Jobs at GenLogs

Lead and mentor software engineers while driving architecture, code quality, delivery processes, deployment reliability, and technical excellence. Collaborate with product and design stakeholders on roadmaps and deliverables, provide hands-on technical guidance, mitigate project risks, and support hiring and team development. The role requires expertise in software engineering, scalable architectures, databases, APIs, distributed systems, DevOps, and high-performance applications within a remote, fast-paced environment.

Owns computer vision systems end to end, from roadside camera configuration and image quality through model development, edge inference, production deployment, monitoring, and customer outcomes. Builds detection, tracking, OCR, attribute extraction, embedding, and re-identification systems; optimizes pipelines for constrained edge hardware; investigates field failures; improves datasets and evaluation frameworks; and collaborates with engineering and field teams to deliver reliable roadside intelligence at scale.

Provide technical support to GenLogs users through email, chat, and Google Meet. Troubleshoot workflows, distinguish user errors from product bugs, manage customer database permissions, document and follow up on tickets, and collaborate with Engineering and Integrations teams. Support onboarding, training, office hours, and ongoing customer success while developing expertise in the platform, data, and APIs.

Build and maintain automated integration and end-to-end test suites for ReactJS portals and Python/NextJS APIs. Define test strategies and acceptance criteria, validate data with SQL, integrate regression tests into CI/CD, manage test data, investigate defects, reduce flaky tests, and own release quality gates. Use AI tools to generate and scale tests while partnering with product, engineering, and data teams to improve platform quality.

Own strategic enterprise customer accounts, lead complex implementations, manage executive relationships, conduct account planning and QBRs, and drive retention, renewals, expansion, and customer advocacy. Coordinate with Product, Engineering, Data, Support, Sales, and other GTM teams to improve customer outcomes and influence product direction. Travel quarterly or as needed for customer meetings, workshops, QBRs, and industry events.

Leads the software engineering organization responsible for scalable, reliable applications and systems integrating hardware, embedded software, edge computing, cloud infrastructure, and machine learning. Sets technical strategy, develops engineering leaders, drives product delivery, establishes engineering standards, and ensures operational excellence across national-scale deployments. Partners with Product, Deployment, Data Science, and executive leadership to align roadmaps, resolve risks, and build high-performing distributed teams.

Leads the multidisciplinary Integrated Sensor engineering organization across hardware, embedded and edge software, cloud platforms, and distributed systems. Sets technical strategy, architecture, engineering standards, and product delivery processes while scaling reliable systems for nationwide field deployment. Responsibilities include recruiting and developing engineering leaders, coordinating hardware and software development, improving testing and operational resilience, resolving field issues, and partnering with Product, Deployment, Data Science, and company leadership.

Own and build GenLogs’ public sector customer success function, leading agency onboarding, adoption, retention, expansion, and renewals. Train users, translate workflows into platform queries, represent customer needs to product and engineering, support pre-sales, develop relationships across government stakeholders, and contribute to customer discovery and government projects. The role supports law enforcement missions and requires up to 40% travel in field environments.

As a Senior Software Engineer, you will work across the stack to create scalable and reliable systems for tracking freight intelligence, influencing architecture, mentoring, and collaborating with various teams.

The Senior Data Engineer will build and maintain ETL/ELT pipelines, optimize SQL queries, and collaborate on machine learning workflows, driving data engineering best practices.

As a Data Engineer, you will build and maintain data pipelines, ensure data quality, support ML workflows, and optimize query performance using various technologies.

The Data Scientist at GenLogs will build machine-learning systems, analyze large datasets, and collaborate with engineering and product teams to deliver advanced logistics intelligence solutions.

Own full-cycle technical recruiting for Engineering and Product: source, screen, negotiate offers, partner with hiring managers on plans and interview design, coach interviewers, and improve ATS and hiring processes to ensure strong candidate experience.