Fractional AI Logo

Fractional AI

Forward Deployed Product Manager (SF/NY)

Reposted One Month Ago
In-Office or Remote
Hiring Remotely in Office, Machaze, Manica
200K-275K Annually
Mid level
In-Office or Remote
Hiring Remotely in Office, Machaze, Manica
200K-275K Annually
Mid level
As a Forward Deployed Product Manager, you will lead AI product builds, engage with customers to understand challenges, design solutions, and oversee project delivery while building strong relationships with clients.
The summary above was generated by AI
About Ode with Anthropic

How do you turn a decades-old dataset into an industry-leading medical coding agent? Teach an AI receptionist to book appointments in Spanish? Automatically generate working data connectors from API docs? Build agents that write, test, and deploy their own software packages?

Anthropic is defining frontier AI. Ode is the team bringing frontier AI into practice.

We are a team of experienced builders who care deeply about getting complex AI systems into production, with strong conviction about what makes them succeed. As Anthropic’s services venture, 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.

The Role

Our customers come to us with ambitious, often fuzzy goals — make content moderation faster, customer service cheaper and better, unlock new integrations, automate the workflows no one else can touch.

Your job is to turn those goals into AI-powered solutions that work in the real world, and to own the journey from first conversation to live system to real business impact.

This is a forward-deployed, full-stack customer role:

  • Part engagement manager — you're the primary face of Ode to the client.

  • Part product manager — you decide what we build and why.

  • Part delivery/program manager — you run the execution motion end-to-end.

  • Part “do whatever it takes" operator — you jump into the gaps to keep things moving.

What You’ll Do
  • Own the customer relationship end-to-end. Act as the customer's day-to-day strategic partner and primary point of contact, building trust across all levels of the organization and being candid about tradeoffs.

  • Shape what we build and why. Translate ambiguous business problems into crisp problem statements, user journeys, and success metrics — and work with customers to define what "success" actually means.

  • Turn messy problems into shipped solutions. Translate ambiguous needs into clear requirements, PRDs, and plans for engineers. Shape workflows, edge cases, and evaluation criteria for AI-powered systems.

  • Drive execution across multiple AI products. Run the day-to-day rhythm — planning, check-ins, risk tracking — and coordinate between customers, engineers, designers, and Ode teammates to keep work unblocked and on time.

  • Help create demand, not just fulfill it. Jump on early, messy conversations where the project is still a vague idea. Help founders and sales tease out real pain, sketch solution approaches live, and spot expansion opportunities.

  • Drive adoption and long-term impact. Work with client teams on rollout, enablement, and change management so the systems you build actually get used. Bring back insights that inform Ode's playbooks and product direction.

  • Bring judgment and clarity. When requirements are fuzzy or customers change course, be the person in the room who can say: here's what we're trying to do, here's what we know, here's the plan.

What You Bring
  • Customer-facing, high-stakes experience. You've led projects where customers were under pressure, stakeholders weren't aligned, and the path wasn't obvious. You're comfortable pushing back, reframing the problem, and holding the line on quality. We typically look for 4+ years in product, consulting, or implementations, although we care more about what you've done than the label on your resume.

  • Real product and delivery experience. You've built and shipped products with engineers and designers across multiple cycles. You can run an execution rhythm — stand-ups, planning, tracking, retros — without turning it into process theater. -

  • Structured problem-solving and communication. You ask good questions, structure chaos, and turn ambiguity into a plan — moving from whiteboarding with execs to writing a crisp doc for engineers without losing the plot.

  • Bias for action and ownership. You roll up your sleeves and make things happen, whether that's writing a scrappy SQL query, drafting a support playbook, or jumping into a last-minute exec demo. -

  • Comfort with ambiguity and intensity. You like high-energy environments, messy problems, and "we haven't done this before" projects. You can juggle multiple customers, keep priorities straight, and make good calls with incomplete information.

  • AI curiosity, not AI Dogma. You don't need deep AI expertise on day one — you do need strong reasoning, a desire to learn fast, and a willingness to overuse AI in your own workflow.

How Ode Is Different

A typical PM here ships two to three products per year and learns from dozens more. You have outsized autonomy on each product — but you won't have a year to polish a single system. The upside is constant time on the frontier of models and tooling, and a muscle for AI product development that's hard to build anywhere else.

Many PMs look back at this as the biggest growth period of their career. But it's possible you won't like it — we recommend using the interview process to hear what our team members think.

Our Values
  • Overdeliver: We are writing the playbook on how to create enterprise value with LLMs, and building our reputation as the world’s best applied AI team.

  • Overuse AI: We obsessively explore and experiment with Claude to push the frontier of applied AI and share what we learn with our teammates.

  • Over”engineer” the Culture: We’re building a culture that attracts and retains top applied AI talent, and we stress test large decisions through the perspective of our world class builders.

     
Location

San Francisco, CA

Work Arrangement: 4 days in-person, Fridays remote

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

  • 📈 401k with Matching: Invest in your future with our company-matched retirement plan.

  • 🌴 Unlimited PTO: Take the time you need to relax and rejuvenate.

  • 🏥 Exceptional Medical, Dental, and Vision Coverage: Comprehensive health benefits to keep you and your family healthy.

  • 🚑 Health FSA: Manage out-of-pocket health expenses effectively.

  • 🚌 Commuter Benefits: Make your travel to work easier and more affordable.

  • 🏥 Life Insurance: Providing peace of mind for you and your loved ones.

  • 🎉 Team Events and Activities: Regular events to build camaraderie and a strong team spirit.

 
Ready to join us?

Similar Jobs

11 Days Ago
In-Office or Remote
200K-275K Annually
Mid level
200K-275K Annually
Mid level
Artificial Intelligence • Software
Owns the end-to-end development and delivery of AI-powered products for enterprise clients. Responsibilities include defining problems and success metrics, shaping requirements and PRDs, managing client relationships, coordinating engineers and designers, driving execution, supporting adoption, and identifying expansion opportunities. The role combines product management, client engagement, delivery leadership, and hands-on operational ownership in a fast-paced applied AI environment.
Top Skills: Api IntegrationsArtificial IntelligenceClaudeLarge Language Models (Llms)SQL
9 Days Ago
Remote or Hybrid
Senior level
Senior level
Big Data • Food • Hardware • Machine Learning • Retail • Automation • Manufacturing
Own the vision, roadmap, architecture, and lifecycle of an AI-powered insights platform using autonomous agents to analyze CPG business data and generate recommendations. Translate commercial needs into agent capabilities, manage backlogs and delivery, define evaluation metrics, drive adoption, and ensure responsible AI, security, privacy, vendor, and budget management.
Top Skills: Agent-To-Agent WorkflowsAgentic AiAi/MlAutogenAWSAzureCrewaiData PipelinesDatabricksGCPGenieLanggraphLlmsModel OrchestrationMulti-Agent OrchestrationUnity Catalog
10 Days Ago
Remote or Hybrid
Entry level
Entry level
Big Data • Food • Hardware • Machine Learning • Retail • Automation • Manufacturing
Lead the o9 data enablement program across AMEA and MEU, including roadmap delivery, data migration, governance, quality, integrations, reporting, vendor management, and cutover execution. Coordinate business, technical, and external stakeholders; resolve dependencies and blockers; manage testing, reconciliation, go-live command centers, hypercare, and downstream data validation. Translate technical issues into executive recommendations while building reliable analytics practices and teams.
Top Skills: APIsAtaccamaAWSDatabricksETLGCPGenie BiJupyterMySQLO9OraclePower BIPythonQuickRRstudioSnowflakeSQLTableau

What you need to know about the Boston Tech Scene

Boston is a powerhouse for technology innovation thanks to world-class research universities like MIT and Harvard and a robust pipeline of venture capital investment. Host to the first telephone call and one of the first general-purpose computers ever put into use, Boston is now a hub for biotechnology, robotics and artificial intelligence — though it’s also home to several B2B software giants. So it’s no surprise that the city consistently ranks among the greatest startup ecosystems in the world.

Key Facts About Boston Tech

  • Number of Tech Workers: 269,000; 9.4% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Thermo Fisher Scientific, Toast, Klaviyo, HubSpot, DraftKings
  • Key Industries: Artificial intelligence, biotechnology, robotics, software, aerospace
  • Funding Landscape: $15.7 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Summit Partners, Volition Capital, Bain Capital Ventures, MassVentures, Highland Capital Partners
  • Research Centers and Universities: MIT, Harvard University, Boston College, Tufts University, Boston University, Northeastern University, Smithsonian Astrophysical Observatory, National Bureau of Economic Research, Broad Institute, Lowell Center for Space Science & Technology, National Emerging Infectious Diseases Laboratories

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account