Avetta Agile Project Manager at Avetta managing AI-Augmented Product Development Lifecycle initiatives. Coordinate cross-functional delivery pods and ensure quality of AI-generated work.
Responsibilities
Pipeline Coordination & Flow Management
Own end-to-end delivery flow for one or more initiatives across Avetta's 5-zone AI-PDLC pipeline — from validated discovery through to production release.
Track initiative progress using the 3 Red Box milestone model (pipeline entry → approved spec → production), with cycle time and throughput as primary delivery metrics.
Coordinate zone-to-zone handoffs, ensuring the right sign-offs are in place before any AI-generated artifact like spec, task breakdown, or code advances downstream.
Facilitate the Spec Agreement gate: the checkpoint where both the Product Manager and Tech Lead confirm intent and approach before AI-assisted coding begins.
Maintain the Gate Decision Log in Confluence for each initiative: what was reviewed, what was decided, and what changed: the audit trail proving human judgment drove every step.
Flag missing or incomplete dependencies (such as the SDAP coding rulebook) early; no AI coding work moves forward without them.
Cross-Pod Dependency Orchestration
Coordinate across 3–5 person delivery pods, acting as the integration point for work spanning multiple teams, domains, or codebases.
Facilitate cross-pod syncs focused on AI pipeline blockers, spec quality issues, and zone-to-zone handoff readiness, replacing traditional Scrum of Scrums.
Own RAID and decision logs at the initiative level, with specific attention to AI pipeline failure modes such as unresolved spec questions and AI output drift.
Partner with Scrum Masters to surface and escalate pod-level blockers before they become pipeline bottlenecks.
Qualification
Use AI productivity tools (GleanChampion the principleExperience3–5 years in Agile deliveryAgile & AI-PDLC Skills
Required
Use AI productivity tools (Glean, Claude, Jira automation/Scriptrunner/Atlassian Intelligence) to reduce manual tracking overhead and surface blockers proactively.
Coach pod teams and stakeholders on AI-PDLC process expectations, HITL (Human-in-the-Loop) gate responsibilities, and how to engage productively with AI agents.
Champion the principle: “The AI generates artifacts; humans own decisions.”
Contribute improvement observations back into the AI-PDLC framework: this is a living system and your insights matter.
Experience
3–5 years in Agile delivery, project management, or program coordination in a SaaS or software environment.
Hands-on experience with cross-functional teams (Product, Engineering, QA, Design).
Background in organizations undergoing Agile or technology transformation; AI-augmented delivery experience is a strong plus.
Agile & AI-PDLC Skills
Solid understanding of Agile/Scrum frameworks with ability to adapt ceremonies to AI-augmented team models.
Familiarity with Spec-Driven Development (SDD) — understanding that input spec quality directly drives AI output quality.
Working knowledge of human-in-the-loop (HITL) gate concepts and the distinction between AI-generated artifacts and human-owned decisions.
