2-4 years of product management experience, especially with enterprise platforms
Background in building developer or data platforms and enterprise tools
Strong technical understanding, able to discuss architecture and data models
Experience in heavy industries like manufacturing and logistics
History of taking products from concept to launch
Familiarity with AI/ML applications and concepts
Excellent written communication for clear PRDs and roadmaps
Comfortable operating in ambiguous, fast-paced environments.
Responsibilities
Own the product roadmap, prioritizing features and defining milestones
Write detailed PRDs, collaborating with engineering and design
Translate customer insights into reusable platform features
Define and track key product metrics across different modules
Conduct sprint planning and ensure alignment with deliverables
Partner with engineering for architecture decisions, focusing on scalability
Perform competitive analysis of industrial AI platforms.
Benefits
Opportunity to work on groundbreaking AI for heavy industries
Direct collaboration with C-level executives
Backed by leading venture capitalists, offering extensive resources
Equity options with growth potential
Rapid iteration and delivery on product ideas.
Full Job Description
Product Manager
Platform for Heavy Industries | SF Bay Area
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 01, 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
