Sales Manager in San Francisco

Job Description: Data Scientist, B2B Demand Generation, Growth & Measurement About the Role We are hiring a Data Scientist to lead measurement, experimentation, and decision science for B2B marketing demand generation. You will help us understand which marketing investments create incremental demand, qualified pipeline, and revenue and how to scale them efficiently. Our mandate is to build a rigorous, full-funnel view of how B2B marketing creates demand and moves prospects from awareness and engagement to qualified opportunities, closed-won revenue, and expansion. You will shape how we measure marketing impact and influence across channels, campaigns, audiences, and account segments. In this role, you will partner closely with B2B Marketing, Demand Generation, Growth, Sales, RevOps, Finance to connect marketing activity to qualified pipeline, customer acquisition, and efficient revenue growth. What You’ll Do Define north-star, leading, and guardrail metrics for B2B demand generation, including account engagement, qualified leads and opportunities, sourced and influenced pipeline, conversion rates, pipeline velocity, and incremental ARR. Design and execute measurement and experimentation strategies across channels and campaigns, using randomized tests, audience or geographic holdouts, lift studies, quasi-experimental methods, and other causal approaches suited to long B2B sales cycles. Analyze channel, audience, campaign, creative, content, landing-page, and account-segment performance to identify the drivers of qualified demand, funnel conversion, pipeline quality, and incremental revenue. Partner with Marketing, Sales, RevOps, Finance, Product, and Engineering to improve instrumentation, campaign taxonomy, CRM data quality, lead-to-account matching, and the operating cadence for acting on measurement insights. Build AI-native measurement and decision-support workflows, using LLMs and agents to synthesize campaign performance, surface growth opportunities, and h

About the Team OpenAI’s Legal team plays a crucial role in advancing our mission by tackling innovative and fundamental legal issues in AI. The team includes professionals from diverse legal fields – technology, AI, infrastructure, privacy, IP, corporate, employment, tax, regulatory, and litigation – who collaborate closely with colleagues across the company. If you are passionate about being a technology lawyer working on cutting-edge challenges, you’ll thrive here. About the Role We are seeking an experienced commercial attorney to join our commercial legal team. Based in the US, you will help lead commercial legal support for OpenAI’s rapidly growing business, working with teams such as GTM, Partnerships, Procurement, Finance, Product, Infrastructure, and Engineering. This is a great opportunity to join OpenAI’s commercial legal team, negotiating high-impact agreements and helping to build scalable frameworks for responsible growth. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week. In this role, you will: Serve as the legal partner for OpenAI’s business transactions, partnerships, and operations. Provide practical, business-oriented legal advice to teams including Sales, Partnerships, Finance, Procurement, and Operations. Identify and address commercial, product, regulatory, privacy, and other legal issues arising from commercial transactions. Develop strategies and processes for handling legal issues in creative and scalable ways that support growth. Monitor and advise on regulatory and compliance matters affecting AI and technology. Collaborate with colleagues across OpenAI’s global legal team to ensure alignment across jurisdictions. You might thrive in this role if you: Have 7+ years of experience across in-house and technology-focused law firm roles. Bring a strong background in drafting and negotiating complex commercial contracts. Are comfortable operating in an entrepreneurial environment, and are proact

About the Team Business Marketing at OpenAI helps companies understand, adopt, and realize value from intelligence at work. We believe our own marketing organization should demonstrate what changes when intelligence becomes part of the work: fewer manual handoffs, faster learning, better use of customer and product signals, and more capacity for ambitious thinking. Marketing Technology works across Marketing, go-to-market, Data, Engineering, IT, Security, and Product to define the systems, agents, data, workflows, and operating model that power modern marketing at OpenAI. The team has an opportunity to rethink marketing operations alongside the people building the models, products, and infrastructure shaping the future of AI. About the Role We are hiring a Head of Marketing Operations & Technology to build the most AI-enabled marketing operations organization in the world. You will own the systems, infrastructure, data, and workflows that help Marketing operate with greater intelligence, speed, and impact. You will set the function’s strategy, decide what to build or buy, and develop new capabilities where existing solutions fall short. This role sits at the intersection of marketing, technology, data, and AI. You will partner closely with Engineering, Product, Sales, Growth, and Revenue Operations while building a team of technical operators and builders who can turn ambitious ideas into dependable systems. We welcome varied backgrounds—from marketing operations leaders who have expanded the function’s traditional boundaries to founders and builders of AI-native products, growth infrastructure, or internal platforms. What matters most is a deep understanding of marketing, strong technical instincts, and the ambition to imagine a fundamentally better way of working. In this role, you will: Define the vision, strategy, and operating model for Marketing Operations & Technology, including how AI should reshape the function. Build and lead a team spanning market

About the team The Codex Deployment Engineering team helps customers adopt OpenAI's coding tools throughout their software development lifecycle. We act as trusted technical partners, guiding engineering teams as they integrate Codex into their projects and workflows. Our customers span digital-native companies to global enterprises, and we work side-by-side to accelerate how they plan, build, and deliver software. About the Role We are seeking a technically deep, creativity-driven AI Deployment Engineer who is already a power user of AI coding tools and passionate about pushing the boundaries of developer productivity. You will partner directly with engineering leaders and hands-on builders to design, validate, and scale advanced AI workflows, often using Codex to prototype and build the very demos, integrations, and automations customers ultimately adopt. This is a highly cross-functional role that blends technical architecture, product strategy, and customer-facing leadership. You’ll work closely with Sales, Solutions Engineering, Product, Applied Engineering, and the broader Codex organization to advocate for customer needs, shape product direction, and accelerate the successful deployment of intelligent coding systems across some of the world’s most influential companies. In this role, you will: Serve as the primary technical subject matter expert on OpenAI Codex for a portfolio of customers, embedding deeply with them to enable their engineering teams and build coding workflows. Partner directly with customers to design and implement AI-enhanced development workflows, from rapid prototyping through scalable production rollout. Build high-quality demos, reference implementations, and workflow automations, using Codex itself as part of your development process. Lead large-format workshops, technical deep dives, and hands-on enablement sessions that help engineering organizations adopt AI coding tools effectively and safely. Contribute technical content including

About the Team GTM Growth Engineering builds AI-native products and systems that help OpenAI's go-to-market and B2B marketing organizations operate with greater speed, focus, and leverage. Our mandate is revenue leverage: products tied directly to pipeline quality, customer engagement, seller and marketer productivity, and the speed at which OpenAI can bring its technology to customers. We build the infrastructure and user experiences behind high-impact GTM workflows, including customer context, prioritization, routing, campaign execution, review surfaces, feedback loops, and measurement. Our work combines product craft, applied AI, reliable systems, and thoughtful operational design. About the Role We’re looking for a product-minded Software Engineer to build AI-powered products and full-stack experiences for GTM Growth Engineering. You will own meaningful product slices end to end, from user experience and frontend implementation to backend APIs, integrations, data models, instrumentation, and launch readiness. This is a role for engineers who want to build products that do real work in production. You will partner with Product, Design, Data Science, Sales, B2B Marketing, and operations teams to understand high-value workflows and ship systems that improve customer engagement, pipeline, conversion, and team productivity. The role is ideal for a strong product engineer who can move between product craft, systems engineering, applied AI, and measurable business outcomes. You should be excited to build from ambiguous problem statements, ship quickly, and improve products based on real user feedback. What You'll Do Build AI-powered products and workflows that help sales and B2B marketing teams identify opportunities, coordinate work, and engage customers more effectively. Own full-stack product experiences from prototype through launch, instrumentation, iteration, and production hardening. Design intuitive user journeys that combine polished interfaces, reliable servi

About the Team The Demo Studio is responsible for translating OpenAI’s most advanced capabilities into tangible, high-impact experiences for customers. We design and deliver the demos, applications, and environments that define how executives understand what is possible with AI. Our work sits at the intersection of product, engineering, design, and go-to-market. We operate as a hybrid of product studio and live production team, building experiences that are both technically credible and narratively compelling. About the Role We’re looking for a Demo Studio Lead to own the end-to-end demo experience for OpenAI’s major events, webinars, and strategic programs. This is a highly cross-functional role focused on translating cutting-edge AI capabilities into clear, compelling, and production-ready experiences. You will own the full demo portfolio for an event or initiative, spanning mainstage moments, breakout experiences, booths, and supporting content. You’ll define the narrative, architect workflows, build high-fidelity demo environments, direct presenters, and ensure flawless execution in live environments. This is not a traditional sales engineering, presentation, or narrowly scoped design role — it requires a combination of product thinking, technical fluency, storytelling, systems design, and operational excellence. A key part of the role is presenting the work directly: delivering live demonstrations to executive, technical, and industry audiences across mainstage, breakout, customer, and recorded settings. This role is ideal for someone who thrives in ambiguity, operates with strong ownership, and is excited about shaping how the world experiences AI firsthand. This is a hybrid role that can be based in either San Francisco or New York. In this role, you will: Own the end-to-end demo experience across OpenAI-hosted summits, webinars, third-party industry events, and strategic executive demonstrations. Translate approved product positioning, real OpenAI capabiliti

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: Notion is looking for an Early Career Recruiter who wants to reimagine what early career hiring can look like. This is a role for a builder: someone energized by the question of how to find and cultivate exceptional emerging talent, who gets excited about crafting programs and experiences that don't yet exist, and who sees employer brand, candidate experience, and assessment design in an AI era as creative problems worth obsessing over. You'll own Notion's early career strategy end-to-end alongside a team of talented teammates — from how we reach communities to how we evaluate potential, develop talent, and convert interns and new grads into the next generation of Notinos. You'll work closely with our Engineering, Product, Design, Sales, and People teams. This role can be based in either San Francisco or New York City. 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: A differentiated early career engine — design and run

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 Imagine yourself in the 1970s or 80s thinking through how computing should look and feel for people who had never seen one before. That's what we're trying to do at Notion — make software that feels timeless, with the craftsmanship of German cameras, playfulness of Japanese toys, and mass appeal of Coca-Cola. We have no end of fascinating challenges that can only be solved by someone with innate product & UX sense, technical aptitude, great taste, and impeccable craft. This role can be based in either San Francisco or New York City. 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: Design product concepts that balance vision, craft, speed, and business potential. Craft every detail of new product features, from idea to UX to pixel-perfect execution. Run projects end to end with engineers to drive your vision to the ship line. Partner closely with our Customer Experience, Sales, and Customer Success teams to understand

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 Notion Recruiting team acts as trusted business partners who craft a thorough, inclusive, and curated interviewing experience. We believe hiring exceptional talent, at the right time, is the best path forward in order to achieve our company’s ambitious goals. We're looking for a GTM Recruiter to support our growth across key Go-to-Market (GTM) teams. In this role, you'll bring craft, clarity, and care to every search, balancing speed with sound judgment to help us grow intentionally. This role is based in San Francisco, CA. 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 Partner with leaders and advisors across our GTM teams - including the Sales Organization - as a trusted thought partner and advisor. Own the end-to-end recruiting process - from sourcing through close - creating a thoughtful, inclusive, and high-touch experience for each and every candidate. Conduct market research and talent mapping to inform and ev

Who Are We? Postman is the world’s leading API platform, used by more than 45 million+ developers and 500,000 organizations, including 98% of the Fortune 500. Postman is helping developers and professionals across the globe build the API-first world by simplifying each step of the API lifecycle and streamlining collaboration—enabling users to create better APIs, faster. The company is headquartered in San Francisco and has offices in Boston, New York, Austin, Tokyo, London, and Bangalore - where Postman was founded. Postman is privately held, with funding from Battery Ventures, BOND, Coatue, CRV, Insight Partners, and Nexus Venture Partners. Learn more at postman.com or connect with Postman on X via @getpostman. P.S: We highly recommend reading The "API-First World" graphic novel to understand the bigger picture and our vision at Postman. The Opportunity The Security GRC team is responsible for the overall security posture of Postman by ensuring compliance with applicable regulations and contractual obligations and maintaining effective and efficient governance, risk, and compliance programs. In addition, the Security GRC team is directly involved with supporting and enabling Sales and driving security and compliance initiatives to further the growth of Postman. We seek a Senior GRC Engineer who combines deep GRC expertise with strong engineering skills to build and scale automation across governance, risk, and compliance. This is a hands-on technical role focused on designing and operating GRC tooling, integrations, and AI-assisted workflows that reduce manual effort while improving security assurance. The ideal candidate has experience implementing and maturing compliance programs, including SOC 2, ISO 27001, HIPAA, GDPR, CCPA, and FedRAMP, and can translate security and risk requirements into practical engineering solutions. As a senior member of the Security GRC team, you will partner with Security, Engineering, IT, Legal, Sales, and other stakeholders to

About the Team The Support Automation team at OpenAI scales the organization by applying cutting-edge AI models to real-world challenges, automating and enhancing work across the organization. From customer operations to engineering, we develop an ecosystem of automation products that empower our colleagues and drive impact. We're passionate about crafting products that serve those around us, blending rapid prototyping with a focus on long-term quality and reliability. By creating reusable solutions, we create patterns that can be applied across diverse domains within OpenAI. TLDR: this team leverages OpenAI technology to improve OpenAI, and you’ll have the opportunity to leverage the full extent of our tech (both public and pre-released) to accomplish this mission. About the Role We’re looking for a Backend Software Engineer with experience working in ML/LLM-heavy domains to help to design and build an evals infrastructure that measures the quality of OpenAI’s support automation. This is a deeply technical and highly cross-functional role where you’ll build robust systems and backend services that serve as the foundation for how knowledge is created, accessed, and applied across OpenAI. The role will especially focus on working closely with Data Science and Research partners to design and build evals at scale. In this role, you will: Design eval pipelines that are reliable, reproducible, and extendable Build the infrastructure for continuous eval monitoring frameworks (regression/drift monitoring, building robust golden datasets) along with feedback loops that ultimately strengthen support automation Design, build, and maintain backend services and APIs to support intelligent automation and knowledge systems Integrate and structure data across internal platforms, transforming it into formats optimized for use by downstream systems and AI workflows. Collaborate closely with data, research, and engineering teams to integrate OpenAI models into high-leverage workflows

About the Team OpenAI’s People team is committed to hiring, engaging, and supporting world-class talent to help safely build and deploy universally beneficial Artificial General Intelligence (AGI). The People Operations team is responsible for the systems, data, and operational rigor that underpin every stage of the employee lifecycle. Our work sits at the intersection of employee experience, regulatory compliance, and business velocity — ensuring that as OpenAI scales rapidly and globally, our foundations remain accurate, auditable, and human-centered. This is a high-trust, high-impact function. We partner closely with Finance, Legal, IT, Security, and the broader People team to support growth in a dynamic environment with significant internal and external scrutiny. Operational excellence here is not about process for process’s sake — it is about building durable infrastructure that enables fairness, transparency, and responsible scale. About the Role As Director of People Operations, you will own the core operational infrastructure that enables OpenAI to scale responsibly. This role serves as the operational backbone of the People function, with accountability for data integrity, operational controls, and audit readiness across the systems that support a complex, global workforce, including the operational foundations of recruiting and hiring at scale. You will lead a team responsible for the end-to-end workforce lifecycle, from candidate and hiring operations through onboarding and offboarding, ensuring our people systems, processes, and data are accurate, resilient, and built to scale.In close partnership with Employment Legal and the People Compliance team, you will translate policy and regulatory requirements into scalable, well-controlled operational processes. This role operates with high visibility and close partnership with senior leaders across Finance, Legal, IT, and People, including ownership of SOX-relevant controls and workforce data relied upon by e

About the Team OpenAI’s Pricing team sits at the center of product, go-to-market, finance, and strategy. We define how OpenAI packages, prices, and scales access to our products across consumer, SMB, and enterprise customers, turning deeply technical product usage and market signal into company-level decisions. We’re looking for a senior Data Scientist to be the first dedicated data science hire on the Pricing team. This is a rare zero-to-one role with direct exposure to OpenAI’s CFO, Head of Pricing, and senior leaders across Product and GTM. You will help build the analytical foundation for pricing at OpenAI, shape executive decisions, and define what excellent pricing data science looks like. About the Role As a founding Data Scientist for Pricing, you will design the analyses, models, experiments, and decision frameworks that guide pricing strategy across OpenAI’s business. You’ll work side-by-side with the CFO, Head of Pricing, and senior leaders across Product and GTM on ambiguous, high-leverage questions where simple reporting is not enough, translating customer behavior, product usage, revenue outcomes, and market dynamics into clear recommendations. This role combines hands-on technical depth with executive-ready storytelling. You should be excited to build from first principles, operate with high independence, and influence decisions that shape how OpenAI grows and serves customers around the world. In This Role, You Will Serve as a senior analytical partner to the CFO, Head of Pricing, Product, and GTM leaders on pricing and monetization decisions. Build the analytical foundation for pricing across consumer, SMB, and enterprise segments, from exploratory analysis to repeatable decision systems. Design and execute analyses that connect customer behavior, product usage, conversion, retention, revenue outcomes, and pricing strategy. Develop models, algorithms, experiments, and decision frameworks for complex pricing, packaging, discounting, and willingness-t

About the Team The Infrastructure Engineering function sits within IT and is responsible for reliably building, deploying, and operating critical on prem and hybrid environments that power internal services and critical R&D environments. This is an early, high-leverage technical role focused on applying strong Site Reliability Engineering discipline to environments where uptime, safety, recoverability, and security are non-negotiable. This person helps replace bespoke, one-off infrastructure with standardized infrastructure-as-code building blocks that compound reliability and operational leverage as OpenAI scales. About the Role We are looking for an experienced Site Reliability Engineer working on security infrastructure to design, build, and operate reliable, secure, and scalable infrastructure that underpins identity, access, endpoint, and shared platform services across the company. In this role, you will be a senior technical owner for infrastructure and identity systems end to end, from architecture and implementation through policy enforcement, upgrades, recovery, and day-two operations. You will build durable, production-grade platforms that remove operational friction, enforce security by default, and enable teams to move faster with confidence. This role is well suited for a hands-on senior engineer who thrives in ambiguity, enjoys owning complex systems end to end, and raises the reliability and security bar by replacing fragile implementations with standardized, repeatable infrastructure. This role is based in our San Francisco HQ and requires in-office presence. In this role, you will: Design, build, and operate reliable infrastructure across on-prem, hybrid, shared, and product adjacent environments. Establish standardized infrastructure patterns that replace bespoke implementations with repeatable, auditable, secure-by-default systems. Own the lifecycle of critical infrastructure platforms, including provisioning, deployment, upgrades, patching,

About the team The Technical Success team is responsible for ensuring the safe and effective deployment of ChatGPT and OpenAI API applications for developers and enterprises. We act as a trusted advisor and thought partner for our customers, ensuring developers and enterprises maximize value from our models and products. The Ecosystem team builds and scales third-party integrations around ChatGPT and Codex. We work across product, engineering, partnerships, safety, legal, policy, and go-to-market to create integrations that are useful, trustworthy, and technically sound. About the role We’re looking for an Applied Deployment Engineer to help build and deepen ChatGPT integrations with third-party messaging platforms. The initial focus will be on partner work as well as future opportunities with other messaging apps around the world. This is a hands-on, partner-facing engineering role. You’ll work closely with external product and engineering teams to improve existing integrations, expand capabilities such as image generation, increase retention, and translate partner needs back into OpenAI’s product and engineering roadmap. You should be comfortable writing code daily, making changes across platform or monorepo surfaces when needed, and moving fluidly between technical discovery, product tradeoffs, prototyping, debugging, and executive-level communication. This role is best suited for a strong product-minded engineer with excellent communication skills, sound technical judgment, and the ability to work across cultures, time zones, and organizations. This role is based in our San Francisco office. 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: Partner with messenger app product and engineering teams to design ChatGPT-powered experiences that fit naturally into chat, group, contact, and app-tab surfaces. Deepen existing partner integrations, with an initial focus on improving user ex