Evaluation Manager Jobs
Evaluation Manager jobs are open across government agencies, nonprofits, healthcare, and education, at every level from program associate to senior director, with specializations in program evaluation, policy analysis, and performance measurement. Scan the live roles below and apply to whichever ones fit.
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Showing 5 of 63+ Evaluation Manager jobs
DESCRIPTION
In this role, you will own robot evaluation operations end to end, in lab and home environments. Our scientists define what to measure; you make it happen at scale, on schedule, and with results the team can trust. You will turn evaluation requests from science and engineering into planned campaigns, keep robots, test environments, and operators ready, and deliver results that leaders use to decide what ships. You will treat evaluation as a production operation with measurable output, not a support function.
Key job responsibilities
- Own the evaluation program from intake to results: take requests from science and engineering teams, prioritize them against shared robot and lab capacity, and publish the campaign schedule
- Run evaluation campaigns in lab and home environments, with clear entry and exit criteria and standard run procedures
- Build and maintain the physical test environments: home-like lab setups, object and fixture inventories, scene resets, and versioned configurations so results stay comparable across software releases and robot hardware revisions
- Stand up in-home evaluation operations with legal, privacy, safety, and research partners, including scheduling, data handling, and on-site safety procedures
- Direct the work of evaluation operators and vendor teams: training and certification, shift coverage, and scoring standards that stay consistent across raters and sites
- Partner with hardware and fleet teams on robot availability for testing, including maintenance windows, repairs, and per-unit acceptance runs
- Enforce logging and traceability standards so every evaluation trial is reproducible and accounted for
- Deliver results as a product: standard scorecards and dashboards, triage of failures to the right owning team, and evidence that feeds launch and release go/no-go decisions
- Track throughput, valid-trial yield, cost per trial, and turnaround time, own the evaluation budget, and identify manual evaluations that are ready for automation or simulation
- Present evaluation status, risks, and tradeoffs to senior leadership, and say “not yet” when demand exceeds capacity
About the team
Fauna Robotics, an Amazon company, is building capable, safe, and genuinely delightful robots for everyday life. Our goal is simple: make robots people actually want to live and interact with in everyday human spaces.
We believe that future won’t arrive until building for robotics becomes far more accessible. Today, too much effort is spent reinventing the fundamentals. We’re changing that by developing tightly integrated hardware and software systems that make it faster, safer, and more intuitive to create real-world robotic products.
Our work spans the full stack: mechanical design, control systems, dynamic modeling, and intelligent software. The focus is not just functionality, but experience. We’re building robots that feel responsive, expressive, and genuinely useful.
At Fauna, you’ll work at the frontier of this space, helping define how robots move, manipulate, and interact with people in natural environments. It’s an opportunity to solve hard problems across hardware and software with a team focused on making robotics accessible and joyful to build.
If you care about making robotics real for everyone and building systems that are as delightful as they are capable, we’re interested in hearing from you.
BASIC QUALIFICATIONS
- 5+ years of technical product or program management experience
- 7+ years of working directly with engineering teams experience
- Experience managing programs across cross functional teams, building processes and coordinating release schedules
- Bachelor's degree in Computer Science, Engineering, a related field, or equivalent experience
- Experience running test, validation, evaluation, or field operations programs for physical products such as robots, autonomous vehicles, or consumer devices
- Experience managing vendors, contractors, or operations teams that execute work on a schedule
PREFERRED QUALIFICATIONS
- Experience evaluating machine learning models or robot policies, or running data collection operations for robot learning
- Experience providing evidence for Go/No-Go or launch-readiness decisions
- Experience running tests in homes or with members of the public, including privacy and safety procedures
- Familiarity with experiment design and statistics, such as trial counts, confidence intervals, and scoring consistency across raters
- Ability to analyze data with SQL or Python and build dashboards
- Experience with simulation-based testing or hardware-in-the-loop test programs
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, NY, New York - 163,600.00 - 221,300.00 USD annually
DESCRIPTION
In this role, you will own robot evaluation operations end to end, in lab and home environments. Our scientists define what to measure; you make it happen at scale, on schedule, and with results the team can trust. You will turn evaluation requests from science and engineering into planned campaigns, keep robots, test environments, and operators ready, and deliver results that leaders use to decide what ships. You will treat evaluation as a production operation with measurable output, not a support function.
Key job responsibilities
- Own the evaluation program from intake to results: take requests from science and engineering teams, prioritize them against shared robot and lab capacity, and publish the campaign schedule
- Run evaluation campaigns in lab and home environments, with clear entry and exit criteria and standard run procedures
- Build and maintain the physical test environments: home-like lab setups, object and fixture inventories, scene resets, and versioned configurations so results stay comparable across software releases and robot hardware revisions
- Stand up in-home evaluation operations with legal, privacy, safety, and research partners, including scheduling, data handling, and on-site safety procedures
- Direct the work of evaluation operators and vendor teams: training and certification, shift coverage, and scoring standards that stay consistent across raters and sites
- Partner with hardware and fleet teams on robot availability for testing, including maintenance windows, repairs, and per-unit acceptance runs
- Enforce logging and traceability standards so every evaluation trial is reproducible and accounted for
- Deliver results as a product: standard scorecards and dashboards, triage of failures to the right owning team, and evidence that feeds launch and release go/no-go decisions
- Track throughput, valid-trial yield, cost per trial, and turnaround time, own the evaluation budget, and identify manual evaluations that are ready for automation or simulation
- Present evaluation status, risks, and tradeoffs to senior leadership, and say “not yet” when demand exceeds capacity
About the team
Fauna Robotics, an Amazon company, is building capable, safe, and genuinely delightful robots for everyday life. Our goal is simple: make robots people actually want to live and interact with in everyday human spaces.
We believe that future won’t arrive until building for robotics becomes far more accessible. Today, too much effort is spent reinventing the fundamentals. We’re changing that by developing tightly integrated hardware and software systems that make it faster, safer, and more intuitive to create real-world robotic products.
Our work spans the full stack: mechanical design, control systems, dynamic modeling, and intelligent software. The focus is not just functionality, but experience. We’re building robots that feel responsive, expressive, and genuinely useful.
At Fauna, you’ll work at the frontier of this space, helping define how robots move, manipulate, and interact with people in natural environments. It’s an opportunity to solve hard problems across hardware and software with a team focused on making robotics accessible and joyful to build.
If you care about making robotics real for everyone and building systems that are as delightful as they are capable, we’re interested in hearing from you.
BASIC QUALIFICATIONS
- 5+ years of technical product or program management experience
- 7+ years of working directly with engineering teams experience
- Experience managing programs across cross functional teams, building processes and coordinating release schedules
- Bachelor's degree in Computer Science, Engineering, a related field, or equivalent experience
- Experience running test, validation, evaluation, or field operations programs for physical products such as robots, autonomous vehicles, or consumer devices
- Experience managing vendors, contractors, or operations teams that execute work on a schedule
PREFERRED QUALIFICATIONS
- Experience evaluating machine learning models or robot policies, or running data collection operations for robot learning
- Experience providing evidence for Go/No-Go or launch-readiness decisions
- Experience running tests in homes or with members of the public, including privacy and safety procedures
- Familiarity with experiment design and statistics, such as trial counts, confidence intervals, and scoring consistency across raters
- Ability to analyze data with SQL or Python and build dashboards
- Experience with simulation-based testing or hardware-in-the-loop test programs
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, NY, New York - 163,600.00 - 221,300.00 USD annually
Evaluation Manager Jobs by Experience Level
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Find Evaluation Manager JobsEvaluation Manager Job Market
Who's Hiring
Top Industries Hiring
- Retail
- Technology & Software
- Electronics & Hardware
- Artificial Intelligence
- Transportation & Logistics
What Employers Look For
The qualifications that appear most often in evaluation manager jobs.
- Master's degree in public policy, social sciences, public health, or a related field
- Experience designing and managing program evaluations using qualitative and quantitative methods
- Proficiency in statistical software such as SPSS, Stata, R, or SAS
- Demonstrated ability to present evaluation findings to non-technical stakeholders and leadership
- Familiarity with logic model development and performance measurement frameworks
- Experience managing evaluation contracts, vendors, or external evaluation teams
Tips for Your Evaluation Manager Job Search
Tailor your resume to evaluation frameworks
Hiring managers scan for the specific frameworks you've used, such as logic models, developmental evaluation, or utilization-focused approaches. Name the frameworks explicitly in your work history, not just in a skills list, so reviewers can see them in context.
Apply early to roles that fit
Migrate Mate lists evaluation manager openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Highlight mixed-methods data experience clearly
Many postings require both qualitative and quantitative skills, but candidates often undersell one side. Call out specific tools you've used for each, such as statistical software for quantitative work and coding approaches for qualitative analysis, so reviewers see the full range.
Filter openings by sector before applying
Evaluation manager roles differ significantly across federal agencies, foundations, consulting firms, and direct-service nonprofits. Decide which sector fits your background and focus your applications there first so your cover letter and resume read as a natural fit rather than a stretch.
Prepare a portfolio of evaluation reports or briefs
Interviewers for evaluation roles often ask to see work samples before or during the process. Have two or three anonymized evaluation reports, executive summaries, or data visualizations ready to share so you can respond immediately when asked without scrambling.
Negotiate scope alongside salary at the offer stage
Evaluation managers frequently find that the actual evaluation budget, team size, and stakeholder access differ from what the job description implied. Ask directly about those specifics during offer discussions so you know what resources you're actually committing to deliver against.
Evaluation Manager Jobs: Frequently Asked Questions
Which companies are hiring the most evaluation managers?
The companies hiring the most evaluation managers right now include Apple, General Motors (GM), and Meta, with the largest share of openings in California, Texas, and Ohio, based on current listings on Migrate Mate as of November 2026. Demand is especially concentrated in organizations running federally funded programs or large-scale community initiatives.
How many evaluation manager jobs are remote?
About 70% of evaluation manager openings are fully remote or hybrid as of November 2026, reflecting how much of the work centers on data analysis, report writing, and virtual stakeholder meetings rather than on-site fieldwork. Roles tied to direct community data collection or government contracts with in-person requirements tend to have stricter location expectations.
How do you become an evaluation manager?
Start with a graduate degree in a field that builds research methods skills, such as public policy, social work, public health, or education. Then gain hands-on evaluation experience as a program analyst, research associate, or evaluation specialist, working on full evaluation cycles from design through dissemination. Build proficiency in both qualitative and quantitative analysis tools, and develop a portfolio of evaluation reports that demonstrate independent judgment and stakeholder communication.
Can you get hired as an evaluation manager with little experience?
Some organizations, particularly growing nonprofits and consulting firms, hire candidates into evaluation manager roles with limited direct experience if they have strong research methods training and have led at least one evaluation project end to end, even if that project was during graduate school or a fellowship. Framing your academic or volunteer evaluation work as full project ownership, including design, data collection, analysis, and reporting, is what moves a thin resume past the screening stage.
What does the evaluation manager interview process look like?
Most employers start with a phone or video screen focused on your evaluation methodology background and how you've managed stakeholder relationships. A technical or skills assessment often follows, asking you to review a logic model, critique an evaluation design, or interpret a dataset. Final rounds typically involve a panel of program staff and leadership and may include a presentation of a past evaluation project, so having a polished work sample ready matters.
Where can I find and apply to evaluation manager jobs?
You can find and apply to evaluation manager jobs on Migrate Mate, which lists current openings from across the United States. Search the roles that match your specialization and experience level, then apply directly to each listing that fits your background and goals.
See All 63 Evaluation Manager Jobs
Find roles that match your experience and apply in just a few clicks.
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