Product Manager

Job Mission 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 identity 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 identity 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). Recruiting Points Required Experience & Skills: • 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 Preferred • 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)