Lead Industry Manager in San Francisco

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. We are the Data Foundation & AI team within Plaid’s Data organization. Our mission is to build the shared ML and AI infrastructure that powers intelligent capabilities across Plaid’s product suite. We develop the foundational systems, models, and data assets that transform Plaid’s unique financial network data into scalable, general-purpose representations that teams across the company can leverage. Our work spans the full ML lifecycle — from large-scale data curation and model pretraining to production serving, evaluation, and monitoring. As part of the team, you’ll work at the intersection of machine learning infrastructure, applied AI, and distributed systems, helping establish the core AI platform that enables innovation across Plaid. As a Staff Machine Learning Engineer, you will lead the technical strategy and development of Plaid’s foundation models, driving key decisions across pretraining objectives, model architecture, and fine-tuning approaches that power a wide range of downstream product applications. You will serve as the technical lead for the full machine learning lifecycle, overseeing everything from data curation and experimentation to production deployment, feature management,

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 OpenAI’s mission is to ensure that general-purpose artificial intelligence benefits all of humanity. We believe our research will eventually lead to artificial general intelligence, a system that can solve human-level problems. The social team helps bring OpenAI’s work to people around the world, translating complex ideas into clear, accessible, and timely content and stories across platforms. The team supports OpenAI’s mission by helping people understand how to use AI in practical, meaningful ways, while clearly and authentically communicating our technology, values, and approach to safely building powerful AI. About the Role Do you want to be one of the people behind the @ChatGPT handle on Linkedin? We’re looking for a smart and accomplished Social Media Manager (IC) to drive and manage long-tail evergreen educational social content primarily around OpenAI products on Linkedin and YouTube from the @ChatGPT and @OpenAI accounts. This role sits at the intersection of AI, education, product storytelling, and social media. You'll help shape how people around the world understand and adopt one of the fastest-growing technologies in history. 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 Work closely with cross-functional teams to brief and create evergreen content related to OpenAI products like ChatGPT and Codex Craft and execute social strategy and content to encourage and sustain product adoption Partner with product, marketing, and creative teams to develop educational social content that helps people understand and adopt OpenAI products. Monitor and report on product usage trends and conversations across social Balance the requests of many teams while ensuring content goes out accurately and on time Synthesize and communicate complex topics in clear language tailored for different audiences You might thrive in this role if you 7+ years of professional experience in social

About the team OpenAI’s Forward Deployed Engineering team partners with customers to turn research breakthroughs into production systems. We operate at the intersection of customer delivery and core platform development. About the role Forward Deployed Engineers (FDEs) lead complex end-to-end deployments of frontier models in production alongside our most strategic customers. You will own discovery, technical scoping, system design, build, and production rollout, partnering directly with customer engineering and domain teams. You will measure success through production adoption, measurable workflow impact, and eval-driven feedback that changes product and model roadmaps. You’ll work closely with our Product, Research, Partnerships, GRC, Security, and GTM teams. This role is based in San Francisco. We use a hybrid work model of 3 days in the office per week. We offer relocation assistance. Travel up to 50% is required. In this role you will Own technical delivery across multiple deployments from first prototype to stable production Build full-stack systems that deliver customer value and sharpen how we learn Embed closely with customer teams, understand their needs, and guide adoption of what you build Scope work, sequence delivery, and remove blockers early Make trade-offs between scope, speed, and quality; adjust plans to protect delivery Contribute directly in the code when progress or clarity depends on it Codify working patterns into tools, playbooks, or building blocks that others can use Share field feedback that helps Research and Product understand where the models succeed and where they can improve Keep teams moving through clarity and follow-through You might thrive in this role if you Bring 5+ years of engineering or technical deployment experience that includes customer-facing work Have scoped and delivered complex systems in fast-moving or ambiguous environments Write and review production-grade code across frontend and backend using Python, JavaScript,

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 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

About the Team OpenAI’s mission is to ensure that general-purpose artificial intelligence benefits all of humanity. We believe that achieving our goal requires effective engagement with public policy stakeholders and the broader community impacted by AI. Accordingly, our Global Affairs team builds authentic, collaborative relationships with public officials and the broader AI policymaking community to inform and support our shared work in these domains. We ensure that insights from policymakers inform our work and – in collaboration with our colleagues and external stakeholders – seek to shape policy so that it aligns with and supports our mission. About the role OpenAI is looking for an Applied Risk Standards Specialist to lead standards work for applied risk in applications, including mental health, youth safety, age assurance, functional efficacy, reliability, and privacy-related risks. You will help turn internal research, safety policies, and evaluation methods into technically sound, measurable, and adaptable standards that build public trust and support responsible deployment. This role sits within our AI standards and global assurance function in Global Affairs. Working closely with Safety Systems, Research, Product, Model Policy, Legal, and third-party evaluators, you will author proposals, negotiate requirements, and represent OpenAI in priority standards bodies. You will take on the drafting and external engagement needed to advance this work, enabling technical experts to focus on the underlying methods and evidence. You will also bring emerging requirements back into internal planning before they become established expectations. Alongside this primary portfolio, you will support the AI Standards and Global Assurance Lead on frontier AI assurance, contributing to risk-management standards, evaluation and benchmarking requirements, and approaches to independent assessment. The role connects technical practice with external standards. It does not replace t

About the Team Employee Tech & Experience (ETX) helps people at OpenAI do their most ambitious work. Across Helpdesk, Executive Support, Systems Operations, Logistics and AV, we make technology simple, reliable and secure. Employee needs guide what we build, improve and choose to eliminate. About the Role Reporting to the Head of Global IT, you’ll lead ETX globally, building on the team’s capabilities and customer-zero work to continually advance the employee experience. You’ll shape ETX’s strategy, investment priorities and operating model in partnership with leadership across the company, turning new capabilities into measurable amplification. You’ll develop leaders and strengthen teams where people feel valued, own meaningful work and enjoy working together. This role is based at our San Francisco headquarters and requires an in-office presence. In this role, you will: Lead the next stage of ETX’s global growth across Helpdesk, SysOps, Logistics and AV, with a shared strategy and accountability for employee outcomes. Continually elevate the employee experience through research and design, directing investment to simplify entire user journeys, remove unnecessary effort and amplify what employees can accomplish. Accelerate ETX’s agent-led and customer-zero work as capabilities advance: continually challenge which workflows need to exist, extend what agents can own end to end and evolve the operating model to deliver measurable amplification. Develop leaders who earn trust, grow others and sustain an environment where people feel valued, take pride in their work and enjoy working together. Give people meaningful ownership and opportunities to stretch and grow, with clear priorities and sustainable workloads. Scale global services to support company growth, with clear commitments to reliability, security, responsiveness, and effective controls. Measure performance through employee effort, service quality, and time to resolution. Shape priorities and investment wi

About the Team OpenAI’s mission is to ensure that AGI benefits all of humanity. Our Internal Communications team helps employees stay informed, connected, and engaged so they can focus on building and deploying safe and impactful AI. We partner across the company to explain what’s being built, why it matters, and how it connects to our strategy and mission. About the Role We’re looking for an internal communications professional to help employees understand the work happening across OpenAI’s research and product organizations. You’ll translate technical developments, product milestones, and team priorities into clear, useful communications that connect people to the work and to one another. Reporting to the Internal Communications lead for Research and Product, you’ll be the second member of the team dedicated to this part of OpenAI. You’ll independently own specific communications programs and projects within the broader strategy, build trusted relationships with technical teams, and identify stories and information employees need to hear. You’ll also help build practical processes that allow a small team to support a broad and fast-moving organization. This role requires strong writing and editing skills, technical curiosity, and sound judgment. You should enjoy asking questions, making sense of complex information, and moving work forward independently, with guidance from your manager on broader strategy and sensitive issues. This role is based in San Francisco, CA. We use a hybrid work model of three days in the office per week and offer relocation assistance to new employees. In this role, you will: Own recurring communications programs that help employees understand research and product priorities, progress, and upcoming milestones. Lead communications for defined projects and initiatives, developing plans, gathering input, drafting content, coordinating reviews, and managing delivery. Translate complex technical and research concepts into accurate, accessible

We’re looking for a strategic operator to help advance OpenAI’s life sciences capabilities and translate them into meaningful scientific and commercial impact. Working closely with research teams and external partners, you’ll identify opportunities to improve AI models, products, and supporting infrastructure, and lead partnerships and strategic initiatives that bring these capabilities into real scientific workflows. This role combines partnership development, strategic judgment, and hands-on execution. You’ll help determine where OpenAI can make the greatest contribution, identify the expertise and resources needed, and bring together the right partners to move from an idea to demonstrated impact. In this role, you will: Shape capability priorities. Work with research and cross-functional teams to identify and prioritize new life sciences capabilities, balancing scientific value, technical feasibility, and commercial potential. Build and execute partnerships. Develop data, research, and commercial partnerships with biotechnology companies, pharmaceutical organizations, and other participants in the life sciences ecosystem. Translate capabilities into real-world applications. Partner with external organizations to apply OpenAI’s technology in scientific workflows, evaluate its usefulness, and use those learnings to inform further development. Structure effective collaborations. Work with legal, finance, research, and other teams to define partnership scope, align incentives, and navigate data access, intellectual property, commercial terms, and governance. Lead strategic initiatives. Identify and own projects that advance scientific capabilities and create long-term value for OpenAI, including licensing, joint development, and new applications of AI. Drive operational execution. Establish clear objectives, milestones, and ownership; coordinate resources; and resolve obstacles across internal teams and external partners. Expand access to expertise. Identify gaps in

About Sentry Software runs the world and the pace is faster than ever. Sentry helps developers fix errors and performance issues before users notice, so teams can spend less time firefighting and more time building. Trusted by 200,000+ organizations, Sentry is today’s application monitoring standard and our team is building its AI-native future. About the role Sentry's Infrastructure Engineering team is what makes operating Sentry simple, safe, and seamless for every other engineering team in the company. They build the internal control platforms, configuration systems, traffic routing, and automation that let product engineers operate services safely at scale without needing deep infrastructure expertise themselves. As the Engineering Manager for Infrastructure Engineering, you'll lead a team of engineers building the tools that power Sentry's growth: internal admin and change management tools, configuration automation, and the routing layer that underlies Sentry's architecture. You'll be responsible for technical vision, team health, system reliability, and partnership with engineering teams across the company who depend on your team's tools every day. You'll work closely with leaders across Infrastructure, Platform, and Production Engineering to shape how Sentry scales its operational model as the company grows. In this role you will Lead a team of engineers building the internal control platforms that every engineering team at Sentry relies on to operate services safely. Drive the evolution of Infrastructure Engineering's platform, including configuration management, traffic routing and environment controls Own the team's technical direction, contributing to key decisions on API architecture, internal tooling design, and automation frameworks. Nurture and grow engineers at different levels, providing support through coaching, mentorship, and career development. Foster an inclusive, high-performing team culture focused on ownership, learning, and delivery. Partne

About Sentry Software runs the world and the pace is faster than ever. Sentry helps developers fix errors and performance issues before users notice, so teams can spend less time firefighting and more time building. Trusted by 200,000+ organizations, Sentry is today’s application monitoring standard and our team is building its AI-native future. About the Role A strong and reliable platform is essential to scaling Sentry for the future. Our Platform organization is responsible for everything that powers Sentry—from cloud infrastructure and streaming systems to storage, deployment, and security. We own the core services and technical foundations that enable every product and engineering team at Sentry to move fast and build with confidence. We're looking for a passionate and pragmatic Senior Staff Software Engineer to help lead this evolution. In this role, you’ll report directly to the VP of Engineering and collaborate with teams across the company to shape the future of Sentry’s platform. What You’ll Do Architect the future of Sentry by translating business needs and product strategy into clear, scalable technical blueprints. Partner with product and engineering leaders to align technical roadmaps with company goals. Lead cross-cutting initiatives across the Platform org—owning them end-to-end and driving meaningful outcomes. Promote engineering excellence by mentoring platform engineers, sharing best practices, and setting high standards for system design, scalability, and operational quality. Review major architectural proposals and help ensure consistency, maintainability, and long-term technical health across the company. You’ll Love This Job If You... Enjoy designing and building platforms that help teams move faster and scale safely. Thrive on solving complex, multi-dimensional problems across product, infrastructure, and organizational layers. Want to make architectural decisions that shape Sentry’s long-term success. Bring new ideas, tools, and frameworks t

About the Team Safety Systems manages the complete lifecycle of safety efforts for OpenAI’s frontier models, ensuring our models are deployed responsibly and have a positive impact on society. Our work spans diverse research and engineering initiatives—from system-level safeguards and model training to evaluation and red-teaming—all aimed at mitigating misuse, misalignment, and maintaining our high bar for safety. We lead OpenAI's commitment to developing and deploying safe Artificial General Intelligence (AGI), fostering a culture of trust, responsibility, and transparency. Our goal is to continuously learn from deployments, distribute AI’s benefits widely, and ensure that powerful tools remain aligned with human values and safety considerations. Within Safety Systems, the Model Policy team works to ensure that frontier models behave safely and reliably in real-world environments by designing policies that define safe model behavior. Some of our publications include: Safety at every step OpenAI GPT6 System Card OpenAI Model Spec About the Role We’re hiring a Model Policy Manager to shape model behavior for U.S. government use, with a focus on national security applications. You’ll define nuanced policies and translate them into training and evaluation criteria, helping models navigate high-stakes scenarios while preserving their usefulness and capabilities. In this role, you will: Develop model policies that guide safe and useful behavior. Build evaluations, identify policy gaps and model failures, and use findings to improve policies and training. Work with research, engineering, and domain experts to support safe, reliable deployment. You might thrive in this role if you: Bring relevant experience in AI safety, policy, or risk assessment. Have strong judgment and can turn complex safety questions into clear, practical policies. Have the technical fluency to work hands-on with model data and evaluations. Are motivated by OpenAI’s mission and the responsible use of

About the Team Safety Systems manages the complete lifecycle of safety efforts for OpenAI’s frontier models, ensuring our models are deployed responsibly and have a positive impact on society. Our work spans diverse research and engineering initiatives—from system-level safeguards and model training to evaluation and red-teaming—all aimed at mitigating misuse, misalignment, and maintaining our high bar for safety. We lead OpenAI's commitment to developing and deploying safe Artificial General Intelligence (AGI), fostering a culture of trust, responsibility, and transparency. Our goal is to continuously learn from deployments, distribute AI’s benefits widely, and ensure that powerful tools remain aligned with human values and safety considerations. Within Safety Systems, the Model Policy team works to ensure that frontier models behave safely and reliably in real-world environments by designing policies that define safe model behavior. Our relevant publications include: Safety at every step OpenAI GPT6 System Card OpenAI Model Spec GPT-Live ChatGPT Images 2.5 About the Role We are hiring a Model Policy Manager to focus on the safety of multimodal models. In this role, you will shape how OpenAI identifies, evaluates, and addresses risks in multimodal AI models - such as GPT-Live and ChatGPT Images - as well as multimodal capabilities in frontier AI models. 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: Design and maintain model policies for audio, image, video, and omni-modal behavior. Translate theories of harm and threat models into behavioral safety policies, evaluation criteria, grading guidance, and safeguards. Identify and analyze safety regressions and failure patterns to identify gaps in existing policies and inform policy iteration. Develop policy artifacts that support model training, evaluation, and deployment, including behavior i

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 attorney to serve as the commercial legal lead for Marketing. Based in San Francisco, you will be a primary legal partner to OpenAI’s rapidly growing global Marketing organization, supporting high-impact campaigns, creative production, talent and creator relationships, sponsorships, events, and the agreements and rights that make that work possible. You will work closely with Marketing, Communications, Partnerships, Procurement, Finance, Product, and colleagues across Legal, including Product, Privacy, Regulatory, and IP/Brand, to deliver practical advice at the pace of the business. This is a unique opportunity to help shape OpenAI’s Marketing efforts, negotiate sophisticated transactions, and build scalable legal frameworks for responsible global growth. We operate on a hybrid work model of three days per week in the office and offer relocation support for new employees. In this role, you will: Serve as the commercial legal lead for Marketing, partnering closely with Brand, Creative, Product Marketing, Design, Film and Photo, Performance Marketing, Partner Marketing, Communications, and regional teams from concept through launch. Draft and negotiate a wide range of marketing and entertainment agreements, including agency, production, talent and creator, sponsorship, event, media, content-licensing, marketing-technology, and vendor agreements. Structure and clear the rights needed for campaigns and content, including talent and appearance releases, publicity and