Science & Research Jobs in California with E-3 Sponsorship

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

Anthropic has 2% knowledge-worker AI penetration against ChatGPT’s 9–10% and Gemini’s 8%. The Programmatic Outcomes team exists to close that gap before distribution lock-out becomes permanent. The Head of Programmatic Outcomes (Product) shapes the product-led growth strategy, in-product activation design, and adoption loops that reach every knowledge worker — not account by account, but at population scale — in deep partnership with Anthropic’s Product, Growth Marketing, and Strategy functions. This is a focused sub-goal of the broader Product and PLG mandate: it requires dedicated ownership precisely because no single existing team holds it end-to-end.

This role sits at the intersection of Product, CS, Growth Marketing, and Strategy — and succeeds by leveraging what each of those teams already does well. You drive the activation playbook the entire AI Outcomes function executes, co-design the in-product onboarding sequences that convert seat activation into habitual use, and shape the product telemetry inputs to the Claude Control Tower alongside Product Engineering and the Systems capability lead. The mandate is to make Claude products so easy to adopt that knowledge workers build habits around them — then codify the plays so they scale beyond what any account team could achieve alone. Success comes through influence and coordination across functions, filling genuine gaps rather than duplicating what Product or Marketing already do.

Responsibilities:

- Drive the PLG activation strategy across Claude Teams, Claude for Enterprise, Claude Code, and API — partnering with Product PMs and Growth Marketing to define plays that drive adoption from first login to habitual daily use
- Co-design onboarding sequences, in-product nudges, and activation milestones with Product — then codify them so the Customer Outcomes team and partners execute at scale
- Shape the product telemetry inputs to the Claude Control Tower — partnering with Product Engineering and the Systems capability lead to define which usage signals indicate healthy vs. at-risk accounts and trigger the right human or automated interventions
- Partner closely with Product PMs to ensure the activation motion is built into the product, not bolted on — serving as the dedicated GTM voice advocating for UX patterns and enablement features that reduce time-to-value, and reducing duplication between Product-owned onboarding and CS-owned playbooks
- Develop and test hypothesis-driven activation plays across specific knowledge-worker use cases (Finance, Legal, HR, exec workflows) — codifying what converts at scale
- Hold the connective tissue across the Partners and Growth Marketing capability leads to ensure PLG motions are product-anchored, not just relationship-driven or campaign-driven — this leader is the integration point, not a parallel function
- Establish adoption benchmarks, population-level penetration metrics, and health indicators the programmatic team uses to track progress on the knowledge-worker gap
- Feed product activation learnings back into the Customer Outcomes motion — creating the intelligence loop between population-level data and account-level execution

YOU MAY BE A GOOD FIT IF YOU HAVE:

- 8+ years in PLG, growth PM, product marketing, or CS strategy with direct ownership of activation or adoption metrics
- Experience designing and running product-led onboarding or activation programs at enterprise SaaS or AI companies — not just contributing to them
- Deep understanding of how product telemetry translates into adoption signals and how to trigger the right human and automated interventions
- Strong cross-functional fluency: you’ve worked embedded with Product teams while maintaining a GTM orientation and commercial accountability
- Track record of building programmatic motions that generate scale across a large customer base — not one-off account customizations
- Real perspective on what drives knowledge workers to build habits around new tools, backed by experience

COMPENSATION

- Annual Salary: $315,000—$350,000 USD

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.