Technical Program Manager, Enterprise
Leads technical strategy and cross-functional execution for enterprise products and AI workflows, influencing architecture, launch readiness, security, governance, and customer adoption. The role requires strong technical fluency, enterprise software experience, product judgment, and influence across engineering and business functions.
About the job
Responsibilities
- Drive technical strategy and execution for enterprise product and AI workflow initiatives from design through implementation, launch, customer rollout, and iteration.
- Partner with engineering teams to influence architectural direction, interface definitions, and implementation tradeoffs across full-stack products, APIs, integrations, and shared platform systems.
- Translate enterprise customer requirements into product priorities across AI-powered workflows, agent experiences, integrations, permissions, data access, evaluations, identity, security, governance, and deployment readiness.
- Represent enterprise buyers, IT administrators, security teams, business leaders, developers, and end users in product and technical decisions.
- Identify adoption barriers, competitive gaps, and opportunities to improve evaluation, purchasing, deployment, management, and scaling.
- Balance near-term customer needs with long-term platform direction, technical quality, and responsible deployment.
- Coordinate enterprise launch readiness, including security and operational requirements, customer-facing dependencies, escalation paths, and post-launch follow-through.
- Drive alignment across Product, Engineering, Security, Safety, Legal, Design, and GTM through clear ownership, milestones, sequencing, and decision-making.
- Work with enterprise customers, design partners, and customer-facing teams to identify high-value workflows and turn recurring needs into scalable product and platform improvements.
- Define success through measurable improvements in enterprise activation, workflow quality, production readiness, sustained adoption, customer trust, and business impact.
- Improve execution through operating mechanisms, scalable tooling, and data- or AI-assisted workflows.
- Communicate program health, technical risks, recommendations, and tradeoffs to engineering teams and senior leadership.
Requirements
- Strong track record leading complex technical programs across enterprise software, cloud platforms, developer products, or AI systems.
- Strong technical acumen across areas such as full-stack product systems, client technologies, API development, scalable architecture, and enterprise integrations.
- Experience influencing architectural direction and technical decisions.
- Understanding of enterprise requirements including SSO, SCIM, role-based access control, audit logging, data residency, compliance, and administrative controls.
- Understanding of how enterprises evaluate, buy, deploy, and govern software.
- Ability to connect technical architecture, hands-on problem-solving, customer conversations, strategic decisions, implementation details, product direction, and business outcomes.
- Product judgment across modern AI systems, including agents, connectors, tool use, retrieval or context, evaluations, and tradeoffs across reliability, latency, cost, safety, and user experience.
- Sound judgment in ambiguous environments and ability to structure complex work without slowing teams down.
- Clear communication, relationship building, and influence without formal authority.
Nice-to-haves
- Experience leading enterprise software launches involving security, identity, compliance, or deployment readiness.
Compensation and Benefits
- Annual salary range: $257,000–$445,000.
- Hybrid work model with 3 days per week in the office.
- Relocation assistance is available to new employees.
Skills
Enterprise Software, Cloud Platforms, Ai Systems, Full-Stack Systems, API Development, Scalable Architecture, Enterprise Integrations, SSO, SCIM, Role-Based Access Control, Audit Logging, Data Residency, Compliance, Identity Management, AI Agents
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