We're looking for a senior product manager to own our most ambitious bet: building learning products and experiences that are native to frontier AI.

Responsibilities

• Build at the frontier: co-develop vision and own strategy and execution for AI-native learning products
• Work closely with research teams to understand emerging capabilities and what they unlock for learners
• Prototype and experiment to validate ideas quickly, using Claude and our internal tools as building blocks
• Anticipate how capability shifts change the product and build with that trajectory in mind
• Stay close to learners: run user research, watch real people move from 'I don't understand this' to 'I could teach this,' and let what you observe reshape what we build

You may be a good fit if you have

• 5+ years in product management, with a track record of shipping products from zero to one and seeing them through to real impact
• Technical fluency: you're comfortable with AI tools, can prototype with Claude, and hold your own in conversations with researchers and engineers
• Genuine curiosity about frontier AI: you follow what's emerging, you play with new capabilities, and you have opinions about where things are heading
• Comfort with ambiguity and wide scope: you make good calls with incomplete information and you're not precious about where your job ends
• A track record as a force multiplier on small teams: you make the people around you more effective, not just your own roadmap
• Strong written and verbal communication: you can write a crisp spec, present to leadership, and synthesise messy stakeholder input into a clear direction

Strong candidates may also have

• Experience working closely with research or applied science teams, or a background that makes you fluent in how research becomes product
• Background in learning products, developer education, or curriculum design
• Founder experience or time at an early-stage company where scope was wide and you wore many hats
• Familiarity with how people actually learn: learning science, instructional design, or strong instincts from having taught something yourself
• Experience building with LLMs as core product infrastructure, not just as a feature

What this role is not

This is a hands-on IC product, project, and program management role. You'll shape strategy, push the team's thinking, and have real influence over what education at Anthropic becomes, and coordinate complex execution across multiple stakeholders and teams , but it doesn't involve people management.

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This role is ideal for someone who thrives in a dynamic environment, enjoys tackling ambiguous problems, and wants to influence our product roadmap directly. The ideal candidate will have a strong background in data analysis, statistical modeling, and machine learning, with a proven track record of delivering high-quality results in a fast-paced environment.

Key responsibilities include:

• Defining key metrics, understanding in-depth the performance of our AI products, and identifying opportunities for improvement.
• Designing and analyzing experiments (A/B tests, causal inference) to validate hypotheses and guide product decisions.
• Designing and implementing end-to-end data science projects, from data collection and preprocessing to model building, evaluation, and deployment.
• Evaluating model performance in training and production, identifying edge cases, and developing frameworks to measure user satisfaction.
• Working with engineering to ensure data quality and accessibility for analytics and ML.

Nice-to-have skills include familiarity with DBT or similar tools, and experience working on customer-facing products, enterprise products, and with the science team.

By joining our team, you will have the opportunity to work on exciting projects, collaborate with talented individuals, and contribute to the development of cutting-edge AI solutions.

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This position requires strong expertise in commercial credit risk, advanced analytical skills, and the ability to translate complex insights into actionable strategies.

Job Responsibilities:

• Lead the development of best in class data-driven credit policies and business strategies: Leverage external (e.g. banking, tax, financial, credit bureau and other data) and internal performance data to develop credit policies (e.g. underwriting criteria, dynamic credit limit programs, etc.). Minimize credit loss by developing and implementing appropriate processes and procedures to identify and mitigate high risk customers. Design and implement data-driven strategies for customer management, including policies for credit line increases, decreases, and line reinstatements. Work closely with the sales and business development teams to support business growth strategies that preserve effective underwriting and ensure the appropriate application of Jeeves’ credit policy.

• Deliver advancements in data and analytics: Contribute to the development of a data and analytics framework to improve processing, underwriting, tracking, risk management, and reporting procedures. Design and execute data driven analyses and tracking procedures to enhance insights on credit risk for individual, and the portfolio of companies. Leverage predictive statistical methodologies (e.g., linear/logistic regression, segmentation analysis) to draw insights and develop business strategies. Partner with data scientists to build and leverage credit risk models to optimize credit policies and improve business performance.

• Improve credit monitoring and governance: Define key performance indicators (KPIs) for credit portfolios; build dashboards to monitor portfolio health and strategy performance. Develop and implement improvements to credit portfolio monitoring, client review tracking, management reporting, and customer risk rating assignments. Partner with product, engineering, and finance teams to create and maintain risk adjusted returns framework, including loss forecasting, and execute credit policies and features Implement risk metric monitoring and develop risk mitigation strategies.

• Provide guidance and mentorship to junior analysts on the team, fostering a culture of rigorous analysis and innovation.

Required Qualifications:

• 4+ years in analytics within credit risk management.
• Fluent in English.
• Excellent written and verbal communication skills.
• Intellectual curiosity.
• Experience in commercial credit risk, specifically within credit cards, payments, lending, or related industries.
• Proven ability to translate complex data and model results into actionable business strategies.
• Advanced proficiency in SQL and Excel.
• Experience using Python or R for data analysis and statistical modeling (regression, clustering, etc.).

Preferred Qualifications:

• Experience in architecting, implementing, and interpreting risk/scoring models in conjunction with data science teams.
• Experience in high growth startups.
• Experience with visualization tools such as Tableau.
• Experience building complex financial products and models.

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