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About the Role

Ode is Anthropic's services venture, focused on bringing frontier AI into practice by tackling complex AI problems for companies. This role involves turning ambitious client goals into AI-powered solutions, owning the entire project lifecycle from kickoff to tangible business outcomes. It's a hands-on, technical product role requiring close collaboration with engineering and direct client interaction.

Responsibilities

Shape what we build and why by translating ambiguous business problems into crisp problem statements, user journeys, and success metrics.
Define success criteria with customers.
Turn messy problems into shipped solutions by translating ambiguous needs into clear requirements and PRDs.
Run planning with engineers.
Define what good looks like for an AI system and drive to achieve it.
Build working prototypes early to learn user needs and identify technical risks.
Assemble and label ground-truth data with client experts, checking for coverage, consistency, and gaps.
Plan how ground truth data gets maintained and extended.
Work with engineers on prompts, context design, and evals for AI systems.
Run offline evals against ground truth during development and online evals on live traffic after launch.
Propose fixes for AI system failures and iterate until production quality is met.
Make product-level calls on model choice, retrieval and agent design, context management, and build vs. buy decisions.
Own the tradeoffs associated with technical decisions.
Drive the day-to-day rhythm of multiple AI products, including planning, check-ins, and risk tracking.
Coordinate between clients, engineers, designers, and teammates to ensure work is unblocked and on time.
Work with client teams on rollout and enablement to drive adoption.
Bring back insights to inform Ode's playbooks and product direction.
Provide judgment and clarity in ambiguous situations.
Own a team-wide initiative such as delivery playbooks, learning and development, or hiring.
Experiment with AI tools and add effective ones to the shared PM toolkit.

Requirements

Typically 5+ years of experience in product management, engineering, or data science.
Strong engineering, data, or technical PM background.
Ability to whiteboard an end-to-end architecture.
Ability to read a data schema and spot problems.
Ability to use AI tools to build a medium-complexity system that holds up.
Knowledge of how modern AI systems behave in practice.
Understanding of when retrieval beats agentic search.
Knowledge of how to manage context across long multi-step tasks.
Understanding of when a reasoning model is worth the extra latency and cost.
Knowledge of where tool-using agents tend to break.
Ability to explain AI tradeoffs to a CTO and defend a design under technical questioning.
Ability to model complex questions about a system with numbers, including cost per transaction and accuracy tradeoffs.
Logical, extensible, and scrutinizable analysis.
Ability to act as a translation layer between novel technical concepts and business outcomes.
Ability to run a working session with client stakeholders.
Ability to present to client executives.
Ability to keep client relationships healthy as plans change.
Client-facing or consulting experience is a strong plus.
Ability to ask sharp questions and turn a messy situation into a plan.
Ability to whiteboard with an exec and write a precise spec for engineers.
Clear and direct communication.
Roll up sleeves and make things happen.
Ability to close gaps in knowledge independently.
Comfort with high-energy environments, messy problems, and novel projects.
Ability to juggle multiple projects and keep priorities straight.
Ability to make good calls with incomplete information.
Intellectual humility and fast learning.
High integrity, low ego, high agency.
Ability to lift others up and actively share best practices.
Seek to learn from others.
Care about winning together.

Skills

AI systems
Product Management
Engineering
Data Science
Technical PM
Architecture
Data Schema
AI tools
Retrieval
Agentic search
Context management
Reasoning models
Tool-using agents
Quantitative analysis
Client-facing communication
Consulting
Structured problem-solving
Structured communication
Bias for action
Ownership
Ambiguity tolerance
Intensity tolerance
Fast learning
Teamwork

Location

San Francisco, CA
New York City, NY

Work Type

4 days in-person
Fridays remote

Experience Level

5+ years of experience in product management, engineering, or data science

Salary/Compensations

Competitive Compensation Package: Attractive salary aligned with your experience and skills.

Benefits

Competitive Compensation Package
401k with Matching
Unlimited PTO
Exceptional Medical, Dental, and Vision Coverage
Health FSA
Commuter Benefits
Life Insurance
Team Events and Activities

About the Company

Ode is Anthropic's services venture, focused on bringing frontier AI into practice by tackling complex AI problems for companies.
We are a team of experienced builders who care deeply about getting complex AI systems into production.
We tackle the hardest, most consequential AI problems for companies with real stakes, working closely with their Applied AI and Product teams to turn frontier technology into real world impact.
We're backed by Anthropic, Blackstone, Hellman & Friedman, Goldman Sachs, General Atlantic, Leonard Green & Partners, Apollo Global Management, GIC, and Sequoia Capital.
We're headquartered in SF with offices in NYC, Raleigh-Durham, and Dubai.