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Productivity Engineer Jobs (NOW HIRING)

Ramp

Software Engineer, Bill Pay & Procurement

... with Product, Finance, and Data to translate accounting and compliance policies into robust ... Required : • 3+ years of backend engineering experience, ideally in fintech, payments, or ...

Ross Stores

Engineer, Industrial

Shafter, CA · On-site

$70K - $82K/yr

The Productivity Engineer I is responsible for the development, implementation, documentation, and support of the engineered production standards as well as the development and implementation of best ...

ASM

Senior Process Engineer, Productivity

Phoenix, AZ · On-site

$103K - $133K/yr

As a Process Productivity Engineer at ASM, you will work with our customers as a system level expert focused on product support for new product development. This role will require 25-50% domestic and ...

Verition Group LLC

Treasury Engineer

New York, NY · On-site

$120K - $200K/yr

We are seeking an experienced engineer to join our Treasury engineering team. Responsibilities: * Design, build, and maintain systems to calculate and manage margin requirements, financing interest ...

Ross Stores, Inc

Engineer, Industrial

Shafter, CA

$70K - $82K/yr

The Productivity Engineer I is responsible for the development, implementation, documentation, and support of the engineered production standards as well as the development and implementation of best ...

Tutor Perini

Change Order Engineer

New York, NY · On-site

$150K - $180K/yr

Tutor Perini Corporation is seeking a Change Order Engineer to join our project site in midtown Manhattan. About Tutor Perini Corporation Extraordinary Projects, Exceptional Performance The world ...

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Productivity Engineer information

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$84.5K

$109.3K

$129.5K

How much do productivity engineer jobs pay per year?

As of Jul 22, 2026, the average yearly pay for productivity engineer in the United States is $109,324.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,000.00 and $124,000.00 per year, depending on experience, location, and employer.

What is the difference between Productivity Engineer vs Process Improvement Specialist?

AspectProductivity EngineerProcess Improvement Specialist
Required CredentialsBachelor's in Engineering, Industrial Engineering, or related fields; certifications like Six Sigma or LeanBachelor's in Business, Industrial Engineering, or related fields; certifications like Six Sigma or Lean
Work EnvironmentManufacturing, technology, or engineering firms focusing on efficiency and systems optimizationCorporate offices, consulting firms, or manufacturing settings focusing on workflow and process enhancements
Employer & Industry UsageTech companies, manufacturing, engineering firmsManufacturing, healthcare, finance, consulting

While both roles focus on improving efficiency, a Productivity Engineer primarily develops systems and tools to enhance overall productivity, often in technical or engineering environments. A Process Improvement Specialist concentrates on analyzing and refining existing processes to increase efficiency within organizations. Both roles require similar certifications and often overlap in industries, but their core focus and daily tasks differ slightly.

What engineers make $200,000 a year?

Senior productivity engineers, especially those with extensive experience, specialized skills in automation, and proficiency with tools like data analysis and process optimization, can earn $200,000 or more annually. High compensation is often associated with roles in large companies, leadership positions, or those with advanced certifications and a strong track record of improving organizational efficiency.

What does a productivity engineer do?

A productivity engineer analyzes workflows, processes, and systems to improve efficiency and effectiveness within an organization. They often use data analysis, process mapping, and automation tools to identify bottlenecks and implement solutions that enhance team performance and operational productivity.

What engineers make $300,000 a year?

Senior software engineers, especially those with expertise in high-demand areas like machine learning, cloud computing, or cybersecurity, can earn $300,000 or more annually. Compensation often includes base salary, bonuses, and stock options, particularly in large tech companies or startups with significant funding.

What are the key skills and qualifications needed to thrive as a Productivity Engineer, and why are they important?

To thrive as a Productivity Engineer, you need strong analytical skills, knowledge of process improvement methodologies (such as Lean or Six Sigma), and typically a degree in engineering or a related field. Familiarity with data analysis tools, workflow management systems, and certifications like Lean Six Sigma or PMP are commonly required. Excellent problem-solving abilities, communication, and collaboration skills help you drive change and influence teams effectively. These competencies are crucial for identifying inefficiencies, implementing solutions, and achieving measurable productivity gains in organizational processes.

How does a Productivity Engineer typically collaborate with cross-functional teams to drive process improvements?

Productivity Engineers often work closely with departments such as operations, quality assurance, and supply chain to analyze workflows and identify areas for efficiency gains. They facilitate meetings, gather feedback from various stakeholders, and use data-driven approaches to recommend process optimizations. Strong communication and project management skills are essential, as Productivity Engineers must translate technical solutions into actionable plans across diverse teams. This collaborative approach ensures that improvements are practical, sustainable, and aligned with organizational goals.

What are Productivity Engineers?

Productivity Engineers are professionals who focus on optimizing processes, workflows, and systems within an organization to enhance efficiency and output. They use a combination of engineering principles, data analysis, and technology to identify bottlenecks and recommend improvements. Their work often involves automating repetitive tasks, implementing new tools or software, and collaborating with different teams to streamline operations. Ultimately, Productivity Engineers help companies achieve better results with fewer resources, saving time and costs.

What engineers make $500,000 a year?

Senior-level engineers in specialized fields such as software engineering, data engineering, or systems architecture can earn $500,000 or more annually, especially with experience, advanced skills, and in high-demand industries. Compensation often includes base salary, bonuses, stock options, and other incentives, particularly at large tech companies or startups with significant funding.
More about Productivity Engineer jobs
What cities are hiring for Productivity Engineer jobs? Cities with the most Productivity Engineer job openings:
What states have the most Productivity Engineer jobs? States with the most job openings for Productivity Engineer jobs include:
What job categories do people searching Productivity Engineer jobs look for? The top searched job categories for Productivity Engineer jobs are:
What are popular job titles related to Productivity Engineer jobs? For Productivity Engineer jobs, the most frequently searched job titles are:
Productivity Engineer jobs near you
Infographic showing various Productivity Engineer job openings in the United States as of July 2026, with employment types broken down into 96% Full Time, 1% Part Time, and 3% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $109,324 per year, or $52.6 per hour.

Software Engineer, Developer Productivity, AI Tools

Thinking Machines Lab

San Francisco, CA • On-site, Remote

$350K - $475K/yr

Other

Medical, Dental, Vision, PTO

Posted 16 days ago

Job description

About the Role

We are hiring a developer productivity engineer to advance how we build software internally: safely, quickly, and with delight. The main focus are AI tools and coding agents. You'll partner with platform, security, and product engineers to build state-of-the-art tooling for AI-assisted software development, and make our inner loop dramatically faster. 

The scope of this role includes both setting up company-wide platforms and working with developers to accelerate their individual workflows. 

Note: This is an "evergreen role" that we keep open on an on-going basis to express interest. We receive many applications, and there may not always be an immediate role that aligns perfectly with your experience and skills. Still, we encourage you to apply. We continuously review applications and reach out to applicants as new opportunities open. You are welcome to reapply if you get more experience, but please avoid applying more than once every 6 months. You may also find that we put up postings for singular roles for separate, project or team specific needs. In those cases, you're welcome to apply directly in addition to an evergreen role.

What You'll Do
  • Enable our researchers and engineers to leverage AI to improve coding productivity without compromising code quality
  • Standardize AI coding tools, such as Claude Code, Cursor, and Codex. You will help configure, harden, and maintain the best tools, integrating org-wide configurations with individual preferences.
  • Build secure, reproducible agent sandboxes for remote dev & CI testing.
  • Set up golden-path dev environments and guardrails for secrets/PII.
  • Help individual contributors develop their personalized AI-enabled workflow.
  • Track tool usage, reliability, and cost.
Skills and Qualifications

Minimum qualifications:

  • Bachelor's degree or equivalent industry experience in computer science, engineering, or similar.
  • Experience developing productivity tools and best practices for large codebases.
  • Ability to communicate clearly and work with researchers to build and manage a variety of internal tools.

Preferred qualifications - we encourage you to apply even if you don't meet all preferred qualifications, but at least some:

  • Hands-on experience with container platforms (e.g. Docker/Kubernetes), modern CI (GitHub Actions/Buildkite), and package management tools (uv).
  • Practical experience with AI coding tools and model APIs (e.g. OSS via vLLM / SGLang / TGI).
  • Solid Linux/networking fundamentals; comfort with secrets management and safe egress.
  • Proficiency in systems programming languages (e.g. Rust) and scripting languages (e.g. Python).
Logistics
  • Location: This role is based in San Francisco, California. 
  • Compensation: Depending on background, skills and experience, the expected annual salary range for this position is $350,000 - $475,000 USD.
  • Visa sponsorship: We sponsor visas. While we can't guarantee success for every candidate or role, if you're the right fit, we're committed to working through the visa process together.
  • Benefits: Thinking Machines offers generous health, dental, and vision benefits, unlimited PTO, paid parental leave, and relocation support as needed.

Apply