Oura

<div><p>Our mission at ŌURA is to empower every person to own their inner potential. Our award-winning products help our global community gain a deeper knowledge of their readiness, activity, and sleep quality by using their Oura Ring and its connected app. We've helped millions of people understand and improve their health by providing daily insights and practical steps to inspire healthy lifestyles.</p>
<p>Empowering the world starts with living <a href="https://ouraring.com/about-us" rel="noopener noreferrer ugc" target="_blank">our values</a> and empowering our team. As a quickly growing company focused on helping people live healthier and happier lives, we ensure that our team members have what they need to do their best work — both in and out of the office. </p></div><p>We are looking for a Senior MLOps Engineer to join our Data Engineering &amp; Analytics team.</p>
<p>In this role, your primary focus will be leading the design and evolution of the platforms, workflows, and governance practices that enable machine learning teams to develop, train, deploy, and operate ML systems reliably at scale. You will work across multiple data science teams and business domains, shaping a strong development environment, driving model lifecycle improvements, and helping set the standards that keep our ML systems scalable, maintainable, and well governed. The role sits within a broader shared cloud and data platform ecosystem, so you will also collaborate with adjacent platform teams and contribute to practical infrastructure, deployment, and access patterns that help DS teams move faster.</p>
<p>This is a remote role in the US.</p>
<p><span><strong>What you will do:</strong></span></p>
<h3><span><strong>Primary Focus – MLOps Platform and ML Enablement</strong></span></h3>
<ul>
<li>Lead the development and improvement of the environment, platform capabilities, and operational foundations that support machine learning workflows across Oura.</li>
<li>Drive the design and unification of workflows and tooling that support reliable training, orchestration, and deployment of ML systems.</li>
<li>Partner with data scientists and engineers to improve the end-to-end ML lifecycle, from experimentation and training through deployment and governance, while making production ML systems easier to manage and maintain.</li>
<li>Define and evolve model governance practices, including reproducibility, lineage, access controls, and operational standards.</li>
<li>Support and help standardize ML tooling and workflows such as experiment tracking, model packaging, and promotion processes, with MLflow or similar tooling as a key part of the stack.</li>
<li>Collaborate with teams across multiple business domains to onboard new use cases, prioritize platform improvements, and raise the maturity of shared ML capabilities.</li>
<li>Identify and resolve reliability, scalability, and cost-efficiency issues in ML infrastructure running in the cloud.</li>
<li>Drive standards, automation, infrastructure-as-code, CI/CD, and documentation that make ML development easier and more consistent across multiple DS teams.</li>
</ul>
<h3><span><strong>Cross-functional Growth Areas</strong></span></h3>
<ul>
<li>Improve infrastructure automation, CI/CD, and observability for ML workflows and supporting platform components.</li>
<li>Contribute to workflow orchestration and platform integrations that support model training and batch inference at scale.</li>
<li>Partner with data engineering and platform teams to align ML systems with broader data platform and governance practices.</li>
<li>Help shape best practices for how teams build, ship, and maintain production ML systems across Oura.</li>
</ul>
<h2><strong>We would love to have you on our team if you have</strong></h2>
<ul>
<li>5+ years of experience in MLOps, machine learning engineering, platform engineering, data engineering, or a closely related field.</li>
<li>Hands-on experience running production workloads in AWS and a strong understanding of cloud infrastructure concepts.</li>
<li>Strong understanding of the machine learning lifecycle, including training workflows, deployment patterns across ML systems, monitoring, and ongoing model maintenance.</li>
<li>Familiarity with data science ways of working and the tooling that supports experimentation and model operations, such as MLflow.</li>
<li>Familiarity with workflow orchestration, infrastructure-as-code, and CI/CD practices for ML or data platforms.</li>
<li>Familiarity with secure access patterns, governance controls, and shared cloud or data platform services that support ML work at scale.</li>
<li>Experience building or supporting production-grade ML workflows with a focus on reliability, reproducibility, and maintainability.</li>
<li>Proven ability to drive standards and improvements across multiple teams and business domains.</li>
<li>Strong communication and collaboration skills, with the ability to work effectively with both technical and non-technical stakeholders.</li>
<li>Comfort operating in a distributed team with a high degree of ownership and autonomy.</li>
</ul>
<h2><strong>What makes you stand out</strong></h2>
<ul>
<li>Experience supporting multiple data science teams through shared MLOps platforms or tooling.</li>
<li>Prior experience with Databricks.</li>
<li>Experience with governance and operational controls for ML systems at scale.</li>
<li>Experience driving cross-team tooling or workflow standardization in ML or data platforms.</li>
<li>Experience working in a high-growth environment with multiple stakeholders and evolving ML platform needs.</li>
</ul>
<p><br /><br /></p>
<p><strong>Benefits </strong></p>
<p>At Oura, we care about you and your well-being. Everyone here at Oura has a ring of their own and we are continually looking to improve employee health.</p>
<p>What we offer:</p>
<ul>
<li>Competitive salary and equity packages</li>
<li>Health, dental, vision insurance, and mental health resources</li>
<li>An Oura Ring of your own plus employee discounts for friends &amp; family</li>
<li>20 days of paid time off plus 13 paid holidays plus 8 days of flexible wellness time off</li>
<li>Paid sick leave and parental leave</li>
</ul>
<p>Oura takes a market-based approach to pay, which may vary depending on your location. US locations are categorized into tiers based on a cost of labor index for that geographic area. While most offers will be closer to the starting range, successful candidates' pay will be determined based on job-related skills, experience, qualifications, work location, internal peer equity, and market conditions. These ranges may be modified in the future.</p>
<ul>
<li>Region 1 $172,550 - $203,000</li>
<li>Region 2 $158,950 - $187,000</li>
<li>Region 3 $147,900 - $174,000</li>
</ul>
<p>A recruiter can determine your zones/tiers based on your US location.</p>
<p>We are not considering candidates residing in the following states: Alaska (AK), Delaware (DE), Iowa (IA), Mississippi (MS), Nebraska (NE), South Dakota (SD), West Virginia (WV), and Wisconsin (WI)</p><div><div>
<p>ŌURA is proud to be an equal opportunity workplace. We celebrate diversity and are committed to creating an inclusive environment for all employees. Individuals seeking employment at ŌURA are considered without regard to age, ancestry, color, gender (including pregnancy, childbirth, or related medical conditions), gender identity or expression, genetic information, marital status, medical condition, mental or physical disability, national origin, protected family care or medical leave status, race, religion (including beliefs and practices or the absence thereof), sexual orientation, military or veteran status, or any other characteristic protected by federal, state, or local laws. We will not tolerate discrimination or harassment based on any of these characteristics.</p>
<p>We will work to ensure individuals with disabilities are provided reasonable accommodation to participate in the interview process, to perform essential job functions, and to receive other benefits and privileges of employment.</p>
<p>Disclaimer: Beware of fake job offers!<br />We’ve been alerted to scammers posing as ŌURA recruiters, especially for remote roles. Please note:</p>
<ul>
<li>Our jobs are listed only on the ŌURA Careers page and trusted job boards.</li>
<li>We will never ask for personal information like ID or payment for equipment upfront.</li>
<li>Official offers are sent through Docusign after a verbal offer, not via text or email.</li>
</ul>
<p>Stay cautious and protect your personal details.</p>
<p>To all recruitment agencies: ŌURA does not accept agency resumes. Please do not forward resumes to our jobs alias, ŌURA employees, or any other organization's location. ŌURA is not responsible for any fees related to unsolicited resumes.</p>
</div></div>

Senior MLOps Engineer

<div><p>Our mission at ŌURA is to empower every person to own their inner potential. Our award-winning products help our global community gain a deeper knowledge of their readiness, activity, and sleep quality by using their Oura Ring and its connected app. We've helped millions of people understand and improve their health by providing daily insights and practical steps to inspire healthy lifestyles.</p>
<p>Empowering the world starts with living <a href="https://ouraring.com/about-us" rel="noopener noreferrer ugc" target="_blank">our values</a> and empowering our team. As a quickly growing company focused on helping people live healthier and happier lives, we ensure that our team members have what they need to do their best work — both in and out of the office. </p></div><p>We are seeking a Senior ML Algorithm Scientist to join our Future Physiology team. This is a high-impact opportunity for a deeply technical, hands-on expert who thrives in fusing physiology, machine learning, and real-world biosignal R&amp;D. You will play a pivotal role in advancing Oura’s next generation of features, turning noisy, multimodal data from sensors (like PPG, motion, and temperature) into reliable, scalable, and productizable health metrics that reach millions of users.</p>
<p><strong>What You Will Do:</strong></p>
<ul>
<li>Take responsibility for the entire ML and algorithm development pipeline, from signal processing to training, evaluating, and scaling robust models.</li>
<li>Develop and deploy advanced ML algorithms leveraging deep learning architectures (e.g., Transformers, RNNs, probabilistic models) alongside classical signal processing to derive meaningful health insights across diverse populations.</li>
<li>Design robust methods for fusing time-series data from multiple sensors (e.g., PPG, motion, temperature, spectroscopy) to extract reliable physiological metrics while managing everyday issues like motion artifacts.</li>
<li>Leverage Oura’s large-scale cloud datasets to refine models, while also working hands-on with prototype sensors and evaluation kits to see how new hardware performs in the real world.</li>
<li>Work directly with hardware, firmware, software, and data infrastructure teams to align on feature goals, ensure technical feasibility within the ring's physical limits, and smoothly integrate algorithms.</li>
<li>Translate complex technical concepts and your technical results into clear narratives for senior stakeholders, helping to guide our future research direction and roadmap alignment.</li>
</ul>
<p>This is a role in London, UK. Travelling to US and Finland might be required.</p>
<p><strong>What you'll bring:</strong></p>
<ul>
<li>5–7+ years of experience in machine learning, biosignal processing, sensor fusion, and analyzing real-world, multimodal time-series data.</li>
<li>Deep proficiency in Python, practical experience with tools like PyTorch or TensorFlow, and scientific computing libraries (NumPy, SciPy, pandas, matplotlib).</li>
<li>A strong understanding of the physiology underlying the signals. You need to know what the data actually represents physically, combined with the engineering intuition to solve complex, noisy problems.</li>
<li>Familiarity with scalable data systems and a track record of getting ML models out of the lab and into production.</li>
<li>An advanced degree (Master’s or PhD) in Computer Science, Machine Learning, Biomedical Engineering, Signal Processing, Applied Math, or a related field (or equivalent practical experience).</li>
<li>Comfortable navigating uncertainty and fast-paced iteration, taking complete accountability for the algorithm journey from early feasibility testing to production-ready integration.</li>
</ul>
<p><strong>Nice to have:</strong></p>
<ul>
<li>Direct experience working with consumer health products, wearable sensors, smart rings, or digital health applications.</li>
</ul>
<div><strong>Benefits:</strong><br />At Oura, we care about you and your well-being. Everyone here at Oura has a ring of their own and we are continually looking to improve employee health and add to our benefits!<br /><br /><strong>What we offer:</strong></div>
<ul>
<li>Competitive salary</li>
<li>An Oura Ring of your own + employee discounts for friends &amp; family</li>
<li>Flexible working hours and remote working arrangements</li>
<li>Amazing culture of collaborative and passionate coworkers</li>
</ul>
<div>If this sounds like the next step for you, please send us your application and CV as soon as possible.</div><div><div>
<p>ŌURA is proud to be an equal opportunity workplace. We celebrate diversity and are committed to creating an inclusive environment for all employees. Individuals seeking employment at ŌURA are considered without regard to age, ancestry, color, gender (including pregnancy, childbirth, or related medical conditions), gender identity or expression, genetic information, marital status, medical condition, mental or physical disability, national origin, protected family care or medical leave status, race, religion (including beliefs and practices or the absence thereof), sexual orientation, military or veteran status, or any other characteristic protected by federal, state, or local laws. We will not tolerate discrimination or harassment based on any of these characteristics.</p>
<p>We will work to ensure individuals with disabilities are provided reasonable accommodation to participate in the interview process, to perform essential job functions, and to receive other benefits and privileges of employment.</p>
<p>Disclaimer: Beware of fake job offers!<br />We’ve been alerted to scammers posing as ŌURA recruiters, especially for remote roles. Please note:</p>
<ul>
<li>Our jobs are listed only on the ŌURA Careers page and trusted job boards.</li>
<li>We will never ask for personal information like ID or payment for equipment upfront.</li>
<li>Official offers are sent through Docusign after a verbal offer, not via text or email.</li>
</ul>
<p>Stay cautious and protect your personal details.</p>
<p>To all recruitment agencies: ŌURA does not accept agency resumes. Please do not forward resumes to our jobs alias, ŌURA employees, or any other organization's location. ŌURA is not responsible for any fees related to unsolicited resumes.</p>
</div></div>

Senior ML Algorithm Scientist

<div><p>Our mission at ŌURA is to empower every person to own their inner potential. Our award-winning products help our global community gain a deeper knowledge of their readiness, activity, and sleep quality by using their Oura Ring and its connected app. We've helped millions of people understand and improve their health by providing daily insights and practical steps to inspire healthy lifestyles.</p>
<p>Empowering the world starts with living <a href="https://ouraring.com/about-us" rel="noopener noreferrer ugc" target="_blank">our values</a> and empowering our team. As a quickly growing company focused on helping people live healthier and happier lives, we ensure that our team members have what they need to do their best work — both in and out of the office. </p></div><p>We are looking for an experienced Senior Data Scientist to partner closely with Marketing, Finance, Retail, and Product to translate marketing data into better decisions and business outcomes. Your work will help Oura improve marketing efficiency, optimize spend allocation, strengthen channel and revenue measurement foundations, and build scalable decision systems that make our go-to-market organization smarter over time.</p>
<p>This is a full-stack applied data science role that requires strong data foundations, pragmatic model development, and the ability to turn technical models into operational and strategic action. We are especially excited about candidates who have experience going beyond standalone modeling to build AI-enabled decision systems that influence how teams prioritize, allocate budget, and take action.</p>
<h2>What You Will Do</h2>
<ul>
<li>Develop models and optimization approaches that improve upper-funnel marketing performance, such as spend allocation, channel mix optimization, budget pacing, media efficiency measurement, audience strategy, and forecasted revenue impact.</li>
<li>Design and operationalize decision systems that help the business move from static reporting to repeatable, data-informed action, including recommendation engines, scenario planning tools, and AI-assisted workflows.</li>
<li>Lead experimentation and causal measurement across upper-funnel marketing programs, helping teams distinguish signal from noise and make better investment decisions across channels, campaigns, and retail partnerships.</li>
<li>Build and maintain trusted data foundations that unify marketing, revenue, retail, and product data across channels and systems to establish performance measurement metrics.</li>
<li>Build dashboards, reporting layers, and recurring analytical products that give leaders clear visibility into awareness and acquisition funnel health, campaign efficiency, retail performance, and revenue contribution.</li>
<li>Partner with Marketing and other stakeholders to define the highest-leverage growth and efficiency problems, translate ambiguous business questions into analytical frameworks, and drive marketing spend decisions through rigorous data science.</li>
<li>Collaborate with Data Engineering and business partners to improve data quality, instrumentation, metric definitions, and pipeline reliability across the marketing data ecosystem.</li>
<li>Apply AI/ML methods where they create practical leverage, including predictive modeling, optimization, and LLM-enabled workflows that improve decision speed, quality, or scale.</li>
<li>Translate complex analytical work into clear recommendations for non-technical and executive stakeholders, influencing roadmap, budget, and growth strategy decisions.</li>
<li>Help raise the technical bar for the team through strong project ownership, documentation, peer review, mentoring, and thoughtful cross-functional collaboration.</li>
</ul>
<h2>Requirements</h2>
<p>We would love to have you on our team if you have:</p>
<ul>
<li>6+ years of experience in data science, machine learning, or advanced analytics, with a track record of owning high-impact business problems end to end.</li>
<li>Strong domain experience supporting Marketing, Growth, Retail, or other go-to-market functions in a consumer, e-commerce, retail, or digital business.</li>
<li>Hands-on experience building marketing data science solutions such as spend optimization models, channel or campaign measurement frameworks, media mix or incrementality approaches, propensity models, budget planning systems, or upper-funnel decisioning systems.</li>
<li>Demonstrated experience building not just models, but decision systems that operationalize analytical outputs into business workflows and recurring decisions.</li>
<li>Proven experience of data engineering intuition, including experience unifying and transforming data across multiple systems to create reliable, scalable datasets for downstream analysis, experimentation, and modeling.</li>
<li>Experience with experimentation, causal inference, forecasting, and optimization methods used to support business planning and growth investment decisions.</li>
<li>Strong proficiency in SQL (dbt) and Python, with experience building analytical data models, machine learning workflows, and production-quality measurement systems.</li>
<li>Experience applying AI techniques in practical business settings, ideally including LLM-enabled workflows, recommendation systems, decision support tools, or other AI-native products that augment human decision-making.</li>
<li>Experience working with modern cloud and data platforms such as Databricks, AWS, dbt, Snowflake, or similar tools.</li>
<li>Proven ability to communicate complex analytical concepts clearly to non-technical partners and to translate model outputs into recommendations the business can act on.</li>
<li>Proven ability to partner effectively with cross-functional and distributed teams in fast-moving environments.</li>
</ul>
<h2>Nice to Have</h2>
<ul>
<li>Experience in e-commerce, DTC, retail, or omnichannel growth environments.</li>
<li>Experience with marketing mix modeling, incrementality testing, attribution, or budget planning workflows.</li>
<li>Experience connecting marketing, retail, and commercial performance data to downstream revenue outcomes.</li>
<li>Experience in digital health, consumer technology, or wearable products.</li>
<li>Experience mentoring other data scientists and helping shape cross-functional analytical roadmaps.</li>
</ul>
<h2>Benefits</h2>
<p>At Oura, we care about you and your well-being. Everyone here at Oura has a ring of their own and we are continually looking to improve employee health.</p>
<p>What we offer:</p>
<ul>
<li>Competitive salary and equity packages</li>
<li>Health, dental, vision insurance, and mental health resources</li>
<li>An Oura Ring of your own plus employee discounts for friends &amp; family</li>
<li>20 days of paid time off plus 13 paid holidays plus 8 days of flexible wellness time off</li>
<li>Paid sick leave and parental leave</li>
</ul>
<p> </p>
<p>Oura takes a market-based approach to pay, which may vary depending on your location. US locations are categorized into tiers based on a cost of labor index for that geographic area. While most offers will be closer to the starting range, successful candidates' pay will be determined based on job-related skills, experience, qualifications, work location, internal peer equity, and market conditions. These ranges may be modified in the future.</p>
<ul>
<li>Region 1 $172,550 - $203,000</li>
<li>Region 2 $158,950 - $187,000</li>
<li>Region 3 $147,900 - $174,000</li>
</ul>
<p>A recruiter can determine your zones/tiers based on your U.S. location.</p>
<p>We are not considering candidates residing in the following states: Alaska (AK), Delaware (DE), Iowa (IA), Mississippi (MS), Nebraska (NE), South Dakota (SD), West Virginia (WV), and Wisconsin (WI)</p><div><div>
<p>ŌURA is proud to be an equal opportunity workplace. We celebrate diversity and are committed to creating an inclusive environment for all employees. Individuals seeking employment at ŌURA are considered without regard to age, ancestry, color, gender (including pregnancy, childbirth, or related medical conditions), gender identity or expression, genetic information, marital status, medical condition, mental or physical disability, national origin, protected family care or medical leave status, race, religion (including beliefs and practices or the absence thereof), sexual orientation, military or veteran status, or any other characteristic protected by federal, state, or local laws. We will not tolerate discrimination or harassment based on any of these characteristics.</p>
<p>We will work to ensure individuals with disabilities are provided reasonable accommodation to participate in the interview process, to perform essential job functions, and to receive other benefits and privileges of employment.</p>
<p>Disclaimer: Beware of fake job offers!<br />We’ve been alerted to scammers posing as ŌURA recruiters, especially for remote roles. Please note:</p>
<ul>
<li>Our jobs are listed only on the ŌURA Careers page and trusted job boards.</li>
<li>We will never ask for personal information like ID or payment for equipment upfront.</li>
<li>Official offers are sent through Docusign after a verbal offer, not via text or email.</li>
</ul>
<p>Stay cautious and protect your personal details.</p>
<p>To all recruitment agencies: ŌURA does not accept agency resumes. Please do not forward resumes to our jobs alias, ŌURA employees, or any other organization's location. ŌURA is not responsible for any fees related to unsolicited resumes.</p>
</div></div>

Senior Data Scientist - Marketing

<div><p>Our mission at ŌURA is to empower every person to own their inner potential. Our award-winning products help our global community gain a deeper knowledge of their readiness, activity, and sleep quality by using their Oura Ring and its connected app. We've helped millions of people understand and improve their health by providing daily insights and practical steps to inspire healthy lifestyles.</p>
<p>Empowering the world starts with living <a href="https://ouraring.com/about-us" rel="noopener noreferrer ugc" target="_blank">our values</a> and empowering our team. As a quickly growing company focused on helping people live healthier and happier lives, we ensure that our team members have what they need to do their best work — both in and out of the office. </p></div><h2>Role Summary</h2>
<p>We are seeking a Senior Forecast Analyst – Demand Planning to help strengthen Ōura’s forecasting capabilities through better analytics, improved data integration, and more scalable demand methodologies.</p>
<p>In this senior individual contributor role, you will act as the analytical engine behind demand planning — improving how we translate signals into forecasts, building stronger statistical baselines, and helping the organization move toward more advanced machine learning-enabled forecasting over time. You will work closely with Demand Planning, Supply Chain, Data, Finance, and Systems partners to improve forecast quality, modernize inputs and tooling, and build decision-ready insights that help the business plan with greater confidence.</p>
<p>This role is ideal for someone who is deeply quantitative, highly practical, and excited to apply data science and analytical rigor to real planning decisions in a fast-growing consumer hardware business.</p>
<h2>What You Will Do</h2>
<h3>Forecast Methodology &amp; Model Development</h3>
<ul>
<li>Develop, improve, and operationalize forecasting methodologies that increase accuracy, responsiveness, and scalability across Ōura’s planning processes.</li>
<li>Build and refine statistical baseline forecasts using historical demand, seasonality, promotions, product transitions, channel mix, and other key business drivers.</li>
<li>Help drive Ōura’s evolution toward machine learning-enabled forecasting by identifying the highest-value use cases, testing approaches, and translating outputs into practical planning decisions.</li>
<li>Evaluate forecast performance using error diagnostics, bias analysis, and other relevant metrics, and turn findings into clear recommendations for improvement.</li>
<li>Standardize forecasting logic, assumptions, and documentation so methods are transparent, repeatable, and easier to scale.</li>
</ul>
<h3>Data Integration &amp; Planning Infrastructure</h3>
<ul>
<li>Partner with Data and Systems teams to improve the structure, reliability, and integration of demand planning inputs across forecasting workflows.</li>
<li>Help connect data across shipments, POS, inventory, promotions, product lifecycle events, and other planning inputs so teams can work from a more complete and trusted demand signal.</li>
<li>Identify opportunities to reduce manual work and improve planning speed through better tooling, automation, and analytical design.</li>
<li>Support business requirements and validation for planning system enhancements, ensuring analytical and forecasting use cases are well represented.</li>
</ul>
<h3>Decision Support &amp; Cross-Functional Analytics</h3>
<ul>
<li>Build scenario models, dashboards, and analytical tools that help the business understand demand risk, upside, downside, and operational implications.</li>
<li>Support monthly, quarterly, and long-range planning cycles with clear, decision-ready analysis.</li>
<li>Partner closely with Demand Planning and Supply Chain to ensure forecasting outputs are actionable within supply, inventory, and execution processes.</li>
<li>Translate complex analytical findings into concise business narratives for technical and non-technical stakeholders.</li>
<li>Bring structure to ambiguous forecasting problems by combining analytical depth with sound business judgment.</li>
</ul>
<h3>Continuous Improvement</h3>
<ul>
<li>Improve core forecasting metrics, reporting, and workflows so the team can focus more on decisions and less on manual data gathering.</li>
<li>Help define the future-state demand planning capability, including stronger baselines, better model governance, and more scalable analytics.</li>
<li>Contribute to a culture of experimentation and evidence-based planning by testing new methods and measuring their business impact.</li>
</ul>
<h2>What We’re Looking For</h2>
<h3>Must-Have Qualifications</h3>
<ul>
<li>6+ years of experience in forecasting, demand planning, analytics, data science, operations research, or a closely related field.</li>
<li>Strong experience building and applying statistical forecasting methods in a business environment.</li>
<li>Advanced SQL skills and strong proficiency in Python, R, or a similar analytical programming language used for modeling and forecasting.</li>
<li>Demonstrated ability to work with large, messy data sets and improve data quality, data structure, and analytical reliability.</li>
<li>Experience developing forecasting models, evaluating model performance, and using diagnostics to improve outcomes over time.</li>
<li>Strong understanding of planning and operational processes, ideally in consumer products, hardware, retail, or supply chain environments.</li>
<li>Ability to translate analytical work into clear business recommendations that influence planning decisions and cross-functional action.</li>
<li>Experience partnering effectively with both technical and non-technical stakeholders across functions.</li>
<li>Strong ownership mindset and the ability to operate effectively in a fast-paced environment with evolving processes and priorities.</li>
</ul>
<h3>Nice-to-Have Qualifications</h3>
<ul>
<li>Experience with machine learning approaches for time-series forecasting or demand sensing in production or near-production settings.</li>
<li>Familiarity with planning platforms, BI tools, and modern data environments used in operational planning.</li>
<li>Background in consumer electronics, wearables, premium hardware, or subscription-adjacent businesses.</li>
<li>Experience helping design or scale forecasting processes in a high-growth company.</li>
<li>Experience with causal modeling, experimentation, or advanced scenario planning techniques.</li>
</ul>
<h2>Success in This Role</h2>
<ul>
<li>Forecasting at Ōura becomes more scalable, data-driven, and reliable through stronger baseline methods and clearer performance measurement.</li>
<li>Demand Planning and Supply Chain teams have better inputs, better visibility into risk, and greater confidence in forecast-based decisions.</li>
<li>Demand data becomes more integrated, more trustworthy, and easier to use across planning workflows.</li>
<li>New methodologies improve forecast quality without adding unnecessary complexity to the planning process.</li>
</ul>
<h2>Growth Opportunity</h2>
<p>This is a high-impact individual contributor role with meaningful ownership over forecasting methodology, demand analytics, and planning infrastructure. Over time, this role can expand its influence across forecasting strategy, planning systems, and analytical capability-building as Ōura continues to scale.</p>
<h2>Benefits</h2>
<p>At Oura, we care about you and your well-being. Everyone here at Oura has a ring of their own and we are continually looking to improve employee health.</p>
<p>What we offer:</p>
<ul>
<li>Competitive salary and equity packages</li>
<li>Health, dental, vision insurance, and mental health resources</li>
<li>An Oura Ring of your own plus employee discounts for friends &amp; family</li>
<li>20 days of paid time off plus 13 paid holidays plus 8 days of flexible wellness time off</li>
<li>Paid sick leave and parental leave</li>
</ul>
<p>This role is based in San Francisco, CA. We are only considering candidates who currently reside in the San Francisco Bay Area.</p>
<ul>
<li>Region 1 $143,000 - 169,000</li>
</ul>
<p> </p><div><div>
<p>ŌURA is proud to be an equal opportunity workplace. We celebrate diversity and are committed to creating an inclusive environment for all employees. Individuals seeking employment at ŌURA are considered without regard to age, ancestry, color, gender (including pregnancy, childbirth, or related medical conditions), gender identity or expression, genetic information, marital status, medical condition, mental or physical disability, national origin, protected family care or medical leave status, race, religion (including beliefs and practices or the absence thereof), sexual orientation, military or veteran status, or any other characteristic protected by federal, state, or local laws. We will not tolerate discrimination or harassment based on any of these characteristics.</p>
<p>We will work to ensure individuals with disabilities are provided reasonable accommodation to participate in the interview process, to perform essential job functions, and to receive other benefits and privileges of employment.</p>
<p>Disclaimer: Beware of fake job offers!<br />We’ve been alerted to scammers posing as ŌURA recruiters, especially for remote roles. Please note:</p>
<ul>
<li>Our jobs are listed only on the ŌURA Careers page and trusted job boards.</li>
<li>We will never ask for personal information like ID or payment for equipment upfront.</li>
<li>Official offers are sent through Docusign after a verbal offer, not via text or email.</li>
</ul>
<p>Stay cautious and protect your personal details.</p>
<p>To all recruitment agencies: ŌURA does not accept agency resumes. Please do not forward resumes to our jobs alias, ŌURA employees, or any other organization's location. ŌURA is not responsible for any fees related to unsolicited resumes.</p>
</div></div>

Senior Forecast Analyst Demand Planning

<div><p>Our mission at ŌURA is to empower every person to own their inner potential. Our award-winning products help our global community gain a deeper knowledge of their readiness, activity, and sleep quality by using their Oura Ring and its connected app. We've helped millions of people understand and improve their health by providing daily insights and practical steps to inspire healthy lifestyles.</p>
<p>Empowering the world starts with living <a href="https://ouraring.com/about-us" rel="noopener noreferrer ugc" target="_blank">our values</a> and empowering our team. As a quickly growing company focused on helping people live healthier and happier lives, we ensure that our team members have what they need to do their best work — both in and out of the office. </p></div><p>We are looking for a Senior Data Analyst — Hardware &amp; Supply Chain to join our Data Analytics team in North America. You’ll be the analytics lead on the data that runs Oura’s physical business—how rings are built, sourced, manufactured, shipped, sold, activated, and serviced. This is the data behind hardware manufacturing, supply chain, revenue, units sold, COGS, margin, inventory, and the warranty and returns metrics that show up in board and S-1 reporting.</p>
<p>As Oura matures into a scalable consumer-hardware business and migrates to a unified data platform on Databricks, this role exists to make sure the numbers that leadership and external auditors steer by—units sold, sell-through, activation rate, on-hand inventory, landed cost, and warranty rate—are defined once, computed correctly, traceable end-to-end from ERP and the manufacturing floor to the executive dashboard, and audit-ready. You will partner with Operations, Supply Chain, Hardware Engineering, Finance, and Data Engineering to build the governed hardware /supply chain data foundation.</p>
<h2><strong>What You Will Do</strong></h2>
<p><strong>Hardware &amp; Supply Chain KPI Ownership</strong></p>
<ul>
<li>Own the analytics layer for the hardware and supply chain scorecard — partner with Operations, Supply Chain, and Finance to define, document, and deliver the KPIs that show up in board and S-1 reporting (hardware revenue, units sold, sell-through, COGS, landed cost, gross margin, on-hand and in-transit inventory, warranty rate, return/RMA rate, and activation rate).</li>
<li>Establish each hardware/SC KPI as a governed, audit-grade data product — locked definitions, single owner, data build tool (dbt) tests, full lineage from source systems, formal sign-off, and a documented change-management process.</li>
<li>Build and own the hardware data contract and hardware — the canonical dimension that ties SKUs, components, ring generations, sizes, and finishes to every downstream sales, inventory, and activation metric.</li>
<li>Be the analytics representative in external audit cycles — produce documentation, walk auditors through lineage, and ensure controls and traceability are reflected in how hardware and supply chain metrics are produced.</li>
</ul>
<p><strong>Platform Migration &amp; Data Engineering</strong></p>
<ul>
<li>Migrate hardware and supply chain reporting from legacy stacks (Snowflake + Tableau + Sheets) to our Databricks-based platform, with dbt-modeled metrics, Unity Catalog lineage, and Databricks SQL / Genie as the executive-facing surface.</li>
<li>Coordinate with source-system owners across ERP, manufacturing, logistics, and e-commerce (NetSuite, contract-manufacturer feeds, 3PL/logistics data, Zuora) and the Data Engineering team to ensure clean ingestion, correct dimensional modeling, and clear lineage from purchase orders and factory output through to sell-through and activation.</li>
<li>Resolve systems data quality issue to ensure that reporting is trustworthy end to end.</li>
<li>Build and maintain the Hardware/SC domain’s data products in Databricks, mentoring analysts on dimensional modeling, dbt practices, and the Golden Path for publishing governed metrics for reporting and for MCP/agentic AI consumption.</li>
</ul>
<p><strong>Operations &amp; Supply Chain Partnership</strong></p>
<ul>
<li>Partner deeply with Supply Chain and Operations on demand/supply planning data — own the Databricks-side data layer that feeds planning, and ensure planned, reported, and warehouse numbers reconcile across regions.</li>
<li>Deliver inventory, fulfillment, and supplier analytics — days of supply, fill rate, on-time delivery, yield, scrap, and cost-to-serve — that give Operations leadership a single trusted view.</li>
<li>Drive adoption of self-service reporting by Operations and business partners — using Genie, Databricks SQL dashboards, and clear documentation to reduce one-off reporting and free up analyst time for analysis.</li>
</ul>
<p><strong>Tooling &amp; Innovation</strong></p>
<ul>
<li>Continuously evaluate emerging tools (Unity Catalog, Databricks Genie, AI-assisted SQL/modeling via Cursor and Claude Code, semantic-layer technologies) to improve productivity and accuracy in hardware and supply chain reporting.</li>
</ul>
<h2><strong>We Would Love to Have You on Our Team, If You Have</strong></h2>
<ul>
<li>7+ years in analytics, business intelligence, or a related data-focused role, with at least 3+ years specifically supporting Hardware, Supply Chain, Operations, Manufacturing, or Logistics.</li>
<li>Demonstrated experience building executive-level reporting for a physical-product business that is trusted by leadership and survives external scrutiny (Board, auditors, investors).</li>
<li>Deep working knowledge of hardware and supply chain data domains: units sold and sell-through, COGS and landed cost, BOM and component costing, inventory (on-hand, in-transit, days of supply), warranty and RMA/returns, manufacturing yield, and how transactional systems (NetSuite/ERP, contract-manufacturer and 3PL feeds, e-commerce platforms) flow into reported numbers.</li>
<li>Hands-on experience with demand/supply planning data and a real understanding of where the planning system ends and the data lake begins.</li>
<li>Highly fluent in SQL with experience writing complex queries for operational and financial data extraction, reconciliation, and modeling.</li>
<li>Expertise in dimensional modeling for hardware/operations reporting (conformed dimensions across SKU, product generation, channel, geo, supplier; slowly-changing dimensions for product and cost hierarchies; period-over-period comparisons).</li>
<li>Experience with dbt — including tests, documentation, exposures, and contracts.</li>
<li>Experience with Databricks strongly preferred (Unity Catalog, Databricks SQL, Lakeflow, Genie); deep Snowflake experience acceptable with willingness to migrate.</li>
<li>Experience with modern BI tools (Tableau, Looker, Databricks SQL Dashboards, Power BI) and a clear point of view on when each is the right fit.</li>
<li>Track record of working alongside external auditors (PwC, Deloitte, EY, KPMG) and building documentation that withstands audit review.</li>
<li>Excellent verbal and written communication skills — able to brief an operations or finance leader on a number, then explain to an analyst how the data behind it works.</li>
<li>Thrive in a fast-paced, highly collaborative global work environment that spans factories, warehouses, and offices across time zones.</li>
</ul>
<h2><strong>What Makes You Stand Out</strong></h2>
<ul>
<li>Familiarity with adjacent tooling and sources: AWS, GitHub, NetSuite/ERP, Fivetran, Python, semantic layers, EDI/3PL logistics feeds, and contract-manufacturer (CM) data integrations.</li>
<li>Experience standing up a hardware data contract and product/SKU dimension (dim_hardware) from scratch in a high-growth consumer hardware company.</li>
<li>Experience building governed KPI programs through a formal external audit (e.g., PwC, Big 4), including COGS, inventory, and units-sold reconciliation.</li>
<li>Expertise in data visualization theory — you understand how to choose the right chart for the right operational message and why exec dashboards fail when they don’t.</li>
</ul>
<p><em>As a company we are focused on improving the way we live our lives. From the people who use our product to the team behind it, we work to empower every person to own their inner potential.</em></p>
<h2><strong>Benefits</strong></h2>
<p>At Oura, we care about you and your well-being. Everyone here at Oura has a ring of their own, and we are continually looking to improve employee health.</p>
<p>What we offer:</p>
<ul>
<li>Competitive salary and equity packages</li>
<li>Health, dental, vision insurance, and mental health resources</li>
<li>An Oura Ring of your own plus employee discounts for friends &amp; family</li>
<li>20 days of paid time off plus 13 paid holidays plus 8 days of flexible wellness time off</li>
<li>Paid sick leave and parental leave</li>
</ul>
<p><strong>Compensation</strong></p>
<p>Oura takes a market-based approach to pay, which may vary depending on your location. US locations are categorized into tiers based on a cost of labor index for that geographic area. While most offers will be closer to the starting range, successful candidates’ pay will be determined based on job-related skills, experience, qualifications, work location, internal peer equity, and market conditions. These ranges may be modified in the future.</p>
<p> </p>
<ul>
<li>Region 1 $172,000- $203,000</li>
<li>Region 2 $158,950- $187,000</li>
<li>Region 3 $147,900- $174,000</li>
</ul>
<p>A recruiter can determine your zones/tiers based on your US location.</p>
<p>We are not considering candidates residing in the following states: Alaska (AK), Delaware (DE), Iowa (IA), Mississippi (MS), Missouri (MO), Nebraska (NE), South Dakota (SD), Vermont (VT), West Virginia (WV), and Wisconsin (WI)</p><div><div>
<p>ŌURA is proud to be an equal opportunity workplace. We celebrate diversity and are committed to creating an inclusive environment for all employees. Individuals seeking employment at ŌURA are considered without regard to age, ancestry, color, gender (including pregnancy, childbirth, or related medical conditions), gender identity or expression, genetic information, marital status, medical condition, mental or physical disability, national origin, protected family care or medical leave status, race, religion (including beliefs and practices or the absence thereof), sexual orientation, military or veteran status, or any other characteristic protected by federal, state, or local laws. We will not tolerate discrimination or harassment based on any of these characteristics.</p>
<p>We will work to ensure individuals with disabilities are provided reasonable accommodation to participate in the interview process, to perform essential job functions, and to receive other benefits and privileges of employment.</p>
<p>Disclaimer: Beware of fake job offers!<br />We’ve been alerted to scammers posing as ŌURA recruiters, especially for remote roles. Please note:</p>
<ul>
<li>Our jobs are listed only on the ŌURA Careers page and trusted job boards.</li>
<li>We will never ask for personal information like ID or payment for equipment upfront.</li>
<li>Official offers are sent through Docusign after a verbal offer, not via text or email.</li>
</ul>
<p>Stay cautious and protect your personal details.</p>
<p>To all recruitment agencies: ŌURA does not accept agency resumes. Please do not forward resumes to our jobs alias, ŌURA employees, or any other organization's location. ŌURA is not responsible for any fees related to unsolicited resumes.</p>
</div></div>

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