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.

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.

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.

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.

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.

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.