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Location: Berlin Workplace: Remote HEY THERE! Ready to put our brand in front of millions of people worldwide? We’re looking for a Data Analyst, Marketing to turn raw campaign and engagement data into decisions — telling us which channels, markets, and customers to target next. This isn’t a dashboard-building role. You’ll build robust data products, of course — but the real impact comes from the reporting and insight you deliver, and the incremental value that creates for the marketing team. Let’s shape the future of nutrition together and make Yazio the most successful nutrition app worldwide! This role is 100% remote and open to candidates based in Germany, Spain, Portugal, or the U.K. YOUR MISSION - Show our Performance Marketing team which campaigns to double down on — and which to scale back. - Partner with our CRM team to learn what messaging resonates with each user segment, then run experiments to measure the uplift. - Own the data transformation process, from raw channel and MMP data to curated, ready-to-use datasets in our self-service BI tool. - Define requirements with Data Engineering to ingest new data sources. - Work with the Analytics team to build a data-driven culture across Yazio. YOUR PROFILE - Hands-on experience with performance marketing data for a native mobile app, covering channel-level or MMP data (ideally both). - Solid grasp of attribution, incrementality, funnel and cohort analysis, plus marketing performance metrics like iROAS and CAC. - High proficiency in SQL and working knowledge of Python. - Solid experience in either analytics engineering (e.g., using dbt to transform data) or data science (e.g., geo-lift tests, holdout tests, A/B tests, media mix modeling). You don’t need both, but you should be strong in one. OUR CORE TECH STACK We use: - Snowflake as our core Analytics data warehouse. - dbt & Dagster to transform & orchestrate our data. - Growthbook to power experimentation. - Omni to provide self-service analytics. - Prefect to handle our ML workflows. WHY US? - An exciting product with millions of users in over 150 countries, driven by our mission to transform the world through healthy eating - A remote-first setup: work 100% from home, join a co-working space or work abroad for several weeks per year - 30 vacation days to relax and recharge, plus 5 child sick days if your little one needs you - A focus-driven culture that values efficiency over long hours — no overtime expectations, and if it happens, you get that time back! - A high-impact environment where your work drives real change — short decision-making processes and no micromanagement - A team culture where ambition and balance go hand in hand, supported by strong connections — from our fully covered company retreat to team meetups and virtual coffee breaks - Tools and support to do your best work: MacBook, monitor and €1,000 annual learning budget, plus regular feedback and career development - A truly international team with English as our company language and a shared commitment to growth and well-being — supported by Sunday Supplements and Nilo Health DIVERSITY AND INCLUSION At Yazio, we believe that diversity fuels innovation. We are committed to fostering an inclusive environment where everyone, regardless of gender identity, race, religion, age, sexual orientation or ability, feels valued and empowered. We celebrate different perspectives and actively encourage individuals from all backgrounds to apply. READY TO JOIN US? Excited to take Yazio to the next level and help people worldwide lead healthier lives? We’d love to hear from you! Please send us: - Your CV in English - A few lines (or a short video if you prefer) about who you are and why you want to work at Yazio - Any additional materials that showcase your work (e.g., LinkedIn profile, GitHub)

Задачи: — Работа с хранилищами данных, архитектурой данных и моделированием данных. — Использование Snowflake, dbt Core, Databricks. — Работа с Apache Airflow и Azure DevOps. — Понимание процессов ETL/ELT и интеграции данных. — Участие в проектах миграции и модернизации платформ данных. Требования: — Большой опыт работы с хранилищами данных, архитектурой данных и моделированием данных. — Отличные навыки работы с SQL. — Практический опыт работы со Snowflake и dbt Core. — Знание Data Vault 2.0 и Databricks. — Опыт работы с Apache Airflow и Azure DevOps. — Понимание процессов ETL/ELT и интеграции данных. — Отличные навыки командной работы, коммуникации и решения проблем. — Владение английским языком на уровне C1 и немецким на уровне B2. Желательно: — Знание Python для обработки данных и автоматизации. — Опыт работы с ИИ-помощниками для написания кода (Claude Code, GitHub Copilot). Условия: — Удалённый формат работы. — Оформление через ИП. — Локация: ЕС.

Location: United Kingdom; Spain; Germany Workplace: remote Help Us Build The Future of Travel At Airalo, we're making it easier for people to stay connected wherever they travel. As the world's first eSIM store, we help millions of travelers access affordable mobile data in 200+ countries and regions around the world. Today, we're a team of 400+ people across 60+ countries, building a product used by travelers every day. We've grown quickly, but we've worked hard to keep what matters: trust, ownership, and the freedom for people to do great work without unnecessary layers or bureaucracy. We're fully remote by design, genuinely global, and united by a shared mission to make travel simpler for everyone. Your Next Destination Location: Remote. Contract: Full-time, permanent. Benefits: Learn more about our benefits here in this link - https://airalo-public.notion.site/Benefits-25396a97ffca81fb9bc1f0be479f1be3?pvs=74  Languages: English is our main working language day to day, so you'll need to be comfortable communicating in it both in meetings and async. What You'll Do Support our marketing attribution models and methodology: review how conversions are credited across channels, reconcile platform-reported and first-party numbers, and keep the approach trusted and documented. Design and maintain the marketing data models behind measurement (spend, attribution, orders and customer cohorts) with Analytics Engineering, with clear definitions, tests and documentation. Support Growth and Marketing with ad-hoc and core analytics, such as campaign and market performance, self-serve dashboards and AI-assisted analytics. Design and run geo experiments from simulation-based power analysis and market selection to success criteria and read-out, working with the marketing performance team. Co-own a prioritised quarterly incrementality test roadmap across channels and markets, ranked by decision value, cost, feasibility (including properly powered tests) and learning, and track each test through to a decision. Handle spillover, seasonality and small-market noise, and report incremental CAC and incremental ROAS with honest uncertainty. Turn test results into investment guidance: estimate marginal returns and saturation by channel and market, and recommend where the next dollar should go and where to pull back. Help set and document our causal measurement standards: which method when, what counts as sufficient evidence, and how results calibrate attribution and MMM for budget allocation. Defend the framework under challenge from channel owners and leaders, and pressure-test platform claims. Guide Growth, Acquisition and Finance from business question to testable hypothesis to budget decision, and build literacy on attributed versus incremental performance. Build reusable experiment tooling and templates, work with Analytics Engineering and MarTech on the data experiments needed, and document every test and decision as you build this capability from scratch. What You'll Bring 3+ years of experience in marketing measurement (attribution, incrementality or marketing mix modelling), with a track record of analysis that changed real budget decisions. Solid grounding in causal inference and experimental design: randomised and quasi-experimental methods such as synthetic control and difference-in-differences, simulation-based power analysis to size and design tests, and knowing when each approach breaks. Strong statistical judgement: you can quantify uncertainty, explain it simply, and resist overclaiming. Hands-on experience with marketing attribution models and their limits, including reconciling platform-reported results with first-party data. Familiarity with how experiments calibrate MMM and attribution, and with marginal-return and budget-optimisation thinking (saturation, diminishing returns). Expert SQL and Python, production-quality code, a modern warehouse (BigQuery or Snowflake) and a BI tool such as Lightdash or Looker. Strong data modelling skills: designing clean, tested and documented models (dbt or similar) for marketing spend, attribution and customer data, and working closely with Analytics Engineering. Strong core analytics skills: marketing and customer metrics (CAC, LTV, retention, funnel and cohort analysis), dashboards and self-serve BI, and the judgement to prioritise ad-hoc requests alongside the test roadmap. Proven ability to influence senior stakeholders: you hold a position under challenge, have shaped a roadmap, and say no with a clear rationale. Comfortable with ambiguity and with data that is still improving: you're a proactive self-starter who is happy to create a new process or capability in a small, fast-growing team. Why People Join Us We started Airalo to make staying connected effortless, wherever you are in the world. Today, millions of travelers rely on our eSIMs, and many of the people building the product were customers first. Our team spans 60+ countries, united by a shared belief that great work happens when people are trusted to own what they do. There's trust to own what you do, space to focus without constant layers of process, and a clear sense of what you're responsible for from day one. As Airalo continues to grow, so do the opportunities to learn, take on new challenges, and make a real impact - from anywhere in the world. Before You Hit Apply By applying, you acknowledge and agree that, in case of successful application, Airalo may request to run background checks as a condition for entering into an agreement with you. Rest assured that these checks will only occur upon your prior consent and at the end of the selection process, and will be strictly limited to what is allowed under the laws that are applicable to you. All data that you share or that we collect in connection with such checks will be processed in accordance with our Privacy Policy, available here: www.airalo.com/more-info/privacy-policy?srsltid=AfmBOooBT0rXAj1FaNelZ3VfN0wvhwzvAoxdtHnOKSVETpiSjiXVuycy    We sincerely thank all applicants in advance for submitting their interest in this opportunity. Airalo is an equal-opportunity employer and values diversity, equity & inclusion. We do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We are committed to providing reasonable accommodations upon request for individuals with disabilities throughout our job interview process. At Airalo, we believe in roaming-free recruitment. Just as we provide clear connectivity for travelers, we provide clear salary ranges for our candidates. 🌍 This role is remote and open to candidates across our supported locations in Europe. The range below reflects the full salary range for this role across the countries where it’s available: 📍UK: £64,000 - £96,000 📍Spain: €62,000- €93,000 📍Germany: €68,000- €102,000 Your Home Destination: Local market rates and cost of living vary, so your specific range depends on where you’re based. Most people join in the first half of the band, which leaves you plenty of room to grow, and you’ll see exactly how that looks from day one. In exceptional cases, where a candidate’s skills and experience clearly exceed what the role requires, we’re happy to talk about going higher. We’ll walk through your range together on your first call with our Talent team, so we’re all aligned for takeoff!

Location: Bengaluru, Karnataka, India, 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 Fivetran is building data pipelines to power the modern data stack for thousands of companies. We’re looking for a Systems Engineer to help support and improve the internal systems that our R&D teams use to plan, collaborate, and deliver. As part of our R&D Business Systems team, you’ll administer Jira Cloud, provide day-to-day support for users and systems, and build automations and integrations that reduce manual work. You’ll also support platforms such as Notion, Zendesk, Slack, GitHub, and incident management systems. You’ll own system administration, configuration changes, automations, integrations, and improvements across Jira and other internal platforms, from requirements through rollout, collaborating with teammates on design and technical review. This role is a good fit for someone with hands-on systems administration and scripting experience who enjoys solving operational problems and improving the systems that support teams across the entire organization. This is a full-time, hybrid position based out of our Bengaluru, India office. Technologies You’ll Use You’ll work with Jira Cloud (including ScriptRunner, Automations, webhooks, Rich Filters, Forms, and internally developed applications), Notion, Zendesk, Slack, incident management systems, GitHub, and related operational and workflow tools. You’ll use Groovy, Python, or similar scripting languages to create and update scripts that support integrations, automate administrative tasks, and improve existing workflows. You’ll also leverage AI tools such as ChatGPT and Claude to assist with scripting, troubleshooting, research, and technical documentation. You don’t need experience with every platform listed, but you should be interested in learning and supporting systems beyond Jira. What You’ll Do Configure and maintain Jira workflows, fields, screens, permission schemes, forms, dashboards, and automation rules, following established governance standards. Build, test, and maintain automations and scripts that improve R&D workflows and reduce repetitive administrative work. Help implement and troubleshoot integrations between Jira and other internal platforms using native capabilities, REST APIs, and webhooks. Own assigned components and small improvements from requirements clarification through implementation, testing, documentation, and rollout, with guidance from teammates. Contribute to technical designs for scoped system improvements, explain implementation tradeoffs, and participate in configuration and code reviews. Provide day-to-day user support, investigate configuration and integration issues, and escalate complex problems with clear findings. Administer and maintain internal platforms such as Notion, incident.io, Zendesk, and other business systems, including managing configurations, troubleshooting issues, and implementing automations, integrations, and workflow improvements. Support system migrations, data cleanup, and tool rollouts by completing assigned work and validating results. Maintain documentation for configurations, automations, integrations, and support procedures. Work with Engineering, Product, Support, and Operations stakeholders to understand requests, communicate progress, and flag risks or blockers. Support and maintain internally developed applications that extend Jira functionality, including troubleshooting issues, testing and implementing updates with guidance from teammates, and documenting changes. Participate in the team’s operational support processes and contribute to planning and prioritization. Skills We’re Looking For 2+ years of relevant experience in systems administration, business systems, or technical application support, including hands-on administration of Jira Cloud. Working knowledge of Jira workflows, custom fields, screens, permission schemes, JQL, dashboards, and automation rules. Experience building and troubleshooting workflow automations, with an understanding of how to test changes before releasing them. Working knowledge of a scripting language such as Groovy or Python, including the ability to create, modify, test, and troubleshoot scripts to meet business requirements. Familiarity with REST APIs, JSON, webhooks, and authentication concepts used in SaaS integrations. Understanding of cloud-based applications, access controls, and the impact configuration changes can have on users and connected systems. A methodical approach to troubleshooting, including gathering evidence, reproducing issues, and knowing when to ask for help. Ability to break actionable work into tasks, follow through on commitments, and communicate progress and blockers. Clear written and verbal communication, attention to detail, and a collaborative approach to working with technical and non-technical colleagues. Curiosity and willingness to learn new platforms, understand the business processes they support, and incorporate feedback. Bonus Skills​ Experience with ScriptRunner, Rich Filters, and other Jira Marketplace applications. Experience supporting Notion, Zendesk, Slack, GitHub, incident.io, or other similar tools. Familiarity with Git, pull requests, and reviewing or testing scripts and configuration changes. Exposure to SSO, SCIM provisioning, or SaaS user lifecycle management. Experience assisting with system migrations, bulk updates, or data validation. Familiarity with SQL, reporting tools, or Infrastructure-as-Code concepts such as Terraform. #LI-HYBRID #LI-AV1 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: Москва Мы ищем уникального специалиста, который объединит в себе роли Владельца продукта (Product Owner) и Технического лидера (Tech Lead) для нашей команды BI. Вам предстоит не просто управлять бэклогом, а взять на себя полную ответственность за развитие аналитической платформы компании. Ваша миссия — превратить сырые данные в понятные бизнес-инсайты и удобные инструменты для принятия решений. Вы будете работать на стыке бизнеса, аналитики и разработки, определяя стратегию развития отчетности на базе Power BI, управляя сложной архитектурой потоков данных (Apache Airflow) и глубоко погружаясь в специфику нашей внутренней платформы BI. Мы ищем лидера, который сможет выстроить процессы с нуля, задать высокие стандарты качества кода и визуализации, а также сплотить команду вокруг общей цели. Обязанности **В роли Владельца продукта:** * Формирование и приоритизация продуктового бэклога команды BI в тесном взаимодействии с бизнес-заказчиками. * Сбор и формализация требований от стейкхолдеров, их декомпозиция на понятные задачи для команды. * Определение метрик успеха (OKR/KPI) для аналитических отчетов и инструментов, отслеживание их влияния на бизнес-показатели. * Управление ожиданиями заказчиков, планирование релизов и коммуникация о статусе разработки. * Проведение CustDev и интервью с пользователями для выявления реальных потребностей в данных. * Оценка бизнес-ценности задач и защита бюджета на развитие аналитических инструментов. **В роли Технического лида:** * Проектирование архитектуры потоков данных: от источников до витрин и конечных дашбордов. * Разработка и ревью ETL/ELT-процессов на Apache Airflow, оптимизация производительности пайплайнов. * Технический надзор за разработкой дашбордов в Power BI, Navigator BI: контроль соблюдения best practices, оптимизация DAX-запросов и моделей данных, обеспечение читаемости и производительности отчетов. * Настройка и контроль качества данных (Data Quality), управление доступами и ролевой моделью (RBAC). * Внедрение процессов CI/CD для аналитических решений, настройка автоматизированного тестирования данных и отчетов. * Менторинг команды (аналитиков данных и BI-разработчиков), проведение код-ревью, развитие экспертизы сотрудников. * Обеспечение отказоустойчивости и стабильности аналитической платформы, управление техническим долгом. Требования * Опыт работы на стыке Product Owner и Tech Lead (или Lead Data Engineer / Analytics Team Lead) от 3 лет. * Уверенное владение **Power BI** (Desktop и Service): построение сложных моделей данных, оптимизация DAX, разработка сложных мер и расчетных столбцов, настройка Row-level security (RLS). * Глубокое знание **Apache Airflow**: написание кастомных операторов, управление зависимостями (SLA, датчики), работа с XComs, масштабирование исполнителей (Celery/Kubernetes). * Уверенное владение SQL (оконные функции, оптимизация сложных запросов) и Python (Pandas, PyAirflow). * Опыт проектирования хранилищ данных и витрин (DWH/OLAP), понимание подходов Data Vault, Kimball или Inmon. * Понимание принципов работы реляционных и колоночных СУБД (например, Greenplum, ClickHouse, PostgreSQL). * Опыт выстраивания процессов CI/CD для BI (использование Git, dbt или аналогов, автоматизация деплоя отчетов). * Опыт работы с инструментами каталогизации данных и профилирования (например, DataHub, Amundsen или аналоги). **Будет плюсом:** * Опыт работы с Databricks, Spark или другими инструментами Big Data. * Опыт внедрения практик Data Governance и Data Lineage на уровне всей компании. * Знание инструментов продуктовой аналитики (Amplitude, Mixpanel) для обогащения BI-отчетов. * Опыт работы в финтехе, телекоме или крупных e-commerce проектах с высокой нагрузкой на данные. * Опыт работы с **Platform V Navigator BI** (или аналогичным корпоративным BI-конструктором от СберТеха). Понимание принципов работы встроенного оркестратора, каталога данных и механизмов мониторинга платформы. Условия * Гибридный формат работы (современный офис в Москве, м. Кутузовская); * Льготные ипотечные условия кредитования; * Подписка Прайм с возможностью совместного использования на трёх близких; * ДМС с первого дня и скидки на страхование для близких; * Корпоративная пенсионная программа; * Детский отдых и подарки за счет Компании; * Обучение за счет Компании: онлайн курсы, неограниченный доступ к библиотеке и обучение на базе Корпоративного университета, тренинги, митапы и возможность получить новую квалификацию.

Location: Oxford, United Kingdom Intellect Care (Counselling/ Psychotherapy) is a collaborative process to guide, explore and/or resolve personal, social, or psychological problems and difficulties. Counselling is most useful when clients seek tools or techniques to support their mental health. Psychotherapy identifies unhelpful patterns of thinking and behaviors which may limit the client's quality of life or daily activities and equip clients with more helpful and effective ways of thinking, behaving and relating to others. This addresses moderately severe mental health experiences. Intellect Care normally spans up to 60 minutes Why Join Us? Become part of a collaborative network of Clinical Psychologists and Counsellors dedicated to expanding access to quality mental health care. At Intellect, you’ll find a supportive community focused on enhancing lives and helping clients overcome personal challenges. What You'll Do Provide 1-on-1 telehealth/or onsite mental health support for Intellect’s clients Address a range of clinical cases, including depression, anxiety, trauma, schizophrenia, eating disorders, addiction, and more Partner with our internal clinical team to improve the platform and client programs. Counsellor: Minimum Masters Degree in Counselling / Counselling psychology with a minimum of 300 hours of counselling experience post qualification & practicum/ placement/ internship Clinical Psychologist: Minimum Masters Degree in Clinical psychology with a minimum of 300 hours of Clinical/Therapy experience post qualification & practicum/ placement/ internship. Expertise: Skilled in Cognitive Behavioral Therapy or other evidence-based approaches (e.g., Motivational Interviewing, DBT, SFBT) License: Must hold valid and active licenses applicable to the country of practice Experience: A minimum of 300 clinical hours post-master’s degree Languages: Proficiency in English and your local language Preferred Background: Prior experience with EAP, adult counseling, or coaching managerial roles Flexibility: Openness to occasional onsite work, if necessary, is a plus If you’re ready to make a meaningful impact and be part of a mission-driven team, we’d love to hear from you. Apply today and join us in transforming mental health care! Requirements Counsellor: Minimum Masters Degree in Counselling / Counselling psychology with a minimum of 300 hours of counselling experience post qualification & practicum/ placement/ internship Clinical Psychologist: Minimum Masters Degree in Clinical psychology with a minimum of 300 hours of Clinical/Therapy experience post qualification & practicum/ placement/ internship. Expertise: Skilled in Cognitive Behavioral Therapy or other evidence-based approaches (e.g., Motivational Interviewing, DBT, SFBT) License: Must hold valid and active licenses applicable to the country of practice Experience: A minimum of 300 clinical hours post-master’s degree Languages: Proficiency in English and your local language Preferred Background: Prior experience with EAP, adult counseling, or coaching managerial roles

Location: Cambridge, United Kingdom Intellect Care (Counselling/ Psychotherapy) is a collaborative process to guide, explore and/or resolve personal, social, or psychological problems and difficulties. Counselling is most useful when clients seek tools or techniques to support their mental health. Psychotherapy identifies unhelpful patterns of thinking and behaviors which may limit the client's quality of life or daily activities and equip clients with more helpful and effective ways of thinking, behaving and relating to others. This addresses moderately severe mental health experiences. Intellect Care normally spans up to 60 minutes Why Join Us? Become part of a collaborative network of Clinical Psychologists and Counsellors dedicated to expanding access to quality mental health care. At Intellect, you’ll find a supportive community focused on enhancing lives and helping clients overcome personal challenges. What You'll Do Provide 1-on-1 telehealth/or onsite mental health support for Intellect’s clients Address a range of clinical cases, including depression, anxiety, trauma, schizophrenia, eating disorders, addiction, and more Partner with our internal clinical team to improve the platform and client programs. Counsellor: Minimum Masters Degree in Counselling / Counselling psychology with a minimum of 300 hours of counselling experience post qualification & practicum/ placement/ internship Clinical Psychologist: Minimum Masters Degree in Clinical psychology with a minimum of 300 hours of Clinical/Therapy experience post qualification & practicum/ placement/ internship. Expertise: Skilled in Cognitive Behavioral Therapy or other evidence-based approaches (e.g., Motivational Interviewing, DBT, SFBT) License: Must hold valid and active licenses applicable to the country of practice Experience: A minimum of 300 clinical hours post-master’s degree Languages: Proficiency in English and your local language Preferred Background: Prior experience with EAP, adult counseling, or coaching managerial roles Flexibility: Openness to occasional onsite work, if necessary, is a plus If you’re ready to make a meaningful impact and be part of a mission-driven team, we’d love to hear from you. Apply today and join us in transforming mental health care! Requirements Counsellor: Minimum Masters Degree in Counselling / Counselling psychology with a minimum of 300 hours of counselling experience post qualification & practicum/ placement/ internship Clinical Psychologist: Minimum Masters Degree in Clinical psychology with a minimum of 300 hours of Clinical/Therapy experience post qualification & practicum/ placement/ internship. Expertise: Skilled in Cognitive Behavioral Therapy or other evidence-based approaches (e.g., Motivational Interviewing, DBT, SFBT) License: Must hold valid and active licenses applicable to the country of practice Experience: A minimum of 300 clinical hours post-master’s degree Languages: Proficiency in English and your local language Preferred Background: Prior experience with EAP, adult counseling, or coaching managerial roles

Location: Banbury, United Kingdom Intellect Care (Counselling/ Psychotherapy) is a collaborative process to guide, explore and/or resolve personal, social, or psychological problems and difficulties. Counselling is most useful when clients seek tools or techniques to support their mental health. Psychotherapy identifies unhelpful patterns of thinking and behaviors which may limit the client's quality of life or daily activities and equip clients with more helpful and effective ways of thinking, behaving and relating to others. This addresses moderately severe mental health experiences. Intellect Care normally spans up to 60 minutes Why Join Us? Become part of a collaborative network of Clinical Psychologists and Counsellors dedicated to expanding access to quality mental health care. At Intellect, you’ll find a supportive community focused on enhancing lives and helping clients overcome personal challenges. What You'll Do Provide 1-on-1 telehealth/or onsite mental health support for Intellect’s clients Address a range of clinical cases, including depression, anxiety, trauma, schizophrenia, eating disorders, addiction, and more Partner with our internal clinical team to improve the platform and client programs. Counsellor: Minimum Masters Degree in Counselling / Counselling psychology with a minimum of 300 hours of counselling experience post qualification & practicum/ placement/ internship Clinical Psychologist: Minimum Masters Degree in Clinical psychology with a minimum of 300 hours of Clinical/Therapy experience post qualification & practicum/ placement/ internship. Expertise: Skilled in Cognitive Behavioral Therapy or other evidence-based approaches (e.g., Motivational Interviewing, DBT, SFBT) License: Must hold valid and active licenses applicable to the country of practice Experience: A minimum of 300 clinical hours post-master’s degree Languages: Proficiency in English and your local language Preferred Background: Prior experience with EAP, adult counseling, or coaching managerial roles Flexibility: Openness to occasional onsite work, if necessary, is a plus If you’re ready to make a meaningful impact and be part of a mission-driven team, we’d love to hear from you. Apply today and join us in transforming mental health care! Requirements Counsellor: Minimum Masters Degree in Counselling / Counselling psychology with a minimum of 300 hours of counselling experience post qualification & practicum/ placement/ internship Clinical Psychologist: Minimum Masters Degree in Clinical psychology with a minimum of 300 hours of Clinical/Therapy experience post qualification & practicum/ placement/ internship. Expertise: Skilled in Cognitive Behavioral Therapy or other evidence-based approaches (e.g., Motivational Interviewing, DBT, SFBT) License: Must hold valid and active licenses applicable to the country of practice Experience: A minimum of 300 clinical hours post-master’s degree Languages: Proficiency in English and your local language Preferred Background: Prior experience with EAP, adult counseling, or coaching managerial roles

Kody is looking for a Data Scientist to analyze payment data, build business intelligence dashboards, and support commercial decisions.

Location: Denver, Colorado, United States, AMER; USA - Austin (dbt) 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 looking for a Manager, Account Management. This role is accountable for a large volume of transactions and a team of individual contributors. The ideal candidate thrives in a fast-paced environment and brings a constant drive to identify and eliminate cumbersome processes, streamline operations, and improve overall efficiency across the team. This role requires strong customer-facing skills, with the ability to engage external customers directly — whether navigating complex renewal conversations, escalations, or strategic account discussions. The ideal candidate is equally comfortable managing up and down: communicating priorities, risks, and progress clearly to senior leadership while coaching and developing individual contributors on the ground. A wide-angle view of the business is essential — this leader must be able to connect day-to-day execution to broader organizational goals and anticipate how decisions at the team level ripple across the company. This is a full-time position based out of our Denver OR Austin office. Our hybrid work model offers a blend of remote flexibility and in-person collaboration, including two days in the office each week to connect and build as a team. What You’ll Do Lead, coach, and develop a team of Account Managers responsible for growth and retention Own team performance looking at renewal uplift, negotiated terms, deal strategy, strategic expansion and product utalization Establish and enforce forecasting discipline Drive consistent account planning and healthy team productivity Partner cross-functionally with Account managers, Customer Success, RevEx, Deal Desk, and Product to ensure seamless execution across the customer lifecycle Optimize processes, tools, and operating cadence to support efficiency in a high-volume, high-growth environment Technologies You’ll Use Salesforce, Catalyst, Slack, Looker, Sigma, Clari, Hex, ChatGPT, Workday, Zendesk, Gong, Outreach, Slab, G Suite, Jira Skills We’re Looking For 1+ year experience managing an account management, growth and/or customer success team. Experience in a SaaS quota-carrying account management or customer success role. Experience in analytics/data tools is a plus! Being customer-centric - building relationships, understanding customer needs, and how we are delivering value. Track record of hitting or exceeding your goals and MBOs. The right balance of self-confidence and humility to lead as an individual contributor. Collaborative and providing constructive feedback to the right teams, so that we can continue to learn and grow. Ability to manage multiple projects and tasks, while staying organized and efficient. Experience with Salesforce is a must. Hiring Process Interview with Talent Acquisition Partner Interview with Hiring Manager Team Interview Final Interview: Sales Leader Challenge Compensation & Benefits The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role. For this role, on-target earnings (OTE) are split 70% base salary and 30% variable compensation. Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process. OTE (On Target Earning) $180,000 — $220,000 USD 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: United States What the Role Is We’re hiring a Staff Software Engineer who’ll be the technical lead for a new Search team at Babylist. This new team will be focused on moving Babylist’s search capability in-house, making our search results more relevant and personalized, and partnering with other teams to transform search in the product from functional to delightful. Registry building is the heart of the Babylist product. Every parent builds a list of dozens of products, from swaddle to stroller, with real stakes (a friend or family member is going to buy these things, and a baby is going to use them). As a universal registry, this registry also typically spans many retailers. This makes registry building on Babylist one of the most interesting search and personalization problems in consumer e-commerce. This is zero-to-one work, with big ambitions. You’d build a search capability from the ground up, with a clear mandate from leadership to do it. In your first year, we expect to have rebuilt search to be highly relevant and personalized, and delivered big bets like universal search: one experience across items we sell and items from other retailers, and across products, guides and registries. We also want to work with Addie, our AI registry assistant, to have LLMs play a role in the search experience. If you want to tune an established search system, this isn’t the right role. If you’ve worked inside a strong search team and want to build a new system from scratch at a company earlier in that journey, read on. What You'll Own A Staff Engineer at Babylist sets direction. You’ll be the technical lead for search: you decide where it goes over the next year or two, sequence the bets that get there, and make the technical and product calls along the way. You’re still in the code and will drive initiatives forward across multiple teams. You’ll have software engineering and machine learning engineering support on the team. A few examples of initiatives you’d drive on the Search team: Build search in-house. Choose the architecture for indexing, retrieval and serving, and plan a seamless migration. The system you design replaces what we use today and is the foundation for everything below. Define what a good result is. Decide how we measure result quality, then improve it through query understanding, ranking and the behavioral signals we collect. Unify search across everything we show. One experience across items we sell and items from other retailers, and across products, guides and registries, including how to rank items we don’t sell next to ones we do. Decide how search and recommendations fit together. Bring what we know about a user and their registry into results, and decide how much retrieval and ranking search shares with our recommendation models. Make search conversational. Work with the Addie team, our AI registry assistant, on queries like “best stroller for urban family,” where the shopper describes a need instead of naming a product. Like every Staff Engineer here, you will: Take a fuzzy business problem from the first sketch through to production, and stay on the hook for whether it actually helped customers. Build the platform or tooling other teams adopt by choice, and own it as it scales. Set the standard for how search builds with AI. Decide what good looks like, build the patterns and evals that get agents there and catch the output that's confidently wrong before it ships. Partner with product, design and data as a peer, shaping what's worth building from the start. Coach Senior engineers through the hard calls, the ambiguous ones as much as the technical ones Who You Are You meet the Staff bar at Babylist. You’ve shipped production systems for enough years to have earned strong opinions, and you hold them loosely. You can pick up an ambiguous problem and start moving before anyone hands you the full picture. You’ve already changed how a team builds with AI, and the new way stuck. On top of that, you’ve worked on search problems before, ideally in an e-commerce setting. This role needs depth in the systems behind search and a clear focus on the people using it. You bring: Hands-on search experience: building and running search in production, including indexing, retrieval, ranking and query understanding. You know how to keep a search service fast, relevant and reliable as traffic and catalog size grow. Experience evaluating search quality: offline and online, including relevance judgments and A/B tests. A focus on the user: you use query data, behavior and judgment about result quality to decide what to build, and you can connect a search change to what shoppers do, and to conversion or revenue. Comfort building from zero: you can define the problem, design the system and own it end to end. You measure yourself by impact: a customer outcome, or a system a dozen teams come to depend on. Compensation We post real numbers. For a US-based Staff Engineer, the starting base salary range is $233,500 to $290,700, plus a target annual bonus of 20 percent of base. That's total target cash of roughly $280,200 to $348,840. On top of that you get meaningful equity and a 401(k) match. Where you start in that range depends on your experience, and your pay grows from there with performance and scope. How We Build AI is the default here. Engineers run agentic sessions for most of the work, and a lot of the interesting engineering now lives in the scaffolding that makes the agents good: the eval harnesses, the curated context, custom review skills and fast CI. Agents also triage incidents and handle a big share of support. A human always owns the outcome. The architecture is intentionally simple: one Rails monolith, MySQL and few moving parts. That's deliberate. Simple infrastructure lets us move fast and lets AI reason about the whole system, so the hardest problems are the ones in front of customers. The Stack Core app: Rails, Packwerk, React, TypeScript, Sidekiq Mobile: iOS (Swift), Android (Kotlin) Data, search & events: MySQL, Snowflake, dbt, Airflow, Weaviate, WarpStream, Hex, Sigma Machine learning: deep learning, matrix factorization, retrieval & ranking, AWS SageMaker, MLflow AI & dev tooling: Claude Code, Devin, Linear, CodeRabbit, Warden, LangChain, Bedrock AgentCore, Maxim Infra & ops: AWS, Kubernetes, Terraform, GitHub Actions, Datadog, incident.io, LaunchDarkly Key integrations: Shopify (payments), Iterable (CRM) Why Babylist An engineer, expecting her first baby, couldn't find the registry she wanted. So she built it. That's how Babylist started, and it's still how we work: engineers solving problems for families. Becoming a parent is one of the biggest moments in a person's life. Millions reach it for the first time every year, making thousands of decisions and figuring it out as they go. That's who we build for, and we're a long way from done. Ten million people give gifts through Babylist every year. We did more than $750M in revenue in 2025, up 45 percent over the year before, and we've been profitable for eight years while staying independent. So you can take on a hard, multi-year problem without watching over your shoulder for the next round or the next correction. And the team is small, around 65 engineers, so what you ship stays visible and your scope stays wide. How We Work Remote-first across the US and Canada, and we have been for years. That's not changing. We trust you to own your time and your outcomes, and we get everyone in a room together twice a year. Teams are small, pods of three to five engineers, so nothing you ship disappears into a committee. You'll work shoulder to shoulder with product, design and data, and with the partners across the business who rely on what you ship. You'll also stay close to customers yourself: sitting in on user interviews, watching session recordings, riding along with support. Here that's part of the engineering job, on a regular basis. How We Hire Three rounds, usually two to three weeks start to finish. Recruiter conversation (30 minutes). Trade context: what you want next, what we're building and straight answers on comp, team and remote. Technical screen (1 hour). One round, no AI, language-agnostic. Reach for Google when you normally would. We just want to see how you reason from first principles. Final round (4 hours). Four one-hour interviews: system design, AI-assisted coding with the tools you'd actually use here, product sense and culture and values. You'll hear back either way within 24 to 48 hours. Benefits Company-paid medical and fully covered dental and vision A 401(k) match Generous paid parental leave for birthing and non-birthing parents, plus a gradual return-to-work program Winter Wonder Week, a paid company-wide week off at the end of the year A remote-work stipend Mental-health and wellness support A Few Things to Know We record and transcribe interviews to evaluate candidates, in line with applicable privacy laws. We expect you to use AI in your work and we welcome it in the process, but what you submit and say should reflect your own thinking. If you have a family member or close relationship with a Babylist employee, let your recruiter know. Official outreach only ever comes from an @babylist.com address

This position will own the data pipelines, transformations, and reporting processes that support accurate, complete, and timely furnishing of customer account information to credit bureaus. Own recurring credit bureau furnishing operations, including data preparation, validation, submissions, bureau feedback, exception resolution, and reconciliation.

Workplace: Москва и Краснодар (гибрид/офис), другие города - удаленно Мы ищем ведущего ML-инженера, который возьмёт на себя развитие ML-направления в команде, работающей над продуктами для управления ценами, прогнозирования спроса и формирования коммерческих рекомендаций. Один из основных проектов — система рекомендаций регулярных цен на уровне SKU × магазин. Система анализирует исторические продажи, цены, промо, остатки, будущие поставки, характеристики товаров и магазинов, а также внешние данные, после чего: прогнозирует спрос при различных ценовых сценариях; оценивает ценовую эластичность рекомендует повышение, снижение или сохранение цены прогнозирует влияние решения на продажи, оборот, маржу и EBITDA рассчитывает уверенность модели и риск падения продаж позволяет сравнивать прогноз с фактическим эффектом после применения рекомендации Задачи Развивать модели прогнозирования спроса и ценовой эластичности Исследовать подходы к causal inference и оценки эффекта изменения цены Проектировать временную валидацию, backtesting и бизнес-метрики качества Работать с uncertainty, confidence, intermittent demand, cold start и long-tailSKU Разрабатывать логику выбора оптимальной цены с учётом бизнес-ограничений Организовать оценку plan/fact и мониторинг качества моделей Участвовать в проектировании feature engineering, batch training и batchinference на больших объёмах данных Проводить design review, code review Требования Сильную базу в классическом ML, статистике и работе с табличнымиданными Опыт с forecasting, временными рядами и gradient boosting: LightGBM,CatBoost или XGBoost Понимание causal inference и экспериментального дизайна Опыт доведения ML-моделей до production Уверенное владение Python и SQL Понимание временной валидации, data leakage, calibration и uncertaintyestimation. Опыт работы с Airflow или аналогичным оркестратором Понимание принципов распределённой обработки данных, партиционирования и оптимизации вычислений Умение связывать ML-метрики с измеримым бизнес-эффектом Будет плюсом Опыт в retail, e-commerce, pricing или demand forecasting Практический опыт с PySpark, Trino, Iceberg, S3, dbt или ClickHouse Опыт с price optimization, hierarchical forecasting или operations research Опыт построения ML-мониторинга и проведения A/B-тестов Текущий стек: Python, LightGBM, Airflow, dbt, Trino, Apache Iceberg, Parquet,S3, PostgreSQL, ClickHouse, Kubernetes и gRPC Условия Оформление в аккредитованную ИТ-компанию Конкурентоспособную заработную плату (обсуждается индивидуально) ДМС со стоматологией и льготными условиями для членов семьи Технику для работы График работы 5/2 с гибким началом Работу в максимально уютном офисе в Москве на ст. м. Савеловская, в Краснодаре или удаленно из других городов РФ, так же есть ИТ офисы в Санкт-Петербурге и Иннополисе Возможность проведения и участия в митапах, хакатонах, где есть возможность познакомиться с работой других подразделений Возможность реализовать свой опыт и потенциал в интересных и многоплановых проектах, получить новый интересный опыт в решении сложных задач Наличие корпоративных скидок и программ лояльности Наличие корпоративной библиотеки курсов Формат работы Москва и Краснодар (гибрид/офис), другие города - удаленно

* Build and operate batch and incremental ingestion pipelines in Google Cloud to Smartly Data Platform. * Develop Airflow workflows using Python with best orchestration practices, including dag dependencies, retries, backfills, alerting, and recovery.

Миграция attribution-пайплайна на core DWH, витрины в BigQuery, data quality. Стек: SQL (expert), Python, dbt, Airflow, Git.

Responsibilities: — Develop production models for factory planning, pricing, forecasting, inventory, and capacity decisions. Requirements: — Experience with OR-Tools, SQL, Snowflake, PostgreSQL, dbt, Python, Dagster. — Knowledge of forecasting, linear programming, simulation, integer programming, optimisation, constraint programming, and heuristics. Benefits: — Remote work opportunity.

Location: San Francisco Perplexity is AI for people who expect more. This role brings that same standard to how our data team works, with AI at the center of everything we do. We're looking for someone who's been a great data scientist, analytics engineer, or data engineer: the kind of person who knows which metric actually matters, can design an A/B test that answers the real question, has gone deep on a data model because something didn't add up, and has decided that the highest-leverage thing they can do next is build AI systems that fundamentally change how data science gets done. You'll build AI agents and internal systems that can increasingly handle end-to-end analysis workflows: forming hypotheses, writing and running queries, interpreting results, and drafting recommendations with the right evaluation, review, and guardrails. You'll build the retrieval infrastructure and evaluation loops that let AI systems query the warehouse reliably. You'll create workflows that detect, diagnose, and help fix data issues before they become company-wide problems. You'll build the infrastructure that multiplies what a small data team can ship. You'll join a data team that's already using AI across its work. The next step is turning those individual workflows into scalable systems, shared tools, and an AI-native operating model that becomes a benchmark for how modern data teams work.   WHAT YOU'LL DO - Build AI agents that do data science - not just SQL copilots, but systems that can safely explore data, form hypotheses, run queries, interpret results, and generate actionable recommendations with clear evaluation and human review loops. - Make AI systems query the warehouse reliably - build the retrieval infrastructure and evaluation loops that let agents use our semantic context and metadata accurately. - Accelerate the AI-native data workflow - turn the best existing AI-assisted workflows into repeatable systems, reusable tools, and patterns the whole data team can adopt. - Automate the data lifecycle - build self-healing pipelines, automated dbt model generation and validation, data quality agents, and diagnosis workflows that reduce manual firefighting. - Ship AI-powered experiment analysis - build agents that interpret A/B test results, flag statistical issues, identify likely drivers, and draft ship/no-ship recommendations. - Turn the data team into a product team - build internal data products that stakeholders use every day, replacing ad hoc requests with self-serve AI interfaces. - Own the full lifecycle - identify high-leverage problems, prototype with LLMs, evaluate accuracy, design the UX, ship to production, and monitor quality over time. WHAT WE'RE LOOKING FOR - 6+ years in data science, analytics engineering, data engineering, or a related role. You've been close enough to real data work to know what should and should not be automated. - Deep SQL and analytics judgment - you can reason through metrics, experiments, data models, and messy warehouse reality without relying on a tool to think for you. - Strong product sense - you understand what stakeholders actually need, what makes a workflow adoptable, and how to turn a prototype into a product people use. - Hands-on LLM experience - you've built with frontier models, agents, RAG systems, evals, or AI-powered workflows and have opinions about where they work and where they fail. - Pipeline and modeling fluency - you've worked with dbt, warehouse schemas, data quality issues, and the practical tradeoffs behind durable data systems. - Builder mentality - you see a manual process and immediately think about how to systematize it. You ship fast, measure quality, and iterate. - Autonomy - this is a new function. You'll help define the roadmap as much as execute it. BONUS - Experience building production AI agents or agent evaluation systems. - Experience with Snowflake, semantic layers, or metadata systems. - Experience building internal tools, Slack bots, CLIs, or developer productivity products that people actually used. - Strong experimentation background, including metric design and statistical interpretation. - Experience with BI tools and the judgment to know what should be automated versus kept human-reviewed. - Early-stage startup experience. WHY THIS ROLE - Set the standard for the industry - Perplexity's data team is already using AI across its work. You'll turn that into something other data teams look to as the benchmark. - Build AI with AI - Perplexity builds AI for people who expect more. You'll bring that same level of ambition to how the company works with data. - Frontier models, day one - you're at an AI company with access to frontier infrastructure and people who deeply understand what's possible. - Massive leverage - the systems you build will multiply the output of every data team member and every stakeholder who needs data. - Direct impact - small team, no layers of approval. Idea to shipped system in days, not quarters.

Location: San Francisco Perplexity is AI for people who expect more. This role brings that same standard to how our data team works, with AI at the center of everything we do. We're looking for someone who's been a great data scientist, analytics engineer, or data engineer: the kind of person who knows which metric actually matters, can design an A/B test that answers the real question, has gone deep on a data model because something didn't add up, and has decided that the highest-leverage thing they can do next is build AI systems that fundamentally change how data science gets done. You'll build AI agents and internal systems that can increasingly handle end-to-end analysis workflows: forming hypotheses, writing and running queries, interpreting results, and drafting recommendations with the right evaluation, review, and guardrails. You'll build the retrieval infrastructure and evaluation loops that let AI systems query the warehouse reliably. You'll create workflows that detect, diagnose, and help fix data issues before they become company-wide problems. You'll build the infrastructure that multiplies what a small data team can ship. You'll join a data team that's already using AI across its work. The next step is turning those individual workflows into scalable systems, shared tools, and an AI-native operating model that becomes a benchmark for how modern data teams work.   WHAT YOU'LL DO - Build AI agents that do data science - not just SQL copilots, but systems that can safely explore data, form hypotheses, run queries, interpret results, and generate actionable recommendations with clear evaluation and human review loops. - Make AI systems query the warehouse reliably - build the retrieval infrastructure and evaluation loops that let agents use our semantic context and metadata accurately. - Accelerate the AI-native data workflow - turn the best existing AI-assisted workflows into repeatable systems, reusable tools, and patterns the whole data team can adopt. - Automate the data lifecycle - build self-healing pipelines, automated dbt model generation and validation, data quality agents, and diagnosis workflows that reduce manual firefighting. - Ship AI-powered experiment analysis - build agents that interpret A/B test results, flag statistical issues, identify likely drivers, and draft ship/no-ship recommendations. - Turn the data team into a product team - build internal data products that stakeholders use every day, replacing ad hoc requests with self-serve AI interfaces. - Own the full lifecycle - identify high-leverage problems, prototype with LLMs, evaluate accuracy, design the UX, ship to production, and monitor quality over time. WHAT WE'RE LOOKING FOR - 6+ years in data science, analytics engineering, data engineering, or a related role. You've been close enough to real data work to know what should and should not be automated. - Deep SQL and analytics judgment - you can reason through metrics, experiments, data models, and messy warehouse reality without relying on a tool to think for you. - Strong product sense - you understand what stakeholders actually need, what makes a workflow adoptable, and how to turn a prototype into a product people use. - Hands-on LLM experience - you've built with frontier models, agents, RAG systems, evals, or AI-powered workflows and have opinions about where they work and where they fail. - Pipeline and modeling fluency - you've worked with dbt, warehouse schemas, data quality issues, and the practical tradeoffs behind durable data systems. - Builder mentality - you see a manual process and immediately think about how to systematize it. You ship fast, measure quality, and iterate. - Autonomy - this is a new function. You'll help define the roadmap as much as execute it. BONUS - Experience building production AI agents or agent evaluation systems. - Experience with Snowflake, semantic layers, or metadata systems. - Experience building internal tools, Slack bots, CLIs, or developer productivity products that people actually used. - Strong experimentation background, including metric design and statistical interpretation. - Experience with BI tools and the judgment to know what should be automated versus kept human-reviewed. - Early-stage startup experience. WHY THIS ROLE - Set the standard for the industry - Perplexity's data team is already using AI across its work. You'll turn that into something other data teams look to as the benchmark. - Build AI with AI - Perplexity builds AI for people who expect more. You'll bring that same level of ambition to how the company works with data. - Frontier models, day one - you're at an AI company with access to frontier infrastructure and people who deeply understand what's possible. - Massive leverage - the systems you build will multiply the output of every data team member and every stakeholder who needs data. - Direct impact - small team, no layers of approval. Idea to shipped system in days, not quarters.