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Location: United Kingdom; Spain; Netherlands; Switzerland; France; Italy Step into a role where science meets strategy and your expertise shapes the future of drug development. As a Director, Pharmacometrician, you’ll lead high-impact modeling and simulation efforts within a dynamic Clinical Pharmacology, Modeling and Simulation (CPMS) environment. You’ll guide teams, mentor pharmacometricians, and provide strategic insight to clients at key development milestones. This role also offers the opportunity to represent clients in interactions with regulatory agencies. If you thrive on collaboration and solving complex scientific challenges, this is your chance to make a meaningful impact. About the role This role combines scientific leadership and strategic impact, leading population PK analyses while developing innovative approaches to improve efficiency and accuracy. You will design, analyze, and interpret clinical pharmacology studies, provide strategic guidance to clients, and contribute to regulatory documents and agency interactions. In addition, you’ll foster client relationships, support business development, and stay at the forefront of PK/PD advancements to drive continuous improvement. Your main responsibilities will include but not limited to: Lead and conduct population PK analyses using advanced modeling tools and methodologies Develop and implement innovative approaches to enhance the efficiency and accuracy of PK analysis Design, analyze, and interpret clinical pharmacology studies (renal, hepatic, TQT, ADME, DDI, BE/BA, SAD, MAD, etc.) and provide guidance to optimize pharmacokinetic sampling and dosing strategies Provide strategic guidance to clients, owning deliverables and developing clinical pharmacology plans Author and review PK reports and clinical pharmacology sections of regulatory documents Represent clients in regulatory interactions and contribute to business development and relationship management Requirements About You If you are a driven clinical pharmacology professional with 6–10 years of experience in drug development and pharmacometrics and you bring sharp analytical thinking and expertise in tools like NONMEM, Pirana, and R to deliver high-impact insights while being client-focused and a natural leader who thrives in fast-paced environments, combining strategic thinking, strong communication, and business acumen to build relationships and drive results, this role is for you. To be successful we are looking for the following traits and behaviors: Life science, healthcare and/or business degree Minimum 10 years of relevant work experience, including experience in drug development, clinical pharmacology, and pharmacometrics Regulatory experience including regulatory report writing essential. Experience with regulatory submissions including INDs, CTAs, regulatory meetings and NDA/BLA/MAA submissions Proficiency in NONMEM, Pirana, and R software preferred Excellent organizational, negotiating and financial skills Benefits About Allucent Our mission is to help bring new therapies to light. When you work at Allucent, that means rolling up your sleeves and applying your unique skill set, expertise, and knowledge to build partnerships with our clients in their pursuit to develop new, life-improving treatments. If you're passionate about helping customers develop new pharmaceuticals and biologics; have an entrepreneurial spirit; and ready to join other science, business, and operations leaders, we would love to get to learn more about how we can help each other grow. Together we SHINE. Find more information about our values. Benefits of working at Allucent include: Comprehensive benefits package per location Competitive salaries per location Departmental Study/Training Budget for furthering professional development Flexible Working hours (within reason) Opportunity for remote/hybrid* working depending on location Leadership and mentoring opportunities Participation in our enriching Buddy Program as a new or existing employee Internal growth opportunities and career progression Financially rewarding internal employee referral program Access to online soft-skills and technical training via internal platforms Eligibility for our Spot Bonus Award Program in recognition of going above and beyond on projects Eligibility for our Loyalty Award Program in recognition of loyalty and commitment of longstanding employees Apply now! If you are interested in this role please apply through the button or for more information reach out to Demetria Eggleston at Demetria.eggleston@allucent.com Salary: United Kingdom: £82,000K-111,000K Disclaimers: *Our policy encourages a dynamic work environment, prescribing a minimum of 2 days in office per week for employees within a reasonable distance from one of our global offices . “The Allucent Talent Acquisition team manages the recruitment and employment process for Allucent (US) LLC and its affiliates (collectively “Allucent”). Allucent does not accept unsolicited resumes from third-party recruiters or uninvited requests for collaboration on any of our open roles. Unsolicited resumes sent to Allucent employees will not obligate Allucent to the future employment of those individuals or potential remuneration to any third-party recruitment agency. Candidates should never be submitted directly to our hiring managers, employees, or human resources.” #LI-Remote #LI-Hybrid #LI-DE

Location: Lagos, Nigeria Who We Are We’re a passionate team determined to challenge the status quo and make financial inclusion count for the millions of under-banked individuals and small business owners in Nigeria. We provide loans, savings, and fixed deposit solutions to our customers. Our vision is to be the most convenient lending company, delivering outstanding service experience. The Role Are you inherently curious about our customers? Do you constantly ask “why” behind the data? The Market Intelligence & Insights team is expanding, and we are looking for a highly analytical and customer-obsessed team member to join us as a Market Intelligence & Insights Analyst. In this role, you will work directly with the MI&I Manager to uncover the trends, behaviors, and competitive forces shaping the Nigerian fintech landscape. No prior formal market research experience is required. We will teach you the methodologies, tools, and science of research. What you need to bring is a deep understanding of the business, a passion for solving problems, and an eagerness to learn both quantitative (numbers-driven) and qualitative (people-driven) research. What You Will Do • Assist in the design, scripting, and deployment of customer surveys to measure satisfaction, product usage, and market trends • Help organize and eventually conduct customer interviews, focus groups, and usability tests to understand the “why” behind customer behaviors • Learn to analyze raw data, including survey results and internal metrics, to identify patterns and translate them into actionable insights • Monitor the Nigerian lending and fintech landscape to track competitor products, campaigns, and market positioning • Co-create visually engaging and easy-to-understand reports and presentations for cross-functional teams including Product, Marketing, and Management • Support end-to-end research projects that influence business decisions and strategy Requirements What You Bring Experience & Background • Experience in Customer Experience, Data Analytics, Product, Operations, or related areas is an advantage • Strong understanding of the company’s products, customer base, and operations • No prior formal market research experience is required Skills & Competencies • Insatiable curiosity and a strong desire to understand customer behaviour and market trends • Analytical empathy with the ability to connect data to real customer experiences • Strong written and verbal communication skills with the ability to simplify complex ideas • Strong business acumen and problem-solving ability • High attention to detail and strong organizational skills • Comfortable with basic data manipulation tools such as Excel or Google Sheets • Eagerness to learn quantitative and qualitative research methodologies This Role Is Ideal for You If: • You enjoy asking questions and uncovering insights behind customer behaviour • You are analytical but also customer-focused • You enjoy learning and developing new strategic skills • You are excited about influencing business decisions through research and insights You May Not Enjoy This Role If: • You prefer routine work without exploration or analysis • You struggle with interpreting data or identifying patterns • You are uncomfortable communicating insights or presenting findings • You are not interested in understanding customer behaviour or market dynamics Benefits What’s In It For You: • Opportunity to transition into a strategic, insight-driven role within the business • Hands-on mentorship and exposure to market research methodologies • Opportunity to build highly valuable skills in consumer psychology, data analysis, and market strategy • Exposure to cross-functional teams and business decision-making processes • The chance to directly influence future products, campaigns, and customer experience initiatives • Competitive compensation and growth opportunities within a fast-paced fintech environment

Location: San Francisco, CA • New York, NY • United States Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! As a Security Scientist, you will leverage your data analysis skills and help identify and drive impactful projects to improve the safety and security of Figma's product, platform, and our IT systems. The mission of the Figma Security team is to help Figmates ship the most secure and safe product to our users. We are looking for security scientists with a strong grasp of security and anti-abuse fundamentals. You will partner closely with teams in Security Engineering as well as teams across the company to focus on systemic security and safety improvements and risk reduction. You will also apply your security expertise and analytical skills to support and participate in security design reviews and consulting, incident response, and risk management. This is a full time role that can be held from one of our US hubs or remotely in the United States. What you'll do at Figma: Collaborate cross-functionally across the company to understand existing security and anti-abuse problems and work with engineering, product, data science, and other teams on solutions Understand attacker and user behavior on the Figma platform and inside Figma through creation of new datasets, metrics, experimentation, etc., and guide strategy and decision making Build detections, tune signal quality, and measure coverage across Figma's products, platforms, and internal systems, turning attacker behavior into durable, data-driven detections Lead and support security investigations, developing the datasets, tooling, and analysis that help us scope incidents, understand root cause, and reduce time to detect and respond Translate threat intelligence into action, operationalizing intel on relevant threat actors and techniques to prioritize detection coverage, harden high-risk surfaces, and guide security strategy Conduct investigations and design reviews to identify current and new attack vectors against Figma products and services Advocate for security and secure practices throughout Figma We'd love to hear from you if you have: Strong understanding of real-world security, anti-abuse, and detection and response challenges Fluency in SQL, with proficiency in Python, R, or a similar scripting language Experience working with distributed data processing systems and frameworks such as Hive, Redshift, Presto, Snowflake, or Spark Strong knowledge of statistical methods and experimental design Excellent judgment and creative problem-solving skills While it's not required, it's an added plus if you also have: A self-starting mindset along with strong communication and collaboration skills At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you're excited about this role but your past experience doesn't align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. Pay Transparency Disclosure Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), market demands, and specific work location. Figma offers equity to employees, as well as a competitive package of additional benefits, including health, dental, and vision coverage; retirement benefits with company contributions; parental leave and reproductive or family planning support; mental health and wellness benefits; and paid time off. Figma provides paid sick leave, holidays, and other leave benefits in compliance with applicable federal, state, and local laws, including the requirements of the Washington Minimum Wage Act and related regulations. Exempt employees are eligible for employer‑provided paid flexible PTO in addition to flexible paid sick leave. PTO is subject to manager approval. Additional benefits may include company recharge days, cell phone and home internet reimbursements, and a number of lifestyle spending accounts. Figma also offers sales incentive compensation for most sales roles and an annual bonus plan for eligible non-sales roles. All compensation and benefits are subject to applicable plan terms and may be modified by Figma at any time, consistent with applicable law. Annual Base Salary Range: $140,000 — $348,000 USD At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an equal opportunity workplace - we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status , or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to accommodations-ext@figma.com . These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities. Examples of accommodations include but are not limited to: Holding interviews in an accessible location Enabling closed captioning on video conferencing Ensuring all written communication be compatible with screen readers Changing the mode or format of interviews To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding. By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with Figma's Candidate Privacy Notice . Application limits: To help candidates focus on the opportunities most relevant to their skills and experience, Figma limits the number and frequency of applications. These limits apply to all roles: Candidates may submit up to 5 applications during any rolling 30-day period. Candidates may not reapply to the same role while an application is active or within 90 days of receiving a rejection. Once the applicable days has passed, candidates are welcome to apply again.

Location: EMEA+ Time Zone (UTC 0:00~UTC+08:00); APAC; Americas Time Zone (UTC -07:00 ~ UTC-04:00) Workplace: Remote BILLING & ACCOUNTS RECEIVABLE ANALYST (SAAS) 🌍 Where do we hire from? Check that your country appears on this page https://docs.google.com/document/d/1bzBZ38P6zt02s96S9OsF8MnM1tq1JccB-g75gcnKpPw/edit?usp=sharing. For this role, you’ll have at least 5 hours daily overlap with our UK-based Finance team. Hi there, I'm Rene Pavlides, Head of Finance at TestGorilla. I’m excited to share more about the Billing & Accounts Receivable Analyst role and our team. ABOUT TESTGORILLA At TestGorilla, we're on a mission to place 1 billion people in their dream jobs. To democratize opportunity, we’re building the world's leading skills-based talent discovery platform - one that replaces reliance on resumes with scientific validation of what people can truly do. Founded as a 100% remote company in 2020, our global team is united by high standards, a lot of heart, and a relentless drive to conquer new technological frontiers. We’re all AI-fluent builders who care deeply about replacing bias with fairness. After empowering thousands of companies to hire smarter and faster, we’re now unlocking the next phase of our scale-up journey - where you'll play an instrumental role in creating a world where skills matter most! ABOUT THE ROLE As our Billing & Accounts Receivable Analyst, you'll own customer billing, accounts receivable and collections for our subscription business. You'll investigate invoice and payment discrepancies, resolve them directly with customers, reconcile billing and payment records against the ledger, and fix the processes that keep causing them. You'll join a lean, three-person, AI-empowered Finance team, working directly with our Head of Finance and Senior Financial Controller, with lasting and broad ownership from day one. Billing, AR, collections and reconciliation are core, permanent responsibilities. What grows is the build side. As you learn our systems and reporting definitions you'll take ownership of MRR/ARR reporting, and we'll expect you to automate the manual workflows behind it rather than maintain them. If you'd rather fix the process than work the queue, that's the part of this job that gets bigger. RESPONSIBILITIES In this role, your responsibilities will include: - Upholding TestGorilla's behaviors and fostering an inclusive, supportive culture. - Owning customer billing end to end, including invoicing, subscription changes, payment queries, refunds, failed payment recovery, credit notes and corrections within agreed approval limits, and working with Customer Success on complex or sensitive billing cases. - Owning accounts receivable, collections and dunning (via Upflow), resolving failed payments and billing disputes directly with customers. - Getting to the root cause of recurring billing issues and fixing the underlying process, rather than just resolving individual cases as they come up. - Owning reconciliations across billing, payments, subscription reporting and the ledger, explaining timing and definition differences, and producing MRR/ARR movement reporting and analysis that helps Finance understand what has changed and why. - Improving and introducing Finance automations around AR, billing and reporting, and moving routine work towards exception-based processing. - Supporting billing platform, pricing and packaging changes from a Finance perspective: defining requirements, testing outcomes and monitoring exceptions, and partnering with Product and Engineering when a technical change is needed. WHAT YOU'LL BRING We're looking for someone who: - Is passionate about TestGorilla's mission to help one billion people find their dream jobs. - Has excellent written and verbal communication skills in English. - Thrives in a high-autonomy, async-first, remote-only environment. - Has personally owned customer billing and AR or collections, including investigating exceptions and following issues through to resolution. - Has personally resolved complex customer billing or payment issues directly with customers. - Has run customer billing in a subscription or other recurring-revenue business, and is hands-on with a subscription billing platform such as Chargebee, Zuora, Recurly, Stripe Billing, Maxio, Paddle or similar. - Is skilled at reconciliation, and able to independently work through why two financial or customer datasets don't agree. - Has strong Excel or Google Sheets skills. - Is comfortable using AI and automation to reduce manual work, and can point to a recurring Finance process they personally improved or automated. Most people in this role will have at least four years of relevant experience. We haven't set an upper limit, because we care far more about what you've owned and how you've progressed than the number of years. We seek diversity and encourage applications from everyone, even if your experience doesn't exactly match the description. Studies show that women and underrepresented groups can be hesitant to apply unless they meet every requirement - let's buck that trend! BONUS SKILLS While these skills aren't a requirement, we'd be very interested to hear from you if you have any of the following: - Experience with a subscription billing platform such as Chargebee, Zuora, Recurly, Stripe Billing, Maxio or Paddle. - Experience with a collections platform such as Upflow. - MRR, ARR, churn or subscription-revenue reporting. - SQL or self-service BI tools such as Looker, Metabase, Power BI or Holistics. - Experience building or maintaining automations using tools like Claude, n8n, Zapier, Make or Python. - Multi-currency billing, pricing/packaging changes, or ERP migrations. - A professional accounting qualification. WHAT'S IN IT FOR YOU? Please note: In this role, you’ll be hired as an Individual Contractor. - Global Team: Join a fully remote, mission-driven team from around the world. - Competitive compensation: Receive competitive pay of between €43,440 and €54,300 per year + Share Appreciation Rights (SARs). - Remote & flexible work: Work from almost anywhere*. Enjoy flexible hours and asynchronous work to balance work and life. *Check out the countries we currently hire from here https://docs.google.com/document/d/1bzBZ38P6zt02s96S9OsF8MnM1tq1JccB-g75gcnKpPw/edit?usp=sharing. - Remote work budget: €1,000 available each year, or up to €2,000 from day 1 if you're buying a laptop! - Growth & development: Invest in yourself and your career with a 3.5% L&D budget per year and clear growth opportunities. - Parent/Caregiver support: We provide a caregiver-friendly work environment with paid 8-16 week parental leave and tailored return-to-work approaches. - Work-life balance: Our unlimited and flexible time off policy empowers you to take the time you need to recharge and maintain your well-being. INTERESTED? At TestGorilla, we believe your skills speak louder than your resume. That's why we champion a skills-first approach, using cutting-edge, AI-powered assessments to uncover your true skills and experience match. When you apply, you'll get to experience our platform firsthand by taking an assessment – it's your invitation to shine and show us what you can do! While our platform is powered by AI, every hiring decision is made by humans. Check out our Applicant Privacy document https://docs.google.com/document/d/1-9ao3Njzsdjm_jzrExZzPRVGgBdW3C_GP3B900p6RwE/edit?tab=t.0#heading=h.n34f6s4yss1g to see how we protect your data. Concerned about test anxiety or need help with the assessment? We've got you covered. Please check out our candidate support page https://candidates.testgorilla.com/hc/en-us for any questions. Accommodations are readily available as part of the assessment setup, and requesting support will never impact your application.

Anthropic is an AI safety and research company building reliable, interpretable AI systems like the Claude family of large language models. About the role Prompts specify what Claude does. Evals measure whether it did. The Product Prompt and Eval Design team handles both for product design: the system prompt greeting new users, tool descriptions deciding whether Claude searches, instructions maintaining quality, and evals testing all of it. The role focuses on building evals that check prompts, the harness running them, and tools enabling designers to do this work independently. It involves close collaboration with surface owners, engineers, and prompt engineering teams during model releases. Key responsibilities: — Write and revise prompts behind Claude's tools, features, and behaviors on product surfaces; test, fix, ship, and confirm prompts. — Build graders to validate prompt fixes and rerun on new models; automate evals from designers' rubrics and analyze transcripts. — Develop visual, low-code eval tools for designers without engineering help: assemble comparison sets, convert rubrics into graders, compare prompt variants, and present results. — Observe designers using tools and simplify them. — Support model releases by testing surfaces, writing prompt fixes and migrations, and creating prompts for new features. — Establish and scale the eval harness to test 50-100 tools with reliable settings, maintain eval stability across models, and diagnose regressions. — Package issues unfixable by prompting for training, including graders, human-feedback questions, and good/bad pairs. Minimum qualifications: — Production-quality Python. — Experience building and maintaining evaluation pipelines for LLM products: graders, rubrics, comparison sets, regression suites, and their orchestration. — Experience creating internal tools with user-friendly interfaces for non-coders. — Experience setting up test harnesses, sandboxing tool calls, and stabilizing settings for comparable runs. — Experience shipping prompts or working closely with prompt shippers, understanding prompt failures across models. — Ability to read transcripts beyond scores. Preferred qualifications: — Experience within a model-launch cycle. — A/B testing experience linking offline evals to online outcomes. — Front-end or notebook-to-app experience and insights on eval result legibility. — Experience converting product rubrics into training signals: graders, human-feedback questions, or preference pairs. — Concern for Claude's behavior for users, beyond metric changes. Logistics: — Minimum education: Bachelor’s degree or equivalent. — Location-based hybrid policy: at least 25% office presence expected. — Visa sponsorship available with legal support. Anthropic values diversity and encourages applications from underrepresented groups. The company emphasizes AI safety and ethical implications, fostering a collaborative environment focused on impactful AI research. Compensation: — Annual salary range: $305,000 - $385,000 USD. Work location: — Hybrid in San Francisco or New York offices.

Location: Hamburg adjoe builds the technologies behind mobile apps growth and monetization. adjoe Ads is our programmatic in-app advertising platform that seamlessly connects advertisers and publishers through direct integration of our Android and iOS SDKs. Every ad decision happens in under 200ms across 10 million daily users, powered by real-time bidding algorithms and user quality prediction models that match the right ad to the right user at the right moment. Where 50 Billion Daily Predictions Begin The User Experience team is the origin point of adjoe Ads. Everything the system knows about a user, every prediction the ML models make, every bid placed in an auction. It all starts with code this team ships. The team owns two responsibilities. On the SDK side, a native Kotlin and Swift code runs inside hundreds of publisher apps. It participates in 120 million daily auctions, renders ad creatives across multiple formats, and captures the behavioral signals that power 50 billion predictions per day. The constraint that defines this work: you're executing inside someone else's app, on someone else's device, with zero tolerance for instability. Every ad impression has to feel native and fast to the user. On the analytics side, the dashboards, investigation tools, and data frameworks that turn raw data into decisions: real-time revenue performance across active campaigns, infrastructure cost visibility, and data quality assessments. If a number matters to the business or to engineering, this team makes it accessible. Your Mission & Who We Are Looking For: - Auction & Marketplace Analytics: You will monitor core ad exchange KPIs—including bid rates, win rates, timeout rates, eCPM, and render rates—and run deep dives to uncover bidding patterns and supply path optimization (SPO) opportunities. We are looking for someone with 2–3 years of experience as a Data or Product Analyst in AdTech (Programmatic, Ad Exchange, SSP, or DSP) who understands what drives marketplace health and revenue. - A/B Testing & Revenue Strategy: You will design, track, and evaluate A/B tests for product features, floor pricing rules, and traffic shaping algorithms. We are looking for a data-driven thinker who loves solving business puzzles, testing commercial hypotheses, and proving what actually moves the needle on product performance. - Advanced Data Extraction: You will query massive datasets to turn millions of raw ad events into clear business answers. We need advanced SQL skills to effortlessly query billions of rows, spot anomalies, and translate complex metrics into clear, actionable recommendations for our product and demand teams. - Traffic & Cost Efficiency: You will analyze bid request data to identify inefficient traffic and help product managers design smart routing rules. We need an analyst who can balance top-line revenue with operational costs, finding ways to streamline traffic (Queries Per Second) without sacrificing publisher earnings. - Executive Dashboarding & Reporting: You will build automated, easy-to-read dashboards that give Product, Engineering, and Demand Partnerships real-time visibility into campaign performance. We are looking for hands-on experience with BI tools like QuickSight, Tableau, Looker, Power BI, or Redash to make key business numbers intuitive and accessible to everyone. - Agile Project Execution: You will balance scheduled analytics projects with quick-turnaround deep dives when marketplace metrics shift unexpectedly. We need a hands-on, proactive analyst who thrives in a fast-paced environment and can independently manage multiple analytical priorities. 🌎 WE WELCOME APPLICATIONS FROM TALENT WORLDWIDE AND PROVIDE RELOCATION SUPPORT TO HAMBURG, GERMANY FOR THOSE READY TO JOIN OUR TEAM. What’s in It for You? At adjoe, you’re not here to just close JIRA tickets, you’re helping build the infrastructure behind one of the most impactful platforms in adtech. The systems you work on will reach hundreds of millions of users and power billions of decisions every day. - Go Big. Own projects with impact on 770M users and push adtech boundaries. - Move Fast. Ship solutions multiple times a day, learn from results, and keep momentum. - Be Direct. Solve problems openly and collaborate across teams. - Thrive Together. Grow with a diverse, global team of people from over 40 different countries that learn from each other. - Have Fun. Celebrate wins, enjoy daily victories, and bring your energy. We welcome applications from people who will contribute to the diversity of our company.

Location: San Francisco; Seattle; New York City Workplace: Hybrid ABOUT MOTHERDUCK Don’t let the quirky name fool you: At MotherDuck, we’re on a mission to make data warehousing fun, frictionless, and ducking awesome for developers and data practitioners building blazing fast internal and customer-facing analytics experiences. We're building a cloud-hosted version of DuckDB, working hand-in-hand with the creators of the fastest-growing and fastest-improving query engine on the planet. Unlike other databases, MotherDuck was architected to unify local development with cloud operations to bridge the gap between software and data engineering workflows. Our team is a mix of thoughtful, passionate, and empathetic data industry veterans. ABOUT THE ROLE We're looking for a creative yet technical marketer... someone who can write the ad copy, build the segment, run the test, and then navigate based on the quantitative signals. You'll own growth end to end: paid, organic, lifecycle, experimentation, across every channel we touch, not just one lane. Right now the biggest opportunities on our plate are: - Conversion hacking across the site and landing pages - Webinars, from topic strategy and audience segmentation through to pipeline and signup conversion - Social hacking, working alongside product marketing and DevRel - AEO (answer engine optimization) - Re-engagement audience hacking for people who've gone quiet - Segment testing at scale, from lookalikes to usage-pattern and conversion-pattern based audiences, feeding Google, Meta, LinkedIn and beyond But the role isn't limited to that list. You'll have a hand in every part of growth and lifecycle marketing, and you're expected to bring your own ideas about where the next win is, not just execute a queue. WHAT YOU'LL DO Own the full funnel - Work both motions: self-serve signups that need to activate and convert, and accounts that need to become sales-qualified pipeline. Neither one is a side project. - Take plays from spec to live: audience, signal, message, channel, landing page, conversion. You get support on strategy and full ownership of execution. Run experiments like they matter - Define the metric, the guardrail, and the sample size before anything ships, not after the data looks interesting. - Do your own analysis: cohort curves, funnel step conversion, segment cuts, time-to-activation, cost per activated account, cost per SQA. SQL against the warehouse, not a screenshot of a dashboard. - Know the difference between a real lift and noise, and say so out loud, even when it's your own play that lost. Build with agents, not just tools - Build agent workflows daily: research, list building, lookalike testing, personalization, creative variants, landing page drafts, competitor monitoring, post-test analysis. - Point agents at our stack (Clay, HubSpot, Apollo, our marketing MCP) so plays run with you supervising, not clicking through every step. - Prototype fast and for real: a scraper, a scoring pass, a signal listener, a one-off page, instead of scoping it out to someone else. Segment and test relentlessly - Wire intent signals (Clay intent, product usage, DuckDB and community activity, job changes, hiring and tooling signals) into plays that feed both self-serve signup and pipeline. - Build LinkedIn and other channel automations: engage motions, Clay-synced ad audiences, retargeting off product and content behavior. - Run a real volume of tests across the funnel: landing pages, signup flow, activation moments, lifecycle and in-product email, outbound messaging, list sources. A high test count is the job, not a sign you're thrashing. Own social, nurture, and event presence - Own social strategy end to end, including managing the social agency. - Own email nurture content and design, with your manager weighing in on strategy and voice. Scale what works, kill what doesn't - Hand proven winners to marketing ops to productionize, then move on to the next unproven thing. - Flag plateaus early instead of keeping a play alive just because it's yours. WHAT WE'RE LOOKING FOR - Hands-on experience with Claude Code or similar LLM tooling. This isn't a "used ChatGPT once" bar, we mean you actually build with agents. - A resume with real quantitative results: pipeline contribution, PLG or SLG conversion metrics, cost per activated account/SQA, that kind of thing. - Cross-channel growth experience with genuine technical chops (comfortable in SQL, can run your own cohort analysis and basic stats on test results). - Background at a high-growth company (data/AI space preferred, but a Ramp-equivalent is fine too). - 1-3 years in growth, performance marketing, demand gen, or a scrappy generalist marketing role, or a track record of building growth things on your own that speaks for itself. - Great writing, and credibility with a developer and data audience. - A bias toward shipping. If you see something no one owns, that's an opening, not a blocker. WHAT PEOPLE SHOULD BE SAYING IF YOU'RE DOING DUCKING AWESOME - Your manager: "I stopped worrying about whether the test was set up right months ago." - Sales: "Growth's signals are actually why we booked that meeting." - Marketing ops: "I just productionized three of their plays this month and they're already onto the next thing." - A candidate who interviewed and didn't get the offer: "That was one of the more thoughtful processes I've been through." - You, to yourself: "That play flopped, here's exactly why, here's what I'm testing next." PLEASE APPLY Does this role sound appealing to you, but you’re missing some of the requirements or don’t quite think you’re qualified?  Please apply anyway. Research has shown that underrepresented groups in technology often shy away from roles which aren’t a 100% match. We aim to build a diverse team and will strongly consider applicants who bring many of the requirements plus have other experiences which round out their qualifications. MotherDuck is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. MotherDuck is committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities.

Location: San Francisco Workplace: Hybrid Perplexity is seeking an Enablement Specialist to help enterprise customers build the knowledge, confidence, and repeatable practices required to reach value with Perplexity Computer. This role is ideal for someone who combines technical fluency, strong facilitation, and a track record of building onboarding and adoption programs that scale. About the role Perplexity Computer enables customers to build AI-powered workflows that navigate tools, interact with applications, and complete multi-step work. Helping organizations adopt this new way of working requires more than a product demonstration or one-time kickoff. Enablement Specialists design and deliver the programs that move customers from initial access to confident, sustained use. You will create onboarding journeys for different levels of readiness, lead customer workshops and office hours, diagnose adoption barriers, and turn repeated questions into scalable guidance. This is a customer-facing role that works closely with Customer Success, Applied AI Architects, Product, Marketing, and Support. Customer Success retains ownership of the account, adoption strategy, and expansion strategy; you will own the enablement programs and interventions that help customers and customer success managers become self-sufficient. What you'll do - Design customer journeys. Build onboarding and adoption programs for customers and user cohorts with different roles, goals, technical readiness, and levels of AI experience. - Deliver high-quality enablement. Lead technical kickoffs, workshops, office hours, remote sessions, onsite programs, webinars, and train-the-trainer experiences. - Make complex concepts accessible. Teach Computer and agentic-workflow concepts clearly to both technical and nontechnical audiences. - Guide customers through setup. Help customers understand access, members, permissions, connectors, credits, models, initial workflows, and the practices required to get started. - Diagnose adoption barriers. Determine whether a customer is blocked by knowledge, readiness, process, configuration, product capability, or technical complexity. - Route complex needs well. Recognize when a question requires an Applied AI Architect, Customer Success, Support, Product, or Engineering and provide a clear handoff. - Create scalable assets. Turn repeated onboarding and adoption needs into curricula, customer checklists, implementation guidance, lifecycle communications, videos, examples, and internal enablement. - Use evidence to increase adoption and consumption. Segment customers by readiness and usage behavior, identify where consumption stalls, deliver targeted interventions, and measure activation, time to first value, repeat usage, sustained credit consumption, and program effectiveness. - Build the learning loop. Bring customer patterns and feedback back to Applied AI, Product, Customer Success, Marketing, and Support. What we're looking for The strongest Enablement Specialists can teach, diagnose, and design for scale. You should be able to run a compelling customer session, understand the technical details behind a blocker, and build a repeatable program rather than solving the same problem one customer at a time. Must-haves - 4+ years in technical onboarding, customer enablement, implementation, solutions consulting, customer education, or a technically oriented Customer Success role. - Proven program-building experience. You have designed and delivered onboarding, training, or adoption programs across live and self-service formats. - Strong facilitation and communication. You can explain complex product and AI concepts clearly to technical and nontechnical audiences. - Technical fluency. You can guide customers through permissions, connectors, models, credits, workflows, and common integration concepts. - Strong diagnostic judgment. You can determine whether a customer is blocked by education, readiness, process, configuration, product capability, or technical complexity. - Data-informed growth mindset. You have used product and usage data to identify adoption gaps, trigger interventions, move customer cohorts toward sustained use, and evaluate impact. - Cross-functional operating ability. You can work effectively with Customer Success, Sales, Product, Marketing, Support, and technical teams. - High ownership. You set clear expectations, improve weak processes, and operate effectively in a fast-moving environment. Nice-to-haves - Experience with AI products, agentic workflows, enterprise SaaS, or other technically complex platforms. - Experience building technical onboarding or adoption programs for enterprise customers. - Background in adult learning, instructional design, customer education, or enablement operations. - Experience using product and usage data to trigger interventions and measure activation, time to value, and sustained engagement. - Experience developing customer-facing technical content, workshops, or certification programs.

Location: Atlanta, GA (Hybrid) The Position CallRail is looking for a Product Manager to join our team that supports our core integrations, public API and webhooks products . This is a build role. You’ll ship net-new integrations with platforms our customers depend on — automotive and healthcare tools, scheduling systems, workflow platforms like Zapier — and you’ll deepen the ones we already have. You’ll also own the shared service and framework those integrations run on, and the developer-facing API and webhook surface that thousands of customers and partners build on top of. The other half of the job is keeping the ecosystem healthy. Integrations break in ways ad campaigns don’t, and you’ll be the person who decides what gets fixed first. That means working shoulder to shoulder with Support, Sales, and Marketing — they hear about problems before dashboards do, they know which integration is blocking a deal, and they need you to tell them what’s coming and when. This role suits a hands-on, technically fluent PM who wants to ship real integrations, cares about customer product experience, and works in an environment where AI is a daily tool rather than a talking point. What You'll Do Build and deepen integrations Ship net-new core integrations — new verticals like automotive and healthcare, scheduling and workflow platforms, and the partners our roadmap calls for next. Deepen existing integrations past MVP: fill functional gaps, expand data coverage, and make the ones customers already rely on genuinely good. Own the shared service and framework every integration inherits — data sync, authentication, error handling, and retries — and the tooling that makes the next integration cheaper to build than the last. Own the integrations UI and library: how customers discover, connect, configure, and troubleshoot what we’ve built. Own the API and webhooks Own CallRail’s public API and webhooks as a product, not a byproduct: new capabilities, versioning strategy, deprecation paths, and the developer experience around them. Drive parity between our API and webhooks so developers get consistent data and behavior regardless of how they consume it. Own API documentation, the developer dashboard, and the administration and billing experience for API access. Define and monitor the health metrics developers actually feel — latency, error rates, rate-limit behavior, webhook delivery reliability — and act on them. Prioritize and triage Own the integrations bug queue. Triage incoming issues, and make the reliability work that keeps the ecosystem healthy visible and scheduled rather than invisible and endless. Make the call on sequencing net-new work against fixes and migrations, and be able to explain that call to anyone who asks. Close the loop with Support — build the intake path that turns ticket patterns into prioritized work, and give them the answers and workarounds they need in the meantime. Keep Sales and Marketing ahead of the roadmap: what’s shipping, what’s fixed, what’s still broken, and what they can confidently sell and promote. Cross-functional Write clear, actionable epics, user stories, and acceptance criteria with real technical context and edge cases identified up front. Lead discovery with customers, developers, and internal teams to validate problems before scoping solutions. Partner with Marketing, Sales, and Customer Experience on launches, enablement, and adoption. Represent core integrations and the API in planning cycles and cross-functional initiatives. What You'll Need 3-5 years of product management experience , including meaningful time on integrations, APIs, developer tools, or platform-oriented work. Background in marketing tech, communications tools, or call tracking ecosystems. A track record of actually shipping B2B SaaS integrations end to end — not just governing a platform others built on. Strong technical fluency. You read API documentation comfortably, reason about data models and auth flows, understand webhooks and event delivery semantics, and can scope edge cases with engineers without needing a translator. Hands-on experience with public or partner APIs — REST, OAuth, versioning, rate limiting, pagination, and webhook reliability patterns. Demonstrated fluency with AI tools (Claude or similar) in your actual day-to-day product work. Comfort working directly with Support, Sales, and Marketing — turning their signal into prioritized work and keeping them informed without being asked twice. Comfort with the unglamorous half of integration work: bugs, migrations, and reliability — and the judgment to prioritize it against net-new. Ability to prioritize clearly across business goals, customer needs, and technical feasibility, and to explain your reasoning to both engineers and executives. Experience in Agile teams working closely with engineers and designers. Excellent written communication. Integration decisions live or die by how well they’re documented. Familiarity with tools we use: Jira, Confluence, Miro, Looker, Fullstory, Figma. Nice to Have Experience building or scaling a developer platform, API program, or developer portal. Experience with vertical software ecosystems — automotive, healthcare, home services, or legal. Experience with MCP, agent frameworks, or designing APIs intended for AI consumption. Working With AI at CallRail AI is core to how our product team operates, and we expect it to be core to how you operate. We use Claude across discovery, spec writing, data analysis, prototyping, and internal tooling, and we’re actively building AI capabilities into the product itself. In this role you will: Use AI daily as a working tool — clustering support tickets to find the real bug patterns, drafting and pressure-testing specs, exploring API data, and building throwaway scripts and prototypes to answer questions faster than a meeting could. Build your own leverage rather than waiting for it — writing Claude skills, agents, and internal workflows that make you and your team faster. Think about CallRail’s platform as something AI agents will consume, not just humans. MCP servers, agent-friendly API design, and tool-calling patterns are increasingly part of what a modern integrations platform is expected to offer, and you’ll help shape our point of view there. Stay genuinely current. The tooling changes every few months, and we want someone curious enough to keep up and pragmatic enough to know when a new tool actually helps. We’re looking for evidence that you’ve already changed how you work because of these tools — not just enthusiasm about them. If you do not meet all the requirements listed, we still encourage you to apply! No job description is perfect, and we may also have another opportunity that aligns with your skills and experience. Additional Perks Healthcare (one option covered at 100% for employees), Dental & Vision Coverage Competitive HSA with company matching Paid parental leave Flexible vacation policy 401K options with company dollar-for-dollar match Employee stock options available from day one $2,000 annual educational allowance Catered lunch every Tuesday * an in-office perk MARTA transportation or office parking expenses covered Employee charitable donation company match, up to $500 annually Regular company outings and events Hybrid work options with $500 office stipend to set up your home office Designated bike storage Learn more: https://www.callrail.com/about/ You Are Welcome Here CallRail understands that valuing diverse creative practices and forms of knowledge are crucial to and enrich the company's core mission. We encourage applications from everyone, including members of all equity-seeking communities, such as (but certainly not limited to) women, racialized and Indigenous persons, persons with disabilities, and persons of all sexual orientations and gender identities and expressions. In your application, please feel free to note which pronouns you use (For example - she/her/hers, he/him/his, they/them/theirs, etc). Continuous adoption of AI technologies is essential to this role. You will be expected to leverage AI platforms to streamline operations, solve complex problems, and stay ahead of industry benchmarks. *** This position is based out of our Atlanta office. Through December 2026, employees are expected to work in the office on Tuesdays and Thursdays. Beginning in January 2027, CallRail will transition to a 3 day hybrid work model. Employees will work in the office on Mondays, Tuesdays, and Thursdays.

Location: Remote GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role Site Reliability Engineers keep GitLab's user-facing services and production systems running reliably at scale. They combine software engineering with operational excellence, applying sound engineering principles, automation, and continuous improvement to build, operate, and evolve our production infrastructure. This is a single application for Site Reliability Engineering opportunities across Infrastructure Platforms. Rather than asking you to choose the right team or level upfront, we evaluate your skills holistically and match you to the opportunity that best aligns with your experience and our hiring needs. We hire Site Reliability Engineers from Intermediate through Senior Staff across multiple Infrastructure Platforms teams. We don't expect every candidate to have experience with every technology in our environment. We're looking for engineers with strong technical fundamentals, a growth mindset, and the ability to learn quickly. We'll support you in becoming successful with GitLab's tools, systems, and ways of working. Please note: This position is open to candidates based in the United Kingdom only. Candidates based in the United States or Canada can apply to this posting: Site Reliability Engineer, Infrastructure Platforms — AMER (Intermediate to Senior Staff) How our SRE hiring works Because this is a single application for SRE roles across Infrastructure Platforms, our process is built to evaluate you once and match you well, rather than interviewing separately for every team. Recruiter Screen: A conversation about your background, what you're looking for, and the level and teams that fit, so we can point your process in the right direction. Core Technical: The shared assessment every SRE candidate takes, regardless of eventual team. A low-stress, collaborative discussion covering system architecture and incident review. Hiring Manager Interview: A conversation about ownership, judgment, execution, collaboration, and growth, the non-technical signals that make an SRE effective at GitLab. Peer Technical: Team-specific depth, run by SREs from the team you're most likely to join, focused on the problems that team actually works on. Skip-Level Interview: A conversation with a senior leader on values alignment, and how you'll work across teams. After your interviews, we consider your performance alongside our current hiring needs to confirm the level and team where you'll do your best work. Interview results are a major factor, and final placement also reflects our active hiring priorities at the time. We’ll calibrate your level throughout the interview process based on the scope and impact of your experience. Intermediate: You independently deliver meaningful reliability improvements within a defined area. Senior: You own complex reliability work end to end and raise the effectiveness of your team. Staff: You shape reliability across multiple teams, solving systemic problems and creating approaches others can reuse. Senior Staff: You set technical direction across a broader Infrastructure area and influence reliability strategy at organizational scale. What you'll do Keep user-facing services and production systems reliable, scalable, and efficient Build automation and tooling that reduces toil and replaces manual work with repeatable, infrastructure-as-code-driven workflows Operate and troubleshoot production systems on Kubernetes, including deployments, rollouts, and scaling Write and maintain infrastructure as code, and ship changes safely through CI/CD and GitOps Participate in on-call, triage alerts, follow and improve runbooks, and escalate appropriately Contribute to the observability stack, using metrics, logs, and SLOs to detect symptoms early rather than just outages Take part in incident response and post-incident reviews, turning learnings into changes in automation and process Document runbooks, architecture decisions, and reviews so your findings become repeatable practices What you'll bring Experience keeping production systems reliable, combining an operations mindset with real software engineering practice Experience building net-new infrastructure tooling and automation, not just configuring existing tools. For example, Terraform modules, Kubernetes operators or controllers, or production automation and services written from scratch The ability to read, debug, and reason about code. Most of our teams work in Go; some work in Ruby. You can discuss a piece of code's behavior, performance, and failure modes Experience with infrastructure as code, and with Kubernetes and its ecosystem, at a depth appropriate to your level Hands-on experience with at least one major cloud provider (GCP or AWS) Familiarity with observability practices, including metrics, logging, alerting, and SLOs or SLIs, and using data to inform operational decisions Comfort participating in on-call and incident response, with a structured approach to troubleshooting under pressure Strong written communication and the ability to operate as a manager-of-one in an async, distributed environment A track record of using automation, and increasingly AI, to reduce toil and improve how you and your team work Alignment with GitLab's values and a commitment to working in accordance with them About the team Infrastructure Platforms is responsible for the availability, reliability, performance, and scalability of GitLab’s user-facing services, most notably GitLab.com . The organization spans teams across Production Engineering , GitLab Dedicated , GitLab Delivery , and Developer Experience , covering everything from the production fleet and networking platform to observability, incident response, deployment infrastructure, tenant scale, and our single-tenant Dedicated offering. We are a globally distributed, remote-first organization that works asynchronously, favors automation over toil, and uses monitoring, metrics, and clear ownership to continuously improve the reliability of GitLab at scale. For more on how we work, see the Infrastructure Handbook Page . How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

Location: Virtual About Osano: Osano is an innovative B-Corporation built around a simple belief: privacy is a fundamental right. Since day one, we’ve been focused on giving modern enterprises the ability to innovate quickly, stay competitive, and earn customer trust by respecting data privacy and complying with consent guidelines. Our products help organizations operate confidently in a rapidly evolving regulatory and technological landscape. About the Role Job Description As a Customer Experience Operations Specialist, you'll help improve and scale Osano's self-service customer experience by understanding how customers engage with our product, identifying patterns and areas of friction, and helping turn those insights into solutions that improve adoption and customer success. This role is ideal for someone who is naturally curious, analytical, and comfortable with technology. You’ll look at customer behavior and data, ask questions about what’s working and what isn’t, and help form hypotheses about how we can improve the customer journey at scale. You’ll also support customers through basic troubleshooting and use customer experience and analytics tools to better understand how customers interact with Osano. The Role Support self-service customers throughout onboarding by answering common product questions, providing guidance, and helping troubleshoot basic technical issues. Track common customer questions, onboarding challenges, and recurring issues to help identify patterns and opportunities to improve the customer experience. Monitor self-service and PLG metrics such as signups, activation, implementation progress, product usage, go-live, and retention. Assist with analyzing customer and product data to understand where customers get stuck, what behaviors lead to success, and where additional support may be needed. Help build and test scalable customer programs, including automated outreach, in-product guidance, customer education, and other adoption initiatives. Use tools such as Userpilot, Pendo, Heap, or similar platforms to learn how customers interact with the product and support reporting on customer behavior. Maintain and improve self-service resources, customer communications, internal documentation, and process guides. Identify customer trends, potential churn risks, and upgrade opportunities and share findings with Customer Experience, Product, and other internal teams. Partner across Customer Success, Support, Implementation, and Product on projects that improve onboarding, adoption, and the overall self-service customer journey. Support additional Customer Experience operations and reporting projects as the self-service program grows. About You Early in your career and excited to build experience at the intersection of Customer Experience, technology, data, and operations. Naturally curious and analytical — when you see a customer problem or unexpected behavior, your instinct is to dig deeper, look for patterns, and understand the “why” behind it. Comfortable working with data and metrics to identify trends, form hypotheses, and help determine what actions could improve the customer experience. Technically curious and comfortable learning new software, including customer analytics, product adoption, and reporting tools. Confident troubleshooting basic technical issues and willing to investigate a problem before escalating it. Interested in finding scalable solutions rather than solving the same customer problem one at a time. Strong written and verbal communicator who can turn customer feedback, trends, and data into clear takeaways for others. Detail-oriented and organized, with the ability to manage multiple priorities and follow through on projects. Comfortable working independently, experimenting with new approaches, and asking thoughtful questions when needed. Customer-focused, with an interest in understanding what drives successful onboarding, adoption, retention, and long-term customer value. Nice to Have Bachelor’s degree or equivalent experience in Business, Information Systems, Data Analytics, Marketing, Communications, or a related field. Experience working with data through coursework, internships, projects, or previous roles. Familiarity with SaaS products or an interest in how software companies use customer and product data to improve the user experience. Exposure to tools such as Userpilot, Pendo, Heap, Zendesk, Intercom, HubSpot, or similar platforms. Basic experience with reporting, dashboards, spreadsheets, or data visualization. Interest in Customer Experience Operations, Customer Success Operations, Product-Led Growth, or a similar career path. A Bit More About Osano Osano is a leading data privacy platform that helps organizations quickly and confidently comply with laws like GDPR, CCPA, and other global privacy regulations. From consent management to vendor risk monitoring, Osano makes complex privacy tasks refreshingly simple, so companies can focus on what they do best, while we handle the rest. We’re backed by top-tier investors including Baird Capital, Jump Capital, and LiveOak, and we’re scaling fast with a multi-year runway and ambitious growth plans. We’ve also been recognized as a Great Place to Work for four years running, with 97% of employees saying Osano is a great place to work. As we grow, we're looking for individuals who lean into modern technologies and smarter systems to drive efficiency, clarity, and speed; both in our product and in how we operate. If you're excited by the idea of helping build a high-growth, privacy-first company that embraces thoughtful automation, emerging tech, and intentional collaboration, we’d love to hear from you. Osano is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, marital status, genetic information, disability, veteran status, or any other characteristic protected by applicable law.

Libertex Group Overview Established in 1997, the Libertex Group is an international powerhouse with over 28 years of financial markets expertise. Over the years, the Libertex Group has helped shape the online trading industry by merging together innovative technology, market movements and digital trends. This was made possible with the introduction of ‘Libertex', the multi-awarded online trading platform with which anyone can access the market and invest in stocks or trade CFDs with underlying assets being commodities, Forex, ETFs, cryptocurrencies, and others. A firm believer in the power of sports to inspire, empower and push for success, Libertex is the Official Online Trading Partner of Audi Revolut F1® Team. The Libertex Group in Numbers: 28+ years of fintech experience, 3M+ clients worldwide, 700+ employees, 45+ international awards (for Libertex), 300+ tradable assets (through Libertex). The Libertex Group is constantly driven by a single passionate purpose - to tirelessly work on developing amazing fintech for people who simply want to have ‘more' in their lives. Main Responsibilities — Develop and execute a business development strategy tailored to GCC, focusing on client acquisition and retention — Identify, recruit, and manage Introducing Brokers (IBs), affiliates, and institutional clients in GCC — Act as the main point of contact for partners, ensuring their satisfaction and loyalty — Collaborate with the marketing team to design and deploy region-specific campaigns — Represent the company at expos, seminars, and events — Stay updated on regulatory frameworks, competitive offerings, and market trends — Track KPIs: revenue, client acquisition, conversion rates, and trading volumes Requirements — Degree in Business Management, Marketing or any other relevant field — At least 3-5 years of experience in Forex/CFD business development, with a focus on GCC markets — Excellent command of Arabic and English language — Strong network of IBs, affiliates, and traders in GCC — Knowledge of GCC market dynamics, including trading behaviors and regulations — Excellent negotiation, presentation, and communication skills Benefits — 21 working days of annual leave — Work remotely whilst being part of a global team — Udemy Business unlimited membership — Professional and personal development opportunities in a fast-growing environment Libertex Group is an equal opportunity employer, fostering an inclusive and diverse environment. We do not discriminate based on any characteristic protected by the law. Candidate privacy is respected, and all data is securely stored and used solely for recruitment purposes, in line with GDPR and our internal policies. Unsuccessful applicants may have their data retained for future opportunities unless deletion is requested.

Location: Sofia Xometry (NASDAQ: XMTR) powers the industries of today and tomorrow by connecting the people with big ideas to the manufacturers who can bring them to life. Xometry’s digital marketplace gives manufacturers the critical resources they need to grow their business while also making it easy for buyers at Fortune 1000 companies to tap into global manufacturing capacity. Product Analyst Product Analyst is embedded within a product squad, providing analytical support to grow our two key marketplace platforms: the customer-facing platform and the partner-facing platform. The role involves deep analysis of user behavior, end-to-end analytics, and the planning and analysis of A/B tests. You will work in close collaboration with Product Managers to drive data-driven decisions, with a key focus on optimizing pricing strategies and identifying product growth opportunities. This position works end-to-end: clarifying problems, shaping metrics, partnering with DWH, building usable tools, and supporting adoption. The scope of the role is cross-regional. Tech Stack: Analytics/DWH: SQL, Python, Snowflake, Airflow, Looker, Amplitude, Google Analytics, Google Sheets, DataHub, Git, Statsig, DBT Application Platform: PostgreSQL, Ruby, Salesforce Project/Process Management: JIRA, Miro, Figma AI-Native: Claude, Spec-Driven Development How You’ll Contribute: Experimentation & A/B Testing: Partner with Product Managers and stakeholders to define the problem, success metrics, and hypotheses; propose experiments and measure impact on the business Own product A/B testing and the end-to-end product hypothesis pipeline, from ideation to analysis and implementation Formulate hypotheses for new product features, design A/B experiments, analyze results, and provide recommendations to improve user conversion and engagement Design and analyze A/B tests for different pricing models and strategies to maximize revenue while balancing conversion rate and bookings Analytics & Reporting: Build and maintain dashboards in Looker; ensure correctness of data, clarity, usability, and decision support Analyze product funnels, user behavior, and platform performance (activation, conversion, retention, pricing effects) to drive product growth, revenue, and margin Track lifecycle KPIs, trends, and customer feedback, and recommend actions Conduct in-depth product analysis and uncover insights not covered by self-service analytics Data Quality & Partnership: Specify data needs, validate data quality, and collaborate with DWH on marts and metrics Treat analytics as a product: start with “why,” simplify, and ensure usability and adoption What You’ll Bring to Xometry: Education: Bachelor’s or Master’s in Data Science, Computer Science, IT, Engineering, or a related field Experience: 3+ years in product analytics, ideally within B2B/B2C marketplaces Technical Skills: Strong SQL and Python; experience with BI tools (Looker, Tableau, Qlik, or similar); familiarity with Git, JIRA, Confluence, or equivalents Quantitative Skills: Solid foundations in probability and statistics; hands-on experience with statistical analysis and experimentation (hypothesis testing, A/B test design, power analysis), regression, and time-series analysis Nice to Have: Understanding of DWH concepts (design, data structures, ETL/ELT) and applied experience with Statsig or another A/B testing platform Soft Skills: Strong business sense, clear communication, structured thinking, attention to data quality, and the ability to decompose ambiguous asks into deliverables Curiosity: A track record of self-directed development in adjacent disciplines such as entrepreneurship, business administration, product, UX, machine learning, or human behavior and psychology is a strong plus Languages: Fluent English with strong communication skills is required; Russian is a big plus; German or another EU language is a plus Location: Sofia, Bulgaria Please apply with an English CV #LI-Hybrid #Promoted Xometry is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. Please read our privacy policy here.

Location: Munich Xometry (NASDAQ: XMTR) powers the industries of today and tomorrow by connecting the people with big ideas to the manufacturers who can bring them to life. Xometry’s digital marketplace gives manufacturers the critical resources they need to grow their business while also making it easy for buyers at Fortune 1000 companies to tap into global manufacturing capacity. Product Analyst Product Analyst is embedded within a product squad, providing analytical support to grow our two key marketplace platforms: the customer-facing platform and the partner-facing platform. The role involves deep analysis of user behavior, end-to-end analytics, and the planning and analysis of A/B tests. You will work in close collaboration with Product Managers to drive data-driven decisions, with a key focus on optimizing pricing strategies and identifying product growth opportunities. This position works end-to-end: clarifying problems, shaping metrics, partnering with DWH, building usable tools, and supporting adoption. The scope of the role is cross-regional. Tech Stack: Analytics/DWH: SQL, Python, Snowflake, Airflow, Looker, Amplitude, Google Analytics, Google Sheets, DataHub, Git, Statsig, DBT Application Platform: PostgreSQL, Ruby, Salesforce Project/Process Management: JIRA, Miro, Figma AI-Native: Claude, Spec-Driven Development How You’ll Contribute: Experimentation & A/B Testing: Partner with Product Managers and stakeholders to define the problem, success metrics, and hypotheses; propose experiments and measure impact on the business Own product A/B testing and the end-to-end product hypothesis pipeline, from ideation to analysis and implementation Formulate hypotheses for new product features, design A/B experiments, analyze results, and provide recommendations to improve user conversion and engagement Design and analyze A/B tests for different pricing models and strategies to maximize revenue while balancing conversion rate and bookings Analytics & Reporting: Build and maintain dashboards in Looker; ensure correctness of data, clarity, usability, and decision support Analyze product funnels, user behavior, and platform performance (activation, conversion, retention, pricing effects) to drive product growth, revenue, and margin Track lifecycle KPIs, trends, and customer feedback, and recommend actions Conduct in-depth product analysis and uncover insights not covered by self-service analytics Data Quality & Partnership: Specify data needs, validate data quality, and collaborate with DWH on marts and metrics Treat analytics as a product: start with “why,” simplify, and ensure usability and adoption What You’ll Bring to Xometry: Education: Bachelor’s or Master’s in Data Science, Computer Science, IT, Engineering, or a related field Experience: 3+ years in product analytics, ideally within B2B/B2C marketplaces Technical Skills: Strong SQL and Python; experience with BI tools (Looker, Tableau, Qlik, or similar); familiarity with Git, JIRA, Confluence, or equivalents Quantitative Skills: Solid foundations in probability and statistics; hands-on experience with statistical analysis and experimentation (hypothesis testing, A/B test design, power analysis), regression, and time-series analysis Nice to Have: Understanding of DWH concepts (design, data structures, ETL/ELT) and applied experience with Statsig or another A/B testing platform Soft Skills: Strong business sense, clear communication, structured thinking, attention to data quality, and the ability to decompose ambiguous asks into deliverables Curiosity: A track record of self-directed development in adjacent disciplines such as entrepreneurship, business administration, product, UX, machine learning, or human behavior and psychology is a strong plus Languages: Fluent English with strong communication skills is required; Russian is a big plus; German or another EU language is a plus Location: Munich, Germany Please apply with an English CV #LI-Hybrid #Promoted Xometry is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. Please read our privacy policy here.

Location: Paris, France Workplace: Hybrid HEALTH CAN’T WAIT. Not for symptoms to get worse. Not for a six‑month appointment. Not for a system to catch up. But that’s exactly how healthcare works today. You wait, until you can’t. Alan exists to end the wait. Health is a universal right, and we believe this right can only become real when it’s coupled with prevention. We need to stop treating health as something we repair and start treating it as something we build, every day. It’s not solely a question of willpower. It’s the healthcare system itself that needs to work for everyone, in a sustainable way. So we are building the new standard in prevention insurance. Alan is the first company that integrates insurance, prevention, and care into a single, acclaimed user experience. We are on an incredible journey to build a global leading company, with a unique culture https://alan.com/en/careers. We already partner with 40K+ companies of all sizes, serving more than 1M+ members, and have reached €800M+ in ARR. Prevention as the new norm. That's what we're building with our team of 1000+ people. If it speaks to you: we're hiring across France, Spain, Belgium, and Canada. And beyond. MISSION Alan is scaling internationally (800+ employees, 100+ healthcare professionals, 5+ countries) and needs IT Engineers to build and own the internal technology platform every Alaner works on: identity and provisioning, endpoint and SaaS security, the tooling behind our clinics, and the automation that keeps IT from scaling linearly with headcount. The scope below is what the team owns, not a checklist for one person. You'll be staffed on one or two of these areas at a time, according to your strengths and interests, and it will evolve through time based on company needs and personal appetite. Staying close to users keeps us building the right things: you'll spend up to one day a week on IT support, seeing first-hand where friction lives and what's worth automating next. SCOPE ⚙️ PLATFORM & AUTOMATION - Own and extend automations on Alan Home, our internal provisioning engine - Maintain, extend and improve helpdesk automation, SaaS provisioning flows, and onboarding/offboarding pipelines - Own the meeting room AV and room-booking platform as a product, replicable across offices 🔑 IDENTITY & ACCESS - Own the IT side of the employee lifecycle (onboarding, offboarding, mobility between jobs and countries) across Google Workspace, SSO/SAML and our SaaS ecosystem. - Grow our role-based access model: extend it to more tools and refine the permission groups, so access is granted by role rather than case by case - Make employee lifecycle events reliable, fast and auditable end-to-end - Own access reviews and least-privilege models; produce and maintain the evidence our auditors rely on - Own SaaS procurement and license management: vendor relationships, renewals, and cost optimization across our stack 🔒 ENDPOINT & SAAS SECURITY - Own the Mac fleet in Kandji: enrollment at scale, role-based blueprints, fleet compliance - Cloudflare WARP, SaaS security controls - Maintain and strengthen our ISO 27001 certification and drive ACPR and pentest remediation on the endpoint and platform scope 🩺 HEALTH PROFESSIONALS IT - The IT layer behind Alan's clinics: practitioner tooling, equipment, access - Role and permission automation for healthcare professionals, and their support and escalation process 🌍 INTERNATIONALISATION - Make international expansion something IT accelerates, not something it slows down: a repeatable process where every new market (Canada, KSA, Armenia...) launches on our standard stack from day one - Bring acquired entities onto that same platform MILESTONES First 3 months - Acquire technical knowledge on Alan's platform: Alan Home, Google Workspace/SSO, Kandji, Cloudflare WARP - Take one project end-to-end and ship a first increment - Join the IT oncall team as technical escalation First 6 months - Own a workstream end-to-end - Deliver one automation or hardening initiative end-to-end - Take up documentation and automation on your scope and reduce significantly the bus factor on it - Mentor IT teammates on your core expertise First year - Deliver measurable IT toil reduction on your scope - Set the technical standards on your domain: how we build, document and review it - Build strong cross-functional partnerships (Engineering, Security, Workplace, Clinic, People, Audit) - Contribute to hiring and onboarding new teammates 3 years - Lead major projects end-to-end across several communities - Be the reference the team relies on across at least two domains - Mentor the IT team and beyond, and scale IT without a linear increase in manual work As the community grows, there is room to take on more responsibility: leading a crew, owning cross-community projects, mentoring, hiring. WHAT WE'RE LOOKING FOR Must-have - Technical/hard skills: - 3+ years in IT engineering, platform, systems or corporate engineering, with real ownership of production-facing systems - Depth in at least one area (platform & automation, identity, endpoint & security) and demonstrated range beyond it. - You write code: not as a full-time software engineer, but Python, APIs and pull requests in a shared repo should feel normal - Structured problem-solving: diagnoses methodically, asks the right clarifying questions, thinks about failure modes and rollback - Comfort with regulated environments: health data, ACPR, ISO 27001, HDS - Automation & AI appetite: uses AI tools smartly to accelerate their own delivery, with an instinct for what should be automated or delegated to AI rather than repeated Must-have - Behavioral / soft skills: - Ownership & autonomy: drives topics forward without hand-holding, including when they cross into someone else's perimeter - Written communication: Alan is written-first; decisions get argued in public documents and challenged by people outside your team - Pragmatic judgment: balances "perfect" vs. "good enough", decides with incomplete information - Documentation culture: reduces bus factor through clear documentation and knowledge sharing Nice-to-have skills / Bonus points if you have: - Experience with an internal provisioning or IdP-driven automation platform - Kandji or another MDM at scale - Cloudflare Zero Trust / WARP, Datadog - Audit remediation experience (ISO 27001, HDS) - Multi-country rollouts, or IT integration after an acquisition - Having mentored, coached or led a (small) crew - Health or healthtech ecosystem familiarity Languages: Fluent English & Professional French

Location: Paris, France Workplace: Hybrid HEALTH CAN’T WAIT. Not for symptoms to get worse. Not for a six‑month appointment. Not for a system to catch up. But that’s exactly how healthcare works today. You wait, until you can’t. Alan exists to end the wait. Health is a universal right, and we believe this right can only become real when it’s coupled with prevention. We need to stop treating health as something we repair and start treating it as something we build, every day. It’s not solely a question of willpower. It’s the healthcare system itself that needs to work for everyone, in a sustainable way. So we are building the new standard in prevention insurance. Alan is the first company that integrates insurance, prevention, and care into a single, acclaimed user experience. We are on an incredible journey to build a global leading company, with a unique culture https://alan.com/en/careers. We already partner with 40K+ companies of all sizes, serving more than 1M+ members, and have reached €800M+ in ARR. Prevention as the new norm. That's what we're building with our team of 1000+ people. If it speaks to you: we're hiring across France, Spain, Belgium, and Canada. And beyond. MISSION Alan is scaling internationally (900+ employees, 100+ healthcare professionals, 5+ countries) and needs IT Operations Specialists to own device security, SaaS platforms, identity & access, and the daily IT experience of every Alaner, while contributing to build projects that remove operational toil. IT at Alan is more than just a helpdesk. Operations and support ('Run') take roughly 60% of your time initially, while the rest goes toward owning project-based initiatives ('Build') tailored to your experience level. As you ramp up alongside senior engineers, your focus will naturally shift toward more build-focused work with wider impact. The scope below is what the team owns, not a checklist for one person. We staff people according to their strengths and interests, and it evolves over time. SCOPE 🛟 SUPPORT & ONCALL - Own L1/L2 oncall for 900+ Alaners across 5+ countries, with a clear escalation path to engineers - Triage, communicate to users during incidents, and escalate appropriately - Document recurring issues and reduce ticket volume through self-service 💻 DEVICE LIFECYCLE & ENDPOINT COMPLIANCE - Own the full device lifecycle: procurement, zero-touch enrollment (Apple Business Manager, Kandji), repair, retrieval - Maintain role-based Kandji blueprints and least-privilege configurations - Contribute to device compliance across all countries (MDM, EDR, FileVault) and to audit evidence - Own the physical side: laptop locker, hardware inventory, office equipment - Take over day-to-day device operations as we bring them back in-house from our outsourced provider 🔑 IDENTITY, ACCESS & SAAS PLATFORMS - Own onboarding and offboarding end-to-end, across both automated and manually-managed tools - Administer Google Workspace, SSO/SAML, licences and access reviews - Manage day-to-day vendor relationships and procurement on your scope ⚙️ BUILD - Own a build project end-to-end, with a more experienced engineer to pair with and learn from - Examples from the current roadmap: rebuilding the onboarding intake, the meeting room audiovisual equipment and room-booking revamp, the IT playbook for new offices, ISO 27001 / ACPR evidence collection - Ship automation and self-service tooling that measurably reduces IT toil MILESTONES First 2 months - Join IT oncall rotation (helpdesk) with buddy/shadowing support - Discover Alan's processes, stack (Kandji, Apple Business Manager), SaaS ecosystem, and identity tools (Google Workspace, SSO, Alan Home) - Handle most typical IT operations issues autonomously (equipment, SaaS access, account provisioning) First 6 months - Handle IT oncall shifts autonomously, solving most problems that do not require engineer input - Own onboarding/offboarding workflows end-to-end - Have wide knowledge of Alan's processes, equipment, and tools - Ship a first project First year - Be regarded as an expert on at least one topic beyond the oncall rotation (e.g. MDM, SaaS admin, compliance documentation) - Contribute on device compliance improvements (MDM, EDR, FileVault) across all countries - Ship automation or self-service projects that measurably reduce IT toil, with limited guidance - Lead small to medium IT projects end-to-end 3 years - Fully autonomous on the User Experience & Platform workstreams - Lead medium to high-complexity IT projects end-to-end - Mentor newer team members, reduce bus factor through documentation, automation and knowledge sharing WHAT WE'RE LOOKING FOR Must-have - Technical/hard skills: - 1-3 years in IT operations (or strong internship / student association background in a tech environment): device management (MDM, ideally Kandji), SaaS administration, basic identity & access management (Google Workspace, SSO) - Operational reflexes: can triage issues, communicate to users during incidents, and escalate appropriately. Has oncall or production support experience - Automation & AI appetite: scripting basics (Python, Bash) or low-code, and an instinct for what should be automated or delegated to AI rather than repeated - Documentation mindset: writes clear, structured documentation - Learning velocity: Picks up new tools and processes quickly. Must-have - Behavioral / soft skills: - Written-First Communication: Clear, effective written communicator who instinctively documents workflows, shares knowledge transparently, and thrives in an asynchronous work culture. - Empathetic Problem-Solving: Balanced user-first service mindset with operational pragmatism—delighting colleagues while diagnosing root causes rather than applying band-aid fixes. - Autonomous Growth: Self-directed problem solver who takes early project ownership, learns rapidly alongside senior engineers, and actively seeks feedback to level up. Nice-to-have skills / Bonus points if you have: - macOS fluency: comfortable troubleshooting macOS, understands the Apple ecosystem (Apple Business Manager, DEP enrollment) - Experience with Kandji specifically - Exposure to security compliance frameworks (ISO 27001, SOC 2, HDS), even just awareness - SaaS vendor management and/or license administration - Interest in automation and coding (even from college/school projects) - Experience in a fast-growing, multi-country tech company Languages: Fluent French & Professional English 🌍 HOW WE WORK Location: You must be legally eligible to work from France.   🎯 IMPORTANT NOTE: WE HIRE PEOPLE, NOT ROLES. If you're excited about this opportunity but don't check every box, we'd love to hear from you. Everyone, no matter how underrepresented, should feel free to apply, as it can only bring learnings or success. If you identify yourself as a woman: Did you know that research shows women often apply only when meeting 100% of requirements? Remember, this is just a guide, not a checklist. We'll be thrilled to receive your application! 🔖 Check out our About Alan https://alan.com/about and Career https://alan.com/careers pages, as well as our Medium https://medium.com/alan, blog https://blog.alan.com/ and Glassdoor page https://www.glassdoor.com/Overview/Working-at-Alan-EI_IE1696043.11,15.htm for more info.   YOU WANT TO KNOW MORE ABOUT ALAN? 🙌 Perks & Benefits https://alan.com/en/careers/a/salary-equity: Alaners are provided with a stimulating environment and perks ensuring they are happy, efficient and spend only high-quality time with co-workers. 🤘A strong culture https://alan.com/en/about/a/leadership-principles: People joining Alan are often surprised and delighted by our innovative working method. We have a set of cultural values that guide our approach to work

Location: Singapore Workplace: Hybrid About Cantina Cantina Labs is a social AI company developing a suite of advanced video generation models. We bring characters to life, transforming how people tell stories, connect, and create. We build and power ecosystems. Cantina, our flagship social AI platform, is just the beginning. About the Internship Cantina is growing its research lab in Singapore, and we are looking for exceptional research interns to work with us on the next generation of video models in October 2026. This is a three month onsite internship designed to give you meaningful ownership of a well-defined research or engineering problem. You will be matched with a project based on your background and interests, working closely with a senior mentor from initial problem formulation through experimentation, evaluation, and, where appropriate, submission to a leading AI conference. Projects may focus on post-training and inference efficiency for video generation models, reward modeling and preference-based optimization multimodal data systems, or scalable infrastructure for video model training. The primary focus will be your core project, with opportunities to contribute to applied or product-adjacent work where relevant. What You’ll Work On Depending on your project, you may: - Research and develop distillation methods for large-scale diffusion and flow-based video generation models, including guidance and adversarial distillation - Explore techniques that reduce inference cost while preserving or improving generation quality - Develop reward models and preference-based optimization methods to improve aesthetics, motion quality, temporal consistency, and prompt adherence - Study how base-model behavior affects post-training outcomes and use experimental findings to inform model development - Design rigorous evaluations and conduct large-scale experiments on generative video models - Contribute to evaluation harnesses, model integrations, research tooling, or other product-adjacent projects related to your core work - Document and communicate your findings through research reports, internal presentations, demonstrations, and potential conference submissions You may be a good fit if you - Are currently pursuing a PhD or are a final-year master’s student in computer science, machine learning, computer vision, or a related field - Have research experience in generative modeling, computer vision, multimodal learning, or video generation - Have hands on experience with diffusion models, flow-based models, model distillation, reinforcement learning, preference optimization, or related post-training techniques - Can formulate hypotheses, design controlled experiments, analyze results, and communicate conclusions clearly - Are proficient in Python and have hands-on experience with PyTorch, JAX, or another modern machine learning framework - Are comfortable working independently on an open-ended research problem while collaborating closely with a mentor and the broader team Experience with video, image, audio, or other multimodal data is valuable. Publications at leading venues such as NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, or AAAI are a plus, but are not required. We care most about the quality of your thinking, the depth of your technical work, and your ability to learn quickly. What You Can Expect - A defined project and named senior mentor before your first day - Weekly one-on-one meetings and clear project milestones - A meaningful compute allocation for your research - The opportunity to own a complete research or engineering result - First-author positioning by default where your contribution supports a publication - Timely internal review of research intended for submission - Support for conference travel if your paper is accepted - Opportunities to demonstrate your work and receive credit for product contributions - A competitive monthly stipend - Visa and travel support for eligible international candidates - Housing support for qualifying international interns in Singapore - Equipment and resources needed to complete your work Internship Details - Location: Singapore - Duration: Three months - Working model: Onsite - Start dates: First batch starts in October 2026, second batch starts in January 2027

Location: Singapore Workplace: Hybrid About Cantina Cantina Labs is a social AI company developing a suite of advanced video generation models. We bring characters to life, transforming how people tell stories, connect, and create. We build and power ecosystems. Cantina, our flagship social AI platform, is just the beginning. About the Internship Cantina is growing its research lab in Singapore, and we are looking for exceptional machine learning interns to work with us on the next generation of video models in October 2026. This is a three month onsite internship designed to give you meaningful ownership of a well-defined research or engineering problem. You will be matched with a project based on your background and interests, working closely with a senior mentor from initial problem formulation through experimentation, evaluation, and, where appropriate, submission to a leading AI conference. Projects may focus on post-training and inference efficiency for video generation models, reward modeling and preference-based optimization, multimodal data systems, or scalable infrastructure for video model training. The primary focus will be your core project, with opportunities to contribute to applied or product-adjacent work where relevant. What You’ll Work On Depending on your project, you may: - Develop reward models to improve aesthetics, motion quality, temporal consistency, and prompt adherence - Study how base-model behavior affects post-training outcomes and use experimental findings to inform model development - Design rigorous evaluations and conduct large-scale experiments on generative video models - Build systems for ingesting, preprocessing, curating, and delivering large-scale video datasets - Develop distributed pipelines for dataset generation, deduplication, preprocessing, and repeated dataset refreshes - Improve the reliability, reproducibility, and efficiency of data and model-training workflows - Build tooling for video and multimodal data using technologies such as FFmpeg, PyAV, DALI, or OpenCV - Contribute to evaluation harnesses, model integrations, research tooling, or other product-adjacent projects related to your core work - Document and communicate your findings through research reports, internal presentations, demonstrations, and potential conference submissions You may be a good fit if you - Are pursuing a bachelor’s or master’s degree in computer science, engineering, machine learning, or a related field - Have experience building data pipelines, ML infrastructure, or distributed systems through research, coursework, open-source contributions, or previous internships - Are familiar with tools such as Ray, PySpark, Airflow, Docker, Kubernetes, or equivalent technologies - Have worked with cloud storage or compute platforms such as AWS, Google Cloud, or Azure - Understand practical considerations around data throughput, storage layout, caching, monitoring, and failure recovery - Are proficient in Python and interested in building reliable systems for large-scale machine learning Experience with video, image, audio, or other multimodal data is valuable. Publications at leading venues such as NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, or AAAI are a plus, but are not required. We care most about the quality of your thinking, the depth of your technical work, and your ability to learn quickly. What You Can Expect - A defined project and named senior mentor before your first day - Weekly one-on-one meetings and clear project milestones - A meaningful compute allocation for your research - The opportunity to own a complete research or engineering result - First-author positioning by default where your contribution supports a publication - Timely internal review of research intended for submission - Support for conference travel if your paper is accepted - Opportunities to demonstrate your work and receive credit for product contributions - A competitive monthly stipend - Visa and travel support for eligible international candidates - Housing support for qualifying international interns in Singapore - Equipment and resources needed to complete your work Internship Details - Location: Singapore - Duration: Three months - Working model: Onsite - Start dates: Start dates: First batch starts in October 2026; second batch starts in January 2027