Forward Deployed AI Product Manager

We’re looking for a Forward Deployed AI Product Manager to lead customer engagements end-to-end — from early discovery through successful deployment. This is a high-impact role at the intersection of product, engineering, and go-to-market, where you’ll act as the connective tissue between customers, Sales, and Engineering.

You’ll own the process of translating complex customer needs into scalable, AI-powered solutions, ensuring every implementation delivers real, measurable value while informing the broader product roadmap.

This is a high-trust, ownership-driven role where you’ll help shape both the product and the customer experience as the company scales.

What you’ll do:

• Lead customer engagements from pre-sales discovery through deployment and adoption


• Design and deliver enterprise-grade AI solutions tailored to customer workflows


• Partner with Sales to scope solutions, guide feasibility discussions, and set clear expectations


• Translate customer needs into clear product requirements and work closely with engineering to bring them to life


• Own onboarding and implementation, ensuring high ROI and strong customer outcomes


• Identify patterns across customer use cases and feed insights into the product roadmap


• Shape new features and capabilities critical to customer success

What we’re looking for:

• 2–5+ years of experience in product, consulting, solutions engineering, or a similar hybrid role


• Strong ability to operate in ambiguous environments and turn complexity into structured solutions


• Technical fluency (APIs, data workflows, systems thinking) with the ability to work closely with engineers


• Excellent communication skills, with the ability to engage both technical and non-technical stakeholders


• High ownership mindset with strong attention to detail and follow-through


• Experience building or deploying AI-driven products is a strong plus

Nice to have:

• Experience in healthcare or working with provider systems


• Familiarity with healthcare data standards (e.g., FHIR, HL7)


• Background in early-stage or fast-scaling SaaS environments