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Summary
Define and iterate on support-to-product loops, own metrics for case volume and resolution time, and drive product strategy for an AI-driven support layer.
About this role
Anthropic
Product Manager (Technical), Product Support Experience
San Francisco, CA +1Full-time
Checked 2h ago
Posted 21 Oct 2026 on Anthropic's careers page
What the interview will test
Technical Product Manager interviews are usually assessed on
Product Sense
System Design Fundamentals
Execution & Roadmapping
API & Integration Design
Metrics & Analytical Reasoning
Stakeholder Communication
Practicing for this role builds your session around these skills, with this posting's own requirements folded in.
What you'd do
Deeply understand the needs of Product Support Operations, AI Support, Billing, Fraud, and the product engineering teams that own support drivers, from specialists handling enterprise escalations to engineers who need a support case turned into a reproducible bug they can fix.
Define and iterate on the support-to-product loop: how a case is classified, how recurring drivers are surfaced in near real time with case examples and recommended fixes, how each driver gets a named owner, and how we confirm the fix decreased case volume. Own the metrics behind it: inbound case volume by driver, drivers fixed at the root, and time from first case to shipped fix, alongside the response-time and CSAT targets Product Support Operations already runs on.
Own the customer's experience of getting unblocked: how quickly a user reaches a resolution and how little friction they hit on the way, whether Claude resolves the case or hands it to a specialist.
Minimize the blast radius of novel issues. New models and product changes will keep creating new drivers no one can predict; catch each one at its first reports, assess impact, and get the fix prioritized while the affected group is still small.
Partner with engineering and data science to build the systems that scale with Anthropic’s growth: Claude as the first responder, the data pipeline behind driver detection, and the tooling that lets Claude hand a diagnosed case to the right team.
Drive product strategy and roadmap for the in-house Claude support layer, including what Claude resolves on its own, what it escalates and to whom, and how far it goes toward filing and fixing the underlying product issue itself.
Own the trade-off framework between intake reduction, response time, cost, and quality, making transparent prioritization decisions about which drivers get fixed first and communicating them clearly to Product Support and senior leadership.
Build conviction about what support looks like when Claude is the primary operator, and translate that into a roadmap that gets Anthropic there ahead of the volume curve.
What they're looking for
7+ years of product management experience, with deep exposure to support systems, customer operations tooling, billing or payments, or internal platforms that serve operations teams
Experience taking technical platform products from infancy to scale: you've built something from the ground up and grown it to serve demanding internal or external engineering customers
Track record of building products that balance the needs of multiple personas, and of making prioritization trade-offs between them and communicating them clearly
Ability to internalize complex technical systems (case routing, billing and payments flows, LLM-based agents, data pipelines) and translate that understanding into a comprehensive product vision
Fluent across functions: you're equally credible reading a failed-payment trace with engineers, walking a specialist through why a driver got deprioritized, and explaining intake trends to leadership
A strong thesis on how AI changes support: you've thought deeply about what happens when the agent that answers the case can also diagnose, file, and fix what caused it, and you want to build that
Experience scaling an LLM-based product or experience from prototype to real volume, and a clear view of what breaks on the way: quality drift, cost, latency, and user trust
Scrappy and resourceful: you do what it takes to get things done in a fast-moving environment
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Apply on Anthropic's site
Skills named in this posting
System Design
API & Integration Design
Metrics & Analytical Reasoning
Product Strategy
Roadmapping
LLM-based Agents
Data Pipelines
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