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Staff Driver Safety UX Researcher, Android for Auto Share Staff Driver Safety UX Researcher, Android for Auto corporatefare Google place San Jose, CA, USA; Kirkland, WA, USA; +2 more; +1 more Advanced Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders; deep expertise in domain. Share Staff Driver Safety UX Researcher, Android for Auto infooutline XApplicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act. In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include: + Health, dental, vision, life, disability insurance + Retirement Benefits: 401(k) with company match + Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment + Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance + Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks + Baby Bonding Leave: 18 weeks + Holidays: 13 paid days per year Note: By applying to this position you will have an opportunity to share your preferred working location from the following: San Jose, CA, USA; Kirkland, WA, USA; San Francisco, CA, USA . Minimum qualifications: + Bachelor's degree or equivalent practical experience. + 8 years of experience in an applied research setting, or similar. + Experience with safety-focused research programs. + Experience with automotive human factors principles, advanced research methodologies. Preferred qualifications: + Master's degree or PhD in human-computer interaction, cognitive science, statistics, psychology, anthropology, or a related field. + 7 years of experience working with executive leadership (e.g., Director level and above). + 5 years of experience managing projects, and working in a changing organization. + Experience with safety relevant development processes (e.g., automotive). About the job At Google, we "Focus on the user and all else will follow." As a User Experience Researcher (UXR), you make this possible. You will join our multi-disciplinary UX team, collaborating with Engineering and Product Management, to gather insights and create industry-leading products. You'll play a critical role in helping your team understand user needs and will drive impact at all stages of product development, ensuring products are useful, usable, and helpful. You will explore user behaviors and motivations by conducting primary research, including: field studies, interviews, diary studies, ethnography, surveys, usability testing, and logs analysis. You will also grow within a supportive UXR community offering mentorship, regular meetups, and exclusive internal tools. User experience is at the forefront of how we create intuitive, innovative, and beautiful products that people love. We strive to learn and understand our users' needs, behaviors, and emotions to gather insights that inform product strategy and design. Our UX teams include designers, researchers, content strategists, and engineers who are passionate about quality, usability, and simplicity. We work on collaborative teams to solve complex challenges and craft experiences that highlight our products' unique capabilities and personalities. Our work touches billions while exemplifying a key principle that is core to Google's philosophy: "Focus on the user and all else will follow." Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $188000 - $274000 (USD) + 20% bonus target + equity + benefits Learn more aboutbenefits at Google (https://www.google.com/about/careers/applications/benefits/) . Responsibilities + Influence stakeholders across organizations to gain support for research-based, user-centric solutions. + Define, own, and drive the strategic safety research agenda across the entire Android auto product portfolio, leveraging quantitative, qualitative, and mixed-methods methodologies. + Establish and uphold safety frameworks and best practices within the Android auto team, ensuring products meet or exceed industry standards and user expectations for safety. + Act as the subject-matter expert on driver safety, distraction, and automotive human factors, delivering critical analysis and strategic guidance for product decisions. Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google'sApplicant and Candidate Privacy Policy (./privacy-policy) . Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See alsoGoogle's EEO Policy (https://www.google.com/about/careers/applications/eeo/) ,Know your rights: workplace discrimination is illegal (https://careers.google.com/jobs/dist/legal/EEOC_KnowYourRights_10_20.pdf) ,Belonging at Google (https://about.google/belonging/) , andHow we hire (https://careers.google.com/how-we-hire/) . If you have a need that requires accommodation, please let us know by completing ourAccommodations for Applicants form (https://goo.gl/forms/aBt6Pu71i1kzpLHe2) . Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting. To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes. Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also https://careers.google.com/eeo/ and https://careers.google.com/jobs/dist/legal/OFCCPEEOPost.pdf If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: https://goo.gl/forms/aBt6Pu71i1kzpLHe2.

Help us tackle the growing wildfire crisis with the latest advancements in AI and IoTWho we areThe challenge: Every minute matters in wildfire response. As climate change increases the frequency and intensity of wildfires—with longer fire seasons, drier fuels, and more extreme weather—new ignitions can spread rapidly, putting communities, critical infrastructure, and ecosystems at risk. Today, many wildfires are first reported by members of the public, meaning it can take valuable time to detect a fire, confirm its location and size, and mobilize responders. Fire agencies need faster, more reliable ways to detect, verify, and pinpoint new ignitions so they can respond quickly and prevent small fires from becoming catastrophic events.About Pano AI: Pano AI is the leader in AI-powered wildfire detection and intelligence, helping fire professionals detect, respond to, and contain wildfires faster and more safely. Our platform combines advanced hardware, software, artificial intelligence, satellite imagery, and other data sources to provide real-time situational awareness and actionable intelligence. Using a network of ultra-high-definition, 360-degree cameras positioned across high vantage points, Pano AI delivers a real-time view of wildfire activity, enabling faster, more informed decision-making when every second counts.We are a team of more than 175 people working in a hybrid-remote environment across North America and Australia, with headquarters in San Francisco. Our customers include government agencies, utilities, insurers, and private landowners who rely on Pano AI to help protect people, property, and natural landscapes. Pano AI currently serves customers across the United States, Australia, and Canada, monitoring more than 50 million acres worldwide.Our values are part of everything we do at Pano AI. They guide how we work together, how we serve our customers, and how we approach our mission.Impact: As we scale our business, we grow our impact—enabling emergency managers to protect people, infrastructure, and the environment from devastating wildfires.Service: We serve those who serve, and the teammates beside us.Trust: We earn trust through integrity, accountability, and an obsession with quality so that our partners can rely on us.Excellence and Speed: We produce exceptional work quickly because our mission demands both precision and urgency.Innovation: We apply cutting-edge technology to what we build and how we work.Our work has been recognized by Fast Company as one of the Top 10 Most Innovative AI Companies in 2023 and one of the World's Most Innovative Companies in 2026, ranking #1 in Sustainability. We have also been named to TIME's list of the 100 Most Influential Companies of 2025 and recognized by MIT Technology Review as one of the top climate technology companies to watch.Backed by $89 million in funding from leading investors including Giant Ventures, Liberty Mutual Ventures, Tokio Marine Future Fund, Congruent Ventures, Initialized Capital, Salesforce Ventures, and T-Mobile Ventures, we're building technology that helps communities around the world become more resilient to wildfire. Learn more at.The RoleWe're hiring a seasoned Senior Product Researcher to bring rigorous customer evidence into the decisions that shape Pano's product portfolio and how we take it to market.This role sits at the intersection of product research, product strategy, and market investigation. You'll work across multiple active areas at once — wildfire intelligence platform, new product expansions across both software and hardware development, key priority partnerships, and go-to-market assessment — partnering with PMs, engineering, design, GTM, customer success and commercial teams. Our customers are utilities, federal and state agencies, and emergency managers operating in high-consequence conditions, which means the research is close to the field: command centers, control rooms, active deployments, and executive briefings.This is not a role limited to running studies. You'll help Pano decide which opportunities are worth pursuing, size and scope the investment, and build research practices the rest of the organization can use. You'll be trusted to take an ambiguous strategic question, choose the right approach, and come back with something leadership can act on.What you'll doOwn research end-to-end across several concurrent product areas — scoping the question, recruiting participants, running sessions with customers and internal experts, and synthesizing findings into pain point taxonomies, stakeholder maps, personas, and clear recommendations.Partner with PMs, design, and engineering leads to evaluate future product opportunities: frame the questions that de-risk an investment, and generate the evidence needed to size and scope it before roadmap capacity is committed.Conduct market analysis and competitive intelligence — landscape scans, competitor and adjacent-product audits, new-market assessments — to inform positioning and entry decisions in emerging segments and geographies.Contribute customer and market evidence to pricing, packaging, and adoption strategy in partnership with Product, Sales, and Product Marketing, including buyer versus user dynamics, procurement realities, and value perception.Run field and co-design research with customers on site, translating operational observation into design and product implications.Build research capability across the organization: reusable guides and templates, a searchable repository of findings, a participant panel, and hands-on coaching for PMs and designers running their own customer conversations.Produce concise, well-structured readouts and briefs that inform executive decisions, and present them directly to internal and customer audiences.What you'll bring8+ years in product research, UX research, market research, or product strategy, with a track record of work that visibly changed a roadmap, an investment decision, or a go-to-market plan.Mixed-methods depth: strong qualitative interviewing and synthesis, plus comfort with survey design, segmentation, opportunity sizing, and pricing research methods.Proven ability to run multiple workstreams independently with minimal direction — choosing the right method for the decision at hand and delivering on compressed timelines without sacrificing rigor.Experience researching complex B2B or enterprise domains with operational end users and multi-stakeholder buying committees.Excellent synthesis and storytelling: turns messy fieldwork into a crisp, structured argument that senior leaders and customers can follow and act on.Strong presence with customers, from frontline operators to executive sponsors, and the judgment to manage sensitive account dynamics well.Master’s degree or equivalent practical experience is a must, and personal qualities of curiosity, pro-activeness, and open-mindedness.Nice-to-havesDomain experience in wildfire, utilities, energy, public safety, or emergency management, or another high-risk, compliance-driven environment.Experience at a Series B–D company, including helping establish research practices where little structure existed.Familiarity with AI/ML products, imagery or sensor data, or combined hardware and software offerings.Experience with field research methods such as ride-alongs, site visits, and observation in operational settings.A passion for wildfire prevention, climate change adaptation, or firefighting.Final compensation for regular full-time employees is determined by a variety of factors, including job-related qualifications, education, experience, skills, knowledge, and geographic location. In addition to base salary, regular full-time roles are eligible for equity. Benefits are tailored to local market standards and statutory requirements in the employee's country of employment, and may include health coverage, retirement or pension contributions, and paid time off. Specific benefit details will be shared during the interview process.Compensation Range: $170K - $185KLocationSan Francisco, CaliforniaEmployment TypeFull timeLocation TypeHybridDepartmentProduct & EngineeringProductCompensation$170K – $185K • Offers Equity

Kikoff: The Fintech Powering Financial Security at ScaleKikoff is a profitable, pre-IPO fintech company on a mission to empower everyone to achieve financial security. With record revenue growth in 2025 and a unicorn valuation, we've built a suite of products that help millions of people build credit, access liquidity, and save money.We're scaling fast. Join us if you want to build something meaningful and help millions of people move forward financially.Why Kikoff:This is a consumer fintech startup, and you will be working with serial entrepreneurs who have built strong consumer brands and innovative products. We value extreme ownership, clear communication, a strong sense of craftsmanship, and the desire to create lasting work and work relationships. Yes, you can build an exciting business AND have real-life real-customer impact.An ideal member of the product team likes to roll their sleeves up and dive in. You might conduct user interviews, dig in the database, wireframe in Miro, and dogfood the latest mobile app release, all before lunch. Because you're passionate about solving deeply personal financial problems for consumers, you will do whatever it takes to find the right solutions. You'll also work collaboratively within your dedicated product team that includes design and engineering, as well as cross-functionally with marketing, legal, operations, leadership and whoever else you need to get it done. You won't stop until the data tells you it's right.This is a full-time position in our San Francisco HQ with benefits and equity in a fast-moving and fast-growing environment that will help you grow your abilities and career as you help build a better ecosystem of credit for our customers.What you can expect in this role:Look deeply at the data and talk to users to find what engages them and create engagement loops using content and experiences that leverage product, comms and alert touch points.Constantly develop and experiment on experiences and types of content that will keep users hooked.Drive strategic insights that shape roadmaps for engineering, design and marketing using data and user stories to build conviction.Explore our data and users to create interesting segments and relevant insights and content to drive a virtuous loop of engagement.Take direction from leadership regarding the key objectives your team needs to drive, but outline a roadmap with your product team to achieve successful outcomes, together.Drive the discovery process to form a deep understanding of our users and to uncover the products and features that will best empower those consumers.Reach beyond instinct alone to capture and analyze the right data to allow you to make the most informed decisions as you continue to evolve your approach.Champion your products within your team, across the company, and with consumers.What will help make you successful:Excellent writing and communication skills to communicate both with users and internally to drive strategy, learning and iteration.Readiness to roll up your sleeves in all parts of the content journey from copy to setting up comms and product touch points to measuring and interpreting results.Extremely data driven and constantly looking for the “why” behind the data to understand what drives user behaviors and explains metric patterns. Pulling the data yourself is a strong plus.You have empathy for consumers and a passion for solving consumer problems in new and innovative ways.You feel comfortable in the driver's seat and have a natural way of knowing how to get to the destination, but also know when it's time for others to drive.You've worked on successful digital consumer products for at least 2 years, preferably in a fast-paced startup environment.You can wear as many hats as necessary including marketer, researcher, interface designer, analyst, and friend.An interest in and/or history working on modern consumer financial tools and products, with your own perspective on how best to innovate in this spaceIdeal Candidates:Current undergraduate and master students or early career professionals with high potential such as from consulting or investment banking.A passion for solving problems derived from data-driven thinking and user needs.A futurist who can collaboratively lead a team to build towards a vision.Highly motivated, curious, and adaptable individuals.Excellent communication, analytical, and first principles problem-solving skillsDemonstrated leadership potential and eagerness to learn.Strategic thinker able to breakdown and organize problems, assess opportunity areas, and develop big ideas and priorities to move the business forward.Have strong bias to action and hunger to move fast and flexibly.Technical background a big plus such as being able to pull data with SQL and read code.Kikoff: A FinTech Unicorn Powering Financial Progress with AIAt Kikoff, our mission is to provide radically affordable financial tools to help consumers achieve financial security. We're a profitable, high growth FinTech unicorn serving millions of people, many of whom are building credit or navigating life paycheck to paycheck. With innovative technology and AI, we simplify credit building, reduce debt, and expand access to financial opportunities to those who need them the most. Founded in 2019, Kikoff is headquartered in San Francisco and backed by top-tier VC investors and NBA star Stephen Curry.Why Kikoff:This is a consumer fintech startup, and you will be working with serial entrepreneurs who have built strong consumer brands and innovative products. We value extreme ownership, clear communication, a strong sense of craftsmanship, and the desire to create lasting work and work relationships. Yes, you can build an exciting business AND have real-life real-customer impact.ð Medical, dental, and vision coverage - Kikoff covers the full cost of health insurance for the employee!ð Meaningful equity in the form of RSU'sð️ 20 days of paid time off per year — we encourage taking real time away to recharge and do your best workðµ 401(k) plan with a meaningful employer match to help you invest in your futureð Competitive pay based on experience consisting of base + equity + benefitsLocation: Hybrid, 3 days onsite in San Francisco, CA.Visa sponsorship available: Kikoff is willing to provide sponsorship for H1-B visas and U.S. green cards for exceptional talent.Equal Employment Opportunity StatementKikoff Inc. is an equal opportunity employer. We are committed to complying with all federal, state, and local laws providing equal employment opportunities and considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.Please reference the following for more information.Base Range$160,000—$200,000 USDEqual Employment Opportunity StatementKikoff Inc. is an equal opportunity employer. We are committed to complying with all federal, state, and local laws providing equal employment opportunities and considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.Please reference the following for more information.

About SprigSprig is an enterprise survey platform powered by AI agents. We help organizations move from question to evidence faster by transforming how research is designed, fielded, and synthesized. Instead of relying on manual survey programming, static forms, and time-consuming analysis, Sprig combines modern survey infrastructure with specialized agents that accelerate every stage of the research process.Research teams use Sprig to run customer surveys, market research, experience measurement, journey research, concept testing, and strategic studies. Whether collecting feedback from customers, prospects, panel participants, or users inside a product, Sprig helps teams gather higher-quality data and uncover deeper insights.Leading companies including Microsoft, Figma, Notion, Ramp, DoorDash, Coinbase, Harvey, and Robinhood use Sprig to continuously learn from customers, understand markets, validate ideas, and improve products.By combining enterprise survey capabilities with AI-powered agents, Sprig enables teams to move faster, make better decisions, and turn research into a competitive advantage.About the RoleSprig is looking for an experienced and engaging individual to bring the user research community together, build meaningful relationships with industry leaders, and help make Sprig a trusted and recognized voice in the research space.You’ll have the opportunity to conduct your own user research, but this is not a traditional in-house UX Research role. Instead of owning research for a single product, you’ll apply your expertise across some of the world’s most innovative companies to help research teams understand how they can improve their programs, identifying opportunities to make research more effective and scalable, and advising them on how to get more value from their research practice.You’ll also turn what you learn across the industry into original research, thought leadership, and a strong point of view on where UX Research is headed. You’ll publish insights, build relationships with research leaders, speak at industry events, and serve as a trusted research expert in strategic customer and prospect conversations.Sitting at the intersection of research, thought leadership, and marketing, this role is ideal for an experienced researcher who loves the craft but wants to expand their impact beyond a single company:working across organizations, solving interesting research challenges, and helping influence how research is practiced across the industry.Your ImpactAdvise and support some of the world’s leading research teams. Work directly with customers to understand their research practices, workflows, and organizational challenges, applying your expertise to identify gaps and recommend methodologies, use cases, and best practices that make research more impactful, efficient, and scalable.Become a trusted voice in the research community. Represent Sprig at conferences, panels, webinars, executive roundtables, dinners, meetups, and other industry programs while building authentic relationships with researchers and research leaders.Help shape the future of research at Sprig. Serve as our in-house research expert, bringing a practitioner’s perspective into product strategy and helping build the leading AI-native enterprise research platform, from multi-agent research workflows to intelligent survey infrastructure.Conduct and publish original industry research. Design surveys, interviews, benchmarking studies, and other research that uncover meaningful trends across the research community and turn those findings into reports, articles, presentations, and industry insights.Create thought leadership researchers actually want to read. Partner with Marketing to develop high-quality content including research reports, articles, playbooks, webinars, social content, and practical resources for research and product teams.Your StrengthsResearcher at Heart: You bring meaningful UX Research experience and a deep understanding of how research operates within modern product organizations, with a natural curiosity for uncovering patterns, developing insights, and turning them into actionable recommendations.Consultative & Strategic: You quickly understand how organizations operate, ask thoughtful questions to diagnose challenges, and provide credible guidance that helps research practitioners and leaders improve their research practices.Excited to Expand Your Impact: You may be ready for something different from a traditional in-house UXR role and are energized by the opportunity to work across multiple organizations and influence the practice of research at an industry level.Exceptional Communicator & Storyteller: You can turn complex research concepts and findings into clear, compelling narratives and are comfortable facilitating conversations, presenting ideas, and engaging audiences from research practitioners to product leaders and executives. Conference speaking experience is a plus, but not required.Strong Writer : You enjoy writing and can translate your expertise into thoughtful, useful content. You don’t need to already be a prolific creator or have a large personal following.Relationship-Driven: You genuinely enjoy meeting other researchers, exchanging ideas, and building long-term relationships across the community.Collaborative & Adaptable: You enjoy working across Marketing, Sales, Customer Success, and Product, and are comfortable taking ownership, navigating ambiguity, and moving fast.At Sprig, we pride ourselves on being a people-first company, where your contributions truly matter and are valued. We were recently awarded by Fortune as top 50 best places to work in the US, and top 50 Places to Work in the Bay Area by Built In. Come join our mission of building products users love and have a real impact on Sprig’s future.Our Commitment to Diversity and InclusionWe prioritize diversity within our team and value different perspectives, educational backgrounds, and life experiences. We encourage people from underrepresented backgrounds to apply.Employee Pay DisclosureThe On-Target-Earnings (OTE) range for this full-time position is $165,000-$200,000 + Equity + Benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all locations (San Francisco, CA; New York, NY). Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Please note that the compensation details listed in postings reflect the OTE only, and do not include equity or benefits. *Please beware of scammers who are posing as Sprig and Sprig team members. Our recruiters use @sprig.com email addresses exclusively. We do not conduct interviews via text or instant message, and we do not ask candidates to purchase equipment through us or solicit money from you. If you have been contacted by someone claiming to be from a different domain about a job offer, please report it as potential job fraud to law enforcement and contact us.Compensation Range: $165K - $200KLocationSan Francisco, CAEmployment TypeFull timeLocation TypeHybridDepartmentMarketingCompensationOTE Range $165K – $200K • Offers Bonus

Our mission at Oura 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.Empowering the world starts with living our values 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. We are looking for a Senior UX Researcher to join our Design Research team, embedded in the Human Care mission. Human Care is where Oura expands beyond tracking into territory with real clinical stakes — products that help members understand and act on their health, connect to care when they need it, and generate evidence that Oura can drive meaningful outcomes.In this role, you will represent the voice of the user for a mission that sits at the intersection of consumer experience and healthcare. You'll uncover the deep user insights that shape how we build — partnering closely with product managers, designers, and clinical scientists to ensure we're solving the right problems in the right ways with deep appreciation for the nuance and care our members require.This is a hybrid-remote role, with the expectation to work from our San Francisco offices at least half-time.What You’ll DoLead user research for the software team connecting members to healthcare partners. Plan, conduct, and analyze a range of user research studies, including ethnographic studies, contextual inquiries, user interviews, surveys, and diary studies to gather both qualitative and quantitative data.Bring clinical and regulatory context into product decisions — understanding how FDA-regulated features, HIPAA consent flows, and EHR integrations shape what's possible and what's appropriate for members.Develop research-backed frameworks for how Oura surfaces clinical-grade data (biomarkers, lab results, risk signals) to consumer audiences in a way that's clear, actionable, and emotionally resonant — not alarming.Partner with the clinical and health science teams to ensure research bridges behavioral and physiological insight — understanding not just what users do but what health context drives those behaviors.Build and maintain a longitudinal view of our members from the lens of connected care— their motivations, anxieties, health literacy, and relationship with clinical care — that informs roadmap prioritization.What You Likely HaveExperience: 5+ years of professional UX research experience, with meaningful work at the intersection of consumer product and healthcare, digital health, or clinical technology.Research Expertise: Demonstrated ability to research complex, high-stakes experiences — medical devices, clinical software, diagnostic tools, telehealth, or patient-facing health apps — where decisions have real consequences.Technical Acumen: Deep understanding of health literacy variation across populations and how to design research that accounts for members ranging from highly health-engaged to newly diagnosed to clinical-care-avoidant.Domain Awareness: Experience navigating regulated or compliance-sensitive environments (HIPAA, FDA, IRB) and understanding how those constraints shape research design and product decisions.Problem-Solving: Strong point of view on how to make clinical data legible and meaningful to non-clinical audiences — you've wrestled with the problem of surfacing biomarkers, risk indicators, or diagnostic signals without inducing unnecessary anxiety or oversimplification.Collaboration: Proven experience working in cross-functional teams including PMs, clinicians, designers, data scientists, and commercial teams. You know how to translate research into the language each stakeholder acts on.Can-do attitude: You can operate independently across multiple concurrent workstreams, prioritize ruthlessly, and build a research program that is respected..Bonus PointsExperience researching connected care or care coordination products — understanding how data moves between patients, wearables, and clinical workflows, and where friction emerges in that loop.Familiarity with metabolic health, GLP-1 medications, or cardiometabolic care pathways as a research subject area.Prior work with B2B healthcare products — enterprise dashboards, clinical decision support, payer or health system tools — where the research audience includes clinical administrators, researchers, or care teams in addition to end users.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.Region 1: $172,550 - $203,000We are not considering candidates residing in the following states: Alaska (AK), Arkansas (AR), Delaware (DE), Iowa (IA), Mississippi (MS), Missouri (MO), Nebraska (NE), Oklahoma (OK), Rhode Island (RI), South Dakota (SD), Vermont (VT), West Virginia (WV), and Wisconsin (WI)Oura 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 Oura 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.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.Disclaimer: Beware of fake job offers!We’ve been alerted to scammers posing as ŌURA recruiters, especially for remote roles. Please note:Our jobs are listed only on the ŌURA Careers page and trusted job boards.We will never ask for personal information like ID or payment for equipment upfront.Official offers are sent through Docusign after a verbal offer, not via text or email.Stay cautious and protect your personal details.To all recruitment agencies: Oura does not accept agency resumes. Please do not forward resumes to our jobs alias, Oura employees, or any other organization's location. Oura is not responsible for any fees related to unsolicited resumes.

Job DescriptionAbout the Role A well-funded, early-stage AI startup in the mechanical engineering software space is looking for a Staff Engineer — Agentic AI to own the core agent intelligence layer that turns engineers' intent into reliable, cost-efficient multi-step workflows across complex desktop engineering tools. This is a high-impact, senior technical leadership role reporting directly to the CTO, sitting at the intersection of applied agentic AI, user research, and product delivery. The company serves Fortune 100 hardware engineering customers and is backed by notable investors. You'll join a small, senior team and have a direct line to executive leadership. The role is on-site in San Francisco, CA. What You'll Do Lead development of the core agent intelligence layer executing multi-step workflows across complex desktop engineering software (CAD, CAE, PLM). Report to the CTO and serve as technical lead for a small team of AI engineers, a user researcher, and domain expert contractors. Own the full product loop: define agent capabilities from user stories, build implementations, and benchmark against real workflows. Drive agent task success rate — define the eval framework, establish baselines, and systematically improve completion metrics. Set and enforce per-task token budgets; track cost per completed workflow to ensure commercial viability. Build rigorous, reproducible evaluation infrastructure grounded in validated user stories (SWE-bench-level rigor applied to engineering workflows). Lead user story mapping and validation through direct interviews and collaboration with domain experts. Translate validated user stories into testable evals, closing the loop between research and benchmarking. Own agent architecture decisions: tool-calling strategies, state management, error recovery, model routing, and context management. Act as a player-coach: write production code, review designs, unblock the team, and raise engineering standards. Collaborate cross-functionally with integrations, product, and customers during POCs to align agent behavior with real-world usage. What We're Looking For Required (Dealbreakers): 7+ years in software engineering, including at least 2 years building agentic LLM-based agents that act in the real world (tool-calling, multi-step workflows, failure handling, cost constraints). Deep experience designing LLM application architectures: model selection, context/window management, retrieval strategies, tool-calling frameworks, and orchestration patterns. Strong evaluation and benchmarking instincts for agentic systems — task completion, cost efficiency, failure mode analysis; familiarity with SWE-bench, GAIA, or τ-bench. Proven track record shipping AI systems with measurable outcomes (e.g., agent task success rate, cost efficiency) — not just demos. Strong Python skills and hands-on experience with LLM tooling (function calling, tool use APIs, tracing/observability tools such as Logfire or LangSmith, evaluation frameworks). Experience leading a small technical team (3–6 engineers): setting direction, performing code reviews, driving architecture decisions. Strongly Preferred: Experience with desktop automation, COM, or programmatic control of applications (beyond web APIs). Background in mechanical engineering, CAD/CAE, PLM, or adjacent industries. Familiarity with enterprise deployment constraints — agent behavior on locked-down corporate workstations. Published work or open-source contributions in agentic AI systems. Experience building or contributing to public benchmarks for AI agents. Compensation & Benefits Salary: $160,000 – $250,000 USD annually, depending on experience. Equity participation in an early-stage, Series A company. Note: Visa sponsorship is not available for this role. Location On-site in San Francisco, CA, United States. This is not a remote role.

Job DescriptionAbout the Role This Staff Engineer role sits at the core of an applied agentic AI product that automates complex, multi-step workflows across desktop engineering tools used by hardware engineers every day. Reporting directly to the CTO, you will own the agent intelligence layer end-to-end and lead a small, focused team of AI engineers, a user researcher, and domain expert contractors. The work you do here directly determines how much real-world value the product delivers to enterprise customers. What You'll Do Lead development of the core agent intelligence layer that executes multi-step workflows across complex desktop engineering software. Own the full product loop: define agent capabilities from user stories, build implementations, and benchmark against real workflows. Drive agent task success rate by defining evaluation frameworks, establishing baselines, and iterating on completion metrics. Set and enforce per-task token budgets and track cost per completed workflow to ensure commercial viability. Build rigorous, reproducible evaluation infrastructure grounded in validated user stories. Lead user story mapping and validation through engineer interviews and close collaboration with domain experts. Translate validated user stories into testable evals, closing the loop between user research and agent benchmarking. Own agent architecture decisions including tool-calling strategies, state management, error recovery, model routing, and context management. Act as a player-coach: write production code, review designs, unblock the team, and raise engineering standards. Collaborate cross-functionally with integrations, product, and customers during POCs to align agent behavior with real-world usage. What We're Looking For 7+ years of software engineering experience, including at least 2 years building LLM-based agents that take real-world actions. Deep experience designing LLM application architectures: model selection, context and window management, retrieval, and orchestration patterns. Proven ability to build evaluation and benchmarking frameworks measuring task completion, cost efficiency, and failure modes. Strong Python skills and hands-on familiarity with LLM tooling including function calling, tool APIs, observability and tracing, and evaluation frameworks. Experience shipping AI or LLM tooling on top of proprietary engineering data or desktop engineering software, such as agents or MCP servers over CAD, PLM, or simulation platforms. Technical leadership experience setting direction for small teams of 3 to 6 engineers while continuing to write and review production code. Experience with desktop automation or programmatic control of applications such as COM or similar interfaces. Domain familiarity with mechanical engineering, CAD, CAE, PLM, or adjacent engineering software industries. Understanding of enterprise deployment constraints on locked-down corporate workstations. Comfort operating in a fast-paced, high-intensity early-stage environment with significant customer demand. Compensation & Benefits Base salary range: $160,000 to $250,000 USD annually, plus equity. Visa sponsorship is not available for this role. Location On-site in San Francisco, California, United States.

Job Description About Deep Origin Deep Origin is a biotech startup building an operating system for science that transforms how life science research is conducted. Led by Michael Antonov, co-founder of Oculus, and backed by Formic Ventures, we are redefining the infrastructure behind modern drug discovery. Our AI-driven platform enables scientists to accelerate discovery, reduce cost, and bring breakthrough innovations to life faster. As we scale, engineering excellence is a critical lever in advancing our mission to dramatically reduce disease and extend human healthspan. Role Description This is a Staff-level frontend engineering role for someone with strong product and UX judgment. You'll architect and ship the front-end systems behind an operating system for science, while helping define whether the product is actually good to use, not just functional. We don't have a dedicated product design team, so frontend engineers play a direct role in shaping interaction design, usability, and product quality. We want an engineer who can look at a complex scientific workflow, identify what is unclear or inefficient, propose a better direction, and ship high-quality product UI in close collaboration with the team. As a Staff engineer you set technical direction for the front end: component architecture, the design system, state management patterns, performance budgets, and the standards that keep the codebase coherent as the team and product grow. You also bring strong product and UX judgment to how our tools look, feel, and behave across drug discovery tools, simulation interfaces, data explorers, and research workflows. In this role, frontend architecture and product UX are tightly connected: you help define the point where design quality meets production code. You raise the team’s craft through architecture, shared patterns, code review, pairing, and pragmatic product judgment, helping the team ship interfaces that are coherent, usable, and technically sound. Requirements • 7+ years building production web applications, with deep command of React, TypeScript, JavaScript, CSS, and HTML, and a track record of owning front-end architecture from design through ship., • Real technical leadership. You've set front-end standards, made architecture decisions, and pulled up the engineering bar for a team, not just shipped your own features., • Strong design instincts and spatial sense. You notice when the padding is off, when a flow has one step too many, when a table is burying the column that matters., • Experience with data-heavy, workflow-heavy, or tool-heavy products: scientific software, developer tools, analytics platforms, design tools, or similar., • Comfort with ambiguity. Hand you a loosely defined problem and you'll sketch a few approaches and make the case for one., • Product thinking at the interaction level. You ask whether the flow makes sense and whether the user has enough context, not just whether the screen looks good., • Solid front-end fundamentals at scale: state management, responsive and cross-browser work, testing, performance profiling, and clean version control habits., • Comfort with data visualization past the standard chart library, where the visualization is the interface., • A portfolio or body of work that shows craft, ideally with code you can talk through. Nice to have • Experience with scientific or biotech software., • Background in or exposure to computational chemistry, biology, or physics, scientific research workflows, or drug discovery., • Experience establishing design patterns or component standards on a team without dedicated product designers., • Familiarity with 3D rendering or molecular visualization libraries (e.g., Mol*, NGL, 3Dmol.js) or WebGL. What This Isn't • A visual or graphic design role. We're not looking for someone to make marketing assets., • A design-only role where you hand off specs. You write and ship the code., • A standard frontend role with a "design eye." The title says Frontend Engineer because you architect and ship code at a Staff level, but you'll be driving UX and design decisions, not implementing someone else's., • A design manager role. This is hands-on IC work. What you'll do • Architect and ship the front end. Lead component architecture, the design system, and shared front-end infrastructure in React and TypeScript. You write reusable, well-tested code that holds up as the team and product grow. You're a committer, not a consultant: you open PRs, review frontend code, and hold the quality bar in the codebase yourself., • Set front-end technical direction. Drive decisions on state management, rendering strategy, performance budgets, and the patterns that keep the platform coherent, and write the RFCs and reviews that get the rest of the team on the same page., • Turn ambiguous product intent into concrete UI direction. Pull context from Product, Science, Engineering, leadership, customer feedback, Slack threads, prototypes, and existing workflows. Synthesize that input into clear flows, lightweight specs, implementation plans, and shippable UI., • Define the UX patterns the platform runs on: Shape patterns for navigation, data display, workflow composition, error and empty states, loading behavior, progressive disclosure, and complex multi-step flows. Turn repeated product needs into reusable component and interaction standards, • Make user flows coherent end to end. Context should carry through each step, the next action should be obvious, and the surrounding UI should help rather than get in the way. The flow has to solve the user's problem, not just look clean., • Prototype and build production UI for complex scientific workflows: work on multi-step pipelines, parameterized simulations, molecular viewers, results dashboards, and other data-heavy research workflows., • Work directly with complex scientific and technical data. Understand what a researcher needs to see, how they need to manipulate it, and how to make dense workflows, structured results, simulations, and visualizations understandable and actionable., • Integrate the front end with backend APIs and distributed platform services. Keep the product reliable and fast across browsers, devices, and environments., • Treat performance and accessibility as engineering work, not polish. Set performance expectations, chase down bottlenecks, improve accessibility, and pay down UI and technical debt as part of normal product development., • Find and fix UX debt. Improve screens that were never fully designed, flows that were stitched together over time, and inconsistencies that accumulated as the product evolved., • Set and evolve frontend engineering standards. Help define expectations for automated testing, code review, CI gates, component quality, accessibility, and maintainability as the platform scales., • Raise the team’s product and frontend craft. Pair with engineers, review code, share patterns, and make product-quality concerns visible early. Help the whole team build better judgment so quality does not depend on one person being in every conversation., • Make pragmatic product and interaction decisions. Use strong judgment on layout, hierarchy, motion, and interaction design. When the path is clear, move quickly; when tradeoffs are meaningful, frame the options and drive alignment with Product, Engineering, Science, and leadership. Values & Working Style • High agency. You do not wait for perfect specs. You pull context, identify the missing decisions, propose a path forward, and create momentum., • Ownership. You care about the full path from product intent to production behavior. You stay close to the details until the product works well for users., • Comfort with ambiguity. You can operate in an early, fast-moving company where requirements are incomplete, priorities shift, and the best way to align is often to make the work concrete., • Clear communicator. You work well with both technical and non-technical people. You can explain tradeoffs, frame options, and make complex product or technical decisions easier to reason about., • Pragmatism. You optimize for impact, not for being right. You know when to prototype, when to systematize, when to pay down debt, and when to move quickly., • Bias toward working software. You use prototypes, preview environments, and production code to make product discussions concrete. Location, Work Authorization & Benefits • This role requires working onsite in San Francisco at least 3 days per week., • Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment visa at this time., • Competitive compensation package with meaningful equity., • Comprehensive health, dental, and vision coverage., • Annual team gatherings and company events., • Free lunch, snacks, beverages, and onsite gym access (for in-office employees)., • The opportunity to shape the future of health, longevity, and our ability to simulate life. Why This Role Matters Now As we scale our AI platform and expand into new scientific initiatives, the quality of our interfaces directly shapes what researchers can accomplish. Complex science becomes more useful when the product makes workflows understandable, decisions clear, and powerful tools accessible. This role sets the craft bar for the frontend engineering and product UX at a point where we're growing fast. The job is making complex science usable, to turn ambiguity into shippable product, and to help the team build interfaces that are coherent, fast, reliable, and worthy of the science behind them.

Job DescriptionAI Engineer Location: San Francisco, CA or Phoenix, AZ (In-Office) Partnership: EQL Tech has been exclusively retained by a high-growth technology startup to appoint a mission-critical AI Engineer to own the brand feel of the company and the movement they're building. About the Company & The Mission EQL Tech is proud to represent a highly ambitious, well-funded startup that has raised $16M from top-tier VCs and angels. The company is building the financial rails to help families access new State education funds (known as ESAs or School Choice Funds). The $900B US Public Education budget is being opened up for parents to take control of their portion, which averages $7.5k per kid per year. Ambitious homeschool parents are already using these funds to piece together their dream education experience. Helping them access these funds is Step 1 in the journey to build the next-gen education system. The company treats this as their life's work and has already rejected an acquisition offer because they care about this being done right. The Team You will be joining an in-person company, working together in the office. • The Founders: The founders are engineers who have run their own alternative school together. One previously worked as a Quant at Goldman Sachs, and the other built the computer vision system for the largest smart warehousing company globally, serving 1M customers/day at age 19., • The Core Team: You will work alongside top talent, including a founding engineer who did AI research at MILA and at Elon Musk’s SpaceX school, a Head of Risk from Mercury, Stripe, and Circle, and a Payments Engineer from Microsoft and Goldman Sachs. The team also includes the former Deputy Director at Arizona's ESA department and leading school choice advocates.The Role: AI Engineer As AI Engineer, you will work directly under the Head of AI — a researcher with experience at one of the world's leading ML research labs — to build and ship the intelligence layer that powers the product. AI is not a feature here; it is the core of how families get instant eligibility decisions, and how the company scales compliance without scaling headcount. You will own AI products end-to-end, from first prototype to production. As AI Engineer, you will: • Build MVPs from scratch: take new AI products from zero to real users — both consumer-facing and internal tooling — with minimal hand-holding and a high bar for quality, • Optimise accuracy and latency: tune LLM and VLM pipelines, and classical ML models where appropriate, to meet the standards a regulated fintech product demands, • Create robust evals: build evaluation frameworks that make AI behaviour measurable, reproducible, and improvable over time — so regressions are caught before users feel them, • Read data and fix mistakes: diagnose real-world AI failures by going directly into the data, making ad-hoc corrections, and closing the loop fast, • Build endpoints and tooling: surface AI capabilities to teammates in reliable, well-documented ways so the whole team can move faster without depending on you for every query, • Work across the full AI stack: primarily LLM and VLM-based in early stages, with scope to fine-tune or train models from scratch as individual products mature and optimisation demands it Requirements Your Profile • Biased toward simplicity: you know that managing many AIs gets complex fast — you resist unnecessary abstraction and build systems that are easy to reason about and maintain, • Values old and new AI equally: you recognise the tradeoffs between prompting, fine-tuning, and training from scratch — and you pick the right tool for the job rather than defaulting to the latest trend, • User-obsessed: AI is the blocker to a good number of AHA moments in the product — you keep the end-user in mind in every technical decision, not just the benchmark, • No task beneath you: reading data, making database edits to correct AI mistakes, writing evals for edge cases — you treat this as essential product work, not a distraction from "real" engineering, • Comfortable with ambiguity: you can scope your own work, define your own quality bar, and ship without waiting to be unblocked, • Able to work in-person with the team in San Francisco, CA or Phoenix, AZ (visa support available), • Experience with LLM APIs, vector databases, fine-tuning pipelines, or evaluation frameworks is a strong plus Benefits Commitment, Compensation & Benefits This will be a big commitment, and we're aiming high. It needs to be something you are energised about taking on, or this isn't the team for you. • Competitive Salary: $125,000 – $175,000 per year, commensurate with experience., • Generous Founding Equity: We compensate you well with equity., • Top-Tier Backing: We've raised $16M from top-tier VCs and angels., • Relocation Support: You are willing to relocate to San Francisco, CA, or Phoenix, AZ, and travel to visit customers. We're an in-person company and are in the office together., • Comprehensive Visa Sponsorship: If you do not have a visa, we can support you., • Unmatched Impact: The rare opportunity to directly shape how the $900B US Public Education budget is being opened up for parents to take control of their portion (avg. $7.5k/kid/year).

Job DescriptionThe Role As a Data Scientist, you'll own the quantitative systems that drive how millions of real-money players experience Triumph's products, from their first session to long-term retention and monetization. You'll build the models and frameworks behind our most critical business decisions: how we price, how we pay out, how we match players, and how we grow. You'd be joining a small, high-output quant team (4 people today) that operates like a trading desk. We build the mathematical systems that power Triumph's core business: pricing engines, payout distributions, matchmaking algorithms, risk models, and player behavior systems. Every model we ship touches real money and real users. You see the impact in the numbers the next day. What You'll Do Monetization & Pricing: Develop and optimize the pricing engines, payout structures, and edge calculations that are the mathematical backbone of Triumph's revenue. Own pack economics, rarity calibration, and pricing models for Rips by Triumph. User Journey & Retention: Build models that map the full player lifecycle: acquisition, activation, engagement, monetization, churn risk. Identify the quantitative levers that move retention and LTV, and design interventions that act on them. Experimentation: Design and analyze experiments (A/B tests and beyond) with rigorous statistical methodology. Own the measurement framework that tells us what's actually working across the product. Behavioral Modeling: Develop ML and statistical models on rich, high-frequency user behavior data (session patterns, spend curves, matchmaking outcomes, gameplay trajectories) to drive both product decisions and real-time production systems. Growth & Acquisition: Build models that directly inform acquisition spend and channel optimization, connecting upstream marketing decisions to downstream LTV and monetization outcomes. Cross-Functional Impact: Partner closely with engineering, product, and leadership to translate model outputs into shipped features and strategic decisions. Identify high-leverage quantitative problems across the business and drive them from formulation to production impact. Qualifications Bachelor's degree in a quantitative subject: math, physics, computer science, statistics, economics, or a related discipline. True depth and mastery in at least one quantitative domain: probability, statistics, applied ML, causal inference, or mathematics. We want spiky people who are confident they are among the best in their discipline. Proficiency in Python and SQL. Experience working with large-scale user or behavioral datasets. Preferred Qualifications Experience in consumer tech, gaming, fintech, or marketplace data science, particularly in monetization, LTV modeling, or experimentation. Prior experience as a quantitative trader or quantitative researcher. Experience in competitive math, physics, or CS olympiads, or a graduate degree in a quantitative discipline. Nationally competitive in any activity. Some members of our team include national champions in debate, Clash Royale, and Poker. Why Triumph? High growth. Build a high-scale consumer platform that touches gaming, finance, and social with the autonomy to set our web direction. High agency. Small, high-impact engineering team that is growing rapidly with significant opportunity for leadership and growth. High energy. Passionate team who are proud of our work and velocity (16x year over year growth). Competitive salary and benefits. $400/mo lunch credit, healthcare, vision, dental, 401k, etc. Our team gathers 5 days a week at Triumph’s headquarters at Levi’s Plaza in San Francisco. Compensation Range: $200K - $400K

Job Description JOB DESCRIPTION COMPANY'S JOB DESCRIPTION LINK Workstream’s SaaS technology addresses the top pain point of the local businesses around you: hiring, managing, and retaining qualified workers. Our customers include leading brands from multiple sectors, including McDonald's, Jamba Juice, 7-Eleven, Uber, FedEx, Chevron, etc. Workstream enables these businesses to hire faster with texting / SMS, cutting in half the time to engage, hire and onboard hourly workers. The 2.7 billion desk-less workers are 80% of the global workforce but have been heavily underserved by technology compared to the other 20% of in-office knowledge workers. At series B, we are quickly expanding our product portfolio. We are a team from Google, Uber, MIT, and Stanford. In addition, we are backed by legendary VC's and industry’s experts, including Founders Fund, BOND, Coatue, the CEO of Doordash, the President of Instacart, and more! We’re looking for an experienced UX Researcher to join our growing design and research team. You will be looked upon to uncover deep insights and partner with product designers, product managers, engineers and cross-functional roles to elevate the user experience for our teachers, students, parents and school admins who use our web and mobile products every day around the world. You must be passionate about user research, an exceptional communicator and be comfortable scaling your work from identifying new product opportunities, validating product concepts to running usability tests after products have been launched. As one of the first researchers to join our team, you’ll have the opportunity to develop the user research identity, practice and culture across our company. Senior User Researchers are leaders within their product areas working with leadership and product teams on strategy, roadmap and goals. You must be able to process a wide variety of information — product data, customer and internal feedback— to break down complex problems and frame your thinking in ways that anyone in the company can understand. It’s not about what you know and can do as much as it is bringing others along with you. We expect our enterprise product experiences to be held to the same standards as the world’s best consumer products. We relish the challenges and opportunities that come with building a top notch research function — people, process, culture, growth, impact — and we need your help. Day in The Life: • Design and conduct studies across key product areas, utilizing methods such as ethnographic/field research, diary studies, surveys, usability testing (remote and in-person), and any other methods you find impactful, • Package insights into design tools and assets for the product managers and designers (i.e. personas, design principles, scenarios, frameworks, etc.), • Collect, analyze, and present quantitative and/or qualitative data to generate actionable strategic and tactical recommendations that can improve the product experience for our users, • Partner with our data analytics team to provide context for their insights, • Find compelling ways to communicate insights, advocate for our users and cultivate an empathetic culture across the company, • Adapt and innovate research practices to meet team needs under the tight timeframes of a rapidly growing company Who You Are: • Lead research experience on projects that require qualitative and quantitative data collection and analysis, • Multi-year experience managing cross-functional projects that involve key stakeholders, product teams and cross-functional roles, • Experience working within an agile/lean product process, • Excellent written and verbal communication and presentation skills, • Strong listening, analytical, and organizational skills, • Enthusiasm for a team-oriented, collaborative, highly energetic, fun and fast-paced environment, • The drive and energy to create a user-first company culture, • An undergraduate degree in Human-Computer Interaction, Sociology, Psychology, Computer Science, Cognitive Science or comparable UX research experience, • 5+ full years of experience working with product organizations, conducting qualitative and quantitative research studies, including usability tests, surveys, and user interviews

Job DescriptionAbout GridwareGridware is a San Francisco-based technology company dedicated to protecting and enhancing the electrical grid. We pioneered a groundbreaking new class of grid management called active grid response (AGR), focused on monitoring the electrical, physical, and environmental aspects of the grid that affect reliability and safety. Gridware’s advanced Active Grid Response platform uses high-precision sensors to detect potential issues early, enabling proactive maintenance and fault mitigation. This comprehensive approach helps improve safety, reduce outages, and ensure the grid operates efficiently. The company is backed by climate-tech and Silicon Valley investors. For more information, please visit www.Gridware.io. Role Description This is Gridware's first dedicated design research role, and it is a foundational hire for our product organization. You will join a product designer and work in close partnership with product managers across multiple lanes. Your job is not to produce one-off research deliverables, but to build the research infrastructure that helps the entire team make better product decisions, faster. But this role is more than a UX researcher who runs studies and draws journey maps. The core question this role exists to answer is: how do utility customers move from signal to evidence to decision to action — and what does Gridware need to build, surface, and externalize to support that chain reliably? The team needs someone who can map how utility customers move from signal → evidence → decision → action, and then help us externalize that reasoning inside the product. Our users are domain experts making high-consequence decisions: operators, wildfire mitigation managers, vegetation managers, asset engineers, field crews, program owners, and executives. Each role has different decision rights, evidence needs, trust thresholds, failure modes, and reporting obligations. Understanding that decision landscape — the who, the goals, the motivations, and the value — is the heart of the job. You will need to move fluently between generative research and service design thinking. Running rigorous qualitative studies with expert users, while also mapping the systemic journeys that cut across product lanes and organizational boundaries will help keep the cross-functional teams grounded in what customers actually understand, decide, and do. Responsibilities • Build decision-centered customer profiles. Go beyond personas. Build profiles mapped to the actual decisions each utility role makes: what they decide, what evidence they need, which systems they trust, what actions they're authorized to take, and what happens when the product is wrong or unclear. These profiles ground product direction in operational reality, not demographics, • Map service design across the utility operating model. Create the journey maps and service blueprints that span end-to-end utility workflows — hazard prevention strategies, grid monitoring, vegetation management, field response, escalation, reporting, and post-event review. Capture frontstage user actions alongside backstage Gridware processes, data dependencies, integrations, and handoffs. These artifacts show how users experience our products as one system, where the experience breaks down, where internal processes create friction, and where automation changes the human role. They are shared design infrastructure, not one-team documents, • Lead GIS and data-rich workflow research. Study how expert users interpret maps, asset topology, imagery, weather and vegetation layers, telemetry, anomaly detection, confidence scores, and model-generated recommendations. You don't need to be a GIS analyst, but you need to be fluent enough to research spatial and data-heavy workflows without oversimplifying them, and understand: what users see, what they trust, where they are confused, and what the product must do to make complex multi-layer data legible and actionable, • Make system reasoning legible. When Gridware surfaces a risk score, anomaly, recommended action, or priority area, users need to understand why. Help define what the product must externalize — source provenance, data freshness, confidence and uncertainty, risk drivers, recommended action, and consequence of inaction — so users can trust, challenge, explain, and act on the system's output, • Study trust in automation and AI-assisted decisions. Investigate how expert users calibrate trust in automated recommendations: what evidence is enough to dispatch a crew, prioritize vegetation work, escalate an alert, or defer action? Where do users need override paths? What makes a recommendation credible in a high-consequence utility context? As workflows shift from manual execution toward automation, exception handling, and supervised intervention, this becomes a product and systems problem that research must inform, • Build an evidence architecture. Research outputs shouldn't live as scattered notes. Establish systems that make research reusable and compounding — connecting customer profile, workflow, decision, data source, product surface, failure mode, required evidence, design implication, product decision, and open questions. This becomes the foundation for how product, design, and cross-functional partners make decisions across roadmap cycles, • Bring research into product planning. Work with product managers to embed research into roadmap cycles — ensuring outcome statements are grounded in user evidence, that problem spaces are defined before solutions, and that teams have the user context they need to prioritize well, • Establish a shared vocabulary for Gridware's users. Operational evidence about who these people are, what they know, what they need to see in order to act, and what the cost of failure is in their context — not marketing personas, • Facilitate cross-functional research and alignment. Run workshops that bring product, engineering, GTM, and support into shared understanding of user problems. Help internal teams see the product through users' eyes, and ensure insights don't stay trapped in the design orgRequired Skills, • Research rigor with systems and descision-mapping thinking. Deep command of qualitative methods — interviews, contextual inquiry, usability testing, diary studies, workflow observation — applied with rigor, not ritual. You move fluidly from an individual user's experience to a service blueprint showing how the whole organization supports or undermines that experience, • Experience with expert users and technical domains. You're comfortable designing research with people who know more about their domain than you do. You can extract tacit knowledge from expert practitioners, and you don't need a product to be simple before you can research it, • High-stakes operational context fluency. You understand that when decisions carry real operational consequences, the research bar is higher. You can study consequential workflows without distorting them, and translate findings into product implications teams can act on — without oversimplifying the risk context, • Decision and service design literacy. You can produce a service blueprint and know how it differs from a journey map and when each is the right tool. You can facilitate a multi-stakeholder journey mapping workshop and turn the output into something product teams can actually use. You think natively in terms of decisions, evidence, and consequence, • Infrastructure builder, not just study runner. You've created research practices from scratch — the systems, templates, and repositories that make research institutional rather than ephemeral. You treat research output as product infrastructure, • Strong synthesis and communication. You move from raw data to structured insights to clear product implications without losing nuance. You write well. You can present to a leadership audience in a way that makes implications concrete and tradeoffs visible, • Autonomous and founding-team oriented. This is the first research role at Gridware. You're building the practice, not inheriting it — comfortable with ambiguity, resourceful, and energized by defining what research looks like at a company rather than fitting into an existing modelBonus Skills, • Background in infrastructure, energy, utilities, IoT, field operations, or similarly complex technical environments, • Experience researching products that involve automation, exception handling, or human-in-the-loop systems, • Fluency researching GIS, geospatial, or other data-rich expert workflows, • Familiarity with contributing to or shaping design system foundations, • Experience working across internal operations tools and customer-facing products simultaneously What Makes This Role Distinct This is not a research role attached to a single product team. You're working across Gridware's entire product ecosystem — Monitoring, Fleet, Field Software, Data Platform, Pole Health, and what comes next. The north star is a unified Gridware experience, where operators, analysts, field crews, utility partners, and customers experience Gridware as one connected product system even when the underlying work spans multiple lanes. At this time, Gridware is unable to provide visa sponsorship or immigration support for this role. We’re only able to consider candidates who are currently authorized to work in the country of employment without visa sponsorship now or in the future. This describes the ideal candidate; many of us have picked up this expertise along the way. Even if you meet only part of this list, we encourage you to apply! Gridware Technologies Inc. is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to any characteristic protected by applicable federal, state, or local law. BenefitsHealth, Dental & Vision (Gold and Platinum with some providers plans fully covered) Paid parental leave Alternating day off (every other Monday)“Off the Grid”, a two week per year paid break for all employees. Commuter allowance Company-paid training

Job Description CoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at www.coreweave.com. About the Role W&B Models is the experiment tracking platform used by the world's leading AI teams, from frontier labs training foundation models to enterprise teams fine-tuning for production. Researchers live in it daily: logging runs, comparing training curves, debugging divergences, building reports, and deciding what to try next. As Senior Product Manager for Models, you'll drive improvements across the core experiment workflow: how researchers design experiments, visualize what's happening inside them, monitor long-running training jobs, and analyze results across hundreds or thousands of runs. You'll do this at a moment when autoresearch and agentic workflows are reshaping what that loop looks like. Your job is to deeply understand how modern ML research actually gets done and make the inner loop of hypothesis → run → analysis → next run dramatically faster and more insightful. That loop looks different for a frontier researcher running thousand-run sweeps and an enterprise team fine-tuning open models against domain evals and cost targets – you'll serve both. This role reports to the Director of Product Management and partners closely with engineering, design, and teams across W&B and CoreWeave. What You'll Do • Advance the researcher's daily workflow. Experiment tracking is where researchers spend their days (and nights). You'll drive the roadmap for how runs are organized, compared, and understood, with a relentless focus on the questions researchers need to answer., • Rethink how training is visualized and monitored. Modern training runs are long, expensive, and failure-prone. You'll shape how W&B surfaces what matters mid-run — loss curves, system metrics, evals, anomalies — so teams catch problems early and understand their models more deeply, across web and mobile., • Make evaluations a first-class part of experiment tracking. Evals are how teams know whether a model is actually getting better, but today they live at arm's length from the training workflow. You'll drive the roadmap for logging, comparing, and analyzing eval results within Models — across runs, across training steps, and at the row level where regressions actually hide., • Make analysis at scale a first-class experience. As experiments grow from dozens of runs to thousands, the hard problems shift from logging to sense-making. You'll define how researchers slice, aggregate, and reason across large experiment histories, including where AI-assisted analysis can do work humans currently do by hand., • Ground every decision in how researchers actually work. You'll spend real time with users, from frontier lab researchers to individual practitioners, and translate what you learn into product decisions the whole team can rally behind., • Ship with quality and speed. You'll own execution from problem definition through launch and iteration, using usage data and customer feedback to guide each stage. W&B's users are discerning; polish and performance are features.Who You Are, • You've lived the ML researcher's workflow. You've trained models yourself, or worked so closely with researchers that their workflow is second nature. You know what it feels like to babysit a training run, debug a loss spike at 2am, or dig through a hundred runs to figure out which ablation mattered., • You have 3+ years of product management experience on technical products for developer or researcher audiences, with a track record of shipping products users love., • You have strong instincts for data visualization and product design. You can reason about what makes a chart, dashboard, or comparison view genuinely useful vs. merely present, and you sweat the details of how information is displayed., • You reach for AI tools instinctively. Claude, Codex, and agentic workflows are how you work: for prototyping, analysis, and exploring ideas. You're excited to build products for people who work the same way., • You're technically fluent. You can read a training script, discuss evaluation methodology, and hold your own in architecture conversations with engineers., • You communicate with clarity and precision, keeping engineering, design, and go-to-market stakeholders aligned without ceremony.Nice to Have, • Hands-on experience with experiment tracking tools, with opinions of where they all (especially W&B!) fall short, • Experience with enterprise ML platforms or fine-tuning services (SageMaker, Vertex, Databricks, Together, Fireworks), and views on what they get right and wrong, • Public technical writing, whether a paper, a conference talk, or blog posts discussing ML topics, • "AI Twitter" presence or participation., • Experience conducting user research and/or engaging in developer communities The base salary range for this role is $182,000 to $242,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). What We Offer The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs. The benefits below reflect our US-based offerings for full-time employees; for roles in other locations, benefits vary and are shared during the hiring process. These include: • Medical, dental, and vision insurance - 100% paid for by CoreWeave, • Company-paid Life Insurance, • Voluntary supplemental life insurance, • Short and long-term disability insurance, • Flexible Spending Account, • Health Savings Account, • Tuition Reimbursement, • Ability to Participate in Employee Stock Purchase Program (ESPP), • Mental Wellness Benefits through Spring Health, • Family-Forming support provided by Carrot, • Paid Parental Leave, • Flexible, full-service childcare support with Kinside, • 401(k) with a generous employer match, • Flexible PTO, • Catered lunch each day in our office and data center locations, • A casual work environment, • A work culture focused on innovative disruption California Applicants California Consumer Privacy Act Equal Opportunity & Accommodations CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA), CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: careers@coreweave.com. Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.

Job Description Staff Full Stack Engineer Location: New York City or San Francisco, CA Employment Type: Full-time Focus: Full-Stack Engineering, Audio AI, Data Infrastructure, AI/ML Tooling Experience: 6+ years About Our Client Our client is building the data infrastructure behind the next generation of audio AI. The company is creating high-quality datasets with the same level of rigor that leading AI labs bring to model development. Their work sits at the intersection of audio, speech, data infrastructure, machine learning, generative AI, and product engineering. Their belief is simple: audio is one of the key gateways for bringing AI into the real world. Speech is natural, accessible, and already embedded in how people communicate. As voice and audio models become more capable, high-quality training data is becoming one of the industry's biggest bottlenecks. Founded by former Scale AI engineers and operators, our client has already brought on leading FAANG companies and AI labs as customers and raised a $50M Series B from top-tier investors. About the Engineering Team The engineering team builds the systems that transform massive amounts of raw audio into high-signal training data for leading AI companies. The work spans: Product engineering Distributed systems Data infrastructure Machine learning Generative AI Digital signal processing Engineers operate with high ownership, move quickly, and work across the stack. The team collaborates directly with researchers and operations teams, ships production software frequently, and builds systems that process terabytes of speech data. About the Role Our client is hiring a Staff Full Stack Engineer to help lead the development of products and infrastructure used to understand, evaluate, and manage the audio datasets powering advanced AI models. This is a highly hands-on role for a senior technical builder who can lead complex full-stack projects, establish engineering standards, mentor engineers, and work directly with researchers to turn ideas into production systems. The right candidate combines strong product instincts with deep technical execution. They can move from prototype to polished product quickly without sacrificing quality. What You'll Do Lead full-stack product development across customer-facing and internal platforms Build scalable systems capable of processing and analyzing terabytes of audio data Rapidly prototype, ship, and iterate based on customer, researcher, and operations feedback Deploy and evaluate LLM, ML, and DSP-based systems for understanding and enriching audio datasets Build interfaces and tooling that help researchers and operations teams collect, evaluate, and manage data at scale Own technical architecture and major engineering decisions across the product Raise the engineering bar through architecture reviews, technical standards, and mentorship Identify emerging technologies across software engineering, AI, data infrastructure, and signal processing Help shape the engineering organization as the company continues to scale What We're Looking For 6+ years of product-focused full-stack engineering experience Strong fundamentals across modern frontend and backend development Experience building products from rapid prototypes through scalable production systems Track record of shipping software that creates measurable customer value Strong product judgment and an eye for intuitive, polished user experiences Experience working in fast-moving startup or high-growth engineering environments Ability to own ambiguous technical problems from architecture through deployment Experience providing technical leadership, mentorship, or engineering management High attention to detail without sacrificing speed Curiosity and ability to learn quickly in technical domains such as audio, AI, ML, and data infrastructure Previous audio or AI/ML experience is not required. Our client cares more about technical horsepower, product judgment, curiosity, and the ability to learn quickly. Bonus Experience Experience with digital signal processing, speech, or audio systems Experience building or deploying machine learning models in production Experience working with LLMs or modern generative AI systems Experience leading engineering teams in high-growth startup environments Experience building large-scale data processing systems or distributed systems Technology Relevant technologies include: Next.js TypeScript Tailwind CSS Node.js tRPC PostgreSQL AWS Trigger.dev WebRTC FFmpeg Experience with every tool is not required. Strong engineering fundamentals matter more than exact stack match. Why This Opportunity Join a heavily funded, fast-growing AI company while the engineering team is still small enough for individual impact Work on technology used by some of the most sophisticated AI labs and enterprise customers in the world Build at the intersection of product engineering, data infrastructure, AI, ML, and audio Own meaningful technical decisions across customer-facing products and internal systems Work directly with researchers and operators on high-impact production systems Help build the infrastructure and datasets that power the next generation of speech and audio intelligence Benefits Unlimited PTO Comprehensive health, dental, and vision coverage, with 100% coverage for most plans FSA and HSA access 401(k) access Lunch and dinner provided, plus snacks and beverages in office Company-sponsored fitness benefits Ideal Candidate Profile The ideal candidate is a Staff-level full-stack engineer who is still deeply hands-on. They have strong product instincts, technical range, and the ability to lead complex engineering work from ambiguity to production. They care about polished user experiences, scalable systems, and building products that create real customer value. This person should be excited to build in a fast-moving AI environment where audio, data infrastructure, research, and product engineering all come together.

We design and conduct In-Home Usage Testing (IHUT) locally and nationally to provide actual user feedback in real-time to companies and market research firms to evaluate products to ensure proper product certification and greater market access. The hours are completely flexible and no previous exper

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We want to work with experienced individuals who can take on any problem and solve it. Remove complexity from the users' shoulders. Have experience as a product designer working on complex products.

Experience with verbatim coding and/or AI text analysis tools. Experience building interactive dashboards or reusable reporting templates in Displayr (or similar tools such as Power BI or Tableau), enabling self-serve data exploration for research and client teams. Relevant academic project experien

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AI & Conversational Design Fluency: Experience designing AI-powered, conversational, or assistive experiences, with a focus on clarity, trust, and responsible presentation of AI output. Our enterprise customers across multiple verticals are empowered to personalize experiences with consumers at an i

Professional experience in print design.

Resolve overlaps, gaps, and conflicting approaches across teams before they become fragmented user experiences or duplicated investments. Create shared models, interaction patterns, navigation approaches, and experience principles that multiple teams can build against. Experience defining foundation

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Oura is looking for an experienced Product Designer to join our team, responsible for designing best-in-class eCommerce B2B experiences to support our commercial relationships. Experience owning and driving user research activities. Create user flows, wireframes, prototypes, and responsive web desig

We combine diverse work experiences and expertise to deliver meaningful, data-driven solutions. We value a diverse workforce and the benefits that come from research being conducted by individuals with varied backgrounds and life experiences. Prior experience working on relevant research and eval

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You’ll shape experience architecture, create reusable UX patterns, and help teams build experiences that feel connected as Reddit evolves. Strong systems thinking and experience designing platform-level or reusable product experiences. Every day, Reddit users submit, vote, and comment on the topic

Du hast ein abgeschlossenes Studium im Bereich User Experience Design oder eine vergleichbare Ausbildung mit mehrjähriger Berufserfahrung im UX/UI Bereich. Du bist für die konzeptionelle Gestaltung von digitalen Produkten (vor allem Websites) unter User Experience Gesichtspunkten verantwortlich.

Tight collaboration with experienced engineers and leaders. The estimated base salary range for this role is $190K-$270K, depending on experience and location. While a base salary range is listed, final compensation and leveling are determined holistically based on experience, impact, and role scope

Experience designing for physical real-world processes. Starting with business addresses and mail, we’re abstracting the complex, archaic systems that make company-building painful and turning them into delightful experiences — so that modern businesses have the tools they need to move forward f

You'll gain hands-on experience supporting protein development, purification, and analysis, while learning how these disciplines work together to drive innovation in precision fermentation. Some hands-on lab experience (academic, internship, or industry), with an emphasis on analytical instrumentati