Product Manager - AI and Data Products

Stratus

12h • Remote

About The Position

Stratus is hiring a Product Manager to build our AI and data-driven products. This is a hands-on individual contributor role. You will own initiatives end to end, write the specs, sit shoulder to shoulder with engineering, and ship. You are a doer, not a manager of doers. Your focus is taking large, messy construction data sets and turning them into commercial products and durable data advantages. That means agentic AI and LLM-powered workflows, productized data, and features that get better as more customers use them. You will work directly with engineering, design partners, and the executive team. We care less about a candidate who can recite a process and more about one who knows how to make good calls when the path is not obvious. If you can listen well, write clearly, prioritize honestly, and ship work that customers actually adopt, you will do well here.

Requirements

• SaaS scale-up experience. Five-plus years in product management, including time at a B2B SaaS scale up.
• Agentic AI and LLM experience. You have built or shipped products using LLMs or agentic AI, and you understand the practical realities of working with these tools in production.
• Data productization background. A track record of turning big data sets into commercial products. You have taken raw or messy data and made it into something customers pay for or rely on, and you understand how data advantages are built and defended.
• A shipping track record. B2B SaaS features you took to market that measurably moved adoption, revenue, or retention. You can talk through the metric, the move, and what you would do differently.
• Technical depth. Comfort with data models, data pipelines, workflow software, integrations, and the engineering conversations that go with them.
• Strong communication. Tight specs, concrete customer stories, short and decision-oriented updates.
• Mid to senior level.

Nice To Haves

• MEP, AEC, or construction technology background is a plus, not a requirement.
• Experience building data moats or network-effect data products.
• Exposure to BIM tooling, ERP or accounting integrations, or other construction and industrial data sources.
• Experience standing up evals, retrieval pipelines, or model-backed features in a production product.

Responsibilities

• AI and data product initiatives end to end, from problem definition through spec, build, launch, and measurement, tied explicitly to ARR growth, retention, and adoption.
• Agentic AI and LLM-powered features, from concept to shipped product, with a clear point of view on where the technology creates real value and where it does not.
• Data productization. You turn large construction data sets into commercial products and build data advantages that compound as adoption grows.
• Crisp specs and PRDs that engineering can execute without rework, plus the day-to-day partnership with engineering to get them built.
• A working feedback loop with design partners, converting qualitative and usage signal into product decisions.
• Launch and adoption. You partner with PMM, sales, and CS so features land with customers, not just in the release notes.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed