Based in San Francisco, California, Turing is the world's leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in software engineering, logical reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L. Project Overview What Does a Typical Day Look Like? Evaluate and refine AI-generated code to ensure that it is efficient, scalable, and reliable. Collaborate with cross-functional teams to enhance AI-driven coding solutions against industry performance benchmarks. Build agents that can verify the quality of the code and identify error patterns. Hypothesize on steps in the software engineering cycle (prototyping, architecture design, API design, production implementation, launch, experiments, monitoring, operational maintenance) and evaluate model capabilities on them. Design verification mechanisms that can automatically verify a solution to a software engineering task. Required Skills Several years of software engineering experience (+5 years), including 2+ years of continuous full-time experience at a top-tier product company (e.g., Google, Stripe, Amazon, Apple, Meta, Netflix, Microsoft, Datadog, Dropbox, Shopify, PayPal, IBM Research). Strong expertise in building full-stack applications and deploying scalable, production-grade software using modern languages and tools. Deep understanding of software architecture, design, development, debugging, and code quality/review assessment. Excellent oral and written communication skills for clear, structured evaluation rationales. Commitment: flexible engagement, minimum 10 hrs/week, up to 40 hrs/week (partial PST overlap required) Type: Contractor (no medical/paid leave) Duration: 1 month (starting next week; potential extensions based on performance and fit) Location: Candidates must be based out of US, Canada or WEU countries (UK, Netherlands, Italy, Germany, ) Note: As part of assessments you will go through an AI video interview. After applying, you will receive an email with a login link. Please use that link to access the portal and complete your profile.
04/05/2026
Full time
Based in San Francisco, California, Turing is the world's leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in software engineering, logical reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L. Project Overview What Does a Typical Day Look Like? Evaluate and refine AI-generated code to ensure that it is efficient, scalable, and reliable. Collaborate with cross-functional teams to enhance AI-driven coding solutions against industry performance benchmarks. Build agents that can verify the quality of the code and identify error patterns. Hypothesize on steps in the software engineering cycle (prototyping, architecture design, API design, production implementation, launch, experiments, monitoring, operational maintenance) and evaluate model capabilities on them. Design verification mechanisms that can automatically verify a solution to a software engineering task. Required Skills Several years of software engineering experience (+5 years), including 2+ years of continuous full-time experience at a top-tier product company (e.g., Google, Stripe, Amazon, Apple, Meta, Netflix, Microsoft, Datadog, Dropbox, Shopify, PayPal, IBM Research). Strong expertise in building full-stack applications and deploying scalable, production-grade software using modern languages and tools. Deep understanding of software architecture, design, development, debugging, and code quality/review assessment. Excellent oral and written communication skills for clear, structured evaluation rationales. Commitment: flexible engagement, minimum 10 hrs/week, up to 40 hrs/week (partial PST overlap required) Type: Contractor (no medical/paid leave) Duration: 1 month (starting next week; potential extensions based on performance and fit) Location: Candidates must be based out of US, Canada or WEU countries (UK, Netherlands, Italy, Germany, ) Note: As part of assessments you will go through an AI video interview. After applying, you will receive an email with a login link. Please use that link to access the portal and complete your profile.
About Turing Based in San Francisco, California, Turing is the world's leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in software engineering, logical reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L. Project Overview What Does a Typical Day Look Like? Evaluate and refine AI-generated code to ensure that it is efficient, scalable, and reliable. Collaborate with cross-functional teams to enhance AI-driven coding solutions against industry performance benchmarks. Build agents that can verify the quality of the code and identify error patterns. Hypothesize on steps in the software engineering cycle (prototyping, architecture design, API design, production implementation, launch, experiments, monitoring, operational maintenance) and evaluate model capabilities on them. Design verification mechanisms that can automatically verify a solution to a software engineering task. Responsibilities Evaluate and refine AI-generated code to ensure that it is efficient, scalable, and reliable. Collaborate with cross-functional teams to enhance AI-driven coding solutions against industry performance benchmarks. Build agents that can verify the quality of the code and identify error patterns. Hypothesize on steps in the software engineering cycle (prototyping, architecture design, API design, production implementation, launch, experiments, monitoring, operational maintenance) and evaluate model capabilities on them. Design verification mechanisms that can automatically verify a solution to a software engineering task. Required Skills Several years of software engineering experience (+5 years), including 2+years of continuous full-time experience at a top-tier product company (e.g., Google, Stripe, Amazon, Apple, Meta, Netflix, Microsoft, Datadog, Dropbox, Shopify, PayPal, IBM Research). Strong expertise in building full-stack applications and deploying scalable, production-grade software using modern languages and tools. Deep understanding of software architecture, design, development, debugging, and code quality/review assessment. Excellent oral and written communication skills for clear, structured evaluation rationales. Commitment: flexible engagement, minimum 10 hrs/week, up to 40 hrs/week (partial PST overlap required) Type: Contractor (no medical/paid leave) Duration: 1 month (starting next week; potential extensions based on performance and fit) Location: Candidates must be based out of US, Canada or WEU countries (UK, Netherlands, Italy, Germany, ) Additional Information Note: As part of assessments you will go through an AI video interview. After applying, you will receive an email with a login link. Please use that link to access the portal and complete your profile. Know amazing talent? Refer them at and earn money from your network. Referrals increase your chances of interviewing at Turing by 2x Get notified about new Software Engineer jobs in San Diego, CA.
04/05/2026
Full time
About Turing Based in San Francisco, California, Turing is the world's leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in software engineering, logical reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L. Project Overview What Does a Typical Day Look Like? Evaluate and refine AI-generated code to ensure that it is efficient, scalable, and reliable. Collaborate with cross-functional teams to enhance AI-driven coding solutions against industry performance benchmarks. Build agents that can verify the quality of the code and identify error patterns. Hypothesize on steps in the software engineering cycle (prototyping, architecture design, API design, production implementation, launch, experiments, monitoring, operational maintenance) and evaluate model capabilities on them. Design verification mechanisms that can automatically verify a solution to a software engineering task. Responsibilities Evaluate and refine AI-generated code to ensure that it is efficient, scalable, and reliable. Collaborate with cross-functional teams to enhance AI-driven coding solutions against industry performance benchmarks. Build agents that can verify the quality of the code and identify error patterns. Hypothesize on steps in the software engineering cycle (prototyping, architecture design, API design, production implementation, launch, experiments, monitoring, operational maintenance) and evaluate model capabilities on them. Design verification mechanisms that can automatically verify a solution to a software engineering task. Required Skills Several years of software engineering experience (+5 years), including 2+years of continuous full-time experience at a top-tier product company (e.g., Google, Stripe, Amazon, Apple, Meta, Netflix, Microsoft, Datadog, Dropbox, Shopify, PayPal, IBM Research). Strong expertise in building full-stack applications and deploying scalable, production-grade software using modern languages and tools. Deep understanding of software architecture, design, development, debugging, and code quality/review assessment. Excellent oral and written communication skills for clear, structured evaluation rationales. Commitment: flexible engagement, minimum 10 hrs/week, up to 40 hrs/week (partial PST overlap required) Type: Contractor (no medical/paid leave) Duration: 1 month (starting next week; potential extensions based on performance and fit) Location: Candidates must be based out of US, Canada or WEU countries (UK, Netherlands, Italy, Germany, ) Additional Information Note: As part of assessments you will go through an AI video interview. After applying, you will receive an email with a login link. Please use that link to access the portal and complete your profile. Know amazing talent? Refer them at and earn money from your network. Referrals increase your chances of interviewing at Turing by 2x Get notified about new Software Engineer jobs in San Diego, CA.
2 days ago Be among the first 25 applicants We are developing high-quality training and evaluation datasets to improve how Large Language Models (LLMs) perform on real software engineering problems. The core of this project involves identifying and curating verifiable coding tasks from public GitHub repositories, supported by a human-in-the-loop review process. As a contractor on this project, you will review code written by AI to solve real software tasks. Your feedback will help improve how future AI models learn to write and understand code. Key Responsibilities Review and compare 3-4 model-generated code responses for each task using a structured ranking framework Assess code changes (diffs) for correctness, quality, readability, and performance Provide clear, concise explanations for your ranking decisions Maintain consistency and fairness across all evaluations Identify and document edge cases or unusual model behavior Collaborate with the team to improve evaluation processes and identify improvement areas Required Qualifications Professional Experience Several years of experience as a software engineer (experience working as a data scientist will not be considered) Minimum 2 years of experience as a full-stack engineer at a leading tech product company (e.g., Google, Shopify, Microsoft, Snowflake, Meta, PayPal, etc.) Note: Experience from contractual or part-time roles will not be considered. Only full-time employment qualifies. Technical Skills Strong understanding of software design, debugging, and engineering best practices Familiarity with code review processes and version control systems Ability to analyze and compare real-world code changes Excellent written communication skills for clearly explaining technical evaluations Preferred Qualifications Degree from a top-ranked university is preferred but not required Experience working with LLM-generated code or AI evaluation projects Background in developer tools or systems automation Exposure to AI research or developer agents Commitment: 10-20 hours/week, with flexible work hours (partial overlap with Pacific Time) Duration: 1 month (starting next week, with potential for extension) Compensation: $50-$150/hour, based on experience, geography, and skill level About Turing: Turing is one of the world's fastest-growing AI companies, pushing the boundaries of AI-assisted software development. Our mission is to empower the next generation of AI systems to reason about and work with real-world software repositories. You'll be working at the intersection of software engineering, open-source ecosystems, and frontier AI. If you have strong software engineering expertise and are interested in helping shape the next generation of AI-assisted development tools, we encourage you to apply. Seniorit y level Mid-Senior level Employment type Contract Job function Information Technology and Engineering Software Development About listings: Referrals are not a guarantee of interview opportunities. This description reflects the role to be performed and does not include all responsibilities and requirements.
04/05/2026
Full time
2 days ago Be among the first 25 applicants We are developing high-quality training and evaluation datasets to improve how Large Language Models (LLMs) perform on real software engineering problems. The core of this project involves identifying and curating verifiable coding tasks from public GitHub repositories, supported by a human-in-the-loop review process. As a contractor on this project, you will review code written by AI to solve real software tasks. Your feedback will help improve how future AI models learn to write and understand code. Key Responsibilities Review and compare 3-4 model-generated code responses for each task using a structured ranking framework Assess code changes (diffs) for correctness, quality, readability, and performance Provide clear, concise explanations for your ranking decisions Maintain consistency and fairness across all evaluations Identify and document edge cases or unusual model behavior Collaborate with the team to improve evaluation processes and identify improvement areas Required Qualifications Professional Experience Several years of experience as a software engineer (experience working as a data scientist will not be considered) Minimum 2 years of experience as a full-stack engineer at a leading tech product company (e.g., Google, Shopify, Microsoft, Snowflake, Meta, PayPal, etc.) Note: Experience from contractual or part-time roles will not be considered. Only full-time employment qualifies. Technical Skills Strong understanding of software design, debugging, and engineering best practices Familiarity with code review processes and version control systems Ability to analyze and compare real-world code changes Excellent written communication skills for clearly explaining technical evaluations Preferred Qualifications Degree from a top-ranked university is preferred but not required Experience working with LLM-generated code or AI evaluation projects Background in developer tools or systems automation Exposure to AI research or developer agents Commitment: 10-20 hours/week, with flexible work hours (partial overlap with Pacific Time) Duration: 1 month (starting next week, with potential for extension) Compensation: $50-$150/hour, based on experience, geography, and skill level About Turing: Turing is one of the world's fastest-growing AI companies, pushing the boundaries of AI-assisted software development. Our mission is to empower the next generation of AI systems to reason about and work with real-world software repositories. You'll be working at the intersection of software engineering, open-source ecosystems, and frontier AI. If you have strong software engineering expertise and are interested in helping shape the next generation of AI-assisted development tools, we encourage you to apply. Seniorit y level Mid-Senior level Employment type Contract Job function Information Technology and Engineering Software Development About listings: Referrals are not a guarantee of interview opportunities. This description reflects the role to be performed and does not include all responsibilities and requirements.
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.
Senior Product Manager, New Bets Base pay: $170,000.00/yr - $180,000.00/yr About Us Fieldguide is establishing a new state of trust for global commerce and capital markets through automating and streamlining the work of assurance and audit practitioners specifically within cybersecurity, privacy, and financial audit. We build software and AI Agents for the people who enable trust between businesses. We're based in San Francisco, CA and are backed by top investors including Bessemer Venture Partners, 8VC, Floodgate, Y Combinator, DNX Ventures, Global Founders Capital, Justin Kan, Elad Gil, and more. We value diversity in backgrounds and experiences and seek teammates who are strong in their own aptitudes and care deeply about supporting each other's growth. As an early stage startup, you'll build the future of business trust by eliminating up to 50% of audit practitioners' work and giving them better work life balance. If you share our values and enthusiasm for building a great culture and product, you will find a home at Fieldguide. About The Role As a key member of our New Bets pillar, you will be instrumental in exploring new product opportunities. You will lead the process from ideation and concept stages to validating and testing key assumptions, and ultimately designing, testing, and building an MVP that can scale if successful. Outcome 1: Test, validate and build product MVPs Partner closely with cross functional teams and prospects/customers to generate product concepts that resonate with the intended audience Identify and validate the key assumptions required to ensure the product has the potential to become materially revenue generating at scale Define scope and make strategic trade offs to bring the strongest concepts to market quickly, ensuring clear success criteria are established, measured, and acted upon Outcome 2: Scale up a successful MVP Build and execute a product roadmap that evolves the MVP into a scalable, durable product Work with our GTM teams to align on value propositions and drive sales Continuously validate assumptions as the product grows, applying learnings to iterate and improve the experience What You'll Do Lead end to end discovery, ideation, and validation of new product opportunities Define and launch MVPs with clear scope, success criteria, and informed trade offs Collaborate with cross functional teams to rapidly test, iterate, and deliver product concepts Validate financial, technical, and operational assumptions to ensure long term scalability Analyze user feedback and product data to drive continuous improvement post launch Align product direction with strategic objectives and measurable business outcomes Engage designers, engineers, and analysts in shaping product strategy and key decisions This is primarily an in person role with at least 3 days a week in our San Francisco office. It'll require occasional travel (once a month) to be onsite with our clients Who You Are 2 4+ years experience in product management building 0 1 products Comfortable with ambiguity that comes with launching new products Strong cross functional collaboration skills with internal and external stakeholders Degree in a technical or related field, or equivalent professional experience Bonus Points Domain expertise in Audit, Assurance or Accounting AI related experience (experience developing AI agents a plus) Some coding experience with React, Typescript, and Go MBA or equivalent professional experience (while this is a product management role, you will have the opportunity to lean into broader business roles) Past roles that interface with end customers to influence software development More About Fieldguide Fearless - Inspire & break down seemingly impossible walls Fast - Launch fast with excellence, iterate to perfection Lovable - Deliver happiness & 11 star experiences Owners - Execute & run the business with ownership Win win - Create mutual value & earn trust for life Inclusive - Scale the best ideas with inclusive teams Benefits Competitive compensation packages with meaningful ownership Flexible PTO 401k Wellness benefits, including a bundle of free therapy sessions Technology & Work from Home reimbursement Flexible work schedules Seniority level Mid Senior level Employment type Full time Job function Product Management and Marketing Industries Software Development
04/05/2026
Full time
Senior Product Manager, New Bets Base pay: $170,000.00/yr - $180,000.00/yr About Us Fieldguide is establishing a new state of trust for global commerce and capital markets through automating and streamlining the work of assurance and audit practitioners specifically within cybersecurity, privacy, and financial audit. We build software and AI Agents for the people who enable trust between businesses. We're based in San Francisco, CA and are backed by top investors including Bessemer Venture Partners, 8VC, Floodgate, Y Combinator, DNX Ventures, Global Founders Capital, Justin Kan, Elad Gil, and more. We value diversity in backgrounds and experiences and seek teammates who are strong in their own aptitudes and care deeply about supporting each other's growth. As an early stage startup, you'll build the future of business trust by eliminating up to 50% of audit practitioners' work and giving them better work life balance. If you share our values and enthusiasm for building a great culture and product, you will find a home at Fieldguide. About The Role As a key member of our New Bets pillar, you will be instrumental in exploring new product opportunities. You will lead the process from ideation and concept stages to validating and testing key assumptions, and ultimately designing, testing, and building an MVP that can scale if successful. Outcome 1: Test, validate and build product MVPs Partner closely with cross functional teams and prospects/customers to generate product concepts that resonate with the intended audience Identify and validate the key assumptions required to ensure the product has the potential to become materially revenue generating at scale Define scope and make strategic trade offs to bring the strongest concepts to market quickly, ensuring clear success criteria are established, measured, and acted upon Outcome 2: Scale up a successful MVP Build and execute a product roadmap that evolves the MVP into a scalable, durable product Work with our GTM teams to align on value propositions and drive sales Continuously validate assumptions as the product grows, applying learnings to iterate and improve the experience What You'll Do Lead end to end discovery, ideation, and validation of new product opportunities Define and launch MVPs with clear scope, success criteria, and informed trade offs Collaborate with cross functional teams to rapidly test, iterate, and deliver product concepts Validate financial, technical, and operational assumptions to ensure long term scalability Analyze user feedback and product data to drive continuous improvement post launch Align product direction with strategic objectives and measurable business outcomes Engage designers, engineers, and analysts in shaping product strategy and key decisions This is primarily an in person role with at least 3 days a week in our San Francisco office. It'll require occasional travel (once a month) to be onsite with our clients Who You Are 2 4+ years experience in product management building 0 1 products Comfortable with ambiguity that comes with launching new products Strong cross functional collaboration skills with internal and external stakeholders Degree in a technical or related field, or equivalent professional experience Bonus Points Domain expertise in Audit, Assurance or Accounting AI related experience (experience developing AI agents a plus) Some coding experience with React, Typescript, and Go MBA or equivalent professional experience (while this is a product management role, you will have the opportunity to lean into broader business roles) Past roles that interface with end customers to influence software development More About Fieldguide Fearless - Inspire & break down seemingly impossible walls Fast - Launch fast with excellence, iterate to perfection Lovable - Deliver happiness & 11 star experiences Owners - Execute & run the business with ownership Win win - Create mutual value & earn trust for life Inclusive - Scale the best ideas with inclusive teams Benefits Competitive compensation packages with meaningful ownership Flexible PTO 401k Wellness benefits, including a bundle of free therapy sessions Technology & Work from Home reimbursement Flexible work schedules Seniority level Mid Senior level Employment type Full time Job function Product Management and Marketing Industries Software Development
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
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)
1 day ago Be among the first 25 applicants We are building LLM evaluation and training datasets to train LLM to work on realistic software engineering problems. One of our approaches, in this project, is to build verifiable SWE tasks based on public repository histories in a synthetic approach with human-in-the-loop; while expanding the dataset coverage to different types of tasks in terms of programming language, difficulty level, and etc. About the Role: We are looking for experienced software engineers (tech lead level) who are familiar with high-quality public GitHub repositories and can contribute to this project. You should have experience working with well-maintained, widely-used repos with 500+ stars. This role involves hands-on software engineering work, including development environment automation, issue triaging, and evaluating test coverage and quality Why Join Us? Turing is one of the world's fastest-growing AI companies accelerating the advancement and deployment of powerful AI systems. You'll be at the forefront of evaluating how LLMs interact with real code, influencing the future of AI-assisted software development. This is a unique opportunity to blend practical software engineering with AI research. What does day-to-day look like: Analyze and triage GitHub issues across trending open-source libraries. Set up and configure code repositories, including Dockerization and environment setup. Evaluating unit test coverage and quality. Modify and run codebases locally to assess LLM performance in bug-fixing scenarios. Collaborate with researchers to design and identify repositories and issues that are challenging for LLMs. Opportunities to lead a team of junior engineers to collaborate on projects. Required Skills: Experience working with well-maintained, widely-used repositories with 500+ stars Proficiency with Git, Docker, and basic software pipeline setup. Ability to understand and navigate complex codebases. Comfortable running, modifying, and testing real-world projects locally. Experience contributing to or evaluating open-source projects is a plus. Note: Experience working with well-maintained, widely-used repositories (500+ stars) is required. Nice to Have: Previous participation in LLM research or evaluation projects. Experience building or testing developer tools or automation agents. Perks of Freelancing With Turing: Work in a fully remote environment. Opportunity to work on cutting-edge AI projects with leading LLM companies. Commitment required: 20 hours per week with some overlap with PST Employment type: Contractor assignment (no medical/paid leave) Duration of contract: 1 month with expected start date as next week Seniority level Seniority levelMid-Senior level Employment type Employment typeContract Job function Job functionEngineering and Information Technology IndustriesSoftware Development Referrals increase your chances of interviewing at Turing by 2x Sign in to set job alerts for "Software Engineer" roles.Software Engineer Internship (12 months) San Francisco, CA $150,000.00-$175,000.00 3 weeks ago Software Engineer Intern/Co-op (Fall 2025)Software Engineer, Python - AI Training (Freelance, Remote)Software Engineer, SQL - AI Training (Freelance, Remote)Coders - AI Training (Freelance, Remote)Software Engineer, TypeScript - AI Training (Freelance, Remote)Software Engineer - AI Training (Freelance, Remote) Alameda, CA $120,000.00-$160,000.00 3 months ago Software Engineer, C# - AI Training (Freelance, Remote) 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
1 day ago Be among the first 25 applicants We are building LLM evaluation and training datasets to train LLM to work on realistic software engineering problems. One of our approaches, in this project, is to build verifiable SWE tasks based on public repository histories in a synthetic approach with human-in-the-loop; while expanding the dataset coverage to different types of tasks in terms of programming language, difficulty level, and etc. About the Role: We are looking for experienced software engineers (tech lead level) who are familiar with high-quality public GitHub repositories and can contribute to this project. You should have experience working with well-maintained, widely-used repos with 500+ stars. This role involves hands-on software engineering work, including development environment automation, issue triaging, and evaluating test coverage and quality Why Join Us? Turing is one of the world's fastest-growing AI companies accelerating the advancement and deployment of powerful AI systems. You'll be at the forefront of evaluating how LLMs interact with real code, influencing the future of AI-assisted software development. This is a unique opportunity to blend practical software engineering with AI research. What does day-to-day look like: Analyze and triage GitHub issues across trending open-source libraries. Set up and configure code repositories, including Dockerization and environment setup. Evaluating unit test coverage and quality. Modify and run codebases locally to assess LLM performance in bug-fixing scenarios. Collaborate with researchers to design and identify repositories and issues that are challenging for LLMs. Opportunities to lead a team of junior engineers to collaborate on projects. Required Skills: Experience working with well-maintained, widely-used repositories with 500+ stars Proficiency with Git, Docker, and basic software pipeline setup. Ability to understand and navigate complex codebases. Comfortable running, modifying, and testing real-world projects locally. Experience contributing to or evaluating open-source projects is a plus. Note: Experience working with well-maintained, widely-used repositories (500+ stars) is required. Nice to Have: Previous participation in LLM research or evaluation projects. Experience building or testing developer tools or automation agents. Perks of Freelancing With Turing: Work in a fully remote environment. Opportunity to work on cutting-edge AI projects with leading LLM companies. Commitment required: 20 hours per week with some overlap with PST Employment type: Contractor assignment (no medical/paid leave) Duration of contract: 1 month with expected start date as next week Seniority level Seniority levelMid-Senior level Employment type Employment typeContract Job function Job functionEngineering and Information Technology IndustriesSoftware Development Referrals increase your chances of interviewing at Turing by 2x Sign in to set job alerts for "Software Engineer" roles.Software Engineer Internship (12 months) San Francisco, CA $150,000.00-$175,000.00 3 weeks ago Software Engineer Intern/Co-op (Fall 2025)Software Engineer, Python - AI Training (Freelance, Remote)Software Engineer, SQL - AI Training (Freelance, Remote)Coders - AI Training (Freelance, Remote)Software Engineer, TypeScript - AI Training (Freelance, Remote)Software Engineer - AI Training (Freelance, Remote) Alameda, CA $120,000.00-$160,000.00 3 months ago Software Engineer, C# - AI Training (Freelance, Remote) We're unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
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).
At Klaviyo, we value the unique backgrounds, experiences and perspectives each Klaviyo (we call ourselves Klaviyos) brings to our workplace each and every day. We believe everyone deserves a fair shot at success and appreciate the experiences each person brings beyond the traditional job requirements. Lead Software AI Engineer: We believe the future of software lies not in productivity tools for human users but in software that can run and optimize itself based on outcome or reward metrics. We've built the infrastructure and application that serve as the interface between businesses and consumers. We now have over 167,000 customers, billions of consumer profiles, and hundreds of billions of customer messages and follow-on conversion data. As a Lead Software AI Engineer at Klaviyo, you'll set technical direction and drive the design of scalable backend systems and AI-powered user experiences that form the foundation of our AI product strategy. You'll work closely with product managers, machine learning engineers, and data scientists while mentoring engineers and shaping architectural decisions. How You Will Make a Difference Lead the design and development of backend systems that enable scalable AI solutions for 167K+ customers. Architect robust, reliable, and scalable data pipelines that train and serve AI/ML models at scale. Drive the integration of LLMs into production systems, powering AI agents that create and execute real-time customer experiences. Establish best practices for model evaluation, monitoring, and performance across generative and agentic AI use cases. Mentor and guide engineers, fostering a culture of technical excellence, ownership, and customer-centric product thinking. Partner with cross-functional leaders to influence AI product strategy and deliver high-impact solutions. Who You Are 7-10 years of professional software engineering experience, with a strong focus on backend systems and distributed architectures. Recent, hands-on experience with AI/ML and LLMs, including fine-tuning, evaluation, and production deployment. Proven ability to design and scale distributed systems that support AI-driven applications and agent capabilities. Proficient in Python and modern backend frameworks (FastAPI, Django preferred). Skilled with big data tools (Apache Spark, Hadoop) and distributed task queues (Kafka, Celery, SQS, RabbitMQ, Redis). Experienced in architecting APIs and cloud-native solutions (AWS, Kubernetes, CI/CD pipelines). Demonstrated technical leadership - mentoring engineers, shaping architecture, and raising the bar for engineering practices. Thrives in a fast-paced, startup-like environment with high autonomy and ownership. Curious, adaptable, and motivated to stay on the cutting edge of AI/ML research and apply it to real-world business challenges. Nice to Have Experience training and deploying reinforcement learning systems. Prior experience leading cross-functional initiatives involving data science, ML engineering, and product. Klaviyo is committed to a policy of equal opportunity and non-discrimination. We do not discriminate on the basis of race, ethnicity, citizenship, national origin, color, religion or religious creed, age, sex (including pregnancy), gender identity, sexual orientation, physical or mental disability, veteran or active military status, marital status, criminal record, genetics, retaliation, sexual harassment or any other characteristic protected by applicable law.
04/05/2026
Full time
At Klaviyo, we value the unique backgrounds, experiences and perspectives each Klaviyo (we call ourselves Klaviyos) brings to our workplace each and every day. We believe everyone deserves a fair shot at success and appreciate the experiences each person brings beyond the traditional job requirements. Lead Software AI Engineer: We believe the future of software lies not in productivity tools for human users but in software that can run and optimize itself based on outcome or reward metrics. We've built the infrastructure and application that serve as the interface between businesses and consumers. We now have over 167,000 customers, billions of consumer profiles, and hundreds of billions of customer messages and follow-on conversion data. As a Lead Software AI Engineer at Klaviyo, you'll set technical direction and drive the design of scalable backend systems and AI-powered user experiences that form the foundation of our AI product strategy. You'll work closely with product managers, machine learning engineers, and data scientists while mentoring engineers and shaping architectural decisions. How You Will Make a Difference Lead the design and development of backend systems that enable scalable AI solutions for 167K+ customers. Architect robust, reliable, and scalable data pipelines that train and serve AI/ML models at scale. Drive the integration of LLMs into production systems, powering AI agents that create and execute real-time customer experiences. Establish best practices for model evaluation, monitoring, and performance across generative and agentic AI use cases. Mentor and guide engineers, fostering a culture of technical excellence, ownership, and customer-centric product thinking. Partner with cross-functional leaders to influence AI product strategy and deliver high-impact solutions. Who You Are 7-10 years of professional software engineering experience, with a strong focus on backend systems and distributed architectures. Recent, hands-on experience with AI/ML and LLMs, including fine-tuning, evaluation, and production deployment. Proven ability to design and scale distributed systems that support AI-driven applications and agent capabilities. Proficient in Python and modern backend frameworks (FastAPI, Django preferred). Skilled with big data tools (Apache Spark, Hadoop) and distributed task queues (Kafka, Celery, SQS, RabbitMQ, Redis). Experienced in architecting APIs and cloud-native solutions (AWS, Kubernetes, CI/CD pipelines). Demonstrated technical leadership - mentoring engineers, shaping architecture, and raising the bar for engineering practices. Thrives in a fast-paced, startup-like environment with high autonomy and ownership. Curious, adaptable, and motivated to stay on the cutting edge of AI/ML research and apply it to real-world business challenges. Nice to Have Experience training and deploying reinforcement learning systems. Prior experience leading cross-functional initiatives involving data science, ML engineering, and product. Klaviyo is committed to a policy of equal opportunity and non-discrimination. We do not discriminate on the basis of race, ethnicity, citizenship, national origin, color, religion or religious creed, age, sex (including pregnancy), gender identity, sexual orientation, physical or mental disability, veteran or active military status, marital status, criminal record, genetics, retaliation, sexual harassment or any other characteristic protected by applicable law.
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
Project Overview Based in San Francisco, California, Turing is the world's leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in software engineering, logical reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L. Typical Day Evaluate and refine AI-generated code to ensure that it is efficient, scalable, and reliable. Collaborate with cross-functional teams to enhance AI-driven coding solutions against industry performance benchmarks. Build agents that can verify the quality of the code and identify error patterns. Hypothesize on steps in the software engineering cycle (prototyping, architecture design, API design, production implementation, launch, experiments, monitoring, operational maintenance) and evaluate model capabilities on them. Design verification mechanisms that can automatically verify a solution to a software engineering task. Required Skills Several years of software engineering experience (+5 years), including 2+ years of continuous full-time experience at a top-tier product company (e.g., Google, Stripe, Amazon, Apple, Meta, Netflix, Microsoft, Datadog, Dropbox, Shopify, PayPal, IBM Research). Strong expertise in building full-stack applications and deploying scalable, production-grade software using modern languages and tools. Deep understanding of software architecture, design, development, debugging, and code quality/review assessment. Excellent oral and written communication skills for clear, structured evaluation rationales. Commitment: flexible engagement, minimum 10 hrs/week, up to 40 hrs/week (partial PST overlap required) Type: Contractor (no medical/paid leave) Duration: 1 month (starting next week; potential extensions based on performance and fit) Location: Candidates must be based out of US, Canada or WEU countries (UK, Netherlands, Italy, Germany, ) Note: As part of assessments you will go through an AI video interview. After applying, you will receive an email with a login link. Please use that link to access the portal and complete your profile.
04/05/2026
Full time
Project Overview Based in San Francisco, California, Turing is the world's leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in software engineering, logical reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L. Typical Day Evaluate and refine AI-generated code to ensure that it is efficient, scalable, and reliable. Collaborate with cross-functional teams to enhance AI-driven coding solutions against industry performance benchmarks. Build agents that can verify the quality of the code and identify error patterns. Hypothesize on steps in the software engineering cycle (prototyping, architecture design, API design, production implementation, launch, experiments, monitoring, operational maintenance) and evaluate model capabilities on them. Design verification mechanisms that can automatically verify a solution to a software engineering task. Required Skills Several years of software engineering experience (+5 years), including 2+ years of continuous full-time experience at a top-tier product company (e.g., Google, Stripe, Amazon, Apple, Meta, Netflix, Microsoft, Datadog, Dropbox, Shopify, PayPal, IBM Research). Strong expertise in building full-stack applications and deploying scalable, production-grade software using modern languages and tools. Deep understanding of software architecture, design, development, debugging, and code quality/review assessment. Excellent oral and written communication skills for clear, structured evaluation rationales. Commitment: flexible engagement, minimum 10 hrs/week, up to 40 hrs/week (partial PST overlap required) Type: Contractor (no medical/paid leave) Duration: 1 month (starting next week; potential extensions based on performance and fit) Location: Candidates must be based out of US, Canada or WEU countries (UK, Netherlands, Italy, Germany, ) Note: As part of assessments you will go through an AI video interview. After applying, you will receive an email with a login link. Please use that link to access the portal and complete your profile.
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.