Technical Program Manager

Job description

**Core Expectations** **AI & Agentic AI in program management** - **Build agentic workflows:** stand up AI agents wired into Jira, Slack and BI to collect status, chase updates and maintain tracker hygiene. - **Agentic reporting:** move updates, exec summaries and review decks from manual assembly to agent-generated drafts you review and sharpen. - **Risk prediction:** use AI on velocity, ageing, blocker and dependency signals to flag at-risk milestones before they slip. - **Planning support:** apply AI to backlog grooming, requirement gaps, estimation sanity-checks and dependency mapping. - **Human-in-the-loop governance:** define where agents act autonomously vs. need review; own accuracy and auditability of AI outputs. - **Drive adoption:** pilot agent frameworks and MCP/API integrations, scale what works across the PMO, and track hours saved. **Roadmap end to end** - Own the full cycle: intake priority conclusion capacity planning cutline concluded, published roadmap. - **Priority conclusion:** drive structured prioritisation with Product, Engineering and Business to a documented decision. - **Capacity planning:** build a realistic capacity view by team and skill - leaves, hiring ramp, KTLO/BAU load, buffer. - **Cutline:** match demand to capacity, draw a defensible line, and communicate what's committed vs. deferred. - **Conclude & hold:** lock and publish the roadmap with owners, milestones and dependencies; manage change control against it. **Planning & delivery end to end** - Own delivery with full accountability for timeline, scope and quality - from scoping to release. - Build bottom-up execution plans: work breakdown, estimates, sequencing, critical path, dependencies. - Own milestone gates (PRD signoff, Tech design, Dev Done, QA Signoff, Release), sprint rigour and backlog readiness. - Mitigate risks, dependencies and bottlenecks early, and escalate decisively. - **Stakeholder management:** align Product, Engineering, QA, Design, Business and leadership; drive decisions without direct authority. - **Executive dashboards & reporting:** own dashboards (Jira/Sheets/BI) and prepare leadership decks with insights, risks and asks - not raw status. - Improve delivery KPIs (Say-Do ratio, velocity, cycle time, release predictability) and run the delivery cadence. **What We're Looking For** - 3–8 years in Program Management / Delivery Management / TPM roles in product or tech-driven teams. - **Hands-on roadmap ownership (must-have):** you have personally run prioritisation, capacity planning, cutline calls and roadmap conclusion. - **Proven end-to-end planning:** owned deliverables from scoping to release and been accountable for the dates. - **Real, hands-on use of AI:** concrete examples of workflows you have automated; agentic AI exposure is a strong plus. - Strong grasp of Agile/Scrum and the product development lifecycle; hands-on with Jira, dashboards and delivery metrics. - **Strong stakeholder management and executive communication:** able to influence senior stakeholders and present reports that land with leadership. - **Basic technical understanding:** comfortable with technology fundamentals and the startup ecosystem; can follow architecture, API and release discussions. - Strong analytical and problem-solving skills; comfortable driving clarity in ambiguity. **Good to Have** - Quarterly/annual planning for a multi-pod engineering org, or a PMO built from scratch. - Low-code automation (Apps Script, Jira automation, n8n) and prior high-growth startup experience.