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DataKind

Volunteered data scientists for nonprofit projects

Senior Product Manager

Product ManagementConfirmed live in the last 24 hours
Full-timeRemote in USA

About the Job

Requirements

  • Deep alignment with DataKind's mission and values, with demonstrated commitment to educational equity and data-driven social impact.
  • At least 6 years of product management experience using Agile methodologies, including end-to-end ownership of an enterprise software product line or domain from discovery through launch and scale.
  • At least 2 years of experience with data infrastructure, backend systems, or B2B SaaS platforms, and a solid grasp of data ingestion, extract-transform-load (ETL), cloud storage, and application programming interface (API) design.
  • Experience in the educational technology or open-source space.
  • Working proficiency with SQL and Git workflows.
  • A track record of independently setting product strategy and roadmaps and making scope and sequencing decisions under ambiguity.
  • Experience influencing senior stakeholders and aligning cross-functional teams without direct authority.
  • Experience representing a product to external audiences such as partners, customers, or funders.
  • Experience mentoring other product managers or improving a team's product practices.
  • A track record of translating requirements from complex, multi-stakeholder environments into clear specifications and explaining technical concepts to non-technical audiences.
  • Experience using metrics to drive product decisions and demonstrate impact.

Responsibilities

  • Set the multi-quarter product strategy and roadmap for the assigned domain and own decisions about what to build or defer, grounding choices in user evidence, technical dependencies, resourcing, and impact.
  • Lead user discovery with users and teams to ground priorities in evidence.
  • Own product decisions for the domain with minimal oversight and escalate 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 institutional needs and partner implementation challenges into a coherent strategic product direction rather than a backlog of requests.
  • Define success criteria for each release and partner with the Technical Project Management function.
  • Participate in sprint planning, backlog refinement, and retrospectives to keep team work tied to product priorities.
  • Work with Project Management owners to set realistic commitments with partners and lead discussions with partners and stakeholders when scope or priorities change.
  • Partner with Design and Engineering to build intuitive data-management and system-configuration experiences.
  • Define integration requirements with third-party tools.
  • Define domain success metrics covering adoption, usage, and impact on student outcomes, and use them to drive roadmap decisions.
  • Build reporting that demonstrates value to institutional partners, internal leaders, and funders, including grant reporting.
  • Contribute to portfolio strategy with the Director of Product Management, including cross-product initiatives and investment decisions.
  • Represent the domain to donors, funders, and partner leadership by presenting progress, impact, and roadmap.
  • Align Data Science, Engineering, Implementation, and Program teams around shared priorities and resolve competing requests among them.
  • Coach and mentor peers, and lead improvements to product-team discovery, prioritization, and decision documentation.
  • Lead go-to-market readiness for the domain, including documentation, training materials, and partner onboarding.

Desired Qualifications

  • Knowledge of data privacy and security requirements, particularly Family Educational Rights and Privacy Act (FERPA) compliance and student data protection.
  • Experience with API product management and developer-facing tools.
  • Background in social impact measurement and working with mission-driven organizations.
  • Understanding of artificial intelligence and machine-learning applications in education and student support systems.
  • Experience working with nonprofit organizations or grant-funded initiatives.

About the Company

DataKind

Volunteered data scientists for nonprofit projects

DataKind mobilizes data scientists to solve social problems by organizing collaborative events called DataDives, where volunteers work with social organizations to analyze data and develop data-driven solutions. Its work is supported by chapters in multiple countries and partnerships with major funders, along with open-source tools and resources that nonprofits can use to harness data for impact. Unlike groups that engage data professionals only in the private sector, DataKind concentrates on applying analytics to social challenges, scaling through a global network of volunteers, chapters, and partners. The goal is to drive measurable social change by turning data insights into practical programs and outcomes for nonprofits and communities.

Company size
51-200
Company stage
Seed
Total funding
$2M
Headquarters
New York City, New York
Founded
2012

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