Policy Development Jobs

Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation. About the Role We are looking for an AI Agent Security Architect to function as the primary technical authority for Replit’s autonomous and AI agent security blueprint. In this critical role, you will design, implement, and maintain the runtime defense systems, guardrail frameworks, and sandboxing architectures that govern AI agents executing code, invoking tools, and reasoning across our platform. You will be a key technical contributor—leading high-impact AI security initiatives and bridging the gap between non-deterministic AI behavior and rigorous cybersecurity controls for both engineering and executive leadership. What You'll Do AI Agent Security Strategy & Technical Execution AI Agent Security Blueprint: Define the long-term vision and architectural patterns for securing autonomous agent workflows, Model Context Protocol (MCP) integrations, multi-turn reasoning loops, and multi-agent coordination. Runtime Guardrails & Policy Enforcement: Architect and deploy dynamic input/output guardrail systems, semantic firewalls, and real-time intent verification filters to prevent goal hijacking, system prompt leaks, and indirect prompt injections. Agent Execution & Tool Sandboxing: Partner with Infrastructure and AppSec teams to design secure, short-lived, micro-isolated environments (e.g., microVMs, WebAssembly, container sandboxes) where agents can dynamically execute code, run shell commands, and interact with host operating systems safely. Agentic Threat Modeling & Red Teaming: Conduct specialized threat modeling against non-deterministic systems. Lead automated and manual AI red-teaming initiatives to uncover vulnerabilities in RAG context pipelines, vector stores, and tool-calling interfaces. Identity

About the Team OpenAI’s mission is to ensure the responsible and widespread adoption of artificial intelligence. In support of that mission, the Ads Solutions team partners closely with advertisers to deeply understand their businesses and needs, helping inform the development of products and solutions that drive meaningful revenue growth and long-term success on the platform—while maintaining strong standards for user trust and platform integrity. About the Role We’re looking for an Ads Solutions Engineer to partner with advertisers and agencies throughout the pre-sales and growth lifecycle, helping them successfully evaluate, launch, and scale on OpenAI’s advertising platform. You will serve as the technical expert in the sales process, translating advertiser objectives into scalable technical solutions across measurement, integrations, data activation, and campaign execution. This role sits at the intersection of sales, product, and engineering. You’ll work closely with Client Partners, Customer Success Managers, Product, Engineering, Policy, and Operations teams to remove technical blockers, accelerate revenue growth, and shape the future of OpenAI’s ads platform. In this role, you will: Partner with Client Partners during the sales cycle to provide technical expertise that unlocks new business and accelerates deal closure. Lead technical discovery with advertisers and agencies to understand data flows, martech stack, measurement requirements, and activation goals. Design and recommend implementation approaches for pixels, APIs, server-to-server integrations, identity solutions, offline conversions, and measurement frameworks. Guide advertisers through onboarding and launch readiness, ensuring successful setup of tracking, attribution, audience signals, and reporting. Troubleshoot technical issues related to implementation, signal quality, delivery, and measurement performance. Build compelling demos, proofs of concept, and technical narratives that demonstrate

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We are seeking an experienced Revenue Systems Engineering Director to join our Finance Systems team at Anthropic. You will own the technical architecture, implementation, and optimization of our Order-to-Cash (OTC) systems as we scale globally. You'll serve as the technical lead for our revenue systems within the ERP ecosystem, driving automation of revenue recognition processes and integrating our billing, sales, and financial systems. Responsibilities Revenue Platform Architecture & Development Own the revenue systems architecture and development supporting multi-entity operations and global subsidiaries Design and implement scalable data pipelines using DBT/SQL frameworks to transform high-volume financial transactions with low-latency response times for real-time integrations Build and maintain automated revenue recognition workflows ensuring ASC 606 compliance for complex subscription and consumption-based billing models Data Engineering & Pipeline Orchestration Modify, enhance, and optimize data transformation models using DBT/SQL to support standardized data flows across accounting, billing engineering, and product teams Establish comprehensive testing frameworks for data transformations, formally documenting successful behavior to support System Integration Testing (SIT) and audit requirements Systems Integration & Technical Leadership Collaborate with Revenue Accounting, Data Infrastructure, and BizTech teams to design enterprise-grade integration patterns supporting significant transaction volume growth Implement automated reconciliation engines achieving rapid variance detection and substantially

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As an Enforcement Lead, you will be responsible for managing and executing enforcement actions across our products and services, with a focus on detecting and mitigating attempts to misuse Anthropic's AI systems for malicious cyber operations. Your work will center on developing strategic enforcement frameworks for flagged activity related to cyberattacks, malware development, and offensive exploitation. Additionally, you will manage a team of Cyber Enforcement Analysts and contractors implementing this enforcement strategy. Safety is core to our mission, and you'll help uphold policy enforcement so that our users can safely interact with and build on top of our products in a harmless, helpful, and honest way. Important context for this role: In this position you may be exposed to and engage with explicit content spanning a range of topics, including those of a violent, technical, or psychologically disturbing nature. This role may require responding to escalations during weekends and holidays. Key responsibilities Manage a team of Cyber Enforcement Analysts and contractors, overseeing the vision of Cyber Enforcement strategy Create strategies to detect and mitigate potential misuse of AI systems to facilitate cyberattacks, malware creation, exploitation tooling, and related harmful cyber operations Collaborate with stakeholders regarding novel, ambiguous, or high-severity cases Collaborate with the Safeguards Policy Design Team on policy gaps surfaced through real enforcement scenarios Partner with Engineering and Data Science teams to ensure tooling and measurement support enforcement operations. Keep up t

Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies - from the world’s largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. About the team The Product Operations team supports Stripe’s mission (to ‘Increase the GDP of the Internet’) by enabling efficient, user-centered product development at scale. We create, manage, and implement central programs across Stripe that optimize Product development and delivery. The team drives critical, cross-functional initiatives and delivers strategic analyses, such as: Defining launch processes and policy Managing launch processes and execution within product orgs Planning and alignment across Product, Go-to-Market, and Systems / Operations teams Leading commercial execution for priority product launches Aggregating user feedback We are a team-oriented group that collaborates closely with each other and our cross-functional stakeholders. Together, we identify opportunities to design and scale repeatable processes, and we bring clarity and insight to address ambiguous and complex problems at the intersection of go-to-market and product. What you’ll do Responsibilities Lead end-to-end operational readiness and execution for priority product launches, establishing owners, milestones, decision forums, and launch plans. Continuously examine, experiment, and implement measured improvements to our operational model and processes (e.g. automating tasks, building agentic workflows, developing repeatable methodologies) Build with a mindset of scale and flexibility for all internal and external stakeholders Partner with Product teams to help them exe

About the Team OpenAI’s mission is to ensure the responsible and widespread adoption of artificial intelligence. In support of that mission, the Ads Solutions team partners closely with advertisers to deeply understand their businesses and needs, helping inform the development of products and solutions that drive meaningful revenue growth and long-term success on the platform—while maintaining strong standards for user trust and platform integrity. About the Role We’re looking for an Ads Solutions Engineer to partner with advertisers and agencies throughout the pre-sales and growth lifecycle, helping them successfully evaluate, launch, and scale on OpenAI’s advertising platform. You will serve as the technical expert in the sales process, translating advertiser objectives into scalable technical solutions across measurement, integrations, data activation, and campaign execution. This role sits at the intersection of sales, product, and engineering. You’ll work closely with Client Partners, Customer Success Managers, Product, Engineering, Policy, and Operations teams to remove technical blockers, accelerate revenue growth, and shape the future of OpenAI’s ads platform. In this role, you will: Partner with Client Partners during the sales cycle to provide technical expertise that unlocks new business and accelerates deal closure. Lead technical discovery with advertisers and agencies to understand data flows, martech stack, measurement requirements, and activation goals. Design and recommend implementation approaches for pixels, APIs, server-to-server integrations, identity solutions, offline conversions, and measurement frameworks. Guide advertisers through onboarding and launch readiness, ensuring successful setup of tracking, attribution, audience signals, and reporting. Troubleshoot technical issues related to implementation, signal quality, delivery, and measurement performance. Build compelling demos, proofs of concept, and technical narratives that demonstrate

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's Infrastructure team is seeking a Data Center Energy Lead, based anywhere in the EU, to secure power capacity and accelerate energy delivery for our rapidly expanding AI compute footprint across the region. This is a multi-country role: from a single EU base, you'll cover several EU jurisdictions. You'll work at the intersection of energy markets, physical power, project development and AI infrastructure needs, leading multi-hundred megawatt procurement efforts and building strategic relationships with TSOs, DSOs, and regulators across multiple European jurisdictions. This role is essential to ensuring Anthropic can scale compute capacity efficiently while navigating the complex dynamics of the EU internal electricity market, national wholesale and capacity markets, and Europe's evolving energy regulatory environment to achieve the speed and scale required for frontier AI development. Responsibilities: Develop creative and novel means of energy deployment - grid connected, behind-the-meter/fence, etc. that drives fastest timelines to energization, while maintaining social license Lead energy procurement and markets strategy to secure multi-hundred megawatt power capacity for AI infrastructure across EU wholesale electricity markets and national capacity mechanisms, structuring utility partnerships and commercial agreements that prioritise speed-to-energisation and scale Own utility and regulatory stakeholder management across multiple European jurisdictions, building strategic relationships with TSOs, DSOs, national regulators, and ACER to accelerate connection timelines and unlock constrained capacity Drive

We are looking for a Senior Director of Platform Engineering to lead the strategy, architecture, execution, and organizational development of our Platform Engineering function. This role is accountable for the foundational capabilities that enable engineering teams to build, deploy, operate, secure, and scale software efficiently and reliably. The Senior Director will own the evolution of our internal developer platform and shared engineering infrastructure, bringing together cloud, Kubernetes, CI/CD, observability, reliability, security, developer experience, and automation into a coherent platform strategy. The role requires a combination of deep technical judgment, organizational leadership, and platform product thinking, with the ability to operate effectively with senior engineers, engineering leaders, security, architecture, finance, and executive stakeholders. Key Responsibilities Define and own the multi-year Platform Engineering strategy, architecture, and roadmap , aligned with company and engineering objectives. Lead the evolution of the Internal Developer Platform , creating paved roads and self-service capabilities that reduce cognitive load and accelerate software delivery. Own strategic direction across cloud infrastructure, Kubernetes, networking, CI/CD, observability, reliability, Infrastructure as Code, platform security, developer tooling, and FinOps. Lead and develop a high-performing organization of Engineering Directors, Managers, Principal/Staff Engineers, and platform teams. Establish clear ownership, engineering standards, architectural principles, governance mechanisms, and measurable platform outcomes. Drive improvements in developer productivity, delivery performance, reliability, scalability, security, and infrastructure efficiency . Ensure platform services are designed for high availability, fault isolation, scalability, disaster recovery, and controlled blast radius. Own Security Engineering to embed secure-by-default, policy-as-code,

Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation. Role Summary Replit is the world's most widely used AI coding platform, and as we scale, we're rebuilding how compensation works internally from the ground up. This role owns that. You'll go beyond traditional comp management to architect the systems, data infrastructure, and AI-enabled workflows that make fast, consistent, and high-quality compensation decisions possible at scale. You will serve as the architect of our compensation engine: translating compensation philosophy into scalable systems, and utilizing AI to improve speed, accuracy, and transparency. You will partner closely with People Business Partners, Recruiting, Finance, People Operations, and the Data team to embed compensation directly into company workflows, eliminating manual processes and reducing reliance on comp as a service layer. You will shape how we attract, reward, and retain top talent, while building infrastructure that scales with the business. What you'll own Compensation Strategy Evolve our compensation philosophy across cash and equity; design and maintain salary bands, leveling frameworks, and equity structures Ensure market competitiveness while partnering with Finance on cost and workforce planning Operate compensation planning cycles and generate first-pass recommendations for comp decisions Build dashboards and analytical frameworks covering market competitiveness, internal equity, retention risk, and workforce cost What we're looking for 8+ years in compensation, total rewards, or related analytical roles, ideally at a high-growth tech company Deep expertise in salary bands, equity design, and market benchmarking (broad-based, sales, and executive) Strong systems thinker who can translate policy into scalable workflows and decisio

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is building its own servers, racks, and accelerator systems with contract manufacturers and ODM partners, and deploying them across our fleet of data centers. We are seeking experienced engineers to own how well that hardware gets built. As a Product Engineer on the Manufacturing Operations team, you are the technical owner of a product at the factory. During development, you gather manufacturing, test, and yield concerns, get them fixed in the design before each build, and sign off that the product is ready to move to the next stage. Once a product is in mass production, you keep it healthy by delivering engineering changes with minimal disruption, qualifying new components and second-source manufacturers, and root-causing yield and field failures. This is a hands-on role with up to 50% travel to partner factories in the US and abroad. You should be as comfortable debugging a test failure on the line as you are presenting a corrective action plan to leadership. Representative projects Take a new accelerator rack from early evaluation to mass production at an ODM: audit the assembly and test process, set yield targets, confirm test coverage, and approve the transition. Scale manufacturing from one line to multiple and then to a second site or second manufacturer without yield or throughput regressions. Run a cross-functional root cause on field failures traced to a manufacturing gap, drive corrective action with the ODM/CM, and close the loop with the design itself when required. Lead an engineering change across manufacturers: BOM and PLM updates, cut-in planning, partner training, validation, and monitor fie

About Snorkel Snorkel AI is the frontier AI data lab, helping teams build the data and environments behind high-performing frontier and agentic AI. We combine technology with research-driven AI data development to create datasets, benchmarks, evals, and custom solutions for real-world AI systems. Founded out of the Stanford AI Lab in 2019, Snorkel works with leading AI labs and enterprises to move from better data to better outcomes. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler! Job Description We are seeking a hands-on, builder-minded Senior Technical Compliance Analyst to serve as the operational engine behind our Trust & Security program. You will maintain our SOC 2 Type II posture, drive our second entity from Type I to Type II, and act as the bridge between compliance requirements and engineering & delivery execution. You will also lay the technical groundwork to evolve us toward **CMMC 2.0**, ensuring we are ready for federal contracts without slowing down our product velocity. **This is not a "compliance cop" role.** We practice **"Yes, if..."** security—you will influence architecture, automate policy enforcement, and unblock enterprise sales by ensuring the Security team has pristine, verifiable evidence at their fingertips. What You will Do Powering Customer Trust & Revenue Enablement The Engine Behind Revenue: Help drafting accurate, technically precise responses to RFPs, security questionnaires (CAIQ, SIG, custom risk assessments), and customer portals. Repository Stewardship: Own and continuously update the "Library of Truth"—a pristine repository of pre-vetted security evidence, technical configurations, and policy documents. By keeping this repository audit-ready, you enable the Security team to respond to enterprise prospects in hours, not days. Technical Depth on Demand: When a customer asks about AWS KMS encryption, logging pipelines, or IAM privilege escalation paths, you retrieve the granu

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We're looking for a BDR Enablement Lead to own the curriculum and craft development of Anthropic's business development organization. Our BDRs are the front door to the pipeline and, for many of them, this is the first serious sales role of their career. What they learn here shapes how they sell for the next decade. This role owns that formation: the onboarding curriculum, sales foundations, the ongoing skill development, and the pipeline generation playbooks that turn effort into meetings. It is also a role with an unusual opportunity. Anthropic's BDRs should be the most AI-native prospecting team in the industry. You will build the workflows that make that true — using plugins, account research skills, and agentic tooling to change what a BDR can accomplish in a day. Doing this well requires someone who is genuinely excited about the craft of prospecting and about rebuilding it around what AI now makes possible. Key responsibilities Own the BDR onboarding curriculum, taking new hires from day one to first meeting booked as quickly as we responsibly can Enable BDRs on AI-native prospecting workflows, including plugins, account research skills, and agentic tooling that meaningfully change BDR productivity Develop and maintain pipeline generation playbooks across segments, personas, and motions Run ongoing skill development on sales fundamentals: cold calling, written outreach, objection handling, discovery, and qualification Certify BDRs on our products, our qualification criteria, and our messaging Partner with BDR leadership to identify where skill gaps are constraining pipeline, and build focused interventions Build

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Go To Market ("GTM") Systems builds and runs the platform that Sales and contracting operate on, a production Salesforce org plus a growing portfolio of custom internal applications and agents. These systems process revenue-impacting transactions, guide critical business processes, and produce data the rest of the company runs on. Today the path from request, development, test, and pull request to production push is manual and slows the team down rather than speeding it up. We are hiring a DevOps / AgentOps engineer to build and run that path. You will stand up and maintain an AI-first CI/CD pipeline covering both Salesforce and custom application code. This release pipeline will support three modes: fully agentic, human-in-the-loop, and AI-assisted. Anthropic is an unusual place to do this. Our own frontier models are part of the toolkit and the question we want you to answer is what a delivery system looks like when you design it for agents and humans working side by side rather than retrofitting agents into a pipeline built for humans alone. You will work closely with a team of business systems analysts, software engineers, and integration engineers to develop the solution to accelerate their everyday work. The pipeline you build is the one path to production for a system under audit, so the guardrails, approvals, and audit trail are part of the product, not an afterthought. Key responsibilities Design, build, and operate the CI/CD pipeline for a production Salesforce org and a portfolio of custom internal applications, from branching and validation through deploy and rollback Define how a change is classified and ro

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We're looking for a Front End Engineer to support our Brand Web team, working at the intersection of design and development to build and maintain Anthropic's web properties. In this role, you'll contribute to shipping high-quality web experiences across anthropic.com and claude.com — from interactive marketing pages and data visualizations to internal tooling that keeps our content operations running smoothly. You'll work closely with designers, engineers, and brand and content teams to translate design intent into polished, production-ready code. Rapid prototyping is a core part of how we work here, and you'll be expected to move fast. Key responsibilities Own implementation of design system components and page templates across our web properties, with a focus on experiences that go beyond static content — interactive pages, data visualizations, and tools that communicate complex information clearly Work within our headless CMS architecture, helping maintain and improve content modeling, structured data workflows, and the publishing experience Collaborate closely with designers to bridge the gap between static design and living, interactive web experiences Contribute to internal tools that help teams author, manage, and publish content at scale Participate in migrations and site architecture projects, taking on defined scopes within larger efforts led by senior team members Move quickly from concept to working prototype, iterating in close collaboration with the team Support tooling and workflow improvements that help the broader team ship faster, and contribute to documentation and knowledge sharing Minimum qualificat

About the Team OpenAI’s mission is to ensure that artificial general intelligence benefits all of humanity. Safely delivering increasingly capable AI systems requires scalable technical safeguards, clear ownership of emerging risks, rigorous deployment readiness, and close coordination across research, engineering, product, operations, legal, policy, and external partners. Our Technical Program Managers lead complex, high-stakes initiatives that turn safety commitments into deployed systems and measurable outcomes. We work across model development, infrastructure, product, and operational response to help ensure our technology is deployed responsibly and cannot be used to cause serious real-world harm. About the Role We’re seeking Technical Program Managers to drive complex product, platform, and safety initiatives across ChatGPT, API, enterprise, and related deployment environments. These roles operate at the intersection of technical strategy and execution: you will turn safety and product priorities into actionable plans, influence architectural and operational decisions, and deliver durable capabilities across model, infrastructure, application, and platform layers. Depending on the role, you may enable sensitive or high-impact model deployments, integrate safeguards into cloud and API platforms, prevent violent misuse and other serious harms, improve detection and enforcement systems, create platform solutions for safety or establish new programs as risks evolve. You will partner deeply with engineers, researchers, product managers, and operational teams while communicating technical tradeoffs and program decisions to senior leadership. You bring technical fluency, product judgment, and a strong execution record. You’re comfortable navigating ambiguity, advocating for users and developers, balancing safety with model usefulness, and leading cross-functional work with urgency, rigor, and empathy. Specific focus areas and scope will vary by opening and level. Thi