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)

Originally posted on Himalayas