Causal Labs Logo

Causal Labs

Forward Deployed Product Manager

Reposted One Month Ago
Be an Early Applicant
In-Office
San Francisco, CA, USA
Senior level
In-Office
San Francisco, CA, USA
Senior level
Embed with strategic customers to lead cross-functional teams delivering production impact from first engagement to deployment. Coordinate complex deployments, drive stakeholder alignment, translate field learnings into product direction, and spend extended onsite time with customers to ensure results.
The summary above was generated by AI

Our mission is general causal intelligence; AI that is capable of (1) predicting the future and (2) identifying the actions to alter it.

To achieve this breakthrough, we are building a Large Physics foundation Model (LPM) because physical systems, unlike text or images, are governed by verifiable cause and effect. We believe that scaling on physics will enable an understanding of causality required to predict and control physical systems, starting with weather.

Our founding team has built and deployed AI against the physical world in robotics, drug discovery, and particle physics at institutions like DeepMind, Waymo, Cruise, Insitro, Nabla Bio, and CERN.

 
About the deployment team

A model only matters if it changes what happens in the real world. Our deployment teams embed directly with the institutions that make the highest-stakes decisions about physical systems. They turn our models into results those institutions can depend on and carry everything we learn in the field back into the product. Deployment works in small, cross-functional pods and partners closely with Product Engineering, which builds the platform the pods deploy.

 
Forward Deployed Product Manager

We look for leaders who are excited to tackle unsolved problems and to own the outcome end to end. This is not a traditional product role and you will NOT be managing a backlog from a desk. As a Forward Deployed Product Manager, you embed with our most strategic customers and lead the cross-functional team — engineers, strategists, and operators, on our side and theirs — that turns our technology into results they can rely on.

Willingness to travel to and spend extended time on-site with customers is required.

Responsibilities

  • Own the delivery of results for strategic customers, from first engagement through production impact

  • Lead cross-functional deployment teams — Forward Deployed Engineers, strategists, and operations — across both Causal Labs and the customer

  • Embed with customers in their operational environment to understand what winning looks like, and drive relentlessly toward it

  • Coordinate the many moving parts of a complex deployment, keeping every stakeholder aligned and moving

  • Turn what you learn in the field into direction that sharpens the product and the next deployment

What we're looking for

We value a relentless approach to problem-solving, rapid execution, and the ability to quickly learn in unfamiliar domains.

  • A track record of delivering complex, high-stakes projects for demanding customers or stakeholders

  • Exceptional cross-functional leadership — you get engineers, operators, and executives rowing in the same direction

  • Comfort embedding with customers, including significant travel and time on-site in operational environments

  • Strong technical fluency — enough to lead a technical team and earn its respect, without needing to write the code yourself

  • Ownership, urgency, and the judgment to make the right calls with incomplete information

Similar Jobs

2 Days Ago
In-Office
Palo Alto, CA, USA
Senior level
Senior level
Artificial Intelligence • Software
Own customer engagements from discovery through deployment, adoption, and measurable business impact. Translate complex industrial workflows into MVPs, data requirements, user stories, and AI-powered solutions with engineering. Manage tradeoffs between urgency, technical complexity, commercial value, and product reusability. Lead customer rollout, identify repeatable patterns, support expansion and renewal, and turn customer-specific learning into scalable product and delivery processes.
Top Skills: Artificial IntelligenceLarge Language Models (Llms)Machine Learning
2 Days Ago
In-Office
San Francisco, CA, USA
155K-275K Annually
Senior level
155K-275K Annually
Senior level
Artificial Intelligence • Software
Own customer-facing product management for Exa’s AI Search API. Engage startups and enterprises to identify use cases, design tailored solutions, support proof-of-value demos, advise technical and executive stakeholders, and drive customer adoption and expansion. Translate recurring customer needs into high-leverage roadmap priorities and product enablement, while partnering with sales and go-to-market teams on solutions and pricing.
Top Skills: AISearch Api
3 Days Ago
In-Office
San Francisco, CA, USA
180K-220K Annually
Entry level
180K-220K Annually
Entry level
Fintech • Payments • Financial Services
Own strategic product relationships with major accounts, partnering with senior customer product leaders to identify opportunities and guide initiatives from discovery through launch. Coordinate Sales, Customer Success, Implementation, Engineering, and Product teams; test ideas, turn feedback into requirements, maximize integration value, and help establish the forward-deployed product model.
Top Skills: Ai ToolsAPIs

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account