Вакансии

Задачи: — Построение семантического слоя для финансовой отчетности, превращая бизнес-логику в надежные наборы данных золотого уровня. — Создание аналитического слоя для маркетинга и роста, обеспечивая самостоятельную отчетность по привлечению, воронкам и эффективности кампаний. — Определение масштабируемости аналитической инженерии в команде, поддержка моделей данных других аналитиков и формирование технических стандартов. Обязанности: — Владение семантическим слоем для финансовой отчетности, обеспечивая единый источник правды для бизнес-метрик. — Владение аналитическим слоем для маркетинга и роста, от моделирования данных до самостоятельной отчетности. — Создание и поддержка моделей dbt (staging, intermediate, marts) с тестами, документацией и переиспользуемыми макросами. — Проектирование масштабируемых моделей данных в слоях Databricks silver и gold с применением размерного моделирования. — Поддержка других аналитиков в оптимизации моделей данных при проблемах с производительностью или надежностью. — Вклад в определение стратегии и стандартов аналитической инженерии по мере роста команды. Требования: — Сильные навыки SQL, включая сложные запросы, оконные функции и оптимизацию запросов на больших данных. — Практический опыт работы с dbt: модели, макросы, тесты, документация и CI. — Опыт размерного моделирования (3NF/Inmon, star schema, anchor modeling). — Опыт построения семантических слоев или поддержания единого источника правды для бизнес-метрик. — Опыт в банковской сфере или финтехе будет плюсом, особенно в моделировании данных для финансовых продуктов. — Уверенность в работе с Git в ELT-воркфлоу. Условия: — Владение и гибкость в работе. — План опционов на акции с четырехлетним вестингом и 25% клиффом после первого года. — Удаленная работа с основными часами сотрудничества с 12:00 до 19:00 по манильскому времени (UTC+8). — Предоставление инструментов и оборудования компанией. — Медицинская страховка для сотрудника и семьи с софинансированием или возмещением, в зависимости от местоположения и политики. — Доступ к внутреннему специалисту по психическому здоровью. — 22 дня отпуска, государственные праздники Филиппин и 15 больничных дней. — Возможности для роста и обмена опытом через внутренние встречи экспертов, внешние конференции, выступления и публикации. — Спонсируемые компанией поездки в Манилу для личных встреч с командой. — Регулярные командные выезды, спортивные мероприятия и события. — Возможность для высокоэффективных команд получить неделю в пляжном доме в Юго-Восточной Азии.

Задачи: — Проектирование ИТ-архитектуры международных проектов и создание единого подхода к запуску ИТ-инфраструктуры в новых странах; — Локализация и интеграция систем: адаптация российских технологических решений под международный контур, интеграция скоринговых инструментов с локальными CRM, учетными базами и внешними продуктами; — Выбор технологического стека: подбор оптимальных решений (CRM, data platforms, cloud-сервисы, BI, ETL) для обеспечения быстрой и системной реализации проектов; — Hands-on подход к разработке: активное участие в работе с кодовой базой, архитектурными ограничениями и сложными интеграциями; — Кросс-функциональное взаимодействие с бизнесом, аналитиками, локальными командами и руководством международного проектного офиса. Требования: — Senior-level специалист с опытом DevOps, построения ИТ-архитектуры и запуска сложных технологических продуктов; — Опыт работы с облачной инфраструктурой, современными SaaS-решениями, Cloud CRM, Databricks, data platforms, API, BI, workflow и интеграционными инструментами; — Самостоятельность, зрелость, hands-on подход и ориентация на бизнес-эффективность, масштабируемость и time-to-market; — Опыт работы с зарубежным ИТ-ландшафтом и запуск продуктов на новых рынках будет преимуществом; — Понимание специфики финансовой инфраструктуры будет преимуществом. Условия: — Возможность полностью удаленной работы из любой точки мира; — Конкурентная оплата труда и прозрачная бонусная система; — Работа с масштабируемыми и высоконагруженными сервисами; — Возможность влиять на международный рост компании и развитие новых направлений бизнеса.

Location: San Francisco Workplace: Hybrid ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE Baseten's Compute org is in hyper growth. As it scales, the systems and workflows that keep supply and demand balanced across our GPU fleet need to get more sophisticated, and this role exists to make sure they do. Compute sits at the center of how Baseten allocates, forecasts, and manages the capacity that powers every customer inference request. The team that supports this work, C3, runs on a mix of internal tooling, manual processes, and systems that haven't fully kept pace with the scale of the problem. This role exists to close that gap. You'll design, build, and ship AI-powered workflows that give the Compute and C3 teams real leverage, automating the manual, repetitive, and error-prone parts of the capacity lifecycle so the team can focus on judgment calls that actually need a human. We want someone who can walk in, audit what exists today, identify what's missing or broken, and start shipping fast. You know when to reach for an existing internal tool and when to build something custom in Claude Code. You think two to three steps ahead about how the thing you build today fits into the broader capacity systems architecture tomorrow. And you bring a point of view on our stack, on what we should be building, and on where AI can do something existing tooling simply can't. RESPONSIBILITIES - Ship AI-powered workflows for Compute and C3: build the agents and automations that give capacity analysts, ops leads, and engineers real leverage, off-loading manual and repetitive work like data pipeline cleanup, migration troubleshooting, and capacity investigation. - Get insights in front of the team: turn fleet utilization, allocation, and demand-forecasting data into the dashboards, alerts, and recommendations that C3 and Compute leadership actually act on. A build isn't done until the team is using it. - Audit the stack and generate your own backlog: Compute runs on a mix of tooling with real overlap and real gaps. Walk in with a point of view, identify what's missing or broken, and prioritize without waiting to be handed a roadmap. - Ship team-productivity workflows fast: triage asks from Supply, Demand, and C3, find the low-hanging fruit, and build it. A good week looks like an ops lead asking for something Monday and having it live by Wednesday. - Know when to go custom: not everything belongs in a point-and-click tool. Spin up bespoke AI-powered solutions in Claude Code when the problem calls for it, and make that call with judgment, not default. - Think in systems, not solutions: every workflow you build has upstream and downstream implications across Supply, Demand, and Engineering. Anticipate them, design for them, and don't create technical debt someone else has to unwind six months later. - Integrate third-party APIs and internal systems to sync events and information across disparate tools: ensuring data flows reliably between C3, the CRM, and the systems Compute depends on every day. - Document what you build: if people can't find it, understand it, or trust it, it doesn't matter how well it works. REQUIREMENTS - 3+ years of experience in AI/automation engineering, workflow automation, or a technical operations role, ideally at a high-growth, AI-native infrastructure or B2B company - You've shipped production agents on Vercel. Build custom internal apps and agents on Vercel, with durable workflows and sandboxed execution, so what you ship runs reliably in production instead of as one-off scripts - Genuine fluency with AI coding assistants and agent tooling (Claude Code, Cursor, Codex, or similar) - Direct experience with a CRM or system-of-record platform (Salesforce or similar) - A track record of owning end-to-end AI and automation workflows - Proficiency with integration and automation platforms (n8n, Zapier, Make, Workato, or similar) and a fundamental understanding of APIs and webhooks - Experience in high-growth technology companies, ideally in infrastructure, cloud, or operations-heavy environments NICE TO HAVE - Familiarity with GPU infrastructure, capacity planning, or fleet management concepts - Comfort building reporting and alerting on a data warehouse (BigQuery, Databricks) and BI layer (Sigma, Hex) — not as a data engineer, but as a consumer and builder on top of the data layer - Experience building with agent platforms (Gumloop, n8n, Notion Agents, etc.) and/or agent frameworks (Vercel AI SDK, Claude Agent SDK, Mastra, etc.) - Experience with high-stakes, operationally complex environments where mistakes have real business impact - Challenging work and exposure to the operational core of a fast-scaling AI infrastructure company BENEFITS - Competitive compensation, including meaningful equity - (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!) - Paid parental leave - Fertility and family-building stipend through Carrot - (U.S. only) Company-facilitated 401(k) - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).

Location: San Francisco, CA Workplace: OnSite ABOUT US Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia. We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do. Sierra was co-founded by Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/ who first met while working together at Google over 20 years ago. Bret currently serves as Chairman of the Board of Open AI. Previously, he was co-CEO of Salesforce and CTO of Facebook. Clay spent 18 years at Google, where he most recently led Google Labs. WHAT YOU'LL DO: - Drive partner activation through onboarding, enablement, certification, governance, and operational support programs that help product, strategic, and channel partners become productive quickly. - Build and continuously improve the systems, playbooks, processes, and partner-facing resources that enable Sierra’s partnership ecosystem to scale, including onboarding guides, enablement content, FAQs, and operational documentation. - Coordinate cross-functional execution across Product, Engineering, Sales, Solutions Engineering, Customer Success, Marketing, Legal, GTM Operations, and Partnerships to support product launches, technology integrations, joint GTM programs, co-sell motions, and strategic initiatives. - Plan and execute ongoing partner engagement and governance, including enablement sessions, webinars, QBRs, executive business reviews, newsletters, office hours, partner events, and ongoing partnership management. - Build reporting and use data to improve partnership health, tracking partner activation, engagement, pipeline contribution, partner-influenced revenue, and overall performance while identifying friction and continuously improving how Sierra launches, activates, and scales partnerships. WHAT YOU'LL BRING: - 6+ years of experience in partnership management, partner programs, partner success, ecosystem operations, program management, or a related function within an enterprise SaaS company. - Experience launching, activating, and scaling strategic partnerships, including partner onboarding, enablement, certification, joint GTM execution, technology launches, and ongoing partner success. - Strong cross-functional operator with experience influencing Product, Engineering, GTM, Customer Success, Marketing, Legal, and external partners without direct authority, and exceptional organizational, communication, analytical, and project management skills. - Comfortable with APIs, integrations, and technical product concepts, with the ability to collaborate closely with technical teams without needing to be an engineer. - Fluent with modern AI tools and workflows, actively using AI to improve your work and understanding how AI is changing enterprise software, customer engagement, and partnership models; thrives in ambiguity and enjoys turning strategy into repeatable execution. EVEN BETTER... - Experience supporting and scaling strategic partnership programs across product and technology partnerships, cloud ecosystems, systems integrators, strategic alliances, or channel networks, ideally in a high-growth global environment. - Experience working across enterprise software ecosystems and partners such as AWS, Google Cloud, Microsoft, Salesforce, ServiceNow, Stripe, Twilio, Snowflake, Databricks, or large global systems integrators, with familiarity across PRM, CRM, partner enablement, learning management, and collaboration platforms. - Technical and AI ecosystem experience, including AI platforms, developer tools, or enterprise software, with prior software development, solutions engineering, or technical implementation experience a plus. OUR VALUES - Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work. - Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it. - Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve. - Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time. - Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements. WHAT WE OFFER We want our benefits to reflect our values and offer the following to full-time employees: - Flexible (unlimited) paid time off - Medical, dental, and vision benefits for you and your family - Life insurance and disability benefits - Retirement plan dependent on country of employment - Parental leave - Fertility and family building benefits - Lunch, as well as delicious snacks and coffee to keep you energized when working onsite - Discretionary benefit stipend giving people the ability to spend where it matters most - Free alphorn lessons These benefits are further detailed in Sierra's policies, may vary by region and employment type, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies. BE YOU, WITH US We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply through the link on this page even if your experience doesn't precisely match the job description. Sierra is a proud equal opportunity employer. All qualified applicants will receive consideration for employment without regard to any characteristic protected by applicable federal, state or local laws, including veteran status and disability status. Hiring decisions are made by people, based on merit. If you need a reasonable accommodation for a disability, a religious practice, pregnancy or any related condition at any point in the application or interview process, contact us at accommodations@sierra.ai. Requests are handled confidentially and do not affect your candidacy. We will consider qualified applicants with arrest and conviction records in accordance with applicable fair chance laws.

Location: Amsterdam; Spain Workplace: remote Senior Reconciliation Analyst (Fixed-Term Cover) About the Role Our Reconciliation team makes sure that every euro our clients see in their balances is actually backed by cash in the bank — and right now, we need an experienced Senior Reconciliation Analyst to join us on a fixed-term basis to cover a period of maternity leave. This is a hands-on, high-impact role at the heart of our payment operations. You'll own the day-to-day routine of monitoring reconciliation breaks, investigating discrepancies, and working closely with engineering and banking partners to keep everything balanced. It's a fast-moving environment where priorities can shift daily, so we're looking for someone who thrives on structure one day and adapts the next. While the core focus is routine reconciliation, there's real room to get involved in automation projects once you're up to speed — and this role can also be a strong stepping stone into other teams at the company longer-term. A Bit About the Team Our Reconciliation team is small but mighty — every analyst is expected to think like an owner, gradually automating routine work while keeping the core process rock-solid. It's a team that values flexibility (fully remote, outcome-focused — we care that the job gets done, not what hours you keep) and gives people real autonomy once the fundamentals are covered. If you enjoy solving problems that sit right at the intersection of data and payments, you'll fit right in here. About the Role Our Reconciliation team makes sure that every euro our clients see in their balances is actually backed by cash in the bank — and right now, we need an experienced Senior Reconciliation Analyst to join us on a fixed-term basis to cover a period of maternity leave. This is a hands-on, high-impact role at the heart of our payment operations. You'll own the day-to-day routine of monitoring reconciliation breaks, investigating discrepancies, and working closely with engineering and banking partners to keep everything balanced. It's a fast-moving environment where priorities can shift daily, so we're looking for someone who thrives on structure one day and adapts the next. While the core focus is routine reconciliation, there's real room to get involved in automation projects once you're up to speed — and this role can also be a strong stepping stone into other teams at the company longer-term. What You Will Be Doing Own daily reconciliation monitoring — checking that cash held in the bank matches client balances in our systems, and flagging and investigating any breaks or mismatches as they arise Resolve reconciliation breaks end-to-end — determining whether an issue is internal (looping in engineering) or external (liaising directly with banks and third-party payment providers) and driving it to resolution Maintain reporting and month-end close — supporting vendor reporting, regulatory reporting, and other recurring reporting cycles with a high level of accuracy Work across data tools — using Excel alongside data visualization tools (Databricks, Metabase, or similar — Tableau/Power BI experience also welcome) to monitor and track reconciliation data Contribute to automation — gradually helping automate manual reconciliation processes using AI and other tools, reducing reliance on spreadsheets over time Handle occasional manual money transfers — with the accuracy and attention to detail this requires Manage stakeholders across the business — working with engineering, treasury, and external banking partners to keep processes running smoothly Who You Are You have hands-on experience in reconciliation, payment operations, or treasury operations (e.g. as a reconciliation specialist, payment analyst, or accountant with reconciliation exposure) You're comfortable with Excel and have some experience with data visualization/BI tools (Databricks, Metabase, Tableau, Power BI, or similar) You have a working understanding of payment schemes and how money moves between banks and internal systems — you know who to go to when something doesn't add up You're diligent and detail-oriented, especially when it comes to handling money movements You're used to fast-paced, frequently changing environments and can adapt when processes shift — this isn't a role with a fixed rulebook You have strong stakeholder management skills and are confident communicating with both internal teams and external partners (e.g. banks) You're able to start immediately or on very short notice You're open to a fixed-term contract (~5 months, with a real possibility of extension depending on business needs) Nice to Have Experience working at a neobank or fintech (e.g. N26 or similar) — you'll likely need less ramp-up time in a high-change environment A mathematical or quantitative background Prior experience helping build or improve automations within a reconciliation or payments workflow Basic SQL or data analysis skills

Client: A global online sports betting company dedicated to building world-class technology products. Position overview: An experienced Automation Engineer in Test reporting directly to the Test Manager, working in a small agile team alongside SEITs, DevOps Engineers, and Data Engineers to ensure high-quality delivery. Responsibilities: — Design, build, and maintain data and reporting solutions using modern technologies. — Test and develop Integration layer changes, ensuring user stories meet quality standards. — Develop and maintain automated test frameworks for ETL, Big Data, API, and database validations. — Perform comprehensive test analysis and collaborate across cross-functional Agile teams. Requirements: — 3+ years of demonstrated experience with validation in Databricks. — In-depth experience in developing and maintaining automated test suites. — Proficiency in Python (preferred) and SQL. — Hands-on expertise with key test frameworks (BDD, Hybrid, PyTest, Allure). — Strong skills in Database, ETL, Big Data, and API validations. — Experience with CI/CD tools (Jenkins, GitHub Actions) and source control (Git). — Familiarity with AWS infrastructure and storage technologies (AWS, Databricks, S3, DynamoDB, Delta Lake, SQL). — Solid background in Agile ways of working. Nice to have: — Experience with streaming technologies (AWS Kinesis, Apache Kafka, Amazon MSK). — Familiarity with direct query engines (AWS Athena, Presto, Databricks SQL). — Experience using Jira and XRAY for test management. — Exposure to monitoring tools (Prometheus, Alert Manager, Grafana Loki). What We Offer: — Vacation days: Up to 26 business days per year. — 10 illness/special days off per year (fully paid, no medical papers needed) for all contract types. — Health and life insurance (Luxmed). — MyBenefit platform with Multisport option. — Internal psychological support service. — English language classes from the first working day. — Access to external learning platforms: O’Reilly, LinkedIn Learning, Udemy, and a wide catalog of diverse internal training. — Flexible workplace: work from the office, from home, or choose a hybrid option. — Tech Skills Mentoring Program. — Opportunities to develop as a public speaker, mentor, or technical interviewer. — Fully paid idle (bench) when not involved in a project. — Certification reimbursement (AWS, GCP, Microsoft, etc.).

Location: London, England, United Kingdom About Us Fanatics is building a leading global digital sports platform. We ignite the passions of global sports fans and maximize the presence and reach for our hundreds of sports partners globally by offering products and services across Fanatics Commerce, Fanatics Collectibles, and Fanatics Betting & Gaming, allowing sports fans to Buy, Collect, and Bet. Through the Fanatics platform, sports fans can buy licensed fan gear, jerseys, lifestyle and streetwear products, headwear, and hardgoods; collect physical and digital trading cards, sports memorabilia, and other digital assets; and bet as the company builds its Sportsbook and iGaming platform. Fanatics has an established database of over 100 million global sports fans; a global partner network with approximately 900 sports properties, including major national and international professional sports leagues, players associations, teams, colleges, college conferences and retail partners, 2,500 athletes and celebrities, and 200 exclusive athletes; and over 2,000 retail locations, including its Lids retail stores. Our more than 22,000 employees are committed to relentlessly enhancing the fan experience and delighting sports fans globally. Software Engineer III - Data - FMX United Kingdom About Us Fanatics is building a leading global digital sports platform. We ignite the passions of global sports fans and maximize the presence and reach for our hundreds of sports partners globally by offering products and services across Fanatics Commerce, Fanatics Collectibles, and Fanatics Betting & Gaming, allowing sports fans to Buy, Collect, and Bet. Through the Fanatics platform, sports fans can buy licensed fan gear, jerseys, lifestyle and streetwear products, headwear, and hardgoods; collect physical and digital trading cards, sports memorabilia, and other digital assets; and bet as the company builds its Sportsbook and iGaming platform. Fanatics has an established database of over 100 million global sports fans; a global partner network with approximately 900 sports properties, including major national and international professional sports leagues, players associations, teams, colleges, college conferences and retail partners, 2,500 athletes and celebrities, and 200 exclusive athletes; and over 2,000 retail locations, including its Lids retail stores. Our more than 22,000 employees are committed to relentlessly enhancing the fan experience and delighting sports fans globally. Data Engineer III About the Role We're looking for a Data Engineer III to join our Data Engineering team, which builds and governs the data foundation that powers the business. You'll work within our stack — Python ingestion pipelines, Airflow orchestration, and Snowflake/Databricks — helping move data reliably and securely from source to decision-ready output. You'll implement features and fixes against a given design, handle known classes of pipeline issues on your own, and escalate genuinely novel problems with clear context rather than working them in isolation. You're also expected to start contributing meaningfully in code review — catching real bugs, not just style nits. What You'll Do Implement new ingestion sources end-to-end against a senior engineer's design — connector code, DAG, schema, monitoring, and catalog registration — extending the team's existing framework where a new source needs a pattern it doesn't yet support Investigate pipeline failures independently, recognize known classes of issues, and ship the documented fix without needing to escalate Before shipping a new pipeline, identify downstream consumers and what would break if data were late or wrong, and flag gaps like this during spec review — before writing code Write clear handovers when escalating a genuinely unresolved issue — what you tried, what you ruled out, and where things diverge — so a senior can pick up without re-discovery Review peers' pipeline PRs and catch non-obvious issues (e.g., missing idempotency checks, race conditions) that could cause incorrect downstream data Turn ambiguous "why is this data wrong?" questions into structured investigations — tracing data lineage from source to warehouse and communicating back what you found Surface concerns in spec review as specific, well-reasoned questions rather than staying silent or blocking progress Support data security and governance work (e.g., PII masking, access controls) and contribute to data delivery work, including reverse ETL integrations Build strong working relationships with internal stakeholders and help scope and clarify requirements for new work Mentor DE2s on their first significant projects — pairing on tricky decisions and helping them apply team conventions What We're Looking For 3–5 years of professional software or data engineering experience Strong SQL and Python skills, with solid experience building and operating production data pipelines Comfort investigating and root-causing pipeline issues independently before escalating Experience with workflow orchestration tools (Airflow or similar) and a cloud data warehouse/lakehouse (Snowflake, Databricks, or similar) Solid understanding of data pipeline concepts: idempotency, schema evolution, backfills, and data quality/testing Experience giving substantive code review feedback, not just style or formatting comments Strong communication skills — can write a clear technical handover, ask sharp questions in spec review, and explain a data lineage investigation to a non-technical stakeholder A track record of taking ownership of known-class problems end-to-end rather than needing step-by-step direction Nice to Have Experience extending or building reusable pipeline frameworks/templates Exposure to reverse ETL tools or patterns, PII masking, or data access governance (RBAC) Exposure to observability/monitoring tooling (e.g., Datadog) for pipeline health and alerting Some experience mentoring or informally supporting more junior engineers Background in gaming, betting, e-commerce, or another regulated/high-compliance industry Why Join Us Real ownership over known-class problems, with senior/staff support available for the genuinely novel ones Work on high-visibility, high-trust systems that the business depends on A culture built around clear tenets: standardize before you scale, own the outcome (not just the ticket), and clarity over complexity Clear growth path into Senior Data Engineer, with room to start mentoring and shaping team practices along the way By submitting your application, you agree to our terms of service and acknowledge you have read our Candidate Privacy Policy. Fanatics will never ask candidates for money, banking information, or other sensitive personal information as part of the interview process. If you receive a suspicious message claiming to be from Fanatics recruiting, please do not respond and report it here .

Location: Kazakhstan; Kyrgyzstan; Uzbekistan Workplace: Hybrid Salmon is a technology-driven financial company building a banking and lending platform across Southeast Asia, starting in the Philippines. We combine global fintech expertise with deep local market knowledge to make financial services simple, accessible, and useful for millions of people across the region. 7M+ app downloads. 2M+ monthly active users. 7,000+ partner stores. US$310M+ raised from leading global investors. Manila-based, globally distributed, and hybrid-first — our team spans 45+ countries. If you want to solve complex problems at scale and impact how millions of people access and manage money, come build with us. Southeast Asia's fintech moment starts here. About the role: You'll build the analytics layer for Finance and Marketing & Growth — two areas that only get partial coverage today — and help shape how analytics engineering scales as the team and data volume grow. What you'll do: - Build the semantic layer that powers Finance's financial reporting, turning business logic into reliable, gold-layer datasets. - Build the analytics layer for Marketing & Growth, enabling self-service reporting on acquisition, funnels, and campaign performance. - Help define how analytics engineering scales across the team — supporting other analysts' data models and shaping technical standards. What you'll own: - Own the semantic layer for financial reporting, ensuring one consistent source of truth for business metrics. - Own the analytics layer for Marketing & Growth, from data modeling to self-service reporting. - Build and maintain dbt models (staging, intermediate, marts) with tests, documentation, and reusable macros. - Design scalable data models in Databricks silver and gold layers, applying dimensional modeling. - Support other analysts across the data team, optimizing self-built data models when performance or reliability issues come up. - Contribute to defining the strategy and standards for analytics engineering as it grows. What makes you a strong fit: - 5+ years of experience in analytics engineering, including Senior or Tech Lead level work: setting technical standards and supporting other analysts - Readiness to relocate to Manila or travel there regularly for in-person work with the team - Strong SQL expertise, including complex queries, window functions, and query optimization on large datasets - Hands-on experience with dbt — models, macros, tests, documentation, and CI workflows - Strong dimensional modeling experience (3NF/Inmon, star schema, or anchor modeling) - Experience building semantic layers or maintaining a single source of truth for business metrics - Experience in banking or fintech is a plus, especially data modeling for financial products - Comfortable working in Git-based ELT workflows What we offer: Ownership and flexibility - Stock option plan — four-year vesting with a 25% cliff after the first year - Relocation to Manila or remote work from a GMT+5 time zone, with business trips to Manila - Company-provided tools and equipment Health and time off - Medical insurance support for you and your family through co-funding or reimbursement, depending on your location and subject to policy limits - Access to an internal mental health support specialist - 22 vacation days, Philippine public holidays, and 15 sick days Growth and team experience - Opportunities to learn and share your expertise through internal expert meetups, external conferences, speaking opportunities, and industry publications - Company-sponsored trips to Manila to meet and work with your team in person - Regular team offsites, sports activities, and team events - High-performing teams can earn a dedicated beach house week in Southeast Asia We believe strong teams are built by people with different backgrounds, experiences, and points of view. Salmon is an equal opportunity employer, and we make hiring decisions based on skills, experience, and potential.

Location: San Francisco Workplace: Hybrid ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE We’re hiring a Data Scientist to help build and scale our internal analytics capabilities. This is a foundational role where you’ll create dashboards, models and insights to power business and product teams alike. You’ll collect requirements, define key metrics, and deliver recommendations directly to stakeholders. You'll define what success looks like across a technical, usage-based platform and turn ambiguous questions into analyses, forecasts, and experiments that shape Baseten’s product and strategy. RESPONSIBILITIES - Build and maintain production-grade models and dashboards across multiple functions with a focus on accuracy, simplicity and user experience. - Define and instrument core metrics around capacity, availability, ROI, product adoption, revenue and costs. - Ingest and transform raw data using tools like dbt, Airbyte, and Databricks. - Partner with Engineering, Finance, Marketing, and Sales teams to understand goals and translate them into data solutions - Analyze product, operational and commercial data to identify opportunities, quantify tradeoffs, and influence product and GTM priorities. - Present findings and recommendations to technical and nontechnical audiences, including company leaders. REQUIREMENTS - 5+ years of experience in analytics, BI, or data engineering roles - Strong SQL skills with the ability to write complex queries for data transformation and analysis - Experience designing medallion data architectures, including raw, conformed, and business-ready models with testing, documentation, and lineage. - Excellent communication skills and a collaborative approach to working with cross-functional teams - Demonstrated ability to explain complex work and make clear recommendations to technical and business audiences. NICE TO HAVE - Experience with AI infrastructure, developer platforms, or inference. - Hands-on forecasting expertise, including ARIMA, Prophet, or comparable time-series methods, with disciplined backtesting, error analysis, and scenario planning. - Working knowledge of model-serving and training workflows and the infrastructure metrics that shape performance and cost. - Practical experimentation experience, including test design, power analysis and knowing when directional evidence is sufficient to act. BENEFITS - Competitive compensation, including meaningful equity - (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!) - Paid parental leave - Fertility and family-building stipend through Carrot - (U.S. only) Company-facilitated 401(k) - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).

Location: Belgrade; London; Berlin Workplace: Hybrid Perplexity is looking for an experienced analyst to help us build and improve our core search technologies. You'll work at the intersection of data analysis and engineering - designing metrics, building data pipelines, and improving the quality of our search and answer systems. This role is hybrid in Belgrade, London or Berlin. Responsibilities - Find and diagnose quality issues in our search pipeline - Design metrics from scratch to track and measure search quality - Build datasets for model training, including LLM-as-a-judge labeling pipelines - Improve search snippet quality and page selection algorithms for indexing - Design and analyze A/B experiments to validate improvements Qualifications - 4+ years of experience as a data analyst or in a related role - Strong coding skills — expected to write production-grade code at a mid-level backend engineer level - Proficiency with SQL and Python - Demonstrated hands-on experience with at least one of the following: - Designing metrics from scratch (not just analyzing existing A/B experiments) - Building labeling pipelines using LLM-as-a-judge - Training ML models that shipped to production with measurable metric improvements - Designing evals with known ground truth (e.g. SimpleQA, BrowseComp) or driving meaningful improvements on such evals Nice to have - Experience working on search-related products - Knowledge of statistics and A/B experiment design - Experience with Apache Spark or Databricks

Location: Hyderabad, India Location: India (100% Remote / Flexible) Contract Type: Full-Time / Enterprise Project Engagement About Xenon7 Where elite tech talent meets world-class opportunities! At Xenon7, we work with leading enterprise clients and innovative startups on high-impact projects across Data, AI, Cloud, and Software Engineering. Our expertise in AI solution architecture and specialized technical talent allows us to partner with enterprise leaders on transformative initiatives, driving innovation and business growth. Job Summary We are seeking a high-caliber Forward Deployment Engineer (FDE) to sit at the intersection of enterprise AI platforms and executive Finance business functions for our Fortune 100 enterprise client. This role bridges advanced AI platform engineering with direct business impact—translating ambiguous financial challenges into working AI applications, deploying them into regulated client environments, and iterating in tight loops to drive measurable ROI. Rather than building static models or waiting for formal spec sheets, you will operate as a product-minded technical lead. You will prototype user-facing tools in days, deploy agentic and RAG workflows on top of enterprise data stacks (Databricks Genie), and ensure high adoption across FP&A, Controllership, Treasury, and CFO leadership. Key Responsibilities End-to-End AI Application Prototyping & Delivery Own the full lifecycle of AI solutions for Finance business units—from initial discovery with CFO stakeholders to production deployment, user adoption, and ROI measurement. Rapidly prototype vertical applications using Streamlit, Databricks Apps, FastAPI/Flask, or lightweight React interfaces within 1–2 weeks to gather real user feedback. Handle "last mile" execution: edge cases, data quirks, business rule exceptions, and user training to turn prototypes into sticky enterprise products. Agentic Systems & LLM Engineering Build production-grade vertical AI tools leveraging Databricks Genie (Genie Spaces, semantic models). Construct robust RAG pipelines incorporating advanced chunking, vector databases (Pinecone, Chroma, FAISS, Azure AI Search, Cortex Search), retrieval evaluation, grounding, and citation. Implement LLM orchestration frameworks (LangChain, LangGraph, LlamaIndex) and apply rigorous prompt engineering with hallucination and accuracy evaluation discipline. Enterprise Data & Regulated Integration Deploy applications inside heavily regulated enterprise environments, adhering strictly to RBAC, data residency, audit, and compliance constraints (SOX, GxP). Connect solutions to governed datasets, semantic models, and core enterprise platforms (SAP, Workday, Coupa, ERP) via secure REST APIs. Instrument all deployed apps with usage metrics, telemetry, and business outcome tracking from day one. Strategic Stakeholder Advisory & Pattern Extraction Work directly with senior Finance leadership (CFO office, FP&A, Controllership) to translate ambiguous operational friction into crisp technical roadmaps. Extract reusable code components, prompt templates, evaluation harnesses, and retrieval patterns into shared enterprise assets for broader deployment. Requirements Experience & Mindset Experience: 5+ years of hands-on software development and full-stack AI application deployment. Product-Shaped Builder: Strong bias for action; comfortable shipping rough prototypes in Week 1 over polished spec documents in Week 4. Ambiguity Tolerance: Proven ability to navigate vague business problems without predefined specifications. Stakeholder Communication: Outstanding ability to interface directly with senior business leaders without requiring intermediary Business Analysts. Must-Have Technical Stack Languages & Frameworks: Python, FastAPI/Flask, SQL, and UI frameworks (Streamlit, Databricks Apps, React). AI Platforms: Direct hands-on experience with Databricks Genie . LLM Engineering: Production experience with LangChain, LangGraph, LlamaIndex, vector search engines, and prompt evaluation harnesses. Cloud & DevOps: Deep working knowledge of Cloud platforms (Azure preferred, AWS/GCP acceptable), modern Git workflows, CI/CD, and basic MLOps awareness (observability, versioning via LangSmith, Datadog, etc.). Domain Competency (Finance Focus) Solid foundational understanding of core Finance business processes (FP&A, order-to-cash, procure-to-pay, record-to-report, close cycles) and common financial metrics (OPEX, EBITDA, gross margin, working capital). Nice-to-Haves & Certifications Prior FDE, Solutions Engineer, or Field Engineer experience at high-growth AI/Data companies (Palantir, Databricks, OpenAI, Anthropic). Industry background in Life Sciences, Pharma, Healthcare, or CPG enterprise Finance. Experience with enterprise Finance software (SAP S/4HANA, Veeva, Workday Adaptive, Oracle Financials). Certifications: Databricks Certified, or Azure AI Engineer Associate (AI-102). What This Role Is NOT Not a pure Data Scientist or ML Researcher: You will not be training or fine-tuning foundation models from scratch; you are applying existing models to business problems. Not a non-coding Architect: This is a 100% hands-on builder role. Not a pure Backend or MLOps Engineer: You must be comfortable owning the user-facing interface and direct business interaction.

Location: Sydney, New South Wales, Australia, APAC From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About Us Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites. About the role: We're hiring a Business Development Representative to join our Sydney office and help accelerate pipeline generation across our Commercial and Enterprise business segments. This is a full-time position based out of our Sydney office. Our hybrid work model offers a blend of remote flexibility and in-person collaboration, including two-three days in the office each week to connect and build as a team. As a BDR you’ll partner closely with Sales Directors to identify and engage target accounts, multi-thread into strategic organizations, and generate qualified pipeline through personalized outreach across phone, email, LinkedIn, and video. You’ll work directly with modern data leaders and technical buyers at fast-growing and enterprise organizations evaluating cloud data infrastructure, analytics modernization, AI initiatives, and data integration strategies. Technologies You’ll Use Salesforce, Outreach, LinkedIn Sales Navigator, ZoomInfo, Lusha, Nooks, ChatGPT and AI prospecting tools, Gong, Google Workspace, Slack, Vidyard / Loom In this role, you can expect to: Generate qualified pipeline through outbound prospecting across target accounts Research accounts, industries, and personas to craft personalized outreach Partner closely with Sales Directors to build account strategies and prioritize opportunities Execute multi-channel outbound campaigns using phone, email, LinkedIn, and video Conduct discovery conversations to uncover business challenges, technical pain points, and initiatives Engage data, analytics, engineering, IT, RevOps, and executive personas Maintain accurate activity, contact, and opportunity data within Salesforce Collaborate cross-functionally with Marketing, Partnerships, and Sales leadership Leverage AI tools and sales technologies to improve prospecting efficiency and messaging quality Consistently achieve and exceed activity, meeting generation, and pipeline target You are a good fit if you: 9+ months of experience in SaaS, cloud, infrastructure, or technology sales development Strong written and verbal communication skills with the ability to engage technical and business stakeholders Ability to learn and articulate technical concepts related to data, analytics, cloud, and AI infrastructure Experience with outbound prospecting and multi-threaded account engagement Strong organizational skills and ability to manage multiple accounts and priorities simultaneously Comfortable using AI tools such as ChatGPT or sales engagement platforms to improve research, messaging, and productivity Coachable, curious, resilient, and motivated by a high-performance sales environment Fluent in English. Bonus points if you're bilingual You'll have an edge if: Experience selling into data, analytics, engineering, or IT organizations Familiarity with modern data stack technologies such as Snowflake, Databricks, dbt, or cloud data warehouses Experience using Outreach, Sales Navigator, ZoomInfo, or Gong Previous experience working in a high-growth SaaS environment Demonstrated success exceeding outbound pipeline generation targets Compensation & Benefits: Salary: We offer competitive compensation packages commensurate with experience, including salary, equity, and performance-based pay. Our Talent Acquisition Team can answer questions around dbt Lab’s total rewards during your interview process. Equity StakeBenefits - dbt Labs + Fivetran offers: 20 PTO days annually Excellent healthcare Paid Parental Leave What to expect in the interview process (all video interviews unless accommodations are needed): Interview with Talent Acquisition Partner Interview with Hiring Manager Interview with Peer Final Interview - SDR Challenge #LI-HYBRID Perks and Benefits 100% employer-paid medical insurance * Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. * May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes . Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here . We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.

Location: Mississauga Workplace: hybrid At PointClickCare our mission is simple: to help providers deliver exceptional care. And that starts with our people. As a leading health tech company that’s founder-led and privately held, we empower our employees to push boundaries, innovate, and shape the future of healthcare.   With the largest long-term and post-acute care dataset and a Marketplace of 400+ integrated partners, our platform serves over 30,000 provider organizations, making a real difference in millions of lives. We also reinvest a significant percentage of our revenue back into research and development, ensuring our employees have the resources to innovate and make a lasting impact. Recognized by Forbes as a top private cloud company and honored as one of Canada’s Most Admired Corporate Cultures, we offer flexibility, growth opportunities, and meaningful work.    At PointClickCare, we empower our people to be the architects of a smarter healthcare future; one that is human-first and accelerated by AI to create meaningful and lasting change. Employees harness AI as a catalyst for creativity, productivity, and thoughtful decision-making. By integrating AI tools into our daily workflows, collaboration is enhanced, outcomes are improved, and every team member has the proficiency to maximize their impact. It all starts with our hiring practices where we uncover AI expertise that complements our mission, and we continue to invest in training and development to nurture innovation throughout the employee journey.   Join us in redefining healthcare — so it doesn’t just survive, it thrives. To learn more about PointClickCare, check out Life at PointClickCare and connect with us on Glassdoor and LinkedIn.     **Travel to Office expectations** For Remote Roles: If this role is remote, there will be in-office events that will require travel to and from the Mississauga and/or Salt Lake City office. These will include, but not limited to, onboarding, team events, semi-annual and annual team meetings.   For Hybrid Roles: If this role is Hybrid, there will be an expectation to reside within commutable distance to the office/location specified in the job listing. This will include, but not limited to, weekly/bi-weekly/monthly events in the office with your specific team. This is a requirement for this role. PointClickCare is searching for a Principal Software Data Engineer who will contribute to all phases of the software development life cycle, and will play a crucial role in designing, developing, and maintaining large scale Data Platform and data pipelines based on microservices architecture, while also encouraging and optimizing the daily execution of technical excellence across an empowered team. This is a hands-on leadership role, requiring the ability to enhance and implement batch and real-time data solutions already in progress, mentor other team members, and deliver both business and technical objectives through ambiguity and uncertainty. This is an opportunity to shape the future of our data ecosystem. You’ll work with a passionate team and modern technologies to drive innovation that impacts the entire organization. The ideal candidate thrives as an individual contributor, while making a significant technical impact and elevating the team’s capabilities.   To succeed as a Principal Software Data Engineer at PointClickCare, you need to be collaborative, adventurous and passionate. Collaborative means that you’re enthusiastic about jumping in to help achieve the team’s top priorities, no self-promoting politicians allowed. Adventurous means that you’re not afraid to dive into uncharted technical territory and get your own hands dirty, while supporting and driving delivery of complex features through a dedicated Scrum team. Passionate means that you’re eager to learn and share knowledge that drives the team forward, and excited to be part of a movement that is positively impacting the lives of seniors and their caregivers all over North America.   What your day-to-day will look like: -Lead and guide the design and implementation of scalable distributed systems based on Java microservices -Engineer and optimize data pipelines using solutions like Apache Hudi, Apache Trino, Azure ADLS -Collaborate cross-functionally with product, analytics, and AI teams to ensure data is a strategic asset -Advance ongoing modernization efforts, deepening adoption of event-driven architectures and cloud-native technologies -Drive adoption of best practices in data governance, observability, and performance tuning for data workloads -Embed data quality in processing pipelines by defining schema contracts, implementing transformation tests and data assertions, enforcing backward-compatible schema evolution, and automating checks for freshness, completeness, and accuracy across batch and streaming paths before production deployment -Establish robust observability for data pipelines by implementing metrics, logging, and distributed tracing for streaming jobs, defining SLAs and SLOs for latency and throughput, and integrating alerting and dashboards to enable proactive monitoring and rapid incident response -Foster a culture of quality through peer reviews, providing constructive feedback and seeking input on your own work   What qualifications we’re looking for: -Principal Software Data Engineer with at least 10 years of professional experience in software or data engineering, including a minimum of 4 years focused on data pipelines (batch and streaming) -Proven experience driving technical direction and mentoring engineers while delivering complex, high-scale solutions as a hands-on contributor -Strong understanding of event-driven architectures and distributed systems, with hands-on experience implementing resilient, low-latency pipelines -Practical experience with cloud platforms (AWS, Azure, or GCP) and containerized deployments for data workloads -Fluency in data quality practices and CI/CD integration, including schema management, automated testing, and validation frameworks (e.g., dbt, Great Expectations) -Operational excellence in observability, with experience implementing metrics, logging, tracing, and alerting for data pipelines using modern tools -Solid foundation in data governance and performance optimization, ensuring reliability and scalability across batch and streaming environments -Proven experience with Lakehouse architectures and related technologies, including Apache Hudi, Azure ADLS Gen2, HDFS, and other big data technologies (Trino, Databricks, Spark) -Strong collaboration and communication skills, with the ability to influence stakeholders and evangelize modern data practices within your team and organization.   #LI-AJ1 #LI-remote PointClickCare Benefits & Perks:   Benefits starting from Day 1! Retirement Plan Matching Flexible Paid Time Off Wellness Support Programs and Resources Parental & Caregiver Leaves Fertility & Adoption Support Continuous Development Support Program Employee Assistance Program Allyship and Inclusion Communities Employee Recognition … and more!   It is the policy of PointClickCare to ensure equal employment opportunity without discrimination or harassment on the basis of race, religion, national origin, status, age, sex, sexual orientation, gender identity or expression, marital or domestic/civil partnership status, disability, veteran status, genetic information, or any other basis protected by law. PointClickCare welcomes and encourages applications from people with disabilities. Accommodations are available upon request for candidates taking part in all aspects of the selection process. Please contact recruitment@pointclickcare.com should you require any accommodations. As part of our commitment to a streamlined and equitable hiring experience, PointClickCare uses AI tools to assist with candidate screening and assessment.   When you apply for a position, your information is processed and stored with Lever, in accordance with Lever’s Privacy Policy. We use this information to evaluate your candidacy for the posted position. We also store this information, and may use it in relation to future positions to which you apply, or which we believe may be relevant to you given your background. When we have no ongoing legitimate business need to process your information, we will either delete or anonymize it.  If you have any questions about how PointClickCare uses or processes your information, or if you would like to ask to access, correct, or delete your information, please contact PointClickCare’s human resources team: recruitment@pointclickcare.com    PointClickCare is committed to Information Security. By applying to this position, if hired, you commit to following our information security policies and procedures and making every effort to secure confidential and/or sensitive information. At PointClickCare, base salary is one of the many components that make up our total rewards package. The CAD base salary range for this position is $142,700-178,400+ bonus + equity + benefits. Our salary ranges are determined by job and level. The range displayed on each job posting reflects the target for new hire salaries for the position across all CAD locations. Within the range, individual compensation is determined by job-related skills and knowledge, relevant experience including professional and lived experience, and/or work location. Your recruiter can share more information about our total rewards package during the hiring process.

Location: Tokyo Workplace: Remote Global Services is the centre of expertise at Chainalysis — the team that translates our platform, data, and investigative capabilities into real-world impact for customers across law enforcement, national security, financial institutions, and the broader crypto ecosystem. Chainalysis is seeking a Deployment Strategist to join Global Services as a core technical practitioner. This is not a traditional services or solutions engineering role. Deployment Strategists are embedded technical experts who own the full lifecycle of customer value — from problem discovery and investigation through solution design, deployment, and customer enablement. The role sits at the intersection of blockchain investigation, data analytics, domain expertise, and customer partnership. You will work directly with customers to understand their mission, conduct investigations, build tailored solutions, and enable customer teams to operationalise Chainalysis independently. Success requires deep investigative capability, genuine domain expertise, technical skill, and the ability to build trusted relationships through credibility — not just communication. This is the role that makes Chainalysis essential to how our customers operate. In this role, you’ll: - Own end-to-end customer engagements — from discovery through investigation, solution design, deployment, enablement, and ongoing value delivery - Conduct blockchain investigations across the Chainalysis platform, applying tracing, OSINT, and analytical techniques to real customer problems - Partner directly with customers to understand investigative, intelligence, compliance, or operational objectives and translate them into actionable outcomes - Design, build, and maintain custom workflows, notebooks, dashboards, queries, and data models using Chainalysis data and products - Enable customers to operate solutions independently — building their capability so that Chainalysis becomes embedded in their operational infrastructure - Act as the primary technical and domain advisor for your customers, building trusted relationships through hands-on expertise and credibility - Deliver live training, demos, investigative walkthroughs, and technical briefings to both technical and non-technical audiences - Support pre-sales technical engagement for complex and strategic deals — helping customers understand what's possible and how to get there - Collaborate closely with Product, Engineering, Global Intel, and Sales to influence roadmap and improve offerings based on field intelligence - Develop and share domain expertise, investigative techniques, and best practices that raise the capability of the wider GS team We’re looking for candidates who have: - Conducted or directly supported cryptocurrency investigations, blockchain intelligence work, or financial crime analysis in an operational environment - Deep familiarity with blockchain ecosystems (BTC, ETH, stablecoins, DeFi) and how on-chain data is used in investigations, compliance, or intelligence workflows - Delivered customer-facing technical solutions — whether investigative outputs, data products, or analytical workflows — in complex, real-world environments - Worked directly with customers in law enforcement, national security, intelligence, compliance, financial crime, or security-focused domains - Built insights from large or complex datasets and communicated findings to varied audiences — from analysts to executives - Operated successfully in fast-paced, ambiguous environments requiring ownership, adaptability, and sound judgment Required Skills: Technical Skills - Proficiency in Python and SQL for data analysis, transformation, and solution development - Experience building notebooks, dashboards, and analytical workflows - Solid understanding of data modelling, querying, and working with large datasets - Ability to quickly develop deep expertise in Chainalysis data structures, schemas, and products Domain Expertise - Substantive knowledge of at least one domain: financial and cyber crime investigations, sanctions and compliance, fraud, national security, DeFi/protocol security, tax, or private sector risk - Understanding of how customers in your domain operate — their workflows, regulatory environment, and what success looks like for them - Ability to apply domain knowledge to shape investigation approach, solution design, and customer advisory Customer & Communication Skills - Proven ability to build trusted, long-term customer relationships through technical and domain credibility - Excellent communication skills — can explain complex investigative and data concepts to non-technical stakeholders - Comfortable leading customer sessions, workshops, training, and technical working groups - Experience enabling and upskilling customer teams — not just delivering outputs, but building customer capability Day-to-Day Activities - Conduct investigations and analytical work using Chainalysis tools (Reactor, KYT, Data Solutions) in response to customer needs - Develop and maintain technical artifacts — Python notebooks, SQL queries, dashboards, investigative reports — tailored to customer use cases - Work side-by-side with customers to design workflows that operationalise Chainalysis data in their environment - Enable customer teams through hands-on training, walkthroughs, and knowledge transfer — so they can operate independently - Deliver live demos, investigative briefings, and solution presentations - Support pre-sales activity — technical discovery, proof-of-value sessions, and solution scoping for prospective customers - Gather feedback from customers and translate it into actionable recommendations for Product, Engineering, and Global Intel - Contribute to live training delivery in your domain of expertise - Support multiple customers concurrently while maintaining quality and responsiveness - Develop your domain specialism through continuous learning, case work, and engagement with the broader investigations and intelligence community Personal Attributes - Highly curious and continuously learning about blockchain technology, investigations, and emerging threats. - Strong customer focus with a genuine desire to help customers succeed in their mission. - Self-starter who thrives in ambiguous environments and takes ownership of outcomes. - Collaborative, adaptable, and comfortable operating across teams and functions. - Deeply curious about blockchain technology, crypto crime, investigations, and the evolving threat landscape - Strong customer focus with a genuine desire to help customers succeed in their mission — whether that's making an arrest, filing a SAR, or building a compliance programme - Credibility-driven — earns trust through expertise and delivery, not just presentation - Self-starter who thrives in ambiguous environments and takes ownership of outcomes - Collaborative, adaptable, and comfortable operating across teams and functions - Committed to developing deep domain expertise — not satisfied with surface-level knowledge Nice to have experience: - Direct experience with Chainalysis products - Background in law enforcement, intelligence, or military investigations - Experience providing expert evidence or supporting legal proceedings - Familiarity with compliance frameworks (BSA/AML, sanctions screening, MiCA, Travel Rule) - Experience with data engineering tools and platforms (e.g., Databricks, Snowflake, cloud-based analytics) - Published research, intelligence products, or thought leadership in blockchain analytics or financial crime AI at Chainalysis AI is not a feature at Chainalysis - it is a new way of working. One that turns instructions into work done, and helps us move faster than the threats we're built to counter, and we expect our employees to take ownership of the output and ensure quality. As the world's most trusted blockchain analytics platform, Chainalysis sits at a rare intersection of proprietary data, regulatory relationships and crypto expertise that makes it uniquely placed to shape and lead the next era of AI-driven intelligence - and we expect everyone here, regardless of role, to be an active part of it. AI fluency is tied directly to how we measure performance and how we plan to win. There is no substitute for your own curiosity. We provide the tools, workflows, and space to experiment - but the expectation is that you develop these capabilities yourself, bring ideas, and collaborate across teams to reinvent the way work gets done. We are not using AI to do less. We are using it to do what was never possible before. About Chainalysis Chainalysis is the blockchain data platform, making it easy to connect the movement of digital assets to real-world services. Powered by deep blockchain data and AI, organizations can investigate illicit activity, manage risk exposure, and develop innovative market solutions built on the industry's most trusted blockchain intelligence. Our mission is to build trust in blockchains, blending safety and security with an unwavering commitment to growth and innovation. You belong here.  At Chainalysis, we believe that diversity of experience and thought makes us stronger. With both customers and employees around the world, we are committed to ensuring our team reflects the unique communities around us. We’re ensuring we keep learning by committing to continually revisit and reevaluate our diversity culture. We encourage applicants across any race, ethnicity, gender/gender expression, age, spirituality, ability, experience and more. If you need any accommodations to make our interview process more accessible to you due to a disability, don't hesitate to let us know. You can learn more here https://go.chainalysis.com/rs/503-FAP-074/images/Interview%20Accommodations%20Request.pdf. We can’t wait to meet you.

Location: Remote - Global Workplace: Remote About the company Trust Wallet is the secure, self-custody Web3 wallet that empowers people to own and control their digital assets. Whether you're new to crypto or an experienced user, Trust Wallet makes it easier, safer, and more convenient to explore Web3, securely access dApps, manage your crypto, and buy and sell digital assets, all in one place. ABOUT THE ROLE As a Senior Data Engineer, you will play a key role in building and scaling the data platform that powers analytics across Trust Wallet. You'll be responsible for designing, developing and maintaining data pipelines and data models, ensuring a seamless, scalable and reliable flow of data from source systems through to the decisions it supports. Leveraging your experience with Databricks and Spark across both streaming and batch workloads, dbt or a similar transformation framework, cloud infrastructure, and custom solutions in Python, you'll work closely with our data analysts and engineering teams to turn data into a strategic asset for our company. KEY RESPONSIBILITIES - Data Platform Engineering: Architect and maintain robust, scalable and secure data infrastructure on Databricks, covering both streaming and batch workloads. - Data Pipeline Development: Design, develop and maintain data pipelines, primarily in Python and Spark, to automate ingestion and transformation across internal systems, external providers and on-chain sources. - Data Modelling: Design and maintain dimensional data models and transformation layers in dbt, with tests and documented contracts, so metrics are consistent and reusable across the company. - Data Lake Management: Oversee the data lake and lakehouse layers, ensuring efficient storage, effective partitioning, high data quality, and monitoring and alerting that surfaces issues early. - Integration and Customisation: Integrate Databricks with a wide range of data sources, including change data capture from operational databases, third-party APIs and blockchain data, and adapt data flows to specific business needs. - Performance, Scalability and Cost: Optimise pipelines and storage for performance, reliability and cost efficiency at scale. - Data Governance and Security: Apply best practices for governance, security and compliance in cloud and Databricks environments, including access control, encryption and monitoring. - Collaboration and Documentation: Work closely with platform engineers, data analysts and other stakeholders to understand data requirements, and document infrastructure, models and best practices. REQUIRED QUALIFICATIONS - Experience in Data Engineering: 3+ years as a Data Engineer, with hands-on ownership of production pipelines and lakehouse or data warehouse architecture. - Databricks and Spark: Strong practical experience with Databricks, Delta Lake and Spark, including both streaming and batch processing, and the judgement to choose between them. - Data Modelling: Solid understanding of dimensional modelling, slowly changing dimensions and data warehouse design, with the ability to define and defend the grain of the models you build. - Transformation Frameworks: Experience with dbt or an equivalent framework for managing transformations, testing and lineage. - Cloud Proficiency: Strong cloud fundamentals, including identity and access management, object storage, networking and infrastructure as code. We run on AWS; deep experience with Azure or GCP transfers well. - Proficiency in Python and SQL: Comfortable writing production transformations as well as services and connectors. - Data Quality and Governance: Experience implementing testing, monitoring and governance practices in cloud data environments. PREFERRED SKILLS - Experience with change data capture and replication from operational databases - Familiarity with blockchain or on-chain data - Infrastructure as code, ideally Terraform, and CI/CD for data workloads - Experience with BI and semantic layers such as Holistics, Looker or similar - Containerisation and orchestration (Docker, Kubernetes) ADDITIONAL INFORMATION This is a global and fully remote role. You must have the right to work for the country you are based. WHY WORK AT TRUST WALLET? - Be a part of the world’s leading blockchain ecosystem that continues to grow. - Excellent learning and career development opportunities. - Work alongside diverse, world-class talent, in an environment where learning and growth opportunities are endless. - Tackle fast-paced, challenging and unique projects. - Work in a truly global organization, with international teams and a flat organizational structure. - Work fully remotely with flexible working hours. - Enjoy competitive salary and benefits. Apply today to join our team in building the world’s most trusted and secure crypto wallet and enable a decentralized future for everyone. Trust Wallet is committed to being an equal opportunity employer. We believe that having a diverse workforce is fundamental to our success. *Due to the large amount of the applications, please consider your application as unsuccessful should you not be contacted within 4 weeks from your application date.

Location: Remote - United States Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . Reddit has a flexible workforce! If you happen to live close to one of our physical office locations our doors are open for you to come into the office as often as you'd like. Don't live near one of our offices? No worries: You can apply to work remotely in any country in which we have a physical presence About Reddit Reddit is a community of communities, built on shared interests, passion, and trust. With 100,000+ active communities and 101M+ daily active unique visitors, we’re one of the largest sources of conversation and knowledge on the internet. For more information, visit redditinc.com . Team Overview The Ads ML Platform team builds infrastructure that accelerates high-scale ML systems and tooling for Ads ML, while extending reusable capabilities to broader Reddit ML use cases where appropriate. Our systems help ML engineers move faster across the full development lifecycle: creating features, generating training data, running offline experiments, validating model quality, launching production models, and operating ML systems reliably. We are looking for a Senior Staff Machine Learning Systems Engineer to lead the technical strategy for the end-to-end Ads ML engineer lifecycle. The initial focus will be on the feature development and training iteration loop: making it faster and easier for ML engineers to build features, generate reliable training data, run experiments, and move from idea to validated model improvement. Over time, this scope will expand into serving and online experimentation workflows, creating a more seamless path from offline iteration to production impact. This is a senior technical leadership role for someone who can combine deep systems expertise, production ML experience, architectural judgment, and cross-team influence. What You’ll Do Own the technical strategy for the end-to-end Ads ML engineer lifecycle, starting with feature development, training data, offline experimentation, and model iteration workflows. Align Ads ML platform priorities with Reddit’s broader ML Platform vision, translating Ads pain points into reusable platform capabilities where appropriate. Define architecture and technical standards for ML feature and training-data systems across batch/streaming computation, backfills, lineage, quality, observability, and online/offline consistency. Stay close to ML engineers and platform customers to identify high-leverage friction points and improve day-to-day development velocity. Build platform abstractions and workflow automation that make ML development faster, safer, more reliable, and more self-service. Over time, extend the platform strategy into serving and online experimentation workflows, creating a more seamless offline-to-online ML development experience. Partner across Ads, ML Platform, Data Platform, modeling, product, and engineering teams to clarify ownership, resolve ambiguity, and drive durable execution. Mentor Staff and senior engineers, raise the architecture and operational bar, and help grow the next generation of technical leaders. Who You Might Be You have 8+ years of experience in infrastructure, distributed systems, ML platforms, data platforms, or large-scale backend systems. You have 4+ years building or operating production ML infrastructure, feature platforms, training data systems, experimentation systems, or large-scale data pipelines. You have led broad, ambiguous, multi-team platform initiatives from strategy through adoption. You have built platforms used directly by ML engineers, data scientists, or product teams developing production ML systems. You have deep experience in ML platform, feature platform, training data, experimentation, developer infrastructure, or distributed data infrastructure. You have worked with distributed data and compute systems such as Spark, Flink, Kafka, Ray, Airflow, Iceberg, Kubernetes, BigQuery, Snowflake, Databricks, or similar technologies. You can balance urgent customer needs with durable long-term architecture and reusable platform patterns. You influence senior engineers and leaders through clear technical reasoning, RFCs, design reviews, decision frameworks, and operating mechanisms. You are excited to shape how production ML systems are built, scaled, and operated, not only how models are trained. Benefits: Comprehensive Healthcare Benefits and Income Replacement Programs 401k with Employer Match Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support Family Planning Support Gender-Affirming Care Mental Health & Coaching Benefits Flexible Vacation & Paid Volunteer Time Off Generous Paid Parental Leave Pay Transparency: This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/ . To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below. The base salary range for this position is: $292,500 — $409,500 USD In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews. During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable.  We will not sell your personal information or disclose it to any third party for their marketing purposes.  We will delete any recording of your interview promptly after making a hiring decision.  For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors . Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve.  Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.

Location: New York; San Francisco Workplace: Hybrid ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE Baseten's GTM org is in hyper growth. As it grows and matures, the needs of the GTM stack get more sophisticated with scale — and this team exists to stay ahead of those needs. Our GTM Engineering team plays a critical role in building and maintaining the connective tissue across Baseten’s GTM tools, processes, and user experience for the field. The GTM tooling landscape is changing fast, and the teams that win are the ones that adapt and iterate the fastest. This role exists to make sure Baseten is one of them. You'll design, build, and ship AI-powered workflows that scale our GTM functions as a competitive advantage. We want someone who can walk in, audit what we have, identify what we're missing, and start shipping fast. You know when to reach for Clay and when to build something custom in Claude Code. You think two to three steps ahead about how the thing you build today fits into the broader systems architecture tomorrow. And you bring a point of view — on our stack, on what we should be building, and on where AI can do something low-code tooling simply can't. RESPONSIBILITIES - Ship AI-powered workflows for the field — build the agents and automations that give reps and managers real leverage, off-loading the manual and repetitive work. Reach for AI where it does something low-code can't. - Get insights in front of reps — turn Salesforce, warehouse, and usage data into the dashboards, scores, and alerts reps actually act on. A build isn't done until the field is using it. - Audit the stack and generate your own backlog — we have a lot of tools, some overlap, and real gaps. Walk in with a point of view, identify what's missing or broken, and prioritize without waiting to be handed a roadmap. - Ship rep-productivity workflows fast — triage asks from the field, find the low-hanging fruit, and build it. A good week looks like a VP of Sales asking for something Monday and having it live by Wednesday. - Know when to go custom — not everything belongs in a point-and-click tool. Spin up bespoke AI-powered solutions in Claude Code when the problem calls for it, and make that call with judgment, not default. - Think in systems, not solutions — every workflow you build has upstream and downstream implications. Anticipate them, design for them, and don't create technical debt that someone else has to unwind six months later. - Integrate third-party APIs to sync events and information across disparate systems — ensuring data flows reliably between the tools your team depends on every day. - Document what you build — if people can't find it, understand it, or trust it, it doesn't matter how well it works. REQUIREMENTS - 3+ years of experience in GTM Engineering, workflow automation, or a technical RevOps role — ideally at a high-growth, AI-native B2B company - You’ve shipped production agents on Vercel — build custom internal GTM apps and agents on Vercel, with durable workflows and sandboxed execution, so what you ship runs reliably in production instead of as one-off scripts - Genuine fluency with AI coding assistants and agent tooling (Claude Code, Cursor, Codex, or similar) — you're actively building with these tools in production, not just experimenting - Hands-on experience with Clay as a primary enrichment and workflow tool — you have opinions about how to use it well and you've pushed it to its limits - Direct experience with Salesforce — you know the data model, you've built on it, and you're comfortable owning CRM-level changes - A track record of owning end-to-end AI and automation workflows, not just contributing to or consuming them - Proficiency with integration and automation platforms (n8n, Zapier, Make, Workato, or similar) and a fundamental understanding of APIs and webhooks - Strong judgment on the build decision — you know when low-code gets you 80% of the way there and when it becomes the bottleneck, and you act accordingly - Experience in high-growth B2B technology companies NICE TO HAVE - Familiarity with enrichment and data-provider ecosystems beyond Clay - Comfort building reporting and alerting on a data warehouse (BigQuery, Databricks) and BI layer (Sigma, Hex) — not as a data engineer, but as a consumer and builder on top of the data layer - Experience building with agent platforms (Gumloop, n8n, Notion Agents, etc.) and/or agent frameworks (Vercel AI SDK, Claude Agent SDK, Mastra, etc.) - Experience with highly technical software sales cycles and complex GTM motions - An instinct for stack consolidation — you've inherited a messy tool environment before and helped bring it toward something more intentional without breaking what works - Systems thinker — you naturally break problems into composable parts, building solutions with separation of concerns so they're reusable, extensible, and easy to maintain - Comfortable with a little sprawl — you're not paralyzed by ambiguity or imperfect tooling. You know how to experiment, build fast, and clean up as you go - Challenging work and exposure to a variety of ML startups. BENEFITS - Competitive compensation, including meaningful equity - (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!) - Paid parental leave - Fertility and family-building stipend through Carrot - (U.S. only) Company-facilitated 401(k) - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).

Location: Brazil Why Join Exadel We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks. From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next. What powers it all? Our people are ambitious, collaborative, and constantly evolving. What You’ll Do Embed within client environments, working onsite with the people performing the work and the executives sponsoring it. Lead discovery sessions to understand the client’s business, systems, data, operating model, and underlying challenges. Translate ambiguous business problems into prioritized and quantified opportunity maps, supported by clear baselines and accountable client owners. Identify which opportunities are genuinely worth pursuing and advise against initiatives that do not provide sufficient business value. Build trust in the client’s data and deliver working, data-grounded prototypes within the first weeks of an engagement. Design, develop, debug, and deploy production-grade AI agents, integrations, data pipelines, and applications within client systems. Remain hands-on in the code whenever technical progress or delivery outcomes depend on it. Define evaluation frameworks, quality thresholds, regression gates, and monitoring strategies for AI and agentic systems. Monitor model and data drift and design effective human-in-the-loop controls for high-impact workflows. Scope, sequence, and coordinate delivery across engineers, architects, and specialist contributors. Make explicit trade-offs between scope, delivery speed, quality, and business value. Orchestrate Exadel Colleague to accelerate delivery and scale successful implementation patterns. Convert successful deployments into reusable reference architectures, agent templates, integration blueprints, evaluation frameworks, and delivery playbooks. Produce clear technical documentation, operational runbooks, and knowledge-transfer materials. Train client teams to independently operate, maintain, and extend delivered solutions. For Senior FDEs, independently lead executive discovery, direct pod execution, and take full accountability for engagement outcomes. For Senior FDEs, mentor other Forward Deployed Engineers and ensure reusable delivery patterns are incorporated into Exadel Colleague. What You Bring Mid-level hands-on technical experience, including client-facing capacity. For the Senior Forward Deployed Engineer level, senior-level experience, including technical delivery leadership across multidisciplinary teams or pods. A demonstrated record of delivering production software used by real users and business teams. Practical experience designing, deploying, and debugging LLM-backed or agentic systems in production. Advanced proficiency in Python, along with experience using TypeScript or JavaScript and SQL. Strong knowledge of prompt and context engineering, agent architecture, tool and function calling, and retrieval-augmented generation. Experience with Model Context Protocol servers, sub-agents, skills, and agent development frameworks such as the OpenAI Agents SDK or Claude SDKs. Experience designing evaluation harnesses, quality thresholds, regression gates, drift monitoring, and observability for non-deterministic systems. Understanding of human-in-the-loop control design and where human review should remain within automated workflows. Experience with data modeling, domain ontologies, ETL or ELT pipelines, relational databases, vector stores, and embedding pipelines. Experience building and deploying solutions on AWS, Azure, or GCP. Familiarity with Docker, Kubernetes, CI/CD, infrastructure as code, serverless architectures, and enterprise deployment patterns. Experience integrating with REST or GraphQL APIs, webhooks, event-streaming platforms, identity systems, and SSO. High agency and sound judgment when working through ambiguity, incomplete information, and evolving client requirements. Demonstrated ability to become credible and productive quickly within unfamiliar industries and business domains. A habit of clarifying the problem, identifying constraints, and explicitly stating assumptions before developing a solution. The ability to communicate effectively with both executive and technical audiences. Strong technical writing skills, with the ability to explain complex concepts clearly and precisely. Commercial judgment and the ability to connect technical decisions to measurable business value. Strong analytical and mathematical rigor when working with incomplete, inconsistent, or unstructured data. Fluent English communication skills. Willingness to travel approximately 25–50% and work onsite in client environments. Nice to have A university degree is preferred but not required. Demonstrated evidence of successfully delivered work will be valued ahead of formal qualifications. Java, C#, or C++ within legacy enterprise environments. Node.js, React, or Next.js for client-facing applications. Fine-tuning fundamentals and multi-agent orchestration. TDD or BDD practices. Large-scale data processing platforms such as Spark, Databricks, or Snowflake. PostgreSQL, MySQL, or comparable relational databases. On-premises, sovereign, or restricted-cloud deployment models. Enterprise systems such as Jira, Azure DevOps, ServiceNow, Salesforce, or SAP. GitHub or GitLab-based delivery workflows. English level Fluent Legal & Hiring Information Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more Reasonable accommodations are available to enable individuals with disabilities to perform essential functions Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs Compensation details are shared with candidates at the early stage of the recruitment process. The offer is not binding until a signed contract is in place. This position supports US-based operations; however, contracting will be executed locally in Brazil as a [PJ / CLT] engagement. Compensation is set and paid strictly in Reais (BRL). Your Benefits at Exadel Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details. International projects In-office, hybrid, or remote flexibility Medical healthcare Recognition program Ongoing learning & reimbursement Well-being program Team events & local benefits Sports compensation Referral bonuses Top-tier equipment provision Exadel Culture We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.