At PitchBook, a Morningstar company, we are always looking forward. We continue to innovate, evolve, and invest in ourselves to bring out the best in everyone. We're deeply collaborative and thrive on the excitement, energy, and fun that reverberates throughout the company. Our extensive learning programs and mentorship opportunities help us create a culture of curiosity that pushes us to always find new solutions and better ways of doing things. The combination of a rapidly evolving industry and our high ambitions means there's going to be some ambiguity along the way, but we excel when we challenge ourselves. We're willing to take risks, fail fast, and do it all over again in the pursuit of excellence. If you have a good attitude and are willing to roll up your sleeves to get things done, PitchBook is the place for you. About The Role As a member of the Product and Engineering team at PitchBook, you will be part of a team of big thinkers, innovators, and problem solvers who strive to deepen the positive impact we have on our customers and our company every day. We value curiosity and the drive to find better ways of doing things. We thrive on customer empathy, which remains our focus when creating excellent customer experiences through product innovation. We know that greatness is achieved through collaboration and diverse points of view, so we work closely with partners around the globe. As a team, we assume positive intent in each other's words and actions, value constructive discussions, and foster a respectful working environment built on integrity, growth, and business value. We invest heavily in our people, who are eager to learn and constantly improve. Join our team and grow with us! Primary Job Responsibilities Deliver high-impact AI and ML capabilities that drive insight generation on the PitchBook Platform. Ensure your work contributes to broader business goals and is aligned with the team's strategic priorities Provide hands-on expertise in designing, building, and deploying AI/ML models and services with a focus on NLP, summarization, semantic search, classification, and prediction. Contribute to the development of scalable, high-performance systems that meet production-grade reliability and efficiency standards Contribute to a culture of technical excellence by sharing knowledge, pairing with teammates, and actively participating in code and design reviews. Provide situational guidance to junior engineers and contribute to team best practices Build and optimize models that leverage classifiers, transformers, LLMs, and other NLP techniques to generate meaningful insights from structured and unstructured data. Integrate these models into the broader AI/ML infrastructure in collaboration with partner teams Collaborate with engineering, product management, and data collection teams to ensure models are informed by high-quality data and support strategic product goals Explore and experiment with emerging technologies, methodologies, and tools in the fields of GenAI, NLP, and search. Translate research findings into practical solutions that enhance PitchBook's AI capabilities Contribute to best practices in model transparency, monitoring, evaluation, and compliance. Help maintain high standards of security, data integrity, and responsible AI use across your projects Participate in the technical evaluation of candidates and help onboard new team members by contributing to documentation, pairing, and knowledge-sharing practices Apply principles from Agile, Lean, and Fast-Flow methodologies to support efficient model development and deployment cycles Support the vision and values of the company through role modeling and encouraging desired behaviors Participate in various company initiatives and projects as requested Skills And Qualifications Bachelor's degree in Computer Science, Mathematics, Data Science, or related technical field, advanced degrees are preferred 2+ years of experience in software engineering or machine learning engineering, with a strong focus on AI/ML applications in insight generation, summarization, semantic search, and prediction Demonstrated expertise in natural language processing (NLP) and machine learning, including hands off experience with classifiers, transformer models, large language models (LLMs), and widely used ML and data science libraries such as scikit learn, pandas, numpy, TensorFlow, and PyTorch Experience delivering production grade GenAI or LLM based systems with measurable business impact Familiarity with the LangChain ecosystem, including tools such as LangSmith and LangGraph, and experience using them in production environments is a strong plus Proficiency in building and maintaining scalable data pipelines and distributed systems using technologies such as Apache Kafka, Airflow, and cloud data platforms like Snowflake Strong programming skills in Python and SQL, with working knowledge of additional languages such as Java or Scala considered a plus Practical experience with cloud native development, containerization, and orchestration technologies such as Docker and Kubernetes Demonstrated ability to solve complex technical problems, contribute to architectural decisions, and deliver high performance, reliable solutions Excellent communication and collaboration skills, with experience working cross functionally with product managers, engineers, and data scientists in globally distributed teams Experience working in fast paced, data driven environments. Prior exposure to fintech or financial data platforms is a strong advantage Experience authoring research papers for peer reviewed AI/ML conferences (e.g., NeurIPS, ICML, ACL) and participating in the broader AI research community is strongly preferred Must be authorized to work in the United States without the need for visa sponsorship now or in the future Benefits + Compensation at PitchBook Physical Health Comprehensive health benefits Additional medical wellness incentives STD, LTD, AD&D, and life insurance Emotional Health Paid sabbatical program after four years Paid family and paternity leave Annual educational stipend Ability to apply for tuition reimbursement CFA exam stipend Robust training programs on industry and soft skills Employee assistance program Generous allotment of vacation days, sick days, and volunteer days Social Health Matching gifts program Employee resource groups Subsidized emergency childcare Dependent Care FSA Company wide events Employee referral bonus program Quarterly team building events Financial Health 401k match Shared ownership employee stock program Monthly transportation stipend Please be aware the above PitchBook benefit and perk offerings are subject to corresponding plan and policy documents and may change during the course of your employment. Compensation Annual base salary: $125,000-$180,000 Target annual bonus percentage: 10% Working Conditions At the heart of our company is a belief in the power of in person collaboration. Being together in the office fuels our creativity, strengthens our connections, and drives the innovation that sets us apart. Our culture is built on spontaneous moments-those hallway conversations, whiteboard brainstorms, and shared celebrations in each of our global offices-that simply can't be replicated remotely. This role is expected to be in the office 5 days a week. The job conditions for this position are in a standard office setting. Employees in this position use PC and phone on an on going basis throughout the day. Limited corporate travel may be required to remote offices or other business meetings and events. Life At PB We are consistently recognized as a Best Place to Work and our culture is at the heart of our success. It's our fundamental belief that people do and create great things and that people are the cornerstone of prosperity. We believe that proactively seeking out different points of view, listening to others, learning, and reflecting on what we've heard creates a sense of belonging within PitchBook and strengthens the PitchBook community. We are excited to get to know you and your background. Concerned that you might not meet every requirement? We encourage you to still apply as you might be the right candidate for the role or other roles at PitchBook.
04/05/2026
Full time
At PitchBook, a Morningstar company, we are always looking forward. We continue to innovate, evolve, and invest in ourselves to bring out the best in everyone. We're deeply collaborative and thrive on the excitement, energy, and fun that reverberates throughout the company. Our extensive learning programs and mentorship opportunities help us create a culture of curiosity that pushes us to always find new solutions and better ways of doing things. The combination of a rapidly evolving industry and our high ambitions means there's going to be some ambiguity along the way, but we excel when we challenge ourselves. We're willing to take risks, fail fast, and do it all over again in the pursuit of excellence. If you have a good attitude and are willing to roll up your sleeves to get things done, PitchBook is the place for you. About The Role As a member of the Product and Engineering team at PitchBook, you will be part of a team of big thinkers, innovators, and problem solvers who strive to deepen the positive impact we have on our customers and our company every day. We value curiosity and the drive to find better ways of doing things. We thrive on customer empathy, which remains our focus when creating excellent customer experiences through product innovation. We know that greatness is achieved through collaboration and diverse points of view, so we work closely with partners around the globe. As a team, we assume positive intent in each other's words and actions, value constructive discussions, and foster a respectful working environment built on integrity, growth, and business value. We invest heavily in our people, who are eager to learn and constantly improve. Join our team and grow with us! Primary Job Responsibilities Deliver high-impact AI and ML capabilities that drive insight generation on the PitchBook Platform. Ensure your work contributes to broader business goals and is aligned with the team's strategic priorities Provide hands-on expertise in designing, building, and deploying AI/ML models and services with a focus on NLP, summarization, semantic search, classification, and prediction. Contribute to the development of scalable, high-performance systems that meet production-grade reliability and efficiency standards Contribute to a culture of technical excellence by sharing knowledge, pairing with teammates, and actively participating in code and design reviews. Provide situational guidance to junior engineers and contribute to team best practices Build and optimize models that leverage classifiers, transformers, LLMs, and other NLP techniques to generate meaningful insights from structured and unstructured data. Integrate these models into the broader AI/ML infrastructure in collaboration with partner teams Collaborate with engineering, product management, and data collection teams to ensure models are informed by high-quality data and support strategic product goals Explore and experiment with emerging technologies, methodologies, and tools in the fields of GenAI, NLP, and search. Translate research findings into practical solutions that enhance PitchBook's AI capabilities Contribute to best practices in model transparency, monitoring, evaluation, and compliance. Help maintain high standards of security, data integrity, and responsible AI use across your projects Participate in the technical evaluation of candidates and help onboard new team members by contributing to documentation, pairing, and knowledge-sharing practices Apply principles from Agile, Lean, and Fast-Flow methodologies to support efficient model development and deployment cycles Support the vision and values of the company through role modeling and encouraging desired behaviors Participate in various company initiatives and projects as requested Skills And Qualifications Bachelor's degree in Computer Science, Mathematics, Data Science, or related technical field, advanced degrees are preferred 2+ years of experience in software engineering or machine learning engineering, with a strong focus on AI/ML applications in insight generation, summarization, semantic search, and prediction Demonstrated expertise in natural language processing (NLP) and machine learning, including hands off experience with classifiers, transformer models, large language models (LLMs), and widely used ML and data science libraries such as scikit learn, pandas, numpy, TensorFlow, and PyTorch Experience delivering production grade GenAI or LLM based systems with measurable business impact Familiarity with the LangChain ecosystem, including tools such as LangSmith and LangGraph, and experience using them in production environments is a strong plus Proficiency in building and maintaining scalable data pipelines and distributed systems using technologies such as Apache Kafka, Airflow, and cloud data platforms like Snowflake Strong programming skills in Python and SQL, with working knowledge of additional languages such as Java or Scala considered a plus Practical experience with cloud native development, containerization, and orchestration technologies such as Docker and Kubernetes Demonstrated ability to solve complex technical problems, contribute to architectural decisions, and deliver high performance, reliable solutions Excellent communication and collaboration skills, with experience working cross functionally with product managers, engineers, and data scientists in globally distributed teams Experience working in fast paced, data driven environments. Prior exposure to fintech or financial data platforms is a strong advantage Experience authoring research papers for peer reviewed AI/ML conferences (e.g., NeurIPS, ICML, ACL) and participating in the broader AI research community is strongly preferred Must be authorized to work in the United States without the need for visa sponsorship now or in the future Benefits + Compensation at PitchBook Physical Health Comprehensive health benefits Additional medical wellness incentives STD, LTD, AD&D, and life insurance Emotional Health Paid sabbatical program after four years Paid family and paternity leave Annual educational stipend Ability to apply for tuition reimbursement CFA exam stipend Robust training programs on industry and soft skills Employee assistance program Generous allotment of vacation days, sick days, and volunteer days Social Health Matching gifts program Employee resource groups Subsidized emergency childcare Dependent Care FSA Company wide events Employee referral bonus program Quarterly team building events Financial Health 401k match Shared ownership employee stock program Monthly transportation stipend Please be aware the above PitchBook benefit and perk offerings are subject to corresponding plan and policy documents and may change during the course of your employment. Compensation Annual base salary: $125,000-$180,000 Target annual bonus percentage: 10% Working Conditions At the heart of our company is a belief in the power of in person collaboration. Being together in the office fuels our creativity, strengthens our connections, and drives the innovation that sets us apart. Our culture is built on spontaneous moments-those hallway conversations, whiteboard brainstorms, and shared celebrations in each of our global offices-that simply can't be replicated remotely. This role is expected to be in the office 5 days a week. The job conditions for this position are in a standard office setting. Employees in this position use PC and phone on an on going basis throughout the day. Limited corporate travel may be required to remote offices or other business meetings and events. Life At PB We are consistently recognized as a Best Place to Work and our culture is at the heart of our success. It's our fundamental belief that people do and create great things and that people are the cornerstone of prosperity. We believe that proactively seeking out different points of view, listening to others, learning, and reflecting on what we've heard creates a sense of belonging within PitchBook and strengthens the PitchBook community. We are excited to get to know you and your background. Concerned that you might not meet every requirement? We encourage you to still apply as you might be the right candidate for the role or other roles at PitchBook.
Get AI-powered advice on this job and more exclusive features. Here at Appian, our core values of Respect, Work to Impact, Ambition, and Constructive Dissent & Resolution define who we are. In short, this means we constantly seek to understand the best for our customers, we go beyond completion in our work, we strive for excellence with intensity, and we embrace candid communication. These values guide our actions and shape our culture every day. When you join Appian, you'll be part of a passionate team that's dedicated to accomplishing hard things. We are seeking a Senior Technical Consultant to join our Customer Success team. In this role, you will be engaging with our customers post-sales to develop software solutions on the Appian platform. These applications help companies drive digital transformation and competitive differentiation. Your primary responsibility will be to help lead projects and work throughout the entire project life-cycle to define, design, develop and implement custom software solutions using Appian's low-code platform for our commercial clients. This includes working within an agile environment to understand our client's business processes and technical needs, launch new relational data models in production, developing APIs to integrate with multiple systems, and leading/mentoring consultants through fast-paced software implementations. You will also collaborate with client's technical teams and business users as needed throughout the entire software and development life cycle and drive adoption by empowering clients to become self-sufficient with building process applications on their own. This role is based at our Headquarters in McLean, Virginia. Appian was built on a culture of in-person collaboration, which we believe is a key driver of our mission to be the best. Employees hired for this position are expected to be in the office 5 days a week to foster that culture and ensure we continue to thrive through shared ideas and teamwork. We believe being in the office provides more opportunities to come together and celebrate working with the exceptional people across Appian. To Be Successful In This Role, You Need Passion for mentoring/developing others and experience leading small teams through post-sale software implementation Ability to work with clients to define business processes and gather functional and technical system requirements Excellent communication skills, passion for technology and continuous learning, and affinity for asking "why" and solving the right problems History of success on cross-functional teams; experience building products using agile methodologies (pair programming, stand-ups, planning sessions, and sprints) Basic understanding of object oriented programming, experience working with relational databases and database design/data modeling, and SQL skills (writing queries, joins, views, etc) Knowledge of software testing practices (test-driven development, automated test suites within a continuous integration framework); integrations experience using APIs such as REST and SOAP, JDBC connections, and web services; familiarity with Amazon Web Services (AWS), Artificial Intelligence (AI), Analytics, Machine Learning, Google Cloud, Application Integration, Database, Developer Tools, Management & Governance, and Elastic Containers (preferred) Basic Qualifications 3+ years of experience with hands-on software development or technical consulting B.S./B.A. in Engineering, Computer Science, Information Systems, Mathematics or related field/degree Willingness to travel; 20% to support customer engagement Tools and Resources Training and Development: During onboarding, we focus on equipping new hires with the skills and knowledge for success through department-specific training. Continuous learning is a central focus at Appian, with dedicated mentorship and the First-Friend program being widely utilized resources for new hires. Growth Opportunities: Appian provides a diverse array of growth and development opportunities, including our leadership program tailored for new and aspiring managers, a comprehensive library of specialized department training through Appian University, skills based training, and tuition reimbursement for those aiming to advance their education. This commitment ensures that employees have access to a holistic range of development opportunities. Community: We'll immerse you into our community rooted in respect starting on day one. Appian fosters inclusivity through our 8 employee-led affinity groups. These groups help employees build stronger internal and external networks by planning social, educational, and outreach activities to connect with Appianites and larger initiatives throughout the company. About Appian Appian is a software company that automates business processes. The Appian AI-Powered Process Platform includes everything you need to design, automate, and optimize even the most complex processes, from start to finish. The world's most innovative organizations trust Appian to improve their workflows, unify data, and optimize operations-resulting in better growth and superior customer experiences. For more information, visit Nasdaq: APPN Follow Appian: LinkedIn. Appian is an equal opportunity employer that strives to attract and retain the best talent. All qualified applicants will receive consideration for employment without regard to any characteristic protected by applicable federal, state, or local law. Appian provides reasonable accommodations to applicants in accordance with all applicable laws. If you need a reasonable accommodation for any part of the employment process, please contact us by email at . Please note that only inquiries concerning a request for reasonable accommodation will be responded to from this email address. Appian's Applicant & Candidate Privacy Notice Seniority level Seniority levelMid-Senior level Employment type Employment typeFull-time Job function Job functionInformation Technology IndustriesSoftware Development Referrals increase your chances of interviewing at Appian by 2x Sign in to set job alerts for "Senior Technical Consultant" roles.Remote IT Support - $70-$90k (Internal, Security) Washington, DC $70,000.00-$90,000.00 1 week ago Opportunity - Want to Join a Great Team and Make a DifferenceIT Assessor Jr.-Secret Clearance (REMOTE) Washington DC-Baltimore Area $85,000.00-$96,000.00 2 weeks ago McLean, VA $112,000.00-$197,500.00 1 week ago Bethesda, MD $80,000.00-$120,000.00 5 months ago Washington, DC $90,000.00-$180,000.00 3 weeks ago Supv IT Specialist (OPERATING SYSTEMS/CUSTOMER SUPPORT) Washington DC-Baltimore Area $155,000.00-$215,000.00 2 weeks ago Chantilly, VA $101,401.00-$114,923.00 4 days ago Washington, DC $120,000.00-$133,000.00 3 weeks ago Arlington, VA $90,000.00-$150,000.00 1 month ago Washington, DC $55,000.00-$65,000.00 2 weeks ago Oxon Hill, MD $97,000.00-$130,000.00 1 week ago We're unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
04/05/2026
Full time
Get AI-powered advice on this job and more exclusive features. Here at Appian, our core values of Respect, Work to Impact, Ambition, and Constructive Dissent & Resolution define who we are. In short, this means we constantly seek to understand the best for our customers, we go beyond completion in our work, we strive for excellence with intensity, and we embrace candid communication. These values guide our actions and shape our culture every day. When you join Appian, you'll be part of a passionate team that's dedicated to accomplishing hard things. We are seeking a Senior Technical Consultant to join our Customer Success team. In this role, you will be engaging with our customers post-sales to develop software solutions on the Appian platform. These applications help companies drive digital transformation and competitive differentiation. Your primary responsibility will be to help lead projects and work throughout the entire project life-cycle to define, design, develop and implement custom software solutions using Appian's low-code platform for our commercial clients. This includes working within an agile environment to understand our client's business processes and technical needs, launch new relational data models in production, developing APIs to integrate with multiple systems, and leading/mentoring consultants through fast-paced software implementations. You will also collaborate with client's technical teams and business users as needed throughout the entire software and development life cycle and drive adoption by empowering clients to become self-sufficient with building process applications on their own. This role is based at our Headquarters in McLean, Virginia. Appian was built on a culture of in-person collaboration, which we believe is a key driver of our mission to be the best. Employees hired for this position are expected to be in the office 5 days a week to foster that culture and ensure we continue to thrive through shared ideas and teamwork. We believe being in the office provides more opportunities to come together and celebrate working with the exceptional people across Appian. To Be Successful In This Role, You Need Passion for mentoring/developing others and experience leading small teams through post-sale software implementation Ability to work with clients to define business processes and gather functional and technical system requirements Excellent communication skills, passion for technology and continuous learning, and affinity for asking "why" and solving the right problems History of success on cross-functional teams; experience building products using agile methodologies (pair programming, stand-ups, planning sessions, and sprints) Basic understanding of object oriented programming, experience working with relational databases and database design/data modeling, and SQL skills (writing queries, joins, views, etc) Knowledge of software testing practices (test-driven development, automated test suites within a continuous integration framework); integrations experience using APIs such as REST and SOAP, JDBC connections, and web services; familiarity with Amazon Web Services (AWS), Artificial Intelligence (AI), Analytics, Machine Learning, Google Cloud, Application Integration, Database, Developer Tools, Management & Governance, and Elastic Containers (preferred) Basic Qualifications 3+ years of experience with hands-on software development or technical consulting B.S./B.A. in Engineering, Computer Science, Information Systems, Mathematics or related field/degree Willingness to travel; 20% to support customer engagement Tools and Resources Training and Development: During onboarding, we focus on equipping new hires with the skills and knowledge for success through department-specific training. Continuous learning is a central focus at Appian, with dedicated mentorship and the First-Friend program being widely utilized resources for new hires. Growth Opportunities: Appian provides a diverse array of growth and development opportunities, including our leadership program tailored for new and aspiring managers, a comprehensive library of specialized department training through Appian University, skills based training, and tuition reimbursement for those aiming to advance their education. This commitment ensures that employees have access to a holistic range of development opportunities. Community: We'll immerse you into our community rooted in respect starting on day one. Appian fosters inclusivity through our 8 employee-led affinity groups. These groups help employees build stronger internal and external networks by planning social, educational, and outreach activities to connect with Appianites and larger initiatives throughout the company. About Appian Appian is a software company that automates business processes. The Appian AI-Powered Process Platform includes everything you need to design, automate, and optimize even the most complex processes, from start to finish. The world's most innovative organizations trust Appian to improve their workflows, unify data, and optimize operations-resulting in better growth and superior customer experiences. For more information, visit Nasdaq: APPN Follow Appian: LinkedIn. Appian is an equal opportunity employer that strives to attract and retain the best talent. All qualified applicants will receive consideration for employment without regard to any characteristic protected by applicable federal, state, or local law. Appian provides reasonable accommodations to applicants in accordance with all applicable laws. If you need a reasonable accommodation for any part of the employment process, please contact us by email at . Please note that only inquiries concerning a request for reasonable accommodation will be responded to from this email address. Appian's Applicant & Candidate Privacy Notice Seniority level Seniority levelMid-Senior level Employment type Employment typeFull-time Job function Job functionInformation Technology IndustriesSoftware Development Referrals increase your chances of interviewing at Appian by 2x Sign in to set job alerts for "Senior Technical Consultant" roles.Remote IT Support - $70-$90k (Internal, Security) Washington, DC $70,000.00-$90,000.00 1 week ago Opportunity - Want to Join a Great Team and Make a DifferenceIT Assessor Jr.-Secret Clearance (REMOTE) Washington DC-Baltimore Area $85,000.00-$96,000.00 2 weeks ago McLean, VA $112,000.00-$197,500.00 1 week ago Bethesda, MD $80,000.00-$120,000.00 5 months ago Washington, DC $90,000.00-$180,000.00 3 weeks ago Supv IT Specialist (OPERATING SYSTEMS/CUSTOMER SUPPORT) Washington DC-Baltimore Area $155,000.00-$215,000.00 2 weeks ago Chantilly, VA $101,401.00-$114,923.00 4 days ago Washington, DC $120,000.00-$133,000.00 3 weeks ago Arlington, VA $90,000.00-$150,000.00 1 month ago Washington, DC $55,000.00-$65,000.00 2 weeks ago Oxon Hill, MD $97,000.00-$130,000.00 1 week ago We're unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
About Glean About Glean Founded in 2019, Glean is an innovative AI-powered knowledge management platform designed to help organizations quickly find, organize, and share information across their teams. By integrating seamlessly with tools like Google Drive, Slack, and Microsoft Teams, Glean ensures employees can access the right knowledge at the right time, boosting productivity and collaboration. The company's cutting-edge AI technology simplifies knowledge discovery, making it faster and more efficient for teams to leverage their collective intelligence. Glean was born from Founder & CEO Arvind Jain's deep understanding of the challenges employees face in finding and understanding information at work. Seeing firsthand how fragmented knowledge and sprawling SaaS tools made it difficult to stay productive, he set out to build a better way - an AI-powered enterprise search platform that helps people quickly and intuitively access the information they need. Since then, Glean has evolved into the leading Work AI platform, combining enterprise-grade search, an AI assistant, and powerful application- and agent-building capabilities to fundamentally redefine how employees work. The Role The Agents Runtime team builds the low-latency, reliable, and secure foundation that powers Glean's AI agents and assistant experiences at scale. You'll design and operate core runtime services for multi-turn orchestration, tool calling, model routing, memory, streaming, and safety. You'll work across distributed systems, production observability, and ML infra integrations to deliver an experience that feels instant, accurate, and trustworthy - while optimizing cost and reliability. You Will Own impactful runtime problems end-to-end - from architecture and design to production launch and ongoing reliability. Build and evolve core services for session lifecycle, streaming responses (e.g., gRPC/WebSockets), structured tool execution, memory/state, and policy/guardrails. Design for performance, correctness, and cost: reduce p50/p95 latency, improve tail behavior, and optimize token/tool budgets. Integrate with leading LLM providers (e.g., OpenAI, Anthropic, Google Gemini) and internal evaluation frameworks to improve quality and predictability. Harden the platform with fault isolation, retries, timeouts, circuit-breaking, backpressure, and graceful degradation. Instrument deep observability (tracing, metrics, logs) and create playbooks/SLOs for high availability and on-call excellence. Collaborate closely with product, quality, and application teams to prioritize the most impactful roadmap investments. You Are 3+ years of software engineering experience building production distributed systems or cloud-native applications. BS/BA in Computer Science or related field, or equivalent practical experience. Strong coding skills in at least one of: Python, Go, Java, or C++, with a focus on reliability, performance, and tests. Product-minded: you prioritize customer impact, clear SLAs/SLOs, and pragmatic iteration. Ownership-driven with a positive, proactive attitude; comfortable leading projects or learning from battle-tested engineers. Experience operating services on Kubernetes and at least one major cloud (e.g., GCP, AWS, or Azure). Familiarity with event/streaming systems (e.g., Pub/Sub, Kafka), caching (e.g., Redis), and data stores for low-latency paths. Practical understanding of LLM/agents building blocks: tool/function calling, structured outputs, streaming, and model selection/routing. Strong observability and debugging skills: tracing (e.g., OpenTelemetry), metrics, dashboards, and production forensics. Background in one or more areas is a plus: policy/guardrails, multi-tenant isolation, rate-limiting, concurrency control, cost optimization. Location This role is hybrid (3-4 days a week in one of our SF Bay Area offices) Compensation & Benefits The standard base salary range for this position is $140,000 - $265,000 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. 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. 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. Seniority level Mid-Senior level Employment type Full-time Job function Engineering and Information Technology Industries Software Development
04/05/2026
Full time
About Glean About Glean Founded in 2019, Glean is an innovative AI-powered knowledge management platform designed to help organizations quickly find, organize, and share information across their teams. By integrating seamlessly with tools like Google Drive, Slack, and Microsoft Teams, Glean ensures employees can access the right knowledge at the right time, boosting productivity and collaboration. The company's cutting-edge AI technology simplifies knowledge discovery, making it faster and more efficient for teams to leverage their collective intelligence. Glean was born from Founder & CEO Arvind Jain's deep understanding of the challenges employees face in finding and understanding information at work. Seeing firsthand how fragmented knowledge and sprawling SaaS tools made it difficult to stay productive, he set out to build a better way - an AI-powered enterprise search platform that helps people quickly and intuitively access the information they need. Since then, Glean has evolved into the leading Work AI platform, combining enterprise-grade search, an AI assistant, and powerful application- and agent-building capabilities to fundamentally redefine how employees work. The Role The Agents Runtime team builds the low-latency, reliable, and secure foundation that powers Glean's AI agents and assistant experiences at scale. You'll design and operate core runtime services for multi-turn orchestration, tool calling, model routing, memory, streaming, and safety. You'll work across distributed systems, production observability, and ML infra integrations to deliver an experience that feels instant, accurate, and trustworthy - while optimizing cost and reliability. You Will Own impactful runtime problems end-to-end - from architecture and design to production launch and ongoing reliability. Build and evolve core services for session lifecycle, streaming responses (e.g., gRPC/WebSockets), structured tool execution, memory/state, and policy/guardrails. Design for performance, correctness, and cost: reduce p50/p95 latency, improve tail behavior, and optimize token/tool budgets. Integrate with leading LLM providers (e.g., OpenAI, Anthropic, Google Gemini) and internal evaluation frameworks to improve quality and predictability. Harden the platform with fault isolation, retries, timeouts, circuit-breaking, backpressure, and graceful degradation. Instrument deep observability (tracing, metrics, logs) and create playbooks/SLOs for high availability and on-call excellence. Collaborate closely with product, quality, and application teams to prioritize the most impactful roadmap investments. You Are 3+ years of software engineering experience building production distributed systems or cloud-native applications. BS/BA in Computer Science or related field, or equivalent practical experience. Strong coding skills in at least one of: Python, Go, Java, or C++, with a focus on reliability, performance, and tests. Product-minded: you prioritize customer impact, clear SLAs/SLOs, and pragmatic iteration. Ownership-driven with a positive, proactive attitude; comfortable leading projects or learning from battle-tested engineers. Experience operating services on Kubernetes and at least one major cloud (e.g., GCP, AWS, or Azure). Familiarity with event/streaming systems (e.g., Pub/Sub, Kafka), caching (e.g., Redis), and data stores for low-latency paths. Practical understanding of LLM/agents building blocks: tool/function calling, structured outputs, streaming, and model selection/routing. Strong observability and debugging skills: tracing (e.g., OpenTelemetry), metrics, dashboards, and production forensics. Background in one or more areas is a plus: policy/guardrails, multi-tenant isolation, rate-limiting, concurrency control, cost optimization. Location This role is hybrid (3-4 days a week in one of our SF Bay Area offices) Compensation & Benefits The standard base salary range for this position is $140,000 - $265,000 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. 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. 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. Seniority level Mid-Senior level Employment type Full-time Job function Engineering and Information Technology Industries Software Development
A leading AI technology firm in San Francisco is seeking a Senior Full-Stack Software Engineer with a strong background in React, TypeScript, and Python. The ideal candidate will have over 5 years of experience and will be responsible for building scalable applications integrating modern AI technologies. This full-time position offers a competitive salary range of $216,200 to $270,250 USD, inclusive of benefits and equity options. The role thrives on collaboration and adaptability within a dynamic team environment.
04/05/2026
Full time
A leading AI technology firm in San Francisco is seeking a Senior Full-Stack Software Engineer with a strong background in React, TypeScript, and Python. The ideal candidate will have over 5 years of experience and will be responsible for building scalable applications integrating modern AI technologies. This full-time position offers a competitive salary range of $216,200 to $270,250 USD, inclusive of benefits and equity options. The role thrives on collaboration and adaptability within a dynamic team environment.
Overview Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver -to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. You Will Develop importance sampling techniques that enable our evaluation pipelines to deliver better signals with fewer resources. Find signals in our logs and simulations that might help us to more efficiently discover rare and important events. Build systems that systematically optimize multiple objectives under resource constraints. Collaborate with other engineers, data scientists, statisticians and the leadership team to deliver evaluation products and help make data driven decisions. Champion code health and best practices in a large and complex code base. You Have BS in Computer Science, Robotics, Statistics, Physics, Math or another quantitative area Fluency with probability and statistics Strong self-motivation to navigate complex systems and pursue open-ended problems to completion 2-3 years of experience with Navigating and modifying a large code base containing a variety of languages, such as C++, Python and SQL Performing statistical analyses Building data processing pipelines Writing, reviewing, and merging code following industry standards for code health and maintainability We Prefer Experience programming in C++ Experience developing and evaluating sampling methods Experience designing, training, evaluating, and applying ML models Experience working in the AV industry PhD in a quantitative field The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process. Waymo employees are also eligible to participate in Waymo's discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $170,000-$216,000 USD
04/05/2026
Full time
Overview Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver -to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. You Will Develop importance sampling techniques that enable our evaluation pipelines to deliver better signals with fewer resources. Find signals in our logs and simulations that might help us to more efficiently discover rare and important events. Build systems that systematically optimize multiple objectives under resource constraints. Collaborate with other engineers, data scientists, statisticians and the leadership team to deliver evaluation products and help make data driven decisions. Champion code health and best practices in a large and complex code base. You Have BS in Computer Science, Robotics, Statistics, Physics, Math or another quantitative area Fluency with probability and statistics Strong self-motivation to navigate complex systems and pursue open-ended problems to completion 2-3 years of experience with Navigating and modifying a large code base containing a variety of languages, such as C++, Python and SQL Performing statistical analyses Building data processing pipelines Writing, reviewing, and merging code following industry standards for code health and maintainability We Prefer Experience programming in C++ Experience developing and evaluating sampling methods Experience designing, training, evaluating, and applying ML models Experience working in the AV industry PhD in a quantitative field The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process. Waymo employees are also eligible to participate in Waymo's discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $170,000-$216,000 USD
Overview Here at Appian, our values of Intensity and Excellence define who we are. We set high standards and live up to them, ensuring that everything we do is done with care and quality. We approach every challenge with ambition and commitment, holding ourselves and each other accountable to achieve the best results. When you join Appian, you'll be part of a passionate team dedicated to accomplishing hard things, together. We are seeking a Senior Technical Consultant to join our Customer Success team. In this role, you will be engaging with our customers post-sales to develop software solutions on the Appian platform. These applications help companies drive digital transformation and competitive differentiation. Your primary responsibility will be to help lead projects and work throughout the entire project life-cycle to define, design, develop and implement custom software solutions using Appian's low-code platform for our commercial clients. This includes working within an agile environment to understand our client's business processes and technical needs, launch new relational data models in production, developing APIs to integrate with multiple systems, and leading/mentoring consultants through fast-paced software implementations. You will also collaborate with client's technical teams and business users as needed throughout the entire software and development life cycle and drive adoption by empowering clients to become self-sufficient with building process applications on their own. Responsibilities To be successful in this role, you need: Passion for mentoring/developing others and experience leading small teams through post-sale software implementation Ability to work with clients to define business processes and gather functional and technical system requirements Excellent communication skills, passion for technology and continuous learning, and affinity for asking "why" and solving the right problems History of success on cross-functional teams; experience building products using agile methodologies (pair programming, stand-ups, planning sessions, and sprints) Basic understanding of object oriented programming, experience working with relational databases and database design/data modeling, and SQL skills (writing queries, joins, views, etc) Knowledge of software testing practices (test-driven development, automated test suites within a continuous integration framework); integrations experience using APIs such as REST and SOAP, JDBC connections, and web services; familiarity with AWS, AI, Analytics, Machine Learning, Google Cloud, Application Integration, Database, Developer Tools, Management & Governance, and Elastic Containers (preferred) Basic qualifications 3+ years of experience with hands-on software development or technical consulting B.S./B.A. in Engineering, Computer Science, Information Systems, Mathematics or related field/degree Willingness to travel; 20% to support customer engagement Tools and Resources Training and Development: During onboarding, we focus on equipping new hires with the skills and knowledge for success through department-specific training. Continuous learning is a central focus at Appian, with dedicated mentorship and the First-Friend program being widely utilized resources for new hires. Growth Opportunities: Appian provides a diverse array of growth and development opportunities, including our leadership program tailored for new and aspiring managers, a comprehensive library of specialized department training through Appian University, skills based training, and tuition reimbursement for those aiming to advance their education. This commitment ensures that employees have access to a holistic range of development opportunities. Community: We'll immerse you into our community rooted in respect starting on day one. Appian fosters inclusivity through our 8 employee-led affinity groups. These groups help employees build stronger internal and external networks by planning social, educational, and outreach activities to connect with Appianites and larger initiatives throughout the company. About Appian Appian is a software company that automates business processes. The Appian AI-Powered Process Platform includes everything you need to design, automate, and optimize even the most complex processes, from start to finish. The world's most innovative organizations trust Appian to improve their workflows, unify data, and optimize operations-resulting in better growth and superior customer experiences. For more information, visit Nasdaq: APPN Follow Appian: LinkedIn. Appian is an equal opportunity employer that strives to attract and retain the best talent. All qualified applicants will receive consideration for employment without regard to any characteristic protected by applicable federal, state, or local law. Appian provides reasonable accommodations to applicants in accordance with all applicable laws. If you need a reasonable accommodation for any part of the employment process, please contact us by email at . Please note that only inquiries concerning a request for reasonable accommodation will be responded to from this email address. Appian's Applicant & Candidate Privacy Notice
04/05/2026
Full time
Overview Here at Appian, our values of Intensity and Excellence define who we are. We set high standards and live up to them, ensuring that everything we do is done with care and quality. We approach every challenge with ambition and commitment, holding ourselves and each other accountable to achieve the best results. When you join Appian, you'll be part of a passionate team dedicated to accomplishing hard things, together. We are seeking a Senior Technical Consultant to join our Customer Success team. In this role, you will be engaging with our customers post-sales to develop software solutions on the Appian platform. These applications help companies drive digital transformation and competitive differentiation. Your primary responsibility will be to help lead projects and work throughout the entire project life-cycle to define, design, develop and implement custom software solutions using Appian's low-code platform for our commercial clients. This includes working within an agile environment to understand our client's business processes and technical needs, launch new relational data models in production, developing APIs to integrate with multiple systems, and leading/mentoring consultants through fast-paced software implementations. You will also collaborate with client's technical teams and business users as needed throughout the entire software and development life cycle and drive adoption by empowering clients to become self-sufficient with building process applications on their own. Responsibilities To be successful in this role, you need: Passion for mentoring/developing others and experience leading small teams through post-sale software implementation Ability to work with clients to define business processes and gather functional and technical system requirements Excellent communication skills, passion for technology and continuous learning, and affinity for asking "why" and solving the right problems History of success on cross-functional teams; experience building products using agile methodologies (pair programming, stand-ups, planning sessions, and sprints) Basic understanding of object oriented programming, experience working with relational databases and database design/data modeling, and SQL skills (writing queries, joins, views, etc) Knowledge of software testing practices (test-driven development, automated test suites within a continuous integration framework); integrations experience using APIs such as REST and SOAP, JDBC connections, and web services; familiarity with AWS, AI, Analytics, Machine Learning, Google Cloud, Application Integration, Database, Developer Tools, Management & Governance, and Elastic Containers (preferred) Basic qualifications 3+ years of experience with hands-on software development or technical consulting B.S./B.A. in Engineering, Computer Science, Information Systems, Mathematics or related field/degree Willingness to travel; 20% to support customer engagement Tools and Resources Training and Development: During onboarding, we focus on equipping new hires with the skills and knowledge for success through department-specific training. Continuous learning is a central focus at Appian, with dedicated mentorship and the First-Friend program being widely utilized resources for new hires. Growth Opportunities: Appian provides a diverse array of growth and development opportunities, including our leadership program tailored for new and aspiring managers, a comprehensive library of specialized department training through Appian University, skills based training, and tuition reimbursement for those aiming to advance their education. This commitment ensures that employees have access to a holistic range of development opportunities. Community: We'll immerse you into our community rooted in respect starting on day one. Appian fosters inclusivity through our 8 employee-led affinity groups. These groups help employees build stronger internal and external networks by planning social, educational, and outreach activities to connect with Appianites and larger initiatives throughout the company. About Appian Appian is a software company that automates business processes. The Appian AI-Powered Process Platform includes everything you need to design, automate, and optimize even the most complex processes, from start to finish. The world's most innovative organizations trust Appian to improve their workflows, unify data, and optimize operations-resulting in better growth and superior customer experiences. For more information, visit Nasdaq: APPN Follow Appian: LinkedIn. Appian is an equal opportunity employer that strives to attract and retain the best talent. All qualified applicants will receive consideration for employment without regard to any characteristic protected by applicable federal, state, or local law. Appian provides reasonable accommodations to applicants in accordance with all applicable laws. If you need a reasonable accommodation for any part of the employment process, please contact us by email at . Please note that only inquiries concerning a request for reasonable accommodation will be responded to from this email address. Appian's Applicant & Candidate Privacy Notice
Senior Machine Learning Engineer - Systems EvenUp is on a mission to close the justice gap using technology and AI. We empower personal injury lawyers and victims to get the justice they deserve. Our products enable law firms to secure faster settlements, higher payouts, and better outcomes for victims injured through no fault of their own in vehicle collisions, accidents, natural disasters, and more. EvenUp is one of the fastest growing vertical SaaS companies in history and is backed by top VCs including Bessemer Venture Partners, Bain Capital Ventures, SignalFire, and Lightspeed. We are looking to expand our team with talented, driven, and collaborative individuals who seek to have a lasting impact. Base pay range: $176,000 - $265,000 per year. Core Responsibilities Design and implement end to end ML systems for retrieval augmented generation (RAG), vector search, and fine tuning pipelines. Build and optimize data pipelines that integrate structured, unstructured, and embeddings based data into ML workflows. Develop frameworks and reusable components for data extraction, evaluation, and benchmarking of LLMs and other models. Collaborate with data scientists and product teams to translate business problems into ML system designs. Research, prototype, and productionize state of the art techniques in semantic search, embeddings, and prompt engineering. Implement evaluation strategies for ML systems, including relevance metrics, quality scores, and human in the loop workflows. Ensure scalability and efficiency of ML workflows, including large scale embedding generation and retrieval pipelines. Work with machine learning platform engineers to integrate ML frameworks into production environments. Document system architectures and create internal best practices for building ML/AI frameworks. Optional Skills Experience with vector databases (e.g., Pinecone, Weaviate, FAISS, Milvus, Elasticsearch/OpenSearch). Familiarity with retrieval frameworks (LangChain, LlamaIndex, custom retrieval pipelines). Strong software engineering skills (Python, distributed computing, APIs). Strong knowledge of transformer models (LLMs, embeddings, fine tuning methods like LoRA, PEFT). Understanding of evaluation methodologies for generative AI (RAG benchmarks, hallucination reduction, factual grounding). Notice to Candidates EvenUp has been made aware of fraudulent job postings and unaffiliated third parties posing as our recruiting team. We only post open roles on our career page () or reputable job boards. All official EvenUp recruitment emails will come from the no , or no . We do not accept resumes or expressions of interest via email or social media messages. If you're interested in a role, please submit your application directly through our careers page. If you receive communication from someone you believe is impersonating EvenUp, please report it to talent ops . Examples of fraudulent domains include "careers " and "careers ". Benefits & Perks Choice of medical, dental, and vision insurance plans for you and your family Additional insurance coverage options for life, accident, or critical illness Flexible paid time off, sick leave, short term and long term disability 10 US observed holidays and Canadian statutory holidays by province A home office stipend 401(k) for US based employees and RRSP for Canada based employees Paid parental leave A local in person meet up program Hubs in San Francisco and Toronto Equal Opportunity Statement EvenUp is an equal opportunity employer. We are committed to diversity and inclusion. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Position Details Seniority level: Mid Senior level Employment type: Full time Job function: Engineering and Information Technology Industries: Technology, Information and Internet
04/05/2026
Full time
Senior Machine Learning Engineer - Systems EvenUp is on a mission to close the justice gap using technology and AI. We empower personal injury lawyers and victims to get the justice they deserve. Our products enable law firms to secure faster settlements, higher payouts, and better outcomes for victims injured through no fault of their own in vehicle collisions, accidents, natural disasters, and more. EvenUp is one of the fastest growing vertical SaaS companies in history and is backed by top VCs including Bessemer Venture Partners, Bain Capital Ventures, SignalFire, and Lightspeed. We are looking to expand our team with talented, driven, and collaborative individuals who seek to have a lasting impact. Base pay range: $176,000 - $265,000 per year. Core Responsibilities Design and implement end to end ML systems for retrieval augmented generation (RAG), vector search, and fine tuning pipelines. Build and optimize data pipelines that integrate structured, unstructured, and embeddings based data into ML workflows. Develop frameworks and reusable components for data extraction, evaluation, and benchmarking of LLMs and other models. Collaborate with data scientists and product teams to translate business problems into ML system designs. Research, prototype, and productionize state of the art techniques in semantic search, embeddings, and prompt engineering. Implement evaluation strategies for ML systems, including relevance metrics, quality scores, and human in the loop workflows. Ensure scalability and efficiency of ML workflows, including large scale embedding generation and retrieval pipelines. Work with machine learning platform engineers to integrate ML frameworks into production environments. Document system architectures and create internal best practices for building ML/AI frameworks. Optional Skills Experience with vector databases (e.g., Pinecone, Weaviate, FAISS, Milvus, Elasticsearch/OpenSearch). Familiarity with retrieval frameworks (LangChain, LlamaIndex, custom retrieval pipelines). Strong software engineering skills (Python, distributed computing, APIs). Strong knowledge of transformer models (LLMs, embeddings, fine tuning methods like LoRA, PEFT). Understanding of evaluation methodologies for generative AI (RAG benchmarks, hallucination reduction, factual grounding). Notice to Candidates EvenUp has been made aware of fraudulent job postings and unaffiliated third parties posing as our recruiting team. We only post open roles on our career page () or reputable job boards. All official EvenUp recruitment emails will come from the no , or no . We do not accept resumes or expressions of interest via email or social media messages. If you're interested in a role, please submit your application directly through our careers page. If you receive communication from someone you believe is impersonating EvenUp, please report it to talent ops . Examples of fraudulent domains include "careers " and "careers ". Benefits & Perks Choice of medical, dental, and vision insurance plans for you and your family Additional insurance coverage options for life, accident, or critical illness Flexible paid time off, sick leave, short term and long term disability 10 US observed holidays and Canadian statutory holidays by province A home office stipend 401(k) for US based employees and RRSP for Canada based employees Paid parental leave A local in person meet up program Hubs in San Francisco and Toronto Equal Opportunity Statement EvenUp is an equal opportunity employer. We are committed to diversity and inclusion. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Position Details Seniority level: Mid Senior level Employment type: Full time Job function: Engineering and Information Technology Industries: Technology, Information and Internet
Join to apply for the Synthesis, Place & Route Distinguished Engineer role at Lattice Semiconductor 15 hours ago Be among the first 25 applicants Join to apply for the Synthesis, Place & Route Distinguished Engineer role at Lattice Semiconductor Lattice Overview There is energy here energy you can feel crackling at any of our international locations. It's an energy generated by enthusiasm for our work, for our teams, for our results, and for our customers. Lattice is a worldwide community of engineers, designers, and manufacturing operations specialists in partnership with world-class sales, marketing, and support teams, who are developing programmable logic solutions that are changing the industry. Our focus is on R&D, product innovation, and customer service, and to that focus, we bring total commitment and a keenly sharp competitive personality.Energy feeds on energy. If you flourish in a fast paced, results-oriented environment, if you want to achieve individual success within a "team first" organization, and if you believe you can contribute and succeed in a demanding yet collegial atmosphere, then Lattice may well be just what you're looking for. Lattice Overview There is energy here energy you can feel crackling at any of our international locations. It's an energy generated by enthusiasm for our work, for our teams, for our results, and for our customers. Lattice is a worldwide community of engineers, designers, and manufacturing operations specialists in partnership with world-class sales, marketing, and support teams, who are developing programmable logic solutions that are changing the industry. Our focus is on R&D, product innovation, and customer service, and to that focus, we bring total commitment and a keenly sharp competitive personality.Energy feeds on energy. If you flourish in a fast paced, results-oriented environment, if you want to achieve individual success within a "team first" organization, and if you believe you can contribute and succeed in a demanding yet collegial atmosphere, then Lattice may well be just what you're looking for. Responsibilities Responsibilities & Skills Develop new algorithms for Synthesis, Place and Route Architect software tool flow to achieve quality robustness and efficiency Optimize existing tools to achieve better Fmax, Area, Runtime and Memory usage Collaborate with cross functional teams to define next gen devices and technology Work with Sales, Marketing and Field Applications team to support innovation and customer adoption of our products Assist in management of customer escalations and support tickets Required Skills MS/PhD in Electrical Engineering or Computer Science or Computer Engineering 15+ years of industry experience in developing EDA tools Strong background and experience in data structures and algorithms Experience of logic design and EDA software is a must Proficient with C++ Knowledge in Verilog/VHDL is a plus Experience of FPGA tool development is a plus Experience of multi-processing development is a plus Strong written and verbal communication skills, and collaboration skill Must be able to work independently and also in a team environment Strong analytical and problem solving skills Ability to work in a fast paced environment, prioritize appropriately and manage competing priorities Benefits The base pay for this role is between $240,000 to $300,000 per year. In addition to base salary, we offer an incentive plan bonus and new hire equity for a competitive total compensation package. Lattice recognizes that employees are its greatest asset and the driving force behind success in a highly competitive, global industry. Lattice continually strives to provide a comprehensive compensation and benefits program to attract, retain, motivate, reward and celebrate the highest caliber employees in the industry. Lattice is an international, service-driven developer of innovative low cost, low power programmable design solutions. Our global workforce shares a total commitment to customer success and an unbending will to win. For more information about how our FPGA , CPLD and programmable power management devices help our customers unlock their innovation, visit . You can also follow us via Twitter , Facebook , or RSS . At Lattice, we value the diversity of individuals, ideas, perspectives, insights and values, and what they bring to the workplace. Applications are welcome from all qualified candidates. Lattice Feel the energy.Seniority level Seniority levelMid-Senior level Employment type Employment typeFull-time Job function Job functionEngineering and Information Technology IndustriesSemiconductor Manufacturing Referrals increase your chances of interviewing at Lattice Semiconductor by 2x Sign in to set job alerts for "Distinguished Engineer" roles.Distinguished Software Engineer- RUCKUS EdgeDistinguished Software Engineer- RUCKUS EdgeVice President of Engineering / Bilingual Mandarin San Jose, CA $250,000.00-$300,000.00 2 weeks ago Chief Development Officer (CDO)/VP of Engineering San Jose, CA $279,200.00-$383,900.00 2 weeks ago Mountain View, CA $327,200.00-$400,000.00 1 week ago San Jose, CA $236,800.00-$296,000.00 1 day ago Distinguished Engineer - Optical System ArchitectDistinguished Software Engineer - Machine LearningDistinguished Software Engineer - Ads AIDistinguished Engineer, Demand and Capacity PlanningDistinguished Planning Machine Learning Engineer - Autonomous VehiclesAssociate/ Assistant Systems Design Engineer Sunnyvale, CA $169,000.00-$338,000.00 1 day ago Distinguished Engineer - Data Center System Software ArchitectDistinguished Engineer - Data Center System Software ArchitectDistinguished Systems Software Engineer, Graphics Delivery Network PlatformSenior Distinguished I, Software Engineer - Transactional Systems Revenue and Data Intelligence Sunnyvale, CA $208,000.00-$416,000.00 5 days ago Software Development Engineer, EC2 Instance NetworkingSenior Distinguished Engineer - CEP Experimentation and Feature Management Platform (Remote Eligible) We're unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
04/05/2026
Full time
Join to apply for the Synthesis, Place & Route Distinguished Engineer role at Lattice Semiconductor 15 hours ago Be among the first 25 applicants Join to apply for the Synthesis, Place & Route Distinguished Engineer role at Lattice Semiconductor Lattice Overview There is energy here energy you can feel crackling at any of our international locations. It's an energy generated by enthusiasm for our work, for our teams, for our results, and for our customers. Lattice is a worldwide community of engineers, designers, and manufacturing operations specialists in partnership with world-class sales, marketing, and support teams, who are developing programmable logic solutions that are changing the industry. Our focus is on R&D, product innovation, and customer service, and to that focus, we bring total commitment and a keenly sharp competitive personality.Energy feeds on energy. If you flourish in a fast paced, results-oriented environment, if you want to achieve individual success within a "team first" organization, and if you believe you can contribute and succeed in a demanding yet collegial atmosphere, then Lattice may well be just what you're looking for. Lattice Overview There is energy here energy you can feel crackling at any of our international locations. It's an energy generated by enthusiasm for our work, for our teams, for our results, and for our customers. Lattice is a worldwide community of engineers, designers, and manufacturing operations specialists in partnership with world-class sales, marketing, and support teams, who are developing programmable logic solutions that are changing the industry. Our focus is on R&D, product innovation, and customer service, and to that focus, we bring total commitment and a keenly sharp competitive personality.Energy feeds on energy. If you flourish in a fast paced, results-oriented environment, if you want to achieve individual success within a "team first" organization, and if you believe you can contribute and succeed in a demanding yet collegial atmosphere, then Lattice may well be just what you're looking for. Responsibilities Responsibilities & Skills Develop new algorithms for Synthesis, Place and Route Architect software tool flow to achieve quality robustness and efficiency Optimize existing tools to achieve better Fmax, Area, Runtime and Memory usage Collaborate with cross functional teams to define next gen devices and technology Work with Sales, Marketing and Field Applications team to support innovation and customer adoption of our products Assist in management of customer escalations and support tickets Required Skills MS/PhD in Electrical Engineering or Computer Science or Computer Engineering 15+ years of industry experience in developing EDA tools Strong background and experience in data structures and algorithms Experience of logic design and EDA software is a must Proficient with C++ Knowledge in Verilog/VHDL is a plus Experience of FPGA tool development is a plus Experience of multi-processing development is a plus Strong written and verbal communication skills, and collaboration skill Must be able to work independently and also in a team environment Strong analytical and problem solving skills Ability to work in a fast paced environment, prioritize appropriately and manage competing priorities Benefits The base pay for this role is between $240,000 to $300,000 per year. In addition to base salary, we offer an incentive plan bonus and new hire equity for a competitive total compensation package. Lattice recognizes that employees are its greatest asset and the driving force behind success in a highly competitive, global industry. Lattice continually strives to provide a comprehensive compensation and benefits program to attract, retain, motivate, reward and celebrate the highest caliber employees in the industry. Lattice is an international, service-driven developer of innovative low cost, low power programmable design solutions. Our global workforce shares a total commitment to customer success and an unbending will to win. For more information about how our FPGA , CPLD and programmable power management devices help our customers unlock their innovation, visit . You can also follow us via Twitter , Facebook , or RSS . At Lattice, we value the diversity of individuals, ideas, perspectives, insights and values, and what they bring to the workplace. Applications are welcome from all qualified candidates. Lattice Feel the energy.Seniority level Seniority levelMid-Senior level Employment type Employment typeFull-time Job function Job functionEngineering and Information Technology IndustriesSemiconductor Manufacturing Referrals increase your chances of interviewing at Lattice Semiconductor by 2x Sign in to set job alerts for "Distinguished Engineer" roles.Distinguished Software Engineer- RUCKUS EdgeDistinguished Software Engineer- RUCKUS EdgeVice President of Engineering / Bilingual Mandarin San Jose, CA $250,000.00-$300,000.00 2 weeks ago Chief Development Officer (CDO)/VP of Engineering San Jose, CA $279,200.00-$383,900.00 2 weeks ago Mountain View, CA $327,200.00-$400,000.00 1 week ago San Jose, CA $236,800.00-$296,000.00 1 day ago Distinguished Engineer - Optical System ArchitectDistinguished Software Engineer - Machine LearningDistinguished Software Engineer - Ads AIDistinguished Engineer, Demand and Capacity PlanningDistinguished Planning Machine Learning Engineer - Autonomous VehiclesAssociate/ Assistant Systems Design Engineer Sunnyvale, CA $169,000.00-$338,000.00 1 day ago Distinguished Engineer - Data Center System Software ArchitectDistinguished Engineer - Data Center System Software ArchitectDistinguished Systems Software Engineer, Graphics Delivery Network PlatformSenior Distinguished I, Software Engineer - Transactional Systems Revenue and Data Intelligence Sunnyvale, CA $208,000.00-$416,000.00 5 days ago Software Development Engineer, EC2 Instance NetworkingSenior Distinguished Engineer - CEP Experimentation and Feature Management Platform (Remote Eligible) We're unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
Overview Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver -to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. Software Engineering builds the brains of Waymo's fully autonomous driving technology. Our software allows the Waymo Driver to perceive the world around it, make the right decision for every situation, and deliver people safely to their destinations. We think deeply and solve complex technical challenges in areas like robotics, perception, decision-making and deep learning, while collaborating with hardware and systems engineers. If you're a software engineer or researcher who's curious and passionate about Level 4 autonomous driving, we'd like to meet you. Every mile driven by a Waymo car is a unique and valuable piece of data that can be leveraged into improving our machine learning models, and ultimately the safety and capabilities of the Waymo Driver. Charting the path from collection of a piece of data, to curation, (auto-)labeling, model training and evaluation, all the way to model deployment and monitoring is a process of continuous scaling and quality improvement of the entire ML lifecycle. The Area Technical Lead for the Waymo machine learning flywheel is responsible for architecting, connecting, automating and improving the entire span of this self-improvement process in close collaboration with Waymo's infrastructure, modeling and evaluation teams. They are directly accountable to Waymo's leadership for the organization's ML data strategy and its impact on Driver quality. You will report directly to our Distinguished Engineer, Foundation Models. Responsibilities Architect a path towards every autonomous mile driven by a Waymo car to be automatically incorporated into an automated data-driven self-improvement loop for the Waymo Driver. Enable a data flywheel to serve the demands of scalable pre-training, post-training targeted to relevant critical behaviors, as well as Driver simulation and validation. Enable a modeling flywheel to efficiently consume that data to reliably generate updated models that are validated and deployable with minimal human toil. Coordinate cross-functional efforts in partnership with data and ML infrastructure teams, resource planning, logging infrastructure, modeling and validation teams to accelerate the velocity, impact and leverage of driving data on the Waymo Driver. Act as the steward of data quality, by providing tooling and metrics to evaluate the impact of mining, selection and curation on the modeling pipeline performance. Articulate the strategy for incorporating diverse data sources, including third-party and synthetic data into that improvement flywheel. Drive innovation across all axes of performance and efficiency, from Driver quality, to scalability, cost, engineering velocity, model architecture and performance. Qualifications Master's degree or PhD in Computer Science, Engineering, or a related technical field 10+ years of experience in ML model development, and you have 2+ years experience with large-scale vision, video, or multi-modal foundation model development and their integration in end-to-end models 6+ years of experience in ML-driven production systems that develops models with large-scale data, training, evaluation, and deployment 6+ years of experience in a technical leadership role leading technical teams and setting technical directions in large ML Engineering organizations Demonstrated expertise in large-scale machine learning and its key components: pre-training, post-training, and validation. Deep understanding of both infrastructure and quality aspects. Track record of architecting and standing up a machine learning flywheel at scale for mission critical applications. Experience with driving model quality improvements through systematic data scaling and curation. Communication and interpersonal skills. Ability to inspire, influence and coordinate across functions and disciplines. We Prefer PhD in computer science. Experience in multi-modal LLM model development, and their infrastructure. Familiarity with multi-task, end-to-end models and their development challenges. The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process. Waymo employees are also eligible to participate in Waymo's discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $332,000-$421,000 USD
04/05/2026
Full time
Overview Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver -to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. Software Engineering builds the brains of Waymo's fully autonomous driving technology. Our software allows the Waymo Driver to perceive the world around it, make the right decision for every situation, and deliver people safely to their destinations. We think deeply and solve complex technical challenges in areas like robotics, perception, decision-making and deep learning, while collaborating with hardware and systems engineers. If you're a software engineer or researcher who's curious and passionate about Level 4 autonomous driving, we'd like to meet you. Every mile driven by a Waymo car is a unique and valuable piece of data that can be leveraged into improving our machine learning models, and ultimately the safety and capabilities of the Waymo Driver. Charting the path from collection of a piece of data, to curation, (auto-)labeling, model training and evaluation, all the way to model deployment and monitoring is a process of continuous scaling and quality improvement of the entire ML lifecycle. The Area Technical Lead for the Waymo machine learning flywheel is responsible for architecting, connecting, automating and improving the entire span of this self-improvement process in close collaboration with Waymo's infrastructure, modeling and evaluation teams. They are directly accountable to Waymo's leadership for the organization's ML data strategy and its impact on Driver quality. You will report directly to our Distinguished Engineer, Foundation Models. Responsibilities Architect a path towards every autonomous mile driven by a Waymo car to be automatically incorporated into an automated data-driven self-improvement loop for the Waymo Driver. Enable a data flywheel to serve the demands of scalable pre-training, post-training targeted to relevant critical behaviors, as well as Driver simulation and validation. Enable a modeling flywheel to efficiently consume that data to reliably generate updated models that are validated and deployable with minimal human toil. Coordinate cross-functional efforts in partnership with data and ML infrastructure teams, resource planning, logging infrastructure, modeling and validation teams to accelerate the velocity, impact and leverage of driving data on the Waymo Driver. Act as the steward of data quality, by providing tooling and metrics to evaluate the impact of mining, selection and curation on the modeling pipeline performance. Articulate the strategy for incorporating diverse data sources, including third-party and synthetic data into that improvement flywheel. Drive innovation across all axes of performance and efficiency, from Driver quality, to scalability, cost, engineering velocity, model architecture and performance. Qualifications Master's degree or PhD in Computer Science, Engineering, or a related technical field 10+ years of experience in ML model development, and you have 2+ years experience with large-scale vision, video, or multi-modal foundation model development and their integration in end-to-end models 6+ years of experience in ML-driven production systems that develops models with large-scale data, training, evaluation, and deployment 6+ years of experience in a technical leadership role leading technical teams and setting technical directions in large ML Engineering organizations Demonstrated expertise in large-scale machine learning and its key components: pre-training, post-training, and validation. Deep understanding of both infrastructure and quality aspects. Track record of architecting and standing up a machine learning flywheel at scale for mission critical applications. Experience with driving model quality improvements through systematic data scaling and curation. Communication and interpersonal skills. Ability to inspire, influence and coordinate across functions and disciplines. We Prefer PhD in computer science. Experience in multi-modal LLM model development, and their infrastructure. Familiarity with multi-task, end-to-end models and their development challenges. The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process. Waymo employees are also eligible to participate in Waymo's discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $332,000-$421,000 USD
Base pay range $74.04/yr - $217,000.00/yr Responsibilities Collaborate with cross functional teams (product, design, operations, infrastructure) to build innovative application experiences Implement custom user interfaces using latest programming techniques and technologies Develop reusable software components for interfacing with back end platforms Analyze and optimize code for quality, efficiency, and performance Lead complex technical or product efforts and provide technical guidance to peers Architect efficient and scalable systems that drive complex applications Identify and resolve performance and scalability issues Work on a variety of coding languages and technologies Establish ownership of components, features, or systems with expert end to end understanding Minimum Qualifications Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience 6+ years of programming experience in a relevant language or 3+ years of experience + PhD Track record of setting technical direction for a team, driving consensus and successful cross functional partnerships Experience building maintainable and testable code bases, including API design and unit testing techniques Preferred Qualifications 2+ years of experience in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining, artificial intelligence, or a related technical field Experience with developing machine learning models at scale from inception to business impact Knowledge developing and debugging in C/C++ and Java Experience building and shipping high quality work and achieving high reliability Experience improving quality through thoughtful code reviews, appropriate testing, proper rollout, monitoring, and proactive changes Exposure to architectural patterns of large scale software applications Experience with scripting languages such as PyTorch, TensorFlow, Python, JavaScript or Hack About Meta Meta builds technologies that help people connect, find communities, and grow businesses. Apps like Messenger, Instagram and WhatsApp empowered billions around the world. Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality, helping shape the next evolution in social technology. Meta is proud to be an Equal Employment Opportunity and affirmative action employer. We do not discriminate based upon race, religion, color, national origin, sex, sexual orientation, gender, or other legally protected characteristics. Meta participates in the E Verify program in certain locations, as required by law. Seniority level Not Applicable Employment type Full time Job function Engineering and Information Technology - Technology, Information and Internet $74.04/hour to $217,000/year + bonus + equity + benefits. Individual compensation is determined by skills, qualifications, experience, and location.
04/05/2026
Full time
Base pay range $74.04/yr - $217,000.00/yr Responsibilities Collaborate with cross functional teams (product, design, operations, infrastructure) to build innovative application experiences Implement custom user interfaces using latest programming techniques and technologies Develop reusable software components for interfacing with back end platforms Analyze and optimize code for quality, efficiency, and performance Lead complex technical or product efforts and provide technical guidance to peers Architect efficient and scalable systems that drive complex applications Identify and resolve performance and scalability issues Work on a variety of coding languages and technologies Establish ownership of components, features, or systems with expert end to end understanding Minimum Qualifications Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience 6+ years of programming experience in a relevant language or 3+ years of experience + PhD Track record of setting technical direction for a team, driving consensus and successful cross functional partnerships Experience building maintainable and testable code bases, including API design and unit testing techniques Preferred Qualifications 2+ years of experience in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining, artificial intelligence, or a related technical field Experience with developing machine learning models at scale from inception to business impact Knowledge developing and debugging in C/C++ and Java Experience building and shipping high quality work and achieving high reliability Experience improving quality through thoughtful code reviews, appropriate testing, proper rollout, monitoring, and proactive changes Exposure to architectural patterns of large scale software applications Experience with scripting languages such as PyTorch, TensorFlow, Python, JavaScript or Hack About Meta Meta builds technologies that help people connect, find communities, and grow businesses. Apps like Messenger, Instagram and WhatsApp empowered billions around the world. Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality, helping shape the next evolution in social technology. Meta is proud to be an Equal Employment Opportunity and affirmative action employer. We do not discriminate based upon race, religion, color, national origin, sex, sexual orientation, gender, or other legally protected characteristics. Meta participates in the E Verify program in certain locations, as required by law. Seniority level Not Applicable Employment type Full time Job function Engineering and Information Technology - Technology, Information and Internet $74.04/hour to $217,000/year + bonus + equity + benefits. Individual compensation is determined by skills, qualifications, experience, and location.
Economic Mobility Center Dallas, Texas (Hybrid, with regional and national engagement) About the Economic Mobility Center The Economic Mobility Center (EMC) is a mission-driven non-profit that was formed by the Commit Partnership and Dallas College that is committed to transforming regional systems to ensure more young people - particularly those historically underserved - navigate successful journeys from middle school through post-secondary education into sustainable-wage careers. EMC is the umbrella non-profit where both the Dallas County Promise and Economic Mobility Systems (EMS) operate. We serve as a workforce intermediary inside Dallas County, aligning K-12, higher education, employers, and community partners to close equity gaps and accelerate economic mobility while running the Dallas County Promise. Outside Dallas County we serve to support other intermediaries and partners in developing and executing their regional talent systems that support student success. Position Summary The Chief Strategy and Product Officer (CSPO) will serve as a key executive leader, reporting to the CEO, responsible for driving the Center's overall product vision, technology roadmap, data strategy, and analytics initiatives. This role is pivotal in positioning the Economic Mobility Center as a premier regional workforce intermediary, developing tools and strategies that enable Dallas and other communities to own the full student journey from middle school to meaningful employment. As a critical partner to the CEO and Board-and in close collaboration with the COO and Chief Program Officer-the CSPO will lead the integration of technology and data into the Center's strategic initiatives, ensuring we meet the evolving needs of students, families, educators, and workforce partners. Key Responsibilities Lead the strategic development and execution of the Center's product, technology, data, and analytics agenda, aligned to our mission of improving student-to-career outcomes. Oversee cross-functional teams encompassing product management, technology development, analytics, and data systems. Serve as a key member of the executive leadership team, contributing to organizational strategy, partnerships, and funding growth. Product & Technology Leadership Shape the long-term product strategy including our Salesforce-centered architecture and the evolution of a student & family experience app that supports the full educational and career lifecycle. Ensure product design is informed by user research and co-creation with students, families, educators, and employers. Oversee development, maintenance, and scaling of technology platforms that connect disparate systems into a seamless ecosystem of support. Regional Data Strategy & Hub Leadership Lead the design, development, and governance of a regional data hub, integrating data across K-12, higher education, workforce, and employer systems. Drive data-sharing agreements and technical infrastructure that enable secure, interoperable, real-time and longitudinal data flows. Ensure data architecture supports sophisticated analytics, predictive models, and dashboards that provide actionable insights to students, families, counselors, and administrators. Analytics & Insight Generation Build an advanced analytics strategy that empowers regional partners to understand and respond to student needs across the middle school-to-career continuum. Develop tools and dashboards that give students, staff, and leaders historical and real-time visibility into progress and interventions. External Partnerships & Systems Engagement Serve as a credible and strategic thought partner to CTOs and CIOs of school districts, higher education institutions, and workforce organizations, translating complex technical concepts into aligned regional action. Represent the Economic Mobility Center in local, state, and national convenings on data interoperability, student success technology, and workforce innovation. Ideal Candidate Profile 10+ years in education technology or data systems leadership, ideally with Chief Product Officer or equivalent experience in an ed tech, workforce, or public sector innovation environment. Demonstrated success owning the full product lifecycle-from discovery and user research through development, launch, and continuous iteration-grounded in clear product vision and measurable outcomes. Deep technical fluency in data integration, regional data hubs, and system interoperability, especially across K-12, postsecondary, and workforce datasets. Experience leading engineering teams or overseeing large software system builds. Familiarity with API management, cloud infrastructure, cybersecurity best practices, or agile/DevOps environments. Track record of building and scaling products on platforms like Salesforce, and designing compelling digital experiences for diverse user groups (students, families, educators). Significant experience collaborating with public systems leaders (school district CIOs/CTOs, higher education data leaders, workforce board data/tech leaders). Master's degree in relevant field Visionary product strategist with a user-centered mindset and expertise in building products that drive equitable outcomes. Strong technical communication skills - able to connect technical architectures to on-the-ground needs, and build trust with engineers and policy executives alike. Proficiency in advanced analytics concepts, including predictive models and data visualization. A collaborative, humble leader who thrives in cross-sector environments and is deeply committed to improving economic mobility. Why Join Us? This is an opportunity to help redefine how communities support young people from middle school all the way into meaningful, sustaining careers. As Chief Strategy and Product Officer, you'll shape the future of regional data and technology infrastructure, ensuring more students have the guidance and support they need to succeed. Competitive benefits package, including: Competitive salary (commensurate with experience) Bonus opportunity 15 days of Paid time off 14 paid holidays 403(b) retirement plan with company match. Health, dental, and vision insurance. Flexible spending accounts FSA and HSA. Hybrid work schedule based in Dallas, TX (75247)
04/05/2026
Full time
Economic Mobility Center Dallas, Texas (Hybrid, with regional and national engagement) About the Economic Mobility Center The Economic Mobility Center (EMC) is a mission-driven non-profit that was formed by the Commit Partnership and Dallas College that is committed to transforming regional systems to ensure more young people - particularly those historically underserved - navigate successful journeys from middle school through post-secondary education into sustainable-wage careers. EMC is the umbrella non-profit where both the Dallas County Promise and Economic Mobility Systems (EMS) operate. We serve as a workforce intermediary inside Dallas County, aligning K-12, higher education, employers, and community partners to close equity gaps and accelerate economic mobility while running the Dallas County Promise. Outside Dallas County we serve to support other intermediaries and partners in developing and executing their regional talent systems that support student success. Position Summary The Chief Strategy and Product Officer (CSPO) will serve as a key executive leader, reporting to the CEO, responsible for driving the Center's overall product vision, technology roadmap, data strategy, and analytics initiatives. This role is pivotal in positioning the Economic Mobility Center as a premier regional workforce intermediary, developing tools and strategies that enable Dallas and other communities to own the full student journey from middle school to meaningful employment. As a critical partner to the CEO and Board-and in close collaboration with the COO and Chief Program Officer-the CSPO will lead the integration of technology and data into the Center's strategic initiatives, ensuring we meet the evolving needs of students, families, educators, and workforce partners. Key Responsibilities Lead the strategic development and execution of the Center's product, technology, data, and analytics agenda, aligned to our mission of improving student-to-career outcomes. Oversee cross-functional teams encompassing product management, technology development, analytics, and data systems. Serve as a key member of the executive leadership team, contributing to organizational strategy, partnerships, and funding growth. Product & Technology Leadership Shape the long-term product strategy including our Salesforce-centered architecture and the evolution of a student & family experience app that supports the full educational and career lifecycle. Ensure product design is informed by user research and co-creation with students, families, educators, and employers. Oversee development, maintenance, and scaling of technology platforms that connect disparate systems into a seamless ecosystem of support. Regional Data Strategy & Hub Leadership Lead the design, development, and governance of a regional data hub, integrating data across K-12, higher education, workforce, and employer systems. Drive data-sharing agreements and technical infrastructure that enable secure, interoperable, real-time and longitudinal data flows. Ensure data architecture supports sophisticated analytics, predictive models, and dashboards that provide actionable insights to students, families, counselors, and administrators. Analytics & Insight Generation Build an advanced analytics strategy that empowers regional partners to understand and respond to student needs across the middle school-to-career continuum. Develop tools and dashboards that give students, staff, and leaders historical and real-time visibility into progress and interventions. External Partnerships & Systems Engagement Serve as a credible and strategic thought partner to CTOs and CIOs of school districts, higher education institutions, and workforce organizations, translating complex technical concepts into aligned regional action. Represent the Economic Mobility Center in local, state, and national convenings on data interoperability, student success technology, and workforce innovation. Ideal Candidate Profile 10+ years in education technology or data systems leadership, ideally with Chief Product Officer or equivalent experience in an ed tech, workforce, or public sector innovation environment. Demonstrated success owning the full product lifecycle-from discovery and user research through development, launch, and continuous iteration-grounded in clear product vision and measurable outcomes. Deep technical fluency in data integration, regional data hubs, and system interoperability, especially across K-12, postsecondary, and workforce datasets. Experience leading engineering teams or overseeing large software system builds. Familiarity with API management, cloud infrastructure, cybersecurity best practices, or agile/DevOps environments. Track record of building and scaling products on platforms like Salesforce, and designing compelling digital experiences for diverse user groups (students, families, educators). Significant experience collaborating with public systems leaders (school district CIOs/CTOs, higher education data leaders, workforce board data/tech leaders). Master's degree in relevant field Visionary product strategist with a user-centered mindset and expertise in building products that drive equitable outcomes. Strong technical communication skills - able to connect technical architectures to on-the-ground needs, and build trust with engineers and policy executives alike. Proficiency in advanced analytics concepts, including predictive models and data visualization. A collaborative, humble leader who thrives in cross-sector environments and is deeply committed to improving economic mobility. Why Join Us? This is an opportunity to help redefine how communities support young people from middle school all the way into meaningful, sustaining careers. As Chief Strategy and Product Officer, you'll shape the future of regional data and technology infrastructure, ensuring more students have the guidance and support they need to succeed. Competitive benefits package, including: Competitive salary (commensurate with experience) Bonus opportunity 15 days of Paid time off 14 paid holidays 403(b) retirement plan with company match. Health, dental, and vision insurance. Flexible spending accounts FSA and HSA. Hybrid work schedule based in Dallas, TX (75247)
Overview Coupa makes margins multiply through its community-generated AI and industry-leading total spend management platform for businesses large and small. Coupa AI is informed by trillions of dollars of direct and indirect spend data across a global network of 10M+ buyers and suppliers. We empower you with the ability to predict, prescribe, and automate smarter, more profitable business decisions to improve operating margins. Why join Coupa? Pioneering Technology: At Coupa, we're at the forefront of innovation, leveraging the latest technology to empower our customers with greater efficiency and visibility in their spend. Collaborative Culture: We value collaboration and teamwork, and our culture is driven by transparency, openness, and a shared commitment to excellence. Global Impact: Join a company where your work has a global, measurable impact on our clients, the business, and each other. Learn more on Life at Coupa blog and hear from our employees about their experiences working at Coupa. Role Summary The Impact of a Sr. Lead Platform Engineer at Coupa: At a technical level your development team will offer application and infrastructure support for customer environments. You'll have the opportunity to collaborate across software products with engineers all over the company and globe to plan and deploy product releases. We are looking for an extremely talented Sr Lead Software Engineer to join our Technology Platform Team. You will be part of a global agile group that is responsible for building the best in class SaaS platform, deployment infrastructure, and services. The position will require a candidate to design, develop, maintain, and scale Coupa's platform systems, services, and operational automation. Our main languages are Ruby and Go, and we expect you to be able to contribute in either. What You'll Do Act as a hands-on contributor, designing, developing, maintaining, and scaling Coupa's platform systems and services Build reusable microservices, platform components, and frameworks to support standardized data flows (APIs, files, message queues) Participate in architectural planning, code reviews, and operational design to ensure high-quality, scalable solutions Promote engineering best practices including unit testing, automation, and clean code principles Collaborate closely with other teams to simplify deployment, operations, and integration of platform components Drive continuous improvement by identifying and implementing enhancements to the platform, processes, and overall business What You Will Bring to Coupa 7+ years of software development experience, with at least 4 years as a Senior Software Engineer Proficient in modern MVC web frameworks, especially Ruby on Rails, and programming languages like Ruby and Go Hands-on experience with cloud-native architecture and technologies such as Kubernetes, AWS EC2, and similar elastic cloud platforms Skilled in working with SQL and NoSQL databases (MySQL, Redis, MongoDB) and high-throughput messaging systems like Kafka or Resque Strong understanding of software development best practices, design patterns, and agile methodologies (Scrum preferred) Self-motivated with excellent communication skills and a Bachelor's degree in Computer Science or equivalent experience Extra considerations Experience managing and enhancing CI/CD pipeline software/tools, such as Jenkins Experience with Docker Compensation and Benefits The estimated pay range for this role is $167,025 - $241,000. The starting salary for the successful candidate will be based on permissible, non-discriminatory factors such as skills, experience, and geographic location. Coupa complies with relevant laws and regulations regarding equal opportunity and offers a welcoming and inclusive work environment. Decisions related to hiring, compensation, training, or evaluating performance are made fairly, and we provide equal employment opportunities to all qualified candidates and employees. Please be advised that inquiries or resumes from recruiters will not be accepted. Compliance and Privacy By submitting your application, you acknowledge that you have read Coupa's Privacy Policy and understand that Coupa receives/collects your application, including your personal data, for the purposes of managing Coupa's ongoing recruitment and placement activities, including for employment purposes in the event of a successful application and for notification of future job opportunities if you did not succeed the first time. Details about data processing and retention are described in our Privacy Policy. Job Details Seniority level: Not Applicable Employment type: Full-time Job function: Finance and Consulting Industries: Financial Services and Hospitals and Health Care Referrals increase your chances of interviewing at Coupa by 2x We're unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
04/05/2026
Full time
Overview Coupa makes margins multiply through its community-generated AI and industry-leading total spend management platform for businesses large and small. Coupa AI is informed by trillions of dollars of direct and indirect spend data across a global network of 10M+ buyers and suppliers. We empower you with the ability to predict, prescribe, and automate smarter, more profitable business decisions to improve operating margins. Why join Coupa? Pioneering Technology: At Coupa, we're at the forefront of innovation, leveraging the latest technology to empower our customers with greater efficiency and visibility in their spend. Collaborative Culture: We value collaboration and teamwork, and our culture is driven by transparency, openness, and a shared commitment to excellence. Global Impact: Join a company where your work has a global, measurable impact on our clients, the business, and each other. Learn more on Life at Coupa blog and hear from our employees about their experiences working at Coupa. Role Summary The Impact of a Sr. Lead Platform Engineer at Coupa: At a technical level your development team will offer application and infrastructure support for customer environments. You'll have the opportunity to collaborate across software products with engineers all over the company and globe to plan and deploy product releases. We are looking for an extremely talented Sr Lead Software Engineer to join our Technology Platform Team. You will be part of a global agile group that is responsible for building the best in class SaaS platform, deployment infrastructure, and services. The position will require a candidate to design, develop, maintain, and scale Coupa's platform systems, services, and operational automation. Our main languages are Ruby and Go, and we expect you to be able to contribute in either. What You'll Do Act as a hands-on contributor, designing, developing, maintaining, and scaling Coupa's platform systems and services Build reusable microservices, platform components, and frameworks to support standardized data flows (APIs, files, message queues) Participate in architectural planning, code reviews, and operational design to ensure high-quality, scalable solutions Promote engineering best practices including unit testing, automation, and clean code principles Collaborate closely with other teams to simplify deployment, operations, and integration of platform components Drive continuous improvement by identifying and implementing enhancements to the platform, processes, and overall business What You Will Bring to Coupa 7+ years of software development experience, with at least 4 years as a Senior Software Engineer Proficient in modern MVC web frameworks, especially Ruby on Rails, and programming languages like Ruby and Go Hands-on experience with cloud-native architecture and technologies such as Kubernetes, AWS EC2, and similar elastic cloud platforms Skilled in working with SQL and NoSQL databases (MySQL, Redis, MongoDB) and high-throughput messaging systems like Kafka or Resque Strong understanding of software development best practices, design patterns, and agile methodologies (Scrum preferred) Self-motivated with excellent communication skills and a Bachelor's degree in Computer Science or equivalent experience Extra considerations Experience managing and enhancing CI/CD pipeline software/tools, such as Jenkins Experience with Docker Compensation and Benefits The estimated pay range for this role is $167,025 - $241,000. The starting salary for the successful candidate will be based on permissible, non-discriminatory factors such as skills, experience, and geographic location. Coupa complies with relevant laws and regulations regarding equal opportunity and offers a welcoming and inclusive work environment. Decisions related to hiring, compensation, training, or evaluating performance are made fairly, and we provide equal employment opportunities to all qualified candidates and employees. Please be advised that inquiries or resumes from recruiters will not be accepted. Compliance and Privacy By submitting your application, you acknowledge that you have read Coupa's Privacy Policy and understand that Coupa receives/collects your application, including your personal data, for the purposes of managing Coupa's ongoing recruitment and placement activities, including for employment purposes in the event of a successful application and for notification of future job opportunities if you did not succeed the first time. Details about data processing and retention are described in our Privacy Policy. Job Details Seniority level: Not Applicable Employment type: Full-time Job function: Finance and Consulting Industries: Financial Services and Hospitals and Health Care Referrals increase your chances of interviewing at Coupa by 2x We're unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
Direct message the job poster from HireCapital Technical Recruiter placing talent at innovative and mission-driven organizations Title: Security Engineer Job Type: Permanent Company Overview: Our client is a rapidly growing technology firm operating at the intersection of global security and advanced infrastructure protection. They support mission-critical systems through innovative software and hardware deployments and are expanding their cybersecurity capabilities to meet increasing demand. The company offers a collaborative, high-impact environment where engineers can directly influence strategic security outcomes. Role Summary: We're seeking a hands-on Security Engineer to lead cyber threat detection and response initiatives across cloud and on-prem environments. This role is focused solely on cybersecurity-not compliance-and is critical to maturing the organization's defensive posture. You'll work closely with technology stakeholders to respond to security events, deploy modern endpoint and detection solutions, and help shape a growing function. This is a prime opportunity for someone who wants to build and own a cybersecurity function within a supportive, fast-paced team. Responsibilities: Lead cyber incident response efforts, including triage, containment, root cause analysis, and remediation Implement and manage endpoint detection and response (EDR/XDR) technologies across the enterprise Conduct vulnerability scanning and support penetration testing to uncover and resolve security gaps Monitor security event logs and alerts from SIEM and other security tools Support the development of internal processes and playbooks for threat response Collaborate with IT to ensure secure cloud and infrastructure configurations Stay current with emerging threats, attack vectors, and evolving detection strategies Contribute to the development of a growing security team and help define long-term security strategy Document incidents, lessons learned, and risk mitigations for continuous improvement Assist in Office 365 security configuration and cloud-based incident monitoring Qualifications: Bachelor's degree in Computer Science, Information Security, or related field (or equivalent practical experience) 3-5 years of direct experience in cybersecurity engineering, threat detection, or SOC operations Hands-on experience with security monitoring tools, SIEMs, and EDR platforms Familiarity with cloud security, network defense, and endpoint protection principles Experience in vulnerability management, exploit mitigation, and remediation practices Scripting skills (Python, PowerShell, or similar) are a plus Strong analytical and communication skills; able to work cross-functionally Industry certifications such as CISSP, CISM, CEH, GCIH, or Security+ are preferred Familiarity with NIST, ISO 27001, or other cybersecurity frameworks Employer-covered health insurance and strong dependent coverage Generous PTO policy including holidays and vacation days Performance-based annual bonus Opportunity to build and lead a new security function from scratch High-growth environment with executive support and long-term career potential HireCapital and our clients are equal-opportunity employers. We celebrate diversity and are committed to creating an inclusive environment for all employees. Seniority level Seniority levelAssociate Employment type Employment typeFull-time Job function Job functionEngineering, Information Technology, and Other IndustriesTechnology, Information and Media, Computer and Network Security, and IT Services and IT Consulting Referrals increase your chances of interviewing at HireCapital by 2x Get notified about new Security Engineer jobs in Washington DC-Baltimore Area . Junior Full Stack Software Engineer (JAVA) Washington, DC $100,000.00-$720,000.00 2 weeks ago Washington, DC $80,000.00-$120,000.00 5 days ago Hanover, MD $78,000.00-$250,000.00 2 weeks ago Hanover, MD $120,000.00-$170,000.00 3 days ago Hanover, MD $78,000.00-$250,000.00 2 weeks ago Junior F/E Software Engineer (Hybrid) - 23684 Columbia, MD $89,769.00-$130,000.00 5 days ago Annapolis Junction, MD $3,000.00-$5,250.00 1 week ago Annapolis Junction, MD $130,000.00-$270,000.00 3 weeks ago We're unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
04/05/2026
Full time
Direct message the job poster from HireCapital Technical Recruiter placing talent at innovative and mission-driven organizations Title: Security Engineer Job Type: Permanent Company Overview: Our client is a rapidly growing technology firm operating at the intersection of global security and advanced infrastructure protection. They support mission-critical systems through innovative software and hardware deployments and are expanding their cybersecurity capabilities to meet increasing demand. The company offers a collaborative, high-impact environment where engineers can directly influence strategic security outcomes. Role Summary: We're seeking a hands-on Security Engineer to lead cyber threat detection and response initiatives across cloud and on-prem environments. This role is focused solely on cybersecurity-not compliance-and is critical to maturing the organization's defensive posture. You'll work closely with technology stakeholders to respond to security events, deploy modern endpoint and detection solutions, and help shape a growing function. This is a prime opportunity for someone who wants to build and own a cybersecurity function within a supportive, fast-paced team. Responsibilities: Lead cyber incident response efforts, including triage, containment, root cause analysis, and remediation Implement and manage endpoint detection and response (EDR/XDR) technologies across the enterprise Conduct vulnerability scanning and support penetration testing to uncover and resolve security gaps Monitor security event logs and alerts from SIEM and other security tools Support the development of internal processes and playbooks for threat response Collaborate with IT to ensure secure cloud and infrastructure configurations Stay current with emerging threats, attack vectors, and evolving detection strategies Contribute to the development of a growing security team and help define long-term security strategy Document incidents, lessons learned, and risk mitigations for continuous improvement Assist in Office 365 security configuration and cloud-based incident monitoring Qualifications: Bachelor's degree in Computer Science, Information Security, or related field (or equivalent practical experience) 3-5 years of direct experience in cybersecurity engineering, threat detection, or SOC operations Hands-on experience with security monitoring tools, SIEMs, and EDR platforms Familiarity with cloud security, network defense, and endpoint protection principles Experience in vulnerability management, exploit mitigation, and remediation practices Scripting skills (Python, PowerShell, or similar) are a plus Strong analytical and communication skills; able to work cross-functionally Industry certifications such as CISSP, CISM, CEH, GCIH, or Security+ are preferred Familiarity with NIST, ISO 27001, or other cybersecurity frameworks Employer-covered health insurance and strong dependent coverage Generous PTO policy including holidays and vacation days Performance-based annual bonus Opportunity to build and lead a new security function from scratch High-growth environment with executive support and long-term career potential HireCapital and our clients are equal-opportunity employers. We celebrate diversity and are committed to creating an inclusive environment for all employees. Seniority level Seniority levelAssociate Employment type Employment typeFull-time Job function Job functionEngineering, Information Technology, and Other IndustriesTechnology, Information and Media, Computer and Network Security, and IT Services and IT Consulting Referrals increase your chances of interviewing at HireCapital by 2x Get notified about new Security Engineer jobs in Washington DC-Baltimore Area . Junior Full Stack Software Engineer (JAVA) Washington, DC $100,000.00-$720,000.00 2 weeks ago Washington, DC $80,000.00-$120,000.00 5 days ago Hanover, MD $78,000.00-$250,000.00 2 weeks ago Hanover, MD $120,000.00-$170,000.00 3 days ago Hanover, MD $78,000.00-$250,000.00 2 weeks ago Junior F/E Software Engineer (Hybrid) - 23684 Columbia, MD $89,769.00-$130,000.00 5 days ago Annapolis Junction, MD $3,000.00-$5,250.00 1 week ago Annapolis Junction, MD $130,000.00-$270,000.00 3 weeks ago We're unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
Capital One: Principal Associate, Support Engineer - Capital One Software (Remote) Ever since our first credit card customer in 1994, Capital One has recognized that technology and data can enable even large companies to be innovative and personalized. As one of the first large enterprises to go all-in on the public cloud, Capital One needed to build cloud and data management tools that didn't exist in the marketplace to enable us to operate at scale in the cloud. And in 2022, we publicly announced Capital One Software brought our first B2B software solution, Slingshot, to market. Building on Capital One's pioneering adoption of modern cloud and data capabilities, Capital One Software is helping accelerate the data management journey at scale for businesses operating in the cloud. If you think of the kind of challenges that companies face - things like data publishing, data consumption, data governance, and infrastructure management - we've built tools to address these various needs along the way. Capital One Software will continue to explore where we can bring our solutions to market to help other businesses address these same needs going forward. Job Summary: We are seeking a highly skilled and motivated Production Support Principal Associate to join our Capital One Software Support team in a fast paced Software as a Service (SaaS) organization. As a key member of our technical support group, you will play a critical role in ensuring the reliability, performance, and optimal functionality of our SaaS product. The ideal candidate should have a strong background in system engineering, troubleshooting, and customer support. Responsibilities: Provide advanced technical support for complex issues, addressing system and application related challenges. Familiarity with microservices architecture, understanding how to support and troubleshoot microservices based applications. Proficient in writing and executing SQL script to extract and analyze data. Diagnose and resolve software issues in a timely and efficient manner to meet service level agreements (SLAs). Monitor system performance and proactively identify potential issues before they impact users. Create and maintain comprehensive documentation related to troubleshooting procedures, system configurations, and support processes. Share knowledge with team members and contribute to the development of training materials. Work closely with cross functional teams, including software developers, product managers and platform engineers to address and resolve complex technical issues. Collaborate with Level 3 support to perform root cause analysis and contribute to long term solutions. Communicate effectively with customers to understand and troubleshoot issues, providing timely updates and resolutions. Ensure a high level of customer satisfaction through professional and courteous interactions. Identify opportunities for automation to streamline repetitive tasks and enhance efficiency. Contribute to continuous improvement initiatives, suggesting and implementing process enhancements. Participate in on call rotations to provide 24/7 support for major incidents. Respond promptly to emergency situations, contributing to swift resolution and minimizing downtime. If you are a highly analytical and collaborative individual with a passion for ensuring the seamless operation of SaaS solutions, we invite you to apply for this challenging and rewarding position. Join us in delivering exceptional support to our clients and contributing to the success of our innovative SaaS products. Basic Qualifications: Bachelor's degree in Computer Science, Information Technology, or a related field. At least 4 years of system engineering experience. At least 3 years of software troubleshooting or software customer support experience. Preferred Qualifications: Experience with scripting languages (Python, Bash). 3 + years of experience with public cloud technologies. 2 + years of experience using monitoring tools (AWS Cloudwatch, Splunk, New Relic, Solarwinds). At this time, Capital One will not sponsor a new applicant for employment authorization for this position. The minimum and maximum full time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Remote (Regardless of Location): $106,700 - $121,700 for Lead Support Specialist McLean, VA: $117,300 - $133,900 for Lead Support Specialist Richmond, VA: $106,700 - $121,700 for Lead Support Specialist Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well being. Learn more at the Capital One Careers website . Eligibility varies based on full or part time status, exempt or non exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23 A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. Capital One does provide endorse guarantee and liable for party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and position in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
04/05/2026
Full time
Capital One: Principal Associate, Support Engineer - Capital One Software (Remote) Ever since our first credit card customer in 1994, Capital One has recognized that technology and data can enable even large companies to be innovative and personalized. As one of the first large enterprises to go all-in on the public cloud, Capital One needed to build cloud and data management tools that didn't exist in the marketplace to enable us to operate at scale in the cloud. And in 2022, we publicly announced Capital One Software brought our first B2B software solution, Slingshot, to market. Building on Capital One's pioneering adoption of modern cloud and data capabilities, Capital One Software is helping accelerate the data management journey at scale for businesses operating in the cloud. If you think of the kind of challenges that companies face - things like data publishing, data consumption, data governance, and infrastructure management - we've built tools to address these various needs along the way. Capital One Software will continue to explore where we can bring our solutions to market to help other businesses address these same needs going forward. Job Summary: We are seeking a highly skilled and motivated Production Support Principal Associate to join our Capital One Software Support team in a fast paced Software as a Service (SaaS) organization. As a key member of our technical support group, you will play a critical role in ensuring the reliability, performance, and optimal functionality of our SaaS product. The ideal candidate should have a strong background in system engineering, troubleshooting, and customer support. Responsibilities: Provide advanced technical support for complex issues, addressing system and application related challenges. Familiarity with microservices architecture, understanding how to support and troubleshoot microservices based applications. Proficient in writing and executing SQL script to extract and analyze data. Diagnose and resolve software issues in a timely and efficient manner to meet service level agreements (SLAs). Monitor system performance and proactively identify potential issues before they impact users. Create and maintain comprehensive documentation related to troubleshooting procedures, system configurations, and support processes. Share knowledge with team members and contribute to the development of training materials. Work closely with cross functional teams, including software developers, product managers and platform engineers to address and resolve complex technical issues. Collaborate with Level 3 support to perform root cause analysis and contribute to long term solutions. Communicate effectively with customers to understand and troubleshoot issues, providing timely updates and resolutions. Ensure a high level of customer satisfaction through professional and courteous interactions. Identify opportunities for automation to streamline repetitive tasks and enhance efficiency. Contribute to continuous improvement initiatives, suggesting and implementing process enhancements. Participate in on call rotations to provide 24/7 support for major incidents. Respond promptly to emergency situations, contributing to swift resolution and minimizing downtime. If you are a highly analytical and collaborative individual with a passion for ensuring the seamless operation of SaaS solutions, we invite you to apply for this challenging and rewarding position. Join us in delivering exceptional support to our clients and contributing to the success of our innovative SaaS products. Basic Qualifications: Bachelor's degree in Computer Science, Information Technology, or a related field. At least 4 years of system engineering experience. At least 3 years of software troubleshooting or software customer support experience. Preferred Qualifications: Experience with scripting languages (Python, Bash). 3 + years of experience with public cloud technologies. 2 + years of experience using monitoring tools (AWS Cloudwatch, Splunk, New Relic, Solarwinds). At this time, Capital One will not sponsor a new applicant for employment authorization for this position. The minimum and maximum full time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Remote (Regardless of Location): $106,700 - $121,700 for Lead Support Specialist McLean, VA: $117,300 - $133,900 for Lead Support Specialist Richmond, VA: $106,700 - $121,700 for Lead Support Specialist Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well being. Learn more at the Capital One Careers website . Eligibility varies based on full or part time status, exempt or non exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23 A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. Capital One does provide endorse guarantee and liable for party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and position in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
GlossGenius is building an ecosystem enabling entrepreneurs to succeed. We empower small business owners to focus on being creators, not admins, by offering a range of business management tools including booking and scheduling, marketing, analytics, payment processing and much more. Over 90,000 small business owners have chosen to rely on GlossGenius every day to run their entire set of business operations. Joining its powerful, intuitive platform with its vibrant, distinguished brand, GlossGenius is the ideal combination of a fintech, SMB software, and consumer company all in one. About the Role GlossGenius has grown significantly, supporting tens of thousands of customers and seeing billions of transaction volumes on our platforms. As our customers continue to grow their businesses, we want to enable them to be more successful. For that, we're building AI features that will transform how our customers operate and grow their businesses That's why we are seeking strong Software Engineers, All levels to join one of our Product or Platform-based teams. Product-focused engineers work at the intersection of business needs and technical solutions, solving key customer problems. Platform-focused engineers build scalable, reliable, and extensible systems that empower product teams to move faster, deliver with quality, and focus on customer value. This role is remote from the San Francisco Bay Area. What We Work With We are open to hearing from candidates who know different programming languages and are excited to learn more and grow their skills. Our current stack: Kotlin (micronaut, jooq), Ruby (Rails, Sidekiq), gRPC, protobuf React Native AWS, Kubernetes, Postgres and Terraform What You'll Do As a Software Engineer at GlossGenius, you'll play a critical role in shaping a platform that powers over 90,000 small businesses and processes more than $3 billion in payments annually. Engineers work on high-impact initiatives that support our rapid growth and evolving scale. Examples of your potential responsibilities include: Develop, release, and run large-scale web applications that empower beauty and wellness businesses to operate and grow. Build new AI features for our customers. Develop and define our microservice-based infrastructure. Build tools and solutions that enable internal teams to work faster, more effectively, with more confidence, and improve the value they can provide our users (Business Scalability team). Work on core experiences such as making payments friction-free for clients and customers, building tools to help customers earn more per hour, or enabling businesses to effortlessly grow and manage their teams. Focus on front-end development, crafting intuitive and engaging user experiences for our web and mobile applications. Improve performance, reliability, scalability, and security for our backend systems. What We're Looking For 2+ years of professional experience in software development. A Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience. A strong desire to move fast and have a significant impact. An entrepreneurial mindset, eager to take ownership and contribute new ideas to solve challenging problems. Ability to analyze and improve efficiency, scalability, and stability of various system resources. Demonstrates strong collaboration skills and team spirit. Flexible PTO Competitive health & dental insurance options, with premiums partially or fully covered by GG In-person opportunities that are designed to help team members foster collaboration and build community (ie; working out of a co-working space, team dinners, and other team building activities) Fertility and adoption benefits via Carrot Generous, fully-paid parental leave policy 401k benefit - employees are eligible to contribute starting day 1 of employment Professional Development - employees receive a yearly stipend for approved learning and educational-related expenses Dependent Care FSA Home office support The starting base salary for this role in San Francisco is between $150,000-$230,000+ target equity + benefits. The base salary offered is dependent upon many factors including skills, experience , location, and education. The base pay range is subject to change and may be modified in the future. Additionally, this role is currently eligible to participate in GlossGenius's equity plan as well as a range of health & wellbeing, retirement savings, and other benefits within our total rewards offering. At GlossGenius, we celebrate our differences and are committed to creating a workplace where all employees feel supported and empowered to do their best work. We believe this benefits not only our employees but our product, customers, and community as well. GlossGenius is proud to be an Equal Opportunity and Affirmative Action Employer. Agency Submissions If a resume or applicant is submitted to GlossGenius by a third party without a signed search agreement in place, it will become the property of GlossGenius and no fee will be paid, irrespective of whether the candidate is hired. Apply for this job indicates a required field First Name Last Name Preferred First Name Email Phone Resume/CV Enter manually Accepted file types: pdf, doc, docx, txt, rtf Enter manually Accepted file types: pdf, doc, docx, txt, rtf LinkedIn Profile What programming languages are you proficient in? Are you able to work remote from the San Francisco Bay Area? Select Are you legally authorized to work in the US? Select Do you now or will you in the future require sponsorship for work authorization in the US? Select We're a high-growth startup looking to work with ambitious people with a history of exceptional performance. In two paragraphs or less, please share a specific example where you went above and beyond.
04/05/2026
Full time
GlossGenius is building an ecosystem enabling entrepreneurs to succeed. We empower small business owners to focus on being creators, not admins, by offering a range of business management tools including booking and scheduling, marketing, analytics, payment processing and much more. Over 90,000 small business owners have chosen to rely on GlossGenius every day to run their entire set of business operations. Joining its powerful, intuitive platform with its vibrant, distinguished brand, GlossGenius is the ideal combination of a fintech, SMB software, and consumer company all in one. About the Role GlossGenius has grown significantly, supporting tens of thousands of customers and seeing billions of transaction volumes on our platforms. As our customers continue to grow their businesses, we want to enable them to be more successful. For that, we're building AI features that will transform how our customers operate and grow their businesses That's why we are seeking strong Software Engineers, All levels to join one of our Product or Platform-based teams. Product-focused engineers work at the intersection of business needs and technical solutions, solving key customer problems. Platform-focused engineers build scalable, reliable, and extensible systems that empower product teams to move faster, deliver with quality, and focus on customer value. This role is remote from the San Francisco Bay Area. What We Work With We are open to hearing from candidates who know different programming languages and are excited to learn more and grow their skills. Our current stack: Kotlin (micronaut, jooq), Ruby (Rails, Sidekiq), gRPC, protobuf React Native AWS, Kubernetes, Postgres and Terraform What You'll Do As a Software Engineer at GlossGenius, you'll play a critical role in shaping a platform that powers over 90,000 small businesses and processes more than $3 billion in payments annually. Engineers work on high-impact initiatives that support our rapid growth and evolving scale. Examples of your potential responsibilities include: Develop, release, and run large-scale web applications that empower beauty and wellness businesses to operate and grow. Build new AI features for our customers. Develop and define our microservice-based infrastructure. Build tools and solutions that enable internal teams to work faster, more effectively, with more confidence, and improve the value they can provide our users (Business Scalability team). Work on core experiences such as making payments friction-free for clients and customers, building tools to help customers earn more per hour, or enabling businesses to effortlessly grow and manage their teams. Focus on front-end development, crafting intuitive and engaging user experiences for our web and mobile applications. Improve performance, reliability, scalability, and security for our backend systems. What We're Looking For 2+ years of professional experience in software development. A Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience. A strong desire to move fast and have a significant impact. An entrepreneurial mindset, eager to take ownership and contribute new ideas to solve challenging problems. Ability to analyze and improve efficiency, scalability, and stability of various system resources. Demonstrates strong collaboration skills and team spirit. Flexible PTO Competitive health & dental insurance options, with premiums partially or fully covered by GG In-person opportunities that are designed to help team members foster collaboration and build community (ie; working out of a co-working space, team dinners, and other team building activities) Fertility and adoption benefits via Carrot Generous, fully-paid parental leave policy 401k benefit - employees are eligible to contribute starting day 1 of employment Professional Development - employees receive a yearly stipend for approved learning and educational-related expenses Dependent Care FSA Home office support The starting base salary for this role in San Francisco is between $150,000-$230,000+ target equity + benefits. The base salary offered is dependent upon many factors including skills, experience , location, and education. The base pay range is subject to change and may be modified in the future. Additionally, this role is currently eligible to participate in GlossGenius's equity plan as well as a range of health & wellbeing, retirement savings, and other benefits within our total rewards offering. At GlossGenius, we celebrate our differences and are committed to creating a workplace where all employees feel supported and empowered to do their best work. We believe this benefits not only our employees but our product, customers, and community as well. GlossGenius is proud to be an Equal Opportunity and Affirmative Action Employer. Agency Submissions If a resume or applicant is submitted to GlossGenius by a third party without a signed search agreement in place, it will become the property of GlossGenius and no fee will be paid, irrespective of whether the candidate is hired. Apply for this job indicates a required field First Name Last Name Preferred First Name Email Phone Resume/CV Enter manually Accepted file types: pdf, doc, docx, txt, rtf Enter manually Accepted file types: pdf, doc, docx, txt, rtf LinkedIn Profile What programming languages are you proficient in? Are you able to work remote from the San Francisco Bay Area? Select Are you legally authorized to work in the US? Select Do you now or will you in the future require sponsorship for work authorization in the US? Select We're a high-growth startup looking to work with ambitious people with a history of exceptional performance. In two paragraphs or less, please share a specific example where you went above and beyond.
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. About the Role Glean is seeking an Infrastructure Engineer to build and evolve the platform that powers a highly available, performant, secure and cost effective infrastructure across all clouds. You'll deliver complex components with elegant automation, robust uptime guarantees, autoscaling, and reliable alerting/monitoring for infrastructure that runs across multiple cloud providers. As part of the Platform team, you'll be responsible for critical pieces of Glean's infrastructure, working closely with several other teams to support their workloads. You Will Oversee the entirety of your greenfield features from inception to implementation, experimentation, launch and beyond Provide leadership and mentor more junior engineers Work with designers, product managers, data scientists, and other engineers to understand our problem space and create elegant solutions Write robust code that's efficient, easy to read, maintain and test About You Bachelor's degree (or equivalent) in Computer Science or related field 3+ years of experience in a role working with AWS and/or GCP IaaS services (compute, object storage, IAM, networking, VPC) Experience with Terraform, Kubernetes (GKE/EKS), Data Pipelines (Beam/Flink/Kafka/PubSub/SQS), ML Pipelines, Object Storage (S3/GCS), BigQuery, etc. is a plus Experience managing large scale cloud infrastructure with IaC Highly proficient with modern Unix/Linux operating systems/distributions Experience defining SLOs/SLIs and implementing monitoring, alerting, and runbooks Adaptable. Goals can change fast. You anticipate and react quickly Autonomous. You own what you work on. You move fast and get things done Excellent communication. You will need to communicate complex ideas effectively to both technical and non technical audiences, both verbally and in writing Collaborative. You must work collaboratively in a cross functional team and with people at all levels in an organization Location This role is hybrid (3 4 days a week in one of our SF Bay Area offices) Compensation & Benefits The standard base salary range for this position is $140,000-$265,000 annually. Compensation 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. We offer a comprehensive benefits package including competitive compensation, medical, vision, and dental coverage, a generous time off policy, and the opportunity to contribute to a 401(k) plan. You'll receive a home office improvement stipend and annual education and wellness stipends to support your growth and well being. We foster a vibrant company culture through regular events and provide healthy lunches daily. EEO Statement 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 are 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. Seniority Level Mid Senior level Employment Type Full time Job Function Engineering and Information Technology Industries Software Development
04/05/2026
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. About the Role Glean is seeking an Infrastructure Engineer to build and evolve the platform that powers a highly available, performant, secure and cost effective infrastructure across all clouds. You'll deliver complex components with elegant automation, robust uptime guarantees, autoscaling, and reliable alerting/monitoring for infrastructure that runs across multiple cloud providers. As part of the Platform team, you'll be responsible for critical pieces of Glean's infrastructure, working closely with several other teams to support their workloads. You Will Oversee the entirety of your greenfield features from inception to implementation, experimentation, launch and beyond Provide leadership and mentor more junior engineers Work with designers, product managers, data scientists, and other engineers to understand our problem space and create elegant solutions Write robust code that's efficient, easy to read, maintain and test About You Bachelor's degree (or equivalent) in Computer Science or related field 3+ years of experience in a role working with AWS and/or GCP IaaS services (compute, object storage, IAM, networking, VPC) Experience with Terraform, Kubernetes (GKE/EKS), Data Pipelines (Beam/Flink/Kafka/PubSub/SQS), ML Pipelines, Object Storage (S3/GCS), BigQuery, etc. is a plus Experience managing large scale cloud infrastructure with IaC Highly proficient with modern Unix/Linux operating systems/distributions Experience defining SLOs/SLIs and implementing monitoring, alerting, and runbooks Adaptable. Goals can change fast. You anticipate and react quickly Autonomous. You own what you work on. You move fast and get things done Excellent communication. You will need to communicate complex ideas effectively to both technical and non technical audiences, both verbally and in writing Collaborative. You must work collaboratively in a cross functional team and with people at all levels in an organization Location This role is hybrid (3 4 days a week in one of our SF Bay Area offices) Compensation & Benefits The standard base salary range for this position is $140,000-$265,000 annually. Compensation 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. We offer a comprehensive benefits package including competitive compensation, medical, vision, and dental coverage, a generous time off policy, and the opportunity to contribute to a 401(k) plan. You'll receive a home office improvement stipend and annual education and wellness stipends to support your growth and well being. We foster a vibrant company culture through regular events and provide healthy lunches daily. EEO Statement 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 are 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. Seniority Level Mid Senior level Employment Type Full time Job Function Engineering and Information Technology Industries Software Development
Senior Software Engineer Base pay range: $150,000 - $200,000 per year About Neon Neon is a global payments and e commerce platform that helps game publishers earn more and maintain independence from app stores. Neon focuses on open, transparent commerce and developer centric infrastructure. About the Role As a Senior Software Engineer you'll lead, design and build key products and core systems for game creators, working closely with product leaders, designers and other engineers across the full stack. What You'll Do Develop and maintain both front end and back end components of the product. Collaborate closely with product leaders, designers, and fellow engineers to define, design and ship new features. Ensure features are scalable, performant, secure and user friendly. Write clean, maintainable, and efficient code, participate in code reviews and maintain documentation. What We Look For 5+ years of software engineering experience. Full stack background with strong focus on React and TypeScript. Excited about learning new things and flexing across the stack. Highly productive, able to take ownership of key initiatives and deliver results. Experience leading teams or projects and helping others level up their skills. Ability to work from Neon's offices in San Francisco or New York City. Seniority Level Mid Senior Level Employment Type Full time Job Function Engineering and Information Technology Industries Software Development Referrals increase your chances of interviewing at Neon by 2x. Apply now.
04/05/2026
Full time
Senior Software Engineer Base pay range: $150,000 - $200,000 per year About Neon Neon is a global payments and e commerce platform that helps game publishers earn more and maintain independence from app stores. Neon focuses on open, transparent commerce and developer centric infrastructure. About the Role As a Senior Software Engineer you'll lead, design and build key products and core systems for game creators, working closely with product leaders, designers and other engineers across the full stack. What You'll Do Develop and maintain both front end and back end components of the product. Collaborate closely with product leaders, designers, and fellow engineers to define, design and ship new features. Ensure features are scalable, performant, secure and user friendly. Write clean, maintainable, and efficient code, participate in code reviews and maintain documentation. What We Look For 5+ years of software engineering experience. Full stack background with strong focus on React and TypeScript. Excited about learning new things and flexing across the stack. Highly productive, able to take ownership of key initiatives and deliver results. Experience leading teams or projects and helping others level up their skills. Ability to work from Neon's offices in San Francisco or New York City. Seniority Level Mid Senior Level Employment Type Full time Job Function Engineering and Information Technology Industries Software Development Referrals increase your chances of interviewing at Neon by 2x. Apply now.
People.ai is an AI-powered foundational data platform that helps customers unlock go to market success & growth by providing teams with solutions built specifically for their needs. Providing enhanced pipeline visibility, more actionable insights, and a single source of truth for all sales activities. People.ai's unique dataset, consisting of trillions of sales activities, millions of deals, 160 million business contacts, and 69 approved patents related to AI-based business insights, sets the company apart. Companies such as Verizon, Red Hat, and Palo Alto Networks rely on their enterprise ready, patented AI technology. At People.ai, we believe that people enrich the world around them in countless ways. We believe that the more time they spend applying their creativity, resourcefulness, and critical thinking to activities that matter most in their professional life, the more effective a professional they become. Our team is a diverse, outspoken group of creatives and critical thinkers, hyper focused on driving change and growth. We embrace "different". We applaud non traditional career paths. We're inspired by people who have made processes their own. As a Senior Software Engineer on the XCore team, you will work on one of the most impactful projects at People.ai - Forecasting. You will be building and evolving a live product with active daily users, working closely with the business team and customers through discovery and exploration calls. You will have a direct impact on company revenue by defining and delivering features grounded in real customer feedback. Your work will directly influence how customers plan, forecast outcomes, and make critical business decisions. In addition, you will collaborate across Engineering and R&D teams to enhance core Admin Platform services such as authentication, users, settings, and configurations. You will leverage customer insights and data analysis to design and build high performance, low latency systems and APIs that scale efficiently while improving our operational costs. We value ownership highly - the ability to take an idea through all the stages from conception to shipping a product. This reflects throughout our company, but is especially true in engineering. As an engineer at People.ai, you'll be a part of a highly independent and autonomous team. Since we're building out a robust data layer that needs to be presented elegantly to the end user, you'll be working with a large array of different technologies and fields. Expect lots of interesting challenges. Responsibilities: Take ownership of projects. From requirements gathering, through design, implementation and testing, to monitoring and maintenance throughout the tech stack. Collaborate within the team, with other engineering teams and cross functionally to enhance our users' experience. Follow software design and development best practices and promote such practices in the team. Document design choices and operational knowledge to successfully deploy and run services. Ensure code accuracy and efficiency with appropriate test coverage, integration testing and load testing. Ensure robust alerting, dashboards, and runbooks for production services are in place. Requirements: 7+ years of professional experience working on backend systems in an enterprise environment 2+ years experience programming in Python 2.x/3.x or Scala or Java Experience with SOA, microservices, and event driven architecture Experience with an enterprise grade stack for scalable web apps, including messaging brokers, in memory storage, and key value databases Strong knowledge of TDD, Unit, and automated test paradigms Experience with SQL and RDBMS solutions Experience with containerized applications, Docker, and Kubernetes Possess a DevOps mindset, AWS experience is a plus Experience with LLMs is a plus Experience with large scale data processing (Spark) is a plus Bachelor's Degree in Computer Science, Computer Engineering, or in a closely related discipline Headquartered in San Francisco, CA, People.ai is backed by Y Combinator and Silicon Valley's top investors, including ICONIQ Capital, Andreessen Horowitz, Lightspeed Venture Partners, Akkadian Ventures, and Mubadala Capital. People.ai is listed in the top 20 percent of Inc 5000 companies, is a regular leader in our key categories on G2, and is on the Forbes list of America's Best Startup Employers. For more information, please visit .
04/05/2026
Full time
People.ai is an AI-powered foundational data platform that helps customers unlock go to market success & growth by providing teams with solutions built specifically for their needs. Providing enhanced pipeline visibility, more actionable insights, and a single source of truth for all sales activities. People.ai's unique dataset, consisting of trillions of sales activities, millions of deals, 160 million business contacts, and 69 approved patents related to AI-based business insights, sets the company apart. Companies such as Verizon, Red Hat, and Palo Alto Networks rely on their enterprise ready, patented AI technology. At People.ai, we believe that people enrich the world around them in countless ways. We believe that the more time they spend applying their creativity, resourcefulness, and critical thinking to activities that matter most in their professional life, the more effective a professional they become. Our team is a diverse, outspoken group of creatives and critical thinkers, hyper focused on driving change and growth. We embrace "different". We applaud non traditional career paths. We're inspired by people who have made processes their own. As a Senior Software Engineer on the XCore team, you will work on one of the most impactful projects at People.ai - Forecasting. You will be building and evolving a live product with active daily users, working closely with the business team and customers through discovery and exploration calls. You will have a direct impact on company revenue by defining and delivering features grounded in real customer feedback. Your work will directly influence how customers plan, forecast outcomes, and make critical business decisions. In addition, you will collaborate across Engineering and R&D teams to enhance core Admin Platform services such as authentication, users, settings, and configurations. You will leverage customer insights and data analysis to design and build high performance, low latency systems and APIs that scale efficiently while improving our operational costs. We value ownership highly - the ability to take an idea through all the stages from conception to shipping a product. This reflects throughout our company, but is especially true in engineering. As an engineer at People.ai, you'll be a part of a highly independent and autonomous team. Since we're building out a robust data layer that needs to be presented elegantly to the end user, you'll be working with a large array of different technologies and fields. Expect lots of interesting challenges. Responsibilities: Take ownership of projects. From requirements gathering, through design, implementation and testing, to monitoring and maintenance throughout the tech stack. Collaborate within the team, with other engineering teams and cross functionally to enhance our users' experience. Follow software design and development best practices and promote such practices in the team. Document design choices and operational knowledge to successfully deploy and run services. Ensure code accuracy and efficiency with appropriate test coverage, integration testing and load testing. Ensure robust alerting, dashboards, and runbooks for production services are in place. Requirements: 7+ years of professional experience working on backend systems in an enterprise environment 2+ years experience programming in Python 2.x/3.x or Scala or Java Experience with SOA, microservices, and event driven architecture Experience with an enterprise grade stack for scalable web apps, including messaging brokers, in memory storage, and key value databases Strong knowledge of TDD, Unit, and automated test paradigms Experience with SQL and RDBMS solutions Experience with containerized applications, Docker, and Kubernetes Possess a DevOps mindset, AWS experience is a plus Experience with LLMs is a plus Experience with large scale data processing (Spark) is a plus Bachelor's Degree in Computer Science, Computer Engineering, or in a closely related discipline Headquartered in San Francisco, CA, People.ai is backed by Y Combinator and Silicon Valley's top investors, including ICONIQ Capital, Andreessen Horowitz, Lightspeed Venture Partners, Akkadian Ventures, and Mubadala Capital. People.ai is listed in the top 20 percent of Inc 5000 companies, is a regular leader in our key categories on G2, and is on the Forbes list of America's Best Startup Employers. For more information, please visit .
Please read all the requirements listed below. This post will be taken down once we have received the first 100 qualified applications. EarthScope Consortium Inc. is not able to sponsor applicants for work authorization within the United States. EarthScope Consortium is only able to hire employees working inside the 50 U.S. States. To be considered, applicants must reside and work within the 50 U.S. States. Job Title: Educational Technologist I Reports to: Engagement Program Manager Employment/FLSA Status: Full-Time/Exempt Remote Eligible: Yes, National United States Travel Requirements: Up to 20% Salary Range: $60,000 - $70,000 (depending on experience, skills, and qualifications relative to the job requirements) Benefits and Perks: Comprehensive Medical Plan Covering Medical, Dental, Vision Short Term and Long-Term Disability Coverage 403(b) Plan with Company Match Life Insurance PTO, Paid Holidays Position Summary The Educational Technologist I serves as a critical bridge between the organization's Engagement and Data Science groups. This role focuses on integrating technology into education initiatives and ensuring data science best practices are followed. As part of a remote-first organization, this professional collaborates virtually with staff with a variety of backgrounds. This position plays a vital role in ensuring that educational programs are enriched with advanced data science while maintaining accessibility and engagement. Details of Responsibilities General Essential Job Duties: Under direct supervision, design, develop, and implement technology-based solutions that bridge pedagogical best practices with data science methodologies in remote learning environments Translate complex data science and geophysical concepts into accessible educational materials for diverse audiences in virtual settings Maintain e-learning tools, with a strong emphasis on interactive data analysis and coding (e.g. Jupyter Notebooks), to support educational initiatives Support accessibility standards and ensure all tools meet organizational policies and legal requirements Collaborate with geoscience educators, data scientists, researchers, and instructional designers to create engaging virtual learning environments. Stay informed of updates in both educational methodologies and data science techniques, with special attention to remote and asynchronous learning approaches Other duties may be assigned as necessary for the successful operation of the business. Specialized Essential Job Duties: Maintain educational modules for geophysical data processing and analysis in cloud-based environments using current programming and technology such as Python, R, and others. Participate in leading virtual workshops and training sessions Maintain training materials for geophysical data analysis tools, cloud computing platforms, and scientific workflows optimized for accessibility, usability, and engagement in both synchronous and asynchronous contexts Maintain documentation of training materials Leadership and Supervisory Responsibilities: This position does not have supervisory responsibility. Qualifications Minimum Education & Experience Requirements: Bachelor's degree in geophysics, earth sciences, computer science, data science, educational technology, or a closely related field 2+ years of combined experience in: Data science, computational geophysics, or similar technical field or educational technology Preferred Skills: Master's degree in geophysics, earth sciences, computer science, data science, educational technology, or a closely related field Certifications in cloud technologies from cloud providers including Amazon Web Services, Google Cloud Platform, and Microsoft Azure. Experience with cloud-based notebook environments for educational applications Experience with cloud computing platforms (AWS, Google Cloud, Azure) for scientific data processing Experience integrating computational tools into learning environments Experience working with geophysical data types (seismic, electromagnetic, gravity, magnetic, etc.) Demonstrated proficiency in programming languages commonly used for data analysis, statistical computing, machine learning, and scientific research (e.g. Python, R) programming Demonstrated experience working at the intersection of pedagogy and data science. Assignment-specific Position Summary Positions in Engagement Services will include job specific addenda that specify assignment-specific duties, knowledge, skills and abilities pertinent to the position. This is in addition to the general Position Description requirements associated with the job title. Assignment-specific Essential Duties: Manage the plan for managing digital educational resources balancing brand awareness, ability to get data analytics and user functionality. Manage the development of tools to enable the learning of geophysics and the use of facility data in instruction including: The development of no-code/low-code interactive simulations and notebooks, Webtools to deliver data to educators and students Contribute to the Data Science and Computing Academy. Serve as the product owner of Earthscope's learning management system including: Create and maintain information for users of Moodle to facilitate usage Identify needed functionality or plug-ins for Moodle to improve user experience Ensure metrics/usage data are collected for courses offered in GeoLab and Moodle Other duties may be assigned as necessary for the successful operation of the business. Assignment-specific Knowledge, Skills, & Abilities: To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability for the position: Expert user of Google suite of tools Knowledge of learning theory and instructional design principles Knowledge of Universal Design for Learning (UDL) Familiarity with emerging educational technologies Knowledge of learning management systems for course design and analytics. Abilities to use data analytics to assess learner engagement, track performance, and inform instructional decisions. Knowledge of cybersecurity and digital ethics. Ability to work collaboratively with data scientists and software engineers in Data Services. Knowledge, Skills, & Abilities: To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability for the position: Exceptional organizational and time management skills. Ability to work in a team-oriented environment with diverse members and different communication styles Ability to organize and prioritize work. Ability to communicate effectively with different audiences Ability to exercise independent judgment and interact effectively with internal and external partners Other Requirements: Appropriate availability consistent with EarthScope established practices and norms; hours may exceed 40 hours per week, particularly when traveling. Ability to occasionally travel (1-4 times per year) to in-person team gatherings, conferences, field sites, or partner institutions Environment Physical Setting and Requirements: Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. PHYSICAL DEMANDS AND WORK ENVIRONMENT : Occasionally required to stand. Occasionally required to walk. Frequently required to sit. Continually required to utilize hand and finger dexterity. Occasionally required to talk and/or hear. While performing the duties of this job, the noise level in the work environment is usually quiet. Occasionally required to lift and /or move more than 25 pounds. Specific vision abilities required by this job include close vision and ability to adjust focus. Acknowledgment This job description is designed to provide a general overview of the requirements of the job and does not entail a comprehensive listing of all activities, duties or responsibilities that will be required. The EarthScope Consortium reserves the right to add to, remove or modify this job description at any time. This includes the right to assign or reassign duties and responsibilities as needed. The EarthScope Consortium also reserves the right to release or eliminate this position at any time. Equal Opportunity It is the policy of EarthScope Consortium not to discriminate against any applicant for employment, or any employee based on the criteria outlined in Title VI and Title VII of the Civil Rights Act of 1964. . click apply for full job details
04/04/2026
Full time
Please read all the requirements listed below. This post will be taken down once we have received the first 100 qualified applications. EarthScope Consortium Inc. is not able to sponsor applicants for work authorization within the United States. EarthScope Consortium is only able to hire employees working inside the 50 U.S. States. To be considered, applicants must reside and work within the 50 U.S. States. Job Title: Educational Technologist I Reports to: Engagement Program Manager Employment/FLSA Status: Full-Time/Exempt Remote Eligible: Yes, National United States Travel Requirements: Up to 20% Salary Range: $60,000 - $70,000 (depending on experience, skills, and qualifications relative to the job requirements) Benefits and Perks: Comprehensive Medical Plan Covering Medical, Dental, Vision Short Term and Long-Term Disability Coverage 403(b) Plan with Company Match Life Insurance PTO, Paid Holidays Position Summary The Educational Technologist I serves as a critical bridge between the organization's Engagement and Data Science groups. This role focuses on integrating technology into education initiatives and ensuring data science best practices are followed. As part of a remote-first organization, this professional collaborates virtually with staff with a variety of backgrounds. This position plays a vital role in ensuring that educational programs are enriched with advanced data science while maintaining accessibility and engagement. Details of Responsibilities General Essential Job Duties: Under direct supervision, design, develop, and implement technology-based solutions that bridge pedagogical best practices with data science methodologies in remote learning environments Translate complex data science and geophysical concepts into accessible educational materials for diverse audiences in virtual settings Maintain e-learning tools, with a strong emphasis on interactive data analysis and coding (e.g. Jupyter Notebooks), to support educational initiatives Support accessibility standards and ensure all tools meet organizational policies and legal requirements Collaborate with geoscience educators, data scientists, researchers, and instructional designers to create engaging virtual learning environments. Stay informed of updates in both educational methodologies and data science techniques, with special attention to remote and asynchronous learning approaches Other duties may be assigned as necessary for the successful operation of the business. Specialized Essential Job Duties: Maintain educational modules for geophysical data processing and analysis in cloud-based environments using current programming and technology such as Python, R, and others. Participate in leading virtual workshops and training sessions Maintain training materials for geophysical data analysis tools, cloud computing platforms, and scientific workflows optimized for accessibility, usability, and engagement in both synchronous and asynchronous contexts Maintain documentation of training materials Leadership and Supervisory Responsibilities: This position does not have supervisory responsibility. Qualifications Minimum Education & Experience Requirements: Bachelor's degree in geophysics, earth sciences, computer science, data science, educational technology, or a closely related field 2+ years of combined experience in: Data science, computational geophysics, or similar technical field or educational technology Preferred Skills: Master's degree in geophysics, earth sciences, computer science, data science, educational technology, or a closely related field Certifications in cloud technologies from cloud providers including Amazon Web Services, Google Cloud Platform, and Microsoft Azure. Experience with cloud-based notebook environments for educational applications Experience with cloud computing platforms (AWS, Google Cloud, Azure) for scientific data processing Experience integrating computational tools into learning environments Experience working with geophysical data types (seismic, electromagnetic, gravity, magnetic, etc.) Demonstrated proficiency in programming languages commonly used for data analysis, statistical computing, machine learning, and scientific research (e.g. Python, R) programming Demonstrated experience working at the intersection of pedagogy and data science. Assignment-specific Position Summary Positions in Engagement Services will include job specific addenda that specify assignment-specific duties, knowledge, skills and abilities pertinent to the position. This is in addition to the general Position Description requirements associated with the job title. Assignment-specific Essential Duties: Manage the plan for managing digital educational resources balancing brand awareness, ability to get data analytics and user functionality. Manage the development of tools to enable the learning of geophysics and the use of facility data in instruction including: The development of no-code/low-code interactive simulations and notebooks, Webtools to deliver data to educators and students Contribute to the Data Science and Computing Academy. Serve as the product owner of Earthscope's learning management system including: Create and maintain information for users of Moodle to facilitate usage Identify needed functionality or plug-ins for Moodle to improve user experience Ensure metrics/usage data are collected for courses offered in GeoLab and Moodle Other duties may be assigned as necessary for the successful operation of the business. Assignment-specific Knowledge, Skills, & Abilities: To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability for the position: Expert user of Google suite of tools Knowledge of learning theory and instructional design principles Knowledge of Universal Design for Learning (UDL) Familiarity with emerging educational technologies Knowledge of learning management systems for course design and analytics. Abilities to use data analytics to assess learner engagement, track performance, and inform instructional decisions. Knowledge of cybersecurity and digital ethics. Ability to work collaboratively with data scientists and software engineers in Data Services. Knowledge, Skills, & Abilities: To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability for the position: Exceptional organizational and time management skills. Ability to work in a team-oriented environment with diverse members and different communication styles Ability to organize and prioritize work. Ability to communicate effectively with different audiences Ability to exercise independent judgment and interact effectively with internal and external partners Other Requirements: Appropriate availability consistent with EarthScope established practices and norms; hours may exceed 40 hours per week, particularly when traveling. Ability to occasionally travel (1-4 times per year) to in-person team gatherings, conferences, field sites, or partner institutions Environment Physical Setting and Requirements: Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. PHYSICAL DEMANDS AND WORK ENVIRONMENT : Occasionally required to stand. Occasionally required to walk. Frequently required to sit. Continually required to utilize hand and finger dexterity. Occasionally required to talk and/or hear. While performing the duties of this job, the noise level in the work environment is usually quiet. Occasionally required to lift and /or move more than 25 pounds. Specific vision abilities required by this job include close vision and ability to adjust focus. Acknowledgment This job description is designed to provide a general overview of the requirements of the job and does not entail a comprehensive listing of all activities, duties or responsibilities that will be required. The EarthScope Consortium reserves the right to add to, remove or modify this job description at any time. This includes the right to assign or reassign duties and responsibilities as needed. The EarthScope Consortium also reserves the right to release or eliminate this position at any time. Equal Opportunity It is the policy of EarthScope Consortium not to discriminate against any applicant for employment, or any employee based on the criteria outlined in Title VI and Title VII of the Civil Rights Act of 1964. . click apply for full job details
AI Engineer 1) Organization Overview (Concise & Neutral) A fast growing oncology focused organization is reinventing how clinical trials operate by integrating them tightly with real world clinical practice. Cross disciplinary teams across healthcare, engineering, AI, and regulatory domains work in a Human in the Loop (HITL) model to deliver regulatory grade outcomes that expand trial access and accelerate cancer drug development. What's Different Clinical trials are embedded within clinical practice-not run in parallel. Hybrid model blending expert abstraction, AI/NLP/LLMs, and EMR integrations. Strong commitment to rigorous testing, validation, privacy, and ethical AI. Mission driven culture with high collaboration and urgency. Why Join Now AI is essential to scaling the business-impact is immediate and visible. Opportunity to build an end to end applied AI stack powering clinical teams. Work across LLMs, CV, and multimodal use cases with strong platform engineering partners. 2) Role Overview - AI Engineer Purpose Design and deliver applied AI systems (LLMs/CV/multimodal) that automate clinical variable extraction and clinical note generation. Work includes repeatable validation, robust documentation, and HITL feedback loops. Strong emphasis on data engineering and backend rigor to ensure model usability and efficiency. Focus Areas LLM development and LLM Ops for text extraction and structuring; some CV/multimodal. Rapid prototyping with high software engineering hygiene. Statistical validation plans, experiment design, and metrics ownership. HITL workflow development to reduce manual QA and improve throughput. Collaboration with Platform Engineering for production alignment. Comprehensive documentation: datasets, experiments, model cards, QA audits. HIPAA aligned safeguards and compliant AI practices. Core Responsibilities Build AI models and pipelines across EMR/EHR, imaging, and clinical documents. Translate ambiguous clinical requirements into measurable ML objectives. Define metrics, design experiments, and estimate/model error. Lead interim QA audit processes and evolve toward AI assisted QA. Partner with data/platform engineers on scalability, data flow, and observability. Champion code quality, experiment tracking, reproducibility, and knowledge capture. Expected Impact (6-12 Months) Deliver validated AI components for abstraction and note generation. Meaningfully reduce manual QA workload through HITL optimization. Standardize testing and documentation frameworks. Establish efficient PySpark/SQL/Postgres data manipulation patterns that accelerate iteration. 3) Product & AI Context In Flight Work LLM powered abstraction and clinical note generation with HITL. Auditing and validation pipelines. Mandate Drive productivity gains for internal labeling/abstraction teams. Build the full applied AI stack: model development, context engineering, QA automation, interfaces. Productionization Deployment owned by Platform Engineering, but AI Engineers write scalable, integration ready code. Data Gravity Data engineering is a major part of the role: PySpark, SQL/Postgres, query optimization, cloud data tooling. 4) Ideal Candidate Profile Background MSc/PhD in CS, EE, Applied Math, Stats, Physics, or equivalent depth via experience. 2-5+ years in AI/ML engineering or applied data science. Healthcare or clinical workflows experience strongly preferred; oncology a plus. Technical Must Haves Expert level Python + strong software engineering practices. Deep learning experience with PyTorch or TensorFlow (LLMs and/or CV). Data engineering: PySpark, SQL, Postgres, data modeling, query tuning. Cloud data platforms (Databricks, S3/Snowflake/Azure/GCP). Experiment design, statistical validation, and error analysis. HITL lifecycle design and feedback integration. Nice to Have Additional languages: R, Java, C++. MLOps fundamentals (versioning, lineage, CI/CD). Prior oncology or clinical trials exposure.
04/04/2026
Full time
AI Engineer 1) Organization Overview (Concise & Neutral) A fast growing oncology focused organization is reinventing how clinical trials operate by integrating them tightly with real world clinical practice. Cross disciplinary teams across healthcare, engineering, AI, and regulatory domains work in a Human in the Loop (HITL) model to deliver regulatory grade outcomes that expand trial access and accelerate cancer drug development. What's Different Clinical trials are embedded within clinical practice-not run in parallel. Hybrid model blending expert abstraction, AI/NLP/LLMs, and EMR integrations. Strong commitment to rigorous testing, validation, privacy, and ethical AI. Mission driven culture with high collaboration and urgency. Why Join Now AI is essential to scaling the business-impact is immediate and visible. Opportunity to build an end to end applied AI stack powering clinical teams. Work across LLMs, CV, and multimodal use cases with strong platform engineering partners. 2) Role Overview - AI Engineer Purpose Design and deliver applied AI systems (LLMs/CV/multimodal) that automate clinical variable extraction and clinical note generation. Work includes repeatable validation, robust documentation, and HITL feedback loops. Strong emphasis on data engineering and backend rigor to ensure model usability and efficiency. Focus Areas LLM development and LLM Ops for text extraction and structuring; some CV/multimodal. Rapid prototyping with high software engineering hygiene. Statistical validation plans, experiment design, and metrics ownership. HITL workflow development to reduce manual QA and improve throughput. Collaboration with Platform Engineering for production alignment. Comprehensive documentation: datasets, experiments, model cards, QA audits. HIPAA aligned safeguards and compliant AI practices. Core Responsibilities Build AI models and pipelines across EMR/EHR, imaging, and clinical documents. Translate ambiguous clinical requirements into measurable ML objectives. Define metrics, design experiments, and estimate/model error. Lead interim QA audit processes and evolve toward AI assisted QA. Partner with data/platform engineers on scalability, data flow, and observability. Champion code quality, experiment tracking, reproducibility, and knowledge capture. Expected Impact (6-12 Months) Deliver validated AI components for abstraction and note generation. Meaningfully reduce manual QA workload through HITL optimization. Standardize testing and documentation frameworks. Establish efficient PySpark/SQL/Postgres data manipulation patterns that accelerate iteration. 3) Product & AI Context In Flight Work LLM powered abstraction and clinical note generation with HITL. Auditing and validation pipelines. Mandate Drive productivity gains for internal labeling/abstraction teams. Build the full applied AI stack: model development, context engineering, QA automation, interfaces. Productionization Deployment owned by Platform Engineering, but AI Engineers write scalable, integration ready code. Data Gravity Data engineering is a major part of the role: PySpark, SQL/Postgres, query optimization, cloud data tooling. 4) Ideal Candidate Profile Background MSc/PhD in CS, EE, Applied Math, Stats, Physics, or equivalent depth via experience. 2-5+ years in AI/ML engineering or applied data science. Healthcare or clinical workflows experience strongly preferred; oncology a plus. Technical Must Haves Expert level Python + strong software engineering practices. Deep learning experience with PyTorch or TensorFlow (LLMs and/or CV). Data engineering: PySpark, SQL, Postgres, data modeling, query tuning. Cloud data platforms (Databricks, S3/Snowflake/Azure/GCP). Experiment design, statistical validation, and error analysis. HITL lifecycle design and feedback integration. Nice to Have Additional languages: R, Java, C++. MLOps fundamentals (versioning, lineage, CI/CD). Prior oncology or clinical trials exposure.