INSIGHT GLOBAL - INTERNAL OPPORTUNITY: Join the team at IG HQ in Dunwoody

ABOUT THE HIRING TEAM:

IG Labs (Evergreen Insight Global) is an AI product and services firm building governed by agentic delivery infrastructure. Our product surface spans two distinct domains: internal tooling used by Factory Delivery Engineers and platform operators, and client-facing AI products deployed into enterprise environments. Both demand designs that are precise, purposeful, and built for users who are professionals — not consumers

THE MISSION:

The Product Manager — AI Platform holds the product strategy for one or more Factory platform products or a cluster of Assembly Lines within a vertical. You operate at the intersection of engineering, commercial, and client delivery — owning the roadmap, the pricing input, the go-to-market sequencing, and the cross-team dependency map. You are not a project manager. You set direction, make tradeoffs with explicit confidence levels, and own the outcomes.

REQUIRED:

• 6–10 years of product management experience, with at least 2 years on platform or infrastructure products
• Demonstrated track record of owning a product roadmap from problem framing through production adoption
• Fluency in enterprise AI concepts: agent frameworks, LLM APIs, RAG, governance, policy enforcement
• Strong commercial instincts — able to translate technical capability into pricing and sales motion logic
• Experience working in or alongside professional services, consulting, or staffing firms
• Ability to write precise PRDs and ADRs — not decks with bullets, but documents with logic

Strong Advantage:

• Experience shipping governed or regulated AI products (FinServ, Healthcare, Energy, Government) • Exposure to Rust, OCI containers, MCP, or agent security primitives — enough to be a credible technical partner, not a coder
• Background in supply chain, procurement, AML, or nuclear PMO domains (IG Labs' active verticals)
• Published thought leadership (LinkedIn, papers, conference talks) in AI product or governance
• Experience with prediction markets, quantitative research validation, or independent AI paper reproduction

(HYBRID M-TH on site, WFH Friday)