutions that extend beyond our core platform offering. This is a client-facing, hands-on technical role that combines deep AI expertise with business acumen to deliver results on tight timelines while building lasting client relationships. While we are a remote-first company, the nature of this role requires candidates to be based in the San Francisco Bay area/PST time zone. What You'll Do Partner directly with enterprise AI teams to design, implement, and scale production-grade GenAI observability and evaluation programs. Lead technical discussions with customer stakeholders ranging from engineers to senior executives, translating business priorities into scalable technical solutions. Build custom integrations, tooling, and workflows that extend the Arize platform to meet customer-specific requirements. Manage multiple concurrent customer engagements, driving projects from scoping through delivery while maintaining a high bar for technical execution and customer experience. Collaborate cross-functionally with Sales, CS, Product, and Engineering teams to shape implementation strategy, influence product direction, and expand customer impact. Help define and scale best practices, technical playbooks, and delivery methodologies for the growing Forward Deployed Engineering team. What We're Looking For Software Development: 2-5 years of hands-on software development experience with strong technical foundations. We work extensively in Python, Java, and TypeScript, and expect candidates to be comfortable working in at least two of those languages. ML/AI Engineering: Experience building MLOps pipelines and/or developing, deploying, and iterating on Generative AI applications in production environments Cloud Technologies : Experience working with public cloud platforms (e.g., AWS, GCP, Azure) as well as containerization and orchestration technologies (e.g., Docker and Kubernetes). Communication: Excellent communication skills with the ability to work effectively across both technical and business audiences. You should be comfortable engaging with senior executives on business outcomes and metrics, collaborating with engineers on technical implementation details, and translating seamlessly between the two. Project Management: Proven ability to manage multiple client engineering engagements simultaneously and deliver high-quality technical outcomes under demanding timelines. Adaptability: Comfortable operating in fast-paced startup or consulting environments, with the ability to navigate diverse client organizations, technical stacks, and evolving priorities. Passion for AI: We live and breathe AI at Arize. The strongest candidates are genuinely excited about the space and energized by staying at the forefront of rapidly evolving AI technologies. The estimated annual salary and variable compensation for this role is between $155,000 - $190,000, plus a competitive equity package. Actual compensation is determined based upon a variety of job related factors that may include: transferable work experience, skill sets, and qualifications. Total compensation also includes a comprehensive benefit package, including: medical, dental, vision, 401(k) plan, unlimited paid time off, generous parental leave plan, and others for mental and wellness support. While we are a remote-first company, we have opened offices in New York City and the San Francisco Bay Area, as an option for those in those cities who wish to work in-person. For all other employees, there is a WFH monthly stipend to pay for co-working spaces. More About Arize Arize's mission is to make the world's AI work-and work for people. Our founders came together through a shared frustration: while investments in AI are growing rapidly across every industry, organizations face a critical challenge-understanding whether AI is performing and how to improve it at scale. Learn more about what we're doing here: Diversity & Our company's mission is to make AI work and make AI work for the people, we hope to make an impact in bias industry-wide and that's a big motivator for people who work here. We actively hope that individuals contribute to a good culture Regularly have chats with industry experts, researchers, and ethicists across the ecosystem to advance the use of responsible AI Culturally conscious events such as LGBTQ trivia during pride month We have an active Lady Arizers subgroup
09/25/2026
Full time
About Arize AI is rapidly transforming the world. As generative AI reshapes industries, teams need powerful ways to monitor, troubleshoot, and optimize their AI systems. That's where we come in. Arize AI is the leading AI & Agent Engineering observability and evaluation platform , empowering AI engineers to ship high-performing, reliable agents and applications. From first prototype to production scale, Arize AX unifies build, test, and run in a single workspace-so teams can ship faster with confidence. We're a Series C company backed by top-tier investors,with over $135M in funding and a rapidly growing customer base of 150+ leading enterprises and Fortune 500 companies. Customers like Uber, Siemens, and PepsiCo leverage Arize to deliver AI that works. The Opportunity We are seeking an experienced Forward Deployed AI Engineer to work directly with client engineering teams, manage multiple concurrent projects, and drive technical solutions that extend beyond our core platform offering. This is a client-facing, hands-on technical role that combines deep AI expertise with business acumen to deliver results on tight timelines while building lasting client relationships. While we are a remote-first company, the nature of this role requires candidates to be based in the San Francisco Bay area/PST time zone. What You'll Do Partner directly with enterprise AI teams to design, implement, and scale production-grade GenAI observability and evaluation programs. Lead technical discussions with customer stakeholders ranging from engineers to senior executives, translating business priorities into scalable technical solutions. Build custom integrations, tooling, and workflows that extend the Arize platform to meet customer-specific requirements. Manage multiple concurrent customer engagements, driving projects from scoping through delivery while maintaining a high bar for technical execution and customer experience. Collaborate cross-functionally with Sales, CS, Product, and Engineering teams to shape implementation strategy, influence product direction, and expand customer impact. Help define and scale best practices, technical playbooks, and delivery methodologies for the growing Forward Deployed Engineering team. What We're Looking For Software Development: 2-5 years of hands-on software development experience with strong technical foundations. We work extensively in Python, Java, and TypeScript, and expect candidates to be comfortable working in at least two of those languages. ML/AI Engineering: Experience building MLOps pipelines and/or developing, deploying, and iterating on Generative AI applications in production environments Cloud Technologies : Experience working with public cloud platforms (e.g., AWS, GCP, Azure) as well as containerization and orchestration technologies (e.g., Docker and Kubernetes). Communication: Excellent communication skills with the ability to work effectively across both technical and business audiences. You should be comfortable engaging with senior executives on business outcomes and metrics, collaborating with engineers on technical implementation details, and translating seamlessly between the two. Project Management: Proven ability to manage multiple client engineering engagements simultaneously and deliver high-quality technical outcomes under demanding timelines. Adaptability: Comfortable operating in fast-paced startup or consulting environments, with the ability to navigate diverse client organizations, technical stacks, and evolving priorities. Passion for AI: We live and breathe AI at Arize. The strongest candidates are genuinely excited about the space and energized by staying at the forefront of rapidly evolving AI technologies. The estimated annual salary and variable compensation for this role is between $155,000 - $190,000, plus a competitive equity package. Actual compensation is determined based upon a variety of job related factors that may include: transferable work experience, skill sets, and qualifications. Total compensation also includes a comprehensive benefit package, including: medical, dental, vision, 401(k) plan, unlimited paid time off, generous parental leave plan, and others for mental and wellness support. While we are a remote-first company, we have opened offices in New York City and the San Francisco Bay Area, as an option for those in those cities who wish to work in-person. For all other employees, there is a WFH monthly stipend to pay for co-working spaces. More About Arize Arize's mission is to make the world's AI work-and work for people. Our founders came together through a shared frustration: while investments in AI are growing rapidly across every industry, organizations face a critical challenge-understanding whether AI is performing and how to improve it at scale. Learn more about what we're doing here: Diversity & Our company's mission is to make AI work and make AI work for the people, we hope to make an impact in bias industry-wide and that's a big motivator for people who work here. We actively hope that individuals contribute to a good culture Regularly have chats with industry experts, researchers, and ethicists across the ecosystem to advance the use of responsible AI Culturally conscious events such as LGBTQ trivia during pride month We have an active Lady Arizers subgroup
Huron is redefining what a global consulting organization can be. Advancing new ideas every day to build even stronger clients, individuals and communities. We're helping our clients find new ways to drive growth, enhance business performance and sustain leadership in the markets they serve. And, we're developing strategies and implementing solutions that enable the transformative change they need to own their future. As a member of the Huron corporate team, you'll help to evolve our business model to stay ahead of market forces, industry trends and client needs. Our accounting, finance, human resources, IT, legal, marketing and facilities management professionals work collaboratively to support Huron's collective strategies and enable real transformation to produce sustainable business results. Join our team and create your future. This person leads the AICC engineers who work inside Huron's business teams during US and Canada hours. They run and grow the engineering team, own delivery on their engagements, stay close to the business teams they serve, and stay technical enough to build on the hardest projects themselves. Key Responsibilities Lead the team. Independently lead the assigned engineers in the US and Canada window. Match people to engagements with the AICC Lead, assign work to fit availability, motivation, and growth, coach and evaluate the team, and own its delivery quality, its culture, and keeping good people. Run the work in sprints. Lead sprint planning, agree a clear Definition of Ready and Definition of Done with the business and product owners, run the review demo, and hand the finished work to production. Own engagement delivery. Be accountable for the solution end to end: the architecture and its quality, meeting the goals set, defining who does what, and resolving technical risks as they arise. Stay hands-on where it counts. On the hardest projects, build alongside the engineer, and uphold and improve the team's technical standard. Own the business relationship. Own the relationship with business stakeholders up to executive level on your engagements. Before a build starts, agree what success looks like and how it will be measured. Make sure each team sets one clear priority and names who owns the result afterward. Present the value case to executive leadership. Reuse what works. Turn good builds into reusable tools, standards, and methods the next project starts from. Grow the bench. Help recruit and select talent, and plan and run technical training across the team. Show the value in plain numbers. Measure before and after: hours saved, less rework, more capacity, faster answers. Preferred Qualifications Current and credible with agentic engineering tools and IDEs (Cursor, Claude Code, Codex, or similar). Solid full-stack background: React and JavaScript / TypeScript on the front end, and Python (FastAPI, Django, Flask) on the back end. Has built and shipped AI solutions (LLMs and agents) into real systems, and knows how to test that work so the team can stand behind its quality. Cloud (Azure, AWS) and containers (Docker, Kubernetes), with sound CI/CD, testing, and secure development practices. Agile and Scrum delivery, including sprint planning and working in sprints. Depth across several technical areas, and a track record of mentoring others in them. Comfortable in fast-paced, changing environments with shifting priorities and unclear problems. Senior people trust you. You'll push back on a badly framed problem and defer on what you don't know. Can translate business workflows into working solutions. Required Skills 8 to 10+ years building or delivering technical work, including 2+ years leading engineers. Comfortable estimating, planning, and running several engagements of different scale at once. Clear writer and speaker who builds trust fast inside a team, and is credible presenting to executive leadership. Can train and grow Huron staff, including the engineers you lead, and contribute to recruiting and hiring. Aware of budget and capacity, with a practice-level eye for where cost and hours can come down on future work. Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent experience. Flexible living locations across the US, with travel as needed. The estimated base salary for this job is $165,000 - $190,000 USD. The range represents a good faith estimate of the range that Huron reasonably expects to pay for this job at the time of the job posting. The actual salary paid to an individual will vary based on multiple factors, including but not limited to specific skills or certifications, years of experience, market changes, and required travel. This job is also eligible to participate in Huron's annual incentive compensation program, which reflects Huron's pay for performance philosophy. Inclusive of annual incentive compensation opportunity, the total estimated compensation range for this job is $189,750 - $237,500 USD. The job is also eligible to participate in Huron's benefit plans which include medical, dental and vision coverage and other wellness programs. The salary range information provided is in accordance with applicable state and local laws regarding salary transparency that are currently in effect and may be implemented in the future. Position Level Senior Manager Country United States of America
09/25/2026
Full time
Huron is redefining what a global consulting organization can be. Advancing new ideas every day to build even stronger clients, individuals and communities. We're helping our clients find new ways to drive growth, enhance business performance and sustain leadership in the markets they serve. And, we're developing strategies and implementing solutions that enable the transformative change they need to own their future. As a member of the Huron corporate team, you'll help to evolve our business model to stay ahead of market forces, industry trends and client needs. Our accounting, finance, human resources, IT, legal, marketing and facilities management professionals work collaboratively to support Huron's collective strategies and enable real transformation to produce sustainable business results. Join our team and create your future. This person leads the AICC engineers who work inside Huron's business teams during US and Canada hours. They run and grow the engineering team, own delivery on their engagements, stay close to the business teams they serve, and stay technical enough to build on the hardest projects themselves. Key Responsibilities Lead the team. Independently lead the assigned engineers in the US and Canada window. Match people to engagements with the AICC Lead, assign work to fit availability, motivation, and growth, coach and evaluate the team, and own its delivery quality, its culture, and keeping good people. Run the work in sprints. Lead sprint planning, agree a clear Definition of Ready and Definition of Done with the business and product owners, run the review demo, and hand the finished work to production. Own engagement delivery. Be accountable for the solution end to end: the architecture and its quality, meeting the goals set, defining who does what, and resolving technical risks as they arise. Stay hands-on where it counts. On the hardest projects, build alongside the engineer, and uphold and improve the team's technical standard. Own the business relationship. Own the relationship with business stakeholders up to executive level on your engagements. Before a build starts, agree what success looks like and how it will be measured. Make sure each team sets one clear priority and names who owns the result afterward. Present the value case to executive leadership. Reuse what works. Turn good builds into reusable tools, standards, and methods the next project starts from. Grow the bench. Help recruit and select talent, and plan and run technical training across the team. Show the value in plain numbers. Measure before and after: hours saved, less rework, more capacity, faster answers. Preferred Qualifications Current and credible with agentic engineering tools and IDEs (Cursor, Claude Code, Codex, or similar). Solid full-stack background: React and JavaScript / TypeScript on the front end, and Python (FastAPI, Django, Flask) on the back end. Has built and shipped AI solutions (LLMs and agents) into real systems, and knows how to test that work so the team can stand behind its quality. Cloud (Azure, AWS) and containers (Docker, Kubernetes), with sound CI/CD, testing, and secure development practices. Agile and Scrum delivery, including sprint planning and working in sprints. Depth across several technical areas, and a track record of mentoring others in them. Comfortable in fast-paced, changing environments with shifting priorities and unclear problems. Senior people trust you. You'll push back on a badly framed problem and defer on what you don't know. Can translate business workflows into working solutions. Required Skills 8 to 10+ years building or delivering technical work, including 2+ years leading engineers. Comfortable estimating, planning, and running several engagements of different scale at once. Clear writer and speaker who builds trust fast inside a team, and is credible presenting to executive leadership. Can train and grow Huron staff, including the engineers you lead, and contribute to recruiting and hiring. Aware of budget and capacity, with a practice-level eye for where cost and hours can come down on future work. Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent experience. Flexible living locations across the US, with travel as needed. The estimated base salary for this job is $165,000 - $190,000 USD. The range represents a good faith estimate of the range that Huron reasonably expects to pay for this job at the time of the job posting. The actual salary paid to an individual will vary based on multiple factors, including but not limited to specific skills or certifications, years of experience, market changes, and required travel. This job is also eligible to participate in Huron's annual incentive compensation program, which reflects Huron's pay for performance philosophy. Inclusive of annual incentive compensation opportunity, the total estimated compensation range for this job is $189,750 - $237,500 USD. The job is also eligible to participate in Huron's benefit plans which include medical, dental and vision coverage and other wellness programs. The salary range information provided is in accordance with applicable state and local laws regarding salary transparency that are currently in effect and may be implemented in the future. Position Level Senior Manager Country United States of America
What Makes a Honda, is Who makes a Honda Honda has a clear vision for the future, and it's a joyful one. We are looking for individuals with the skills, courage, persistence, and dreams that will help us reach our future-focused goals. At our core is innovation. Honda is constantly innovating and developing solutions to drive our business with record success. We strive to be a company that serves as a source of "power" that supports people around the world who are trying to do things based on their own initiative and that helps people expand their own potential. To this end, Honda strives to realize "the joy and freedom of mobility" by developing new technologies and an innovative approach to achieve a "zero environmental footprint." We are looking for qualified individuals with diverse backgrounds, experiences, continuous improvement values, and a strong work ethic to join our team. If your goals and values align with Honda's, we want you to join our team to Bring the Future! Job Purpose Cloud Applications Engineer will be an experienced SaaS toolset practitioner. The position is responsible for developing complex business requirements into needed business functionality, along with maintaining, and testing backend systems within the department. This role will gain end to end knowledge of the system ecosystem, helping to support day to day activities, and will focus a few systems in the contract management, sustainability, corporate security and records management areas as needed. Key Accountabilities Will be responsible for developing (configuring), maintaining and testing assigned systems. This includes becoming very familiar with the customers business needs and priorities. It also includes getting a complete understanding of the internal and external interfaces to be able to support the day-to-day operation of the applications. Also gain an in-depth knowledge of the new technology being deployed in the unit. Achieve the goals for your area of responsibility: Support the business objectives to deliver value by providing quality IT products and services to Honda business: Applies continuous improvement methods to resolve quality and other problems in a timely fashion. Continually considers process improvements. Works for incremental improvements in operational efficiency, despite obstacles and challenges. Identifies, evaluates and confirms true root cause of problems. Uses logic and creativity to solve problems. Gathers and analyses sufficient information prior to making decisions, including risk and long-term implications. Identifies areas that require strengthening and brings forward to management. Planning: Executes goals by setting clear milestones and prioritizing activities. Takes responsibility and accountability for executing plans. Understands and works to meet milestone and resource requirements. Contributes to team alignment on day-to-day operations and plans in progress. Responds to obstacles by changing approach, process or way of working. Collaboration and Cooperation: Considers and responds appropriately to the needs of others in the spirit of building collaborative relationships. Promotes inclusion; reaches out to understand diverse viewpoints and shares ideas. Seeks to build internal or external partnerships to better accomplish goals. Qualifications, Experience, and Skills Minimum educational qualifications: Must have a 4 year college-level Bachelor's degree in Computer Science / Software Engineering / Information Technology or a related STEM field of study. Minimum work experience: 5 years' experience with general software development methodologies, as well as those specific to SaaS Cloud toolsets and platforms including: Hands-on experience with SaaS configuration of technical and functional settings. Ability to effectively manage SaaS global attributes, master data, and admin tasks Experience with coding and configuring of APIs for data extraction and integration Familiarity with middleware frameworks for connecting systems (SAP, Laserfiche, Salesforce, others) Understanding procurement, risk management, and compliance workflows Ability to configure features to enforce compliance and mitigate risks Experience working in Agile teams, using tools like Jira or Azure DevOps Strong technical and listening skills Good analytical skills along with communication and interpersonal skills, presentation skills. Ability to manage time and diverse activities under deadlines while delivering quality results, on time, on budget SHould be custom and innovation-focused Be tenacious and curious Be a continuous learner Workstyle This is an onsite job. One remote workday per week may be possible with prior departmental approval. Visa sponsorship issues This positoon is not eligible for work visa sponsorship. What differentiates Honda and make us an employer of choice? Total Rewards: Competitive Base Salary (pay will be based on several variables that include, but not limited to geographic location, work experience, etc.) Paid Overtime Regional Bonus (when applicable) Industry-leading Benefit Plans (Medical, Dental, Vision, Rx) Paid time off, including vacation, holidays, shutdown Company Paid Short-Term and Long-Term Disability 401K Plan with company match + additional contribution Career Growth: Advancement Opportunities Career Mobility Education Reimbursement for Continued Learning Training and Development programs Additional Offerings: Tuition Assistance & Student Loan Repayment Lifestyle Account Childcare Reimbursement Account Elder Care Support Wellbeing Program Community Service and Engagement Programs Product Programs Honda is an equal opportunity employer and considers qualified applicants for employment without regard to race, color, creed, religion, national origin, sex, sexual orientation, gender identity and expression, age, disability, veteran status, or any other protected factor.
09/25/2026
Full time
What Makes a Honda, is Who makes a Honda Honda has a clear vision for the future, and it's a joyful one. We are looking for individuals with the skills, courage, persistence, and dreams that will help us reach our future-focused goals. At our core is innovation. Honda is constantly innovating and developing solutions to drive our business with record success. We strive to be a company that serves as a source of "power" that supports people around the world who are trying to do things based on their own initiative and that helps people expand their own potential. To this end, Honda strives to realize "the joy and freedom of mobility" by developing new technologies and an innovative approach to achieve a "zero environmental footprint." We are looking for qualified individuals with diverse backgrounds, experiences, continuous improvement values, and a strong work ethic to join our team. If your goals and values align with Honda's, we want you to join our team to Bring the Future! Job Purpose Cloud Applications Engineer will be an experienced SaaS toolset practitioner. The position is responsible for developing complex business requirements into needed business functionality, along with maintaining, and testing backend systems within the department. This role will gain end to end knowledge of the system ecosystem, helping to support day to day activities, and will focus a few systems in the contract management, sustainability, corporate security and records management areas as needed. Key Accountabilities Will be responsible for developing (configuring), maintaining and testing assigned systems. This includes becoming very familiar with the customers business needs and priorities. It also includes getting a complete understanding of the internal and external interfaces to be able to support the day-to-day operation of the applications. Also gain an in-depth knowledge of the new technology being deployed in the unit. Achieve the goals for your area of responsibility: Support the business objectives to deliver value by providing quality IT products and services to Honda business: Applies continuous improvement methods to resolve quality and other problems in a timely fashion. Continually considers process improvements. Works for incremental improvements in operational efficiency, despite obstacles and challenges. Identifies, evaluates and confirms true root cause of problems. Uses logic and creativity to solve problems. Gathers and analyses sufficient information prior to making decisions, including risk and long-term implications. Identifies areas that require strengthening and brings forward to management. Planning: Executes goals by setting clear milestones and prioritizing activities. Takes responsibility and accountability for executing plans. Understands and works to meet milestone and resource requirements. Contributes to team alignment on day-to-day operations and plans in progress. Responds to obstacles by changing approach, process or way of working. Collaboration and Cooperation: Considers and responds appropriately to the needs of others in the spirit of building collaborative relationships. Promotes inclusion; reaches out to understand diverse viewpoints and shares ideas. Seeks to build internal or external partnerships to better accomplish goals. Qualifications, Experience, and Skills Minimum educational qualifications: Must have a 4 year college-level Bachelor's degree in Computer Science / Software Engineering / Information Technology or a related STEM field of study. Minimum work experience: 5 years' experience with general software development methodologies, as well as those specific to SaaS Cloud toolsets and platforms including: Hands-on experience with SaaS configuration of technical and functional settings. Ability to effectively manage SaaS global attributes, master data, and admin tasks Experience with coding and configuring of APIs for data extraction and integration Familiarity with middleware frameworks for connecting systems (SAP, Laserfiche, Salesforce, others) Understanding procurement, risk management, and compliance workflows Ability to configure features to enforce compliance and mitigate risks Experience working in Agile teams, using tools like Jira or Azure DevOps Strong technical and listening skills Good analytical skills along with communication and interpersonal skills, presentation skills. Ability to manage time and diverse activities under deadlines while delivering quality results, on time, on budget SHould be custom and innovation-focused Be tenacious and curious Be a continuous learner Workstyle This is an onsite job. One remote workday per week may be possible with prior departmental approval. Visa sponsorship issues This positoon is not eligible for work visa sponsorship. What differentiates Honda and make us an employer of choice? Total Rewards: Competitive Base Salary (pay will be based on several variables that include, but not limited to geographic location, work experience, etc.) Paid Overtime Regional Bonus (when applicable) Industry-leading Benefit Plans (Medical, Dental, Vision, Rx) Paid time off, including vacation, holidays, shutdown Company Paid Short-Term and Long-Term Disability 401K Plan with company match + additional contribution Career Growth: Advancement Opportunities Career Mobility Education Reimbursement for Continued Learning Training and Development programs Additional Offerings: Tuition Assistance & Student Loan Repayment Lifestyle Account Childcare Reimbursement Account Elder Care Support Wellbeing Program Community Service and Engagement Programs Product Programs Honda is an equal opportunity employer and considers qualified applicants for employment without regard to race, color, creed, religion, national origin, sex, sexual orientation, gender identity and expression, age, disability, veteran status, or any other protected factor.
Senior AI Developer (Palantir AI Platform) DETAILS Location: Remote (strong preference to candidates local to Irving, TX 75039) Travel: If not local to the Irving, TX area, must be willing to travel in 1-2x per month, as needed Position Type: Direct-Hire Hourly / Salary: to $170K+ (based on experience level) JOB SUMMARY Vaco is currently seeking a Senior AI Developer (Palantir AI Platform) for a Direct-Hire opportunity that may be performed remotely with travel to Irving, TX approximately 1-2 times per month. The Senior AI Developer will own the complete lifecycle of enterprise AI initiatives. Rather than building isolated machine learning models, the Senior AI Developer will work directly with business leaders to identify valuable use cases, design technical architectures, develop production-grade AI applications, deploy them into cloud environments, and ensure they remain secure, scalable, monitored, and governed over time. The Senior AI Developer will operate at the intersection of AI Engineering, Software Development, Cloud Engineering, MLOps, Solution Architecture, and Business Consulting, requiring someone who is equally comfortable writing production Python code, designing LLM applications, facilitating whiteboard sessions with executives, and measuring business value after deployment. Enterprise AI Solution Architecture / Application Delivery - Designing Scalable Enterprise AI / Machine Learning Architectures While Developing / Deploying Production AI Applications Using Python Across Palantir / MS AI Ecosystems Supporting Predictive Models / Generative AI / NLP / Intelligent Automation Enterprise AI Enablement / Business Partnership - Partnering with Finance / Operations / Sales / Marketing / IT Leaders to Identify High-Value AI Opportunities / Educate Business Stakeholders / Facilitate Solution Workshops / Drive Enterprise AI Adoption Enterprise AI Engineering / MLOps - Developing Predictive Models / LLM Applications Using RAG / Prompt Engineering / AI Agents / Copilots While Designing Production AI Pipelines Supporting CI/CD / Deployment / Monitoring / Drift Detection / Lifecycle Management MS AI Ecosystem / Platforms - Building Enterprise AI Solutions Across Azure AI Foundry / MS Fabric Ecosystems Supporting Enterprise AI Exploration / Production AI Delivery Enterprise AI Governance - Establishing Repeatable Engineering / Deployment / Governance Standards While Embedding Security / Explainability / Responsible AI Principles Throughout Solution Design/Production Delivery Enterprise AI Solution Consulting / Technical Leadership - Translating Ambiguous Business Problems into Enterprise AI Solutions While Presenting Technical Concepts to Executive Leadership, Mentoring Developers, Measuring ROI, and Expanding Organizational AI Capabilities About the Project: This project is focused on operationalizing the organization's investment in the Palantir AI Platform by building an enterprise AI capability that delivers measurable business value. The goal is to partner directly with business leaders to identify high-impact use cases, architect and deploy production-ready AI solutions, and establish the engineering, governance, and MLOps standards needed to scale AI across the enterprise. Rather than building isolated AI models or proof-of-concepts, you'll create a repeatable AI delivery framework that enables the organization to leverage AI securely, effectively, and across multiple business functions. JOB REQUIREMENTS Enterprise AI Software Development (7+ years) - Developing Production Enterprise Applications Using Python While Designing / Deploying AI / ML Solutions with PyTorch / TensorFlow / scikit-learn Palantir Exposure - Exposure to Palantir Foundry / AIP / Ontology or Similar Enterprise AI Platforms Ability to Learn Alongside Palantir Forward Deployed Engineers Enterprise LLM Development / MLOps - Designing RAG / Prompt Engineering / AI Agent / Copilot Solutions While Building Production AI Pipelines Supporting CI/CD / Deployment / Monitoring / Lifecycle Management Enterprise AI Cloud Platforms - Building Enterprise AI Solutions Across Azure AI Foundry / MS Fabric While Deploying Secure AI Workloads Across Azure / AWS / GCP Data Engineering Fundamentals - Understanding Data Ingestion / Transformation / Storage / Modeling Principles Supporting Production AI Solutions Business AI Consulting / Enablement - Identifying High-Value AI Opportunities / Educating Business Leaders / Explaining Complex AI Concepts / Driving Enterprise AI Adoption PREFERRED (not required) AI Governance - Implementing Enterprise AI Governance / Responsible AI Frameworks Supporting Secure / Compliant AI Solutions Enterprise AI Solutions - Supporting Analytics / Optimization / Decision Intelligence / AI Copilots / Intelligent Assistants / Enterprise Automation Initiatives Business Acumen / Enterprise Experience - Demonstrated Business / Financial Acumen Supporting AI Solutions Within Regulated / Operationally Complex / Enterprise-Scale Organizations Enterprise Environment Experience - Supporting Regulated / Operationally Complex / Enterprise-Scale Organizations Determining compensation for this role (and others) at Vaco/Highspring depends upon a wide array of factors including but not limited to the individual's skill sets, experience and training, licensure and certifications, office location and other geographic considerations, as well as other business and organizational needs. With that said, as required by local law in geographies that require salary range disclosure, Vaco/Highspring notes the salary range for the role is noted in this job posting. The individual may also be eligible for discretionary bonuses, and can participate in medical, dental, and vision benefits as well as the company's 401(k) retirement plan. Additional disclaimer: Unless otherwise noted in the job description, the position Vaco/Highspring is filing for is occupied. Please note, however, that Vaco/Highspring is regularly asked to provide talent to other organizations. By submitting to this position, you are agreeing to be included in our talent pool for future hiring for similarly qualified positions. Submissions to this position are subject to the use of AI to perform preliminary candidate screenings, focused on ensuring minimum job requirements noted in the position are satisfied. Further assessment of candidates beyond this initial phase within Vaco/Highspring will be otherwise assessed by recruiters and hiring managers. Vaco/Highspring does not have knowledge of the tools used by its clients in making final hiring decisions and cannot opine on their use of AI products. EEO Notice Vaco by Highspring is an Equal Opportunity Employer and does not discriminate against any employee or applicant for employment because of race (including but not limited to traits historically associated with race such as hair texture and hair style), color, sex (includes pregnancy or related conditions), religion or creed, national origin, citizenship, age, disability, status as a veteran, union membership, ethnicity, gender, gender identity, gender expression, sexual orientation, marital status, political affiliation, or any other protected characteristics as required by federal, state or local law. Vaco by Highspring and its parents, affiliates, and subsidiaries are committed to the full inclusion of all qualified individuals. As part of this commitment, Vaco by Highspring and its parents, affiliates, and subsidiaries will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact . Vaco by Highspring also wants all applicants to know their rights that workplace discrimination is illegal. Representation Notice By submitting to this position, you agree that you will be giving Vaco by Highspring the exclusive right to present your as a candidate for the foregoing employment opportunity. You further agree that you have represented information about yourself accurately and have not affirmatively misrepresented your qualifications. You also agree to maintain as confidential, to the fullest extent permitted by law, any information you learn from Vaco by Highspring about the position and you will limit disclosure of information about the position only to the extent necessary to perform any obligations in furtherance of your application. In exchange, Vaco by Highspring agrees to exercise reasonable efforts to represent you through all solicitation, job screening and resume dispersal. For residents of Ontario, Canada: Based on Highspring's discussions with its Client, Highspring's understanding is that this position for employment is a current vacancy (either through Highspring as a contractor or with the client directly). Privacy Notice Vaco by Highspring and its parents, affiliates, and subsidiaries ("we," "our," or "Vaco by Highspring") respects your privacy and are committed to providing transparent notice of our policies. California residents may access Vaco by Highspring HR Notice at Collection for California Applicants and Employees here. Virginia residents may access our state specific policies here. Residents of all other states may access our policies here. Canadian residents may access our policies in English here and in French here. Residents of countries governed by GDPR may access our policies here. Additionally, submissions to this position are subject to the use of AI to perform preliminary candidate screenings, focused on ensuring minimum job requirements noted in the position are satisfied. More details about Vaco by Highspring's use of AI can be found here () . click apply for full job details
09/24/2026
Full time
Senior AI Developer (Palantir AI Platform) DETAILS Location: Remote (strong preference to candidates local to Irving, TX 75039) Travel: If not local to the Irving, TX area, must be willing to travel in 1-2x per month, as needed Position Type: Direct-Hire Hourly / Salary: to $170K+ (based on experience level) JOB SUMMARY Vaco is currently seeking a Senior AI Developer (Palantir AI Platform) for a Direct-Hire opportunity that may be performed remotely with travel to Irving, TX approximately 1-2 times per month. The Senior AI Developer will own the complete lifecycle of enterprise AI initiatives. Rather than building isolated machine learning models, the Senior AI Developer will work directly with business leaders to identify valuable use cases, design technical architectures, develop production-grade AI applications, deploy them into cloud environments, and ensure they remain secure, scalable, monitored, and governed over time. The Senior AI Developer will operate at the intersection of AI Engineering, Software Development, Cloud Engineering, MLOps, Solution Architecture, and Business Consulting, requiring someone who is equally comfortable writing production Python code, designing LLM applications, facilitating whiteboard sessions with executives, and measuring business value after deployment. Enterprise AI Solution Architecture / Application Delivery - Designing Scalable Enterprise AI / Machine Learning Architectures While Developing / Deploying Production AI Applications Using Python Across Palantir / MS AI Ecosystems Supporting Predictive Models / Generative AI / NLP / Intelligent Automation Enterprise AI Enablement / Business Partnership - Partnering with Finance / Operations / Sales / Marketing / IT Leaders to Identify High-Value AI Opportunities / Educate Business Stakeholders / Facilitate Solution Workshops / Drive Enterprise AI Adoption Enterprise AI Engineering / MLOps - Developing Predictive Models / LLM Applications Using RAG / Prompt Engineering / AI Agents / Copilots While Designing Production AI Pipelines Supporting CI/CD / Deployment / Monitoring / Drift Detection / Lifecycle Management MS AI Ecosystem / Platforms - Building Enterprise AI Solutions Across Azure AI Foundry / MS Fabric Ecosystems Supporting Enterprise AI Exploration / Production AI Delivery Enterprise AI Governance - Establishing Repeatable Engineering / Deployment / Governance Standards While Embedding Security / Explainability / Responsible AI Principles Throughout Solution Design/Production Delivery Enterprise AI Solution Consulting / Technical Leadership - Translating Ambiguous Business Problems into Enterprise AI Solutions While Presenting Technical Concepts to Executive Leadership, Mentoring Developers, Measuring ROI, and Expanding Organizational AI Capabilities About the Project: This project is focused on operationalizing the organization's investment in the Palantir AI Platform by building an enterprise AI capability that delivers measurable business value. The goal is to partner directly with business leaders to identify high-impact use cases, architect and deploy production-ready AI solutions, and establish the engineering, governance, and MLOps standards needed to scale AI across the enterprise. Rather than building isolated AI models or proof-of-concepts, you'll create a repeatable AI delivery framework that enables the organization to leverage AI securely, effectively, and across multiple business functions. JOB REQUIREMENTS Enterprise AI Software Development (7+ years) - Developing Production Enterprise Applications Using Python While Designing / Deploying AI / ML Solutions with PyTorch / TensorFlow / scikit-learn Palantir Exposure - Exposure to Palantir Foundry / AIP / Ontology or Similar Enterprise AI Platforms Ability to Learn Alongside Palantir Forward Deployed Engineers Enterprise LLM Development / MLOps - Designing RAG / Prompt Engineering / AI Agent / Copilot Solutions While Building Production AI Pipelines Supporting CI/CD / Deployment / Monitoring / Lifecycle Management Enterprise AI Cloud Platforms - Building Enterprise AI Solutions Across Azure AI Foundry / MS Fabric While Deploying Secure AI Workloads Across Azure / AWS / GCP Data Engineering Fundamentals - Understanding Data Ingestion / Transformation / Storage / Modeling Principles Supporting Production AI Solutions Business AI Consulting / Enablement - Identifying High-Value AI Opportunities / Educating Business Leaders / Explaining Complex AI Concepts / Driving Enterprise AI Adoption PREFERRED (not required) AI Governance - Implementing Enterprise AI Governance / Responsible AI Frameworks Supporting Secure / Compliant AI Solutions Enterprise AI Solutions - Supporting Analytics / Optimization / Decision Intelligence / AI Copilots / Intelligent Assistants / Enterprise Automation Initiatives Business Acumen / Enterprise Experience - Demonstrated Business / Financial Acumen Supporting AI Solutions Within Regulated / Operationally Complex / Enterprise-Scale Organizations Enterprise Environment Experience - Supporting Regulated / Operationally Complex / Enterprise-Scale Organizations Determining compensation for this role (and others) at Vaco/Highspring depends upon a wide array of factors including but not limited to the individual's skill sets, experience and training, licensure and certifications, office location and other geographic considerations, as well as other business and organizational needs. With that said, as required by local law in geographies that require salary range disclosure, Vaco/Highspring notes the salary range for the role is noted in this job posting. The individual may also be eligible for discretionary bonuses, and can participate in medical, dental, and vision benefits as well as the company's 401(k) retirement plan. Additional disclaimer: Unless otherwise noted in the job description, the position Vaco/Highspring is filing for is occupied. Please note, however, that Vaco/Highspring is regularly asked to provide talent to other organizations. By submitting to this position, you are agreeing to be included in our talent pool for future hiring for similarly qualified positions. Submissions to this position are subject to the use of AI to perform preliminary candidate screenings, focused on ensuring minimum job requirements noted in the position are satisfied. Further assessment of candidates beyond this initial phase within Vaco/Highspring will be otherwise assessed by recruiters and hiring managers. Vaco/Highspring does not have knowledge of the tools used by its clients in making final hiring decisions and cannot opine on their use of AI products. EEO Notice Vaco by Highspring is an Equal Opportunity Employer and does not discriminate against any employee or applicant for employment because of race (including but not limited to traits historically associated with race such as hair texture and hair style), color, sex (includes pregnancy or related conditions), religion or creed, national origin, citizenship, age, disability, status as a veteran, union membership, ethnicity, gender, gender identity, gender expression, sexual orientation, marital status, political affiliation, or any other protected characteristics as required by federal, state or local law. Vaco by Highspring and its parents, affiliates, and subsidiaries are committed to the full inclusion of all qualified individuals. As part of this commitment, Vaco by Highspring and its parents, affiliates, and subsidiaries will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact . Vaco by Highspring also wants all applicants to know their rights that workplace discrimination is illegal. Representation Notice By submitting to this position, you agree that you will be giving Vaco by Highspring the exclusive right to present your as a candidate for the foregoing employment opportunity. You further agree that you have represented information about yourself accurately and have not affirmatively misrepresented your qualifications. You also agree to maintain as confidential, to the fullest extent permitted by law, any information you learn from Vaco by Highspring about the position and you will limit disclosure of information about the position only to the extent necessary to perform any obligations in furtherance of your application. In exchange, Vaco by Highspring agrees to exercise reasonable efforts to represent you through all solicitation, job screening and resume dispersal. For residents of Ontario, Canada: Based on Highspring's discussions with its Client, Highspring's understanding is that this position for employment is a current vacancy (either through Highspring as a contractor or with the client directly). Privacy Notice Vaco by Highspring and its parents, affiliates, and subsidiaries ("we," "our," or "Vaco by Highspring") respects your privacy and are committed to providing transparent notice of our policies. California residents may access Vaco by Highspring HR Notice at Collection for California Applicants and Employees here. Virginia residents may access our state specific policies here. Residents of all other states may access our policies here. Canadian residents may access our policies in English here and in French here. Residents of countries governed by GDPR may access our policies here. Additionally, submissions to this position are subject to the use of AI to perform preliminary candidate screenings, focused on ensuring minimum job requirements noted in the position are satisfied. More details about Vaco by Highspring's use of AI can be found here () . click apply for full job details
Job Description Job Description Build the Future of AI - Full-Time Job from Day One This is not just another software engineering job - it's a full-time career opportunity that combines immersive AI training, hands-on customer experience, and long-term career growth. As an AI Forward Deployed Engineer , you'll be hired as a full-time employee from day one. You'll begin with our AI Accelerator Program , where you'll develop the technical and consulting skills needed to build AI-powered enterprise solutions. After successfully completing the program, you'll be deployed to work directly with enterprise customers, helping them design, build, and implement real-world AI solutions while continuing to receive mentorship and professional development. What You'll Do Participate in our immersive AI Accelerator Program Learn modern AI technologies, LLMs, APIs, cloud platforms, and AI application development Build hands-on projects based on real business scenarios Develop customer-facing consulting and presentation skills Collaborate with engineers, mentors, and peers Design, build, and deploy AI-powered applications Work directly with enterprise customers to solve business challenges Continue growing through mentorship, training, and customer engagements What We're Looking For 1-3 years of experience in Software Engineering, Data Engineering, DevOps, Cybersecurity, Solutions Engineering, or a similar technical role Bachelor's degree in Computer Science, Engineering, IT, Data Science, or a related field Experience with Python or another programming language Basic exposure to SQL/data fundamentals and scripting (e.g., Bash) Familiarity with cloud platforms (AWS, Azure, or GCP) and GenAI tools and concepts Curiosity, strong problem-solving skills, and a passion for AI Strong communication and presentation skills Authorized to work in the U.S. without sponsorship Willingness to relocate What You'll Get Full-time, paid W-2 employment from day one Immersive AI Accelerator Program Mentorship from experienced AI engineers Enterprise customer deployment after training Medical, Dental, Vision, and 401(k) Continuous learning and career development Long-term career growth in one of the fastest-growing fields in technology Company Description nuKudo is a workforce development and technology solutions company focused on creating real career opportunities in the digital economy. We combine training, mentorship, and hands-on experience to help people and organizations grow together. Our philosophy is simple - invest in people, and results will follow. Company Description nuKudo is a workforce development and technology solutions company focused on creating real career opportunities in the digital economy. We combine training, mentorship, and hands-on experience to help people and organizations grow together. Our philosophy is simple - invest in people, and results will follow.
09/24/2026
Full time
Job Description Job Description Build the Future of AI - Full-Time Job from Day One This is not just another software engineering job - it's a full-time career opportunity that combines immersive AI training, hands-on customer experience, and long-term career growth. As an AI Forward Deployed Engineer , you'll be hired as a full-time employee from day one. You'll begin with our AI Accelerator Program , where you'll develop the technical and consulting skills needed to build AI-powered enterprise solutions. After successfully completing the program, you'll be deployed to work directly with enterprise customers, helping them design, build, and implement real-world AI solutions while continuing to receive mentorship and professional development. What You'll Do Participate in our immersive AI Accelerator Program Learn modern AI technologies, LLMs, APIs, cloud platforms, and AI application development Build hands-on projects based on real business scenarios Develop customer-facing consulting and presentation skills Collaborate with engineers, mentors, and peers Design, build, and deploy AI-powered applications Work directly with enterprise customers to solve business challenges Continue growing through mentorship, training, and customer engagements What We're Looking For 1-3 years of experience in Software Engineering, Data Engineering, DevOps, Cybersecurity, Solutions Engineering, or a similar technical role Bachelor's degree in Computer Science, Engineering, IT, Data Science, or a related field Experience with Python or another programming language Basic exposure to SQL/data fundamentals and scripting (e.g., Bash) Familiarity with cloud platforms (AWS, Azure, or GCP) and GenAI tools and concepts Curiosity, strong problem-solving skills, and a passion for AI Strong communication and presentation skills Authorized to work in the U.S. without sponsorship Willingness to relocate What You'll Get Full-time, paid W-2 employment from day one Immersive AI Accelerator Program Mentorship from experienced AI engineers Enterprise customer deployment after training Medical, Dental, Vision, and 401(k) Continuous learning and career development Long-term career growth in one of the fastest-growing fields in technology Company Description nuKudo is a workforce development and technology solutions company focused on creating real career opportunities in the digital economy. We combine training, mentorship, and hands-on experience to help people and organizations grow together. Our philosophy is simple - invest in people, and results will follow. Company Description nuKudo is a workforce development and technology solutions company focused on creating real career opportunities in the digital economy. We combine training, mentorship, and hands-on experience to help people and organizations grow together. Our philosophy is simple - invest in people, and results will follow.
Job Description Job Description This is more than a senior engineering role - it's an opportunity to help enterprise organizations adopt AI to solve meaningful business problems. As a Senior AI Forward Deployed Engineer , you'll join Nukudo as a full-time employee and begin with our AI Accelerator Program , where you'll become familiar with our AI platform, delivery methodology, and customer engagement approach. Following the program, you'll lead customer implementations, architect AI-powered solutions, and work directly with technical and business stakeholders to deliver measurable business value. What You'll Do Participate in our immersive AI Accelerator Program Design and deploy enterprise AI solutions Build production-ready AI applications and workflows Lead technical discussions with enterprise customers Translate business challenges into scalable AI solutions Collaborate with engineering, product, and customer teams Mentor junior engineers Stay current with the latest AI technologies and best practices What We're Looking For 4-6 years of experience in Software Engineering, Solutions Engineering, Data Engineering, DevOps, Cloud Engineering, Cybersecurity, or Technical Consulting Bachelor's degree in Computer Science, Engineering, IT, Data Science, or a related field; Master's degree a plus Strong experience with Python, APIs, cloud platforms, and software architecture Strong SQL / data fundamentals and scripting experience Working knowledge of GenAI tools and concepts, and how they apply to enterprise use cases Experience delivering customer-facing technical solutions Strong communication and presentation skills Authorized to work in the U.S. without sponsorship Willingness to relocate What You'll Get Full-time, paid W-2 employment from day one Immersive AI Accelerator Program Opportunity to lead enterprise AI implementations Direct engagement with enterprise customers Medical, Dental, Vision, and 401(k) Continuous technical and professional development Clear opportunities to grow into technical and consulting leadership roles Company Description nuKudo is a workforce development and technology solutions company focused on creating real career opportunities in the digital economy. We combine training, mentorship, and hands-on experience to help people and organizations grow together. Our philosophy is simple - invest in people, and results will follow. Company Description nuKudo is a workforce development and technology solutions company focused on creating real career opportunities in the digital economy. We combine training, mentorship, and hands-on experience to help people and organizations grow together. Our philosophy is simple - invest in people, and results will follow.
09/24/2026
Full time
Job Description Job Description This is more than a senior engineering role - it's an opportunity to help enterprise organizations adopt AI to solve meaningful business problems. As a Senior AI Forward Deployed Engineer , you'll join Nukudo as a full-time employee and begin with our AI Accelerator Program , where you'll become familiar with our AI platform, delivery methodology, and customer engagement approach. Following the program, you'll lead customer implementations, architect AI-powered solutions, and work directly with technical and business stakeholders to deliver measurable business value. What You'll Do Participate in our immersive AI Accelerator Program Design and deploy enterprise AI solutions Build production-ready AI applications and workflows Lead technical discussions with enterprise customers Translate business challenges into scalable AI solutions Collaborate with engineering, product, and customer teams Mentor junior engineers Stay current with the latest AI technologies and best practices What We're Looking For 4-6 years of experience in Software Engineering, Solutions Engineering, Data Engineering, DevOps, Cloud Engineering, Cybersecurity, or Technical Consulting Bachelor's degree in Computer Science, Engineering, IT, Data Science, or a related field; Master's degree a plus Strong experience with Python, APIs, cloud platforms, and software architecture Strong SQL / data fundamentals and scripting experience Working knowledge of GenAI tools and concepts, and how they apply to enterprise use cases Experience delivering customer-facing technical solutions Strong communication and presentation skills Authorized to work in the U.S. without sponsorship Willingness to relocate What You'll Get Full-time, paid W-2 employment from day one Immersive AI Accelerator Program Opportunity to lead enterprise AI implementations Direct engagement with enterprise customers Medical, Dental, Vision, and 401(k) Continuous technical and professional development Clear opportunities to grow into technical and consulting leadership roles Company Description nuKudo is a workforce development and technology solutions company focused on creating real career opportunities in the digital economy. We combine training, mentorship, and hands-on experience to help people and organizations grow together. Our philosophy is simple - invest in people, and results will follow. Company Description nuKudo is a workforce development and technology solutions company focused on creating real career opportunities in the digital economy. We combine training, mentorship, and hands-on experience to help people and organizations grow together. Our philosophy is simple - invest in people, and results will follow.
Are you ready to unlock intelligence? If you don't think you meet all of the criteria below but are still interested in the job, please apply. Nobody checks every box - we're looking for candidates that are particularly strong in a few areas, and have some interest and capabilities in others. About the Role: We are seeking a Forward Deployed Engineer (FDE) to join Kong's growing Professional Services organization. This is a highly strategic, customer-facing engineering role focused on helping enterprise customers accelerate adoption of Kong's API and AI Connectivity platform through hands-on implementation, automation, migration tooling, and solution engineering. As an FDE, you will work directly alongside customer engineering teams to solve complex technical challenges, accelerate migrations, build reusable automation, and deliver production-grade solutions in real-world enterprise environments. You will operate at the intersection of software engineering, architecture, platform engineering, and customer delivery. This role is ideal for engineers who enjoy building, coding, solving ambiguous problems, and working directly with customers on mission-critical initiatives involving APIs, AI gateways, service connectivity, modernization, and cloud-native platforms. You will collaborate closely with Solutions Architects, Engagement Managers, Product Engineering, Customer Success, and Product teams to ensure successful customer outcomes while also influencing Kong's product direction based on field experience. Working at Kong is a unique opportunity to make a massive impact on Fortune 50/500 customers as they modernize mission-critical systems for the AI era. What's in it for you? Impact Work directly with some of the world's largest enterprises to modernize API infrastructure and accelerate AI adoption through Kong's connectivity platform. Growth Accelerate your technical and professional growth through exposure to cutting-edge cloud-native technologies, distributed systems, AI connectivity, automation frameworks, and large-scale enterprise architectures. Opportunity Be part of a rapidly growing Professional Services organization that is shaping how enterprises adopt APIs, AI gateways, and modern connectivity platforms globally. What You'll Do: Partner directly with enterprise customers to design, build, and implement Kong-based solutions across cloud, hybrid, and on-premise environments. Lead hands-on implementation efforts for API gateways, AI gateways, service mesh, developer portals, and related connectivity technologies. Build automation frameworks, migration tooling, custom integrations, and reusable accelerators to simplify customer adoption and modernization efforts. Drive migration initiatives from legacy API management platforms to Kong. Work closely with customer developers, platform teams, architects, security teams, and executives to solve complex technical and operational challenges. Develop production-grade code, scripts, plugins, CI/CD integrations, Kubernetes automation, and infrastructure tooling as part of customer engagements. Collaborate with Kong Product and Engineering teams to influence roadmap priorities based on real-world customer feedback and implementation learnings. Create reusable best practices, technical assets, reference architectures, documentation, and design patterns to scale delivery excellence across the organization. Support strategic customer initiatives involving AI connectivity, governance, platform modernization, and cloud-native transformation. What You'll Bring: Experience 8+ years in customer-facing engineering, platform engineering, professional services, site reliability engineering, or software engineering roles. Strong hands-on software engineering and implementation experience. Experience with API gateways, API management, integrations, or distributed systems platforms. Strong Kubernetes and cloud-native infrastructure expertise. Experience building automation frameworks, deployment tooling, CI/CD pipelines, or migration tooling. Strong proficiency in Linux, networking, cloud infrastructure, and DevOps practices. Experience with major cloud providers including AWS, Azure, or GCP. Programming experience in languages such as Python, Go, Java, JavaScript, or Lua. Experience with Infrastructure-as-Code and automation tooling such as Terraform, Helm, Ansible, or GitOps frameworks. Prior experience working in API Management, Open Source, Middleware, SaaS, or Infrastructure software companies is highly preferred. Preferred Attributes: Strong builder mindset with the ability to solve complex technical problems with minimal supervision. Comfortable operating in ambiguous, fast-moving enterprise environments. Passion for working directly with customers and delivering measurable business outcomes. Excellent communication and collaboration skills across technical and executive audiences. Highly organized with strong prioritization and execution skills. Passion for innovation, modern infrastructure, APIs, AI, and cloud-native technologies. Team-oriented with a strong sense of ownership and accountability. About Kong: Kong Inc., the AI Connectivity Company, is building the connectivity layer of AI. Trusted by the Fortune 500 and AI-native startups alike, Kong's unified API and AI platform enables organizations to secure, manage, accelerate, govern, and monetize the flow of intelligence across APIs and AI traffic - on any model, any cloud. For more information, visit .
09/24/2026
Full time
Are you ready to unlock intelligence? If you don't think you meet all of the criteria below but are still interested in the job, please apply. Nobody checks every box - we're looking for candidates that are particularly strong in a few areas, and have some interest and capabilities in others. About the Role: We are seeking a Forward Deployed Engineer (FDE) to join Kong's growing Professional Services organization. This is a highly strategic, customer-facing engineering role focused on helping enterprise customers accelerate adoption of Kong's API and AI Connectivity platform through hands-on implementation, automation, migration tooling, and solution engineering. As an FDE, you will work directly alongside customer engineering teams to solve complex technical challenges, accelerate migrations, build reusable automation, and deliver production-grade solutions in real-world enterprise environments. You will operate at the intersection of software engineering, architecture, platform engineering, and customer delivery. This role is ideal for engineers who enjoy building, coding, solving ambiguous problems, and working directly with customers on mission-critical initiatives involving APIs, AI gateways, service connectivity, modernization, and cloud-native platforms. You will collaborate closely with Solutions Architects, Engagement Managers, Product Engineering, Customer Success, and Product teams to ensure successful customer outcomes while also influencing Kong's product direction based on field experience. Working at Kong is a unique opportunity to make a massive impact on Fortune 50/500 customers as they modernize mission-critical systems for the AI era. What's in it for you? Impact Work directly with some of the world's largest enterprises to modernize API infrastructure and accelerate AI adoption through Kong's connectivity platform. Growth Accelerate your technical and professional growth through exposure to cutting-edge cloud-native technologies, distributed systems, AI connectivity, automation frameworks, and large-scale enterprise architectures. Opportunity Be part of a rapidly growing Professional Services organization that is shaping how enterprises adopt APIs, AI gateways, and modern connectivity platforms globally. What You'll Do: Partner directly with enterprise customers to design, build, and implement Kong-based solutions across cloud, hybrid, and on-premise environments. Lead hands-on implementation efforts for API gateways, AI gateways, service mesh, developer portals, and related connectivity technologies. Build automation frameworks, migration tooling, custom integrations, and reusable accelerators to simplify customer adoption and modernization efforts. Drive migration initiatives from legacy API management platforms to Kong. Work closely with customer developers, platform teams, architects, security teams, and executives to solve complex technical and operational challenges. Develop production-grade code, scripts, plugins, CI/CD integrations, Kubernetes automation, and infrastructure tooling as part of customer engagements. Collaborate with Kong Product and Engineering teams to influence roadmap priorities based on real-world customer feedback and implementation learnings. Create reusable best practices, technical assets, reference architectures, documentation, and design patterns to scale delivery excellence across the organization. Support strategic customer initiatives involving AI connectivity, governance, platform modernization, and cloud-native transformation. What You'll Bring: Experience 8+ years in customer-facing engineering, platform engineering, professional services, site reliability engineering, or software engineering roles. Strong hands-on software engineering and implementation experience. Experience with API gateways, API management, integrations, or distributed systems platforms. Strong Kubernetes and cloud-native infrastructure expertise. Experience building automation frameworks, deployment tooling, CI/CD pipelines, or migration tooling. Strong proficiency in Linux, networking, cloud infrastructure, and DevOps practices. Experience with major cloud providers including AWS, Azure, or GCP. Programming experience in languages such as Python, Go, Java, JavaScript, or Lua. Experience with Infrastructure-as-Code and automation tooling such as Terraform, Helm, Ansible, or GitOps frameworks. Prior experience working in API Management, Open Source, Middleware, SaaS, or Infrastructure software companies is highly preferred. Preferred Attributes: Strong builder mindset with the ability to solve complex technical problems with minimal supervision. Comfortable operating in ambiguous, fast-moving enterprise environments. Passion for working directly with customers and delivering measurable business outcomes. Excellent communication and collaboration skills across technical and executive audiences. Highly organized with strong prioritization and execution skills. Passion for innovation, modern infrastructure, APIs, AI, and cloud-native technologies. Team-oriented with a strong sense of ownership and accountability. About Kong: Kong Inc., the AI Connectivity Company, is building the connectivity layer of AI. Trusted by the Fortune 500 and AI-native startups alike, Kong's unified API and AI platform enables organizations to secure, manage, accelerate, govern, and monetize the flow of intelligence across APIs and AI traffic - on any model, any cloud. For more information, visit .
About the team OpenAI's Forward Deployed Engineering team partners with customers to turn research breakthroughs into production systems. We operate at the intersection of customer delivery and core platform development. About the Role As a Deployment Lead Life Sciences, you will define how OpenAI delivers complex systems to customers. You will own how they are built, shipped, and adopted. You'll translate business outcomes into a technical plan, run day-to-day execution across FDEs, Researchers, and Customer Engineers, and partner with customer teams to ensure delivery supports their goals. You will focus on the Life Sciences vertical, partnering with pharmaceutical companies, clinical research organizations, and other data and services providers to deploy next-generation AI capabilities across their drug discovery, development, and operations. You will own delivery end-to-end: embedding with Life Sciences customers to map workflows and success criteria, ensuring components ship on time, and leading readiness and change management for adoption. You'll track progress, manage dependencies, make sequencing decisions, and drive 0 1 prototypes through MVP and scale. You will also share field insights with Product and Research to guide roadmap and priorities. Success will be measured first and foremost by impact - deployments that deliver measurable value against customer goals, drive adoption, and become critical to their workflows. Additional measures of success include delivery reliability (milestones hit, low reopen/churn), operating leverage (patterns reused across deployments), judgment under pressure, and product impact (field signal that shifts roadmaps/architectures). This is a high-trust, high-autonomy role. Success requires deep technical project management expertise, extreme ownership of outcomes, and an ability to immerse in customer workflows and partner with customer teams to solve complex engineering problems at pace. This role is based in New York. We use a hybrid work model of 3 days in the office per week. We offer relocation assistance. Travel up to 50% is required. In this role, you will: Own the technical delivery plan for multiple interdependent workstreams. Translate business objectives into a roadmap with milestones, dependencies, and acceptance criteria. Run day-to-day engineering execution. Track and drive delivery across OpenAI FDE and customer teams. Keep progress unblocked and sequenced. Make real-time trade-offs on scope and priority to protect the critical path. Embed with customer teams to land production deployments and drive adoption. Map workflows, shape tools/integrations, and translate requirements into a delivery plan. Lead onboarding, adoption, and change management. Partner with Product and Research so platform components and research workstreams land in time to support deployment goals. Codify solution patterns and evals. Extract reusable patterns and package field signals to improve product and models. Own value cases and ROI. Set impact hypotheses, baselines, and KPIs; run pre-/post-deployment measurement and report to exec sponsors. Shape how we engage Life Sciences customers You'll thrive in this role if you: Bring 7+ years of customer facing technical delivery leadership and have expertise in the Life Sciences space. Track record of successfully leading large, complex, high-stakes customer engagements where customer outcomes depended on tight coordination and fast decision making, ideally involving AI. Excel in high ambiguity environments. Know how to simplify complex and dynamic work. Move fluidly between system level understanding and execution level detail; can dive into customer workflows/data, map constraints, sketch architectures and move ambiguous problems to shipped systems. Think strategically and pattern-match. Able to step back from execution detail, recognise broader trends across deployments, and connect customer needs to scalable, reusable solutions. Have strong technical fluency and sharp sequencing instincts. Confident discussing technical details, pressure-testing architectures, and making trade-offs. Have shipped AI/LLM systems. You understand solution patterns, integration basics, and production pitfalls. You're a translator with executive presence. You make complex technical trade-offs legible to business leaders and convert strategy into day-to-day technical execution. Enjoy being onsite with customers to accelerate delivery (often 25-50%, sometimes higher). About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI's Affirmative Action and Equal Employment Opportunity Policy Statement. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link. OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
09/24/2026
Full time
About the team OpenAI's Forward Deployed Engineering team partners with customers to turn research breakthroughs into production systems. We operate at the intersection of customer delivery and core platform development. About the Role As a Deployment Lead Life Sciences, you will define how OpenAI delivers complex systems to customers. You will own how they are built, shipped, and adopted. You'll translate business outcomes into a technical plan, run day-to-day execution across FDEs, Researchers, and Customer Engineers, and partner with customer teams to ensure delivery supports their goals. You will focus on the Life Sciences vertical, partnering with pharmaceutical companies, clinical research organizations, and other data and services providers to deploy next-generation AI capabilities across their drug discovery, development, and operations. You will own delivery end-to-end: embedding with Life Sciences customers to map workflows and success criteria, ensuring components ship on time, and leading readiness and change management for adoption. You'll track progress, manage dependencies, make sequencing decisions, and drive 0 1 prototypes through MVP and scale. You will also share field insights with Product and Research to guide roadmap and priorities. Success will be measured first and foremost by impact - deployments that deliver measurable value against customer goals, drive adoption, and become critical to their workflows. Additional measures of success include delivery reliability (milestones hit, low reopen/churn), operating leverage (patterns reused across deployments), judgment under pressure, and product impact (field signal that shifts roadmaps/architectures). This is a high-trust, high-autonomy role. Success requires deep technical project management expertise, extreme ownership of outcomes, and an ability to immerse in customer workflows and partner with customer teams to solve complex engineering problems at pace. This role is based in New York. We use a hybrid work model of 3 days in the office per week. We offer relocation assistance. Travel up to 50% is required. In this role, you will: Own the technical delivery plan for multiple interdependent workstreams. Translate business objectives into a roadmap with milestones, dependencies, and acceptance criteria. Run day-to-day engineering execution. Track and drive delivery across OpenAI FDE and customer teams. Keep progress unblocked and sequenced. Make real-time trade-offs on scope and priority to protect the critical path. Embed with customer teams to land production deployments and drive adoption. Map workflows, shape tools/integrations, and translate requirements into a delivery plan. Lead onboarding, adoption, and change management. Partner with Product and Research so platform components and research workstreams land in time to support deployment goals. Codify solution patterns and evals. Extract reusable patterns and package field signals to improve product and models. Own value cases and ROI. Set impact hypotheses, baselines, and KPIs; run pre-/post-deployment measurement and report to exec sponsors. Shape how we engage Life Sciences customers You'll thrive in this role if you: Bring 7+ years of customer facing technical delivery leadership and have expertise in the Life Sciences space. Track record of successfully leading large, complex, high-stakes customer engagements where customer outcomes depended on tight coordination and fast decision making, ideally involving AI. Excel in high ambiguity environments. Know how to simplify complex and dynamic work. Move fluidly between system level understanding and execution level detail; can dive into customer workflows/data, map constraints, sketch architectures and move ambiguous problems to shipped systems. Think strategically and pattern-match. Able to step back from execution detail, recognise broader trends across deployments, and connect customer needs to scalable, reusable solutions. Have strong technical fluency and sharp sequencing instincts. Confident discussing technical details, pressure-testing architectures, and making trade-offs. Have shipped AI/LLM systems. You understand solution patterns, integration basics, and production pitfalls. You're a translator with executive presence. You make complex technical trade-offs legible to business leaders and convert strategy into day-to-day technical execution. Enjoy being onsite with customers to accelerate delivery (often 25-50%, sometimes higher). About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI's Affirmative Action and Equal Employment Opportunity Policy Statement. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link. OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
About Invisible Invisible Technologies makes AI work. Our end-to-end AI platform structures messy data, automates digital workflows, deploys agentic solutions, measures outcomes, and integrates human expertise where it matters most. Our platform cleans, labels, and structures company data so it is ready for AI. It adapts models to each business and adds human expertise when needed, the same approach we have used to improve models for more than 80% of the world's top AI companies, including Microsoft, AWS, and Cohere. Our successes span industries, from supply chain automation for Swiss Gear to AI-enabled naval simulations with SAIC, and validating NBA draft picks for the Charlotte Hornets. Profitable for more than half a decade, Invisible reached $134M in revenue and ranked as the number two fastest growing AI company on the 2024 Inc. 5000. In September 2025, we raised $100M in growth capital to accelerate our mission of making AI actually work in the enterprise and to advance our platform technology. About The Role As a Principal Forward Deployed Engineer (FDE) at Invisible, you'll lead high-impact, AI-powered solutions that reshape how our clients operate their most critical workflows. You won't just build and deploy - you'll drive the strategy, architecture, and execution of end-to-end systems, working directly with clients. This is a hybrid role: equal parts AI engineer, software builder, and technical consultant. It's perfect for someone who wants to be hands-on with models and close to the impact they generate. The team is increasingly focused on applied AI work - building and deploying LLM-powered and agentic systems in production - so strong ML engineering instincts can be a valuable addition alongside your architecture and leadership experience. What You'll Do Partner with delivery and executive stakeholders to scope, design, and lead implementation of AI-driven solutions, including LLM and agentic systems Identify transformational opportunities in messy, ambiguous workflows and turn them into repeatable systems Lead architecture design and trade-off discussions across performance, scalability, cost, and reliability - including for ML/AI-specific systems like RAG pipelines and production-grade AI applications Own projects from first discovery call through full deployment - including client-facing delivery, internal coordination, and post-launch iteration Build shared infrastructure, reusable components, and internal playbooks to level-up the team, including MLOps practices for model versioning, monitoring, and lifecycle management Coach and mentor mid-level engineers and help shape the culture of forward-deployed AI engineering at Invisible What We Need 10+ years of software engineering experience, including significant time spent building data, ML, or backend systems Python & ML/LLM Frameworks: Deep proficiency in Python with hands-on experience using Hugging Face, LangChain, OpenAI, Pinecone, and related ecosystems, including LLMs and AI Agents Deployment & Infrastructure: Skilled in full-stack and API-based deployment patterns, including Docker, FastAPI, Kubernetes, and cloud environments (GCP, AWS, Azure) Platform Orchestration: Experienced with workflow orchestration libraries, pub/sub systems (Kafka), and schema governance Data Management: Expertise in data governance and operations, including Unity Catalog and policy management, cluster/job orchestration, data contracts and quality enforcement, Delta/ETL pipelines, and replay processes ML Operations (for teams with an applied AI/ML focus): Experience with MLOps frameworks and best practices - model versioning, monitoring, and lifecycle management - and designing scalable ML systems such as RAG pipelines Strong product and system design instincts - you understand business needs and how to translate them into technical architecture Experience building usable systems from messy data and ambiguous requirements Excellent communication and client-facing skills; you've led conversations with technical and non-technical stakeholders alike Proven experience owning projects from scoping through deployment in ambiguous, high-stakes environments Strong engineering background demonstrated by a Bachelor's degree in Data Science, Computer Science and related fields OR equivalent professional experience Be willing to be on-call for our customers when situations arise Travel: Willingness to travel for on-site client engagements as needed Onsite: Available to work from the office a few days per week, depending on team needs - some NYC-based teams require 3 days per week onsite; your specific requirement will depend on the team you're placed with What's In It For You Invisible is committed to fair and competitive pay, ensuring that compensation reflects both market conditions and the value each team member brings. Our salary structure accounts for regional differences in cost of living while maintaining internal equity. The annual salary range for this position, depending on level, is: $250,000 - $300,000 USD You can find more information about our geographic pay tiers here. During the interview process, your Invisible Talent Acquisition Partner will confirm which tier applies to your location. For candidates outside the U.S., compensation is adjusted to reflect local market conditions and cost of living. Bonuses and equity are included in all full-time offers. Final compensation is determined by a combination of factors, including location, job-related experience, skills, knowledge, internal pay equity, and overall market conditions. Because of this, every offer is unique. Additional details on total compensation and benefits will be discussed during the hiring process. What It's Like to Work at Invisible: At Invisible, we're not just redefining work-we're reinventing it. We operate at the intersection of advanced AI and human ingenuity, pushing the boundaries of what's possible to unlock productivity and scale. Ownership is at the core of everything we do. Here, you won't just execute tasks-you'll build, innovate, and shape the future alongside world-class clients pushing the boundaries of AI. We expect bold ideas, relentless drive, and the ability to turn ambiguity into opportunity. The pace is fast, the challenges are big, and the growth is unmatched. We're not for everyone, and we're okay with that. If you're looking for predictable routines, this isn't the place for you. But if you're driven to create, thrive in dynamic environments, and want a front-row seat to the AI revolution, you'll fit right in. Country Hiring Guidelines: Invisible is a hybrid organization with offices and team members located around the world. While some roles may offer remote flexibility, most positions involve in-office collaboration and are tied to specific locations. Any location-based requirements or hybrid expectations will be communicated by our Talent Acquisition team during the recruiting process. AI Interviewing Guidelines: Our hiring team thoughtfully uses AI to support an efficient, engaging, and inclusive interview process. Since AI can also be a helpful tool for candidates, we've outlined expectations for using it ethically throughout your interview journey. Click here to learn more about how we use AI and our guidelines for candidates. Accessibility Statement: We are committed to providing reasonable accommodations for individuals with disabilities. If you require an accommodation to participate in the application or interview process, please submit your request using our accommodation request form. A member of our team will follow up to support your request. Here is the link the google form: Equal Opportunity Statement: We're an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, or veteran status, or any other basis protected by law. Due to a high volume of candidates, Invisible may use automated decision-maker technologies to filter candidates based on response to our application questions and other provided information. Our use of automated decision-making enables us to be efficient by providing a manageable list of possible candidates that meet our mandatory hiring criteria. If you object to our use of automated decision-making please contact us.
09/24/2026
Full time
About Invisible Invisible Technologies makes AI work. Our end-to-end AI platform structures messy data, automates digital workflows, deploys agentic solutions, measures outcomes, and integrates human expertise where it matters most. Our platform cleans, labels, and structures company data so it is ready for AI. It adapts models to each business and adds human expertise when needed, the same approach we have used to improve models for more than 80% of the world's top AI companies, including Microsoft, AWS, and Cohere. Our successes span industries, from supply chain automation for Swiss Gear to AI-enabled naval simulations with SAIC, and validating NBA draft picks for the Charlotte Hornets. Profitable for more than half a decade, Invisible reached $134M in revenue and ranked as the number two fastest growing AI company on the 2024 Inc. 5000. In September 2025, we raised $100M in growth capital to accelerate our mission of making AI actually work in the enterprise and to advance our platform technology. About The Role As a Principal Forward Deployed Engineer (FDE) at Invisible, you'll lead high-impact, AI-powered solutions that reshape how our clients operate their most critical workflows. You won't just build and deploy - you'll drive the strategy, architecture, and execution of end-to-end systems, working directly with clients. This is a hybrid role: equal parts AI engineer, software builder, and technical consultant. It's perfect for someone who wants to be hands-on with models and close to the impact they generate. The team is increasingly focused on applied AI work - building and deploying LLM-powered and agentic systems in production - so strong ML engineering instincts can be a valuable addition alongside your architecture and leadership experience. What You'll Do Partner with delivery and executive stakeholders to scope, design, and lead implementation of AI-driven solutions, including LLM and agentic systems Identify transformational opportunities in messy, ambiguous workflows and turn them into repeatable systems Lead architecture design and trade-off discussions across performance, scalability, cost, and reliability - including for ML/AI-specific systems like RAG pipelines and production-grade AI applications Own projects from first discovery call through full deployment - including client-facing delivery, internal coordination, and post-launch iteration Build shared infrastructure, reusable components, and internal playbooks to level-up the team, including MLOps practices for model versioning, monitoring, and lifecycle management Coach and mentor mid-level engineers and help shape the culture of forward-deployed AI engineering at Invisible What We Need 10+ years of software engineering experience, including significant time spent building data, ML, or backend systems Python & ML/LLM Frameworks: Deep proficiency in Python with hands-on experience using Hugging Face, LangChain, OpenAI, Pinecone, and related ecosystems, including LLMs and AI Agents Deployment & Infrastructure: Skilled in full-stack and API-based deployment patterns, including Docker, FastAPI, Kubernetes, and cloud environments (GCP, AWS, Azure) Platform Orchestration: Experienced with workflow orchestration libraries, pub/sub systems (Kafka), and schema governance Data Management: Expertise in data governance and operations, including Unity Catalog and policy management, cluster/job orchestration, data contracts and quality enforcement, Delta/ETL pipelines, and replay processes ML Operations (for teams with an applied AI/ML focus): Experience with MLOps frameworks and best practices - model versioning, monitoring, and lifecycle management - and designing scalable ML systems such as RAG pipelines Strong product and system design instincts - you understand business needs and how to translate them into technical architecture Experience building usable systems from messy data and ambiguous requirements Excellent communication and client-facing skills; you've led conversations with technical and non-technical stakeholders alike Proven experience owning projects from scoping through deployment in ambiguous, high-stakes environments Strong engineering background demonstrated by a Bachelor's degree in Data Science, Computer Science and related fields OR equivalent professional experience Be willing to be on-call for our customers when situations arise Travel: Willingness to travel for on-site client engagements as needed Onsite: Available to work from the office a few days per week, depending on team needs - some NYC-based teams require 3 days per week onsite; your specific requirement will depend on the team you're placed with What's In It For You Invisible is committed to fair and competitive pay, ensuring that compensation reflects both market conditions and the value each team member brings. Our salary structure accounts for regional differences in cost of living while maintaining internal equity. The annual salary range for this position, depending on level, is: $250,000 - $300,000 USD You can find more information about our geographic pay tiers here. During the interview process, your Invisible Talent Acquisition Partner will confirm which tier applies to your location. For candidates outside the U.S., compensation is adjusted to reflect local market conditions and cost of living. Bonuses and equity are included in all full-time offers. Final compensation is determined by a combination of factors, including location, job-related experience, skills, knowledge, internal pay equity, and overall market conditions. Because of this, every offer is unique. Additional details on total compensation and benefits will be discussed during the hiring process. What It's Like to Work at Invisible: At Invisible, we're not just redefining work-we're reinventing it. We operate at the intersection of advanced AI and human ingenuity, pushing the boundaries of what's possible to unlock productivity and scale. Ownership is at the core of everything we do. Here, you won't just execute tasks-you'll build, innovate, and shape the future alongside world-class clients pushing the boundaries of AI. We expect bold ideas, relentless drive, and the ability to turn ambiguity into opportunity. The pace is fast, the challenges are big, and the growth is unmatched. We're not for everyone, and we're okay with that. If you're looking for predictable routines, this isn't the place for you. But if you're driven to create, thrive in dynamic environments, and want a front-row seat to the AI revolution, you'll fit right in. Country Hiring Guidelines: Invisible is a hybrid organization with offices and team members located around the world. While some roles may offer remote flexibility, most positions involve in-office collaboration and are tied to specific locations. Any location-based requirements or hybrid expectations will be communicated by our Talent Acquisition team during the recruiting process. AI Interviewing Guidelines: Our hiring team thoughtfully uses AI to support an efficient, engaging, and inclusive interview process. Since AI can also be a helpful tool for candidates, we've outlined expectations for using it ethically throughout your interview journey. Click here to learn more about how we use AI and our guidelines for candidates. Accessibility Statement: We are committed to providing reasonable accommodations for individuals with disabilities. If you require an accommodation to participate in the application or interview process, please submit your request using our accommodation request form. A member of our team will follow up to support your request. Here is the link the google form: Equal Opportunity Statement: We're an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, or veteran status, or any other basis protected by law. Due to a high volume of candidates, Invisible may use automated decision-maker technologies to filter candidates based on response to our application questions and other provided information. Our use of automated decision-making enables us to be efficient by providing a manageable list of possible candidates that meet our mandatory hiring criteria. If you object to our use of automated decision-making please contact us.
About Invisible Invisible Technologies makes AI work. Our end-to-end AI platform structures messy data, automates digital workflows, deploys agentic solutions, measures outcomes, and integrates human expertise where it matters most. Our platform cleans, labels, and structures company data so it is ready for AI. It adapts models to each business and adds human expertise when needed, the same approach we have used to improve models for more than 80% of the world's top AI companies, including Microsoft, AWS, and Cohere. Our successes span industries, from supply chain automation for Swiss Gear to AI-enabled naval simulations with SAIC, and validating NBA draft picks for the Charlotte Hornets. Profitable for more than half a decade, Invisible reached $134M in revenue and ranked as the number two fastest growing AI company on the 2024 Inc. 5000. In September 2025, we raised $100M in growth capital to accelerate our mission of making AI actually work in the enterprise and to advance our platform technology. About The Role As a Principal Forward Deployed Engineer (FDE) at Invisible, you'll lead high-impact, AI-powered solutions that reshape how our clients operate their most critical workflows. You won't just build and deploy - you'll drive the strategy, architecture, and execution of end-to-end systems, working directly with clients. This is a hybrid role: equal parts AI engineer, software builder, and technical consultant. It's perfect for someone who wants to be hands-on with models and close to the impact they generate. The team is increasingly focused on applied AI work - building and deploying LLM-powered and agentic systems in production - so strong ML engineering instincts can be a valuable addition alongside your architecture and leadership experience. What You'll Do Partner with delivery and executive stakeholders to scope, design, and lead implementation of AI-driven solutions, including LLM and agentic systems Identify transformational opportunities in messy, ambiguous workflows and turn them into repeatable systems Lead architecture design and trade-off discussions across performance, scalability, cost, and reliability - including for ML/AI-specific systems like RAG pipelines and production-grade AI applications Own projects from first discovery call through full deployment - including client-facing delivery, internal coordination, and post-launch iteration Build shared infrastructure, reusable components, and internal playbooks to level-up the team, including MLOps practices for model versioning, monitoring, and lifecycle management Coach and mentor mid-level engineers and help shape the culture of forward-deployed AI engineering at Invisible What We Need 10+ years of software engineering experience, including significant time spent building data, ML, or backend systems Python & ML/LLM Frameworks: Deep proficiency in Python with hands-on experience using Hugging Face, LangChain, OpenAI, Pinecone, and related ecosystems, including LLMs and AI Agents Deployment & Infrastructure: Skilled in full-stack and API-based deployment patterns, including Docker, FastAPI, Kubernetes, and cloud environments (GCP, AWS, Azure) Platform Orchestration: Experienced with workflow orchestration libraries, pub/sub systems (Kafka), and schema governance Data Management: Expertise in data governance and operations, including Unity Catalog and policy management, cluster/job orchestration, data contracts and quality enforcement, Delta/ETL pipelines, and replay processes ML Operations (for teams with an applied AI/ML focus): Experience with MLOps frameworks and best practices - model versioning, monitoring, and lifecycle management - and designing scalable ML systems such as RAG pipelines Strong product and system design instincts - you understand business needs and how to translate them into technical architecture Experience building usable systems from messy data and ambiguous requirements Excellent communication and client-facing skills; you've led conversations with technical and non-technical stakeholders alike Proven experience owning projects from scoping through deployment in ambiguous, high-stakes environments Strong engineering background demonstrated by a Bachelor's degree in Data Science, Computer Science and related fields OR equivalent professional experience Be willing to be on-call for our customers when situations arise Travel: Willingness to travel for on-site client engagements as needed Onsite: Available to work from the office a few days per week, depending on team needs - some NYC-based teams require 3 days per week onsite; your specific requirement will depend on the team you're placed with What's In It For You Invisible is committed to fair and competitive pay, ensuring that compensation reflects both market conditions and the value each team member brings. Our salary structure accounts for regional differences in cost of living while maintaining internal equity. The annual salary range for this position, depending on level, is: $250,000 - $300,000 USD You can find more information about our geographic pay tiers here. During the interview process, your Invisible Talent Acquisition Partner will confirm which tier applies to your location. For candidates outside the U.S., compensation is adjusted to reflect local market conditions and cost of living. Bonuses and equity are included in all full-time offers. Final compensation is determined by a combination of factors, including location, job-related experience, skills, knowledge, internal pay equity, and overall market conditions. Because of this, every offer is unique. Additional details on total compensation and benefits will be discussed during the hiring process. What It's Like to Work at Invisible: At Invisible, we're not just redefining work-we're reinventing it. We operate at the intersection of advanced AI and human ingenuity, pushing the boundaries of what's possible to unlock productivity and scale. Ownership is at the core of everything we do. Here, you won't just execute tasks-you'll build, innovate, and shape the future alongside world-class clients pushing the boundaries of AI. We expect bold ideas, relentless drive, and the ability to turn ambiguity into opportunity. The pace is fast, the challenges are big, and the growth is unmatched. We're not for everyone, and we're okay with that. If you're looking for predictable routines, this isn't the place for you. But if you're driven to create, thrive in dynamic environments, and want a front-row seat to the AI revolution, you'll fit right in. Country Hiring Guidelines: Invisible is a hybrid organization with offices and team members located around the world. While some roles may offer remote flexibility, most positions involve in-office collaboration and are tied to specific locations. Any location-based requirements or hybrid expectations will be communicated by our Talent Acquisition team during the recruiting process. AI Interviewing Guidelines: Our hiring team thoughtfully uses AI to support an efficient, engaging, and inclusive interview process. Since AI can also be a helpful tool for candidates, we've outlined expectations for using it ethically throughout your interview journey. Click here to learn more about how we use AI and our guidelines for candidates. Accessibility Statement: We are committed to providing reasonable accommodations for individuals with disabilities. If you require an accommodation to participate in the application or interview process, please submit your request using our accommodation request form. A member of our team will follow up to support your request. Here is the link the google form: Equal Opportunity Statement: We're an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, or veteran status, or any other basis protected by law. Due to a high volume of candidates, Invisible may use automated decision-maker technologies to filter candidates based on response to our application questions and other provided information. Our use of automated decision-making enables us to be efficient by providing a manageable list of possible candidates that meet our mandatory hiring criteria. If you object to our use of automated decision-making please contact us.
09/24/2026
Full time
About Invisible Invisible Technologies makes AI work. Our end-to-end AI platform structures messy data, automates digital workflows, deploys agentic solutions, measures outcomes, and integrates human expertise where it matters most. Our platform cleans, labels, and structures company data so it is ready for AI. It adapts models to each business and adds human expertise when needed, the same approach we have used to improve models for more than 80% of the world's top AI companies, including Microsoft, AWS, and Cohere. Our successes span industries, from supply chain automation for Swiss Gear to AI-enabled naval simulations with SAIC, and validating NBA draft picks for the Charlotte Hornets. Profitable for more than half a decade, Invisible reached $134M in revenue and ranked as the number two fastest growing AI company on the 2024 Inc. 5000. In September 2025, we raised $100M in growth capital to accelerate our mission of making AI actually work in the enterprise and to advance our platform technology. About The Role As a Principal Forward Deployed Engineer (FDE) at Invisible, you'll lead high-impact, AI-powered solutions that reshape how our clients operate their most critical workflows. You won't just build and deploy - you'll drive the strategy, architecture, and execution of end-to-end systems, working directly with clients. This is a hybrid role: equal parts AI engineer, software builder, and technical consultant. It's perfect for someone who wants to be hands-on with models and close to the impact they generate. The team is increasingly focused on applied AI work - building and deploying LLM-powered and agentic systems in production - so strong ML engineering instincts can be a valuable addition alongside your architecture and leadership experience. What You'll Do Partner with delivery and executive stakeholders to scope, design, and lead implementation of AI-driven solutions, including LLM and agentic systems Identify transformational opportunities in messy, ambiguous workflows and turn them into repeatable systems Lead architecture design and trade-off discussions across performance, scalability, cost, and reliability - including for ML/AI-specific systems like RAG pipelines and production-grade AI applications Own projects from first discovery call through full deployment - including client-facing delivery, internal coordination, and post-launch iteration Build shared infrastructure, reusable components, and internal playbooks to level-up the team, including MLOps practices for model versioning, monitoring, and lifecycle management Coach and mentor mid-level engineers and help shape the culture of forward-deployed AI engineering at Invisible What We Need 10+ years of software engineering experience, including significant time spent building data, ML, or backend systems Python & ML/LLM Frameworks: Deep proficiency in Python with hands-on experience using Hugging Face, LangChain, OpenAI, Pinecone, and related ecosystems, including LLMs and AI Agents Deployment & Infrastructure: Skilled in full-stack and API-based deployment patterns, including Docker, FastAPI, Kubernetes, and cloud environments (GCP, AWS, Azure) Platform Orchestration: Experienced with workflow orchestration libraries, pub/sub systems (Kafka), and schema governance Data Management: Expertise in data governance and operations, including Unity Catalog and policy management, cluster/job orchestration, data contracts and quality enforcement, Delta/ETL pipelines, and replay processes ML Operations (for teams with an applied AI/ML focus): Experience with MLOps frameworks and best practices - model versioning, monitoring, and lifecycle management - and designing scalable ML systems such as RAG pipelines Strong product and system design instincts - you understand business needs and how to translate them into technical architecture Experience building usable systems from messy data and ambiguous requirements Excellent communication and client-facing skills; you've led conversations with technical and non-technical stakeholders alike Proven experience owning projects from scoping through deployment in ambiguous, high-stakes environments Strong engineering background demonstrated by a Bachelor's degree in Data Science, Computer Science and related fields OR equivalent professional experience Be willing to be on-call for our customers when situations arise Travel: Willingness to travel for on-site client engagements as needed Onsite: Available to work from the office a few days per week, depending on team needs - some NYC-based teams require 3 days per week onsite; your specific requirement will depend on the team you're placed with What's In It For You Invisible is committed to fair and competitive pay, ensuring that compensation reflects both market conditions and the value each team member brings. Our salary structure accounts for regional differences in cost of living while maintaining internal equity. The annual salary range for this position, depending on level, is: $250,000 - $300,000 USD You can find more information about our geographic pay tiers here. During the interview process, your Invisible Talent Acquisition Partner will confirm which tier applies to your location. For candidates outside the U.S., compensation is adjusted to reflect local market conditions and cost of living. Bonuses and equity are included in all full-time offers. Final compensation is determined by a combination of factors, including location, job-related experience, skills, knowledge, internal pay equity, and overall market conditions. Because of this, every offer is unique. Additional details on total compensation and benefits will be discussed during the hiring process. What It's Like to Work at Invisible: At Invisible, we're not just redefining work-we're reinventing it. We operate at the intersection of advanced AI and human ingenuity, pushing the boundaries of what's possible to unlock productivity and scale. Ownership is at the core of everything we do. Here, you won't just execute tasks-you'll build, innovate, and shape the future alongside world-class clients pushing the boundaries of AI. We expect bold ideas, relentless drive, and the ability to turn ambiguity into opportunity. The pace is fast, the challenges are big, and the growth is unmatched. We're not for everyone, and we're okay with that. If you're looking for predictable routines, this isn't the place for you. But if you're driven to create, thrive in dynamic environments, and want a front-row seat to the AI revolution, you'll fit right in. Country Hiring Guidelines: Invisible is a hybrid organization with offices and team members located around the world. While some roles may offer remote flexibility, most positions involve in-office collaboration and are tied to specific locations. Any location-based requirements or hybrid expectations will be communicated by our Talent Acquisition team during the recruiting process. AI Interviewing Guidelines: Our hiring team thoughtfully uses AI to support an efficient, engaging, and inclusive interview process. Since AI can also be a helpful tool for candidates, we've outlined expectations for using it ethically throughout your interview journey. Click here to learn more about how we use AI and our guidelines for candidates. Accessibility Statement: We are committed to providing reasonable accommodations for individuals with disabilities. If you require an accommodation to participate in the application or interview process, please submit your request using our accommodation request form. A member of our team will follow up to support your request. Here is the link the google form: Equal Opportunity Statement: We're an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, or veteran status, or any other basis protected by law. Due to a high volume of candidates, Invisible may use automated decision-maker technologies to filter candidates based on response to our application questions and other provided information. Our use of automated decision-making enables us to be efficient by providing a manageable list of possible candidates that meet our mandatory hiring criteria. If you object to our use of automated decision-making please contact us.