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Senior Manager, Machine Learning Engineering - Ad Platform
Location
United States
Posted
1 day ago
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0
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Lead
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Job Description
Senior Manager, Machine Learning Engineering - Ad Platform
Fetch 📦
Role Description 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. Role Responsibilities: - 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. Qualifications - 8+ 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. Preferred Requirements - 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. Benefits - Competitive compensation packages including base, equity, and benefits.
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Whether you're building technology, serving clients, or supporting internal teams, you'll be part of a company that empowers you to perform at your best and be known for results. Compensation and Benefits: Compensation range: $202k - $230k We invest in the whole employee - personally and professionally. Our benefits package is designed to support your well-being, growth, and success - both inside and outside of work. Financial Wellness - Bonus programs - 401(k) match - Employee Stock Purchase Program (ESPP) - HSA and FSA options - Financial wellness resources and employee discount programs Health & Well-being - Medical, dental, and vision coverage - Mental health support for employees and dependents through Lyra Health - Family planning and women's health benefits through Carrot - Gym membership reimbursement and virtual wellness programs (including yoga) Time Off - 3 weeks PTO to start, with unlimited PTO after year one Growth & Development - Education expense reimbursement - Leadership development programs - Certified Payments Professional (CPP) certification support We believe great performance starts with feeling supported - and we've built our benefits with that in mind. Traditional Physical Requirements: - Requires prolonged sitting, standing, bending, stooping and stretching. - Requires the ability to lift 10 pounds. - Requires eye-hand coordination, manual dexterity and a normal range of hearing and vision (with or without correction). Join our team at Priority Technology Holdings, Inc. and be part of a dynamic and innovative company that is transforming the financial technology landscape. Together, we can shape the future of payments and banking solutions while providing unmatched value to our clients.

