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Lead Data Analytics Engineer Jobs

10,000 active opportunities · Updated for October 2026

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Explore current lead data analytics engineer jobs. Use filters to narrow by work mode, employment type, experience and date posted.

P
3mo ago

We believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid’s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Washington D.C., London and Amsterdam. Security Engineering is the engineering function inside the Plaid security org that focuses on developing the industry-leading security systems and infrastructure. Security Engineering owns most of Plaid’s security-related infrastructure: secure data storage, key management systems, internal identity platform, internal authentication systems, internal permission management, and internal authorization service. We develop solutions across data encryption, key management, access control, and data loss prevention to protect sensitive consumer data. We believe in the Zero Trust security model and are always looking for ways to improve our authentication and access control platforms. About the role: You will develop security capabilities to secure Plaid infrastructure and sensitive data access. You will lead the team’s strategic planning in collaboration with the manager and other senior engineers. You will own, maintain, and build Plaid’s security infrastructure and services like IAM Gateway, Key Management System and Network Firewall. You will consult with product engineers to ensure Plaid services meet security standards. You will help educate and support other engineering teams to improve security in

awsairust
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Snowflake
📍 London• Full-time• Remote
3mo ago

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. ABOUT THE ROLE The Snowflake Cortex team is on a mission to bring the transformative power of generative AI and machine learning to enterprise customers, seamlessly and securely within the Snowflake Data Cloud. We are seeking an entrepreneurial and customer-obsessed Product Manager to lead the product vision and execution for our AI Solutions and Services. In this role, you will own the end-to-end product lifecycle for some of our most exciting AI services. You will be responsible for understanding customer needs, defining the product roadmap, and working with a world-class engineering team to deliver innovative solutions that make it easy for any user to leverage AI. You will sit at the critical intersection of customers, our forward-deployed engineering team, core engineering, and GTM strategy, driving the future of AI within the Data Cloud. If you are obsessed with building products that are both powerful and simple, and thrive on turning ambiguity into impact, this is the role for you. AS A STAFF APPLIED AI PRODUCT MANAGER AT SNOWFLAKE, YOU WILL: Own the Product Vision & Roadmap: Define and articulate a clear, compelling strategy for large-scale AI solutions. You will architect and own the end-to-end product lifecycle, from deep discovery and detailed requirements t

REMOTEmachine learningai
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OpenAI
📍 San Francisco• Full-time• Remote• $172K – $240K/yr
3mo ago

About the Team At OpenAI, we are dedicated to building safe artificial general intelligence (AGI) to benefit all of humanity. Our mission attracts the world’s top talent in science, engineering, and business to address one of the most ambitious challenges of our times. The Recruiting team is at the heart of this mission, tasked with identifying and hiring exceptional individuals who align with OpenAI's values and cultural ambitions. Our approach to recruitment aims to set the standard for excellence and innovation in the field, connecting outstanding candidates with opportunities to impact the future of AI. About the Role As a Senior Technical Sourcer at OpenAI, you will play a key role in identifying and engaging top-tier engineering talent across a broad range of technical domains. Your focus will be on sourcing exceptional software engineers and technical talent to help build world-class teams advancing our mission in AI research and deployment. In this role, you will: Lead sourcing strategies to identify and engage candidates across a variety of engineering disciplines, including software engineering, backend systems, product engineering, and related technical areas. Develop and maintain a strong pipeline of passive candidates through proactive outreach, research, and networking. Collaborate closely with hiring managers and technical leaders to deeply understand hiring needs and refine sourcing approaches accordingly. Leverage advanced sourcing techniques and tools to identify and attract exceptional talent. Represent OpenAI at industry events and conferences to promote our mission and connect with potential candidates. Maintain accurate and organized candidate data and metrics to inform sourcing strategies and decision-making. You might thrive in this role if you have: 5+ years of experience in technical sourcing, with a focus on engineering or technical roles. A proven track record of successfully sourcing candidates across a range of software engineering and

REMOTEartificial intelligenceairecruitment
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Snowflake
📍 Washington, United States• Full-time
3mo ago

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. We are hiring a Senior Technical Architect for our Services Delivery team. Our SD organization partners with customers across every stage of their data and AI journey, from initial implementation through long-term platform strategy. In this role, you will own the technical delivery and outcome for complex, high-priority engagements, serve as the most senior technical voice in the room, and shape how our customers use Snowflake to drive real business transformation. AS A SENIOR TECHNICAL ARCHITECT AT SNOWFLAKE, YOU WILL: Customer Leadership and Advisory Lead customer engagements as the primary technical authority, owning architecture decisions and driving measurable outcomes across complex, multi-workstream implementations Partner with customer executives and senior technical leadership to define platform strategy, develop long-term roadmaps, and align Snowflake capabilities to business objectives Translate ambiguous business problems into well-defined, scalable technical solutions, with clear delivery paths and risk-mitigation strategies Serve as the trusted escalation point for technical challenges within engagements, unblocking delivery teams and resolving architectural issues Technical Architecture and Delivery Architect and implement end-to-end AI/ML solutions on Snowfl

pythonsqlaws
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Snowflake
📍 Mclean• Full-time
3mo ago

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. Build the future of data. Join the Snowflake team. We’re looking for an experienced attorney to join Snowflake’s Legal team to help manage a variety of litigation matters. This role will report to Snowflake’s Senior Director, Associate General Counsel - Employment & Litigation. This is an in-person role based in Atlanta, GA, McLean, VA, or Menlo Park, CA. This is not a remote position. Responsibilities Working collaboratively with our Legal team, outside counsel, and other stakeholders, manage commercial-, IP-, trademark-, bankruptcy-, and employment-related disputes and litigation matters. Manage responses to subpoenas, garnishment orders, domestic relations orders, statutory requests for information, and requests from government and law enforcement agencies. Lead and manage internal investigations on matters involving legal risks to Snowflake. Assist and lead efforts in creating, improving, and developing scalable processes and procedures related to the handling of litigation matters for a growing company. Advise business stakeholders on litigation risks and issues involved in business disputes. Pragmatically weigh legal risks and benefits of complex situations and propose practical solutions with tact and maturity. Review and advise on litigation-related contractual

aigorust
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Snowflake
📍 New York, United States• Full-time
3mo ago

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. We are hiring a Senior Technical Architect for our Services Delivery team. Our SD organization partners with customers across every stage of their data and AI journey, from initial implementation through long-term platform strategy. In this role, you will own the technical delivery and outcome for complex, high-priority engagements, serve as the most senior technical voice in the room, and shape how our customers use Snowflake to drive real business transformation. AS A SENIOR TECHNICAL ARCHITECT AT SNOWFLAKE, YOU WILL: Customer Leadership and Advisory Lead customer engagements as the primary technical authority, owning architecture decisions and driving measurable outcomes across complex, multi-workstream implementations Partner with customer executives and senior technical leadership to define platform strategy, develop long-term roadmaps, and align Snowflake capabilities to business objectives Translate ambiguous business problems into well-defined, scalable technical solutions, with clear delivery paths and risk-mitigation strategies Serve as the trusted escalation point for technical challenges within engagements, unblocking delivery teams and resolving architectural issues Technical Architecture and Delivery Architect and implement end-to-end AI/ML solutions on Snowfl

pythonsqlaws
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About Us At Design Bridge and Partners, part of WPP, we design brands with the power to move—pulling people towards them with an irresistible force that compels and connects. With 900 creative minds across 18 studios worldwide, diverse in expertise, experience, backgrounds, and beliefs, we are united in our ambition to achieve real impact for our clients’ brands, benefiting their business, people, and the planet. Our clients include global brands across industries, such as technology, finance, consumer goods, and media. About WPP WPP is the trusted growth partner for the world’s leading brands. We unite cutting-edge media intelligence and data solutions, world-class creativity, next-generation production, transformative enterprise solutions and expert strategic counsel in a single company – powered by exceptional talent and our agentic marketing platform, WPP Open, to help our clients navigate change, capture opportunity and deliver transformational growth. For more information, visit WPP.com. Key Responsibilities Strategic & Project Direction Strategic Blueprinting: Lead the strategic development phase of projects, translating complex business problems into clear design briefs and concrete creative opportunities. Strategy-to-Creative Synergy: Bridge the gap between logic and magic. Work alongside creative teams in the studio to ensure that strategic recommendations are beautifully and consistently carried through from concept to final execution.Briefing & Inspiration: Design and deliver inspiring creative briefs that challenge conventional thinking and push design output into distinct, brave, and award-winning spaces. Resource & Delivery Management Resource Optimization: Strategically plan and manage internal and freelance strategy resources for your core client accounts, matching project requirements with the right talent. Milestone Ownership: Collaborate with Creative Directors and Client Lea

aifinance
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Perplexity
📍 San Francisco• Full-time• $220K – $405K/yr
3mo ago

Description In 2026, we launched Computer, the defining product for the new era of agentic AI. Millions of people now use Perplexity to transform knowledge into action, and the Integrations team builds the systems and products that let Perplexity connect to user data and workflows across multiple verticals, turning connected data into reliable, AI-powered experiences people use every day. As an engineer on the Integrations team at Perplexity, you’ll define the technical direction of products that connect Perplexity to workflows across multiple verticals and work full-stack to build these applied AI systems. You’ll move quickly, owning outcomes end-to-end, and building useful products people reach for every day. Tech Stack: TypeScript | Next.js | React | Python | PostgreSQL | Eppo | AWS Why Perplexity is different Craftsmanship. We build high-quality, tasteful products targeting both the AI-native and AI-curious. Ownership. You identify the problem, design the solution and ship it. Entrepreneurship. We think like founders, act with urgency, and hustle to deliver for each other and our users. Scholarship. Work among highly talented peers, pursuing knowledge and truth, upleveling ourselves, our teams, and our products. Partnership. We amplify each other’s strengths, break down silos, and give selflessly to help our colleagues deliver excellence. What you'll do Build agentic apps, features, and workflows that make Perplexity a daily driver for users. Lead vertical-specific products and AI-powered experiences like a Personal CFO and Email Assistant, turning connected data into reliable, high-impact tools people want to use every day. Own the data backbone of pipelines, infrastructure, and connectors that bring user and enterprise data to agents and products at a 99.9% reliability bar. Drive end-to-end projects across the full stack, running experiments in parallel and hill-climbing on adoption, retention, and revenue. Set technical direction, mentor engineers, and partne

typescriptpythonreact
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OpenAI
📍 San Francisco• Full-time
3mo ago

About the Team OpenAI's research training infrastructure powers how our frontier models are trained and evaluated. The Simulation team sits at the intersection between the agentic harness that powers OpenAI's products and the research infrastructure where GPT-next is trained, ensuring that our model's training environment is as realistic as possible. This team owns the integration layer that connects our production harness capabilities into the training stack. The work is highly cross-functional and high leverage: researchers depend on it to run experiments and evaluations reliably as well as to develop the next generation of harness capabilities. Failures in this surface can materially affect training velocity and correctness. About the Role We're looking for a Principal Software Engineer to lead the architecture and evolution of the Simulation Platform. You'll own a critical interface between research and engineering, building the systems, APIs, and operational patterns that let researchers use agentic coding infrastructure safely and effectively in training environments. This role is ideal for a senior backend or infrastructure engineer with strong technical judgment, product sense for highly technical users, and the ability to drive execution across multiple teams. The highest-leverage work is building robust infrastructure that supports and accelerates research without compromising engineering quality. In this role, you will Design, build, and evolve the integration between the Codex harness that powers OpenAI's products and research training infrastructure used for training GPT-next Build a platform for our LLMs to train and be evaluated in simulated environments that mimic their deployment setting as closely as possible, on every axis: agentic harness, compute substrate, timing, tools, data sources, humans in the loop, and more Own major integration surfaces end-to-end, from architecture and API design through rollout, operations, and long-term maintenance Bu

pythonawsrest
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About the Team DoorDash Labs is an independent team within DoorDash. We explore robotics and automation to transform last-mile logistics in the long term. If you have a passion for applying autonomous aviation technologies in a service used by millions of people, then we want to talk to you! About the Role In this role as a UAS Ground Support Operator, you’ll be part of a hands-on field testing team supporting flight validation of new drone platforms. You’ll work closely with flight test operators to keep aircraft ready to fly, minimize turn around time and operate the accompanying ground systems safely and efficiently. You will be reporting to the Flight Test Lead. Support daily test readiness by managing batteries, preparing equipment, and spearheading on-site logistics. Operate in field environments with extended periods of standing, repetitive drone handling, and outdoor exposure to varying weather (heat, dust, cold, wind, etc.). Stay flexible and responsive to shifting schedules, including early mornings, late afternoons, and variable hours based on test conditions. Open to about 20% travel. Collaborate with cross-functional teams to surface observations, flag anomalies, and support iterative improvement cycles during testing. Please note: This is an onsite role based in Bay Point, CA. Only candidates who are local or within commuting distance will be considered. A Part 107 is required for this position. No UAV experience is required, but the part 107 licence is required. You’re excited about this opportunity because you will… Support flight testing , data collection, and troubleshooting for new drone systems. Work closely with the operations teams to provide feedback and improve operational performance . Gain hands-on experience in emerging technology, working with a team in a fast-paced, iterative environment. Contribute to building the future of drone delivery through curiosity , adaptability , and a proactive mindset. We’re excited about y

Excellogisticsrecruitment
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OpenAI
📍 Dublin• Full-time• Remote
3mo ago

About the Team The Applied AI Engineering team is responsible for helping developers and enterprises safely and effectively deploy OpenAI technologies in production. We act as trusted technical advisors and thought partners for customers, working side by side with their teams to identify high-value use cases, design practical architectures, and move from prototype to durable deployment. Cybersecurity is one of the most urgent domains where AI can help. Security teams are under pressure to reason across code, logs, infrastructure, tickets, alerts, and vulnerability data faster than ever. As frontier models become more capable, organizations need deep technical guidance on how to evaluate, validate, and safely deploy AI systems in security-critical workflows. About the Role We are looking for a Cybersecurity Applied AI Engineer to partner with customers and help them apply OpenAI models, APIs, Codex, and agentic workflows to real cybersecurity use cases. You will work with CISOs, security executives, application security leaders, SOC teams, security engineering teams, and hands-on practitioners to identify where AI can create measurable security outcomes. This is a customer-facing technical role for someone who can move fluidly between executive strategy, practitioner-level cyber depth, and hands-on solution design. You will help customers evaluate and deploy workflows such as secure code review, vulnerability triage, threat modeling, remediation, SOC and incident response workflows, detection engineering, cloud security, GRC automation, and security validation. You will collaborate closely with Sales, Solutions Engineering, Product, Engineering, Research, and Security to turn customer needs into safe deployment patterns, reusable field assets, and product feedback. This role is based in our Dublin Office. We offer relocation support to new employees. In this role, you will: Deeply embed with strategic customers as the technical lead for AI-enabled cybersecurity workf

REMOTEjavascriptpythonjava
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Clickup
📍 United States• Full-time
3mo ago

At ClickUp, we're building the future of work: the first truly converged AI workspace unifying tasks, docs, chat, calendar, and enterprise search, all supercharged by context-driven AI. We are an AI-native company. Every team member is expected to leverage AI daily, and we evaluate AI fluency as part of our hiring process. Join us and help redefine what's possible. 🚀 ClickUp is the all-in-one productivity platform that brings tasks, docs, chat, AI, and workflows together so teams can move faster with less friction. We’re hiring a Manager, Technical Account Management to lead a team supporting mid-market to enterprise customers across AMER. This role exists because our customers need a leader who can raise team execution, create clarity across onboarding, adoption, expansion, and renewal motions, and help translate customer complexity into repeatable, scalable outcomes. The mission of this role is to lead a high-performing Technical Account Management team that helps customers realize fast value, deeper adoption, durable retention, and thoughtful expansion through a disciplined, data-driven, AI-augmented customer engagement motion. What you’ll own Lead, coach, and develop a team of Technical Account Management / post-sales customer leaders supporting mid-market to enterprise accounts across AMER. Build a high-accountability operating rhythm with clear goals, performance expectations, coaching cadences, and KPI visibility across the team. Ensure strong execution of the customer engagement process across onboarding, adoption, expansion, and renewal-risk moments so customers get consistent, high-quality support. Use customer health signals, adoption data, renewal timing, and account context to help the team prioritize well, intervene early, and focus effort where it will have the greatest impact. Lead or contribute to renewal strategy reviews, deal reviews, and executive business reviews that connect customer activity to business value, retention, and growth. Partner c

awsmachine learningai
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Stripe
📍 Remote• Full-time• Remote
3mo ago

Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career. About the team Fraud Strategy is responsible for building scaled fraud mitigation systems that prevent fraud and protect the financial ecosystem, while minimizing disruption to good users. The fraud team’s mission is to protect Stripe, our users, and the broader financial ecosystem from actors who abuse Stripe accounts for financial gain. What you’ll do As a Manager on the Fraud Strategy team, you will lead a team of high performing and tenured fraud strategists responsible for safeguarding Stripe’s rapidly expanding portfolio of money movement and money management capabilities from fraud. You will lead the team to create short, medium and long term strategies that prevent fraud while enabling growth on rapidly expanding Stripe products like Treasury, Issuing, Capital, Crypto and Stablecoins. Responsibilities Lead a Specialized Team: Coach and mentor a world-class team of fraud strategists. You'll be responsible for their professional growth and for fostering a culture of rigorous, data-driven fraud system development. Own the E2E Fraud Prevention Lifecycle: Oversee the team's execution across all critical decision points—from new user onboarding, through offboarding and funds recovery Strategic Stakeholder Partnership: Act as a key partner to Product, Engineering, Data Science, and Operations. You will navigate complex cross functional fraud prevention system development and tuning, ensuring our risk appetite aligns with both internal go

REMOTEpythonaigo
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O
3mo ago

About the Team The Applied AI Engineering team is responsible for helping developers and enterprises safely and effectively deploy OpenAI technologies in production. We act as trusted technical advisors and thought partners for customers, working side by side with their teams to identify high-value use cases, design practical architectures, and move from prototype to durable deployment. Cybersecurity is one of the most urgent domains where AI can help. Security teams are under pressure to reason across code, logs, infrastructure, tickets, alerts, and vulnerability data faster than ever. As frontier models become more capable, organizations need deep technical guidance on how to evaluate, validate, and safely deploy AI systems in security-critical workflows. About the Role We are looking for a Cybersecurity Applied AI Engineer to partner with customers and help them apply OpenAI models, APIs, Codex, and agentic workflows to real cybersecurity use cases. You will work with CISOs, security executives, application security leaders, SOC teams, security engineering teams, and hands-on practitioners to identify where AI can create measurable security outcomes. This is a customer-facing technical role for someone who can move fluidly between executive strategy, practitioner-level cyber depth, and hands-on solution design. You will help customers evaluate and deploy workflows such as secure code review, vulnerability triage, threat modeling, remediation, SOC and incident response workflows, detection engineering, cloud security, GRC automation, and security validation. You will collaborate closely with Sales, Solutions Engineering, Product, Engineering, Research, and Security to turn customer needs into safe deployment patterns, reusable field assets, and product feedback. This role is based in our Tokyo office. We offer relocation support to new employees. In this role, you will: Deeply embed with strategic customers as the technical lead for AI-enabled cybersecurity workfl

javascriptpythonartificial intelligence
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OpenAI
📍 Singapore• Full-time• Remote
3mo ago

About the Team The Applied AI Engineering team is responsible for helping developers and enterprises safely and effectively deploy OpenAI technologies in production. We act as trusted technical advisors and thought partners for customers, working side by side with their teams to identify high-value use cases, design practical architectures, and move from prototype to durable deployment. Cybersecurity is one of the most urgent domains where AI can help. Security teams are under pressure to reason across code, logs, infrastructure, tickets, alerts, and vulnerability data faster than ever. As frontier models become more capable, organizations need deep technical guidance on how to evaluate, validate, and safely deploy AI systems in security-critical workflows. About the Role We are looking for an Applied AI Engineer, Cyber to partner with customers and help them apply OpenAI models, APIs, Codex, and agentic workflows to real cybersecurity use cases. You will work with CISOs, security executives, application security leaders, SOC teams, security engineering teams, and hands-on practitioners to identify where AI can create measurable security outcomes. This is a customer-facing technical role for someone who can move fluidly between executive strategy, practitioner-level cyber depth, and hands-on solution design. You will help customers evaluate and deploy workflows such as secure code review, vulnerability triage, threat modeling, remediation, SOC and incident response workflows, detection engineering, cloud security, GRC automation, and security validation. You will collaborate closely with Sales, Solutions Engineering, Product, Engineering, Research, and Security to turn customer needs into safe deployment patterns, reusable field assets, and product feedback. This role is based in our Singapore office. We offer relocation support to new employees. In this role, you will: Deeply embed with strategic customers as the technical lead for AI-enabled cybersecurity workflow

REMOTEjavascriptpythonartificial intelligence
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