Information Technology Project Manager

Advanced Software Talent; South San Francisco (CA); On-site; USD 140,000 - 190,000; Full time

Job summary

Advanced Software Talent is seeking a Technical Project Manager in the San Francisco Bay Area to coordinate delivery across internal engineering teams and external partners. You will maintain the delivery plan, write clear Jira stories, and ensure traceability from requirements to testing, while coordinating with the Director of GenAI Applications.

This role requires deep knowledge of software delivery, APIs, cloud services, and cross-functional collaboration.

Qualifications

• 10+ years as Technical Project Manager.
• Experience delivering software with multiple engineering teams and external partners.
• Strong Jira/Confluence skills with documentation and dashboards.
• Clear technical documentation and testable acceptance criteria.
• Understanding of software architecture, APIs, data flows, cloud, testing, release processes.
• Excellent organization, written communication, and follow-through.
• Comfort collaborating with business, product, engineering, data/AI, platform, security, and vendors (global).
• Preferred: enterprise software, AI/ML, distributed systems, cloud platforms.

Responsibilities

• Maintain delivery plan, milestones, dependencies, risks, and decisions.
• Coordinate follow-ups and handoffs across internal teams and external partners.
• Keep priorities and blockers clear with leadership visibility.
• Provide concise status updates from delivery teams to leadership.
• Create and maintain Confluence docs for solutions, architectures, interfaces, dependencies, and processes.
• Translate requirements into Jira stories, subtasks, and testable criteria.
• Keep Jira/Confluence aligned for easy status tracking and ownership.
• Support backlog refinement, planning, demos, release readiness, and acceptance tracking.

Skills

Delivery coordination across multiple

Jira and Confluence skills

Technical documentation & acceptance

Software architecture & APIs

Organization & communication

Cross-functional/global collaboration

Experience with enterprise software/AI

Tools

Jira

Confluence

Job description

Local San Francisco Bay Area candidates only! No 3rd party agencies! Direct W2 only!

Technical Project Manager

Delivery Coordination and Business Systems Analysis

Reports to Director of GenAI Applications

Support the Director of GenAI Applications with day-to-day coordination across internal engineering teams and external partners. The role keeps delivery work organized, documented, and visible so that technical leads can focus on architecture and implementation.

Key responsibilities

• Maintain the delivery plan, milestones, dependencies, actions, risks, and decisions across workstreams.
• Coordinate follow-ups, handoffs, and open items across internal engineering teams and external partners.
• Work closely with the Director of GenAI Applications to keep priorities, ownership, timelines, and blockers clear and documented.
• Work with the Technical Program Manager to provide concise, accurate updates from the delivery teams and elevate issues that need leadership attention.
• Create and maintain Confluence documentation for technical solutions, workflows, architecture decisions, interfaces, dependencies, and operating processes.
• Translate approved requirements and technical discussions into clear Jira stories, subtasks, and testable acceptance criteria with the relevant technical owners.
• Keep Jira and Confluence aligned so that scope, decisions, current status, ownership, and completion evidence are easy to find.
• Support backlog refinement, planning, demos, release readiness, and acceptance tracking; identify gaps early and bring them to the appropriate lead.

Skills required:

10 years plus as Technical Project Manager

• Experience coordinating software delivery across multiple engineering teams and external partners.
• Strong Jira and Confluence skills, including story creation, backlog organization, technical documentation, dashboards, and traceability.
• Ability to write clear technical documentation and testable acceptance criteria.
• Working understanding of software architecture, APIs, data flows, cloud services, environments, testing, and release processes.
• Strong organization, written communication, attention to detail, and follow-through.
• Comfort working across business, product, engineering, data and AI, platform, security, and vendor teams, including global teams and time zones.
• Preferred: experience with enterprise software, AI or machine-learning applications, distributed systems, or cloud platforms.