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Senior Engineering Manager Jobs in Massachusetts

Axon

Engineering manager embedded

Boston, MA

Senior Engineering Manager Direct Reports: Roughly 8 to start, with expectations to scale it further in future years * Lead and grow a high performing team that designs and develops embedded ...

Lenze

Senior Manager, Industrial Engineering

Uxbridge, MA · On-site

$145K - $160K/yr

Senior Manager, Industrial Engineering Location : Uxbridge, MA Position Type/Schedule: Onsite Monday - Friday Compensation: $145,000 - $160,000 ( Compensation is an estimate and depends on skills ...

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Senior Engineering Manager information

See Massachusetts salary details

$69.3K

$148.7K

$216.2K

How much do senior engineering manager jobs pay per year?

As of Sep 4, 2026, the average yearly pay for senior engineering manager in Massachusetts is $148,688.00, according to ZipRecruiter salary data. Most workers in this role earn between $124,000.00 and $178,000.00 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 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 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.

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 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.

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Senior Engineering Manager jobs near you
Infographic showing various Senior Engineering Manager job openings in Massachusetts as of August 2026, with employment types broken down into 82% Full Time, 14% Part Time, 1% Temporary, 2% Contract, and 1% Nights. Highlights an 79% Physical, 3% Hybrid, and 18% Remote job distribution, with an average salary of $148,688 per year, or $71.5 per hour.

Senior Engineering Manager, Robotics and Humanoid Research

FieldAI

Boston, MA • On-site

Full-time

Re-posted 28 days ago

Job description

Job Summary:
FieldAI is transforming how robots interact with the real world. We are seeking an accomplished Senior Engineering Manager to lead a lean, high-performing team of research scientists and engineers working at the forefront of robotics AI, defining research strategy and overseeing the development of advanced AI algorithms.
Responsibilities:
• Define and execute the robotics AI research roadmap in alignment with FieldAI’s mission and product goals.
• Identify emerging research directions, tools, and techniques across robotics, embodied AI, and machine learning.
• Establish clear technical goals, milestones, and success metrics tied to real-world robot performance.
• Recruit, mentor, and manage a multidisciplinary team of research scientists and engineers.
• Provide hands-on technical leadership through design reviews, experiment reviews, and close collaboration on challenging problems.
• Own performance management, professional development, and career progression within the team.
• Lead projects from problem definition through algorithm design, simulation, on-robot testing, and field deployment.
• Ensure research outputs translate into robust, scalable, and safe systems on physical robots.
• Champion experimental rigor, including benchmarking, ablations, reproducibility, and failure analysis.
• Collaborate closely with product, engineering, and operations teams to integrate research into production systems.
• Communicate technical progress, risks, and tradeoffs clearly to cross-functional stakeholders and leadership.
• Represent Field AI externally through publications, conferences, collaborations, and recruiting.
• Build and maintain processes for experiment management, evaluation, and reproducibility.
• Manage resources, timelines, and priorities to deliver high-quality results efficiently.
• Foster a culture of technical excellence, ownership, and rapid iteration.
Qualifications:
Required:
• PhD in Computer Science, Robotics, Artificial Intelligence, or a related field, or equivalent practical experience, with a strong background in applied research.
• 8+ years of experience delivering impactful research in robotics AI, machine learning, or closely related domains.
• 4+ years of leadership experience managing research and engineering teams, including hiring, mentorship, performance management, and career development.
• Proven ability to lead multiple complex projects in parallel, from early research through real-world validation.
• Direct, hands-on experience developing, testing, and deploying AI models on humanoid and/or quadruped robots.
Preferred:
• Experience with large-scale field robotics deployments.
• Deep expertise in one or more areas such as robotics reinforcement learning, manipulation, perception, planning, or multi-robot systems.
• Demonstrated success with sim-to-real transfer on legged or humanoid platforms.
• Experience deploying AI on embedded or edge systems in resource-constrained environments.
• Publications or impactful open-source contributions in robotics or embodied AI.
Company:
FieldAI is building general robot intelligence for the physical world. Founded in 2023, the company is headquartered in Mission Viejo, USA, with a team of 201-500 employees. The company is currently Growth Stage.

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