About the Team

The Discovery team is organized around the north star of building an AI scientist — a system capable of solving the long-horizon reasoning challenges and core capabilities needed to push the scientific frontier. The team trains large-scale models, runs complex multi-week experiments, and builds novel products at the intersection of AI and science.

About the Role

As a Technical Program Manager on the Discovery team, you will own the systems and programs that determine how fast our research moves: compute planning, scientific RL environment health, and the vendor pipelines that supply them, with scope to incubate new programs in domains like bio R&D. Strong candidates should have an ML engineering or research background and have grown into program leadership. You'll need real technical depth: the ability to debug data pipelines, read RL transcripts to spot issues, and make allocation and quality decisions in real time when experimental or production runs hit problems. You'll need organizational effectiveness in equal measure: the ability to navigate a fast-growing organization, quickly identify the critical people and teams across research, infrastructure, product, and data operations, and coordinate across them without losing velocity.

Join us in our mission to build AI systems that push the frontiers of science and benefit humanity.

Responsibilities

• Manage Discovery's compute planning across supervised learning (SL), reinforcement learning (RL), and sandboxing workloads, including forecasting, allocation, prioritization, and efficiency improvements. Partner with central compute planning to ensure Discovery's needs are represented and met.
• Monitor the health of scientific RL environments (quality, reward integrity, failure rates) and drive issues to resolution.
• Expedite the external vendor pipeline for RL environments, including quality review, reward design, and production integration.
• Work with research teams across life sciences, STEM, and other scientific domains to translate research goals into roadmaps that advance AI scientist capabilities.
• Establish processes and frameworks that bring structure to an unstructured research setting without slowing researchers down.
• Collaborate with research leads, infrastructure engineers, and data operations to identify blockers, prioritize competing needs, and make technical trade-off decisions.

You May Be a Good Fit If You:

• Have a background in ML engineering, ML research, or STEM R&D before transitioning to technical program management
• Have deep, hands-on experience with ML training pipelines, RLHF systems, and large-scale data infrastructure in production.
• Have a track record of building execution plans and inventing high-leverage processes that reduce operational overhead and let researchers focus on research.
• Are a fast learner who builds deep contextual understanding in unfamiliar technical domains and can contribute meaningfully to discussions with researchers.
• Are resourceful, high-agency, and able to navigate ambiguity and shifting priorities to drive progress in a fast-moving research setting
• Have excellent stakeholder management and communication skills, with the ability to influence senior technical staff through clarity, competence, and consistent delivery.
• Are excited about the potential for AI to accelerate scientific discovery

About the Role 

As a Technical Program Manager for Product, you'll drive the programs that bring Anthropic’s AI capabilities to the world. You’ll work closely with research teams to understand new model capabilities, then orchestrate across engineering, product, infrastructure, and go-to-market teams to ensure we launch reliably and at pace. This role is essential in orchestrating the cross-functional effort required to launch successfully as Anthropic continues to scale.

This role offers unique challenges in coordinating high-stakes technical programs while maintaining the quality and reliability our customers expect. This position requires deep technical fluency, the ability to earn trust with researchers and engineers, and a talent for driving alignment across teams with different priorities and working styles. 

Responsibilities

• Lead end-to-end program management for model and product launches, coordinating between research, engineering, product, infrastructure, and partnership teams
• Drive cross-functional alignment and decision-making across workstreams, ensuring teams are unblocked and launches stay on track
• Partner closely with Research PMs and engineering leads to sequence work, manage dependencies, and navigate technical tradeoffs
• Track and communicate program status, risks, and dependencies to leadership and stakeholders
• Build strong relationships with technical stakeholders, earning trust through deep engagement with the details
• Coordinate with research teams to understand upcoming model capabilities and prepare launch plans accordingly
• Navigate tradeoffs between speed, quality, and scope, helping teams make informed decisions under pressure
• Develop and improve launch processes, playbooks, and operational frameworks that scale with our growing complexity
• Create and maintain documentation of launch processes, decision logs, and cross-functional dependencies

You may be a good fit if you

• Have several years of experience in technical program management, with a track record of successfully delivering complex, cross-functional programs
• Possess deep technical knowledge that allows you to engage meaningfully with ML researchers and engineers
• Have experience managing programs with significant external dependencies and multiple stakeholder groups
• Excel at translating between technical teams and stakeholders, making complex tradeoffs understandable
• Can thrive in ambiguous situations, bringing structure to complex technical challenges
• Have strong organizational skills and can manage multiple parallel workstreams effectively
• Are comfortable operating at a fast pace where priorities shift and new challenges emerge quickly
• Have excellent written and verbal communication skills, with the ability to influence without authority
• Build trust quickly and maintain strong relationships even under pressure
• Are passionate about Anthropic's mission and interested in the challenges of bringing frontier AI capabilities to users safely

About the Role

We are looking for an Incident Response Manager to serve as the operational backbone of how Anthropic handles incidents. When things go wrong, you are the person who makes sure the right people are in the room, the right information is flowing, and nothing falls through the cracks. 

The right person for this role brings structure and rigor to high-volume, high-stakes situations without waiting for a playbook to be handed to them. You will work across engineering, product, security, legal, go-to-market, and leadership to ensure Anthropic responds to incidents with speed, clarity, and accountability. This is not a role where you follow existing runbooks; it is a role where you write them, and where you operate effectively even when the runbook does not yet exist.

Responsibilities

• Build the incident response management function, establishing the processes, tooling, and operational standards that define how we handle incidents at scale
• Serve as an on-call incident commander, driving coordinated response across technical and non-technical stakeholders during incidents of varying severity, including managing multiple active incidents simultaneously
• Engage the right people at the right time, with a strong sense of urgency, bringing order and direction to fast-moving, ambiguous situations
• Own incident communications end-to-end, from real-time internal coordination to external channels like status pages, direct customer outreach, and stakeholder updates, ensuring they reflect Anthropic's commitments to safety, transparency, and accuracy
• Participate in blameless incident reviews, contributing operational context and helping drive follow-through on critical remediations so the same class of incident does not recur
• Partner with engineering teams to develop and maintain incident response policies, procedures, and escalation frameworks that scale with Anthropic's growth
• Partner with engineering, product, security, legal, and go-to-market teams to continuously improve how the organization detects, responds to, and learns from incidents

You May Be a Good Fit If You

• Have 5+ years of experience in incident management, with direct experience managing technical product or infrastructure incidents (not exclusively security or trust and safety)
• Have built or significantly shaped an incident response program, ideally at a high-growth startup or in an environment where you had to create structure rather than inherit it
• Demonstrate a strong sense of ownership and urgency, with the ability to operate independently and make sound decisions under pressure without waiting for direction
• Are comfortable working in unprecedented situations where processes are still being defined and guidance may be incomplete or conflicting, leaving things better than you found them
• Have a track record of effective cross-functional collaboration, particularly with engineering, security, legal, communications, go-to-market, and executive leadership
• Bring a blameless, learning-oriented mindset to incident reviews, focused on systemic improvement rather than individual fault
• Have experience with cloud infrastructure incidents and enough technical depth across the stack to engage meaningfully with engineering teams during response, including comfort navigating distributed systems, monitoring tools, and logs
• Are analytically minded, with experience using data (incident metrics, queries, trend analysis) to inform decisions during response and to drive operational improvements over time
• Communicate clearly and calmly under pressure, both in real-time coordination and in post-incident written communications
• Thrive in high-volume, fast-paced environments and are energized by bringing operational discipline to complex, evolving situations

About the Role

Anthropic's research organization works across the full model development lifecycle, from pre-training and post-training to alignment, interpretability, and safety, each operating at the frontier of AI development. As a Technical Program Manager for Research, you'll define and build the programs that research teams need most. You'll move across research areas like compute, evals, RL environments, and emerging research initiatives, going deep enough in each to understand how researchers work and what they need. You'll identify where the biggest opportunities for impact lie, find the highest-leverage gaps, and build the programs, processes, and tooling that allow researchers to focus on research. This is a 0-to-1 role: you'll explore new domains as priorities shift, determine what each one needs, and create lasting impact where none existed before.

Note: This role may require responding to incidents on short-notice, including on weekends.

Responsibilities

• Embed deeply within a research domain to understand the technical landscape, build trust with researchers and technical leaders, and identify the highest-leverage problems to solve, knowing the surface area will shift over time as research priorities evolve
• Move fluidly across research areas like compute, evals, RL environments, and emerging research initiatives, picking up new domains quickly and getting to depth fast
• Drive end-to-end execution of complex, ambiguous research initiatives spanning multiple teams, often without established playbooks or precedent
• Establish processes and frameworks that bring structure to unstructured research environments without slowing researchers down
• Lead efforts like large-scale compute resource planning, including allocation, efficiency, and prioritization across research and production workstreams
• Drive eval readiness for model launches by standardizing results, shaping eval plans early, improving tooling, and ensuring honest, transparent reporting across research, product, and marketing
• Own execution and operational health of RL environments across major training runs, coordinating cross-team trade-offs and feeding insights back into roadmap planning
• Equip research leadership to make decisions quickly by going deep on technical tradeoffs and presenting clear, actionable recommendations
• Act as the connective tissue between research, engineering, and product teams to reduce chaos and accelerate execution

You May Be a Good Fit If You

• Have a background in ML research or engineering with several years of experience building technical programs from scratch, ideally with hands-on exposure to training, evaluation, or large-scale distributed systems
• Are a fast learner who can ramp on unfamiliar technical domains quickly and contribute meaningfully to discussions with researchers
• Are resourceful, high-agency, and able to navigate ambiguity and shifting priorities to drive progress in fast-moving research environments
• Have a track record of operational ownership of complex technical systems, including monitoring, incident response, and performance optimization
• Can reason about technical tradeoffs at depth across model architecture, training infrastructure, evals, or compute efficiency, and translate them into clear decisions for leadership
• Have excellent stakeholder management skill and the ability to influence senior technical staff through competence and consistent delivery
• Are comfortable with high-stakes environments where decisions impact compute spend, model training timelines, and launch outcomes
• Are passionate about the potential impact of AI and are committed to developing safe and beneficial systems
• Are excited to redefine what technical program management looks like at the frontier of AI research

About the Role

We are seeking an experienced Technical Program Manager to support our critical cloud deployments. In this role you will be an execution owner, driving coordination and collaboration across multiple engineering teams. You will also support the collaboration and technical execution between our internal engineering teams and our major cloud partners including Amazon Bedrock, Google Vertex, and Microsoft Foundry.

Your primary focus will be on ensuring tight coordination on engineering deliverables both within our internal teams and between our partner teams, enabling repeatable and efficient product development and launch pipelines for our AI models on third-party platforms. You will be responsible for aligning a range of business and technical stakeholders to drive execution of technical roadmaps, with a particular emphasis on optimizing our presence and performance.

This position offers the opportunity to make a significant impact on Anthropic's growth and success in the cloud AI market, while working at the forefront of AI development and innovation.

Responsibilities

• Partner with engineering leaders to define, scope, and sequence major technical initiatives for cloud partnerships and AI model deployment, and own the plans, timelines, and resourcing to land them.
• Own launch readiness for Claude models on partner cloud platforms: checklist, blocker tracking, joint go/no-go with the partner, and post-launch stability follow-through.
• Act as the primary technical interface to cloud partner engineering orgs — owning the relationship, the shared roadmap, and day-to-day coordination on deployment, capacity, and incidents.
• Drive cross-functional alignment across internal engineering, product, and go-to-market teams to land joint deliverables with the partner.
• Provide clear and transparent reporting on program status, issues, and risks to executives and stakeholders.

You may be a good fit if you

• Have several years of experience in technical program management, with a track record of successfully delivering complex technical programs, preferably involving cloud platforms and AI technologies.
• Have strong understanding of cloud computing architectures, AI/ML deployment, and integration challenges.
• Have exceptional interpersonal and communication skills, enabling you to influence without authority and build cross-organizational support.
• Have a high threshold for navigating ambiguity and ability to balance strategic priorities with rapid, high-quality execution.
• Thrive in fast-paced, scaling environments with the ability to bring order to chaos.
• Are passionate about Anthropic's mission and committed to ensuring AI is developed safely.

Strong candidates may also have

• Direct experience with a hyperscaler's managed AI platform — Amazon Bedrock, Google Vertex AI, or Azure AI Foundry — including how partners list, launch, and onboard customers on it.
• Background in ML inference, model serving infrastructure, or accelerator-based compute.
• Have owned joint engineering roadmap or dependency tracking, driving incident follow-through, and converting open issues into a prioritized plan both sides commit to
• Experience with release engineering, deployment automation, or CI/CD for systems that ship to multiple targets or environments.

About the Role

Your primary mission is network operations: deploying and maintaining network infrastructure, overseeing smarthands vendors, and owning the physical infrastructure lifecycle from install through decommission. You’ll also flex into other site work as the network infrastructure team needs you.

This isn’t a maintenance gig; you’ll be building the processes, playbooks, and operational discipline that the team scales on. You’ll work across sites, travel regularly, and have a direct impact on the infrastructure that powers Claude.

Responsibilities

• Own network infrastructure deployment, maintenance, and bringup across sites

• Oversee outside plant and long-haul fiber optic repair vendors: manage dispatches, validate work quality, and ensure SLA compliance

• Execute network device installation, configuration validation, and commissioning support

• Own RMA processes end-to-end: triage, swap, ship, track, close

• Manage spares inventory and coordinate logistics across sites

• Conduct physical asset auditing and cradle-to-grave lifecycle tracking

• Coordinate with vendors for outsourced work and hold them accountable

• Build repeatable processes and playbooks that scale with the team

• Support various site deployments like: rack-and-stack, commissioning, forklift, decommissioning as needed

• Travel up to 40 - 60% to sites across the U.S.

You may be a good fit if you

• Have 5+ years (3+ considered for the right candidate) of hands-on experience in field engineering, network operations, or telecom infrastructure

• Understand fiber optic systems well enough to oversee vendor work: you can validate splicing, testing, and repair quality without necessarily doing it yourself

• Are familiar with network hardware deployment (switches, routers, optics)

• Have managed RMA workflows and spares logistics across multiple sites

• Hold relevant certifications or are willing to obtain them (OSHA 10/30, BICSI, fiber certifications, confined space)

• Can work independently in the field with minimal supervision: you know how to figure it out, and are not afraid to reach out and ask questions when needed

• Have experience building processes from scratch, not just following them

• Thrive in ambiguity and move fast without waiting for perfect information

• Have a bias toward action: you’d rather do than talk about doing

• Communicate clearly and directly, especially when flagging risks or blockers

About the Team

The Alignment Special Ops team identifies and executes some of the most neglected, high-leverage projects across Anthropic’s Alignment org and beyond. We’re a small team with a broad mandate and our work takes us across the entire company (and often, the broader safety research ecosystem). You will accelerate technical research, incubate new research efforts, and drive high-priority initiatives that don’t have a natural home elsewhere (e.g., the Anthropic Fellows Program).

About the Role

You’ll own 3–4 special projects at a time. These are generally ambiguous, cross-functional problems that need someone to define the goal and approach, build the plan, coordinate the team, and drive to a result.

This role is in-person in San Francisco, CA.

Responsibilities

The team’s project list changes often, and some work is confidential. Below is representative of the kinds of things you’d do:

• Scope, plan, and drive model evaluation projects end-to-end: understand the goal with researchers, coordinate contributors across teams & externally, staff efforts, and produce deliverables on a tight deadline

• Manage external research collaborators—onboarding, expectation-setting, contracts, and handling edge cases as they arise

• Synthesize complex information into decision-relevant inputs for leadership so they can move quickly

• Identify new projects the company should take on, make the case in writing, get buy-in, and execute

• Run the Alignment team offsite and similar events, including managing logistics, agendas, and delegation

You May Be a Good Fit If You

• Have 5+ years in chief-of-staff, program management, operations, or similar roles in a research, technical, or fast-moving environment (e.g., consulting, startups)

• Can take a loosely-scoped problem, define a goal, break it into concrete steps, and execute without waiting for direction

• Have built and managed teams, programs, or functions from scratch

• Write clearly and concisely—you default to a one-page doc over a five-page one

• Are comfortable making decisions with incomplete information

• Can hold the details of multiple workstreams simultaneously while context-switching between them

• Are deeply motivated by Anthropic’s mission of ensuring the world safely manages the transition through transformative AI

Strong Candidates May Also Have

• Experience working directly with researchers, especially in AI safety or machine learning

• Familiarity with the AI safety research landscape, key organizations, and ongoing debates

About the Role

As a Technical Program Manager on the Compute team, you will help drive the planning, coordination, and execution of programs that keep Anthropic's compute infrastructure running efficiently at scale. Our compute fleet is the foundation on which every model training run, evaluation, and inference workload depends.

You'll join a small, high-impact TPM team and take ownership of critical workstreams across the compute lifecycle, from how supply is procured and brought online, to how capacity is allocated and utilized across teams. The exact focus will depend on your strengths and the team's evolving needs.

You'll partner with Infrastructure, Systems, Research, Finance, and Capacity Engineering to shape the processes, tooling, and coordination mechanisms that allow Anthropic to move fast while managing an increasingly complex compute environment.

Responsibilities:

• Own and drive critical programs across the compute lifecycle, coordinating execution across multiple engineering, research, and operations teams
• Build and maintain operational visibility into the compute fleet, ensuring the organization has a clear picture of supply, demand, utilization, and health
• Lead cross-functional coordination for compute transitions: bringing new capacity online, migrating workloads, and managing decommissions across cloud providers and hardware platforms
• Partner with engineering and research leadership to navigate competing priorities and drive alignment on how compute resources are planned, allocated, and used
• Identify and close operational gaps across the compute pipeline, whether through new tooling, improved processes, or better cross-team communication
• Own trade-off discussions between utilization, cost, latency, and reliability, synthesizing inputs from technical and business stakeholders and communicating decisions to leadership
• Develop and improve the processes and frameworks the team uses to plan, track, and execute compute programs at increasing scale and complexity

You may be a good fit if you:

• Have 7+ years of technical program management experience in infrastructure, platform engineering, or compute-intensive environments
• Have led complex, cross-functional programs involving multiple engineering teams with competing priorities and ambiguous requirements
• Have experience working with research or ML teams and translating their needs into operational plans and technical requirements
• Are comfortable diving deep into technical details (cloud infrastructure, cluster management, job scheduling, resource orchestration) while maintaining program-level visibility
• Thrive in ambiguous, fast-moving environments where you need to define scope and build processes from the ground up
• Have strong communication skills and can engage credibly with engineers, researchers, finance, and executive leadership
• Have a track record of building trust with engineering teams and driving changes through influence rather than authority

Strong candidates may also have:

• Experience managing compute capacity across multiple cloud providers (AWS, GCP, Azure) or hybrid cloud/on-premises environments
• Familiarity with job scheduling, resource orchestration, or workload management systems (Kubernetes, Slurm, Borg, YARN, or custom schedulers)
• Experience with GPU or accelerator infrastructure, including the unique challenges of large-scale ML training and inference workloads
• Built or improved observability for infrastructure systems: dashboards, alerting, efficiency metrics, or cost attribution
• Capacity planning experience including demand forecasting, cost modeling, or hardware lifecycle management
• Scaled through hypergrowth in AI/ML, HPC, or large-scale cloud environments

Deadline to Apply: None, applications will be received on a rolling basis.

About the Role

Anthropic's Infrastructure organization is the engine that powers our mission. Every breakthrough in AI safety research and every interaction users have with Claude depends on the systems we build and operate: massive clusters for training frontier models, production infrastructure serving millions of users reliably, and developer platforms that help engineers move fast without breaking things.

As a Technical Program Manager for Infrastructure, you’ll work across multiple infrastructure domains to coordinate complex programs that have broad organizational impact. You’ll be solving novel scaling challenges at the frontier of what's possible, all while maintaining the security and reliability our mission demands.

This role is ideal for someone who thrives in ambiguity and believes their job is to make everyone around them more effective. You’ll partner closely with engineering leadership to drive strategic initiatives while ensuring seamless coordination between research, engineering, and product teams.

What you’ll do:

Developer Productivity & Tooling

• Drive cross-functional programs to improve developer environments, CI/CD infrastructure, and release processes that enable rapid innovation while maintaining high security standards
• Coordinate large-scale migrations and platform modernization efforts across engineering teams
• Partner with teams to measure and improve developer productivity metrics, identifying bottlenecks and driving systematic improvements
• Lead initiatives to integrate AI tools into development workflows, helping Anthropic be at the forefront of AI-assisted research and engineering

Infrastructure Reliability & Operations

• Drive programs to establish and achieve reliability targets across training infrastructure and production services
• Coordinate incident response improvements, post-mortem processes, and on-call rotations that help teams operate effectively
• Establish metrics and dashboards to track infrastructure health, capacity utilization, and operational excellence

Cross-functional Coordination

• Serve as the critical bridge between infrastructure teams, research, and product, translating technical complexities into clear updates for a variety of audiences
• Consult with stakeholders to deeply understand infrastructure, data, and compute needs, identifying solutions to support frontier research and product development
• Drive alignment on priorities and timelines across teams with competing constraints

You May Be a Good Fit If You

• Have 5+ years of technical program management experience, with a track record of successfully delivering complex infrastructure programs in ML/AI systems or large-scale distributed systems
• Have deep technical understanding of infrastructure systems—enough to engage substantively with engineers, identify technical risks, and add value beyond project tracking
• Excel at creating structure and processes in ambiguous environments, bringing clarity to complex cross-team initiatives
• Have strong stakeholder management skills and can build trust with both technical and non-technical partners
• Are comfortable navigating competing priorities and using data to drive technical decisions
• Have experience with developer productivity initiatives, CI/CD systems, or infrastructure scaling
• Thrive in fast-paced environments and can balance strategic planning with tactical execution
• Are obsessed with reliability, scalability, security, and continuous improvement
• Have a passion for supporting internal partners like research to understand their unique needs
• Are passionate about AI infrastructure and understand the unique challenges of building and operating systems at frontier scale
• Experience with Kubernetes, cloud platforms (AWS, GCP, Azure), and ML infrastructure (GPU/TPU/Trainium clusters)
• Background working with research teams and translating their needs into concrete technical requirements
• Experience driving adoption of AI tools to improve engineering productivity
• Familiarity with observability tooling and practices

Deadline to Apply: None, applications will be received on a rolling basis.

About the Role 

As a Technical Program Manager for Inference, you'll be the critical bridge between our inference systems and the broader organization. You'll drive strategic initiatives across inference runtime and accelerator performance—coordinating model launches, managing cross-platform dependencies, and ensuring reliability across multiple hardware targets. This role is essential for keeping our most contended infrastructure teams shipping effectively while Research, Product, and Safety all depend on their output.

Responsibilities:

• Systems Integration & Coordination: Lead cross-functional initiatives for new infrastructure integration, establishing clear ownership, timelines, and communication channels between teams. Drive end-to-end planning for major infrastructure transitions including platform modernization and new tech adoption. 
• Performance & Efficiency: Partner with engineering teams to identify optimization opportunities, track performance metrics, and prioritize work that unlocks capacity gains. Coordinate across runtime and accelerator layers to ensure efficiency wins ship without compromising reliability.
• Launch Coordination: Drive end-to-end readiness for model and feature launches across multiple hardware platforms. Establish processes for cross-platform validation, manage launch timelines, and ensure smooth handoffs between runtime, accelerator, and downstream teams.
• Strategic Planning: Own and prioritize the inference deployment roadmap, working closely with engineering leadership to prioritize initiatives and manage dependencies. Provide visibility into upcoming changes and their organizational impact.
• Stakeholder Communication: Build strong relationships across research, engineering, and product teams to understand requirements and constraints. Translate technical complexities into clear updates for leadership and ensure alignment on priorities and timelines.
• Process Improvement: Identify inefficiencies in current workflows and drive systematic improvements. Establish metrics and dashboards to track infrastructure health, capacity utilization, and deployment success rates.

You may be a good fit if you:

• Have several years of experience in technical program management, with proven success delivering complex infrastructure programs, preferably in ML/AI systems or large-scale distributed systems
• Have deep technical understanding of inference systems, compilers, or hardware accelerators to engage substantively with engineers and identify technical risks. 
• Excel at creating structure and processes in ambiguous environments, bringing clarity to complex cross-team initiatives
• Have strong stakeholder management skills and can build trust with both technical and non-technical partners
• Are comfortable navigating competing priorities and using data to drive technical decisions
• Have experience with infrastructure scaling initiatives, hardware integrations, or deployment governance
• Thrive in fast-paced environments and can balance strategic planning with tactical execution
• Are passionate about AI infrastructure and understand the unique challenges of deploying and scaling large language models

Deadline to apply: None, applications will be received on a rolling basis.

About the Role

As a Technical Program Manager for Marketing Technology, you will lead our Marketing Mix Modeling (MMM), incrementality testing, brand measurement, and marketing data infrastructure programs. You'll orchestrate complex, cross-functional initiatives spanning vendor partnerships, data infrastructure, experimentation design, and stakeholder alignment to build world-class marketing measurement capabilities for Anthropic's growth.

You'll serve as the central coordinator between Data Science, Growth Marketing, Brand Marketing, Product, Engineering, Data Infrastructure, Privacy, Finance, and external partners including MMM vendors, media platform partners, and agencies. This role requires someone who can navigate technical complexity, drive alignment across diverse stakeholders, and translate between business strategy and technical execution across both performance and brand measurement.

As the program lead for our measurement infrastructure, you'll be responsible for delivering our MMM proof-of-concept, establishing ongoing experimentation frameworks, designing and executing brand lift studies, leading the strategic assessment and migration of infrastructure, and building the operational foundations that enable data-driven marketing investment decisions at scale.

Responsibilities:

• Marketing Measurement Intelligence: Lead end-to-end program management for MMM proof-of-concept execution, and transition to production operations. Design and execute comprehensive incrementality testing programs including geo-based experiments, conversion lift studies, and in-platform tests with media partners to calibrate and validate MMM outputs. Lead brand lift study design and execution across media platforms to measure awareness, consideration, favorability, and intent. Synthesize measurement results across MMM, brand lift, and incrementality testing for holistic marketing effectiveness views, building reporting frameworks that connect brand health metrics to business outcomes.
• MarTech Infrastructure & Vendor Management: Support strategic assessments of marketing technology platforms, facilitating cross-functional evaluation and driving stakeholder alignment on build-vs-buy decisions while mapping dependencies and identifying blockers. Serve as key contact for vendors and agencies, managing relationships, business reviews, and coordinating execution with implementation roadmaps. Establish operational excellence standards including monitoring, alerting, version control, automated privacy validation, and incident response protocols while maintaining executive visibility into platform initiatives and working with Legal and Security on vendor reviews. 
• Marketing Workflow Automation: Partner with Marketing leadership to identify, prioritize, and support deployment of AI-powered automation solutions for marketing operations. Establish governance frameworks, quality standards, validation processes, and monitoring mechanisms for automated marketing workflows. Build sustainable operating models for ongoing automation maintenance and continuous improvement. Track and measure automation impact to demonstrate ROI to leadership and cross-functional teams. Act as a center of excellence to socialize successful automation stories within Marketing to the broader Anthropic organization.

You May Be a Good Fit If You:

• Have 7+ years of technical program management experience, with 3+ years in marketing measurement, analytics infrastructure, or data science programs
• Have a track record of successfully managing complex programs involving data science, marketing operations, engineering, agencies, and vendors
• Possess deep understanding of MMM, attribution, incrementality testing, brand lift studies, and experimentation design
• Have strong technical fluency with customer data platforms, marketing data sources, data warehouses, and analytics platforms
• Have experience evaluating and migrating between marketing technology platforms or data infrastructure systems
• Can engage with data scientists on regression analysis, causality, adstock modeling, and experimental design
• Understand CDP architecture including event collection, tag management, streaming delivery, reverse ETL, and privacy compliance
• Are familiar with privacy regulations (GDPR, CCPA) and data sovereignty requirements
• Have a track record of delivering 0-to-1 programs on aggressive timelines with high visibility
• Excel at translating technical concepts for varied audiences and can influence without authority
• Thrive in ambiguous situations, bringing structure to complex challenges with competing priorities and limited resources
• Have excellent written and verbal communication skills with executive presence and strong presentation abilities
• Are passionate about Anthropic's mission and interested in the challenges of bringing frontier AI capabilities to market

Deadline to apply: None, applications will be received on a rolling basis.

About the Role

Safeguards Engineering builds and operates the infrastructure that keeps Anthropic's AI systems safe in production — the classifiers, detection pipelines, evaluation platforms, and monitoring systems that sit between our models and the real world. That infrastructure needs to be not just correct, but reliable: when a safety-critical pipeline goes down or degrades, the consequences can be serious, and they can be invisible until someone looks closely.

As a Technical Program Manager for Safeguards Infrastructure and Evals, you'll own the operational health and forward momentum of this stack. Your primary responsibility is driving reliability — owning the incident-response and post-mortem process, ensuring SLOs are defined and met in partnership with various teams, and making sure that when things go wrong, the right people know, the right actions get taken, and those actions actually get closed out. Alongside that ongoing operational rhythm, you'll coordinate the larger platform investments: migrations, eval-platform improvements, and the cross-team dependencies that connect them.

This role sits at the intersection of operations and program management. It requires genuine technical depth — you need to understand how these systems work well enough to triage effectively, judge what's actually safety-critical versus what can wait, and have informed conversations with the engineers building and maintaining them. But the core of the job is keeping the machine running well and the work moving.

What You'll Do:

• Own the Safeguards Engineering ops review - Drive the recurring cadence that keeps the team informed and coordinated: surfacing recent incidents and failures, bringing visibility to reliability trends, and making sure the right people are in the room when decisions need to be made. This is the heartbeat of how Safeguards Eng stays ahead of operational risk.
• Drive incident tracking and post-mortem execution - When incidents happen — and in this space, they happen regularly — you'll make sure they get followed through properly. That means tracking incidents across the organization (including those owned by partner teams like Inference), ensuring post-mortems get written, and most critically, making sure the action items that come out of them actually get done. Closing the loop on post-mortem actions is one of the highest-leverage things this role does.
• Establish and maintain SLOs with partner teams - Work with Safeguards Engineering teams and key partners — particularly Inference and Cloud Inference — to define service-level objectives for safety-critical pipelines. Then build the tracking and reporting that makes it possible to tell whether those SLOs are being met, and surface it when they're not.
• Maintain runbook quality and incident-ownership clarity - Safety-critical systems need clear playbooks for when things go wrong. Partner with engineering leads to keep runbooks accurate, actionable, and up to date — and ensure that ownership of incidents (including for areas like account-banning false positives and CSAM detection) is unambiguous so that nothing falls through the cracks during an active incident.
• Drive platform migrations and infrastructure projects - Own the program management for the larger infrastructure work on the roadmap: migrating the infra from one platform to the next, moving from one incident platform to the next and from one cloud system monitoring to another, and other migrations as they come. These are cross-team efforts with real dependencies — your job is to keep them sequenced, on track, and connected to the teams that need them.
• Coordinate evals platform improvements - Partner with the evals engineering team to drive improvements to the evaluation platform — including self-serve capabilities and the broader eval factory infrastructure. Help scope the work, track dependencies on other Safeguards systems, and make sure the evals platform is keeping pace with the team's needs.

You might be a good fit if you:

• Have solid technical program management experience, particularly in operational or infrastructure-heavy environments — you're comfortable owning a mix of ongoing operational cadences and discrete project work simultaneously.
• Understand how production ML systems work well enough to triage incidents intelligently and have substantive conversations with engineers about what's going wrong and why — you don't need to write the code, but you need to follow the technical thread.
• Are energized by closing loops. Post-mortem action items that never get done, SLOs that no one checks, runbooks that go stale — these things bother you, and you know how to build the processes and follow-ups that fix them.
• Can work effectively across team boundaries — comfortable coordinating with partner teams (like Inference) where you don't have direct authority, and skilled at keeping shared work moving through influence and clear communication.
• Thrive in environments where the work shifts between "keep the lights on" and "build something new" — and can context-switch between incident follow-ups and longer-horizon platform projects without dropping either.
• Have experience with or strong interest in AI safety — you understand why the reliability of a safety-critical pipeline is a different kind of problem than the reliability of a product feature, and that distinction motivates you.

Strong candidates may also:

• Have experience with SRE practices, incident management frameworks, or on-call operations at scale.
• Have worked on or with evaluation infrastructure for ML systems — understanding how evals get designed, run, and interpreted.
• Have experience driving infrastructure migrations in complex, multi-team environments — particularly where the migration touches operational systems that can't go offline.
• Be familiar with monitoring and alerting tooling (PagerDuty, Datadog, or equivalents) and the operational culture around them.

Deadline to apply: None, applications will be received on a rolling basis.

About the Role

Claude is used by millions of people every day through our web, mobile, and desktop applications. As these products scale, so does the complexity of coordinating across engineering teams and cross-functional partners. We need an experienced Technical Program Manager to drive critical initiatives across our product engineering organization.

You'll be instrumental in coordinating high-complexity cross-team efforts, driving launch readiness, and ensuring seamless execution across platform and product teams. This role is critical as our products grow in scale and complexity.

Responsibilities:

• Lead cross-team engineering initiatives, coordinating between platform, product, and infrastructure teams to deliver high-quality releases
• Drive program execution for major product features, ensuring alignment across engineering, legal, policy, and other cross-functional partners
• Partner with engineering leadership to improve development velocity, manage dependencies, and remove blockers
• Build and maintain relationships across engineering teams to understand technical requirements, constraints, and tradeoffs
• Create comprehensive program documentation including roadmaps, status reports, risk assessments, and communication plans
• Facilitate technical decision-making by bringing together stakeholders, driving consensus, and ensuring timely resolution of blocking issues
• Establish processes and frameworks for scaling product development and improving engineering excellence
• Drive launch readiness across teams, ensuring predictable and well-communicated releases

You may be a good fit if you:

• Have several years of experience in technical program management, with a track record of successfully delivering complex, cross-functional programs
• Have experience with web, mobile, or client application development and the ability to engage meaningfully with frontend and backend engineers
• Have experience coordinating across multiple engineering teams and cross-functional partners (legal, policy, etc.) simultaneously
• Are highly organized and can manage multiple parallel workstreams effectively across distributed teams
• Thrive in unstructured environments with a knack for bringing order to chaos and creating clarity in ambiguous situations
• Have excellent written and verbal communication skills, with the ability to influence without authority
• Have a track record of building trust with technical teams and driving change through influence
• Are passionate about Anthropic's mission and interested in the challenges of bringing AI capabilities to users safely and reliably
• Have experience with high-growth products serving large user bases (preferred but not required)

Deadline to apply: None, applications will be received on a rolling basis.

About the Role

As a Technical Program Manager for Security, Coordinated Vulnerability Disclosure (CVD), you will build and lead the programs that govern how Anthropic responsibly discloses software vulnerabilities discovered by our AI-powered tools, including Claude, Patchy, and Claude Code. These tools have already found real zero-days in Firefox, the Linux kernel, and other critical software. The challenge is no longer just finding vulnerabilities; it is managing the consequences of finding them at unprecedented scale and speed.

Traditional coordinated disclosure frameworks were designed for a world where a researcher might find one serious vulnerability every few weeks. AI-powered discovery has changed that equation entirely; Claude can surface hundreds of findings in a single codebase in a single day. This role exists to ensure that every finding reaches the right maintainer, at the right pace, with the right context, and that Anthropic meets its Responsible Scaling Policy (RSP) commitments in the process.

You will own the end-to-end CVD lifecycle: from internal triage and human validation of AI-generated findings, through tiered disclosure timelines, to external coordination with vendors, open-source maintainers, and organizations. This role requires deep collaboration across Security Engineering, Legal, Communications, Product, and Frontier Red Team to ensure Anthropic operates as a responsible steward of the vulnerabilities its tools discover.

Responsibilities:

• Own end-to-end CVD program strategy and execution: Define and drive the roadmap for coordinated vulnerability disclosure, from AI-generated finding through maintainer notification, remediation tracking, and public disclosure. Ensure alignment with Anthropic’s security posture and RSP compliance requirements.
• Lead internal triage and quality assurance: Establish and manage the human review process that validates all AI-generated findings before external disclosure. Set minimum confidence thresholds, deduplicate against known CVEs, and ensure every report sent to a maintainer meets Anthropic’s quality bar.
• Design and operate tiered disclosure timelines: Implement severity-based disclosure windows with appropriate extension policies. 
• Build and manage pacing and submission models: Develop rate-limiting frameworks that govern how many findings are submitted to each project, scaled to maintainer capacity and project size. 
• Lead external coordination and partner engagement: Manage relationships with open-source maintainers and closed-source vendors. Serve as the primary point of contact for vulnerability coordination, including escalation when maintainers are unresponsive. Drive the phased rollout from initial trusted partners through broader open-source engagement.
• Establish program metrics and reporting: Define and track the metrics that determine program health, including fix rates, false-positive rates, median time-to-patch, and qualitative maintainer feedback. Use these metrics to inform decisions about program expansion, pacing adjustments, and policy updates.
• Drive response category classification: Manage the process for classifying findings into response categories (latent vulnerability, active exploitation, ecosystem-level pattern) and ensure the appropriate response protocol is triggered for each category.
• Lead cross-functional coordination: Manage stakeholder relationships across Security Engineering, Legal, Communications, Product, and Frontier Red Team to drive alignment and execution on disclosure initiatives. Ensure legal review of disclosure timelines and coordinate public communications around significant findings.
• Collaborate with senior leadership and executives: Communicate program vision, risks, and progress with executive presence. Influence strategic priorities and secure alignment across leadership teams, including the CISO and CTO organizations.

You May Be a Good Fit If You Have:

• 10+ years of experience in cybersecurity, vulnerability management, or security operations, with at least 4+ years leading vulnerability disclosure, vulnerability management, or coordinated response programs
• Deep understanding of coordinated vulnerability disclosure processes, including experience working with CERT/CC, MITRE CVE, or similar coordination bodies
• Technical familiarity with vulnerability discovery tooling, static analysis, fuzzing infrastructure (e.g., OSS-Fuzz, CodeQL), and the triage workflows that turn raw findings into actionable reports
• Experience engaging directly with open-source maintainers and understanding the dynamics of open-source project governance, contributor capacity, and maintainer burnout
• Proven experience as a Technical Program Manager or similar role in a cybersecurity or technology-focused environment, with a track record of leading complex, cross-organizational programs to successful completion
• Executive communication skills with demonstrated ability to influence decisions at the senior leadership and C-suite level
• Ability to manage highly ambiguous problems and navigate challenges to achieve program objectives in a fast-paced, evolving environment
• Strong collaboration skills with proven ability to partner across diverse technical and non-technical stakeholders including Security Engineering, Legal, Communications, and Product teams

Strong Candidates May Also Have:

• Experience building vulnerability disclosure or coordinated response programs from the ground up in high-growth technology companies
• Background as a CVE Numbering Authority (CNA) operator, or experience managing the operational requirements of CVE issuance, embargo coordination, and formal vulnerability tracking
• Familiarity with AI/ML-powered security tooling and the unique challenges of managing AI-generated vulnerability reports at scale, including false-positive filtering and quality assurance
• Experience with vulnerability management platforms and tracking systems (e.g., HackerOne, Bugcrowd, or custom internal tooling)
• Prior work in security research, penetration testing, or red teaming that provides firsthand understanding of the vulnerability lifecycle from discovery through remediation
• Familiarity with compliance frameworks (SOC 2, ISO 27001, FedRAMP) and their intersection with vulnerability disclosure requirements
• Experience managing multi-stakeholder disclosure scenarios involving ecosystem-level vulnerabilities that affect multiple projects simultaneously

Deadline to Apply: None, applications will be received on a rolling basis.