WennSoft

Field service and construction software. Established in 1995.

Product Manager

Product ManagerProduct ManagerFull TimeRemoteTeam 51-200Since 1995H1B No SponsorCompany SiteLinkedIn

Location

Wisconsin

Posted

11 days ago

Salary

Not specified

Bachelor Degree5 yrs expEnglish

Job Description

• Own GA readiness for your Nexus area: define “what must be true” for launch (instrumentation, onboarding steps, documentation, support readiness, known-issues policy, rollout gates). • Build a repeatable adoption engine: create and run a design-partner / early adopter motion with defined success criteria, activation milestones, and a managed feedback loop. • Create and maintain a prioritized backlog: deliver fully defined epics and user stories (use case context, dependencies, and testable acceptance criteria) that cover at least the next 12 weeks / 2 releases and are “ready” for engineering. • Drive outcomes with data: define KPIs and dashboards (activation funnel, workflow adoption, time-to-live) and lead a weekly cadence to make decisions, prioritize work, and report progress. • Lead customer discovery with leverage: conduct customer interviews and workflow reviews; synthesize insights from calls, support tickets, and usage data into product decisions. • Communicate clearly and consistently: provide crisp weekly status, risks, and tradeoffs to stakeholders; align scope and sequencing across teams. • Partner with GTM to launch: contribute to packaging/positioning inputs, release notes, enablement materials, and internal training for product launches. • Operate AI-first: use AI tools to accelerate synthesis of customer feedback, draft PRDs/stories/acceptance criteria, generate test scenarios, and automate recurring reporting—while ensuring human validation and accountability.

Job Requirements

  • 5+ years of Product Management experience delivering customer-facing software.
  • Proven record of shipping and driving adoption (not just delivering features).
  • Strong ability to translate complex workflows into high-quality epics and user stories with clear acceptance criteria.
  • Comfort operating in ambiguity with an ownership mindset—able to make tradeoffs and drive alignment.
  • Data-informed approach: experience defining KPIs, instrumentation needs, and using product analytics to guide prioritization.
  • Excellent written and verbal communication; able to drive decisions across engineering, GTM, and customer-facing teams.
  • AI-first working style: practical experience using AI to increase product velocity and quality (research synthesis, drafting requirements, experiment design, release communications, and operational updates).

Benefits

  • Health insurance
  • 401(k) matching
  • Paid time off

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