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Associate Engineering Manager Jobs in Boston, MA

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Associate Engineering Manager information

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$13

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$54

How much do associate engineering manager jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for associate engineering manager in Boston, MA is $27.61, according to ZipRecruiter salary data. Most workers in this role earn between $18.80 and $32.40 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an associate engineering manager, and why are they important?

To thrive as an Associate Engineering Manager, you need a solid background in engineering principles, experience leading projects, and typically a relevant degree in engineering or a related field. Familiarity with project management tools (like Jira or Asana), version control systems (such as Git), and sometimes Agile certifications is highly valued. Strong communication, leadership, and problem-solving skills help in motivating teams and managing stakeholder expectations. These skills and qualities are essential for ensuring project success, fostering team development, and delivering high-quality engineering outcomes.

What are the primary challenges faced by an associate engineering manager when transitioning from an individual contributor role?

One of the main challenges Associate Engineering Managers encounter during this transition is balancing technical responsibilities with new leadership duties. Instead of focusing solely on coding or technical tasks, you will need to prioritize mentoring, project management, and facilitating team collaboration. This shift often requires developing strong communication skills and the ability to delegate effectively while still staying engaged with technical decisions. Navigating these changes successfully can set the foundation for further leadership opportunities.

What is an associate engineering manager?

Associate Engineering Managers are early-career leaders who support engineering teams by overseeing projects, coordinating team members, and helping deliver technical solutions. They typically assist senior engineering managers by handling daily operations, tracking project progress, and facilitating communication between engineers and other departments. This role often serves as a stepping stone to higher management positions and requires both technical expertise and strong leadership skills.

What is the difference between Associate Engineering Manager vs Software Engineer?

AspectAssociate Engineering ManagerSoftware Engineer
Required CredentialsBachelor's degree in engineering or related field; some roles prefer management or leadership experienceBachelor's degree in computer science, software engineering, or related field
Work EnvironmentLeads teams, manages projects, collaborates with cross-functional teamsDevelops, tests, and maintains software applications
Employer & Industry UsageUsed in tech companies, startups, and large corporations for team leadership rolesCommon across all tech and software development companies
Common Search & Comparison IntentUnderstanding managerial responsibilities and career progressionFocus on technical skills and coding responsibilities

The Associate Engineering Manager role bridges technical expertise and team leadership, overseeing projects and guiding engineers. In contrast, Software Engineers focus primarily on coding and technical development. While both roles require a strong technical background, the Associate Engineering Manager also emphasizes leadership, project management, and cross-team collaboration.

What are the most commonly searched types of Engineering Manager jobs in Boston, MA? The most popular types of Engineering Manager jobs in Boston, MA are:
What job categories do people searching Associate Engineering Manager jobs in Boston, MA look for? The top searched job categories for Associate Engineering Manager jobs in Boston, MA are:

Senior Manager AI Engineering

Staples, Inc.

Framingham, MA • On-site

Full-time

Retirement, PTO

Posted 16 days ago


Staples rating

5.8

Company rating: 5.8 out of 10

Based on 629 frontline employees who took The Breakroom Quiz

426th of 731 rated retailers


Job description


Staples Digital Solutions is building scalable AI-powered pricing, forecasting, optimization, and decision intelligence capabilities that help improve revenue, margin performance, customer value, and operational efficiency. This team partners across Product, Finance, Merchandising, Revenue Management, Digital, Sales, and Technology to turn complex commercial challenges into practical, measurable business outcomes.
As the Sr. Manager AI Engineering you will lead the strategy, development, and delivery of enterprise-grade AI solutions that power smarter pricing and decision-making. You'll manage AI Engineering and Data Engineering teams, guide technical roadmaps, and work closely with business and technology leaders to deliver solutions that drive growth, improve profitability, and create a better experience for customers and associates.
What you'll be doing:
  • Lead the roadmap and delivery for pricing AI, forecasting, optimization, and decision intelligence solutions.
  • Oversee development of capabilities such as price elasticity modeling, demand forecasting, promotion optimization, revenue optimization, and competitive pricing.
  • Apply machine learning, statistical modeling, forecasting, and optimization techniques to solve complex business problems.
  • Manage AI/ML platforms, MLOps processes, and cloud-based engineering solutions using technologies such as Databricks, Snowflake, and Azure AI.
  • Establish performance metrics, monitor business impact, and drive continuous improvement of AI solutions.
  • Partner with Product, Finance, Merchandising, Revenue Management, Digital, Sales, and Technology teams to prioritize work and deliver measurable business value.
  • Champion AI-assisted software development practices that improve delivery speed, quality, and productivity.
  • Manage team resources, budgets, priorities, and execution across multiple high-impact workstreams.
  • Lead, coach, recruit, retain, and develop AI Engineering and Data Engineering talent while fostering a culture of innovation, accountability, and continuous improvement.

What you bring to the table:
  • Strategic and technical leadership with the ability to connect AI engineering work to business goals.
  • Strong commercial judgment and the ability to understand pricing, revenue, margin, and customer-value drivers.
  • Analytical problem-solving skills and curiosity for using data to improve decision quality.
  • Clear communication skills, including the ability to translate complex AI, analytics, and engineering concepts into business-focused recommendations.
  • Cross-functional collaboration and influence across product, business, finance, sales, digital, and technology stakeholders.
  • A people-first leadership style focused on coaching, talent development, accountability, and continuous improvement.
  • An innovation mindset and comfort leading change in a fast-paced, evolving environment.
  • Strong prioritization skills with the ability to balance multiple initiatives, risks, resources, and outcomes.

What's needed- Basic Qualifications:
  • Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, Economics, Information Systems, or related technical or quantitative field, or equivalent work experience.
  • 10+ years of experience delivering enterprise-scale AI, data, analytics, or software engineering solutions.
  • 5+ years of experience leading technical, analytics, AI, data engineering, or software engineering teams.
  • 3+ years of experience supporting pricing, revenue management, forecasting, optimization, or retail analytics solutions.
  • Experience developing, deploying, or supporting production AI/ML solutions.
  • Experience using Python and SQL in AI, machine learning, data engineering, analytics, or software engineering environments.
  • Experience working with cloud-based data, AI, or engineering platforms.
  • Experience translating business requirements into technical solutions with measurable outcomes.

What's needed- Preferred Qualifications:
  • Master's degree in Computer Science, Data Science, Engineering, Statistics, Operations Research, or a related quantitative, analytics, or technology discipline.
  • Experience with price elasticity modeling, promotion optimization, demand forecasting, revenue optimization, or competitive pricing capabilities.
  • Experience with Databricks, Snowflake, Azure AI, MLOps, or cloud-native architectures.
  • Experience using AI-assisted development tools such as GitHub Copilot, Claude, ChatGPT, or similar technologies.

We Offer:
  • Inclusive culture with associate-led Business Resource Groups
  • 22 days of PTO and Holiday Schedule (7 observed paid holidays + 1 floating holiday)
  • Online and Retail Discounts, Company Match 401(k), Physical and Mental Health Wellness programs, and more!

The salary range represents the expected compensation for this role at the time of posting. The specific base pay may be influenced by a variety of factors to include the candidate's experience, skill set, education, geography, business considerations, and internal equity. In addition to base pay, this role may be eligible for bonuses, or other forms of variable compensation.
About Us
Staples is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, sexual orientation, age, national origin, protected veteran status, disability, or any other basis protected by federal, state, or local law.

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