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Technical Program Manager, Claude Experiences

Anthropic

Technical Program Manager, Claude Experiences

Anthropic

San Francisco, CA | New York City, NY | Seattle, WA

·

On-site

·

Full-time

·

1mo ago

Compensation

$290,000 - $365,000

Benefits & Perks

Generous paid time off and holidays

Comprehensive health, dental, and vision insurance

Team events and activities

Flexible work arrangements

Professional development budget

Competitive salary and equity package

Healthcare

Flexible Hours

Learning

Equity

Required Skills

PostgreSQL

Node.js

React

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

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.

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.

Annual Salary:

$290,000—$365,000 USD

Logistics

Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience.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. 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

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About Anthropic

Anthropic

Anthropic

Series F

An AI safety and research company that builds reliable, interpretable, and steerable AI systems.

1,001-5,000

Employees

San Francisco

Headquarters

$60B

Valuation

Reviews

4.5

20 reviews

Work Life Balance

3.0

Compensation

4.5

Culture

4.8

Career

4.2

Management

3.5

100%

Recommend to a Friend

Pros

Exceptional team quality and talent

Cutting-edge AI and technical work

Strong mission-driven culture

Cons

Long working hours

Opaque leadership and management

High learning curve and fast pace

Salary Ranges

31 data points

Senior/L5

Senior/L5 · Analytics Engineer

1 reports

$409,500

total / year

Base

$315,000

Stock

-

Bonus

-

$409,500

$409,500

Interview Experience

5 interviews

Difficulty

4.0

/ 5

Offer Rate

40%

Experience

Positive 40%

Neutral 40%

Negative 20%

Interview Process

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

Technical Interview

5

System Design Round

6

Final Round/Onsite

7

Offer

Common Questions

Coding/Algorithm

System Design

Technical Knowledge

Behavioral/STAR

ML/AI Concepts