Note: The job is a remote job and is open to candidates in USA. Prendio operates a procurement and payments platform for biotech companies, generating data about life sciences purchasing and supplier activity. The Product Manager, Data Products will own the strategy, development, commercialization, pricing, and go-to-market of data products, working closely with customers, engineering, analysts, data teams, sales, and marketing. The role will also oversee compliance, data rights, roadmap execution, and revenue generation for these products.
Responsibilities
- Own the data product strategy
- Define what we build, who it is for, and why. Identify which proprietary and non-proprietary data assets carry commercial value and determine how they get packaged into products
- Build the roadmap and sequence it around where we have the best chance to win
- Take products from concept to revenue
- Run discovery with customers to validate what is worth building before we build it
- Own packaging, pricing, and go-to-market in partnership with the business line owner, sales, and marketing
- Prove commercial value. These products are expected to generate measurable revenue, not just usage
- Work close to the data
- Partner with analysts, architects, and engineering to translate opportunities into concrete requirements: datasets, calculations, and functionality
- Prototype your own concepts. We are tool-agnostic there are plenty of ways to do this now but we expect you to be able to stand something up yourself and pressure-test an idea before it goes into the roadmap
- Handle the compliance side of commercializing data
- Understand what we can and cannot do with the data we hold: data rights, privacy, contractual restrictions, and regulatory obligations
- Surface those constraints early and design around them rather than discovering them at launch
- Drive execution
- Project manage delivery with engineering. Keep priorities clear and the work moving
- Own the underlying capabilities your products depend on. Where a data product needs platform, reporting, or infrastructure work to happen first, you drive that to completion with the teams and owners responsible for it
- Bring the customer and commercial context into the room so the team is building the right thing, not just building
- Learn the data. Understand what we hold, where it comes from, and what we are contractually and legally permitted to do with it
- Talk to customers. Run structured discovery on the biotech side to find the problems worth solving
- Inventory the opportunities and rank them by commercial potential and feasibility
- Pick the first bet and build the case for it: the product concept, the packaging, the pricing hypothesis, and the path to market
- Deliver a sequenced roadmap for the first year of data products
Skills
- Demonstrated experience taking data products from concept through commercialization. You have launched products built on data and they made money
- A strategic product thinker who understands the mechanics and the risks of turning data into a commercial product, including the difference between reporting on data and building a product out of it
- A background in the data world earlier in your career analyst, data architect, analytics, or similar that you have grown into a product and strategy role
- Comfortable with SQL and data concepts, and able to engage substantively with analysts, architects, and engineers
- Able to prototype independently. We do not care which tool you use, but we expect a product manager at this level to build enough to validate a concept without waiting on someone else
- Experience in a regulated industry, where commercializing data carries compliance, privacy, and data-rights considerations that have to be understood up front. The mindset matters here more than the specific vertical
- Life sciences, biotech, procurement, or supplier-side experience, from either the buyer side or the supplier side
- B2B SaaS or platform experience
- Experience evaluating and selecting embedded analytics or BI tooling
- Experience pricing and packaging a product that had not been sold before
- Exposure to AI or agentic analytics in a product context
Benefits
- A company discretionary bonus determined by company performance; not guaranteed
- Blue Cross Blue Shield Health Insurance - 100% of employee premiums paid
- BCBS Dental insurance - 100% of employee premiums paid
- VSP Vision Coverage
- Flexible Spending Account Healthcare
- Health savings account with employer contribution
- 401K/Roth 401k
- Paid holidays
- Paid vacation/Unlimited PTO
- A complimentary subscription to the Calm app
- Pet insurance
- Legal assistance
Company Overview