Вакансии

Обязанности: • Разработка и внедрение ML/NLP решений для реальных продуктовых задач. • Работа с LLM: fine-tuning, prompt engineering, повышение качества ответов. Требования: • Опыт работы Data Scientist от 2 лет. • Уверенный Python. • Практический опыт с ML/NLP стеком (PyTorch, TensorFlow, Hugging Face).

Location: London, UK About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As an Applied AI Engineer at Anthropic, you will be a trusted technical advisor helping tech-forward companies build on the Claude Developer Platform as they grow and scale. You'll lead deep technical engagements, partnering directly with engineering teams to help them develop their products on top of Claude - advising on implementation, agent design, and working alongside them to build at the frontier of AI. Working closely with Applied AI Architects, Account Executives, and Anthropic's Product and Engineering teams, you'll guide customers through deep technical engagements. You'll leverage your AI engineering expertise to develop custom evaluation frameworks, design scalable architectures, and create the technical resources that enable tech-forward businesses to succeed with Claude. Responsibilities Serve as a deep technical advisor to high-growth, tech-forward companies, working alongside them to build innovative use cases that push the boundaries of AI Work hands-on with customer engineering teams: pair programming, architecture reviews, and code contributions that accelerate their development Develop prototypes and technical documentation—including evaluation suites, AI engineering techniques, and architecture diagrams—that enable customers to build and scale with Claude Collaborate closely with Applied AI Architects to maintain context and continuity across customer engagements Identify patterns across engagements and contribute insights back to Product, Engineering, and the broader Applied AI team Create technical content for developer audiences including documentation, tutorials, and sample code Foster community engagement through hackathons, webinars, technical office hours, and developer-focused events Travel to customer sites for workshops, implementation support, and relationship building You may be a good fit if you have 4+ years of experience as a Software Engineer, Forward Deployed Engineer, or technical founder Experience in a customer-facing or pre-sales technical role - partnering with customers to scope, design, and deliver solutions Production experience building LLM-powered applications, including prompting, context engineering, agent architectures, evaluation frameworks, and deployment at scale Strong programming skills with proficiency in Python and experience building production applications Experience working with high-growth, tech-forward companies Ability to context-switch across industries (healthcare, fintech, etc.) and use cases Builder credibility that earns trust with technical founders and engineering leaders - you've shipped products and can speak from experience Strong technical communication skills with the ability to translate complex AI concepts into architectural decisions and actionable implementation plans Experience facilitating technical workshops, hackathons, or developer-focused events Passion for making powerful technology safe and beneficial The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: £225,000 — £255,000 GBP Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Задачи: — Решать технические проблемы клиентов от начала до конца (Helpdesk + Slack) в рамках SLA — Проводить анализ корневых причин с использованием Grafana, Datadog (логи, метрики, трассировки) — Создавать дашборды мониторинга и проактивные оповещения — Писать скрипты на Python для автоматизации и массовых операций — Активно использовать AI-инструменты (Claude, Cursor, ChatGPT) для ускорения устранения проблем Требования: — Опыт ежедневной работы с LLM и prompt engineering — Практические навыки работы с Grafana и Datadog (создание дашбордов и оповещений) — Скриптинг на Python и хорошее понимание распределённых систем — Опыт 2+ года в TechOps/технической поддержке (приветствуется опыт в FinTech/Forex/Crypto) — Отличное владение английским языком (C1+) Условия: — Удалённая работа, предпочтительно в часовом поясе GMT+5 - GMT+8 Если вы технически любознательный решатель проблем, который хочет работать с современными AI-инструментами в реальном FinTech продукте, отправьте резюме.

About ActAI There are over 5 billion users using basic applications today such email, notes, tasks, calendar and they're not AI-native. Our mission is to build proactive applications for anyone in the world, who are not used to complex prompting. We aim to bring intelligence to conversations, errands, organising and workflows, with minimal to no prompting. Our application focuses on achieving high reliability for long-running workflows, persistent context, and real-world task completion. We believe products will greatly reduce hallucinations. Our objective is to organise anyone's life. Role As a Web Frontend Engineer, you will build the core web experiences, including Chat, Notes, Calendar, Docs and Sheets. You will own complex, highly interactive product surfaces from architecture through implementation, working closely with product, design, backend and AI engineers to make AI a native part of how users communicate, write, organise and work. What You'll Own Build major web experiences across Chat, Notes, Calendar, Docs, and Sheets. Develop complex interactions including real-time messaging, collaborative editing, rich-text editing, scheduling, tables, and spreadsheets. Build reusable frontend architecture and components that work consistently across ActAI applications. Integrate streaming AI responses, proactive actions, and model-driven experiences directly into product workflows. Own frontend performance, responsiveness, reliability and accessibility across browsers and devices. Work closely with product and design to take ideas from prototype to production quickly. What We're Looking For Strong experience building complex, production web applications using React, TypeScript and modern frontend technologies. Deep understanding of frontend architecture, state management, browser APIs, and performance. Experience building highly interactive products such as chat, collaboration, productivity, document editing, calendars, or workspaces. Experience with real-time systems, WebSockets, streaming APIs, or collaborative interfaces. Strong product and UI judgment with attention to interaction details. Able to independently own features from technical design through production. Outcomes Users can communicate, write, organise and collaborate seamlessly across Chat, Notes, Calendar, Docs and Sheets. Complex interactions such as group messaging, editing, scheduling and collaboration feel fast and reliable. AI capabilities are integrated naturally into product workflows rather than added as separate chatbot experiences. Frontend architecture remains fast, maintainable and reusable as ActAI expands into new applications and workflows. Tech Stack TypeScript React.js / Next.js HTML / CSS WebSockets / streaming APIs Node.js REST / GraphQL APIs How We Work The best products today in the world were built by small, world-class teams. We are a high talent density and hands-on team. We make decisions collectively and move at rapid speed, striking a balance between shipping high-quality work and learning. Joining our team requires the ability to bring structure, exercise judgment and execute independently. Our goal is to put in the hands of our users a truly magical product. Interview Process If there appears to be a fit, we'll reach out to schedule 3, but no more than 4 interviews. Applications are evaluated by our technical team members. Interviews will be conducted via virtual meetings and/or onsite. We value transparency and efficiency, so expect a prompt decision. If you've demonstrated the exceptional skills and mindset we're looking for, we'll extend an offer to join us and help bring practical AI benefits to billions of users globally.

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Sales Enablement Trainer, Claude Products, you'll teach Anthropic's global sales team how to use our products, both to do their own work better and to position Claude credibly with customers. Anthropic ships quickly, and the surface area of what we build is growing faster than any individual seller can track. The job has two components. The first is enabling our own people to be power users of Claude so the field is the most sophisticated user of the product we sell. The second is enabling them to position it: to run a credible technical conversation with a customer, anticipate the hard questions, and hold their own with a technical buyer. In this role, you’ll help define what an AI-native sales team looks like. The best person in this role already uses Claude to help them excel in a sales or sales enablement role. You'll be embedded enough with Product and Applied AI to see around the corner and be opinionated enough to say which surfaces to invest enablement resources behind. You'll need enough technical credibility to earn the respect of engineers and enough commercial fluency to earn the respect of sellers. Key responsibilities Own product enablement for the global field organization, spanning new launches, existing capabilities, and the product roadmap ahead Build the programs that make Anthropic sellers genuinely expert users of Claude in their own daily work Create enablement that equips the field to position our products with technical and business buyers, including demo readiness, objection handling, and competitive framing Partner closely with Product, Product Marketing, and Applied AI to get early visibility into what is shipping and to shape how it reaches the field Anticipate which new product surfaces will require enablement investment, and make the case for that investment before launch Build and maintain the product certification path that credentials sellers on our core products Create high-quality enablement content including demo scripts, technical talk tracks, solution guides, and competitive positioning material Establish feedback loops that carry field and customer signal about product gaps back to Product and Product Marketing Minimum qualifications Experience in a sales or sales enablement role Experience building AI automations into sales workflows and tooling Hands-on, regular use of AI assistants and agentic tools (e.g., Claude, Claude Code) in your own real-world workflows Working technical knowledge of how LLM products work (e.g., prompting, context, tool use, APIs), enough to demo them live and field technical questions from engineering buyers Experience writing and presenting technical material for audiences with very different levels of technical depth Preferred qualifications Experience bridging sales and technical audiences in a role such as solutions engineering, sales engineering, technical enablement, product marketing, or technical account management Hands-on experience building with LLM APIs, agentic frameworks, or developer tooling Experience turning complex, fast-moving technical products into enablement content such as demo scripts, technical talk tracks, solution guides, or training curricula Experience owning launch readiness for a technical product across a global field organization Experience partnering with Product or Product Marketing to prepare a field team ahead of launch, not after it Experience building programs from 0 to 1 in fast-paced, ambiguous environments The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $190,000 — $270,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, California Workplace: Hybrid WHO WE ARE Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. ABOUT THE ROLE: Notion’s Tax team is growing, and we’re looking for a Senior Tax Accountant to support our global tax operations. In this role, you’ll run global indirect tax operations and strengthen the systems behind them. As Notion scales across products and jurisdictions, this role exists to make compliance, close, audits, and tax data more accurate, scalable, and audit-ready. You’ll own recurring sales and use tax, VAT/GST, business tax, registrations, notices, reconciliations, and related controls, while building exposure to income tax compliance and reporting. The work is hands-on and cross-functional: you’ll trace differences across billing, tax engines, filings, payments, and the general ledger with Accounting, Revenue, Billing, Product, Engineering, Data, and Customer Experience partners.   This role may be based in either our San Francisco or New York offices. We work from our offices on Mondays, Tuesdays and Thursdays (our Anchor Days) because we do our best thinking and building together in person. We’re looking for someone who’s excited to work alongside the team during those days. WHAT YOU'LL ACHIEVE: - Take ownership of recurring U.S. and global indirect-tax filings, calendars, data packages, notices, registrations, and close support—with accurate, review-ready work. - Establish a reliable reconciliation and exception workflow across billing, tax engines, filings, payments, and the general ledger, escalating issues clearly and early. - Use AI-enabled workflows and data tools to investigate variances, quality-check work papers, and improve documentation while preserving human review and controls. - Make tax operations more scalable and audit-ready by strengthening controls, process documentation, evidence, handoffs, audit support, and SOX walkthrough readiness. - Become a trusted partner to Accounting, Revenue, Billing, Product, Engineering, Data, and Customer Experience—and contribute to income tax compliance and reporting with guidance from experienced teammates. SKILLS YOU'LL NEED TO BRING: - Bachelor’s degree in Accounting, Finance, Economics, a related field, or equivalent practical experience. - At least 3 years of public accounting and/or industry tax experience, with a primary focus on indirect tax compliance and operations. - Hands-on experience with indirect tax compliance or operations, especially U.S. sales and use tax, VAT/GST, business taxes, or other non-income-based taxes; this is the foundation for owning Notion’s recurring global work. - Experience preparing accurate reconciliations, journal entries, filings, payments, and audit-ready work papers, with the ability to connect activity across source systems and the general ledger. - Strong operational judgment: you manage recurring deadlines, investigate exceptions, keep documentation organized, escalate issues promptly, and drive assigned work through completion. - Clear written and verbal communication, with a collaborative approach to working across Finance, Accounting, business teams, and external advisors. - Curiosity and learning agility, including willingness to build income-tax capability and demonstrated AI fluency—using AI to analyze data, investigate variances, improve documentation, perform quality checks, or automate repeatable workflows while validating outputs and protecting sensitive information. Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise, and may vary from the range provided below. For roles based in San Francisco, the estimated base salary range for this role is $135,000 - $155,000 per year. By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy https://notion.notion.site/Notion-Global-Recruiting-Privacy-Policy-fc3eb4e829354a26a2bb6fd5e289b550. https://dev.notion.so/a3ce416456924276a59de91bca740028?pvs=21 #LI-Onsite A NOTE ON AI You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on. EQUAL OPPORTUNITY & ACCOMMODATIONS We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know. Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.

Location: Mapbox US Mapbox is the leading real-time location platform for a new generation of location-aware businesses. Mapbox is the only platform that equips organizations with the full set of tools to power the navigation of people, packages, and vehicles everywhere. More than 4 million registered developers have chosen Mapbox because of the platform’s flexibility, security and privacy compliance. Organizations use Mapbox applications, data, SDKs and APIs to create customized and immersive experiences that delight their customers.  As AI becomes embedded in modern engineering workflows, we value engineers who can thoughtfully integrate AI into design, development, and decision-making. Our interview process will include discussion of how you use AI in your engineering workflow.   WHAT YOU'LL DO This role is scoped by skill rather than by product. The problems below span multiple departments and show up across our Search and Places data work, our Location and Navigation Intelligence work, and the Platform work that makes Mapbox usable by agents. You'll be hired into one specific team or product area, but you'll work across teams where your expertise meets the highest-priority AI problems. You should expect to move between teams and tech stacks as the work demands. At this level you own the technical design and delivery of a multi-component AI system, and you are accountable for the quality of what ships in your area.   IN THIS ROLE, YOU WILL: - Define how the products you own should work, build a measurement framework for it, and build evaluation systems for non-deterministic behavior. Formulate hypotheses around the products we build and seek the signal needed to validate them. Define what a correct result is for a given input and state, determine whether to assemble datasets from real usage or hand-written cases, and gate changes on regression results. - Run continuous evaluation of the products we build, whether APIs, SDKs, data representations, or reference applications, from the position of the end user, whether developer, agent, or consumer. Assess the gaps such as misuse of parameters or integration anti-patterns, recommend the fixes, and make sure they land. - Own the MVP against an agreed north star technical design, and balance technical perfection against shipping useful increments. - Build data pipelines and the tooling around them: ingestion, conflation, entity resolution, quality checks, and the batch and streaming jobs that keep a large dataset current. - Track and pull external datasets, models, and benchmarks from published research and open-source releases. Evaluate what fits the problem and constraints , and decide when to adopt what exists versus build your own. - Design feedback loops so that using a product generates data that improves it. Instrument systems so failures arrive with enough context to reproduce, then turn the recurring ones into evaluation cases. - Design the boundary between a model and the tools it calls. Build or improve the model harness, decide what the model handles, what it delegates, and how to keep it working from the state it actually fetched. - Work to a latency and cost target per request: streaming, partial results, caching, model routing, prompt structure. - Build the internal harnesses and tools (CLI, MCP, and others) your team needs to iterate quickly, and share the parts that generalize with other teams. - Raise the bar on your team through code and design review, and bring other engineers up on eval practice. - Some of the technical questions in this area are still open. You will help answer them. - Participate in an on-call rotation to ensure our systems remain available to customers 24/7. Team members alternate as the on-call primary responder, which may require immediate response outside normal working hours, including weekends. WHAT WE BELIEVE ARE IMPORTANT TRAITS FOR THIS ROLE - Required Education/Certification: - Bachelors Degree in STEM discipline and 5+ years of software engineering experience, with production ownership of services, pipelines, or SDKs. - Technical Skills & Tools (Must-Haves): - 2+ years shipping LLM-backed features to real users, in systems that carried error budgets, on-call rotations, and customers who noticed regressions. - Data engineering depth: SQL, at least one distributed processing framework, and experience with pipelines where a wrong record mattered more than a slow one. - Fluency with tool calling and agent orchestration, including the failure modes: stale context, hallucinated arguments, silent partial success, unbounded loops. - Strong Python or TypeScript, and comfort reading code in whatever language the caller happens to be written in. - Core Competencies & Scope: - Direct experience or deep understanding of designing evaluations for non-deterministic systems. You can describe a dataset you built and the failure it caught. - Working knowledge of more than one agent harness, and opinions about where each of them is weak. - Experience diagnosing latency in a distributed request path. - Comfort with ambiguity, and the judgment to ship something narrow that works while the general solution is still unclear.   NICE TO HAVE TRAITS FOR THIS ROLE - Geospatial data experience: routing, geocoding, POI or address data, OpenStreetMap, or conflation of overlapping sources. - Public API or SDK design experience, particularly for developers you never talk to. - Experience building against MCP or similar tool transports. - Experience running evals in CI, with a commercial harness or one you built. - Automotive, in-vehicle infotainment, CarPlay, or Android Auto experience. - Voice pipeline experience: streaming ASR, TTS, barge-in, endpointing, wake word. - Work under constrained compute, offline, or intermittent connectivity. - Experience operating a product through its first external integrations, where the customer finds the gaps before you do.     WHAT WE VALUE In addition to our core values https://www.mapbox.com/about/values/, which are not unique to this position and are necessary for Mapbox leaders: - We value high-performing creative individuals who dig into problems and opportunities. - We believe in individuals being their whole selves at work. We commit to this through supportive health care, parental leave, flexibility for the things that come up in life, and innovating on how we think about supporting our people. - We emphasize an environment of teaching and learning to equip employees with the tools needed to be successful in their function and the company. - We strongly believe in the value of growing a diverse team and encourage people of all backgrounds, genders, ethnicities, abilities, and sexual orientations to apply. HOW WE SUPPORT YOU - Hybrid/Remote Options: Enjoy flexibility to work comfortably from home or periodically from an office where applicable. - Comprehensive Healthcare: Private medical coverage for you and your dependents. - Family-First Support: Generous maternity and paternity leave policies to support your growing family. - Fertility & Family Building: Inclusive fertility support. Grow your family on your terms. - Lifestyle Spending Account: Contributions to support your health, wellness, and personal growth. - Balance & Brainpower: Mental health support for you and your dependents. - Rest & Recharge: Flexible paid time away, company holidays, and generous absence policies. - Time Off to Give Back: Dedicated paid volunteering time in addition to your standard PTO. - Invest & Grow: Retirement plans with competitive matching. Our annual base compensation for this role ranges from $175,100 - $236,900 for most US locations and 5% to 10% higher for US locations with a higher cost of labor. Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), market demands, and specific work location. Please discuss your specific work location with your recruiter for more information. By applying for this position, you acknowledge that you agree to the Mapbox Privacy Policy https://www.mapbox.com/legal/privacy which is linked here. Mapbox participates in E-Verify to confirm employee work authorization. Please refer to the Notice of E-Verify Participation https://drive.google.com/file/d/1rVYht6vc6QJmVzwML1rlh3BFboC-JkGe/view?usp=drive_link and Right to Work https://drive.google.com/file/d/1Pnzz1t8ueq8iPftJ7kqPOGoTnD5mqi0H/view?usp=drive_link posters for more information. Applications are accepted on an ongoing basis. We are committed to a fair and equitable hiring process. We do not discriminate against any protected class. #LI-Remote

Location: San Francisco, California Workplace: Hybrid ABOUT SENTRY Software runs the world and the pace is faster than ever. Sentry helps developers fix errors and performance issues before users notice, so teams can spend less time firefighting and more time building. Trusted by 200,000+ organizations, Sentry is today’s application monitoring standard and our team is building its AI-native future. ABOUT THE ROLE Sentry already sees the moment software breaks: the error, the trace, the replay, the commit that caused it. Seer, our AI debugger, uses all of that to figure out what went wrong and how to fix it. We're looking for a Staff engineer to help decide how that system should evolve as models improve every few months. Some of what we build today will be obsolete by next spring. Part of the job is knowing which parts, and building the rest to last. IN THIS ROLE YOU WILL - Build state-of-the-art agentic AI systems to triage, debug, and solve real production issues - Set technical direction for how our agents get context, use tools, and decide when they're done - Build the evals that tell us whether a new model or prompt actually helped, fast enough that people use them - Decide when to use a frontier model, a smaller one, or one we trained, and revisit that as cost and capability shift - Leverage Sentry’s novel (and massive) dataset of errors, spans, and profiles - Own major AI initiatives end to end, alongside the developers and product teams shipping them - Run what you ship in production and debug it with Sentry YOU'LL LOVE THIS JOB IF YOU - Are driven by impact and enjoy working on high-stakes, high-visibility projects - Enjoy building things. You will have the opportunity to join the AI/ML team as one of its foundational members - Thrive in cross-functional teams and enjoy building features alongside developers and product teams QUALIFICATIONS - You've shipped an LLM-backed system people depended on, and can tell us what broke - You have strong opinions on agent design and have changed at least one in the last year - You've trained or fine-tuned models when it was the right call, and you know when it isn't - You write solid production Python - You've owned a system or component and led work across multiple engineers and teams, with a design doc people actually read - You write clear technical documentation, mentor other engineers, and present to technical audiences The base salary range (or hourly wage range, if applicable) that Sentry reasonably expects to pay for this position is $240,000 to $400,000. A successful candidate’s actual base salary (or hourly wage) amount will be determined by a variety of relevant factors including, without limitation, the candidate’s work location, education, work and other relevant experience, skills, and job-related knowledge. A successful candidate will be eligible to participate in Sentry’s employee benefit plans/programs applicable to the candidate’s position (including incentive compensation, equity grants, paid time off, and group health insurance coverage). See Sentry Benefits https://sentry.io/careers/ for more details about the Company’s benefit plans/programs.   EQUAL OPPORTUNITY AT SENTRY Sentry is committed to providing equal employment opportunities to its employees and candidates for employment regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, or other legally-protected characteristic. This commitment includes the provision of reasonable accommodations to employees and candidates for employment with physical or mental disabilities who require such accommodations in order to (a) perform the essential functions of their jobs, or (b) seek employment with Sentry. We strive to build a diverse team, with an inclusive culture where every teammate can thrive. Sentry is an open-source company because we believe that everyone, everywhere, should have the ability and tools to make great software. Software should be accessible. That starts with making our industry accessible. If you need assistance or an accommodation due to a disability, you may contact us at accommodations@sentry.io. Want to learn more about how Sentry handles applicant data? Get the details in our Applicant Privacy Policy https://sentry.io/careers/applicantprivacy/.

Location: Brazil Alvys is building modern infrastructure for the logistics industry. Our cloud-based TMS (Transportation Management System) powers freight operations with intuitive workflows, real-time visibility, and deep automation—helping carriers and brokers scale faster and operate smarter. We’re a fast-growing startup backed by top investors and are passionate about solving real-world problems for an essential industry.  We’re looking for a highly skilled and hands-on Accounting Manager. In this high-impact role, you’ll be responsible for establishing scalable processes, ensuring the accuracy and integrity of our financial data, and enabling operational excellence as we grow. Role overview Alvys builds the transportation management platform that carriers and brokers use to run their businesses. As we scale, we’re building a finance function that is rigorous, hands-on and increasingly automated. We’re hiring an Accounting Manager to take ownership of the accounting engine behind that growth and work closely with the Head of Finance as the senior accounting lead on the team. You’ll own the full accounting cycle — month-end close, general ledger, revenue, AP, payroll, tax and audit readiness — with responsibility for producing a clean, accurate and defensible set of books. This is a hands-on role for someone who understands the ledger deeply enough to explain what changed, why it changed and what needs attention. You’ll run the close end to end, review the work prepared by the team, own the areas that require judgment, and step into the details when needed. You’ll also help develop the team, strengthen our processes and continue building the automation layer behind the finance function. Key responsibilities Month-end close and general ledger Own the close calendar end to end — task assignment, deadlines, review, and the close results package delivered to the Head of Finance. Review and post the journal entries prepared by the team, and prepare the entries that carry judgment — commission and bonus accruals, payroll true-ups, and period-end reclasses. Perform detailed balance sheet reconciliations covering cash, AR, deferred revenue, prepaids and accruals. Run flux analysis (MoM, YoY) across the P&L and balance sheet, and write variance commentary that explains the movement. Maintain the chart of accounts and product master lists, and keep reporting mappings current. Revenue reporting and billing oversight Review and approve the monthly revenue close prepared by the billing analyst — the reconciliation of subscription and non-subscription revenue across Stripe, Salesforce and QuickBooks Online, and the entries that come out of it. Own revenue recognition policy under ASC 606 and make the judgment calls: usage overages, multi-element contracts, contract modifications, concessions and early terminations. Own annual recurring revenue reporting (ARR and CARR) — the monthly build, the roll-forward of new, expansion, contraction and churn, and the tie-out of that roll-forward back to booked revenue in the general ledger. Connect recurring revenue reporting to Salesforce pipeline and contract reporting, reconciling bookings, billings and recognized revenue with the billing analyst. Oversee invoicing, collections and the dunning cycle. Approve concessions, credit memos and refunds, and review the deferred revenue schedule against the billing system. Accounts payable, expenses and payroll Oversee vendor bills, payment runs and employee reimbursements in Ramp, in partnership with People Operations. Partner with People Operations on domestic and international payroll — review the runs, journalize them, and reconcile the clearing and benefits-payable accounts. Review commission calculations and book the corresponding accruals and true-ups. Financial reporting and expense forecasting Update the monthly expense forecast off closed actuals — run rate by department and GL account, vendor and contract commitments, headcount and compensation roll-forward. Maintain the amortization and accrual schedules that drive forward-looking operating expense, and carry the changes into the forecast as they’re booked. Explain spend variance against budget at the account and department level, and keep the supporting detail current for leadership reporting. Tax, compliance and audit Coordinate with our external advisors on federal, state and franchise tax filings. Own sales tax, 1099 and entity registration compliance. Run audit readiness and execution: PBC lists, supporting schedules, and auditor questions. Team and process Manage and develop a small analyst team covering AP and expense operations, and billing and AR. Serve as backup across the team’s work, and as the Head of Finance’s delegate on accounting matters. Own the accounting SOP library, the close checklist and the task repository, and keep all three current. Find manual and inefficient processes and eliminate them as we target an “autonomous close.” Our close, billing and reconciliation processes already run on a growing set of automations, and this role is expected to extend them. Minimum qualifications Experience 6+ years of progressive accounting experience, including ownership of a full close cycle and hands-on balance sheet reconciliation. Solid full general ledger background — you’ve prepared and reviewed entries across payroll, accruals and revenue, can defend a balance, and understand how accounting activity flows through the income statement, balance sheet and cash flow statement. Revenue recognition experience under ASC 606 in a subscription business. Experience managing, reviewing and developing other accountants. Systems QuickBooks Online — required. Daily hands-on experience: chart of accounts, journal entries, bank reconciliation, reporting. Stripe — required. Subscriptions, invoices, credit memos, disputes, payouts, and reconciling subscription billing activity into the general ledger. Advanced Google Sheets. Pivots, lookups, nested logic, data validation. Salesforce is a significant plus. AI fluency and automation — required Demonstrated, current use of AI in your accounting work. Be ready to tell us what you’ve automated, what it replaced, and how much time it gave back. Comfort writing prompts, iterating on output, and knowing when not to trust it. Everything AI produces is reviewed before it touches the ledger. Our finance function runs on a library of custom AI workflows built in-house. You’ll use them daily and be expected to build on them. Preferred CPA or active CPA candidate — someone committed to a career in accounting and finance. SaaS or technology industry experience. Prior exposure to a modern expense, HRIS or close-management platform. Personal attributes Hands-on by instinct. You review the work, and you prepare it yourself when the cycle calls for it — working a reconciliation, chasing a variance or covering a teammate’s queue during close week. Comfortable operating on a small team where the person who owns the number also understands and builds the schedule behind it. Growth mindset. This role is deliberately scoped to expand, and we’re looking for someone who wants that. Clear written communication. A large share of this job is explaining a variance or accounting issue to someone who does not work in finance. Why Alvys Ownership. You’ll run the close and monthly financial reporting, with direct review from and partnership with the Head of Finance. Modern stack. A cloud-native finance stack — QuickBooks Online, Stripe and Salesforce at the core — with an AI tooling layer we build ourselves. Proximity to decisions. You’ll work directly with leadership and have real influence on how the accounting function is built as the company scales. Growth. This role is designed to expand in scope, with a path toward Controller as the business and finance organization mature. Collaborative culture. Mission-driven people building the future of logistics technology, grounded in trust and transparency. Alvys — Join our Team If this sounds like your next challenge, we’d like to hear from you. Equal Employment Opportunity Alvys is an equal opportunity employer and as such, we do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or any other characteristic protected by applicable laws. We are dedicated to growing a diverse team of highly talented people. We’re dedicated to building a workplace where we give each other the strategies, support, and space we each need to thrive—believing in and bringing out the best of everyone. If you require any accommodations during the recruitment process, whether it be alternate forms of material, accessible meeting rooms, etc., please let us know and we will work with you to meet your needs. For information about Alvys's privacy practices, see our Privacy Policy .

Location: Remote: United States About Neo4j: Neo4j is the graph intelligence platform that transforms data into knowledge to power the next generation of intelligent applications and AI systems. It includes enterprise-ready knowledge graphs for accurate, explainable, and governed AI; the most comprehensive, trusted, and easy-to-deploy graph capabilities across any environment and data source; and an unmatched ecosystem trusted by 84 of the Fortune 100 and supported by the world’s largest graph community. Intelligence that works. Results that matter. Built to work everywhere and integrate with everything across every cloud for dynamic, personalized, and autonomous AI systems. We deliver quicker results, contextual knowledge, and solutions that impact customers and employees across the business. Our Vision: At Neo4j, we have always strived to help the world make sense of data. As business, society and knowledge become increasingly connected, our technology promotes innovation by helping organizations to find and understand data relationships. We created, drive and lead the graph database category, and we’re disrupting how organizations leverage their data to innovate and stay competitive. Job Title: Sr. AI Solutions Architect Job Summary: As a Sr. AI Solutions Architect, you will lead the design, construction, and deployment of AI solutions that combine the power of graph databases and AI. You will act as a trusted advisor to our strategic customers, guiding them through complex data challenges and delivering transformative business value. You will have a great understanding of graph technologies, LLMs, and AI frameworks, and will be able to translate customer needs into production-ready AI applications grounded in real-world context using Neo4j Knowledge Graphs. Key Responsibilities: Solution Architecting: You will engage with technical leaders, stakeholders, and strategic partners to shape and guide the successful implementation of Graph+GenAI solutions, serving as a trusted advisor and thought partner to decision-makers throughout complex, high-impact engagements. You will design and advocate for robust, scalable solution architectures, leading the deployment of Graph+GenAI systems aligned with complex enterprise requirements and industry best practices driving architectural excellence and long-term value. You will collaborate closely with customer leadership to deeply understand their strategic objectives, translating them into high-impact AI solutions that harness the synergy of graph databases and LLMs. This includes leading the discovery of requirements, assessing enterprise data ecosystems, and identifying innovative opportunities to apply graph-based AI at scale. You will lead stakeholder engagement across all levels to steer project scope, align on priorities, mitigate risks, and ensure timely delivery—ensuring alignment between technical execution and business outcomes while maintaining a focus on measurable impact Solution Engineering: You will develop, test, and deploy production-ready AI applications that integrate graph databases with LLMs and orchestration frameworks. This involves writing production-level code, optimizing for performance and scalability, and ensuring seamless integration with customer systems. Continuously evaluate and improve the performance, scalability, and efficiency of deployed AI applications, incorporating new techniques and technologies as they emerge. Education & Enablement: You will work with other teams at Neo4j (Product and Marketing) to influence the roadmap and provide insights from the field, and package approaches, best practices, and lessons learned into thought leadership, methodologies, and published assets. You will share your expertise internally with other Neo4j teams and also with customers through workshops, training sessions, and documentation to empower them to effectively utilize, maintain, and reproduce the AI solutions you deliver. Maintain continuous learning and stay up-to-date with the rapidly evolving GenAI landscape, proactively seeking knowledge of new trends and technologies. Required Qualifications: Enterprise Application Architecture: 7+ years of experience architecting and delivering enterprise-grade applications, with a deep understanding of the full software development lifecycle and the ability to guide teams through complex design and implementation decisions. LLM Proficiency: 2+ years of Experience working with Large Language Models (LLMs), including prompt engineering, fine-tuning, and integrating LLMs into applications. Maintain up-to-date knowledge of different LLM providers and their strengths and limitations, as well as open-source ones). Programming Proficiency: Advanced proficiency in at least one major programming language (e.g., Java, JavaScript, Python, or C#), with a proven track record of delivering clean, maintainable, and scalable code within complex systems. Deployment and Version Control: Deep hands-on experience with deployment tooling across Linux, Docker, and Kubernetes environments, along with expert-level use of version control systems (e.g., Git, SVN) in enterprise development workflows. Cloud Computing Expertise: Demonstrated expertise in deploying and scaling applications across cloud platforms (AWS, Azure, GCP), with a strategic understanding of cloud-native architecture and DevOps best practices. Generative AI Ecosystem Knowledge: In-depth knowledge of the generative AI ecosystem, including frameworks (e.g., LangChain, LlamaIndex, Haystack) and familiarity with cloud-native AI platforms (e.g., AWS Bedrock, Google Vertex AI, Azure ML), enabling you to architect end-to-end AI solutions. Data & Analytics Fluency: Strong background in data engineering, analytics, or data science, with the ability to design data pipelines and workflows across structured and unstructured data. Hands-on experience with big data technologies (e.g., Hadoop, Spark, Hive) and database systems (SQL and NoSQL) Graph Database Authority: Deep expertise in graph data modeling and query languages (e.g., Cypher), along with practical experience working with graph databases (e.g., Neo4j, Amazon Neptune, TigerGraph) or triple stores (e.g., Ontotext, Stardog), enabling advanced knowledge graph applications Communication and Collaboration Skills: Exceptional communication and stakeholder engagement skills, with a demonstrated ability to influence cross-functional teams and align technical decisions with business goals. Problem-Solving and Analytical Abilities: Strong analytical mindset with the ability to break down complex problems, architect AI solutions, and mentor teams through implementation Willingness and ability to travel up to 50% to engage with customers, lead strategic discussions and ensure successful project execution. The annual on target earnings range for this position based in the United States is listed below. This range is an estimate, and the actual on target earnings may vary based on Neo4j’s compensation practices, job related skills, depth of experience, relevant certifications and trainings, in addition to geographic location. Based on the factors above, Neo4j utilizes the full width of the range. In addition to the range below, US employees are eligible for a stock option grant and certain roles are eligible for an annual bonus. Employees in this position are also eligible to participate in the Company’s standard benefit programs, which currently include the following: medical, dental, and vision benefits, 401(k), paid time off, and certain leaves of absence. Annual On Target Earnings Range $200,000 — $265,000 USD Why Join Neo4j? Neo4j is, without question, the most popular graph intelligence platform in the world. We have customers in every industry globally, and our products are a proven product/market fit. Joining our team is an opportunity to shape the future of data and analytics. Below are just a few exciting facts about Neo4j. Neo4j is one of the fastest-scaling technology companies in this industry. It recently surpassed $200M in annual recurring revenue (ARR), doubling its ARR over the past three years. Raised the biggest funding round in database history ($325M Series F). Backed by world-class investors like Eurazeo, GV (formerly Google Ventures), and Inovia Capital, Neo4j has raised over $600M in funding and is currently valued at over $2Bn. This puts Neo4j among the most well-funded database companies in history. 84% of the Fortune 100 and 58% of the Fortune 500 use Neo4j. Examples include Boston Scientific , BT Group , Caterpillar , Cisco , Comcast , Department for Education UK , eBay , NBC News , Novo Nordisk , Worldline , and others . Co-founder and CEO Emil Eifrem has built an amazing culture that prides itself on relationships, inclusiveness, innovation, and customer success. Countless industry awards . Massive enterprises and individual developers/data scientists love Neo4j. A strong sense of community and ecosystem is built around the platform. A recent Forrester Total Economic Impact™ Study cited Neo4j as delivering 417% ROI to customers. Research shows that members of underrepresented communities are less likely to apply for jobs when they don’t meet all the qualifications. If this is part of the reason you hesitate to apply, we’d encourage you to reconsider and give us the opportunity to review your application. At Neo4j, we are committed to building awareness and helping to improve these issues. One of our central objectives is to provide an inclusive, diverse, and equitable workplace for everyone to develop their potential and have a positive, career-defining experience. We look forward to receiving your application. Neo4j Values: Neo4j is a Silicon Valley company with a Swedish soul. We foster collaboration and each of us is empowered to contribute and put our innovative stamp on projects. We hire candidates who reflect the following Neo4j core values: (we)-[:VALUE]->(relationships) (we)-[:FOCUS_ON]->(userSuccess) (we)-[:THRIVE_IN]->(:Culture {type: [‘Open’, ‘Inclusive’]}) (we)-[:ASSUME]->(:Intent {direction:’Positive’}) (we)-[:WELCOME]->(:Discussions {nature: ‘IntellectuallyHonest’}) (we)-[:DELIVER_ON]->(ourCommitments) Neo4j is committed to protecting and respecting your privacy. Please read the privacy notice regarding Neo4j's recruitment process to understand how we will handle the personal data that you provide. More information at www.neo4j.com . ©2026 Neo4j, Inc., Neo Technology®, Neo4j®, Cypher®, Neo4j Bloom™, Neo4j Graph Data Science Library™, Neo4j® Aura™, and Neo4j® AuraDB™ are registered trademarks or a trademark of Neo4j, Inc. All other marks are owned by their respective companies.

Location: United States Workplace: Remote At ClickUp, we're building the future of work: the first truly converged AI workspace unifying tasks, docs, chat, calendar, and enterprise search, all supercharged by context-driven AI. We are an AI-native company. Every team member is expected to leverage AI daily, and we evaluate AI fluency as part of our hiring process. Join us and help redefine what's possible. 🚀 ROLE OVERVIEW As the Engineering Manager - Developer Productivity, you will lead a high-impact team focused on improving developer workflows, reducing friction, and enhancing the overall engineering experience. You’ll collaborate across teams to identify bottlenecks, implement scalable solutions, and foster a culture of continuous improvement. Your work will directly influence the speed, quality, and happiness of our engineering organization. RESPONSIBILITIES: 1. Infrastructure & Tooling - Oversee the development and maintenance of CI/CD pipelines, build systems, and internal tools, including AI-powered internal tooling and agents. - Ensure our developer infrastructure is scalable, reliable, and secure. - Evaluate and implement new AI-native technologies, considering token economics, compute costs, and AI spend alongside productivity gains. 2. Team Leadership & AI People Development - Build, mentor, and lead a team of engineers focused on developer productivity. - Foster a culture of collaboration, innovation, and accountability. - Set clear goals and provide regular feedback to drive team performance in partnership with your Director. - Assess each report's AI fluency level (Assisted, Augmented, Native) and set individual growth targets. - Include AI fluency as a coaching topic in 1:1s; pair less AI-fluent engineers with AI-native peers for knowledge transfer. - Create space for AI experimentation: dedicated time, safe-to-fail projects, and learning sprints. - Recognize and reward AI-driven improvements in performance conversations. 3. Collaboration & Communication - Work closely with engineering, product, and design teams to align priorities. - Advocate for developer needs and ensure alignment with company goals. - Communicate capabilities and limitations to non-technical stakeholders. - Write specs, rules files, and documentation that make AI more effective for the whole team. 4. Metrics & Continuous Improvement - Define and track key metrics to measure developer productivity, satisfaction, and AI-driven productivity gains. - Use data-driven insights to prioritize initiatives and demonstrate impact. - Track team-level AI adoption metrics and report on AI-augmented workflow effectiveness. - Continuously iterate on processes to improve engineering velocity and quality. 5. AI-Native Developer Experience - Identify and eliminate pain points in the development lifecycle, with a focus on AI-augmented workflows. - Drive adoption of AI coding tools (Cursor, Brain, copilots) as the default across engineering teams. - Ensure every team member has access to and is actively using AI tools; track adoption and remove blockers (tooling, access, training). - Partner with engineering teams to design AI-augmented development workflows that multiply team velocity. - Coach engineers on the Builder model: planning, delegating to agents, reviewing with judgment, and shipping with velocity. 6. AI Governance & Risk - Ensure the team follows AI usage guidelines (data handling, code review, IP considerations). - Flag risks from AI-generated code (security, correctness, licensing) proactively. - Maintain visibility into what AI tools the team is using and how they're being used. - Run regular retros and feedback loops on AI-related outcomes. - Review AI-generated outputs alongside the team to build shared quality standards.   QUALIFICATIONS: - Experience: 7+ years in software engineering, with 3+ years in a leadership role managing engineering teams. - Technical Expertise: Strong understanding of developer tools, CI/CD pipelines, and modern software development practices. Hands-on experience with AI coding tools (Cursor, Claude Code, Codex, or similar) and an understanding of how to integrate them into engineering workflows. - AI Fluency: Demonstrated ability to operate at the AI Augmented level or above: you personally use AI tools daily and have coached others on effective AI-assisted development. Familiar with prompt engineering, context engineering, and token economics. - Builder Mindset: Comfortable with the 80/20 model (planning and review vs. direct execution). Experience orchestrating work across humans and AI agents, with strong judgment on when to delegate to AI vs. when human decision-making is critical. - Leadership Skills: Proven ability to build and lead high-performing teams. Experience assessing and developing AI fluency across a team. - Problem-Solving: Track record of identifying inefficiencies and implementing scalable solutions, including building or adopting AI-powered tooling and eval frameworks. - Governance Awareness: Understanding of AI & non-AI related risks (security, correctness, licensing, data handling) and experience establishing quality standards for outputs. - Collaboration: Exceptional communication and stakeholder management skills. Ability to translate AI capabilities and limitations to non-technical audiences. - Mindset: Passion for improving developer experiences and driving organizational impact through AI-native practices with a customer first mentality.   WHY JOIN US? - Impactful Work: Shape the future of developer productivity at a fast-growing, AI-native SaaS company. - AI-Native Culture: Work in an organization that treats AI as a core competency, not a nice-to-have, with industry-leading investment in AI tooling, agents, and engineering workflows. - Builder Operating Model: Join a team that's redefining how software gets built: orchestrating AI agents, shipping with compound engineering, and measuring what matters. - Growth Opportunities: Advance your career on a clear AI-native career pathway with structured fluency levels and development support. - Flexible Environment: Enjoy the freedom of remote work with a global team. Equal Opportunity Employer ClickUp is an Equal Opportunity Employer, and qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin. Privacy Notice ClickUp collects and processes personal data in accordance with applicable data protection laws. You can find further details by viewing our Global Candidate Privacy Notice. https://clickup.com/careers-terms/candidate-privacy-notice If you are a Philippine Job Applicant, please also see our Philippine Data Privacy Notice https://t333.s.clickup-attachments-stg.com/t333/d9a53ce2-6d2c-48cd-84b1-ed4e525f9613/Philippine%20Data%20Privacy%20Notice_2024.pdf?view=open for further details. Visa Sponsorship Please note we are unable to sponsor or take over sponsorship of an employment visa for roles outside of engineering and product at this time. Sponsorship for engineering and product roles is not guaranteed, but is instead based on the business needs for that specific role at that time. Please reach out to the recruiter with any questions. Fraud Alert ClickUp Talent Acquisition will only initiate contact via an @clickup.com http://clickup.com email or through our official careers portal on clickup.com http://clickup.com. We will never request fees, payments, or sensitive personal information. Please disregard any offers received outside these channels and report them to support@clickup.com. AI Processing Notice ClickUp may use artificial intelligence and machine learning technologies to help review and screen candidates' employment applications against role-related criteria. These tools support, but do not replace, human decision‑making. If you have questions or need an accommodation in the recruitment process, please contact us at AskPeople@ClickUp.com.

Location: London, United Kingdom Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . As Reddit continues to scale its advertising business, we’re looking for a Senior Technical Solutions Manager based in London to help drive the success of Reddit Ads across the region. This is a senior individual contributor role that works across the Reddit Ads product portfolio, with particular expertise in app advertising technologies. You’ll act as a trusted technical advisor to advertisers, agencies, partners, Sales, Product, Engineering, and regional go-to-market teams. You’ll lead complex investigations across campaign creation, delivery, measurement, reporting, APIs, integrations, funding, account access, and third-party reporting. You’ll also translate recurring technical issues and customer feedback into product improvements, scalable guidance, and more effective operating processes. This role is expected to work from the London office 1–2 days per week. Responsibilities: Lead complex technical investigations: Diagnose and resolve ambiguous advertiser and partner issues across Ads Manager, campaign creation, targeting, ad experiences, delivery, pacing, auctions, reporting, measurement, Business Manager, asset sharing, funding instruments, credit lines, account access, APIs, integrations, MMP and SKAN workflows, validation requests, and third-party reporting discrepancies. Advise customers and partners: Act as a trusted technical advisor, translating business objectives into practical recommendations across implementation, measurement, troubleshooting, and platform usage. Manage escalations end to end: Triage urgent and revenue-impacting issues, coordinate the appropriate Product and Engineering stakeholders, maintain clear communication, and drive resolution against agreed service expectations. Apply structured technical analysis: Use logs, data, APIs, event payloads, developer tools, documentation, and reproducible test cases to isolate root causes and distinguish between configuration issues, integration failures, measurement discrepancies, and product defects. Influence product and engineering priorities: Identify recurring technical issues, regional friction points, and operational gaps. Turn findings into clear business narratives, evidence-based recommendations, and actionable roadmap feedback. Support product quality and launches: Partner with Product and Engineering to test new features, validate advertiser workflows, identify risks before launch, and improve technical readiness. Create scalable solutions: Convert recurring issues into runbooks, documentation, enablement, tooling, and automation that reduce repeat investigations and improve the customer experience. Improve AI-assisted support workflows: Help manage and refine AI-enabled support flows, ensuring that outputs are accurate, well governed, and aligned with Reddit Ads processes. Build structure in a growing function: Identify support gaps, establish repeatable processes, strengthen relationships across teams, and help shape how EMEA Technical Solutions operates. Represent EMEA Technical Solutions: Share regional customer impact and technical insights with global Technical Solutions, Sales, Product, Engineering, and go-to-market leadership. Participate in on-call support: Join a senior rotation supporting critical, revenue-blocking platform issues. Qualifications: 7+ years of experience in technical solutions, solutions engineering, ad technology, digital advertising, measurement, integrations, or a related customer-facing technical role. Deep understanding of digital advertising ecosystems, including campaign setup, targeting, delivery, pacing, bidding or auction dynamics, reporting, attribution, measurement, and advertiser troubleshooting. Strong expertise in mobile app advertising, including app event instrumentation, SDK and MMP configuration, attribution flows, SKAN, and app campaign diagnostics. Hands-on experience with REST APIs and technical integrations, including reading API documentation, testing endpoints, analysing request and response payloads, and troubleshooting authentication and permission issues. Experience using logs, data analysis, developer tools, and reproducible test cases to investigate technical issues. Working knowledge of web technologies and digital protocols, including JavaScript, HTML, CSS, APIs, feeds, and XML. Ability to prioritise customer impact, revenue risk, urgency, and scalable solutions in ambiguous situations. Excellent written and verbal communication skills, with the ability to explain complex technical issues to both technical and non-technical audiences. Experience partnering effectively with Sales, Product, Engineering, Support, and external technology providers. Demonstrated ability to operate independently, lead through influence, and create structure in a developing function. BA/BS Degree Benefits: Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support Family Planning Support Gender-Affirming Care Mental Health & Coaching Benefits Group Personal Pension Scheme with Employer match Private Medical and Dental Scheme Income Replacement Programs Bike to Work scheme Flexible Vacation & Paid Volunteer Time Off Generous Paid Parental Leave In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews. During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable.  We will not sell your personal information or disclose it to any third party for their marketing purposes.  We will delete any recording of your interview promptly after making a hiring decision.  For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors . Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve.  Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.

Location: ES - Spain Scopely is looking for a Senior Identity Security Engineer to join our Information Security team on a remote basis or hybrid basis if located in Barcelona.  This is a hands-on engineer who will build identity controls that reduce excessive privilege and protect critical operations. You will improve access across employee, player, business partner, and non-human identities by building AI-native identity workflows: agentic systems that handle provisioning, access reviews, and remediation within explicit guardrails, with humans approving what matters. Your work will protect the identities and access that support Scopely’s critical business processes, including essential enterprise functions and game operations.  This is a highly technical, hands-on role for someone who can operate across AWS, GCP, Okta, AWS IAM Identity Center, Zero Trust access models, identity governance workflows, and modern AI-enabled engineering environments, while building scalable identity systems through Infrastructure as Code, workflow orchestration, and automation-first security engineering. What You Will Do Reduce identity attack surface and privilege Reduce standing and excessive access with least-privilege roles, just-in-time and time-bound elevation, and automated access reviews. Build repeatable identity and access workflows that make onboarding, approvals, role changes, reviews, and offboarding consistent, traceable, and timely. Govern non-human identities, including service accounts, workload identities, CI/CD identities, API credentials, and AI agents and their tool integrations: inventory them, assign owners, replace long-lived secrets with short-lived or federated credentials, and rotate or revoke on a schedule and on signal. Strengthen identity protection and resilience Protect access to critical business processes and systems with phishing-resistant authentication (passkeys/FIDO2), device trust and posture signals, tightly controlled privileged access, and prompt revocation of suspicious sessions or compromised credentials. Threat-model identity platforms, integrations, and access paths to identify exploitable trust relationships, privilege escalation, and credential misuse. Build identity telemetry and response workflows to detect risky sign-ins, privilege changes, credential misuse, and compromised integrations. Design and test break-glass and recovery procedures for identity services and cloud access so teams can regain secure access during an outage or compromise. Extend the same patterns to player and partner identities where security owns the controls: platform identity federation (Apple, Google, Steam, console), account linking and recovery, external and vendor access, and defenses against account takeover and credential stuffing. Build AI-native identity services Build and operate reusable identity controls and services using infrastructure as code, APIs, scripting, and delivery pipelines. Apply code review, testing, drift detection, and audit trails so that every change, whether made by an engineer or an agent, is safe to deploy and easy to investigate. Design and build multi-agent workflows that surface identity risk, run access attestations, and triage and remediate access issues end to end. Engineer the harness those agents run in: scoped tools and permissions, curated context and data access, evals and test cases, orchestration between agents, and observability, so agent behavior is predictable, reviewable, and improvable. Treat agents as identities. Give every agent and MCP integration its own scoped credentials, least-privilege permissions, and bounded data access; validate inputs and outputs; log every action; and require human approval for changes that touch privileged access or production. Work with game and platform stakeholders to adopt shared identity patterns. Measure progress through reduced standing privilege, stale access, and unmanaged identities, and less manual work. Produce audit-ready evidence for access reviews, privileged access, and lifecycle events as a byproduct of the workflows rather than a separate project. What You Bring 5+ years of experience in IAM, or identity-focused cloud/security engineering, including hands-on ownership of production identity controls in complex environments. Strong experience with Okta or a comparable workforce identity platform and AWS/GCP IAM, as well as federation and provisioning protocols such as SAML, OIDC, OAuth, and SCIM. Production experience building, testing, and operating identity services or automation using Terraform or comparable infrastructure as code, Python, Go, or TypeScript., APIs, version control, and CI/CD. Strong knowledge of least privilege, just-in-time privileged access, identity lifecycle and governance, authentication controls, and non-human or workload identity risk. Experience threat-modeling identity architectures, integrations, and access paths, and driving remediation with service owners. Hands-on experience building AI-native workflows: systems where agents carry out multi-step work end to end, designed from the start around what agents can be trusted to do and where humans approve. Using a coding assistant does not count. Working fluency with harness engineering and multi-agent development: defining tools and permissions, scoping context and data, writing evals, orchestrating specialized agents, and instrumenting agent runs so failures are diagnosable, plus the judgment to keep those systems inside least-privilege boundaries. Ability to lead technical work from design through deployment and operations, and explain identity risks and implementation choices to stakeholders. Experience with identity governance, privileged access, or cloud entitlement tooling, or having built the equivalent in-house. Nice-to-have Consumer identity (CIAM) at scale, Kubernetes workload identity, detection engineering or SIEM experience, Okta or cloud security certifications, gaming or live-service experience. About Scopely Scopely is a leading video game and global interactive entertainment company, home to many of the world’s most beloved and enduring experiences, including two of the most successful mobile games of all-time “MONOPOLY GO!” and “Pokémon GO,” along with “Stumble Guys,” “Star Trek™ Fleet Command,” “MARVEL Strike Force,” “WWE Champions,” the Scrabble® franchise, “Yahtzee® With Buddies,” and many others. Across mobile, web, PC, and console, Scopely creates, develops, publishes, and live-operates one of the most diversified and award-winning portfolios in the games industry — bringing hundreds of millions of players together through a shared love of play. Founded in 2011, Scopely is powered by its exceptional team — including thousands of world-class gamemakers around the globe, a distinctive tenet-driven culture, and its proprietary technology platform, Playgami. Together, these strengths have fueled Scopely’s position as the #1 mobile games company in the U.S. and #2 globally, generating more than $10 billion in lifetime revenue. Whether building global sensations like “MONOPOLY GO!” from the ground up, or expanding through strategic acquisitions, including the FoxNext, GSN, and Scopely Explore games businesses — Scopely consistently delivers experiences players love today and return to for years to come. Recognized multiple times as one of the "100 Most Influential Companies in the World" by TIME magazine and one of Fast Company's "World's Most Innovative Companies" and “Best Workplaces for Innovators,” Scopely believes that video games can be a force for good — creating meaningful connections, vibrant communities, and making life better through play. Scopely has global operations and partners across four continents in more than a dozen countries worldwide. For more information, visit: https://www.scopely.com/ . Notice to Candidates: Scopely will never request payment or financial information during the application or hiring process. Please apply only through our official website and verify that all Talent Partner communications come from an email address ending in @ scopely.com . Should you have any questions or encounter any fraudulent requests/emails/websites, please immediately contact recruiting@scopely.com. Our job applicant privacy policies are available here: California Privacy Notice and EEA/UK Privacy Notice . Employment at Scopely is based solely on a person's merit and qualifications. Scopely does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), or any other basis protected by law. We also consider qualified applicants with arrest or conviction records, consistent with applicable federal, state and local law.

Location: Chicago, IL, USA; New York, NY, USA; San Francisco, CA, USA About the role Every Chimer’s laptop is a door into our systems, and you’d own the platform that decides whether that door opens. We’re looking for a Senior Systems Engineer to take the reins on our macOS fleet — Jamf Pro, AutoPkg, zero-touch provisioning — and to sit shoulder-to-shoulder with Security on device trust, so posture checks happen before anyone touches corporate data. We’ve built our access platform entirely in the cloud (Jamf, AutoPkg, Okta, osQuery, CrowdStrike), and there’s a lot still to define: you’ll often be the one framing the problem and getting people aligned on a direction, not waiting for a spec. You’ll report to our IT Engineering Manager and join an after-hours/on-call rotation for critical endpoint issues — we’ll walk you through exactly what that looks like during the interview process. The base salary offered for this role and level of experience will begin at $152,000 and up to $210,000. Full-time employees are also eligible for a bonus, competitive equity package, and benefits. The actual base salary offered may be higher, depending on your location, skills, qualifications, and experience In this role, you can expect to Own our Jamf Pro environment end to end — configuration profiles, smart groups, policies, MDM commands, and the change standards that keep it all sane — and set the technical direction for where it goes next. Run the AutoPkg pipeline that gets software onto the fleet: recipes, overrides, trust verification, automated import into Jamf, plus packaging, patching, and disk encryption globally. Make day one work for new Chimers through zero-touch provisioning and enrollment (ADE, Setup Assistant, bootstrap workflows) that just happens without anyone filing a ticket. Leverage AI and automation tools to accelerate script development, troubleshoot complex endpoint issues, and scale operational workflows. Write the scripts and integrations (Python, Swift, Bash, Go, plus vendor APIs) that delete manual IT work — and build them so other engineers can adopt them instead of rebuilding them. Partner with Security to push our Zero Trust model forward, wiring device posture into Okta so device health is a real factor in authentication and app access. Bring our compliance story to life — CIS-style benchmarks applied with a documented, risk-based rationale, plus the metrics and reporting that show the real inventory, health, and compliance state of every device. Lead work that crosses IT Support, Security, and People, act as Tier 3 for the gnarliest endpoint problems, and mentor the engineers and technicians around you through documentation, guidance, and example. To thrive in this role, you have 8+ years managing macOS at scale with an enterprise MDM (Jamf Pro, Kandji, Mosyle) and/or open-source tooling (Munki, Puppet, Chef). Real production experience with AutoPkg — building and operating recipes, overrides, trust controls, and automated promotion into an MDM. Familiarity with AI-assisted development and prompt engineering to drive efficiency in automation, documentation, and troubleshooting. Deep knowledge of Apple’s MDM protocol and Configuration Profile specs, including where Declarative Device Management is taking things. Command of macOS internals: installers and packages, LaunchDaemons and LaunchAgents, the preferences subsystem, system extensions, built-in security tooling (Endpoint Security Framework, SIP, XProtect, Gatekeeper, openBSM), and unified logs. Fluency in at least one scripting or general-purpose language (Python, Swift, Bash, Go) for automation and API work, and a solid grasp of Zero Trust / BeyondCorp and how endpoint posture feeds access decisions. A track record of decisions that span multiple systems, where you have to weigh scalability, compliance, cost, and what someone will have to maintain three years from now. Comfort in ambiguity and the communication skills to match — you can define a problem, bring stakeholders along, and write the kind of documentation that scales understanding across a distributed team. Bonus points if you bring Jamf Certified Admin (300/400), Terraform or other IaC for SaaS and MDM config, osQuery/CrowdStrike experience, Okta device trust integrations, or Windows endpoint management (Intune, PowerShell, MSI packaging) — Windows is a smaller slice of our fleet. #LI-Onsite #LI-WS1 Below is the base salary offered for this role and level of experience. Full-time employees may also be eligible for bonus(es), competitive equity, and benefits. For commissioned roles, the base salary listed in this job description does not include incentive/variable pay. The actual base salary offered may be higher, depending on your location, skills, qualifications, and experience. Wage Notice $152,000 — $210,000 USD A little about us At Chime, we believe that everyone can achieve financial progress. We created Chime—a financial technology company, not a bank*—on the premise that core banking services should be helpful, easy, and free. Through our user-friendly tools and intuitive platforms, we empower our members to take control of their finances and work towards their goals. Whether it's starting a savings account, purchasing a first car or home, launching a business, or pursuing higher education, we're proud to have helped millions unlock their financial potential. We're a team of problem solvers, dreamers, and builders with one shared obsession: our members. From day one, Chimers have worked tirelessly to out-hustle and out-execute competitors to bring our mission to life. Their grit and determination inspire us to work harder every day to deliver the very best experience possible. We each bring an owner's mindset to our work, refusing to be outdone and holding ourselves accountable to meet and exceed the highest bars for our teams, our company, and our members. We believe in being bold, dreaming big, and taking risks, while also working together, embracing our diverse perspectives, and giving each other honest feedback. Our culture remains deeply entrepreneurial, encouraging every Chimer to see themselves as stewards of our mission to help everyday Americans unlock their financial progress. We know that to achieve our mission, we must earn and keep people's trust—so we hold ourselves to the highest standards of integrity in everything we do. These aren't just words on a wall—our values are embedded in every aspect of our business, serving as a north star that guides us as we work to help millions achieve their financial potential. Because if we don't—who will? *Chime is a financial technology company, not a bank. Banking services provided by The Bancorp Bank, N.A. or Stride Bank, N.A., Members FDIC. What we offer for our full-time, regular employees 🏢 Our in-office work policy is designed to keep you connected - with four days a week in the office and Fridays from home for those near one of our offices, plus team and company-wide events depending on location. 💻 Benefits that support your work and life, including backup child, elder, and pet care and subsidized commuter benefits for eligible employees. ✨ Comprehensive health, financial, and wellbeing benefits designed to support you at every stage of life. 🏝 Generous vacation policy and company-wide paid days off 🫂 1% of your time off to support local community organizations of your choice 👟 Annual wellness stipend to use towards eligible wellness related expenses 👶 Up to 22 weeks of paid parental leave for birthing parents and 12 weeks of paid parental leave for non-birthing parents 👪 Access to family planning reimbursement 💚 A challenging and fulfilling opportunity to join one of the most experienced teams in FinTech and help millions unlock financial progress We know that great work can’t be done without a diverse team and inclusive environment. That’s why we specifically look for individuals of varying strengths, skills, backgrounds, and ideas to join our team. We believe this gives us a competitive advantage to better serve our members and helps us all grow as Chimers and individuals. Chime is proud to be an Equal Opportunity Employer. We consider qualified applicants without regard to race, color, ancestry, religion, sex, national origin, sexual orientation, gender identity, age, marital or family status, disability, genetic information, veteran status, or any other legally protected basis under provincial, federal, state, and local laws, regulations, or ordinances. We will also consider qualified applicants with criminal histories in a manner consistent with the requirements of state and local laws, including the San Francisco Fair Chance Ordinance, Cook County Ordinance, NYC Fair Chance Act, and the LA City Fair Chance Ordinance, and consistent with Canadian provincial and federal laws. If you have a disability or special need that requires accommodation during any stage of the application process, please contact: accommodations@chime.com . To learn more about how Chime collects and uses your personal information during the application process, please see the Chime Applicant Privacy Notice .

Location: United Kingdom, London Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Role Overview: We are seeking a Senior Director to lead our Enterprise Reporting and Analytics Engineering organization, a team of analytics engineers, report developers, visualization specialists, and people leaders. This organization focuses on the last mile of the enterprise data supply chain: the semantic models, curated data products, metric definitions, and consumption experiences that turn engineered data into decisions. This is not a traditional reporting leadership role; the classic notion of “reporting” in the form of a myriad of dashboards and filters is racing towards obsolescence. But the need for data and insights, and the need to deliver it in a way that is digestible and actionable, is timeless. Yes, governed dashboards and trusted reporting remain the foundation, and this leader must be excellent at that foundation. But the mandate is to move the organization decisively beyond static reporting toward a proactive, intelligent analytics capability: partnering with Data Science to productize and visualize their models, enabling generative AI and LLM-based access to our data, building exception-based systems that alert users when outcomes deviate from expectation in a statistically meaningful way, and designing agents that monitor data continuously and deliver insight without being asked. Analytics engineering shares much of its DNA with data engineering — modeling, transformation, testing, version control, CI/CD, performance and cost discipline — but is oriented toward business enablement rather than platform and pipeline. Success in this role therefore depends as much on partnership as on technical depth. This leader will work shoulder to shoulder with Data Engineering on the boundary between platform and consumption, with Product Management on roadmap and requirements, with Data Science on advanced analytic products, and with Analytics Operations on a disciplined intake and prioritization process that makes the best possible use of finite capacity. The ideal candidate has spent years building the traditional foundations — governance, metadata, lineage, dimensional modeling, engaging with enterprise BI platforms— and is now looking to apply that rigor to a fundamentally different generation of analytic products in new and innovative ways. What you'll be doing: Organizational Leadership Lead, coach, and develop an organization of approximately 30 people, including managing through frontline managers; own hiring, role clarity, career pathing, performance management, and succession planning. Define a multi-year vision and roadmap for enterprise reporting and analytics engineering, and translate it into quarterly outcomes the team and its partners can measure. Partner closely with Product Management to jointly shape the multi-year enterprise end-to-end data strategy. Own the organization's budget, vendor relationships, and contractor or offshore capacity. Establish and sustain an engineering culture within an analytics function: peer review, automated testing, documentation standards, source control, CI/CD, etc. Analytics Engineering and Data Architecture Drive maturity of the last-mile architecture in partnership with Data Engineering: curated marts, semantic layers, reusable data products, and certified datasets that serve reporting, ai enablement, data science, and downstream applications. Define and enforce dimensional modeling standards, transformation frameworks, and modular, tested, version-controlled analytics code. Own the enterprise metric layer so that key business measures carry a single, governed definition regardless of where they are consumed. Partner with Data Engineering to define clear contracts and handoffs between pipeline and platform work and last-mile modeling, including shared tooling, standards, and escalation paths. Manage query performance, warehouse consumption, and platform cost as first-class engineering concerns. Data Governance, Metadata, and Lineage Own cataloging, business glossary, data certification, and stewardship workflows, leveraging tools such as Atlan as the primary metadata platform. Maintain column-level lineage across the analytics estate to support impact analysis, change management, audit, and root-cause investigation. Leverage data access provisioning and entitlement models, including row- and column-level security, in partnership with Security, Privacy, and Compliance. Collaborate with Data Engineering to drive data quality monitoring, freshness and availability SLAs, observability, and incident response for analytic assets. Enterprise Reporting and Data Visualization Drive analytics engagement by leveraging enterprise visualization and provisioning platforms, including Domo and Tableau, in partnership with Data Engineering. Ensure best practices are followed in data architecture, governance, adoption, performance, and total cost management. Set visualization and information design standards that make reports readable, consistent, accessible, and decision-oriented. Rationalize the existing reporting portfolio: retire redundant and unused assets, consolidate overlapping content, drive down tech debt and drive consumption toward certified sources. Build a durable self-service capability through training, templates, community, office hours, and clear guardrails on what belongs in self-service versus centrally managed content. Advanced, Proactive, and AI-Enabled Analytics Partner with Data Science to productize their work: build the visualization, interaction, monitoring, and feedback loops that turn models and research into products the business actually uses. Partner with Product Management and Data Engineering to enable generative AI and LLM access to enterprise data. This includes preparing the semantic and metadata foundation that makes data legible to models, delivering conversational analytics, text-to-SQL, and retrieval-augmented experiences on governed sources, and establishing guardrails, evaluation, and accuracy monitoring so that answers can be trusted. Build exception-based analytics that detect when an outcome deviates from its expected value in a statistically significant way, using seasonality-aware baselines, forecast residuals, control limits, and anomaly detection rather than static thresholds. Route those exceptions to accountable owners with context, likely drivers, and a recommended next action; actively tune sensitivity and volume to prevent alert fatigue and preserve signal. Design and deploy analytic agents that proactively monitor data, investigate variances, assemble narrative explanations, and deliver insight into the tools where people already work. Shift the organization's consumption model from pull to push: the measure of success is not how many people opened a dashboard, but whether the right person was told the right thing at the right time. Cross-Functional Partnership, Intake, and Prioritization Operate as a true partner to Product Management: contribute to roadmap, requirements, user research, and release planning, and run analytics with a product mindset covering personas, adoption metrics, and asset lifecycle management. Partner with Analytics Operations to run a transparent intake, triage, sizing, and prioritization process, with published capacity, explicit tradeoffs, and reliable delivery commitments. Make capacity constraints visible to stakeholders and executives, drive reuse over one-off builds, and decline or defer work with evidence rather than friction. Serve as a senior, executive-facing partner to business functions, translating ambiguous business questions into well-scoped analytic solutions. What we're looking for: Bachelor's degree in Computer Science, Information Systems, Engineering, Statistics, Mathematics, Economics, or a related quantitative field; equivalent professional experience will be considered. 15+ years of progressive experience in data, analytics, or business intelligence, including 8+ years leading teams and 4+ years managing managers. Demonstrated experience leading an organization of 25 or more people in a large, matrixed enterprise. Strong hands-on foundation in SQL, dimensional modeling, and ELT/ETL design, with production experience on a modern cloud data warehouse or lakehouse (for example Snowflake, Databricks, BigQuery, Redshift, or Synapse) and a transformation framework such as dbt. Experience applying software engineering practices to analytics work, including Git-based workflows, automated testing, and CI/CD. Enterprise-scale leveraging of BI and data visualization platforms such as Domo, Tableau, Power BI, or Looker, including governance, provisioning, adoption, and cost management. Demonstrated ability to participate in driving data governance program covering catalog, lineage, glossary, stewardship, quality, and access, using platforms such as Atlan, Collibra, Alation, or Informatica. Proven track record of delivering jointly with Data Engineering and Product Management, with clear ownership boundaries and shared accountability. Direct experience partnering with Data Science, including operationalizing, visualizing, and monitoring model output for business consumption. Working command of the statistical concepts underlying exception detection, including hypothesis testing, confidence intervals, variance and control limits, seasonality, and forecasting. Experience running a formal intake, prioritization, and capacity planning process for a shared services or platform organization. Excellent executive communication and influence skills, with the ability to operate effectively amid ambiguity and competing priorities. Experience managing budget, vendor contracts, and platform licensing. Preferred Skills: Master's degree or MBA in a related field. Production experience delivering LLM-based analytics: retrieval-augmented generation over governed data, text-to-SQL or conversational BI, semantic layers designed for model consumption, and prompt, evaluation, and cost monitoring frameworks. Experience designing agentic workflows and orchestration for monitoring, investigation, and notification use cases. Hands-on experience with Atlan, Domo, and Tableau specifically. Proficiency in Python or R for prototyping, and familiarity with common statistical and ML libraries and MLOps concepts. Experience deploying anomaly detection at scale, including alert routing, suppression, and fatigue management. Familiarity with data product and data mesh operating models, domain-aligned ownership, and data contracts. Experience operating in an Agile or product operating model at scale, including portfolio, OKR, and roadmap management. Deep experience with the “Silicon Valley” school of Product Management, as exemplified by the “Marty Kagan”-style academic approach a significant plus. Experience leading global or matrixed teams, including offshore or vendor-partnered delivery models. Track record leading a major platform migration, consolidation, or reporting rationalization effort. Demonstrated success attracting, developing, and retaining senior technical talent in a competitive market. Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice (where applicable) for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

Location: Ukraine; Turkey; European Union; Serbia; Georgia Workplace: Remote ABOUT US Ruby Labs is a leading tech company that creates and operates innovative consumer products. We offer a diverse range of opportunities across the health, education, and entertainment industries. Our innovative teams are driving the future of consumer-led products, and we're always looking for passionate individuals to join us. Learn more about our story at: https://rubylabs.com/about-us/ ABOUT THE ROLE We are looking for a Senior UI/UX Engineer to completely own the UI/UX quality of one of our core D2C subscription products. You are the final person responsible for every UI/UX decision that ships: you self-QA all new UI/UX work against a documented standard before it reaches the Managing Director, and you hold the quality bar for the whole product. Working AI-first, you will also take major features from brief to production: exploring design directions, arguing for the chosen one, building it in Next.js and Tailwind CSS, and shipping polished, mobile-first interfaces. The work splits into three parts: full responsibility for all UI/UX on the project, hands-on development of design in code, and UI/UX supervision of team members. When another developer does the work, the quality is still yours: you guide them with concrete direction, review the result, and drive the task to the same standard as your own. Seniority here is measured by the quality and depth of your work. The bar is high and so is the upside - performance here is directly and significantly rewarded, and strong operators take on bigger scope fast. KEY RESPONSIBILITIES - UI/UX Quality Ownership: Own the UI/UX quality of the entire product. Every interface decision that ships is your responsibility, and its standard is yours to define and hold. - UI/UX Supervision: Supervise team members' UI/UX work: set direction, review output, advise on solutions, and drive any task to done at your own quality standard. - Feature Design & Delivery: Own major visual features end to end: brief, design exploration in multiple directions, written rationale, implementation, and final polish. - Design System & Consistency: Own the design system and its documentation. Keep the product visually and behaviourally consistent across every screen, device, and locale. Document the reasoning behind key decisions: the user need, the pattern or research behind it, and the alternatives considered. - AI-Native Design Workflow: Work AI-first: run a disciplined AI workflow from generation to production quality, own the team's shared prompting assets, judge critically when output is ready to ship, and keep the team's tooling ahead of the market. QUALIFICATIONS MUST-HAVE EXPERIENCE - Quality Ownership: Experience as the final quality owner for a product's UI/UX, with sign-off responsibility for what ships. - AI-Native Workflow: Hands-on production experience with AI design and code tools (Claude Code, Cursor, or close equivalents) as the core of your daily workflow, including advanced prompting, and current knowledge of the AI-era UI/UX landscape. - Portfolio: Shipped, live consumer web products with visible craft in the details. Depth of work matters more to us than years of experience. - Front-End Fundamentals: React/Next.js, Tailwind CSS, and TypeScript - enough to implement and refine your own designs in production code. - Design Systems: Experience building or maintaining a design system. - Supervision: Experience guiding other developers' UI/UX work and driving it to shipped quality. LEADERSHIP ATTRIBUTES - Holds a high bar for visual detail - in their own work and the team's - and catches issues before anyone else does - Keeps growing - constantly learns and adopts new tools and techniques - Ambitious - driven to build large-scale products used and seen by millions - Explains design decisions clearly and in writing, grounded in user needs, patterns, or data - Communicates clearly and proactively in a fully remote, async environment Important: This is first and foremost a Product Design / UI/UX role, not a Frontend /Full-stack Engineering role. We are looking for someone with strong product design and UX instincts who can also implement their designs in code. Design thinking, UX quality, and product craft come first; frontend skills are essential for bringing that work to production, but they are not the primary focus of the role. LIFE AT RUBY LABS At Ruby Labs, we move fast, aim high, and expect the same from our team. We’re not here to play small—we’re here to build, grow, and win. That means we look for people who are ambitious, driven, and ready to give their best every single day. This is a place for individuals who thrive under pressure, embrace challenges, and see opportunity in every obstacle. If you’re hungry to achieve, motivated by impact, and want to grow at the speed of your own ambition, Ruby Labs offers the platform to make it happen. Here, effort is matched with reward. We recognize those who go all in and deliver results, and we create space for people who want more—more responsibility, more growth, and more success. #LI-Remote

Задачи: — Встраивать локальную LLM в уже существующий Godot-проект — Настраивать и запускать модель локально под игровые задачи — Проектировать систему управления контекстом и памятью персонажей поверх LLM — Организовывать хранение и передачу данных о героях, событиях и прошлых диалогах — Формировать контекст и промпты под разные игровые ситуации — Контролировать объём контекста и следить за тем, чтобы модель получала только релевантную информацию — Связывать игровое состояние с поведением и репликами NPC — Встраивать ответы LLM в уже готовую диалоговую систему новеллы — Работать с асинхронностью: запросы, ожидание ответа, состояния игры — Обрабатывать ошибки, таймауты и ситуации, когда модель недоступна — Оптимизировать потребление памяти и производительность под 8 ГБ VRAM — Развивать архитектуру интеграции LLM, не ломая существующие системы — Писать инструменты, которые позволят добавлять новых персонажей и сценарии без переписывания ядра — Участвовать в проектировании новых систем, связанных с AI-персонажами Требования: — Коммерческий опыт разработки на Godot / GDScript — Умение разбираться в чужом коде и работать с существующим проектом — Понимание устройства сцен, сигналов, ресурсов и игровых состояний в Godot — Знание принципов работы LLM и локального запуска моделей — Практический опыт интеграции LLM, локальных моделей или AI-сервисов в приложения — Понимание, что «память LLM» — это отдельная система управления контекстом и данными — Умение проектировать хранение и передачу контекста — Осознание ограничений контекстного окна, размера модели и потребления RAM — Опыт работы с асинхронными операциями и обработкой ошибок — Внимательность к edge cases и вопросам стабильности — Готовность самостоятельно осваивать новые инструменты и технологии — Умение находить баланс между качеством решения и его сложностью Будет плюсом: — Опыт работы с локальными LLM — Знакомство с Ollama, llama.cpp, GGUF или похожими инструментами — Опыт quantization и оптимизации моделей — Работа с системами контекста, memory, RAG или аналогичными подходами — Создание AI/NPC-систем в играх — Разработка визуальных новелл, RPG или других сюжетных игр — Работа с диалоговыми системами и ветвлением сюжета — Оптимизация приложений под ограниченное железо — Понимание специфики генеративных моделей и prompt engineering — Проекты или пет-проекты с LLM, которые можно показать Условия: — 37,5 часов в неделю — график планируешь сам — 70 000 ₽ на руки — Выплаты дважды в месяц, стабильно — Полностью удалённая работа без привязки к офису — Новый проект на старте — возможность влиять на архитектуру и ключевые технические решения — Готовая архитектура визуальной новеллы на Godot — начинать с нуля не нужно

Задачи: — Развитие платформы: работа над функционалом, стабильностью и производительностью; — Развитие AI-функционала: LLM-based сценарии, tool calling, RAG, работу с контекстом, кэширование и другие механики; — Разбор сложных production-инцидентов, устранение причин проблем; — Клиентские внедрения: превращение пожеланий клиента в дорожную карту запуска; — Проектирование архитектуры интеграции с инфраструктурой клиента; — Ответственность за техническую часть сложных клиентских запусков от discovery до production; — Менторство junior/middle-разработчиков, помощь с декомпозицией задач, архитектурой и техническими вопросами; — Проведение code review и повышение качества решений команды. Требования: — От 4 лет коммерческого опыта в Python и backend, от 1 года в продуктовой команде; — Уверенные знания asyncio, очередей, кеширования, конкурентности; — Практический опыт создания production-функционала на базе LLM, а не только использование ChatGPT; — Опыт с OpenAI API или другими LLM API; — Знания prompt engineering, tool calling, RAG, caching, context management; — Опыт с embeddings, vector search, agentic workflows; — Навыки тестирования и evals; — Понимание production-проблем: latency, стоимость, rate limits, hallucinations, retries, observability; — Уверенная работа с REST API сторонних сервисов, webhooks и внешними сервисами; — Опыт интеграций с CRM, особенно amoCRM и/или Bitrix24; — Самостоятельность и ownership: умение довести размытую бизнес-задачу до работающего production-решения, видеть системные проблемы и помогать команде расти. Будет плюсом: — Опыт B2B/Enterprise-внедрений, highload и event-driven систем; — Собственные AI-проекты и опыт работы в стартапах. Условия: — Работа в быстрорастущем AI-стартапе; — Влияние на продукт, архитектуру и процессы; — Разнообразные задачи, крупные клиенты и короткий путь от идеи до production; — Быстрый карьерный рост.