Senior Product Manager

Kindsight

United States

Remote

USD 91,000 - 105,000

Full time

14 days+

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Job summary

Kindsight is seeking a product leader to own the fundraising intelligence strategy, shaping data and AI applications for frontline fundraisers. The role covers discovery through launch and ongoing improvement, with a focus on CRM capabilities, donor intelligence, and tools for nonprofits to work more effectively.

The candidate should bring 5+ years in product management, experience delivering scalable B2B SaaS, and strong collaboration with Design, Engineering, Sales, and Customer Success.

Qualifications

  • At least five years of product management experience, ideally in B2B SaaS or enterprise software.
  • Experience delivering and scaling products in fast-paced, cross-functional settings, with ownership of strategy and roadmaps for complex domains.
  • Familiarity with Agile delivery, Scrum principles, and backlog management.
  • Technical fluency to work effectively with engineers and shape sound product plans.
  • Clear written and verbal communication, customer empathy, and the ability to move from strategy to shipped outcomes.
  • Experience with external partnerships and integrations, and the ability to work autonomously.

Responsibilities

  • Set and champion a product vision that connects customer needs, data and AI opportunities, and business goals.
  • Identify and validate opportunities for AI-enabled fundraising features and improved CRM capabilities.
  • Lead the product lifecycle, translating discovery into requirements and user stories, then guiding delivery, launch, and iteration.
  • Engage nonprofit customers to understand their workflows, constraints, and measures of success.
  • Maintain the roadmap, prioritize work, and partner with Design, Engineering, Sales, Customer Success, and Marketing.
  • Define product KPIs, use customer feedback and data to improve outcomes, and communicate progress and risks to leadership.

Skills

Product management
B2B SaaS
Agile/Scrum
Technical fluency
Communication
Partnerships & integrations

Job description

Role overview

Own product strategy and delivery for fundraising intelligence, shaping how data and AI support frontline fundraisers. The role spans discovery through launch and ongoing improvement, with a focus on CRM capabilities, donor intelligence, and tools that help nonprofit organizations work more effectively.

Responsibilities
  • Set and champion a product vision that connects customer needs, data and AI opportunities, and business goals.
  • Identify and validate opportunities for AI-enabled fundraising features and improved CRM capabilities.
  • Lead the product lifecycle, translating discovery into requirements and user stories, then guiding delivery, launch, and iteration.
  • Engage nonprofit customers to understand their workflows, constraints, and measures of success.
  • Maintain the roadmap, prioritize work, and partner with Design, Engineering, Sales, Customer Success, and Marketing.
  • Define product KPIs, use customer feedback and data to improve outcomes, and communicate progress and risks to leadership.
Requirements
  • At least five years of product management experience, ideally in B2B SaaS or enterprise software.
  • A record of delivering and scaling products in fast-paced, cross-functional settings, including ownership of strategy and roadmaps for complex domains.
  • Familiarity with Agile delivery, Scrum principles, and backlog management.
  • Technical fluency to work effectively with engineers and shape sound product plans.
  • Clear written and verbal communication, customer empathy, and the ability to move from strategy to shipped outcomes.
  • Experience with external partnerships and integrations, and the ability to work autonomously.
Nice to have
  • Familiarity with CRMs, ERPs, fundraising technology, or the fundraising sector.
  • Experience with AI platforms or AI-powered product features.
Benefits and work setup
  • Advertised compensation is CAD $130,000–$150,000 OTE annually, based on experience, market benchmarks, and role complexity.
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