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HubSpot

Senior Product Manager, Data and Insights

Posted 2 Days Ago
Remote
Hiring Remotely in USA
158K-253K Annually
Senior level
Remote
Hiring Remotely in USA
158K-253K Annually
Senior level
The Senior Product Manager will lead the development of HubSpot's usage data platform, ensuring reliable analytics, defining product vision, and collaborating across teams.
The summary above was generated by AI
POS-15751Role Summary

Our mission at HubSpot is to help millions of organizations grow better.

Product usage data informs critical decisions across HubSpot, powering initiatives like AI-driven engagement, experimentation, activation metrics, and financial reporting. Hundreds of teams across every HubSpot product rely on high-quality event data to understand customer behavior, measure outcomes, and guide product and business strategy.

As a Senior Product Manager on the Customer Journey Engage Product Group, you’ll shape the future of HubSpot’s usage data platform. You’ll define how teams instrument, discover, govern, and operationalize usage data, enabling reliable analytics, experimentation, and AI-powered insights. This role sits at the intersection of platform infrastructure, analytics, and product strategy — helping teams across HubSpot make better decisions and deliver more value to customers.

What You’ll Do
  1. Own the product vision and roadmap for HubSpot’s usage data platform, shaping how teams instrument, discover, and operationalize product usage data.

  2. Define and evolve the systems that power HubSpot’s event pipeline and analytics infrastructure, ensuring data is reliable, governed, trustworthy, and scalable across hundreds of teams.

  3. Treat data as a product by establishing clear data models, instrumentation standards, and lifecycle governance that enable trustworthy analytics, experimentation, and AI-driven applications.

  4. Partner with Engineering, Analytics, Product Operations, Machine Learning, and Design teams to build tools that power HubSpot’s analytics ecosystem, experimentation platform, recommendation systems, and engagement initiatives.

  5. Improve how internal teams explore and operationalize usage insights by enabling clearer metrics, streamlined workflows, and self-service analysis without sacrificing governance or data quality.

  6. Lead complex platform initiatives from concept through implementation and adoption, balancing technical constraints with product and business outcomes.

  7. Serve as a subject matter expert on product usage data, helping teams understand how instrumentation, experimentation, and analytics systems work together to drive customer outcomes.

  8. Align diverse stakeholders across the company, driving progress in ambiguous environments and delivering initiatives with clarity and speed.

What You’ll BringRequired Qualifications
  • Experience building or owning platform, data, or analytics products that serve internal teams or developers.

  • Strong systems thinking with the ability to understand how data pipelines, instrumentation, analytics tooling, and downstream applications interact.

  • Experience partnering closely with engineering and analytics teams to define scalable solutions to complex technical challenges.

  • Ability to balance governance, consistency, and data quality with usability, flexibility, and self-service capabilities for internal users.

  • Strong product judgment and the ability to make tradeoffs across technical, business, and user considerations.

  • Experience leading initiatives across diverse stakeholders and driving alignment in ambiguous environments.

  • Excellent communication and collaboration skills, with the ability to translate complex technical systems into clear product direction.

  • Comfort making decisions, testing assumptions, and iterating quickly in fast-paced environments.

  • Experience working with product analytics platforms (e.g., Amplitude, Mixpanel, Pendo) and querying datasets using SQL to inform product decisions.

  • Strong empathy for internal users and the ability to balance multiple personas when designing platform products.

Nice-to-Have Qualifications
  • Experience building experimentation platforms, recommendation systems, or AI-ready data platforms.

  • Experience designing event instrumentation frameworks or analytics governance models.

  • Experience working with large-scale data infrastructure or data platforms in SaaS environments.

  • Familiarity with machine learning pipelines or data systems supporting AI-driven products.

Where You’ll Work
  • Location: Remote, USA

  • Work location preference eligibility: Remote 

  • Travel/Shift: Minimal travel required

Pay & Benefits

The cash compensation below includes base salary, on-target commission for employees in eligible roles, and annual bonus targets under HubSpot’s bonus plan for eligible roles. In addition to cash compensation, some roles are eligible to participate in HubSpot’s equity plan to receive restricted stock units (RSUs). Some roles may also be eligible for overtime pay. Individual compensation packages are tailored to your skills, experience, qualifications, and other job-related reasons.

This resource will help guide how we recommend thinking about the range you see. Learn more about HubSpot’s compensation philosophy.

Benefits are also an important piece of your total compensation package. Explore the benefits and perks HubSpot offers to help employees grow better.

At HubSpot, fair compensation practices aren’t just about checking off the box for legal compliance. It’s about living out our value of transparency with our employees, candidates, and community.

Annual Cash Compensation Range:
$158,100$253,000 USD

We know the confidence gap and impostor syndrome can get in the way of meeting spectacular candidates, so please don’t hesitate to apply — we’d love to hear from you.

If you need accommodations or assistance due to a disability, please reach out to us using this form.

At HubSpot, we value both flexibility and connection. Whether you’re a Remote employee or work from the Office, we want you to start your journey here by building strong connections with your team and peers. If you are joining our Engineering team, you will be required to attend a regional HubSpot office for in-person onboarding. If you join our broader Product team, you’ll also attend other in-person events, such as your Product Group Summit and other gatherings, to continue building on those connections.

If you require an accommodation due to travel limitations or other reasons, please inform your recruiter during the hiring process. We are committed to supporting candidates who may need alternative arrangements

Massachusetts Applicants: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Germany Applicants: (m/f/d) - link to HubSpot's Career Diversity page here.

India Applicants: link to HubSpot India's equal opportunity policy here.

About HubSpot

HubSpot (NYSE: HUBS) is an AI-powered customer platform with all the software, integrations, and resources customers need to connect marketing, sales, and service. HubSpot's connected platform enables businesses to grow faster by focusing on what matters most: customers. 

At HubSpot, bold is our baseline. Our employees around the globe move fast, stay customer-obsessed, and win together. Our culture is grounded in four commitments: Solve for the Customer, Be Bold, Learn Fast, Align, Adapt & Go!, and Deliver with HEART. These commitments shape how we work, lead, and grow.

We’re building a company where people can do their best work. We focus on brilliant work, not badge swipes. By combining clarity, ownership, and trust, we create space for big thinking and meaningful progress. And we know that when our employees grow, our customers do too.

Recognized globally for our award-winning culture by Comparably, Glassdoor, Fortune, and more, HubSpot is headquartered in Cambridge, MA, with employees and offices around the world.

Explore more:

  • HubSpot Careers
  • Life at HubSpot on Instagram

HubSpot may use AI to help screen or assess candidates, but all hiring decisions are always human. More information can be found here. By submitting your application, you agree that HubSpot may collect your personal data for recruiting, global organization planning, and related purposes. Refer to HubSpot's Recruiting Privacy Notice for details on data processing and your rights.

Top Skills

AI
Amplitude
Machine Learning
Mixpanel
Pendo
SQL

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