Project Manager

About The Role

We are seeking a PM to turn ambitious customer deployments into shipped, adopted systems. In this role, you will lead day-to-day technical delivery for complex engagements: translating business outcomes into technical plans, coordinating internal Forward Deployed Engineers (FDEs), Product, and customer teams, and carrying solutions from prototype through production adoption. This role will report to the Steering Committee (C-level) and partner closely with Forward Deployed Engineering, Product, and customer stakeholders.

Responsibilities

• Own technical delivery plans for customer workstreams, translating business objectives into milestones, dependencies, acceptance criteria, and operating rhythms.
• Run day-to-day execution across our internal and customer teams, keeping work sequenced, risks visible, blockers resolved, and critical paths protected.
• Embed with customers to map workflows, shape requirements, align technical plans to success criteria, and ensure solutions are adopted in production.
• Partner with FDEs, product, customer engineers, and customer technical teams to move prototypes through MVP, production readiness, launch, and scale.
• Make pragmatic tradeoffs on scope, sequencing, resourcing, and quality while maintaining trust with technical and executive stakeholders.
• Own value cases and impact measurement, including hypotheses, baselines, KPIs, adoption tracking, and readouts to sponsors.
• Codify reusable delivery patterns, implementation playbooks, evals, and field insights that improve future deployments and inform product roadmap priorities.

Requirements

• 10+ years of customer-facing technical delivery — Project Manager, Solutions Manager, Deployment Lead, or Implementation Leader who owned outcomes end-to-end, not just tracked them.
• Proven ability to lead and coordinate cross-functional technical teams: setting direction, assigning workstreams, unblocking engineers, and building the trust that makes a team perform under pressure.
• Proven track record leading AI or enterprise software implementations from kickoff to production in enterprise environments.
• Working technical fluency in AI/ML: agent architectures, LLMs, data pipelines — enough to push back credibly in a senior engineering conversation.
• Strong project management fundamentals: scoping, risk management, stakeholder communication, executive reporting.
• Strong communicator across all levels, can adapt style fluidly — from executive risk framing to deep technical trade-off discussions