The Role

We’re looking for a Manager, Product Analytics & Data Science to lead and evolve our Product Analytics and Data Science function into a trusted operating partner for Product and Engineering. Reporting to the CFO, this role leads a team of Product Data Analysts and an embedded Data Scientist while remaining close enough to the work to shape analysis quality, support critical product decisions, and guide practical applications of data science across the product organization.

This role is equal parts people leadership, operating model design, product analytics strategy, and practical data science leadership. You’ll help transform the function from a reactive support team into a scalable system for product intelligence — improving experimentation, metric quality, product insights, and decision-making across the business.

You’ll partner closely with Product, Engineering, Analytics Engineering, Data Engineering, and ML/AI teams to build durable practices, clarify ownership, and create a more effective support model for product analytics and data science work.

Location: This is a remote position. You must live and work permanently in the U.S. to be considered.

What You'll Do

• Lead and develop a team of Product Data Analysts and an embedded Data Scientist through coaching, prioritization, and hands-on analytical leadership
• Establish clear expectations and quality standards for product analytics, experimentation, and data science work
• Build scalable operating processes for intake, prioritization, stakeholder communication, and cross-functional collaboration
• Partner with Product and Engineering leaders to support data-informed product strategy and decision-making
• Help teams connect product behavior to activation, adoption, engagement, retention, and customer value
• Guide experimentation strategy and ensure rigorous A/B testing methodologies and actionable interpretation of results
• Improve product metrics and scorecards that measure product health, workflow usage, launch performance, and customer outcomes
• Enable thoughtful self-service analytics through tools such as Metabase, Amplitude, Secoda, and dbt
• Partner cross-functionally with Analytics Engineering, Data Engineering, Engineering, and ML/AI teams to improve ownership clarity and data quality
• Translate complex analysis and data science work into clear, decision-oriented insights for technical and non-technical stakeholders
• Identify practical, high-impact opportunities for predictive modeling, classification, recommendation systems, and AI-enabled product intelligence
• Help stakeholders distinguish between meaningful data science opportunities and lower-value or overly speculative work
• Contribute directly to high-priority analyses, ambiguous product questions, and strategic initiatives when needed
• Protect the team from low-leverage work while creating space for higher-impact analytical and strategic contributions

The Impact You'll Have

At CompanyCam, your work makes a real impact. Whether you're writing code, supporting customers, or designing experiences, your contributions directly shape the product we deliver and the people we serve. We're building something that helps real people solve real problems—and we believe that kind of work is best done by a team that reflects the world around us. In this role, you’ll drive impact by:

• Building a scalable Product Analytics and Data Science function that improves product decision-making across the company
• Helping Product and Engineering teams move faster and make smarter, more customer-centered decisions
• Improving experimentation rigor, product measurement, and visibility into customer behavior and product performance
• Creating practical applications of data science and AI that drive meaningful customer and business outcomes
• Strengthening collaboration and clarity across Product Analytics, Data Engineering, Engineering, and ML/AI teams

What You'll Bring

• 5–8 years of experience in product analytics, data analytics, or data science, including at least 2 years in a people leadership or team lead role
• Experience leading analytics or data science work within SaaS or technology environments
• Strong SQL proficiency and experience working with complex data models and analytical workflows
• Experience with experimentation frameworks, A/B testing, and causal inference methodologies
• Working knowledge of machine learning concepts, predictive modeling, and how data science supports product development
• Experience with modern analytics and semantic layer tooling such as dbt, Metabase, Secoda, Looker, or similar platforms
• Strong communication and stakeholder management skills with the ability to simplify complex concepts for varied audiences
• Experience managing cross-functional projects and balancing competing priorities in fast-moving environments
• A continuous growth-mindset, with a focus on learning, embracing challenges, and continuously improving.
• A knack for creativity and innovation, bringing fresh ideas to the table and solving complex problems.

Benefits & Compensation

This is a salaried position at CompanyCam. Our starting salary range is $160,000-$176,000 per year and is based on experience. We also offer meaningful equity and other benefits.

CompanyCam is an equal-opportunity employer committed to respect, inclusion, and growth. We work hard, take responsibility, and support each other. Great ideas come from all backgrounds, and we carefully consider every applicant without regard to personal characteristics or traits. Even if your work experience doesn’t align perfectly, we encourage you to apply. What really matters to us is your potential, your passion, and your commitment to learning, innovation, and contributing meaningfully to our team.

For any accommodations or technical issues related to the online application or interview process, please email jobs@companycam.com and we’ll respond promptly. Please do not include any medical or health information in your message.

Note: Resumes sent to this email will not be reviewed or responded to. To be considered for a position, you must apply directly through our careers page.