Product Manager
nexxa
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Job summary
Nexxa.ai is building an AI operating system for heavy industries. We’re seeking a Product Manager to shape the NitroOS platform, guiding architecture-level decisions and prioritizing features for Fortune 100 deployments.
You’ll translate customer learnings into scalable platform capabilities, define KPIs, and own the product roadmap from discovery to GA release in a seed-stage environment.
Qualifications
- 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.
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
Tools
Job description
Platform for Heavy Industries | SF Bay Area
Nexxa.ai is building artificial super intelligence for heavy industries — enabling machines, systems and operations to think, decide and act autonomously across manufacturing, large-scale infrastructure, logistics and legacy environments. Our mission is to translate deep technical breakthroughs into operational reality, solving some of the hardest systems-level problems in industry.
We're looking for a rock-start enterprise software experienced Product Manager to work on the NitroOS platform. You'll work at the intersection of AI, heavy industries and business operations to define what we build, how it evolves, and how it scales aligned to the vision. This is not a feature factory role. You'll be making architecture-level product decisions that shape how Fortune 100 companies adopt AI in their operations.
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
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
Build the AI operating system for industry — not another chatbot, not another dashboard, but the intelligence layer that changes how Fortune 100 companies run their operations
Work directly with the CPO and CTO — your ideas will ship in weeks, not quarters
Backed by silicon valley top VCs with access to their portfolio network, recruiting, and GTM resources
Early‑stage equity with real upside.
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