Product Manager

Role Description

Lead a product development team to create products that customers love, creating value for both Omatic and our clients.

Key responsibilities:

• Partner with the CEO & executive team to prioritize product development objectives.
• Interface with clients to uncover market problems, test divergent ideas and converge on the best solution that is valuable, usable and feasible.
• Drive outcomes by setting the strategic direction (roadmap) and managing the tactical implementation (backlog).
• Support launching products in the market, including sales readiness, go-to-market activities and ongoing post-launch efforts.

Measurable Objectives

• Product Discovery & Opportunity Assessment:
  • Runs a continuous-discovery loop (weekly customer touchpoints, rapid experiments, opportunity-solution tree kept current).
  • Frames market problems with clear learning objectives, risks & assumptions before delivery.
  • Leads the Triad (PM + UX + Lead Engineer) to test value, usability & feasibility early; encourages intelligent risk-taking.
  • Combines qualitative insight (interviews, jobs-to-be-done) with quantitative signal (usage, funnel, NPS) to size opportunities.
  • Challenges assumptions openly—asks crisp, “what would have to be true?” questions.
  • Leverages Generative AI capabilities as a product lever and can identify where AI adds genuine user value vs. where it’s cosmetic, and partners with engineering to evaluate feasibility.
• Strategic Roadmap & Outcome Planning:
  • Owns an outcome-based roadmap that ties directly to company OKRs and 4-lens test (Strategy, Vision, Customer, Business).
  • Gains executive & cross-functional alignment through storytelling and visuals; roadmaps are adaptable (reviewed at least quarterly).
  • Converts high-level outcomes to measurable Key Results and maintains a visible trace from initiative → metric.
• Product Ownership & Agile / Kanban Delivery:
  • Serves as Product Owner for an agile process; backlog always reflects priority + class-of-service.
  • Sets High-Integrity Commitments (fixed-date work) only when risk-adjusted forecasts support them; meets ≥ 90 % of those dates.
  • Collaborates daily with engineering to slice value thinly, ensure definition-of-ready/done, and unblock swiftly.
  • Leverages Generative AI capabilities as a product lever and can identify where AI adds genuine user value vs. where it’s cosmetic, and partners with engineering to evaluate feasibility.
• Collaboration, Evangelism & Leadership:
  • Cultivates trust-first relationships; practices pre-wiring / shuttle diplomacy to avoid surprises.
  • Evangelizes the product vision internally & externally; can demo, train, and support customers end-to-end.
  • Models servant-leadership: creates psychological safety, celebrates experiments (even failed ones) and elevates team expertise.
  • Proactively translates company strategy into product narratives that resonate with every function (sales, CX, marketing, finance).

Qualifications

• 5+ years of software product management experience, including ownership of a product roadmap and backlog.
• Demonstrated experience running continuous product discovery (customer interviews, experiments, opportunity sizing).
• Track record of shipping software products through a full lifecycle — from discovery through launch and iteration.
• Experience working within Agile/Lean/Kanban delivery teams as a Product Owner or equivalent.
• Strong data literacy — comfortable using analytics, funnel metrics, and usage data to inform decisions.
• Technical fluency — able to collaborate deeply with engineering on feasibility, trade-offs, and system design (not expected to write code).
• Exceptional written and verbal communication skills; ability to lead meetings, present to executives, and facilitate cross-functional alignment.
• Go-to-market experience — has partnered with sales, marketing, and CX on launches and enablement.
• BA/BS degree required.

Requirements

• Experience with data integration, interoperability, or iPaaS/middleware products.
• MBA or equivalent graduate degree.
• Experience with outcome-based roadmapping and OKR frameworks.
• Familiarity with LLM capabilities, prompt engineering, and the practical constraints of AI systems.

Nice-to-Have

• Prior experience working within Salesforce or Blackbaud ecosystems.
• Prior experience working in the nonprofit sector (either at a nonprofit or at a nonprofit software/service provider).