Strategic Overview
Technical Program Manager, Launches at Anthropic is a product opportunity centered on the specialist responsibilities and outcomes described in the employer's listing.
The published role emphasizes work such as 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….
The role is listed for San Francisco, CA / New York City, NY with the working arrangement published with the role, giving candidates the practical context needed to assess fit before applying.
Key information at a glance
About This Role
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.
Key Responsibilities & Objectives
- 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
Required Qualifications & Candidate Blueprint
- Have several years of experience in technical program management, with a track record of successfully delivering complex, cross-functional programs
- Have strong organizational skills and can manage multiple parallel workstreams effectively
- Have excellent written and verbal communication skills, with the ability to influence without authority
Salary & Benefits
Published compensation: $365,000 – $435,000 USD
Salary Benchmark
This role’s published compensation is compared with current employer-disclosed salary ranges for the same role in the same currency.
Benchmark uses active employer job postings in our database and excludes this listing. It is not a third-party salary estimate, and currencies are not converted.
Full Job Description
The following is the complete job description supplied by the source. We sanitize unsafe markup and remove external links, but do not shorten or rewrite the employer's source content.
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 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
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.
Logistics
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.
How we're different
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.
Editor’s Market Perspective (Our Custom Analysis)
Why This Position Matters
This product opening is a useful opportunity for candidates whose experience matches the role-specific capabilities named in the listing. Its strongest career signal is the scope of the work itself — particularly Lead end-to-end program management for model and product launches, coordinating between research, engineering, product, infrastructure, and partnership teams — rather than a generic title alone.
Resume & Application Strategy
For the application, mirror the employer's language where it truthfully matches your background: foreground the role-specific capabilities named in the listing, quantify outcomes from comparable work, and place the most relevant experience near the top of the resume. If the listing specifies tools, platforms, leadership scope, or domain experience, use those exact terms in context instead of presenting an unrelated keyword list.
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