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3 months ago
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Requirements and responsibilities
About the roleVi's US product team is small, fast, and building from scratch. This role is the delivery backbone. You'll keep a team of Applied AI Engineers shipping on time across healthcare accounts with hard pharma launch dates and regulatory constraints, while initially coordinating delivery across the broader portfolio. You report to Vi's Head of Product. As the team grows, you own the healthcare pod and build your own delivery team. This isn't a TPM seat where you inherit a process—you're designing how Vi delivers.Key ResponsibilitiesKeep Applied AI Engineers shipping on schedule: own sprint cadences, remove blockers, flag risks before they become problemsBe the primary interface between Vi's engineers and client-side technical counterparts (EHR admins, pharmacy system owners, CRM teams, IT/security)Drive delivery planning around real constraints: HIPAA compliance, IRB timelines, FDA reporting requirements, and payer data agreementsManage cross-functional dependencies between Vi's platform team, data team, and engineers deploying at the clientStand up delivery infrastructure from scratch: escalation paths, deployment checklists, go-live runbooks tailored to regulated environmentsOwn all client-facing delivery communication, status, risk, tradeoffs, so engineers stay focused on buildingInitially coordinate delivery across both healthcare and wellness verticals; healthcare becomes your dedicated focus as the team scalesGrowth PathThis role evolves with the team. Near-term, you're the only delivery lead across a flat squad. As Vi scales, you own the healthcare pod, hire your own delivery team, and shape how the function operates. The trajectory: delivery lead → pod lead → delivery manager.What We’re Looking ForMust-Haves5+ years in technical delivery or technical program management in healthcare or life sciences: pharma, health systems, or payer environmentsDirect experience shipping software under regulatory constraints (HIPAA, FDA, IRB, clinical trial timelines)Fluency in how healthcare data moves: EHR/EMR integrations, pharmacy benefit systems, CRM platforms (Salesforce Health Cloud, HubSpot), claims/eligibility feedsComfort operating in an early-stage environment: small team, high ambiguity, no inherited processStrong enough technically to follow architecture discussions, read API specs, and keep engineers honest on timelines and implementation decisionsProven ability to manage multiple concurrent client engagements with competing deadlines, including direct coordination with client-side technical teams (IT, EHR admins, vendor integrations)Nice-to-HavesExperience with AI/ML deployment in production healthcare settings (voice agents, NLP pipelines, predictive models)Background in pharma commercial launch operations or patient services/hub programsFamiliarity with data pipeline tooling (Airflow, dbt, cloud data platforms)Prior experience building a delivery or TPM function from zero
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