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.
As a Technical Program Manager for Corporate Engineering, you will lead programs that build world-class business solutions enabling every Ant to do their best work. In partnership with Anthropic's IT & Security organization, you will drive end-to-end solutions across the company, delivering the right products, tools, platforms, and experiences for all Ants as they work to create a world for safe and powerful AI. In the simplest terms, you build and drive solutions to enable all of Anthropic to be more productive.
You will use your technical and program management expertise to lead complex, multi-disciplinary programs from start to finish. You will work with stakeholders to plan requirements, identify risks, lead execution, and communicate clearly with cross-functional partners across the company. You are equally comfortable explaining your team's analyses and recommendations to leadership as you are discussing the technical tradeoffs in product development with engineers.
This role owns the full spectrum of Corporate Engineering programs: the IT systems Ants depend on daily, first-party and third-party software platforms, endpoint devices, office infrastructure, AV and collaboration equipment, network infrastructure, and the programs that scale our physical office footprint as Anthropic grows.
ResponsibilitiesPartner across Corporate Engineering domains to drive alignment and delivery: Work with globally distributed product, engineering, and architecture teams to foster collaboration, help teams adopt enterprise standards, and enable faster delivery with consistent practices across the organization
Define and maintain core architectural foundations: Assist in establishing and maintaining the architectural standards that underpin Corporate Engineering systems, ensuring scalability, reliability, and security as Anthropic grows
Lead office deployment and scaling programs: Own end-to-end planning and execution for new office buildouts and expansions, coordinating across IT, Facilities, Security, and external vendors to deliver fully operational workspaces on schedule
Own internal systems and infrastructure programs: Drive programs for all internal systems and hardware deployed in Anthropic buildings, including network infrastructure, AV equipment, printing and collaboration hardware, and building technology integrations
Lead endpoint and device management programs: Own global programs for corporate laptops, mobile devices, and endpoint management, ensuring Ants have secure, well-managed devices that enable productivity from day one
Drive IT Operations excellence: Lead programs that improve IT service delivery, support operations, and the overall Ant experience with technology, driving continuous improvement in reliability and responsiveness
Manage enterprise software and platform programs: Lead programs for the 1P and 3P software platforms Ants depend on, including HR systems, productivity tools, and business applications, from evaluation through deployment and ongoing optimization
Collaborate with cross-functional stakeholders: Work closely with Security, Facilities, People, Finance, and functional teams across Anthropic to ensure Corporate Engineering programs meet diverse organizational needs
Communicate effectively at all levels: Comfortable communicating across all levels of Anthropic from presenting analyses, recommendations, and program status to leadership, engaging deeply on technical tradeoffs with engineering teams, and communicating broadly to the entire company
8+ years of experience in IT, Corporate Engineering, or Enterprise Technology, with at least 4+ years leading complex, cross-functional programs
Technical background in enterprise IT systems, including endpoint management, identity and access management, network infrastructure, and SaaS platforms
Experience leading office buildout or infrastructure deployment programs, coordinating across IT, Facilities, and external vendors
Proven experience as a Technical Program Manager or similar role in a technology-focused environment, with a track record of leading company-wide programs to successful completion
Strong communication skills with the ability to translate technical concepts for executive audiences and engage credibly with engineers on technical details
Ability to manage ambiguity and drive clarity in fast-paced, evolving environments where requirements and priorities shift
Strong collaboration skills with proven ability to partner across diverse stakeholders including IT, Security, Facilities, People, Finance, and functional teams
Experience scaling IT infrastructure in high-growth technology companies
Background in IT service management (ITSM) frameworks and continuous improvement methodologies
Experience with enterprise software evaluation, procurement, and vendor management
Familiarity with modern endpoint management platforms and zero-trust security architectures
Experience with AV systems, video conferencing infrastructure, and collaboration technology deployments
Prior technical experience as an IT engineer, systems administrator, or network engineer
Experience with IT programs in AI/ML research environments or organizations with unique security and compliance requirements
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Skills Required
- 8+ years of experience in IT, Corporate Engineering, or Enterprise Technology
- At least 4 years leading complex, cross-functional programs
- Technical background in enterprise IT systems, including endpoint management, identity and access management, network infrastructure, and SaaS platforms
- Experience leading office buildout or infrastructure deployment programs across IT, Facilities, and external vendors
- Proven experience as a Technical Program Manager or similar role in a technology-focused environment
- Strong communication skills for executive audiences and technical discussions with engineers
- Ability to manage ambiguity and shifting requirements in fast-paced environments
- Strong collaboration skills across IT, Security, Facilities, People, Finance, and functional teams
- Bachelor's degree or equivalent combination of education, training, and experience
- Field of study relevant to the role through coursework, training, or professional experience
- Experience scaling IT infrastructure in high-growth technology companies
- Background in IT service management frameworks and continuous improvement methodologies
- Experience with enterprise software evaluation, procurement, and vendor management
- Familiarity with modern endpoint management platforms and zero-trust security architectures
- Experience with AV systems, video conferencing infrastructure, and collaboration technology deployments
- Prior technical experience as an IT engineer, systems administrator, or network engineer
- Experience with IT programs in AI/ML research environments or organizations with unique security and compliance requirements
Anthropic Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Anthropic and has not been reviewed or approved by Anthropic.
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Healthcare Strength — Health coverage for employees and dependents is described as comprehensive across medical, dental, and vision, alongside robust mental-health resources. Feedback suggests this breadth, paired with life and income protection, is a standout element of the package.
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Parental & Family Support — Family-building support includes inclusive fertility benefits and an extended paid parental leave policy. Feedback suggests these programs are positioned as company‑wide and accessible rather than one‑off perks.
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Wellbeing & Lifestyle Benefits — Everyday support spans wellness/time‑saver stipends, education and home‑office stipends, commuter benefits, daily meals/snacks, and relocation assistance. Feedback suggests these perks meaningfully supplement core pay and healthcare.
Anthropic Insights
What We Do
Anthropic is an AI safety and research company that’s working to build reliable, interpretable, and steerable AI systems. Our research interests span multiple areas including natural language, human feedback, scaling laws, reinforcement learning, code generation, and interpretability.
