About gWorks:
gWorks builds software that helps small local governments work better. Our clients are public servants — city clerks, utility billing staff, public works teams, and county administrators — who keep their communities running. Their work is essential, but often constrained by outdated tools.
We fix that. Our cloud-based platform replaces legacy systems with simple, integrated software built specifically for small governments. We serve thousands of communities nationwide, streamlining operations, improving service delivery, and making day-to-day work more manageable.
We’re consolidating several acquired products into one platform and guiding our clients through this transition. It’s complex, important work — and we need a leader who can execute at a high level to help drive that transformation.
The Role:
You’ll lead product development for an internal SaaS data transformation platform — a full ingestion, mapping, validation, and deployment pipeline built on AWS. You’ll own every layer of it: schema design, transformation rules, internal tooling, versioning, auditability, and the long-term roadmap.
Your users aren’t external clients—they’re the internal Implementation, Engineering, and Support teams who rely on your platform to execute fast, accurate migrations. To succeed, you’ll need a strong command of data architecture and the ability to think like both a systems engineer and a product strategist.
This is a platform enablement role. You’re not building dashboards—you’re building the system that powers our systems.
Key Responsibilities:
Define a Scalable Platform Vision
- Translate the broader gWorks product strategy into a clear, platform-level roadmap
- Collaborate with engineering and architecture teams to build a standards-based transformation pipeline
- Champion internal tooling and schema governance as product priorities
Own the Execution Engine
- Break platform needs into scalable, testable epics (e.g., rollback flows, ingestion logic, validation layers)
- Write backlog-ready tickets that translate abstract data problems into concrete logic
- Prioritize reusable solutions that improve every future migration
Empower Internal Teams
- Build workflows and tools that allow non-engineers to confidently run migrations and validate output
- Eliminate manual bottlenecks with automation, audit trails, and intuitive design
- Partner closely with Implementation, Engineering, QA, and DevOps to align platform priorities with frontline needs
Deliver Quality at Scale
- Lead efforts to build in validation, versioning, observability, and rollback from the start
- Define KPIs for transformation performance, schema accuracy, and team enablement
- Ensure the system scales across clients, acquisitions, and future growth
Why This Isn’t a General PO Role
This role is:
- Platform-focused — You’re not building UI. You’re owning the infrastructure behind every client migration
- Technically fluent — You’ll own schema-level decisions and failure-mode triage
- Internally driven — Your success is measured by team enablement, data accuracy, and scalability—not feature velocity
- Mission-critical — This platform is the backbone of gWorks onboarding, growth, and acquisition integration
If you’ve only owned customer-facing UIs or haven’t worked closely with data pipelines or ETL architecture, this role likely isn’t a match.
What You’ll Bring
- 5+ years in a Product Owner or Technical Product Manager role, with deep experience in:
- ETL or data transformation systems
- SaaS platforms and internal tooling
- AWS-native infrastructure
- Familiarity with tools like S3, Lambda, ECS, Step Functions, and Terraform
- Proficiency in data formats and standards like JSON, Parquet, schema validation, and mapping logic
- A history of building internal platforms that drive operational efficiency
- Ability to write precise, technically specific user stories with edge-case awareness
- Proven collaboration across engineering, QA, DevOps, and operations
- Bonus: Experience with schema governance and reusable transformation frameworks
What Success Looks Like
- A reusable migration engine used for 100% of client onboardings by mid-2026
- 98%+ schema match accuracy and <1% rework during validation
- Implementation teams running migrations independently, with minimal Engineering intervention
- Decreased go-live escalations, support rework, and migration downtime
- A clean, modular backlog aligned to platform architecture and internal tooling
Where You’ll Work
- Omaha-based? You'll follow our hybrid model: work remotely with in-office collaboration on Tuesdays and Thursdays
- Remote? You’ll be fully supported to work from anywhere in the U.S.
We prioritize connected, accountable teams — no matter where you're located
Compensation & Benefits
- Base Salary Range: $105,000–$130,000 (based on experience)
- Full medical, dental, and vision insurance
- 401(k) with company match
- Flexible PTO and paid holidays
- A collaborative team culture that values autonomy, growth, and execution
A Note to Candidates
This is a technical product ownership role. You’ll be expected to lead from the details—schema edge cases, transformation flows, validation logic, and more.
If you’ve worked on ETL platforms, data systems, or internal infrastructure—and you're ready to own a mission-critical product that helps thousands of cities thrive—we want to hear from you.
Equal Opportunity Employer
gWorks is an equal opportunity employer. We value diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.