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👉🏻 збирати й аналізувати business requirements для AI, automation та digital solutions; 👉🏻 знаходити процеси, де AI або автоматизація можуть принести найбільшу користь;

Location: Almaty, Kazakhstan Workplace: OnSite Why work at Higgsfield AI? Higgsfield AI is the fastest-scaling generative AI company in history, hitting $1B in annual revenue run rate, 40M+ users worldwide, 6M+ generations per day, and powering 430 of Fortune 500 brands. We’re building at the absolute frontier of AI-powered video creation and next-generation creative tools. Joining Higgsfield means becoming part of a high-impact team shaping the future of AI-native experiences, at a company that isn’t just moving fast, but rewriting what fast looks like. What you’ll do - Generate production assets for animation and AI-native film productions: character sheets, locations, props, and key visuals - Keep characters and worlds consistent across angles, poses, wardrobe, and scenes - Build interiors and exteriors that hold up in perspective, scale, and architecture - Retouch, refine, and quality-check every asset before it goes to the team - Keep the asset library organized so everything is easy to find and reuse - Work closely with the creative director and animation team, iterate fast What we’re looking for - Strong image editing and retouching skills, with a background in photography, art direction, production design, or a related field - Broad visual culture across film, art, fashion, architecture, interiors, and product design, with an eye for current trends - Strong eye for lighting, color, composition, perspective, and anatomy - A creative and technical mindset: you structure your work and find the fastest way to a high-quality result - Experience with generative AI or 3D tools is a big plus - Portfolio showing retouching or image work. It matters more than your CV What we offer - Cutting-edge projects at the intersection of film, animation, and GenAI - High creative ownership and a fast team without bureaucracy - Competitive compensation

Location: Almaty, Kazakhstan Workplace: OnSite Why work at Higgsfield AI? Higgsfield AI is the fastest-scaling generative AI company in history, hitting $1B in annual revenue run rate, 40M+ users worldwide, 6M+ generations per day, and powering 430 of Fortune 500 brands. We’re building at the absolute frontier of AI-powered video creation and next-generation creative tools. Joining Higgsfield means becoming part of a high-impact team shaping the future of AI-native experiences, at a company that isn’t just moving fast, but rewriting what fast looks like. What you’ll do - Create shots and scenes for animated and cinematic AI-driven productions using generative video tools - Bring characters to life through acting, emotion, timing, and body language - Keep characters on model and fix what breaks: unnatural motion, inconsistencies, timing issues - Combine AI generation with traditional animation and compositing where needed - Take notes from the creative director with fast turnaround - Help define new AI-integrated animation workflows What we’re looking for - 2+ years of professional experience in animation (2D or 3D) or a degree in animation. A strong showreel matters more than your CV - Solid grasp of animation principles: timing, spacing, weight, arcs, and appeal - Understanding of anatomy and physical motion, with a trained eye for what feels right and what feels off - Experience with 2D or 3D animation software - Drawing, editing, or compositing skills are a plus - Experience with AI video tools is a plus. Openness matters more than expertise What we offer - Cutting-edge projects at the intersection of film, animation, and GenAI - High creative ownership and a fast team without bureaucracy - Competitive compensation

Location: San Francisco, CA • New York, NY • United States Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! We're building the next chapter of AI-native craft and creativity - where craft and technology meet. Our unified platform bridges the gap between AI capabilities and human creativity, and lets professional creatives and designers harness the power of the world’s leading AI models without losing precision, expression, or soul. Together, we’re building tools that help people move faster without sacrificing quality, precision, or craft — a platform where AI supports creativity instead of flattening it. We are looking for Account Executives who are excited to help creative teams explore what’s possible with generative AI. Figma Weave is a startup within Figma, and you will play a key role in winning new business while helping contribute to how our team sells. You will work closely with Figma AEs and cross-functional partners to understand customer needs, demonstrate relevant workflows, and guide opportunities from first conversation through close. This is an opportunity to get hands-on with a fast-evolving product, work with exciting logos as they embrace GenAI, and help shape a growing team. This is a full time role that can be held from one of our US hubs or remotely in the United States. What you’ll do at Figma Weave: Create and manage a pipeline of new business through outbound prospecting, inbound engagement, and Figma AE introductions to consistently exceed sales targets Prioritize your book and time to focus on top priorities amongst change Apply effective discovery and value-selling techniques to uncover business challenges, build relationships with key decision-makers, and connect Weave to customer priorities Partner with your customers through demos to help identify high business priority use-cases and inspire what’s possible in Weave. Build your product knowledge through hands-on use of Weave. Manage proposals, business cases, and negotiations, partnering with legal, procurement, finance, Figma sellers, and security teams to move deals forward Collaborate with customer success and workflow advocates to prepare thoughtful handoffs and identify opportunities for customers to grow with Weave Maintain accurate pipeline and forecasts, share customer feedback, and help develop sales practices and resources as the product and team evolve We’d love to hear from you if you have: 3+ years of experience managing the full sales cycle from high-growth startups to F1000 companies, including prospecting, discovery, negotiation, and close A track record of exceeding sales goals and generating your own pipeline of new business Demonstrated experience using discovery to connect customer challenges to business value Experience learning a technical product and delivering customer demos that explain its value and capabilities Excited by working with other sellers and cross-functional partners to manage customer opportunities and buying processes While it’s not required, it’s an added plus if you also have: Experience working in creative industries and/or selling to creative teams Worked at startup in hypergrowth Familiarity with post-production, VFX, Film, creative workflows, or Figma / Weave itself At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. Pay Transparency Disclosure Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), market demands, and specific work location. Figma offers equity to employees, as well as a competitive package of additional benefits, including health, dental, and vision coverage; retirement benefits with company contributions; parental leave and reproductive or family planning support; mental health and wellness benefits; and paid time off. Figma provides paid sick leave, holidays, and other leave benefits in compliance with applicable federal, state, and local laws, including the requirements of the Washington Minimum Wage Act and related regulations. Exempt employees are eligible for employer‑provided paid flexible PTO in addition to flexible paid sick leave. PTO is subject to manager approval. Additional benefits may include company recharge days, cell phone and home internet reimbursements, and a number of lifestyle spending accounts. Figma also offers sales incentive compensation for most sales roles and an annual bonus plan for eligible non-sales roles. All compensation and benefits are subject to applicable plan terms and may be modified by Figma at any time, consistent with applicable law. Annual Base Salary Range: $125,000 — $135,000 USD At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an equal opportunity workplace - we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status , or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to accommodations-ext@figma.com . These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities. Examples of accommodations include but are not limited to: Holding interviews in an accessible location Enabling closed captioning on video conferencing Ensuring all written communication be compatible with screen readers Changing the mode or format of interviews To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding. By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with Figma's Candidate Privacy Notice . Application limits: To help candidates focus on the opportunities most relevant to their skills and experience, Figma limits the number and frequency of applications. These limits apply to all roles: Candidates may submit up to 5 applications during any rolling 30-day period. Candidates may not reapply to the same role while an application is active or within 90 days of receiving a rejection. Once the applicable days has passed, candidates are welcome to apply again.

Location: Paris ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. ABOUT THE JOB As a Applied AI, Frontier Engineering, Staff, you will build the systems behind some of the hardest problems Mistral takes on. You join our team of engineers in Applied AI. We gravitate towards hard problems, decide how to solve them, and ship fast. You work closely with our customer-facing teams, and what works goes into production with our customers and across the company. When a project needs it, you work directly on customer engagements. We're looking for a strong software engineer who has shipped agentic or GenAI systems to production. You've felt the pain of agents that work in the demo and fall apart on real tasks: tool calls that fail silently, loops that never end, and quality that drifts after launch. That production depth is your edge. You build across the stack, and you'd rather ship a plain UI on a solid foundation than a polished UI on a fragile one. You think like a founder. You start from the customer's problem, not the technology. You measure success by the value you deliver, and you care about building experiences people love to use. You like working at the edge of what AI can do today, and you push past it. Your scope is end to end, from first prototype to production. You help set the standard for how the team builds agents that are reliable, observable, and safe to run against sensitive systems. Security is a big part of where we're heading. If you're drawn to it, that's a strong plus. You might come from security with a real interest in AI engineering, or from AI engineering with a real interest in security. Both paths fit. Curiosity about how systems break, and a habit of learning fast from the people who know the domain, matter. Experience at a security company counts too. WHAT YOU WILL DO - Build AI systems end to end, from first prototype to production. - Design the agent architecture: orchestration, tool use, memory, retrieval, and the interfaces between agents and the systems they act on. - Build across the stack, from backend services and APIs to the interfaces people use to work with agents. - Turn what works for one customer into patterns and platforms that work across many, without rebuilding each time. - Make systems hold up under real load: throughput, latency, cost, and failure recovery are part of the design from the start. - Build security into agents from day one: permissions, sandboxing, prompt-injection defenses, and audit trails for agents that touch sensitive systems. - Build the evaluation loop: task-level evals, tracing, and checks that catch agent failures and quality drift before customers do. - Work with researchers, engineers, and customer-facing teams to turn hard problems into systems people rely on. WHAT WE'RE LOOKING FOR - You have 5+ years building production software, with at least one agentic or GenAI system shipped to production that you ran after launch. - You have full ability to ship across the stack: proficient NodeJS e.g. NextJS/Express/Fastify or similar or Python e.g. FastAPI. You are confident with TypeScript + React/NextJS or similar. Solid beats polished. - You have hands-on depth in agent design: orchestration, tool use, retrieval, evaluation, and the ways agents fail in the real world. - You work autonomously: you find the problem, decide the approach, and own the outcome. - You communicate clearly with technical and non-technical audiences, and are fluent in English. - You ship in increments and are obsessed with time to value - You have product judgment: you learn what users need through customer-facing teams, cut scope hard, and care how the result feels to use. IDEALLY YOU HAVE - Open-source contributions, particularly in agents or LLMs. - Experience deploying and running what you build: Docker, Kubernetes, Terraform, and AWS, GCP, or Azure. - A security background in application, cloud, or AI security, such as prompt injection, securing agents, or supply chain (SBOM, SLSA). If that's you, flag it in your application. - Experience building for security workflows, such as alert triage, threat hunting, or investigation agents, or with SIEM, XDR, or SOAR tooling. HOW WE WORK IN APPLIED AI - We care about people and outputs. - What matters is what you ship, not the time you spend on it - Bureaucracy is where urgency goes to vanish. You talk to whoever you need to talk to. The best idea wins, whether it comes from a principal engineer or someone in their first week. - Always ask why. The best solutions come from deep understanding, not from copying what worked before - We say what we mean. Feedback is direct, timely, and given because we care. - No politics. Low ego, high standards. - We embrace an unstructured environment and find joy in it. WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Location: Paris; London Workplace: Hybrid ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. ABOUT THE JOB As a Applied AI, Frontier Data Engineering, Staff, you will build the systems behind some of the hardest problems Mistral takes on. You join our team of engineers in Applied AI. We gravitate towards hard problems, decide how to solve them, and ship fast. You work closely with our customer-facing teams, and what works goes into production with our customers and across the company. When a project needs it, you work directly on customer engagements. We're looking for a strong software engineer who builds end to end and has shipped ML or GenAI systems to production. You've felt the pain of models that pass every eval and fail on real data, and of quality that drifts after launch. You've also felt the data engineering pain: pipelines that break silently, schemas that change under you, and backfills that take a weekend. Data engineering is your edge. You turn messy, large-scale data into systems that hold up. You think like a founder. You start from the customer's problem, not the technology. You measure success by the value you deliver, and you care about building experiences people love to use. You like working at the edge of what AI can do today, and you push past it. Your scope is end to end, from first prototype to production. Your depth in data architecture helps set the standard for how the team designs and delivers systems. You know lakehouse and data mesh patterns well enough to know when they fit and when they're overkill. You've designed ontologies and data models, and you know that getting them right is as much art as science. WHAT YOU WILL DO - Build AI systems end to end, from first prototype to production. - Design the data architecture underneath them: ingestion, processing, storage, and the data models and ontologies that make messy data usable. - Build distributed pipelines that process large volumes of documents, code, logs, and multimodal content for retrieval, agentic workflows, and fine-tuning. - Turn what works for one customer into patterns and platforms that work across many, without rebuilding each time. - Make systems hold up under real load: throughput, latency, cost, and failure recovery are part of the design from the start. - Build data governance into the systems themselves: ownership, access control, lineage, retention, and privacy for sensitive enterprise data. - Build the evaluation loop: labeling with LLMs and humans, versioned eval datasets, and checks that catch quality drift before customers do. - Set the standard for how the team designs and ships data systems. - Work with researchers, engineers, and customer-facing teams to turn hard problems into systems people rely on. WHAT WE'RE LOOKING FOR - You have full ability to ship across the stack: proficient NodeJS e.g. NextJS/Express/Fastify or similar or Python e.g. FastAPI. You are confident with TypeScript + React/NextJS or similar. Solid beats polished. - You have 5+ years of experience building and running production data-intensive pipelines with distributed processing (for example Spark, Ray, Beam, or Dask) and orchestration tools (for example Airflow, Dagster, or Prefect) with structured and unstructured data. - You have experience with retrieval-augmented generation, agentic use cases, or LLM evaluation, and a clear view of how data quality drives model quality. - You work autonomously: you find the problem, decide the approach, and own the outcome. - You communicate clearly with technical and non-technical audiences, and are fluent in English. - You ship in increments, are obsessed with time to value and are comfortable making and articulating product-technical tradeoffs. IDEALLY YOU HAVE - A passion for graph-based systems (e.g. Neo4j) and ontology design - Hands-on experience building data pipelines for LLM training, fine-tuning, or evaluation, and contributions to open-source projects, particularly in data or LLMs. - Hands-on experience with data governance and privacy requirements (for example GDPR), secure data handling, CI/CD and infrastructure as code, or an affinity for security engineering. HOW WE WORK IN APPLIED AI - We care about people and outputs. - What matters is what you ship, not the time you spend on it - Bureaucracy is where urgency goes to vanish. You talk to whoever you need to talk to. The best idea wins, whether it comes from a principal engineer or someone in their first week. - Always ask why. The best solutions come from deep understanding, not from copying what worked before - We say what we mean. Feedback is direct, timely, and given because we care. - No politics. Low ego, high standards. - We embrace an unstructured environment and find joy in it. WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Location: London, England Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! We’re building the next chapter of AI-native craft and creativity - where craft and technology meet. Our unified platform bridges the gap between AI capabilities and human creativity, and lets professional creatives and designers harness the power of the world’s leading AI models without losing precision, expression, or soul. Together, we’re building tools that help people move faster without sacrificing quality, precision, or craft — a platform where AI supports creativity instead of flattening it. We are looking for Account Executives who are excited to help creative teams explore what’s possible with generative AI. Figma Weave is a startup within Figma, and you will play a key role in winning new business while helping contribute to how our team sells. You will work closely with Figma Account Executives and cross-functional partners to understand customer needs, demonstrate relevant workflows, and guide opportunities from first conversation through close. This is an opportunity to get hands-on with a fast-evolving product, work with exciting logos as they embrace GenAI, and help shape a growing team. This is a full time role that is based in our London hub. What you’ll do at Figma Weave: Create and manage a pipeline of new business through outbound prospecting, inbound engagement, and Figma AE introductions to consistently exceed sales targets Prioritize your book and time to focus on top priorities amongst change Apply effective discovery and value-selling techniques to uncover business challenges, build relationships with key decision-makers, and connect Weave to customer priorities Partner with your customers through demos to help identify high business priority use-cases and inspire what’s possible in Weave. Build your product knowledge through hands-on use of Weave Manage proposals, business cases, and negotiations, partnering with legal, procurement, finance, Figma sellers, and security teams to move deals forward Collaborate with customer success and workflow advocates to prepare thoughtful handoffs and identify opportunities for customers to grow with Weave Maintain accurate pipeline and forecasts, share customer feedback, and help develop sales practices and resources as the product and team evolve We’d love to hear from you if you have: Experience managing the full sales cycle from high-growth startups to F1000 companies, including prospecting, discovery, negotiation, and close A track record of exceeding sales goals and generating your own pipeline of new business Demonstrated experience using discovery to connect customer challenges to business value Experience learning a technical product and delivering customer demos that explain its value and capabilities Excited by working with other sellers and cross-functional partners to manage customer opportunities and buying processes While it’s not required, it’s an added plus if you also have: Experience working in creative industries and/or selling to creative teams Worked at startup in hypergrowth Familiarity with post-production, VFX, Film, creative workflows, or Figma / Weave itself At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an equal opportunity workplace - we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status , or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to accommodations-ext@figma.com . These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities. Examples of accommodations include but are not limited to: Holding interviews in an accessible location Enabling closed captioning on video conferencing Ensuring all written communication be compatible with screen readers Changing the mode or format of interviews To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding. By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with Figma's Candidate Privacy Notice . Application limits: To help candidates focus on the opportunities most relevant to their skills and experience, Figma limits the number and frequency of applications. These limits apply to all roles: Candidates may submit up to 5 applications during any rolling 30-day period. Candidates may not reapply to the same role while an application is active or within 90 days of receiving a rejection. Once the applicable days has passed, candidates are welcome to apply again.

Location: Москва Мы ищем аналитика, которому интересно не просто работать с данными и финансовой оценкой, а создавать новые подходы, превращать их в алгоритмы и видеть, как они становятся частью AI-продукта. Команда развивает AI-агентов для финансовой оценки. Их цель – автономизировать полный цикл оценки бизнес-инициатив: от проектирования и прогнозной оценки до расчёта фактического эффекта и формирования итоговых выводов Ключевая задача - развивать методологию финансовой оценки бизнес-инициатив всех направлений бизнеса Группы и превращать её в tool-ы для AI-агента. Обязанности ### **Чем предстоит заниматься:** * проводить аналитику и разрабатывать методологию фин. оценки * проектировать алгоритмы сбора, обработки и анализа данных и реализовывать их на SQL/Python/Pyspark * описывать бизнес-требования для автоматизации на внутренних платформах * сопровождать разработчиков в процессе автоматизации * проверять и принимать готовые решения * отвечать за то, чтобы идея прошла весь путь от методологии и прототипа до работающего tool-а для AI-агента Требования ### **Мы ждем что, вы:** * имеете опыт работы в сфере финансов / рисков / анализа данных– 3-5 лет * имеете высшее образование в области Экономики/Финансов/Математики/Физики * знаете экономику и корпоративные финансы * знаете математическую статистику, эконометрику, * понимаете принципы A/B-тестирования и альтернативных методов оценки эффектов * уверенно владете SQL и Python, будет плюсом опыт работы со Spark * обладаете знаниями английского языка * имееты навыки работы с GenAI решениями Условия ### **Что мы предлагаем:** * комфортный современный офис на Кутузовском проспекте * ежегодный пересмотр зарплаты, годовую премию * корпоративный спортзал и зоны отдыха * уникальную систему обучения Сбера для профессионального и карьерного развития * расширенный ДМС и льготное страхование для семьи * гибкий дисконт по ипотечному кредиту, равный 1/3 ключевой ставки ЦБ * подписка Прайм с возможностью совместного использования на трёх близких * вознаграждение за рекомендацию друзей в команду Сбера * корпоративную пенсионную программу.

Location: London, United Kingdom Our Global Structure Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team. Deliveroo's Enterprise Systems Engineering team builds and runs the tools our employees use every day: Google Workspace, Slack, Atlassian, identity, and device management. We lean toward building: less "click through the admin console," more writing the automation, integrations, and services that make those platforms work at scale. The team's priorities span a few ongoing areas of work, including: Platform consolidation and integration as Deliveroo continues to grow, including through acquisition. Employee-focused AI tooling that helps people work more efficiently. The communication and collaboration platforms the whole company relies on (Google Workspace, Slack, Atlassian, and similar). Building tools and automation that remove manual work from how the team and company operate. You'll bring real technical strength in one or more of these areas. Some of the work will be clearly scoped; some of it won't be. Working through ambiguous, not-yet-defined problems is part of the role, this is complex, genuinely challenging territory, and a place to learn and grow. You won't be doing that alone: you'll work with senior engineers to break ambiguous problems down, and build your own ability to do that independently over time. It's a hands-on engineering role: you'll be building real pieces of this work yourself, not primarily administering platforms by hand or managing support tickets. What you'll do Take on projects ranging from clearly scoped to genuinely ambiguous, working with senior engineers to break down the harder ones, and growing your own ability to do that over time. Build automation and tooling that removes manual work from how we run our SaaS and identity platforms. Help administer and support platforms such as Google Workspace, Slack, Atlassian, and our identity systems, including day-to-day troubleshooting. Write clear documentation for the work you do, so others can pick it up. Work with teammates, Security, People, and Corporate Development/M&A stakeholders to understand requirements before you build. Use GenAI tools (e.g. Claude, ChatGPT) to automate repeatable parts of your own work, like scripting, research, and documentation. Build technical depth in one or more of the team's core platform areas over time. What you'll need We're looking for someone who can learn our environment and grow into these areas, not someone who's already used every platform in our stack. Solid experience administering and working on projects with enterprise SaaS platforms such as Google Workspace, Slack, Atlassian etc. Experience with identity and SSO systems (e.g. Okta) Software engineering or scripting skills in Python, Go, JavaScript, or other general-purpose languages and experience with the APIs of the team's core platforms above. Proficiency in using AI coding tools (e.g. Claude Code, Codex, Cursor) in the full software development lifecycle, including designing, generating code, testing, monitoring and releasing software. AI is your default way of working, not an add-on. Good to have Familiarity with public cloud platforms (AWS, GCP, or Azure). Exposure to device management/MDM and VDI. Knowledge of data security and identity best practices. Experience troubleshooting browser-based applications. Experience with Google Workspace developer tools (Apps Script, Workspace APIs). Diversity, Equity and Inclusion At Deliveroo, we know that a great workplace reflects the world around us and that true diversity and inclusion make us stronger, more creative, and better at what we do. We’re committed to fostering an environment where everyone can do their best work and feel they belong. We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief. If you have a disability or long-term health condition and need support to apply for one of our roles, or require any reasonable adjustments during the recruitment process, you’ll have the opportunity to let us know once you’ve submitted your application. We’ll share details on how to request support so we can ensure you have a fair and equitable experience. If you’re excited about making a real impact in a fast-moving marketplace and growing your career alongside ambitious, supportive teams, we’d love to hear from you! Beware of recruitment scams: DASH Brands will never ask you to pay money or share sensitive financial information during hiring — learn more about DASH Brands' legitimate recruiting process at careersatdoordash.com/recruitment-scam-awareness .

Location: European Union At Toloka AI we create data that powers leading GenAI models and innovations. We work with frontier labs, big tech, renowned AI startups, enterprises and non-profit research organizations worldwide. We use a combination of Experts + Crowd + Tech Platform to teach AI models to reason and evaluate their efficacy and safety. We have experts in more than 50 different domains - from doctors and lawyers to physicists and engineers - and boast one of the most diverse global crowds, representing over 100 countries and speaking 40+ languages . We are a well-funded startup with an enviable portfolio of clients including Anthropic , Amazon , Microsoft , Poolside , Recraft , and Shopify . Recently, we secured strategic investment led by Bezos Expeditions and Nebius Group with participation from Mikhail Parakhin , CTO of Shopify and board advisor to leading GenAI companies, who now serves as our Chairman of the Board. Our remote-first team is globally distributed around the world: USA , UK , the Netherlands , Serbia , and more. What this role is about (& Project details) Our team builds the systems that detect and stop fraud on the Toloka platform. Fraud here is a moving target: bad actors adapt quickly, test our defenses, and increasingly use automation and LLMs to get around them. The same technologies give us a lot of room for new ideas, and we’re looking for someone to help us stay ahead. You’ll sit at the intersection of analytics and applied ML. You’ll dig into data, find patterns nobody has noticed yet, turn them into hypotheses, and then into working defenses: models and automated pipelines running in production. What you'll actually do Explore data to find new fraud patterns, anomalies, and insights, and to understand how fraudsters operate. Design metrics that show how our protection works, and build dashboards and charts that make them visible. Generate hypotheses from data and test them rigorously. Turn validated hypotheses into production solutions: rules and heuristics, ML models, and LLM-based approaches. Build and maintain data pipelines (SQL, Python, Airflow) that keep our defenses running and up to date. Think like an attacker. Anticipate how a new defense could be bypassed, and design it to hold up from day one. Own your area end to end: from the first insight to a deployed solution and its ongoing monitoring. Help shape anti-fraud rules and policies, including how we define and classify fraud. What we evaluate Analytical thinking. You can frame a vague problem, choose the right metrics, and draw sound conclusions from messy data. Hypothesis-driven approach. You generate ideas from data and know how to test them properly. SQL. You write confident, efficient queries on large datasets (ClickHouse experience is a plus). Python & ML. You can build features, train and evaluate models, and ship them to production. Practical experience with LLMs is a plus. Data pipelines. You have working experience with Airflow or similar orchestration tools. Product sense. You understand the trade-offs of protection: false positives, impact on honest users, and cost. Nice to have, none required Hands-on experience in anti-fraud, trust & safety, risk, or abuse prevention (a big plus). Experience with anomaly detection, graph analysis, or behavioral modeling. Experience applying LLMs to analytical or classification tasks. Experience with Databricks. Experience with crowdsourcing or data annotation platforms. What we can offer You will be part of an international, dynamic environment that drives innovation and sets new standards in the AI and technology sector. Competitive compensation package including base salary , bonus , and ESOP . Flexibility: we offer remote or hybrid employment. You will also design with your manager a workday that works best for you; Paid PTO and benefits will vary depending on location. IT setup and home office allowances. Personal and career development: we support employee’s ambition for professional development and encourage them to implement their ideas in their projects; [Important Notice] Scam Alert Regarding Fake Job Postings It has come to our attention that an individual or group is fraudulently impersonating Toloka to post fake jobs and solicit personal information from applicants.Please be aware: Official Communication: Our recruiting team will only contact you from an official " toloka.ai " email address. We will NEVER use Gmail, Yahoo, Tolokainc, toloka.inc,  or other personal or seemingly business email accounts. Our Process: We will never ask for your bank account details, credit card number, or any fees as part of the application or interview process. Official Listings: All legitimate job openings are posted on our official careers page: https://toloka.ai/careers#job-list What to do: If you see a suspicious job posting or have been contacted by someone you suspect is a scammer, please do not provide any personal information. Instead, report the incident to us directly at security@toloka.ai and report the profile/post to LinkedIn.We are taking this matter very seriously and are working with the appropriate parties to resolve it. Thank you for your vigilance!

О продукте Forecast & Replenishment (FnR) - это самый масштабный проект по цифровой трансформации в цепочке поставок и первый в России проект по созданию и внедрению полностью отечественного ПО в F&R для такого размера бизнеса в офлайн-ритейле. F&R - это высоконагруженная система прогнозирования спроса и формирования заказов, обеспечивающая сквозную end-to-end цепочку – от размещения заказа у поставщика до доставки товара в конкретный магазин. Данная система — это не микросервисы и не монолит. Это отдельные Java-сервисы, масштабирование в которых происходит за счет Apache Ignite. Задачи Выявлять и анализировать требования, определять бизнес-потребности и переводить их в системные требования. Описывать логику работы ПО, бизнес-алгоритмы, интеграции, взаимодействие компонентов системы, требования к обработке и хранению данных. Формировать спецификации, описания процессов, модели данных, API-контракты и другие материалы, необходимые команде для разработки. Декомпозировать бизнес-задачи на отдельные задачи разработки, учитывать зависимости между компонентами и участвовать в оценке трудоёмкости. Проверять соответствие реализованного функционала согласованным требованиям, выявлять расхождения и сопровождать их устранение. Готовить документацию и описания решений, представлять реализованный функционал заказчикам и согласовывать результаты работы. Требования Опыт работы системным аналитиком от 3 лет. Уверенное владение SQL и опыт работы с базами данных. Умение выявлять бизнес-потребности, формализовывать требования и описывать функциональные и нефункциональные требования к ПО. Понимание принципов работы алгоритмов и оценки их сложности. Навыки проектирования моделей данных: построение ER-диаграмм, нормализация данных. Опыт моделирования бизнес-процессов с использованием BPMN, UML и/или DFD. Опыт проектирования API-контрактов по OpenAPI, понимание подхода API First и принципов интеграции систем через REST API, брокеры сообщений и ETL/ELT-процессы. Написание запросов SQL на среднем/высоком уровне, работа с СУБД. Опыт разработки веб-приложений с нуля, работа с Git. Стек: Языки программирования: Backend, Calculation - Java, DE Pipelines - Python, Frontend - JavaScript, Vue БД: PostgreSQL, Clickhouse, H2, Apache Trino, Apache Iceberg Брокеры сообщений: Apache Kafka Распределенные вычисления: Apache Ignite Мониторинг: Prometheus, Micrometer, OpenTelemetry, Grafana Контейнеризация: Kubernetes, Docker Инструменты качества кода: SonarQube, JaCoCo, CheckStyle Условия Трудоустройство в аккредитованную IT‑компанию ДМС со стоматологией и льготными условиями для членов семьи Работу в максимально уютном офисе в центре Москвы (ст. м. Савеловская), в Краснодаре или удаленно из других городов РФ, так же есть офисы в Санкт-Петербурге (ст. м. Балтийская) и в Иннополисе Корпоративные скидки от компании и партнеров, бесплатная подписка Магнит Премиум с повышенным кешбэком по программе лояльности М+ Ежегодная программа признания с ярким праздником и впечатляющим подарком Поддержку в развитии через обучение, конференции и митапы, а также программу для руководителей — Leadership club IT‑комьюнити — среда, где быстрее находишь решения, делишься практиками, пробуешь новые роли и растешь от эксперта в стекe до лидера инициатив Мы являемся партнером Минцифры России по проекту Национальная система подтверждения IT‑компетенций Работа над масштабными продуктами и проектами (Умный магазин, роботизация, беспилотность, GenAI и другое) Социально– психологическая поддержка от >370 специалистов по направлениям: юристы, психологи, врачи, финансовые и ЗОЖ советники

Location: United States Company Intro At Toloka AI we create data that powers leading GenAI models and innovations. We work with frontier labs, big tech, renowned AI startups, enterprises and non-profit research organizations worldwide. We use a combination of Experts + Crowd + Tech Platform to teach AI models to reason and evaluate their efficacy and safety. We have experts in more than 50 different domains—from doctors and lawyers to physicists and engineers—and boast one of the most diverse global crowds, representing over 100 countries and speaking 40+ languages . We are a well-funded startup with an enviable portfolio of clients including Anthropic , Amazon , Microsoft , poolside , Recraft , and Shopify . Recently, we secured strategic investment led by Bezos Expeditions with participation from Mikhail Parakhin , CTO of Shopify and board advisor to leading GenAI companies, who now serves as our Chairman of the Board. Our remote-first team is globally distributed around the world: USA , UK , the Netherlands , Serbia , and more. We are headquartered in Amsterdam. About position We're seeking a Freelance AI Data Project Manager who will join our Delivery team and will build, drive and maintain our client’s solutions. Joining us in this role means you will lead a virtual cross-functional team managing successful project implementation. This involves both client communication and internal coordination. The team consists of talented engineers of different kinds, supply managers and other departments on an ‘as needed’ basis. This is a key role for us to ensure we deliver the best possible experience for our clients and enable us to constantly grow our business. Example Projects SFT (supervised fine tuning) data generation pipeline producing thousands of prompts and completions weekly across several languages and domains of knowledge; Evaluation pipeline helping to estimate LLMs’ responses quality and reaching a throughput of hundred thousands weekly; A red-teaming project helping to collect malicious prompts of different kinds to ensure models’ safety. Key Responsibilities Take ultimate ownership for all delivery team projects, including data quality, delivery timelines, unit economics and overall transparency for stakeholders; Lead a cross-functional delivery team ensuring projects are on track, any issues and risks are highlighted and resolved proactively; Own operations of the delivery team: including internal and external communication, activities planning, posting summaries and status updates, conducting retros etc.; Drive and motivate the team, seek out change to increase the organization’s efficiency; Help roll out improvements to the delivery team focussing on increased adoption and providing feedback for further improvements. Qualifications Experience leading technical cross-functional teams ; Experience managing complex projects including discovery, decomposition, scope planning, implementation and adoption; Client facing experience ; Being generally agile, able to switch quickly to new domains and subjects; Consulting , Tech , Competitors background is a big plus; Good understanding of LLMs and their life cycle in particular; Experience in data generation ; Experience and proactiveness in suggesting process changes is appreciated; Proven experience in the AI space , including working with clients and managing teams or projects at scale. What we can offer Personal and career development: we support employee’s ambition for professional development and encourage them to implement their ideas in their projects; Flexibility: we offer remote or hybrid employment. You will also design with your manager a workday that works best for you; Paid parental leave and sick leave; Medical insurance fully covered for the employee; 25 vacation days per year [Important Notice] Scam Alert Regarding Fake Job Postings It has come to our attention that an individual or group is fraudulently impersonating Toloka to post fake jobs and solicit personal information from applicants.Please be aware: Official Communication: Our recruiting team will only contact you from an official " toloka.ai " email address. We will NEVER use Gmail, Yahoo, Tolokainc, toloka.inc,  or other personal or seemingly business email accounts. Our Process: We will never ask for your bank account details, credit card number, or any fees as part of the application or interview process. Official Listings: All legitimate job openings are posted on our official careers page: https://toloka.ai/careers#job-list What to do: If you see a suspicious job posting or have been contacted by someone you suspect is a scammer, please do not provide any personal information. Instead, report the incident to us directly at security@toloka.ai and report the profile/post to LinkedIn.We are taking this matter very seriously and are working with the appropriate parties to resolve it. Thank you for your vigilance!

Задачи: — руководить проектом от гипотезы до внедрения, включая постановку задач и курирование команды разработки, приёмку результата и тестирование на пользователях; — рассчитывать эффект и бизнес-кейс, согласовывать их с бизнес-заказчиком и экономическим блоком; — сопровождать внедрение GenAI-решений, изменять операционные процессы вместе с бизнес-заказчиками, мониторить приживаемость и фактический эффект; — координировать прохождение ИТ- и ИБ-экспертиз. Требования: — иметь не менее 3 лет опыта в управленческом консалтинге (MBB, Big4) или в подразделениях операционной эффективности промышленных компаний; — обладать сильными аналитическими навыками и опытом оценки экономического эффекта; — иметь глубокую функциональную экспертизу в одном из направлений: ТОиР, горная добыча, запасы, закупки, цепочки поставок; — иметь опыт внедрения изменений в промышленных компаниях, включая доведение решений до результата; — иметь техническое или экономическое образование в топ-вузе (МФТИ, РЭШ, мехмат МГУ и др.); — понимать жизненный цикл разработки ИТ-решений и уметь ставить задачи команде разработки. Условия: — работа в офисе класса А в Москве с возможным гибридным графиком; — возможны краткосрочные командировки на производственные активы компании. Будет преимуществом: — опыт реализации GenAI-решений с измеримым эффектом; — опыт в роли Product Owner.

Проектирование и развитие масштабируемой data-инфраструктуры (batch и streaming пайплайны); ClickHouse (MergeTree), S3 Data Lake, Kafka, Airflow (ETL/ELT);

Location: Germany About Our Client Our client is a global IT consulting and digital engineering company specializing in software development, cloud transformation, data and AI, and digital experience solutions. With an international presence and extensive engineering capabilities, the company supports enterprise clients across multiple industries in designing, developing, and implementing technology-driven business solutions. Our client is expanding its Retail & Consumer Packaged Goods (CPG) practice in the DACH region and is looking for a consultant with deep e-commerce knowledge, technical understanding, and client-facing advisory experience. The Role As a Senior Consultant – Digital Commerce, you will help grow our client's Retail & CPG business by translating business challenges into technology solutions and consulting engagements. This is a hands-on functional consulting role with a strong technical and pre-sales component . You will work closely with senior client stakeholders, sales teams, and technical specialists to shape digital commerce solutions, lead discovery workshops, and support new business opportunities. The ideal candidate understands how different e-commerce platforms and customer-facing technologies work together, can advise clients on the right solutions, and is comfortable collaborating with commercial teams. Key Responsibilities Advise Retail & CPG clients on e-commerce, digital customer experience, personalization, customer data and technology transformation. Translate business requirements into solution concepts, capability roadmaps and target architectures. Lead discovery sessions and solution design workshops with business and IT stakeholders. Advise on the integration of commerce platforms, CDPs, marketing technologies, PIM, OMS and other digital commerce systems. Collaborate with sales and pre-sales teams to identify client opportunities, develop proposals and shape consulting engagements. Stay informed about DACH retail trends, marketplace dynamics, emerging technologies and changing customer expectations. Develop reusable consulting assets, including reference architectures, solution frameworks, demonstrations and go-to-market offerings. Build relationships with senior decision-makers, including CDOs, CMOs, CIOs, and Heads of E-commerce. Collaborate with regional and global technology teams to support the growth of the Retail & CPG practice. Represent the company at client meetings, industry conferences, and relevant networking events. Key Areas of Expertise We are particularly interested in candidates who understand the broader digital commerce ecosystem and how its different technologies connect. Relevant areas include: E-commerce platforms: commercetools, Salesforce Commerce Cloud, SAP Commerce, Adobe Commerce, Shopify Plus, headless and composable commerce. Customer data and CDPs: Salesforce Data Cloud, Adobe Real-Time CDP, Segment, mParticle, Tealium, Bloomreach, first-party data and consent management. Marketing technology and personalization: Braze, Salesforce Marketing Cloud, Klaviyo, Emarsys, Dynamic Yield, Algolia, Optimizely and customer journey optimization. Commerce architecture and integrations: OMS, PIM, DAM, APIs, system integrations, distributed order management and omnichannel fulfillment. Marketplaces and retail media: Amazon, Zalando, Otto, Kaufland, retail media networks, marketplace integrations and D2C business models. Emerging commerce technologies: AI-assisted shopping, conversational commerce, GenAI applications, loyalty solutions and digital customer engagement. Expertise across every platform is not required. What matters most is understanding how these technologies work together and recommending solutions that match clients' business needs. Your Profile At least 5 years of relevant experience in e-commerce or digital commerce , ideally within Retail & CPG. Background in IT consulting, digital transformation, systems integration, technology services, or digital commerce consulting. Technical-functional understanding of e-commerce platforms, system integrations, data flows, and digital customer-facing solutions. Experience working directly with clients, gathering requirements, leading workshops, and developing solution recommendations. Familiarity with pre-sales processes and the ability to collaborate effectively with sales teams. Understanding of the DACH retail and CPG market, including major retailers, marketplace dynamics, digital commerce trends, and GDPR requirements. Ability to communicate complex technology concepts to both business and technical stakeholders. Professional fluency in German and English. Willingness to travel approximately 30–40% across the region. Nice to Have Previous experience within an IT service provider or digital engineering consultancy. Experience in technical pre-sales, proposal development, RFPs, or solution shaping. Existing relationships within the DACH Retail & CPG ecosystem. Experience developing consulting offerings, reference architectures, or reusable technology accelerators. Exposure to cloud platforms, data analytics, AI, and custom application development. Knowledge of retail media, marketplace integrations, pricing and promotion technologies, or loyalty solutions. What Our Client Offers A role combining technology consulting, digital commerce strategy and business development. The opportunity to contribute directly to expanding a Retail & CPG consulting practice in DACH. Collaboration with international engineering, architecture, and technology teams. Exposure to enterprise retail and CPG clients and complex digital transformation projects. Opportunities to shape new consulting offerings and contribute to business growth.

Location: Hong Kong, remote; Australia, remote; China, remote; Singapore, remote; Seoul, remote Workplace: Remote Why work at Higgsfield AI? We're the fastest-scaling generative AI company in history, hitting $1B in annual revenue run rate, 30M+ users worldwide, and powering 390 of Fortune 500 brands. We’re building at the absolute frontier of AI-powered video creation and next-generation creative tools. Joining Higgsfield means becoming part of a high-impact team shaping the future of AI-native experiences, at a company that isn’t just moving fast, but rewriting what fast looks like.   Who we are looking for Everyone at Higgsfield is an A-player. We're looking for teammates who bring: - High energy, strong commercial instincts, and flawless execution. - Ownership and accountability to drive deals end-to-end. - The ability to build trusted relationships with partners, agencies, and enterprise clients. - Resilience in high-pressure situations and an always-on mindset. - A balance of sharp analytical skills and natural people intuition. - Hunger to win and the grit to scale a B2B SaaS business globally. About the role This is the GTM Account Executive role for Asia-Pacific (excluding Japan, which has its own dedicated lead). APAC is a crucial region for Higgsfield, and this role turns its creator and agency demand into agency, brand and enterprise revenue: sourcing and closing the region's first deals yourself and owning the accounts after signature. You work with our Almaty-based GTM team, our US-based Enterprise team, and directly with company leadership. What you will work on - End-to-end sales execution: identify, pitch, negotiate, and close deals with APAC agencies, brands and B2B partners, adapting to how each market buys. - Open the market: build a named-account plan across the region's most ready markets and work it, starting with advertising and creative agencies, consumer brands, production companies, broadcasters and streamers, K-content, gaming and sports media. - Convert platform demand: turn high-usage APAC creators, teams and agencies already on Higgsfield into team and enterprise accounts. - Account management: own relationships post-sale, ensuring adoption, expansion, and long-term success. - Partner routes to market: identify and activate the regional agency networks, telcos and platforms, studios and resellers that are the primary route in across Asia. - Customer success: act as the voice of the APAC customer internally, ensuring feedback flows into product and engineering. - Processes at scale: build the repeatable playbook that the next APAC hires will follow. Your must haves (You don't need to meet every single requirement to be a strong candidate. If you're excellent in a few of these areas and eager to grow, we'd still love to hear from you.) - Revenue track record: demonstrable history of consistently achieving and exceeding multi-million dollar revenue targets, with deals you sourced and closed yourself. - Proven experience in B2B SaaS sales and/or account management with measurable results. - Multi-country APAC experience: you have sold creative, marketing or AI technology in at least three APAC markets with distinct buying cultures. - An existing network of senior buyers in APAC agencies, brands, media or entertainment companies. - Excellent English communication skills, both written and spoken. Korean, Mandarin, Cantonese, Bahasa or Thai is a strong plus. - Strong negotiation, presentation, and closing skills. - Strong analytical skills with the ability to leverage sales data and metrics for decision-making. - Ability to work in a high-growth startup environment. Nice to haves - Big3/Big4 consulting experience or equivalent top-tier professional background is a strong plus. - Experience selling AI, GenAI, or ML products. - Experience in early-stage, fast-scaling startups. - Exposure to upselling, cross-selling, and customer success strategies. - Relationships in K-content, gaming, or broadcaster and streamer ecosystems in Asia. - Existing network of enterprise clients or partners in SaaS/AI ecosystems. The deal - Competitive base salary in USD. - Equity participation through the company's stock option program. - Based in Almaty (on-site; we sponsor and process your work permit, cover your flights, and provide temporary housing while you settle in) or remote in an APAC country, with regular travel across the region and to Almaty. - Our GTM team works six days a week and overlaps with US hours. Expect the same pace wherever you are based. - Full-time position. - Opportunity to become the cornerstone of Higgsfield's APAC sales engine.

Location: Sydney, Australia 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 Partners Solutions Architect on the Applied AI team at Anthropic, you will be a Pre-Sales architect focused on cultivating technical relationships with our Global and Regional System Integrators (GSIs/RSIs), and our cloud partners . You will strengthen our relationships with key partners to accelerate indirect revenue, enable their AI practices, and execute on long-term GTM strategy. Responsibilities: Strategic Technical Partnership : Be a technical thought partner to the Anthropic GTM partnerships team, providing technical expertise to better understand the partner landscape, driving key strategic programs, and identifying opportunities to deepen partner technical capabilities. Embed with GSI and cloud partner technical teams to enable their AI practices, support troubleshooting, evangelize Anthropic in their developer communities, and serve as an escalation point for complex technical issues. Joint Solution Development: Collaborate with partners to identify high value industry-specific GenAI applications, develop joint solutions and codify reference architectures / best practices to accelerate time to deployment Customer Deal Support: Intervene directly to unblock strategic customer deals where partners are the primary delivery vehicle, providing deep technical expertise and solution architecture guidance. Partner Ecosystem & Events : Represent Anthropic at partner events such as GSI customer workshops, summits, and industry conferences. Lead or support partner-specific developer events, hackathons, and technical enablement sessions, especially for technically native communities. Product Feedback: Validate and gather feedback on Anthropic's products and offerings, especially as they relate to partner use cases and deployment patterns, and deliver this feedback to relevant Anthropic teams to inform product roadmap and partner strategy. You may be a good fit if you have: 10+ years of experience in technical customer-facing/partner-facing roles such as Solutions Architect, Sales Engineer, Partner Sales Engineer Track record of successfully partnering with GSIs and/or cloud providers to solve complex technical challenges, from initial solution design through customer delivery Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders to include C-suite executives, engineering & IT teams, and more Strong presentation & technical communication skills with the ability to translate requirements between technical and business stakeholders Experience designing scalable cloud architectures and integrating with enterprise systems Familiarity with common LLM frameworks and tools or a background in machine learning or data science Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities A love of teaching, mentoring, and helping others succeed Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems 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: Bengaluru, India We are looking for a Senior Data QE Engineer with solid experience in ETL testing and data validation, and strong SQL skills. You will design and run data quality tests, validate pipelines end to end, reconcile source and analytical data, and give engineering and business teams evidence for release decisions. You will also automate comparisons in Python, work with Airflow pipeline runs, and use AWS and Grafana to observe pipeline health. You will use an AI coding assistant to analyze data and author SQL, Python, and quality checks, and you will review generated output before it is used. This position is intended for Hyderabad-based candidates who are available to work from the office. The client runs a large application landscape and the analytical datasets behind it. Data moves from PostgreSQL sources on AWS into Snowflake through orchestrated pipelines. Quality for that data is part of delivery: test design, checks on movement and transformation, quality metrics, and practical help when data has to be corrected. Data QE engineers own that hands-on work for data moving from source systems into analytical datasets, from test design through execution, investigation, and release-readiness reporting. Own data quality for data moving from source systems into analytical datasets, from test design through execution, investigation, and reporting. Design, implement, and execute data quality tests, and publish quality metrics and dashboards that producing and consuming groups can use. Validate pipelines end to end, covering movement, transformation, completeness, history, freshness, and compliance. Write reconciliation, drift, and quality SQL on Snowflake layered models (raw, history, silver, and gold), including slowly changing dimensions and merge behavior. Validate PostgreSQL sources with consistent snapshot counts and checks that logical replication kept the expected data. Use logical and physical data models and data contracts to assess downstream impact and set quality coverage. Automate data comparison and reconciliation in Python with pytest, and keep the checks in GitHub. Trigger pipeline runs in Airflow and read task results into the quality verdict. Investigate quality issues and support remediation with the groups that produce and consume the data. Design failover, outage, and volume tests and judge the evidence, including recovery time and recovery point. The platform team executes destructive and chaos tests. Run read-only checks in pre-production and production. Integrate quality checks with CI/CD on GitHub Actions or an equivalent tool. Use AWS and Grafana to observe pipeline health, including CloudWatch metrics, secrets metadata, and container platform state. Check classification, masking, and retention against the stated data rules. Track defects to closure in Jira and keep test cases and results in TestRail. Provide quality evidence, risks, and readiness input for releases. Use an AI coding assistant to analyze data and author SQL, Python, and quality checks, and review generated output before it is used. Senior-level data quality engineering experience in ETL testing and data validation. Strong SQL and Snowflake data-modelling experience, including layered raw, history, silver, and gold models, reconciliation and drift queries, and slowly changing dimensions and merge behavior. Experience with logical and physical data models and with assessing the downstream impact of schema and data-contract changes. Experience validating PostgreSQL sources, including consistent snapshot counts and logical replication. Hands-on Python automation for data comparison and reconciliation, using pytest or an equivalent framework. Experience running and reading orchestrated pipelines in Airflow or an equivalent scheduler. Experience validating data movement, transformation, completeness, history, freshness, and compliance from source systems into analytical datasets. Experience diagnosing data quality issues and supporting remediation. Experience integrating data quality checks with CI/CD using GitHub Actions or equivalent tools. Experience with test management and defect tracking in TestRail and Jira. Working knowledge of AWS and Grafana for pipeline observation, including CloudWatch, secrets management, and container platforms. Experience designing resilience tests and judging evidence for failover, outage, volume, and recovery objectives. Working knowledge of data classification, masking, and retention checks. Experience producing data quality metrics, reports, and dashboards. Experience with risk-based testing in Agile or Kanban teams. Hands-on use of AI coding assistants (Cursor, GitHub Copilot, Claude Code, Codex, or equivalent) to author SQL, Python, and quality checks, with human review of generated output. Ability to communicate clearly with engineering and business stakeholders. Experience providing quality evidence, risks, and readiness input for releases. Experience observing Snowflake Openflow or NiFi connector state well enough to recognize a stalled load. Experience with custom cross-table data quality checks that publish results for dashboarding. Familiarity with GenAI, LLMs, and agentic workflows for maintaining data quality checks. Familiarity with RAG and MCP concepts for QE tooling and for generating test data. Knowledge of AI-driven test optimization and coverage analytics (SeaLights or equivalent). Experience with service virtualization using WireMock or an equivalent tool, so checks can run when a dependency is unavailable. Experience specifying and reviewing dbt tests. Developers author those tests.