Top Senior Engineering Manager Jobs in Salt Lake City, UT

Leads the day-to-day management and delivery of internal and partner engineering teams. Responsibilities include assigning work, unblocking engineers, maintaining scoped tickets in Linear, coordinating shared workstreams, shaping technical direction with product and engineering teams, managing performance and growth, and supporting hiring and team structure. The role also champions spec-driven development and AI-assisted engineering practices while managing distributed engineers across time zones.

Lead and mentor a software engineering team, provide technical guidance, drive architecture and engineering excellence, manage sprint execution, collaborate on product roadmaps, ensure scalable and reliable systems, foster continuous improvement, and support recruiting and onboarding. The role requires balancing technical strategy with business impact while developing high-performing engineers.

Leads the engineering team building Webflow’s code-native platform, including high-fidelity visual-to-code workflows and coding-agent integration. Sets technical and product direction, shapes architecture, owns developer experience, sequences platform and customer-facing work, and partners across product, design, and engineering. This player-coach role includes architecture reviews, prototyping, hands-on contributions, hiring, coaching, and developing a high-performing technical culture.

The Digital Control Systems Engineering Manager will lead a team in designing and integrating Grid Automation projects, ensuring high-quality engineering solutions and project delivery while managing resources and collaborating with stakeholders.

Lead and develop mobile engineering teams building Ford’s customer-facing app. Provide technical direction across product development and production, review architectures and designs, establish engineering standards for documentation, code quality, testing, and operational excellence, evaluate mobile technologies, and partner with product, design, and engineering leaders to deliver reliable, scalable experiences.

Leads and mentors cross-functional engineering teams building and operating distributed, API-driven, cloud-native platforms. Owns technical strategy, architecture, delivery outcomes, engineering excellence, operational reliability, and API lifecycle governance. Drives Agile, DevOps, cloud migration, observability, and incident management practices. Establishes responsible AI adoption across software development and guides delivery of AI-enabled products, including agentic solutions, with appropriate evaluation and controls.

Leads multiple engineering teams developing customer-facing web applications, APIs, and services for DNS and IP Acceleration products. Responsibilities include people development, technical direction, delivery planning, dependency and risk management, architecture oversight, operational readiness, cross-functional collaboration, and continuous improvement. The role requires balancing technical leadership with accountability for product outcomes across established products and new capabilities.

Manage and grow multiple engineering teams (3–5 direct reports, hire 3–5 more), coach engineers to own large, loosely defined projects, provide feedback on specs, occasionally code/debug in the codebase, and lead department-wide initiatives to improve engineering practices (reviews, interviews, demo data, developer experience).

Lead a new data engineering team to define standards, drive cross-functional AI-driven initiatives, and provide hands-on guidance in SQL optimization, data modeling, and the GCP data/streaming stack. Balance technical leadership with people management, coach engineers, promote AI-assisted workflows, and collaborate with Product and Architecture to build a standardized data ecosystem.

Leads DevOps engineering teams and manages cloud infrastructure and foundational services across AWS, GCP, and Azure. Oversees infrastructure as code, Kubernetes, CI/CD pipelines, scalability, reliability, cost optimization, monitoring, troubleshooting, and cloud security. Partners with product, engineering, and security stakeholders while mentoring engineers and driving continuous improvement and modern DevOps practices.

Leads a quality engineering team while remaining hands-on with AI-powered test automation across API, UI, integration, and end-to-end workflows. Evaluates AI tools, improves test frameworks and regression efficiency, supports release readiness, analyzes defects, tracks quality metrics, and partners with Engineering, Product, DevOps, and Release teams. Coaches employees on AI-native quality practices, prompt engineering, responsible AI use, and evaluating AI-generated tests.

Lead a Reliability Platform Engineering team to build operational intelligence, observability, and AI-driven tooling that improves production availability, resiliency, and operational governance. Partner with Platform, SRE, Infrastructure, and Product teams to define reliability standards, prioritize investments, and deliver scalable reliability and automation solutions.

Lead multiple teams in building production quality AI systems, ensuring reliable delivery and effective people management while establishing standards and practices.

Lead and grow a high-performing engineering team, partner with stakeholders to ensure the right problems are solved, guide technical decisions and architecture, improve processes and remove bottlenecks, balance long-term investments with near-term delivery, and foster ownership and continuous improvement in a remote, distributed environment.

Leads large-scale cluster deployment from rack delivery through production acceptance, including network bring-up, cabling verification, GPU-fabric integration, validation, burn-in, and RCCL performance testing. Manages deployment engineers across concurrent builds, improves deployment velocity, establishes operational playbooks and acceptance gates, coordinates with data center teams and vendors, and drives defect resolution across network, cabling, and hardware partners.

As an Engineering Manager, you'll lead and develop an engineering team, ensuring technical quality, fostering growth, and guiding product initiatives, while utilizing AI effectively.

Lead a multi-team engineering organization responsible for delivery, technical quality, production reliability, security, privacy, and AI-native development practices. Build scalable teams and managers, establish cross-team delivery systems, partner with Product and Design, oversee observability and incident response, use engineering metrics to guide improvements, and shape hiring, leveling, and talent development.

Leads engineering teams responsible for Twilio’s Porting, Hosting, and A2P Messaging products. Owns roadmap delivery, architecture collaboration, reliability, incident response, security, AI-assisted development, stakeholder alignment, and operational tooling. Recruits, develops, and retains a high-performing engineering organization while balancing customer commitments, platform needs, and operational investments.

Lead and grow engineering teams building blockchain and Web3 products. Drive technical strategy, architecture, delivery, quality, hiring, mentoring, and engineering processes to ensure reliable product delivery and team scaling.

Lead a team of Technical Solutions Engineers to triage, diagnose, and resolve production issues across Bestow's platform. Own support queue, incident command, SLAs, runbooks, automation, observability, and partner escalation while contributing ~20% production-level code and converting recurring issues into funded roadmap work.

Leads a platform engineering team responsible for foundational services supporting Alteryx products. Manages hiring, coaching, performance, career development, delivery, quality, operational readiness, and team culture. Translates strategy into priorities and execution plans, manages risks and dependencies, provides technical guidance on scalable backend and platform systems, and partners with Product, Architecture, Security, SRE, and senior leadership to deliver reliable capabilities.

Leads backend engineering teams responsible for policy, billing, and financial ledger platforms. Provides technical architecture guidance, coaches engineers, manages performance, and drives scalable, secure, high-performing systems. Partners with Product and Program Management on delivery, improves engineering processes, oversees sprint and roadmap planning, models capacity, manages resources, and aligns technical execution with business goals.

Leads a full-stack engineering team developing customer-facing SaaS products across web, mobile, backend, and AI systems. Owns engineering strategy, architecture, reliability, security, privacy, delivery planning, product health, and measurable customer outcomes. Partners with Product, Design, and customer-facing teams to define and ship products, uses production data to guide priorities, and hires, develops, and manages engineering talent.

Leads engineering for healthcare scheduling and order management platforms. Responsibilities include managing and mentoring software engineers, driving architecture and system design, modernizing legacy applications into scalable SaaS products, resolving complex production issues, and partnering with product and cross-functional teams to deliver customer-facing capabilities.

Lead Tailscale’s Developer Relations Engineering team while remaining hands-on with integrations, prototypes, demos, open-source projects, workshops, tutorials, and technical content. Own the team roadmap, coach technical contributors, collaborate cross-functionally on launches and product feedback, and measure developer engagement, activation, adoption, and business impact. The role requires strong software engineering, developer advocacy, program management, communication, and experience working in public developer ecosystems.