Top Engineering Manager Jobs

Leads a team of 12+ engineers building and operating Microsoft Fabric platform services. Responsibilities include coaching and developing engineers, setting technical direction, scaling distributed cloud services across regions, improving reliability and performance, diagnosing complex service issues, and aligning delivery with Azure Data and Microsoft Fabric objectives. The role also partners across engineering, product, and program teams to deliver unified data platform capabilities.

Lead multiple engineering teams to ensure delivery, quality, system ownership, and engineering excellence. Drive Agile/DevOps practices, mentor leaders, define technology roadmaps, manage incidents, and deliver large-scale, high-transaction digital platforms.

Oversee multiple engineering and capital projects from conception through commissioning across manufacturing locations. Lead cross-functional teams, manage scope, safety, budgets, forecasts, schedules, risks, vendors, contractors, and stakeholder communications. Ensure compliance with food safety, USDA, FDA, and industry requirements while driving continuous improvement and successful operational handoffs. The role requires approximately 50% travel to manufacturing facilities.

Supports Air Force FSRM and MILCON programs by managing engineering, construction, renovation, and housing-related projects. Responsibilities include coordinating stakeholders, reviewing designs and specifications, tracking schedules and resources, managing deliverables and invoices, assessing risks, ensuring regulatory compliance, facilitating meetings, preparing reports, and recommending corrective actions. The role also supports contract formation, quality assessments, site-related activities, and project lifecycle oversight.

Leads a systems engineering section of 8–15 employees while providing technical and functional management. Responsibilities include hiring, talent development, performance management, resource balancing, resolving technical and program issues, and fostering an inclusive, innovative engineering culture. The role requires supporting an existing program statement of work, leading engineering teams, and maintaining active Top Secret clearance with the ability to obtain SAP/PAR access.

Lead product strategy and lifecycle for internal platform and developer enablement products. Drive discovery, adoption, de-duplication, and measurable cost-avoidance by partnering with cross-functional teams, embedding TPOM/PDLC, tracking success metrics, and improving operating cadences to scale resilient, reusable solutions.

Lead and grow a 5–10 person engineering team responsible for backend services, device platform, and applications across a large in‑store media network. Own delivery, technical standards, code quality, observability, and partnership with Product; run team cadence, hiring, performance conversations, and recover off‑track projects.

Lead an engineering and design team through the full product development lifecycle—from concept, design, testing, qualification to launch—managing priorities, timelines, resources, cross-functional partnerships, and continuous improvement to deliver manufacturable, compliant, customer-focused AV products.

Lead and grow teams building Convexs developer APIs, agent frameworks, and integrations. Stay hands-on in architecture, code review, and product decisions. Prioritize developer experience, mentor engineers, align with CTO and product, and deliver high-quality, simple, and secure platform surfaces while operating in a fast-moving startup environment.

Lead a small quality engineering team to manage quality workflows, audits, nonconformance handling, corrective/preventive actions, documentation, and early quality integration with engineering and production. Mentor junior staff, ensure compliance with industry standards, and collaborate across teams to support program execution and continuous improvement.

Lead and grow an engineering team building high-throughput, low-latency signals and targeting platforms for Netflix Ads. Partner with ML teams, design real-time and batch signal integrations, manage targeting metadata and governance, drive product and technical strategy, hire and mentor engineers, and deliver scalable production systems that enable privacy-forward audience and contextual targeting.

Lead and grow a backend engineering team building high-scale, low-latency consumer authorization platforms. Provide technical vision, partner with product, security, and data teams, balance short-term needs with long-term strategy, and hire, mentor, and retain diverse engineering talent.

Lead and grow a software engineering team building the Ads Finance platform: implement revenue recognition, billing, invoicing, data validation, and compliance (SOX/audit). Drive product-focused delivery, cross-functional collaboration, hiring, prioritization, and execution to scale automated, secure finance systems for ad monetization.

Lead two teams (Consent Data & Privacy and User Data Management) as a manager-of-managers, owning execution and multi-year technical vision for user consent, data collection, storage, pipelines, access, retention, and compliance. Partner with Product, Data Engineering, and Legal to enforce consent and data governance at scale, adapt to evolving regulations, and drive architecture and platform solutions.

Lead and grow a distributed engineering team that builds and operates Maestro, Netflix's orchestration platform. Partner cross-functionally to deliver strategy and adoption, ensure reliability at massive scale (24x7 on-call, 99.95%+ availability), prioritize technical debt and foundational work, and drive timely results while improving stability, performance, and operational efficiency.

Lead Platform Systems engineering: define technical strategy, drive AI stack modernization, improve reliability, capacity, cost efficiency, and developer productivity; hire and develop engineers; deploy GenAI tooling; and coordinate cross-functional execution across AIMS and infrastructure teams.

Lead an engineering team building real-time live ad insertion infrastructure and tooling across server and client models. Own reliability for 24/7 linear streams and high-stakes live events, define technical roadmap (SCTE ingestion, manifest stitching, ad pod management), set on-call/incident response, hire and develop engineers, and coordinate cross-functionally with ad ops, broadcast engineering, CDN and ad serving partners.

Lead and grow an engineering team building ad measurement systems: first‑party measurement (conversion/brand/geo lift, incrementality), causal inference and attribution, scalable data pipelines and measurement APIs, collaborate cross‑functionally, hire and develop talent, and drive product and executional excellence in a fast paced environment.

Lead a team of ML engineers and researchers to build next-generation content personalization and recommendation algorithms across movies, games, and live events. Define vision and strategy, drive projects end-to-end from research to production and A/B tests, collaborate cross-functionally, hire and mentor, and improve systems using transfer learning, ranking, bandits, and deep learning.

Lead two engineering groups building shared foundational services (identity, subscription). Drive technical strategy, architecture, observability, CI/CD, and DORA metrics. Manage people, hiring, cross-team collaboration, product partnerships, and mentor engineers while occasionally prototyping and contributing to code and technical planning.

Lead complex, cross-functional ASIC and infrastructure programs from concept through production. Coordinate silicon, firmware, hardware, software, sourcing, operations, and vendors; manage design, verification, validation, qualification, and production release; plan milestones, track risks and dependencies, and drive process improvements to ensure timely, high-quality delivery.

Owns AI Canvas product strategy, roadmap, adoption, quality, and execution. Uses telemetry, product analytics, evaluation frameworks, customer feedback, and experiments to prioritize improvements and drive growth, retention, engagement, and enterprise adoption. Partners with research, data science, engineering, UX, sales, and marketing to translate AI capabilities into measurable product outcomes while promoting responsible AI, privacy, and rapid development.

Manage a team of ~5 engineers to develop and execute test and range certification (RCC-319/324) for OBTE. Lead integration, hardware-in-the-loop lab setup, test planning, supplier oversight, schedule/cost planning (EVMS), and coordinate safety, system test, and customer reviews. Ensure verification, approvals, and readiness for flight test instrumentation and telemetry systems. Requires active DoD Secret clearance.

Manages engineering and project activities for refined products and crude oil assets, including pipeline, storage terminal, pump station, measurement, design, procurement, construction, and optimization projects. Responsibilities include engineering analysis, hydraulic calculations, equipment sizing, cost management, contracts, schedules, change orders, process safety, regulatory compliance, economic analysis, and operational improvement recommendations. Coordinates third-party contractors and prepares technical studies, specifications, budgets, and project reports.

Lead the Control Planes and Ecosystem engineering organization, overseeing managers and multiple teams. Define strategy for Crossplane, enterprise control planes, Marketplace, providers, extensions, and partner integrations. Drive architecture, scalability, reliability, ecosystem growth, roadmap execution, production excellence, and cross-functional alignment with Product, GTM, Alliances, and Customer Success.