Fetch
Senior Director, Machine Learning
USA · Director · Full-time
Sponsorship not specifiedDetected 75 days ago
Machine LearningData EngineeringData ScienceMLOpsA/B TestingForecastingPerformance ManagementMentoring
About the role
- 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.
- You will influence technical strategy across teams, coach leaders, and hold a high bar for delivery, technical rigor, and organizational health.
- Define technical direction across multiple teams, systems, and stakeholders.
Responsibilities
- Lead teams responsible for ads delivery, ads infrastructure, ranking, relevance, forecasting, pacing, personalization, and optimization.
- Partner with Product, Engineering, Data Science, Analytics, Sales, and business stakeholders to align ML investments with user experience, advertiser performance, and company growth.
- 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.
- This leader will own a critical business and technical domain spanning ads delivery, ads infrastructure, ranking, relevance, forecasting, pacing, personalization, and optimization.
Requirements
- 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.
- Proven ability to define technical direction across multiple teams, including system architecture, platform capability, and engineering leverage.
- 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.
Compensation
- At Fetch, we offer competitive compensation packages including base salary, equity, and benefits to the exceptional folks we hire.
Benefits
- Lead trade-off decisions involving relevance, pacing, yield, monetization, marketplace dynamics, latency, scalability, and long-term platform health.
- Own domain-level outcomes across technical quality, product progress, business impact, delivery performance, and organizational health.
- Own the machine learning strategy and execution for Fetch's ads and offers optimization domain.
- 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.
- Discover our benefits and how our employees live rewarded at https://fetch.com/careers.
This listing is sourced directly from Fetch's careers page and normalized into a canonical job model.