Used Tools & Technologies
Not specified
Required Skills & Competences
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Marketing @ 4
Product Management @ 7
API @ 4
Claude Code @ 4
AI @ 4
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. The Programmatic Outcomes team exists to increase knowledge-worker AI penetration by designing product-led growth (PLG) activation, in-product onboarding, and adoption loops at population scale. This role sits at the intersection of Product, Customer Success, Growth Marketing, and Strategy, and owns the activation playbook, in-product activation design, and product telemetry inputs that drive habitual use of Claude products.
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 — partner 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, advocating for UX patterns and enablement features that reduce time-to-value and reduce 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, executive workflows) and codify what converts at scale
- Coordinate across Partners and Growth Marketing capability leads to ensure PLG motions are product-anchored and integrated, not parallel to existing functions
- Establish adoption benchmarks, population-level penetration metrics, and health indicators used to track progress on the knowledge-worker gap
- Feed product activation learnings back into Customer Outcomes to create an intelligence loop between population-level data and account-level execution
Requirements
- 8+ years in PLG, growth product management, product marketing, or customer success (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 with end-to-end ownership
- Deep understanding of how product telemetry translates into adoption signals and how to trigger appropriate human and automated interventions
- Strong cross-functional fluency: experience embedded with Product teams while maintaining a GTM orientation and commercial accountability
- Track record of building programmatic motions that scale across a large customer base (not one-off account customizations)
- Practical insight into what drives knowledge workers to build habits around new tools
Logistics
- Location: San Francisco, CA (Anthropic is headquartered in San Francisco)
- Location-based hybrid policy: staff expected to be in an office at least 25% of the time
- Minimum education: Bachelor’s degree or equivalent combination of education/training/experience
- Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience
- Minimum years of experience: Will correlate with internal job level requirements (posting indicates 8+ years)
- Visa sponsorship: Anthropic states they do sponsor visas and retain an immigration lawyer to assist, though sponsorship is not guaranteed for every candidate
Compensation
- Annual salary range: $315,000 - $350,000 USD
Benefits
- Competitive compensation and benefits
- Optional equity donation matching
- Generous vacation and parental leave
- Flexible working hours
- Office space in San Francisco for collaboration
How to apply
The posting includes application instructions and candidate AI usage guidance. Anthropic encourages applicants from diverse backgrounds and asks candidates to confirm understanding of their AI partnership guidelines during the application process.