Product Manager, Data Science And Internal Tools - Remote Eligible

Data Science And Internal Tools Product Manager

As a Data Science and Internal Tools Product Manager, your primary responsibility will be to shape product bets that empower our internal teams and leverage data to drive insights across Onebrief. You will enable our teams to ship work that matters consistently and at a fast rate.

Starting with opportunities identified with our leadership team, you will refine the problem definition for internal tooling needs and data science initiatives, design high-level solutions, unpack risks and assumptions, and establish hard "no-gos"—all to ensure that projects are executed successfully with virtually no risk to schedule.

This is a critical position, with significant impact. You will work closely with our engineering, product, customer relations, and operations teams to understand their workflows, conduct thorough research to elicit requirements, and translate them into effective internal tools and data-driven solutions that multiply force across the organization.

The ideal candidate is a "product person" who knows how to build software products and understands the power of data. Someone who speaks the language of engineers, data scientists, and business stakeholders, and doesn't rely too heavily on them to devise and evaluate solutions. Someone who is intelligent, charismatic, ambitious, and intellectually honest enough to work with internal users and elicit non-obvious requirements. Someone who writes well and can communicate difficult concepts clearly and objectively to different audiences—from technical data scientists to non-technical operations teams. Finally, someone who is organized and naturally drives projects with the sense of ownership of a startup founder.

We are especially interested in candidates who have led product initiatives working on internal tools, data platforms, analytics systems, or business intelligence solutions. Experience with workflow automation, data visualization, and building tools that improve operational efficiency is highly valued.

What You'll Do:

• Shape internal product initiatives: Define and scope projects that improve internal workflows, build data infrastructure, and enable data-driven decision making across the organization
• Drive data science initiatives: Partner with data scientists and engineers to translate business questions into analytical solutions, build experimentation frameworks, and develop tools that surface insights to stakeholders
• Build internal tools: Lead the development of tools that multiply force for our engineering, product, customer relations, sales, and operations teams—from deployment dashboards to workflow automation
• Enable cross-functional teams: Work closely with teams across Onebrief to understand pain points, prioritize high-impact initiatives, and ensure solutions are adopted and provide measurable value
• Establish data infrastructure: Define requirements for data pipelines, analytics platforms, and reporting systems that enable the company to operate with greater visibility and speed

What We Look For:

• 4+ years building software products, with significant experience in data, analytics, internal tools, or platform products
• Strong technical fluency with data systems, SQL, and analytics tools—you should be comfortable exploring data and validating hypotheses independently
• Experience building internal tools or platforms that improved operational efficiency or enabled data-driven decision making
• Proven ability to work effectively with data scientists, engineers, and business stakeholders, leading with context and seeking pragmatic solutions
• Natural inclination to apply design thinking to problem solving—understanding users (internal stakeholders), challenging assumptions, and creating innovative solutions

Preferred qualifications:

• Experience with experimentation frameworks, A/B testing, or statistical analysis
• Familiarity with data visualization tools (e.g., Tableau, Looker, or custom dashboards)
• Background in operations, business intelligence, or data engineering
• Experience in high-growth B2B/SaaS companies