Note: The job is a remote job and is open to candidates in USA. Patra Corporation is an outcome-focused operating partner serving the insurance industry through expert teams, process intelligence, and purpose-built technology. The Technical AI Project Manager will lead AI Development Lifecycle and Human-in-the-Loop delivery, establish governance and oversight practices, and manage end-to-end program delivery. The role partners with Product and Engineering to improve delivery models, operationalize metrics, administer Jira and Confluence, and ensure auditability, quality, and scalable agent-augmented development.
Responsibilities
- Lead adoption of the AI Development Lifecycle and HITL delivery, and develop governance, policy, and tooling to ensure scalable, auditable human oversight of agent‑augmented work. Keep current with rapid advancements in software development to drive continuous improvements in the AI-DLC
- In partnership with Product and Engineering, drive development delivery outcomes, compliance, auditability, and the integrity of human oversight and governance for agent‑contributed work
- Coach HITL leads and stakeholders, develop policy and governance artifacts, align cross‑functional engagement models, and translate delivery metrics into actionable guidance to scale repeatable, auditable hybrid human‑agent delivery
- Strategic direction — drive roadmap execution for AI‑DLC and HITL adoption across teams and client engagements
- Outcomes accountability — ensure and track client outcomes from engineering projects. Projects are primarily agentic and require AI fluency to manage
- Governance & policy — contribute and enforce HITL governance, review standards, audit cadence, and compliance requirements
- People leadership & coaching — mentor engineers, product owners, and cross‑functional stakeholders on hybrid delivery practices and responsible AI use
- Stakeholder alignment — coordinate with Sales, Client Success, Security, and Finance to align delivery with commercial and risk objectives
- Performance measurement — set KPI framework (DORA/SPACE adapted for HITL), establish targets, and translate metrics into executive narratives
- Vendor & partner oversight — set briefs, success metrics, and quality standards for external partners and managed services
- Program delivery management — plan, prioritize, and oversee end‑to‑end delivery across teams, managing scope, schedule, risks, and dependencies. Data driven reporting is an essential foundation
- Tooling ownership — administer Jira and Confluence configurations, automation rules, templates, and data hygiene to reflect HITL workflows
- Quality assurance & incident response — monitor change failure rate, MTTR, and remediation actions; ensure human oversight on agent‑contributed work
- Automation & scale — design and implement automation to reduce manual review where safe, and scale repeatable delivery motions
- Reporting & dashboards — produce weekly/monthly dashboards (deployments, lead time, human review pass rate, audit status) for teams and leadership
- Audit & compliance execution — run audits, document findings, and implement remediation to maintain traceability and regulatory readiness
Skills
- • 8+ years of project or program management experience within a software development organization including experience in distributed engineering, data science, and operations
- • First-hand experience setting up and managing agentic development processes in a commercial setting with Claude Code or Codex, with the resulting code working in production
- • Demonstrated project experience with LLM/agentic systems delivered to production
- • Proven experience coaching and leading teams through process or structural transitions
- • Daily practical fluency with LLM tools (Claude, Gemini, ChatGPT, or equivalent) and ability to teach others
- • Hands‑on Jira administration: workflows, automation, dashboards, advanced roadmaps
- • Confluence administration: space architecture, templates, permissions, and content governance
- • Working knowledge of DORA metrics and the SPACE framework and experience operationalizing outcomes‑based KPIs
- • Comfort with HITL models and environments where AI agents contribute under human oversight
- • Strong facilitation, communication, and stakeholder management skills
- • Demonstrated audit experience with regulatory bodies (ISO or equivalent)
- • Familiarity with engineering intelligence platforms (Jellyfish, LinearB, Waydev, Faros.ai)
- • Experience in regulated industries (insurance, financial services)
- • Hands‑on experience with GitHub/GitLab or complementary developer tooling
- • Background working with managed services or external delivery partners
- • Practical experience in prompt engineering and LLM workflow design
Company Overview