Performance & Talent Programs Manager

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.

We are seeking an experienced People Programs Manager to join our Performance & Talent Programs team. This role will own the design and end-to-end execution of some of Anthropic's performance and talent programs producing the year-round performance signal that feeds our talent intelligence layer and upholds our performance bar as we scale. This is a senior individual contributor role reporting to the Head of Performance & Talent Programs, and a great fit for a true builder who has both seen performance management excellence at scale and is excited to roll up their sleeves in a rapidly scaling, high-ambiguity environment. You will also work closely with our internal products team, helping guide product decisions as we build and design the architecture that supports performance.

Key responsibilities

• Own end-to-end execution of some of Anthropic's cyclical performance and talent programs (performance pulses, promotions, review cycles, talent reviews, succession planning, etc) and the continuous feedback practices between them

• Ensure these programs scale durably and uphold Anthropic's performance bar and talent density as the company grows

• Design programs to produce useful performance signal year-round and feed it into the talent intelligence layer to inform talent planning decisions

• Partner cross-functionally with People Services on cycle execution, People Analytics on connecting performance data to broader people data and insights, and People Products and engineering on program tooling

• Act as the product partner for our internal tools team: bring the needs of managers, employees, and People Partners to the table, help decide what to build and in what order, and shape the architecture so our performance systems connect cleanly and scale

• Iterate on program frameworks (calibration, rating constructs, feedback formats, promotion criteria) based on data, manager feedback, and Anthropic's evolving needs

• Lead program redesigns and change management, including stakeholder alignment, rollout planning, and communications

• Develop and deliver enablement that helps managers and People Partners run each cycle confidently and consistently

Minimum qualifications

• Systems thinker who treats programs as performance drivers, caring as much about data quality and downstream usefulness as about cycles landing on time

• Demonstrated experience shaping performance tooling (Workday, Lattice, CultureAmp, or homegrown), including time working with an internal tools or engineering team to guide product decisions, and partnering with People Analytics, with comfort getting into the data yourself

• Experience building manager enablement that changes behavior, and supporting leaders through performance, promotion, and talent conversations

• Strong program management skills and operational rigor, with a track record of running complex multi-month cycles and keeping dozens of stakeholders in sync

• Exceptional communicator, particularly in writing, who thrives in ambiguity and evolving scope

• 7+ years of experience designing, running, and owning performance management, talent review, or promotion programs, preferably through periods of rapid headcount growth

• Experience helping define requirements, priorities, and system design for internal people tools, from early idea through adoption

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.

$240,000—$240,000 USD

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.