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Senior Product Manager

Fully Remote - can be based anywhere in the U.S.

DataKind is looking for a Senior Product Manager to drive product strategy and execution for our Education Portfolio products!

DataKind is seeking a Senior Product Manager to own the product lifecycle and user experience for our product portfolio in Education. This portfolio spans existing and upcoming innovative Data products that enables educational institutions to harness AI and advanced analytics for equitable student outcomes. This role will report directly to the Director, Product Management and will be instrumental in delivering impact to students and institutions.

Location

Remote position available anywhere in the U.S. with working hours primarily between 8am-6pm Eastern Time.

Salary Range

The salary range is $133,000 - 155,000

Actual salary within this range will be based on the candidate's experience and internal salary equity scan of active employee(s) with similar role and experience.

About the Opportunity

Reporting to the Director, Product Management, the Senior Product Manager will own the end-to-end product management, working closely with educational institutions, engineering teams, and data science professionals. This individual contributor role combines deep technical product management with mission-driven impact, ensuring that our solutions enable institutions to provide equitable support for all students.

Core Responsibilities

Product Ownership

  • Own the product roadmap, feature prioritization, and release planning for our products and systems
  • Define and maintain product requirements, user stories, and acceptance criteria, with an initial focus on backend and data platform deliverables
  • Collaborate with engineering to ensure technical architecture decisions align with product vision and user needs
  • Monitor users and stakeholder needs to drive continuous improvement

Product Development and Delivery

  • Work within agile development frameworks to deliver features that meet institutional needs and timeline commitments
  • Partner with Design and Engineering teams to create intuitive user experiences for data management and system configuration
  • Lead sprint planning, backlog grooming, and feature specification processes
  • Ensure seamless integration capabilities with existing institutional systems and third-party tools

Performance Measurement and Analytics

  • Define and track key performance indicators for adoption, usage, and impact on student outcomes
  • Analyze system performance data, user behavior, and institutional feedback to identify optimization opportunities
  • Create reporting frameworks that demonstrate value delivered to educational partners and internal stakeholders
  • Support grant reporting and impact measurement initiatives related to implementation

Cross-functional Collaboration and Internal Alignment

  • Partner closely with Implementation Managers and other stakeholders to understand institutional needs and implementation challenges
  • Collaborate with Engineering teams on technical architecture decisions and development prioritization
  • Work with Data Science teams to ensure capabilities align with AI/ML application requirements
  • Support the Director, Product Management on strategic portfolio decisions and cross-product initiatives
  • Coordinate with Program Officers when product decisions impact institutional partnerships

Cross-functional Collaboration

  • Work closely with the Director, Product Management on strategic initiatives and portfolio-level decisions
  • Support go-to-market activities including documentation, training materials, and partner onboarding processes
  • Participate in donor and partner presentations to communicate product progress and impact

Qualifications

Required

  • Alignment and enthusiasm for DataKind's mission and values, particularly in education equity and data-driven social impact
  • 4+ years of product management experience, with demonstrated success launching and scaling enterprise software products
  • 2+ years of experience with data infrastructure, backend systems, or B2B SaaS platforms
  • Strong understanding of data engineering concepts including data ingestion, ETL processes, cloud storage, and API design
  • Experience with SQL
  • Experience working with technical stakeholders including data engineers, data scientists, and system administrators
  • Familiarity with cloud platforms (AWS, Azure, GCP) and modern data stack technologies
  • Proven ability to gather requirements from complex stakeholder environments and translate them into clear product specifications
  • Experience with agile methodologies, including user story writing, sprint planning, and cross-functional team collaboration
  • Excellent communication skills with ability to present technical concepts to non-technical audiences
  • Experience with performance measurement, analytics, and data-driven decision making
  • Demonstrated enthusiasm for learning and adapting to new technologies and systems

Preferred

  • Experience in the education technology sector or with student information systems
  • Knowledge of data privacy and security requirements, particularly 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 AI/ML applications in education and student support systems
  • Experience working with nonprofit organizations or grant-funded initiatives

About DataKind

At DataKind, we believe in the transformative power of data science and AI to create a more promising future. Since our founding in 2012, we’ve been at the forefront of designing scalable, data-driven tools that address some of the world’s toughest challenges—ranging from frontline health, humanitarian action, climate and environment, economic opportunity, education, and more. As both a product innovator and a movement catalyst, we set new standards in the social sector, empowering 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.

 

Encouraging Applicants of All Backgrounds

We encourage people from all backgrounds to apply, especially people of color, people with disabilities, veterans, and members of the LGBTQ+ community. 

DataKind is an equal opportunity employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status, genetic information, pregnancy, or any other category/characteristics protected by law. No matter one’s background, all role must value and advocate for inclusion and equity.

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

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