Engineering Leader, ML Platform

Attentive® is the AI marketing platform for 1:1 personalization redefining the way brands and people connect. We're the only marketing platform that combines powerful technology with human expertise to build authentic customer relationships. By unifying SMS, RCS, email, and push notifications, our AI-powered personalization engine delivers bespoke experiences that drive performance, revenue, and loyalty through real-time behavioral insights.Recognized as the #1 provider in SMS Marketing by G2, Attentive partners with more than 8,000 customers across 70+ industries. Leading global brands like Crate and Barrel, Urban Outfitters, and Carter's work with us to enable billions of interactions that power tens of billions in revenue for our customers.With a distributed global workforce and employee hubs in New York City, San Francisco, London, and Sydney, Attentive's team has been consistently recognized for its performance and culture. We're proud to be included in Deloitte's Fast 500 (four years running!), LinkedIn's Top Startups, Forbes' Cloud 100 (five years running!), Inc.'s Best Workplaces, and the Human Rights Campaign Foundation's Corporate Equality Index!About the RoleAttentive is building the next generation of ML-driven personalization and decisioning for messaging and marketing. We are looking for an ML Platform Engineering Manager to build and lead our Machine Learning Platform team. This team owns the foundational systems that enable our ML engineers and data scientists to train, deploy, and maintain production-grade ML models at massive scale. You will define the platform roadmap, hire and grow the team, and deliver the tooling and infrastructure that makes ML work repeatable, observable, and easy to operate at scale. This role reports directly to the Head of Machine Learning.What You'll AccomplishBuild and lead the ML Platform team (hiring, coaching, execution bar)Own the end-to-end ML platform roadmap and delivery: training + evaluation infrastructure, feature management, and standardized ML workflowsShip a clear "golden path" for ML development: CI/CD, champion/challenger rollouts, experimentation, model registry, and automated re-trainingEnable massively scalable deployments (batch and near-real-time), including rollout patterns (shadow/canary), robust contracts, and operational readiness (SLOs, runbooks, on-call)Lead ML observability and debugging across the stack (data quality, drift, performance, latency, cost), leveraging Ray + AnyScalePartner across ML Eng, Data Science, Analytics Eng, and Infrastructure to increase velocity and develop a world-class standard for Machine Learning integrationsDrive cost and capacity efficiency for distributed compute (scheduling, resource governance, spend visibility)Your Expertise6+ years in software/data/ML-infra engineering, including 2+ years people management; experience building shared platforms adopted by multiple ML teamsStrong distributed systems + cloud fundamentals; comfortable owning reliability (SLOs, incidents, on-call maturity)Production ML platform experience across the lifecycle: feature pipelines, training/eval, deployment, and monitoringSnowflake-native experience for modeling-ready data and feature management (data modeling, backfills, point-in-time correctness, governance/lineage) nice to haveHands-on experience with distributed computing (Ray, Spark, Dask) with Ray and/or AnyScale for distributed workloads and observabilityFamiliar with orchestration (Metaflow, Airflow, Dagster, etc., data transformation pipelines (dbt), containerization (Docker/Kubernetes), and modern CI/CD practicesExperience with ML observability and lifecycle management (MLflow)Clear technical leadership: roadmap setting, stakeholder alignment, and ability to get into the weeds when neededYou'll get competitive perks and benefits, from health & wellness to equity, to help you bring your best self to work.For US based applicants:The US base salary range for this full-time position is $227,000 - $300,000 annually+ equity + benefitsOur salary ranges are determined by role, level and location#LI-EZ1 #LI-HYRBRID By applying for this position, your data will be processed as per Attentive's Privacy Policy.Attentive Company ValuesDefault to Action - Move swiftly and with purposeBe One Unstoppable Team - Rally as each other's championsChampion the Customer - Our success is defined by our customers' successAct Like an Owner - Take responsibility for Attentive's successLearn more about AWAKE, Attentive's collective of employee resource groups.If you do not meet all the requirements listed here, we still encourage you to apply! No job description is perfect, and we may also have another opportunity that closely matches your skills and experience.At Attentive, we know that our Company's strength lies in the diversity of our employees. Attentive is an Equal Opportunity Employer and we welcome applicants from all backgrounds. Our policy is to provide equal employment opportunities for all employees, applicants and covered individuals regardless of protected characteristics. We prioritize and maintain a fair, inclusive and equitable workplace free from discrimination, harassment, and retaliation. Attentive is also committed to providing reasonable accommodations for candidates with disabilities. If you need any assistance or reasonable accommodations, please let your recruiter know.

Created: 2026-04-02