Technical Program Manager, Evaluations

Technical Program Manager, Evaluations

Full-Time Home office (partial)
Anthropic

At a Glance

  • Tasks: Lead AI model evaluation initiatives and drive high-priority projects.
  • Company: Join a pioneering tech company focused on responsible AI development.
  • Benefits: Competitive salary, equity options, unlimited PTO, and comprehensive health benefits.
  • Other info: Diverse team culture with excellent growth opportunities and support for underrepresented groups.
  • Why this job: Shape the future of AI while making a real impact in a collaborative environment.
  • Qualifications: Experience in technical program management and strong communication skills required.

About the role: We are seeking a Technical Program Manager to lead our AI model evaluation initiatives across multiple workstreams. This role will be crucial in assessing the performance, capabilities, limitations, and potential risks of our AI models. Working closely with our Research, Trust & Safety, Frontier Redteaming, and Policy teams, you will drive high-priority evaluation projects to build new processes, align metrics with policy, and track measurable progress. You will help build and adapt the model evaluation program to ensure model deployments are rigorous and aligned with our commitment to responsible AI development.

The ideal candidate will have a strong technical background and experience managing cross-functional programs in AI development, ML engineering, or related fields. You’ll be joining a team of Technical Program Managers who own and drive cross-functional programs that align to the company’s top priorities. In this role, you’ll have the opportunity to make a foundational impact as you contribute to the scaling of a centralized TPM function for the company.

Extremely strong soft skills are paramount, as our team is front and center in driving lots of company-wide changes and top priority initiatives that require generating buy-in, balancing various opinions, and competing for attention in our rapidly scaling environment. This role is a great fit for someone who has both seen excellence at scale and operated in rapidly scaling, high-ambiguity teams and scope. We are seeking candidates with deep TPM expertise but who are comfortable acting as adaptable generalists who add value fast.

We excel at maintaining a broad view of our work but diving deep into the details when necessary. We understand business goals, translate and organize them into technical programs and projects, and drive execution. We are adept at engaging with both non-technical and technical stakeholders at all levels of the company, including executive leadership.

In this role, you will have the opportunity to shape the development of advanced AI systems and contribute to Anthropic's mission of ensuring that AI benefits all of humanity. If you are passionate about responsible AI development, have a strong technical background, and thrive in a fast-paced, collaborative environment, we'd love to hear from you.

Responsibilities:

  • Partner with teams like Frontier Risk Evaluations, Security, and Trust & Safety to develop and implement comprehensive evaluation protocols for our latest frontier AI models.
  • Build a single source of truth for tracking all types of model evaluations as required by our Responsible Scaling Policy, AI safety institutes, the White House, and others.
  • Develop and maintain procedures for conducting evaluations, including designing test suites, coordinating red team exercises, and analyzing results.
  • Create and manage dashboards and reporting systems to track model performance, safety metrics, and evaluation outcomes across different AI systems and versions.
  • Lead cross-functional workshops to identify potential risks and edge cases for evaluation, ensuring thorough coverage of AI capabilities and limitations.
  • Coordinate with external partners and industry standards bodies to align our evaluation practices with emerging best practices in responsible AI development.
  • Provide detailed status reports, identifying technical risks, dependencies, and areas requiring additional support.
  • Facilitate communication and coordination between technical workstreams and stakeholders.
  • Continuously identify opportunities for technical process improvements and implement changes as needed.
  • Stay up-to-date with the latest developments in AI safety, ML engineering, and related fields to ensure the program remains at the forefront of responsible AI development.

You might 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 in AI development, ML engineering, or related fields.
  • Have experience executing technical programs that require systems and engineering-level knowledge.
  • Have exceptionally strong interpersonal and communication skills that enable you to influence without authority, build cross-organizational support, cooperation and action around initiatives and process adoption.
  • Have experience prompt engineering on language models.
  • Have experience designing and/or running evaluations on Large Language Models.
  • Have knowledge of emerging AI governance frameworks and best practices.
  • Have a high threshold for navigating ambiguity and are able to balance setting strategic priorities with rapid, high-quality execution.
  • Thrive in unstructured environments, and have a knack for bringing order to chaos.

The expected salary range for this position is: Annual Salary: $300,000—$320,000 USD.

Logistics

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.

US visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate; operations roles are especially difficult to support. But if we make you an offer, we will make every effort to get you into the United States, 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.

Compensation and Benefits

Anthropic’s compensation package consists of three elements: salary, equity, and benefits. We are committed to pay fairness and aim for these three elements collectively to be highly competitive with market rates.

Equity - For eligible roles, equity will be a major component of the total compensation. We aim to offer higher-than-average equity compensation for a company of our size, and communicate equity amounts at the time of offer issuance.

US Benefits - The following benefits are for our US-based employees: Optional equity donation matching. Comprehensive health, dental, and vision insurance for you and all your dependents. 401(k) plan with 4% matching. 22 weeks of paid parental leave. Unlimited PTO – most staff take between 4-6 weeks each year, sometimes more! Stipends for education, home office improvements, commuting, and wellness. Fertility benefits via Carrot. Daily lunches and snacks in our office. Relocation support for those moving to the Bay Area.

UK Benefits - The following benefits are for our UK-based employees: Optional equity donation matching. Private health, dental, and vision insurance for you and your dependents. Pension contribution (matching 4% of your salary). 21 weeks of paid parental leave. Unlimited PTO – most staff take between 4-6 weeks each year, sometimes more! Health cash plan. Life insurance and income protection. Daily lunches and snacks in our office.

Technical Program Manager, Evaluations employer: Anthropic

At Anthropic, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters collaboration and innovation in the rapidly evolving field of AI. Our commitment to employee growth is evident through comprehensive benefits, including unlimited PTO, generous parental leave, and stipends for personal development, all while working in a supportive environment that values diverse perspectives. Join us in shaping responsible AI systems and enjoy the unique advantage of contributing to meaningful projects that have a profound impact on society.

Anthropic

Contact Details:

Anthropic Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Technical Program Manager, Evaluations

Tip Number 1

Network like a pro! Reach out to folks in your industry, especially those already working at Anthropic. A friendly chat can open doors and give you insider info on the role.

Tip Number 2

Prepare for interviews by diving deep into AI model evaluations. Brush up on your technical knowledge and be ready to discuss how you’ve tackled similar challenges in the past.

Tip Number 3

Show off your soft skills! Be ready to demonstrate how you’ve influenced teams and driven projects forward, even when the going gets tough. We love candidates who can balance technical know-how with great communication.

Tip Number 4

Don’t hesitate to apply through our website, even if you don’t tick every box. We value diverse perspectives and want to hear from you, so go for it!

We think you need these skills to ace Technical Program Manager, Evaluations

Technical Program Management
AI Model Evaluation
Cross-Functional Collaboration
Interpersonal Skills
Communication Skills
Risk Assessment
Data Analysis

Some tips for your application 🫡

Tailor Your Application:Make sure to customise your CV and cover letter for the Technical Program Manager role. Highlight your experience in AI development and technical program management, and show us how your skills align with our mission of responsible AI.

Showcase Your Soft Skills:Since strong interpersonal skills are key for this role, don’t forget to include examples of how you've influenced teams or driven initiatives without direct authority. We want to see how you can engage with both technical and non-technical stakeholders!

Be Clear and Concise:When writing your application, keep it straightforward. Use clear language and avoid jargon where possible. We appreciate a well-structured application that makes it easy for us to see your qualifications and fit for the role.

Apply Through Our Website:We encourage you to submit your application directly through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it shows us you're keen on joining our team!

How to prepare for a job interview at Anthropic

Know Your AI Models

Before the interview, dive deep into the AI models the company is working on. Understand their capabilities, limitations, and any recent developments in AI safety. This will not only show your technical expertise but also demonstrate your genuine interest in the role.

Showcase Your Soft Skills

Since this role requires strong interpersonal skills, prepare examples that highlight your ability to influence without authority and build cross-organisational support. Think of situations where you successfully navigated ambiguity or drove collaboration among diverse teams.

Prepare for Technical Questions

Brush up on your technical knowledge related to AI development and ML engineering. Be ready to discuss your experience with prompt engineering and evaluations on Large Language Models. Practising common technical questions can help you articulate your thoughts clearly during the interview.

Ask Insightful Questions

Prepare thoughtful questions about the company's approach to responsible AI development and how they measure success in their evaluation initiatives. This shows that you're not just interested in the role, but also in contributing to the company's mission and values.