Product Manager - Data Engineering (Remote - US)

DescriptionThis position is posted by Jobgether on behalf of a partner company. We are currently looking for a Product Manager - Data Engineering in the United States.In this role, you will lead the strategy and execution of data engineering initiatives that power enterprise tools and drive data-driven decision-making across the organization. You will collaborate closely with data engineers, product managers, and business stakeholders to optimize data pipelines, enhance data warehouses, and improve data accessibility. Your work will directly impact the efficiency of business operations and the quality of insights available to teams, enabling smarter decisions and accelerated growth. This is a fast-paced, high-energy environment that values innovation, cross-functional collaboration, and measurable impact on business outcomes. Accountabilities·         Own and evolve the data engineering product roadmap aligned with organizational objectives.·         Lead the development and optimization of scalable data pipelines and warehouse solutions.·         Improve the data consumer experience by applying product thinking and gathering stakeholder feedback.·         Collaborate with cross-functional teams to prioritize initiatives, manage backlogs, and ensure high-impact deliverables.·         Facilitate agile ceremonies, track progress, and manage sprint execution.·         Stay informed of trends in data engineering, governance, and AI-driven practices to inform product strategy.·         Use KPIs and OKRs to measure success, guide trade-off decisions, and communicate results to stakeholders. Requirements·         3+ years of product management experience in technical domains such as platform engineering or developer tooling.·         Hands-on experience with big data technologies such as Redshift, BigQuery, Hive, Kafka, and Airflow.·         Strong understanding of data infrastructure, orchestration frameworks, and data streaming technologies.·         Proven ability to prioritize backlogs, write clear user stories, and translate business needs into actionable technical initiatives.·         Familiarity with Agile/Scrum methodologies and tools like Jira, Rally, or Trello.·         Excellent communication, collaboration, and stakeholder management skills.·         Ability to work in a fast-paced, dynamic environment with ambiguity and competing priorities.·         Experience leveraging AI tools to enhance product management and data engineering workflows.Preferred Skills:·         Experience leading product strategy for data engineering initiatives integrated with enterprise platforms such as Salesforce, Marketo, or ServiceNow.·         Familiarity with modern data governance practices and enterprise analytics workflows.·         Comfort navigating hybrid- or remote-work environments and distributed teams. Benefits·         Competitive salary range: $112,000 to $139,000 or more, depending on experience.·         Non-commissioned bonus plans or variable commission.·         401(k) plan with employer match.·         Comprehensive healthcare coverage: medical, dental, and vision insurance.·         Paid time off, flexible vacation, sick leave, and extended leave for life events.·         Career development programs, stock option eligibility, and professional growth opportunities.·         Employee assistance programs and employee-led resource groups.·         Supportive, inclusive, and collaborative work environment. Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly. 🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements. 📊 It compares your profile to the job’s core requirements and past success factors to determine your match score. 🎯 Based on this analysis, we automatically shortlist the three candidates with the highest match to the role. 🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role. Once the shortlist is complete, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team.Thank you for your interest! #LI-CL1