Staff Software Engineer
OpenGov· Engineering
US | Massachusetts | BostonFull-timePosted 5d ago
About the role
Founding Staff Software Engineer on the Community Intelligence team in OpenGov’s Boston office, building AI-native sensing and detection capabilities integrated across multiple product lines, with end-to-end ownership from data ingestion to workflow routing and compliance-aware data quality.
Responsibilities
- Design and build the sensing-platform connector/adapter layer that maps LiDAR- and imagery-derived asset detections into OpenGov Products
- Architect the automated detection-to-case pipeline that turns a sensing detection into a properly routed record in the right product's workflow engine, complete with photo evidence, GPS coordinates, and a severity score.
- Evaluate, integrate, or build the computer-vision and LiDAR-fusion models this requires, including the technical path for consolidating with or extending EAM's existing Vision AI microservice (rd-capture).
- Design the data model and storage layer for a continuously updated spatial data that all five Community Operations products read from and contribute to.
- Own the technical design for a tiered sensing-ingestion model (satellite, fleet-vehicle camera, full LiDAR survey) supporting different refresh cadences, accuracy levels, and price points.
- Partner with engineering and product leads across OpenGov products to sequence the sensing layer's roadmap against each product's asset taxonomy and compliance requirements.
- Write clear technical design docs that AI tooling can execute against; review and own AI-generated code for correctness, security, and architectural fit.
- Establish testing, monitoring, and data-quality standards appropriate to a system whose outputs feed regulatory and safety-relevant workflows, including ADA compliance and FEMA reimbursement documentation.
Qualifications
- 12+ years of software engineering experience, with a track record of owning complex, cross-system integrations end-to-end in a production SaaS environment.
- Experience building or integrating computer-vision, LiDAR, or geospatial data-processing pipelines; comfort with point-cloud or 3D spatial data is a strong plus.
- Strong data-modeling and API/connector design skills, able to reconcile a third party's data schema against multiple existing internal data models without resorting to one-off custom logic.
- Experience with geospatial systems (PostGIS, spatial indexing, coordinate reference systems) preferred.
- Comfortable operating with incomplete information and ambiguous vendor integration paths; makes and defends build-vs-integrate calls.
- Experience partnering across multiple product teams and translating a strategic technical vision into a scoped, sequenced delivery plan.
- A track record of shipping systems where data accuracy carries real compliance or safety consequences (regulatory, infrastructure, or public-sector systems) is a strong plus.
- Proficient in AI-native engineering workflows: can direct AI tooling for scaffolding, test generation, and code review while retaining ownership of architecture and correctness.
- Excellent written communication; can produce technical design docs that align stakeholders across five product teams.
- Bachelor's degree in Computer Science, Engineering, or equivalent practical experience.
Skills
Required:Sensing platform designComputer visionData modelingTechnical writing
Nice to have:LiDAR / 3D spatial dataGeospatial systems
Benefits
- Comprehensive healthcare options for individuals and families
- Flexible vacation policy and paid company holidays
- 401(k) with company match
- Paid parental leave, wellness stipends, and HSA contributions
- Professional development and growth opportunities
- A collaborative office environment with weekly catered lunches.
Last updated Oct 22, 2026. Interested? Apply on the company site.
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