Top Senior Engineering Manager Jobs in Richmond, VA

The Senior Engineering Manager leads the Data Platform team, overseeing data engineers, managing data pipelines, and driving Root's data strategy across business functions.

Lead and mentor the Activations engineering team to deliver integrations and workflows that get new banking clients to production. Balance hands-on coding, system design, code reviews, and product partnership while ensuring reliability, scalability, and high-quality backend services and APIs.

Lead and manage a team building airgap-native, UDS-compatible cloud-native software. Own delivery of scalable, highly available products, collaborate with Product and Delivery, mentor engineers, improve architecture and processes, and drive secure CI/CD and infrastructure automation.

The Engineering Manager will lead a team of engineers to develop and maintain software solutions, collaborate with various teams, and implement CI/CD practices. They will also mentor engineers and influence organizational technology strategies.

Lead and grow the Platform Engineering team, define architectural standards for pipelines, integrations, and an AI platform, drive CI/CD and IaC adoption, embed AI-native development practices, manage delivery cadence and tradeoffs, run high-velocity strike teams, coach engineers, and contribute hands-on to internal tooling and infrastructure.

Lead the engineering team at ServiceTitan, owning technical vision, improving systems, mentoring engineers, and collaborating with cross-functional teams to enhance product performance and reliability.

Lead the software and infrastructure teams for a UCaaS platform, driving delivery and operational excellence while coaching engineers and managing projects.

Lead and hands-on manage the Catalog engineering team, own sprint delivery and architecture, write and ship full‑stack production code using AI-assisted tooling, hire and grow engineers, and drive collaboration with product and design while shaping an AI-driven SDLC.

Lead teams building and operating the core data platform, ingestion pipelines, datalake adoption, Data APIs, permissions, and customer-facing data access to enable reliable, scalable client data delivery and AI-enabled workflows; partner cross-functionally and develop engineering talent while reducing operational burden through automation.

Lead and grow a compute engineering team building large-scale, multi-tenant compute platforms for AI workloads. Drive strategy, roadmap, architecture, operations, capacity planning, and reliability. Own on-call, incident response, and cost/utilization tradeoffs while partnering across product, security, and customers to deliver a predictable, efficient, and secure compute substrate.

As a Senior Engineering Manager, you will lead product engineers in enhancing AI-driven SMS marketing solutions for ecommerce brands, focusing on team management, technical mentorship, and operational efficiency.

Lead the Tools & Frameworks engineering team to build shared backend libraries, internal tooling, scalable APIs, and schemas. Define roadmap, balance technical and business priorities, drive architectural excellence (including FHIR translation, monorepo decomposition, data federation, event-streaming), mentor engineers, and collaborate cross-functionally to improve developer productivity and platform reliability.

The Manager of Data Engineering leads a team to implement data architecture, manages project execution, and ensures pipeline quality. Responsibilities include team management, setting standards, developing engineering culture, and collaborating with stakeholders.

The Engineering Manager will lead a cross-functional team, focusing on delivering platform initiatives, improving developer experience, and enhancing engineering standards.

Lead and manage the development of the Landscape systems management solution for Ubuntu, guiding a team of engineers and setting strategic goals.

The Senior Engineering Manager at Planet leads the engineering team, focusing on delivering products for Defense Intelligence. Responsibilities include mentoring engineers, refining processes, and collaborating across teams for effective deployment of technology.