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Location: Intellias Meet your recruiter Smita Aage smita.aage@intellias.com https://www.linkedin.com... Vacancy details Software Engineering Data Engineer Principal India Hybrid APPLY NOW REFER A FRIEND Our client is a company that enables people, enterprises, and cities to harness the power of location. By making sense of the world through the lens of location, it empowers their customers to achieve better outcomes from helping a city manage its infrastructure or an enterprise optimize its assets to delivering drivers to their destination safely. What project we have for you Our client is a is a location data and technology platform company that empower customers to achieve better outcomes – from helping a city manage its infrastructure or a business optimize its assets to guiding drivers to their destination safely. They create solutions that fuel innovation, provide opportunity and foster inclusion to improve people’s lives. If you are inspired by an open world and driven to create positive change, join us! As a Lead/Principal Engineer in the Map Data Processing group you will develop smart Map Data processing tools for the state-of-the-art Mapping Technologies. You will work self-sustained in an agile team. Your responsibility will cover developing, extending and maintaining tool and services that processes map data for global navigational database. For that you will be translating product strategies into technology strategies, leading the long-term architectural direction and helping design and build industry-grade customer-facing geo-data-intensive products. You will work closely with other engineering & operations teams, internal users of tool chains your team develops and partner with product managers and the larger map operations business units. What you will do Participate in the development, and maintenance of Python applications. Troubleshoot and debug applications to resolve issues. Write clean, efficient, and self-documented code. Implement automation tests. Collaborate with team members to identify and solve technical problems. Participate in code reviews to ensure code quality and maintainability. Work with stakeholders to gather and analyze requirements and provide technical solutions. Monitor application performance and provide optimization recommendations. Stay up to date with the latest technologies and industry trends. What you need for this Join our engineering organization to build the next generation of automated map data processing for a global provider of location and mapping solutions used in automotive and mobility. You will be one of the founding engineers on Platform — a system that takes road data from multiple sources (GPS traces, traffic signs, open map data), detects errors in the map, and either auto-corrects them or flags them for human review. The platform produces quality signals and road attribute corrections that feed directly into navigation and autonomous driving products. This is a project-starter role. We are looking for someone who can define technical direction, shape architecture from scratch, align stakeholders across teams, and raise the engineering bar — not someone who joins and executes tasks. The primary language on this team is Python/Pyspark — strong technical leads in either are welcome. Required skills: 8+ years of experience working as a Python Engineer/ Pyspark into Big Data Eco system or in a similar role. Strong Experience in AWS, Spark, Big Data Eco system Strong proficiency in Python programming and knowledge of object-oriented programming principles. Solid understanding of algorithms and data structures. Experience with OpenSearch / Elastic Search i.e. Understanding how the index’s works and how the layer are stitched together, also how to create schemas. Experience in Prompt Engineering to maintain, enhance or modify the prompts used for AWS Bedrock. Proficiency in ETL, protobuf. Experience with Amazon Web Services (AWS). Experience with API Gateway, Lambda’s, Step-Functions. Proficiency in version control systems, particularly Git. Knowledge of Agile methodologies, such as Scrum, and experience working in Agile teams. Strong problem-solving skills and the ability to debug and optimize code. Excellent communication and teamwork skills, with the ability to collaborate effectively with cross-functional teams. Will be a plus: Experience with HDLive maps, Open Drive, etc. Technologies: Python (primary — one or the other) Big Data, Spark, Pyspark AWS (Step Functions, ECS, Lambda, EMR) CI/CD (GitHub / GitLab) What it’s like to work at Intellias At Intellias, where technology takes center stage, people always come before processes. By creating a comfortable atmosphere in our team, we empower individuals to unlock their true potential and achieve extraordinary results. That’s why we offer a range of benefits that support your well-being and charge your professional growth. We are committed to fostering equity, diversity, and inclusion as an equal opportunity employer. All applicants will be considered for employment without discrimination based on race, color, religion, age, gender, nationality, disability, sexual orientation, gender identity or expression, veteran status, or any other characteristic protected by applicable law. We welcome and celebrate the uniqueness of every individual. Join Intellias for a career where your perspectives and contributions are vital to our shared success. Skills AWS BigData CI/CD Python Spark

Location: Remote - India 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 our next Staff engineer (L4) on Twilio’s Segment, Data Pipelines team. About the job As a Staff Engineer on the Twilio Segment Data platform/ pipelines team, you’ll build and scale systems that process several hundred thousands of data points per second. You will lead the development of high-scale ingestion and data processing systems You'll be designing, operating and maintaining complex distributed systems, ensuring reliability, performance, and cost-efficiency while querying petabytes of data for our customer data platform (CDP). Responsibilities In this role, you’ll: Design and deliver robust, high-scale routing experiences for the Data platform/ pipelines team for Twilio Segment. Ship features that opt for high availability and throughput with eventual consistency Collaborate with engineering and product leads, as well as teams across Twilio Segment Support the reliability and security of the platform Build and optimize globally available and highly scalable distributed systems Be able to act as a team Tech Lead as needed Mentor other engineers on the team in technical architecture and design Partner with application teams to deliver end to end customer success. 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: Bachelor’s or Master’s degree in Computer Science, Engineering, or related field. Hands-on experience with high-scale messaging/streaming systems (several thousand events/sec) and processing engines ( 1M+ events/sec). 8+ years of experience writing production-grade code in a modern programming language Strong theoretical fundamentals and hands-on experience designing and implementing highly available and performant fault-tolerant distributed systems. Experience programming in one or more of the following: Go, Java, Scala, or similar languages Well-versed in concurrent programming, along with a solid grasp of Linux systems and networking concepts. Experience operating large-scale, distributed systems on top of cloud infrastructure such as Amazon Web Services (AWS) or Google Cloud Platform (GCP) Experience in message passing systems (e.g., Kafka, AWS Kinesis) and/or modern stream processing systems (e.g., Spark, Flink). Have hands-on experience with container orchestration frameworks (e.g. Kubernetes, EKS, ECS) Leverage best-in-class development productivity practices including AI tooling. Experience shipping services (products) following CI/CD development paradigm. Deep understanding of architectural patterns of high-scale web applications (e.g., well-designed APIs, high volume data pipelines, efficient algorithms) Desired: Ideally domain expertise in the Modern Data stack with experience in developing cloud-based data solution components and architecture covering data ingestion, data processing and data storage Have a track record of successfully leading teams, large projects, or owned and built an important, complex system end to end, delivered iteratively. Excellent written and verbal technical communication skills to convey complex technical concepts effectively.Comfortable asking questions and taking initiative to solve problems where it is often necessary to “ draw the owl ” Location This role will be based in any of the permitted 5 India states (Delhi, Karnataka, Maharashtra, Telangana & TamilNadu) 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. 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: Intellias Meet your recruiter Viktoriia Borsuk viktoriia.borsuk@intellias.com https://www.linkedin.com... Vacancy details Software Engineering Scala Engineer Junior Ukraine Remote APPLY NOW REFER A FRIEND We have a dream: to change industries through the power of digital technology. With a team of top-notch engineers by your side, you will develop groundbreaking solutions at Intellias. Let’s code the future together! What project we have for you This is your great opportunity to join a fast-growing and highly motivated team that develops a Big Data Analytics platform for geolocation data processing. The goal of this project is to create a pipeline for automated E2E data compilation, verification, and testing. The project has minimum or none legacy processes and technologies. We are looking for a technogeek ready to tackle even the toughest technological challenges with Scala and Spark. What you will do Boost the effectiveness of our team by helping us optimize existing algorithms. Develop products using Agile methods and tools Develop commercial-grade software that is user friendly and suitable for the global B2B audience Participate in design reviews and code reviews of your work and the work of your peer engineers Participate in architecture and design efforts Collaborate with other engineers to deliver high quality software on time. What you need for this Required skills: 1+ year of experience in Scala Have a hands-on experience in designing and developing Big Data processing systems in the realm of Scala and Spark Have a strong mathematical background Be passionate about creating high-quality code and constantly improving their coding skills. Understand and actively use best coding practices, patterns, and approaches Have a highly developed set of analytical and communication skills Have an ability to deal with the technical challenges Be able to find and propose problem solutions and communicate them to the team and the stakeholders. Ability to understand and develop low-latency, high-performance backend applications Experience with CI/CD practices Will be a plus: Experience with Docker/Docker Compose and various cloud providers (AWS) Practical experience in writing integration and unit tests DevOps skills: Linux shell scripting, Jenkins pipelines creation Experience with JTS or another GIS framework Working with Google ProtoBuf What it’s like to work at Intellias At Intellias, where technology takes center stage, people always come before processes. By creating a comfortable atmosphere in our team, we empower individuals to unlock their true potential and achieve extraordinary results. That’s why we offer a range of benefits that support your well-being and charge your professional growth. We are committed to fostering equity, diversity, and inclusion as an equal opportunity employer. All applicants will be considered for employment without discrimination based on race, color, religion, age, gender, nationality, disability, sexual orientation, gender identity or expression, veteran status, or any other characteristic protected by applicable law. We welcome and celebrate the uniqueness of every individual. Join Intellias for a career where your perspectives and contributions are vital to our shared success. Skills Scala Spark

Location: Montreal DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world.  We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk. Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets. We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it.  DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus. We are looking for a passionate Software Developer to join our team. You will develop critical software that our traders, researchers and engineering teams use to implement and analyze our algorithmic trading strategies. As a member of our team, you will be surrounded by cutting-edge technology and senior technologists providing you with the best possible environment to succeed. How you will make an impact: Building scalable and performant software using software engineering best practices Analyzing requirements from traders and analysts for algorithmic trading Facilitating discussions on code implementation, testing, software architecture best practices Driving projects and leading new initiatives Actively engaging with others on the development team to resolve challenging design and coding issues What DRW Montreal has to offer you: Mentorship with experienced software developers, database administrators, and technical project managers Continuous learning through paid postgraduate degrees, Dev Lightning talks, online learning support and 1 on 1 language tutoring with Berlitz 40 hours of paid volunteer work at the organization of your choice Bi-weekly social activities, monthly wellness plan, on-site weekly massages, and games room Enjoy daily catered meals (breakfast and lunch) with unlimited snacks and beverages Competitive salary, matching RRSP, paid company phone, laptop, and work from home set-up What you bring to the team: A Bachelor’s or a Master’s degree in Computer Science, Software Engineering or equivalent 3 to 7 years of experience building software systems Strong understanding of software engineering principles and best practices Self-directed, proactive and able to drive work forward independently. Good knowledge and experience in at least 1 of the following: JavaScript/TypeScript, NodeJs, React, Ruby and Python. Experience in more than one is an asset. Strong verbal and written communication skills Dedicated team player and a passionate problem solver with strong interpersonal skills Experience with any of these technologies is an asset: Redis, RabbitMQ, GraphQL, MongoDB, Docker, WebSocket, AMQP, TCP, HTTP Experience with relational databases is an asset (PostgreSQL, MySQL, MS SQL Server, Oracle) Find out more about all of our perks & benefits at https://drw.com/work-at-drw/montreal-benefits. For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice . California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice . #LI-KS1

Location: San Francisco, CA Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . Job Duties: Design, build, and deploy industrial-level machine learning models to solve critical problems in ad ranking, bidding, and optimization. Take full ownership of the ML lifecycle, from ideation and research to building scalable serving systems and maintaining models in production. Perform systematic feature engineering to transform raw, diverse data into high-quality features that drive model performance. Work closely with product managers, data scientists, and engineers to translate business challenges into effective ML solutions. Improve the reliability and stability of our ML systems by building robust monitoring, alerting, and automated retraining pipelines. Research new algorithms, stay up-todate with state-of-the-art ML techniques, and contribute to the team’s strategy and roadmap. Part-time telecommuting is an option. Hybrid work from Reddit offices in San Francisco, CA. Requirements: Master’s degree, or its foreign degree equivalent, in Computer Science, Robotics, Engineering (any field), or a related quantitative discipline and two (2) years of experience in the job offered or in any occupation in related field. Special Skill Requirements: (1) PII Data handling; (2) Kafka Infrastructure; (3) Data governance; (4) Batch data pipeline; (5) SLOs; (6) Graph service; (7) ML models; (8) XGboost; (9) LLM; (10) Google Cloud Platform. Any suitable combination of education, training and experience is acceptable. Part-time telecommuting is an option. Hybrid work from Reddit offices in San Francisco, CA. Benefits: Comprehensive Healthcare Benefits and Income Replacement Programs 401k with Employer Match Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support Family Planning Support Gender-Affirming Care Mental Health & Coaching Benefits Flexible Vacation & Paid Volunteer Time Off Generous Paid Parental Leave Submit a resume with references using the apply button on this posting or by email at: applicationsreview@reddit.com at Req.# 1016.298.4. Pay Transparency: This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/ . To provide greater transparency to candidates, we share base pay ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. The base pay range for this position is: $216,700.00 - $303,400.00 USD #LI-DNI In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews. During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable.  We will not sell your personal information or disclose it to any third party for their marketing purposes.  We will delete any recording of your interview promptly after making a hiring decision.  For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors . Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve.  Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.

Location: Remote; Remote - Brazil; Remote - EMEA Workplace: Remote ABOUT US Constructor is the next-generation platform for search and discovery in ecommerce, built to explicitly optimize for metrics like revenue, conversion rate, and profit. Our search engine is entirely invented in-house utilizing transformers and generative LLMs, and we use its core and personalization capabilities to power everything from search itself to recommendations to shopping agents. Engineering is by far our largest department, and we've built our proprietary engine to be the best on the market, having never lost an A/B test to a competitive technology. We're passionate about maintaining this and work on the bleeding edge of AI to do so. Out of necessity, our engine is built for extreme scale and powers over 1 billion queries every day across 150 languages and roughly 100 countries. It is used by some of the biggest ecommerce companies in the world like Sephora, Under Armour, and Petco. We're a passionate team who love solving problems and want to make our customers' and coworkers' lives better. We value empathy, openness, curiosity, continuous improvement, and are excited by metrics that matter. We believe that empowering everyone in a company to do what they do best can lead to great things. Constructor is a U.S. based company that has been in the market since 2019. It was founded by Eli Finkelshteyn and Dan McCormick who still lead the company today. ABOUT THE ROLE We are hiring Senior Data Scientists across multiple teams at Constructor. Wherever you land, you will work with data from some of the world's largest ecommerce companies, applying statistics and machine learning to problems that directly move business metrics like revenue and conversion rate. Our data scientists design and analyze experiments, dig into how our ranking, personalization, and recommendation algorithms behave, and connect model performance to real business outcomes. During the interview process we will get to know your strengths and interests and match you with the team where you can have the biggest impact. WHAT YOU'LL DO - Design, run, and analyze A/B tests measuring impact on key business metrics like revenue, conversion rate, and profit - Apply statistical methods and machine learning to solve business and product problems - Develop a deep understanding of how our search, ranking, and personalization algorithms work, and how to evaluate and improve them - Analyze large-scale behavioral data to generate insights and recommendations for customers and internal teams - Build analyses, models, and tools that help teams make better decisions - Communicate findings clearly to technical and business stakeholders REQUIREMENTS - Strong experience solving business problems using data science and statistics - Solid knowledge of SQL and experience working with large datasets - Strong Python skills for analysis and modeling (pandas, NumPy, scikit-learn, visualization libraries) - Deep understanding of A/B testing, experiment design, and statistical inference PRODUCT & DATA UNDERSTANDING: - Understanding of machine learning systems: how models are trained, evaluated, and tuned - Experience connecting model or algorithm performance to product funnels and business metrics - Familiarity with ranking, recommendations, or search relevance is a plus COMMUNICATION & OWNERSHIP: - Ability to communicate insights clearly to both technical and business audiences - Comfortable working independently with multiple stakeholders in a fast-paced environment PREFERRED SKILLS: - Experience working in e-commerce or with large-scale user behavioral data - Experience in customer-facing analytical work BENEFITS - 🧠 Work with smart and empathetic people who will help you grow and make a meaningful impact. - 🎉 Regular team offsite events to connect and collaborate. - 🌎 Fully remote team - choose where you live. - 🏝️ Unlimited vacation time - we strongly encourage all of our employees take at least 3 weeks per year. - 🛋️ Work from home stipend! We want you to have the resources you need to set up your home office. - 💻 Apple laptops provided for new employees. - 🧑‍🎓 Training and development budget for every employee, refreshed each year. - 👪 Maternity & Paternity leave for qualified employees. - 💵 Base salary: $80k–$120K USD depending on knowledge, skills, experience, and interview results - 📈 Stock options - offered in addition to the base salary DIVERSITY, EQUITY AND INCLUSION AT CONSTRUCTOR At Constructor.io http://Constructor.io we are committed to cultivating a work environment that is diverse, equitable, and inclusive. As an equal opportunity employer, we welcome individuals of all backgrounds and provide equal opportunities to all applicants regardless of their education, diversity of opinion, race, color, religion, gender, gender expression, sexual orientation, national origin, genetics, disability, age, veteran status or affiliation in any other protected group. Studies have shown that women and people of color may be less likely to apply for jobs unless they meet every one of the qualifications listed. Our primary interest is in finding the best candidate for the job. We encourage you to apply even if you don't meet all of our listed qualifications. How we handle your data. By submitting this application, you acknowledge that Constructor will collect and process the personal data you provide for the purpose of evaluating your candidacy for this role. If you are not selected, we will retain your data for a limited period as described in our Recruitment Privacy Notice https://constructor.com/recruitment-privacy-notice. After that period your data will be deleted or anonymized.

Location: Remote - Brazil; Remote; Remote - EMEA Workplace: Remote ABOUT US Constructor is the next-generation platform for search and discovery in ecommerce, built to explicitly optimize for metrics like revenue, conversion rate, and profit. Our search engine is entirely invented in-house utilizing transformers and generative LLMs, and we use its core and personalization capabilities to power everything from search itself to recommendations to shopping agents. Engineering is by far our largest department, and we've built our proprietary engine to be the best on the market, having never lost an A/B test to a competitive technology. We're passionate about maintaining this and work on the bleeding edge of AI to do so. Out of necessity, our engine is built for extreme scale and powers over 1 billion queries every day across 150 languages and roughly 100 countries. It is used by some of the biggest ecommerce companies in the world like Sephora, Under Armour, and Petco. We're a passionate team who love solving problems and want to make our customers' and coworkers' lives better. We value empathy, openness, curiosity, continuous improvement, and are excited by metrics that matter. We believe that empowering everyone in a company to do what they do best can lead to great things. Constructor is a U.S. based company that has been in the market since 2019. It was founded by Eli Finkelshteyn and Dan McCormick who still lead the company today. ABOUT THE ROLE We are hiring Senior Product Analysts across multiple teams at Constructor. Wherever you land, you will help product teams understand how their work translates into user behavior and business outcomes, and use data to shape where our products should evolve next. Our product analysts define the metrics that matter, build the connection between product performance and business results, and turn ambiguous questions into clear, actionable insights. During the interview process we will get to know your strengths and interests and match you with the team where you can have the biggest impact. WHAT YOU'LL DO - Define and validate the metrics that product teams use to measure success - Build metric frameworks connecting product and algorithm performance to business outcomes like revenue and conversion - Analyze user behavior and product funnels to identify opportunities and guide product strategy - Design, run, and analyze A/B tests to evaluate product changes - Set up analytics for product areas, from instrumentation to dashboards and reporting - Partner closely with product managers, engineers, and leadership to turn insights into decisions REQUIREMENTS - Strong track record of solving product and business problems using data - Solid knowledge of SQL and experience working with large datasets - Experience with Python for data analysis (pandas, NumPy, visualization libraries) - Deep understanding of A/B testing and statistical concepts PRODUCT & DATA UNDERSTANDING: - Experience defining metrics, building metric trees, and analyzing product funnels - Ability to connect product changes to business outcomes and communicate the "so what" - Familiarity with ML-driven or AI products is a plus Communication & ownership: - Proven ability to work independently and own an analytics area end to end - Ability to communicate insights clearly and influence product strategy - Comfortable bringing structure to ambiguous questions in a fast-paced environment Preferred skills: - Experience working in e-commerce - Experience being the first or primary analyst embedded in a product team BENEFITS - 🧠 Work with smart and empathetic people who will help you grow and make a meaningful impact. - 🎉 Regular team offsite events to connect and collaborate. - 🌎 Fully remote team - choose where you live. - 🏝️ Unlimited vacation time - we strongly encourage all of our employees take at least 3 weeks per year. - 🛋️ Work from home stipend! We want you to have the resources you need to set up your home office. - 💻 Apple laptops provided for new employees. - 🧑‍🎓 Training and development budget for every employee, refreshed each year. - 👪 Maternity & Paternity leave for qualified employees. - 💵 Base salary: $80k–$120K USD depending on knowledge, skills, experience, and interview results - 📈 Stock options - offered in addition to the base salary DIVERSITY, EQUITY, AND INCLUSION AT CONSTRUCTOR At Constructor.io http://Constructor.io we are committed to cultivating a work environment that is diverse, equitable, and inclusive. As an equal opportunity employer, we welcome individuals of all backgrounds and provide equal opportunities to all applicants regardless of their education, diversity of opinion, race, color, religion, gender, gender expression, sexual orientation, national origin, genetics, disability, age, veteran status or affiliation in any other protected group. Studies have shown that women and people of color may be less likely to apply for jobs unless they meet every one of the qualifications listed. Our primary interest is in finding the best candidate for the job. We encourage you to apply even if you don't meet all of our listed qualifications. How we handle your data. By submitting this application, you acknowledge that Constructor will collect and process the personal data you provide for the purpose of evaluating your candidacy for this role. If you are not selected, we will retain your data for a limited period as described in our Recruitment Privacy Notice https://constructor.com/recruitment-privacy-notice. After that period your data will be deleted or anonymized.

Location: Georgia; Armenia; Serbia; Montenegro; Poland We’re looking for high-potential final-year students and recent graduates with strong problem-solving skills who can grow into outstanding technical contributors at CloudLinux . This is a paid, full-time graduate role and a first step into professional engineering. You’ll work on real products, learn alongside experienced engineers and deepen your technical skills in areas such as Linux, open-source software and security. We’re looking for people who combine strong independent thinking with the ability to use AI confidently to tackle complex technical problems — understanding unfamiliar code, developing solutions and critically evaluating the results. Who we are CloudLinux is a global remote-first company. We are driven by our principles: do the right thing, employees first, we are remote first, and we deliver high-volume, low-cost Linux infrastructure and security products that help companies to increase the efficiency of their operations. Every person on our team supports each other and does what we can to ensure we all are successful. Check out our website for more information. What you'll do You’ll join an engineering team working on Linux infrastructure and security for web hosting. Our products include CloudLinux OS , which helps hosting providers manage server resources and isolate hosting accounts, and Imunify , which protects servers and websites against malware and attacks. You don’t need prior experience in these specific areas. We’re looking for strong engineering potential — how you approach unfamiliar problems, learn quickly and use AI thoughtfully. We’ll consider your challenge results, interests and strengths alongside the opportunities available across our engineering teams. Experienced engineers on your team will help you get to know our codebase, tools and the way we work. Depending on the team you join, your work may include: Developing and testing product features, fixes and engineering tools. Investigating production issues, tracing their causes and implementing reliable solutions. Reading unfamiliar code and understanding how different parts of a system interact. Improving automation for building, testing and delivering software. Contributing to code reviews and technical discussions. Requirements What we’re looking for: Practical programming skills in at least one language, such as C, C++, Python or Go, whether from coursework, personal projects or early hands-on experience. Strong analytical thinking, solid fundamentals in algorithms and data structures, and a structured approach to solving problems. The ability to use AI tools to work through unfamiliar programming problems, critically assess and improve their output, and explain and test the resulting solution. Curiosity, the ability to learn independently, and persistence when a solution isn’t immediately clear. Care for code quality and the ability to carry a task through to a working, tested solution. Clear communication and the ability to explain technical decisions. English at B2 level or higher. We’re looking for people at the very start of their engineering careers. We’re open to: Final-year students. Recent graduates. This is a full-time position, including for candidates who are still completing their studies. What may help you stand out Any of the following can strengthen your application, although none is mandatory: A degree (or final-year standing) in Computer Science or a related technical field, or equivalent skills you can demonstrate through your projects and code. Personal or academic software projects, especially ones whose design decisions you can explain. Contributions to open-source projects, even small ones. Participation in CTF competitions, hackathons, or a homelab you administer. Evidence that you’ve taught yourself a language, stack or system in depth because a problem demanded it. A strong interest in Linux, operating systems, networking or security — including relevant coursework, a thesis, research or personal projects. If your CV doesn’t fully capture your potential, apply anyway. Show us what you’ve built, the hard problems you’ve solved, and what makes you different from other engineers at a similar stage of their career. How selection works What you build counts for more than your CV. Apply with a short form. Autofill your details from your CV or LinkedIn, then answer a few questions about how you think and work. We take a quick first look at each application. Candidates who look like a fit get a personal link to our engineering challenge, which carries the most weight in our assessment. You can start whenever you’re ready within the access window. You’ll have up to 3 hours for the challenge. It is modelled on a real problem from our security products — one our engineers have already solved in production. Your work won’t be used in our products; it is used only to assess your approach and skills. The task unfolds in phases, with changing requirements. It is deliberately larger than anyone can finish — we look at what you prioritise and why, not at whether you complete every part. AI tools are expected, not just allowed. We’re interested in your judgment: what you accept, reject and verify, and how you defend your trade-offs. Candidates whose challenge results demonstrate a strong match are invited to interview with our senior engineers and HR. The challenge is designed to give you an opportunity to demonstrate your practical skills, judgment and potential. Benefits What's in it for you? Fully remote work with flexible hours — schedule your day and work from anywhere in the world. 24 paid vacation days a year, 10 national holidays, and unlimited sick leave. Compensation for private medical insurance. Co-working and gym/sports reimbursement. A dedicated education budget. A reward for the most innovative idea the company can patent. A real focus on professional development, on interesting and challenging projects. By applying for this position, you consent to the processing of your personal data as described in our Privacy Policy ( https://cloudlinux.com/candidate-privacy-notice) , which provides detailed information on how we maintain and handle your data.

Figure’s Property Analytics team is seeking a Senior Applied Scientist to join us in our effort to reinvent real estate lending. You will be working alongside engineering, product, and business leaders to tackle complex research and machine learning problems related to automated valuation models (AVMs), asset valuation, and process optimization.

Location: Spain, Remote/Spain Workplace: remote About us: Tabby is on a mission to give people power over their money. For too long, financial systems have worked for the institutions that built them, not the people using them. Runaway interest, fine print and limited access have left many behind, feeling shut out of a system that wasn't setting them up for success. We're building a different kind of system—in a complete money app to send, spend and save. One that's clear, flexible and puts people and businesses in control. Founded in 2019, we serve customers and businesses across Saudi Arabia, the United Arab Emirates and Kuwait. Millions of customers and 65,000 global brands, government services and small businesses rely on us today. What began as a better way to pay at checkout has grown into a financial system working the way it should have all along. About the role: We are looking for a Risk (QA) Engineer to join our growing Risk and Scoring teams, responsible for Risk & Financial Modelling in the Tabby product. Key Responsibilities Development and implementation of credit policies and risk assessment strategies in accordance with the requirements of business customers (risk and anti-fraud department); Monitoring the operation of the decision-making system and assessing the effect of the implemented changes; Development and automation of test scripts for the changes made; Testing algorithms and elements of a credit decision-making strategy; Full analysis of the credit decision-making strategy in terms of technical implementation, search and elimination of errors. During the probationary period, you will be evaluated based on: Quality of changes implementation (including errors identified in production). Speed and productivity compared with average team performance. Quality of interaction with team members and stakeholders. Skills, Knowledge & Expertise 0.5+ years of relevant experience as a QA or SDET working on tech/fintech products. Basic knowledge of GoLand is desirable; Good knowledge of testing; Good knowledge of English. Ability to work in a stressful environment typical of startups. Benefits Fully remote work We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team. A working environment that gives you autonomy and responsibility from day one. You should be comfortable with the idea that the quality of your work will influence the shape of your career. Participation in the company’s employee stock options program. Flexi Perks : A monetary benefit that gives you the freedom to use it as you choose—whether for health and well-being, education and professional development or travel needs!

Location: Portugal, Remote/Portugal Workplace: remote About us: Tabby is on a mission to give people power over their money. For too long, financial systems have worked for the institutions that built them, not the people using them. Runaway interest, fine print and limited access have left many behind, feeling shut out of a system that wasn't setting them up for success. We're building a different kind of system—in a complete money app to send, spend and save. One that's clear, flexible and puts people and businesses in control. Founded in 2019, we serve customers and businesses across Saudi Arabia, the United Arab Emirates and Kuwait. Millions of customers and 65,000 global brands, government services and small businesses rely on us today. What began as a better way to pay at checkout has grown into a financial system working the way it should have all along. About the role: We are looking for a Risk (QA) Engineer to join our growing Risk and Scoring teams, responsible for Risk & Financial Modelling in the Tabby product. Key Responsibilities Development and implementation of credit policies and risk assessment strategies in accordance with the requirements of business customers (risk and anti-fraud department); Monitoring the operation of the decision-making system and assessing the effect of the implemented changes; Development and automation of test scripts for the changes made; Testing algorithms and elements of a credit decision-making strategy; Full analysis of the credit decision-making strategy in terms of technical implementation, search and elimination of errors. During the probationary period, you will be evaluated based on: Quality of changes implementation (including errors identified in production). Speed and productivity compared with average team performance. Quality of interaction with team members and stakeholders. Skills, Knowledge & Expertise 0.5+ years of relevant experience as a QA or SDET working on tech/fintech products. Basic knowledge of GoLand is desirable; Good knowledge of testing; Good knowledge of English. Ability to work in a stressful environment typical of startups. Benefits Fully remote work We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team. A working environment that gives you autonomy and responsibility from day one. You should be comfortable with the idea that the quality of your work will influence the shape of your career. Participation in the company’s employee stock options program. Flexi Perks : A monetary benefit that gives you the freedom to use it as you choose—whether for health and well-being, education and professional development or travel needs!

Location: Belgrade, Remote/Serbia Workplace: remote About us: Tabby is on a mission to give people power over their money. For too long, financial systems have worked for the institutions that built them, not the people using them. Runaway interest, fine print and limited access have left many behind, feeling shut out of a system that wasn't setting them up for success. We're building a different kind of system—in a complete money app to send, spend and save. One that's clear, flexible and puts people and businesses in control. Founded in 2019, we serve customers and businesses across Saudi Arabia, the United Arab Emirates and Kuwait. Millions of customers and 65,000 global brands, government services and small businesses rely on us today. What began as a better way to pay at checkout has grown into a financial system working the way it should have all along. About the role: We are looking for a Risk (QA) Engineer to join our growing Risk and Scoring teams, responsible for Risk & Financial Modelling in the Tabby product. Key Responsibilities Development and implementation of credit policies and risk assessment strategies in accordance with the requirements of business customers (risk and anti-fraud department); Monitoring the operation of the decision-making system and assessing the effect of the implemented changes; Development and automation of test scripts for the changes made; Testing algorithms and elements of a credit decision-making strategy; Full analysis of the credit decision-making strategy in terms of technical implementation, search and elimination of errors. During the probationary period, you will be evaluated based on: Quality of changes implementation (including errors identified in production). Speed and productivity compared with average team performance. Quality of interaction with team members and stakeholders. Skills, Knowledge & Expertise 0.5+ years of relevant experience as a QA or SDET working on tech/fintech products. Basic knowledge of GoLand is desirable; Good knowledge of testing; Good knowledge of English. Ability to work in a stressful environment typical of startups. Benefits Fully remote work We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team. A working environment that gives you autonomy and responsibility from day one. You should be comfortable with the idea that the quality of your work will influence the shape of your career. Participation in the company’s employee stock options program. Flexi Perks : A monetary benefit that gives you the freedom to use it as you choose—whether for health and well-being, education and professional development or travel needs!

Location: Armenia, Remote/Armenia Workplace: remote About us: Tabby is on a mission to give people power over their money. For too long, financial systems have worked for the institutions that built them, not the people using them. Runaway interest, fine print and limited access have left many behind, feeling shut out of a system that wasn't setting them up for success. We're building a different kind of system—in a complete money app to send, spend and save. One that's clear, flexible and puts people and businesses in control. Founded in 2019, we serve customers and businesses across Saudi Arabia, the United Arab Emirates and Kuwait. Millions of customers and 65,000 global brands, government services and small businesses rely on us today. What began as a better way to pay at checkout has grown into a financial system working the way it should have all along. About the role: We are looking for a Risk (QA) Engineer to join our growing Risk and Scoring teams, responsible for Risk & Financial Modelling in the Tabby product. Key Responsibilities Development and implementation of credit policies and risk assessment strategies in accordance with the requirements of business customers (risk and anti-fraud department); Monitoring the operation of the decision-making system and assessing the effect of the implemented changes; Development and automation of test scripts for the changes made; Testing algorithms and elements of a credit decision-making strategy; Full analysis of the credit decision-making strategy in terms of technical implementation, search and elimination of errors. During the probationary period, you will be evaluated based on: Quality of changes implementation (including errors identified in production). Speed and productivity compared with average team performance. Quality of interaction with team members and stakeholders. Skills, Knowledge & Expertise 0.5+ years of relevant experience as a QA or SDET working on tech/fintech products. Basic knowledge of GoLand is desirable; Good knowledge of testing; Good knowledge of English. Ability to work in a stressful environment typical of startups. Benefits Fully remote work We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team. A working environment that gives you autonomy and responsibility from day one. You should be comfortable with the idea that the quality of your work will influence the shape of your career. Participation in the company’s employee stock options program. Flexi Perks : A monetary benefit that gives you the freedom to use it as you choose—whether for health and well-being, education and professional development or travel needs!

Location: Tbilisi, Remote/Georgia Workplace: remote About us: Tabby is on a mission to give people power over their money. For too long, financial systems have worked for the institutions that built them, not the people using them. Runaway interest, fine print and limited access have left many behind, feeling shut out of a system that wasn't setting them up for success. We're building a different kind of system—in a complete money app to send, spend and save. One that's clear, flexible and puts people and businesses in control. Founded in 2019, we serve customers and businesses across Saudi Arabia, the United Arab Emirates and Kuwait. Millions of customers and 65,000 global brands, government services and small businesses rely on us today. What began as a better way to pay at checkout has grown into a financial system working the way it should have all along. About the role: We are looking for a Risk (QA) Engineer to join our growing Risk and Scoring teams, responsible for Risk & Financial Modelling in the Tabby product. Key Responsibilities Development and implementation of credit policies and risk assessment strategies in accordance with the requirements of business customers (risk and anti-fraud department); Monitoring the operation of the decision-making system and assessing the effect of the implemented changes; Development and automation of test scripts for the changes made; Testing algorithms and elements of a credit decision-making strategy; Full analysis of the credit decision-making strategy in terms of technical implementation, search and elimination of errors. During the probationary period, you will be evaluated based on: Quality of changes implementation (including errors identified in production). Speed and productivity compared with average team performance. Quality of interaction with team members and stakeholders. Skills, Knowledge & Expertise 0.5+ years of relevant experience as a QA or SDET working on tech/fintech products. Basic knowledge of GoLand is desirable; Good knowledge of testing; Good knowledge of English. Ability to work in a stressful environment typical of startups. Benefits Fully remote work We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team. A working environment that gives you autonomy and responsibility from day one. You should be comfortable with the idea that the quality of your work will influence the shape of your career. Participation in the company’s employee stock options program. Flexi Perks : A monetary benefit that gives you the freedom to use it as you choose—whether for health and well-being, education and professional development or travel needs!

Location: Belgrade, Remote Workplace: remote About us: Tabby is on a mission to give people power over their money. For too long, financial systems have worked for the institutions that built them, not the people using them. Runaway interest, fine print and limited access have left many behind, feeling shut out of a system that wasn't setting them up for success. We're building a different kind of system—in a complete money app to send, spend and save. One that's clear, flexible and puts people and businesses in control. Founded in 2019, we serve customers and businesses across Saudi Arabia, the United Arab Emirates and Kuwait. Millions of customers and 65,000 global brands, government services and small businesses rely on us today. What began as a better way to pay at checkout has grown into a financial system working the way it should have all along. About the role: We are looking for a Risk (QA) Engineer to join our growing Risk and Scoring teams, responsible for Risk & Financial Modelling in the Tabby product. Key Responsibilities Development and implementation of credit policies and risk assessment strategies in accordance with the requirements of business customers (risk and anti-fraud department); Monitoring the operation of the decision-making system and assessing the effect of the implemented changes; Development and automation of test scripts for the changes made; Testing algorithms and elements of a credit decision-making strategy; Full analysis of the credit decision-making strategy in terms of technical implementation, search and elimination of errors. During the probationary period, you will be evaluated based on: Quality of changes implementation (including errors identified in production). Speed and productivity compared with average team performance. Quality of interaction with team members and stakeholders. Skills, Knowledge & Expertise 0.5+ years of relevant experience as a QA or SDET working on tech/fintech products. Basic knowledge of GoLang is desirable; Good knowledge of testing; Good knowledge of English. Ability to work in a stressful environment typical of startups. Benefits Fully remote work We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team. A working environment that gives you autonomy and responsibility from day one. You should be comfortable with the idea that the quality of your work will influence the shape of your career. Participation in the company’s employee stock options program. Flexi Perks : A monetary benefit that gives you the freedom to use it as you choose—whether for health and well-being, education and professional development or travel needs!

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

Location: Warsaw, PL We bring startups and disruptive tech companies to the local market, offering engineers the opportunity to work on innovative, high-impact products. Join us and become a member of their R&D team while we take care of employment, HR support, a benefits package, and an enjoyable work environment. Orca Security is a cybersecurity startup and cloud innovation leader. Founded in 2019 in Israel by former Check Point managers, it raised $630+ million and became a 'unicorn' in 2021. This role sits on the Attack Surface Management team . It synthesizes data from cloud infrastructure, security events, logs, vulnerability intelligence, and third-party systems into interconnected security models that map network exposure, reveal attack paths, identify security gaps, and quantify overall security posture. ‍ The team also owns Orca's API Security capabilities, which discover and probe the APIs customers expose, as well as our Attack Surface Agent, an AI-driven "red agent" that runs offensive reconnaissance against customers' external assets. By understanding the relationships between assets, permissions, network accessibility, and potential risks, we enable product teams to deliver meaningful security insights to customers. ‍ Our Stack: Python, Go, Postgres, Kafka, Redis, DynamoDB, Django, Docker, Kubernetes, Terraform, AWS. ‍ You'll own critical components of our data collection and analysis pipelines, drive architectural decisions that influence how security data flows and is transformed into insights, and help us expand our capabilities. ‍ We're currently scaling our data collection to new cloud platforms and infrastructure types, improving our ability to model network exposure and surface security risks, broadening our API discovery and testing, building agentic offensive security capabilities, enhancing security scoring across new domains, and evolving our architecture towards a more event-driven design — and we're looking for experienced engineers who are eager to make a foundational impact. Write clean, concise code that is stable, extensible, and unit-tested appropriately. Write production-ready code that meets design specifications, anticipates edge cases, and accounts for scalability. Diagnose complex issues, evaluate, recommend and execute the best solution. Implement new requirements within our Agile delivery methodology while following our established architectural principles Lead initiatives end to end — from design and planning to implementation and deployment — while aligning cross-functional teams and ensuring technical excellence. Test software to ensure proper and efficient execution and adherence to business and technical requirements. Provide input into the architecture and design of the product; collaborating with the team in solving problems the right way. Develop expertise of AWS products and technologies. Bachelor's degree in Computer Science, Engineering or relevant experience. 5+ years of professional software development experience. Proven experience building data-intensive systems at scale. Experience with Python - Must. Experience with event-driven architectures and asynchronous message processing. Solid understanding of software design principles, concurrency, synchronization, memory management, data structures, algorithms, etc. Experience with Go. Experience with graph databases. Experience with distributed data processing technologies like Kafka. Experience with API security, offensive security, or building LLM-based agents. At On The Spot, we’re creating a workplace people would want to stay in: supportive, well-organized, and fair in terms of conditions and benefits. ‍ We’ll share more about our benefit package during the interviews. In the meantime, you can always check our Glassdoor reviews .

Location: Boston, MA Workplace: OnSite At WHOOP, we're on a mission to unlock and inspire performance for life. As the Director, Clinical Research Operations, you will lead the clinical operations function responsible for executing the studies that support WHOOP’s regulated and unregulated health features, with a particular focus on Software as a Medical Device (SaMD). You will own operational strategy and study execution across the product lifecycle, from early concept and feasibility through validation, regulatory submission, launch, and post-market evidence generation. This role requires deep expertise in clinical trial operations, decentralized clinical trials, vendor oversight, and operational execution within regulated healthcare environments. As both a strategic leader and hands-on expert, you will oversee studies conducted through CROs as well as internally executed studies, ensuring high-quality, efficient, and compliant execution across WHOOP’s clinical portfolio. You will build and mentor a high-performing Clinical Operations organization. You will strengthen WHOOP’s clinical operations capabilities and ensure our study execution strategy meets the expectations of regulators, investigators, participants, and the business.   QUALIFICATIONS: - Own the clinical operations strategy across WHOOP’s portfolio of regulated and unregulated health features, including feasibility, validation, regulatory submission, launch, and post-market evidence generation. - Develop and execute fit-for-purpose operational models for both internally executed studies and CRO-managed validation studies, ensuring efficient evidence generation across the product lifecycle. - Partner with Clinical Science and cross-functional leadership to develop study execution strategies, resource plans, vendor models, and operational timelines that balance speed, quality, cost, and regulatory requirements. - Lead study startup, planning, execution, monitoring, and closeout activities, ensuring timelines, budgets, enrollment targets, quality objectives, and regulatory requirements are achieved. - Oversee participant recruitment, enrollment, retention, study logistics, and data collection activities across both internally executed and externally managed studies. - Lead operational oversight of CROs, technology vendors, recruitment partners, and other external service providers, establishing scalable governance frameworks, performance metrics, and escalation pathways to ensure high-quality delivery and accountability. - Build and oversee capabilities for internally executed studies, including decentralized clinical trials (DCTs), feasibility studies, algorithm development studies, and product research initiatives. - Oversee Clinical Data Management and clinical trial technologies, ensuring high-quality, timely, and compliant data collection, management, and delivery across systems including EDC, CTMS, eConsent, ePRO, eTMF, and remote study platforms. - Oversee study startup and regulatory operations activities, including feasibility assessments, investigator and site selection, IRB and Ethics Committee submissions, global ethics approvals, essential document management, study activation, and Trial Master File inspection readiness. - Ensure studies are conducted in accordance with GCP, FDA regulations, ISO 14155, company procedures, and quality requirements, while supporting audits, inspections, and regulatory submissions. - Build and lead a high-performing Clinical Operations organization, including hiring, mentoring, workforce planning, and establishing scalable processes, standards, and operating models. - Communicate study progress, operational risks, resource needs, vendor performance, and portfolio status to executive leadership and key stakeholders. RESPONSIBILITIES: - Bachelor’s degree required; advanced degree (MS, MPH, MBA, RN, PharmD, PhD, or equivalent) preferred. - 10+ years of experience in clinical operations, clinical research, medical devices, digital health, diagnostics, pharmaceuticals, or another regulated healthcare environment. - 5+ years of experience leading multidisciplinary clinical operations teams, including Clinical Trial Management, Clinical Monitoring, Clinical Data Management, Study Startup, and Clinical Operations functions. - Demonstrated experience overseeing CRO-managed clinical studies and external vendor partnerships. - Experience leading internally executed clinical research programs, including decentralized clinical trials, participant-facing operations, site management, direct-to-participant research, or hybrid study models. - Deep expertise in clinical trial execution, study startup, participant recruitment, monitoring, enrollment, clinical data management, trial master file oversight, and study closeout activities. - Experience managing clinical study budgets, vendor contracts, resource forecasting, and portfolio planning. - Strong understanding of GCP, FDA regulations, ISO 14155, IRB/Ethics Committee processes, and medical device clinical research requirements. - Excellent written and verbal communication skills, with the ability to translate complex operational, clinical, and regulatory concepts for diverse audiences. This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office.    Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply.   WHOOP is an Equal Opportunity Employer and participates in E-verify https://www.e-verify.gov/ to determine employment eligibility.  It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.   The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values.   At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success.   The U.S. base salary range for this full-time position is $210,000-$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.   Learn more about WHOOP https://www.whoop.com/us/en/careers/?srsltid=AfmBOopKmph9d0DLBlogZu8mx6do0dzjNS8eJlfc4PQqQtdU6F8DGKBg.