- Location
- New York, NY, United States · Onsite
- Compensation
- Not stated in this snapshot
- Employment
- Contract
- Experience level
- ENTRY (0–2 years exp)
- Specialization
- Product Manager, Wellfound
- Source
- Wellfound
The role You'll work directly with the Product Manager on the data and AI side of the platform: Ask Bob, customer-facing dashboards, and document collection and digitization. This is not a shadowing internship. You'll own defined workstreams with measurable outcomes and see your work reach enterprise customers.
What you'll do
- Build and maintain evaluation sets for Ask Bob, collect real customer questions, define expected answers, run evals, and report accuracy trends
- QA dashboards against the underlying data warehouse before they reach customers; log and triage defects
- Analyze how customers actually use the product, query the data, find patterns, write short findings
- Research the competitive landscape (access control, workforce platforms, construction analytics) and produce briefs the sales and product teams can use
- Keep product epics current: acceptance criteria, test cases, edge cases, and status
- Sit in on customer and Customer Success calls; document requests and pain points in a structured way
What you'll take away
- End-to-end exposure to how a B2B SaaS + hardware product is scoped, built, tested, and shipped
- Hands-on experience evaluating and improving an LLM-powered product in production
- Direct customer exposure with large general contractors
Who we're looking for Required
- Currently pursuing or recently completed a degree in Computer Science, Data Science, Engineering, or a related quantitative field
- Comfortable with SQL, you can write joins and aggregations against a real schema without hand-holding
- Can read a data model and reason about where a number came from
- Write clearly. Your findings will go to engineers, CS, and leadership, and they need to be short and correct
- Organized enough to run multiple workstreams without being chased
Nice to have
- Exposure to LLM evaluation, prompt engineering, or working with model outputs
- Experience with Python for data analysis
- Familiarity with Jira, or similar tools
- Interest in construction, IoT, or physical world products