Associate Director, Core Algorithms (Sensor Intelligence Group)

Reposted 7 Days Ago
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Boston, MA, USA
Hybrid
Senior level
Fitness • Hardware • Healthtech • Sports • Wearables
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The Role
Lead WHOOP's strategy for transforming sensor data into real-time intelligence, managing teams, delivering features, and driving technical direction in machine learning and embedded systems.
Summary Generated by Built In

At WHOOP, we’re on a mission to unlock human performance and healthspan. WHOOP empowers members to perform at a higher level and live longer through a deeper understanding of their bodies and daily lives.

We are seeking an Associate Director of Engineering, Core Algorithms to define and lead WHOOP’s strategy for transforming physiological sensor data into real-time, production-grade intelligence. This role owns the technical vision and execution for core algorithm systems that power member-facing experiences across generations of WHOOP devices.

You will operate at the intersection of machine learning, signal processing, and embedded systems, defining multi-year technical direction, scaling high-performing teams, and shaping how WHOOP delivers differentiated edge intelligence at scale. You will lead teams driving innovation in on-device intelligence, translating complex physiological data into scalable, high-quality insights while navigating tradeoffs across accuracy, latency, and efficiency. Your leadership will directly influence how WHOOP delivers meaningful, member-centric experiences across product generations.

RESPONSIBILITIES:

  • Lead and scale high-performing teams of machine learning and signal processing engineers, including senior ICs and tech leads

  • Define and drive the roadmap for core algorithm systems and on-device intelligence

  • Guide key architectural and technical tradeoffs across accuracy, latency, power, and system constraints

  • Deliver end-to-end sensor-driven features from research through production deployment

  • Drive cross-functional execution across Firmware, WHOOP Labs, and Product; align stakeholders and manage complex dependencies
    Establish best practices for algorithm development, validation, integration, and lifecycle management

  • Balance long-term innovation with near-term product delivery

  • Develop technical leaders and foster a culture of execution excellence

QUALIFICATIONS:

  • Proven experience leading engineering teams in machine learning, signal processing, or embedded systems, including managing senior ICs or tech leads

  • Strong track record of delivering sensor-driven algorithms or systems into production environments

  • Experience working across hardware, firmware, and data science boundaries, with a systems-level mindset

  • Demonstrated ability to define and communicate technical strategy and guide teams through ambiguity

  • Experience driving cross-functional programs, aligning stakeholders, and influencing without direct authority

  • Strong communication skills, with the ability to translate complex technical concepts to diverse audiences

  • Passion for building teams, developing talent, and scaling engineering organizations

PREFERRED QUALIFICATIONS:

  • Experience with physiological sensing (e.g., PPG, IMU, ECG) or wearable technologies

  • Experience optimizing models for edge deployment (e.g., quantization, latency, power constraints)

  • Background in health, fitness, or consumer hardware products

  • Experience balancing long-term innovation vs. near-term product delivery

Skills Required

  • Proven experience leading engineering teams in machine learning, signal processing, or embedded systems
  • Strong track record of delivering sensor-driven algorithms or systems into production environments
  • Experience working across hardware, firmware, and data science boundaries
  • Demonstrated ability to define and communicate technical strategy
  • Experience driving cross-functional programs and aligning stakeholders
  • Strong communication skills for translating technical concepts
  • Passion for building teams and developing talent

What the Team is Saying

Josh
Manan Dedhia
Anahis

WHOOP Compensation & Benefits Highlights

  • Parental & Family Support Parental leave is described as generous, with an additional transition period to support return-to-work. Feedback suggests this policy stands out within the overall package.
  • Wellbeing & Lifestyle Benefits Wellness stipends, free WHOOP memberships (including a giftable one), a sleep-performance cash incentive, daily meals, and access to onsite gym and recovery tools create a lifestyle-oriented offering. Feedback suggests these perks meaningfully enhance the total rewards experience beyond base pay.
  • Equity Value & Accessibility Equity participation and stock option eligibility are highlighted, and ownership is portrayed as rewarding as the company grows. Feedback suggests this sense of ownership positively influences perceptions of compensation.

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The Company
HQ: Boston, MA
500 Employees
Year Founded: 2012

What We Do

At WHOOP, we’re on a mission to unlock human performance. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives. Our wearable device and performance optimization platform has been adopted by many of the world's greatest athletes and consumers alike.

Why Work With Us

At WHOOP, we’re focused on building an inclusive and equitable team with a strong sense of belonging for everyone—increasing representation in every way as our team grows. We believe that our differences are our source of strength—so much so it’s one of our core values.


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WHOOP Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

Typical time on-site: 4 days a week
HQBoston, MA
Limerick, Limerick, V94 4D83 Ireland
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