Senior Director of Machine Learning, Fetch
Offers equity
Mobile shopping and rewards platform
Open for applications
Mobile shopping and rewards platform
1001+ employees
Open for applications
Offers equity
1001+ employees
Company mission
To empower consumers to live rewarded and help brands create lifelong customers through the power of Fetch Points.
Role
Who you are
- This role requires a leader who has operated at meaningful scale, brings deep technical judgment from prior hands-on experience, and can set direction across complex systems where user experience, partner performance, platform quality, and monetization must be balanced
- The ideal candidate understands the end-to-end ads, recommendations, or personalization funnel and has strong opinions on relevance, ranking quality, experimentation, optimization, and marketplace trade-offs
- 10+ years of experience in machine learning, software engineering, data science, or a related technical discipline
- 5+ years of experience leading teams, managers, or technical leaders in a high-scale technology environment
- Experience operating ML, ranking, ads, recommendations, personalization, or optimization systems at scale
- Deep experience with ads delivery, ranking, relevance, personalization, forecasting, pacing, marketplace quality, or optimization
- Strong technical foundation developed through prior hands-on experience as an engineer, ML practitioner, applied scientist, data scientist, or technical lead
- Proven ability to define technical direction across multiple teams, including system architecture, platform capability, and engineering leverage
- Strong judgment around ML system design, experimentation, model evaluation, ranking quality, marketplace dynamics, and technical trade-offs
- Experience influencing senior stakeholders and aligning cross-functional partners around technical priorities and business outcomes
- Experience coaching managers, technical leads, and senior ICs
- Track record of building inclusive, high-performing teams with strong ownership, engagement, and execution discipline
Desirable
- Experience leading ads delivery, ad ranking, ad relevance, ads infrastructure, or ads marketplace teams at a scaled consumer technology, retail media, marketplace, social, search, gaming, or ad tech company
- Experience with large-scale recommendations, personalization, retrieval and ranking systems, auction dynamics, yield optimization, or real-time decisioning platforms
- Experience with forecasting, pacing, budget optimization, campaign delivery, or performance prediction
- Experience working in a two-sided or multi-sided marketplace
- Familiarity with experimentation platforms, A/B testing, offline and online evaluation, causal measurement, model monitoring, and production ML operations
- Experience with modern ML tooling, feature platforms, real-time serving systems, distributed data processing, and cloud-based infrastructure
- Experience partnering with go-to-market or commercial teams on advertiser, brand, or partner-facing outcomes
- Experience scaling systems, teams, and processes in a high-growth environment
What the job involves
- Fetch is looking for a Senior Director, Machine Learning to lead the strategy and execution behind how we optimize and deliver offers and ads across the Fetch platform
- This leader will own a critical business and technical domain spanning ads delivery, ads infrastructure, ranking, relevance, forecasting, pacing, personalization, and optimization
- You will lead managers, technical leads, and senior ICs responsible for high-scale ML systems that power user engagement, advertiser outcomes, and business growth
- You will influence technical strategy across teams, coach leaders, and hold a high bar for delivery, technical rigor, and organizational health
- Own the machine learning strategy and execution for Fetch’s ads and offers optimization domain
- Lead teams responsible for ads delivery, ads infrastructure, ranking, relevance, forecasting, pacing, personalization, and optimization
- Define technical direction across multiple teams, systems, and stakeholders
- Translate ambiguous business problems into clear technical strategies, system-level decisions, and measurable execution plans
- Ensure architectural coherence, platform reliability, model quality, and operational excellence across the domain
- Partner with Product, Engineering, Data Science, Analytics, Sales, and business stakeholders to align ML investments with user experience, advertiser performance, and company growth
- Lead trade-off decisions involving relevance, pacing, yield, monetization, marketplace dynamics, latency, scalability, and long-term platform health
- Coach and develop managers, technical leads, and senior ICs to raise standards for technical judgment, execution, and team effectiveness
- Build scalable mechanisms for planning, hiring, performance management, technical review, and accountability
- Own domain-level outcomes across technical quality, product progress, business impact, delivery performance, and organizational health
Our take
Leading mobile shopping and loyalty platform Fetch has seen explosive success in recent years. Its concept is simple: users receive spendable points in exchange for scans of their shopping receipts.
The app has tens of millions of daily active users with even more downloads, and has seen impressive growth, having now reached 'unicorn' status twice over. This should come as no surprise. Brand reinforcement is crucial to customer retention and acquisition - but it is harder than ever, with the fragmentation of choice on the market and the declining efficacy of marketing. So material loyalty benefits are likely to prove a crucial tool in creating and leveraging a strong customer base.
Whilst Fetch faces competition from similar receipt-scan rewards platforms like ReceiptPal and Ibotta, it grew into a profitable company in late 2023. And its using its most recent Morgan Stanley-backed funding to aggressively add brand partners at a competitive pace and onboard staff at a level that promises strong continued growth.
Steph
Company Specialist at Welcome to the Jungle
Insights
10% employee growth in 12 months
Company
Funding (last 2 of 7 rounds)
Apr 2022
$120m
SERIES E
Mar 2021
$210m
SERIES D
Total funding: $456.6m
Company benefits
- Equity: Hop on the rocketship and have your own stake in Fetch's success with generous equity.
- 401k Match: Fetch matches 100% of the first 4% of your 401(k) contribution.
- People Benefits: Enjoy a competitive suite of ebenfits to promote health for you and your family,. Medical, Dental, and Vision insurance. Flexible Spending Accounts & Health Savings Account, with automatic employer HSA contributions per pay period. Family forming benefit with $10k lifetime stipend.
- Pet Benefits: We know your furry friends are family, too. Pet insurance is fully covered for your first pet.
- Continuing Education: Fetch provides $10,000+/year in education reimbursement support for job-related courses or programs.
- Flexible Paid Time Off: At Fetch, you'll plan your time off as you see fit with our flexible PTO policy. On top of our flexible PTO, Fetch observes 9 paid holidays as well as a year-end-week-long break.
- Robust Leave Policies: Fetch offers generous leave time for health and personal needs, including 20 weeks of parental leave for primary caregivers and 14 weeks for secondary caregivers + $2,000 incentive to assist employees with covering the cost of childcare, clothing, diapers and much more!
- Flexible Work Environment: Experience our beautiful work spaces, or get things done from the comfort of your couch. Choose what's best for each day.
Leadership
Wes Schroll
(Co-Founder & CEO)Co-founded Fetch while an undergrad at UW-Madison and grew the company into the nation's No. 1 rewards app, connecting millions of consumers with their favorite brands.
Tyler Kennedy
(Co-Founder & SVP of Operations)Studied Business Administration at the University of Wisconsin-Madison. Founded his first company, Baker's Marine Services, a yacht detailing company, when they were only fourteen.
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