Product Manager, Data Science – Internal Tools

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Onebrief

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Enterprise • Government • SaaS

Onebrief is a platform that enhances and accelerates decision-making, planning, and collaboration, especially within large organizations and governmental bodies. The platform aims to streamline operations and reduce manual processes by offering real-time collaboration, data visualization, specialized workflows, and creative support tooling. Designed by senior planners, Onebrief serves as a hub for users to build plans and products efficiently, with the platform being noted for significantly improving productivity and adaptability. It is used across various networks, including SIPR and JWICS, and is regarded as a transformative tool for organizations such as the National Security Council and the US Army.

2 - 10 employees

🏢 Enterprise

🏛️ Government

☁️ SaaS

💰 $21M Venture Round on 2022-10

📋 Description

• 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

🎯 Requirements

• 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

🏖️ Benefits

• Offers Equity • Additional benefits