Вакансии

Location: Remote - Alabama Innodata (Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked. Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale. We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers. Scope of the Role: At Innodata, we’re partnering with the world’s leading technology companies to build the future of generative AI and large language models (LLMs). We’re on the lookout for a smart, savvy, and curious Generative AI Specialist to join our global contributor community as part of our Subject Matter Expert (SME) on Demand program. This is not a traditional full-time role. It’s a part-time, remote, flexible, project-specific opportunity designed for those who want to make a real impact—on their schedule. Whether you're a writer, linguist, educator, researcher, or just deeply passionate about language and logic, this role lets you contribute to cutting-edge AI development while maintaining control over your time. You’ll be helping LLMs learn the intricacies of language and reasoning—not just how to write, but how to think. If you’ve ever dreamed of shaping the intelligence behind tomorrow’s technology, this is your chance. This is more than just a gig—it’s a rare chance to help shape the future of AI from anywhere in the world, on your own terms. What You’ll Own: Rating/assessing the performance of AI models or algorithms based on their output or behavior through a set of evaluative questions. Labeling elements of a piece of content rather than the content as a whole. Assigning predefined categories or labels to items. Evaluating the perceived quality and/or appropriateness of content Generating labels to advance understanding of a concept, trend etc. Creation of additional training data for machine learning models by applying transformations to the original data, such as modifying images (rotation, flipping, cropping), generating new text (paraphrasing, summarization), or altering audio/video signals (speed modification, pitch shifting) to reduce overfitting and increase dataset diversity. Reviewing data and identifying whether or not a product feature works as intended based on the project's guidelines. Labeling model outputs to identify if a piece of content is or isn't something. Examples: identify clickbait; identifying gaming videos; identifying branded content. Ordering or ranking items based on a set of preferences or criteria. Creating prompts or questions that will be used to generate responses from a language model or other AI system. Projects that evaluate the relevance of content based on a relevancy scale (1-3, 1-5, etc.). Generating responses to prompts or questions using a language model or other AI system. Rewriting existing text while preserving the original meaning, often to improve clarity or style and adherence to guidelines. Producing concise summaries of longer pieces of text or data. Converting spoken language or audio content into written text. Converting text or spoken language from one language to another. Gathering and compiling various forms of data to be used for training, evaluating, or fine-tuning the AI models. This may include text, images, videos, audio files, or other types of digital content. You’ll Thrive in This Role If You Have: A Bachelor’s degree or higher in a humanities specialization is required. Advanced degrees are strongly preferred (Master’s or PhD) Professional or Expert level proficiency (C1/C2) in English The expected hourly salary range for this position is $15 p/hour, based on experience, skills, and qualifications. Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at https://consumer.ftc.gov/articles/job-scams. If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at verifyjoboffer@innodata.com and consider reporting it to the FTC at ReportFraud.ftc.gov .

Location: Remote - United States 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 . 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 126 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . Reddit is poised to rapidly innovate and grow like no other time in its history. This is a unique opportunity to leave your mark on one of the most influential and trafficked corners of the internet. Consumer data science plays a key role in fulfilling Reddit’s mission of bringing community & belonging to the world through deep understanding of how we can better connect people to the best information and communities for them - the heart of Reddit’s product - from crypto to support groups, gaming to AMAs, travel tips to memes. Reddit's relevance challenges are uniquely complex. Our platform is a deeply interconnected network of communities, contributors, and consumers - where the notion of "relevance" spans personalized content ranking, community discovery, and search across an enormous corpus of authentic, user-generated content. We need a senior technical leader who thrives on these hard problems and can raise the bar for how we measure, evaluate, and improve the quality of recommendations and search results across the entire Consumer organization. As a Senior Staff Data Scientist on the Consumer team, you will be the go-to expert on relevance measurement and evaluation, partnering closely with Feeds and Search ML teams to tackle the most complex ranking, recommendation, and retrieval challenges across Consumer. You will shape how Reddit understands content quality, define the metrics and analytical frameworks that guide relevance improvements, and influence product strategy through rigorous analysis and experimentation. Responsibilities Serve as the technical authority on relevance metrics and evaluation methodology across Consumer, setting standards for how we measure the quality of feeds, search results, and recommendations in a complex, community-driven environment Develop metrics frameworks and offline evaluation approaches for ranking and recommendation systems, including proxy metrics that reliably predict long-term outcomes like retention, community health, and user satisfaction Design and analyze experiments for relevance features, accounting for challenges unique to networked platforms such as spillover effects between communities, interference between contributors and consumers, and long-run impacts of ranking changes on content supply Identify opportunities where improved measurement and analysis can unlock product insights that were previously unmeasurable or ambiguous, particularly around content quality, search intent understanding, and personalization effectiveness Partner deeply with ML engineers and product teams to translate model performance metrics into user-facing impact Influence the long-term product strategy for Feeds and Search by synthesizing insights from experimentation, observational analysis, and metric deep-dives into clear, actionable recommendations for senior leadership Mentor and elevate other data scientists across the organization on relevance evaluation, experimentation best practices for ranking systems, causal reasoning, and statistical rigor Publish and share methodological advances internally and, where appropriate, externally to contribute to the broader relevance, recommendation systems, and experimentation community Required Qualifications Ph.D. in Statistics, Computer Science, Information Retrieval, Economics, or a related quantitative field with a strong focus on recommendation systems, ranking, causal inference, or evaluation methodology; or M.S. with equivalent depth of expertise For M.S. holders: 12+ years of industry experience in applied science, data science, or relevance/ranking-focused roles For Ph.D. holders: 8+ years of industry experience in applied science, data science, or relevance/ranking-focused roles Deep expertise in metrics design and evaluation for ranking and recommendation systems, including offline metrics and counterfactual evaluation Strong understanding of causal inference and experimentation methodology, including practical experience with challenges relevant to ranking systems such as novelty effects, position bias, long-run effect estimation, and ecosystem-level impacts Experience defining and validating quality metrics for content ranking, search, or recommendations at scale Strong theoretical grounding in experimental design, including power analysis, variance reduction techniques, and sequential testing as applied to relevance experiments Expert knowledge of SQL and proficiency in R and/or Python for statistical computing Demonstrated ability to influence product and organizational strategy through data-driven insights about content quality and user experience Excellent communication skills with the ability to explain nuanced statistical and ML concepts and tradeoffs to both technical and non-technical senior stakeholders Experience mentoring data scientists and building organizational capability in relevance evaluation and experimentation Comfortable in innovative and fast-paced environments with a bias toward action Preferred Qualifications Published research or industry contributions in areas recommendation systems or causal inference for ranking Experience with social network or user-generated content platforms where community-level dynamics create non-trivial relevance and experimentation challenges 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 #LI-REMOTE 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 salary 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. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below. The base salary range for this position is: $232,500 — $325,500 USD 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: US About Aidoc Aidoc is the market leader in healthcare AI and has developed the world's largest clinical frontier model, supporting nearly 50 million patients each year. Aidoc is deployed in more than 2,000 medical centers worldwide. Since our founding in 2016, Aidoc has raised over $500 million and achieved a record number of FDA-cleared solutions. Medical diagnosis is hitting a breaking point, where the number of physicians hasn't kept up with the rapidly growing patient load. This leads to misdiagnosis and treatment delays that result in hundreds of thousands of deaths every year. Aidoc assists clinicians by precisely highlighting diseases directly on medical images, preventing misdiagnosis and ensuring that urgent patients receive the immediate attention they need. About this role This position focuses on championing customer centric solutions and outcomes. You will work closely with engineering, operations, sales and support teams to understand your customers, enhance the value they get from our solutions, and demonstrate the impact for their organization. You will have a strong understanding of our customers’ business objectives, and the ability to identify and articulate how our AI enterprise solutions support the achievement of our customers’ strategic goals. This is a remote role to be filled in the Western US. Responsibilities Serve as the customer's advocate and the customer’s trusted advisor- You are the bridge between Aidoc and our customers: Ensure positive customer experiences by proactively managing and growing customer relationships, including identifying key stakeholders. Lead discussions with our customers (top physicians in prestige medical centers). Understand each customer’s pain points and their workflow and enhance the value of AI in their departments. Define the next steps and work on “making things happen” with our R&D teams. Serve as the liaison between our customers and internal teams: Work with the technical team to ensure smooth onboarding of new customers. Drive product enhancements and work cross-functionally with internal teams (Product, Data, AI) by representing the customer perspective. Have a deep understanding of our solutions, their expected performance, and the user interface. Drive value demonstration of our solution for our customers: Perform data analysis and storytelling using data. Make insights out of the data and present it to our customers. Initiate and help execute research initiatives. Requirements BSc in science, engineering, or any quantitative field. Preferably MSc. 4+ years of experience in Customer Success /Customer-Facing analytics / Project Management or similar roles. Previous experience in a SaaS high-tech/startup company with an agile mentality is an advantage. Experience with data analytics is an advantage. Previous work with medical imaging and radiologists is an advantage. Research experience is an advantage. Experience in stakeholder management, building relationships and leading customers to success, preferably at executive level. Ability to multitask, problem solve, and work cross-functionally in a dynamic environment. Critical thinker with a good analytical approach and data-driven decision-making process. Tech-savvy person, who can understand technical concepts and lead discussions with the technical team in a fast-paced, startup environment. Excellent verbal and written communication skills (in English). Ability to work in the PST time zones. Ability to travel up to 25%. Working at Aidoc We’re a dynamic, collaborative and fast growing team of more than 500 global employees, committed to improving the world of healthcare. We’re looking for mission-driven people excited to do transformative work. We have offices in Barcelona, Tel Aviv and New York City, but Aidoc is a remote-first workplace. What we offer: A range of medical, dental and vision benefits Stock options for all full-time employees Flexible time off to enjoy the autonomy to take time off as needed to rest and recharge without vacation accrual limits, while coordinating with your manager and team to ensure business continuity and project goals are met. A 401(k) plan with company match, life insurance, plus long- and short-term disability The opportunity to directly improve medical care and impact patient outcomes #LI-REMOTE Aidoc is deeply committed to creating an inclusive workplace, and to the principle of equal opportunity for all individuals. We prohibit discrimination and harassment based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other status protected by law.

Location: US About Aidoc Aidoc is the market leader in healthcare AI and has developed the world's largest clinical frontier model, supporting nearly 50 million patients each year. Aidoc is deployed in more than 2,000 medical centers worldwide. Since our founding in 2016, Aidoc has raised over $500 million and achieved a record number of FDA-cleared solutions. Medical diagnosis is hitting a breaking point, where the number of physicians hasn't kept up with the rapidly growing patient load. This leads to misdiagnosis and treatment delays that result in hundreds of thousands of deaths every year. Aidoc assists clinicians by precisely highlighting diseases directly on medical images, preventing misdiagnosis and ensuring that urgent patients receive the immediate attention they need. About this role This position focuses on championing customer centric solutions and outcomes. You will work closely with engineering, operations, sales and support teams to understand your customers, enhance the value they get from our solutions, and demonstrate the impact for their organization. You will have a strong understanding of our customers’ business objectives, and the ability to identify and articulate how our AI enterprise solutions support the achievement of our customers’ strategic goals. This is a remote role to be filled in the Eastern US. Responsibilities Serve as the customer's advocate and the customer’s trusted advisor- You are the bridge between Aidoc and our customers: Ensure positive customer experiences by proactively managing and growing customer relationships, including identifying key stakeholders. Lead discussions with our customers (top physicians in prestige medical centers). Understand each customer’s pain points and their workflow and enhance the value of AI in their departments. Define the next steps and work on “making things happen” with our R&D teams. Serve as the liaison between our customers and internal teams: Work with the technical team to ensure smooth onboarding of new customers. Drive product enhancements and work cross-functionally with internal teams (Product, Data, AI) by representing the customer perspective. Have a deep understanding of our solutions, their expected performance, and the user interface. Drive value demonstration of our solution for our customers: Perform data analysis and storytelling using data. Make insights out of the data and present it to our customers. Initiate and help execute research initiatives. Requirements BSc in science, engineering, or any quantitative field. Preferably MSc. 4+ years of experience in Customer Success /Customer-Facing analytics / Project Management or similar roles. Previous experience in a SaaS high-tech/startup company with an agile mentality is an advantage. Experience with data analytics is an advantage. Previous work with medical imaging and radiologists is an advantage. Research experience is an advantage. Experience in stakeholder management, building relationships and leading customers to success, preferably at executive level. Ability to multitask, problem solve, and work cross-functionally in a dynamic environment. Critical thinker with a good analytical approach and data-driven decision-making process. Tech-savvy person, who can understand technical concepts and lead discussions with the technical team in a fast-paced, startup environment. Excellent verbal and written communication skills (in English). Ability to work in the EST time zones. Ability to travel up to 25%. Working at Aidoc We’re a dynamic, collaborative and fast growing team of more than 500 global employees, committed to improving the world of healthcare. We’re looking for mission-driven people excited to do transformative work. We have offices in Barcelona, Tel Aviv and New York City, but Aidoc is a remote-first workplace. What we offer: A range of medical, dental and vision benefits Stock options for all full-time employees Flexible time off to enjoy the autonomy to take time off as needed to rest and recharge without vacation accrual limits, while coordinating with your manager and team to ensure business continuity and project goals are met. A 401(k) plan with company match, life insurance, plus long- and short-term disability The opportunity to directly improve medical care and impact patient outcomes Aidoc is deeply committed to creating an inclusive and diverse workplace, and to the principle of equal opportunity for all individuals. We prohibit harassment of any type as well as discrimination based on race, color, religion, sex, sexual orientation, national origin, age, disability, veteran status, or any other status protected by law. Aidoc is deeply committed to creating an inclusive workplace, and to the principle of equal opportunity for all individuals. We prohibit discrimination and harassment based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other status protected by law.

Location: US About Aidoc Aidoc is the market leader in healthcare AI and has developed the world's largest clinical frontier model, supporting nearly 50 million patients each year. Aidoc is deployed in more than 2,000 medical centers worldwide. Since our founding in 2016, Aidoc has raised over $500 million and achieved a record number of FDA-cleared solutions. Medical diagnosis is hitting a breaking point, where the number of physicians hasn't kept up with the rapidly growing patient load. This leads to misdiagnosis and treatment delays that result in hundreds of thousands of deaths every year. Aidoc assists clinicians by precisely highlighting diseases directly on medical images, preventing misdiagnosis and ensuring that urgent patients receive the immediate attention they need. About this role This position focuses on championing customer centric solutions and outcomes. You will work closely with engineering, operations, sales and support teams to understand your customers, enhance the value they get from our solutions, and demonstrate the impact for their organization. You will have a strong understanding of our customers’ business objectives, and the ability to identify and articulate how our AI enterprise solutions support the achievement of our customers’ strategic goals. This is a remote role to be filled in the Central US. Responsibilities Serve as the customer's advocate and the customer’s trusted advisor- You are the bridge between Aidoc and our customers: Ensure positive customer experiences by proactively managing and growing customer relationships, including identifying key stakeholders. Lead discussions with our customers (top physicians in prestige medical centers). Understand each customer’s pain points and their workflow and enhance the value of AI in their departments. Define the next steps and work on “making things happen” with our R&D teams. Serve as the liaison between our customers and internal teams: Work with the technical team to ensure smooth onboarding of new customers. Drive product enhancements and work cross-functionally with internal teams (Product, Data, AI) by representing the customer perspective. Have a deep understanding of our solutions, their expected performance, and the user interface. Drive value demonstration of our solution for our customers: Perform data analysis and storytelling using data. Make insights out of the data and present it to our customers. Initiate and help execute research initiatives. Requirements BSc in science, engineering, or any quantitative field. Preferably MSc. 4+ years of experience in Customer Success /Customer-Facing analytics / Project Management or similar roles. Previous experience in a SaaS high-tech/startup company with an agile mentality is an advantage. Experience with data analytics is an advantage. Previous work with medical imaging and radiologists is an advantage. Research experience is an advantage. Experience in stakeholder management, building relationships and leading customers to success, preferably at executive level. Ability to multitask, problem solve, and work cross-functionally in a dynamic environment. Critical thinker with a good analytical approach and data-driven decision-making process. Tech-savvy person, who can understand technical concepts and lead discussions with the technical team in a fast-paced, startup environment. Excellent verbal and written communication skills (in English). Ability to work in the Central time zones. Ability to travel up to 25%. Working at Aidoc We’re a dynamic, collaborative and fast growing team of more than 500 global employees, committed to improving the world of healthcare. We’re looking for mission-driven people excited to do transformative work. We have offices in Barcelona, Tel Aviv and New York City, but Aidoc is a remote-first workplace. What we offer: A range of medical, dental and vision benefits Stock options for all full-time employees Flexible time off to enjoy the autonomy to take time off as needed to rest and recharge without vacation accrual limits, while coordinating with your manager and team to ensure business continuity and project goals are met. A 401(k) plan with company match, life insurance, plus long- and short-term disability The opportunity to directly improve medical care and impact patient outcomes Aidoc is deeply committed to creating an inclusive workplace, and to the principle of equal opportunity for all individuals. We prohibit discrimination and harassment based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other status protected by law.

Location: Tel Aviv-Yafo, Tel Aviv District, Israel About Aidoc Aidoc is the market leader in healthcare AI and has developed the world's largest clinical frontier model, supporting nearly 50 million patients each year. Aidoc is deployed in more than 2,000 medical centers worldwide. Since our founding in 2016, Aidoc has raised over $500 million and achieved a record number of FDA-cleared solutions. Medical diagnosis is hitting a breaking point, where the number of physicians hasn't kept up with the rapidly growing patient load. This leads to misdiagnosis and treatment delays that result in hundreds of thousands of deaths every year. Aidoc assists clinicians by precisely highlighting diseases directly on medical images, preventing misdiagnosis and ensuring that urgent patients receive the immediate attention they need. About this role This is a leadership role within Aidoc’s core AI group, focused on building and evolving the AI-facing software systems that enable our algorithms to move from research into robust, production-ready components. The AI Software team is responsible for developing the software layers, tooling, and core systems that support the development, execution, and operational readiness of AI models throughout their lifecycle. As a Team Lead, you will shape the team’s technical direction, guide execution, and remain deeply hands-on, contributing to architecture, implementation, and key technical decisions. You will lead a scrum team, work closely with AI researchers and algorithm engineers, and collaborate with product and engineering partners. The role combines strong software engineering with AI context, in a culture where software quality is a core enabler of AI excellence, and technical leadership is grounded in ownership, clarity, and impact. Responsibilities Lead the team’s work on core software systems that sit at the intersection of algorithms and engineering, owning their design and implementation as part of the overall solution. Guide and support team members’ growth, providing technical leadership, mentoring, and day-to-day coaching while fostering ownership and accountability. Stay deeply hands-on in design and implementation, contributing code and solving complex software engineering problems where impact is highest. Collaborate closely across teams, working with algorithm engineers, Product, and Engineering partners to define interfaces and align priorities. Own project-level architecture and technical decisions, ensuring high-quality systems through sound design, code reviews, testing practices, and clear documentation. Requirements BSc or MSc in Computer Science, Engineering, or a related field. At least 7 years of hands-on experience building complex software systems. At least 3 years of experience as a team leader, actively contributing to design and code development. Experience designing and building core software systems that are an integral part of algorithmic and AI-driven solutions. Deep understanding of computer science fundamentals, including object-oriented design, performance optimization, and system complexity. Strong ability to lead end-to-end development processes while remaining technically involved. Strong communication and collaboration skills, with the ability to work effectively across teams. A strong sense of ownership and accountability, leading by example and driving execution. A collaborative leader who listens, values others’ input, and motivates team members. Strong commitment to clean code, sound architecture, and high engineering standards. Working at Aidoc Our Perks: Be part of something big - using cutting-edge technologies to transform the Healthcare industry (while saving patients’ lives) We work in a hybrid model, with our new offices located at 34 HaMasger Street in Tel Aviv and parking for employees. Amazing and healthy breakfasts and lunches prepared daily by our personal chef! Stocked up kitchen & meal card Wellness: Aidoc employees-only gym, plus Pilates, Yoga, and functional workouts classes. Amazing culture - collaborative, transparent & fun! Attractive compensation package & benefits Aidoc is deeply committed to creating an inclusive workplace, and to the principle of equal opportunity for all individuals. We prohibit discrimination and harassment based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other status protected by law.

Location: Tel Aviv-Yafo, Tel Aviv District, Israel About Aidoc Aidoc is the market leader in healthcare AI and has developed the world's largest clinical frontier model, supporting nearly 50 million patients each year. Aidoc is deployed in more than 2,000 medical centers worldwide. Since our founding in 2016, Aidoc has raised over $500 million and achieved a record number of FDA-cleared solutions. Medical diagnosis is hitting a breaking point, where the number of physicians hasn't kept up with the rapidly growing patient load. This leads to misdiagnosis and treatment delays that result in hundreds of thousands of deaths every year. Aidoc assists clinicians by precisely highlighting diseases directly on medical images, preventing misdiagnosis and ensuring that urgent patients receive the immediate attention they need. About this role This is a role in Aidoc’s core AI group, which specializes in developing cutting-edge AI solutions in healthcare, enhancing medical imaging and diagnostics. As a Tech Leader in the AI Algorithm Engineering group, you will play a pivotal role in both managing end-to-end AI research and development efforts and hands-on involvement in key-initiatives. Your responsibility will include design, implementation, guidance and mentoring for team members, and representing the AI considerations in cross-team discussions. You will leverage your extensive experience to lead multiple AI projects, and will be a key figure in leading successful execution and in finding creative solutions to difficult bottlenecks, across data, AI, engineering and product considerations. Responsibilities Lead the design, development, and implementation of accurate and robust AI algorithms for medical data with a hands-on approach. Collaborate with cross-functional teams, including data scientists, software engineers, product managers and clinical data experts, to ensure AI considerations have a profound impact on R&D and Product decisions across the projects. Design and conduct research and experimentation to improve algorithm performance and accuracy. Stay at the forefront of the latest advancements in AI and machine learning, particularly in the medical domain, and drive their adoption within the team. Oversee multiple projects, ensuring successful execution, timely delivery and alignment with product and business objectives. Provide strategic direction and technical mentoring to elevate the capabilities of the AI team. Requirements Master's or Ph.D. degree in Computer Science, Electrical Engineering, Physics, or a related field. 7+ years of experience in designing and implementing AI/DL algorithms, with a preference for experience in healthcare or medical imaging. Proven track record of leading AI projects and delivering AI solutions to commercial success. Exceptional analytical and problem-solving skills. Strong ability to work independently and as part of a cross-functional team. Excellent communication and collaboration skills, with the ability to articulate complex technical concepts to non-technical stakeholders. Proficiency in Python and familiarity with relevant AI/ML frameworks. Experience in both computer vision and NLP is highly desirable. Prior experience in the healthcare industry is an advantage. Working at Aidoc Our Perks: Be part of something big - using cutting-edge technologies to transform the Healthcare industry (while saving patients’ lives) We work in a hybrid model, with our new offices located at 34 HaMasger Street in Tel Aviv and parking for employees. Amazing and healthy breakfasts and lunches prepared daily by our personal chef! Stocked up kitchen & meal card Wellness: Aidoc employees-only gym, plus Pilates, Yoga, and functional workouts classes. Amazing culture - collaborative, transparent & fun! Attractive compensation package & benefits Aidoc is deeply committed to creating an inclusive workplace, and to the principle of equal opportunity for all individuals. We prohibit discrimination and harassment based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other status protected by law.

Location: Remote, Global Workplace: Remote ABOUT SUPABASE Supabase is the open-source Postgres development platform. 10M+ developers and thousands of enterprises depend on it every day. Database, Auth, Storage, Edge Functions, Realtime and Vector Search run on one platform: the same compute, disks, network and control plane, in each region we operate. Supabase's hardest problems live in that platform. We run millions of databases, and the count compounds each quarter. Our customers range from a developer on a free project to a regulated enterprise that routes traffic through PrivateLink https://supabase.com/docs/guides/platform/privatelink and puts us through a security review before it signs. Reliability, capacity, cost, security and the enterprise features that close deals all come back to the same primitives. We're hiring a Product Lead to own them and build the product team behind them. ABOUT THE ROLE You lead product for the platform under every Supabase product: compute, disks, networking, the API gateway, capacity and regions. You also own what enterprises build and buy on top of it: read replicas https://supabase.com/docs/guides/platform/read-replicas, custom domains https://supabase.com/docs/guides/platform/custom-domains, PrivateLink, Bring Your Own Cloud, and the security and compliance controls they need before they sign. You report to the Head of Product, set direction for the platform, and work alongside the leads for our other product lines. You lead the platform's product managers, including our infrastructure product lead, and you hire and develop the PMs who grow the team. WHAT YOU'LL BE RESPONSIBLE FOR: - You build and lead the platform product team. You decide how to split the area, hire the PMs who own the rest of it, and coach them to own their roadmaps end to end. You set the bar for their work. - You decide what gets built, what gets deferred, and what gets cut. Each quarter you choose between enterprise unlocks that open new markets, cost and performance wins for the long tail of projects, and new capabilities that change what Supabase can run. The priorities are yours, and so is defending them. - You own reliability and security as product surfaces. You set service levels that track what customers experience and hold teams to them. You decide which security and compliance commitments we make to enterprises, and you show customers what it takes to run millions of databases. - You talk to customers across the full spectrum: developers running one small project, startups whose bill is mostly compute and disk, enterprise architects running a network or security review, and partners building on Supabase. - You run the platform's planning. Your PMs write problem statements, requirements and launch metrics before engineering starts. After each launch, you check whether it moved enterprise deal velocity, project economics or platform reliability. - You keep engineering, design and leadership aligned. The platform sits under each Supabase product, region and customer tier. You write down what's coming, why, and in what order, and you raise dependencies before they block anyone. YOU MIGHT BE A GOOD FIT IF YOU: - Have 8+ years of product management experience on developer tools or infrastructure, or have founded a company in this space. You can read an architecture doc and hold your own in a design discussion. - Have built and led a team of product managers. You've hired PMs, grown them into owners of their own areas, and made the hard call when someone wasn't working out. You've led leads who run their own teams. You did it while the product grew from something you could hold in your head to a business where capacity, regions and cost set the limits. - Have shipped cloud infrastructure as a product. You owned at least one of compute, networking, storage, or multi-region and multi-tenant systems yourself, at a cloud, infrastructure or PaaS company. You can judge the tradeoffs: instance sizing and capacity, disk and storage economics, scale-to-zero versus always-on, single-tenant versus shared, and the gap between "works in one region" and "works in twenty." Knowing how enterprises buy and security-review infrastructure (PrivateLink, BYOC, compliance, procurement) is a bonus. - Move fast and use AI to do it. You'd rather ship something imperfect and learn from it. You hand AI the slow parts of the job (research, drafting, synthesising feedback) and spend your time on judgment calls. - Build with what you own. You stand up a read replica, put a custom domain in front of a project, route traffic through PrivateLink and deploy onto BYOC. Your opinions come from using the product. - Work async by default. We're fully remote. You make decisions in writing and move work forward without meetings. WHAT WE OFFER - Fully Remote We hire globally. We believe you can do your best work from anywhere. There are no Supabase offices, but we provide a WeWork membership or co-working allowance you can use anywhere in the world. - ESOP Every team member receives ESOP (equity ownership) in the company. We want everyone to share in the upside of what we’re building together. - Tech Allowance Use this budget to set up your ideal work environment—laptop, monitor, headphones, or whatever helps you do your best work. - Health Benefits Supabase covers 100% of health insurance for employees and 80% for dependents, wherever you are. Your wellbeing and your family’s health are important to us. - Annual Off-Sites Once a year, the entire company gathers in a new city for a week of connection, collaboration, and fun. It’s a highlight of our year. - Flexible Work We operate asynchronously and trust you to manage your own time. You know what needs to be done and when. - Professional Development Every team member receives an annual education allowance to spend on learning—courses, books, conferences, or anything that supports your growth. ABOUT THE TEAM Supabase was born-remote and open-source-first. We believe our globally distributed team is our secret weapon in building tools developers love. - ~400 team members - 60+ countries - 20+ languages spoken - Over $1B raised (including our $500M Series F) - 540,000+ community members We move fast, build in public, and use what we ship. If it’s in your project, we probably use it in ours too. We believe deeply in the open-source ecosystem and strive to support—not replace—existing tools and communities.

Location: Tel Aviv-Yafo, Tel Aviv District, Israel About Aidoc Aidoc is the market leader in healthcare AI and has developed the world's largest clinical frontier model, supporting nearly 50 million patients each year. Aidoc is deployed in more than 2,000 medical centers worldwide. Since our founding in 2016, Aidoc has raised over $500 million and achieved a record number of FDA-cleared solutions. Medical diagnosis is hitting a breaking point, where the number of physicians hasn't kept up with the rapidly growing patient load. This leads to misdiagnosis and treatment delays that result in hundreds of thousands of deaths every year. Aidoc assists clinicians by precisely highlighting diseases directly on medical images, preventing misdiagnosis and ensuring that urgent patients receive the immediate attention they need. About this role Building AI that delivers value in the real world takes more than an algorithm. It requires mastering the data layers the algorithms are trained and evaluated on, including the clinical nuances they carry. We are among the few companies paving the way for methodologies and architectural patterns that don't yet exist in this field. That's the work of the AI Data Development Group, part of Aidoc's AI organization and the data analytics core of our algorithm development process. Our data development achievements sit at the heart of improvements in our AI accuracy and scalability. Within the group, the Data-Dev analyst team is involved at every stage, from early data exploration to confirming an algorithm is ready to scale. We analyze data to inform algorithm design decisions, define the clinical ground truth and metrics behind the algorithms, and assess performance and robustness. Our analyses shape which approaches move forward, in close partnership with algorithm developers, product teams, clinical experts, and operational stakeholders. Responsibilities Own dataset development initiatives, building training and evaluation datasets grounded in clinical ground truth. Translate product and algorithmic questions into defined metrics and data-driven recommendations. Evaluate algorithm performance and robustness, and assess readiness to scale. Drive exploratory analyses that inform algorithm design and development decisions, as well as product ideation, grounded in a deep understanding of clinical workflows and model behavior. Partner with algorithm developers, product, clinical experts, and operational stakeholders to enable data-informed decisions across the algorithm lifecycle. Bring state-of-the-art AI capabilities to the team, raising the standardization, efficiency, and quality of our deliverables. Requirements 5+ years of hands-on data analysis or research experience at a SaaS or technology company. Extensive experience analyzing complex, large-scale datasets with Python and SQL, alongside a proactive, technical approach to applying AI tools and LLMs in analysis and research workflows. Proven ability to turn open-ended product, algorithmic, and stakeholder questions into structured analyses, metrics, and recommendations, moving fluidly between deep research and hands-on execution. Strong ownership and self-management, with a track record of leading projects from problem definition through execution, and prioritizing multiple projects independently. Excellent communication skills and experience working with stakeholders across Product, R&D, and clinical teams. B.Sc. in Engineering or Exact Sciences; M.Sc. or Ph.D. is a major advantage. Familiarity with machine learning algorithms and AI development is a major advantage; experience with medical or clinical data is a plus. Passion for healthcare and for the potential of AI to improve clinical outcomes. Working at Aidoc Our Perks: Be part of something big - using cutting-edge technologies to transform the Healthcare industry (while saving patients’ lives) We work in a hybrid model, with our new offices located at 34 HaMasger Street in Tel Aviv and parking for employees. Amazing and healthy breakfasts and lunches prepared daily by our personal chef! Stocked up kitchen & meal card Wellness: Aidoc employees-only gym, plus Pilates, Yoga, and functional workouts classes. Amazing culture - collaborative, transparent & fun! Attractive compensation package & benefits Aidoc is deeply committed to creating an inclusive workplace, and to the principle of equal opportunity for all individuals. We prohibit discrimination and harassment based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other status protected by law.

Location: United States; Boston, United States; Cambridge, United States; Salem, United States; Lowell, United States; Lynn, United States Intellect Care (Counselling/ Psychotherapy) is a collaborative process to guide, explore and/or resolve personal, social, or psychological problems and difficulties. Counselling is most useful when clients seek tools or techniques to support their mental health. Psychotherapy identifies unhelpful patterns of thinking and behaviours which may limit the client's quality of life or daily activities and equip clients with more helpful and effective ways of thinking, behaving and relating to others. This addresses moderately severe mental health experiences. Intellect Care normally spans up to 60 minutes Why Join Us? Become part of a collaborative network of Clinical Psychologists and Counsellors dedicated to expanding access to quality mental health care. At Intellect, you’ll find a supportive community focused on enhancing lives and helping clients overcome personal challenges. What You'll Do Provide 1-on-1 telehealth/or onsite mental health support for Intellect’s clients Address a range of clinical cases, including depression, anxiety, trauma, schizophrenia, eating disorders, addiction, and more Partner with our internal clinical team to improve the platform and client programs Requirements For Counselors Hold an active Massachusetts Licensed Mental Health Counselor (LMHC) license Be licensed through the Massachusetts Board of Registration of Allied Mental Health and Human Services Professions Hold a Master’s degree in Counseling or a related field Have completed: 60 semester hours of graduate education 3,360 hours of post-master’s supervised experience over a minimum of 2 years Have passed the NCMHCE examination For Psychologists Hold an active Massachusetts Psychologist license Be licensed through the Massachusetts Board of Registration of Psychologists Hold a doctoral degree (Ph.D. or Psy.D.) from an accredited program Have completed: 2 years of supervised experience At least 1 year of post-doctoral supervised practice Have passed: Examination for Professional Practice in Psychology (EPPP) Massachusetts jurisprudence examination Expertise: Skilled in Cognitive Behavioral Therapy or other evidence-based approaches (e.g., Motivational Interviewing, DBT, SFBT) Languages: Proficiency in English and your local language Preferred Background: Prior experience with EAP, adult counseling, or coaching in managerial roles Flexibility: Openness to ocassional onsite work, if necessary Benefits This is more than a job. It's your chance to: Work with a global provider network Broaden your clientele base beyond local users Grow your career outside of sessions through research, content, and webinars Access supervision & CE most EAP's don't provide If you’re ready to make a meaningful impact and be part of a mission-driven team, we’d love to hear from you. Apply today and join us in transforming mental health care!

Location: South Africa; Mexico; Colombia; Poland; Romania; Philippines About Huzzle At Huzzle, we connect exceptional talent with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include fast-growing startups and established businesses in SaaS, MarTech, FinTech, and EdTech. Unlike traditional outsourcing, you’ll be placed directly with a client as a core member of their team—giving you real ownership, career progression, and long-term stability. Role Type: Full-time Engagement: Independent Contractor About the company Our client is a global IT services and consulting firm dedicated to accelerating digital transformation for businesses through comprehensive technology solutions. Specializing in ERP implementation, cloud services, and custom application development, the team supports a diverse international clientele in sectors ranging from retail to utilities. They focus on delivering scalable, future-ready infrastructure and innovative AI-driven data analytics that drive operational efficiency and smart business growth. As a fast-growing company with a strong presence in the UK and India, the team prioritizes a collaborative and customer-focused approach to problem-solving. They are committed to building high-performance environments through specialized consulting in SAP, Oracle, and Microsoft technologies. Candidates joining this team will work on impactful projects that modernize legacy systems and implement cutting-edge cybersecurity and automation tools, making it an ideal environment for those passionate about technical excellence and professional evolution. Job Summary We are looking for a results-driven Sales Development Representative to act as the bridge between complex IT infrastructure solutions and the business pain points of global enterprises. In this role, you won't just be "making calls"; you will act as a consultant, identifying high-potential accounts and articulating the value of cloud, cybersecurity, and AI-driven data solutions to senior decision-makers. This is an ideal opportunity for an independent, mid-level sales professional who thrives in a growth-stage environment and is looking to drive significant revenue impact within the UK and Indian markets. Key Responsibilities Strategic Prospecting: Identify and research high-potential enterprise and mid-market accounts, focusing on decision-makers in IT, DevOps, and Infrastructure. Multi-Channel Outreach: Execute a high-volume outreach strategy including 50–60 cold calls per day, personalized emailing, and LinkedIn networking. Technical Discovery: Conduct initial discovery calls to assess tech stacks, cloud environments, and data center needs using BANT or MEDDPIC frameworks. Solution Mapping: Effectively communicate the value of complex solutions (Servers, Cloud, Storage, Networking, Cybersecurity) to both technical CTOs and non-technical stakeholders. Pipeline Management: Drive a consistent pipeline with a target of 15 qualified meetings per month and a monthly revenue target of £100,000. Full-Cycle Engagement: Manage leads through the qualification process, including closing, upselling, cross-selling, and account management. Market Intelligence: Stay ahead of industry trends like Hybrid Cloud, Edge Computing, and AI to provide expert-led consultations. Requirements Proven track record in an SDR or Sales role within the SaaS or Tech sector. Exceptional verbal and written English skills. Proficiency in Apollo, LinkedIn Sales Navigator, and Microsoft Office is mandatory. Expert-level skills in cold calling, cold emailing, and LinkedIn outreach. Strong ability in lead qualification, account management, and upselling. Ability to work GMT hours (with flexible core overlap) in an offshore capacity. Experience specifically within the IT infrastructure, data center, or cloud services space. Familiarity with bridging technical gaps for enterprise-level clients. Benefits 🌎 Fully remote role with flexible working hours 🚀 Work with high-growth international companies 📈 Clear career progression to Account Executive and beyond 🎯 Performance-based bonuses and incentives 🤝 Direct hire with global clients (not outsourced) 🧠 Ongoing training, mentorship, and sales development support

RELOCATION TO SPAIN About the opportunity We're looking for a Senior Product Designer to join N26's UX team in the Grow and Engage domain. There are several areas within the domain where design strength is being added, and candidates will be matched based on their background and interests. The role involves leading end-to-end design for key parts of the N26 experience used by millions of customers daily. The position reports to the Head of UX and works within a cross-functional team including product, engineering, research, and data partners. About the work The Grow and Engage domain focuses on how customers derive lasting value from N26, covering core product features that drive daily banking habits, recommendations, AI-powered insights, and subscription tiers (Smart, Go, Metal). The role includes designing for the home screen, in-app discovery, and cross-cutting product patterns, with scope to influence current and future product packaging. What you'll do - Own end-to-end design for important workstreams from problem framing through research, exploration, and delivery. - Deliver high-quality UI and interaction design that delights customers and drives conversion. - Define user needs, success criteria, constraints, and tradeoffs before solution development. - Adapt to evolving priorities, knowing when to dive deep or pivot. - Mentor and elevate the design craft of peers through critique and leadership. - Ensure consistency by contributing to and improving the design system and creating reusable patterns. - Use data-informed approaches combining qualitative and quantitative research. - Collaborate closely with product, engineering, research, and data teams to deliver impactful work. - Utilize AI tools fluently for exploration, prototyping, synthesis, and accelerating design tasks. What we're looking for - High personal standards in design output that elevate the team. - System thinking to design holistic product experiences. - Rigorous problem understanding before solutioning. - Ability to ship quickly, prototype to learn, and avoid over-polishing. - Comfort and curiosity with AI tools in design practice. - Ability to provide constructive feedback that improves team thinking. You're a good fit if you have - A strong portfolio demonstrating end-to-end product design on complex consumer products, ideally mobile and at scale. - Experience leading design across multiple workstreams or feature areas. - Experience contributing to a production-scale design system. - Experience grounding decisions in research and data, proactively seeking data when unavailable. - Experience mentoring designers and elevating design craft. - Strong written and verbal communication skills to advocate design decisions to product, engineering, leadership, and customers. How we work - Close collaboration with PM and engineering to develop scalable solutions. - Hands-on leadership where managers continue to design. - AI is integrated into design tooling, prototyping, and product development. - Frequent shipping and learning from live products as well as design tools. What’s in it for you - Career acceleration at a leading European fintech disruptor. - Employee benefits including personal development budget, work from home budget, fitness and wellness discounts, language apps, and public transportation. - Premium N26 bank account subscription for employees and their friends and family. - Additional annual leave days for each year of service. - High autonomy and access to cutting-edge technologies. - Relocation package with visa support for those who need it.

Location: New York City, NY; San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As part of our growing Data Science & Analytics team, you will play an instrumental role in Anthropic's mission of building safe and beneficial AI — this time by driving data-informed decisions across the commercial customer lifecycle. This role sits at the intersection of fast-moving sales operations and rigorous statistical analysis. You will work across multiple segments and products, partnering with analytics engineers, fellow data scientists, and go-to-market leadership to turn complex commercial data into actionable strategy. You will own measurement and analysis for new logo acquisition through activation, expansion, and retention for a rapidly scaling, consumption-based AI platform. You've worked in cultures of analytical rigor before, and you're eager to help shape the norms and best practices of a growing data science function at a pivotal moment in the company's growth. Key responsibilities Define key metrics, build measurement frameworks, and maintain core reporting to evaluate GTM success across segments and products Analyze commercial and user data to surface actionable insights, size opportunities, and influence roadmaps and go-to-market strategy Develop hypotheses and apply rigorous causal inference methods — controlled experiments, synthetic controls — to make clear, actionable recommendations Investigate anomalies, conduct root cause analyses, and provide data-driven guidance on priorities and decisions Build statistical models, optimization frameworks, and simulations to support and automate commercial decision-making processes Present analyses and recommendations to both technical and non-technical stakeholders, including GTM leadership Establish foundational data practices and help scale analytics infrastructure to support rapid product and commercial iteration Minimum qualifications Proficiency in Python, SQL, and data visualization tools Expertise in experimental design, causal inference, statistical modeling, and A/B testing, particularly in high-scale technical environments Demonstrated ability to translate complex data into clear, actionable insights for both technical and business audiences Strong written communication and presentation skills Ability to work effectively in fast-moving, ambiguous environments — comfortable creating structure and driving progress where neither yet exists Preferred qualifications 5+ years of experience in data science or analytics roles A strong track record in multi-segment, multi-product B2B sales or commercial analytics, especially with consumption-based revenue models Experience with AI/ML products, large language models, or developer tools in the AI/ML ecosystem Genuine interest in Anthropic's mission of developing safe and beneficial AI The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $285,000 — $380,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Vancouver, BC At Asana, we believe AI represents the future of work, and APIs are at the heart of how AI connects with the tools where work happens. As a Software Engineer on our API and Developer Platform team in Vancouver, you will help make our developer platform come to life for AI, owning the gateways that enable data flow into and out of Asana. You’ll use your engineering experience to design intuitive and secure interfaces, partner with other product teams to enable new API features, and improve the holistic experience for external developers and AI agents. By joining our team, you will contribute directly to an agentic future for the enterprise and collaborate within a high-performing engineering environment. This role is based in our Vancouver office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do and the teams with which you partner. If you're interviewing for this role, your recruiter will share more about the in-office requirements. What you’ll achieve Shape and own the guidelines for what constitutes excellent API design, partnering with internal engineering teams to enable them to implement best practices in a self-service manner. Collaborate with Product Management, Design, Data Science, and User Research to gain a deep understanding of developer needs and translate them into elegant, scalable platform solutions. Contribute across the full stack using Scala and Typescript to continuously improve the experience for external developers and AI agents. Drive code quality and maintainability by developing clean, beautiful code and proactively leaving systems better than they were found. Partner with cross-functional stakeholders to influence the roadmap for our Model Context Protocol (MCP) server. About you 6+ years of experience working within large, complex codebases. 1 or more years of experience building public-facing API products or developer platforms. Excellent communication and collaboration skills for partnering effectively with cross-functional teams. Ability to learn quickly and comfortably transition between different areas of a large codebase. A strong appreciation for productivity and a deep care for helping teams—including your own—collaborate more effectively and efficiently. Excitement to contribute to an inclusive culture where every team member is encouraged to bring their whole self to work. Demonstrates curiosity about AI tools and emerging technologies, with a willingness to learn and leverage them to enhance productivity, collaboration, or decision-making. At Asana, we're committed to building teams that include a variety of backgrounds, perspectives, and skills, as this is critical to helping us achieve our mission. If you're interested in this role and don't meet every listed requirement, we still encourage you to apply. What we’ll offer Our comprehensive compensation package plays a big part in how we recognize you for the impact you have on our path to achieving our mission. We believe that compensation should be reflective of the value you create relative to the market value of your role. To ensure pay is fair and not impacted by biases, we're committed to looking at market value which is why we check ourselves and conduct a yearly pay equity audit. For this role, the estimated base salary range is between $176,000 - $200,000 CAD. The actual base salary will vary based on various factors, including market and individual qualifications objectively assessed during the interview process. The listed range above is a guideline, and the base salary range for this role may be modified. In addition to base salary, your compensation package may include additional components such as equity, sales incentive pay (for most sales roles), and benefits. If you're interviewing for this role, speak with your Talent Acquisition Partner to learn more about the total compensation and benefits for this role. We strive to provide equitable and competitive benefits packages that support our employees worldwide and include: Mental health, wellness & fitness benefits Career coaching & support Inclusive family building benefits Long-term savings or retirement plans In-office culinary options to cater to your dietary preferences These are just some of the benefits we offer, and benefits may vary based on role, country, and local regulations. If you're interviewing for this role, speak with your Talent Acquisition Partner to learn more about the total compensation and benefits for this role. #LI-Hybrid #LI-HC1 About us Asana is a leading platform for human + AI collaboration. Millions of teams around the world rely on Asana to achieve their most important goals, faster. Asana has been named to Fortune's Best Workplaces for 7+ years and recognized by Fast Company, Forbes, and Gartner for excellence in workplace culture and innovation. We offer an exceptional office-centric culture while adopting the best elements of hybrid models to ensure that every one of our global team members can work together effortlessly. With 13+ offices all over the world, we are always looking for individuals who care about building technology that drives positive change in the world and a culture where everyone feels that they belong. We believe in supporting people to do their best work and thrive. Our goal is to ensure that Asana upholds an environment where all people feel that they are respected and valued, whether they are applying for an open position or working at the company. We provide equal employment opportunities to all applicants without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by law. Join Asana’s Talent Network to stay up to date on job opportunities and life at Asana.

Location: Home Based - APAC Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of global distributed collaboration, with 1100+ colleagues in 75+ countries and very few office based roles. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution. The company is founder led, profitable and growing. This is an opportunity for an Linux Engineer/Administrator with a passion for Linux and Customer Success to build a career with Canonical and support the technical needs of customers leveraging Ubuntu and open source products. If you have a passion for technology and an eagerness to learn, then you will enjoy working with some of the best people in the industry at Canonical. You will be accountable for delivering an outstanding technical support experience on the full Desktop and Server technical stack at Canonical. From problem qualification to full resolution, you will own and manage your cases. When needed, you will transfer your cases to your colleagues or involve senior engineers. Your day to day job is to provide technical expertise, be an excellent communicator and a service-oriented professional. Every day you will have to make judgement calls to prioritise customer issues and maximise your effectiveness. You will also need to set time aside to learn about our new products and technologies and evolve as a professional. You will participate in various training sessions, team gatherings and Company events. Location: Home-based in Singapore. The role entails Investigate issues reported by customers by researching and escalating issues Work to resolve complex customer problems related to Canonical’s portfolio of products. Ownership of results: Ensure that each support case owned by you is handled according to our Service Level Agreement (SLA) with the highest possible customer satisfaction by setting the right expectations and fulfilling your commitments. Engage directly with customers and work collaboratively by phone, ticketing system, and remote sessions to resolve their issues. Participate in a regular weekend working rotation. Contribute new knowledge base articles and maintain existing articles, ensuring shared knowledge and lessons learned are available to customers. Understanding Ubuntu development process to be able to set customer expectations correctly on timeline for a fix. What are we looking for in you Professional written and spoken English with excellent presentation skills Exceptional academic track record from both high school and university Undergraduate degree in a technical subject or a compelling narrative about your alternative chosen path Track record of going above-and-beyond expectations to achieve outstanding results Experience with Linux troubleshooting (collecting logs and stack traces, fine-tuning by editing configuration files) Experience with Linux integration with other environments (authentication/directory services, network file systems, etc.) Troubleshooting experience: Linux integration with other environments (authentication/directory services, network file systems, etc.). Ability to navigate effectively stack traces and logs, and advise on next steps. Solid understanding of OS and Application level bugs and when to escalate to the correct team. Ability to learn quickly, thrive on change and handle the pressure of a customer facing job Programming fundamentals in any language. Ability to travel internationally twice a year for company events up to two weeks long Extensive Customer support experience is key: Customer needs are top priority. Communicate professionally, emphatically, clearly and set the right expectations. What we offer colleagues We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognise outstanding performance. In addition to base pay, we offer a performance-driven annual bonus or commission. We provide all team members with additional benefits, which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally. Distributed work environment with twice-yearly team sprints in person Personal learning and development budget of USD 2,000 per year Annual compensation review Recognition rewards Annual holiday leave Maternity and paternity leave Employee Assistance Programme Opportunity to travel to new locations to meet colleagues Priority Pass, and travel upgrades for long haul company events About Canonical Canonical is a pioneering tech firm at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT and the cloud, we are changing the world of software. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence - in order to succeed, we need to be the best at what we do. Most colleagues at Canonical have worked from home since its inception in 2004.​ Working here is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game. Canonical is an equal opportunity employer We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration.

Location: Yerevan Workplace: OnSite About the role Teza is a systematic trading firm building quantitative strategies across multiple asset classes. We are looking for a DevOps Engineer to own and evolve our infrastructure platform — the systems that our quants, developers, and traders rely on every day. Our infrastructure team is at an inflection point. We have a working platform that supports active trading and research, and we are now investing in making it more robust, observable, and developer-friendly. The successful candidate will have significant influence over the direction of our infrastructure — shaping tooling choices, establishing standards, and building systems that scale with the firm. Location Yerevan, Armenia, Austin, Texas or London, UK What We're Building Toward As a team, we are working toward the following goals. You will play a central role in defining the approach and driving execution: - Full-stack observability** across all internal services — unified metrics, centralized logging, distributed tracing, and actionable alerting — so that engineers and traders have clear, real-time visibility into system health and performance. - Reliable, self-service compute orchestration** spanning Slurm (HPC/ML workloads), Hadoop (batch data processing), and Airflow (workflow scheduling) — enabling researchers and data engineers to run workloads at scale without infrastructure bottlenecks. - Mature secrets management** for trading credentials, API keys, certificates, and service-to-service authentication — with rotation policies, auditing, and tight integration into deployment workflows. - Unified release pipelines** that bring consistency to how diverse applications — trading strategies, data pipelines, and real-time trading systems — move from development to production, each with their own build, test, and deployment needs. - A well-maintained platform foundation** where shared services — identity management, GitHub Actions runners, VPN, observability tooling — stay current and reliable without disrupting active trading. - Strong security posture** across production and research environments — network segmentation, access controls, vulnerability management, and compliance — that evolves alongside the platform rather than being bolted on after the fact. Requirements - Experience building and operating internal platform services for development teams (CI/CD, compute, monitoring, developer tooling) — not just consuming them. - Strong proficiency in Linux systems administration and container orchestration (Docker, Kubernetes, or similar). - Deep understanding of the software development lifecycle and how infrastructure supports engineering teams — from local development through CI to production deployment. - Familiarity with ML and data-intensive workflow requirements: GPU scheduling, large dataset access patterns, experiment tracking, and reproducible compute environments. - Proficiency with at least one major cloud provider (AWS, GCP, or Azure) including networking, IAM, and managed services. - Experience designing and operating hybrid infrastructure — cloud, on-premises, and colocation environments — with an understanding of the tradeoffs between them. - Hands-on programming ability in Python or another scripting language, sufficient to build tooling, automation, and infrastructure-as-code — not just run playbooks. - Solid understanding of core network protocols and services: DNS, LDAP, SMTP, TLS, HTTP, and SSH. - Practical knowledge of infrastructure security: firewall management, access control models (zero-trust, bastion hosts), vulnerability scanning, patch management, and audit logging. Nice to Have - Experience in a trading firm or other environment with strict uptime and latency requirements. - Familiarity with infrastructure-as-code tools (Terraform, Pulumi, Ansible). - Experience with log aggregation and SIEM systems. - Understanding of compliance frameworks relevant to financial services. Benefits - Health, visual and dental insurance - Flexible sick time policy

Location: Cardiff, London or Remote (UK) 🚀 We’re on a mission to make money work for everyone. We’re waving goodbye to the complicated and confusing ways of traditional banking. After starting as a prepaid card, our product offering has grown a lot in the last 10 years in the UK. As well as personal and business bank accounts, we offer joint accounts , accounts for 16-17 year olds , a free kids account and credit cards in the UK, with more exciting things to come beyond. Our UK customers can also save , invest and combine their pensions with us. With our hot coral cards and get-paid-early feature, combined with financial education on social media and our award winning customer service, we have a long history of creating magical moments for our customers! We’re not about selling products - we want to solve problems and change lives through Monzo ❤️ 📍London or Remote (UK) | 💰£100,000 - £133,000 + Benefits | We’re looking for several Product Marketing Leads to set the market intelligence and product strategy for individual product Collectives. At Monzo, Product Marketing is a global product-market fit discipline rather than a GTM discipline. We’re embedded in squads with PMs, Designers and User Researchers, shaping products and propositions by acting as the voice of the market (UK, Ireland, Spain and future markets). We then partner closely with Integrated Marketing, who lead marketing strategy and execution, to bring those propositions to customers. Together, we aim to build and market category-leading products. If that’s your flavour of product marketing, Monzo is for you. This is a player/coach role. You'll own Product Marketing for a Collective: understanding customers, shaping product strategy, defining positioning, and guiding how launches land in the market. If you love influencing what gets built as much as how it's communicated, you'll feel at home here. Where you could join: Wealth is building the future of how people grow their money: helping millions of customers save, invest, and plan for retirement with the same simplicity and trust they expect from their current account. It spans Savings, Investments, Pensions, Insurance, and brand new kinds of wealth-building experiences. This is a role for someone who wants to challenge how traditional wealth products work to make growing money (finally) feel simpler and more useful for everyday customers. MonzOS is the intelligence layer of Monzo: an AI-powered operating system that helps customers find the right product, insight or action at the right moment. It brings together personalisation, recommendations, search and in-app discovery to make Monzo feel more useful every time someone opens the app. This is a role for someone who is excited by the challenge of making Monzo feel simple, trusted and indispensable in people’s financial lives. EU is building Monzo for millions of customers across Europe, taking what people love about Monzo in the UK and making it work brilliantly in new markets. This role will lead consumer market insight and competitor discovery for new countries, while supporting growth in already-live markets like Ireland and Spain. This is a role for someone who loves figuring out how to win a market: turning customer insight, competitor analysis and local context into practical, provocative choices for product and marketing. Key Responsibilities You and your team will… Set strategy for multiple categories. You'll own a one-year product marketing strategy for a complex, multi-product Collective. You will work to define how Monzo wins in multiple categories with multiple products over time. Set the market intelligence agenda. You'll decide what we need to understand about our customers, competitors, and the market. You’ll identify and size opportunities, and build the frameworks other teams use to prioritise and respond. Shape what gets built. You'll use market intelligence to shape product strategy across multiple areas, bringing a perspective that changes what we build and in what order. You'll sit alongside Product leadership, driving commercial outcomes through product differentiation. Define positioning that moves the business. You'll ensure every product starts with a customer problem, differentiated positioning, and a proposition worth talking about. You’ll demonstrate that positioning will shift customer perception and move revenue at scale. Own how we go to market. You'll decide when products launch, with what mechanic, and in what order, so launches across the Collective add up to more than a run of releases. You'll give Integrated Marketing a brief sharp enough that they never have to guess, then feed what the market tells you back into the proposition. Raise the bar for Product Marketing. You'll define what great looks like through high standards, coaching, feedback, and better systems. You'll improve how PMM works by embedding AI into our workflows, tools, and playbooks. On the manager track, you'll also be accountable for the development, performance, and careers of a small team. Great PMMs come from all sorts of places. This is for you if: You think beyond a single product. You're comfortable owning strategy across multiple products and categories, where work spans multiple squads and the decisions have business-wide implications. You own the hardest calls in your domain. You're trusted to make high-stakes positioning and strategy decisions independently, and you're right often enough that Product and Marketing leadership seek your judgement. You're comfortable making difficult trade-offs between commercial needs, customer experience, and competitive urgency when the right answer isn't obvious. You bring senior people with you. You build consensus around difficult decisions, influence senior stakeholders across disciplines, and create clarity out of ambiguity. People look to you for guidance when the path forward isn't obvious. You're a player/coach. You still want to do the hardest strategic work yourself while coaching others through feedback, mentoring, and high standards. Whether or not you're a people manager, your impact is visible in the growth of the people around you. The Interview Process Our interview process involves three main stages: Initial Call (45mins) Case Study Presentation (1hour) x2 final interviews via Google Meet (45mins for each interview) This process should take around 3-4 weeks - your schedule is really important to us, so we promise to be as flexible as possible! We have some guidelines on using Artificial Intelligence (AI) to ace an application and interview at Monzo. You can read them here. You’ll hear from us throughout the application process, but if you’ve got any questions, please reach out to hiring@monzo.com. You can also use this email address to let us know if there’s anything we can do to make the process easier for you because of disability, neurodiversity or anything else. What’s in it for you: £100,000 - £133,000 as a base salary This role will be based out of our London office next to Liverpool Street station in a hybrid approach of office based and home working, or remotely within the UK 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. Learning budget of £1,000 a year for books, training courses and conferences And much more, see our full list of benefits here We’ll only close this role once we have enough applications for the next stage. Please submit your application as soon as possible to make sure you don’t miss out. #LI-JB1 #LI-REMOTE Equal opportunities for everyone Diversity and inclusion are a priority for us and we’re making sure we have lots of support for all of our people to grow at Monzo. At Monzo, we’re embracing diversity by fostering an inclusive environment for all people to do the best work of their lives with us. This is integral to our mission of making money work for everyone. You can read more in our blog , 2026 Diversity and Inclusion Report and 2025 Gender Pay Gap Report. We’re an equal opportunity employer. All applicants will be considered for employment without attention to age, ethnicity, religion, sex, sexual orientation, gender identity, family or parental status, national origin, or veteran, neurodiversity or disability status. If you have a preferred name, please use it to apply. We don't need full or birth names at application stage 😊

Location: Hong Kong About Hex Trust Hex Trust is a fully-licensed digital asset financial institution building the infrastructure institutions use to operate in crypto. Custody, staking, capital markets, investment solutions, payments, fiat ramping, RWAs, and tokenization — all on one regulated platform. Founded in 2018, we're licensed across multiple jurisdictions (HK, SG, Dubai, SVG). As institutional capital moves into crypto and the RWA and payments narratives accelerate, we're one of the few players who can serve institutions as a fully-regulated, one-stop-shop partner. We serve 600+ institutional clients globally: funds, family offices, banks, foundations, token issuers, payment firms, OTC desks, and corporates. We're well-capitalized, growing consistently, and built on a sustainable model. We operate 24/7 from hubs in Hong Kong, Singapore, Dubai, and Vietnam. You'll work alongside a senior commercial team, learn how to own real institutional and client relationships, and get exposure to the most active parts of the market. Position Summary We are looking for a highly motivated and ambitious candidate to join us on our clients desk. We set the highest standards for ourselves and achieve results, we will expect the ideal candidate to be able to do the same. During your internship period you will shadow and interact with Client team members and learn about the intricacies of a market that never sleeps. We thrive in a work hard play hard culture. Duties & Responsibilities Support the end-to-end sales process: lead qualification, CRM updates, proposal preparation, and follow-ups Build and maintain accurate customer database Prepare sales reports, dashboards, and pipeline reviews using Excel and BI tools (Looker / Tableau is a plus) Conduct market research and competitor analysis to support territory planning Assist in drafting client-facing materials: pitch decks, one-pagers, pricing quotes Coordinate sales events, client meetings, and demo schedules Collaborate with Marketing and Product teams on campaign-to-lead handoff Ad-hoc projects to improve sales efficiency (e.g., process documentation, automation ideas) Requirements 6-month commitment — we're not considering part-time or shorter-term arrangements Currently enrolled in or recently completed an undergraduate degree (any discipline; Business, Marketing, Economics, Data Analytics, STEM preferred) Strong command of written and spoken English Advanced Excel skills (pivot tables, VLOOKUP, charts); knowledge of Salesforce or other CRM is a strong advantage Detail-oriented, proactive, and able to manage multiple tasks in a fast-moving environment Excellent communication and interpersonal skills Immediate availability or availability within 2–4 weeks is preferred Benefits As one of the leading Web3 innovators, Hex Trust offers a front-row seat in the ever-changing blockchain & crypto industry. We genuinely believe that people are our greatest asset, and invest heavily so they’re best prepared to support our mission to unlock ownership in decentralized markets! You will be joining a company that is always committed to creating a supportive & inclusive environment that promotes personal and professional growth that furthers your success and drives innovation, collaboration, and passion in the blockchain space. At Hex Trust, we are proud of our H.E.X. culture: Heart Empowerment Xcellence Join us at Hex Trust and not only can you look forward to working with blockchain professionals to build the decentralized future. Hex Trust is an equal-opportunity employer devoted to diversity and inclusion in the workplace. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status or disability status.