Talent.com
Senior Engineering Manager, Applied Machine Learning
Senior Engineering Manager, Applied Machine LearningStrava • San Francisco, CA, United States
Senior Engineering Manager, Applied Machine Learning

Senior Engineering Manager, Applied Machine Learning

Strava • San Francisco, CA, United States
30+ days ago
Job type
  • Full-time
Job description

Senior Engineering Manager, Applied Machine Learning

Overview

Strava is the app for active people. With over 150 million athletes in more than 185 countries, Strava is where connection, motivation, and personal bests thrive. No matter your activity, gear, or goals, we help you find your crew, crush your milestones, and keep moving forward. Start your journey with Strava today.

Our mission is simple : to motivate people to live their best active lives. We believe in the power of movement to connect and drive people forward.

We are looking for a Senior Engineering Manager to lead our Applied AI and Machine Learning team at Strava. This team is responsible for building and productionalizing machine learning models and AI systems that power key Strava user experiences. These models provide value to our athletes across product surfaces with capabilities ranging from personalization, recommendations, search, and trust and safety.

This is a critical leadership role where you\'ll manage and grow a team of ML engineers. You\'ll be responsible for roadmapping, driving technical strategy for AI that support Strava across multiple product verticals and balancing innovative machine learning models with product impact from AI solutions at scale.

We follow a flexible hybrid model that translates to more than half of your time on-site in our San Francisco office — three days per week.

What You’ll Do

  • Build for a Well Loved Consumer Product : Work at the intersection of AI and fitness to launch and optimize product experiences that will be used by tens of millions of active people worldwide
  • Lead a High-Impact ML Team : Manage, mentor, and grow a team of machine learning engineers to deliver AI-powered experiences to users while fostering a collaborative culture across experience levels
  • Own End-to-End ML Strategy and Execution : Drive the roadmap for ML systems across Strava\'s platform, from initial model prototyping to production deployment, scaling, and optimization
  • Shape AI at Strava : Be a strategic voice in defining Strava\'s AI vision, leading cross-functional initiatives with Product and Engineering teams to deploy solutions across multiple product surfaces
  • Drive Innovation in AI for Fitness : Guide your team in designing and developing novel models and methodologies for unique fitness challenges, including recommendation systems, activity prediction, and personalized athlete insights
  • Building cross-functional partnerships : Develop strong relationships and effectively communicate with many cross-functional partners to identify highest leverage opportunities across product verticals
  • Championing team culture : Be passionate about developing your people and contributing positively to Strava\'s inclusive and collaborative culture, fostering an environment where your team can do their best work

What You’ll Bring to the Team

  • 3+ years of experience managing an AI / ML engineering team, with a proven track record of growing engineers and delivering complex technical projects.
  • Focus on applied ML solutions anchored user problems and business goals.
  • Demonstrated track record of solving complex, ambiguous machine learning problems and broken them down into strategies and tactical execution
  • Technical Experience building, shipping, and supporting ML models in production at scale for domains like recommendation systems, personalization or user understanding.
  • Interested in production ML model operational excellence and best practices, like automated model retraining, performance monitoring, feature logging, A / B testing, and scalable ML architecture.
  • Excellent communication and collaboration skills, with the ability to influence and align stakeholders across multiple engineering and product teams.
  • Compensation Overview

    At Strava, we know our employees are the most important ingredient to our success, and our compensation and total rewards programs reflect that. We take a market-based approach to pay, and pay may vary depending on the department and your location. Salary ranges are categorized into one of three tiers based on a cost of labor index for that geographic area. We will determine the candidate’s starting pay based on job-related skills, experience, qualifications, work location, and market conditions. We may modify these ranges in the future. For more information, please contact your talent partner.

    Compensation : $260,000-$310,000 . This range reflects base compensation only and does not include equity or benefits. Your recruiter can share more details about the full compensation package, including the range specific to your location, during the hiring process.

    For more information on benefits, please click here.

    Why Join Us?

    Movement brings us together. At Strava, we\u2019re building the world\'s largest community of active people, helping them stay motivated and achieve their goals.

    Our global team is passionate about making movement fun, meaningful, and accessible to everyone. Whether you\'re shaping the technology, growing our community, or driving innovation, your work at Strava makes an impact.

    When you join Strava, you\u2019re not just joining a company—you\u2019re joining a movement. If you\u2019re ready to bring your energy, ideas, and drive, let\u2019s build something incredible together.

    Strava builds software that makes the best part of our athletes\u2019 days even better. Just as we\u2019re deeply committed to unlocking their potential, we\u2019re dedicated to providing a world-class, inclusive workplace where our employees can grow and thrive, too. We\u2019re backed by Sequoia Capital, TCV, Madrone Partners and Jackson Square Ventures, and we\u2019re expanding in order to exceed the needs of our growing community of global athletes. Our culture reflects our community. We are continuously striving to hire and engage teammates from all backgrounds, experiences and perspectives because we know we are a stronger team together.

    Strava is an equal opportunity employer. In keeping with the values of Strava, we make all employment decisions including hiring, evaluation, termination, promotional and training opportunities, without regard to race, religion, color, sex, age, national origin, ancestry, sexual orientation, physical handicap, mental disability, medical condition, disability, gender or identity or expression, pregnancy or pregnancy-related condition, marital status, height and / or weight.

    We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

    Apply for this job

    indicates a required field

    #J-18808-Ljbffr

    Create a job alert for this search

    Engineering Manager Machine Learning • San Francisco, CA, United States

    Related jobs
    Senior Engineering Manager, Machine Learning - Tech Leader, Simplifying Access To Care

    Senior Engineering Manager, Machine Learning - Tech Leader, Simplifying Access To Care

    Andiamo • San Francisco, CA, United States
    Full-time +1
    Senior Engineering Manager, Machine Learning - Tech Leader, Simplifying Access To Care.Senior Engineering Manager, Machine Learning - Tech Leader, Simplifying Access To Care.Senior Engineering Mana...Show more
    Last updated: 19 days ago • Promoted
    Engineering Manager - Machine Learning Infrastructure

    Engineering Manager - Machine Learning Infrastructure

    Plaid Inc • San Francisco, CA, United States
    Full-time
    Plaid is evolving into an AI-first company, where data and machine learning are the key enablers of smarter, more secure insight products built on top of Plaid’s vast financial data network.The Mac...Show more
    Last updated: 25 days ago • Promoted
    Senior / Staff Applied Machine Learning Engineer

    Senior / Staff Applied Machine Learning Engineer

    Comfy • San Francisco, CA, United States
    Full-time
    We're looking for someone who loves optimizing model inference to join us in building the core of ComfyUI - the most complex and bleeding-edge part of our engine. You'll be working on making AI mode...Show more
    Last updated: 6 days ago • Promoted
    Senior Manager, AI Engineering

    Senior Manager, AI Engineering

    Pryon • San Francisco, California, United States, 94102
    Full-time
    Senior Manager, AI Engineering.Were a team of AI, technology, and language experts whose DNA lives in Alexa, Siri, Watson, and virtually every human language technology product on the market.Now we...Show more
    Last updated: 2 days ago
    Engineering Manager - AI Model Platform

    Engineering Manager - AI Model Platform

    Replicate, Inc. • San Francisco, CA, United States
    Full-time
    A startup in AI deployment is seeking an Engineering Manager to lead a team focused on developing production-ready generative models. You will coordinate team efforts, set clear goals, and foster co...Show more
    Last updated: 9 days ago • Promoted
    Engineering Manager, Machine Learning Operations

    Engineering Manager, Machine Learning Operations

    Pitchbook • San Francisco, CA, United States
    Full-time
    At PitchBook, we are always looking forward.We continue to innovate, evolve, and invest in ourselves to bring out the best in everyone. We’re deeply collaborative and thrive on the excitement, energ...Show more
    Last updated: 30+ days ago • Promoted
    Machine Learning Engineering Manager, Public Sector

    Machine Learning Engineering Manager, Public Sector

    Scale AI, Inc. • San Francisco, CA, United States
    Full-time
    At Scale, our Public Sector Machine Learning team develops and deploys cutting-edge AI systems into mission-critical government environments. From advanced computer vision pipelines to agentic LLM f...Show more
    Last updated: 30+ days ago • Promoted
    Senior Machine Learning Engineer

    Senior Machine Learning Engineer

    Troveo Ai • San Francisco, California, United States
    Full-time
    Troveo is building the next-generation data platform to train AI video models.Troveo offers the world’s largest library of AI video training data, featuring millions of hours of licensed video cont...Show more
    Last updated: 18 days ago • Promoted
    Senior Manager, Machine Learning Engineering

    Senior Manager, Machine Learning Engineering

    GoFundMe • San Francisco, CA, United States
    Full-time
    Senior Manager, Machine Learning Engineering.Want to help us help others? We’re hiring!.GoFundMe is the world’s most powerful community for good, dedicated to helping people help each other.By unit...Show more
    Last updated: 26 days ago • Promoted
    Senior Engineering Manager - Machine Learning and AI

    Senior Engineering Manager - Machine Learning and AI

    Rippling • San Francisco, CA, United States
    Full-time
    Senior Engineering Manager - Machine Learning and AI.Rippling gives businesses one place to run HR, IT, and Finance.It brings together all of the workforce systems that are normally scattered acros...Show more
    Last updated: 30+ days ago • Promoted
    Senior Applied ML Engineer

    Senior Applied ML Engineer

    Macroscope • San Francisco, California, United States
    Full-time
    Macroscope aims to be the source of truth of what's happening for any company that builds software.Our mission is to give leaders clarity and engineers time. We help leaders understand how their pro...Show more
    Last updated: 30+ days ago • Promoted
    ML Engineering Manager, Content Ranking

    ML Engineering Manager, Content Ranking

    Snap Inc. • San Francisco, CA, US
    Full-time
    A leading technology company based in San Francisco is seeking a Machine Learning Engineering Manager to lead the Content Ranking team. This role involves developing and optimizing the personalized ...Show more
    Last updated: 4 days ago • Promoted
    Senior Engineering Manager, Deep Learning

    Senior Engineering Manager, Deep Learning

    Hayden AI • San Francisco, CA, United States
    Full-time
    Senior Engineering Manager, Deep Learning.At Hayden AI, we are on a mission to harness the power of computer vision to transform the way transit systems and other government agencies address real‑w...Show more
    Last updated: 30+ days ago • Promoted
    Engineering Manager, Machine Learning

    Engineering Manager, Machine Learning

    TwelveLabs • San Francisco, CA, United States
    Full-time
    At TwelveLabs, we are pioneering the development of frontier multimodal foundation models that can see, hear and understand the world as humans do. Our models have redefined the standards in video-l...Show more
    Last updated: 30+ days ago • Promoted
    Machine Learning Engineering Manager - Asset Intelligence

    Machine Learning Engineering Manager - Asset Intelligence

    MaintainX • San Francisco, California, United States
    Full-time
    MaintainX is the world's leading Asset and Work Intelligence platform for industrial and frontline environments.We are a modern IoT‑enabled cloud‑based tool for reliability, safety, and operations ...Show more
    Last updated: 4 days ago • Promoted
    Director / Senior Director, Machine Learning and Engineering

    Director / Senior Director, Machine Learning and Engineering

    dimensioncap.com • Berkeley, CA, United States
    Full-time
    Kimia Therapeutics is building a next-generation drug discovery engine that combines a unique physical platform for high-throughput chemistry and screening with state-of-the-art computational appro...Show more
    Last updated: 30+ days ago • Promoted
    ML Engineering Manager II - Core Systems (Remote)

    ML Engineering Manager II - Core Systems (Remote)

    Pinterest • San Francisco, CA, United States
    Remote
    Full-time
    A leading social media platform is looking for a Machine Learning Engineer Engineering Manager II to drive technical direction and lead a high-performing team. Responsibilities include managing ML p...Show more
    Last updated: 11 days ago • Promoted
    Senior Machine Learning Engineer - Autotuning

    Senior Machine Learning Engineer - Autotuning

    Zoox • Foster City, California, United States
    Full-time
    Zoox is looking for machine learning engineers to help build systems to evaluate and improve autonomous driving behaviors by learning from expert human drivers. Our team develops core technologies t...Show more
    Last updated: 30+ days ago • Promoted