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Strong programming skills in at least one of the following languages: Java, Python, or similar languages • Experience with test automation frameworks such as XCUI, Expresso, or Appium • Experience with continuous integration tools like Jenkins or GitLab CI • Experience with cloud-based testing platforms like AWS Device Farm • Solid understanding of software testing methodologies, QA processes, and best practices • Excellent problem-solving skills and attention to detail • Ability to work effectively in a fast-paced and dynamic environment • Strong communication and collaboration skills • Demonstrated ability to work with cross-functional teams
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Response and Investigation: Provide support in incident response activities, including documentation, coordination as directed. • Participate in the review, development, and maintenance of security policies, standards, and procedures to ensure compliance with regulatory mandates and industry standards. • Bachelor's degree in Information Security, Computer Science, or relevant certifications preferred but not required (i.e., CompTIA Security+, CISSP, CISA, CISM, GRC-specific certifications). • At least 1 year of experience or equivalent strong internship experience in information security, risk management, audit, or compliance roles. • Understanding of compliance frameworks including GDPR, HIPAA, SOC2, ISO 27001, and NIST CSF. • Excellent analytical and problem-solving skills with attention to detail. • Effective communication and interpersonal skills, with the ability to collaborate with cross-functional teams. • Detail-oriented with superior organizational and time-management skills - balancing multiple projects, deadlines, and requests. • Driven with a can-do attitude and determination to succeed.
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Contribute to full stack development: Java, JavaScript, AWS and Postgres • Work collaboratively with a product and technical vision • Build software that will solve the needs of multiple cross-functional teams • Consistently deliver features and PRs with an iterative approach • Develop necessary alerting and monitoring to ensure stability our our systems • Mentor other developers while establishing best practices in our web stack • Work with Product and Growth teams to gather technical requirements • 4+ years of professional experience working on large scale software systems • Expertise developing web applications using frameworks like React • Experience hosting web applications in tools like Kubernetes and Cloudflare • Experience in API design and development (Java preferred) • Experience in relational database design and development (SQL) • Strong skills translating design specifications into fully functional applications • Experience developing large scale, production-quality web applications • Thrives with autonomy, with a positive attitude and ownership mentality • Strong communication skills to work both collaboratively and independently
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Factory & Manufacturing Quality: Analyze manufacturing test data to identify yield trends and potential defects; collaborate closely with Quality and Manufacturing Engineering on process stability and early failure detection.
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Preferred Qualification: Experience working with processed physiological time series data such as that from PPG, ECG, or EEG sensors
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Engagement-Driven Growth Analysis: Develop and maintain analytics frameworks to measure how engagement strategies impact member acquisition, retention, and lifetime value.
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Diverse material experience and knowledge is preferred, including: fabric, leather, synthetic, trim, polymers, etc. • Ability to teach / mentor others in the organization regarding material processes, manufacturing, etc. • Manages effectively in a fast-paced, ambiguous and changing environment with high emotional intelligence and resilience. • Can travel approximately 20% of the time with demonstrated experience traveling to overseas suppliers to develop and commercialize new materials. • Approach problems with a solution-oriented outlook and a strong bias for action. • Ability to partner across the organization to align on project goals, objectives and to quickly escalate and resolve issues as they arise.
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Product Strategy: Define and own the product strategy for Membership Services tooling, including internal support systems, self-service solutions, and AI-driven initiatives.
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Bachelor’s Degree: A degree in Computer Science, Software Engineering, or a related field; or equivalent practical experience. • 5+ years of experience in software engineering, with a significant focus on building and maintaining ML infrastructure in cloud environments. • Deep expertise in AWS services, including but not limited to SageMaker, Lambda, ECS, S3, and IAM, with the ability to design and optimize cloud-based ML infrastructure. • Strong programming skills in languages such as Python or Java, with a focus on building robust, maintainable code. • Proven experience in productionalizing ML models, including building APIs and services that enable real-time inference. • Expertise in designing scalable, resilient cloud architectures that support large-scale ML operations. • Strong understanding of microservices, distributed systems, and the challenges of deploying and maintaining ML models in production environments. • Excellent collaboration skills, with the ability to work closely with Data Scientists, AI and Software teams, and other cross-functional stakeholders.
Bonus: Experience with TypeScript, testing frameworks (e.g., Jest, Cypress), or native mobile app development.
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Lead the design and implementation of scalable ML tooling solutions: full-stack applications deployed on AWS cloud infrastructure used by a wide variety of technical teams at WHOOP. • Develop tools that enable efficient machine learning model training, support the integration of models into the WHOOP production environments, and improve access to data at WHOOP. • Partner closely with data scientists, data engineers, and other cross-functional teams to streamline the training, tuning, and deployment of machine learning models. • Translate business needs into technical solutions by facilitating architectural design discussions and conducting code reviews. • Mentor a small team of engineers, fostering a culture of collaboration, knowledge-sharing, and technical excellence. Optionally manage a small team. • Promote best practices in software development and machine learning operations to ensure scalable, reliable, and efficient systems. • Stay informed about the latest advancements in ML/AI technologies, AWS services, and cloud computing, and proactively apply them to enhance WHOOP tooling capabilities. • Bachelor's degree in Computer Science, Software Engineering, or a related field, or equivalent practical experience. • Proven technical leadership experience within cross-functional teams, with a focus on collaboration and effective communication. • Proficiency in one or more programming languages such as Python, Java, or Go. Experience with front-end frameworks like VueJS, ReactJS, or NextJS is preferred but not required. • Hands-on experience with cloud platforms such as AWS or GCP, with a preference for familiarity with AWS services like SageMaker, S3, Lambda, and EC2. • Knowledge of Agile/Scrum methodologies, with a focus on rapid iteration and continuous delivery. • A strong passion for staying up-to-date with advancements in machine learning, AI, and cloud technologies.
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Study Design & Protocol Development: Lead the design and development of clinical trial protocols, ensuring they align with clinical and regulatory objectives. Conduct literature searches to inform study design and statistical methodologies.
Support development and maintenance of WHOOP’s FDA-compliant QMS, ensuring adherence to 21 CFR 820 and ISO 13485: 2016 • Support internal audits, supplier audits, and FDA inspections or third-party audits as needed • Implement post-market surveillance, including complaint handling, adverse event reporting (MDR), and field actions • Develop and implement training programs to strengthen company-wide awareness of U.S. medical device requirements • Monitor changes in the U.S. FDA guidance, enforcement trends, and relevant standards • Foster strong partnerships across Product, Legal, and Engineering to balance speed and compliance in bringing impactful health technologies to market • Bachelor’s Degree in Life Sciences, Regulatory Affairs, Biomedical Engineering, or related field, or equivalent practical experience • 5+ years of experience in regulatory affairs and quality management systems for medical device software • Comprehensive knowledge of global regulatory requirements for SaMD products • Strong understanding of ISO 13485 and other quality management system standards • Proven experience in successful product registrations and market clearances in multiple countries • Excellent organizational, interpersonal, verbal, and written communication skills • Passion for delivering impactful and high-quality products to people
Nice to have: Prior experience working at or closely with a regulatory agency (e.g., FDA), or a strong history of successful regulatory interactions.
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Desired but not required: Experience in developing high reliability battery-powered consumer electronics at scale preferably with integrated biomedical sensor technologies such as ECG, PPG, SpO₂, GSR, BIA, or similar
Desired but not required: Experience in developing high reliability battery-powered consumer electronics at scale preferably with integrated biomedical sensor technologies such as ECG, PPG, SpO₂, GSR, BIA, or similar
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Preferred Qualifications: Experience in software engineering, including the development, deployment, and maintenance of production-quality software.
Data-Driven Growth Analysis: Develop understanding of key growth metrics, analyzing data across various dimensions such as geographies, membership types, and acquisition sources to provide actionable insights.
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Bachelor’s Degree: A degree in Computer Science, Software Engineering, or a related field; or equivalent practical experience. • 2+ years of experience in software engineering, with a significant focus on building and maintaining ML infrastructure in cloud environments. • Familiarity with Cloud Computing concepts and design patterns. • Experience in writing code in a functional or object oriented programming language such as Python or Java. • An understanding of the steps of ML lifecycle including model training and evaluation as well as monitoring a model in production. • Excellent collaboration skills, with the ability to work closely with Data Scientists, AI and Software teams, and other cross-functional stakeholders. • A high level of curiosity to keep up with industry trends and a proven ability to find creative solutions to novel problems.
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