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Location: Boston, MA Workplace: OnSite WHOOP is an advanced health and fitness wearable, on a mission to unlock human performance. WHOOP empowers its members to improve their health and perform at a higher level by providing a deep understanding of their bodies and daily lives. Our Machine Learning Core Algorithms team is responsible for developing novel algorithms and features that expand our health and fitness capabilities with wearable sensor data. We combine continuous physiological data with clinical research and expert knowledge to generate features that are both scientifically grounded and deeply impactful for members. This role is located on our Core Algorithms team: performance-related insights for sleep, recovery, and exercise. As a Senior Machine Learning Engineer on our Core Algorithms team, you will design, build, and productionize ML systems that deliver meaningful, personalized metrics to millions of members. You will own the ML systems you build in collaboration with applied machine learning scientists. You will work at the intersection of data science, backend engineering, and cloud infrastructure – deploying robust, scalable, and reliable ML solutions built on physiological and behavioral data streams. This role emphasizes strong coding skills, system design, and the ability to deliver production-ready ML systems. Responsibilities: - Create, improve, and maintain production services that provide analysis for core features in collaboration with applied ML scientists and MLOps engineers. - Improve ML data pipelines, tooling, and validation systems that support robust model performance. - Work alongside applied ML scientists to translate research prototypes into production ML systems optimized for scale, latency and cost efficiency. - Collaborate with researchers and Product teams to align model development with physiological insights and member impact. - Build operational maturity within the Core Algorithms team as well as the broader Machine Learning team, developing processes for observability, alerting, and incident response (including on-call rotations). - Develop applied ML operational infrastructure (frameworks, evaluation criteria, performance validation). - Mentor other engineers and applied ML scientists on production practices, raising the bar through code and system design review. Qualifications: - Bachelor’s Degree in Computer Science, Data Science, Applied Mathematics, or a related field (Master’s preferred). - 4+ years of professional experience as an ML engineer, applied researcher, or software engineer with a focus on ML systems. - Experience working with time series data (wearable, physiological, or high-frequency sensor data). - Strong coding skills in Python with a track record of writing clean, production-quality code. - Experience designing, deploying and operating ML production systems at production scale (millions of users, real-time streaming and/or large-scale batch). - Experience deploying and maintaining ML backend services (APIs, reliability, observability, monitoring; AWS or GCP). - Preferred: 2+ years experience applying advanced mathematical and statistical techniques. This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office.    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. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply.   WHOOP is an Equal Opportunity Employer and participates in E-verify https://www.e-verify.gov/ to determine employment eligibility.  It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.   At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success.   The U.S. base salary range for this full-time position is $150,000-$210,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training.    In addition to the base salary, the successful candidate will also receive benefits and a generous equity package.   These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.   Learn more about WHOOP https://www.whoop.com/us/en/careers/?srsltid=AfmBOopKmph9d0DLBlogZu8mx6do0dzjNS8eJlfc4PQqQtdU6F8DGKBg.

Location: Boston, MA Workplace: OnSite 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, Core Algorithms (Cloud) to lead the teams responsible for WHOOP's cloud-based algorithmic intelligence — the models and systems that transform physiological data into the sleep, recovery, and training insights our members rely on daily. This role is also responsible for ensuring our cloud algorithms evolve alongside WHOOP hardware, partnering with Sensor Intelligence and Hardware teams to translate new sensor capabilities into production-grade algorithmic experiences. You will own the technical vision, execution, and organizational health of this team. You'll drive the evolution of our core production algorithms such as workout detection, strain, and sleep staging toward higher accuracy, better member experiences, and more mature development practices. You will partner closely with ML Platform, Sensor Intelligence, Research, Product, and Software Engineering to define what WHOOP algorithms can enable — not just how they perform technically, but how they show up for members. This is a role for someone who has built and shipped physiological ML at scale in a consumer product, who has a deep product instinct for what algorithms mean to end users, and who knows how to elevate an ML organization's practices: raising the bar on tooling, processes, and standards to match the ambition of the work. RESPONSIBILITIES - Lead the cloud ML team responsible for the algorithms powering sleep, recovery, and training - Directly manage applied ML scientists and ML engineers; provide coaching, career development, and performance feedback that grows individual contributors into strong technical leaders - Ensure the technical quality bar for algorithm development is maintained by establishing the processes, reviews, and standards that guarantee rigor from research through deployment, and diving into designs and architectural decisions where necessary - Help drive the vision for what WHOOP algorithms and next-generation sensors can enable; advocate for member experience and push the boundaries of what our data makes possible - Ensure cloud algorithms remain compatible with future hardware generations; partner with Sensor Intelligence and Hardware to evolve proof-of-concept algorithms that leverage new sensor capabilities and bring them to production readiness - Establish and improve development lifecycle practices: experiment management, model validation, deployment pipelines, and production monitoring - Partner with ML Platform / MLOps to define requirements and drive maturity improvements across experiment tracking, model monitoring, deployment automation, and observability - Drive cross-functional alignment with Sensor Intelligence, Product, Software Engineering, and Research teams QUALIFICATIONS - 8+ years of experience in machine learning or applied data science, with hands-on experience developing and shipping ML models for a consumer product - 4+ years of people leadership experience directly managing machine learning scientists/engineers, with demonstrated growth of team members and a track record of building high-performing teams - Experience scaling a production ML organization: growing teams and leaders, identifying gaps in the development lifecycle, and driving improvements that increase velocity, reliability, and rigor - Deep product sense: ability to think about algorithms from the member's perspective, drive the vision for what algorithms can enable, and ensure the team is building toward meaningful user outcomes - Ability to evaluate technical designs, guide architectural decisions, and ensure quality at the system level, without needing to write code day-to-day - Experience defining and driving cross-functional programs with engineering, product, and science partners - Strong communication skills with the ability to translate complex ML concepts to diverse audiences including product, engineering, and executive stakeholders PREFERRED - Experience building algorithms using physiological or wearable sensor data (e.g., PPG, accelerometer, temperature, bioimpedance) - Experience managing through hardware-coupled development timelines where sensor availability and device generations constrain algorithm roadmaps - Familiarity with time-series modeling, sequential data, and the specific challenges of continuous physiological monitoring This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office.    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. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply.   WHOOP is an Equal Opportunity Employer and participates in E-verify https://www.e-verify.gov/ to determine employment eligibility.  It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.   At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success.   The U.S. base salary range for this full-time position is $200,000-$245,000 Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training.    In addition to the base salary, the successful candidate will also receive benefits and a generous equity package.   These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.   Learn more about WHOOP https://www.whoop.com/us/en/careers/?srsltid=AfmBOopKmph9d0DLBlogZu8mx6do0dzjNS8eJlfc4PQqQtdU6F8DGKBg.

Location: Boston, MA Workplace: OnSite At WHOOP, we're on a mission to unlock and inspire performance for life. WHOOP empowers users to perform at a higher level through a deeper understanding of their bodies and daily lives. Our wearable device tracks key physiological metrics such as heart rate variability, resting heart rate, and sleep quality to provide personalized insights into users' fitness, health, and recovery.  As a Backend Software Engineer II, you will build on WHOOP’s generative AI capabilities to develop and maintain exciting, member-facing features that drive meaningful health outcomes. You will play a vital role in delivering personalized insights across WHOOP and work alongside experienced engineers, designers, and product managers to help members better understand their health, optimize performance, and gain clarity throughout their WHOOP journey. RESPONSIBILITIES: - Collaborate with cross-functional team including Product, Design, Analytics, and Data Science to gather technical requirements and deliver impactful infrastructure and tools - Leverage Java, Kafka, AWS, and PostgreSQL to deliver scalable and reliable software solutions and features - Consistently deliver high-quality code, adhering to best practices in software design and development - Develop and maintain observability and monitoring systems to ensure the stability and reliability of deployed features QUALIFICATIONS: - 2-4 years of backend software development experience, ideally in languages like Java - Familiarity with asynchronous processing systems (Kafka, SQS) - Experience in backend development, working on large-scale software systems and RESTful API design - Experience in relational database design and development (PostgreSQL) - Experience with scalable system design and performance optimization - Strong independent problem-solving skills and the ability to work effectively in a fast-paced, collaborative environment - Excellent communication skills and a commitment to delivering high-quality work - A proactive, collaborative team player, eager to take on new challenges, continuously learn, and adapt in a fast-paced, data-informed environment Learn more about our Software Org and how to be successful in your engineering career at WHOOP via our Career Framework https://engineering.prod.whoop.com/careerframework.   This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office.   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. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply.   WHOOP is an Equal Opportunity Employer and participates in E-verify https://www.e-verify.gov/ to determine employment eligibility.  It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.   The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values.   At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success.   The U.S. base salary range for this full-time position is $125,000- $175,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training.    In addition to the base salary, the successful candidate will also receive benefits and a generous equity package.   These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.

Location: Boston, MA Workplace: OnSite At WHOOP, we're on a mission to unlock and inspire performance for life. By providing members with a deep understanding of their bodies, behaviors, and daily lives, WHOOP empowers healthier choices and peak performance.  We are seeking a Senior AI Researcher to join our Foundation AI team. This team builds the multimodal foundation models that underpin WHOOP’s next generation of intelligent, personalized, and health-enhancing experiences. These models integrate data across wearable sensors, language, biomarkers, clinical information, and self-reported inputs to create scalable AI systems that understand human physiology and behavior. In this role, you’ll serve as a senior individual contributor driving the research, development, and deployment of large-scale multimodal models. You’ll collaborate closely with data scientists, ML engineers, and cross-functional partners to push the boundaries of deep learning and ensure our models deliver measurable value to WHOOP members. RESPONSIBILITIES: - Design, train, and optimize large-scale multimodal foundation models that integrate wearable sensor data, text, biomarkers, and behavioral data. - Conduct applied research in self-supervised learning, representation learning, and downstream task fine tuning to advance WHOOP’s core model capabilities. - Develop scalable, distributed training pipelines for large models on high-performance compute environments. - Collaborate with MLOps, data engineering, and software engineering teams to operationalize models for production deployment, ensuring robustness, reproducibility, and observability. - Partner with product and research teams to translate foundation model capabilities into downstream features that deliver meaningful member value. - Contribute to the technical roadmap and architectural direction for foundation model development at WHOOP. - Ensure models adhere to WHOOP’s standards for ethical, transparent, and privacy-preserving AI. QUALIFICATIONS: - Advanced degree (Master’s or Ph.D.) in Computer Science, Machine Learning, Electrical Engineering, or a related field, or equivalent professional experience. - 7+ years of experience in applied ML, AI research, or large-scale modeling, with a track record of delivering production systems. - Expertise in modern deep learning (e.g., transformers, state space models), multimodal model training.  - Proficiency in Python and deep learning frameworks (e.g., PyTorch, TensorFlow).  - Familiarity with training models on  mulit-node, multi-gpu distributed compute environments.  - Familiarity with best practices for data, model, and context parallelisms. - Strong applied experience with representation learning, self-supervised methods, and post-training for downstream applications. - Experience with reinforcement learning for post-training foundation models (PPO, DPO, GRPO etc.).  - Familiarity with MLOps best practices including model versioning, evaluation, CI/CD for ML, and cloud-based compute. - Excellent communication skills and ability to collaborate cross-functionally with engineers, researchers, and product teams. - Passion for WHOOP’s mission to improve human performance and extend healthspan through science and technology.   This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office.    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. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply.   WHOOP is an Equal Opportunity Employer and participates in E-verify https://www.e-verify.gov/ to determine employment eligibility.  It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.   The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values.   At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success.   The U.S. base salary range for this full-time position is $190,000 - $230,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training.    In addition to the base salary, the successful candidate will also receive benefits and a generous equity package.   These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.

Location: Boston, MA Workplace: OnSite At WHOOP, we're on a mission to unlock and inspire performance for life. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives.  As a Mechanical Engineer II on the Hardware NPI Team at WHOOP, you will contribute to the design and development of WHOOP’s innovative hardware solutions - rechargeable energy accessories. You thrive in a fast-paced, execution-driven setting and can drive creative mechanical design solutions with independence and sound technical judgement. You’ll work alongside a multidisciplinary team of engineers and designers to help bring innovative concepts to life, supporting prototyping, mechanical design, and testing efforts. You will work closely with our suppliers and contract manufacturers around the world to execute engineering validation builds with a focus on high quality deliverables, sharp engineering risk management, clear technical communication upwards and externally, and commitment to product excellence. This is a great opportunity for an engineer with a solid technical foundation to grow their skills in a dynamic, fast-paced environment while contributing to impactful projects in early-stage product development. WHOOP operates with urgency because our mission demands it. We build products for people who push their limits—and we hold ourselves to the same standard. If you’re energized by complex challenges, cross-functional collaboration, and the opportunity to ship hardware at scale, this role will push you—and reward you. RESPONSIBILITIES: - Own critical parts of the next generation Whoop Hardware Products - Design, prototype, and test complex mechanical components around microelectronics, meeting stringent technical, performance, and industrial design requirements to guide projects from concept through manufacturing release. - Develop and present multiple design solutions for novel and complex technical challenges, articulating them clearly to cross-functional teams and documenting design process and specifications thoroughly. - Generate technical documentation such as 3D files, 2D drawings, bills of material (BOM’s), and Engineering Change Orders (ECO’s) following product development cycle timeline - Communicate engineering requests and changes to vendors and contract manufacturers as the product development cycle progresses  - Support planning and execution of verification and validation plans, leveraging design of experiments (DOE) methodologies to drive understanding, uncover insights, and deliver actionable results that enhance product quality, performance, and manufacturability. - Support and perform thorough engineering root cause analyses to identify and resolve issues - Collaborate with senior engineers to evaluate new technologies and manufacturing methods. - Up to 20% travel to contract manufacturers and suppliers internationally QUALIFICATIONS: - Bachelor’s degree in Mechanical Engineering or related field. - 2+ years of experience in the design of complex mechanical products, preferably for consumer electronics, wearables, or medical devices. - Experience with SolidWorks CAD best practices, including advanced assemblies, complex surfacing, configuration management and applying DFx feedback. - Hands-on experience in operating and maintaining rapid prototyping tools to craft proof-of-concept models. - Strong communication skills and comfort working with cross-functional teams and external partners. - Experience in high-quality consumer electronics or wearable technologies preferred. - Familiarity with validation testing methods and statistical analysis tools preferred. - Experience with high-volume manufacturing processes (e.g., injection molding, sheet metal design, metal injection molding) and manual assembly preferred.  - Working experience in a fast-paced or startup environment preferred. - A passion for health, or wearable technologies; and designing human-centered solutions in this space.  This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office.   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. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply.   WHOOP is an Equal Opportunity Employer and participates in E-verify  https://www.e-verify.gov/to determine employment eligibility   The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values.   At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success.   The U.S. base salary range for this full-time position is $110,000-$150,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training.    In addition to the base salary, the successful candidate will also receive benefits and a generous equity package. These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.

Location: Boston, MA Workplace: OnSite At WHOOP, we're on a mission to unlock and inspire performance for life. WHOOP empowers users to perform at a higher level through a deeper understanding of their bodies and daily lives.  WHOOP is looking for a Senior Mechanical Engineer to lead critical design, validation, and development for next generation biometric wearable products. You are a proactive, highly organized engineer with strong problem-solving skills and a sharp eye for detail. You thrive in a fast-paced, execution-driven setting and can drive creative mechanical design solutions with independence and sound technical judgement. You will mentor junior mechanical engineers and collaborate with cross-functional stakeholders (Electrical Engineering, Embedded Engineering, Manufacturing, Product, and Program Management). You will work closely with our suppliers and contract manufacturers around the world to execute engineering validation builds with a focus on high quality deliverables, sharp engineering risk management, clear technical communication upwards and externally, and commitment to product excellence. WHOOP operates with urgency because our mission demands it. We build products for people who push their limits—and we hold ourselves to the same standard. If you’re energized by complex challenges, cross-functional collaboration, and the opportunity to ship hardware at scale, this role will push you—and reward you. RESPONSIBILITIES: - Complete technical ownership (at subsystem and component level) of a next generation product  from design concept to manufacturing release - Lead mechanical design, analysis and development of mechanical components around micro-electronics, and exact industrial design specifications, product requirements, and manufacturing constraints.  - Create SolidWorks CAD models to bring up design concepts that enable simulation exercises, prototyping, and mass production qualification  - Generate technical documentation such as 3D files, 2D drawings, bills of material (BOM’s), and Engineering Change Orders (ECO’s) following product development cycle timeline - Communicate engineering changes to vendors and contract manufacturers as the product development cycle progresses  - Design testing protocols and validation plans, managing testing processes - Perform thorough engineering root cause analyses to identify and resolve issues - Mentorship, engineering best practices - Willingness to travel internationally up to 20% of the time QUALIFICATIONS: - BS or MS in Mechanical Engineering or a related field - 4+ years of experience in the design, documentation and validation of complex mechanical parts for medium to high volume consumer electronics - 4+ years SolidWorks CAD experience with best practices for part design/ feature architecture, advanced assemblies, complex configuration management and integrating DFx feedback efficiently - 2+ years working with Tier 1 and 2 contract manufacturers in Asia and North America - Extensive experience in mechanical design concepts and the manufacture of products utilizing high volume, automated manufacturing processes as well as manual assembly - Well-versed in design, prototyping, and evaluation of advanced injection molded plastic components, die castings, metal injection molding, packaging, and material selection - Strong organization and communication skills and the ability to work well within teams in a fast-paced environment This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office.    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. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply.   WHOOP is an Equal Opportunity Employer and participates in E-verify https://www.e-verify.gov/ to determine employment eligibility.  It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.   The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values.   At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success.   The U.S. base salary range for this full-time position is $140,000 - $195,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training.    In addition to the base salary, the successful candidate will also receive benefits and a generous equity package.   These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.

Location: Remote (USA) Product Strategist At Livefront, we help companies design and build world-class digital products that command attention and inspire joy. We’ve helped household names like CVS, Samsung, General Mills, and Optum create experiences that have reached millions of people, and startups like HomeSpotter and Credly build entirely new businesses that challenge their industries’ status quo. We’re looking for an outstanding Product Strategist to join our team. Who you are It’s not just about the technology for you, but rather how novel technology can be exploited to forge new business opportunities and make people’s everyday lives better. You have a keen eye for compelling experience design and recognize its power when paired with ambitious service design. You are able to skillfully align the right technologies with the right problems, and you aren’t afraid to make shrewd prioritization when needed to keep moving forward. You know how to take ambiguity and turn it into action, earning buy-in from even the most skeptical stakeholders along the way. Your superpower is your ability to inspire, influence, and compel efforts across disciplines and organizational structures. You're just as comfortable designing the strategy for a product as you are doing the heavy lifting to make it come to life. You can navigate complex and politically-charged discussions and decisions. What you will be doing Craft compelling product visions that inspire and guide our clients. Formulate detailed product strategies that are tightly aligned with overarching client business objectives and effectively address the diverse needs of target users Execute comprehensive market and user research initiatives using a combination of qualitative techniques, such as interviews and focus groups; and quantitative methodologies, including surveys and data analysis. Conduct competitive or peer analysis of the digital experiences within a given industry or category, developing an original point of view to be shared with our clients. Collaborate closely with Livefront’s business development team on new business pursuits, providing subject matter experience and perspective throughout the pre-sales process. Incorporate AI into the discovery process, exploring and executing on ways to increase your leverage as a Product Strategist through the use of agentic tools. Identify opportunities within the client ecosystem to leverage technology for new product features, improved user experiences, and improved business outcomes. Inform strategic decisions with insights on user behavior, market trends, and competitive landscapes. Lead co-creation sessions and workshops with cross-functional teams to generate innovative product ideas. Effectively lead and guide client teams through the often messy and complex process of early-stage product development Facilitate collaborative discussions and decision-making to ensure alignment and buy-in on the most impactful features that should be developed and launched. Guide and instruct client teams on what is needed (by way of decisions, process, and resources) to take a new product concept from idea to launch. Why you should apply You want to be at the center of the strategic apex of where products are planned and defined before coming to market. You are energized by the opportunity to contribute to a growing business and work closely with the business development function. You want to work with passionate and talented people who are always looking for ways to make things better. You desire a work environment where respect, mutual trust, and egoless collaboration are paramount. You want colleagues who take their work seriously but not themselves, and who know how to let loose and have a good time. You like being part of a team with a reputation for excellence that gives back to the community by educating, mentoring, and sponsoring. You want to work on products and accounts that have outsized impact and reach. You believe in sweating the details, giving a damn about quality, and taking pride in going the extra mile. What you bring to the table At least 5-10 years of relevant experience, ideally in a consulting environment or as part of an in-house, cross-functional product team. Experience launching and bringing new consumer-facing digital products to market at scale. Experience consulting enterprise clients on digital product strategies and execution. Strong versatility and experience with products across multiple digital platforms, including iOS, Android, Web, TV, Auto, Voice, Wearables, IoT, and other smart devices. Fluency with basic data analysis techniques: bi-variate analysis, cross tabulation, distributions. Familiarity with business and product management frameworks, including but not limited to: Jobs to Be Done, Hook, Kano, Design Sprint, Design Thinking, User Journey Mapping, Traction, and others. Excellent communication skills and a strong ability to present and defend strategic choices persuasively. Experience gathering and synthesizing both qualitative and quantitative data to uncover new insights about user behavior and business opportunity. Mastery of modern product management best practices. Above-average discipline and personal organization skills. A demonstrated hunger for personal and professional growth. A self-evident love and care for the craft of creating digital experiences Bonus points if you… Write and/or speak publicly about topics related to product strategy, technology, design, and consumer behavior. Have experience with business or product strategy consulting. Have experience with business development or account management. What to expect When applying, please include a short note about yourself, a summary of your work experience, and a link to any public profiles you actively maintain (e.g., GitHub, LinkedIn, etc). Our hiring process moves quickly and consists of several stages for candidates who capture our attention with their initial submission, sometimes including but not limited to a short preliminary phone interview, a series of video interviews, and a short take-home exercise, which you'll have up to a week to complete. Compensation is $120,000 - $145,000 Additional information We go out of our way to evaluate all employees and job applicants equally based on merit, competence, and qualifications. We encourage candidates from all backgrounds to apply and consider all qualified applicants. Don't worry, every application will be reviewed by a human.

Location: Boston, MA Workplace: OnSite At WHOOP, we're on a mission to unlock and inspire performance for life. WHOOP empowers people to perform at a higher level through a deeper understanding of their bodies and daily lives. We handle massive amounts of data continuously streaming up to the cloud from people improving their health and wellness to the world’s greatest sports teams and athletes mandating a fault-tolerant and highly available product. The Connectivity Software Team builds the critical link between WHOOP hardware, the iOS app, and the cloud. As an iOS Software Engineer on this team, you’ll design and implement the software that enables WHOOP’s wearable sensors to communicate seamlessly with the mobile platform. You’ll develop and optimize connectivity experiences that are robust, efficient, and invisible to the member — ensuring reliable data flow across our entire ecosystem RESPONSIBILITIES: - Architect, design, implement, and maintain iOS application components that interface directly with WHOOP hardware over Bluetooth Low Energy (BLE), Wi-Fi, or other communication protocols. - Define and evolve the iOS software architecture and communication protocols, maintain comprehensive documentation, and drive consistency across iOS and Android implementations. - Drive continuous improvement of performance, power efficiency, and reliability in the WHOOP connectivity software layer including background and system-level iOS services to enable reliable device connectivity, synchronization, and data transfer. - Champion strong software architectural principles for testable, scalable, maintainable software on your own team and across the organization. - Own and maintain a clear, prioritized backlog focused on code health, technical debt reduction, and testability improvements. - Raise the bar and champion higher engineering standards through prompt code review, increased test coverage, and improved design practices. Hold teammates accountable. - Represent the Connectivity iOS team in cross-functional settings such as bug triage, product syncs, firmware coordination, and guild representation. - Participate in the release process including getting the app built, managing build variants, signing, sending and testing through Firebase, and submitting to the App store QUALIFICATIONS: - BS or MS in Computer Science, Electrical Engineering, or a related technical field, or equivalent experience. - 5+ years of professional iOS software engineering experience with a solid foundation in Swift, iOS system APIs, concurrency, and memory management. - Hands-on experience with Combine and background task processing for non-UI iOS features. - Demonstrated examples influencing other engineers in the application of architectural and platform-based software design principals to build scalable, modular, testable software.  - Experience debugging and diagnosing issues across complex or distributed systems (for example: firmware, mobile, backend) is a strong plus. - Excellent collaboration and communication skills, driving cross-functional problem solving, tradeoff definition, and optimization. - Strong commitment to embracing and leveraging AI tools in day-to-day tasks, ensuring AI-assisted work aligns with the same high-quality standards as personal contributions. Learn more about our Software Org and how to be successful in your engineering career at WHOOP via our Career Framework https://engineering.prod.whoop.com/careerframework.   This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office.   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. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply.   WHOOP is an Equal Opportunity Employer and participates in E-verify https://www.e-verify.gov/ to determine employment eligibility.  It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.   The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values.   At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success.   The U.S. base salary range for this full-time position is $170,000-$230,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training.    In addition to the base salary, the successful candidate will also receive benefits and a generous equity package.   These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.   Learn more about WHOOP https://www.whoop.com/us/en/careers/?srsltid=AfmBOopKmph9d0DLBlogZu8mx6do0dzjNS8eJlfc4PQqQtdU6F8DGKBg.

Location: Boston, MA Workplace: OnSite At WHOOP, we're on a mission to unlock human performance and healthspan. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives. WHOOP is hiring Product Analysts to embed across the product organization and serve as strategic analytics partners to teams across Healthcare, Algorithms, AI, Hardware, and other product areas. In this role, you will help define how WHOOP measures product success, uncover insights that shape roadmap decisions, and translate complex data into clear recommendations that improve the member experience. You will bring strong analytical rigor, product intuition, and intellectual curiosity to help teams make faster, smarter, and more impactful decisions with data. RESPONSIBILITIES - Partner with Product, Engineering, Research, Design, and cross-functional leadership to inform strategy and roadmap decisions with data. - Own the analytical narrative for your product area, illustrated by defining KPIs, refining measurement frameworks, and surfacing insights that drive action. - Support experimentation and feature launches end-to-end: from defining success metrics to post-launch analysis and iteration. - Build scalable, self-serve reporting & tooling that lets your stakeholders make decisions without waiting on you. - Develop deep context on your product domain and use it to ask sharper questions, challenge assumptions, and push the product forward. - Proactively surface insights and recommendations that go beyond the ask; identify opportunities others haven't seen yet. - Collaborate with a high-performance analytics team in a fast-paced environment where intellectual curiosity is the baseline expectation. QUALIFICATIONS - You've done this before: 2-6+ years in an analytical role where you owned business-critical metrics or initiatives. (We're hiring across levels; we'll figure out the right fit together.) - You use AI tools proactively and hold AI-assisted work to the same bar as your own. - You can take a vague question, wrangle the right data, isolate insights, and communicate actionable recommendations to stakeholders who aren't data people. - You're a strong storyteller: you know how to make a compelling, concise case for action. - You're technically sharp: advanced SQL is table stakes. Familiarity with modern data stacks (Snowflake, dbt, ELT workflows) and visualization tools (Hex, Sigma, Amplitude, Looker) is a plus. - You have product sense: you think about the member experience, not just the numbers. - You're curious about how things work. Algorithms, hardware, health science: you don't need to be an expert, but you should want to understand. - You're a self-starter who thrives in ambiguity and doesn't wait to be told what to work on. - TEAMS WE'RE HIRING FOR We’re looking for multiple analysts to work across our product teams. During the interview process, we'll work with you to find the right team fit based on your interests and strengths: - AI Product: The future of intelligent coaching and personalized insights powered by AI/ML. - Algorithms: Where the science meets the product; sleep, recovery, strain, and how algorithmic outputs translate into member value. - Hardware Product: The physical device experience; sensors, wearability, and next-gen hardware. - Healthcare Product: Building WHOOP's Health Operating System; health outcomes, clinical features, personalized wellness. This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office. 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. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply. WHOOP is an Equal Opportunity Employer and participates in E-verify https://www.e-verify.gov/ to determine employment eligibility The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values. At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success. The U.S. base salary range for this full-time position is $100,000 - $155,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training.  In addition to the base salary, the successful candidate will also receive benefits and a generous equity package.  These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.

Location: China Workplace: OnSite ABOUT HUMAN ARCHIVE Human Archive is a research lab backed by Y Combinator focused on modeling human embodied intelligence. Humans are the most sophisticated biological systems we have ever observed, yet we still do not fully understand ourselves. Research into human physical intelligence — including the human hand, proprioception, and vision — remains largely unsolved. Our mission is to recover human embodied intelligence as a learned model. To achieve this, we build custom hardware products, deploy them globally at scale, and publish research. Today, our data is used for robotics and world modeling, but the broader opportunity is advancing scientific research into intelligence itself. Founded by Stanford and UC Berkeley researchers, we are lean, deeply technical, and operate at extreme speed, taking on unglamorous and conventionally impossible problems that directly unlock step-function gains in model capability. The deployment of capable humanoids at scale will permanently redefine human labor. Undesirable physical work will disappear, and human effort will shift toward a new era of abundant creativity. We are building the infrastructure to accelerate that transition by assembling the Human Archive mafia. You will own meaningful systems from day one and see your work directly impact model capabilities. This is a once-in-a-generation inflection point. If you want to help reshape physical labor and work on problems that matter at civilizational scale, join us. What you'll work on We're hiring an electrical engineer to lead PCB and power systems for our wearable capture hardware. Dense, high-speed, mixed-signal work in tight wearable form factors. Compute module integration - Custom carrier boards for ARM compute modules - Breakout and routing of high-speed interfaces from compact modules to custom peripherals - Bring-up coordination with firmware High-speed PCB design - End-to-end ownership of rigid-flex and high-density boards - High-bandwidth interfaces (MIPI CSI-2, SerDes, USB 3.x, PCIe, UFS) - EMI, crosstalk, and impedance control in space-constrained designs Power architecture and battery systems - Power Delivery Networks for double-digit-watt wearable loads - Battery management for field-swappable cell architectures - Fuel gauging and runtime estimation - Transient load behavior and power sequencing Sensor and peripheral integration - Multi-camera array electrical integration - Inertial, magnetic, acoustic, and environmental sensor wiring - Low-noise analog rails and shared precision clock distribution Bring-up, debugging, and validation - Board bring-up alongside firmware - Signal integrity, power integrity, and timing diagnosis - EMC pre-scans and compliance support Required technical experience - Strong PCB design in Altium, Cadence Allegro, or KiCad - High-speed digital design: differential pair routing, impedance control, stack-up - SI/PI simulation and validation - Compute module / SoM carrier board experience - Lab debugging instincts (scope, logic analyzer, network analyzer) Strong plus - Multi-camera array design (3+ concurrent cameras) - High-speed SerDes routing - ARM SoC carrier work (Qualcomm, NXP, or similar) - Wearable / body-worn product background - Hot-swap power design - FCC / CE / RoHS compliance and DFM handoff experience About this role You own electrical design end-to-end — schematic through bring-up through production-ready DFM. The interface stack is broad, the form factor is tight, and the boards you design end up on real users. Mistakes show up in the field within weeks. You'll iterate fast.

Location: China Workplace: OnSite ABOUT HUMAN ARCHIVE Human Archive is a research lab backed by Y Combinator focused on modeling human embodied intelligence. Humans are the most sophisticated biological systems we have ever observed, yet we still do not fully understand ourselves. Research into human physical intelligence — including the human hand, proprioception, and vision — remains largely unsolved. Our mission is to recover human embodied intelligence as a learned model. To achieve this, we build custom hardware products, deploy them globally at scale, and publish research. Today, our data is used for robotics and world modeling, but the broader opportunity is advancing scientific research into intelligence itself. Founded by Stanford and UC Berkeley researchers, we are lean, deeply technical, and operate at extreme speed, taking on unglamorous and conventionally impossible problems that directly unlock step-function gains in model capability. The deployment of capable humanoids at scale will permanently redefine human labor. Undesirable physical work will disappear, and human effort will shift toward a new era of abundant creativity. We are building the infrastructure to accelerate that transition by assembling the Human Archive mafia. You will own meaningful systems from day one and see your work directly impact model capabilities. This is a once-in-a-generation inflection point. If you want to help reshape physical labor and work on problems that matter at civilizational scale, join us. What you'll work on We're hiring a firmware engineer to own the embedded software stack on our wearable capture hardware. Close-to-the-metal work at the intersection of high-bandwidth sensor data, precise timing, and constrained-power embedded compute. You read schematics, debug buses, and know when the bug is in firmware versus when it's in hardware. System architecture - Firmware architecture on embedded Linux on ARM - System state machines: boot, capture, idle, fault recovery - Power management states and low-power transitions Sensor integration and timing - Drivers for cameras, IMUs, microphones, environmental sensors - Sub-millisecond cross-sensor synchronization - Hardware-level timestamping infrastructure - Real-time sensor data alignment - Lightweight on-device fusion for orientation and worn-state estimation (Kalman variants) Data pipeline - Multi-stream concurrent capture - Hardware video encoder pipelines - High-throughput storage writes - Industry-standard delivery format packing Connectivity and fleet operations - Device-to-backend telemetry (battery, storage, session state, error events) - Secure OTA firmware updates with signed images and rollback protection - Remote configuration and fleet management commands - Communication protocols for device-cloud messaging (MQTT-over-TLS, HTTPS, WebSockets) Hardware / software bring-up - Firmware-side board bring-up alongside electrical engineers - Validate hardware interfaces (I²C, SPI, USB, MIPI) - Diagnose timing, power sequencing, and communication faults Required technical experience - Strong C/C++ for embedded systems on ARM - Python for testing, tooling, and automation - Camera driver experience (V4L2 or equivalent) - Deep familiarity with embedded interfaces: MIPI CSI-2, I²C, SPI, USB, interrupts - Comfortable reading schematics and datasheets Systems and concurrency - Interrupts, race conditions, memory constraints, real-time scheduling - RTOS concepts and multi-threaded embedded environments Strong plus - Qualcomm, NXP, or Ambarella BSP experience - SerDes driver integration - Hardware H.264 / H.265 encoder pipelines - Precise timing and synchronization (PTP, IEEE 1588) - High-bandwidth data acquisition - Sensor fusion and Kalman filter implementation - OTA infrastructure for deployed fleets - IoT telemetry stacks (MQTT, AWS IoT, Azure IoT Hub, or similar) - ROS, MCAP, or Foxglove About this role Deep systems work. Long hours in the lab during board bring-up. Drivers nobody has written for the silicon you're working with. Firmware that runs unattended on real users for full shifts — and gets updated remotely without ever recalling a device.

Location: China Workplace: OnSite ABOUT HUMAN ARCHIVE Human Archive is a research lab backed by Y Combinator focused on modeling human embodied intelligence. Humans are the most sophisticated biological systems we have ever observed, yet we still do not fully understand ourselves. Research into human physical intelligence — including the human hand, proprioception, and vision — remains largely unsolved. Our mission is to recover human embodied intelligence as a learned model. To achieve this, we build custom hardware products, deploy them globally at scale, and publish research. Today, our data is used for robotics and world modeling, but the broader opportunity is advancing scientific research into intelligence itself. Founded by Stanford and UC Berkeley researchers, we are lean, deeply technical, and operate at extreme speed, taking on unglamorous and conventionally impossible problems that directly unlock step-function gains in model capability. The deployment of capable humanoids at scale will permanently redefine human labor. Undesirable physical work will disappear, and human effort will shift toward a new era of abundant creativity. We are building the infrastructure to accelerate that transition by assembling the Human Archive mafia. You will own meaningful systems from day one and see your work directly impact model capabilities. This is a once-in-a-generation inflection point. If you want to help reshape physical labor and work on problems that matter at civilizational scale, join us. We're hiring a mechanical / CAD engineer to lead the mechanical design of our wearable capture hardware. Hands-on work where physics, optics, manufacturing, and human factors all converge. What you'll work on Mechanical architecture - Chassis design across consumer-grade and production-grade materials - Packaging, weight distribution, and human fit - Serviceability and assembly architecture Optical mount and alignment - Camera and lens mounting systems for multi-camera arrays - Tolerance stack-up against calibration accuracy targets - Kinematic alignment systems and bonded inserts Power and battery packaging - Battery enclosures including swap mechanisms - Connector layout and cable routing - Drop and impact resistance Thermal management - Passive thermal dissipation in tight wearable form factors - Heat spreader integration with chassis materials - Touch-temperature constraints against the user DFM and manufacturing handoff - Design for CNC, injection molding, sheet metal, and composite layup - Production drawings, GD&T, fixture design - Tolerance verification and first-article inspection Required technical experience - Hands-on mechanical CAD: SolidWorks, NX, Creo, or Fusion 360 - Shipped consumer or wearable hardware to real users - DFM fluency across CNC, injection molding, and sheet metal - Tolerance stack-up and GD&T for precision optical systems - Structural and thermal FEA Strong plus - Head-worn or body-worn product background (AR/VR, action cameras, sports tech, smart eyewear) - Composite chassis design (carbon fiber, cyanate ester matrix) - Multi-camera optical alignment - Direct work with Asian ODMs and tooling shops - Background in research-grade capture systems or medical wearables About this role You own mechanical design end-to-end. The product surface is broad, the pace is fast, and your work ends up on real users within months. Compensation reflects the stage. The autonomy reflects it too.

Location: San Francisco ABOUT HUMAN ARCHIVE Human Archive is a research lab backed by Y Combinator focused on modeling human embodied intelligence. Humans are the most sophisticated biological systems we have ever observed, yet we still do not fully understand ourselves. Research into human physical intelligence — including the human hand, proprioception, and vision — remains largely unsolved. Our mission is to recover human embodied intelligence as a learned model. To achieve this, we build custom hardware products, deploy them globally at scale, and publish research. Today, our data is used for robotics and world modeling, but the broader opportunity is advancing scientific research into intelligence itself. Founded by Stanford and UC Berkeley researchers, we are lean, deeply technical, and operate at extreme speed, taking on unglamorous and conventionally impossible problems that directly unlock step-function gains in model capability. The deployment of capable humanoids at scale will permanently redefine human labor. Undesirable physical work will disappear, and human effort will shift toward a new era of abundant creativity. We are building the infrastructure to accelerate that transition by assembling the Human Archive mafia. You will own meaningful systems from day one and see your work directly impact model capabilities. This is a once-in-a-generation inflection point. If you want to help reshape physical labor and work on problems that matter at civilizational scale, join us. THE OPPORTUNITY As a Research Engineer, you’ll work on multimodal sensing systems and sensor fusion research for embodied AI and robotics. This role sits at the intersection of robotics, perception, hardware systems, and machine learning, where your work directly shapes how multimodal data is collected, synchronized, fused, and used for downstream VLA training. You’ll research emerging sensing technologies across RGB-D video, motion capture, IMUs, tactile sensing, audio, and wearable systems, and study how different sensor combinations impact robot learning, policy performance, and generalization. You’ll work closely with hardware, ML, and research teams to design experiments, evaluate new sensing stacks, and help define the next generation of multimodal robotics datasets. Your work will help shape how frontier labs and leading robotics companies train their models, transforming physical labor markets and economies while contributing to broader research into human embodied intelligence. WHAT YOU’LL DO - Evaluate how different sensor modalities impact VLA training and downstream robotics performance - Work across RGB-D video, IMUs, motion capture, tactile sensing, audio, and wearable systems data - Design experiments around synchronization, calibration, fusion, and multimodal alignment - Prototype quickly and iterate from real-world robotics deployments and research feedback - Collaborate closely with hardware, ML, and research teams on next-generation sensing systems WHAT WE’RE LOOKING FOR - Master’s or PhD in robotics, computer vision, sensing systems, or related fields - Published research in sensor fusion, perception systems, multimodal datasets, or embodied AI - Strong technical intuition around hardware systems and robot learning - Experience with RGB-D video, IMUs, motion capture, tactile sensing, or robotics systems - Experience with reinforcement learning, real-world robot deployments, and how data impacts downstream policy performance - Highly curious, execution-oriented, and comfortable operating from first principles

Location: San Francisco ABOUT HUMAN ARCHIVE Human Archive is a research lab focused on modeling human embodied intelligence. Humans are the most sophisticated biological systems we have ever observed, yet we still do not fully understand ourselves. Research into human physical intelligence — including the human hand, proprioception, and vision — remains largely unsolved. Our mission is to recover human embodied intelligence as a learned model. To achieve this, we build custom hardware products, deploy them globally at scale, and publish research. Today, our data is used for robotics and world modeling, but the broader opportunity is advancing scientific research into intelligence itself. Founded by Stanford and UC Berkeley researchers, we are lean, deeply technical, and operate at extreme speed, taking on unglamorous and conventionally impossible problems that directly unlock step-function gains in model capability. The deployment of capable humanoids at scale will permanently redefine human labor. Undesirable physical work will disappear, and human effort will shift toward a new era of abundant creativity. We are building the infrastructure to accelerate that transition by assembling the Human Archive mafia. You will own meaningful systems from day one and see your work directly impact model capabilities. This is a once-in-a-generation inflection point. If you want to help reshape physical labor and work on problems that matter at civilizational scale, join us. About the Role This is a full-stack hardware engineering role spanning mechanical, electrical, firmware, embedded systems, and manufacturing. The engineer in this role will own integration across all layers of the system and drive manufacturing execution in China — from vendor selection through production ramp. You will work directly on wearable sensing systems involving synchronized cameras, motion capture, tactile sensing, embedded compute, and power systems operating under real-world deployment constraints. Mandarin fluency and established relationships in Chinese manufacturing are required. A background in mechatronics, systems engineering, robotics, or embedded hardware is strongly preferred. Open to exceptional new graduates and early-career engineers (2023–2026). What You’ll Do - Lead hardware engineering and manufacturing execution for Human Archive’s multimodal wearable systems - Own integration across power systems, sensor synchronization, embedded compute, thermal systems, and mechanical packaging - Debug failures across electrical, firmware, thermal, RF, and mechanical layers under real-world deployment conditions - Review CAD, schematics, PCB layouts, and embedded firmware behavior and drive corrective action with engineering justification - Prototype, wear-test, deploy, and iterate rapidly on wearable sensing systems used in large-scale global operations - Work directly with stereo depth cameras, IMUs, motion capture systems, tactile hardware, and embedded sensing platforms - Coordinate across hardware, software, operations, and data teams to translate product requirements into manufacturable systems under aggressive timelines What We’re Looking For - Strong background in mechatronics, robotics, systems engineering, embedded systems, or equivalent hands-on experience - Experience building battery-powered electronics, embedded Linux systems, sensor integration systems, or wearable hardware - Ability to debug hardware and embedded systems using serial tools, oscilloscopes, logic analyzers, and low-level debugging workflows - Strong mechanical judgment with the ability to review CAD and identify structural, ergonomic, thermal, or reliability issues - Ability to move quickly in ambiguous, high-ownership environments with aggressive timelines - Strong communication skills and ability to coordinate across engineering, manufacturing, and operations teams - Comfortable operating as both an individual contributor and technical leader in a fast-moving startup environment Strong Plus - Mandarin fluency and active manufacturing relationships in China (Shenzhen, Dongguan, or equivalent ecosystems) - Experience working with motion capture systems, IMUs, stereo depth cameras, tactile sensing, or wearable robotics - Experience bringing hardware products from prototype through mass production deployment - Experience working on robotics, embodied AI, multimodal sensing, or large-scale wearable systems Location Globally deployed. Primary operational presence in China (Shenzhen / Dongguan) and San Francisco.

Location: Parkland, Florida, USA Appodeal is a dynamic US-based product company with a truly global presence. We have offices in Warsaw, Barcelona and Parkland (FL), along with remote team members located around the world. Our company thrives on diversity, collaboration, and innovation, making us a leader in the mobile app monetization space. Why Appodeal? At Appodeal, we’re more than just a company—we’re a team united by a common mission: Help people discover and grow their talents through products that enable successful mobile app businesses! We take pride in our cutting-edge product and our internationally dispersed team of talented professionals. Here’s what we value, and what we hope you do too: Seek the Truth and Say It with Care: We find the truth together, and nobody owns it, the CEO included. Stories, perspectives and beliefs can be personal. Facts can’t. Leverage Data to Build Product: Our decisions start from data. We build systems rather than one-off tasks, use AI agents in our daily work and automate whatever is manual. When numbers don’t match, we fix them. We Work Together to Serve Others: No closed doors between teams. We share what we learn and win as one company first. Insist on Higher Standards: We don’t settle for “good enough”. We question it and push for better. Passionate Curiosity Fuels Perseverance: We ask “why”, take on ambiguous problems and keep going when they get hard. Lean Startup Mentality: Start Small, Iterate Quickly: Think big, ship an MVP first and learn fast. No big-bang releases. Ownership and Accountability: We work in small squads so each team owns its result end to end and has the freedom to get there. Go deep in your craft and wide enough to own the whole outcome. Escalate blockers early, admit mistakes, fix the damage and learn. Appodeal is looking for an AI & Automation Analyst to design, build, and implement the next generation of automations that will scale our business and transform the way our teams work. Location: Parkland, FL (Hybrid — 3 days in office, 2 days remote) About the Role This is a rare opportunity to work directly with the CEO of a technical startup that operates at a global scale and build a career in AI, digital advertising, human potential, and mobile gaming . As an AI & Automation Analyst , you’ll help design and implement cutting-edge automations that improve the way our company works — from meeting analytics to AI-driven feedback, OKR tracking, and custom integrations. You’ll work hands-on with the CEO to bring bold ideas to life, experiment with the latest AI technologies, and create solutions that scale across a global organization. This role is ideal for someone hungry to learn, coachable, and curious , who wants to be at the intersection of AI innovation and business impact . What You’ll Do Partner directly with the CEO to design, build, and implement AI-powered automations across the company. Build automations with n8n, Pipedream, Zapier, Make, or similar workflow automation platforms . Implement projects such as: Tracking and reporting non-L10 meetings . Delivering personalized automated feedback to team members. Integrating Garmin and other wearables with ChatGPT/Claude. Automating log transfers (e.g., Limitless to Google Drive). Connecting OKRs to AI systems for real-time tracking and accountability. Prepare executive summaries for the CEO with insights and outcomes. Document processes, ensure adoption, and train teams. Work independently with minimal follow-up , driving projects from concept to execution. What We’re Looking For Hands-on experience with workflow automation tools ( n8n, Pipedream, Zapier, Make, or similar ). Basic coding skills (Python or JavaScript). Comfort working with APIs, REST, and webhooks . Experience automating tasks in Google Workspace (Sheets, Docs, Drive, Apps Script) . Full stack software development experience. Analytical problem-solving skills. Coachable — open to feedback, adapts quickly. Strong communication skills, including preparing clear executive-level summaries . Ability to follow company OKR frameworks and standards . Self-driven with a bias for action . Mindset & Traits Passionate about AI, automation, and emerging technologies . Curious and independent learner who thrives with little oversight. Entrepreneurial and fast-moving — comfortable iterating and learning quickly. Strong sense of ownership and accountability . Core Values You’ll Live By Seek the Truth and Say It with Care We find the truth together, and nobody owns it, the CEO included. Stories, perspectives and beliefs can be personal. Facts can’t. Leverage Data to Build Product Our decisions start from data. We build systems rather than one-off tasks, use AI agents in our daily work and automate whatever is manual. When numbers don’t match, we fix them. We Work Together to Serve Others No closed doors between teams. We share what we learn and win as one company first. Insist on Higher Standards We don’t settle for “good enough”. We question it and push for better. Passionate Curiosity Fuels Perseverance We ask “why”, take on ambiguous problems and keep going when they get hard. Lean Startup Mentality: Start Small, Iterate Quickly Think big, ship an MVP first and learn fast. No big-bang releases. Ownership and Accountability We work in small squads so each team owns its result end to end and has the freedom to get there. Go deep in your craft and wide enough to own the whole outcome. Escalate blockers early, admit mistakes, fix the damage and learn. Work Schedule 5 days a week 3 days in-office (Parkland, FL) 2 days remote Growth Path Career growth into AI Automation Specialist , AI Product Manager , or Head of AI Automations . Direct mentorship from the CEO, with exposure to AI, digital advertising, mobile gaming, and human potential at a global scale. If you’re hungry, curious, and ready to build the future of AI-driven work, this is your opportunity! With an outstanding product and a mission that excites and inspires, Appodeal offers a unique opportunity to make an impact while being part of an amazing team. Join us and help shape the future of mobile app success!