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Fetch Rewards gives shoppers an easy and fun way to save on their everyday purchases.
The Role
Lead and grow a team of ML engineers building production ML systems for Fetch's Ad Platform. Translate product strategy into roadmaps, guide design and implementation of models for ranking, targeting, bidding and forecasting, set metrics and experimentation, enforce architectural and operational standards, manage trade-offs across performance and reliability, and drive cross-functional alignment to improve advertiser and member outcomes.
Summary Generated by Built In
What we’re building and why we’re building it.
Fetch helps people live rewarded every day, with a vision to become the rewards destination for everyone. We turn everyday activities into meaningful rewards, whether it’s grocery shopping, grabbing a quick meal, or playing a favorite mobile game. To date, we’ve awarded more than $1 billion in Fetch Points to our users.
Each day, more than 13 million receipts are submitted on Fetch, providing visibility into over $212 billion in gross merchandise value. This creates the largest retail-agnostic, SKU-level view of household spending, powering Fetch as an outcomes-based advertising platform that helps brands acquire and retain lifelong consumers.
The Fetch app is available on the App Store and Google Play, with more than 6 million five-star reviews from a highly engaged and loyal user base.
It’s not just our users who believe in Fetch: with investments from Softbank, ICONIQ, DST, Greycroft, and partnerships ranging from challenger brands to Fortune 500 companies, Fetch is reshaping how brands and consumers connect in the marketplace. When you work at Fetch, you play a vital role in a platform that drives brand loyalty and creates lifelong consumers with the power of Fetch points. User and partner success are at the heart of everything we do, and we extend that same commitment to our employees.
At Fetch, we value curiosity, adaptability, and the confidence to explore new tools, especially AI, to drive smarter, faster work. You don’t need to be an expert, but you should be ready to learn quickly and think critically. We welcome learners who move fast, challenge the status quo, and shape what’s next, with us. Ranked as one of America’s Best Startup Employers by Forbes for two years in a row, Fetch fosters a people-first culture rooted in trust, accountability, and innovation. We encourage our employees to challenge ideas, think bigger, and always bring the fun to Fetch.
Meet Fetch EngineeringAt Fetch, engineering is driven by curiosity, ownership, and a bias toward action. We operate in complex problem spaces where the right answer is not always clear, and success depends on adaptability, critical thinking, and informed decision-making. Our engineers are comfortable navigating ambiguity, understanding tradeoffs, gathering context, and turning uncertainty into progress while maintaining high technical standards.
Engineers at Fetch take pride in building reliable, scalable systems that serve millions of users. You will contribute directly to the codebase, collaborate closely with cross-functional partners, and help shape best practices that elevate the quality of our work. We foster a culture of mentorship and collaboration, where engineers grow by learning from one another and holding a high bar for quality, reliability, and impact.
Fetch is looking for a Senior Manager of Machine Learning Engineering to lead the team building and scaling machine learning capabilities across our Ad Platform. You will partner with Product, Data Science, Engineering, and business stakeholders to translate strategy into a measurable roadmap that improves advertiser outcomes, member experience, and marketplace performance.
You will lead engineers through ambiguous, business-critical problems while maintaining a strong balance between product delivery, model quality, reliability, scalability, and long-term technical health.
- Lead and develop a team of machine learning engineers responsible for business-critical Ad Platform systems.
- Translate product and technical strategy into quarterly and annual roadmaps with measurable product, technical, and delivery outcomes.
- Guide the development of ML solutions for areas such as ad ranking, targeting, bidding, inventory forecasting, optimization, and measurement.
- Partner with Product, Data Science, Analytics, and Engineering teams to define success metrics, experimentation strategies, and technical priorities.
- Make sound trade-offs across delivery speed, model performance, scalability, reliability, maintainability, and technical debt.
- Raise the engineering bar through strong design reviews, code reviews, operational ownership, and architectural standards.
- Proactively identify technical and organizational risks before they constrain delivery or platform growth.
- Coach engineers on system design, technical decision-making, execution, and career development.
- Use data, experiments, incidents, system performance, and delivery metrics to guide priorities and improve team effectiveness.
- Drive alignment and execution across teams with shared systems, goals, and dependencies.
- 6+ years of experience in software engineering, machine learning engineering, or a related technical field, including 2+ years managing and developing engineering teams.
- Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field, or equivalent practical experience.
- Experience managing and developing machine learning or software engineers in a product-focused environment.
- Strong technical background building and operating production machine learning systems at scale.
- Experience translating business and product objectives into technical roadmaps and measurable outcomes.
- Strong understanding of the ML lifecycle, including data quality, feature development, training, evaluation, deployment, monitoring, and iteration.
- Experience making technical trade-offs involving model quality, latency, scalability, reliability, and maintainability.
- Ability to lead teams through medium-to-high ambiguity and complex cross-functional dependencies.
- Demonstrated experience coaching senior engineers and raising technical and operational standards.
- Strong communication and stakeholder-management skills, including the ability to influence without direct authority.
- Proficiency with Python and SQL and experience with modern machine learning frameworks and cloud-based data or ML systems.
- Experience establishing accountability for both delivery outcomes and the long-term technical health of owned systems.
- Master’s degree or Ph.D. in Computer Science, Machine Learning, Artificial Intelligence, Data Science, Engineering, or a related technical field.
- Experience building machine learning systems for advertising, recommendations, ranking, personalization, or marketplace optimization.
- Familiarity with ad auction dynamics, bidding, targeting, inventory forecasting, attribution, and campaign measurement.
- Experience leading teams responsible for low-latency, high-scale production systems.
- Strong understanding of experimentation, causal inference, and incrementality measurement.
- Experience with modern MLOps practices, feature platforms, model monitoring, and automated training and deployment pipelines.
- Experience working with large-scale data processing and distributed systems.
- Demonstrated success leading cross-team technical initiatives in a rapidly evolving product environment.
This is a full-time role that can be held from one of our US offices or remotely in the United States.
Compensation: At Fetch, we offer competitive compensation packages including base, equity, and benefits to the exceptional folks we hire. Discover our benefits and how our employees live rewarded at https://fetch.com/careers.
At Fetch, we'll give you the tools to feel healthy, happy and secure through:
- Equity: We offer full-time employees equity in Fetch, so that everyone can benefit from Fetch’s growth.
- 401k Match: Dollar-for-dollar match up to 4%.
- Benefits for humans and pets: We offer comprehensive medical, dental and vision plans for everyone including your pets.
- Continuing Education: Fetch provides ten thousand per year in education reimbursement.
- Employee Resource Groups: Take part in employee-led groups that are centered around fostering a diverse and inclusive workplace through events, dialogue and advocacy. The ERGs participate in our Inclusion Council with members of executive leadership.
- Paid Time Off: On top of our flexible PTO, Fetch observes 9 paid holidays, as well as our year-end week-long break.
- Robust Leave Policies: 20 weeks of paid parental leave for primary caregivers, 14 weeks for secondary caregivers, and a flexible return to work schedule.
- Calvin Care Cash: Employees who are welcoming new family members will also receive a one time $2,000 incentive to assist employees with covering the cost of childcare, clothing, diapers and much more!
- Flexible Work Environment: Collaborate with your team in one of our stunning offices, or you can work fully remotely from anywhere in the US. We’ll ensure you are equally equipped with the hardware and software you need to get your job done in the comfort of your home. (applicable for most roles)
Fetch is an equal opportunity employer that embraces diversity, inclusion, and respect for all individuals. We do not discriminate on the basis of race, color, religion, gender, gender identity or expression, sexual orientation, age, national origin, marital status, veteran status, disability, or any other characteristic protected by applicable law. Our commitment to inclusivity ensures that everyone is treated with dignity and has the opportunity to succeed based on their talent, skills, and potential.
Fetch also provides reasonable accommodations to qualified individuals with disabilities or those with sincerely held religious beliefs, as required by law. If you need assistance with the application process or require an accommodation, please contact us at [email protected].
Skills Required
- 8+ years of experience in software engineering, machine learning engineering, or related technical field, including 2+ years managing and developing engineering teams
- Bachelor's degree in Computer Science, Engineering, Data Science, or related field, or equivalent practical experience
- Experience managing and developing machine learning or software engineers in a product-focused environment
- Strong technical background building and operating production machine learning systems at scale
- Experience translating business and product objectives into technical roadmaps and measurable outcomes
- Strong understanding of the ML lifecycle including data quality, feature development, training, evaluation, deployment, monitoring, and iteration
- Experience making technical trade-offs involving model quality, latency, scalability, reliability, and maintainability
- Ability to lead teams through medium-to-high ambiguity and complex cross-functional dependencies
- Demonstrated experience coaching senior engineers and raising technical and operational standards
- Strong communication and stakeholder-management skills, including ability to influence without direct authority
- Proficiency with Python and SQL and experience with modern machine learning frameworks and cloud-based data or ML systems
- Experience establishing accountability for both delivery outcomes and the long-term technical health of owned systems
- Master's degree or Ph.D. in Computer Science, Machine Learning, AI, Data Science, Engineering, or related technical field
- Experience building ML systems for advertising, recommendations, ranking, personalization, or marketplace optimization
- Familiarity with ad auction dynamics, bidding, targeting, inventory forecasting, attribution, and campaign measurement
- Experience leading teams responsible for low-latency, high-scale production systems
- Strong understanding of experimentation, causal inference, and incrementality measurement
- Experience with modern MLOps practices, feature platforms, model monitoring, and automated training and deployment pipelines
- Experience working with large-scale data processing and distributed systems
- Demonstrated success leading cross-team technical initiatives in a rapidly evolving product environment
Fetch Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Fetch and has not been reviewed or approved by Fetch.
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Healthcare Strength — Benefits information points to comprehensive medical, dental, vision, and life insurance coverage. Feedback suggests employees value the strong health offerings alongside mental-health support.
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Leave & Time Off Breadth — Policies include flexible or unlimited PTO, paid holidays and sick days, bereavement (including pet) and natural-disaster leave. Feedback suggests time-off breadth is a standout element of the package.
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Wellbeing & Lifestyle Benefits — Wellness programs, 1:1 coaching, Gympass, team workouts, and nutrition counseling are provided. Office and remote perks such as home-office stipends, snacks, and pet-friendly spaces further enhance lifestyle support.
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The Company
What We Do
Fetch Rewards is a mobile app that connects and rewards everyday shoppers for buying the brands they love. Fetch gives users the easiest way to save on their purchases by simply scanning any grocery receipt, from any store. For our brand partners, Fetch helps them build long-term loyalty, and understand a true 360 degree view of purchase behavior.
Why Work With Us
We put people first - both in our culture, and in our product. Our culture is built on transparency, empowerment and accountability. Our product is built on putting our customers first in everything we do - from design, to privacy and security, to new features. The result is the rapid growth we all dream of being a part of. Come join the team!
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