Senior Product Manager, Data

Posted 8 Days Ago
Easy Apply
New York, NY
In-Office
150K-175K Annually
Senior level
Big Data • Information Technology • Machine Learning • Software • Business Intelligence
We have 5 cultural tenets: Hard Work, High Standards, Hunger, Humility and Helpfulness.
The Role
The Senior Product Manager, Data will drive the product strategy for datasets and predictive features, engage cross-functional teams, validate data opportunities, and enhance product impact through customer feedback and operational improvements.
Summary Generated by Built In
Why this role matters

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.

We’re looking for a world-class product leader to help scale it.

Your impact

As Senior Product Manager, Data, you will own key datasets and predictive algorithms within our portfolio. You will lead initiatives to discover and add new data products, or improve the coverage, quality, and predictive power of existing ones.

You will:

  • Drive the product strategy and roadmap for datasets and predictive features you own.
  • Discover and validate new data opportunities using market research, customer discovery, and competitive analysis.
  • Lead cross-functional squads across data operations, data science, product design, engineering, and research.
  • Work with data science to define and build models that power internal-facing operations and customer-facing predictions.
  • Work with data operations to develop scalable strategies to acquire data across direct contribution, AI-driven extraction, and partnerships.
  • Work with product marketing and go-to-market stakeholders to position data products, ensure alignment with customer needs, and communicate their value clearly.
What you bring
  • Private markets fluency: You have firsthand experience sourcing companies or conducting diligence. You understand how data is used in investment, acquisition, or partnership workflows.
  • Operational rigor: You think in systems. You have proven experience improving data quality, coverage, or operational processes at scale. 
  • Track record of product impact: You’ve conceived and launched new data products, features, or datasets that delivered revenue impact.
  • Customer obsession: You uncover the jobs to be done behind complex workflows. You’ve sat with customers and seen how decisions get made in the real world.
  • Technical acumen: You are a credible partner to engineering and data science. You understand how models are built, trained, validated, and shipped.
  • Builder’s bias: You move fast, work iteratively, and ship before things are perfect. You thrive in ambiguity. You think big, but start small.
  • Clear communication: You create energy and context for the people around you. You’re a compelling storyteller.
  • Hands-on approach: You dive into the data, sweat the details, and debug side-by-side with your team. You go and see with your own eyes.

Key Competencies:

  • At least 5 years of product management experience, and professional experience in a big data environment. 
  • Prior experience in a product or analytical role connected to data science  
  • Excellent at data analysis; highly proficient with SQL
  • An understanding of artificial intelligence concepts including machine learning and natural language processing
  • Deep user empathy with tools for continuous discovery
  • Rigorous decision quality. Ruthlessly prioritizes opportunities for commercial value. Structured, deductive, and quantitative thinker.
  • Experience defining and realizing developer and user engagement product strategies with clear metrics
  • Entrepreneurial. Has shipped products from ideation through delivery while in rapid growth mode. Strong bias to execution.
  • Effective and compelling communicator, proven with customers and executives
  • Sought after cross-functional partner

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
$150,000$175,000 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.”
  6. Data informs. Insight transforms.  Pull the thread. Ask why. Leaders are curious. They use what they learn to create clarity.
  7. Insist on excellence. Leaders set high standards and overcome obstacles. They do the kind of work they’re excited to share with the world.
  8. Live off the land. Leaders creatively use resources already available to them – especially AI – to execute and automate their work. 
  9. 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.
  10. 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 radical personal accountability 

You don’t want to work here if: 

  • You are a tech pessimist 
  • Radical Candor is not your style 
  • You like to build big processes 
  • You stay @ the 30,000 foot view instead of digging into the details 
  • You prefer to operate in your comfort zone 
  • You expect to be judged by outputs instead of outcomes 

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.

Top Skills

Artificial Intelligence
Machine Learning
Natural Language Processing
SQL
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The Company
HQ: New York, NY
380 Employees
Year Founded: 2009

What We Do

CB Insights fuses machine learning, algorithms, data and visualizations together to help large enterprises ask, answer and articulate compelling answers to difficult questions - about growth, about competition and about the markets and technologies of the future.

Why Work With Us

It's quite simple: the people, product and personality. CB Insights team is one where the brains are big and egos are small. We have an industry standard product loved by customers and we've taken data and analytics to predict tech trends and made it conversational and interesting.

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