Forward Deployed Product Manager, AI Agents

The Opportunity

Join one of the fastest-scaling AI companies in the world, building the next generation of enterprise AI agents for customer experience, contact centres and real-time business operations.

Born from the Stanford AI Lab, this company has raised US$270m+ from leading global investors including a16z, Greylock and Sequoia, with revenue already north of US$100m ARR. The platform is trusted by major global enterprises, and combines AI agents, real-time human agent augmentation and conversation intelligence to drive measurable revenue and efficiency gains.

This is a unique opportunity to join a category-defining AI business as it scales its Forward Deployed Product function globally.

The Role

This is a customer-facing product role for someone who wants to own AI agent outcomes, not just internal roadmaps.

You will work directly with enterprise customers to define use cases, design agent workflows, lead deployment strategy and ensure AI agents deliver measurable business impact. You will partner closely with Forward Deployed Engineers, product, engineering and customer teams to turn ambiguous business problems into production AI systems.

What You’ll Be Doing

• Own AI agent outcomes for enterprise customers, including success metrics, ROI and ongoing optimisation.
• Lead deployment from pre-sales scoping and kickoff through launch and post-go-live improvement.
• Design, test and iterate AI agents in partnership with Forward Deployed Engineers.
• Run customer workshops and design sessions with senior stakeholders.
• Translate business problems into AI workflows, agent behaviours and deployment roadmaps.
• Identify additional automation opportunities that create more value for customers.
• Act as the primary customer-facing owner for AI agent deployments.
• Feed customer requirements into product and engineering roadmaps.
• Improve playbooks for AI agent development, deployment and customer success.

What We’re Looking For

You could come from product management, technology consulting, implementation, customer success, solution strategy, AI delivery or forward deployed product roles.

The ideal profile will bring:

• 5+ years across product, technology consulting, implementations, customer success or similar.
• Experience working closely with technical teams, ideally across AI, automation, LLMs or data products.
• Strong customer-facing experience with senior stakeholders.
• Ability to lead complex deployments in ambiguous environments.
• Strong systems thinking and commercial judgment.
• Bias for action, ownership and measurable customer outcomes.
• Ability to translate customer problems into product requirements and deployment plans.
• Genuine interest in AI agents, automation and the future of customer experience.

Bonus Points

• Experience in product management, conversation design or forward deployed roles.
• Exposure to AI agents, LLM products, conversational AI or automation platforms.
• Experience in customer support, contact centre or customer experience technology.
• Startup or high-growth SaaS experience.
• Experience owning senior enterprise customer relationships.

Why This Role Is Compelling

Most AI companies are still selling hype. This company is already deploying AI into live enterprise environments.

You will be joining a business with:

• US$270m+ raised
• Backing from a16z, Greylock and Sequoia
• Revenue already north of US$100m ARR
• Major enterprise customers live on the platform
• Leadership with deep AI pedigree, including executives who helped build Google Contact Center AI and Vertex AI
• A clear enterprise AI use case with urgent customer demand
• A fast-scaling Forward Deployed Product and Engineering function

This is ideal for someone who wants the scope of product management, the pace of a startup and the impact of working directly with major enterprise customers.

Location

United States, remote.

Best Fit For

This role is ideal for someone who wants to own the customer-facing product strategy for AI agents.

You may be a strong fit if you are:

• A product manager who wants to be closer to customers and real-world AI deployment.
• A deployment strategist who wants more product ownership.
• A technical consultant who wants to move into a high-growth AI product company.
• A customer success or implementation leader who has worked closely with product and engineering.
• A product-minded operator who can turn ambiguity into execution.



If you want to help major enterprises deploy AI agents that actually get used, measured and improved, this is one of the strongest opportunities in market.