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Senior Product Manager

DataKind · Remote · Fully Remote - can be based anywhere in the U.S. · $113k–$125k

Posted by DataKind on their careers site · View the original posting

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The posting, as DataKind wrote it

DataKind is looking for a Senior Product Manager (Remote - U.S.)!

Location

This is a remote position that can be based anywhere in the U.S. and requires the majority of working hours each day to fall between 8am and 6pm Eastern Time.

This position requires travel across the United States, expected at about 10–20% of working days (roughly 2–4 days per month), mostly on-site at higher education institutions or conferences.

Salary Range

$113,000 - $125,000 annual salary.

Final salary within this range will be based on the candidate’s experience and internal equity with team members in similar roles.

Overview

Reporting to the Director, Product Management, the Senior Product Manager owns product strategy and outcomes for one of DataKind’s strategic domains, such as Education or our open source products. This is a senior individual contributor role. You’ll set direction for your domain, make the calls on priorities and tradeoffs, and be accountable for whether our products deliver for institutions, students, and funders. You’ll work closely with educational institutions, Engineering, Data Science, and Implementation, and you’ll help raise the bar for product practice across the team.

Core Responsibilities

Strategy and Ownership

  • Set the multi-quarter product strategy and roadmap for your domain, and own the tradeoffs: what we build, what we defer, and why. Ground decisions in user evidence, technical dependencies, resourcing, and impact.
  • Lead user discovery with users and teams to ground priorities in evidence.
  • Own product decisions for your domain with minimal oversight. Escalate only portfolio-level or cross-domain conflicts to the Director.
  • Shape product direction with Engineering so architecture choices reflect long-term product vision, scalability, and user needs.
  • Turn the institutional needs and implementation challenges raised by partners into a coherent strategic product direction, not a backlog of requests.

Product Delivery

  • Define what success looks like for each release and partner with the Technical Project Management function.
  • Participate in sprint planning, backlog refinement, and retrospectives to keep the team’s work tied to product priorities.
  • Work with the Project Management owners to set realistic commitments with partners, and lead conversations with partners and stakeholders when scope or priorities need to change.
  • Partner with Design and Engineering to build intuitive experiences for data management and system configuration.
  • Define integration requirements with third-party tools.

Measurement and Impact

  • Define success metrics for your domain, covering adoption, usage, and impact on student outcomes, and use them to drive roadmap decisions.
  • Build reporting that shows value to institutional partners, internal leaders, and funders, including grant reporting.

Leadership and Influence

  • Contribute to portfolio strategy with the Director, Product Management, including cross-product ini

[…]
owering organizations to harness the full potential of data science and AI while putting communities first.

Why Work with DataKind

At DataKind, we believe that people are the most important asset to delivering on our mission. As a people-first remote organization, we offer the following for all our employees:

Flexibility and time off. Enjoy genuine flexibility that goes beyond adjustable hours. We build in shared time off, organization-wide recharge days, bi-weekly meeting-free days, and flexible PTO (with a minimum of 20 vacation days encouraged annually).

Comprehensive Wellness Support. We care for your total wellbeing with 100% employer-paid medical, vision, and dental benefits for employees (72% for dependents), a wellness reimbursement program for the activities and purchases that matter to you, and 12 weeks paid parental leave when you need it most.

A Culture of Growth. Every team member receives professional development funding each year, alongside mentorship and advancement opportunities. We invest in your future with a 401(k) plan with 5% employer matching.

Meaningful Connection. Despite being distributed across time zones, we value being able to come together in person for conferences, strategic planning, and at our annual staff retreat.

Living our Values. DataKind is committed to a diverse, equitable and inclusive work environment in our day-to-day work and via special initiatives driven by our DEI Steering Committee.

DataKind is an Equal Opportunity Employer

DataKind is an equal opportunity employer and strongly encourages candidates from underrepresented groups in tech to apply. DataKind does not discriminate on the basis of race, color, gender, disability, religion, national origin, age, sexual orientation, genetic information, pregnancy, or any other protected category.

Applicants must have a U.S.-based permanent address and currently authorized to work in the United States on a full-time basis indefinitely without employer visa sponsorship.