Product Manager - Data Engineering

Accountabilities:

• Own and manage a defined data engineering product domain, ensuring delivery of measurable business and customer outcomes.

• Define and execute product strategy and roadmaps aligned with broader organizational and platform goals.

• Collaborate closely with engineering and design teams to discover, prioritize, and deliver scalable data solutions.

• Leverage data insights, experimentation, and user feedback to define success metrics and guide product decisions.

• Apply strong systems thinking to evaluate trade-offs between feasibility, impact, and user value.

• Drive end-to-end product execution, from problem definition through development, launch, and iteration.

• Communicate progress, risks, and strategic decisions clearly to stakeholders across technical and non-technical teams.

• Continuously improve product processes and contribute to evolving product development practices, including AI-enabled workflows.

Requirements:

• Proven experience as a Product Manager in technical environments, ideally focused on data platforms, data engineering, or cloud-based systems.

• Strong understanding of modern software development, APIs, data architecture, and iterative delivery methodologies.

• Experience defining product problems, not just requirements, and delivering outcome-based solutions.

• Ability to work with ambiguity, strong analytical thinking, and data-driven decision-making skills.

• Experience working with metrics frameworks such as OKRs and defining measurable success criteria.

• Excellent communication, influence, and stakeholder management skills across cross-functional teams.

• Familiarity with AI tools, automation technologies, and their application in product development.

• Strong systems thinking and ability to connect technical architecture with business impact.

Benefits:

• Competitive salary ranging from $120,000 to $130,000+ depending on experience

• Fully remote work arrangement within the United States

• Comprehensive medical, dental, and vision insurance

• 401(k) retirement plan with employer match

• Generous paid time off, sick leave, and company holidays

• Paid parental leave and life event support

• Stock option eligibility and bonus programs

• Learning and development programs with internal training resources and AI-powered tools

• Employee assistance programs and wellness initiatives

• Inclusive culture with employee-led resource groups and career growth opportunities

• Flexible work environment with strong focus on professional development and internal mobility.

How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
 Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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