Gen AI Delivery Lead — Tech PM for AI Solutions

Dawar Consulting, Inc.; South San Francisco (CA); On-site; USD 138,000 - 152,000; Full time

Benefits offered by this job

Medical

Paid Sick Leave

401 (k)

Job summary

Dawar Consulting, Inc. is seeking a Technical Project Manager to coordinate delivery across engineering teams and external partners for Gen AI initiatives.

The role focuses on turning approved requirements into Jira work, maintaining Confluence docs, and ensuring clear visibility into status, ownership, and decisions. The ideal candidate is organized, technically fluent, and comfortable working with engineering, product, data/AI, platform, security, and vendor teams.

Qualifications

• 3+ years of experience in Technical Project Management or related roles.
• Experience coordinating software delivery across engineering teams and external partners.
• Strong hands-on experience with Jira/Confluence for backlog, dashboards, and traceability.
• Ability to document software architecture, APIs, data flows, cloud services, testing, CI/CD, and Agile processes.

Responsibilities

• Coordinate delivery plans, milestones, dependencies, risks and actions across technical workstreams.
• Partner with directors, PMs, engineering leads, and vendors to track priorities and blockers.
• Create and maintain Jira epics, stories, subtasks, and acceptance criteria from approved requirements.
• Maintain Confluence documentation for technical solutions and processes.
• Support backlog refinement, sprint planning, demos, UAT, release readiness and tracking.

Skills

Technical Project Management

Software Delivery

Cross-functional coordination

Communication

Documentation

Tools

Jira

Confluence

Job description

Dawar Consulting, Inc. is seeking a Technical Project Manager to coordinate delivery across engineering teams and external partners for Gen AI initiatives.

The role focuses on turning approved requirements into Jira work, maintaining Confluence docs, and ensuring clear visibility into status, ownership, and decisions. The ideal candidate is organized, technically fluent, and comfortable working with engineering, product, data/AI, platform, security, and vendor teams.