Program Manager

Product Discoverability & Knowledge Architecture

• Lead Modern Doc Migrations: Own the end-to-end migration and architectural overhaul of user-facing documentation from legacy platforms to modern, developer-friendly optimized documentation hubs.
• Engineer Content for AI Agents: Architect and structure all technical documentation to be optimized for semantic search and Retrieval-Augmented Generation (RAG), ensuring internal and external AI agents pull flawless, highly accurate context.
• Optimize In-Product Guides: Redesign product analytics and in-product guide implementation from the ground up to deploy impactful, context-aware, in-product guides and walkthroughs that maximize immediate value and self-service help for users.

PM-Eng Connective Tissue & Agile Delivery

• Overhaul Internal Knowledge Governance: Audit, declutter, and structurally organize internal Confluence space across Product, Design, and Engineering, establishing strict governance, fresh templates, and self-updating best practices.
• Embed & Elevate Teams: Drop directly into engineering and product squads as a hands-on coach to audit and optimize their adherence to agile practices, helping them tighten their SDLC delivery loops.
• Maximize Delivery Efficiency: Champion product delivery infrastructure, ensuring teams maintain an aggressive, highly transparent, and organized feature pipeline.
• Rewrite the Operational Playbook: Proactively hunt down and eliminate legacy, bureaucratic processes. Design lightweight, high-velocity playbooks that keep cross-functional teams executing at "AI speed."
• Drive R&D Culture & Alignment: Own the operational drumbeat of the department by planning, coordinating, and executing high-impact R&D All Hands meetings and leadership offsites that keep teams unified and inspired.

Metrics & Adoption Tracking

• Uncover Performance Insights: Leverage product analytics and internal telemetry to build robust analytical frameworks that track feature adoption, user drop-off points, and overall platform health.
• Translate Data into Strategy: Apply the "5 Whys" methodology to product usage data, digging past surface-level metrics to deliver deep behavioral insights that product managers can immediately turn into actionable feature optimizations.
• Track Delivery Health: Keep a pulse on team delivery velocity and execution health, stepping in to help teams manage risks and raise flags early if a critical launch timeline is jeopardized.

GTM (Go-To-Market) Interface

• Establish a Tactical Rhythm: Build and run a tight, predictable communication rhythm between R&D and Go-To-Market teams (Sales, Customer Success, Product Marketing) to ensure total company alignment on upcoming releases.
• Optimize Customer-Facing Tools: Work cross-functionally to ensure GTM teams can seamlessly leverage customer-facing help tools, making it effortless for support and customer success to unblock users and scale adoption.

R&D Programs & Cross-Functional Delivery

• Manage Complex Dependencies: Drive high-visibility, cross-functional R&D programs, ruthlessly managing complex, cross-team timelines, resource bottlenecks, and technical dependencies.
• Orchestrate Major Launches: Coordinate the operational readiness for big product initiatives, ensuring Product, Design, Engineering, and Ops are completely lockstep as new capabilities transition from early versions to live, enterprise-ready production.
• Own the Outcomes: Bring a high-agency, "get-it-done" mentality to massive initiatives, doing whatever it takes to eliminate administrative drag and steer critical corporate priorities across the finish line.

AI Automation: Cross-Cutting Operating Model

• Across all five pillars, build and maintain lightweight AI automation workflows that eliminate repetitive ops work, from documentation maintenance to status reporting to dependency tracking.

Requirements

• 5+ years of experience managing complex technical programs, software delivery, process design, operationalizing programs, product/engineering operations, or consulting within a fast-paced technology or SaaS environment, ideally B2B.
• Solid experience migrating or managing documentation away from legacy systems.
• Hands-on exposure to collaborative AI tools (Claude, Gemini) and strong curiosity for AI workflow automation platforms (like Gumloop) or semantic search agents (like Atlassian Rovo).
• Solid experience migrating documentation from legacy systems into modern platforms.
• High-agency mindset with extreme accountability for outcomes, asking hard questions early, and operating with a strong bias for action.