Engineering Manager, WHOOP
Sensor Intelligence, Edge Artificial Intelligence
$150-210k
Offers equity
Wearable health and fitness devices
Open for applications
Wearable health and fitness devices
1001+ employees
Open for applications
$150-210k
Offers equity
1001+ employees
Company mission
To unlock human performance and Healthspan.
Role
Who you are
- Proven experience as a technical leader managing multiple teams or a growing engineering organization
- Experience growing high level individual contributor career growth at the staff level or higher
- 5+ years of industry experience in signal processing, machine learning, embedded systems, or a closely related field, including 2+ years in a people management or technical lead role with mentorship responsibilities
- Strong programming proficiency in C and/or C++, with additional experience in Python or similar languages for prototyping and model development
- Hands-on experience developing and optimizing machine learning models or algorithms for embedded, including deployment on devices with limited compute, memory, and power budgets
- Proven ability to lead projects end-to-end, collaborating with cross-functional partners and balancing technical tradeoffs against product and business needs
- Excellent written and verbal communication skills, with a track record of conveying complex technical topics to diverse audiences and aligning stakeholders around decisions
- Passion for building high-performing teams, fostering growth, and creating systems that scale to power WHOOP’s mission
- Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience
What the job involves
- We are seeking an Engineering Manager, Sensor Intelligence (Edge AI) to lead a team of embedded machine learning engineers building scalable algorithms deployable on constrained edge devices
- Your team will design, optimize, and maintain ML algorithms that run directly on WHOOP wearables devices, transforming raw physiological signals into robust, real-time insights
- As a leader, you will combine technical depth in edge/embedded ML with strong people management skills
- You will set direction, drive execution, and partner closely with cross-functional teams to ensure WHOOP’s edge intelligence is accurate, efficient, and reliable in real-world conditions
- Lead and Develop a High-Performing Team: Manage, mentor, and support Sensor Intelligence Engineers focused on embedded ML, providing regular feedback, coaching, and clear growth paths
- Own Edge-Deployed Algorithms: Oversee the design, implementation, and maintenance of machine learning algorithms running on WHOOP’s wearable platform, ensuring they perform reliably on resource-constrained devices
- Collaborate with Cross-Functional Partners: Work closely with Data Science, WHOOP Labs, Firmware, Software, and Product to define requirements, integration points, and success metrics for edge-deployed algorithms
- Optimize for Performance and Power: Lead the team in balancing accuracy, latency, memory usage, and power consumption, including the use of techniques such as model compression, quantization, and efficient architectures
- Champion Engineering Rigor: Establish and uphold best practices for testing, code quality, documentation, and observability for algorithms deployed on embedded platforms
- Contribute to Technical Strategy: Help define the roadmap and long-term strategy for edge AI at WHOOP, including platform capabilities, tooling, and approaches for safely updating models in the field
- Support Recruiting and Org Building: Partner with recruiting to attract and hire top embedded ML talent, and help shape the culture and operating model of the Sensor Intelligence Group
Our take
WHOOP develops wearable health-tracking devices designed to help athletes optimise their performance. Its technology continuously monitors recovery, sleep, and training hours to fine-tune both individual and team performance. Unlike competitors that primarily track exercise data, WHOOP's holistic approach includes metrics like heart rate variability, which can influence more effective and healthier exercise routines.
By focusing on a subscription model that includes the cost of the physical device, WHOOP differentiates itself from competitors that charge a higher one-time fee for their products. This model provides ongoing value and encourages users to stay engaged with their health data.
WHOOP's comprehensive monitoring of strain and recovery has given it a competitive edge, even as other brands like Fitbit have incorporated similar features. Beyond sports performance, WHOOP has conducted extensive research on predicting premature births, aiming to integrate these findings into their app. This commitment to broader health applications demonstrates WHOOP's dedication to advancing wearable health technology.
Steph
Company Specialist at Welcome to the Jungle
Insights
1% employee growth in 12 months
Company
Funding (last 2 of 8 rounds)
Aug 2021
$200m
SERIES F
Oct 2020
$100m
SERIES E
Total funding: $404.8m
Company benefits
- Flexible Vacation: WHOOP has a flexible vacation policy that allows you to unwind, laptop-free, when you need it most.
- Focus on Family: We offer 18 weeks paid parental leave, plus an additional 2 weeks to gradually return to work.
- Get Invested: In addition to a competitive base salary and 401k, you're eligible to receive stock options to share in the future of WHOOP.
- WHOOP +1: Everyone on the team gets a complimentary WHOOP membership—plus another membership to share with a loved one.
- Health Matters: Our competitive benefits package covers medical, dental, and vision, in addition to mental health services, life and disability insurance, and more.
- Find Your Fit: Full-time employees get $500 a year to spend on wellness in whatever way they see fit, from fitness classes and memberships, to recovery services.
- It Pays to Sleep: Our Sleep Performance Program incentivizes employees to get more sleep. Log an average sleep performance of 85% or higher for the month and get a $100 bonus.
- Location, Location, Location: You can’t beat the views from the rooftop of One Kenmore Square. Feel inspired daily as you work, enjoy free snacks and coffee, and collaborate in the heart of Boston.
Company HQ
West Fens, Boston, MA
Leadership
Will Ahmed
(Founder & CEO)After graduating from Harvard with a Bachelor of Arts in Government and Economics, Will went on to hold Summer Analyst roles at Allen & Company and Lindsay Goldberg before founding WHOOP in 2012.
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