Lead the technical vision and execution of ML-powered products, scaling personalization, recommendation systems, generative AI, and large-scale ML infrastructure. Build and mentor a high-performing ML team while driving business impact through pragmatic innovation and engineering excellence. Shape ML strategy for a high-growth tech company with significant ownership and long-term influence.
Key Highlights
Senior leadership role shaping ML initiatives across personalization, recommendations, generative AI, and identity resolution
Ownership of ML product roadmap, scalable infrastructure, and team growth with mentorship and hiring responsibilities
Fully remote role with competitive compensation ($230K–$400K USD) and meaningful equity in a remote-first environment
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Key Responsibilities
Lead the technical vision, roadmap, and execution of ML-powered products balancing innovation with pragmatic engineering decisions
Oversee scalable ML infrastructure for model training and inference, ensuring reliability and operational excellence
Build and grow the ML organization by identifying hiring needs, designing evaluation processes, and attracting top talent
Mentor engineers and managers, foster a collaborative team culture, and drive career development
Partner with product and engineering leadership to identify high-value ML opportunities with measurable business impact
Technical Skills Required
Machine Learning
Recommendation Systems
Large-Scale ML Infrastructure
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Benefits & Perks
Competitive annual salary range of $230,000–$400,000 USD
Meaningful equity compensation
Fully remote work environment across North America
Job Description
This is a senior engineering leadership role responsible for shaping and advancing machine learning initiatives across a high-growth technology environment. You will lead the development of ML-powered products that help businesses make smarter, more personalized customer engagement decisions. The role combines technical leadership, product strategy, team building, and hands-on influence over engineering standards. You will tackle complex challenges spanning personalization, recommendation systems, identity resolution, generative AI, and large-scale ML infrastructure. Working closely with engineering and product stakeholders, you will establish a strong technical vision while maintaining a pragmatic focus on business impact. This is an opportunity to build and scale an emerging ML function with significant ownership and long-term influence.
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