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Location: Remote (United States) Thank you for considering Tailscale. If this job description resonates with you, please apply. Frequently cited statistics show that people who identify with historically marginalized groups are likely to apply to jobs only if they meet 100% of the qualifications. We encourage you to help us break that statistic! About Tailscale Tailscale is making safe connection effortless by delivering software that makes it easy to securely interconnect people and their devices, no matter where they are. From hobbyists to multinational corporations, teams of every size use Tailscale each day to protect their networks, share access to internal tools, and more. We're building a future for the Internet that's easy, sensible, and safe, like it used to be. Founded in 2019 and fully distributed, we're backed by Accel, CRV, Insight, Heavybit, and Uncork Capital. About the Role We’re seeking an experienced Staff Product Operations Manager to own how Tailscale’s Product org operates. You’ll look across how Product plans, launches, learns from customers, and measures results, identify the gaps that matter most, and design the systems to close them. You’ll partner with Product leadership as a strategic contributor and shape how Product connects to GTM, Support, Data, and company planning. Because we’re an early-stage, fully remote company, we’re looking for someone who works with full autonomy. You’ll turn broad goals into clear strategies, decide what’s worth pursuing, and build alignment at every level. You’ll report to the Manager, Program Management. Key Responsibilities You will work as part of the Program Management team to: Roadmap health Own the strategy and standards for roadmap health, including how initiative and epic dates and health are defined, tracked, and reported. Evolve the Product org’s continuous planning cadence as the company grows, and connect it to company planning. Own the external roadmap and how it’s communicated to customers and the field. Product launch health Define the launch framework and readiness standards used across Product, PMM, Sales, and Support. Partner with PMM, Sales, and Support leaders to make launch readiness consistent and measurable. Internal documentation and onboarding Set the standards for how Product org documentation is structured and maintained, so teams can keep it current themselves. Design the Product team’s onboarding program as the org grows. Feature request health Design the end-to-end feature request system, from intake in Jira to its connection with roadmap decisions. Give Product leadership a clear view of demand and how it’s reflected in the roadmap. Customer insight Own a single customer insight strategy that combines closed-lost data, feature requests, QBRs, and community feedback from Discord, Reddit, and GitHub into a view that informs prioritization. Operating rhythms Own the Product org’s operating model, including the customer QBR process for EPD and the internal MBR, and evolve them as needs change. Data health Define the Product org’s metrics and data strategy, partnering with Data so dashboards scale with new products and features. Across all areas Independently identify gaps in how Product operates, make the case to leadership, and drive solutions. Partner with Product leadership on priorities and trade-offs, bringing recommendations rather than status. Role Success This role is successful when Product leadership relies on product operations as a strategic partner, customer insight visibly shapes the roadmap, and the Product org’s operating model scales as Tailscale adds products and teams. What We Are Looking For 8+ years of experience in product operations, program management, or business operations, including designing an org’s operating model. A track record of starting high-impact operations initiatives yourself. Experience building customer insight systems that influence product prioritization. Experience setting launch frameworks and readiness standards across Product and GTM. Experience defining product metrics and data strategy with data teams. Systems thinking: the ability to see how Product’s processes affect GTM, Support, and company planning. Demonstrated ability to influence senior leaders and build alignment across orgs. Experience mentoring others and raising the quality of a team’s work. Exceptional written and verbal communication in an asynchronous, remote-first environment. As a company, we strive to maintain fair and equitable compensation practices within our team across all roles and all levels. Tailscale's compensation package includes base salary, equity, and comprehensive benefits. The salary range displayed on each job posting represents the target range for a new hire's base salary. Individual offers may vary based on experience and skill set. US Pay Range $149,000 — $186,000 USD What We Offer An inclusive, flexible environment where you can be your authentic self. We recognize the impact of diverse voices and backgrounds on the growth of our people, product, and company. And that flexibility in how and when you work empowers our team to integrate work and life. A competitive total compensation package. This includes a base salary, an equity incentive plan and variable commission (for quota-based roles). Comprehensive group benefits with no waiting period. Take advantage of coverage for health, vision, dental, and more for you and your family! Remote first company —most of our teams work fully remotely. Enjoy a change of scenery wherever you can get wifi, participate in virtual and in-person social events, and leverage our corporate co-working program to visit WeWork (or other similar spaces near you). Some roles require in-office collaboration depending on team needs, which will be clearly noted in the job description. Employer-funded retirement contributions. Tailscale will match your retirement contributions dollar-for-dollar, up to a maximum annual employer contribution equal to 0.75% of your eligible compensation. Connect with other Tailscalars IRL. Attend our annual company retreat, participate in team off-sites, and collaborate in person with teammates across Canada, the United States, the United Kingdom, and Singapore. We support intentional in-person connection through team travel and distributed collaboration. Support for your personal and professional development. Grow your career thoughtfully with $1500 USD annually for professional development, or take advantage of mentorship, coaching, and internal promotion opportunities. Paid time off and a healthy work-life integration. Our flexible, paid time off program supports you for any situation life throws your way, whether moving homes or travelling the world! A build-your-own home office setup. You choose your own company-owned laptop (Mac or PC), receive a monthly home internet reimbursement, and $500 USD to customize your workstation to make it your own. Paid parental leave program . We care about your life outside of work and encourage new parents to take advantage of parental leave top-ups (20 weeks for birthing parents, 16 weeks for non-birthing parents). Tailscale is committed to providing an accessible and inclusive hiring process. If you require an accommodation at any stage of the recruitment process or related to any aspect of this role, please contact your recruiter. Our hiring process uses AI-assisted tools to help screen and assess candidates. All hiring decisions are made by people. Please be aware that legitimate emails from Tailscale's talent team will only originate from @tailscale.com, @greenhouse.io, and @interviews.modernloop.io email addresses. For more information about protecting yourself from impersonators and scams, please visit https://tailscale.com/scam-awareness .

Location: Remote (Canada) Thank you for considering Tailscale. If this job description resonates with you, please apply. Frequently cited statistics show that people who identify with historically marginalized groups are likely to apply to jobs only if they meet 100% of the qualifications. We encourage you to help us break that statistic! About Tailscale Tailscale is making safe connection effortless by delivering software that makes it easy to securely interconnect people and their devices, no matter where they are. From hobbyists to multinational corporations, teams of every size use Tailscale each day to protect their networks, share access to internal tools, and more. We're building a future for the Internet that's easy, sensible, and safe, like it used to be. Founded in 2019 and fully distributed, we're backed by Accel, CRV, Insight, Heavybit, and Uncork Capital. About the Role We’re seeking an experienced Staff Product Operations Manager to own how Tailscale’s Product org operates. You’ll look across how Product plans, launches, learns from customers, and measures results, identify the gaps that matter most, and design the systems to close them. You’ll partner with Product leadership as a strategic contributor and shape how Product connects to GTM, Support, Data, and company planning. Because we’re an early-stage, fully remote company, we’re looking for someone who works with full autonomy. You’ll turn broad goals into clear strategies, decide what’s worth pursuing, and build alignment at every level. You’ll report to the Manager, Program Management. Key Responsibilities You will work as part of the Program Management team to: Roadmap health Own the strategy and standards for roadmap health, including how initiative and epic dates and health are defined, tracked, and reported. Evolve the Product org’s continuous planning cadence as the company grows, and connect it to company planning. Own the external roadmap and how it’s communicated to customers and the field. Product launch health Define the launch framework and readiness standards used across Product, PMM, Sales, and Support. Partner with PMM, Sales, and Support leaders to make launch readiness consistent and measurable. Internal documentation and onboarding Set the standards for how Product org documentation is structured and maintained, so teams can keep it current themselves. Design the Product team’s onboarding program as the org grows. Feature request health Design the end-to-end feature request system, from intake in Jira to its connection with roadmap decisions. Give Product leadership a clear view of demand and how it’s reflected in the roadmap. Customer insight Own a single customer insight strategy that combines closed-lost data, feature requests, QBRs, and community feedback from Discord, Reddit, and GitHub into a view that informs prioritization. Operating rhythms Own the Product org’s operating model, including the customer QBR process for EPD and the internal MBR, and evolve them as needs change. Data health Define the Product org’s metrics and data strategy, partnering with Data so dashboards scale with new products and features. Across all areas Independently identify gaps in how Product operates, make the case to leadership, and drive solutions. Partner with Product leadership on priorities and trade-offs, bringing recommendations rather than status. Role Success This role is successful when Product leadership relies on product operations as a strategic partner, customer insight visibly shapes the roadmap, and the Product org’s operating model scales as Tailscale adds products and teams. What We Are Looking For 8+ years of experience in product operations, program management, or business operations, including designing an org’s operating model. A track record of starting high-impact operations initiatives yourself. Experience building customer insight systems that influence product prioritization. Experience setting launch frameworks and readiness standards across Product and GTM. Experience defining product metrics and data strategy with data teams. Systems thinking: the ability to see how Product’s processes affect GTM, Support, and company planning. Demonstrated ability to influence senior leaders and build alignment across orgs. Experience mentoring others and raising the quality of a team’s work. Exceptional written and verbal communication in an asynchronous, remote-first environment. As a company, we strive to maintain fair and equitable compensation practices within our team across all roles and all levels. Tailscale's compensation package includes base salary, equity, and comprehensive benefits. The salary range displayed on each job posting represents the target range for a new hire's base salary. Individual offers may vary based on experience and skill set. CAN Pay Range $199,660 — $249,240 CAD What We Offer An inclusive, flexible environment where you can be your authentic self. We recognize the impact of diverse voices and backgrounds on the growth of our people, product, and company. And that flexibility in how and when you work empowers our team to integrate work and life. A competitive total compensation package. This includes a base salary, an equity incentive plan and variable commission (for quota-based roles). Comprehensive group benefits with no waiting period. Take advantage of coverage for health, vision, dental, and more for you and your family! Remote first company —most of our teams work fully remotely. Enjoy a change of scenery wherever you can get wifi, participate in virtual and in-person social events, and leverage our corporate co-working program to visit WeWork (or other similar spaces near you). Some roles require in-office collaboration depending on team needs, which will be clearly noted in the job description. Employer-funded retirement contributions. Tailscale will match your retirement contributions dollar-for-dollar, up to a maximum annual employer contribution equal to 0.75% of your eligible compensation. Connect with other Tailscalars IRL. Attend our annual company retreat, participate in team off-sites, and collaborate in person with teammates across Canada, the United States, the United Kingdom, and Singapore. We support intentional in-person connection through team travel and distributed collaboration. Support for your personal and professional development. Grow your career thoughtfully with $1500 USD annually for professional development, or take advantage of mentorship, coaching, and internal promotion opportunities. Paid time off and a healthy work-life integration. Our flexible, paid time off program supports you for any situation life throws your way, whether moving homes or travelling the world! A build-your-own home office setup. You choose your own company-owned laptop (Mac or PC), receive a monthly home internet reimbursement, and $500 USD to customize your workstation to make it your own. Paid parental leave program . We care about your life outside of work and encourage new parents to take advantage of parental leave top-ups (20 weeks for birthing parents, 16 weeks for non-birthing parents). Tailscale is committed to providing an accessible and inclusive hiring process. If you require an accommodation at any stage of the recruitment process or related to any aspect of this role, please contact your recruiter. Our hiring process uses AI-assisted tools to help screen and assess candidates. All hiring decisions are made by people. Please be aware that legitimate emails from Tailscale's talent team will only originate from @tailscale.com, @greenhouse.io, and @interviews.modernloop.io email addresses. For more information about protecting yourself from impersonators and scams, please visit https://tailscale.com/scam-awareness .

Location: Austin; Bellevue Workplace: OnSite LIFE AT UIPATH The people at UiPath believe in the transformative power of automation to change how the world works. We’re committed to creating category-leading enterprise software that unleashes that power. To make that happen, we need people who are curious, self-propelled, generous, and genuine. People who love being part of a fast-moving, fast-thinking growth company. And people who care—about each other, about UiPath, and about our larger purpose. Could that be you? About the team Vertical Solutions is where UiPath brings agentic AI into some of the world's most complex and demanding industries: healthcare and life sciences, financial services, and the office of the CFO. An AI decision here can shape how a claim is reviewed, how a patient's care progresses, or how a financial close is completed. The stakes are high, and so is the bar. Regulated does not mean complicated. We believe enterprise software should feel as clear, intuitive, and thoughtfully designed as the best consumer applications. Our designers are builders. We design in code with AI tools like Claude and Codex, co-create with customers, and ship directly to production alongside our engineering partners. AI isn't just what we design for; it's fundamentally changing how we work. We're looking for a Senior Manager, Product Design who can lead this next chapter: someone who thinks beyond individual products, connects experiences across industries, and builds the systems, strategies, and teams that make exceptional design scalable. About the role As Senior Manager, Product Design, you'll lead a team of senior and principal-level product designers responsible for user experiences across UiPath's Vertical Solutions portfolio. This is not a traditional design management role focused on assigning work, managing deliverables, or overseeing design reviews. Your team already knows how to execute. Your opportunity is to help them see further, think bigger, and create more cohesive experiences across products and industries. You'll set the design strategy for the Vertical Solutions portfolio, turn workflows that recur across industries (reviews, approvals, exception handling, human oversight of agents) into shared patterns, and build design systems that accelerate delivery without compromising quality. You'll also shape how AI transforms the design discipline itself. AI is collapsing the distance between an idea and working software, and that changes what design craft, collaboration, and quality look like. You'll lead this shift from the front, setting the workflows, standards, and quality bar that make AI-forward design work at scale. What you'll do - Set the design strategy. Define and communicate a cohesive, forward-looking experience vision across multiple products, industries, and business workflows. Connect near-term execution to longer-term product and design priorities. - Lead and empower an exceptional team. Manage and develop the team, providing strategic direction, thoughtful feedback, and the autonomy they need to do their best work. - Connect the dots across products. Identify the user needs and interaction patterns shared across healthcare, financial services, and finance operations, and turn individual solutions into reusable components and patterns that improve consistency, quality, and speed across the portfolio. - Lead AI-native design and delivery. Set how the team designs and builds with AI tools like Claude Code and Codex. Make working code and shipping to production, not static handoffs, the default way design gets delivered. - Partner deeply with product and engineering. Operate as an integrated member of cross-functional teams that plan, build, and ship together, influencing priorities, navigating tradeoffs, and ensuring design considerations shape product decisions from the beginning. - Stay connected to customers. Champion user research, direct customer engagement, and a deep understanding of how people work across different industries. Ensure product decisions reflect real user needs rather than assumptions. - Influence and advocate. Communicate design strategy and build alignment with senior product, engineering, and business leaders. - Stay hands-on. Build and ship yourself when it matters, critique work, and dig into complex design challenges with the team. What we're looking for - Proven experience leading product design teams, including at least two years managing a team of five or more designers, ideally including senior or principal-level individual contributors. - A strong background in product design, with experience shaping modern enterprise SaaS applications, business-user-facing products, or consumer digital experiences. - Demonstrated ability to establish design strategy across multiple products, teams, or business domains, not simply manage execution against an existing roadmap. - Deep systems thinking, including direct experience developing, scaling, or meaningfully evolving design systems and reusable experience patterns. - Hands-on experience designing with an AI-forward process. You use tools such as Claude Code and Codex in your day-to-day work to prototype, build, and ship, and can show examples of work produced this way. - A builder mindset. You understand how modern frontend applications come together and have shipped production code alongside engineering partners, or led designers who do. - Strong cross-functional leadership, with a track record of influencing product managers, engineers, and other stakeholders within a larger organization. - Strong customer empathy and experience using research, customer engagement, and real-world workflows to inform design decisions. - The ability to communicate complex ideas clearly and build alignment around a compelling design vision. - Comfort operating in ambiguity, navigating competing priorities, and making thoughtful decisions in a rapidly evolving technology environment. Nice to have - Experience designing AI-powered, agentic, or automation-driven products, particularly those involving human oversight, trust, or complex business workflows. - Experience spanning multiple industries, such as healthcare, financial services, enterprise software, or consumer technology. - Familiarity with GitHub and modern frontend development workflows. - Experience leading distributed teams or collaborating across North American and European time zones. - Experience evolving traditional design organizations toward AI-native, code-first ways of working. How we work We believe the future of product design is more integrated, more technical, and more collaborative. Our designers don't hand off static files to engineering. They prototype, build, and ship directly to production alongside their cross-functional peers. We use AI to reduce repetitive work, accelerate iteration, and create reusable systems that make the entire organization more effective. We also believe great design leadership is about creating clarity, not bureaucracy. Our designers are experienced, independent thinkers who thrive when given meaningful problems, strong strategic direction, and room to explore. You'll lead a team that spans multiple business domains and collaborates with colleagues across the United States and Europe. If you're energized by building exceptional teams, connecting complex problems, and redefining how AI-powered enterprise experiences are designed and delivered, we'd love to meet you. #LI-MH1 Maybe you don’t tick all the boxes above—but still think you’d be great for the job? Go ahead, apply anyway. Please. Because we know that experience comes in all shapes and sizes—and passion can’t be learned. Many of our roles allow for flexibility in when and where work gets done. Depending on the needs of the business and the role, the number of hybrid, office-based, and remote workers will vary from team to team. Applications are assessed on a rolling basis and there is no fixed deadline for this requisition. The application window may change depending on the volume of applications received or may close immediately if a qualified candidate is selected. We value a range of diverse backgrounds, experiences and ideas. We pride ourselves on our diversity and inclusive workplace that provides equal opportunities to all persons regardless of age, race, color, religion, sex, sexual orientation, gender identity, and expression, national origin, disability, neurodiversity, military and/or veteran status, or any other protected classes. Additionally, UiPath provides reasonable accommodations for candidates on request and respects applicants' privacy rights. To review these and other legal disclosures, visit our privacy policy https://www.uipath.com/legal/trust-and-security/privacy-policy.

Location: San Francisco, CA • New York, NY Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! Figma’s Interaction Design team helps designers express how interactive experiences behave from a single interaction, to a multi-state flow, to a series of complex animated transitions. We’re interested in making complex interactive behavior easier to author, refine and understand. This team investigates and identifies new ways to visualize and manage state, animations, interactions, and prototypes through click-through and code-backed experiences. As a PhD intern, you’ll combine HCI research with hands-on-engineering to help define the next generation of interactive experience design tooling. You’ll work closely with a mentor and teammates and get to learn, contribute, and grow in a supportive environment, while applying your research background to drive real-world impact. This 12 or 16-week internship for Summer 2027 will be based out of our San Francisco or New York hub. What you’ll do at Figma: Be fully embedded onto a Figma team working on problems that intersect with your research area Drive projects that apply research insights to meaningful product challenges Collaborate with engineers, PMs, designers, and researchers to scope and execute your work Develop, validate, and document solutions from prototypes to production-ready systems Share your expertise through presentations, design reviews, and cross-functional collaboration Deliver a project with real impact by the end of your internship We’d love to hear from you if you have: Current enrollment as a 4th or 5th year senior PhD student pursuing a PhD in Computer Science, Human-Computer Interaction, Artificial Intelligence, Machine Learning, or a related field Demonstrated ability to translate complex research concepts into practical, scalable solutions A track record of rigorous problem-solving through academic or applied research Proficiency in at least one general purpose coding language While it’s not required, it’s an added plus if you also have: A creative portfolio of work consisting of time-based media, animation, game development, digital illustration, or another creative field. Strong communication and interpersonal skills, with demonstrated experience collaborating across functions Experience using AI-assisted development tools (e.g., GitHub Copilot, ChatGPT, Claude) to write, debug, and optimize code Applied engineering skills via industry experience, prior internships or similar experience First-author publications in top academic conferences related to our team’s focus areas At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. Pay Transparency Disclosure This internship role is based in either Figma’s San Francisco or New York hub offices, and has the hourly base pay rate stated below.  Figma also offers interns a housing stipend and travel reimbursement. Figma’s compensation and benefits are subject to change and may be modified in the future. Internship $74 — $74 USD At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an equal opportunity workplace - we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status , or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to accommodations-ext@figma.com . These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities. Examples of accommodations include but are not limited to: Holding interviews in an accessible location Enabling closed captioning on video conferencing Ensuring all written communication be compatible with screen readers Changing the mode or format of interviews To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding. By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with Figma's Candidate Privacy Notice . Application limits: To help candidates focus on the opportunities most relevant to their skills and experience, Figma limits the number and frequency of applications. These limits apply to all roles: Candidates may submit up to 5 applications during any rolling 30-day period. Candidates may not reapply to the same role while an application is active or within 90 days of receiving a rejection. Once the applicable days has passed, candidates are welcome to apply again.

Location: Boston, MA Workplace: OnSite At WHOOP, we're on a mission to unlock and inspire performance for life. WHOOP empowers people to perform at a higher level through a deeper understanding of their bodies and daily lives. We handle massive amounts of data continuously streaming up to the cloud from people improving their health and wellness to the world’s greatest sports teams and athletes mandating a fault-tolerant and highly available product. The Connectivity team focuses on bridging the gap between embedded and mobile engineering, ensuring a seamless and consistent experience for members wearing a WHOOP strap. As a Staff Android Engineer on the Connectivity team you'll own the architecture of the software that connects WHOOP hardware to the Android app, and set the technical direction for how that connection performs at scale. From ensuring timely firmware updates to designing innovative ways to establish connections from software to hardware, we bring WHOOP to the highest level of performance and availability across the globe using the latest cutting edge technology. At the Staff level, your impact is measured as much by the engineers and decisions you influence as by the code you write. What you’ll do: - Own the architecture of the Android connectivity layer end to end, from the BLE transport up through history sync and firmware delivery, and drive its evolution across a large modular codebase - Collaborate within a cross-functional environment alongside WHOOP hardware, firmware, and software teams - Establish and refine communication protocols between the WHOOP strap and Android, ensuring alignment with iOS standards - Apply expert-level mastery of the Android Bluetooth stack to manage GATT operations, bonding, and reconnection logic in real-world scenarios - Own connection reliability across the fragmented Android device landscape by diagnosing and mitigating OEM specific Bluetooth, power management, and permission behavior - Create and own systems that aid in analyzing connectivity health of our members, and use that telemetry to set team priorities - Manage a prioritized backlog centered on reducing technical debt, improving code health, and enhancing module testability - Elevate engineering quality through rigorous code reviews, expanded test coverage, and refined architectural design practices - Utilize expert Kotlin proficiency to build product features and define patterns for the broader engineering team - Document new features and architecture using Jira, Confluence and preparing code using Github feature, develop, and master branches - Participate in the incident commander rotation for the whole WHOOP ecosystem and also the release process including getting the app built, managing build variants, signing, sending and testing through Firebase, and submitting to the Play Store - Analyze and monitor user metrics and feedback to determine crash rate or potential bugs and to improve engagement - Represent Android Connectivity in cross-functional forums, including bug triage, product syncs, and firmware coordination - Facilitate the ramp-up of mobile developers, mentor engineers across the Android organization, and assist the backend team with data contracts Who you are: - You are experienced working with consumer-facing apps that control BLE devices. - You have a track record of influencing engineers beyond your own team in the application of architectural and platform design principles - Expert knowledge of best practices for concurrency and multithreading, including Kotlin coroutines and Flow - Product minded engineer with empathy for the member experience - Willingness to learn and grow rapidly across Android and external systems - Extensive experience building, testing, debugging, and delivering native Android apps in a professional environment - Expert knowledge of Android application structure and components as well as lifecycle and Android Design Guidelines - Strong experience with Jetpack Compose and modern declarative Android UI - Experience with Kotlin and frameworks such as Koin, Android Jetpack libraries (including ViewModel, Flows, and Navigation), Room database, and Retrofit / OkHttp - Experience designing modular architecture and dependency boundaries in a large multi-module Gradle codebase, including patterns such as MVI and MVVM - Excellent knowledge of Android Studio, Gradle and CI systems - Experience debugging and diagnosing issues across complex or distributed systems such as firmware, mobile, and backend - Experience using Git to organize feature work - Experience communicating with a RESTful backend - Firm belief that automated testing is important and experience writing both Unit and UI tests - Excellent collaboration and communication skills, driving cross functional problem solving, tradeoff definition, and optimization - Strong commitment to embracing and leveraging AI tools in day-to-day tasks, ensuring AI-assisted work aligns with the same high-quality standards as personal contributions This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office. Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply. WHOOP is an Equal Opportunity Employer and participates in E-verify https://www.e-verify.gov/to determine employment eligibilityThe WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values. At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success. The U.S. base salary range for this full-time position is $170,000 - $230,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training. In addition to the base salary, the successful candidate will also receive benefits and a generous equity package. These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.

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Location: London, United Kingdom Workplace: none About InvestEngine InvestEngine is a fast-growing, London-based fintech on a mission to make ETF investing simple and accessible. More than 150,000 customers trust us with over £3.5 billion in assets, and we’ve been featured by Forbes, MoneyWeek and Finder. And we’re just getting started. About the Role We’re looking for a Middle Backend Engineer to join our Backoffice team. Backoffice is the technical foundation behind our growing business: the internal systems, workflows and integrations that Operations, Compliance and Business teams rely on every day. As the company scales, there are more processes to automate and more systems to strengthen than the current team can deliver. This isn’t a role for fast ticket execution. You’ll own problems end-to-end: understand how a back office process actually works, find where it can be automated or made more reliable, design a sound solution, align with the teams who depend on it and drive it through to production. It’s a hands-on engineering role with no people management. What You’ll Do Build and maintain backend services in Python 3.11 with Django / DRF Automate back office processes and workflows, working directly with Product, Compliance and Business teams Question proposed solutions and help shape the right one before building it Design and improve REST APIs for internal and external integrations Work with MySQL and Redis to improve performance, reliability and scalability Investigate and resolve production issues, find bottlenecks and reduce technical debt Contribute to architecture discussions and technical decisions in your area Improve our development processes and internal tooling Keep code quality, testing and engineering practices at a high standard Work with Git and CI/CD pipelines (TeamCity, GitHub Actions) What We’re Looking For 3+ years of backend development experience Strong Python skills and good knowledge of Django or a similar framework Solid understanding of relational databases, caching, REST APIs and service design Experience troubleshooting production issues Ownership: you can take a task and see it through independently Familiarity with Git, CI/CD practices and modern development workflows Good communication and problem-solving skills English at B2 level or higher, and fluent Russian Nice to Have Experience in fintech, regulated industries or internal B2B tools AWS and Docker Message brokers such as RabbitMQ or Kafka Open-source contributions or side projects No prior fintech experience is required. How We Work We’re a lean, collaborative engineering team where developers have real influence on architecture, product direction and engineering culture. You’ll have autonomy, trust and support while working on business-critical systems that scale with the company, without micromanagement or unnecessary bureaucracy. What We Offer Impact from day one on the systems that keep the business running Growth opportunities and increasing responsibility over time Influence on architecture and the long-term development of our platform Modern stack: Python 3.11, Django, MySQL, Redis, AWS, GitHub, TeamCity Fully remote, work from anywhere Unlimited vacation A supportive and experienced engineering team Hiring Process HR interview with our Talent team Technical interview with the Backend team Gamified cognitive assessment to understand how you think and problem-solve Final conversation with our CTO

Location: Poland - Remote Location: Poland – Remote Employment Type: Full-time, B2B Contract Compensation: PLN 12,000–22,000 net + VAT per month (B2B) About PubNub PubNub powers real-time interactive experiences that drive engagement, retention, and monetization. Our market-leading platform for real-time interactive apps enables customers to efficiently and effectively build, manage, and optimize engaging apps that captivate and delight users. Founded in 2012, PubNub is backed by notable investors like The Raine Group, Sapphire, Scale, Relay, Cisco, Bosch, Ericsson, and HPE. To date, over 2,000 companies worldwide, including Amazon, RingCentral, Gameloft, and DAZN, choose PubNub to build and enhance large-scale apps that launch quickly to engage, monetize, and retain users. At PubNub, you’ll enjoy the freedom of a remote-first environment paired with a collaborative culture designed to support your unique work style, so you can do your best work. About Blocks.ai Blocks.ai is a new initiative being built by PubNub, focused on connecting AI agents with the people, applications, and other agents that need to reach them. The team combines early-stage product ownership and experimentation with PubNub's infrastructure and engineering expertise. This role is part of PubNub and is dedicated to Blocks Network. About the Role We're looking for a technically hands-on Developer Advocate to help developers discover, build with, and successfully adopt Blocks.ai. You'll work at the intersection of engineering, developer education, community engagement, and product feedback. From building AI agents and sample applications to creating tutorials, engaging with technical communities, and supporting developer adoption, you'll play an important role in growing the Blocks.ai ecosystem. You'll collaborate closely with Product, Engineering, and Growth to make the platform more accessible and useful for developers and enterprise technical teams. Success in this role means enabling more developers to build and connect working AI agents, increasing engagement with the platform, and turning developer feedback into practical improvements. Key Responsibilities Build working AI agents, demos, sample applications, and reusable templates that demonstrate real-world Blocks.ai use cases. Create technical tutorials, articles, videos, workshops, and developer education materials. Engage with developers through GitHub, Discord, technical forums, community events, and hackathons. Help developers troubleshoot integrations and successfully connect agents, applications, and services. Identify onboarding friction and provide actionable feedback to Product and Engineering, including reproduction steps and improvement recommendations. Collaborate on documentation, SDKs, APIs, and developer tooling improvements. Support technical workshops, demos, and developer discussions with prospective enterprise customers. Track developer engagement, successful integrations, active agents, and ecosystem adoption. About You Minimum Requirements Experience in Developer Relations, Developer Advocacy, Software Engineering, or a similar developer-facing technical role. Strong hands-on programming experience in Python, TypeScript, or another relevant language. Practical experience building AI agents, LLM-powered applications, or integrations using APIs and frameworks. Experience creating technical content, developer demos, workshops, or sample applications. Ability to explain complex technical concepts clearly to developers with different experience levels. Strong problem-solving skills and a developer-first mindset. Experience collaborating with Engineering and Product teams to improve developer experiences. Strong English communication and presentation skills. Nice to Have Familiarity with MCP, agent-to-agent communication, or multi-agent architectures. Experience with emerging AI-agent frameworks and tools. Contributions to open-source projects or developer communities. Experience supporting technical evaluations, integrations, or enterprise developer adoption. Why PubNub At PubNub, you'll help power real-time experiences used by millions around the world. What sets us apart is our people-first culture and strong sense of collaboration. Our team values the opportunity to contribute meaningfully, grow their skills, and help build innovative, high-impact technology. We offer competitive B2B compensation and the flexibility of a remote-first environment. We're committed to fostering collaboration, professional growth, and opportunities to make a meaningful impact. With Blocks.ai, you'll also have the opportunity to help shape an emerging AI-agent platform, influence developer experience, and build a technical community from an early stage. Ready to Make an Impact? If you're passionate about AI agents, love building technical solutions, and enjoy helping developers succeed, we'd love to hear from you. Join us and help grow the developer ecosystem around Blocks.ai. Information Accuracy Candidates are expected to provide accurate, complete, and truthful information throughout the application and hiring process. Any material misrepresentation or omission may affect employment eligibility.

Location: Poland - Remote Location: Poland – Remote Employment Type: Full-time, B2B Contract Compensation: PLN 12,000–13,000 net + VAT per month (B2B) About PubNub PubNub powers real-time interactive experiences that drive engagement, retention, and monetization. Our market-leading platform for real-time interactive apps enables customers to efficiently and effectively build, manage, and optimize engaging apps that captivate and delight users. Founded in 2012, PubNub is backed by notable investors like The Raine Group, Sapphire, Scale, Relay, Cisco, Bosch, Ericsson, and HPE. To date, over 2,000 companies worldwide, including Amazon, RingCentral, Gameloft, and DAZN, choose PubNub to build and enhance large-scale apps that launch quickly to engage, monetize, and retain users. At PubNub, you’ll enjoy the freedom of a remote-first environment paired with a collaborative culture designed to support your unique work style, so you can do your best work. About the Role We're looking for a hands-on Developer Content Marketing Manager to create technical content that helps developers discover, understand, and build with PubNub. You'll own the creation and distribution of developer-focused content, from tutorials and demos to technical articles and videos. Working closely with Engineering, Developer Relations, and Growth, you'll turn complex technical topics into useful, engaging resources and ensure they reach developers where they learn and share ideas. Success in this role means building a consistent content engine that expands our developer reach, drives meaningful engagement, and contributes to developer acquisition. Key Responsibilities Create high-quality technical content, including tutorials, articles, videos, demos, code examples, and developer guides. Develop and execute a content distribution strategy across developer communities and channels, including GitHub, Reddit, Discord, YouTube, newsletters, and technical publications. Repurpose content into multiple formats to extend its reach and effectiveness. Partner with Engineering and Developer Relations to understand product capabilities, developer use cases, and emerging technical trends. Identify content opportunities based on developer questions, search behaviour, community discussions, and product priorities. Build and maintain a consistent publishing and distribution calendar. Monitor content performance, engagement, referral traffic, and developer signups, using insights to improve results. Experiment with AI-assisted content workflows and emerging developer discovery channels. About You Minimum Requirements Experience creating developer-focused technical content for APIs, SDKs, SaaS platforms, or developer tools. A portfolio demonstrating hands-on creation of tutorials, technical articles, demos, or videos. Experience distributing technical content through developer channels and communities. Strong writing, editing, and technical storytelling skills. Technical curiosity and the ability to work effectively with engineers and technical subject-matter experts. Experience analysing content performance and optimising for engagement, reach, and conversions. Strong English communication skills and the ability to work independently in a distributed team. Nice to Have Experience with API integrations, real-time applications, or developer infrastructure. Basic programming or scripting knowledge. Familiarity with AI coding assistants and how developers use LLMs to discover technical solutions. Experience with developer SEO, GitHub-based content, or open-source communities. Why PubNub At PubNub, you'll help power real-time experiences used by millions around the world. What sets us apart is our people-first culture and strong sense of collaboration. Our employees value the opportunity to contribute meaningfully, grow their skills, and help build innovative, high-impact technology. We offer competitive B2B compensation and the flexibility of a remote-first environment. We're committed to fostering collaboration, professional growth, and opportunities to make a meaningful impact. Ready to Make an Impact? If you're excited about creating technical content that developers genuinely find useful and helping that content reach a global audience, we'd love to hear from you. Join us and help more developers discover what's possible with PubNub. Information Accuracy Candidates are expected to provide accurate, complete, and truthful information throughout the application and hiring process. Any material misrepresentation or omission may affect employment eligibility.

RESPONSIBILITIES: Own the platform roadmap and architecture, setting priorities and directing work across staff and engineering partners. Design and maintain dbt models, the semantic layer, and data quality tests that keep reported numbers trusted.

Location: New York, Chicago, or Remote CCC Intelligent Solutions Inc. (CCC) is a leading cloud platform for the multi-trillion-dollar insurance economy , creating intelligent experiences for insurers, repairers, automakers, part suppliers, and more. At CCC, we’re making life just work by empowering more than 35,000 businesses with industry-leading technology to get drivers back on the road and to health quickly and seamlessly. We’re pushing boundaries with innovative AI solutions that simplify and enhance the claims and repair journey. Through purposeful innovation and the strength of its connections, CCC technologies empower the people and industry relied upon to keep lives moving forward when it matters most. Learn more about CCC at www.cccis.com . The Role As a Senior Software Engineer - Agentic you will build the event-driven systems that keep claims moving for our customers, connecting our AI agents to the rest of CCC. When these systems work, claims move faster and the machinery stays invisible. Agentic coding tools are how you move fast. What you add is what they are worst at: distributed-systems design, correctness when things fail partway, and the debugging nobody else gets to the bottom of. You own a product area end to end and define the reliability bar it ships against. Salary range is: $180,000 - 225,000 This position is bonus eligible. Key Responsibilities: Own the delivery of backend services, built in Python and TypeScript, from an ambiguous problem, scoped with product managers and data scientists, through production operation. Build and operate durable, event-driven, multi-tenant systems in which agents run as steps inside deterministic workflows, designing their failure modes, replay semantics, and cost profile before they show up under load. Own tracing and audit for your area: every model call and agent step recorded, so any recommendation can be reconstructed and cited back to its sources by on-call and auditors alike. Own how claims automation data is modeled and managed across our relational, document, and graph stores. Ensure the security and isolation of sensitive data. Author the design documents for complex systems to get feedback and buy-in, review other engineers' designs and code with the same care, and mentor the engineers in your area. Raise the bar for how the team works with agentic coding tools: sharpen the specifications, instruction files, hooks, and permission policies they run under, and hold generated code to the same review standard before it merges. Take part in a shared on-call rotation for the systems you own. Requirements: 6+ years of professional software engineering experience, including an event-driven system you designed, shipped to customers, and ran in production. Python and TypeScript at the level of setting a team's conventions, plus a background in a systems language such as Rust, Go, Java, or C#. Strong computer science and distributed-systems fundamentals you use at work: concurrency, consistency, ordering, and how systems fail. Event-driven systems built on a broker such as Kafka, Azure Event Hubs, or Service Bus that handle duplicate, late, and failed events without losing or double-processing work. Data modeling and development across relational, document, and graph databases such as PostgreSQL, MongoDB, and Neo4j, including when each type fits and the partition-key, consistency, and tenant-isolation calls you made. Systems architected and operated on Azure or AWS, with CI/CD and infrastructure as code, and hands-on time with a durable workflow engine such as Temporal or the Durable Task Scheduler. A clear account of how you constrain an agentic coding tool's context and verify its output, from daily use of Claude Code, Cursor, GitHub Copilot, or similar on production work, plus changes you turned back, and why. Technical design documents you have authored for systems that span more than one team, used to get feedback and buy-in before building, and that those teams then built to. Clear writing and discussion for technical and non-technical audiences: drawing out a customer's real problem and explaining the trade-offs back to them. Even Better if You Have: React and TypeScript experience, so you can deliver a full-stack feature end to end, especially chat, streaming, and citation-heavy AI experiences. Formal methods or fault-injection testing, such as Lean, TLA+, or deterministic simulation. Performance work below the application layer: profiling, memory, and concurrency tuning. Familiarity with how AI agents reach their tools and enterprise systems, through the Model Context Protocol (MCP), the Agent2Agent (A2A) protocol, command-line tools, and microservices. Exposure to the insurance, claims, or automotive repair domains. What Success Looks Like: In your first six months, services you built run in production against SLOs you set, and you can show they held as load grew. You are trusted with the hardest correctness and scale problems, and you turn them into a design, a shipped system, and a number you can put in front of a customer. You are energized by what agentic coding tools make possible. Your team ships more than its headcount suggests, and your specifications and reviews are why the output survives production. You have a passion for systems that last: failures are designed for in advance, and when one happens anyway, the trace says exactly where. Standards you set for reliability, reviews, and design documents outlive the project they started on. Engineers you mentor ship reliable services without your direct involvement. You enjoy getting a product manager, a data scientist, and a customer's team into one room and coming out with a single agreed scope, and you can argue a position without needing to win it. You embrace our ambitious, collaborative, and empathetic values, and you like problems where the answer has to be measured rather than argued. Interview Policy & Privacy Notice: A video interview is required for this position. Video interviews are transcribed. Transcriptions are retained and may be reviewed by CCC and our recruiters. Candidates are not permitted to use generative AI or automated assistance during the interviews unless explicitly allowed by the interview team for a specific exercise. Our Job Applicant Privacy Notice is available HERE . About CCC's Commitment to Employees: CCC Intelligent Solutions understands that our employees play an integral role in our vision to shape a world where life just works. Our team is defined by our values of Integrity, Customer-Focus, Innovation, Inclusion & Diversity, Tenacity, and Connection. Through diverse perspectives, purposeful innovation, and the strength of connections, our technologies empower the people and industry relied upon to keep lives moving forward when it matters most. At CCC, together everyone can thrive as we innovate and collaborate, creating employee experiences that just work. We are committed to providing opportunities for our people to make real-life impacts, advance in their careers, and contribute to CCC’s success. CCC offers competitive compensation and benefits to support you and your families, including: 401K Match Paid time off Annual Incentive Plan Performance Bonus Comprehensive health insurance Adoption Assistance Tuition Reimbursement Wellness Programs Stock Purchase Plan options Employee Resource Groups For more information about our benefits, please check out our careers site . Here, you belong. You are seen, valued, and respected. We celebrate you for who you are and all you bring. Every voice is heard and is important to our success. You can hear what employees have to say about our culture here

Location: Bengaluru, India We are looking for a Senior Data QE Engineer with solid experience in ETL testing and data validation, and strong SQL skills. You will design and run data quality tests, validate pipelines end to end, reconcile source and analytical data, and give engineering and business teams evidence for release decisions. You will also automate comparisons in Python, work with Airflow pipeline runs, and use AWS and Grafana to observe pipeline health. You will use an AI coding assistant to analyze data and author SQL, Python, and quality checks, and you will review generated output before it is used. This position is intended for Hyderabad-based candidates who are available to work from the office. The client runs a large application landscape and the analytical datasets behind it. Data moves from PostgreSQL sources on AWS into Snowflake through orchestrated pipelines. Quality for that data is part of delivery: test design, checks on movement and transformation, quality metrics, and practical help when data has to be corrected. Data QE engineers own that hands-on work for data moving from source systems into analytical datasets, from test design through execution, investigation, and release-readiness reporting. Own data quality for data moving from source systems into analytical datasets, from test design through execution, investigation, and reporting. Design, implement, and execute data quality tests, and publish quality metrics and dashboards that producing and consuming groups can use. Validate pipelines end to end, covering movement, transformation, completeness, history, freshness, and compliance. Write reconciliation, drift, and quality SQL on Snowflake layered models (raw, history, silver, and gold), including slowly changing dimensions and merge behavior. Validate PostgreSQL sources with consistent snapshot counts and checks that logical replication kept the expected data. Use logical and physical data models and data contracts to assess downstream impact and set quality coverage. Automate data comparison and reconciliation in Python with pytest, and keep the checks in GitHub. Trigger pipeline runs in Airflow and read task results into the quality verdict. Investigate quality issues and support remediation with the groups that produce and consume the data. Design failover, outage, and volume tests and judge the evidence, including recovery time and recovery point. The platform team executes destructive and chaos tests. Run read-only checks in pre-production and production. Integrate quality checks with CI/CD on GitHub Actions or an equivalent tool. Use AWS and Grafana to observe pipeline health, including CloudWatch metrics, secrets metadata, and container platform state. Check classification, masking, and retention against the stated data rules. Track defects to closure in Jira and keep test cases and results in TestRail. Provide quality evidence, risks, and readiness input for releases. Use an AI coding assistant to analyze data and author SQL, Python, and quality checks, and review generated output before it is used. Senior-level data quality engineering experience in ETL testing and data validation. Strong SQL and Snowflake data-modelling experience, including layered raw, history, silver, and gold models, reconciliation and drift queries, and slowly changing dimensions and merge behavior. Experience with logical and physical data models and with assessing the downstream impact of schema and data-contract changes. Experience validating PostgreSQL sources, including consistent snapshot counts and logical replication. Hands-on Python automation for data comparison and reconciliation, using pytest or an equivalent framework. Experience running and reading orchestrated pipelines in Airflow or an equivalent scheduler. Experience validating data movement, transformation, completeness, history, freshness, and compliance from source systems into analytical datasets. Experience diagnosing data quality issues and supporting remediation. Experience integrating data quality checks with CI/CD using GitHub Actions or equivalent tools. Experience with test management and defect tracking in TestRail and Jira. Working knowledge of AWS and Grafana for pipeline observation, including CloudWatch, secrets management, and container platforms. Experience designing resilience tests and judging evidence for failover, outage, volume, and recovery objectives. Working knowledge of data classification, masking, and retention checks. Experience producing data quality metrics, reports, and dashboards. Experience with risk-based testing in Agile or Kanban teams. Hands-on use of AI coding assistants (Cursor, GitHub Copilot, Claude Code, Codex, or equivalent) to author SQL, Python, and quality checks, with human review of generated output. Ability to communicate clearly with engineering and business stakeholders. Experience providing quality evidence, risks, and readiness input for releases. Experience observing Snowflake Openflow or NiFi connector state well enough to recognize a stalled load. Experience with custom cross-table data quality checks that publish results for dashboarding. Familiarity with GenAI, LLMs, and agentic workflows for maintaining data quality checks. Familiarity with RAG and MCP concepts for QE tooling and for generating test data. Knowledge of AI-driven test optimization and coverage analytics (SeaLights or equivalent). Experience with service virtualization using WireMock or an equivalent tool, so checks can run when a dependency is unavailable. Experience specifying and reviewing dbt tests. Developers author those tests.

Разработка программного обеспечения по заданию и его обслуживание; Выполнение тасок на разработку и обслуживание программного обеспечения.

Location: Mississauga, Ontario Workplace: hybrid At PointClickCare our mission is simple: to help providers deliver exceptional care. And that starts with our people. As a leading health tech company that’s founder-led and privately held, we empower our employees to push boundaries, innovate, and shape the future of healthcare.   With the largest long-term and post-acute care dataset and a Marketplace of 400+ integrated partners, our platform serves over 30,000 provider organizations, making a real difference in millions of lives. We also reinvest a significant percentage of our revenue back into research and development, ensuring our employees have the resources to innovate and make a lasting impact. Recognized by Forbes as a top private cloud company and honored as one of Canada’s Most Admired Corporate Cultures, we offer flexibility, growth opportunities, and meaningful work.    At PointClickCare, we empower our people to be the architects of a smarter healthcare future; one that is human-first and accelerated by AI to create meaningful and lasting change. Employees harness AI as a catalyst for creativity, productivity, and thoughtful decision-making. By integrating AI tools into our daily workflows, collaboration is enhanced, outcomes are improved, and every team member has the proficiency to maximize their impact. It all starts with our hiring practices where we uncover AI expertise that complements our mission, and we continue to invest in training and development to nurture innovation throughout the employee journey.   Join us in redefining healthcare — so it doesn’t just survive, it thrives. To learn more about PointClickCare, check out Life at PointClickCare and connect with us on Glassdoor and LinkedIn.     **Travel to Office expectations** For Remote Roles: If this role is remote, there will be in-office events that will require travel to and from the Mississauga and/or Salt Lake City office. These will include, but not limited to, onboarding, team events, semi-annual and annual team meetings.   For Hybrid Roles: If this role is Hybrid, there will be an expectation to reside within commutable distance to the office/location specified in the job listing. This will include, but not limited to, weekly/bi-weekly/monthly events in the office with your specific team. This is a requirement for this role. About the role:   You will join a high-impact team transforming healthcare through technology. Our platform  connects fragmented clinical systems to enable real-time care coordination across  thousands of healthcare facilities, serving millions of users. You will design and build  scalable platform services, leveraging modern AI-augmented engineering practices to  accelerate delivery, improve reliability, and enhance clinical and operational outcomes   What your day-to-day will look like:           • Build robust platform services supporting clinical operations          • Partner with product and clinical teams to understand and solve real workflow             challenges         • Drive architectural decisions for business platform services         • Own the reliability and performance of critical healthcare solutions         • Mentor team members on modern engineering practices   What qualifications we’re looking for:   Required Technical Experience           •Strong track record building and shipping production software in modern languages            (Java, Python, or similar)          • Deep understanding of cloud-native architecture and distributed systems design             patterns          • Expertise in design, optimization, and scaling for relational (SQL) database             systems, bonus points for NoSQL database systems                         • Experience designing and implementing RESTful APIs and microservices          • Proficiency with test-driven development, automated testing, and maintaining high             code quality          • Hands-on experience with modern frontend frameworks, primarily React          • Working knowledge of CI/CD pipelines and infrastructure-as-code practices          • Experience with production observability, monitoring, and performance             optimization tools   Modern Engineering Practices         • Comfortable using AI-augmented development tools (e.g., GitHub Copilot, Claude             Code) as part of your workflow          • Experience applying AI tools throughout the development lifecycle from             requirements analysis, documentation to incident response         • Strong code review skills demonstrated through giving and receiving constructive             feedback          • Experience with Git workflows and collaborative development practices          • Ability to balance feature delivery with system reliability and technical excellence          • Comfortable with on-call responsibilities and incident response  What Would Make You Stand Out         • Experience building and scaling SaaS platforms         • Track record of mentoring engineers or leading technical initiatives         • Background with Spring Boot and Java ecosystem         • Experience with Azure cloud services and Kubernetes (AKS)         • Experience in healthcare technology or regulated industries         • Understanding of HIPAA compliance and handling sensitive data   Our Stack         • Front-End: React, Micro-Frontends, Material-UI         • Backend: Java, Spring Boot         • Data: PostgreSQL, MSSQL, Redis         • CI/CD: GitHub Actions, Jenkins         • Infrastructure: Azure, AKS, Terraform         • AI Tooling: Claude Code, Copilo     #LI-AJ1 #LI-Hybrid PointClickCare Benefits & Perks:   Benefits starting from Day 1! Retirement Plan Matching Flexible Paid Time Off Wellness Support Programs and Resources Parental & Caregiver Leaves Fertility & Adoption Support Continuous Development Support Program Employee Assistance Program Allyship and Inclusion Communities Employee Recognition … and more!   It is the policy of PointClickCare to ensure equal employment opportunity without discrimination or harassment on the basis of race, religion, national origin, status, age, sex, sexual orientation, gender identity or expression, marital or domestic/civil partnership status, disability, veteran status, genetic information, or any other basis protected by law. PointClickCare welcomes and encourages applications from people with disabilities. Accommodations are available upon request for candidates taking part in all aspects of the selection process. Please contact recruitment@pointclickcare.com should you require any accommodations. As part of our commitment to a streamlined and equitable hiring experience, PointClickCare uses AI tools to assist with candidate screening and assessment.   When you apply for a position, your information is processed and stored with Lever, in accordance with Lever’s Privacy Policy. We use this information to evaluate your candidacy for the posted position. We also store this information, and may use it in relation to future positions to which you apply, or which we believe may be relevant to you given your background. When we have no ongoing legitimate business need to process your information, we will either delete or anonymize it.  If you have any questions about how PointClickCare uses or processes your information, or if you would like to ask to access, correct, or delete your information, please contact PointClickCare’s human resources team: recruitment@pointclickcare.com    PointClickCare is committed to Information Security. By applying to this position, if hired, you commit to following our information security policies and procedures and making every effort to secure confidential and/or sensitive information. At PointClickCare, base salary is one of the many components that make up our total rewards package. The CAD base salary range for this position is $130,100-162,600+ bonus + equity + benefits. Our salary ranges are determined by job and level. The range displayed on each job posting reflects the target for new hire salaries for the position across all CAD locations. Within the range, individual compensation is determined by job-related skills and knowledge, relevant experience including professional and lived experience, and/or work location. Your recruiter can share more information about our total rewards package during the hiring process.

Location: Mississauga, Ontario Workplace: hybrid At PointClickCare our mission is simple: to help providers deliver exceptional care. And that starts with our people. As a leading health tech company that’s founder-led and privately held, we empower our employees to push boundaries, innovate, and shape the future of healthcare.   With the largest long-term and post-acute care dataset and a Marketplace of 400+ integrated partners, our platform serves over 30,000 provider organizations, making a real difference in millions of lives. We also reinvest a significant percentage of our revenue back into research and development, ensuring our employees have the resources to innovate and make a lasting impact. Recognized by Forbes as a top private cloud company and honored as one of Canada’s Most Admired Corporate Cultures, we offer flexibility, growth opportunities, and meaningful work.    At PointClickCare, we empower our people to be the architects of a smarter healthcare future; one that is human-first and accelerated by AI to create meaningful and lasting change. Employees harness AI as a catalyst for creativity, productivity, and thoughtful decision-making. By integrating AI tools into our daily workflows, collaboration is enhanced, outcomes are improved, and every team member has the proficiency to maximize their impact. It all starts with our hiring practices where we uncover AI expertise that complements our mission, and we continue to invest in training and development to nurture innovation throughout the employee journey.   Join us in redefining healthcare — so it doesn’t just survive, it thrives. To learn more about PointClickCare, check out Life at PointClickCare and connect with us on Glassdoor and LinkedIn.     **Travel to Office expectations** For Remote Roles: If this role is remote, there will be in-office events that will require travel to and from the Mississauga and/or Salt Lake City office. These will include, but not limited to, onboarding, team events, semi-annual and annual team meetings.   For Hybrid Roles: If this role is Hybrid, there will be an expectation to reside within commutable distance to the office/location specified in the job listing. This will include, but not limited to, weekly/bi-weekly/monthly events in the office with your specific team. This is a requirement for this role. About the role:   You will join a high-impact team transforming healthcare through technology. Our platform  connects fragmented clinical systems to enable real-time care coordination across  thousands of healthcare facilities, serving millions of users. You will design and build  scalable platform services, leveraging modern AI-augmented engineering practices to  accelerate delivery, improve reliability, and enhance clinical and operational outcomes   What your day-to-day will look like:           • Build robust platform services supporting clinical operations          • Partner with product and clinical teams to understand and solve real workflow             challenges         • Drive architectural decisions for business platform services         • Own the reliability and performance of critical healthcare solutions         • Mentor team members on modern engineering practices   What qualifications we’re looking for:   Required Technical Experience           •Strong track record building and shipping production software in modern languages            (Java, Python, or similar)          • Deep understanding of cloud-native architecture and distributed systems design             patterns          • Expertise in design, optimization, and scaling for relational (SQL) database             systems, bonus points for NoSQL database systems                         • Experience designing and implementing RESTful APIs and microservices          • Proficiency with test-driven development, automated testing, and maintaining high             code quality          • Hands-on experience with modern frontend frameworks, primarily React          • Working knowledge of CI/CD pipelines and infrastructure-as-code practices          • Experience with production observability, monitoring, and performance             optimization tools   Modern Engineering Practices         • Comfortable using AI-augmented development tools (e.g., GitHub Copilot, Claude             Code) as part of your workflow          • Experience applying AI tools throughout the development lifecycle from             requirements analysis, documentation to incident response         • Strong code review skills demonstrated through giving and receiving constructive             feedback          • Experience with Git workflows and collaborative development practices          • Ability to balance feature delivery with system reliability and technical excellence          • Comfortable with on-call responsibilities and incident response  What Would Make You Stand Out         • Experience building and scaling SaaS platforms         • Track record of mentoring engineers or leading technical initiatives         • Background with Spring Boot and Java ecosystem         • Experience with Azure cloud services and Kubernetes (AKS)         • Experience in healthcare technology or regulated industries         • Understanding of HIPAA compliance and handling sensitive data   Our Stack         • Front-End: React, Micro-Frontends, Material-UI         • Backend: Java, Spring Boot         • Data: PostgreSQL, MSSQL, Redis         • CI/CD: GitHub Actions, Jenkins         • Infrastructure: Azure, AKS, Terraform         • AI Tooling: Claude Code, Copilo     #LI-AJ1 #LI-Hybrid PointClickCare Benefits & Perks:   Benefits starting from Day 1! Retirement Plan Matching Flexible Paid Time Off Wellness Support Programs and Resources Parental & Caregiver Leaves Fertility & Adoption Support Continuous Development Support Program Employee Assistance Program Allyship and Inclusion Communities Employee Recognition … and more!   It is the policy of PointClickCare to ensure equal employment opportunity without discrimination or harassment on the basis of race, religion, national origin, status, age, sex, sexual orientation, gender identity or expression, marital or domestic/civil partnership status, disability, veteran status, genetic information, or any other basis protected by law. PointClickCare welcomes and encourages applications from people with disabilities. Accommodations are available upon request for candidates taking part in all aspects of the selection process. Please contact recruitment@pointclickcare.com should you require any accommodations. As part of our commitment to a streamlined and equitable hiring experience, PointClickCare uses AI tools to assist with candidate screening and assessment.   When you apply for a position, your information is processed and stored with Lever, in accordance with Lever’s Privacy Policy. We use this information to evaluate your candidacy for the posted position. We also store this information, and may use it in relation to future positions to which you apply, or which we believe may be relevant to you given your background. When we have no ongoing legitimate business need to process your information, we will either delete or anonymize it.  If you have any questions about how PointClickCare uses or processes your information, or if you would like to ask to access, correct, or delete your information, please contact PointClickCare’s human resources team: recruitment@pointclickcare.com    PointClickCare is committed to Information Security. By applying to this position, if hired, you commit to following our information security policies and procedures and making every effort to secure confidential and/or sensitive information. At PointClickCare, base salary is one of the many components that make up our total rewards package. The CAD base salary range for this position is $142,700-178,400+ bonus + equity + benefits. Our salary ranges are determined by job and level. The range displayed on each job posting reflects the target for new hire salaries for the position across all CAD locations. Within the range, individual compensation is determined by job-related skills and knowledge, relevant experience including professional and lived experience, and/or work location. Your recruiter can share more information about our total rewards package during the hiring process.

Location: Canada What The Role Is We're hiring a Staff MLE for the Discovery team to own recommendations and personalization across Babylist's consumer experience — the homepage feed, product recs, search, and the ML-powered systems that make registry building feel effortless. Babylist was built on editorial recommendations: products chosen by people with deep baby gear expertise. That editorial foundation is a big part of why millions of families trust us. We're now building ML-powered personalization on top of it, using one of the richest first-party datasets in parenting. We're early in this work, and we have a real mandate. A small Discovery team has initial retrieval and reranking models live on parts of the site and a steady cadence of A/B tests. We are looking for a Staff MLE who has seen personalization done well at scale and can set the technical direction for where we go next. Registry building is the heart of the Babylist product. Every parent builds a list of dozens of products, from swaddle to stroller, with real stakes (a friend or family member is going to buy these things, and a baby is going to use them). As a universal registry, this registry also typically spans many retailers. This makes registry building on Babylist one of the most interesting personalization problems in consumer e-commerce: latent intent, life-stage progression, multi-stakeholder gift dynamics, deep declarative signal in millions of completed registries, cross-retailer datapoints, and a user who genuinely wants help. If you want to join a mature ML org and tune models at the margins, this isn't the right role. If you've worked inside a strong recommendations team, learned what good looks like, and want to build from zero-to-one at a company earlier in the journey, read on. What You'll Own You'll be the technical lead for personalization on the Discovery team, working alongside a PM, Engineering Manager, Senior MLE and fullstack software engineers. You set where our models go over the next year or two, sequence the bets that get there, and stay deep in building. A few examples of the problems you’ll get to shape: Product recommendations across every surface. Product detail pages, add-next recommendations after someone adds to their registry, vibes/aesthetic representations of products and the shared models underneath them. Personalizing the Feed. Deciding which products, editorial content and social content each family sees, and in what order. Personalizing search. Bringing what we know about a family into search results, and helping decide how much search should share retrieval and ranking with recommendations. Making Addie (our AI registry assistant) better at recs. Working with the team behind Addie so its product suggestions draw on the same models and signals as the rest of the site. In practice, you will: Take a fuzzy business problem from first sketch to production model, and own whether it moved the metric. Make the modeling and architecture calls that span surfaces and are expensive to reverse. Design the evaluation, offline and online, that tells us a model is good before and after it ships. Know when a rule or a simple baseline is the right first step, and when it's time to pursue more advanced approaches. Partner with product, design and data to help shape what's worth building. Coach engineers on the team, and more broadly be an ML expert and resource to the wider engineering org. Who You Are You’ve shipped recommendation and/or personalization systems that reached real users at scale within a consumer product, and can point to the business impact of your work. You’ve done this within a team that did ML well — you know what good looks like, and are motivated to bring that to a company earlier in their ML journey. You bring: Expertise in recommender fundamentals: for example, candidate generation vs. ranking, offline vs. online evaluation, cold start solutions, and handling position and popularity bias. Fluency in the Python ML stack and comfort owning models through deployment and monitoring, including contributions to our application backend. An ability to take an ambiguous problem and start moving before anyone hands you the full picture. A builder's instinct for early-stage ML. You understand effort vs. effectiveness tradeoffs and can advocate for when a rule beats a model, or a model is “good enough” for early learnings. An outcome and user focused mindset. You measure yourself by business impact, and you can connect a model change to user experience & registry adds, conversion or revenue. AI-native daily practice. You're already using AI to move faster and improve your output, and you stay curious about what's coming next. Compensation We post real numbers. For a Canada-based Staff Engineer, the starting base salary range is 299,300 to 372,600 CAD plus a target annual bonus of 20 percent of base. That's total target cash of roughly 359,160 to 447,120 CAD. On top of that you get meaningful equity and a 401(k) match. Where you start in that range depends on your experience, and your pay grows from there with performance and scope. How We Build AI is the default here. Engineers run agentic sessions for most of the work, and a lot of the interesting engineering now lives in the scaffolding that makes the agents good: the eval harnesses, the curated context, custom review skills and fast CI. Agents also triage incidents and handle a big share of support. A human always owns the outcome. The architecture is intentionally simple: one Rails monolith, MySQL and few moving parts. That's deliberate. Simple infrastructure lets us move fast and lets AI reason about the whole system, so the hardest problems are the ones in front of customers. The Stack Core app: Rails, Packwerk, React, TypeScript, Sidekiq Mobile: iOS (Swift), Android (Kotlin) Data, search & events: MySQL, Snowflake, dbt, Airflow, Weaviate, WarpStream, Hex, Sigma Machine learning: deep learning, matrix factorization, retrieval & ranking, AWS SageMaker, MLflow AI & dev tooling: Claude Code, Devin, Linear, CodeRabbit, Warden, LangChain, Bedrock AgentCore, Maxim Infra & ops: AWS, Kubernetes, Terraform, GitHub Actions, Datadog, incident.io, LaunchDarkly Key integrations: Shopify (payments), Iterable (CRM) Why Babylist An engineer, expecting her first baby, couldn't find the registry she wanted. So she built it. That's how Babylist started, and it's still how we work: engineers solving problems for families. Becoming a parent is one of the biggest moments in a person's life. Millions reach it for the first time every year, making thousands of decisions and figuring it out as they go. That's who we build for, and we're a long way from done. Ten million people give gifts through Babylist every year. We did more than $750M in revenue in 2025, up 45 percent over the year before, and we've been profitable for eight years while staying independent. So you can take on a hard, multi-year problem without watching over your shoulder for the next round or the next correction. And the team is small, around 65 engineers, so what you ship stays visible and your scope stays wide. How We Work Remote-first across the US and Canada, and we have been for years. That's not changing. We trust you to own your time and your outcomes, and we get everyone in a room together twice a year. Teams are small, pods of three to five engineers, so nothing you ship disappears into a committee. You'll work shoulder to shoulder with product, design and data, and with the partners across the business who rely on what you ship. You'll also stay close to customers yourself: sitting in on user interviews, watching session recordings, riding along with support. Here that's part of the engineering job, on a regular basis. How We Hire Three rounds, usually two to three weeks start to finish. Recruiter conversation (30 minutes). Trade context: what you want next, what we're building and straight answers on comp, team and remote. Technical screen (1 hour). One round, no AI, language-agnostic. Reach for Google when you normally would. We just want to see how you reason from first principles. Final round (4 hours). Four one-hour interviews: system design, AI-assisted coding with the tools you'd actually use here, product sense and culture and values. You'll hear back either way within 24 to 48 hours. If your timeline is tight, tell us and we'll move faster. Benefits Company-paid medical and fully covered dental and vision A 401(k) match Generous paid parental leave for birthing and non-birthing parents, plus a gradual return-to-work program Winter Wonder Week, a paid company-wide week off at the end of the year A remote-work stipend Mental-health and wellness support A Few Things To Know We record and transcribe interviews to evaluate candidates, in line with applicable privacy laws. We expect you to use AI in your work and we welcome it in the process, but what you submit and say should reflect your own thinking. If you have a family member or close relationship with a Babylist employee, let your recruiter know. Official outreach only ever comes from an @babylist.com address

Location: United States What The Role Is We're hiring a Staff MLE for the Discovery team to own recommendations and personalization across Babylist's consumer experience — the homepage feed, product recs, search, and the ML-powered systems that make registry building feel effortless. Babylist was built on editorial recommendations: products chosen by people with deep baby gear expertise. That editorial foundation is a big part of why millions of families trust us. We're now building ML-powered personalization on top of it, using one of the richest first-party datasets in parenting. We're early in this work, and we have a real mandate. A small Discovery team has initial retrieval and reranking models live on parts of the site and a steady cadence of A/B tests. We are looking for a Staff MLE who has seen personalization done well at scale and can set the technical direction for where we go next. Registry building is the heart of the Babylist product. Every parent builds a list of dozens of products, from swaddle to stroller, with real stakes (a friend or family member is going to buy these things, and a baby is going to use them). As a universal registry, this registry also typically spans many retailers. This makes registry building on Babylist one of the most interesting personalization problems in consumer e-commerce: latent intent, life-stage progression, multi-stakeholder gift dynamics, deep declarative signal in millions of completed registries, cross-retailer datapoints, and a user who genuinely wants help. If you want to join a mature ML org and tune models at the margins, this isn't the right role. If you've worked inside a strong recommendations team, learned what good looks like, and want to build from zero-to-one at a company earlier in the journey, read on. What You'll Own You'll be the technical lead for personalization on the Discovery team, working alongside a PM, Engineering Manager, Senior MLE and fullstack software engineers. You set where our models go over the next year or two, sequence the bets that get there, and stay deep in building. A few examples of the problems you’ll get to shape: Product recommendations across every surface. Product detail pages, add-next recommendations after someone adds to their registry, vibes/aesthetic representations of products and the shared models underneath them. Personalizing the Feed. Deciding which products, editorial content and social content each family sees, and in what order. Personalizing search. Bringing what we know about a family into search results, and helping decide how much search should share retrieval and ranking with recommendations. Making Addie (our AI registry assistant) better at recs. Working with the team behind Addie so its product suggestions draw on the same models and signals as the rest of the site. In practice, you will: Take a fuzzy business problem from first sketch to production model, and own whether it moved the metric. Make the modeling and architecture calls that span surfaces and are expensive to reverse. Design the evaluation, offline and online, that tells us a model is good before and after it ships. Know when a rule or a simple baseline is the right first step, and when it's time to pursue more advanced approaches. Partner with product, design and data to help shape what's worth building. Coach engineers on the team, and more broadly be an ML expert and resource to the wider engineering org. Who You Are You’ve shipped recommendation and/or personalization systems that reached real users at scale within a consumer product, and can point to the business impact of your work. You’ve done this within a team that did ML well — you know what good looks like, and are motivated to bring that to a company earlier in their ML journey. You bring: Expertise in recommender fundamentals: for example, candidate generation vs. ranking, offline vs. online evaluation, cold start solutions, and handling position and popularity bias. Fluency in the Python ML stack and comfort owning models through deployment and monitoring, including contributions to our application backend. An ability to take an ambiguous problem and start moving before anyone hands you the full picture. A builder's instinct for early-stage ML. You understand effort vs. effectiveness tradeoffs and can advocate for when a rule beats a model, or a model is “good enough” for early learnings. An outcome and user focused mindset. You measure yourself by business impact, and you can connect a model change to user experience & registry adds, conversion or revenue. AI-native daily practice. You're already using AI to move faster and improve your output, and you stay curious about what's coming next. Compensation We post real numbers. For a US-based Staff Engineer, the starting base salary range is $233,500 to $290,700, plus a target annual bonus of 20 percent of base. That's total target cash of roughly $280,200 to $348,840. On top of that you get meaningful equity and a 401(k) match. Where you start in that range depends on your experience, and your pay grows from there with performance and scope. How We Build AI is the default here. Engineers run agentic sessions for most of the work, and a lot of the interesting engineering now lives in the scaffolding that makes the agents good: the eval harnesses, the curated context, custom review skills and fast CI. Agents also triage incidents and handle a big share of support. A human always owns the outcome. The architecture is intentionally simple: one Rails monolith, MySQL and few moving parts. That's deliberate. Simple infrastructure lets us move fast and lets AI reason about the whole system, so the hardest problems are the ones in front of customers. The Stack Core app: Rails, Packwerk, React, TypeScript, Sidekiq Mobile: iOS (Swift), Android (Kotlin) Data, search & events: MySQL, Snowflake, dbt, Airflow, Weaviate, WarpStream, Hex, Sigma Machine learning: deep learning, matrix factorization, retrieval & ranking, AWS SageMaker, MLflow AI & dev tooling: Claude Code, Devin, Linear, CodeRabbit, Warden, LangChain, Bedrock AgentCore, Maxim Infra & ops: AWS, Kubernetes, Terraform, GitHub Actions, Datadog, incident.io, LaunchDarkly Key integrations: Shopify (payments), Iterable (CRM) Why Babylist An engineer, expecting her first baby, couldn't find the registry she wanted. So she built it. That's how Babylist started, and it's still how we work: engineers solving problems for families. Becoming a parent is one of the biggest moments in a person's life. Millions reach it for the first time every year, making thousands of decisions and figuring it out as they go. That's who we build for, and we're a long way from done. Ten million people give gifts through Babylist every year. We did more than $750M in revenue in 2025, up 45 percent over the year before, and we've been profitable for eight years while staying independent. So you can take on a hard, multi-year problem without watching over your shoulder for the next round or the next correction. And the team is small, around 65 engineers, so what you ship stays visible and your scope stays wide. How We Work Remote-first across the US and Canada, and we have been for years. That's not changing. We trust you to own your time and your outcomes, and we get everyone in a room together twice a year. Teams are small, pods of three to five engineers, so nothing you ship disappears into a committee. You'll work shoulder to shoulder with product, design and data, and with the partners across the business who rely on what you ship. You'll also stay close to customers yourself: sitting in on user interviews, watching session recordings, riding along with support. Here that's part of the engineering job, on a regular basis. How We Hire Three rounds, usually two to three weeks start to finish. Recruiter conversation (30 minutes). Trade context: what you want next, what we're building and straight answers on comp, team and remote. Technical screen (1 hour). One round, no AI, language-agnostic. Reach for Google when you normally would. We just want to see how you reason from first principles. Final round (4 hours). Four one-hour interviews: system design, AI-assisted coding with the tools you'd actually use here, product sense and culture and values. You'll hear back either way within 24 to 48 hours. If your timeline is tight, tell us and we'll move faster. Benefits Company-paid medical and fully covered dental and vision A 401(k) match Generous paid parental leave for birthing and non-birthing parents, plus a gradual return-to-work program Winter Wonder Week, a paid company-wide week off at the end of the year A remote-work stipend Mental-health and wellness support A Few Things To Know We record and transcribe interviews to evaluate candidates, in line with applicable privacy laws. We expect you to use AI in your work and we welcome it in the process, but what you submit and say should reflect your own thinking. If you have a family member or close relationship with a Babylist employee, let your recruiter know. Official outreach only ever comes from an @babylist.com address

Location: North America Workplace: Remote At Linear, we're building the product development system for teams and agents. AI is fundamentally changing how software gets built, and we’re shaping the tools this new era requires. Founded in 2019, Linear has become the platform of choice for more than 50,000 companies (including OpenAI, Coinbase, and Ramp) to plan, build, and ship their products. Today, our team is distributed across North America, Europe, and Australia, and we’re continuing to grow internationally. What unites us is relentless focus, fast execution, and a deep care for software craftsmanship. Over the past years, Linear has experienced incredible organic growth and has become an instrumental tool for many of the world’s best product teams. We believe customer support should always feel like an extension of that experience. As a Product Support Specialist at Linear, you’ll contribute to the future of our product by surfacing customer feedback and insights, contributing to our technical documentation, and engaging a technical customer community via social channels. Location & work mode Linear is a remote-first company, with optional co-working offices in San Francisco, New York, and London. This role is open to candidates based within U.S. and Canada Eastern or Central Time. You can work from anywhere within those time zones. We value deep focus and async collaboration, with intentional moments to connect in person through team off-sites, optional co-working, and occasional travel. What you’ll do - Support customers in end-to-end engagement, including onboarding, account setup, debugging issues, feature and integration discovery - Investigate and resolve inbound customer issues reported through all communication channels, including email, Slack, Twitter, and Reddit - Partner with our engineering team to document and reproduce bugs - Surface trends and insights from customer feedback to the team at large to inform product choices - Lead select strategic projects to improve the support experience, internal knowledge sharing, and product operations What we're looking for - Passion about technology, quality, and Linear’s mission - Excellent communication and customer service skills and experience working with a technical or engineering user base. Ability to adapt your communication approach to non-technical users. - Experience troubleshooting technical issues, including APIs and integration setups. Ability to reproduce bugs with Linear and our integrations in various environments (different browsers, Windows, Mac, Mobile). - Familiarity with SQL, Javascript, APIs, and GitHub is a plus. If you don’t have direct experience in these areas, curiosity to learn more is desirable as well. Please note that this is not a product engineering role. - Based in U.S. or Canada Eastern or Central Time only. What we offer We're a small, focused team that cares deeply about the quality of our work and the people we do it with. Here's what you can expect: - Competitive salary and equity - Employee-friendly equity terms including early exercise in the US and extended exercise windows - Daily meal and coffee stipend on every workday - Paid co-working space or desk - Health coverage (based on country requirements) - 5 weeks paid vacation, plus local statutory holidays - 4 months paid parental leave - Paid month off after 4 years & every 2 years thereafter - Regular team events and off-sites - Remote-first with no required commute Compensation For US-based candidates, the expected cash compensation range for this role is $95,000—$135,000. For sales roles, this range represents on-target earnings (OTE), including base salary and variable compensation; for all other roles, it represents base salary. Final compensation is determined based on job-related knowledge, skills, and experience. For sales roles, actual earnings vary based on sales performance. Equity is a meaningful part of all offers at Linear. Learn how we think and work - A story about our mission: Read Me https://linear.app/readme - Building our teams: Why and how we do work trials at Linear https://linear.app/blog/why-and-how-we-do-work-trials-at-linear - How we work: Designing remote work at Linear https://linear.app/now/designing-remote-work-at-linear - How Linear uses Linear: How our Customer Experience team works in Linear https://linear.app/now/cx-in-linear - A video series: Conversations on Quality https://linear.app/quality - Our recent tender offer: Sharing Linear’s growth with the people building it https://linear.app/now/sharing-growth-with-the-people-building-linear A note on recruitment fraud: all official Linear hiring communication comes from an @linear.app http://linear.app email address, and all open roles are listed at linear.app/careers http://linear.app/careers. We never ask candidates for payment or financial information. Suspicious messages can be reported to security@linear.app. Linear is an equal opportunity employer. We do not discriminate based on race, color, religion, gender identity or expression, sexual orientation, national origin, age, disability, veteran status, or any other protected characteristic under applicable law.