Staff Software Engineer — Sensing & AI Platform

OpenGov; Boston (MA); On-site; USD 180,000 - 240,000; Full time

Benefits offered by this job

Comprehensive healthcare options for …

401(k) with company match

Paid parental leave, wellness stipends

Professional development and growth

Weekly catered lunches

Job summary

OpenGov, based in Boston, seeks a founding Staff Software Engineer for the Community Intelligence team to turn raw sensor data into structured records, condition assessments, and automated workflows across five products. You will set patterns and drive architecture while evaluating sensing technologies and data integration strategies.

With 12+ years in SaaS engineering and strong cross-team leadership, you will own end-to-end delivery, write design docs, and embed AI tooling in daily workflows

Qualifications

• 12+ years in software engineering, 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) 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.

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.

Skills

Systems design

API design

Geospatial data

AI tooling

Technical leadership

Communication

SaaS platforms

Education

Bachelor's degree in CS/Engineering

Tools

PostGIS

Vision AI

Job description

OpenGov, based in Boston, seeks a founding Staff Software Engineer for the Community Intelligence team to turn raw sensor data into structured records, condition assessments, and automated workflows across five products. You will set patterns and drive architecture while evaluating sensing technologies and data integration strategies.

With 12+ years in SaaS engineering and strong cross-team leadership, you will own end-to-end delivery, write design docs, and embed AI tooling in daily workflows