Вакансии

Location: London, England, United Kingdom We take play seriously. We’re looking for curious adventurers ready to find their party, fueled by imagination and drive to build what’s never been built before. At Hasbro and Wizards of the Coast, you’ll collaborate with passionate teams to reimagine our iconic brands and create experiences that spark joy, connection, and community through the magic of play. This is your chance to shape legendary play that lasts a lifetime. Help fans discover—and rediscover—the brands they love. Bring your curiosity, ideas and point of view to teams creating products, games and experiences enjoyed by fans around the world. One application. Many ways to play. Apply once to this general application for consideration for anticipated internship opportunities in London, UK (Capper St. & Stockley Park). This is not one specific vacancy. Projects are confirmed on a rolling basis, and one application puts you in consideration across multiple opportunities with participating teams and brands. You do not need to submit separate applications for each team or brand. If your profile aligns with a specific internship project, a recruiter may contact you directly with details and next steps. Applying does not guarantee an interview or placement. About Hasbro Hasbro creates joy and community through the magic of play. Across Hasbro, Wizards of the Coast and our partner network, teams bring iconic brands and new ideas to life through games, toys, entertainment and experiences. Teams and areas you may support Depending on confirmed projects and business needs, your internship could align to one or more areas such as: Account management and customer business planning Retail and e-commerce sales Sales operations and analytics Category and shelf strategy Trade planning and promotions Business development and new channels Examples of what you may work on Depending on your placement, you may: Analyze sell-in, sell-through, inventory and retail data to spot trends and opportunities. Support account plans, line reviews, sell-in presentations or promotional calendars for key customers. Build reports, dashboards or recaps that make sales performance and next steps clear. Research retailers, channels, competitors or shopper behaviour and summarize recommendations. Partner with Marketing, Brand, Finance, Supply Chain and customer teams to bring plans to market. Help improve a sales process, forecast or customer experience. What you bring You are currently enrolled in a university degree program in Business, Sales, Marketing, Economics, Analytics, Retail Management or a related degree program. Commercial curiosity and interest in how products reach retailers, partners and fans. Analytical thinking and comfort turning data into a clear recommendation. Clear communication, relationship-building and presentation skills. Familiarity with spreadsheets, presentation tools or customer relationship management systems is helpful. Work samples: No portfolio is required. Relevant analysis, case competitions, student organizations or coursework may be highlighted. Find your party: your global intern community Level up together. All interns join one global cohort connected through shared, structured onboarding and weekly learning and development. Own meaningful work tied to real business priorities, with mentorship and feedback Build career skills through brand immersion and conversations with leaders Connect with peers through networking and social experiences Volunteer and give back alongside the intern community Who can apply You are currently enrolled in an accredited university degree program and will remain enrolled for at least one academic term after completing the internship. Undergraduate and graduate students are welcome to apply. We generally prioritize students entering the final year of their degree after the internship. Students at other eligible stages, including those with approximately two academic years remaining, are also encouraged to apply. Eligibility is based on program stage, not age. You can commit to the full program schedule and work model for the assigned location. You meet the work-authorization requirements stated below. Listed majors are examples. Related programs, coursework and transferable projects are welcome; previous internship experience is not required. If this work excites you but you do not match every preferred skill, we still encourage you to apply. We value potential, curiosity, willingness to learn and different paths to the same capability. Program details Program dates and length: June - August (10–12 WEEKS) Schedule: Full-time, 37.5 hours per week Work model: Most internships follow a hybrid schedule with three days per week in the office. Select roles may require five days per week onsite. The project-specific schedule will be shared before interviews. Locations: Capper St. and Stockley Park Opportunities may support Hasbro or Wizards of the Coast teams, depending on confirmed projects and business needs. Application deadline: APPLICATIONS WILL BE REVIEWED ON A ROLLING BASIS from November to March, as needed. Pay and benefits This is a paid internship. Hourly rates vary by degree level and year in school. A separate good-faith range is provided for each worksite. Relocation: Assistance is available to candidates who meet the applicable distance and other eligibility criteria. What happens after you apply Our Early Careers team reviews applications as internship projects are confirmed. If your profile aligns with a project, a recruiter will contact you with the specific team, project, location, work model, dates and pay. Selected candidates will interview with the hiring team. Timing may vary by project, so please keep your contact information and availability current. If another function more closely matches your skills and interests, we may consider you for it with your permission. You do not need to submit a duplicate application. Work authorization Applicants must be legally authorized to work in the United Kingdom. The Company is unable to provide immigration sponsorship for this position. Hasbro European Services provides various services to Hasbro business units in Europe and the Middle East and Africa. Employees may be eligible for annual and long-term incentives as part of their overall compensation package, depending on role, location, and eligibility. Benefits and programs may include: Health & Wellness Time Off to Recharge Financial Well-being Life & Family Support Volunteer and Community Initiatives Learning & Development Exclusive Perks Please review our Applicant Privacy Notice to learn how we collect, use, and protect your personal information in connection with the application process.

Location: Toronto, Ontario Workplace: Hybrid Artificial Intelligence. Actual Impact. At Docebo, we’re using AI to change how people learn at work—and we mean actually change it. We’re an AI-powered learning platform that helps organizations create, deliver, and manage training all in one place. But our real mission goes deeper: we help teams move faster, work smarter, and focus on the work that truly matters. Our platform is built with intelligent, time-saving tools that personalize learning, eliminate busywork, and turn training from a checkbox into a superpower. The result? Better experiences for learners and real results for businesses. We’re shaping the future of learning with a team that isn’t afraid to challenge the status quo. If you're excited by the idea of using AI to make work-life better for real people–you’ll feel right at home here. And it’s not just what we build, it’s how we show up. At Docebo, our values aren’t just posters on the wall—they guide how we work every day. We call it the Docebo Heart: trust by default, assume positive intent, and create space for different perspectives to thrive. So… what are you waiting for? Join 900+ Docebians around the world and help us reinvent the way people learn, because learning never stops. THE ADVENTURE AHEAD As a Senior Product Engineer (full-stack with a back-end focus), you bring strong expertise in backend engineering alongside the ability and willingness to work across the full stack. You own features end to end, working across customer facing applications, services, APIs, and integration boundaries to deliver complete product outcomes. Your primary strength may be building cloud native backend services and event driven systems, or developing complex frontend experiences and application architecture. We do not expect equal specialization in every part of the stack. We value strong fundamentals, depth in your primary area, and the ability to contribute effectively across system boundaries. You work closely with Product, Design, QA, and other engineers to understand customer problems, make sound technical decisions, and take solutions from idea through production and iteration. THE DAY TO DAY - Own features end to end Take customer and product problems from discovery and technical design through implementation, production deployment, and iteration. - Build across the stack Work across frontend applications, APIs, backend services, and integration layers to deliver complete customer outcomes. - Bring technical depth Contribute strong expertise in your primary discipline while developing a broader understanding of the systems and technologies around it. - Make good technical decisions Participate in architecture discussions, evaluate tradeoffs, and shape solutions that are scalable, maintainable, and pragmatic. - Stay close to the product Partner with Product and Design to understand customer needs and translate them into effective technical solutions. - Drive engineering excellence Contribute to strong testing, CI/CD, observability, code quality, and technical debt practices. - Collaborate across functions Work with Engineering, Product, Design, QA, and platform teams to break down complex problems and deliver high quality software. - Grow the team Support other engineers through code reviews, pairing, technical discussions, and knowledge sharing. YOUR SUPERPOWERS - Engineering depth and breadth Four to six or more years of software engineering experience, with strong expertise in either backend or frontend engineering and practical experience across the broader stack. - End to end ownership Experience taking features from technical design through development, deployment, and production support. - Strong fundamentals A solid understanding of software design, APIs, application architecture, testing, and maintainable production software. - Cloud awareness Experience with cloud environments such as AWS and familiarity with modern CI/CD and observability practices. - Product mindset The ability to understand customer problems, navigate ambiguity, and balance technical quality with meaningful delivery. - Collaborative communication The ability to explain technical tradeoffs and work effectively across Engineering, Product, Design, and QA. BONUS POINTS - Cloud and event driven systems AWS serverless technologies, asynchronous workflows, distributed systems, or event driven architecture. - Infrastructure and delivery Infrastructure as Code using CDK, Terraform, CloudFormation, or similar tools, plus CI/CD or deployment experience. - Frontend architecture Large frontend applications, component architecture, state management, design systems, accessibility, or performance. - Backend breadth Node.js and TypeScript services or experience with Go, Python, PHP, or other backend technologies. - Production observability Monitoring, tracing, structured logging, metrics, and production diagnosis. OUR STACK Our product teams work primarily with TypeScript across frontend and backend development. Frontend applications include Angular and modern web technologies. Backend and platform systems span Node.js, TypeScript, Go, PHP, Python, AWS, REST APIs, event driven architectures, relational and NoSQL databases, CI/CD, and modern observability tooling. You do not need deep expertise in every technology we use. We are looking for engineers with depth in a primary discipline, strong software engineering fundamentals, and the ability to become effective quickly in unfamiliar systems. OUR HYBRID WORK PHILOSOPHY 🤝 Great work can happen anywhere but coming together helps us go further. Our team spends three days a week in the office (Tuesday-Thursday) to collaborate, solve problems, and learn from each other. With flexibility the rest of the week, it’s a balance designed to help everyone do their best work and keep growing. OUR TOTAL REWARDS PHILOSOPHY 🎉 Our Total Rewards Philosophy centers around three core areas to reward and care for our People: - Rewarding Impact: We lead with competitive pay to reward the impact, skills and traits that fuel our success. - Fostering Holistic Wellbeing: We care deeply about and invest in the whole person with programs that support our people’s physical, mental, and financial well-being. - Empowering Our Talent Culture: We build a culture of trust and empowerment by designing our rewards and benefits with transparency, equity, and flexibility, enabling our people to do their best work and stay for the long haul. OUR PROMISE TO YOU 😍 - Financial Wellness: Own a piece of Docebo through our Employee Share Purchase Plan (ESPP) at a 15% discount, plus a competitive compensation package. - Your Well-Being, Covered: You’ll get access to health benefits, so you can get the care you need when you need it. - Rest, Relax, Repeat: Rest and recharge with paid vacation days, two company-wide Docebo Days, floating holidays for cultural celebrations, and your birthday off! - Family First: We provide coverage offering you time with your little one(s) so you can soak up all those precious moments. Fun fact: we had 30 Docebian babies join the family in 2025! - Connections That Count: Connect with global communities through our Employee Resource Groups (including PRIDE, DWA, BIDOC, and Green Ambassadors) and company-wide events that keep the fun rolling all year long. ABOUT DOCEBO 💙 At Docebo, we create seamless, AI-powered learning experiences for over 3,000 customers worldwide. We have successfully achieved two IPOs (TSX: DCBO & NASDAQ: DCBO https://www.docebo.inc/home/default.aspx), been recognized as a top SaaS e-learning solution, and are growing exponentially in the process. We're a global company, with office across North America, EMEA, APAC, and beyond. Our team is guided by five core values—Grow Together Win Together, Build with Our Customer, Clear is Kind, Own Outcomes, Progress Over Perfection—that shape everything we do. If this resonates with you, now is the perfect time to join one of the fastest-growing learning technology companies in the world. Docebo is an Equal Employment Opportunity employer https://www.eeoc.gov/sites/default/files/2022-10/EEOC_KnowYourRights_screen_reader_10_20.pdf. We are committed to diversity and inclusion in our workforce. All qualified applicants and employees will receive consideration for employment regardless of their race, colour, religion, sex (including pregnancy, gender identity, and sexual orientation), national origin, citizenship status, age, disability, genetic information, or any other category protected under applicable law. As a federal contractor, Docebo is committed to the principles of affirmative action and equal employment opportunity for protected veterans and individuals with disabilities. Docebo does not discriminate because of protected veteran status or on the basis of disability, and Docebo takes affirmative action to employ and advance in employment qualified protected veterans and individuals with disabilities. Any individuals requiring a reasonable accommodation or would like to voluntarily disclose a disability or protected veteran status to assist with their employment application should send an e-mail to their recruiter directly.

• Проводить технические воркшопы и помогать enterprise-клиентам внедрять платформу; • Создавать proof of concept и поддерживать техническую часть продаж;

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.

Location: London, UK Workplace: Hybrid Sensor Tower’s digital intelligence platform provides unparalleled insight into market trends, advertising, competitor’s strategies, and consumer/user audience across mobile, web, and gaming. Sensor Tower’s insights are trusted by more than 2,500 enterprises worldwide across tech, retail/commerce, entertainment/media, gaming, consumer packaged goods and finance. About this role:   Sensor Tower is the leading provider of market intelligence and insights for the mobile app ecosystem. Our data-driven solutions empower businesses, developers, and marketers to make informed decisions and stay ahead in the competitive mobile landscape.   We are looking for a skilled Business Technology Support Engineer to join our team to manage the day to day information technology tools and facilities for our amazing global staff.    You are a service oriented, self starting, problem solver that thrives working in a modern SaaS company.    What You Will Focus On - Develop and interpret organizational goals, policies, and procedures related to Corporate IT, info security and SOC II compliance. - Review new vendors and work on process improvements. - Purchase and coordinate delivery of IT equipment & maintain asset inventory. - Maintain SaaS applications and licensing. - Collaborate and communicate with technical leaders to ensure systems operate within security controls. - Review project plans to plan and coordinate project activity. - Train users on IT systems and provide technical support when issues arise. - Assist with employee provisioning and deprovision.   Skills We Are Interested In - Operating system knowledge (Mac and Windows). - Proficiency in scripting languages. - Strong organizational and coordination abilities with close attention to detail. - Experience with GSuite, cloud automation, MDM and other SaaS tools. - Proficiency with installation/configuration of software and hardware (including network equipment and printers). - Excellent communication skills for communicating with the business technology team, employees and other departments.   If you are ready to take the next step in your career at Sensor Tower, we’d love to hear from you! Fraud warning: It's common for scammers to create positions that look legitimate on other sites. To ensure your submission is considered, only apply for positions at Sensor Tower through our company website or through posts directly associated with Sensor Tower company profiles on sites such as LinkedIn, Indeed, BuiltIn or Hackajob. At no point will Sensor Tower ever ask for money, credit card, or bank account information to complete a job application. Communications received from Sensor Tower are only sent by e-mail addresses ending in sensortower.com http://sensortower.com. All Sensor Tower interviews will be conducted via phone or Zoom. At no time will a conversation be moved to an alternative email outside of sensortower.com http://sensortower.com or text. Should an issue arise that you feel we should be aware of, please contact us. Please provide your resume when applying. To all recruitment agencies: Sensor Tower does not accept third party resumes. Please do not send resumes to our jobs alias, Sensor Tower employees or any other organization location. Sensor Tower is not responsible for any fees related to unsolicited resumes. Sensor Tower will not pay any third-party agency or company that does not have a signed agreement with Sensor Tower. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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: Islamabad Capital Territory, Pakistan Junior Tax Analyst Finance · [Full-time] · In-Person (Islamabad, PK) · Hours 6pm - 2am PKT About Nysonian Nysonian builds the next generation of global lifestyle brands, shaping how people travel, move, and live. We go beyond creating great products to build experiences that elevate everyday life and empower people around the world. Our Fast-Growing Portfolio Includes: NOBL Travel — redefining modern travel with design, durability, and performance FLO Pilates — bringing Pilates into homes and wardrobes globally Core Values: Winners’ Mindset | Speed with Purpose | Thoughtful Innovation | Genuineness | No Ego, Full Ownership The Opportunity We are looking for a detail-oriented Tax Analyst to support our global tax compliance and reporting activities, with a primary focus on U.S. sales tax and exposure to international indirect tax and payroll tax requirements. This role will be responsible for assisting with multi-state tax filings, registrations, reconciliations, tax account maintenance, and regulatory correspondence. The ideal candidate will have a solid understanding of tax compliance processes, strong analytical and organizational skills, and the ability to manage multiple filing deadlines across different jurisdictions. Working closely with Finance and Accounting teams, the Tax Analyst will help ensure accurate tax reporting, timely filings, proper documentation, and compliance with applicable tax regulations across our global operations. What You'll Own Preparing data for U.S. sales tax returns across multiple states. Supporting sales tax registrations and maintaining tax accounts with different state authorities. Assisting with GST/HST, PST, QST, VAT and other international indirect tax compliance. Supporting payroll tax compliance, including withholding tax, unemployment tax and other state payroll taxes. Reviewing tax portals and maintaining records of returns, payments, deadlines and account balances. Assisting with the preparation of responses to tax notices, penalties and correspondence from tax authorities. Downloading, organizing and reviewing reports from tax authorities and tax compliance platforms. Working with accounting and tax systems such as Xero, Excel and Avalara. Reviewing sales information from platforms such as Shopify and other e-commerce channels for tax purposes. Maintaining tax trackers, filing calendars and supporting documentation. Performing basic tax research when required. Following up internally for documents and information needed for tax filings. Skills & Qualifications ACCA/CA students, finalists, or qualified candidates preferred; Bachelor's degree holders in Accounting, Finance, Commerce, or a related discipline are also encouraged to apply. Fresh graduates are welcome, provided they have strong accounting fundamentals and an interest in taxation. Basic understanding of accounting principles, taxation, and financial reporting. Strong Microsoft Excel skills, including Pivot Tables, XLOOKUP/VLOOKUP, and SUMIFS. Strong analytical, problem-solving, and numerical reasoning abilities, with excellent attention to detail. Good written and verbal communication skills in English, along with strong organizational and time-management abilities. Willingness to learn and develop expertise in U.S. sales tax, payroll tax, Canadian GST/HST, provincial sales taxes, and international VAT/GST compliance. Familiarity with accounting and tax platforms such as Avalara, Xero, QuickBooks, Shopify, or tax authority portals will be an added advantage; prior experience in accounting, taxation, audit, or finance is preferred but not mandatory. Why You'll Love Working at Nysonian Culture We're founder-led and operate with speed, direct communication, and clear accountability We invest in tools and management practices that help colleagues do their best work Our products are used by customers globally AI is intentionally embedded in how we work, create, and scale Senior leaders are expected to create structure, make decisions, and stay close to execution Growth & Development Competitive pay and meaningful opportunities for performance-based advancement Ownership of strategy, systems, execution, and team buildout within your function Opportunity to build and scale a meaningful part of the business across two consumer brands Scope and compensation growth tied to performance, role expansion, and measurable business impact We are proud to be an equal opportunity employer. All qualified applicants will receive consideration without regard to race, color, sex, religion, gender, marital status, national origin, genetics, disability, age, veteran status or other characteristics.

Location: Remote - US Who we are At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences. Our dedication to remote-first work , and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands. . Hiring and how we work We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions! Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings. . See yourself at Twilio Join the team as Twilio’s next Software Engineer, (L3) Email About the job This position is a critical engineering role within Twilio SendGrid, requiring a hands-on engineer capable of developing, deploying, and managing highly available, massive-scale distributed systems. Our systems regularly process more than 12 billion emails during peak events like Black Friday, and our throughput requirements continue to scale rapidly. As an L3 engineer, you will act as a key driver of execution within our core services. You will be heavily involved in modernizing our backend systems, optimizing our extensive Go-based microservices, and contributing to the design and reliability of our dual-cloud infrastructure span across Amazon Web Services (AWS) and Microsoft Azure. Responsibilities In this role, you’ll: WEAR THE CUSTOMER’S SHOES: Architect and ship reliable, high-velocity features that handle critical traffic with low end-to-end latency. Partner closely with product management and technical leadership to break down complex system requirements into manageable, iterative milestones. BE AN OWNER (CODE QUALITY): Drive rigorous code reviews and push for maintainable patterns in our Go codebase, ensuring high testing standards (unit, integration, and component testing) are executed across the team. BE AN OWNER (INFRASTRUCTURE & OBSERVABILITY): Manage and enhance cloud configurations across AWS and Azure environments utilizing Infrastructure as Code (Terraform). Ensure deep observability coverage by standardizing metrics, alerts, and distributed tracing across core data pipelines. CHAMPION ENGINEERING HEALTH: Advocate for a clean architectural foundation. Proactively identify technical debt, system bottlenecks, and single points of failure (SPOF), balancing feature delivery with critical platform refactoring. MENTOR AND LEAD: Foster a collaborative environment by mentoring junior engineers, leading technical sprint planning, and sharing expertise across distributed engineering nodes. Qualifications Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table! Required: Experience: 4+ years of professional software engineering experience building and operating resilient backend services at scale. Modern Development Workflow: Practical experience leveraging AI-assisted development tools (such as Claude Code) to accelerate code generation, automate testing, and streamline debugging workflows. Language Proficiency: Strong, hands-on production experience writing clean, idiomatic, and highly concurrent Go (Golang), Java or Python . Cloud Infrastructure: Solid experience deploying and managing production workloads in cloud environments—ideally with deep exposure to AWS core services (such as EC2, S3, Aurora, or DynamoDB) AND Microsoft Azure equivalents (such as Virtual Machines, Blob Storage, Azure SQL, or Cosmos DB). Infrastructure as Code: Proficiency with Terraform for provision-level automation and maintaining environment parity. Distributed Systems: Strong theoretical and practical understanding of distributed datastores, caching layers, and asynchronous event streaming (e.g., Kafka or similar queuing ecosystems). Systems Mindset: Strong foundational background in computer science fundamentals, data structures, and building self-healing cloud architectures. Desired: Prior experience managing high-throughput applications running inside containerized infrastructure ( Docker, Kubernetes ). Familiarity with database migration pathways (e.g., transitioning traditional on-prem/relational datastores to managed instances like AWS Aurora ). Experience implementing OpenTelemetry or distributed tracing systems across decoupled microservice platforms. Direct experience handling constraints related to network topology, proxy layers, or mail transfer agent (MTA) protocols. Location This role will be remote, but is not eligible to be hired in CA, CT, NJ, NY, PA, WA. Travel We prioritize connection and opportunities to build relationships with our customers and each other. For this role, you may be required to travel occasionally to participate in project or team in-person meetings. What We Offer Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location. Compensation *Please note the salary range information provided applies only to candidates residing in California, Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, New Jersey, New York, Vermont, Washington D.C., and Washington State due to local requirements. Compensation for candidates in other locations will be discussed during the hiring process. Please note that hiring for this role is not restricted to the locations listed above. The estimated pay ranges for this role are as follows: Based in Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, Vermont or Washington D.C. : $138,700 - $173,400 Based in New York, New Jersey, Washington State, or California (outside of the San Francisco Bay area): $146,800 - $183,600 Based in the San Francisco Bay area, California: $163,100 - $203,900. This role may be eligible to participate in Twilio’s equity plan and corporate bonus plan. All roles are generally eligible for the following benefits: health care insurance, 401(k) retirement account, paid sick time, paid personal time off, paid parental leave. The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location. Applications for this role are intended to be accepted until 12/31/2026, but may change based on business needs. Twilio thinks big. Do you? We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values — something we call Twilio Magic . Additionally, we empower employees to build positive change in their communities by supporting their volunteering and donation efforts. So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now! If this role isn't what you're looking for, please consider other open positions. . Stay alert to recruitment fraud We care about your safety. Scammers sometimes impersonate Twilio recruiters through fake job postings, emails, websites, or messages. Please ensure you are engaging with an official @ twilio.com email address. We will never ask for payment, gift cards, cryptocurrency, or banking information during the recruiting process. We do not make job offers without a formal interview process or conduct interviews exclusively through text-based messaging apps. . Twilio is proud to be an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Additionally, Twilio participates in the E-Verify program in certain locations, as required by law.

Location: Boston, MA Workplace: OnSite At WHOOP, we’re on a mission to unlock and inspire performance for life. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives. WHOOP is seeking a Senior Sensor Intelligence Engineer to help develop, validate, and scale the sensor algorithms and tools that transform noisy physiological signals into meaningful member insights. As part of a cross-functional team spanning Sensor Intelligence, Hardware, ML Research, WHOOP Labs, Firmware, Apparel & Accessories, and other engineering disciplines, you will develop robust algorithm verification and validation methodologies, evaluate sensor and algorithm performance against appropriate reference data, build diagnostic and analysis tools, characterize failure modes, and help determine algorithm readiness for real-world deployment across our diverse member population. RESPONSIBILITIES: - Develop end-to-end verification and validation methodologies for sensor algorithms and biosensor systems, including test design, reference-data comparison, performance metrics, acceptance criteria, and readiness assessment across large-scale datasets - Partner with Data Science, WHOOP Labs, Research, Firmware, and other engineering teams to design representative data collections, evaluate algorithm performance against reference measurements, characterize failure modes, and determine readiness for real-world deployment - Apply signal processing, statistical analysis, and machine learning techniques to physiological time-series data to identify performance opportunities, investigate algorithm failures, and improve sensor-derived insights - Build and maintain scalable workflows, dashboards, and diagnostic tools for algorithm validation, regression testing, performance monitoring, data quality assessment, and sensor behavior across diverse populations and use cases - Contribute to software development, debugging, testing, and validation processes, ensuring analytical tools, algorithms, and results meet production-quality standards - Communicate findings through clear technical documentation, reports, and visualizations that enable cross-functional teams to make informed product and engineering decisions QUALIFICATIONS: - Bachelor’s or Master’s degree in electrical engineering, biomedical engineering, applied mathematics, statistics, computer science, or a related quantitative field, or equivalent practical experience - 5+ years of industry or research experience working with signal processing, machine learning, statistical analysis, algorithm validation, or related quantitative methods - Experience analyzing time-series data and applying core signal processing techniques such as filtering, spectral analysis, peak detection, and windowing - Demonstrated experience independently designing and driving validations studies, including one or more of test methodology development, reference-data comparison, performance evaluation, acceptance-criteria definition, or failure-mode investigation. - Proven track record of investigating intricate or ill-defined technical challenges, pinpointing root causes, and delivering solutions across algorithm, sensor, data, and system domains - Proficiency in Python and/or C, with experience developing reliable tools or software for data processing, analysis, or algorithm validation - Strong foundation in statistical inference and experimental analysis, including the ability to select appropriate methods, interpret results, and communicate analytical trade-offs - Experience working with large datasets and modern engineering or data infrastructure such as Git, CI/CD systems, cloud platforms, or data warehouses - Strong written and verbal communication skills, with the ability to translate complex technical findings into concise documentation, visualizations, and actionable recommendations - 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. 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 to determine employment eligibility. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Location: Riyadh, KSA Workplace: onsite As a Merchant Onboarding Executive, you will play a key role in onboarding SME merchants across dynamic markets. You will own the end-to-end merchant onboarding journey, ensuring merchants are successfully activated, technically integrated, and fully configured before going live. You will work closely with merchants and internal stakeholders — including Business Development, Risk, Legal, and Product teams — to resolve onboarding blockers, improve conversion rates, and deliver excellent merchant experience. Your focus will be on operational excellence, merchant success, and driving sustainable business growth Key Responsibilities Merchant Onboarding & Activation Own the full merchant onboarding lifecycle from application to activation. Activate merchants and oversee backend integration processes. Ensure merchants are properly configured with the correct access, settings, and dashboards prior to activation. Guide merchants through Tabby's onboarding process and provide support throughout their journey. Merchant Support & Case Management Resolve stalled, escalated, or time-sensitive onboarding cases. Handle daily drop-off applications by: Identifying merchants who stopped during the legal stage. Following up via phone and email. Assisting merchants in completing and submitting required documentation. Manage daily reset applications by: Working with the Risk team to identify document issues. Communicating required corrections to merchants. Following up until successful resubmission. Address merchant concerns, inactivity, and churn to improve onboarding conversion. Cross-functional Collaboration Coordinate with Risk, Legal, Business Development, Product, and other internal teams to remove onboarding blockers. Collaborate with Business Development to improve lead handoff and onboarding workflows. Support internal teams in accelerating merchant activation. Technical & Operational Support Investigate integration issues, including backend and technical errors. Work cross-functionally to implement effective solutions. Support merchants with e-commerce integrations where required. CRM & Performance Management Maintain accurate CRM records and ensure CRM hygiene. Track merchant progress throughout the onboarding funnel. Monitor and report against daily, weekly, and monthly KPIs. Ensure adherence to SLAs and NPS targets. Process Improvement Evaluate pre- and post-website onboarding activities. Monitor merchant transactions and ensure Tabby's online presence aligns with brand guidelines. Contribute to process improvements that increase: Onboarding efficiency Data integrity Reporting automation Cross-functional collaboration Pipeline conversion Skills, Knowledge and Expertise Requirements Good spoken and written English and Arabic Bachelor’s degree, or equivalent experience 1–2 years in a customer-facing role (onboarding, customer success, account management, sales or merchant support) Comfortable making a high volume of calls every day and following up without being chased Basic Excel / Google Sheets Preferred Experience with a CRM (Zoho, HubSpot, SAP or similar) Experience in fintech, payments, BNPL or e-commerce Familiar with Saudi business documents (CR, VAT certificate, IBAN letter, national address) Familiar with e-commerce platforms like Salla, Zid, or Shopify Experience working against KPIs and SLAs

Location: Poland; Spain; Portugal Workplace: remote About airSlate airSlate is a global SaaS technology company that develops no-code workflow automation, electronic signature, and document management solutions. Our award-winning products - SignNow, pdfFiller, DocHub, altaFlow, Instapage, and US Legal Forms - serve over hundreds of millions of  users and more than one million customers worldwide, helping organizations of every size digitize processes, improve efficiency, and transform how they work.   We’re in an exciting phase of growth and transformation, with teammates in more than 20 countries across three continents and main hubs in the United States, Poland, Romania, Ukraine and Philippines.  At airSlate, we’re building value for customers and a culture where growth and innovation go hand in hand. We’re looking for people eager to shape products, scale a company, and thrive in a fast-moving environment. About Strategy Department: The airSlate Strategy department leads monetization and product-led growth strategies and analytics across airSlate’s product suite. This includes owning the pricing strategy, the product-qualified leads upsell strategy, and key strategic monetization and go-to-market initiatives. The department also aims to provide product, marketing, and executive teams with useful insights, segmentation, user behavior, and North Star metrics to improve the performance and effectiveness of teams across the company. And now, we are looking for a Corporate Strategy & BizOps Manager  who is prepared to contribute to the next chapter of our company’s growth. The person will join the Strategy team and take on the responsibility of assessing new opportunities across the airSlate product portfolio and owning the business case that leadership approves before a bet gets a team or a budget. As Corporate Strategy & BizOps Manager, you will be in the room when bets are made, and you will run funded cross-portfolio initiatives from plan to result. What you’ll be working on: Size and assess new opportunities: build TAM/SAM/SOM bottom-up from users, pricing, and conversion, map the competition, and define the ICP sharply enough for product and marketing to act on Own the business case that gates funding: write it, present it, and back it with a clear recommendation, the two or three assumptions it rests on, and what would change your mind Stress-test business cases from product teams, including our own: challenge revenue, cost, and adoption assumptions, separate baseline from incremental impact, and flag where the numbers do not reconcile Run one or two initiatives end to end, from the go-to-market plan and first budget to stakeholder alignment and results, starting with localization across our products Partner with product, growth, finance, and AI Labs leads across several business units, often relying on input from people who do not report to you What we expect from you: 5+ years of experience in strategy consulting, corporate strategy, or BizOps / strategy at a SaaS company Modelling skills: you build clean, auditable models and can explain every driver in them A track record of sizing markets and building business cases that were used to make real decisions (ideally, some were decided against because of your work) Comfort with ambiguity: you can turn a vague question (“is there a business in X?”) into a plan and deliver an answer within days, not weeks Clear, concise writing: you fit a recommendation, its rationale, and its risks on one page The confidence to disagree with senior people, with evidence, and the judgment to know which disagreements matter Experience owning something end to end, not only advising on it, with your own part in it clearly defined A Bachelor’s degree Professional working proficiency in English, for written analysis and presentations to executives What helps you rock: Knowledge of PLG / self-serve SaaS economics: funnels, conversion, LTV/CAC Experience in the document, e-signature, or workflow-automation space Hands-on use of AI tools in your own analysis work Experience taking a product into new markets and languages A post-MBA background What we offer   Flexible working environment - Our teams operate across the globe. We value in‑person collaboration in our hubs, but we also embrace remote and hybrid working. You can work from one of our offices in the United States, Poland, Romania or Ukraine, or remotely from many countries.   Competitive compensation and stock options - We offer salaries that reflect local market conditions and experience,  plus a performance-based bonus system and stock options so you share in the company’s growth.   Professional growth and learning - We invest in your development through courses, conferences, and access to learning resources. We encourage career growth and internal mobility, supporting teammates who want to explore new opportunities within airSlate.   Health and well‑being - We provide comprehensive benefits tailored to each country, including health coverage, wellness programmes and access to fitness options. We also dedicate quarterly company-wide Mental Health Days, when everyone takes time off to rest and recharge.   Family‑friendly culture - Family life is part of who we are, and we embrace it in many forms. From flexibility for parents to our airSlate Junior Club for kids, to company-wide family days and our pet-friendly approach, we’re committed to making work and life easier to balance.   Giving back - We support charitable initiatives around the world through the airSlate Care programme. Our current focus includes humanitarian aid in Ukraine and other regions, matching employee donations and supporting causes chosen by our teams.   Open communication - We encourage transparent dialogue at all levels. From team discussions to company-wide Q&A sessions with our CEO, we make sure everyone has the chance to be heard and to influence how we grow.   It is airSlate's policy to comply with all applicable equal employment opportunity laws by making all employment decisions without unlawful regard or consideration of any individual’s race, religion, ethnicity, color, sex, sexual orientation, gender identity or expressions, transgender status, sexual and other reproductive health decisions, marital status, age, national origin, genetic information, ancestry, citizenship, physical or mental disability, veteran or family status or any other basis protected by applicable national, federal, state, provincial or local law. airSlate's policy prohibits unlawful discrimination based on any of these impermissible bases, as well as any bases or grounds protected by applicable law in each jurisdiction. If you need assistance or an accommodation during the application process because of a disability, it is available upon request. airSlate is pleased to provide such assistance and no applicant will be penalized as a result of such a request. Pursuant to relevant law, where applicable, airSlate will consider for employment qualified applicants with arrest and conviction records.   Read our Recruitment Privacy Notice to Learn how we process your personal information.

Location: Canada What the Role Is We’re hiring a Staff Software Engineer who’ll be the technical lead for a new Search team at Babylist. This new team will be focused on moving Babylist’s search capability in-house, making our search results more relevant and personalized, and partnering with other teams to transform search in the product from functional to delightful. 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 search and personalization problems in consumer e-commerce. This is zero-to-one work, with big ambitions. You’d build a search capability from the ground up, with a clear mandate from leadership to do it. In your first year, we expect to have rebuilt search to be highly relevant and personalized, and delivered big bets like universal search: one experience across items we sell and items from other retailers, and across products, guides and registries. We also want to work with Addie, our AI registry assistant, to have LLMs play a role in the search experience. If you want to tune an established search system, this isn’t the right role. If you’ve worked inside a strong search team and want to build a new system from scratch at a company earlier in that journey, read on. What You'll Own A Staff Engineer at Babylist sets direction. You’ll be the technical lead for search: you decide where it goes over the next year or two, sequence the bets that get there, and make the technical and product calls along the way. You’re still in the code and will drive initiatives forward across multiple teams. You’ll have software engineering and machine learning engineering support on the team. A few examples of initiatives you’d drive on the Search team: Build search in-house. Choose the architecture for indexing, retrieval and serving, and plan a seamless migration. The system you design replaces what we use today and is the foundation for everything below. Define what a good result is. Decide how we measure result quality, then improve it through query understanding, ranking and the behavioral signals we collect. Unify search across everything we show. One experience across items we sell and items from other retailers, and across products, guides and registries, including how to rank items we don’t sell next to ones we do. Decide how search and recommendations fit together. Bring what we know about a user and their registry into results, and decide how much retrieval and ranking search shares with our recommendation models. Make search conversational. Work with the Addie team, our AI registry assistant, on queries like “best stroller for urban family,” where the shopper describes a need instead of naming a product. Like every Staff Engineer here, you will: Take a fuzzy business problem from the first sketch through to production, and stay on the hook for whether it actually helped customers. Build the platform or tooling other teams adopt by choice, and own it as it scales. Set the standard for how search builds with AI. Decide what good looks like, build the patterns and evals that get agents there and catch the output that's confidently wrong before it ships. Partner with product, design and data as a peer, shaping what's worth building from the start. Coach Senior engineers through the hard calls, the ambiguous ones as much as the technical ones Who You Are You meet the Staff bar at Babylist. You’ve shipped production systems for enough years to have earned strong opinions, and you hold them loosely. You can pick up an ambiguous problem and start moving before anyone hands you the full picture. You’ve already changed how a team builds with AI, and the new way stuck. On top of that, you’ve worked on search problems before, ideally in an e-commerce setting. This role needs depth in the systems behind search and a clear focus on the people using it. You bring: Hands-on search experience: building and running search in production, including indexing, retrieval, ranking and query understanding. You know how to keep a search service fast, relevant and reliable as traffic and catalog size grow. Experience evaluating search quality: offline and online, including relevance judgments and A/B tests. A focus on the user: you use query data, behavior and judgment about result quality to decide what to build, and you can connect a search change to what shoppers do, and to conversion or revenue. Comfort building from zero: you can define the problem, design the system and own it end to end. You measure yourself by impact: a customer outcome, or a system a dozen teams come to depend on. 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 an RRSP 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. 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: Remote What you’ll be part of Garner is on a mission to transform the U.S. healthcare system — and we’re the only proven player doing exactly that. We partner with employers to redesign how healthcare works: applying 550+ proprietary clinical metrics across 80+ specialties to a dataset of 320M+ patients to identify the best-performing doctors, then using compelling incentives to steer members to the care that helps them get healthier, faster. The result is a rare “win win” — better care and lower costs for both members and employers. In just five years, our work has helped over 2.5 million people access higher-quality care and saved $1B in healthcare costs. We recently raised our Series E and have doubled five years running. If you've ever wanted your work to solve a problem that touches every person in this country, this is the opportunity to do exactly that. You'd be joining a team fundamentally reimagining healthcare in the U.S. — and using AI to scale that impact further and faster than anyone else can. About the role: We are seeking a Senior Security Engineer to serve as a technical anchor for our security function. This role is critical for leading technical design reviews and ensuring our security posture scales alongside our rapid customer growth. You will be responsible for defining the security standards that protect sensitive healthcare data, ensuring our systems are resilient against evolving threats while maintaining high engineering velocity. Where you will work: Garner is headquartered in NYC, but this position is available for individuals who are comfortable with remote work and occasional travel to HQ. What you will do: Lead technical security design: Own the technical design and review process for security-critical systems, ensuring all new features meet Garner's high standards for data protection and resilience Master complex domains: Maintain and apply a mastery of one or more technical security domains (e.g., Cloud Security, AppSec, or Data) to solve the most complex business and technical challenges Course-correct technical direction: Identify when technical paths are inefficient or insufficient and proactively redirect efforts to capture higher ROI for the firm Architect automated defenses: Create and implement advanced tools and automation that increase the efficacy of security monitoring and incident response Translate ambiguity into execution: Take broad, complex security objectives and break them down into well-defined deliverables and architectural requirements for the broader engineering team Mentor through technical rigor: Raise the bar for the engineering function by providing high-level feedback during code and design reviews, fostering a culture of security-first development The ideal candidate has: Exceptional Technical Judgment: Proven ability to make high-stakes technical decisions that result in positive long-term outcomes for the company's security posture Strategic Problem-Solving: Effectively leverages context and data to analyze root causes and prioritize security initiatives that offer the greatest impact on risk reduction Influential Stakeholder Management: Builds strong relationships across the organization, conveying complex security risks in a clear and compelling manner to both technical and non-technical partners Drive for Innovation: Continuously identifies and implements creative solutions to pay down technical debt and improve the efficiency of our security infrastructure Reliability Under Pressure: Handles complex escalations and security incidents with discipline, ensuring rigorous analysis and comprehensive resolution without jumping to conclusions A desire to be a part of a high-performing, mission-driven team that operates with intense urgency, a strong sense of individual accountability, and a commitment to authentic feedback Technologies we use: Python, Kubernetes, Snowflake, AWS, Terraform, Wiz, Cyberhaven, and more This is a unique opportunity to join a fast-growing company in a transformative role, helping shape the future of healthcare. Compensation Transparency: The target salary range for this position is $209,000 - $243,000. Individual compensation for this role will depend on various factors, including qualifications, skills, and applicable laws. In addition to base compensation, this role is eligible to participate in our equity incentive and competitive benefits plans, including but not limited to: flexible PTO, Medical/Dental/Vision plan options, 401(k), Teladoc Health and more. Fraud and Security Notice: Please be aware of recent job scam attempts. Our recruiters use getgarner.com and garnerhealth.com email domains exclusively. If you have been contacted by someone claiming to be a Garner recruiter or a hiring manager from a different domain about a potential job, please report it to law enforcement here and to candidateprotection@garnerhealth.com . Equal Employment Opportunity: Garner Health is proud to be an Equal Employment Opportunity employer and values diversity in the workplace. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. Garner Health is committed to providing accommodations for qualified individuals with disabilities in our recruiting process. If you need assistance or an accommodation due to a disability, you may contact us at talent@garnerhealth.com .

Location: Dakar, Senegal Workplace: Hybrid ⭐️ LA SANTÉ N'ATTEND PAS. Que les symptômes s’aggravent. Qu'il faille 6 mois avant d’obtenir un rendez-vous. Qu'on dépende d’un système de santé englué dans le papier et les processus manuels. Et pourtant, c’est ainsi que fonctionne aujourd’hui la santé en Afrique de l’Ouest. Vous attendez, jusqu’à ne plus pouvoir attendre. Nous existons pour mettre fin à cette attente. Née en 2022 au Sénégal, Tanel est la première assurance santé numérique d’Afrique de l’Ouest francophone. Elle opère au Sénégal et en Côte d’Ivoire. Nous transformons un marché dominé par les processus papier et des acteurs historiques fragmentés. Avec plus de 30 000 membres, un réseau de plus de 1 200 établissements de santé et de plus de 400 pharmacies, ainsi qu’un chiffre d'affaires multiplié par 7 en 2025, nous avons démontré une véritable adéquation entre notre produit et les besoins du marché, dans des pays qui avaient besoin d’une révolution. En 2026, Alan, le leader européen de l’assurance santé axée sur la prévention, avec plus de 950 M€ de CA et + 1 M de membres en France, en Belgique, en Espagne et au Canada, a acquis Tanel afin d’accélérer son expansion sur le continent africain. Ensemble, nous construisons l’assurance santé de référence en Afrique de l’Ouest francophone, avec l’ambition d’atteindre 200 M$ de CA d’ici 2030. Nous réunissons le meilleur des deux mondes : l’expertise de terrain de Tanel, ses relations locales et la confiance qu’elle a su bâtir, ainsi que la plateforme technologique de pointe d’Alan, son expertise actuarielle et son expérience du déploiement dans plusieurs pays. VOTRE MISSION EN TANT QUE CARE EXPERT En tant que Care Expert chez Alan Sénégal, vous jouerez un rôle essentiel dans la satisfaction et la fidélisation de nos membres. Vous serez leur premier point de contact et les accompagnerez. Votre temps sera réparti de la manière suivante : - 80 % consacrés à l’accompagnement des assurés - 20 % consacrés à des projets d’amélioration continue, en fonction de votre expertise et de vos centres d’intérêt. L’accompagnement des assurés consiste à : - Écouter, comprendre les problèmes et les demandes des assurés et y apporter des réponses claires et rapides ; - Accompagner nos assurés (par téléphone, chat, email) et gérer les demandes complémentaires lorsque cela est nécessaire ; - Accompagner les assurés dans leurs démarches liées à leur couverture santé ; - Gérer les réclamations avec empathie, calme et professionnalisme et assurer un suivi rigoureux des demandes jusqu’à leur résolution ; - Collaborer avec les équipes médicales, techniques et commerciales pour résoudre les situations complexes ; Les projets d’amélioration continue: - Identifier et mettre en œuvre des améliorations dans nos processus ; - Analyser les demandes clients pour identifier et corriger les principaux points de friction dans notre produit ; - Contribuer à l’amélioration de nos outils et de notre base de connaissances ; - Participer à la conception d’initiatives favorisant l’autonomie des assurés ; - Partager vos connaissances et accompagner vos collègues ; - Participer à la structuration et au développement de l’équipe Care Vos projets seront construits autour de vos compétences, de vos idées et des besoins de Alan. PROFIL RECHERCHÉ Nous recherchons une personne qui : - Dispose d’au moins un an d’expérience en service client, relation client, assistance ou centre de contact - Est parfaitement à l’aise à l’oral et sait créer rapidement une relation de confiance avec ses interlocuteurs - Maîtrise le français, à l’oral comme à l’écrit - Parle couramment wolof. Cette compétence est particulièrement importante pour ce poste - Parle et écrit l’anglais (B2 et mieux) - Est à l’aise avec les outils numériques et les logiciels CRM, tels que HubSpot, Airtable ou des outils équivalents - Sait analyser une situation, prioriser les demandes et trouver des solutions adaptées - Est capable de travailler efficacement dans un environnement dynamique et en constante évolution. Une expérience dans le secteur de la santé, de l’assurance ou de l’assistance est un plus, mais elle n’est pas indispensable. Nous vous formerons à notre activité et à notre environnement. QUALITÉS HUMAINES Vous êtes reconnu(e) pour : - Votre empathie et votre écoute active ; - Votre patience et votre calme, y compris dans les situations difficiles ; - Votre rigueur dans le suivi des demandes ; - Votre autonomie et votre fiabilité ; - Votre capacité à prendre des initiatives et à transformer les idées en actions ; - Votre goût du travail en équipe et du partage de connaissances. CE QUE NOUS VOUS OFFRONS - Un rôle central au sein d’une startup en pleine croissance dans la healthtech africaine ; - La possibilité d’avoir un impact concret sur l’accès aux soins et l’expérience des assurés ; - Un environnement de travail stimulant, collaboratif et centré sur l’impact ; - Des opportunités de formation et d’évolution professionnelle ; - La possibilité de piloter des projets d’amélioration continue ; - Un package de rémunération compétitif. Si vous aimez aider les autres, résoudre des problèmes et créer des expériences client de qualité, rejoignez l’équipe Care d’Alan 🎁 AVANTAGES - Type de contrat : CDD/CDI. - Sur site, dans nos bureaux de Dakar, en collaboration étroite avec une équipe locale passionnée. - Tous les outils nécessaires pour donner le meilleur de vous-même. - Une assurance santé complète via Alan pour vous et votre famille. - Des opportunités d'apprentissage et de formation : une politique flexible, des budgets pour les livres et les conférences. - Pour ce poste, nous recrutons à temps plein, sur une fourchette de niveaux comprise entre A1 et B0 grille des niveaux https://alan.com/en/careers/a/salary-equity (Pay scale A). 🎯 NOTE IMPORTANTE : NOUS RECRUTONS DES PERSONNES, PAS DES RÔLES. Si cette opportunité vous enthousiasme mais que vous ne cochez pas toutes les cases, nous serions ravis d'échanger avec vous. Toutes les personnes, y compris celles issues de groupes sous-représentés, devraient se sentir libres de postuler : soit on réussit, soit on apprend. Rappelez-vous, ceci est un guide, pas une liste exhaustive.

Location: Boston, MA Workplace: OnSite At WHOOP, we're on a mission to unlock and inspire performance for life. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives. WHOOP is hiring a Staff Software Engineer to join the Business Systems team. In this role, you will play a crucial role in architecting, developing, and optimizing the backend infrastructure and user experiences that underpin WHOOP’s internal operations, enabling scale and efficiency across the organization. You’ll design, build and evolve critical services and integrations that support Supply & Demand Planning, Inventory Management, Order Management, Fulfillment & Logistics, Membership Services, and other business functions. This role is designed for a visionary backend engineer who is passionate about building scalable, reliable, and flexible systems, eager to tackle high-impact challenges, and committed to delivering user-centric solutions that pave the way for our growth. RESPONSIBILITIES: - Set technical direction for critical domains within the Business Systems team, establishing an architecture and roadmap that balances immediate business priorities with long-term reliability, flexibility, and scale. - Architect, develop, and maintain backend services, APIs, integrations, and internal tools that connect business platforms, reduce manual work, and improve the accuracy and flow of data across systems. - Design and implement well-loved user experiences to interact with backend systems. - Partner with stakeholders across all of the teams mentioned above to understand critical workflows, identify opportunities for needle-moving improvement, and translate them into technical solutions. - Lead engineering efforts for complex technical initiatives from discovery through production rollout, coordinating dependencies across teams and vendors and measuring outcomes through operational efficiency, reliability, and user adoption. - Strengthen the security and resilience of business-critical systems through automated testing, observability, appropriate access controls, and improvements informed by production incidents. - Mentor engineers and elevate technical decision-making through hands-on development, thoughtful design and code reviews, and clear documentation that builds shared understanding and ownership. - Independently drive your agenda forward; this is a highly cross-functional role that needs broad trust and alignment in order to thrive. You must be skilled in driving this independently while also being able to move quickly. QUALIFICATIONS: - BS in Computer Science, Engineering, or equivalent experience. - 8+ years of professional backend software engineering experience. - Experience delivering and operating production software for complex business workflows, with demonstrated technical leadership across multiple systems or teams. - Ability to evaluate architectural tradeoffs across custom software and third-party platforms, considering business value, security, reliability, and ongoing maintenance. - Deep expertise in designing APIs, working with relational databases, and integrating enterprise applications or cloud services, including managing data consistency, retries, and failure recovery. - Strong software engineering fundamentals and proficiency in at least one modern backend programming language (e.g., Java, Python, Go, or similar)., with a track record of writing maintainable, well-tested code. - Demonstrated ability to interface with multiple product domains, particularly in developing backend solutions for resilient, high-throughput data processing networks, task automation, and streamlined workflows to optimize business operations - Deep experience with cloud-based infrastructure (e.g., AWS, GCP, or Azure) and distributed systems. - A strategic problem-solver with the ability to turn ambiguous business needs into practical technical plans and communicate decisions clearly to both technical and nontechnical stakeholders. - A proactive, collaborative team player, eager to take on new challenges, continuously learn, and adapt in a fast-paced, data-informed environment - Experience mentoring engineers and influencing cross-functional partners through collaboration, sound technical judgment, and a focus on shared outcomes. - Strong commitment to embracing and leveraging AI tools in day-to-day tasks, ensuring AI-assisted work aligns with the same high-quality standards as personal contributions. Learn more about our Software Org and how to be successful in your engineering career at WHOOP via our Career Framework https://engineering.prod.whoop.com/careerframework.   This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office.   Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply.   WHOOP is an Equal Opportunity Employer and participates in E-verify https://www.e-verify.gov/ to determine employment eligibility. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Location: Toronto, Ontario Workplace: Hybrid Artificial Intelligence. Actual Impact. At Docebo, we’re using AI to change how people learn at work—and we mean actually change it. We’re an AI-powered learning platform that helps organizations create, deliver, and manage training all in one place. But our real mission goes deeper: we help teams move faster, work smarter, and focus on the work that truly matters. Our platform is built with intelligent, time-saving tools that personalize learning, eliminate busywork, and turn training from a checkbox into a superpower. The result? Better experiences for learners and real results for businesses. We’re shaping the future of learning with a team that isn’t afraid to challenge the status quo. If you're excited by the idea of using AI to make work-life better for real people–you’ll feel right at home here. And it’s not just what we build, it’s how we show up. At Docebo, our values aren’t just posters on the wall—they guide how we work every day. We call it the Docebo Heart: trust by default, assume positive intent, and create space for different perspectives to thrive. So… what are you waiting for? Join 900+ Docebians around the world and help us reinvent the way people learn, because learning never stops. 🚀 THE ADVENTURE AHEAD Our Salesforce org is the system of record for how Docebo sells, renews and serves customers. It carries CPQ, document generation, e-signature, provisioning and billing integrations, and a growing set of AI-driven workflows. The team that runs it is small, senior, and split between Canada and Italy. We've spent this year putting real structure behind it: a formal development lifecycle, a definition of ready for every ticket, a security standard for integrations, and a hardening program that is cleaning up years of accumulated access. We're adding a senior developer to carry that forward. You'll build on the platform every week, but you'll also be one of the people the rest of the team turns to when a design needs a second opinion, a connected app needs scrutiny, or a request needs someone to say "not like that, and here's why." ⚡ THE DAY-TO-DAY - Design and build. Deliver production-quality solutions in Apex, Lightning Web Components, Flow and platform configuration, from a clear problem statement through solution design, build, test and release. You'll work the full lifecycle, not just the ticket in front of you. - Integration security and governance. Review every new or changed integration against our integration security standard: connected app scopes, OAuth and token lifecycle, dedicated Okta-provisioned integration users, least-privilege permission sets. You'll push back on anything that asks for more access than it needs and document the decision. - Code and design review. Act as a reviewer for the team's pull requests and solution designs. Hold the line on maintainability, test coverage, deployment readiness and SOX-relevant change controls, and give feedback people can act on. - Platform health. Own a share of the technical-debt and hardening backlog: retiring unused automation, consolidating permission models, cleaning up legacy packages and integration users, and reducing the org's risk surface one deliberate change at a time. - Access and provisioning backstop. Be a point person for user activation, license allocation and permission assignment, and help move that work from manual cloning toward documented roles and automation. - Delivery partnership. Work directly with Revenue Operations, Finance, Marketing and Customer Success on scoping, and with the team's administrators and QA partner on testing and release. Take part in the daily check-in and the biweekly backlog and capacity review. - AI in the day-to-day. Use AI tooling to move faster on triage, documentation and build, and apply the judgment to validate what it produces before it ships. We care about both halves. 🌟 YOUR SUPERPOWERS - Deep hands-on Salesforce development. Several years shipping Apex, Lightning Web Components, Flow and integrations (REST, platform events, middleware) in a production org with real users and real release discipline. - A security mindset. You understand connected apps, OAuth scopes, permission sets, profiles and integration users well enough to spot a risky configuration and explain the fix. You treat "valid until revoked" as a problem, not a default. - Review experience. You've reviewed other engineers' code and designs and know how to be direct and useful at the same time. - Comfort in a governed environment. SOX controls, structured deployment windows, mandatory UAT, a source-control-backed deployment pipeline (we use Gearset and GitLab). - Clear communication in English, written and spoken, with technical and non-technical stakeholders. You can explain a trade-off to a VP and a defect to a developer. - Independence and judgment. You scope your own work, ask for clarity early, and don't wait to be told that a request is under-specified. - Working hours that overlap the team. Our daily check-in runs at 09:30 Eastern / 15:30 Central European; you'll need to be reliably available for it from either location. 🎯 BONUS POINTS - Salesforce Platform Developer II, Application Architect or Integration Architect certification. - Experience with Salesforce CPQ or Revenue Cloud, Conga or similar document generation, DocuSign, or a billing migration (we're moving billing to NetSuite). - Experience with Slack, Okta, Fivetran or Datadog as they relate to a Salesforce org. - Exposure to Data Cloud or Agentforce. - Italian language skills, or prior experience on a team split across North American and European time zones.   OUR HYBRID WORK PHILOSOPHY 🤝 Great work can happen anywhere but coming together helps us go further. Our team spends three days a week in the office (Tuesday-Thursday) to collaborate, solve problems, and learn from each other. With flexibility the rest of the week, it’s a balance designed to help everyone do their best work and keep growing. OUR TOTAL REWARDS PHILOSOPHY 🎉 Our Total Rewards Philosophy centers around three core areas to reward and care for our People: - Rewarding Impact: We lead with competitive pay to reward the impact, skills and traits that fuel our success. - Fostering Holistic Wellbeing: We care deeply about and invest in the whole person with programs that support our people’s physical, mental, and financial well-being. - Empowering Our Talent Culture: We build a culture of trust and empowerment by designing our rewards and benefits with transparency, equity, and flexibility, enabling our people to do their best work and stay for the long haul. OUR PROMISE TO YOU 😍 - Financial Wellness: Own a piece of Docebo through our Employee Share Purchase Plan (ESPP) at a 15% discount, plus a competitive compensation package. - Your Well-Being, Covered: You’ll get access to health benefits, so you can get the care you need when you need it. - Rest, Relax, Repeat: Rest and recharge with paid vacation days, two company-wide Docebo Days, floating holidays for cultural celebrations, and your birthday off! - Family First: We provide coverage offering you time with your little one(s) so you can soak up all those precious moments. Fun fact: we had 30 Docebian babies join the family in 2025! - Connections That Count: Connect with global communities through our Employee Resource Groups (including PRIDE, DWA, BIDOC, and Green Ambassadors) and company-wide events that keep the fun rolling all year long. ABOUT DOCEBO 💙 At Docebo, we create seamless, AI-powered learning experiences for over 3,000 customers worldwide. We have successfully achieved two IPOs (TSX: DCBO & NASDAQ: DCBO https://www.docebo.inc/home/default.aspx), been recognized as a top SaaS e-learning solution, and are growing exponentially in the process. We're a global company, with office across North America, EMEA, APAC, and beyond. Our team is guided by five core values—Grow Together Win Together, Build with Our Customer, Clear is Kind, Own Outcomes, Progress Over Perfection—that shape everything we do. If this resonates with you, now is the perfect time to join one of the fastest-growing learning technology companies in the world. Docebo is an Equal Employment Opportunity employer https://www.eeoc.gov/sites/default/files/2022-10/EEOC_KnowYourRights_screen_reader_10_20.pdf. We are committed to diversity and inclusion in our workforce. All qualified applicants and employees will receive consideration for employment regardless of their race, colour, religion, sex (including pregnancy, gender identity, and sexual orientation), national origin, citizenship status, age, disability, genetic information, or any other category protected under applicable law. As a federal contractor, Docebo is committed to the principles of affirmative action and equal employment opportunity for protected veterans and individuals with disabilities. Docebo does not discriminate because of protected veteran status or on the basis of disability, and Docebo takes affirmative action to employ and advance in employment qualified protected veterans and individuals with disabilities. Any individuals requiring a reasonable accommodation or would like to voluntarily disclose a disability or protected veteran status to assist with their employment application should send an e-mail to their recruiter directly.

Location: Remote What you’ll be part of Garner is on a mission to transform the U.S. healthcare system — and we’re the only proven player doing exactly that. We partner with employers to redesign how healthcare works: applying 550+ proprietary clinical metrics across 80+ specialties to a dataset of 320M+ patients to identify the best-performing doctors, then using compelling incentives to steer members to the care that helps them get healthier, faster. The result is a rare “win win” — better care and lower costs for both members and employers. In just five years, our work has helped over 2.5 million people access higher-quality care and saved $1B in healthcare costs. We recently raised our Series E and have doubled five years running. If you've ever wanted your work to solve a problem that touches every person in this country, this is the opportunity to do exactly that. You'd be joining a team fundamentally reimagining healthcare in the U.S. — and using AI to scale that impact further and faster than anyone else can. Who we want This is a role for someone who wants to work on a hard problem, deliver real impact and be pushed to be the best version of themselves. As a Payments Operations Analyst, you’ll be part of the Payments team within Claims Operations, reporting to the Payments Operations lead. You’ll help run and improve the operations that move money to our members every week, working directly with the partners who receive it. Your work will directly shape the member experience as Garner grows and launches new ways to reward members for choosing great care. What you will do Run day-to-day payment operations, including weekly payment cycles, funding, and the checks and controls that keep member payments accurate and on time Serve as a point of contact for external payment partners, working through file delivery, funding, error reports, and issue resolution Investigate payment issues end to end: analyze error reports, find the root cause, and drive fixes with internal teams and partners Support new client and partner launches, setting up payment workflows and confirming everything works once real payments start flowing Analyze and resolve payment questions and issues raised by clients, members, and internal teams, within our service standards Help maintain and improve the reporting, trackers, and dashboards that show the status of all payments work Contribute to internal tools, documentation, and process improvements, using automation and AI tools to make recurring work faster and more reliable Raise risks early and keep the right people informed, so issues are resolved before they reach members What we're looking for 1-4 years of experience in operations, analytics, or a similar role; experience in payments, fintech, payroll, benefits, or healthcare operations is a plus, not a requirement Experience working with external partners or vendors to troubleshoot and resolve issues An analytical mindset with a keen attention to detail; you dig for the root cause before jumping to a fix Comfort working with financial data and reconciliations in Excel/Google Sheets Familiarity with file-based integrations (for example, SFTP, encryption, or file mapping) is a plus Clear, proactive communication with internal teams and external partners, and comfort using AI tools to work faster and more accurately A combination of high ownership mentality and detail orientation, including sound judgment and rigor on high-stakes, sensitive operational work, that has resulted in a track record of delivering operational initiatives on tight deadlines A willingness to “roll up your sleeves” and do whatever is necessary to ensure company success A methodical problem-solver who drives continuous improvement, readily gives and absorbs feedback, and operates with individual accountability and integrity as part of a mission-driven team. A desire to do work that matters: and to be held to a high standard while doing it. You're energized by a mission with measurable outcomes, not just good intentions. You engage with AI tools as part of how you do your best work, and hold yourself accountable to outcomes that matter beyond your team’s metrics. Please note: we are unable to sponsor or take over sponsorship of an employment visa at this time. Compensation Transparency: The base salary range for this position is $65,000 - $78,000. Individual compensation for this role will depend on various factors, including qualifications, skills, and applicable laws. In addition to base compensation, this role is eligible to participate in our equity incentive and competitive benefits plans, including but not limited to: flexible PTO, Medical/Dental/Vision plan options, 401(k), Teladoc Health and more. Fraud and Security Notice: Please be aware of recent job scam attempts. Our recruiters use getgarner.com and garnerhealth.com email domains exclusively. If you have been contacted by someone claiming to be a Garner recruiter or a hiring manager from a different domain about a potential job, please report it to law enforcement here and to candidateprotection@garnerhealth.com . Equal Employment Opportunity: Garner Health is proud to be an Equal Employment Opportunity employer and values diversity in the workplace. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. Garner Health is committed to providing accommodations for qualified individuals with disabilities in our recruiting process. If you need assistance or an accommodation due to a disability, you may contact us at talent@garnerhealth.com .