Back to search:Product Manager / Mount Pleasant, Sc
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 ObjectivesProduct 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).
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)
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