Senior Product and Project Manager
About this role
About hireworks
hireworks is building a community of top talent in key international markets by unlocking unparalleled access to positions at leading U.S. based companies. As your employer, hireworks will ensure you have a seamless interview, onboarding, and employee experience - providing ongoing support and resources along the way. Established in 2023, hireworks is forging corp-to-corp relationships with leading U.S. based organizations looking to grow their teams with best-in-class talent around the world. Working with hireworks means unlocking access to a network of local peers and mentors and career opportunities through our client network.
About our client
An AI engineering and consulting firm that builds serious, production-grade systems for companies ready to operationalize AI across their business. No gimmicks, no stopping at prototypes: custom AI that integrates directly into operations and drives measurable results.
They automate high-effort workflows, launch AI-powered product lines, and turn complex internal data into structured, usable assets—from custom-trained models and retrieval pipelines to systems that reason across vast datasets, technical documents, and domain-specific logic. Their clients span engineering, defense, financial services, and healthcare.
About the role:
We are seeking a Senior Technical Product Manager to lead the delivery of an enterprise AI knowledge and data platform for a premier engineering client. In this role, you will bridge technical solutioning with hands-on delivery execution: partnering with leadership to scope Statements of Work (SOWs), authoring clear technical requirements, running sprint cadences with backend and AI engineers, and steering core API integrations between our AI platform and external client systems.
What you will own:
• SOW Scoping & Authoring: Partner with practice leadership and client stakeholders to identify upcoming work streams, define scope, and author clear, technically viable SOW drafts. • Delivery & Sprint Execution: Own the delivery lifecycle post-signature. Translate SOW objectives into epics, technical specs, user stories, and strict acceptance criteria while managing day-to-day sprint velocity. • Stakeholder & Scope Governance: Act as the primary technical counterpart for client engineering leads. Navigate scope evolution, govern change requests, and maintain clear delivery roadmaps. • Backend & API Integration Oversight: Steer the interface between core AI knowledge systems and client software platforms, ensuring reliable API contracts, data fidelity, and low-latency query performance. • Delivery Rhythms: Establish delivery visibility, milestones, tracking dashboards, and lightweight agile rituals across the engineering pod.