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Location: Europe We are toogeza, a Ukrainian recruiting company that is focused on hiring talents and building teams for tech startups worldwide. People make a difference in the big game, and we may help to find the right ones. Type: Full-time (Remote) Company: HealthTech company developing innovative AI-driven wellness products ABOUT THE CLIENT’S COMPANY: Fast-growing HealthTech company creating multiple products at the intersection of wellness and artificial intelligence. Their mission is to make self-optimization and well-being accessible to everyone through cutting-edge technology. Their most recognized product is Ultiself, a mobile habit tracker used by thousands of people worldwide. ABOUT THE ROLE: We're looking for Wearables Marketing Expert. You will own the go-to-market for Ultiself's wearables direction, from positioning and launch plan to partnerships, acquisition and the first growth numbers. This is a hands-on role: you set the strategy and you also launch campaigns, write briefs, negotiate with partners and read the data. You will work directly with the CEO, the Product Owner and the marketing team, and you will be the company's in-house expert on the wearables market, its users and its players. RESPONSIBILITIES: - Build and execute the go-to-market strategy for the wearables project: target audience, positioning, messaging, pricing input and launch plan. - Define how wearable data turns into user value in Ultiself (sleep, HRV, recovery, activity into personalized routines) and translate it into clear marketing messages. - Launch and scale acquisition for wearable owners: paid social (Meta, TikTok), YouTube, creators and influencers in the biohacking and quantified-self space, podcasts and communities. - Develop partnerships and co-marketing with wearable brands and platforms. integration listings, joint campaigns, bundles and affiliate deals. - Own the launch of the Ultiself wearable: pre-orders, waitlist, D2C and marketplace channels (Shopify, Amazon), bundle offers (device + subscription) and the device-to-subscription funnel. - Work with the Product Owner on the onboarding of wearable users, device-connection rate and features that drive retention. - Run market and competitor research on the wearables ecosystem and share regular insights with the team. - Set and track KPIs: CAC, device-connection rate, conversion to subscription, retention of wearable-connected cohorts, partner-driven installs and revenue. - Report results to the CEO weekly and adjust the plan based on data. REQUIREMENTS: - 2+ years in consumer tech marketing, growth or product marketing. - 1+ years working with wearables, connected devices or health-tech apps. - Proven experience launching a consumer hardware / wearable product end-to-end (plan, pre-orders, assets, channels, results). - Good understanding of the wearables ecosystem and health metrics: sleep, HRV, recovery, activity, glucose. - Hands-on performance marketing knowledge: Meta, TikTok, Google/YouTube; understanding of CAC, LTV, ROAS and subscription funnels. - Partnership / business development experience with tech brands or platforms. - Data-driven mindset: you make decisions on numbers, not opinions. - Fluent English (C1+), strong written and verbal communication. - Ability to work independently and own outcomes in a fast-paced environment. NICE TO HAVE: - Experience at a wearable or health-tracking company, or at an app integrated with wearables. - Experience with hardware + subscription models (device bundled with or upsold to a membership). - D2C / Amazon marketing experience. - Network in the biohacking, longevity or quantified-self community (creators, podcasts, experts). - Experience with A/B testing, landing pages and habit-formation psychology. WE OFFER: - Opportunity to shape a new direction of a global health and self-improvement platform from day one. - Direct work with the CEO and high ownership of outcomes. - Fully remote and collaborative work environment. - Competitive compensation + performance bonus. - Paid sick leave (5 days). - Paid vacation (20 days per year after the probationary period). - Flexible schedule with autonomy in planning your workweek (timely reporting required). - Professional growth opportunities within a fast-scaling company. Ready to join the team? Please submit your CV. We’ll review your application within five working days, and if your background matches what we’re looking for, we’ll get in touch to set up a call and get to know each other better.

Задачи: — Разрабатывать приложение с нуля: проектировать многомодульную архитектуру, выстраивать базовые слои приложения и SDK. — Интегрировать приложение с wearable-устройством: работать с Bluetooth API, BLE/GATT, подключением к девайсу и протоколами взаимодействия с устройством. — Участвовать в разработке SDK: проектировать API, думать об удобстве интеграции, стабильности, расширяемости. — Развивать CI и инфраструктуру: улучшать сборки, тесты, релизный процесс, диагностику и наблюдаемость. Требования: — Опыт Android-разработки больше пяти лет. — Уверенное владение Kotlin, хорошее понимание Android SDK, жизненного цикла приложения, многопоточности и архитектурных подходов. — Готовность разбираться в нестандартных частях мобильной разработки. Условия: — Корпоративная подписка на чекапы, спорт, терапию, образовательные курсы и другие бонусы в Яндексе. Контакт для отклика не указан, откликаться нужно по ссылке ниже.

Location: Bremen, Germany Constructor University in collaboration with Constructor Knowledge Labs and Constructor Technology About the Position The research group of Dr. Sari Sadiya at Constructor Knowledge Labs (CKL) , in collaboration with Constructor University (CU) and Constructor Technology (CT) , invites applicants for Ph.D. student positions in Computer Science with a focus on wearable intelligence, multimodal data fusion, and edge AI . The project investigates how wearable data streams can be transformed into structured knowledge and integrated into a knowledge-grounded digital avatar that supports bi-directional collaboration in education and research. Ph.D. students will work in a highly interdisciplinary environment, combining AI/ML, edge computing, cognitive science, and human–computer interaction . In close collaboration with academia and industry, they will contribute to building privacy-preserving, real-time personalization frameworks while pursuing their doctoral dissertation. About the Program The PhD program is research-centered, emphasizing original contributions in: Wearable data analytics and fusion methods Biomedical data analytics On-device processing and performance modeling Personalization and adaptive reasoning systems AI for Education Doctoral students will also have access to specialized courses in: Artificial Intelligence, Machine Learning, and Edge Computing Advanced Computational Methods and Data Science Cognitive Science and Human-Centered Computing As part of the program, students will collaborate with Constructor Technology to gain first-hand industrial experience, contributing to real-world testbeds and prototypes. Research Focus This PhD position is part of the Wearable Intelligence Project , with two main research directions: Data fusion of heterogeneous temporal streams Designing algorithms to unify multimodal signals (physiological, cognitive, contextual, scheduling, and learning data). Developing pipelines that produce structured insights powering the Agentic Personalization Engine (APE) . On-device data processing & performance modeling Developing models balancing computation, energy, and data flows across wearable, edge, and cloud environments. Exploring feasibility of running compact micro-LLMs directly on wearables . The overarching goal is to create scalable, ethical, and transparent personalization systems that support education and research. Funding The appointment provides full financial coverage through a dedicated fellowship, comprising: Monthly stipend of €1,650 Monthly research-cost allowance of €100 (Forschungskostenpauschale) Health-insurance subsidy of €100 per month Supplementary €603 mini-job allowance to support parallel part-time employment (optional) Constructor Knowledge Labs actively supports candidates in preparing applications for external funding — doctoral scholarships, foundations, or international mobility grants — and can provide institutional support and references Applicant Profile Mandatory requirements: MSc degree (or equivalent) in Computer Science, AI/ML, Data Science, Cognitive Science, or related disciplines. Strong background in AI/ML, signal processing, or edge computing. Hands-on experience with wearable or multimodal data (e.g., heart rate, EEG, activity, sleep, GPS) . Solid mathematical and computational modeling skills. Proficiency in academic English writing (e.g., reports, papers, theses). Preferred qualifications: Experience with LLMs, multimodal data fusion, or agent-based AI systems . Familiarity with privacy-preserving ML, dynamic consent, and GDPR-compliant frameworks . Demonstrated ability to conduct independent research and collaborate across disciplines. Interest in teaching, mentoring, and applied industrial research. Application Details Deadline : August 31, 2026 Required documents: Curriculum Vitae (CV); Academic transcripts; Letter of motivation outlining research interests and career goals; 2 recommendation letters. Applications to be reviewed on a rolling basis. Shortlisted candidates will be invited to interviews.

Responsibilities: — Develop algorithms focused on women's hormonal health using AI-powered technology. — Translate complex hormonal data into actionable insights and product features. Requirements: — At least 3 years of experience in data science. — Proficiency in Python and SQL. — Experience working with health, wearable, or biomarker data. — Strong judgment in model validation. — Ability to communicate effectively with stakeholders. Benefits: — Remote work opportunity. Mira is a company transforming hormone health through AI-powered technology, helping individuals track and understand their hormones at every stage of life.

Location: Intellias Vacancy details Software Engineering Python Engineer Associate India Hybrid APPLY NOW REFER A FRIEND We have a dream: to change industries through the power of digital technology. With a team of top-notch engineers by your side, you will develop groundbreaking solutions at Intellias. Let’s code the future together! What project we have for you Our customer’s location services are used by millions of people every day on mobile devices, cars, wearables and on the web. We are pushing the boundaries of, and extending the horizons of highly-autonomous driving, Virtual Reality and IoT. We are the experts on map compilation that make possible the most comprehensive map in the market. Our work is constantly striving for the best map ever. We are proud to have experts in the field and top specialists located in Germany and Ukraine. Join our passionate team and take a unique chance to work on the core technologies of cutting edge navigation systems for premium cars and the future of automated driving. What you will do Participate in all stages of software development including analyzing, designing, programming, debugging, and modifying software enhancements and/or new products for internal or customer applications Using current programming language and technologies, write code, complete programming, and perform testing and debugging of applications. Compose and maintain documentation and procedures for installation and maintenance Analyze and fix incoming defects Cooperate with other teams in elaboration of fixes and solutions of issues What you need for this Good knowledge of Python syntax Good to have Java SQL syntax and terms Understanding of OOAD, architecture and design patterns Understanding of SDLC and engineering practices Experience with continuous integration systems (i.e. Jenkins) Git basic knowledge Linux: basic commands, permissions understanding Self-motivated, well-organized, detail-oriented and a strong team player Higher Education: Basic Degree What it’s like to work at Intellias At Intellias, where technology takes center stage, people always come before processes. By creating a comfortable atmosphere in our team, we empower individuals to unlock their true potential and achieve extraordinary results. That’s why we offer a range of benefits that support your well-being and charge your professional growth. We are committed to fostering equity, diversity, and inclusion as an equal opportunity employer. All applicants will be considered for employment without discrimination based on race, color, religion, age, gender, nationality, disability, sexual orientation, gender identity or expression, veteran status, or any other characteristic protected by applicable law. We welcome and celebrate the uniqueness of every individual. Join Intellias for a career where your perspectives and contributions are vital to our shared success.

Location: London 500M+ downloads. 80M+ monthly users. A decade of building – and we’re still accelerating. Flo is the world’s #1 health & fitness app worldwide on a mission to build a better future for female health. Backed by a $200M investment led by General Atlantic, we became the first product of our kind to reach a $1B valuation in 2024 – and we’re not slowing down. With 7M paid subscribers and the highest-rated experience in the App Store’s health category, we’ve spent 10 years earning trust at scale. Now, we’re building the next generation of digital health – AI-powered, privacy-first, clinically backed – to help our users know their body better. The job About the role Medical and scientific credibility is the foundation of Flo. It’s the core of who and what we are. Our medical teams engage the experts on our medical board (120+ and counting!), establish research partnerships (Stanford University, Johns Hopkins University, Northwestern University, and others), help developers design our intuitive AI tools, check our medical accuracy, and drive medical credibility across the whole platform. Flo’s credibility is also recognised by industry leaders. In October 2026, Google Health announced a multi-year strategic partnership with Flo, bringing together Flo’s women’s health expertise with Google’s wearable technology and AI-powered coaching. Down the line, this collaboration will include consent-based data syncing between the two apps and joint research into underserved areas of women’s health, such as perimenopause, PMOS, pregnancy and postpartum recovery. For our medical team, this means even more opportunities to shape how millions of women understand and manage their health, and to hold that work to the highest standard of medical accuracy. We divide our Medical Advisors into two groups: the User Centric team and the Health Stream team. The Health Stream Medical team looks after the predictive powers of Flo, working hand in glove with product, engineers and data science to offer a truly powerful predictive experience to the millions of people who trust Flo with their health and wellbeing. The User Centric Medical team ensures that Flo’s health-related features, information and user experiences are medically accurate, relevant, understandable and genuinely useful. We provide medical expertise throughout the product development lifecycle, translating scientific evidence into accessible, actionable health experiences, and advising the wider business on what good looks like when it comes to medical credibility, and on what a clinician says a good user journey should be. This role sits in the User Centric team. We’re looking for a fully qualified doctor with experience in women’s health and health tech, who is excited about the role AI can play in medical quality and governance. You’ll work alongside highly experienced and supportive colleagues, all experts in healthtech and passionate about improving women’s health. Our team is collaborative and always happy to share knowledge, making it a great role for someone ready to make a real impact. What you’ll be doing Medical expertise, content and product development Provide expert medical guidance in women’s health, menstrual and reproductive health, fertility, contraception and related conditions Collaborate with product managers, designers, content specialists and engineers to shape health-related features and experiences from early concept through implementation Contribute to the design of user journeys, interactions and personalised experiences, ensuring medical information is relevant to users’ circumstances and questions Help define the intended medical value of product features and identify opportunities to improve their practical usefulness Support the development of onboarding flows by gathering medical research and contributing to their creation Work with members of Flo’s Expert Board to peer-review concepts and ensure adherence to the latest medical guidelines Provide expert input on medical risk assessments and on regulatory compliance in line with healthcare industry standards Continuously improve our medical review workflows Medical relevance and user-centred communication Ensure health information is not only factually accurate but also relevant, understandable and appropriate to the user’s context Adapt the depth, complexity and presentation of medical information to different user needs, levels of health literacy and stages of their health journeys Work with content and design teams so that medical communication is clear, empathetic and consistent with Flo’s tone of voice, without compromising accuracy Medical quality of AI-powered experiences Contribute to medical communication principles and response quality requirements for conversational AI and other AI-powered health experiences Evaluate AI-generated medical explanations for accuracy, relevance, clarity, completeness and practical usefulness Help develop and refine medically appropriate response patterns that provide meaningful information while respecting clinical safety requirements Design, test and monitor AI agents and AI-assisted workflows that improve the scale, consistency and speed of medical reviews and assessments Apply AI in medical governance, and work with the Medical Accuracy & Clinical Safety team to ensure improvements in user experience remain consistent with established clinical safety requirements Scientific collaboration and innovation Stay informed about developments in women’s health research, medical communication, digital health and emerging technologies Collaborate with scientific and product teams to turn new medical evidence into meaningful user-facing experiences Contribute medical expertise to the exploration of new health-related product concepts The medical face of Flo This role may involve representing Flo as a medical voice, including appearing in in-app videos, on Flo’s social media channels, and in content created for user acquisition. Comfort in front of the camera and the ability to communicate complex medical topics clearly and warmly to a broad audience are important. You’ll use tools such as Figma, Jira, Miro and Google Workspace to manage and deliver your work, alongside AI tools and agent frameworks (Claude, Datbricks, etc). Your experience Must have Medical degree Minimum 2 years of experience as a clinician Experience using AI in medical governance, quality assurance or clinical review Experience designing, integrating, validating, or evaluating AI agents and AI-assisted workflows for clinical accuracy Experience reviewing or creating user-facing health content (e.g. articles, videos, social media, in-product messaging) Willingness and ability to act as a medical spokesperson on camera and across Flo’s channels Excellent command of written and spoken English (C2 level or higher) Nice to have Experience in women’s health, either as a GP with a proven interest or as an OBGYN Understanding of clinical safety, medical governance and regulatory requirements in digital health products Experience collaborating with software product development teams on consumer health technology Experience partnering with marketing teams in a healthtech or industry setting What success looks like Acting as the main medical point of contact for User Centric topics across product, content and design Aiming for 100% medical accuracy across user-facing experiences, working closely with the Medical Expert Board and in-house medical team Bringing new, medically appropriate ideas to product and content teams Improving the quality, speed and scalability of medical review workflows, including through AI-enabled tooling Serving as a credible, trusted medical voice for Flo in video and social content #LI-Hybrid Annual Salary Range (ranges may vary based on skills and experience) £82,000 — £100,000 GBP How we work We’re a mission-led, product-driven team. We move fast, stay focused and take ownership – from brief to build to impact. Debate is encouraged. Decisions are shared. We care about craft, ship with purpose, and always raise the bar. You’ll be working with people who take their work seriously, not themselves. It takes commitment, resilience, and the drive to keep going when things get tough. Because better health outcomes are worth it. What you'll get We support impact with meaningful reward. Here’s what that looks like: Competitive salary and annual reviews Opportunity to participate in Flo’s performance incentive scheme Paid holiday, sick leave, and female health leave Enhanced parental leave and pay for maternity, paternity, same-sex and adoptive parents Accelerated professional growth through world-changing work and learning support In-person collaboration and work in a hybrid model, with 3 days per week spent in the office 5-week fully paid sabbatical at 5-year Floversary Flo Premium for friends & family, plus more health, pension and wellbeing perks Diversity, equity and inclusion Our strength is in our differences. At Flo, hiring is based on merit, skill and what you bring to the role – nothing else. We’re proud to be an equal opportunity employer, and we welcome applicants from all backgrounds, communities and identities. Read our privacy notice for job applicants .

Responsibilities: — Build and enhance biometrics, algorithms, and data-driven insights for the Mira App — Analyze hormone, cycle, app behavior, and user outcome data to identify patterns and product opportunities — Develop and validate models for ovulation prediction, cycle modeling, hormone interpretation, and personalized recommendations — Collaborate with Product, Design, Engineering, R&D, and Real-World Evidence Scientist teams to translate data into app features and evidence-backed insights — Support real-world evidence and clinical research projects through data extraction, exploratory analysis, modeling, and validation — Define model performance and validation frameworks, addressing uncertainty, subgroup performance, missing data, and edge cases — Improve data quality by identifying instrumentation gaps and recommending better data capture in the app — Document model logic, assumptions, limitations, and appropriate use cases clearly for both technical and non-technical teams — Work with Engineering to transition prototypes into production-ready app features or data pipelines Requirements: — Strong skills in Python and data science — Preferred experience with SQL and working with longitudinal, time-series, behavioral, health, wearable, physiological, or biomarker data — Experience with model interpretability and explainability methods such as SHAP and LIME — Strong judgment in model validation, including handling missing data, avoiding leakage, testing robustness, and evaluating performance across user segments — Ability to translate data into user-facing product features, metrics, recommendations, or algorithms — Experience building models, scores, or analytical frameworks that influenced product, clinical, or business decisions — Strong communication skills with both technical and non-technical stakeholders — High ownership, startup speed, and comfort working with ambiguity — Good scientific judgment, including distinguishing product insights from clinical or marketing claims — Experience moving machine learning or algorithmic features toward production Benefits: — Remote position — 40-hour workweek — Flexible working hours — Occasional overlap with the US team — Competitive salary with performance-based bonus system tied to OKRs — Fully remote environment supporting autonomy, ownership, and independence — Real opportunities for career growth, including the ability to shape, build, and develop teams as the company scales

Location: Intellias Meet your recruiter Katarzyna Sankowska katarzyna.sankowska@intellias.com https://www.linkedin.com... Vacancy details Software Engineering Python Engineer Principal Bulgaria, Colombia, Croatia, Poland, Portugal, Spain, Ukraine, United States Remote APPLY NOW REFER A FRIEND Intellias is looking for a Principle Python Engineer in Platform Architect team to join a healthcare technology initiative focused on building a modern, scalable platform for connected health data and digital healthcare experiences. This is a senior hands-on engineering role for someone who combines deep distributed-systems expertise, strong backend engineering skills, and architectural thinking . You will design and build platform capabilities used across multiple engineering teams, establish reusable architectural patterns, and help evolve a cloud-native healthcare platform operating at scale. What project we have for you The project is building a FHIR-based healthcare data platform that integrates data from EHRs, digital health applications, wearables, portals, and other healthcare data sources into a unified ecosystem. The platform operates at the intersection of health data interoperability, distributed systems, API platforms, cloud infrastructure, and AI-enabled healthcare experiences . Its architecture includes event-driven processing, federated GraphQL and REST APIs, FHIR services, high-volume data storage and analytics, and integration points for LLM- and agent-based capabilities. You will work horizontally across engineering teams rather than within a single product squad. The focus is on solving complex platform-level problems around scale, reliability, data consistency, interoperability, API governance, and production architecture . This is not an architecture-only position. You will be expected to design, prototype, build, review, and operate production systems , staying close to both the code and real-world system behavior. What you will do Design and build large-scale, event-driven distributed systems , including orchestrators, worker services, asynchronous processing pipelines, schema governance, and reliable consumer patterns. Define and implement platform architecture around Kafka , including topic and partition design, schema evolution, idempotency, consumer groups, retry strategies, and production failure handling. Own and evolve API architecture across REST and federated GraphQL , establishing scalable patterns for schema composition, versioning, contract evolution, and API governance. Design and build reusable platform capabilities that enable engineering teams to onboard new services and data sources with minimal custom implementation. Contribute directly to production code, prototypes, reference implementations, and technical proofs of concept. Partner with AI engineering teams to define reliable integration points for LLM- and agent-based capabilities , including retrieval, evaluation, guardrails, observability, latency, cost, and data-protection boundaries. Shape healthcare data architecture, including FHIR-based interoperability, terminology services, data-quality controls, high-volume storage, and analytical workloads . Drive architecture and technical design reviews, documenting key decisions, trade-offs, standards, and reusable engineering patterns. Use production telemetry, observability, and operational data to validate architectural decisions and troubleshoot complex distributed-system behavior. Establish architectural patterns for security, identity, multi-tenancy, scalability, resilience, and protected health data . Mentor senior engineers and technical leads in system design, distributed-systems engineering, and architectural decision-making. Collaborate closely with U.S.-based engineering, product, data, security, and AI stakeholders while working effectively across geographically distributed teams. Promote an AI-enabled engineering approach , using modern AI development tools where they improve engineering velocity, quality, analysis, documentation, testing, or architectural exploration. What you need for this 8+ years of software engineering experience , with significant experience designing and operating large-scale distributed systems. Strong hands-on backend engineering skills in Python and/or another modern backend language, with the ability to work effectively across a polyglot environment and solid experience building production-grade services and APIs. Proven experience designing event-driven architectures , ideally using Apache Kafka or comparable distributed messaging technologies. Deep understanding of distributed-system fundamentals, including partitioning, idempotency, back-pressure, eventual consistency, failure recovery, and consistency/availability trade-offs. Strong experience designing and evolving REST APIs and GraphQL-based architectures , including schema design, versioning, composition, and contract governance. Strong system-design skills and demonstrated ownership of complex systems from architecture through implementation and production operation. Experience with cloud-native architectures on AWS , including Kubernetes-based environments, observability, scalability, resilience, and production operations. Strong data architecture fundamentals: data modeling, storage strategies, query optimization, and designing systems for high-volume transactional and analytical workloads. Practical experience with modern data and storage technologies such as MongoDB, ClickHouse, Databricks, Spark , or comparable platforms. Understanding of identity and security concepts such as OIDC, OAuth/token exchange, authorization, multi-tenancy, and data isolation . Ability to work effectively across a polyglot technology environment and make architectural decisions based on system requirements rather than technology preference. Strong communication and technical leadership skills, including the ability to drive architecture discussions, technical design reviews, and engineering standards across multiple teams. Strong hands-on engineering mindset — able and willing to build production code, prototypes, reference implementations, and tooling rather than operating exclusively at an architectural level. Professional English sufficient for direct collaboration with U.S.-based engineering and product stakeholders. Experience with FHIR, HL7, EHR integrations, healthcare interoperability, or digital health platforms . Experience designing systems handling PHI/PII or other regulated and sensitive data . Nice to Have Familiarity with healthcare security and compliance requirements, including HIPAA-related architectural considerations. Experience with Java/Spring Boot, TypeScript/Node.js , or other languages used in large-scale backend ecosystems. Experience with federated GraphQL platforms such as WunderGraph Cosmo, Apollo Federation , or similar technologies. Practical experience integrating LLMs or AI agents into production systems , including retrieval, evaluation, guardrails, observability, latency, and cost considerations. Experience with AI-assisted software engineering tools such as Claude Code, GitHub Copilot, Cursor, or similar tools, and an ability to use them effectively throughout the engineering lifecycle. Experience establishing reusable platform patterns, architecture standards, or internal developer platforms used by multiple engineering teams. Previous Staff/Principal-level experience mentoring senior engineers and influencing architecture beyond a single team. What it’s like to work at Intellias At Intellias, where technology takes center stage, people always come before processes. By creating a comfortable atmosphere in our team, we empower individuals to unlock their true potential and achieve extraordinary results. That’s why we offer a range of benefits that support your well-being and charge your professional growth. We are committed to fostering equity, diversity, and inclusion as an equal opportunity employer. All applicants will be considered for employment without discrimination based on race, color, religion, age, gender, nationality, disability, sexual orientation, gender identity or expression, veteran status, or any other characteristic protected by applicable law. We welcome and celebrate the uniqueness of every individual. Join Intellias for a career where your perspectives and contributions are vital to our shared success. Skills AWS Kafka Python

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: - Design, implement, and maintain iOS application components that interface directly with WHOOP hardware over Bluetooth Low Energy (BLE), Wi-Fi, or other communication protocols. - Develop background and system-level iOS services that ensure reliable device connectivity, synchronization, and data transfer. - Leverage Swift and Combine to build resilient, efficient, and maintainable reactive pipelines for connectivity and data management. - Collaborate closely with embedded firmware, mobile, and cloud engineers to diagnose and resolve issues across a distributed system. - Drive continuous improvement of performance, power efficiency, and reliability in the WHOOP connectivity layer. - Champion strong software architectural principles for testable, scalable, maintainable software on your own team and across the organization. - Document new features and architecture using Jira, Confluence and preparing code using Github feature, develop, and master branches - 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. - 3+ years of professional iOS software engineering experience with a solid foundation in Swift, iOS system APIs, concurrency, and memory management. - Hands-on experience with Swift 6 Concurrency and background task processing for non-UI iOS features. - Demonstrated examples applying 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 with a focus on cross-functional problem solving. - 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 $150,000 - $215,000. 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 is seeking a Staff Product Manager to define and drive the product strategy for some of the most important health experiences at WHOOP, leading a group of cross-functional teams from ambitious vision through scaled member impact. In this role, you will own the strategy and outcomes for many of WHOOP’s core physiological and coaching experiences, including Health, Detection, Behavior, and Habits. You will be responsible for helping members better understand their bodies, identify meaningful changes in their health, and turn personalized insights into actions that improve their health and performance. You will lead cross-functional teams to deliver measurable improvements in member outcomes and engagement, while helping realize our broader vision of WHOOP as a premier personal health product. In this role, you will have the opportunity to work with a world-class team of professionals who are passionate about making a difference in people's lives. You will also have the chance to shape the future of WHOOP and the industry as a whole, as we continue to innovate and pioneer new technologies and approaches to performance optimization and positive health outcomes. RESPONSIBILITIES: - Define a compelling multi-year product vision and strategy for WHOOP’s health experiences, translating that vision into clear priorities, roadmaps, and measurable outcomes - Create clarity across multiple teams and functions, ensuring individual investments compound toward a coherent member experience and broader WHOOP health strategy - Lead products from 0→1 discovery through launch and scale, identifying opportunities, testing hypotheses, making difficult tradeoffs, and ensuring exceptional execution across software, algorithms, and hardware-enabled experiences - Gather customer needs and feedback through frequent research and feedback loops - Influence product strategy beyond your immediate area, raising the quality of product thinking, decision-making, and execution across the broader Product organization - Collaborate closely with multiple teams including software and hardware engineering, design, research, marketing, analytics, and performance science - Synthesize member research, data, science, design, and business context into clear product direction, enabling teams to solve problems rather than simply execute requirements - Navigate the unique product challenges of health—including scientific validity, member trust, uncertainty, personalization, and responsible communication of health information - Drive group to deliver a healthy and efficient cadence of product releases - Consistently deliver against success metrics and quantitative outcomes for the entire group - Stay up-to-date with industry trends, emerging technologies, and competitive offerings, and leverage the knowledge to identify opportunities and risks for the product and the business - Regularly obsess over the member experience and drive that level of obsession across your team and the org at large QUALIFICATIONS: - 7+ years building and scaling digital products - Deep analytical, prioritization, and problem-solving skills - Understanding of human physiology and the science of fitness and wellness, with a experience in applying this knowledge to product development and user engagement, strongly preferred - Track record of taking ambiguous, complex customer problems and turning them into simple, differentiated consumer experiences - Strong product sense and high customer empathy with an ability to envision opportunities that address user needs - Curious, positive attitude, and passionate about the fitness and wellness space. Past experience in the space strongly preferred - Significant experience building exceptional consumer products at scale; experience with mobile, health, wearables, or other highly personalized products strongly preferred - Excellent communication skills, with the ability to articulate complex concepts and ideas in a clear and concise manner, and to collaborate effectively with cross-functional teams and stakeholders - Entrepreneurial mindset, with the ability to think creatively and take calculated risks, and to thrive in a fast-paced, dynamic 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 $180,000 - $220,000. 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: UK, London Workplace: OnSite Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further. ABOUT THE ROLE The Robotics Applied Research Lead establishes and leads Humanoid’s AI research and engineering function. You decide which Physical AI data problems we work on, define how we test them, and stay directly involved in the most important technical work. You connect four areas that often sit apart: 1. Multimodal and embodied data 2. Transformer-based models and how data impacts robot policies 3. Rigorous offline and real-world evaluation of policies 4. Deployment of models in the data ecosystem This is a player-coach role. In the first year, at least half of your time is direct technical work: designing models and experiments, reviewing or writing code, inspecting data, debugging training, examining failures, and reviewing robot rollouts. You will also build a small research and engineering team. Add people only when the work requires them. MANDATE Turn Humanoid data and technical access into measurable advances in Physical AI systems. You own the answers, and the evidence, to questions such as: - Which model families should we train, adapt, or evaluate? - Which data produces meaningful gains in robot performance? - What coverage, sensors, annotations, and quality controls do the models require? - Which offline measurements predict real-world robot performance? - Where should we adapt existing open models rather than train from scratch? - What should Humanoid build itself, and what should it reuse or obtain through partners?   WHAT YOU'LL DO - Set the technical direction: Define a focused research and engineering roadmap. Select a small number of high-value bets with clear hypotheses, baselines, milestones, and stop criteria. Decide what we build, adapt, license, or access through partners. Drop work that no longer has a strong case. Likely scope includes vision-language-action models, multimodal Transformers, robot foundation models, action representation, imitation and reinforcement learning, world models, cross-embodiment transfer, data-efficient adaptation, and robot-policy evaluation. - Own Transformer research and engineering: Design, adapt, train, and evaluate Transformer-based systems for embodied tasks. Make the architecture and training decisions yourself. Start from strong existing models and baselines. Train from scratch only when evidence supports the cost. Build or review the critical code. - Connect models to data strategy: Define the data needed to train and evaluate the selected models. Specify sensors, modalities, annotations, mixtures, and quality controls. Measure the effect of data quality, diversity, and composition on model behavior. Distinguish data volume from data value. You set technical data requirements; you do not run annotation workforces or field collection. - Own evaluation: Establish offline and real-world evaluation systems, baselines, held-out conditions, and release gates. Guard against leakage, overfitting, and weak success definitions. Compare offline metrics with real-robot outcomes. A benchmark score alone is not a successful result. The evaluation must support a decision. - Move work onto physical systems: Take projects from problem definition through training, hardware integration, and real-world testing. Design safe test plans and staged deployment. Analyse failures across data, perception, model, control, hardware, and environment. Validate material claims on physical systems. - Build a small technical team: Recruit a few complementary researchers and engineers. Lead architecture, experiment, code, and failure reviews. Keep the team focused on validated results, not paper count, benchmark theatre, or headcount. - Represent the function and own responsible development: Explain the strategy to customers, partners, and investors. Convert customer needs into testable technical requirements. State uncertainty and limits clearly. Define safety constraints, supervision, and rollback paths for physical trials. Require reproducible evidence before making capability or safety claims.   WHAT WE'RE LOOKING FOR - Deep, direct Transformer expertise: This is a hard requirement. You must have personally made material architecture or training decisions in one or more substantial Transformer-based systems, such as vision Transformers, VLMs, VLAs, multimodal foundation models, Decision Transformers, diffusion Transformers, video Transformers, world models, or Transformer-based perception, planning, or control. You should be able to explain, in detail, how you represented inputs and outputs, tokenized data, fused modalities, structured attention and temporal context, chose losses, built the data mixture, distributed and monitored training, diagnosed failures, and what you personally changed and why it affected task performance. Using hosted model APIs, prompting language models, or running an unchanged public training recipe does not meet this requirement. - Physical AI or embodied-system experience: You have worked on machine learning for a system that perceives or acts in the physical world: robotics, autonomous vehicles, drones, industrial automation, manipulation, mobile robots, humanoids, wearable or egocentric systems, or similar. At least one substantial project progressed beyond an offline dataset into a real or operational physical system. Simulation-only experience is not sufficient unless you also owned credible sim-to-real transfer and physical validation. - Hands-on technical ability: You write and review high-quality Python. You work directly with PyTorch or an equivalent framework. You can read unfamiliar model and training code, design and debug experiments, inspect failures and rollout traces, work with large multimodal datasets, and make informed decisions about compute, memory, latency, and cost. - Technical leadership: You have set direction for important technical work: a research or engineering group, a major model or robotics programme, or a cross-functional project you owned. You have hired or mentored researchers or engineers, made architecture and resource decisions, stopped weak work, and taken a result into deployment. A management title is not required. Direct ownership is. - Evaluation, communication, and judgment: You design held-out tests, run controlled comparisons, find leakage and confounds, and report results with appropriate uncertainty. You separate evidence from belief, state what remains unknown, and reduce broad research questions to testable work. - Strong preference - Computer Vision: We are particularly interested in candidates who combine deep expertise in Transformer architectures with a strong background in computer vision. Relevant experience may include visual representation learning, vision-language models (VLMs), video and temporal modelling, object detection, segmentation, tracking, multi-view and egocentric vision, 3D and spatial reasoning, pose estimation, calibration, localisation, sensor fusion, or real-time vision systems. - Education: A PhD in machine learning, computer vision, robotics, computer science or a related field is valuable but not required. An equivalent record of original model work, technical leadership, and real-system delivery is sufficient. We care more about what you personally designed, trained, tested, and deployed than about a specific degree or number of years. NICE-TO-HAVE: - Technical expertise: Experience with VLA or robotic foundation models, action generation, diffusion or flow-matching policies, imitation learning, reinforcement learning, world models, robotic manipulation, cross-embodiment training, sim-to-real transfer, distributed training, ROS 2, or safety-critical systems. - Additional experience: Research publications, open-source contributions, early-stage company experience, or direct collaboration with technical customers and research partners.   WHAT WE OFFER - Competitive equity: stock options with meaningful upside as we scale. - 30+ paid days off, including 23 days of annual leave, all UK bank holidays, and additional company closure days (including Christmas–New Year shutdown). - Private healthcare, including virtual and in-person care. - Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings. - Free daily breakfast, catered lunch, and snacks in-office. - Work at the frontier - collaborate daily with world-class engineers, researchers, and product experts building the next generation of AI and humanoid robotics. - Real ownership - direct access to founding leadership, meaningful input on product direction, and the ability to drive key initiatives from day one.

Location: Paris, France Workplace: Hybrid HEALTH CAN’T WAIT. Not for symptoms to get worse. Not for a six‑month appointment. Not for a system to catch up. But that’s exactly how healthcare works today. You wait, until you can’t. Alan exists to end the wait. Health is a universal right, and we believe this right can only become real when it’s coupled with prevention. We need to stop treating health as something we repair and start treating it as something we build, every day. It’s not solely a question of willpower. It’s the healthcare system itself that needs to work for everyone, in a sustainable way. So we are building the new standard in prevention insurance. Alan is the first company that integrates insurance, prevention, and care into a single, acclaimed user experience. We are on an incredible journey to build a global leading company, with a unique culture https://alan.com/en/careers. We already partner with 40K+ companies of all sizes, serving more than 1M+ members, and have reached €800M+ in ARR. Prevention as the new norm. That's what we're building with our team of 1000+ people. If it speaks to you: we're hiring across France, Spain, Belgium, and Canada. And beyond. ⭐ ALAN PRECISION: WHY THIS EXISTS Your body knows before you do. The signals are there years before symptoms. And yet, in 2026, the system around us isn't catching them. 50% of non-communicable diseases (cardiovascular disease, type 2 diabetes, many cancers) are preventable with lifestyle changes, and we're not capturing them. Western countries have seen healthspan flatline for years, meaning we live longer, but not better. 46% of Europeans report mental health issues. The kind of deep, personalised health reading that could change this has been reserved for the few who could afford a 3,000€ check-up, and built for filing reports rather than changing lives. We don't accept that. Alan Precision is our bet on advanced prevention as the new norm of care. We combine biology, wearables, medical history, and lifestyle context, read it all as a connected system with AI supervised by physicians, and turn the result into a personalised protocol the member actually executes across sleep, nutrition, movement, stress, and supplementation. Then we retest, learn, and adapt. Health is a moving target. We move with it. Our ambition: make Alan Precision the reference for advanced prevention in Europe by 2030. ⭐ THE FOUNDING GROWTH OPPORTUNITY Alan Precision is live, with fast week-over-week growth. Now we need to turn a new category into a habit: hundreds of thousands of customers in the coming years, and a measurable impact on their health. You will be the first growth and go-to-market person on the crew, accountable for two numbers: how many members subscribe to Precision, and how many stay, retest and renew. The crew was launched by the founding team of ARO, acquired by Alan in 2026, to move fast and apply their learnings from building a preventive health company. It is a unique playground. You get the means of one of France's biggest scale-ups (1M+ members reachable from day one, an ecosystem of products like Mo, Play and Clinic, and a brand carried by ambassadors like Kylian Mbappé) with the culture and pace of a fast-growing startup: small crew, short loops, everything still to invent. 🔭 SCOPE: THREE GO-TO-MARKET ENGINES 1. Direct-to-member: turn Alan's 1M+ members into Precision subscribers. Offering paid services that members subscribe to by themselves inside Alan is a pretty new go-to-market for us, and you invent it. - Build the CRM and lifecycle engine: segments, triggers, sequences, in-app moments. - Use product data to decide who to push Precision to, when and where: which actions, traits or life moments make it relevant, and which do not. - Position Precision inside the surfaces of other product crews (Mo, Play, Clinic, Shop), with their teams and push the right message at the right time. - Own recurrence: activation after the first check-up, retests, renewals, reactivation. Acquisition without retention does not count. 2. B2B: get Alan's client companies to offer Precision to their employees. Almost everything is to define: business model, offer format, pricing logic, sales motion. - Work with our B2B Marketing team to understand the constraints of our Sales and Account Management teams, give them the right pitch and materials, and set the right targets with them. - Meet HR buyers yourself to learn what makes them pay. 3. Beyond Alan: take Precision to the open market. Once the internal engine runs: - Apply the full B2C health and e-commerce playbook to acquire users that are not insured by Alan - Your levers will be numerous, across paid acquisition, influence, partnerships, brand. Across all three: - Create demand in a market that is still being created. Talk to members every week, define the value proposition and the messages that make people want advanced prevention, and push for the product changes that go with them. - Build a brand people want, and explain it simply. Make advanced prevention desirable and easy to understand, with our Brand team, without overpromising. - Say what can be said. Health communication is regulated: medical biology, health claims, influencer rules, use of health data for targeting. You work with our medical and legal teams and turn these constraints into sharper, more credible messages. - Measure and decide. Funnels, cohorts, holdouts, channel performance. Pick the next bet, cut what does not work, share what we learned. - Own it end to end. From the idea of a strategy to the campaign live in production: you design it, write it, build it, ship it and iterate on it yourself. Sharp copywriting is a core part of the job. ⭐ IS IT YOU WE'RE LOOKING FOR? - Fluent in French and English. - You have grown a B2C product from its early days. Ideally as the first growth or go-to-market person, on a subscription in health, wellbeing or e-commerce. You can tell us which channels you picked, which ones you cut, and why. - A creative Swiss army knife who prioritises. You can do a bit of everything and you find channels and angles nobody has thought of yet. You know the job is to pick the right one, execute it, measure it and move to the next. - Lifecycle and CRM at scale. Customer.io http://Customer.io, Braze or equivalent: segmentation, behavioural triggers, in-app moments. - Analytical rigour. You read a funnel, build a cohort, set up a holdout and call a result. You measure success in subscribers, retention and revenue. - Hands-on, and a great writer. You love taking an idea all the way to production yourself: the strategy, the copy, the campaign, the dashboard. You write well and fast, and you turn a complex medical topic into a clear, desirable promise. - Customer-obsessed. You talk to members every week and you are just as comfortable in front of an HR director. - Fluent with AI. You build with AI every day: assets, copy variants, segments, analyses and even building your own tools. You use it to go faster, and you keep your judgment on what ships. - Driven by health, and rigorous about it. Health matters to you, and when something blocks, you find a way. You make people want to act with messages that hold up in front of a physician. Nice to haves - Experience with regulated health communication (claims, health data, medical services). - B2B2C, employee benefits or HR tech. - Paid acquisition and influencer marketing in B2C. - Pricing and packaging of subscription offers. - You own your own health: Whoop, Oura, blood tests, supplements are no secret for you. 🌍 HOW WE WORK - Location: Paris - Remote work: We offer remote work flexibility, but we value in-person collaboration. 🎯 Important note: we hire people, not roles. If you're excited about this opportunity but don't check every box, we'd love to hear from you. Everyone, no matter how underrepresented, should feel free to apply, as it can only bring learnings or success. If you identify yourself as a woman: Did you know that research shows women often apply only when meeting 100% of requirements? Remember, this is just a guide, not a checklist. We'll be thrilled to receive your application! 🔖 Check out our About Alan https://alan.com/about and Career https://alan.com/careers pages, as well as our Medium https://medium.com/alan, blog https://blog.alan.com/ and Glassdoor page https://www.glassdoor.com/Overview/Working-at-Alan-EI_IE1696043.11,15.htm for more info. You want to know more about Alan? - 🙌 Perks & Benefits https://alan.com/en/careers/a/salary-equity: Alaners are provided with a stimulating environment and perks ensuring they are happy, efficient and spend only high-quality time with co-workers. - 🤘 A strong culture https://alan.com/en/about/a/leadership-principles: People joining Alan are often surprised and delighted by our innovative working method. We have a set of cultural values that guide our approach to work.

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. Our wearable technology and analytics platform help individuals optimize recovery, training, and long-term health. WHOOP is seeking a Product Designer II to join the Design Systems team and help shape the systems that power consistent, high-quality experiences across WHOOP products. As an individual contributor, you'll own and drive meaningful work across the WHOOP Design System, partnering closely with design, engineering, and product teams to build scalable, accessible, and beautifully crafted solutions. You'll play a key role in defining the strategy and architecture of our next-generation design system, driving adoption across teams, and enabling designers and developers to create exceptional member experiences more efficiently. RESPONSIBILITIES: - Own and evolve key areas of the WHOOP Design System, designing and governing foundational elements including design tokens, styles, UI components, patterns, and layout templates with a high degree of craft, consistency, and attention to detail. - Help define the strategy and architecture for the next-generation WHOOP Design System, collaborating with engineering and design partners to build scalable solutions that support web, iOS, Android, and Figma while accounting for platform-specific and localization needs. - Own and maintain Design System Figma libraries, ensuring alignment with production code and established system architecture, while driving education, adoption, and effective use of the Design System across design, engineering, and product teams. - Collaborate with design leadership and cross-functional stakeholders to make informed system decisions, balancing visual quality, technical constraints, accessibility, compliance requirements, product timelines, and the needs of designers, developers, and members. - Contribute to quarterly and annual Design System roadmap planning, identifying opportunities to improve product quality and team efficiency while leveraging AI and emerging tools to accelerate workflows and streamline system development. - Champion design excellence by ensuring Design System elements meet WCAG 2.2 AA accessibility standards, sharing expertise, incorporating feedback, and helping elevate the quality and consistency of experiences across WHOOP. QUALIFICATIONS: - 3+ years of professional experience in product design, including at least 1 year of hands-on experience contributing to and governing a design system. - A portfolio demonstrating meaningful design system contributions, including examples of reusable components, system architecture, or improvements to designer, developer, and end-user experiences. - Strong visual and interaction design skills, with exceptional attention to detail and a demonstrated ability to create polished, accessible, and scalable UI solutions. - Advanced proficiency in Figma, including experience building and maintaining component libraries, variables, styles, and design system documentation. - Strong understanding of design system principles and architecture, with sufficient technical knowledge to collaborate effectively with engineering partners across web and mobile platforms. - Ability to independently drive design work from problem definition through execution, navigating ambiguity, incorporating cross-functional feedback, and balancing competing technical, accessibility, and product requirements. - Strong communication and collaboration skills, with the ability to articulate design decisions, influence stakeholders, and support the adoption of shared systems and standards. - 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. 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 - $170,000. 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.

About the Company and the Role Welltory is one of the world’s most popular health monitoring apps, with 17 million downloads across 130 countries. We combine biometrics, science, AI and design to help people understand their health and well-being. ▸ Named to the Inc. 5000 (2026) , the list of America’s fastest-growing companies ▸ Featured in Forbes, The Times, Tom’s Guide and Real Simple ▸ Cited in peer-reviewed research, including a Wiley journal and a PMC publication naming Welltory a reliable app for HRV-based stress assessment ▸ Semifinalist of the Digital Health & AI Awards We see support not just as a service channel, but as a product growth engine. We use AI to automate tasks, scale communication, and improve user satisfaction. And now, we’re looking for people who want to build the future of support with us. In our app, support is not just about fast replies — it's a way to help users make sense of their health and truly experience the value of our product. We’re looking for an Customer Experience Manager — someone who enjoys working with user requests, helping people understand complex data, testing AI-powered solutions, and improving user experience. What We’re Looking For 3+ years of experience in customer support, customer success, or operations — ideally in tech products where user experience and metrics matter Ability to handle technical requests — from bugs to subscriptions and data source syncing Hands-on experience with AI tools, LLMs, and automation Comfortable working with product, engineering, and AI teams Excellent English skills — both written and verbal — and the ability to write clear, informative messages Solid grasp of user psychology and a knack for solving complex cases Ability to break down complex topics into plain, user-friendly language Tech-savviness and curiosity — you enjoy figuring things out Interest in wearables and health data (HRV, sleep, stress) — you’ll explain what users’ numbers mean and dig into interesting complex issues. Comfortable with data: Amplitude/Metabase dashboards, basic SQL or Python, working with APIs. What You’ll Do Help users via Intercom, email, app stores, and social media Handle user requests related to subscriptions, data syncing, integrations, and more Work hands-on with Megan, our AI support agent that already resolves over 60% conversations, review and rate its answers, test new prompts and pipelines, and find where it fails. Automate workflows using no-code tools like n8n Improve key support metrics — reduce churn and refunds, speed up resolution time, and boost response quality Handle sensitive conversations with care: users with chronic conditions, health anxiety, and privacy/data-deletion requests (GDPR). Our Stack We love automation and lean on AI tools to scale. You don’t need to know all of them — what matters is your ability to learn quickly. Intercom ChatGPT, Claude Notion, Confluence Slack Asana Figma Amplitude, Metabase What We Offer Flexible hours & a high-trust culture — we care about results, not clock time Competitive salary, performance-based bonuses, and stock options Access to a therapist & employee support program Health insurance Support for personal learning and development Unlimited vacation policy Culture of openness, honesty, and high standards How to Apply Click Apply for this job and send your application. What happens next: You’ll get an email with a 30‑minute questionnaire to share your contact details, resume link, and experience. We review every application and will get back to you either way. If we’re a good match, the next steps are: Test assignment Culture Fit interview with HR Technical interview with the hiring manager We’re building AI-first support — at the intersection of communication and technology. Our approach helps people around the world better understand their health, feel genuinely cared for, and see real value in what we build. Does this sound like you? Send us a message — we read every application and will get back to you.

Location: Tampa, United States; Austin, United States Workplace: hybrid TeamViewer provides a leading Digital Workplace platform that connects people with technology—enabling, improving and automating digital processes to make work work better. Our software solutions harness the power of AI and shape the future of digitalization. We believe that our diverse teams and strong company culture are key to the success of our products and technologies, that hundreds of millions of users around the world and around 645,000 customers across all industries rely on. With more than 1,900 employees worldwide, we celebrate the unique perspectives and talents that each individual brings to the table and foster a dynamic work environment where new ideas thrive. Are you ready to join our team and make an impact? We are seeking a highly motivated Technical Project Manager to lead enterprise integration projects for our growing customer base. This role is ideal for someone with a strong software engineering background who can bridge the gap between customers, product teams, and developers. The ideal candidate brings hands-on experience with modern technologies (Java, Kotlin, TypeScript, JavaScript, REST APIs, Kubernetes, and enterprise integrations) along with strong communication and leadership skills. Responsibilities Lead enterprise integration projects end-to-end, aligning customer requirements, technical delivery, and post-launch support. Serve as the primary liaison between customers, engineering, and stakeholders, driving cross-functional collaboration across APIs, mobile, and infrastructure. Manage project scope, timelines, risks, and dependencies across multiple initiatives. Facilitate technical discussions and support architecture, API design, and integration decisions (including OpenAPI). Oversee testing, release coordination, and troubleshooting across application, integration, and network layers. Communicate status, risks, and escalations clearly while promoting Agile best practices and strong team collaboration. Requirements Bachelor’s degree in Computer Science, Engineering, or related field. Strong background in software development and enterprise integrations. Experience with REST APIs, OpenAPI, and integration workflows. Solid understanding of networking, system configuration, and troubleshooting. Strong problem-solving, organizational, and communication skills; experience in Agile environments preferred. Preferred Qualifications Experience as a TPM, Solutions Architect, Engineer, or Engineering Manager. Experience managing enterprise integration or implementation projects. Familiarity with IoT, wearables, or frontline workforce applications. Experience with cloud platforms and DevOps practices. What we offer Work location is Tampa, FL or Austin, TX Competitive compensation Flexible PTO and paid holidays 401(k) with employer matching Comprehensive Health insurance package including 100% employer-paid medical coverage Up to 12 weeks of Parental Leave Basic Life Insurance, Short-Term & Long-Term Disability, 100% employer-paid Quarterly team events and companywide celebrations Open door policy, business casual dress code, frequent all Hands and Leadership Lunches TeamViewer is an equal opportunities employer and is committed to building an inclusive culture where everyone feels welcome and supported. We C-A-R-E and understand that our diverse, values-driven culture makes us stronger. As we continue to grow as a company, we also focus on enabling our employees to grow both personally and professionally. We are proud to have an open and embracing workplace environment that will empower you to be your best no matter your gender, civil or family status, sexual orientation, religion, age, disability, education level, or race. If you require any accommodations or adjustments during the application or hiring process, including interview or onboarding support, please reach out to your Talent Acquisition Partner, who will be happy to support you. In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States. Please understand TeamViewer is unable to provide sponsorship for employment or work authorization now or in the future.

Качественный практический опыт в стартапах, операционном управлении, проектном менеджменте, консалтинге, финансах или аудите. Умение самостоятельно работать с задачами, документами, цифрами и внешними подрядчиками.

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. WHOOP is hiring a Embedded Engineering Manager to build and lead a new embedded team for a next-generation wearable. The team owns the firmware that members interact with directly on the device: how it responds to them, how it presents their data, and how it feels to use every day. It takes that firmware from early prototypes through new product introduction and into production. This role combines technical leadership with people management. You will lead a team of full-time and contract firmware engineers and grow it as the program scales. You will take part in architecture decisions with the program's technical leads, review the team's code, and own its delivery schedule. You won't be the team's primary developer, but you will be close enough to the code to step in when it helps. You will work closely with Product, Design, Hardware, and Quality, and with the firmware teams building sensors, connectivity, and power on the same device. RESPONSIBILITIES - Build, manage, and mentor a team of embedded engineers through hiring, onboarding, feedback, performance management, and career development. - Direct the work of contract engineers alongside full-time staff, holding both to the same design and code quality bar. - Lead the team's delivery of the member's on-device experience firmware, from prototype through production release. - Partner with the program's technical lead and senior engineers on architecture for responsive, power-efficient firmware on resource-constrained multi-core hardware. - Serve as a player-coach who reviews code and shapes designs, contributing directly when the team needs it. - Own the team's planning and delivery cadence, keeping scope, dependencies, and risk visible to partners and leadership. - Partner with Product and Design to turn member experience goals into firmware requirements that fit the hardware's memory, compute, and power budgets. - Set engineering practices for testing, hardware-in-the-loop validation, release readiness, and field diagnostics. - Foster a culture of high standards, direct feedback, accountability, psychological safety, and continuous learning. QUALIFICATIONS - 5+ years of embedded firmware development in C or C++, including experience as an engineering manager or team lead responsible for mentorship, feedback, and career development. - Experience shipping firmware in a consumer electronics product, from early hardware bring-up through production. - Hands-on experience with an RTOS (Zephyr, FreeRTOS, or similar) on microcontrollers or embedded SoCs. - Experience optimizing firmware for performance, memory, and power on constrained hardware. - Demonstrated ability to plan and deliver in ambiguous environments, including early-stage hardware programs where requirements are still forming. - Strong communication skills, including the ability to explain technical tradeoffs to Product, Design, and leadership. - Strong commitment to embracing and leveraging AI tools in day-to-day tasks, ensuring AI-assisted work meets the same quality bar as personal contributions. 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 $150,000-$215,000. 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 members to perform at a higher level through a deeper understanding of their bodies and daily lives. WHOOP is hiring a Staff Electrical R&D Lead to drive the advanced development of next-generation wearable sensing technologies. As part of the Hardware Engineering team, you will lead the exploration, design, characterization, and validation of novel sensing systems, developing a deep understanding of the complete signal chain - from the underlying physiological signals and sensor interfaces through analog and digital electronics to downstream system requirements. You will combine strong electrical engineering fundamentals, hands-on experimentation, and advanced data analysis to translate complex system behavior into architecture and design improvements that optimize sensing performance. This is a hands-on technical leadership role for an engineer who combines deep electrical expertise with exceptional systems thinking, analytical rigor, and technical judgment. You will guide and mentor engineers while working closely with Electrical, Mechanical, Firmware, Signal Processing, and WHOOP Labs teams to evaluate emerging technologies, define system requirements, identify performance limitations, and drive technical decisions. You will help establish the technical direction for advanced electrical development, balancing innovation with product feasibility, performance, and development timelines. RESPONSIBILITIES: - Lead advanced electrical development initiatives, driving technical direction from early-stage technology exploration and sensor evaluation through feasibility, prototyping, system characterization, and design validation - Develop a deep understanding of the complete sensing signal chain, including sensor behavior, analog front-end performance, electrical interfaces, physiological characteristics, and downstream system requirements, to inform electrical architecture decisions and optimize end-to-end sensing performance. - Define and execute experiments to characterize sensor and system behavior, isolate variables, identify performance limitations, and evaluate interactions across electrical, mechanical, physiological, and environmental conditions - Execute data analysis to translate experimental findings into actionable electrical design improvements, technical recommendations, and quantitative performance requirements. - Drive the evaluation, integration, and validation of new sensing technologies, establishing test methodologies, performance criteria, and system-level requirements that support reliable operation across real-world use cases - Partner closely with Electrical, Mechanical, Firmware, Signal Processing, and WHOOP Labs teams to understand system dependencies, evaluate technical tradeoffs, and ensure electrical designs support broader sensing system performance objectives - Lead complex technical investigations and root-cause analysis, combining first-principles engineering, bench measurements, system telemetry, and structured experimentation to identify risks and drive effective design solutions - Guide and mentor engineers across advanced development projects, setting technical priorities, providing design review and technical direction, and driving cross-functional alignment while maintaining strong hands-on engineering contributions - Translate ambiguous technical challenges into actionable development plans, proactively communicating technical risks, recommendations, and progress while balancing engineering rigor with product and schedule objectives - Remain hands-on with circuit design and simulation, prototype bring-up, hardware debugging, and design iteration, directly contributing to critical technical investigations and design decisions QUALIFICATIONS: - Bachelor's degree or higher in Electrical Engineering or a related technical field, or equivalent practical experience - 8+ years of relevant electrical engineering, hardware R&D, or sensing systems development experience, with demonstrated technical leadership and ownership of complex engineering projects - Deep electrical engineering fundamentals across analog and digital circuit design, sensor interfaces, signal integrity, noise analysis, and system-level electrical architecture - Strong systems-level understanding of sensing technologies - Exceptional hands-on experimentation, hardware characterization, and debugging skills, with the ability to apply first-principles engineering and structured analysis to complex technical challenges - Proficiency in Python or equivalent tools - Demonstrated ability to lead ambiguous, cross-functional technical initiatives, guide engineering decisions, mentor other engineers, and drive technical challenges to resolution - 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