Product Manager

Omatic is a company looking for a Product Manager to lead their product development team in creating customer-centric products. The role involves collaborating with executives and clients to prioritize product objectives, managing the product roadmap, and supporting product launches.

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
• 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
• 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
• 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
• 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)

Requirements:

• 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
• 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
• 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)