Top Engineering Manager Jobs

Leads a team responsible for data engineering platforms, pipelines, schemas, governance, databases, transformations, data marts, and production operations. Sets technical direction, manages architecture and delivery priorities, mentors and hires engineers, and partners with stakeholders. The role requires hands-on involvement in data platform design, PostgreSQL optimization, orchestration, reliability, security, and analytical data serving. It also manages project plans, staffing, budgets, performance measures, and cross-team technical delivery.

Leads multidisciplinary engineering teams supporting automated manufacturing operations. Oversees mechanical equipment design, integration, commissioning, reliability, root-cause analysis, capital equipment execution, and operational improvements. Develops engineering managers and technical staff while partnering with Operations, Quality, Maintenance, Facilities, and Reliability to improve equipment availability, throughput, yield, quality, and OEE. Requires deep hands-on automated machine design expertise and leadership experience in demanding manufacturing environments.

Leads process improvement, standardization, project management, equipment installation, testing, maintenance optimization, and quality initiatives within an optical manufacturing lab. Evaluates process and equipment data, manages supplier relationships, validates consumables, oversees testing, supports IT and LMS systems, develops reports and training materials, and collaborates with quality, training, maintenance, and other labs to improve efficiency, reduce costs, and resolve production issues.

Coordinates multiple engineering projects within large-scale technology programs. Manages schedules, budgets, resource allocation, communications, stakeholder updates, escalations, and progress reporting. Leads cross-functional project teams, supports product and service development, tracks program outcomes, and recommends adjustments to maintain delivery timelines and budgets. Requires intermediate program-management expertise, analytical and problem-solving skills, knowledge of project methodologies, and the ability to communicate effectively with engineering and manufacturing stakeholders.

Leads a team of 10–15 software engineers responsible for Atlassian Government Cloud release infrastructure and processes. Owns release planning, readiness, go/no-go decisions, cutover, verification, rollback, incident escalation, and compliance. Defines a multi-quarter roadmap covering trunk-based development, feature flags, progressive rollouts, automated gates, and rollback automation. Partners across engineering, product, QA, SRE, security, and compliance while coaching team members and improving release reliability.

Leads and develops software engineering teams responsible for customer acquisition, experimentation, personalization, and SEO/AEO features. Owns delivery outcomes, prioritization, technical strategy, architecture, system resilience, engineering excellence, and team health. Partners with product managers, TPMs, designers, and recruiting teams while guiding distributed systems, cloud infrastructure, developer tooling, and applied AI/ML initiatives.

Lead a distributed engineering organization building developer infrastructure, AI measurement and evaluation frameworks, context retrieval pipelines, agentic workflow infrastructure, and developer tooling. Manage engineering managers and senior engineers, shape technical roadmaps, optimize reliability and costs, partner with product and executive leadership, and foster a high-trust engineering culture.

Leads and grows a backend engineering team building scalable, low-latency continuous identity security systems. Responsibilities include architecture, hands-on coding, distributed systems development, service reliability, incident response, engineering practices, roadmapping, hiring, mentoring, and cross-functional collaboration. The role develops identity threat detection and response capabilities, including just-in-time access and continuous authorization across cloud, SaaS, endpoint, and browser environments.

Leads a business intelligence engineering team by setting technical strategy, managing hiring and performance, coordinating sprints and capacity, conducting design reviews, and partnering with stakeholders and peer managers. Oversees data warehouse, BI tooling, and workflow strategy while contributing limited hands-on development, debugging, and fixes. Requires expertise in BI tools, SQL, cloud data warehouses, analytical solutions, and technical team management.

Leads warehouse solutions engineering for RFPs and active deployments. Analyzes client data, develops resource requirements, layouts, process flows, costs, business cases, and ROI analyses. Evaluates material-handling and automation solutions, recommends vendors, supports procurement, and manages project implementation across logistics stations. The role requires expertise in warehouse strategy, labor modeling, WMS integration, automation deployment, supply chain optimization, and industrial engineering, with on-site work required.

Leads the creation of a Corporate Integrations engineering team, including hiring, mentoring, backlog ownership, stakeholder requirements discovery, integration and API design, and software delivery oversight. Establishes engineering practices such as testing, CI/CD, code reviews, monitoring, security, scalability, and observability. Provides hands-on technical leadership using F# and AWS while collaborating with business and engineering stakeholders.

Leads and grows the engineering team, oversees customer implementations and product delivery, manages stakeholders, balances customization with core product development, and establishes engineering quality and reliability practices. The role also remains hands-on with TypeScript and Node.js coding, code reviews, debugging, and production support. Experience with AI products, healthcare workflows, HIPAA, EHR integrations, and early-stage startups is valuable.

Leads supplier quality controls, including supplier onboarding, qualification, Approved Supplier List management, performance monitoring, and regulatory compliance. Manages supplier quality processes across multiple manufacturing sites, modernizes workflows using enterprise and quality management systems, and partners cross-functionally on system improvements and QMS documentation. Leads and develops Supplier Quality Engineers while supporting supplier changes, nonconformances, and operational procurement needs.

Lead and grow a full-stack engineering team building AI-powered clinical documentation, assistants, reusable AI skills, and provider workflows. Own technical direction, roadmap execution, architecture, reliability, and operational excellence across Python, TypeScript/React, data systems, cloud infrastructure, and LLM workflows. Partner with product, design, clinical, AI/ML, and platform teams while mentoring engineers and delivering secure, scalable healthcare software.

Leads production quality engineering, calibration, and quality control teams across Northridge and Ridgecrest. Oversees ISO 9001 and AS9100 systems, audits, inspection strategies, nonconformance resolution, RCCA/CAPA, supplier quality collaboration, calibration, metrics, digital quality initiatives, and Lean Six Sigma continuous improvement for missile production. Partners with manufacturing, engineering, supply chain, program leadership, and customers to maintain compliance, audit readiness, safety, and product quality.

Lead ontology and knowledge-graph engineering for client engagements, including schema and taxonomy design, graph construction, retrieval-augmented generation, and agent context engineering. Managers lead this work on individual engagements, while Senior Managers shape methods across engagements and provide cross-engagement authority. The role requires hands-on experience with semantic technologies, graph databases, LLM systems, RAG, agile consulting teams, and team or workstream leadership. Travel may range from 0% to 100% based on client needs.

Leads industry-focused knowledge engineering engagements, including discovery, ontology design, knowledge graph and data taxonomy development, and lifecycle management for AI engines. Senior Managers provide authority across engagements within a vertical. The role requires experience with knowledge engineering, data modeling, industry data, LLM systems, retrieval-augmented generation, team leadership, and agile consulting or engineering environments.

Manage production engineering projects from concept through production, improving processes, procedures, productivity, product designs, and testing. Lead technical troubleshooting, process integration, cost analysis, capital expenditure evaluation, budgeting, and systems workflow design. Train teams in engineering and continuous-improvement methods, provide multi-site expertise, and oversee staff hiring, development, performance, work assignments, and policy execution. Partner with business leaders to evaluate engineering feasibility, demand, operational efficiency, and cost effectiveness.

Leads a graphics system software engineering team developing workstation graphics drivers and GPU architecture enablement. Responsibilities include technical and people leadership, driver design and optimization, hardware-software collaboration, performance and stability investigations, execution planning, mentoring, hiring, and improving validation through automation and AI-assisted development. The role requires expertise in computer architecture, operating systems, graphics pipelines, C/C++, and APIs such as Vulkan, OpenGL, DirectX, or Metal.

Leads software engineering and IT systems teams supporting enterprise supply chain and purchasing applications. Oversees hiring, performance, budgets, project delivery, production support, modernization, architecture, troubleshooting, and stakeholder collaboration. The role requires hands-on leadership in PL/SQL, Oracle APEX, REST integrations, Windows Server, Agile SDLC, and distributed application ecosystems, with responsibility for 24/7 support, technical debt, system stability, and hybrid team management. The position is onsite in Cleveland and requires 10% travel.

Lead the Data Streaming engineering sub-team responsible for reliable, scalable ingestion, normalization, and routing of cybersecurity telemetry. Manage and grow a 6–7 engineer team, establish SLOs and on-call processes, maintain schemas and data contracts, improve pipeline reliability and scalability, and collaborate with Security Research, Database Platform, and Asset Inventory teams. The role requires hands-on expertise with streaming architectures, cloud-native operations, data quality, and pipeline observability.

Lead a 6–7 person engineering team responsible for building, shipping, and maintaining production-grade integrations with security platforms such as CrowdStrike, SentinelOne, Splunk, and ServiceNow. Own the integration product roadmap, API contracts, reliability, compatibility, certification pipeline, and upstream change management. Partner with customer success, security research, and partnerships teams while hiring and developing engineers. The role requires hands-on technical expertise in Go or Python, enterprise authentication, event-driven architectures, AWS serverless services, and security data normalization.

Leads NCE’s engineering practice in the Lake Tahoe and Sierra regions. Responsibilities include mentoring and recruiting technical staff, business development, client and proposal management, project leadership, technical delivery, design oversight, and quality control. The role manages multidisciplinary teams working on civil, environmental, water resources, transportation, and recreation projects, while collaborating with senior leadership and other offices. Minimal occasional travel to Reno, Sacramento, and Richmond may be required.

Lead and grow data engineering and analytics engineering teams while overseeing data platform modernization, BigQuery and Looker migrations, reusable dbt models, self-service capabilities, governance, reliability, and data foundations for AI and ML. Partner with technical and business stakeholders to prioritize roadmaps, manage hiring and performance, improve adoption, and protect sensitive healthcare data.

Leads traffic engineering projects from conception through completion, including traffic impact studies, signal design, roadway safety audits, field investigations, and traffic analysis. Collaborates with multidisciplinary teams, ensures regulatory compliance, presents findings to clients, and mentors junior engineers. The role also supports traffic control, signing and striping, ITS, construction-phase services, and project delivery.