Summary
Nexxa.ai is building artificial super intelligence for heavy industries, enabling autonomous operations across various sectors. They are seeking an experienced Product Manager to work on the NitroOS platform, focusing on making architecture-level product decisions and defining the product roadmap to drive AI adoption in Fortune 100 companies.
Responsibilities
- Own the platform product roadmap — prioritize features, define milestones, and drive from PRD through GA release
- Write detailed PRDs with acceptance criteria, success metrics, and technical constraints, collaborating closely with engineering and design
- Translate customer deployment learnings into platform capabilities — identify patterns across customers and abstract them into reusable platform features
- Define and track product KPIs: adoption, engagement, time-to-value, feature utilization across modules (AI assistant, customer UI, intelligence graph, agent workflows)
- Run feature prioritization, sprint planning and backlog grooming with core engineering, ensuring delivery stays aligned to deliverable milestones
- Partner with the engineering stakeholders on platform architecture decisions — understanding trade-offs between customer-specific customization and platform scalability
- Conduct competitive analysis against industrial AI platforms and inform product positioning
Skills
- 2–4 years of product management experience, with at least 2 years on an enterprise platform product
- Experience building developer platforms, data platforms, or enterprise workflow tools — you understand APIs, integrations, and platform extensibility
- Strong technical fluency — you can read architecture diagrams, discuss data models, and hold your own in engineering design reviews
- Experience with interest in heavy industries (manufacturing, supply chain, energy, logistics) — you're energized by complexity, not intimidated by it
- Track record of shipping products from 0→1, not just iterating on mature products
- Experience with AI/ML products — prompt engineering, agent workflows, RAG systems, LLM-powered features
- Excellent written communication — your PRDs are clear, your roadmaps are crisp, your stakeholder updates are concise
- Comfort with ambiguity — we're a seed-stage company building in a new category. You'll define the playbook, not follow one
- Prior experience at a startup that scaled from seed to Series B+
- Domain expertise in manufacturing operations, supply chain, or industrial engineering
- Familiarity with Confluence, Jira, Figma, and modern product tooling
Qualifications
Must Haves
- 2–4 years of product management experience, with at least 2 years on an enterprise platform product
- Experience building developer platforms, data platforms, or enterprise workflow tools — you understand APIs, integrations, and platform extensibility
- Strong technical fluency — you can read architecture diagrams, discuss data models, and hold your own in engineering design reviews
- Experience with interest in heavy industries (manufacturing, supply chain, energy, logistics) — you're energized by complexity, not intimidated by it
- Track record of shipping products from 0→1, not just iterating on mature products
- Experience with AI/ML products — prompt engineering, agent workflows, RAG systems, LLM-powered features
- Excellent written communication — your PRDs are clear, your roadmaps are crisp, your stakeholder updates are concise
- Comfort with ambiguity — we're a seed-stage company building in a new category. You'll define the playbook, not follow one
Nice to Haves
- Prior experience at a startup that scaled from seed to Series B+
- Domain expertise in manufacturing operations, supply chain, or industrial engineering
- Familiarity with Confluence, Jira, Figma, and modern product tooling
Benefits
- Early-stage equity with real upside.