Top Senior Engineering Manager Jobs

Manage a globally distributed software development team, promote coding excellence, and deliver SaaS products effectively while collaborating with cross-functional teams.

Lead and scale engineering teams, manage engineering operations, and collaborate on product strategies while maintaining a high-performance culture.

Lead a team to build AI-powered automation systems, focusing on design, implementation, and customer feedback to enhance internal operations.

Lead an API engineering team to develop and maintain services for Brightwell's payment platform, balancing hands-on coding and team management responsibilities.

Lead and develop a remote team of Python engineers, ensuring their growth and satisfaction while driving high-quality software delivery.

As the Engineering Manager for Scribe's Platform team, you will lead the backend team, define technical strategy, collaborate on product outcomes, and foster engineering culture while ensuring reliability and compliance.

Lead and ship production-critical payment systems as a hands-on engineering leader. Own delivery, technical direction, incident resolution, mentoring, hiring, and engineering process in a compliance-focused fintech environment.

Lead and grow a team of full‑stack engineers to build and support low‑latency, high‑throughput sports platform services. Drive delivery, quality, performance testing, observability, and migration to GCP. Mentor engineers, remove blockers, enforce standards, manage risk and dependencies, and contribute to technical direction for services in Golang, Google Spanner, C#, SQL, Kafka and React.

Lead a hands-on product engineering team to deliver cloud-native, AI-first applications. Responsibilities include team hiring and development, client delivery ownership, architecture guidance, solutioning with sales, resource management, and practice operations while driving adoption of modern engineering, DevSecOps, and GenAI practices.

Lead and mentor a backend engineering team owning enterprise address services. Partner with product, architects, SRE, and security to deliver scalable, secure, API-first microservices, ensure quality, reliability, CI/CD practices, incident response, and continuous improvement while managing delivery, metrics, and vendor/offshore teams.

The Engineering Manager leads the Application Engineering team, aligns engineering with operations, translates customer requirements into manufacturable solutions, and supports business development efforts while maintaining engineering excellence.

Lead the UI Platform team to enable frontend developers, manage recruitment and talent development, implement product strategies, and oversee technical architecture.

Design, implement, and maintain scalable brokerage systems and middle/back-office services (gRPC microservices, React admin UI). Lead regional recruitment and reliability, mentor engineers, act as incident commander, collaborate with global teams, troubleshoot issues, and build solutions supporting multi-language/currency markets and regulatory requirements.

Lead and scale the Statsig product engineering organization to deliver experimentation, feature rollout, dynamic configuration, and analytics platform capabilities. Define multi-year strategy, establish operating model and ownership, guide technical direction across frontend/backend/SDK/data/infrastructure, partner cross-functionally, balance adoption with reliability and safety, and build senior leadership bench to integrate Statsig as core product infrastructure at OpenAI.

The Senior Manager, Software Engineering will oversee multiple engineering teams for an unpublished R&D product, defining engineering strategy, managing performance, and shaping product development. This role requires a hands-on approach in implementation and close collaboration with product teams, focusing on backend systems for game development and scaling technologies effectively.

Lead and develop a software engineering team modernizing a legacy enterprise platform. Drive re-architecture, define target-state architecture and technical strategy, guide scalability and reliability decisions, and establish engineering standards for testing, code review, CI/CD, infrastructure automation, observability, and operational excellence. Partner with Architecture, Product, Security, and business stakeholders while recruiting talent, supporting career development, and balancing technical priorities with delivery commitments.

Lead Docker’s Secure Build and SCS Services teams, owning delivery, team health, technical direction, operational excellence, hiring, and engineer development. Shape portfolio priorities across secure build, Docker Scout, and Docker Hardened Images while balancing roadmap work, reliability, on-call, and stakeholder commitments. Partner with Product and cross-functional teams, guide distributed-systems and infrastructure decisions, oversee incidents and production operations, and establish clear ownership across team interfaces. The role requires strong backend engineering judgment, software supply-chain security understanding, and leadership across remote European and US teams.

Lead and grow a software integration and test team to verify aerospace products from development through production. Oversee automated test strategy (Python), define test requirements, collaborate across multidisciplinary engineering teams, manage risks and documentation, and drive continuous improvement in test automation, product quality, and program delivery.

Lead a 6–8 engineer team building an SSH client, web app, and backend services for an agentic AI platform. Own architecture, hiring, process, roadmap partnership with product, incident response, and mentorship while remaining ~20% hands-on.

Leads technical strategy, architecture, and development for enterprise applications supporting the electric grid at large scale. Guides distributed systems design, reliability, security, performance, and operational excellence. Partners with product, design, data science, and power systems teams to convert ambiguity into technical roadmaps. Provides hands-on technical guidance, mentors engineers and technical leaders, and builds high-performing engineering teams and organizational capabilities.

Leads Snowflake’s AI Developer Experience engineering team, setting the roadmap for transforming software development and delivery through AI. Responsibilities include managing and developing engineers, improving code review latency, enabling access to modern AI tools and models, establishing agentic development pathways, and maintaining operational excellence through on-call management, incident response, postmortems, and support prioritization. The role requires strong technical judgment, cross-functional communication, measurable customer impact, and experience modernizing developer productivity and CI/test workflows.

Lead and grow the Search Platform team building indexing, retrieval, ranking, and serving infrastructure for Claude. Own platform strategy, search quality, evaluation, and production reliability. Balance product and research demands, collaborate across product, research, and infrastructure, perform design reviews and incident follow-ups, and recruit and retain senior engineers.

Lead and mentor engineering teams to design, build, and roll out Accounts Payable functionality across multiple ERP integrations. Own architecture through deployment, ensure secure high-performance integrations, manage dependencies, drive CI/CD and testing best practices, and collaborate with product, QA, and stakeholders to deliver AP automation, payment processing, approvals, and reconciliation.

Leads and develops a software engineering team building Libra Solutions’ platforms in an AI-native, agentic delivery model. Owns delivery commitments, technical quality, architecture, code reviews, engineering standards, CI/CD, technical debt, and AI-assisted development practices. Partners with Product, Engineering, and business stakeholders while tracking delivery and system health metrics. Coaches engineers, supports hiring and retention, and establishes responsible AI, prompt engineering, and output-review standards.

Lead and scale Flux's product engineering organization: set technical direction, drive delivery and architectural decisions, hire and mentor engineers, integrate AI-native practices, ensure reliability and velocity, and align engineering with product, design, and go-to-market priorities.