Develop a state-of-the-art product. Make sense of the future. Use data to drive business.At CB Insights, we deliver predictive intelligence on private companies.
The role you'll play:
Sit at the forefront of innovation, evaluating and designing new datasets and data products to power our clients and enhance our platform. Uncover customer pain points and devise creative solutions.
Your main tasks:- Influence the product roadmap by proposing innovative features and enhancements for monthly releases.
- Conduct customer interviews, gather feedback, and identify pain points to inform new product ideas and enhancements.
- Collaborate with go-to-market and research teams to generate creative ideas for improving our data products.
- Assess new datasets for relevance, quality, and potential impact on our platform.
- Develop new methods and models for scoring technology companies and markets.
- Work with our data science team to design and execute experiments to validate new scoring mechanisms, test models, and refine data offerings.
- Explore novel ways to package and present data insights to clients.
- Team up with product managers, data scientists, researchers, and engineers to design innovative solutions.
- Build frameworks for converting unstructured qualitative content into structured, actionable signals via tagging, categorization, and NLP.
- Partner with research, data ops, and ML teams to prototype new signal pipelines and assess coverage, accuracy, and commercial viability.
- Develop product hypotheses grounded in how alternative data is used by investors, analysts, and corporate development teams to make private market decisions.
What you bring to the table:- 3+ years of experience in product management, data science, data engineering, or related field.
- Prior experience in competitive intelligence, investigative research, or financial data products where the core challenge was inferring conclusions from incomplete or indirect evidence is preferred.
- Familiarity with NLP, text classification, sentiment analysis, or other approaches to extracting signal from unstructured content.
- Background in or strong exposure to private markets, investment banking, venture capital, or growth equity, with a clear understanding of what signals matter to investors tracking pre-IPO, M&A, and funding activity.
- Demonstrated ability to think beyond conventional data products and propose creative, proxy-based approaches to answering hard questions about private companies.
- Experience evaluating third-party data vendors or data acquisition opportunities, including assessing quality, coverage, and licensing implications.
- Proficiency in conducting insightful customer interviews to uncover pain points and gather valuable feedback.
- Ability to think outside the box and propose novel solutions.
- Detail-oriented approach to data analysis and hypothesis testing.
- Rigorous, clear, and compelling thinking demonstrated in how you present, write, and collaborate.
- Familiarity with data tools, databases, and programming languages (SQL, Python, etc).
- Knowledge of Productboard and Figma a plus.
- Bachelor's or master's degree.
- Urgency in the way you operate and contribute to a dynamic work environment.
Please note this is a US-based role.
#LI-Hybrid
Please note this is a US-based role.
In addition to base salary listed below, this role is also eligible for a bonus opportunity.Compensation
$125,000-$160,000 USD
What we offer: - Industry Insight: over 500k+ people follow our tech newsletter: sign up here
- Holistic compensation: Competitive cash compensation, comprehensive healthcare coverage (PPO, HSA, and FSA options), multiple mental health resources, 401(k) with company match, annual professional development stipend, and generous paid time off.
About Our Pay PracticesWe believe in recognizing and rewarding excellence. Our commitment to fairness means that compensation decisions are informed by qualifications, location, internal equity, and current market data. While we aim to hire at our established Hiring Target, starting pay may vary based on factors such as market rates, the qualified pool of candidates, and individual experience.
