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Senior Engineering Manager Jobs in Bothell, WA (NOW HIRING)

hackerone

Senior Manager, AI Engineering

Seattle, WA · On-site

Senior Manager, AI Engineering Remote Location: Seattle, WA or Austin, TX Position Summary At HackerOne, AI is central to how we help organizations continuously identify and reduce cyber risk. As a ...

HackerOne

Senior Manager, AI Engineering

Seattle, WA · On-site

$240K - $280K/yr

Senior Manager, AI Engineering Remote Location: Seattle, WA or Austin, TX Position Summary At HackerOne, AI is central to how we help organizations continuously identify and reduce cyber risk. As a ...

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Senior Engineering Manager information

See Bothell, WA salary details

$71K

$152.2K

$221.3K

How much do senior engineering manager jobs pay per year?

As of Jul 14, 2026, the average yearly pay for senior engineering manager in Bothell, WA is $152,196.00, according to ZipRecruiter salary data. Most workers in this role earn between $126,900.00 and $182,200.00 per year, depending on experience, location, and employer.

What is a Senior Engineering Manager?

A Senior Engineering Manager is a seasoned leader responsible for overseeing multiple engineering teams or large projects within an organization. They manage engineering managers or team leads, set technical direction, and ensure alignment with business goals. Their duties include mentoring staff, driving process improvements, managing budgets, and collaborating with other departments. Senior Engineering Managers play a key role in hiring, performance evaluations, and fostering a productive engineering culture. They typically have extensive industry experience and strong leadership skills.

What is the highest salary for an engineering manager?

The highest salaries for senior engineering managers can exceed $200,000 annually, especially in high-cost-of-living areas or within large tech companies. Compensation often includes bonuses, stock options, and other benefits, reflecting experience, industry, and company size.

What are the key skills and qualifications needed to thrive as a Senior Engineering Manager, and why are they important?

To thrive as a Senior Engineering Manager, you need a robust background in engineering principles, leadership experience, and a relevant degree, often complemented by prior management roles. Familiarity with project management tools (such as Jira or Asana), software development methodologies (like Agile), and technical certifications can be highly beneficial. Exceptional communication, conflict resolution, and mentoring skills set top performers apart in this role. These skills are vital for effectively guiding teams, delivering projects on time, and fostering an innovative and collaborative engineering environment.

What engineer makes $500,000 a year?

Senior engineering managers, especially in high-paying industries like technology or finance, can earn $500,000 or more annually, often including bonuses and stock options. Such compensation typically requires extensive experience, leadership skills, and working in companies with large-scale projects or high revenue.

What Is a Senior Engineering Manager?

Senior engineering managers oversee the project team to ensure each phase is completed accurately, on time, and within budget. They coordinate with the company’s marketing and sales departments to determine what products or services are offered to clients and then develop those offerings to specifications. As a senior engineering manager, you may also need to troubleshoot equipment or software. To become a senior engineering manager, you need a certificate or degree in computer science or a related field, several years of working in software development, and management experience.

How much does a senior engineering manager make in the US?

A senior engineering manager in the US typically earns between $130,000 and $180,000 annually, with total compensation often including bonuses and stock options. Salaries vary based on industry, company size, location, and experience, and strong leadership and technical skills are highly valued in this role.

What is the difference between Senior Engineering Manager vs Engineering Director?

AspectSenior Engineering ManagerEngineering Director
ResponsibilitiesOversees multiple engineering teams, manages project delivery, and mentors managersSets strategic direction, manages multiple departments, and aligns engineering goals with company objectives
Required CredentialsBachelor's or Master's in Engineering or related field, 8+ years experience, leadership skillsSimilar credentials, often with 10+ years experience, strategic planning skills
Work EnvironmentHands-on team management within engineering teamsHigh-level strategic planning, cross-department coordination
Industry UsageCommon in tech companies, startups, and large enterprisesTypically found in larger organizations with complex structures

While both roles require strong technical backgrounds and leadership skills, Senior Engineering Managers focus more on team management and project execution, whereas Engineering Directors are responsible for strategic planning and organizational alignment across multiple teams.

What does a senior engineering manager do?

A senior engineering manager oversees engineering teams, manages project timelines, and ensures technical goals are met. They coordinate between teams, set strategic direction, and often have responsibilities related to hiring, budgeting, and process improvement to support product development and technical excellence.

How does a Senior Engineering Manager typically balance technical leadership with people management responsibilities?

A Senior Engineering Manager often splits their time between guiding technical strategy and supporting their team’s professional development. This involves overseeing complex engineering projects, setting clear technical direction, and ensuring best practices are followed, while also mentoring engineers, conducting performance reviews, and fostering a collaborative team culture. Balancing these areas requires strong delegation, prioritization, and communication skills, as well as regularly collaborating with other departments like Product and Design to align goals. Most organizations expect Senior Engineering Managers to actively contribute to both technical and people-focused initiatives, which can be challenging but is essential for team and project success.
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Senior Engineering Manager jobs near you

Senior Engineering Manager, Agentic AI Platforms

LVT

Seattle, WA

Other

Posted 27 days ago

Job description

ABOUT THIS ROLE

We are seeking a Senior Engineering Manager to lead a high-performing engineering team building the next generation of Agentic AI and intelligent distributed systems at LVT.

This role sits at the center of Physical AI innovation and requires a leader who combines strong engineering fundamentals with deep passion for emerging AI technologies. You will lead teams building AI-driven services, autonomous workflows, distributed systems, and platforms that connect cloud intelligence with edge devices operating in real-world environments.

You will work closely with Product, Architecture, AI/ML, Edge, and Platform teams to transform large-scale streams of sensor and video data into actionable intelligence. This role requires someone who can build scalable systems while attracting, mentoring, and retaining exceptional engineering talent.

You should be equally comfortable discussing AI model architectures, distributed system design, inference pipelines, and organizational leadership.

ROLE RESPONSIBILITIES

  • Team Leadership & Talent Development: Lead, coach, and grow a high-performing team of software engineers and AI engineers. Recruit exceptional talent while building an environment that promotes mentorship, ownership, and long-term retention.
  • Agentic AI Platforms: Lead the development of systems that leverage AI agents, memory systems, orchestration frameworks, and autonomous workflows to enable intelligent decision-making and real-world automation.
  • Scalable Distributed Architecture: Partner with Principal Engineers and Architects to design and build resilient, highly available distributed services capable of supporting large-scale deployments and high-throughput workloads.
  • AI & Machine Learning Systems: Partner with AI/ML teams on training, deployment, evaluation, and operationalization of models including LLMs, VLMs, and multimodal systems.
  • Edge-to-Cloud Intelligence: Drive architecture that spans cloud services and edge infrastructure, ensuring intelligent orchestration across cameras, sensors, and distributed compute environments.
  • Technical Strategy & Execution: Translate product strategy into technical roadmaps and execution plans while balancing innovation, reliability, scalability, and delivery commitments.
  • Engineering Excellence: Establish strong engineering practices around architecture reviews, operational excellence, reliability, observability, AI evaluation frameworks, and development workflows.
  • AI Productivity & Developer Experience: Drive adoption of AI-assisted development practices and tools to improve engineering velocity and increase team leverage.
  • Cross-functional Leadership: Partner closely with Product, Hardware, Security, Infrastructure, and Architecture organizations to align priorities and accelerate delivery.
  • Innovation Leadership: Maintain awareness of emerging trends in Agentic AI, AI infrastructure, Physical AI, and distributed computing. Encourage experimentation and thoughtful technology adoption.

OUR IDEAL CANDIDATE

  • Engineering Leadership Experience: 10+ years of software engineering experience including 4+ years managing and growing engineering teams in high-growth environments.
  • AI Systems Experience: Experience building and deploying AI-driven systems utilizing machine learning models, LLMs, multimodal AI, recommendation systems, or agentic architectures.
  • Agentic AI Expertise: Experience designing systems involving AI agents, memory systems, orchestration frameworks, MCP architectures, retrieval systems, or autonomous workflows.
  • Distributed Systems Expertise: Strong experience designing highly scalable distributed systems and cloud-native services supporting tens of thousands of edge devices and millions of events per day.
  • Cloud & Infrastructure Experience: Strong background with cloud platforms such as AWS and modern container orchestration technologies including Kubernetes.
  • Technical Foundation: Strong experience in languages such as Python, Go, C++, or Java and experience building APIs and large-scale backend systems.
  • MLOps & AI Infrastructure: Familiarity with ML infrastructure and tooling including model deployment pipelines, evaluation frameworks, observability, and inference optimization.
  • Physical AI Passion: Strong interest in AI applications involving real-world systems including sensors, video, robotics, IoT, computer vision, or edge intelligence.
  • Talent Builder: Demonstrated success hiring, mentoring, retaining, and developing high-performing engineering organizations.
  • Strategic Thinking: Ability to make thoughtful, data-driven decisions and balance long-term platform investments with immediate business needs.
  • Education: Bachelor's or Master's degree in Computer Science, Engineering, AI, Data Science, or related field.

PREFERRED QUALIFICATIONS

  • Experience with Computer Vision, Large Vision Models, or multimodal systems.
  • Experience deploying AI models to edge environments including NVIDIA Jetson or similar hardware.
  • Experience with AI frameworks and tooling including TensorFlow, PyTorch, LangGraph, MCP frameworks, vector databases, and inference platforms.
  • Experience with AI safety, guardrails, evaluation frameworks, and memory systems.

COMPENSATION

The beginning annual salary range for this role is $250,200.00 - $302,900.00 USD and is determined by location, job-related experience, and education/training. Total compensation includes annual performance incentives and participation in LVT's equity program.

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