{"version":"0.1","company":{"name":"YubHub","url":"https://yubhub.co","jobsUrl":"https://yubhub.co/jobs/skill/data-quality"},"x-facet":{"type":"skill","slug":"data-quality","display":"Data Quality","count":96},"x-feed-size-limit":100,"x-feed-sort":"enriched_at desc","x-feed-notice":"This feed contains at most 100 jobs (the most recently enriched). For the full corpus, use the paginated /stats/by-facet endpoint or /search.","x-generator":"yubhub-xml-generator","x-rights":"Free to redistribute with attribution: \"Data by YubHub (https://yubhub.co)\"","x-schema":"Each entry in `jobs` follows https://schema.org/JobPosting. YubHub-native raw fields carry `x-` prefix.","jobs":[{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_5224e558-226"},"title":"Associate Director, Cell Therapy Logistics Coordinator Lead","description":"<p>In AstraZeneca&#39;s Cell Therapy division, we are working towards treating, preventing, modifying, and even curing some of the world&#39;s most complex diseases. We have the potential to grow our pipeline and positively impact the lives of patients around the world. This role is part of the Cell Therapy Supply Chain team tasked with supporting critical development of supply chain logistics capability and process.</p>\n<p>The Associate Director, Cell Therapy Logistics Coordinator Lead is the first-line operational lead and primary “go-to” for Logistics Coordinators (LCs) supporting autologous, allogeneic, and in vivo studies. As an individual contributor, you will oversee day-to-day execution across your assigned lanes/sites/programs, implement slot-management rules, balance and assign LC workload (including overtime/after-hours coverage), coach on best practices, and step in to perform LC tasks to maintain service levels.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>V2V execution and first-line support: Serve as operational point of contact for LCs; coordinate apheresis collections, manufacturing slot reservations, and temperature-controlled IMP/starting-material shipments; perform LC tasks to cover surge/backlog or critical paths.</li>\n</ul>\n<ul>\n<li>Slot management and scheduling: Implement established slot-management rules and guardrails; manage slot calendars and rescheduling across assigned studies/sites; align to manufacturing cycle/hold times and capacity; lead escalations to minimize patient impact.</li>\n</ul>\n<ul>\n<li>Shipment booking and exception management: Plan/oversee temperature-controlled bookings (LN2, 2–8 °C, ambient, OBC); coordinate pickups, customs clearance, and deliveries to meet release windows; monitor in-transit status; lead real-time recovery for delays, excursions, and holds with vendors and internal teams; ensure off-hours/overtime coverage.</li>\n</ul>\n<ul>\n<li>COI/COC and compliance: Ensure end-to-end COI/COC traceability and audit-ready documentation; support deviation investigations and implement CAPAs with Quality; uphold QMS/GxP/GDP.</li>\n</ul>\n<ul>\n<li>LC workload distribution and standards: Balance and assign shipments/patients/studies based on capacity/complexity; set day-to-day priorities; schedule overtime/after-hours coverage; reinforce SOPs/WIs/playbooks; deliver coaching and continuous feedback (no direct line management).</li>\n</ul>\n<ul>\n<li>Training and onboarding: Own onboarding plans for new LCs; provide recurring training on SOPs/WIs, systems, COI/COC controls, and exception playbooks; run shift handovers and huddles.</li>\n</ul>\n<ul>\n<li>Systems and data quality: Ensure timely/accurate milestones in cell orchestration/scheduling platforms and courier/LSP portals; lead UAT for enhancements; maintain user guides/work instructions; coach LCs on data quality standards.</li>\n</ul>\n<ul>\n<li>Reporting and analytics: Build and maintain operational KPIs (slot utilization, on-time pickup/delivery, cycle time, reschedule rate, excursion rate, deviation closure time); perform trend/RCA and drive corrective actions; provide concise readouts to study/leadership forums; partner with the separate analytics team for advanced modeling and capacity scenarios.</li>\n</ul>\n<ul>\n<li>Vendor and lane oversight (day-to-day): Manage shipment-level vendor issues and recoveries; coordinate contingencies/alternative routings; capture performance trends and incident summaries to inform the dedicated vendor management function and Quality/Procurement.</li>\n</ul>\n<ul>\n<li>Cross-functional coordination: Represent Logistics Operations in study/operational meetings; align with Global Planning/Manufacturing/Clinical/Depot Ops; support EU GDP handoffs and trade compliance with brokers and Legal/Compliance.</li>\n</ul>\n<ul>\n<li>Change readiness: Support logistics readiness for new indications, capabilities, facilities, and digital/process changes; lead hyper care for first-patient/first-site within assigned portfolio; train LCs on changes.</li>\n</ul>\n<p>We are seeking a highly experienced professional with 8+ years in biopharma clinical logistics/supply chain with significant cell therapy V2V execution (COI/COC, cryogenic/refrigerated logistics, specialty couriers). Proven real-time problem-solving and shipment recovery; shift/coverage leadership.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_5224e558-226","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Celeste Chang (21986590) (Inherited)","sameAs":"https://astrazeneca.eightfold.ai","logo":"https://logos.yubhub.co/astrazeneca.eightfold.ai.png"},"x-apply-url":"https://astrazeneca.eightfold.ai/careers/job/563877689782667","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$115K-$173K","x-skills-required":["cell therapy","supply chain","logistics","clinical operations","manufacturing","quality","regulatory","trade compliance","data quality","reporting","analytics","vendor management","cross-functional coordination","change readiness"],"x-skills-preferred":[],"datePosted":"2026-04-18T22:13:18.379Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Tarzana, California, United States of America"}},"employmentType":"FULL_TIME","occupationalCategory":"Operations","industry":"Healthcare","skills":"cell therapy, supply chain, logistics, clinical operations, manufacturing, quality, regulatory, trade compliance, data quality, reporting, analytics, vendor management, cross-functional coordination, change readiness","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":115000,"maxValue":173000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_9bcc033f-15c"},"title":"GenAI Strategic Projects Lead, Public Sector","description":"<p>We&#39;re seeking a GenAI Strategic Projects Lead to own high-impact projects that drive revenue and experimentation. In this role, you&#39;ll work across operations, engineering, and customer engagement to produce world-class training and test and evaluation data for Large Language Models for our Public Sector customers.</p>\n<p>This role offers a rare opportunity to make a meaningful impact at the intersection of AI and national security. You will help build Generative AI data-labeling pipelines from the ground up, create operational processes to manage and optimize an in-house expert data workforce, and develop novel technology-driven approaches (e.g., scripts, prompt engineering, hybrid data) to improve the quality of our training and evaluation datasets.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Develop, build, and maintain the infrastructure required to ensure data pipelines are efficient, scalable, and produce high-quality outputs</li>\n<li>Take ownership of day-to-day progress on high-priority data production pipelines, ensuring projects move forward efficiently</li>\n<li>Partner with subject matter experts in their fields to validate the quality of our data and to translate deep domain knowledge into scalable processes and measurable outcomes</li>\n<li>Work closely with customers to understand their requirements and design data taxonomies that optimize model performance</li>\n<li>Utilize analytics and data visualization tools to track progress, identify bottlenecks, and make data-driven decisions to optimize pipeline performance</li>\n<li>Influence cross-org collaboration to define and advance human data strategy, influencing technical and non-technical stakeholders to ensure data quality, scalability, and long-term platform leverage</li>\n<li>Own larger and larger components of our data delivery processes, until you ultimately serve as the full owner of our most visible and high impact customer pipelines</li>\n</ul>\n<p>You have:</p>\n<ul>\n<li>5+ years of experience in product development, data science, or operations</li>\n<li>A history of successful project management and comfort in ambiguity</li>\n<li>Ability to analyze complex operational data, build queries, and identify trends to inform decisions and optimize processes</li>\n<li>Technical aptitude to understand how to produce data for state of the art post-training techniques such as supervised fine tuning (SFT), reinforcement learning through human feedback (RLHF), Reinforcement Learning with Verifiable Rewards (RLVR) etc</li>\n</ul>\n<p>Nice to have:</p>\n<ul>\n<li>Experience working in defense tech and/or an AI company</li>\n<li>A technical degree in fields like computer science, data science, or engineering</li>\n<li>A deep understanding of ML operations for generative AI workflows / products</li>\n<li>An active Top Secret security clearance</li>\n</ul>\n<p>Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training.</p>\n<p>Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.</p>\n<p>The base salary range for this full-time position in the location of Washington DC is: $169,600-$212,000 USD</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_9bcc033f-15c","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Scale","sameAs":"https://scale.com/","logo":"https://logos.yubhub.co/scale.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/scaleai/jobs/4648363005","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$169,600-$212,000 USD","x-skills-required":["product development","data science","operations","project management","complex operational data analysis","data visualization tools","cross-org collaboration","human data strategy","data quality","scalability","long-term platform leverage"],"x-skills-preferred":["defense tech","AI company","computer science","engineering","ML operations","generative AI workflows","Top Secret security clearance"],"datePosted":"2026-04-18T16:01:47.128Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Washington, DC"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"product development, data science, operations, project management, complex operational data analysis, data visualization tools, cross-org collaboration, human data strategy, data quality, scalability, long-term platform leverage, defense tech, AI company, computer science, engineering, ML operations, generative AI workflows, Top Secret security clearance","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":169600,"maxValue":212000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_d7e93153-31c"},"title":"Senior Treasury Analyst","description":"<p>We&#39;re seeking a Senior Treasury Analyst to join our team. As a Senior Treasury Analyst, you will play a central part in building and running the company&#39;s Treasury Operations foundation. You&#39;ll manage core activities such as daily cash positioning, global bank account administration, intercompany funding, payment controls, and Treasury reporting - while improving processes so the function scales efficiently as the company grows.\\n\\nThis is a hands-on role for someone who enjoys both execution and process building. You should be comfortable running key day-to-day activities while identifying opportunities to improve, automate, and strengthen controls.\\n\\nKey Responsibilities:\\n\\n<em> Manage daily cash positioning across entities and currencies, including tracking balances and consolidating cash activity\\n</em> Lead global bank account management; account opening and closing coordination, signer updates, KYC documentation, and portal administration\\n<em> Help design and manage intercompany settlement and funding processes, including documentation and ongoing improvement\\n</em> Maintain short-term cash forecasting, including variance tracking and reporting\\n<em> Support payment workflows and controls; approval routing, exception handling, operational process improvements\\n</em> Support Letter of Credit and Bank Guarantee issuance and post-M&amp;A Treasury integration activities\\n\\nSystems &amp; Automation:\\n\\n<em> Support TMS implementation, bank connectivity, reporting enhancements, and process standardization\\n</em> Design the &quot;Claudification&quot; layer: identify which workflows go touchless, build the automation, keep humans in the decisions that need judgment\\n<em> Partner with Finance Systems to simplify and automate Treasury processes\\n</em> Own Treasury data quality - the source of truth that everything downstream depends on\\n\\nControls &amp; Governance:\\n\\n<em> Execute Treasury processes with strong focus on controls, documentation, segregation of duties, and audit readiness\\n</em> Support development and maintenance of Treasury policies, procedures, and control documentation\\n<em> Document Treasury controls for SOX readiness; not as a separate project, but as how the work gets done\\n</em> Partner with Accounting on close activities, reporting, and audit requests\\n\\nRequirements:\\n\\n<em> 5–8 years in Treasury operations, ideally at a growth-stage or scaling company where you saw processes get built, not just inherited\\n</em> You currently own the daily cash position. You log into the bank portals, you run the position, you execute the wires. This is a doing role, not a managing role\\n<em> Treasury-native depth. You came up through Treasury; TMS, KYC mechanics, bank account administration, cash positioning judgment. This isn&#39;t a payments-processing seat; it&#39;s a Treasury seat\\n</em> Player-coach DNA. You still do the work; run the cash position, chase the KYC doc, troubleshoot the wire - while building the system so nobody has to do it manually next quarter\\n<em> Hands-on TMS experience. You&#39;ve worked in a Treasury Management System (Kyriba, GTreasury, Trovata, Quantum, or similar): configured it, broken it, fixed it. Implementation experience is a plus but not required\\n</em> SOX in your DNA. You think in audit trails, approval chains, and segregation of duties; not because compliance makes you, but because well-controlled processes are the ones that scale\\n<em> Comfort with ambiguity. There&#39;s no playbook here. You&#39;ll write it\\n</em> AI-first mindset. Not a prompt engineer; a Treasury person who wants the model handling data so you can focus on decisions.\\n\\nPreferred Qualifications:\\n\\n<em> Exposure to SOX readiness or IPO prep, even as a contributor\\n</em> Multi-entity, multi-currency operations background\\n<em> Worked with bank APIs or Treasury aggregators (Trovata, Kyriba, or direct connectivity)\\n</em> APAC or EMEA bank account opening experience</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_d7e93153-31c","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anthropic","sameAs":"https://www.anthropic.com/","logo":"https://logos.yubhub.co/anthropic.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/anthropic/jobs/5178467008","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$140,000-$175,000 USD","x-skills-required":["Treasury operations","Cash positioning","Global bank account management","Intercompany funding","Payment controls","Treasury reporting","TMS implementation","Bank connectivity","Reporting enhancements","Process standardization","Data quality","SOX readiness","Audit readiness","Treasury policies","Procedures","Control documentation"],"x-skills-preferred":["IPO prep","Multi-entity operations","Multi-currency operations","Bank APIs","Treasury aggregators","APAC bank account opening","EMEA bank account opening"],"datePosted":"2026-04-18T16:00:06.272Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA"}},"employmentType":"FULL_TIME","occupationalCategory":"Finance","industry":"Technology","skills":"Treasury operations, Cash positioning, Global bank account management, Intercompany funding, Payment controls, Treasury reporting, TMS implementation, Bank connectivity, Reporting enhancements, Process standardization, Data quality, SOX readiness, Audit readiness, Treasury policies, Procedures, Control documentation, IPO prep, Multi-entity operations, Multi-currency operations, Bank APIs, Treasury aggregators, APAC bank account opening, EMEA bank account opening","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":140000,"maxValue":175000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_1ab22bcd-bdc"},"title":"Product Marketing Lead, GenAI","description":"<p>At Scale, we&#39;re looking for a Product Marketing Lead to join our team. As a Product Marketing Lead, you will own positioning and messaging for Scale&#39;s GenAI data products, articulating our differentiation on data quality, delivery speed, and multimodal breadth in a way that resonates with AI researchers and technical buyers.</p>\n<p>You will lead the content and social strategy for Scale Labs&#39; dedicated online presence, taking a research-native approach that earns attention and credibility from the AI community. You will build and maintain competitive intelligence and a sharp point of view on the data market, arming the team with differentiated positioning as the market evolves.</p>\n<p>You will partner with Scale Labs researchers to amplify published work - leaderboards, benchmarks, and research papers - and translate it into pipeline and demand generation for the GenAI business. You will develop go-to-market strategies for new data offerings and modalities, working closely with product and sales to drive awareness and build market momentum.</p>\n<p>You will collaborate cross-functionally with sales, engineering, and research to ensure consistent, compelling messaging across every customer touchpoint.</p>\n<p>Ideally, you&#39;d have 5+ years of experience in product marketing, with a track record of marketing technical products to developer or research audiences. You should have strong technical fluency and passion for AI, with the ability to hold a credible conversation about AI/ML fundamentals, training, and the role of data quality in model performance.</p>\n<p>You should also have experience building social-native content and community strategies on platforms like X, with an instinct for what resonates with technical practitioners. You should have excellent written communication and storytelling skills, with the ability to make complex technical concepts compelling without oversimplifying them.</p>\n<p>Nice to haves include familiarity with the AI training data market, or adjacent data and infrastructure spaces, as well as an existing network or relationships within the AI research community.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_1ab22bcd-bdc","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Scale","sameAs":"https://scale.com/","logo":"https://logos.yubhub.co/scale.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/scaleai/jobs/4675758005","x-work-arrangement":"hybrid","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":"$155,200-$194,000 USD","x-skills-required":["product marketing","technical product marketing","AI/ML fundamentals","data quality","delivery speed","multimodal breadth","competitive intelligence","social media marketing","content strategy","community management"],"x-skills-preferred":["familiarity with AI training data market","adjacent data and infrastructure spaces","existing network or relationships within AI research community"],"datePosted":"2026-04-18T15:59:46.570Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA; New York, NY"}},"employmentType":"FULL_TIME","occupationalCategory":"Marketing","industry":"Technology","skills":"product marketing, technical product marketing, AI/ML fundamentals, data quality, delivery speed, multimodal breadth, competitive intelligence, social media marketing, content strategy, community management, familiarity with AI training data market, adjacent data and infrastructure spaces, existing network or relationships within AI research community","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":155200,"maxValue":194000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_c85087bb-6a8"},"title":"AI Tutor - Danish","description":"<p>As an AI Tutor specialized in multilingual audio capabilities, you will contribute to xAI&#39;s mission by training and refining Grok to excel in voice interactions, speech recognition, and auditory experiences across diverse languages, accents, and cultural contexts.</p>\n<p>Your work will focus on curating and annotating high-quality audio data to enhance Grok&#39;s global accessibility, enabling natural spoken interactions for users worldwide, bridging language barriers through accurate speech processing, and improving the AI&#39;s handling of multilingual audio nuances.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Use proprietary software to provide labels, annotations, recordings, and inputs on projects involving multilingual audio clips, voice recordings, speech samples, and auditory elements in various languages.</li>\n</ul>\n<ul>\n<li>Support the delivery of high-quality curated audio data that ensures clear, natural spoken output, accurate representation of linguistic and prosodic details (such as intonation, rhythm, and accent), and professional audio standards.</li>\n</ul>\n<ul>\n<li>Collaborate with technical staff to develop tasks that improve AI&#39;s ability to handle speech modulation, accent variation, noise in real-world recordings, and multilingual audio processing.</li>\n</ul>\n<ul>\n<li>Work with technical staff to improve annotation tools for efficient audio workflows.</li>\n</ul>\n<p>Basic Qualifications:</p>\n<ul>\n<li>Native proficiency in Danish with exposure to diverse accents, dialects, or regional variations.</li>\n</ul>\n<ul>\n<li>Proficiency in English (minimum B2 level) with clear, natural vocal delivery and pronunciation suitable for audio recording purposes.</li>\n</ul>\n<ul>\n<li>Strong auditory perception to identify nuances in speech, accents, pronunciation, intonation, and audio quality across languages.</li>\n</ul>\n<ul>\n<li>Demonstrated ability to handle multilingual audio content, including evaluating speech accuracy, cultural vocal expressions, and contextual interpretation in spoken form.</li>\n</ul>\n<ul>\n<li>Demonstrated ability to transcribe audio with high accuracy across accents and varying audio quality.</li>\n</ul>\n<ul>\n<li>Comfort providing high-quality voice recordings and feedback on audio samples in multiple languages.</li>\n</ul>\n<ul>\n<li>Strong comprehension skills and the ability to make independent judgments on ambiguous or varied audio material, including noisy or accented speech.</li>\n</ul>\n<ul>\n<li>Strong communication, interpersonal, analytical, detail-oriented, and organizational skills, with the ability to articulate audio-related feedback effectively.</li>\n</ul>\n<ul>\n<li>Commitment to developing AI that masters sophisticated multilingual audio capabilities.</li>\n</ul>\n<p>Preferred Skills and Experience:</p>\n<ul>\n<li>Demonstration of exceptional attention to linguistic nuance, auditory detail, and data quality beyond standard transcription work.</li>\n</ul>\n<ul>\n<li>Deep understanding and taste of what good/useful Audio data is.</li>\n</ul>\n<ul>\n<li>Strong command of advanced transcription and annotation practices, including handling disfluencies, accents, and prosodic features (intonation, stress, rhythm, emotion, etc) with high consistency and accuracy.</li>\n</ul>\n<ul>\n<li>Background in linguistics (e.g., phonetics, phonology, sociolinguistics), speech sciences, cognitive science, or a related field, or equivalent practical experience, with demonstrated ability to analyze accent variation, pronunciation differences, and multilingual speech patterns.</li>\n</ul>\n<ul>\n<li>Experience working with speech/audio datasets, annotation workflows, or AI training data, including knowledge/experience with training voice models, and an understanding of how data quality impacts model performance.</li>\n</ul>\n<ul>\n<li>Professional experience in voice work, including voice acting, voice recording, podcasting with a measurable audience (e.g., X following), or similar audio production demonstrating attention to clarity and recording quality.</li>\n</ul>\n<ul>\n<li>Demonstrated ability to exercise independent judgment in ambiguous audio scenarios and make consistent, defensible annotation decisions.</li>\n</ul>\n<ul>\n<li>Portfolio (strongly preferred for advanced candidates): Voice samples, annotated transcripts, or audio-related work demonstrating quality, methodology, and attention to detail.</li>\n</ul>\n<ul>\n<li>Candidates with professional experience in voice, linguistics, speech data, or speech evaluation and research are especially encouraged to apply.</li>\n</ul>\n<p>Location and Other Expectations:</p>\n<ul>\n<li>Tutor roles may be offered as full-time, part-time, or contractor positions, depending on role needs and candidate fit.</li>\n</ul>\n<ul>\n<li>For contractor positions, hours will vary widely based on project scope and contractor availability, with no fixed commitments required. On average, most projects may require at least 10 hours per week to deliver effectively, though this is not a fixed commitment and depends on the scope of work. Contractors have full flexibility to set their own hours and determine the exact amount of time needed to complete deliverables.</li>\n</ul>\n<ul>\n<li>Tutor roles may be performed remotely from any location worldwide, subject to legal eligibility, time-zone compatibility, and role-specific needs.</li>\n</ul>\n<ul>\n<li>For US-based candidates, please note that we are unable to hire in Wyoming and Illinois at this time.</li>\n</ul>\n<ul>\n<li>We are unable to provide visa sponsorship.</li>\n</ul>\n<ul>\n<li>For those who will be working from a personal device, your computer must be a Chromebook, a Mac with macOS 11.0 or later, or Windows 10 or later.</li>\n</ul>\n<p>Compensation and Benefits:</p>\n<p>US-based candidates: $35/hour - $45/hour depending on factors including relevant experience, skills, education, geographic location, and qualifications. International candidates: Information will be provided to you during the recruitment process.</p>\n<p>Benefits vary based on employment type, location, and jurisdiction. Benefits for eligible U.S.-based positions include health insurance, 401(k) plan, and paid sick leave. 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As a leader, you will partner with product and business teams to drive key data initiatives and ensure the success of our data engineering team.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Next-Gen Platform Evolution: Partner with product and business teams to design and implement the next generation of our data stack, ensuring it can meet the demands of advanced analytics and AI applications.</li>\n</ul>\n<ul>\n<li>Enablement Through Tooling: Partner closely with Analytics Engineers, Analysts, and Data Scientists to build self-service tooling and infrastructure that enables them to move fast and deploy safely.</li>\n</ul>\n<ul>\n<li>Data Quality Guardianship: Implement advanced monitoring systems to proactively detect, surface, and resolve data quality issues across our high-throughput environment.</li>\n</ul>\n<ul>\n<li>Driving Automation: Develop automation and tooling that streamlines the creation and discovery of high-quality analytics data, making the entire data lifecycle more efficient.</li>\n</ul>\n<p>Strategic Impact You&#39;ll Drive:</p>\n<ul>\n<li>GTM Data Platform Strategy: Build the data acquisition strategy that will enable us to build the next generation of business-focused internal software.</li>\n</ul>\n<ul>\n<li>Conversational BI Strategy: Lead the charge to shift away from complex, technical reporting toward natural language interaction to make data truly democratized and accessible.</li>\n</ul>\n<ul>\n<li>Platform &amp; Warehousing Strategy: Lead the architectural- and cost review and revamp of our core data infrastructure to ensure it can scale exponentially for future growth and advanced use cases.</li>\n</ul>\n<p>Recent Wins You&#39;ll Build Upon:</p>\n<ul>\n<li>AI-assisted Local Analytics Development Environment for Airflow and DBT.</li>\n</ul>\n<ul>\n<li>Data-rich AI apps containerized on Snowflake SPCS.</li>\n</ul>\n<ul>\n<li>A new, modern data catalog solution.</li>\n</ul>\n<ul>\n<li>Migrating critical MySQL ingestion pipelines from Aurora to PlanetScale.</li>\n</ul>\n<p>Who You Are:</p>\n<ul>\n<li>A leader, a builder, and a problem-solver who thrives on solving real-world business problems.</li>\n</ul>\n<ul>\n<li>7+ years of experience in the data space, leading teams of 6+ engineers.</li>\n</ul>\n<ul>\n<li>Stakeholder focus: ability to communicate complex technical solutions to a business-focused audience and vice versa.</li>\n</ul>\n<ul>\n<li>Technical depth: not afraid to get hands dirty and write code when needed.</li>\n</ul>\n<ul>\n<li>A leader and mentor: naturally recognizes opportunities to step back and mentor others.</li>\n</ul>\n<p>Bonus Points (Our Modern Stack Knowledge):</p>\n<ul>\n<li>Airflow at scale: extensive experience working with Apache Airflow, especially the nuances of operating it reliably in a high-volume environment.</li>\n</ul>\n<ul>\n<li>Modern data stack fluency: familiarity with tools like Snowflake and DBT.</li>\n</ul>\n<ul>\n<li>Future-focused: keeps a keen eye on industry trends and emerging technologies.</li>\n</ul>\n<p>Benefits:</p>\n<ul>\n<li>Competitive salary and equity in a fast-growing start-up.</li>\n</ul>\n<ul>\n<li>We serve lunch every weekday, plus a variety of snack foods and a fully stocked kitchen.</li>\n</ul>\n<ul>\n<li>Regular compensation reviews - we reward great work!</li>\n</ul>\n<ul>\n<li>Pension scheme &amp; match up to 4%.</li>\n</ul>\n<ul>\n<li>Peace of mind with life assurance, as well as comprehensive health and dental insurance for you and your dependents.</li>\n</ul>\n<ul>\n<li>Open vacation policy and flexible holidays so you can take time off when you need it.</li>\n</ul>\n<ul>\n<li>Paid maternity leave, as well as 6 weeks paternity leave for fathers, to let you spend valuable time with your loved ones.</li>\n</ul>\n<ul>\n<li>If you’re cycling, we’ve got you covered on the Cycle-to-Work Scheme. With secure bike storage too.</li>\n</ul>\n<ul>\n<li>MacBooks are our standard, but we also offer Windows for certain roles when needed.</li>\n</ul>\n<p>Policies:</p>\n<ul>\n<li>Intercom has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home.</li>\n</ul>\n<ul>\n<li>We have a radically open and accepting culture at Intercom. 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Since 2018, we&#39;ve been pioneering data-centric approaches that are fundamental to AI development, and our work becomes even more essential as AI capabilities expand exponentially.</p>\n<p>As an Applied Research Engineer at Labelbox, you will be at the forefront of developing cutting-edge systems and methods to create, analyze, and leverage high-quality human-in-the-loop data for frontier model developers. Your role will involve designing and implementing advanced systems that align human feedback into AI training processes, such as Reinforcement Learning from Human Feedback (RLHF), Direct Preference Optimization (DPO), etc. You will also work on innovative techniques to measure and improve human data quality, and develop AI-assisted tools to enhance the data labeling process.</p>\n<p>Your Impact</p>\n<ul>\n<li>Advance the field of AI alignment by developing cutting-edge methods, such as RLHF and novel approaches, that ensure AI systems reflect human preferences more accurately.</li>\n</ul>\n<ul>\n<li>Improve the quality of human-in-the-loop data by designing and deploying rigorous measurement and enhancement systems, leading to more reliable AI training.</li>\n</ul>\n<ul>\n<li>Increase efficiency and effectiveness in AI-assisted data labeling by creating tools that leverage active learning and adaptive sampling, reducing manual effort while improving accuracy.</li>\n</ul>\n<ul>\n<li>Shape the next generation of AI models by investigating how different types of human feedback (e.g., demonstrations, preferences, critiques) impact model performance and alignment.</li>\n</ul>\n<ul>\n<li>Optimize human feedback collection by developing novel algorithms that enhance how AI learns from human input, improving model adaptability and responsiveness.</li>\n</ul>\n<ul>\n<li>Bridge research and real-world application by integrating breakthroughs into Labelbox’s product suite, making human-AI alignment techniques scalable and impactful for users.</li>\n</ul>\n<ul>\n<li>Drive industry innovation by engaging with customers and the broader AI community to understand evolving data needs and share best practices for training frontier models.</li>\n</ul>\n<ul>\n<li>Contribute to the AI research ecosystem by publishing in top-tier journals, presenting at leading conferences, and influencing the future of human-centric AI.</li>\n</ul>\n<ul>\n<li>Stay ahead of AI advancements by continuously exploring new frontiers in human-AI collaboration, human data quality, and AI alignment, keeping Labelbox at the cutting edge.</li>\n</ul>\n<ul>\n<li>Establish Labelbox as a thought leader in AI by creating technical documentation, blog posts, and educational content that shape the industry&#39;s approach to human-centric AI development.</li>\n</ul>\n<p>What You Bring</p>\n<ul>\n<li>A strong foundation in AI and machine learning, backed by a Ph.D. or Master’s degree in Computer Science, Machine Learning, AI, or a related field.</li>\n</ul>\n<ul>\n<li>Proven experience (3+ years) in solving complex ML challenges and delivering impactful solutions that improve real-world AI applications.</li>\n</ul>\n<ul>\n<li>Expertise in designing and implementing data quality measurement and refinement systems that directly enhance model performance and reliability.</li>\n</ul>\n<ul>\n<li>A deep understanding of frontier AI models,such as large language models and multimodal models,and the human data strategies needed to optimize them.</li>\n</ul>\n<ul>\n<li>Proficiency in Python and experience with deep learning frameworks like PyTorch, JAX, or TensorFlow to prototype and develop cutting-edge solutions.</li>\n</ul>\n<ul>\n<li>A track record of publishing in top-tier AI/ML conferences (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP, NAACL) and contributing to the broader research community.</li>\n</ul>\n<ul>\n<li>The ability to bridge research and application by interpreting new findings and rapidly translating them into functional prototypes.</li>\n</ul>\n<ul>\n<li>Strong analytical and problem-solving skills that enable you to tackle ambiguous AI challenges with structured, data-driven approaches.</li>\n</ul>\n<ul>\n<li>Exceptional communication and collaboration skills, allowing you to work effectively across multidisciplinary teams and with external stakeholders.</li>\n</ul>\n<p>Labelbox Applied Research</p>\n<p>At Labelbox Applied Research, we&#39;re committed to pushing the boundaries of AI and data-centric machine learning, with a particular focus on advanced human-AI interaction techniques. We believe that high-quality human data and sophisticated human feedback integration methods are key to unlocking the next generation of AI capabilities. Our research team works at the intersection of machine learning, human-computer interaction, and AI ethics to develop innovative solutions that can be practically applied in real-world scenarios.</p>\n<p>We foster an environment of intellectual curiosity, collaboration, and innovation. We encourage our researchers to explore new ideas, engage in open discussions, and contribute to the wider AI community through publications and conference presentations. 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This role sits at the intersection of Revenue Operations, Data Engineering, and Go-to-Market strategy, and is responsible for building and maintaining a best-in-class enrichment infrastructure that delivers a reliable, comprehensive source of truth for company and contact data across global markets.</p>\n<p>You will be the subject matter expert and product owner for all enrichment tools, data sources, and processes,including platforms like Clay, Dun &amp; Bradstreet, ZoomInfo, and other third-party providers. You will design and operate the systems that power account hierarchies, firmographic enrichment, contact discovery, and signal detection, ensuring our GTM teams have the accurate, complete data they need to identify, prioritize, and close business.</p>\n<p>This is a hands-on, technically-oriented role that requires deep experience working with large datasets, complex system integrations, and Salesforce data modeling. You will collaborate closely with Sales, Marketing, Data Science, Data Engineering, and Revenue Operations to ensure our enrichment strategy supports both near-term GTM execution and long-term data infrastructure goals.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Own the end-to-end enrichment strategy and roadmap, serving as the product owner for all enrichment tools, vendors, and data sources including Clay, Dun &amp; Bradstreet, ZoomInfo, and emerging providers</li>\n</ul>\n<ul>\n<li>Build and maintain a unified enrichment master,a reliable source of truth for company and person data including parent-child account hierarchies, firmographics, technographics, and contact intelligence across domestic and international markets</li>\n</ul>\n<ul>\n<li>Design and implement waterfall enrichment workflows that orchestrate multiple data providers to maximize coverage, accuracy, and cost efficiency while minimizing redundancy</li>\n</ul>\n<ul>\n<li>Architect enrichment data models within Salesforce, making strategic decisions about how enrichment data is stored, related, and surfaced (e.g., custom objects vs. direct field integration, parent account structures, enrichment audit trails)</li>\n</ul>\n<ul>\n<li>Hands-on data manipulation and transformation,write queries, build data pipelines, and work directly with data warehouses (e.g., Snowflake, BigQuery) to clean, transform, match, and deduplicate enrichment data at scale</li>\n</ul>\n<ul>\n<li>Lead international enrichment strategy, addressing the unique challenges of enriching company and contact data across global markets with varying data availability, provider coverage, and regulatory requirements</li>\n</ul>\n<ul>\n<li>Partner with Data Science and Data Engineering to define enrichment schemas, resolve entity matching challenges, and build scalable infrastructure that supports both real-time and batch enrichment processes</li>\n</ul>\n<ul>\n<li>Collaborate with Sales, Marketing, and Revenue Operations to understand GTM data needs, translate business requirements into enrichment solutions, and ensure enrichment outputs directly support pipeline generation, territory planning, lead routing, and account scoring</li>\n</ul>\n<ul>\n<li>Define and track enrichment KPIs including match rates, data completeness, freshness, accuracy, and downstream GTM impact,using metrics to continuously improve the enrichment ecosystem</li>\n</ul>\n<ul>\n<li>Evaluate and onboard new enrichment vendors and data sources, conducting proof-of-concept testing and negotiating contracts in partnership with procurement</li>\n</ul>\n<ul>\n<li>Explore and implement AI-powered enrichment capabilities, including prompt-based enrichment using LLMs to supplement traditional data providers for emerging companies, startups, and hard-to-enrich segments</li>\n</ul>\n<p>You may be a good fit if you have:</p>\n<ul>\n<li>10+ years of experience in data enrichment, data operations, or revenue/marketing operations with hands-on ownership of enrichment tools and strategy in a B2B SaaS or enterprise technology environment</li>\n</ul>\n<ul>\n<li>Deep expertise with enrichment platforms such as Clay, Dun &amp; 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However, some roles may require more time in our offices.</p>\n<p>Visa sponsorship: We do sponsor visas! However, we aren’t able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.</p>\n<p>We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you’re interested in this work. We think AI systems like the one</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_b1fa4435-fc2","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anthropic","sameAs":"https://www.anthropic.co/","logo":"https://logos.yubhub.co/anthropic.co.png"},"x-apply-url":"https://job-boards.greenhouse.io/anthropic/jobs/5127289008","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$190,000-$270,000 USD","x-skills-required":["data enrichment","data operations","revenue/marketing operations","enrichment tools","enrichment strategy","salesforce","sql","data warehouses","etl/reverse etl pipelines","apis","data transformation tools","product ownership","roadmaps","backlogs","stakeholder priorities","technical requirements","cross-functional teams","data science","data engineering","infrastructure","schema design","pipeline and territory optimization","communication skills","technical and business audiences","stakeholder discovery sessions","present enrichment strategy and impact to leadership"],"x-skills-preferred":["ai-powered enrichment","llms","prompt-based enrichment","emerging companies","startups","hard-to-enrich segments","data quality","mdm frameworks","routing and scoring tools","marketing automation platforms","startup signal detection"],"datePosted":"2026-04-18T15:35:39.147Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA | New York City, NY"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"data enrichment, data operations, revenue/marketing operations, enrichment tools, enrichment strategy, salesforce, sql, data warehouses, etl/reverse etl pipelines, apis, data transformation tools, product ownership, roadmaps, backlogs, stakeholder priorities, technical requirements, cross-functional teams, data science, data engineering, infrastructure, schema design, pipeline and territory optimization, communication skills, technical and business audiences, stakeholder discovery sessions, present enrichment strategy and impact to leadership, ai-powered enrichment, llms, prompt-based enrichment, emerging companies, startups, hard-to-enrich segments, data quality, mdm frameworks, routing and scoring tools, marketing automation platforms, startup signal detection","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":190000,"maxValue":270000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_993beba7-87d"},"title":"AI Tutor - Vietnamese","description":"<p>As an AI Tutor specializing in multilingual audio capabilities, you will contribute to xAI&#39;s mission by training and refining Grok to excel in voice interactions, speech recognition, and auditory experiences across diverse languages, accents, and cultural contexts. 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On average, most projects may require at least 10 hours per week to deliver effectively, though this is not a fixed commitment and depends on the scope of work. Contractors have full flexibility to set their own hours and determine the exact amount of time needed to complete deliverables.</li>\n<li>Tutor roles may be performed remotely from any location worldwide, subject to legal eligibility, time-zone compatibility, and role-specific needs.</li>\n<li>For US-based candidates, please note that we are unable to hire in Wyoming and Illinois at this time.</li>\n<li>We are unable to provide visa sponsorship.</li>\n<li>For those who will be working from a personal device, your computer must be a Chromebook, a Mac with macOS 11.0 or later, or Windows 10 or later.</li>\n</ul>\n<p>Compensation and Benefits: US-based candidates: $35/hour - $45/hour depending on factors including relevant experience, skills, education, geographic location, and qualifications. International candidates: Information will be provided to you during the recruitment process. Benefits vary based on employment type, location, and jurisdiction. Benefits for eligible U.S.-based positions include health insurance, 401(k) plan, and paid sick leave. Specific details and role-specific information will be provided to you during the interview process.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_993beba7-87d","directApply":true,"hiringOrganization":{"@type":"Organization","name":"xAI","sameAs":"https://www.xai.com/","logo":"https://logos.yubhub.co/xai.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/xai/jobs/5090274007","x-work-arrangement":"remote","x-experience-level":"mid","x-job-type":"full-time|part-time|contract","x-salary-range":"$35/hour - $45/hour","x-skills-required":["Multilingual audio capabilities","Proprietary software","Audio data curation","Speech recognition","Auditory experiences","Accent variation","Noise in real-world recordings","Multilingual audio processing","Annotation tools","Efficient audio workflows","Native proficiency in Vietnamese","Proficiency in English","Strong auditory perception","Multilingual audio content","Speech accuracy","Cultural vocal expressions","Contextual interpretation","Transcription","High-quality voice recordings","Feedback on audio samples","Independent judgments","Ambiguous audio scenarios","Defensible annotation decisions","Portfolio","Voice samples","Annotated transcripts","Audio-related work","Quality","Methodology","Attention to detail"],"x-skills-preferred":["Exceptional attention to linguistic nuance","Auditory detail","Data quality","Advanced transcription and annotation practices","Disfluencies","Accents","Prosodic features","Linguistics","Phonetics","Phonology","Sociolinguistics","Speech sciences","Cognitive science","Pronunciation differences","Multilingual speech patterns","Speech/audio datasets","Annotation workflows","AI training data","Training voice models","Data quality impacts model performance","Professional experience in voice work","Voice acting","Voice recording","Podcasting","Measurable audience","Similar audio production","Clarity and recording quality"],"datePosted":"2026-04-18T15:22:57.303Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Multilingual audio capabilities, Proprietary software, Audio data curation, Speech recognition, Auditory experiences, Accent variation, Noise in real-world recordings, Multilingual audio processing, Annotation tools, Efficient audio workflows, Native proficiency in Vietnamese, Proficiency in English, Strong auditory perception, Multilingual audio content, Speech accuracy, Cultural vocal expressions, Contextual interpretation, Transcription, High-quality voice recordings, Feedback on audio samples, Independent judgments, Ambiguous audio scenarios, Defensible annotation decisions, Portfolio, Voice samples, Annotated transcripts, Audio-related work, Quality, Methodology, Attention to detail, Exceptional attention to linguistic nuance, Auditory detail, Data quality, Advanced transcription and annotation practices, Disfluencies, Accents, Prosodic features, Linguistics, Phonetics, Phonology, Sociolinguistics, Speech sciences, Cognitive science, Pronunciation differences, Multilingual speech patterns, Speech/audio datasets, Annotation workflows, AI training data, Training voice models, Data quality impacts model performance, Professional experience in voice work, Voice acting, Voice recording, Podcasting, Measurable audience, Similar audio production, Clarity and recording quality"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_80234cf0-6c3"},"title":"AI Tutor - Urdu","description":"<p>As an AI Tutor specialized in multilingual audio capabilities, you will contribute to xAI&#39;s mission by training and refining Grok to excel in voice interactions, speech recognition, and auditory experiences across diverse languages, accents, and cultural contexts.</p>\n<p>Your work will focus on curating and annotating high-quality audio data to enhance Grok&#39;s global accessibility, enabling natural spoken interactions for users worldwide, bridging language barriers through accurate speech processing, and improving the AI&#39;s handling of multilingual audio nuances.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Use proprietary software to provide labels, annotations, recordings, and inputs on projects involving multilingual audio clips, voice recordings, speech samples, and auditory elements in various languages.</li>\n</ul>\n<ul>\n<li>Support the delivery of high-quality curated audio data that ensures clear, natural spoken output, accurate representation of linguistic and prosodic details (such as intonation, rhythm, and accent), and professional audio standards.</li>\n</ul>\n<ul>\n<li>Collaborate with technical staff to develop tasks that improve AI&#39;s ability to handle speech modulation, accent variation, noise in real-world recordings, and multilingual audio processing.</li>\n</ul>\n<ul>\n<li>Work with technical staff to improve annotation tools for efficient audio workflows.</li>\n</ul>\n<p>Basic Qualifications:</p>\n<ul>\n<li>Native proficiency in Urdu with exposure to diverse accents, dialects, or regional variations.</li>\n</ul>\n<ul>\n<li>Proficiency in English (minimum B2 level) with clear, natural vocal delivery and pronunciation suitable for audio recording purposes.</li>\n</ul>\n<ul>\n<li>Strong auditory perception to identify nuances in speech, accents, pronunciation, intonation, and audio quality across languages.</li>\n</ul>\n<ul>\n<li>Demonstrated ability to handle multilingual audio content, including evaluating speech accuracy, cultural vocal expressions, and contextual interpretation in spoken form.</li>\n</ul>\n<ul>\n<li>Demonstrated ability to transcribe audio with high accuracy across accents and varying audio quality.</li>\n</ul>\n<ul>\n<li>Comfort providing high-quality voice recordings and feedback on audio samples in multiple languages.</li>\n</ul>\n<ul>\n<li>Strong comprehension skills and the ability to make independent judgments on ambiguous or varied audio material, including noisy or accented speech.</li>\n</ul>\n<ul>\n<li>Strong communication, interpersonal, analytical, detail-oriented, and organizational skills, with the ability to articulate audio-related feedback effectively.</li>\n</ul>\n<ul>\n<li>Commitment to developing AI that masters sophisticated multilingual audio capabilities.</li>\n</ul>\n<p>Preferred Skills and Experience:</p>\n<ul>\n<li>Demonstration of exceptional attention to linguistic nuance, auditory detail, and data quality beyond standard transcription work.</li>\n</ul>\n<ul>\n<li>Deep understanding and taste of what good/useful Audio data is.</li>\n</ul>\n<ul>\n<li>Strong command of advanced transcription and annotation practices, including handling disfluencies, accents, and prosodic features (intonation, stress, rhythm, emotion, etc) with high consistency and accuracy.</li>\n</ul>\n<ul>\n<li>Background in linguistics (e.g., phonetics, phonology, sociolinguistics), speech sciences, cognitive science, or a related field, or equivalent practical experience, with demonstrated ability to analyze accent variation, pronunciation differences, and multilingual speech patterns.</li>\n</ul>\n<ul>\n<li>Experience working with speech/audio datasets, annotation workflows, or AI training data, including knowledge/experience with training voice models, and an understanding of how data quality impacts model performance.</li>\n</ul>\n<ul>\n<li>Professional experience in voice work, including voice acting, voice recording, podcasting with a measurable audience (e.g., X following), or similar audio production demonstrating attention to clarity and recording quality.</li>\n</ul>\n<ul>\n<li>Demonstrated ability to exercise independent judgment in ambiguous audio scenarios and make consistent, defensible annotation decisions.</li>\n</ul>\n<ul>\n<li>Portfolio (strongly preferred for advanced candidates): Voice samples, annotated transcripts, or audio-related work demonstrating quality, methodology, and attention to detail.</li>\n</ul>\n<ul>\n<li>Candidates with professional experience in voice, linguistics, speech data, or speech evaluation and research are especially encouraged to apply.</li>\n</ul>\n<p>Location and Other Expectations:</p>\n<ul>\n<li>Tutor roles may be offered as full-time, part-time, or contractor positions, depending on role needs and candidate fit.</li>\n</ul>\n<ul>\n<li>For contractor positions, hours will vary widely based on project scope and contractor availability, with no fixed commitments required. On average, most projects may require at least 10 hours per week to deliver effectively, though this is not a fixed commitment and depends on the scope of work. 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You will decide what data we need, figure out where to get it, build the processing and curation systems, and close the loop with model training to make sure it actually works.</p>\n<p><strong>Responsibilities:</strong></p>\n<ul>\n<li>Discover, evaluate, and acquire training data</li>\n<li>Build data processing and curation systems</li>\n<li>Look at the actual data constantly</li>\n<li>Close the data → model → evaluation loop</li>\n<li>Deploy ML models for data enrichment</li>\n<li>Make systematic, documented decisions</li>\n</ul>\n<p><strong>Requirements:</strong></p>\n<ul>\n<li>Strong software engineering fundamentals</li>\n<li>Deep experience with image and video data at scale</li>\n<li>Experience with distributed computing</li>\n<li>Experience using ML models as components</li>\n<li>A research-oriented approach to data decisions</li>\n<li>Familiarity with the model training lifecycle</li>\n</ul>\n<p><strong>Nice to Have:</strong></p>\n<ul>\n<li>Familiarity with columnar and large-scale data storage formats and libraries</li>\n<li>Track record of independently discovering and integrating new data sources into a training pipeline</li>\n<li>Direct experience closing the data → model quality loop</li>\n<li>Strong visual intuition for data quality and diversity</li>\n</ul>\n<p><strong>What This Isn’t:</strong></p>\n<ul>\n<li>Not infrastructure</li>\n<li>Not pure research</li>\n<li>Not a role where you wait for instructions</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_c6f5337c-c2f","directApply":true,"hiringOrganization":{"@type":"Organization","name":"World Labs","sameAs":"https://world-labs.com/","logo":"https://logos.yubhub.co/world-labs.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/worldlabs/jobs/4164503009","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["software engineering fundamentals","image and video data at scale","distributed computing","ML models as components","research-oriented approach to data decisions","model training lifecycle"],"x-skills-preferred":["columnar and large-scale data storage formats and libraries","independently discovering and integrating new data sources","closing the data → model quality loop","visual intuition for data quality and diversity"],"datePosted":"2026-04-17T13:09:48.326Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"software engineering fundamentals, image and video data at scale, distributed computing, ML models as components, research-oriented approach to data decisions, model training lifecycle, columnar and large-scale data storage formats and libraries, independently discovering and integrating new data sources, closing the data → model quality loop, visual intuition for data quality and diversity"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_ceba9e5b-250"},"title":"Senior Backend Engineer, Product and Infra","description":"<p>We&#39;re looking for a Senior Backend Engineer to build the systems and services that power our product experience. You&#39;ll own the backend infrastructure that makes our content discoverable, our features responsive, and our platform reliable at scale.</p>\n<p>Your work will directly shape what users experience: designing APIs that serve rich content, building services that handle real-time interactions, implementing content-matching systems for rights and safety, and ensuring our platform performs under load. You&#39;ll architect systems that are fast, correct, and maintainable.</p>\n<p>You&#39;ll collaborate closely with Product, ML Research, and Mobile/Web teams to ship features that matter. We use Python, Go, BigQuery, Pub/Sub, and a microservices architecture,but we care more about good judgment than specific tool experience.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Design and maintain application-level data models that organize rich content into canonical structures optimized for product features, search, and retrieval.</li>\n<li>Build high-reliability ETLs and streaming pipelines to process usage events, analytics data, behavioral signals, and application logs.</li>\n<li>Develop data services that expose unified content to the application, such as metadata access APIs, indexing workflows, and retrieval-ready representations.</li>\n<li>Implement and refine fingerprinting pipelines used for deduplication, rights attribution, safety checks, and provenance validation.</li>\n<li>Own data consistency between ingestion systems, application surfaces, metadata storage, and downstream reporting environments.</li>\n<li>Define and track key operational metrics, including latency, completeness, accuracy, and event health.</li>\n<li>Collaborate with Product teams to ensure content structures and APIs support evolving features and high-quality user experiences.</li>\n<li>Partner with Analytics and Research teams to deliver clean usage datasets for experimentation, model evaluation, reporting, and internal insights.</li>\n<li>Operate large analytical workloads in BigQuery and build reusable Dataflow/Beam components for structured processing.</li>\n<li>Improve reliability and scale by designing robust schema evolution strategies, idempotent pipelines, and well-instrumented operational flows.</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>Experience building production backend services and APIs at scale</li>\n<li>Experience building ETL/ELT pipelines, event processing systems, and structured data models for applications or analytics</li>\n<li>Strong background in data modeling, metadata systems, indexing, or building canonical representations for heterogeneous content</li>\n<li>Proficiency in Python, Go, SQL, and scalable data-processing frameworks (Dataflow/Beam, Spark, or similar)</li>\n<li>Familiarity with BigQuery or other analytical data warehouses and strong comfort optimizing large queries and schemas</li>\n<li>Experience with event-driven architectures, Pub/Sub, or Kafka-like systems</li>\n<li>Strong understanding of data quality, schema evolution, lineage, and operational reliability</li>\n<li>Ability to design pipelines that balance cost, latency, correctness, and scale</li>\n<li>Clear communication skills and an ability to collaborate closely with Product, Research, and Analytics stakeholders</li>\n</ul>\n<p><strong>Nice to Have</strong></p>\n<ul>\n<li>Experience building application-facing APIs or microservices that expose structured content</li>\n<li>Background in information retrieval, indexing systems, or search infrastructure</li>\n<li>Experience with fingerprinting, perceptual hashing, audio similarity metrics, or content-matching algorithms</li>\n<li>Familiarity with ML workflows and how downstream analytics and usage data feed back into research pipelines</li>\n<li>Understanding of batch + streaming architectures and how to blend them effectively</li>\n<li>Experience with Go, Next.js, or React Native for occasional full-stack contributions</li>\n</ul>\n<p><strong>Why Join Us</strong></p>\n<p>You will design the core data services and pipelines that power our product experience, analytics, and business operations. You’ll work on high-impact data challenges involving real-time signals, large-scale metadata systems, and cross-platform consistency. You’ll join a small, fast-moving team where you’ll shape the structure, reliability, and intelligence of our downstream data ecosystem.</p>\n<p><strong>Benefits</strong></p>\n<ul>\n<li>Highly competitive salary and equity</li>\n<li>Quarterly productivity budget</li>\n<li>Flexible time off</li>\n<li>Fantastic office location in Manhattan</li>\n<li>Productivity package, including ChatGPT Plus, Claude Code, and Copilot</li>\n<li>Top-notch private health, dental, and vision insurance for you and your dependents</li>\n<li>401(k) plan options with employer matching</li>\n<li>Concierge medical/primary care through One Medical and Rightway</li>\n<li>Mental health support from Spring Health</li>\n<li>Personalized life insurance, travel assistance, and many other perks</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_ceba9e5b-250","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Udio","sameAs":"https://www.udio.com/","logo":"https://logos.yubhub.co/udio.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/udio/jobs/4987729008","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$180,000 - $220,000","x-skills-required":["Python","Go","BigQuery","Pub/Sub","Data modeling","Metadata systems","Indexing","Canonical representations","ETL/ELT pipelines","Event processing systems","Structured data models","Scalable data-processing frameworks","Analytical data warehouses","Event-driven architectures","Kafka-like systems","Data quality","Schema evolution","Lineage","Operational reliability"],"x-skills-preferred":["Application-facing APIs","Microservices","Information retrieval","Indexing systems","Search infrastructure","Fingerprinting","Perceptual hashing","Audio similarity metrics","Content-matching algorithms","ML workflows","Batch + streaming architectures"],"datePosted":"2026-04-17T13:05:20.076Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"New York"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, Go, BigQuery, Pub/Sub, Data modeling, Metadata systems, Indexing, Canonical representations, ETL/ELT pipelines, Event processing systems, Structured data models, Scalable data-processing frameworks, Analytical data warehouses, Event-driven architectures, Kafka-like systems, Data quality, Schema evolution, Lineage, Operational reliability, Application-facing APIs, Microservices, Information retrieval, Indexing systems, Search infrastructure, Fingerprinting, Perceptual hashing, Audio similarity metrics, Content-matching algorithms, ML workflows, Batch + streaming architectures","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":180000,"maxValue":220000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_4d67ce9b-156"},"title":"Senior Product Manager, Data Enablement","description":"<p>Omada Health is on a mission to inspire and engage people in lifelong health, one step at a time.\\n\\nAs the Senior Product Manager for Data Enablement, you will be the enterprise-level owner of analytics capabilities, shared definitions, and enablement tooling that ensures Omada can answer critical business questions faster and more efficiently. This role will work across Product, Clinical, Commercial, Operations, and Finance to create the structures for how analytics are governed, accessed, and used.\\n\\nThe primary mandate of this role is to own the product strategy and roadmap for Omada’s enterprise analytics including governance, shared definitions, and enablement tooling. You are accountable for ensuring that teams across Product, Clinical, Commercial, Operations, and Finance can ask and answer critical business questions quickly, consistently, and with high trust in the underlying data. This means defining how key concepts are governed, how analytics tools are shaped and prioritized, and how cross-functional stakeholders engage with the data platform.\\n\\nYou will act as the central product owner for Omada’s analytics ecosystem, setting clear standards and driving adoption across the company. In practice, this includes:\\n\\n* Owning the roadmap for core data products and analytics tooling that power dashboards, reporting, and self-service analysis.\\n* Driving the culture of data across our engineering, product and other business teams at Omada\\n* Partnering with data, engineering, analytics, and business leaders to ensure analytics investments are aligned with company strategy and deliver measurable impact.\\n* Collaborating with other product managers to incorporate data science concepts into their features &amp; experiences\\n\\nAbout you:\\n\\n* 10+ years of relevant product management or data product experience (8+ years with Master&#39;s degree, 5+ years with PhD)\\n* 7+ years of experience with data technology and data management, including familiarity with:\\n  * Modern data warehousing technologies (Redshift, Snowflake, BigQuery or similar)\\n  * Cloud technologies, preferably AWS\\n  * Business intelligence and analytics tools (Tableau, Amplitude, Looker, or similar)\\n  * Data governance frameworks and data quality management\\n  * SQL and ability to write queries and QA datasets\\n* Subject matter expertise in enterprise analytics governance, data product management, or analytics enablement\\n* Experience establishing governance processes &amp; associated tool implementation for data definitions, metrics, or analytics across multiple business functions\\n* Proven ability to partner with Data Teams for technical evaluation of self service tools and/or statistical model training lifecycle\\n* Proven ability to influence senior stakeholders and reconcile opposing viewpoints to drive consensus\\n* Track record of working on problems that are not clearly defined, using advanced knowledge and conceptual thinking to develop solutions\\n* Experience with healthcare data standards and regulatory requirements is strongly preferred\\n* Bachelor&#39;s degree or equivalent relevant experience (advanced degree preferred)\\n\\nEssential Competencies:\\n\\n* Strategic &amp; Analytical:\\n  * Able to think beyond constraints to imagine new ways to use data to impact members and customers\\n  * Excellent organizational and analytical skills with strong technical understanding\\n  * Comfortable analyzing data and leading research/discovery efforts to understand problem spaces, identify opportunities, and propose solutions\\n  * Proven ability to set clear, achievable objectives and work plans for complex, cross-functional initiatives\\n* Communication &amp; Influence:\\n  * Exceptional written and verbal communication skills\\n  * Ability to create formal networks with key decision makers and influence stakeholders across multiple functions\\n  * Skilled at adapting communication style for different audiences, from technical teams to senior executives\\n  * Experience negotiating matters of significance with senior management and/or major customers\\n* Collaboration &amp; Problem Solving:\\n  * Comfortable with ambiguity and adept at solving problems with limited resources and information\\n  * Able to drive alignment among diverse stakeholders with competing priorities\\n  * Great listener who asks insightful questions and doesn&#39;t accept &quot;It&#39;s how we&#39;ve always done it&quot; as an answer\\n  * Proven ability to reconcile various and opposing stakeholder views to drive results\\n* Execution &amp; Delivery:\\n  * History of consistently delivering results against target metrics and commitments\\n  * Experience managing product backlogs, writing clear product specifications, and driving execution\\n  * Ability to exercise autonomous decision making with limited input on methods and techniques to obtain results\\n\\nYour impact:\\n\\nIn this role, you will directly contribute to transforming how Omada uses data to serve members, customers, and internal stakeholders. Your work will:\\n\\n* Eliminate fragmentation: Establish single sources of truth for critical business and clinical metrics, reducing confusion and accelerating decision-making\\n* Increase trust: Build confidence in analytics across the organization through governed definitions and transparent processes\\n* Accelerate insights: Enable analysts and business users to answer questions faster through improved tooling, AI-assisted analytics, and reusable data products\\n* Scale effectively: Create governance frameworks and enablement systems that scale as Omada&#39;s product portfolio and customer base expand\\n* Drive outcomes: Ensure that data and analytics capabilities directly support better health outcomes for members and business results for customers\\n\\nBenefits:\\n\\n* Competitive salary with generous annual cash bonus\\n* Equity grants\\n* Remote first work from home culture\\n* Flexible Time Off to help you rest, recharge, and connect with loved ones\\n* Generous parental leave\\n* Health, dental, and vision insurance (and above market employer contributions)\\n* 401k retirement savings plan\\n* Lifestyle Spending Account (LSA)\\n* Mental Health Support Solutions\\n* ...and more!\\n\\nWe take a village to change healthcare. As we build together toward our mission, we strive to embody the following values in our day-to-day work. We hope these hold meaning for you as well as you consider Omada!\\n\\n* Cultivate Trust. We listen closely and we operate with kindness. We provide respectful and candid feedback to each other.\\n* Seek Context. We ask to understand and we build connections. We do our research up front to move faster down the road.\\n* Act Boldly. We innovate daily to solve problems, improve processes, and find new opportunities for our members and customers.\\n* Deliver Results. We reward impact above output.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_4d67ce9b-156","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Omada Health","sameAs":"https://www.omadahealth.com/","logo":"https://logos.yubhub.co/omadahealth.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/omadahealth/jobs/7759052","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["data technology","data management","modern data warehousing technologies","cloud technologies","business intelligence and analytics tools","data governance frameworks","data quality management","SQL","subject matter expertise in enterprise analytics governance","data product management","analytics enablement"],"x-skills-preferred":[],"datePosted":"2026-04-17T12:51:36.106Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote, USA"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Healthcare","skills":"data technology, data management, modern data warehousing technologies, cloud technologies, business intelligence and analytics tools, data governance frameworks, data quality management, SQL, subject matter expertise in enterprise analytics governance, data product management, analytics enablement"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_7b750523-8ff"},"title":"Staff Software Engineer, Data Engineering","description":"<p>We are seeking a Staff Software Engineer to lead the technical strategy and implementation of our enterprise data architecture, governance foundations, and analytics enablement tooling.</p>\n<p>In this role, you will be the primary engineering counterpart to the Senior Product Manager for Data Enablement &amp; Governance, jointly shaping the roadmap for enterprise analytics, shared definitions, and the tools that help Omada answer questions faster and more reliably.</p>\n<p>You will design and evolve core data products, define patterns and standards used across the company, and drive the technical execution of initiatives that ensure our metrics, reports, and data products are scalable, governed, and trustworthy.</p>\n<p>This is a high-impact, cross-functional Staff role working across Data Engineering, Data Science, Analytics, Product, IT, and business leaders.</p>\n<p><strong>Key Responsibilities:</strong></p>\n<p><strong>Enterprise Data Architecture</strong></p>\n<ul>\n<li>Own the vision and technical roadmap for Omada&#39;s enterprise data architecture, spanning ingestion, storage, modeling, and serving layers for analytics and applied statistics use cases.</li>\n<li>Design, implement, and evolve scalable, secure, and cost-efficient data solutions (datalakes, warehouses, marts, semantic layers) that support governed, cross-functional analytics and self-service.</li>\n<li>Define and socialize architectural patterns, data contracts, and integration standards used by data and product teams across the organization.</li>\n<li>Anticipate future needs (e.g., new product lines, new modalities, AI/ML workloads) and drive proactive architectural changes rather than reacting to incidents or point-in-time requests.</li>\n</ul>\n<p><strong>Data Modeling, Quality, and Governance Foundations</strong></p>\n<ul>\n<li>Lead the design of logical and physical data models to support enterprise metrics, dashboards, and ad hoc analytics, with a focus on reusability and clear ownership.</li>\n<li>Implement robust data quality, validation, and monitoring frameworks that underpin trusted “single source of truth” definitions for core concepts (e.g., active member, MAU, GLP-1 member).</li>\n<li>Partner with the Senior Product Manager, Data Enablement &amp; Governance to translate governance decisions (definitions, ownership, change-management processes) into concrete technical implementations in the data platform.</li>\n<li>Set standards and review mechanisms to ensure new pipelines, marts, and reports align with enterprise definitions and governance policies.</li>\n<li>Continuously improve performance, scalability, and cost-efficiency of data workflows and storage; lead deep dives and remediation for complex production issues.</li>\n</ul>\n<p><strong>Enterprise Data Products Lifecycle</strong></p>\n<ul>\n<li>In close partnership with the Senior PM, define and deliver core, reusable data products (e.g., engagement, clinical, financial, client, care delivery datasets) that power dashboards, reporting, and self-service analytics.</li>\n<li>Co-Architect and implement technical foundations for AI-assisted analytics tools, governed semantic 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design docs, reviews, and execution quality.</li>\n<li>Mentor senior and mid-level engineers, elevating the team’s skills in data modeling, pipeline design, governance, and platform thinking.</li>\n<li>Help shape playbooks for how product squads and spokes engage with central data teams on new metrics, data products, and applied stats projects.</li>\n<li>Partner closely with Analytics, Data Science, Product, and business leaders to ensure data architecture and governance decisions are aligned with company OKRs and measurable business value.</li>\n<li>Proactively identify complexity, duplication, and fragility in existing systems; drive simplification and standardization with sustainable solutions.</li>\n<li>Model Omada’s values in day-to-day work, fostering a culture of trust, context-seeking, bold thinking, and high-impact delivery.</li>\n</ul>\n<p><strong>About You:</strong></p>\n<ul>\n<li>8+ years of experience building, maintaining, and orchestrating scalable data platforms and high-quality production pipelines, including significant experience in analytics or warehousing environments.</li>\n<li>Demonstrated Staff-level impact: leading cross-team technical initiatives, making architectural decisions that shaped a multi-year roadmap, and influencing stakeholders beyond your immediate team.</li>\n<li>Deep experience with cloud data ecosystems (e.g., AWS) and modern data warehouses (e.g., Redshift, Snowflake, BigQuery), including MPP query optimization.</li>\n<li>Strong background in data modeling for OLTP and OLAP, and designing reusable data products for BI, reporting, and advanced analytics.</li>\n<li>Hands-on experience implementing data quality, observability, and governance frameworks, ideally in a regulated or PHI/PII-sensitive environment.</li>\n<li>Experience partnering with Product Management and Analytics to define and deliver platform capabilities, not just point solutions.</li>\n</ul>\n<p><strong>Technical Skills:</strong></p>\n<ul>\n<li>Strong proficiency in SQL (analytical and performance-tuned) and experience with relational and MPP databases.</li>\n<li>Proficiency in at least one modern programming language used in data engineering (e.g., Python, Java, Scala) and comfort applying software engineering best practices (testing, CI/CD, code review).</li>\n<li>Experience with workflow orchestration and data integration tools (e.g., Airflow) and event-driven or streaming patterns where appropriate.</li>\n<li>Familiarity with BI and analytics tools (e.g., Tableau, Amplitude, or similar) and how they integrate with governed data layers.</li>\n<li>Experience with data governance concepts (ownership, lineage, definitions, access controls) and their technical implementation in a modern data stack.</li>\n<li>Familiarity with AI tools for development.</li>\n</ul>\n<p><strong>Communication &amp; Working Style:</strong></p>\n<ul>\n<li>Excellent communication and collaboration skills, with the ability to convey complex technical concepts to non-technical stakeholders.</li>\n<li>Highly self-directed and comfortable operating in ambiguous, cross-functional problem spaces, creating clarity and direction where none exists.</li>\n<li>Strong sense of ownership and bias for impact; you care about outcomes for members, customers, and internal users, not just elegant systems.</li>\n</ul>\n<p><strong>Benefits:</strong></p>\n<ul>\n<li>Competitive salary with generous annual cash bonus</li>\n<li>Equity grants</li>\n<li>Remote first work from home culture</li>\n<li>Flexible Time Off to help you recharge</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_7b750523-8ff","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Omada Health","sameAs":"https://www.omadahealth.com/","logo":"https://logos.yubhub.co/omadahealth.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/omadahealth/jobs/7753330","x-work-arrangement":"remote","x-experience-level":"staff","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["SQL","Cloud data ecosystems","Modern data warehouses","MPP query optimization","Data modeling","Data quality","Data governance","Workflow orchestration","Data integration","Event-driven or streaming patterns","BI and analytics tools","AI tools for development"],"x-skills-preferred":[],"datePosted":"2026-04-17T12:50:06.765Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote, USA"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Healthcare","skills":"SQL, Cloud data ecosystems, Modern data warehouses, MPP query optimization, Data modeling, Data quality, Data governance, Workflow orchestration, Data integration, Event-driven or streaming patterns, BI and analytics tools, AI tools for development"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_7cd87dca-406"},"title":"Data Quality Specialist","description":"<p>We&#39;re seeking highly motivated Data Quality Specialists with strong analytical skills and a keen eye for detail to join our Human Data Annotation team within the Science organisation.</p>\n<p>In this role, you will contribute to and audit human data annotations, upholding the highest standards of quality and efficiency.</p>\n<p>Key Responsibilities:\nCreate high-quality data annotations, based on guidelines and continuous feedback, for the development and evaluation of AI models\nIn collaboration with the technical team, review/audit annotations in order to clarify requirements and share insights that improve annotation processes, tools, and guidelines</p>\n<p>About you:\nRelevant academic background (science, technology, engineering, mathematics)\nProfessional proficiency in English, with strong writing and comprehension skills\nOutstanding research and analytical skills\nExercises great judgement with complex instructions, limited data, and/or multiple information sources\nExcellent communication, interpersonal, and organisational abilities\nAdapts easily to dynamic environments and changing requirements\nAppetite for operational work and high tolerance for repetitive tasks\nPassionate about and committed to learning new tools and technologies</p>\n<p>Nice to have:\nProven track record working with data\nFluency in multiple languages\nExperience with code</p>\n<p>Additional Information:\nMistral offers a competitive cash salary and equity, daily lunch vouchers, monthly contribution to a Gympass subscription, monthly contribution to a mobility pass, full health insurance for you and your family, and a generous parental leave policy.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_7cd87dca-406","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Mistral","sameAs":"https://www.mistral.ai/","logo":"https://logos.yubhub.co/mistral.ai.png"},"x-apply-url":"https://jobs.lever.co/mistral/1cb8bbe9-012f-46a6-83d0-1200be477793","x-work-arrangement":"onsite","x-experience-level":"entry","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["data quality","analytical skills","human data annotation","AI models","technical team collaboration"],"x-skills-preferred":["proven track record working with data","fluency in multiple languages","experience with code"],"datePosted":"2026-04-17T12:47:11.569Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"France"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"data quality, analytical skills, human data annotation, AI models, technical team collaboration, proven track record working with data, fluency in multiple languages, experience with code"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_eb26af8f-c1a"},"title":"Data Scientist","description":"<p>We are seeking a pragmatic, end-to-end Data Scientist who can operate across the full data lifecycle, from ingestion and modeling to productionizing key data systems. This is a high-impact, high-agency role which reports directly to the CTO. Modern AI-assisted development tools make this role possible, where the data scientist can now do real engineering, too.</p>\n<p><strong>Responsibilities:</strong></p>\n<ul>\n<li>Collaborate closely with other teams (Sales, Finance, Product, Marketing, and more) to translate problems and needs into action-oriented data solutions</li>\n<li>Design, build, and maintain data pipelines for reliable ingestion and transformation</li>\n<li>Rapidly prototype and iterate using AI coding tools to accelerate development and reduce toil</li>\n<li>Drive rigor and best practices, with a focus on data quality, consistency, and transparency</li>\n<li>Develop and deploy statistical models and machine learning, where appropriate</li>\n<li>Build clear, decision-oriented visualizations and dashboards for stakeholders across multiple departments</li>\n<li>Own selected production data systems: selection, orchestration, monitoring, and tuning</li>\n<li>Communicate and shepherd key data results and analysis to executives</li>\n</ul>\n<p><strong>Requirements:</strong></p>\n<ul>\n<li>Experience with B2B SaaS-relevant data, including Salesforce and financial metrics</li>\n<li>Strong communication skills and ability to work effectively across multiple departments and stakeholder groups</li>\n<li>Ownership mindset and ability to deliver end-to-end outcomes independently; must be a &quot;startup type&quot;</li>\n<li>Demonstrated ability to design data pipelines and work with imperfect, evolving data sources</li>\n<li>Sharp attention to data quality, including validation, anomaly detection, and root-cause analysis of inconsistencies</li>\n<li>Strong proficiency in Python and SQL; experience with modern data stack tools (e.g., dbt, Airflow, Spark, or equivalents, a plus)</li>\n<li>Experience with data visualization tools (e.g., Tableau, Looker, or similar)</li>\n<li>Some familiarity with infrastructure and related setup (databases, data warehouses, VMs)</li>\n<li>Knowledge of core machine learning concepts and when to apply them pragmatically</li>\n</ul>\n<p><strong>Initial Projects:</strong></p>\n<ul>\n<li>Build a likelihood-of-close model for Salesforce opportunities, which factors in relevant metadata and history</li>\n<li>Create a framework and initial implementation for an executive operational dashboard, working with a broad set of teams</li>\n<li>Define, validate, and implement key SaaS product-usage metrics</li>\n</ul>\n<p>As we grow, you will, too, with the broad scope of a software startup.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_eb26af8f-c1a","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Forward Networks","sameAs":"https://www.forward.net/","logo":"https://logos.yubhub.co/forward.net.png"},"x-apply-url":"https://job-boards.greenhouse.io/forwardnetworks/jobs/7695301003","x-work-arrangement":"onsite","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":"$170,000 - $190,000","x-skills-required":["Python","SQL","data visualization","machine learning","data pipelines","data quality"],"x-skills-preferred":["dbt","Airflow","Spark","Tableau","Looker"],"datePosted":"2026-04-17T12:34:58.040Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Santa Clara, CA"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, SQL, data visualization, machine learning, data pipelines, data quality, dbt, Airflow, Spark, Tableau, Looker","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":170000,"maxValue":190000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_1c431665-20b"},"title":"Data Governance and Management Lead","description":"<p>At Anchorage Digital, we are building the world’s most advanced digital asset platform for institutions to participate in crypto. We are seeking a Data Governance &amp; Management Lead within the Global Analytics team to help develop and implement data controls, data quality standards, and governance practices across the platform.</p>\n<p>This role supports data integrity, metadata, and access controls to help ensure data is accurate, consistent, and fit for purpose. This is a hands-on role that requires strong technical fluency, structured problem-solving, and the ability to translate governance requirements into practical implementations within data systems.</p>\n<p><strong>Technical Skills:</strong></p>\n<ul>\n<li>Working knowledge of data governance, data management, and data quality frameworks</li>\n<li>Experience supporting the implementation of data controls within data pipelines and reporting systems</li>\n<li>Advanced proficiency in SQL, Python, or other data query and analysis tools</li>\n<li>Proficiency with business intelligence and data visualization tools such as Looker, Power BI, or Tableau</li>\n<li>Experience with database design, including understanding complex data schemas and data extraction</li>\n<li>Familiarity with data lineage, metadata management, and data modeling concepts</li>\n<li>Ability to define and implement data quality rules and validation checks</li>\n<li>Understanding of data access principles, including role-based access and data classification</li>\n<li>Ability to document data processes and controls clearly and in a structured way</li>\n</ul>\n<p><strong>Complexity and Impact of Work:</strong></p>\n<ul>\n<li>Oversee the data governance program, identify improvement areas, and implement best practices to enhance data quality, integrity, and security</li>\n<li>Develop and implement data quality standards and monitoring processes, including establishing data quality metrics and thresholds</li>\n<li>Assist in managing the data issue lifecycle, including tracking and supporting remediation efforts</li>\n<li>Manage the data governance platform (Atlan) and serve as the primary subject matter expert</li>\n<li>Assist in data classification efforts, including identifying and categorizing sensitive data and critical data elements</li>\n<li>Manage external data requests, including regulatory inquiries, ensuring compliance with banking regulations</li>\n<li>Monitor and report on key data governance metrics and KPIs, providing insights and recommendations to senior management</li>\n<li>Lead data governance meetings and workshops, facilitating discussions and decision-making to drive the data governance program forward</li>\n</ul>\n<p><strong>Organizational Knowledge:</strong></p>\n<ul>\n<li>Have a deep understanding of Anchorage Digital’s strategy and business lines.</li>\n<li>Understand how data supports decision-making and operational processes across the organization</li>\n<li>Possess strategic thinking and vision, with the ability to develop and implement a comprehensive data governance strategy aligned with organizational goals and objectives</li>\n</ul>\n<p><strong>Communication and Influence:</strong></p>\n<ul>\n<li>Able to communicate complex issues clearly and credibly to a wide range of audiences.</li>\n<li>Document data processes, controls, and findings clearly for internal stakeholders</li>\n<li>Build effective relationships and rapport with stakeholders, including cross-functional and external partners</li>\n<li>Communicate, organize, and execute cross-team goals and projects, leveraging relationships and resources to solve problems</li>\n<li>Collaborate with Data Platform, InfoSec, Product, and Engineering partners</li>\n</ul>\n<p><strong>You may be a fit for this role if you have:</strong></p>\n<ul>\n<li>Bachelor’s degree required. Advanced degrees or certifications in data analytics or governance preferred</li>\n<li>4–7 years of experience in data governance, data management, data quality, or data analytics</li>\n<li>Hands-on experience implementing or supporting data quality and governance practices</li>\n<li>Experience managing data classification, access controls, and external data requests</li>\n<li>Experience working with data pipelines, reporting systems, or analytical datasets</li>\n<li>Experience writing, editing, or reviewing technical documentation for regulatory or banking contexts</li>\n<li>Strong attention to detail, with a focus on accuracy, completeness, and consistency in data governance processes and controls</li>\n<li>Ability to work independently on defined tasks and contribute to team objectives</li>\n<li>Strong problem-solving skills and comfort working in structured, detail-oriented environments</li>\n</ul>\n<p><strong>Although not a requirement, bonus points if:</strong></p>\n<ul>\n<li>You&#39;ve kept up to date with the proliferation of blockchain and crypto innovations.</li>\n<li>You were emotionally moved by the soundtrack to Hamilton, which chronicles the founding of a new financial system. :)</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_1c431665-20b","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anchorage Digital","sameAs":"https://anchorage.com","logo":"https://logos.yubhub.co/anchorage.com.png"},"x-apply-url":"https://jobs.lever.co/anchorage/5bfbd64c-933e-418c-9c07-5aea50212c0d","x-work-arrangement":"remote","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["data governance","data management","data quality frameworks","SQL","Python","Looker","Power BI","Tableau","database design","data lineage","metadata management","data modeling","data access principles","role-based access","data classification"],"x-skills-preferred":[],"datePosted":"2026-04-17T12:22:29.501Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"United States"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Finance","skills":"data governance, data management, data quality frameworks, SQL, Python, Looker, Power BI, Tableau, database design, data lineage, metadata management, data modeling, data access principles, role-based access, data classification"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_3d849fbc-058"},"title":"Member of Product, Data Platform","description":"<p>At Anchorage Digital, we are building the world’s most advanced digital asset platform for institutions to participate in crypto.</p>\n<p>The Data Platform team is the backbone of Anchorage Digital&#39;s information infrastructure. As data becomes the lifeblood of every product, compliance workflow, and client-facing report we produce, this team is responsible for building and operating a unified, scalable, and reliable data platform that serves the entire organization.</p>\n<p>As a Data Platform Product Manager, you will own the strategy and execution for centralizing and formalizing the company&#39;s data infrastructure , spanning internal operational data, transaction and blockchain data, customer data, and external data sources.</p>\n<p>Your mission is to transform a fragmented data landscape into a single source of truth that powers mission-critical reporting, business insights, and downstream product experiences across every team at Anchorage.</p>\n<p>This is a force-multiplier role. Your work will elevate the quality, speed, and reliability of every product and team at the company.</p>\n<p>You will define the standards, build the platform, and create the foundation that enables Anchorage to scale with confidence.</p>\n<p>If you thrive at the intersection of complex data systems, cross-functional influence, and platform thinking, this is your opportunity to have outsized impact at a category-defining company in digital assets.</p>\n<p>Below, we define our Factors of Growth &amp; Impact to help Anchorage Villagers measure their impact and articulate feedback, coaching, and the rich learning that happens while exploring, developing, and mastering capabilities within and beyond the Member of Product, Data Platform role:</p>\n<p><strong>Technical Skills:</strong></p>\n<ul>\n<li>Own the detailed prioritization of the data platform roadmap, balancing foundational infrastructure work, new capabilities, and technical debt.</li>\n<li>Demonstrate deep strategic thinking in shaping the platform roadmap, considering the unique data challenges of digital assets, blockchain protocols, and regulated financial services.</li>\n<li>Deliver complex, cross-functional projects with multiple dependencies across engineering, analytics, compliance, and operations teams.</li>\n<li>Work closely with engineering and data science counterparts to drive product development processes, sprint planning, and architectural decisions.</li>\n<li>Ability to understand and reason about system architecture , including data warehousing, ETL/ELT pipelines, streaming vs. batch processing, and modern data stack components , and communicate clear requirements to engineering.</li>\n<li>Drive comprehensive go-to-market strategy for internal platform adoption, including defining success metrics, tracking KPIs around data quality and platform usage, and iterating based on data-driven insights.</li>\n</ul>\n<p><strong>Complexity and Impact of Work:</strong></p>\n<ul>\n<li>Lead and influence cross-functional teams while maintaining strong stakeholder relationships across the entire organization , from engineering to finance to compliance.</li>\n<li>Exercise independent decision-making and take full ownership of data platform strategy and execution.</li>\n<li>Contribute strategic insights that significantly impact company direction, operational efficiency, and product quality.</li>\n<li>Demonstrate platform leadership that elevates the performance and effectiveness of every team that depends on data.</li>\n</ul>\n<p><strong>Organizational Knowledge:</strong></p>\n<ul>\n<li>Develop deep understanding of Anchorage&#39;s business model, product suite, regulatory environment, and organizational structure.</li>\n<li>Build and maintain strong relationships with stakeholders across all departments to ensure the data platform serves the company&#39;s most critical needs.</li>\n<li>Navigate and improve organizational data practices to enhance efficiency, compliance, and decision-making.</li>\n<li>Drive company objectives through strategic data platform decisions and initiatives.</li>\n</ul>\n<p><strong>Communication and Influence:</strong></p>\n<ul>\n<li>Effectively influence and motivate teams across the organization to adopt platform standards and invest in data quality, even when those teams do not report to you.</li>\n<li>Enable cross-functional collaboration through clear, consistent communication about platform capabilities, timelines, and data governance expectations.</li>\n<li>Act as a thoughtful knowledge partner to senior leadership, translating complex data infrastructure topics into clear business impact.</li>\n<li>Proactively communicate platform goals, status updates, and data health metrics throughout the organization.</li>\n</ul>\n<p><strong>You may be a fit for this role if you:</strong></p>\n<ul>\n<li>5+ years of product management experience, with significant time spent on data platforms, data infrastructure, or data-intensive enterprise products.</li>\n<li>Proven experience building or scaling enterprise data platforms , including data warehousing, data lakes, ETL/ELT pipelines, or modern data stack tooling (e.g., Snowflake, Databricks, dbt, Airflow, Spark).</li>\n<li>Strong understanding of data modeling, data governance, and data quality frameworks.</li>\n<li>Experience working with diverse data types , including transactional data, customer data, financial data, and ideally blockchain or on-chain data.</li>\n<li>Track record of driving cross-functional alignment and adoption for internal platform products where you must influence without direct authority.</li>\n<li>Exceptional written and verbal communication skills, with the ability to convey complex data architecture concepts to both technical and non-technical audiences.</li>\n<li>Your empathy and adaptability not only complement others&#39; working styles but also embody our culture of curiosity, creativity, and shared understanding.</li>\n<li>You self describe as some combination of the following: creative, humble, ambitious, detail oriented, hard working, trustworthy, eager to learn, methodical, action oriented, and tenacious.</li>\n</ul>\n<p><strong>Although not a requirement, bonus points if you have:</strong></p>\n<ul>\n<li>You have hands-on experience with blockchain data indexing, onchain analytics, or crypto-native data infrastructure.</li>\n<li>You have built data platforms that serve both internal analytics consumers and external client-facing products (reports, statements, dashboards).</li>\n<li>You have experience supporting clients with data-related issues or concerns.</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_3d849fbc-058","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anchorage Digital","sameAs":"https://anchorage.com","logo":"https://logos.yubhub.co/anchorage.com.png"},"x-apply-url":"https://jobs.lever.co/anchorage/0e730f61-a2e4-4152-8277-3f6383cc69a6","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["data platforms","data infrastructure","data-intensive enterprise products","data warehousing","data lakes","ETL/ELT pipelines","modern data stack tooling","Snowflake","Databricks","dbt","Airflow","Spark","data modeling","data governance","data quality frameworks","blockchain or on-chain data"],"x-skills-preferred":[],"datePosted":"2026-04-17T12:18:21.529Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"United States"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"data platforms, data infrastructure, data-intensive enterprise products, data warehousing, data lakes, ETL/ELT pipelines, modern data stack tooling, Snowflake, Databricks, dbt, Airflow, Spark, data modeling, data governance, data quality frameworks, blockchain or on-chain data"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_a1fbe166-d22"},"title":"Project Engineering Management, Staff Engineer","description":"<p>We are seeking an experienced Product Engineering Manager to support and drive product success in the VLSI domain. This is a visible, cross-functional role that requires strong technical depth, execution excellence, and stakeholder management skills.</p>\n<p>Key Responsibilities:</p>\n<ul>\n<li>Collaborate closely with cross-functional teams (R&amp;D, Product Management, Sales, and Pre-Sales) to ensure end-to-end product success</li>\n<li>Define, develop, and execute product engineering strategies aligned with business and customer objectives</li>\n<li>Act as the primary technical interface between internal engineering teams and external stakeholders</li>\n<li>Partner with Sales and Pre-Sales teams to provide technical inputs, customer insights, and execution support</li>\n<li>Build, manage, and track detailed project time plans and schedules across multiple initiatives</li>\n<li>Drive execution rigor, issue prioritization, and risk mitigation across concurrent projects</li>\n</ul>\n<p>Requirements:</p>\n<ul>\n<li>Minimum 8 years of experience in VLSI product engineering</li>\n<li>Strong exposure to analog and digital SoC design flows and methodologies</li>\n<li>Prior hands-on experience in one or more of the following is preferred:<ul>\n<li>RTL Development</li>\n<li>RTL Verification</li>\n<li>RTL-to-GDS flow</li>\n</ul>\n</li>\n<li>Proven track record of working across multiple technology nodes and driving product innovation</li>\n<li>Strong customer-centric mindset with the ability to multitask, prioritize effectively, and manage multiple complex projects</li>\n<li>Demonstrated experience communicating and influencing across multiple levels of the organization, including senior leadership</li>\n<li>Good understanding of database management, data quality, and data cleanliness across the product portfolio</li>\n<li>Excellent written and verbal communication skills</li>\n</ul>\n<p>Nice to Have:</p>\n<ul>\n<li>Experience with VLSI design automation tools and methodologies</li>\n<li>Awareness of industry trends and emerging technologies in VLSI</li>\n<li>Certification in Product Management, Project Management, or a related discipline</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_a1fbe166-d22","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Synopsys","sameAs":"https://careers.synopsys.com","logo":"https://logos.yubhub.co/careers.synopsys.com.png"},"x-apply-url":"https://careers.synopsys.com/job/bengaluru/project-engineering-management-staff-engineer/44408/93189758032","x-work-arrangement":null,"x-experience-level":"senior","x-job-type":"employee","x-salary-range":null,"x-skills-required":["RTL Development","RTL Verification","RTL-to-GDS flow","analog and digital SoC design flows and methodologies","database management","data quality","data cleanliness"],"x-skills-preferred":["VLSI design automation tools and methodologies","industry trends and emerging technologies in VLSI","Product Management","Project Management"],"datePosted":"2026-04-05T13:20:28.647Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Bengaluru"}},"occupationalCategory":"Engineering","industry":"Technology","skills":"RTL Development, RTL Verification, RTL-to-GDS flow, analog and digital SoC design flows and methodologies, database management, data quality, data cleanliness, VLSI design automation tools and methodologies, industry trends and emerging technologies in VLSI, Product Management, Project Management"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_d9dee25d-ca8"},"title":"Regulatory Reporting Program Manager, Stablecoin","description":"<p>As a Regulatory Reporting Program Manager, you will support the Global Regulatory Reporting team by partnering with Legal, Compliance, Accounting, Business/Product, and Data Analytics teams across Stripe to maintain Stripe&#39;s NORAM regulatory reporting program.</p>\n<p>This may include understanding and documenting the applicable regulatory reporting requirements in the region, implementing systems and processes for comprehensively tracking those requirements for each of Stripe&#39;s North American entities, maintaining the end-to-end processes for the collation of data, production of reports, and continuously monitoring compliance to meet the expectations of Stripe&#39;s regulators.</p>\n<p>You will need to be comfortable straddling both the technology and financial services worlds every day, enjoying the puzzle of dealing with that and seeking creative solutions and moving quickly, often in the face of ambiguity.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Own end-to-end U.S. regulatory reporting program for digital assets including stablecoin related financial activities, including defining reporting scope, governance, timelines, and accountability across required regulatory filings.</li>\n<li>Interpret U.S. regulatory reporting requirements applicable to stablecoins, digital assets, payments, and custody, and translate them into clear reporting specifications, data definitions, and execution plans in partnership with Legal and Compliance.</li>\n<li>Manage the full regulatory reporting lifecycle, from data sourcing and aggregation through validation, internal review, sign-off, and timely submission to regulators.</li>\n<li>Ensure regulatory reports accurately reflect stablecoin-specific activities and risks, including issuance, redemption, circulation, reserves, custody arrangements, and transaction flows across on-chain and off-chain systems.</li>\n<li>Design and maintain a robust regulatory reporting control framework, including data quality checks, reconciliations, documentation, and issue remediation to support audit and exam readiness.</li>\n<li>Partner with Engineering, Data, Finance, Compliance and Legal to improve data lineage, transparency, and automation across regulatory reporting processes as the business scales.</li>\n<li>Own regulatory reporting change management, including assessing the impact of new or evolving stablecoin regulations, product launches, and system changes on reporting scope, data requirements, and controls.</li>\n<li>Develop and maintain regulator-ready documentation, including reporting methodologies, assumptions, data lineage, and process documentation to support supervisory reviews and examinations.</li>\n<li>Serve as the primary point of contact for regulatory reporting matters during U.S. regulatory exams, audits, and regulatory inquiries.</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_d9dee25d-ca8","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Stripe","sameAs":"https://stripe.com/","logo":"https://logos.yubhub.co/stripe.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/stripe/jobs/7650177","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["U.S. compliance and regulatory obligations","Stablecoin issuance","Payments","Custody-related activities","Regulatory reporting requirements","Data sourcing and aggregation","Validation","Internal review","Sign-off","Timely submission to regulators","Data quality checks","Reconciliations","Documentation","Issue remediation","Data lineage","Transparency","Automation","Regulatory reporting change management","Regulator-ready documentation"],"x-skills-preferred":["Stablecoins","Digital assets","Fintech platforms","Regulatory reporting for banks","Trust companies","Payment institutions","Money services businesses","Reporting automation","Data pipelines","Reporting tools"],"datePosted":"2026-03-31T18:17:10.717Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"SEA, SF"}},"employmentType":"FULL_TIME","occupationalCategory":"Finance","industry":"Finance","skills":"U.S. compliance and regulatory obligations, Stablecoin issuance, Payments, Custody-related activities, Regulatory reporting requirements, Data sourcing and aggregation, Validation, Internal review, Sign-off, Timely submission to regulators, Data quality checks, Reconciliations, Documentation, Issue remediation, Data lineage, Transparency, Automation, Regulatory reporting change management, Regulator-ready documentation, Stablecoins, Digital assets, Fintech platforms, Regulatory reporting for banks, Trust companies, Payment institutions, Money services businesses, Reporting automation, Data pipelines, Reporting tools"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_8af30937-f0a"},"title":"Senior Engineer","description":"<p>We&#39;re looking for a Senior Engineer to shape the Data Experience for Backstage Portal, Spotify&#39;s enterprise internal developer portal (IDP) used by organisations worldwide.</p>\n<p>Today, data lives in silos across data warehouses and transformation tools, disconnected from the software catalog where teams collaborate. Data Experience begins this problem by automatically ingesting dataset metadata and surfacing it in Backstage&#39;s Software Catalog, making data as discoverable and well-documented as any software component.</p>\n<p>You&#39;ll play a key role in shaping the architecture and product direction while building the connectors, APIs, and UIs that enable our customers&#39; data platform teams to reduce toil, data owners to run datasets, and data consumers to find what they need.</p>\n<p>This isn&#39;t just about building yet another data catalog, it&#39;s about expanding Portal&#39;s mission to serve data practitioners with the same low-code experience that&#39;s redefining platform engineering teams at enterprise organisations.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Develop Backstage-powered UIs with TypeScript and React, and build Node.js backend services that integrate dataset discovery and metadata management with Portal&#39;s catalog, search, and ecosystem.</li>\n</ul>\n<ul>\n<li>Build and maintain connectors that sync datasets and metadata from industry-leading data warehouses and transformation tools into our Data Registry, giving customers a unified view of their data landscape. Drive convergence across integrations to improve scalability, reliability, and ease of adoption</li>\n</ul>\n<ul>\n<li>Partner with Portal customers, data platform teams, data owners, and data consumers to identify problems and iterate on solutions. Bring successful internal use cases and customer findings back into Portal as reusable product capabilities.</li>\n</ul>\n<ul>\n<li>Be responsible for the Full Lifecycle: Lead projects from conceptualisation and design through deployment, monitoring, and customer support, delivering well-tested, maintainable solutions that scale. Make thoughtful tradeoffs to balance near-term delivery with quality, scalability, and maintainability.</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>You have experience building backend services and APIs with Node.js. You are comfortable contributing across the stack as needed, including user-facing experiences built with modern web technologies such as Typescript and React.</li>\n</ul>\n<ul>\n<li>You bring a shown understanding of data engineering concepts such as data quality, governance, transformation, and orchestration, along with experience working with modern data platforms, allowing you to design integrations that align with how data practitioners lead and consume datasets.</li>\n</ul>\n<ul>\n<li>You bring strong technical opinions and exercise good judgment, while remaining open to feedback and new information.</li>\n</ul>\n<ul>\n<li>You thrive in full-cycle product development, from discovery through delivery and operations, continuously improving how solutions are built and evolved over time.</li>\n</ul>\n<ul>\n<li>You are a clear and effective communicator who collaborates closely with engineers, product managers, and customers to shape an intuitive data experience, contributing to a growing B2B product through strong multi-functional partnerships.</li>\n</ul>\n<p><strong>Benefits</strong></p>\n<ul>\n<li>The United States base range for this position is $164,448-234,926 plus equity.</li>\n</ul>\n<ul>\n<li>The benefits available for this position include health insurance, six month paid parental leave, 401(k) retirement plan, monthly meal allowance, 23 paid days off, 13 paid flexible holidays, paid sick leave.</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_8af30937-f0a","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Spotify","sameAs":"https://www.spotify.com/","logo":"https://logos.yubhub.co/spotify.com.png"},"x-apply-url":"https://jobs.lever.co/spotify/7aa8f2c1-eaa7-445a-a2ed-9e1be3ae2dd4","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$164,448-234,926","x-skills-required":["Node.js","Typescript","React","Data engineering","Data quality","Governance","Transformation","Orchestration"],"x-skills-preferred":[],"datePosted":"2026-03-31T18:16:36.374Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"NYC"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Node.js, Typescript, React, Data engineering, Data quality, Governance, Transformation, Orchestration","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":164448,"maxValue":234926,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_107b978a-791"},"title":"Data - Regulatory Reporting, Luxembourg","description":"<p>We are seeking a Data and Regulatory Reporting professional to build and operate our regulatory reporting production line, including robust data sourcing, reconciliation, data quality controls, and submission governance.</p>\n<p>The role partners closely with our Data Officer based in San Francisco and the regulatory reporting team based in Ireland. The tight collaboration will ensure timely, accurate, and auditable reporting to the CSSF and efficient responses to supervisory requests.</p>\n<p><strong>Regulatory Reporting Production and Controls</strong></p>\n<ul>\n<li>Own end-to-end production of periodic regulatory and prudential reporting for Bridge Building S.A. (CSSF periodic reports, BCL reports, CRS, CARF and CESOP).</li>\n<li>Implement and operate first-line controls to ensure data completeness, data accuracy, and data timeliness, including reconciliations to the general ledger, sub-ledgers and Bridge Building S.A.&#39;s platform.</li>\n</ul>\n<p><strong>Data Governance and Data Quality</strong></p>\n<ul>\n<li>Define reporting data models, lineage, and data dictionaries; maintain consistent definitions for key regulatory metrics.</li>\n<li>Implement data quality rules, exception management, and remediation workflows in collaboration with data owners.</li>\n</ul>\n<p><strong>Submission Governance and Regulator Readiness</strong></p>\n<ul>\n<li>Maintain submission procedures, access controls, and audit trails for regulatory transmissions and supervisory requests.</li>\n<li>Support responses to CSSF questions, reporting-related inspections, and remediation plans where issues are identified.</li>\n</ul>\n<p><strong>Automation and Scalability</strong></p>\n<ul>\n<li>Drive automation of reporting workflows (e.g. SQL/ETL/BI) to reduce manual effort and operational risk.</li>\n<li>Maintain clear documentation, runbooks, and operational KPIs for reporting processes.</li>\n</ul>\n<p><strong>Key Requirements</strong></p>\n<ul>\n<li>Bachelor&#39;s or Master&#39;s degree in Finance, Data/Analytics, Statistics, Engineering, or a related field.</li>\n<li>3-5 years in regulatory reporting and/or regulatory data management within regulated financial services (payments/EMI/PI, fintech, bank, or advisory).</li>\n<li>Proven experience implementing reconciliations, data controls, and reporting governance with strong audit discipline.</li>\n</ul>\n<p><strong>Skills</strong></p>\n<ul>\n<li>Strong SQL and data transformation skills; ability to translate regulatory requirements into data specifications. Live SQL assessment will be part of the interview.</li>\n<li>Strong controls mindset, attention to detail, and capability to manage deadlines and stakeholders.</li>\n</ul>\n<p><strong>Languages</strong></p>\n<ul>\n<li>Fluent English required</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_107b978a-791","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Bridge Building S.A.","sameAs":"https://www.bridgebuildingsa.com/","logo":"https://logos.yubhub.co/bridgebuildingsa.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/stripe/jobs/7587256","x-work-arrangement":"onsite","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["SQL","data transformation","regulatory reporting","data governance","data quality"],"x-skills-preferred":[],"datePosted":"2026-03-31T18:10:40.855Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Luxembourg"}},"employmentType":"FULL_TIME","occupationalCategory":"Finance","industry":"Finance","skills":"SQL, data transformation, regulatory reporting, data governance, data quality"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_51fb35f8-ae2"},"title":"Data Engineer","description":"<p>We are seeking an experienced Data Engineer to join our team. As a Data Engineer, you will be responsible for designing, developing, and maintaining large-scale data systems and pipelines. You will work closely with cross-functional teams to ensure seamless integration with existing systems and to drive business growth through data-driven insights.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Design and develop scalable data architectures using cloud-based technologies such as AWS and Azure</li>\n<li>Develop and maintain ETL processes to extract, transform, and load data from various sources</li>\n<li>Collaborate with data scientists to develop and deploy machine learning models</li>\n<li>Ensure data quality, security, and compliance with regulatory requirements</li>\n<li>Work with stakeholders to identify business needs and develop data solutions</li>\n</ul>\n<p>Requirements:</p>\n<ul>\n<li>Bachelor&#39;s degree in Computer Science, Engineering, or related field</li>\n<li>3+ years of experience in data engineering or a related field</li>\n<li>Strong understanding of data architecture, design patterns, and best practices</li>\n<li>Experience with cloud-based technologies such as AWS and Azure</li>\n<li>Proficiency in programming languages such as Python, Java, or C++</li>\n<li>Excellent problem-solving skills and attention to detail</li>\n</ul>\n<p>Preferred Qualifications:</p>\n<ul>\n<li>Master&#39;s degree in Computer Science, Engineering, or related field</li>\n<li>Experience with big data technologies such as Hadoop, Spark, or NoSQL databases</li>\n<li>Familiarity with data visualization tools such as Tableau, Power BI, or D3.js</li>\n<li>Certification in data engineering or a related field</li>\n</ul>\n<p>Benefits:</p>\n<ul>\n<li>Competitive salary and benefits package</li>\n<li>Opportunity to work with a leading technology business</li>\n<li>Collaborative and dynamic work environment</li>\n<li>Professional development opportunities</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_51fb35f8-ae2","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Williams Advanced Engineering","sameAs":"https://www.williamsadvancedengineering.com/","logo":"https://logos.yubhub.co/williamsadvancedengineering.com.png"},"x-apply-url":"https://careers.williamsf1.com/job/trackside-operations-lead-hospitality-in-london-jid-494","x-work-arrangement":"onsite","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["AWS","Azure","Python","Java","C++","ETL","data architecture","data design patterns","data quality","data security","regulatory compliance"],"x-skills-preferred":["Hadoop","Spark","NoSQL databases","Tableau","Power 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Responsibilities</strong></p>\n<ul>\n<li>Generate and validate high-quality data annotations, based on guidelines and continuous feedback, for the development and evaluation of AI models</li>\n<li>In collaboration with the technical team, review/audit annotations, clarify requirements, share insights, and improve annotation processes, tools, and guidelines</li>\n</ul>\n<p><strong>About You</strong></p>\n<ul>\n<li>Relevant academic background (science, technology, engineering, mathematics)</li>\n<li>Professional proficiency in English, with strong writing and comprehension skills</li>\n<li>Outstanding research and analytical skills</li>\n<li>Exercises great judgement with complex instructions, limited data, and/or multiple information sources</li>\n<li>Excellent communication, interpersonal, and organisational abilities</li>\n<li>Adapts easily to dynamic environments and changing requirements</li>\n<li>Appetite for operational work and high tolerance for repetitive tasks</li>\n<li>Passionate about and committed to learning new tools and technologies</li>\n</ul>\n<p><strong>Nice To Have</strong></p>\n<ul>\n<li>Proven track record working with data</li>\n<li>Fluency in multiple languages</li>\n<li>Experience with code</li>\n</ul>\n<p><strong>Benefits</strong></p>\n<ul>\n<li>Competitive cash salary and equity</li>\n<li>Food: Daily lunch vouchers</li>\n<li>Sport: Monthly contribution to a Gympass subscription</li>\n<li>Transportation: Monthly contribution to a mobility pass</li>\n<li>Health: Full health insurance for you and your family</li>\n<li>Parental: Generous parental leave policy</li>\n<li>Visa sponsorship</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_86ac24a1-ecf","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Mistral","sameAs":"https://www.mistral.ai/"},"x-apply-url":"https://jobs.lever.co/mistral/1cb8bbe9-012f-46a6-83d0-1200be477793","x-work-arrangement":"remote","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["data quality","analytical skills","human data annotation","AI models","research skills","English proficiency","writing skills","comprehension skills","judgement","complex instructions","limited data","multiple information sources","communication skills","interpersonal skills","organisational skills"],"x-skills-preferred":["proven track record working with data","fluency in multiple languages","experience with 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They proudly serve more than 10 million U.S. households with more than 19 million individual policies across all 50 states through the efforts of over 48,000 exclusive and independent agents and nearly 18,500 employees.</p>\n<p>The Senior Data Management Analyst ensures accurate and compliant data reporting by translating regulatory requirements into internal reports, developing and maintaining reporting tools, and collaborating with stakeholders to address data needs and improve data processes.</p>\n<p><strong>Responsibilities</strong></p>\n<p>Reviews Regulatory requirements (Statutory Plans) &amp; translates to internal data reporting requirements.\nDevelops and prepares new reports and applications using multiple sources of information.\nEvaluates information being reported for consistency, completeness, accuracy, and reasonableness.\nMaintains and provides support for existing tools and applications used in the analysis of information.\nCommunicates with actuaries, accountants, product managers, and IT counterparts regarding data and business requirements for new reports or applications.\nPrepares internal and external correspondence related to the development and understanding of information.\nConducts research into proposed solutions for data quality issues and the development of new reports or applications.\nImplements process efficiencies and automations.\nAssists in the cross-training and development of other professional personnel as assigned.</p>\n<p><strong>Requirements</strong></p>\n<p>Work Experience in This Field:\nMinimum Required: 1-3 years\nPreferred: 4-6 years\nInsurance Background - must\nData Reporting strongly preferred</p>\n<p>English Proficiency:\nMinimum Required: Fluent</p>\n<p>Required Education:\nMinimum Required: Bachelor’s Degree</p>\n<p>Required Branches of Study:\nInformation Technology\nBusiness</p>\n<p>Additional Preferred Branches of Study:\nAccounting/Audit/Finance\nActuary/Math\nInsurance\nData Management</p>\n<p>Other Critical Skills:\nData Quality Checks and Balances +2 Years\nData Analysis and Trending +3 Years\nProject Management: Entry Level\nReporting Automation +2 Years\nStrong Analytical Skills\nAdvanced communication and collaboration skills</p>\n<p>Software / Tool Skills:\nExcel +3 years\nSQL +3 years\nSAS EG: Entry Level (1-3 years)\nPowerPoint +2 years\nPower BI +2 years\nPhyton +2 years</p>\n<p><strong>Benefits</strong></p>\n<p>This position comes with a competitive compensation and benefits package:</p>\n<ol>\n<li>Competitive salary and performance-based bonuses</li>\n<li>Comprehensive benefits package</li>\n<li>Career development and training opportunities</li>\n<li>Flexible work arrangements (remote and/or office-based)</li>\n<li>Dynamic and inclusive work culture within a globally renowned group</li>\n<li>Private Health Insurance</li>\n<li>Pension Plan</li>\n<li>Paid Time Off</li>\n<li>Training &amp; Development</li>\n</ol>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_928d6bd5-20e","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Capgemini","sameAs":"https://jobs.workable.com","logo":"https://logos.yubhub.co/view.com.png"},"x-apply-url":"https://jobs.workable.com/view/bhF3rM6rQ3t92P3uNybqSo/remote-fbs-data-management-specialist-in-mexico-at-capgemini","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Data Quality Checks and Balances","Data Analysis and Trending","Project Management","Reporting Automation","Excel","SQL","SAS EG","PowerPoint","Power BI","Phyton"],"x-skills-preferred":["Insurance Background","Data Reporting"],"datePosted":"2026-03-09T17:03:37.208Z","jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Finance","industry":"Insurance","skills":"Data Quality Checks and Balances, Data Analysis and Trending, Project Management, Reporting Automation, Excel, SQL, SAS EG, PowerPoint, Power BI, Phyton, Insurance Background, Data Reporting"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_2b37c983-438"},"title":"Associate Data Engineer","description":"<p><strong><strong>Job Description</strong></strong></p>\n<p>You&#39;ll be joining the Applications team, which is an Engineering function within Quantexa&#39;s R&amp;D department that is focused on internally building real-world applications of the Quantexa Platform.</p>\n<p>This function enables demonstrations of the product and develops SaaS offerings, whilst also testing and refining new Platform features before they are deployed by clients. The function develops and releases its own tools that feed into these internal applications and are also packaged and released to help standardize and accelerate all Quantexa deployments.</p>\n<p>It encompasses four distinct sub-teams:</p>\n<p><strong><strong>Data Engineering Accelerators</strong></strong></p>\n<ul>\n<li>Developing Quantexa&#39;s libraries for cleansing, parsing and standardising data used in entity resolution</li>\n<li>Finding efficiency/performance improvements through big data testing and building performance tooling</li>\n<li>Owning best practices in entity resolution and network building</li>\n</ul>\n<p><strong><strong>Data Feeds</strong></strong></p>\n<ul>\n<li>Building standardised and reusable code for processing various third party/open source data sets</li>\n<li>Managing an internal data lake for the provision of this data by other teams for testing and analytics</li>\n<li>Owning general best practices for ingesting and processing data to get it ready for use in the Quantexa Platform, including pipelines and scheduling</li>\n</ul>\n<p><strong><strong>Demos</strong></strong></p>\n<ul>\n<li>Developing, deploying and maintaining all Quantexa demos, showcasing the different use cases for the Quantexa Platform</li>\n<li>Owning the Quantexa Trial platform, for prospective Quantexa clients to see the product in action using real data provided by Data Feeds</li>\n<li>Building tools to enable solution owners and sales to create their own custom demos</li>\n</ul>\n<p><strong><strong>SaaS</strong></strong></p>\n<ul>\n<li>Building Quantexa&#39;s emerging SaaS offering, a cloud hosted, standardized deployment of the Quantexa Platform</li>\n<li>Targeting mid-market banks in the US for Retail AML initially, providing them with a cost-effective Quantexa solution, then expanding in future to more use cases and geographies</li>\n<li>Implementing cutting edge features of the Quantexa Platform ensuring SaaS customers always on the latest and greatest of Quantexa</li>\n</ul>\n<p><strong><strong>Requirements</strong></strong></p>\n<ul>\n<li>Data processing/ETL pipelines</li>\n<li>Analysing and examining real and varied data</li>\n<li>Full stack development, but with a heavy focus on the data processing/ETL side</li>\n<li>Solving difficult problems with efficient, resilient, high impact code</li>\n<li>Working in the cloud with production-grade systems</li>\n<li>Defining best-practices and sharing expertise you’ve developed</li>\n<li>Working in a fast moving, Agile environment</li>\n<li>Growing and thriving within one of the UK’s fastest growing scale-ups</li>\n</ul>\n<p><strong><strong>Experience in the following would be beneficial:</strong></strong></p>\n<ul>\n<li>A strong coding background, ideally in Scala or otherwise in a relevant language that will allow you to learn Scala quickly (e.g. Java/Python)</li>\n<li>Big data, either from a software deployment/implementation or a data science perspective</li>\n<li>Working with big data technology, ideally Spark but others will also be useful such as Airflow or Elasticsearch</li>\n<li>Working in an Agile environment</li>\n<li>Building data processing pipelines for use in production batch systems, including either traditional ETL pipelines and/or analytics pipelines</li>\n<li>Manipulating data through cleansing, parsing, standardising etc, especially in relation to improving data quality/integrity</li>\n<li>Building and deploying SaaS products</li>\n</ul>\n<p><strong><strong>Benefits</strong></strong></p>\n<ul>\n<li>Competitive salary and Company Bonus</li>\n<li>Flexible working hours in a hybrid workplace &amp; 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By combining international reach with US expertise, we build diverse and high-performing teams that are equipped to thrive in today’s competitive marketplace.</p>\n<p>We believe that the foundation of every successful business lies in having the right people with the right skills. That is where we come in—helping Farmers build a winning team that delivers consistent and sustainable results.</p>\n<p>Since we don’t have a local legal entity, we’ve partnered with Capgemini, which acts as the Employer of Record. Capgemini is responsible for managing local payroll and benefits.</p>\n<p><strong>What to expect on your journey with us:</strong></p>\n<ul>\n<li>A solid and innovative company with a strong market presence</li>\n</ul>\n<ul>\n<li>A dynamic, diverse, and multicultural work environment</li>\n</ul>\n<ul>\n<li>Leaders with deep market knowledge and strategic vision</li>\n</ul>\n<ul>\n<li>Continuous learning and development</li>\n</ul>\n<p><strong>Team Function</strong> The Direct modeling team is focused on creating models to guide enterprise marketing decision that will help to promote brand awareness as well as boost sales through direct channel.</p>\n<p><strong>Role Description:</strong></p>\n<p>This position plays a crucial role in the data ecosystem by iteratively transforming raw data into structured, high-quality datasets that are ready for analysis in partnership with data/decision scientists. The role primarily focuses on moderately complex business problems while receiving limited coaching and guidance from data leadership. The role combines the technical skills of a data engineer, the analytical mindset of a data analyst, and strong business acumen to ensure data is not only collected and stored efficiently but also made accessible and insightful for end users. In partnership with data/decision scientists, the position is responsible for end-to-end data workflow including data ingestion, transformation, modeling, and validation to enable data-driven decision-making across the organization. This position requires deep understanding of data engineering, business processes, and analytics principles as well as a proactive approach to solving complex data challenges.</p>\n<p><strong>Essential Job Functions:</strong></p>\n<p><strong>1) Data infrastructure development</strong>: Pipeline Design and Development; Architects and builds scalable data pipelines using modern ETL (Extract, Load, Transform) tools and frameworks such as dbt (Data Build Tool), Apache Airflow, or similar. Automates data ingestion processes from various sources including databases, APIs, and third party services. Data Storage and Management - Designs and implements data warehousing solutions using platforms like Snowflake, Redshift, or BigQuery. Optimizes storage solutions for performance, cost efficiency, and scalability.</p>\n<p><strong>2) Data modeling and transformation:</strong> Data Modeling - Develops and maintains logical and physical data models to support business analytics. Creates and manages dimensional models, star/snowflake schemas, and other data structures. Data Transformation - Transforms raw data into clean, organized, and analytics-ready datasets using SQL, Python, or other relevant languages. Implements data transformation workflows to handle data cleansing, normalization, and enrichment. Data Quality Assurance - Conducts data validation and consistency checks to ensure the accuracy and reliability of data. Implements data quality monitoring and alerting mechanisms.</p>\n<p><strong>3) Collaboration and stakeholder management:</strong> Cross-Functional Collaboration - Works closely with data analysts, data scientists, and business stakeholders to gather requirements and understand their data needs. Acts as a liaison between technical teams and business units to translate business requirements into technical specifications. Technical Communication - Clearly communicates complex technical concepts and data insights to non-technical stakeholders. Provides training and support to team members on data tools, best practices, and methodologies.</p>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>Over 4 years of experience in data development and analytics engineering using Python, SQL, DBT and Snowflake.</li>\n</ul>\n<ul>\n<li>Bachelor’s degree in Computer Science, Data Science, Engineering or other Math or Technology related degrees.</li>\n</ul>\n<ul>\n<li>Fluency in English</li>\n</ul>\n<p><strong>Software / Tools</strong></p>\n<ul>\n<li>SQL (must have)</li>\n</ul>\n<ul>\n<li>Python (must have)</li>\n</ul>\n<ul>\n<li>Snowflake (must have)</li>\n</ul>\n<ul>\n<li>DBT (must have)</li>\n</ul>\n<p><strong>Other Critical Skills</strong></p>\n<ul>\n<li>Data Transformation</li>\n</ul>\n<ul>\n<li>Data Quality Assurance</li>\n</ul>\n<ul>\n<li>Pipeline Design and Development</li>\n</ul>\n<ul>\n<li>Technical Communication</li>\n</ul>\n<ul>\n<li>Independent work</li>\n</ul>\n<ul>\n<li>Orientation to detail</li>\n</ul>\n<p><strong>Benefits</strong></p>\n<p>This position comes with a competitive compensation and benefits package.</p>\n<ul>\n<li>A competitive salary and performance-based bonuses.</li>\n</ul>\n<ul>\n<li>Comprehensive benefits package.</li>\n</ul>\n<ul>\n<li>Flexible work arrangements (remote and/or office-based).</li>\n</ul>\n<ul>\n<li>You will also enjoy a dynamic and inclusive work culture within a globally renowned group.</li>\n</ul>\n<ul>\n<li>Private Health Insurance.</li>\n</ul>\n<ul>\n<li>Paid Time Off.</li>\n</ul>\n<ul>\n<li>Training &amp; Development opportunities in partnership with renowned companies.</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_65e7bd92-c31","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Capgemini","sameAs":"https://jobs.workable.com","logo":"https://logos.yubhub.co/view.com.png"},"x-apply-url":"https://jobs.workable.com/view/ws76jLTZQ1JKbCcs3CUiC4/remote-fbs-analytics-engineer-in-brazil-at-capgemini","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["SQL","Python","Snowflake","DBT","Data Transformation","Data Quality Assurance","Pipeline Design and Development","Technical Communication","Independent work","Orientation to detail"],"x-skills-preferred":[],"datePosted":"2026-03-09T17:02:50.114Z","jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"SQL, Python, Snowflake, DBT, Data Transformation, Data Quality Assurance, Pipeline Design and Development, Technical Communication, Independent work, Orientation to detail"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_07642fea-983"},"title":"Solution Architect","description":"<p><strong>Solution Architect at Quantexa</strong></p>\n<p><strong>What We&#39;re All About</strong></p>\n<p>At Quantexa, we&#39;re a team of bright minds working together to deliver unparalleled solutions to our clients. Our technology started out in FinTech, helping tackle serious criminal activity, and now its potential is virtually limitless. We&#39;re a real team, collaborating and constantly engineering better and better solutions.</p>\n<p><strong>The Opportunity</strong></p>\n<p>Our Solution Architecture team plays a pivotal role in our mission to deliver top-tier service to our clients. As a Solution Architect at Quantexa, you&#39;ll engage in a multitude of customer projects, collaborating closely with internal and external stakeholders. You&#39;ll be responsible for crafting technical designs and providing expert guidance for all customer implementations.</p>\n<p><strong>What You&#39;ll Be Doing</strong></p>\n<p>As a Solution Architect, you&#39;ll play a crucial role in securing the success of our customer delivery projects. Your responsibilities will include:</p>\n<ul>\n<li>Producing creative solution and environment designs to meet complex competing requirements</li>\n<li>Serving as the go-to person for challenging technical situations and using your problem-solving skills, technical knowledge, and bigger picture view to solve them</li>\n<li>Acting as a trusted advisor to our customers to help them make the right decisions and get the most value out of their Quantexa implementation</li>\n<li>Using your knowledge and experience to make improvements to business-wide best practices</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<p>To be successful in this role, you&#39;ll need to bring the following skills and experience:</p>\n<ul>\n<li>A determination to build systems that maximise customer value</li>\n<li>Extensive experience in hands-on technical deliveries, with a proven track record of leading technical teams through the end-to-end process, from initial design to successful implementation of production systems</li>\n<li>Excellent technical skills, including hands-on coding experience of at least one of the following: Spark, Scala, Java, or production-grade Python</li>\n<li>Proven expertise in technical and solution design, encompassing the development of systems tailored to address complex data-focused functional requirements and non-functional requirements such as performance, maintainability, security, and seamless systems integration</li>\n<li>Extensive experience in working with data and successfully navigating common challenges, including data quality assurance, updates, adaptability to data structure changes, and effective rollback strategies</li>\n<li>Excellent client-facing, communication, and presentation skills</li>\n<li>Native or fluent proficiency in both Japanese and English, with the ability to speak, read, and write in both languages</li>\n</ul>\n<p><strong>Benefits</strong></p>\n<p>At Quantexa, we offer a range of benefits to support your career development and well-being, including:</p>\n<ul>\n<li>Competitive salary</li>\n<li>Company bonus</li>\n<li>Free Calm App Subscription</li>\n<li>Ongoing personal development</li>\n<li>Great company-wide socials</li>\n<li>Plus other local benefits</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_07642fea-983","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Quantexa","sameAs":"https://jobs.workable.com","logo":"https://logos.yubhub.co/view.com.png"},"x-apply-url":"https://jobs.workable.com/view/5Z9hTJgU2EoYtcGoynVMSs/hybrid-solution-architect-in-tokyo-at-quantexa","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Spark","Scala","Java","Python","technical design","solution design","data quality assurance","data structure changes","rollback strategies","client-facing skills","communication skills","presentation skills","Japanese","English"],"x-skills-preferred":["data analytics","FinTech","problem-solving skills","technical knowledge","business-wide best practices"],"datePosted":"2026-03-09T17:00:32.920Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Tokyo"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Spark, Scala, Java, Python, technical design, solution design, data quality assurance, data structure changes, rollback strategies, client-facing skills, communication skills, presentation skills, Japanese, English, data analytics, FinTech, problem-solving skills, technical knowledge, business-wide best practices"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_5aabf454-ae0"},"title":"FBS Analytics Engineer","description":"<p>FBS – Farmer Business Services is part of Farmers operations with the purpose of building a global approach to identifying, recruiting, hiring, and retaining top talent. By combining international reach with US expertise, we build diverse and high-performing teams that are equipped to thrive in today’s competitive marketplace.</p>\n<p>We believe that the foundation of every successful business lies in having the right people with the right skills. That is where we come in—helping Farmers build a winning team that delivers consistent and sustainable results.</p>\n<p>Since we don’t have a local legal entity, we’ve partnered with Capgemini, which acts as the Employer of Record. Capgemini is responsible for managing local payroll and benefits.</p>\n<p><strong>What to expect on your journey with us:</strong></p>\n<ul>\n<li>A solid and innovative company with a strong market presence</li>\n<li>A dynamic, diverse, and multicultural work environment</li>\n<li>Leaders with deep market knowledge and strategic vision</li>\n<li>Continuous learning and development</li>\n</ul>\n<p><strong>Team Function</strong></p>\n<p>The Direct modeling team is focused on creating models to guide enterprise marketing decision that will help to promote brand awareness as well as boost sales through direct channel.</p>\n<p><strong>Role Description:</strong></p>\n<p>This position plays a crucial role in the data ecosystem by iteratively transforming raw data into structured, high-quality datasets that are ready for analysis in partnership with data/decision scientists. The role primarily focuses on moderately complex business problems while receiving limited coaching and guidance from data leadership. The role combines the technical skills of a data engineer, the analytical mindset of a data analyst, and strong business acumen to ensure data is not only collected and stored efficiently but also made accessible and insightful for end users. In partnership with data/decision scientists, the position is responsible for end-to-end data workflow including data ingestion, transformation, modeling, and validation to enable data-driven decision-making across the organization. This position requires deep understanding of data engineering, business processes, and analytics principles as well as a proactive approach to solving complex data challenges.</p>\n<p><strong>Essential Job Functions:</strong></p>\n<p><strong>1) Data infrastructure development</strong>: Pipeline Design and Development; Architects and builds scalable data pipelines using modern ETL (Extract, Load, Transform) tools and frameworks such as dbt (Data Build Tool), Apache Airflow, or similar. Automates data ingestion processes from various sources including databases, APIs, and third party services. Data Storage and Management - Designs and implements data warehousing solutions using platforms like Snowflake, Redshift, or BigQuery. Optimizes storage solutions for performance, cost efficiency, and scalability.</p>\n<p><strong>2) Data modeling and transformation:</strong> Data Modeling - Develops and maintains logical and physical data models to support business analytics. Creates and manages dimensional models, star/snowflake schemas, and other data structures. Data Transformation - Transforms raw data into clean, organized, and analytics-ready datasets using SQL, Python, or other relevant languages. Implements data transformation workflows to handle data cleansing, normalization, and enrichment. Data Quality Assurance - Conducts data validation and consistency checks to ensure the accuracy and reliability of data. Implements data quality monitoring and alerting mechanisms.</p>\n<p><strong>3) Collaboration and stakeholder management:</strong> Cross-Functional Collaboration - Works closely with data analysts, data scientists, and business stakeholders to gather requirements and understand their data needs. Acts as a liaison between technical teams and business units to translate business requirements into technical specifications. Technical Communication - Clearly communicates complex technical concepts and data insights to non-technical stakeholders. Provides training and support to team members on data tools, best practices, and methodologies.</p>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>Over 4 years of experience in data development and analytics engineering using Python, SQL, DBT and Snowflake.</li>\n<li>Bachelor’s degree in Computer Science, Data Science, Engineering or other Math or Technology related degrees.</li>\n<li>Fluency in English</li>\n</ul>\n<p><strong>Software / Tools</strong></p>\n<ul>\n<li>SQL (must have)</li>\n<li>Python (must have)</li>\n<li>Snowflake (must have)</li>\n<li>DBT (must have)</li>\n</ul>\n<p><strong>Other Critical Skills</strong></p>\n<ul>\n<li>Data Transformation</li>\n<li>Data Quality Assurance</li>\n<li>Pipeline Design and Development</li>\n<li>Technical Communication</li>\n<li>Independent work</li>\n<li>Orientation to detail</li>\n</ul>\n<p><strong>Benefits</strong></p>\n<p>This position comes with a competitive compensation and benefits package.</p>\n<ul>\n<li>A competitive salary and performance-based bonuses.</li>\n<li>Comprehensive benefits package.</li>\n<li>Flexible work arrangements (remote and/or office-based).</li>\n<li>You will also enjoy a dynamic and inclusive work culture within a globally renowned group.</li>\n<li>Private Health Insurance.</li>\n<li>Paid Time Off.</li>\n<li>Training &amp; Development opportunities in partnership with renowned companies.</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_5aabf454-ae0","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Capgemini","sameAs":"https://jobs.workable.com","logo":"https://logos.yubhub.co/view.com.png"},"x-apply-url":"https://jobs.workable.com/view/htNwC3gPnBQ9oxedafiBav/remote-fbs-analytics-engineer-in-mexico-at-capgemini","x-work-arrangement":"remote","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["SQL","Python","Snowflake","DBT","Data Transformation","Data Quality Assurance","Pipeline Design and Development","Technical Communication","Independent work","Orientation to detail"],"x-skills-preferred":[],"datePosted":"2026-03-09T17:00:16.662Z","jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"SQL, Python, Snowflake, DBT, Data Transformation, Data Quality Assurance, Pipeline Design and Development, Technical Communication, Independent work, Orientation to detail"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_a1e677dc-c49"},"title":"FBS Assoc Business Solution Analyst","description":"<p><strong>Job Description</strong></p>\n<p>Our client is a leading insurer seeking a Business Solution Analyst to join their team. As a Business Solution Analyst, you will play a critical role in defining, understanding, quantifying, and explaining metrics for the department. You will work closely with Data Leadership and Data team leads to determine metrics to capture and measure for progress and define how the metric will be defined and calculated.</p>\n<p><strong>Role Responsibilities</strong></p>\n<ul>\n<li>Design, develop, and maintain business intelligence solutions using PowerBI</li>\n<li>Work closely with stakeholders to understand their reporting needs and translate them into actionable insights</li>\n<li>Build and maintain dashboards and reports for the data department</li>\n<li>Expert in visualization technologies such as PowerBI</li>\n<li>Define, capture, and publish metrics ensuring continuous improvement and driving adherence to achieving goals</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>Bachelor&#39;s degree</li>\n<li>English proficiency</li>\n<li>Power BI Expertise (4-6 years of experience)</li>\n<li>Strong hands-on experience creating, modifying, and maintaining reports and dashboards</li>\n<li>Comfortable connecting to various backend systems</li>\n<li>Must have experience with real-world Power BI reporting</li>\n<li>Ability to understand stakeholder needs and translate them into effective visuals</li>\n<li>Can communicate data insights clearly and influence teams</li>\n<li>Able to problem-solve and normalize inconsistent data from multiple sources</li>\n<li>Must handle ambiguity and shift priorities well</li>\n</ul>\n<p><strong>Benefits</strong></p>\n<p>This position comes with a competitive compensation and benefits package:</p>\n<ol>\n<li>Competitive salary and performance-based bonuses</li>\n<li>Comprehensive benefits package</li>\n<li>Career development and training opportunities</li>\n<li>Flexible work arrangements (remote and/or office-based)</li>\n<li>Dynamic and inclusive work culture within a globally renowned group</li>\n<li>Private Health Insurance</li>\n<li>Pension Plan</li>\n<li>Paid Time Off</li>\n<li>Training &amp; Development</li>\n</ol>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_a1e677dc-c49","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Capgemini","sameAs":"https://jobs.workable.com","logo":"https://logos.yubhub.co/view.com.png"},"x-apply-url":"https://jobs.workable.com/view/2VaJGuY5MDEbDP6Gxc1FB4/remote-fbs-assoc-business-solution-analyst-in-mexico-at-capgemini","x-work-arrangement":"remote","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Power BI","Data Analysis","Business Intelligence","Visualization","SQL Server","Snowflake","ETL concepts"],"x-skills-preferred":["Data Quality Dimensions","Data Environments","Team Player","Emotional Intelligence","Influencing Skills"],"datePosted":"2026-03-09T16:59:43.493Z","jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"IT","industry":"Finance","skills":"Power BI, Data Analysis, Business Intelligence, Visualization, SQL Server, Snowflake, ETL concepts, Data Quality Dimensions, Data Environments, Team Player, Emotional Intelligence, Influencing Skills"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_691ef8cf-5a3"},"title":"Solution Architect","description":"<p><strong>Solution Architect at Quantexa</strong></p>\n<p>We&#39;re looking for a skilled Solution Architect to join our team at Quantexa. As a Solution Architect, you will play a pivotal role in delivering unparalleled solutions to our clients. You will engage in a multitude of customer projects, collaborating closely with a diverse range of internal and external stakeholders.</p>\n<p><strong>What You&#39;ll Be Doing</strong></p>\n<ul>\n<li>Producing creative solution and environment designs to meet complex competing requirements</li>\n<li>Serving as the go-to person for challenging technical situations and using your problem-solving skills, technical knowledge and bigger picture view to solve them</li>\n<li>Acting as a trusted advisor to our customers to help them make the right decisions and get the most value out of their Quantexa implementation</li>\n<li>Using your knowledge and experience to make improvements to business-wide best practices</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>A determination to build systems which maximise customer value</li>\n<li>Extensive experience in hands-on technical deliveries, with a proven track record of leading technical teams through the end-to-end process, from initial design to successful implementation of production systems</li>\n<li>Excellent technical skills including hands-on coding experience of at least one of the following Spark, Scala, Java or production grade Python and comprehensive grasp of Software Development Life Cycle (SDLC) principles, encompassing proficiency in unit testing, version control using Git, and the establishment of engineering best practices</li>\n<li>Proven expertise in technical and solution design, encompassing the development of systems tailored to address complex data focussed functional requirements and non-functional requirements such as performance, maintainability, security, and seamless systems integration</li>\n<li>Extensive experience in working with data and successfully navigating common challenges, including data quality assurance, updates, adaptability to data structure changes, and effective rollback strategies</li>\n<li>Excellent client facing, communication and presentation skills</li>\n</ul>\n<p><strong>Benefits</strong></p>\n<ul>\n<li>Competitive salary</li>\n<li>Company bonus</li>\n<li>Annual leave, plus national holidays + your birthday off!</li>\n<li>Regularly bench-marked salary rates</li>\n<li>Well-being days</li>\n<li>Volunteer Day off</li>\n<li>Work from Home Equipment</li>\n<li>Free Calm App Subscription #1 app for meditation, relaxation and sleep</li>\n<li>Continuous Training and Development, including access to Udemy Business</li>\n<li>Spend up to 2 months working outside of your country of employment over a rolling 12-month period with our &#39;Work from Anywhere&#39; policy</li>\n<li>Employee Referral Program</li>\n<li>Team Social Budget &amp; Company-wide Socials</li>\n</ul>\n<p><strong>Our Mission</strong></p>\n<p>We have one mission. To help businesses grow. To make data easier. And to make the world a better place. We&#39;re not a start-up. Not anymore. But we&#39;ve not been around that long either. What we are is a collection of bright, passionate minds harnessing complexities and helping our clients and their communities. One culture, made of many. Heading in one direction – the future.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_691ef8cf-5a3","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Quantexa","sameAs":"https://jobs.workable.com","logo":"https://logos.yubhub.co/view.com.png"},"x-apply-url":"https://jobs.workable.com/view/oXbrmgfAsFwsp1JPJtabck/hybrid-solution-architect-in-m%C3%A1laga-at-quantexa","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Spark","Scala","Java","Python","Software Development Life Cycle (SDLC) principles","unit testing","version control using Git","engineering best practices","technical and solution design","data quality assurance","data structure changes","rollback strategies"],"x-skills-preferred":["communication and presentation skills","client facing skills"],"datePosted":"2026-03-09T16:57:22.668Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Málaga, Andalusia, Spain"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Spark, Scala, Java, Python, Software Development Life Cycle (SDLC) principles, unit testing, version control using Git, engineering best practices, technical and solution design, data quality assurance, data structure changes, rollback strategies, communication and presentation skills, client facing skills"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_ba5e5f71-701"},"title":"FBS Associate Analytics Engineer","description":"<p>FBS Associate Analytics Engineer</p>\n<p>We are seeking an FBS Associate Analytics Engineer to join our team. As an FBS Associate Analytics Engineer, you will play a key role in transforming raw data into structured, high-quality datasets that are ready for analysis. You will work on low to moderately complex business problems, receiving coaching and guidance from data leadership. Your primary focus will be on end-to-end data workflow, including data ingestion, transformation, modeling, and validation to enable data-driven decision-making across the organization.</p>\n<p>Responsibilities</p>\n<ul>\n<li>Emerging data infrastructure development with coaching and guidance: Pipeline Design and Development – Architects and builds scalable data pipelines using modern ETL (Extract, Load, Transform) tools and frameworks such as DBT (Data Build Tool), Apache Airflow, or similar.</li>\n<li>Automates data ingestion processes from various sources including databases, APIs, and third party services.</li>\n<li>Data Storage and Management - Designs and implements data warehousing solutions using platforms like Snowflake, Redshift, or BigQuery.</li>\n<li>Optimizes storage solutions for performance, cost efficiency, and scalability.</li>\n<li>Data Modeling - Develops and maintains logical and physical data models to support business analytics.</li>\n<li>Creates and manages dimensional models, star/snowflake schemas, and other data structures.</li>\n<li>Data Transformation - Transforms raw data into clean, organized, and analytics-ready datasets using SQL, Python, or other relevant languages.</li>\n<li>Data Quality Assurance - Conducts data validation and consistency checks to ensure the accuracy and reliability of data.</li>\n<li>Technology Stack - Utilizes modern data tools and technologies such as SQL, Python, dbt, Airflow, and cloud platforms like AWS, Azure, or GCP.</li>\n<li>Continuous Learning – Stays updated with the latest trends, best practices, and advancements in data engineering and analytics.</li>\n<li>Participates in professional development opportunities to enhance technical and analytical skills.</li>\n<li>Provides code as requirements for hardening and operationalization by technology with significant coaching, guidance, and feedback.</li>\n<li>Performs other duties as assigned.</li>\n</ul>\n<p>Requirements</p>\n<ul>\n<li>1+ year of experience working on a Data Environment</li>\n<li>Good Analytics mindset</li>\n<li>Knowledge in SQL</li>\n<li>Strong verbal communication and listening skills.</li>\n<li>Demonstrated written communication skills.</li>\n<li>Demonstrated analytical skills.</li>\n<li>Demonstrated problem solving skills.</li>\n<li>Effective interpersonal skills.</li>\n<li>Seeks to acquire knowledge in area of specialty.</li>\n<li>Possesses strong technical aptitude. 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Our dynamic organization allows you to work across functional business pillars, contributing your ideas, experiences, diverse thinking, and a strong mindset.</p>\n<p><strong>About Your Role</strong></p>\n<p>As a Principal Data Architecture Consultant, you will act as a senior technical leader in complex data and analytics engagements. 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In this role you’ll be able to see your own ideas transform into breakthrough results in the areas of Data &amp; Analytics Strategy, Data Management &amp; Governance, Data Platforms &amp; Engineering, Analytics &amp; Data Science.</p>\n<p><strong>About Infosys Consulting</strong></p>\n<p>Be part of a globally renowned management consulting firm on the front-line of industry disruption and at the cutting edge of technology. We work with market leading brands across sectors. Our culture is inclusive and entrepreneurial. Being a mid-size consultancy within the scale of Infosys gives us the global reach to partner with our clients throughout their transformation journey.</p>\n<p>Our core values, IC-LIFE, form a common code that helps us move forward. IC-LIFE stands for Inclusion, Equity and Diversity, Client, Leadership, Integrity, Fairness, and Excellence. To learn more about Infosys Consulting and our values, please visit our careers page.</p>\n<p>Within Europe, we are recognized as one of the UK’s top firms by the Financial Times and Forbes due to our client innovations, our cultural diversity and dedicated training and career paths. Infosys is on the Germany’s top employers list for 2023. Management Consulting Magazine named us on their list of Best Firms to Work for. Furthermore, Infosys has been recognized by the Top Employers Institute, a global certification company, for its exceptional standards in employee conditions across Europe for five years in a row.</p>\n<p>We offer industry-leading compensation and benefits, along with top training and development opportunities so that you can grow your career and achieve your personal ambitions. Curious to learn more? We’d love to hear from you.... Apply today!</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_56dc9a51-e66","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Infosys Consulting - Europe","sameAs":"https://jobs.workable.com","logo":"https://logos.yubhub.co/view.com.png"},"x-apply-url":"https://jobs.workable.com/view/hpBWjvvy8D6B1f818cHxZR/remote-principal-consultant---data-architecture-in-poland-at-infosys-consulting---europe","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["enterprise data architecture","system data integration","data engineering","analytics","modern data architectures","Data Mesh/ Data Fabric/ Data lake / data warehouse architectures","Modern Data Architecture design principles","Batch and streaming data integration patterns","Data Platform, DevOps, deployment and security architectures","Analytics and AI enablement architectures","cloud data platforms","Azure","AWS","GCP","Databricks","Snowflake","BigQuery","Azure Synapse / Microsoft Fabric","SQL","relational databases","Postgres","SQL Server","Oracle","NoSQL databases","Cosmos DB","MongoDB","InfluxDB","API-based and event-driven architectures","data migration programmes","data pipelines","orchestration","automation","CI/CD concepts","production-grade deployments","distributed systems","Docker","Kubernetes","data management and governance principles","data quality","metadata","lineage","master data management","data management software and tools","security","access control","compliance considerations","Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field or equivalent practical experience"],"x-skills-preferred":["advanced analytics","AI / ML or GenAI","streaming platforms","Kafka","Azure Event Hubs","data governance or metadata tools","cloud","data","architecture certifications"],"datePosted":"2026-03-09T16:51:22.857Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Poland"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"enterprise data architecture, system data integration, data engineering, analytics, modern data architectures, Data Mesh/ Data Fabric/ Data lake / data warehouse architectures, Modern Data Architecture design principles, Batch and streaming data integration patterns, Data Platform, DevOps, deployment and security architectures, Analytics and AI enablement architectures, cloud data platforms, Azure, AWS, GCP, Databricks, Snowflake, BigQuery, Azure Synapse / Microsoft Fabric, SQL, relational databases, Postgres, SQL Server, Oracle, NoSQL databases, Cosmos DB, MongoDB, InfluxDB, API-based and event-driven architectures, data migration programmes, data pipelines, orchestration, automation, CI/CD concepts, production-grade deployments, distributed systems, Docker, Kubernetes, data management and governance principles, data quality, metadata, lineage, master data management, data management software and tools, security, access control, compliance considerations, Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field or equivalent practical experience, advanced analytics, AI / ML or GenAI, streaming platforms, Kafka, Azure Event Hubs, data governance or metadata tools, cloud, data, architecture certifications"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_c8eee058-0f9"},"title":"Data Analyst: Personalization","description":"<p><strong>Role Overview</strong></p>\n<p>The Personalization team, within the Machine Learning Chapter and Engineering Department, plays a central role in implementing algorithms that utilize personalization signals to optimize for business KPIs like revenue &amp; conversions.</p>\n<p>You will work closely with engineers and product managers to define success, uncover insights, and influence roadmap decisions through data. Your work will help shape innovative user experiences that drive business KPIs, interpret user behavior, and drive product and algorithm improvements.</p>\n<p><strong>Challenges you will tackle</strong></p>\n<ul>\n<li>Understand Shopper Behavior: Investigate how product changes affect user behavior and conversion metrics. Use SQL, Python, and Spark to uncover usage patterns, anomalies, and opportunities for optimization.</li>\n<li>Design &amp; Validate Metrics: Define new metrics to measure personalization, and model performance. Ensure metrics align with user experience and business goals through rigorous validation.</li>\n<li>Build Analytics Infrastructure: Create scalable dashboards and reporting tools for product, engineering, and leadership teams. Develop debugging tools to explain ranking decisions and identify performance issues.</li>\n<li>Drive Data-Informed Decisions: Partner cross-functionally to design experiments, validate hypotheses, and communicate insights that directly influence product roadmap and ML strategy.</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>3+ years analyzing complex experiments and extracting actionable insights from large, noisy datasets. Experience with statistical testing and practical experiment design.</li>\n<li>Write optimized SQL queries for terabyte-scale data extraction and transformation. Proficiency with distributed systems like Spark for large-scale data processing.</li>\n<li>Strong skills in exploratory analysis and building internal tools. Experience with data science libraries and automation.</li>\n<li>Understanding of ML pipelines, training data quality, and ranking/recommendation metrics. 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The ideal candidate will be based in Pune to support our hybrid work setup requirements. The role will involve ensuring continuity of service for our mission-critical AI features and supporting the wider team in building and managing backlogs at portfolio level.</p>\n<p>Responsibilities</p>\n<ul>\n<li>Hypercare and BAU: Orchestrate technical monitoring and reporting, analyse qualitative output, and handover to GSD/HS Ops.</li>\n<li>Ensure all operational processes are followed, and performance and quality reporting for multiple stakeholders.</li>\n<li>Retrain/re-tune/prompt engines as required, consolidate client feedback and feature requirements for review &amp; triage by Helpshift Product teams.</li>\n<li>Onboard new clients, ensure that all teams understand Customer Success’s rollout plans + requirements and that the plan is articulated and followed.</li>\n<li>Track detailed client rollout plan, based on CSM client prioritization and technical deployment requirements.</li>\n<li>Ensure clear process is in place for both new client onboarding, and clients’ data is of sufficient quality and quantity to provide tuned engines where required.</li>\n<li>Own go-live process and workflows, manage the Helpshift MT specialist, and work across Player Engagement and wider Keywords teams to manage change requirements, technology escalations and incident response, management and mitigation.</li>\n<li>Primary contact for service provision of all AI features, proactive spend management, and providing data on AI feature consumption, performance and output to the wider Player Engagement team.</li>\n</ul>\n<p>Skillset and Requirements</p>\n<ul>\n<li>Experience in project managing SAAS live phases, planning and tracking multiple workstreams and dependencies in parallel.</li>\n<li>Fundamental understanding of AI, in particular prompt engineering and data quality requirements to ensure highly-performing engines.</li>\n<li>Experience in agile delivery (e.g. Advanced Scrum Master), high data literacy, including the ability to understand metrics from multiple sources and explain these to a wider audience.</li>\n<li>People management skills, excellent communication skills, and a collaborative mindset.</li>\n</ul>\n<p>Key Stakeholders + Partners</p>\n<ul>\n<li>Helpshift AI/Language AI product &amp; engineering teams, HS Tech Support, HS Customer Success, PE Agent Operations Management, Kantan technology team, IT Infra team, and external implementation + support partners.</li>\n</ul>\n<p>Benefits</p>\n<ul>\n<li>Hybrid setup, worker&#39;s insurance, paid time off, and other employee benefits to be discussed by our Talent Acquisition team in India.</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_16ba265d-6f5","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Helpshift","sameAs":"https://apply.workable.com","logo":"https://logos.yubhub.co/j.com.png"},"x-apply-url":"https://apply.workable.com/j/E72639C54F","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["project management","SAAS live phases","agile delivery","prompt engineering","data quality requirements","people management","communication"],"x-skills-preferred":["data literacy","metrics analysis","collaborative mindset"],"datePosted":"2026-03-09T10:56:01.010Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Pune"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"project management, SAAS live phases, agile delivery, prompt engineering, data quality requirements, people management, communication, data literacy, metrics analysis, collaborative mindset"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_7e0b41a8-30e"},"title":"Senior Technical Project Manager","description":"<p>We are seeking a Senior Technical Project Manager to support the operational success of our AI features. 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The role will involve ensuring continuity of service for our mission-critical AI features and supporting the wider team in building and managing backlogs at portfolio level.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Hypercare and BAU: Orchestrate technical monitoring and reporting, analyse qualitative output, and handover to GSD/HS Ops.</li>\n<li>Performance and quality reporting for multiple stakeholders, including success, product/engineering, and leadership.</li>\n<li>Retraining/retuning/prompting engines as required, and consolidating client feedback and feature requirements for review and triage by Helpshift Product teams.</li>\n<li>Onboarding new clients, ensuring that all teams understand Customer Success&#39;s rollout plans and requirements, and tracking detailed client rollout plans based on CSM client prioritization and technical deployment requirements.</li>\n<li>Ensuring clear process is in place for both new client onboarding, and ensuring clients&#39; data is of sufficient quality and quantity to provide tuned engines where required.</li>\n<li>Owning go-live process and workflows, managing the Helpshift MT specialist, and working across Player Engagement and wider Keywords teams to manage change requirements, technology escalations, and incident response, management, and mitigation.</li>\n<li>Primary contact for service provision of all AI features, proactive spend management, and providing data on AI feature consumption, performance, and output to the wider Player Engagement team.</li>\n</ul>\n<p><strong>Skillset and Requirements</strong></p>\n<ul>\n<li>Experience in project managing SAAS live phases, planning and tracking multiple workstreams and dependencies in parallel.</li>\n<li>Fundamental understanding of AI, in particular prompt engineering and data quality requirements to ensure highly-performing engines.</li>\n<li>Experience in agile delivery (e.g. Advanced Scrum Master), high data literacy, including the ability to understand metrics from multiple sources and explain these to a wider audience.</li>\n<li>People management skills, excellent communication skills, and a collaborative mindset.</li>\n</ul>\n<p><strong>Benefits</strong></p>\n<ul>\n<li>Hybrid setup</li>\n<li>Worker&#39;s insurance</li>\n<li>Paid Time Offs</li>\n<li>Other employee benefits to be discussed by our Talent Acquisition team in India.</li>\n</ul>\n<p>Helpshift embraces diversity. 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You will be responsible for implementing HR policies and processes, Employee on-boarding &amp; off-boarding, managing statutory compliances, preparation of MIS, maintenance and completion of necessary documentation.</p>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>A bachelor’s degree from a reputed University (Full Time Only)</li>\n<li>Must have 3-5 years of experience in HR Operation &amp; Employee Engagement in an organisation of similar capacity</li>\n<li>Must have hands-on strong MS Excel skills</li>\n<li>Should have excellent communications skills, be a team player, be adaptable and flexible</li>\n<li>Should have a proactive approach to work</li>\n<li>Excellent communication skills/ability to interact with employees on all levels</li>\n<li>Attention to details/data quality</li>\n<li>Ability to understand and analyse processes</li>\n<li>Ability to identify and resolve problems (troubleshooting)</li>\n<li>Ability to juggle competing priorities and work well under pressure</li>\n<li>Ability to work independently</li>\n<li>Candidate should be Open to work in Flexible Shifts</li>\n</ul>\n<p><strong>Roles &amp; Responsibilities</strong></p>\n<ul>\n<li>Handle Onboarding activities, exit formalities and complete all the Full &amp; Final statements</li>\n<li>Manage Statutory Compliance (EPF, ESIC, Gratuity) and coordinate with Vendor for the same</li>\n<li>Provide current and prospective employees with information about policies, job responsibilities, work schedule, compensation, and employee benefits</li>\n<li>Maintain all personnel policies and procedures and provide guidance and interpretation to staff</li>\n<li>Serve as contact person for employees and vendors regarding HR operations</li>\n<li>Manage employees’ queries / concerns / grievances by coordinating with the concerned person / department to give resolutions</li>\n<li>Assist in day-to-day operations of the HR functions and duties</li>\n<li>Maintain and update Employee records and other relevant details in SWAT</li>\n<li>Managing the Monthly, Weekly &amp; Daily Report to be shared with the key stakeholders</li>\n<li>Drive engagement initiatives which include organising small- and large-scale events for employees</li>\n<li>Handling Events &amp; managing monthly floor activities</li>\n<li>Coordinating and facilitating focus groups, surveys, skip meets, one-on-one Connects</li>\n<li>Responsible for all employee communication such as leadership connects, helpdesk &amp; employee connects to maintain high morale, transparency and teamwork resulting in employee satisfaction</li>\n<li>Coordinating and facilitating focus groups, surveys, skip meets, one-on-one interviews, and other methodologies</li>\n<li>Any other HR support which is required at Gurgaon &amp; Bangalore Studio</li>\n</ul>\n<p><strong>Benefits</strong></p>\n<ul>\n<li>We offer competitive salaries and annual performance-based bonuses</li>\n<li>We offer generous paid time off, Including 24 Annual leaves and additional paid time off at the year-end (from 25th December to 1st January)</li>\n<li>Benefit from our free Employee Assistance Program (EAP) for mental and emotional wellbeing</li>\n<li>Coverage under Group Mediclaim Policy, Term life Insurance Cover, Accidental insurance cover</li>\n<li>Transport Facility</li>\n<li>Subsidized Meal Facility</li>\n<li>And a lot more!</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_7c976ab6-76b","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Keywords Studios","sameAs":"https://apply.workable.com","logo":"https://logos.yubhub.co/j.com.png"},"x-apply-url":"https://apply.workable.com/j/FD2C82B50C","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["MS Excel","HR Operation & Employee Engagement","Statutory Compliance","Employee Onboarding & Offboarding","MIS","Data Quality","Process Analysis","Problem Solving","Communication","Teamwork","Adaptability","Flexibility"],"x-skills-preferred":[],"datePosted":"2026-03-09T10:55:39.698Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Gurugram"}},"employmentType":"FULL_TIME","occupationalCategory":"HR","industry":"Technology","skills":"MS Excel, HR Operation & Employee Engagement, Statutory Compliance, Employee Onboarding & Offboarding, MIS, Data Quality, Process Analysis, Problem Solving, Communication, Teamwork, Adaptability, Flexibility"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_1e66d068-858"},"title":"Strategic Finance, Hardware R&D Finance Manager","description":"<p><strong>Compensation</strong></p>\n<p>The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.</p>\n<ul>\n<li>Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts</li>\n</ul>\n<ul>\n<li>Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)</li>\n</ul>\n<ul>\n<li>401(k) retirement plan with employer match</li>\n</ul>\n<ul>\n<li>Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)</li>\n</ul>\n<ul>\n<li>Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees</li>\n</ul>\n<ul>\n<li>13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)</li>\n</ul>\n<ul>\n<li>Mental health and wellness support</li>\n</ul>\n<ul>\n<li>Employer-paid basic life and disability coverage</li>\n</ul>\n<ul>\n<li>Annual learning and development stipend to fuel your professional growth</li>\n</ul>\n<ul>\n<li>Daily meals in our offices, and meal delivery credits as eligible</li>\n</ul>\n<ul>\n<li>Relocation support for eligible employees</li>\n</ul>\n<ul>\n<li>Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.</li>\n</ul>\n<p><strong>About the Team</strong></p>\n<p>The Strategic Finance team provides financial insights and guidance to support the organization&#39;s long-term goals and strategies. We partner across the business to allocate and deploy our resources for the highest impact outcomes.</p>\n<p><strong>About the Role</strong></p>\n<p>We are hiring a Hardware Finance Manager, R&amp;D to own the financial strategy, investment modeling, and long-range planning for our hardware R&amp;D programs. This role sits at the intersection of Hardware Engineering, Product, and Finance, and is responsible for ensuring that R&amp;D roadmap decisions—spanning technical scope, sequencing, resourcing, and timelines—are grounded in rigorous financial analysis and disciplined capital allocation.</p>\n<p>This role will serve as the embedded finance partner to Hardware Engineering and Product teams, with end-to-end ownership of R&amp;D investment models, program-level financials, and long-range planning across the hardware development lifecycle. You will help leadership evaluate tradeoffs across technical ambition, speed, risk, and capital efficiency as hardware programs scale in scope and complexity.</p>\n<p>We have a strong preference for candidates who can be based in our San Francisco HQ. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.</p>\n<p><strong>In this role, you will oversee multiple areas of responsibility:</strong></p>\n<ul>\n<li>Own end-to-end hardware R&amp;D financial models across the development lifecycle, from early concept and prototyping through development, validation, and transition to production.</li>\n</ul>\n<ul>\n<li>Serve as a key finance partner to Hardware Engineering and Product leadership, supporting decisions on roadmap sequencing, technical scope, resourcing levels, and investment pacing through clear financial frameworks and scenario analysis.</li>\n</ul>\n<ul>\n<li>Translate technical roadmaps into financially grounded R&amp;D execution plans, integrating assumptions around headcount ramps, staffing mix, tooling, lab and test infrastructure, and development timelines.</li>\n</ul>\n<ul>\n<li>Drive capital discipline and investment efficiency, proactively identifying scope changes, resourcing inefficiencies, and investment risks before spend becomes structurally locked in.</li>\n</ul>\n<ul>\n<li>Own R&amp;D forecasting, budgeting, and variance analysis, providing clear visibility into spend vs. plan, key drivers of change, and implications for broader hardware investment priorities.</li>\n</ul>\n<ul>\n<li>Frame program-level tradeoffs and decision scenarios for leadership, clearly quantifying implications across cost, schedule, technical risk, and long-term platform value.</li>\n</ul>\n<ul>\n<li>Build and maintain standardized R&amp;D investment dashboards and program views to provide consistent, executive-ready visibility into burn rates, milestone progress, and capital allocation.</li>\n</ul>\n<ul>\n<li>Support portfolio-level decision-making by comparing investment profiles across hardware programs and generations, informing prioritization, sequencing, and long-term R&amp;D strategy.</li>\n</ul>\n<ul>\n<li>Contribute to the development and scaling of the hardware R&amp;D finance foundation, improving modeling rigor, governance, and decision support as the hardware portfolio grows.</li>\n</ul>\n<p><strong>You might thrive in this role if you have:</strong></p>\n<ul>\n<li>8+ years of progressive finance experience with significant exposure to hardware, manufacturing, or complex supply chain businesses.</li>\n</ul>\n<ul>\n<li>A passion for helping build world-class finance teams and driving business and financial outcomes, as measured on margin improvement, working capital efficiency, forecast accuracy, and execution of cost-reduction initiatives.</li>\n</ul>\n<ul>\n<li>A strong ability to critically evaluate opportunities and risks.</li>\n</ul>\n<ul>\n<li>Expert modeling skills with best-in-class attention to detail and unwavering commitment to accuracy.</li>\n</ul>\n<ul>\n<li>Exemplary ability to distill complex financial information into actionable insights.</li>\n</ul>\n<ul>\n<li>Excellent communication skills and “story telling” ability when presenting data insights.</li>\n</ul>\n<ul>\n<li>Strong enthusiasm for building the human-computer interface for the AI era.</li>\n</ul>\n<p><strong>About OpenAI</strong></p>\n<p>OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.</p>\n<p>We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.</p>\n<p>For additional information, please see [OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement](https://cdn.openai.com/policies/eeo-policy-statement.pdf).</p>\n<p>Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_1e66d068-858","directApply":true,"hiringOrganization":{"@type":"Organization","name":"OpenAI","sameAs":"https://jobs.ashbyhq.com","logo":"https://logos.yubhub.co/openai.com.png"},"x-apply-url":"https://jobs.ashbyhq.com/openai/9548776c-d623-4a63-af2c-c3a4a1d9685f","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"Full time","x-salary-range":"$234K – $325K","x-skills-required":["financial modeling","investment analysis","capital allocation","financial planning","forecasting","budgeting","variance analysis","financial reporting","financial analysis","financial modeling","data analysis","data visualization","financial software","Microsoft Excel","financial planning and analysis","financial modeling and analysis","financial reporting and analysis"],"x-skills-preferred":["data science","machine learning","artificial intelligence","cloud computing","data engineering","data architecture","data governance","data quality","data security","data analytics","data visualization","financial software","Microsoft Excel","financial planning and analysis","financial modeling and analysis","financial reporting and analysis"],"datePosted":"2026-03-08T22:14:36.235Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco"}},"employmentType":"FULL_TIME","occupationalCategory":"Finance","industry":"Technology","skills":"financial modeling, investment analysis, capital allocation, financial planning, forecasting, budgeting, variance analysis, financial reporting, financial analysis, financial modeling, data analysis, data visualization, financial software, Microsoft Excel, financial planning and analysis, financial modeling and analysis, financial reporting and analysis, data science, machine learning, artificial intelligence, cloud computing, data engineering, data architecture, data governance, data quality, data security, data analytics, data visualization, financial software, Microsoft Excel, financial planning and analysis, financial modeling and analysis, financial reporting and analysis","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":234000,"maxValue":325000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_cf63279d-d28"},"title":"Research Engineer, Reward Models Platform","description":"<p><strong>About the role</strong></p>\n<p>You will deeply understand the research workflows of our Finetuning teams and automate the high-friction parts – turning days of manual experimentation into hours. 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However, some roles may require more time in our offices.</li>\n<li>Visa sponsorship: We do sponsor visas! However, we aren&#39;t able to successfully sponsor visas for every role and every candidate. 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You should expect significantly more scope and autonomy than in other research labs.</p>\n<p><strong><strong>What you’ll do</strong></strong></p>\n<ul>\n<li>Improve our understanding of RL, what it takes to handle longer horizon tasks, and train with less compute</li>\n</ul>\n<ul>\n<li>Train graders to improve performance on coding tasks with non-verbal reward</li>\n</ul>\n<ul>\n<li>Improve the quality and difficulty of datapoints we use for training our models</li>\n</ul>\n<ul>\n<li>Realtime RL for coding agents</li>\n</ul>\n<p><strong>You may be a fit if</strong></p>\n<ul>\n<li>You have a deep background in RL and strong machine learning fundamentals</li>\n</ul>\n<ul>\n<li>You’re an excellent programmer and software engineer</li>\n</ul>\n<ul>\n<li>You can handle ambiguous research tasks with little guidance</li>\n</ul>\n<ul>\n<li>You care a lot about data quality, and can dive into the data when appropriate</li>\n</ul>\n<ul>\n<li>You are truth-seeking, aiming to learn more about the science than proving your ideas are correct.</li>\n</ul>\n<p>Name Email ↥ Upload file LinkedIn URL GitHub Profile</p>\n<p>Please write a short note on a project you&#39;re proud of:</p>\n<p>Will you now or in the future require visa sponsorship to work in the country where this position is located?</p>\n<p>Has someone at Cursor referred you for this role? 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We believe achieving this goal requires real-world deployment and continuous iteration based on how our products are used—and misused—in practice.</p>\n<p>The Intelligence and Investigations team supports this mission by detecting, investigating, and disrupting the misuse of our products, particularly critical or novel harms. Our work enables partner teams to develop data-backed model policies and build scalable safety mitigations. By precisely understanding abuse, we help ensure OpenAI’s products can be used safely to build meaningful, rewarding applications.</p>\n<p><strong>About the Role</strong></p>\n<p>As a Technical Abuse Investigator on the Intelligence and Investigations team, you will be responsible for detecting, investigating, and disrupting malicious use of OpenAI’s platform. You will further scale parts of the investigative process to help our team disrupt harm at scale. 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Success in this role is measured not only by investigations completed, but by how effectively your work enables you and your team members to operate more efficiently and consistently.</p>\n<p>You will work closely with engineering, legal, investigations, security, and policy partners to respond to time-sensitive escalations, investigate activity that falls outside existing safeguards, and translate investigative insights into scalable detection and enforcement strategies.</p>\n<p>This role includes participation in an on-call rotation to handle urgent escalations outside of normal work hours. Some investigations may involve sensitive content, including sexual, violent, or otherwise disturbing material. 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If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.</p>\n<p><strong>Benefits</strong></p>\n<ul>\n<li>Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts</li>\n</ul>\n<ul>\n<li>Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)</li>\n</ul>\n<ul>\n<li>401(k) retirement plan with employer match</li>\n</ul>\n<ul>\n<li>Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)</li>\n</ul>\n<ul>\n<li>Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees</li>\n</ul>\n<ul>\n<li>13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)</li>\n</ul>\n<ul>\n<li>Mental health and wellness support</li>\n</ul>\n<ul>\n<li>Employer-paid basic life and disability coverage</li>\n</ul>\n<ul>\n<li>Annual learning and development stipend to fuel your professional growth</li>\n</ul>\n<ul>\n<li>Daily meals in our offices, and meal delivery credits as eligible</li>\n</ul>\n<ul>\n<li>Relocation support for eligible employees</li>\n</ul>\n<ul>\n<li>Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.</li>\n</ul>\n<p><strong>About the Team</strong></p>\n<p>The Procurement Operations team runs the engine that turns intent into spend at OpenAI.</p>\n<p>We sit between the people who need things (research, product, engineering, operations) and the systems that record, pay for, and report on them. Our job is to make it easy for teams to buy what they need while ensuring every dollar lands in the right place — on the right supplier, on the right PO, with the right data — so Finance, Legal, and Security can trust the outcome.</p>\n<p>As OpenAI scales, this team is also where AI, automation, and self-service come to life. We design workflows that let more volume move touchlessly, while embedding controls and audit trails directly into the systems — so speed and rigor grow together. This team works side-by-side with Accounts Payable, Strategic Sourcing, Legal, Security, and Finance Systems to ensure the company can move fast without losing financial integrity or control.</p>\n<p><strong>About the Role</strong></p>\n<p>The Procurement Operations Leader owns the operational backbone of how OpenAI turns requests into committed, controlled, and payable spend. This role sits at the center of our purchasing lifecycle — ensuring that every request, PO, and supplier record is complete, policy-aligned, and ready to scale through automation, BPO support, and AI-assisted workflows already in production.</p>\n<p>You’ll be responsible for the health of the intake-to-PO engine: how work enters the system, how it gets validated, how it routes, and how it lands in our financial systems. That includes strengthening the controls that keep us safe, the data that makes us fast, and the workflows that allow AI and self-service to do more of the work.</p>\n<p>This is a player-coach role. 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We look forward to hearing from you!</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_582f2e18-5a0","directApply":true,"hiringOrganization":{"@type":"Organization","name":"OpenAI","sameAs":"https://jobs.ashbyhq.com","logo":"https://logos.yubhub.co/openai.com.png"},"x-apply-url":"https://jobs.ashbyhq.com/openai/54aa42d3-9823-4b88-8807-d7b87a08858c","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$234K – $295K","x-skills-required":["Procurement","P2P","Intake-driven operations","AI","Automation","Self-service","Workflow design","Controls","Audit trails","Data quality","Metadata","Invoice matching","Reporting","Approval rules","Exception handling","Segregation of duties","Compliance","Risk management","Bottleneck identification","Opportunity analysis","Technical leadership","Player-coach"],"x-skills-preferred":["Cloud-based systems","Data analytics","Business process improvement","Change management","Communication","Collaboration","Leadership","Coaching","Mentoring"],"datePosted":"2026-03-06T18:32:55.234Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco"}},"employmentType":"FULL_TIME","occupationalCategory":"Finance","industry":"Technology","skills":"Procurement, P2P, Intake-driven operations, AI, Automation, Self-service, Workflow design, Controls, Audit trails, Data quality, Metadata, Invoice matching, Reporting, Approval rules, Exception handling, Segregation of duties, Compliance, Risk management, Bottleneck identification, Opportunity analysis, Technical leadership, Player-coach, Cloud-based systems, Data analytics, Business process improvement, Change management, Communication, Collaboration, Leadership, Coaching, Mentoring","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":234000,"maxValue":295000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_438dbd4f-1a6"},"title":"Senior Analytics Engineer","description":"<p><strong>Senior Analytics Engineer</strong></p>\n<p><strong>About the role</strong></p>\n<p>As an Analytics Engineer, you&#39;ll be a key early member of our data function, responsible for building and evolving the analytics foundations that power product decision-making across the company. 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You can work fully remote if you&#39;re not local to an office or hybrid from London, Amsterdam, Munich, Zurich or Copenhagen offices.</li>\n</ul>\n<ul>\n<li>A competitive salary + stock options</li>\n</ul>\n<ul>\n<li>25 days of annual leave + public holidays (plus the option to take 5 days unpaid leave and carry 5 days over)</li>\n</ul>\n<ul>\n<li>You will join an established company culture with optional regular socials and company retreats</li>\n</ul>\n<ul>\n<li>Paid parental leave entitling primary caregivers to 16 weeks of full pay, and secondary 5 weeks of full pay</li>\n</ul>\n<ul>\n<li>You can participate in a generous recruitment referral scheme if you help us to hire</li>\n</ul>\n<ul>\n<li>The equipment you need to be successful in your role</li>\n</ul>\n<p>_You can see more about who we are and how we work here:_ _https://www.synthesia.io/careers_</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_438dbd4f-1a6","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Synthesia","sameAs":"https://www.synthesia.io/","logo":"https://logos.yubhub.co/synthesia.io.png"},"x-apply-url":"https://jobs.ashbyhq.com/synthesia/c11f83bc-46db-4c7b-a2ea-38f2ace507ba","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"A competitive salary + stock options","x-skills-required":["dbt","Snowflake","Amplitude","Omni","SQL","data engineering","product-led environments"],"x-skills-preferred":["modular data models","scalable data models","well-tested data models","data quality","data clarity","data trust"],"datePosted":"2026-03-06T18:31:20.241Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Europe"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"dbt, Snowflake, Amplitude, Omni, SQL, data engineering, product-led environments, modular data models, scalable data models, well-tested data models, data quality, data clarity, data trust"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_89337d58-8e6"},"title":"Applied Scientist II","description":"<p><strong>Summary</strong></p>\n<p>Microsoft AI are looking for a talented Applied Scientist II at their Bengaluru office. 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