Senior Ai Product Engineer in San Francisco

Who We Are Notion is the collaborative AI workspace where teams and agents think together . We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. About the Role: The Web Infrastructure team builds the foundations behind Notion’s web clients, including client architecture, performance, reliability, and shared design systems. As Engineering Manager, you’ll lead the team through the evolution from Notion Clients. You’ll set strategy, develop senior engineers and managers, and partner across Notion to make the product faster, more reliable, and easier to build. We work from our offices on Mondays, Tuesdays and Thursdays (our Anchor Days) because we do our best thinking and building together in person. We’re looking for someone who’s excited to work alongside the team during those days. What You'll Achieve: You'll build and manage a diverse and inclusive team of engineers and managers working on core parts of Notion's architecture. You'll create a healthy environment in your team that embodies Notion's values. You'll recruit, coach, and develop engineers. You'll ensure engineers are regularly receiving feedback and making progress on personal and professional goals. You'll facilitate planning—the prioritization, sequencing, and staffing of work—for your team. You'll be responsible

The Opportunity The world of design is changing rapidly, and the Pro Design team is leading that transformation. We are the Adobe organization behind Illustrator, InDesign, and emerging experiences that connect creativity, collaboration, and AI. Our teams are reimagining what professional design looks like for the next decade - building intelligent, connected tools that empower creators and teams to move faster without sacrificing craft. We are looking for a Senior Business Data Scientist who is creative, analytical, and unafraid to question the status quo and shape the decisions that move key business metrics at scale. Join us and build Adobe’s future products! What you'll Do Map the user funnel and build the metrics, cohorts, and dashboards that Product and Growth rely on to see how users move across free, trial, and paid tiers—and pinpoint where they drop off. Dig into the hard questions (what drives activation, which behaviors predict retention and expansion) and build propensity models for conversion, upgrade, churn, and expansion that feed real-time targeting and in-product nudges. Find and size growth bets and work with Product to ship them. Set north-star, driver, and guardrail metrics with your partners, and stand up multivariate experiments across onboarding, paywalls, in-product prompts, and pricing. What you need to succeed Minimum Requirements: Bachelor's degree in a quantitative field (Statistics, Mathematics, Computer Science, Economics, Engineering, or similar) or equivalent practical experience. 5+ years of experience in data science, product analytics, or a similar quantitative role. Proficiency in SQL and Python (or R) for data manipulation, analysis, and modeling. Hands-on experience designing and analyzing A/B tests and interpre

Datadog is seeking a strategic, visionary, and results-oriented Senior Director, Growth Marketing – Organic Growth (SEO/GEO/PLG) to lead our organic acquisition strategy across traditional search engines and emerging AI/LLM platforms. This leader will own the vision, strategy, and operating model responsible for driving measurable growth in organic traffic and inbound pipeline through content programs, off-page authority, and AI/LLM discoverability initiatives. In this role, you will lead a team of organic growth specialists, while partnering closely with Website Experience, Product Marketing, and Engineering teams. You will define Datadog's long-term organic growth strategy, establish investment priorities, and ensure the organization is positioned to win across an increasingly complex discovery ecosystem. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You'll Do: Own Datadog’s content-led SEO/GEO/PLG strategy, defining the topics, formats, and ecosystems that drive measurable growth in traffic and pipeline Lead, coach, and develop a high-performing team Identify and prioritize high-impact content opportunities across product areas and influence cross-functional teams to bring that content to life Map and optimize Datadog’s presence across the full ecosystem of LLM-ingested content (e.g., YouTube, Reddit, review sites) to improve AI-driven discoverability Design and execute a comprehensive off-page strategy, including link acquisition, digital PR, and authority-building initiatives Partner closely with the Website Experience team, who owns technical SEO, to ensure content is effectively surfaced, indexed, and performant Create and contribute to high-impact content (e.g., flagship pieces, new formats, or experimental channels), setting the standard for qualit

About the Team At OpenAI, our User Safety & Risk Operations (USRO) team helps protect our products and users from abuse, fraud, safety risks, and other forms of misuse. We translate real-world user and operational signals into timely decisions, practical interventions, and improvements to our products and systems. This role will take on new, ambiguous, or underdeveloped operational risks and help mature them into scalable capabilities. We work across USRO and partner closely with Product, Engineering, Data Science, Product Policy, Legal, Safety, Support, and external vendors or partnership stakeholders. About the Role We are seeking a Senior Operations Analyst to take on complex, ambiguous safety and risk problems and turn them into practical operational solutions that can scale. This is a senior individual-contributor role for a versatile operator who is comfortable moving between queues, investigation, analysis, workflow design, hands-on execution, and cross-functional leadership. Depending on team needs, the role may focus on emerging-risk incubation, cloud deployment partnerships, or other new operational areas. You will be expected to move quickly, work hands-on, and create structure without waiting for perfect requirements or a large support team. The work starts with the problem, not a prescribed process. You may investigate unstructured user signals, stand up a lightweight workflow, build an AI-assisted tool, improve an existing operation, or help a new launch become operationally ready. The goal is to produce durable systems that other people can run, not simply complete a series of individual tasks. The portfolio will change with company priorities and may span established harm areas, emerging-risk incubation, cloud deployments and partnerships, device safety, or new product launches. Some hires may focus primarily on cloud deployment operations, including launch readiness, partner coordination, safety workflows, and operational monitoring. You will ty

About the team OpenAI’s mission is to ensure the responsible and widespread adoption of artificial intelligence. In support of that mission, the Marketing team helps deeply understand customer audiences and market dynamics, influence the development of the right products, build sustainable and customer-aligned monetization models, and drive awareness, adoption, and usage across OpenAI’s products and platform. We take a data-driven approach to understand markets, develop monetization strategies, and uncover customer needs that shape product strategy and messaging. We partner closely with Sales, Partnerships, Product, Engineering, Research, Comms, and Design to deliver a cohesive end-to-end customer experience and lead go-to-market efforts for new product launches across channels. About the role We’re looking for a Product Marketing Manager, Advertising to help bring together advertiser insights, market understanding, and product knowledge to inform positioning, support product priorities, and execute go-to-market initiatives that drive adoption and measurable business impact. You’ll work closely with Product, Engineering, Sales, and Partnerships to understand advertiser needs, translate complex AI capabilities into clear customer value, and bring new products and features to market. This role is ideal for someone who combines strong analytical thinking with hands-on execution, can independently drive clearly scoped workstreams, and is eager to grow their strategic ownership in a fast-moving environment. In this role, you will: Contribute to the product and marketing strategy for a defined area of OpenAI’s advertising business in partnership with senior product marketers and cross-functional partners. Build an understanding of advertisers through customer research, market analysis, and competitive insights, identifying opportunities to improve positioning, adoption, and the customer experience. Develop and maintain positioning and messaging for assigned products or fe

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, Seattle, Washington D.C., Raleigh, London, and Amsterdam. About the Team At Embedded Insights, we find the best machine learning opportunities for external products and internal systems, and collaborate with cross-functional partners to bring them to life. We are a central team of Machine Learning Engineers and Data Scientists. We embed with partner teams to build and apply machine learning models that improve internal decision-making and power the Plaid product suite. About the Role You will be the first Data Scientist on the Embedded Insights team, part of Plaid’s Data organization. You will establish the analytics and metrics backbone for a team supporting a diverse set of internal and external products. You will help drive better decision-making, support machine learning model development, and contribute directly to the health of the Plaid network and the quality of Plaid’s products. Your day-to-day work will include: Analyzing entities across the Plaid network to understand behavior and identify opportunities, anomalies, and risks. Creating foundational metrics, dashboards, and monitoring systems that provide a clear view of network health and machine learning model performance. Evaluating the value and performance of machine learni

Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! About the Role Cohere is seeking an Indirect Tax Sr. Associate / Tax Manager to manage global indirect tax compliance, strategy, and reporting, focusing on VAT/GST and sales tax in Canada, the U.S., and other key markets. You’ll manage tax audits, optimize processes, collaborate cross-functionally, drive process and efficiency initiatives, and implement strategies to minimize liabilities while ensuring compliance. Key Responsibilities Manage end-to-end indirect tax compliance, including filings, registrations, and remittances for global VAT/GST, and US sales and use tax Streamline tax workflows, leverage tax automation tools and AI, and enhance data governance to improve efficiency Develop and implement indirect tax strategies aligned with Cohere’s business growth, product offerings (e.g., SaaS, AI services, Sovereign AI), and international expansion. Manage responses to tax audits and inquiries from authorities. Identify and mitigate tax risks, ensuring alignment with global tax regulations and internal policies Address digital services taxes and electronic services implications. Partner with Finance, Legal, and Product teams t

About the Team The Product Marketing team shapes how OpenAI brings its research, models, and products to market. We work across Research, Product, Engineering, Sales, Communications, and Marketing to translate technical advances into clear customer value, compelling market narratives, and go-to-market strategies that drive meaningful adoption. About the Role We’re looking for a senior product marketing leader to shape how OpenAI’s models and research are understood and adopted around the world. You’ll work directly with frontier research teams to understand emerging capabilities and translate them into compelling product strategies, market narratives, and customer experiences. Your scope will span frontier models, specialized models for cybersecurity and life sciences, multimodal capabilities, and the API portfolio that makes these systems accessible to developers and businesses. You’ll build and lead the team responsible for helping customers understand what our models can do, how they’re evolving, and how to deploy them responsibly. In this role, you will: Define the product marketing strategy for OpenAI’s models, research advances, and API portfolio. Embed with Research, Product, and Engineering to understand model capabilities, evaluations, limitations, and technical tradeoffs. Shape how OpenAI explains advances in AI to developers, business leaders, and the broader market. Lead positioning, launches, demonstrations, and adoption strategies across frontier, specialized, and multimodal models. Help customers navigate model selection, API access, privacy, security, and responsible deployment. Bring customer and market insights into research and product decisions. Partner with Sales, Solutions, Partnerships, and regional teams to develop customer narratives, use cases, and enablement. Work with Communications, Safety, Policy, and Legal to ensure technical claims are accurate and grounded. Build and lead a high-performing product marketing team and define success ac

About the Team OpenAI Finance ensures the organization is positioned for long-term success as we pursue our mission. The Revenue team plays a critical role in enabling OpenAI to scale commercial offerings by overseeing billing operations, deal desk, revenue systems, revenue accounting, and controllership. We work cross-functionally with Product, Engineering, Go-To-Market, Tax, Legal, and Technical Accounting to support new monetization strategies, improve operational efficiency, and maintain financial integrity as the business grows. About the Role This senior leader will own key elements of Ads revenue accounting from technical assessment through operational execution. The role will guide accounting for products, pricing, contracts, incentives, credits, refunds, makegoods, international expansion, and new go-to-market motions. It will establish governance and translate approved accounting positions into launch, billing, data, close, reconciliation, and control requirements. Success requires deep technical revenue expertise, strong business partnership, and the ability to build durable 0-to-1 processes in a fast-changing environment. Advertising is a critical and growing monetization vector for OpenAI, and this role will help shape the financial foundations that enable Ads to scale responsibly and transparently. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: Lead technical accounting assessments for Ads products and commercial arrangements, including performance obligations, variable consideration, allocation, principal-versus-agent, collectibility, contract modifications, refunds, incentives, credits, makegoods, and revenue presentation. Own and continuously evolve Ads revenue accounting policies and operating guidance as product behavior, pricing, contracting, incentive programs, and billing models change. Establish governance for new pro

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Vice President, Software Engineering Overview Decision Stream is Mastercard's next-generation AI-native decisioning platform, designed to power intelligent, real-time decisions across fraud, authentication, payments, and risk. Built with a startup mindset and enterprise-scale ambition, the platform combines innovation, speed, and engineering excellence to redefine decisioning across Mastercard's global ecosystem. We are seeking a visionary and hands-on VP of Software Engineering to help build and scale the platform. This leader will partner closely with Product, Architecture, AI, and Platform Engineering teams to drive technology strategy, architecture, engineering execution, and organizational growth. What You'll Do Lead Through Technical Excellence • Serve as a senior technology leader and role model for engineering teams. • Drive architecture, design, and technology decisions across distributed systems, streaming, AI, and cloud-native platforms. • Engage deeply with engineers, architects, and product leaders to solve complex technical challenges. • Influence engineering standards, software quality, and operational excellence. Build and Scale the Platform • Help shape and deliver a highly scalable, resilient, and secure decisioning platform operating at Mastercard scale. • Balan

About the Team OpenAI’s Forward Deployed Engineering team partners with leading semiconductor companies to deploy production-grade AI systems across the entire chip design lifecycle: design, verification, and physical design. We operate at the intersection of customer delivery and core platform development, embedding deeply with customers to translate frontier model capabilities into systems that materially improve engineering workflows and accelerate innovation. Our work turns early, high-touch deployments into repeatable solution patterns, reference architectures, and evaluation practices that scale across the semiconductor ecosystem. About the Role We are seeking a highly skilled Physical Design Engineer to join our semiconductor-focused Forward Deployed Engineering team. This is a senior IC role that will begin with a strong emphasis on physical design expertise, technical judgment, advisory leverage, and customer credibility, with the expectation that the person will grow into a broader Forward Deployed Engineering role over time. In the near term, you will serve as the team’s physical design SME across semiconductor deployments: helping FDEs, Product, and Research understand backend implementation workflows, pressure-test AI-assisted solution ideas against real physical design constraints, and raise the quality of our customer-facing technical work. You will help the broader team build fluency in implementation flows, EDA tooling, signoff methodology, and the trade-offs that shape physical design decisions in practice. Over time, we expect this role to expand beyond SME support into broader FDE ownership: partnering directly with customers, shaping deployment strategy, building and iterating production-grade AI systems, driving technical workstreams, and helping turn high-touch semiconductor deployments into repeatable solutions. This is a strong fit for someone who brings deep physical design expertise today and is excited to grow into a customer-facing, syst

About the Team OpenAI’s User Operations team ensures that our customers’ experience is nothing short of exceptional. We resolve complex issues, provide guidance, and support customers in maximizing value with our products. Within User Operations, Ads Safety Operations helps OpenAI grow advertising in a way that is safe, trusted, and sustainable for advertisers, users and the business. The Ads Safety Support team sits within Ads Safety Operations and owns the advertiser-facing support journey: helping advertisers navigate ads products, policies, reviews, and enforcement decisions while turning frontline insights into better guidance, tooling, and product experiences. About the Role We’re looking for a Senior Advertiser Support Specialist to help build and scale advertiser support within Ads Safety Operations. You’ll work directly with advertisers through support tickets, escalations, owning high-impact questions related to ads policies, review outcomes, product behavior, and operational processes. Many cases will be novel or ambiguous, and you’ll be expected to investigate carefully, communicate clearly, and drive them to resolution in a fast-moving product environment. As OpenAI’s advertising ecosystem grows, your work will help advertisers operate successfully at scale while serving as a critical bridge between frontline support and the teams responsible for product quality, policy integrity, and platform safety. Beyond resolving individual cases, you’ll help define what world-class support looks like in an AI-native environment. You’ll turn support interactions into operational intelligence, identifying recurring friction, gaps in guidance, and emerging issues to improve support at scale, and protect the quality and safety of OpenAI’s ad ecosystem. You’ll partner closely with Engineering, Product, Policy, Legal and Go To Market partners to improve systems, reduce bugs, and elevate the customer experience, while leveraging automation, agents, and our own AI technol

About the Team The Industry Marketing team helps OpenAI bring frontier AI to the industries where it can create meaningful, measurable impact. We work across Product, GTM, Communications, Partnerships, Policy, Security, and Research to translate model and product capabilities into industry narratives, field motions, customer proof, and launch programs that help enterprises adopt AI responsibly. About the Role As Product Marketing Manager, Cybersecurity, you will help define how OpenAI brings frontier AI to cyber defenders. This role sits at the center of Daybreak, OpenAI’s cybersecurity initiative to help defenders see risk earlier, act sooner, and build software that is resilient by design. You will shape the market narrative, build the field-facing operating system, and coordinate cross-functional execution across product launches, customer proof, partner moments, events, and account-based campaigns. You will help senior security leaders understand how OpenAI models, Trusted Access for Cyber, Codex Security, and related workflows can support real defensive work. We’re looking for a product marketer who combines strategic narrative, technical curiosity, enterprise go-to-market judgment, and program leadership. The right person can turn fast-moving capabilities into clear positioning, credible assets, and practical field execution. In this role, you will: Own positioning and messaging for OpenAI’s cybersecurity offering, including Daybreak, Trusted Access for Cyber, Codex Security, and related product surfaces. Build field-ready assets for account directors, solutions engineers, security leaders, and executive audiences, including first-call decks, one-pagers, use-case libraries, customer stories, and proof-point packages. Translate frontier model capabilities into simple, accurate, and defensible go-to-market language for senior enterprise buyers and security practitioners. Partner with Product, Research, Security, Policy, Communications, Partnerships, and GTM to c

About the Team The Privacy Engineering team builds the systems and technical foundations that govern how user data is understood, retained, accessed, and used across OpenAI. We partner with Product, Data, Infrastructure, Security, and Legal to translate policy and trust commitments into durable architecture and enforceable controls. Our work spans data inventory and mapping, classification and lineage, retention and deletion, access governance, purpose and usage controls, auditability, and lifecycle automation. We aim to make policy-aligned data handling the default while giving teams clear, reliable primitives for building and operating products at scale. About the Role We are looking for an experienced Software Engineer to drive the architecture and execution of user data governance across OpenAI. You will define technical direction, build shared platforms and controls, and lead cross-functional programs that make data flows discoverable, policies enforceable, and ownership explicit. This role is well suited to a senior engineer who can move between deep systems design and organization-wide influence, turn ambiguous requirements into pragmatic roadmaps, and operate high-trust systems end to end. This position is based in San Francisco. Relocation assistance is available. In this role, you will: Set the technical strategy and architecture for user data governance across data mapping, classification, lineage, retention, deletion, access, and permitted usage. Design and build shared services, APIs, metadata systems, and policy-enforcement mechanisms that make governance controls consistent, scalable, and auditable. Establish reliable inventories of user data, system ownership, data flows, and policy applicability across products, infrastructure, analytics, and research systems. Partner with Product, Data, Infrastructure, Security, and Legal leaders to define decision rights, translate requirements into controls, and drive adoption across teams. Own governance systems

ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F , led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products. THE ROLE The largest, most demanding enterprises are starting to run on Baseten, and they arrive with a range of security, compliance, and procurement requirements. As a Senior Engineer on Baseten's enterprise engineering team, you'll build the capabilities that enable large organizations like Writer, HubSpot, and Notion to succeed on Baseten. Enterprise engineering authors the core building blocks, APIs, and user experiences powering the Baseten platform: identity and access management, billing, regional isolation, and self-hosted and single-tenant deployment options. This is deep product and systems work across the full stack, from designing authentication and authorization systems using standards like OAuth and OIDC to shipping the admin experiences enterprise IT teams use to manage their organization. EXAMPLE INITIATIVES Recent and upcoming work on the team: Fine-grained authorization for users, service accounts, and agentic workloads SSO and SCIM support, allowing customers to centralize and automate access to Baseten Expanding the billing platform to support evolving pricing models, advanced data exports, and controls to manage spend In-product management and enforcement of customer compliance requirements like data residency and HIPAA Securing network paths in and out of a customer's models with private connectivity and ingress and egress restrictions Allowing customers to run Baseten inside their own VPC, on-pr