Senior Product Manager, Data Strategy

Senior Product Manager, Data Strategy

New York, NY

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.

Corporate strategy, corporate VC, and business development leaders at the world's most innovative companies trust us to see their next move first.

In public markets, leaders have Bloomberg. In private markets — where the future is built — they're flying blind.

Our platform changes that. It surfaces hidden signals about critical market shifts, uses AI agents to build board-ready outputs, and delivers it all into the apps our customers use every day.

The foundation of this system is our data. Non-public and hard-to-get data about private companies, their investors, customers, leaders, and competitors, validated and organized into markets, with proven algorithms that predict future events.

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:

• Bachelor's or master's degree.
• 3+ years of experience in product management, data science, data engineering, or related field.
• Experience working with alternative data used for investment or business intelligence purposes.
• 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.
• 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're all about

CB Insights is the leader in predictive intelligence on private companies—turning exclusive data on millions of firms into early, trusted signals on future performance and direction. The company pioneered predictive intelligence with its Mosaic Score—the first system to reliably forecast the outlook for a private company—and has since built it into a comprehensive platform of AI and data capabilities. Today, leading strategy, investment, and business development teams rely on CB Insights to identify the right companies, markets, and opportunities before their competitors do.

CB Insights Leadership Principles

At CB Insights, everyone is expected to be a leader. These leadership principles are like an operating system for our culture. Use the principles as a practical guide to making decisions. We are what we repeatedly do. By living the principles outlined below, we will build an outstanding company and do insanely great work.

1. Solve customer problems. It's our highest calling. Designing a product? Start from the customer problem it solves. Updating our sales process? Flip it around, and simplify the customer buying process.
2. Think BIG! Start small. Great changes start with a first step. Find it. Take it. Build a system around what works. This is the secret to bringing a vision to life.
3. Go and see with your own eyes. Meet the customer, use the product, talk to the field. Great systems aren't built from afar.
4. Priorities: Choose one. Leaders give the gift of clarity. They find the most important thing and do it. Max power. Top speed.
5. Danger zones:

• Bureaucracy. May the best ideas and execution win.
• Complexity. Leaders use frameworks and systems to simplify.
• No commitment. Leaders don't compromise just to get along. Debate. Disagree. But once a decision is made, commit.
• Leaving what's important unsaid or undone. No "circling back."

• Data informs. Insight transforms. Pull the thread. Ask why. Leaders are curious. They use what they learn to create clarity.
• Insist on excellence. Leaders set high standards and overcome obstacles. They do the kind of work they're excited to share with the world.
• Live off the land. Leaders creatively use resources already available to them – especially AI – to execute and automate their work.
• Good judgment. Leaders have it. Where it comes from: insight, listening, first-hand experience. How to apply it: carefully on big, hard to reverse decisions. Swiftly on limited, easy to reverse ones.
• Help others. Leaders know we're building this together.

You'll want to work here if

• You are excited about how AI is transforming tech
• You are hungry for feedback and the chance to grow
• Your instinct is to work smarter not harder
• You love developing as a SME with a strong POV
• You are motivated by challenges and big ideas
• You believe in personal accountability

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 Practices

We 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.

Equal Opportunity Employer: At CB Insights we know that innovation comes from collaboration, belonging, and diverse perspectives. We're proud to be an equal opportunity employer - all applicants are considered for employment without regard to race, color, religion, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.