Product Manager
Platform for Heavy Industries | SF Bay Area
ABOUT NEXXA
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.
THE ROLE
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.
WHAT YOU'LL DO
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
WHAT WE'RE LOOKING FOR
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 HAVE
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
WHY NEXXA
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.
Skills Required
- 2-4 years of product management experience
- Experience building developer or data platforms
- Strong technical fluency
- Experience with AI/ML products
What We Do
Nexxa builds specialized AI for industrial engineering in heavy project industries. Project industries like railroads, energy, construction, mining and others rely on highly educated industrial engineers to function. Today, industrial engineers have to do their work in a fragmented, sometimes outdated technology stack. Nexxa delivers AI agents that understand the technical work and augment the engineer in their most critical, but repetitive work. Our vision is to build an AI system that works with the engineer from scratch and accelerates engineering productivity without any pre-training.
