Public Policy And Us State Strategy Manager in San Francisco

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 As a Product Marketing Manager, Research & Safety , you will shape how the world understands OpenAI’s frontier research and our approach to developing AI responsibly. You will establish the strategic narrative for some of the company’s most important research themes—including frontier capabilities, safety, preparedness, reasoning, and compute—and translate complex technical work into clear, credible stories for researchers, policymakers, and the broader public, working with cross-functional teams to translate that messaging and reach developers and enterprise. Working closely with Research, Safety Systems, Policy, Communications, and Product teams, you’ll lead the go-to-market strategy and messaging for major research and safety initiatives. You’ll develop narratives that build trust, translating technical concepts into tangible artifacts and messaging, drive industry understanding of emerging evaluation frameworks, and help communicate OpenAI’s unique perspective on responsible frontier AI development. You’ll also identify creative and non-traditional ways to bring these stories to the audiences that matter most. In this role, you will: Establish the strategic narrative f

About the Team OpenAI’s mission is to ensure that general-purpose artificial intelligence benefits all of humanity. Our Communications team’s ethos is to support OpenAI’s mission and goals by clearly and authentically explaining our technology, values, and approach to safely building powerful AI. About the Role OpenAI is seeking an experienced communications professional to join our Platform & Research Communications team. This role will work closely with the Research Communications Lead and partner deeply with safety researchers, alignment researchers, and cross-functional teams to shape how OpenAI’s safety research is understood by researchers, journalists, policymakers, and the broader public. This position is responsible for developing and executing external communications strategies around OpenAI’s safety research—from alignment and evaluations to broader work that helps advance the safe development and deployment of increasingly capable AI systems. The ideal candidate brings strong science or technical fluency, excellent storytelling instincts, and experience helping researchers communicate complex work with clarity, accuracy, and nuance. You will partner closely with research leadership, individual researchers, policy, product, safety, legal, and cross-functional communications teams. This role requires both strategic judgment and hands-on execution in a fast-moving environment where research, public understanding, and high-stakes safety narratives intersect. This role is based in San Francisco, CA and follows a hybrid schedule (three days per week in office). Relocation assistance is available. In this role, you will: Shape Safety Research Narratives Develop clear, credible external narratives around OpenAI’s safety research, including alignment, evaluations, preparedness, interpretability, and other areas connected to the safe development of frontier AI. Translate complex technical work into accessible stories without oversimplifying, overstating impact

About the Team The Human Data team at OpenAI is responsible for identifying and mitigating risks in advanced AI systems by designing evaluations, surfacing vulnerabilities, and collaborating closely with researchers to strengthen model reliability and public trust. About the Role As a Research Program Manager, you will lead initiatives that test the safety and robustness of OpenAI’s models through creative experimentation and structured evaluation. You’ll coordinate efforts across research and engineering teams to transform ambiguous risks into concrete research programs and influence future model development and deployment. We’re looking for people who are technically savvy, comfortable with ambiguity, and excited about shaping the future of safe AI. 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 programs that explore unexpected model behaviors and identify failure modes. Translate vague or emergent risk signals into clear priorities and actionable research plans. Design and run creative evaluations, experiments, and red-teaming campaigns. Collaborate with research, product, and deployment teams to integrate findings into model training and deployment cycles. Develop repeatable systems for tracking model performance and understanding emerging behavior patterns. You might thrive in this role if you: Have strong experience in technical program management, with excellent organizational and communication skills. Are familiar with large language models, prompt engineering, or model evaluation techniques. Are comfortable managing fast-paced, high-uncertainty projects and shaping them from the ground up. Are creative and resourceful in devising new methods for testing model behavior and performance. Can effectively coordinate across technical and non-technical stakeholders to drive alignment and execution. About OpenAI OpenAI is an AI resear

About the Team Governance, Risk, and Compliance (GRC) is foundational to Security delivering mission outcomes at OpenAI. The GRC team provides security assurances and builds compliance for OpenAI’s technology, people, and products. We are technical in what we build but operational in how we do our work, and we partner deeply with Product, Security, Legal, Privacy, GTM, and Field Security to help OpenAI move quickly while maintaining trust with customers, auditors, regulators, and the public. About the Role We are looking for an experienced Product Lifecycle Assurance IC to help scale OpenAI’s GRC function across our product stack to ensure products address customer and regulatory compliance requirements at launch and regressions are detected promptly and corrected. You will partner closely with Product, Security, Legal, and Privacy teams to make sure OpenAI can move quickly while maintaining our security, privacy and compliance claims and giving customers, auditors, and regulators assurance about how OpenAI handles user data. You are responsible for product assurance end-to-end from inception to post-launch (continuous) monitoring. You leverage existing workflows, reviews, and data and enhance, augment and build the components needed to create an end-to-end product assurance program. This role is not about supporting SOC or ISO audits; it's a highly cross-functional and deeply technical operations role to ensure that OAI products meet the compliance bar at launch, regressions are prevented and detected, and our compliance state can be evidenced. This role also helps ensure that our product launch governance program operates effectively across key safety, privacy, legal and security stakeholders and lessons-learned from incidents and regressions are used to improve the program. You or in partnership with engineering teams, build key controls in our infrastructure stack, developer workflows and launch tooling to provide developers with guardrails, perform CI/CD confor

Our SLED sales team works with a best-of-breed product that solves real problems for our customers. Sellers follow a well-defined methodology that helps them identify the customer's unique needs and clearly convey the value of the Datadog product. Whether you're looking to learn from the best or be the best, the Datadog sales team is dedicated to furthering personal development and team success. We are searching for an experienced SLED Sales Executive that has a real passion for technology and can deliver on bold revenue targets. As we continue to enter into bigger markets, and formalize our support for the Public Sector enterprise segment, this division within Datadog will blaze the path for organizational growth. This is a lucrative opportunity to break into new State, Local, and Education accounts within a rich territory, as well work with accounts who are in a hybrid state and transitioning to the cloud. 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: Prospect into State, Local, and Education organizations while running an efficient sales process Maintain, build and own specific relationship maps for your territory including existing relationships and aspirational contacts Develop a deep comprehension of customer's business Negotiate favorable pricing and business terms with SLED enterprises by selling value and ROI Handle existing customer expectations while expanding reach and depth into assigned territory Demonstrate resourcefulness when faced with challenges that defy easy solution Have intuitive sense of necessary steps to close business and gain customer validation Identify robust set of value drivers behind all opportunities Ensure high forecasting accuracy and consistency Who You Are: Someone with 3+ years closing experience (mix

About the Team Safety Systems works to ensure OpenAI’s most capable models can be developed and deployed responsibly. Our work spans evaluations, safeguards, red teaming, deployment decisions, and the systems that help OpenAI understand and reduce risk as models become more capable and widely used. Within Safety Systems, the Trustworthy AI team is growing its safety transparency function: a practice focused on helping external audiences understand OpenAI’s technical safety work with greater clarity, rigor, and continuity. We create and improve the public artifacts that explain how our systems are evaluated for safety, what safeguards we build, what decisions we make, and where uncertainty remains. This work includes system cards, the Deployment Safety Hub, safety-related blogs, public governance documents, and other outputs that communicate technical safety topics to external audiences. It also includes building new ways to make technical safety information easier to understand, navigate, and use—including AI-assisted workflows, data visualizations, and interactive tools that make complex technical work more legible over time. About the Role We are looking for a Safety Transparency Editor to own the editorial quality of key safety transparency artifacts and systems. This is a hands-on role for someone who can write crystal-clear, pitch-perfect explanations of the hardest and highest-stakes technical safety topics that OpenAI tackles, and who can lean into AI to build systems that help the broader organization do this work better. Your core responsibility is to shape and execute how our technical safety work is externally communicated: identifying the narrative thread, exercising judgment about which details matter, determining where additional context, explanation, or supporting evidence is needed, translating complexity without sacrificing precision, and helping external audiences understand both the safety measures we’ve taken and the uncertainties that remain. 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 Us: AI needs a new infrastructure layer. We're building it at Modal. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Lovable , Ramp , Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We recently raised a $355M Series C at a $4.65B valuation, led by General Catalyst and Redpoint Ventures. We've crossed $300M+ ARR and grown fivefold since September. Our team includes creators of popular open-source projects (e.g., Seaborn , Luig i ), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. The Role: We are looking for strong engineers with experience and interest in designing, building, and maintaining the novel, high-performance systems that make up our serverless platform. Specifically, you'll be working on the distributed object storage system that underpins every container image, volume, and checkpoint on Modal: hundreds of petabytes of data, replicated across multiple cloud object stores and a CDN, cached on local NVMe across a large fleet of workers in many datacenters, and shared peer-to-peer within each datacenter. You'll make cold starts feel local when the data is hundreds of milliseconds away, designing the caching, preloading, and peer-to-peer layers that hide object-store latency and keep public ingress off saturated uplinks. You'll own durability and cost at petabyte scale, from streaming and batch replication between origins, to garbage collecti

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. Senior Software Engineer (Federal) Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. The Okta Identity Governance Team Okta Identity Governance (OIG) is Okta's Identity Governance and Administration solution, responsible for some of the most critical and visible workflows in enterprise identity: how people request access, how approvers grant it, how entitlements are enforced, and how organizations prove to auditors that only the right people have the right access. OIG is the leading contributor to Okta's new product bookings, and it runs inside some of the largest enterprises in the world — the kind of accounts where a single tenant carries hundreds of thousands of identities across thousands of applications. OIG currently supports high-compliance public sector workloads and plans to expand our footprint to support the most secure, highly classified environments in government. The Senior Software Engineer (Federal) Opportunity As a Senior Fullstack Engineer on the OIG (Federal) team, your mission

Overview: Guidepoint’s Client Service team connects leading investment firms, consultancies, and corporations with the subject-matter experts they need to make informed business and investment decisions. By understanding each client’s specific research needs and delivering targeted expert matches, often within hours, the team plays a critical role in providing a fast, high-quality client experience. As an Associate on the Client Service team, you will play a central role in delivering that experience. You will learn how to assess client needs, identify the types of experts best suited to address them, and recruit new experts into Guidepoint’s global network of more than 1,750,000 Advisors. The role offers exposure to a dynamic, results-oriented environment where strong judgment, responsiveness, and the ability to execute across multiple priorities are highly valued. Due to the collaborative nature of the Client Service team, the work schedule is hybrid with three days in the office required. Who We Are: High-performing team driven by execution, accountability, and consistent client impact Client-centric culture where responsiveness, resourcefulness, and attention to detail define how we operate Team committed to developing talent through hands-on mentorship, coaching, and leadership support Workplace that embeds continuous learning and career development as a core part of how we grow and excel Environment where strong performers take on increasing leadership, commercial responsibility, and client ownership Guidepoint is passionate about your career growth: Check out our Client Service Career Trajectory What You Will Own: Recruit new experts into Guidepoint’s network and engage them for client consultations Independently conduct targeted research across LinkedIn, press releases, company websites, case studies, and other public sources to identify relevant subject-matter experts Lead cold outreach, phone-based vetting, and screening conversations with experts to evalu

Overview: Guidepoint’s Client Service team connects leading investment firms, consultancies, and corporations with the subject-matter experts they need to make informed business and investment decisions. By understanding each client’s specific research needs and delivering targeted expert matches, often within hours, the team plays a critical role in providing a fast, high-quality client experience. As an Associate on the Client Service team, you will play a central role in delivering that experience. You will learn how to assess client needs, identify the types of experts best suited to address them, and recruit new experts into Guidepoint’s global network of more than 1,750,000 Advisors. The role offers exposure to a dynamic, results-oriented environment where strong judgment, responsiveness, and the ability to execute across multiple priorities are highly valued. Due to the collaborative nature of the Client Service team, the work schedule is hybrid with three days in the office required. Who We Are: High-performing team driven by execution, accountability, and consistent client impact Client-centric culture where responsiveness, resourcefulness, and attention to detail define how we operate Team committed to developing talent through hands-on mentorship, coaching, and leadership support Workplace that embeds continuous learning and career development as a core part of how we grow and excel Environment where strong performers take on increasing leadership, commercial responsibility, and client ownership Guidepoint is passionate about your career growth: Check out our Client Service Career Trajectory What You Will Own: Recruit new experts into Guidepoint’s network and engage them for client consultations Independently conduct targeted research across LinkedIn, press releases, company websites, case studies, and other public sources to identify relevant subject-matter experts Lead cold outreach, phone-based vetting, and screening conversations with experts t

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! Role Overview: Cohere is at an inflection point, scaling its enterprise AI platform and expanding globally. As our first dedicated Investor Relations hire, you will build the foundation for structured investor engagement, ensuring transparency, strategic storytelling, and alignment with financial stakeholders. This role is critical for Cohere’s market positioning, and long-term public-market readiness. You will build the Investor Relations function from the ground up & shape how the market perceives Cohere’s leadership in enterprise AI. Key Responsibilities: Investor Engagement & Strategy Develop and execute a comprehensive investor relations strategy, including investor presentations and roadshows. Develop, refine, and present investor materials and presentations that clearly articulate the company’s strategy and results. Lead the creation and refinement of financial and valuation models, benchmarking analyses, and peer/industry work to inform messaging and strategy. Stakeholder & Relationship Management Build and maintain relationships with existing and potential investors across institutional, strategic, and finan

About PostHog Product development used to mean manually writing code, running analysis, diagnosing bugs, and rolling out changes using dozens of tools. PostHog is the only platform that acts like a co-pilot for you (and your AI agents) to do it all – autonomously. We started with open-source product analytics, launched out of Y Combinator's W20 cohort . We've since shipped more than a dozen products , including: PostHog Code , the only AI devtool that understands your product, not just your codebase. A built-in data warehouse , so users can query product and customer data together using custom SQL insights. PostHog AI , an AI-powered analyst that answers product questions, helps users find useful session recordings, and writes custom SQL queries. We are: Product-led . More than 450,000 organizations have installed PostHog, mostly driven by word-of-mouth. We have intensely strong product-market fit. Default alive . Revenue is growing incredibly quickly, and we're very efficient. We raise money to push ambition and grow faster, not to keep the lights on. Well-funded. We've raised more than $180m from some of the world's top investors. We're set up for a long, ambitious journey. We're focused on building an awesome product for end users, hiring exceptional teammates, shipping fast, and being as weird as possible . Things we care about Transparency: Everyone can read about our roadmap, how we pay (or even let go of) people, our strategy, and how we work, in our public company handbook . Internally, we share revenue, notes and slides from board meetings, and fundraising plans, so everyone has the context they need to make good decisions. Autonomy: We don’t tell anyone what to do. Everyone chooses what to work on next based on what's going to have the biggest impact on our customers, and what they find interesting and motivating to work on. Engineers lead product teams and make product decisions . Teams are flexible and easy to change when needed. Shipping fast: Why not n

About PostHog Product development used to mean manually writing code, running analysis, diagnosing bugs, and rolling out changes using dozens of tools. PostHog is the only platform that acts like a co-pilot for you (and your AI agents) to do it all – autonomously. We started with open-source product analytics, launched out of Y Combinator's W20 cohort . We've since shipped more than a dozen products , including: PostHog Code , the only AI devtool that understands your product, not just your codebase. A built-in data warehouse , so users can query product and customer data together using custom SQL insights. PostHog AI , an AI-powered analyst that answers product questions, helps users find useful session recordings, and writes custom SQL queries. We are: Product-led . More than 450,000 organizations have installed PostHog, mostly driven by word-of-mouth. We have intensely strong product-market fit. Default alive . Revenue is growing incredibly quickly, and we're very efficient. We raise money to push ambition and grow faster, not to keep the lights on. Well-funded. We've raised more than $180m from some of the world's top investors. We're set up for a long, ambitious journey. We're focused on building an awesome product for end users, hiring exceptional teammates, shipping fast, and being as weird as possible . Things we care about Transparency: Everyone can read about our roadmap, how we pay (or even let go of) people, our strategy, and how we work, in our public company handbook . Internally, we share revenue, notes and slides from board meetings, and fundraising plans, so everyone has the context they need to make good decisions. Autonomy: We don’t tell anyone what to do. Everyone chooses what to work on next based on what's going to have the biggest impact on our customers, and what they find interesting and motivating to work on. Engineers lead product teams and make product decisions . Teams are flexible and easy to change when needed. Shipping fast: Why not n

At Datadog we’re growing our investment in AI and Developer focused events. As we scale this program we’re looking to hire a Program Manager on our Community team to support our content and advocacy team efforts across these events. The Datadog Technical Advocacy team are focused on our local user communities, and bringing our technical content directly to our customers globally. You’ll be responsible for planning and execution to deliver AI and Developer events, working across multiple teams at Datadog to ensure our event is high quality and a positive experience for our customers. At Datadog, we place value in our office culture - the relationships that it builds, the creativity it brings to the table, and the collaboration of being together. We operate as a hybrid workplace to ensure our employees can create a work-life harmony that best fits them. What You’ll Do: Growing Datadog’s presence at AI events and identifying opportunities for meetups, hands-on learning, and sponsored events, with a focus on AI or Developer events Planning technical programming for AI or developer events that Datadog hosts or sponsors Supporting AI and developer focused content at larger global events such as DASH, Datadog’s annual conference Tracking deadlines and deliverables for our content and events, including digital and physical assets, and working with vendors and procurement teams as needed to ensure event success Identifying and resolving risks and blockers for our event programing Maintaining our internal tools and public website for event agenda and speaker content Owning our onsite speaker experience for both internal and customer speakers Managing event programming onsite, coordinating rehearsals, staffing, and ensuring smooth onsite operations Collaborate closely with our Community teams, external stakeholders, and the VP of Community Create and refine processes; maintain focus on continual improvements, automat