Company: One of our consumer AI investments is hiring an ML Infrastructure Engineer. The founding team helped build iconic consumer products at Pinterest, Lyft, Whatnot, Grubhub, and others. We led the Seed round, and the company is finalizing a Series A with another tier-1 VC. Team size: 20+ (and growing) The opportunity: You'll be an early ML Infra hire helping scale training and inference systems that directly power a consumer product. This is a hands-on role with real ownership: reliability, performance, cost, and developer velocity. What you'll do: Build and operate large-scale ML infrastructure for training and inference (GPU compute, orchestration, model serving) Own core systems for data and feature pipelines, model artifacts, experiment tracking, and evaluation Improve observability and reliability across ML and production systems (monitoring, debugging, incident response, SLAs) Drive efficiency across the stack (latency, throughput, cost, capacity planning) Partner closely with researchers/ML engineers/product engineers to unblock shipping Role (key traits): 3+ years building large-scale distributed systems infrastructure; 2+ years building modern ML systems in industry: ML training and inference systems, large-scale distributed infrastructure, GPU-backed compute, Kubernetes and cloud infrastructure, production reliability, Python + a systems language, PyTorch or TensorFlow BSCS or equivalent (MSCS preferred) Strong coding and systems fundamentals (production-grade engineering, not just prototypes) Good fit for this role if you have: Owned production ML training and/or serving infrastructure end-to-end (not just model development) Experience with distributed compute and data systems (scheduler/orchestration, storage, streaming/batch, reliability) Comfort operating systems in production: on-call mindset, instrumentation, performance tuning, cost discipline Built internal platforms that improved ML developer velocity (reusable pipelines, tooling, paved roads) Enjoyed ambiguity while moving quickly with a small team, and you like building "the system" as much as "the model" Not a good fit for this role if you're primarily: Focused on research or model architecture work and don't want to own production systems Looking for a role with minimal on-call/ops responsibilities or limited accountability for reliability Experienced only with notebooks/prototypes and not with production-grade infra and debugging Targeting more specialized scope rather than broad ownership across the ML stack About Us: Greylock is an early-stage investor in hundreds of remarkable companies including Figma, Rubrik, Airbnb, LinkedIn, Dropbox, Workday, Cloudera, Facebook, Instagram, among others. More can be found about us here: And, as full-time, salaried employees of Greylock, we provide free candidate referrals/introductions to our active investments to help them grow/succeed (as one of the many services we provide). Please note: We are not recruiting for any roles within Greylock at this time only for openings within our portfolio.
04/03/2026
Full time
Company: One of our consumer AI investments is hiring an ML Infrastructure Engineer. The founding team helped build iconic consumer products at Pinterest, Lyft, Whatnot, Grubhub, and others. We led the Seed round, and the company is finalizing a Series A with another tier-1 VC. Team size: 20+ (and growing) The opportunity: You'll be an early ML Infra hire helping scale training and inference systems that directly power a consumer product. This is a hands-on role with real ownership: reliability, performance, cost, and developer velocity. What you'll do: Build and operate large-scale ML infrastructure for training and inference (GPU compute, orchestration, model serving) Own core systems for data and feature pipelines, model artifacts, experiment tracking, and evaluation Improve observability and reliability across ML and production systems (monitoring, debugging, incident response, SLAs) Drive efficiency across the stack (latency, throughput, cost, capacity planning) Partner closely with researchers/ML engineers/product engineers to unblock shipping Role (key traits): 3+ years building large-scale distributed systems infrastructure; 2+ years building modern ML systems in industry: ML training and inference systems, large-scale distributed infrastructure, GPU-backed compute, Kubernetes and cloud infrastructure, production reliability, Python + a systems language, PyTorch or TensorFlow BSCS or equivalent (MSCS preferred) Strong coding and systems fundamentals (production-grade engineering, not just prototypes) Good fit for this role if you have: Owned production ML training and/or serving infrastructure end-to-end (not just model development) Experience with distributed compute and data systems (scheduler/orchestration, storage, streaming/batch, reliability) Comfort operating systems in production: on-call mindset, instrumentation, performance tuning, cost discipline Built internal platforms that improved ML developer velocity (reusable pipelines, tooling, paved roads) Enjoyed ambiguity while moving quickly with a small team, and you like building "the system" as much as "the model" Not a good fit for this role if you're primarily: Focused on research or model architecture work and don't want to own production systems Looking for a role with minimal on-call/ops responsibilities or limited accountability for reliability Experienced only with notebooks/prototypes and not with production-grade infra and debugging Targeting more specialized scope rather than broad ownership across the ML stack About Us: Greylock is an early-stage investor in hundreds of remarkable companies including Figma, Rubrik, Airbnb, LinkedIn, Dropbox, Workday, Cloudera, Facebook, Instagram, among others. More can be found about us here: And, as full-time, salaried employees of Greylock, we provide free candidate referrals/introductions to our active investments to help them grow/succeed (as one of the many services we provide). Please note: We are not recruiting for any roles within Greylock at this time only for openings within our portfolio.
We are looking for a CTO to join a successful repeat founder and a former AI Labs executive. This is a rare opportunity for a high-agency engineer ready to leverage their deep architectural experience to build from the ground up. If you are tired of maintaining legacy systems and want to own major technology decisions from day one, this is your chance. You will be the primary architect and lead engineer, responsible for building the initial product from scratch. You will have complete autonomy over the technology stack, system design, and engineering culture. More details will be provided What They Value Deep Generalists Technical Expertise: You have a strong background in distributed systems, API design, and modern web/mobile application architecture. Builder Mindset: You are comfortable working with ambiguity and operating as an Individual Contributor (IC) to get the product off the ground. Architectural Vision: You can design systems that are robust enough for launch but flexible enough for rapid iteration. Pragmatism: You know when to build custom solutions and when to leverage existing tools to move fast. Stage Seed About Greylock Greylock is an early-stage investor in hundreds of remarkable companies, including Airbnb, LinkedIn, Dropbox, Workday, Cloudera, Facebook, Instagram, Roblox, Coinbase, Palo Alto Networks, among others. More can be found about us here:
04/02/2026
Full time
We are looking for a CTO to join a successful repeat founder and a former AI Labs executive. This is a rare opportunity for a high-agency engineer ready to leverage their deep architectural experience to build from the ground up. If you are tired of maintaining legacy systems and want to own major technology decisions from day one, this is your chance. You will be the primary architect and lead engineer, responsible for building the initial product from scratch. You will have complete autonomy over the technology stack, system design, and engineering culture. More details will be provided What They Value Deep Generalists Technical Expertise: You have a strong background in distributed systems, API design, and modern web/mobile application architecture. Builder Mindset: You are comfortable working with ambiguity and operating as an Individual Contributor (IC) to get the product off the ground. Architectural Vision: You can design systems that are robust enough for launch but flexible enough for rapid iteration. Pragmatism: You know when to build custom solutions and when to leverage existing tools to move fast. Stage Seed About Greylock Greylock is an early-stage investor in hundreds of remarkable companies, including Airbnb, LinkedIn, Dropbox, Workday, Cloudera, Facebook, Instagram, Roblox, Coinbase, Palo Alto Networks, among others. More can be found about us here:
Early-stage, cybersecurity investment (valued over $100M at Seed), founded by a successful serial entrepreneur, is looking to hire a Founding MLE with a strong background standing up training/inference pipelines in the cloud (GCP/AWS), good MLOps familiarity, and full end to end ownership. Summary Help architect the core ML pipelines and codebase for an industry first solution in security. Our ideal candidate will be able to take research grade ML experiments and ensure they can be run in a stable and repeatable manner in the enterprise. Key Qualifications Advanced degree in CS (or a related field) with 4+ years industry experience and 1+ years working with LLMs in a large scale production environment Prior experience with a zero to one Proven ability to collaborate across different teams and adapt to new fields Design and train machine learning models from scratch, developing and testing new architectures on large, complex datasets Build and optimize end to end training pipelines, including data preprocessing, distributed training, and experiment tracking Tune and evaluate model performance through systematic experimentation, hyperparameter optimization, and metric analysis Collaborate with data and infrastructure teams to manage compute resources, ensure reproducibility, and prepare models for deployment
04/02/2026
Full time
Early-stage, cybersecurity investment (valued over $100M at Seed), founded by a successful serial entrepreneur, is looking to hire a Founding MLE with a strong background standing up training/inference pipelines in the cloud (GCP/AWS), good MLOps familiarity, and full end to end ownership. Summary Help architect the core ML pipelines and codebase for an industry first solution in security. Our ideal candidate will be able to take research grade ML experiments and ensure they can be run in a stable and repeatable manner in the enterprise. Key Qualifications Advanced degree in CS (or a related field) with 4+ years industry experience and 1+ years working with LLMs in a large scale production environment Prior experience with a zero to one Proven ability to collaborate across different teams and adapt to new fields Design and train machine learning models from scratch, developing and testing new architectures on large, complex datasets Build and optimize end to end training pipelines, including data preprocessing, distributed training, and experiment tracking Tune and evaluate model performance through systematic experimentation, hyperparameter optimization, and metric analysis Collaborate with data and infrastructure teams to manage compute resources, ensure reproducibility, and prepare models for deployment
A leading investment firm is seeking a Senior Data Scientist to lead analytics for sales, marketing, and customer success. The role involves finding insights in data, running experiments, and creating models to enhance customer engagement. Candidates should have at least 5 years of relevant experience, strong SQL skills, and a proven ability to communicate data insights effectively. This is a full-time position based in San Francisco, offering the chance to work with a startup in an innovative field.
04/02/2026
Full time
A leading investment firm is seeking a Senior Data Scientist to lead analytics for sales, marketing, and customer success. The role involves finding insights in data, running experiments, and creating models to enhance customer engagement. Candidates should have at least 5 years of relevant experience, strong SQL skills, and a proven ability to communicate data insights effectively. This is a full-time position based in San Francisco, offering the chance to work with a startup in an innovative field.
A cybersecurity investment firm in California is seeking a Founding Machine Learning Engineer to architect core ML pipelines and improve enterprise security solutions. The ideal candidate has an advanced degree in computer science, 4+ years of industry experience, and a proven ability to create ML models. You will work on optimizing training pipelines and ensuring reproducibility in a large-scale environment. This role offers the opportunity to collaborate across teams and contribute to a cutting-edge solution.
04/02/2026
Full time
A cybersecurity investment firm in California is seeking a Founding Machine Learning Engineer to architect core ML pipelines and improve enterprise security solutions. The ideal candidate has an advanced degree in computer science, 4+ years of industry experience, and a proven ability to create ML models. You will work on optimizing training pipelines and ensuring reproducibility in a large-scale environment. This role offers the opportunity to collaborate across teams and contribute to a cutting-edge solution.
Job Overview To help support the growth of several investments in the SF Bay Area, we're looking to connect with talented engineers who have strong infrastructure and distributed systems backgrounds and who are interested in scaling AI. Qualifications: If you have 3+ years of industry experience in ML Infra or AI Engineering, we'd like to hear from you. About Us About Us: Greylock is an early stage investor in hundreds of remarkable companies, including Airbnb, LinkedIn, Dropbox, Workday, Cloudera, Facebook, Instagram, Roblox, Coinbase, Palo Alto Networks, and others. More can be found about us here: How We Work We are full time, salaried employees of Greylock and provide free candidate referrals and introductions to our active investments. We will contact anyone who looks like a potential match to schedule a call immediately. Due to the selective nature of this service and the volume of applicants we typically receive from our job postings, a follow up email will not be sent until a match is identified with one of our investments. Please note: We are not recruiting for any roles within Greylock at this time. This job posting is for direct employment with startups in our portfolio.
04/02/2026
Full time
Job Overview To help support the growth of several investments in the SF Bay Area, we're looking to connect with talented engineers who have strong infrastructure and distributed systems backgrounds and who are interested in scaling AI. Qualifications: If you have 3+ years of industry experience in ML Infra or AI Engineering, we'd like to hear from you. About Us About Us: Greylock is an early stage investor in hundreds of remarkable companies, including Airbnb, LinkedIn, Dropbox, Workday, Cloudera, Facebook, Instagram, Roblox, Coinbase, Palo Alto Networks, and others. More can be found about us here: How We Work We are full time, salaried employees of Greylock and provide free candidate referrals and introductions to our active investments. We will contact anyone who looks like a potential match to schedule a call immediately. Due to the selective nature of this service and the volume of applicants we typically receive from our job postings, a follow up email will not be sent until a match is identified with one of our investments. Please note: We are not recruiting for any roles within Greylock at this time. This job posting is for direct employment with startups in our portfolio.
Get AI-powered advice on this job and more exclusive features. An early-stage investment of ours is looking to make their first IC hire in data science. This company builds tools that help teams understand how their AI systems perform and improve them over time (and they already have a lot of enterprise customers). We're looking for a Sr Data Scientist to lead analytics for sales, marketing, and customer success. The job is about finding insights in data, running analyses and experiments, and helping the business make better decisions. Responsibilities Analyze data to improve how the company finds, converts, and supports customers Create models that predict lead quality, conversion, and customer value Build clear dashboards and reports for leadership Work with teams across the company to answer key questions Take initiative, communicate clearly, and dig into data to solve problems Try new methods and tools to keep improving the company's GTM approach Qualifications 5+ years related industry experience working with data and supporting business teams. Solid experience analyzing GTM or revenue-related data Strong skills in SQL and modern analytics tools (Snowflake, Hex, dbt etc.) Comfortable owning data workflows-from cleaning and modeling to presenting insights. Able to work independently, prioritize well, and move projects forward without much direction. Clear thinker and communicator who can turn data into actionable recommendations. Adaptable and willing to learn new methods in a fast-paced environment. About Us Greylock is an early-stage investor in hundreds of remarkable companies including Airbnb, LinkedIn, Dropbox, Workday, Cloudera, Facebook, Instagram, Roblox, Coinbase, Palo Alto Networks, among others. More can be found about us here: How We Work We are full-time, salaried employees of Greylock and provide free candidate referrals/introductions to our active investments. We will contact anyone who looks like a potential match-requesting to schedule a call with you immediately. Due to the selective nature of this service and the volume of applicants we typically receive from our job postings, a follow-up email will not be sent until a match is identified with one of our investments. Please note: We are not recruiting for any roles within Greylock at this time. This job posting is for direct employment with a startup in our portfolio. Seniority level: Mid Senior level Employment type: Full-time Job function: Information Technology and Engineering Industries: Technology, Information and Internet, Software Development, and IT Services and IT Consulting
04/02/2026
Full time
Get AI-powered advice on this job and more exclusive features. An early-stage investment of ours is looking to make their first IC hire in data science. This company builds tools that help teams understand how their AI systems perform and improve them over time (and they already have a lot of enterprise customers). We're looking for a Sr Data Scientist to lead analytics for sales, marketing, and customer success. The job is about finding insights in data, running analyses and experiments, and helping the business make better decisions. Responsibilities Analyze data to improve how the company finds, converts, and supports customers Create models that predict lead quality, conversion, and customer value Build clear dashboards and reports for leadership Work with teams across the company to answer key questions Take initiative, communicate clearly, and dig into data to solve problems Try new methods and tools to keep improving the company's GTM approach Qualifications 5+ years related industry experience working with data and supporting business teams. Solid experience analyzing GTM or revenue-related data Strong skills in SQL and modern analytics tools (Snowflake, Hex, dbt etc.) Comfortable owning data workflows-from cleaning and modeling to presenting insights. Able to work independently, prioritize well, and move projects forward without much direction. Clear thinker and communicator who can turn data into actionable recommendations. Adaptable and willing to learn new methods in a fast-paced environment. About Us Greylock is an early-stage investor in hundreds of remarkable companies including Airbnb, LinkedIn, Dropbox, Workday, Cloudera, Facebook, Instagram, Roblox, Coinbase, Palo Alto Networks, among others. More can be found about us here: How We Work We are full-time, salaried employees of Greylock and provide free candidate referrals/introductions to our active investments. We will contact anyone who looks like a potential match-requesting to schedule a call with you immediately. Due to the selective nature of this service and the volume of applicants we typically receive from our job postings, a follow-up email will not be sent until a match is identified with one of our investments. Please note: We are not recruiting for any roles within Greylock at this time. This job posting is for direct employment with a startup in our portfolio. Seniority level: Mid Senior level Employment type: Full-time Job function: Information Technology and Engineering Industries: Technology, Information and Internet, Software Development, and IT Services and IT Consulting
Series A investment looking for a Sr. MLE with AI/ML expertise to build cutting-edge AI agent systems for financial compliance. You'll work at the intersection of software engineering and applied AI, turning the latest advancements in language models and agent frameworks into production-grade solutions that deliver real value for financial institutions. This is a hands-on role where you'll build robust, scalable systems that operate in live customer environments. You'll work directly with state-of-the-art AI technologies while ensuring the reliability and accuracy that regulated industries demand. Responsibilities: Design and implement agentic workflows, optimize prompt engineering, and develop RAG systems Build systems to measure, test, and improve AI performance Turn the latest advancements in applied AI into scalable, reliable software that operates seamlessly in enterprise environments Work closely with cross-functional teams to deliver AI features that solve real-world problems at scale Debug and improve AI system performance, from prompt optimization to retrieval system tuning Qualifications: BSCS & 4+ years of related industry experience with 1+ year focused on Generative AI/ML applications, leveraging modern LLM's (strong plus for exp with multi-agent workflows) Knowledge of retrieval-augmented generation (RAG) and vector search systems Proficiency in Python and experience with ML frameworks (PyTorch, TensorFlow, or similar) Familiarity with AI evaluation techniques and performance optimization About Us: Greylock is an early-stage investor in hundreds of remarkable companies including Airbnb, LinkedIn, Dropbox, Workday, Cloudera, Facebook, Instagram, Roblox, Coinbase, Palo Alto Networks, among others. More can be found about us here: How We Work: We are full-time, salaried employees of Greylock and provide free candidate referrals/introductions to our active investments. We will contact anyone who looks like a potential match requesting to schedule a call with you immediately. Due to the selective nature of this service and the volume of applicants we typically receive from our job postings, a follow-up email will not be sent until a match is identified with one of our investments. Please note: We are not recruiting for any roles within Greylock at this time. This job posting is for direct employment with a startup in our portfolio. Seniority level Seniority levelNot Applicable Employment type Employment typeFull-time Job function Job functionEngineering and Information Technology IndustriesSoftware Development and Technology, Information and Internet Referrals increase your chances of interviewing at Greylock Partners by 2x Get notified about new Machine Learning Engineer jobs in San Francisco, CA . Oakland, CA $10,279.00-$11,900.00 1 week ago San Francisco, CA $149,998.00-$250,000.00 2 days ago San Francisco, CA $140,670.00-$195,400. hours ago Research Engineer - Machine Learning (ML) San Francisco, CA $180,000.00-$240,000.00 2 weeks ago San Francisco, CA $140,000.00-$180,000.00 6 months ago Machine Learning Scientist, NLP (All Levels) San Francisco, CA $200,000.00-$300,000.00 5 months ago Machine Learning Engineer (I, II, or Sr.) San Francisco, CA $140,000.00-$235,000.00 6 days ago San Francisco, CA $160,000.00-$185,000.00 2 weeks ago Machine Learning Scientist, NLP (All Levels) San Francisco, CA $200,000.00-$300,000.00 5 months ago San Francisco, CA $150,000.00-$260,000.00 5 months ago San Francisco, CA $100,000.00-$180,000.00 1 year ago San Francisco, CA $115,000.00-$185,000.00 3 weeks ago Redwood City, CA $167,200.00-$250,800.00 2 weeks ago Machine Learning Engineer (I, II, or Sr.) San Francisco, CA $180,000.00-$270,000.00 4 months ago San Francisco, CA $140,000.00-$290,000.00 8 months ago San Francisco, CA $190,000.00-$355,000.00 2 weeks ago San Francisco, CA $100,000.00-$300,000.00 3 weeks ago San Francisco, CA $150,000.00-$250,000.00 1 month ago San Francisco, CA $175,000.00-$225,000.00 9 months ago San Mateo, CA $140,000.00-$210,000.00 1 month ago We're unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
04/02/2026
Full time
Series A investment looking for a Sr. MLE with AI/ML expertise to build cutting-edge AI agent systems for financial compliance. You'll work at the intersection of software engineering and applied AI, turning the latest advancements in language models and agent frameworks into production-grade solutions that deliver real value for financial institutions. This is a hands-on role where you'll build robust, scalable systems that operate in live customer environments. You'll work directly with state-of-the-art AI technologies while ensuring the reliability and accuracy that regulated industries demand. Responsibilities: Design and implement agentic workflows, optimize prompt engineering, and develop RAG systems Build systems to measure, test, and improve AI performance Turn the latest advancements in applied AI into scalable, reliable software that operates seamlessly in enterprise environments Work closely with cross-functional teams to deliver AI features that solve real-world problems at scale Debug and improve AI system performance, from prompt optimization to retrieval system tuning Qualifications: BSCS & 4+ years of related industry experience with 1+ year focused on Generative AI/ML applications, leveraging modern LLM's (strong plus for exp with multi-agent workflows) Knowledge of retrieval-augmented generation (RAG) and vector search systems Proficiency in Python and experience with ML frameworks (PyTorch, TensorFlow, or similar) Familiarity with AI evaluation techniques and performance optimization About Us: Greylock is an early-stage investor in hundreds of remarkable companies including Airbnb, LinkedIn, Dropbox, Workday, Cloudera, Facebook, Instagram, Roblox, Coinbase, Palo Alto Networks, among others. More can be found about us here: How We Work: We are full-time, salaried employees of Greylock and provide free candidate referrals/introductions to our active investments. We will contact anyone who looks like a potential match requesting to schedule a call with you immediately. Due to the selective nature of this service and the volume of applicants we typically receive from our job postings, a follow-up email will not be sent until a match is identified with one of our investments. Please note: We are not recruiting for any roles within Greylock at this time. This job posting is for direct employment with a startup in our portfolio. Seniority level Seniority levelNot Applicable Employment type Employment typeFull-time Job function Job functionEngineering and Information Technology IndustriesSoftware Development and Technology, Information and Internet Referrals increase your chances of interviewing at Greylock Partners by 2x Get notified about new Machine Learning Engineer jobs in San Francisco, CA . Oakland, CA $10,279.00-$11,900.00 1 week ago San Francisco, CA $149,998.00-$250,000.00 2 days ago San Francisco, CA $140,670.00-$195,400. hours ago Research Engineer - Machine Learning (ML) San Francisco, CA $180,000.00-$240,000.00 2 weeks ago San Francisco, CA $140,000.00-$180,000.00 6 months ago Machine Learning Scientist, NLP (All Levels) San Francisco, CA $200,000.00-$300,000.00 5 months ago Machine Learning Engineer (I, II, or Sr.) San Francisco, CA $140,000.00-$235,000.00 6 days ago San Francisco, CA $160,000.00-$185,000.00 2 weeks ago Machine Learning Scientist, NLP (All Levels) San Francisco, CA $200,000.00-$300,000.00 5 months ago San Francisco, CA $150,000.00-$260,000.00 5 months ago San Francisco, CA $100,000.00-$180,000.00 1 year ago San Francisco, CA $115,000.00-$185,000.00 3 weeks ago Redwood City, CA $167,200.00-$250,800.00 2 weeks ago Machine Learning Engineer (I, II, or Sr.) San Francisco, CA $180,000.00-$270,000.00 4 months ago San Francisco, CA $140,000.00-$290,000.00 8 months ago San Francisco, CA $190,000.00-$355,000.00 2 weeks ago San Francisco, CA $100,000.00-$300,000.00 3 weeks ago San Francisco, CA $150,000.00-$250,000.00 1 month ago San Francisco, CA $175,000.00-$225,000.00 9 months ago San Mateo, CA $140,000.00-$210,000.00 1 month ago We're unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
Sr. Product Manager - (AI Agents for Cybersecurity) One of our early-stage startups is looking to bring on one of their first Product Managers to help build an agentic AI solution for vulnerability management. This isn't just a role; it's a chance to dive in and provide critical tactical support in feature delivery, while getting deeply involved in customer engagements and product operations. If you're a Mid-Senior Product Manager eager to build an agent-based platform from the ground up, this is it. You'll work directly alongside an amazing Product Leader and Co-Founder - a true thought leader - gaining invaluable mentorship as you help shape the company's trajectory. This distinctive role offers direct customer engagement and a unique chance to push the boundaries of AI and cybersecurity with a world-class team. Ideally, you've got engineering in your DNA. Perhaps you spent a few years as an engineer, or maybe a CS degree with strong engineering internships. This is your chance to truly blend technical expertise with customer insight, delivering world-class product experiences from day one. This is an in-person role, based in either San Francisco or New York. About the role: Mid-Senior level Full-time Engineering and Product Management Software Development and Computer and Network Security We are an equal opportunities employer and welcome applications from all qualified candidates. We are committed to creating a diverse and inclusive workplace.
04/02/2026
Full time
Sr. Product Manager - (AI Agents for Cybersecurity) One of our early-stage startups is looking to bring on one of their first Product Managers to help build an agentic AI solution for vulnerability management. This isn't just a role; it's a chance to dive in and provide critical tactical support in feature delivery, while getting deeply involved in customer engagements and product operations. If you're a Mid-Senior Product Manager eager to build an agent-based platform from the ground up, this is it. You'll work directly alongside an amazing Product Leader and Co-Founder - a true thought leader - gaining invaluable mentorship as you help shape the company's trajectory. This distinctive role offers direct customer engagement and a unique chance to push the boundaries of AI and cybersecurity with a world-class team. Ideally, you've got engineering in your DNA. Perhaps you spent a few years as an engineer, or maybe a CS degree with strong engineering internships. This is your chance to truly blend technical expertise with customer insight, delivering world-class product experiences from day one. This is an in-person role, based in either San Francisco or New York. About the role: Mid-Senior level Full-time Engineering and Product Management Software Development and Computer and Network Security We are an equal opportunities employer and welcome applications from all qualified candidates. We are committed to creating a diverse and inclusive workplace.
One of our early-stage investments is looking to bring on a Senior AI Engineer to join the founding technical team. We're looking for someone who has built agentic applications in production at a company with a strong engineering bar. This isn't a "tinkering only" role. The ideal candidate is a strong backend software engineer who has moved into applied AI and enjoys building real products with LLMs. What you'll do Build and ship agentic applications and AI-powered workflows used directly by customers Design and productionize RAG pipelines and other modern LLM systems Own backend services that support AI features, including async processing, integrations, and data access within customer environments Collaborate closely with product and infrastructure engineers to turn ambiguous problems into reliable systems What we're looking for Typically, 5+ years of cumulative software engineering experience (or exceptionally strong with 3+ years) 1+ years building agentic applications in production (preferred) Alternatively, 1+ years building production RAG pipelines or other modern applied AI systems Strong backend engineering foundation: designing services, data models, and async processing systems Experience in environments with a high engineering bar for production AI systems Not a fit if your background is primarily Classic ML research or modeling work ML infrastructure / platform roles Pre-training focused experience Nice to have Enterprise integrations and working in customer environments Workflow orchestration / job processing frameworks Building internal tools, developer platforms, or UI-driven software What makes this compelling Early, high-impact role on a small founding team Opportunity to shape core AI architecture and product direction Strong peers, fast iteration, and real customer problems Competitive compensation and meaningful equity Team Size Work Culture 5 days/week in SF Office About Us Greylock is an early-stage investor in hundreds of remarkable companies including Airbnb, LinkedIn, Dropbox, Workday, Cloudera, Facebook, Instagram, Roblox, Coinbase, Palo Alto Networks, among others. More can be found about us here: How We Work We are full-time, salaried employees of Greylock and provide free candidate referrals/introductions to our active investments. We will contact anyone who looks like a potential match requesting to schedule a call with you immediately. Due to the selective nature of this service and the volume of applicants we typically receive from our job postings, a follow-up email will not be sent until a match is identified with one of our investments. Please note: We are not recruiting for any roles within Greylock at this time. This job posting is for direct employment with a startup in our portfolio.
04/02/2026
Full time
One of our early-stage investments is looking to bring on a Senior AI Engineer to join the founding technical team. We're looking for someone who has built agentic applications in production at a company with a strong engineering bar. This isn't a "tinkering only" role. The ideal candidate is a strong backend software engineer who has moved into applied AI and enjoys building real products with LLMs. What you'll do Build and ship agentic applications and AI-powered workflows used directly by customers Design and productionize RAG pipelines and other modern LLM systems Own backend services that support AI features, including async processing, integrations, and data access within customer environments Collaborate closely with product and infrastructure engineers to turn ambiguous problems into reliable systems What we're looking for Typically, 5+ years of cumulative software engineering experience (or exceptionally strong with 3+ years) 1+ years building agentic applications in production (preferred) Alternatively, 1+ years building production RAG pipelines or other modern applied AI systems Strong backend engineering foundation: designing services, data models, and async processing systems Experience in environments with a high engineering bar for production AI systems Not a fit if your background is primarily Classic ML research or modeling work ML infrastructure / platform roles Pre-training focused experience Nice to have Enterprise integrations and working in customer environments Workflow orchestration / job processing frameworks Building internal tools, developer platforms, or UI-driven software What makes this compelling Early, high-impact role on a small founding team Opportunity to shape core AI architecture and product direction Strong peers, fast iteration, and real customer problems Competitive compensation and meaningful equity Team Size Work Culture 5 days/week in SF Office About Us Greylock is an early-stage investor in hundreds of remarkable companies including Airbnb, LinkedIn, Dropbox, Workday, Cloudera, Facebook, Instagram, Roblox, Coinbase, Palo Alto Networks, among others. More can be found about us here: How We Work We are full-time, salaried employees of Greylock and provide free candidate referrals/introductions to our active investments. We will contact anyone who looks like a potential match requesting to schedule a call with you immediately. Due to the selective nature of this service and the volume of applicants we typically receive from our job postings, a follow-up email will not be sent until a match is identified with one of our investments. Please note: We are not recruiting for any roles within Greylock at this time. This job posting is for direct employment with a startup in our portfolio.
A leading investment firm is seeking a Senior AI Engineer to join a founding technical team. This role emphasizes building and shipping agentic applications, designing RAG pipelines, and owning backend services that support AI features. The ideal candidate has 5+ years of experience in software engineering, preferably with a background in creating production AI systems. This is an early, high-impact role with competitive compensation and equity, based in the San Francisco office.
04/02/2026
Full time
A leading investment firm is seeking a Senior AI Engineer to join a founding technical team. This role emphasizes building and shipping agentic applications, designing RAG pipelines, and owning backend services that support AI features. The ideal candidate has 5+ years of experience in software engineering, preferably with a background in creating production AI systems. This is an early, high-impact role with competitive compensation and equity, based in the San Francisco office.
Overview Greylock has a history of creating and investing in category-defining companies in the enterprise. We're privileged to invest in a startup focused on a vital developer tool for the evolving AI product landscape. Like other successful tools such as Datadog, a seamless, intuitive, high-performing user experience will be vital to this company's success. We are looking for a software engineer who excels at creating fast, reliable, and user-friendly web applications. Given the product's data-rich nature, experience with complex data visualization layouts would be a highly valuable asset. The ideal candidate will have at least 3 years of industry experience and expert-level proficiency in front-end technologies, particularly TypeScript, D3, React, HTML, and CSS. Experience in founding or working at startups is a major plus, as it demonstrates adaptability, a startup mindset, and experience with rapid iteration and growth. Familiarity with GPT models, including writing prompts or experimenting with AI-powered applications, is also a valued skill, showing a strong interest in emerging technologies and hands-on experience with AI-driven tools. Stage: Series A Team Size: 15 Location: San Francisco, 5 days a week Responsibilities Build fast, reliable, and user-friendly web applications. Support data-rich product with complex data visualization layouts. Collaborate with cross-functional teams to iterate and ship features. Qualifications At least 3 years of industry experience with front-end development Expert-level proficiency in TypeScript, D3, React, HTML, and CSS Experience in founding or working at startups is a plus Familiarity with GPT models and AI-powered applications
04/02/2026
Full time
Overview Greylock has a history of creating and investing in category-defining companies in the enterprise. We're privileged to invest in a startup focused on a vital developer tool for the evolving AI product landscape. Like other successful tools such as Datadog, a seamless, intuitive, high-performing user experience will be vital to this company's success. We are looking for a software engineer who excels at creating fast, reliable, and user-friendly web applications. Given the product's data-rich nature, experience with complex data visualization layouts would be a highly valuable asset. The ideal candidate will have at least 3 years of industry experience and expert-level proficiency in front-end technologies, particularly TypeScript, D3, React, HTML, and CSS. Experience in founding or working at startups is a major plus, as it demonstrates adaptability, a startup mindset, and experience with rapid iteration and growth. Familiarity with GPT models, including writing prompts or experimenting with AI-powered applications, is also a valued skill, showing a strong interest in emerging technologies and hands-on experience with AI-driven tools. Stage: Series A Team Size: 15 Location: San Francisco, 5 days a week Responsibilities Build fast, reliable, and user-friendly web applications. Support data-rich product with complex data visualization layouts. Collaborate with cross-functional teams to iterate and ship features. Qualifications At least 3 years of industry experience with front-end development Expert-level proficiency in TypeScript, D3, React, HTML, and CSS Experience in founding or working at startups is a plus Familiarity with GPT models and AI-powered applications