Location: Anywhere in France
Workplace: Hybrid
HEALTH CAN’T WAIT.
Not for symptoms to get worse. Not for a six‑month appointment. Not for a system to catch up. But that’s exactly how healthcare works today. You wait, until you can’t.
Alan exists to end the wait.
Health is a universal right, and we believe this right can only become real when it’s coupled with prevention. We need to stop treating health as something we repair and start treating it as something we build, every day. It’s not solely a question of willpower. It’s the healthcare system itself that needs to work for everyone, in a sustainable way.
So we are building the new standard in prevention insurance. Alan is the first company that integrates insurance, prevention, and care into a single, acclaimed user experience.
We are on an incredible journey to build a global leading company, with a unique culture https://alan.com/en/careers. We already partner with 40K+ companies of all sizes, serving more than 1M+ members, and have reached €800M+ in ARR.
Prevention as the new norm. That's what we're building with our team of 1000+ people. If it speaks to you: we're hiring across France, Spain, Belgium, and Canada. And beyond.
⭐️ THE INSURANCE TEAM ⭐️
Being part of Alan's insurance community is a great opportunity to have a significant impact on people's health and wellbeing in our multiple countries of operation.
- We are at the heart of Alan’s mission, bringing to the team our technical leadership and expertise on healthcare and death & disability insurance.
- We work hand in hand with our data scientists, designers, engineers and product managers to build the most differentiating products and provide a delightful experience at a fair price.
- We build and manage offers for large companies and public institutions with our sales and account management teams.
- We make sure our portfolio is closely monitored and risks are effectively managed.
- We also manage our capital, steer our reinsurance strategy and maintain a trusting relationship with our insurance regulators.
️ ⭐️ YOUR ROLE ⭐️ ️
- Partner with sales teams to price and develop compelling proposals for very large corporate clients and public institutions
- Serve as a trusted technical advisor in client meeting, delivering expert insights that build confidence in our solutions
- Design delightful insurance products meeting both member needs and regulatory requirements
- Support key account managers in nurturing and renewing our most strategic client relationships
- Develop scalable tools, frameworks and knowledge resources that empower further our sales teams
⭐️ IS IT YOU WE’RE LOOKING FOR? ⭐️
You would thrive in this role if you:
- Are able to navigate and synthesize technical, data, legal and business considerations related to health and income protection insurance
- 2 years of experience in Health and/or "Prevoyance" Insurance are a big plus but are not required
- Are analytical and structured, with a fact-based decision-making style
- Are excited about bringing technical expertise in a business-centric context
- Are willing to deeply change the insurance industry and challenge the status quo
- Approach challenges with a scalability perspective, continuously identifying opportunities to optimize processes and systems
- Have strong written communication skills, with the ability to simplify complex concepts
- Are fluent in both French (French clients) and English (Alan’s working language)
For this role we are looking to hire within the C1-F level range https://alan.com/en/careers/a/salary-equity.
🌍 HOW WE WORK
- Location: You must be legally eligible to work from France.
- Remote work: We offer remote work flexibility, but we value in-person collaboration
🎯 IMPORTANT NOTE: WE HIRE PEOPLE, NOT ROLES.
If you're excited about this opportunity but don't check every box, we'd love to hear from you. Everyone, no matter how underrepresented, should feel free to apply, as it can only bring learnings or success.
If you identify yourself as a woman: Did you know that research shows women often apply only when meeting 100% of requirements?
Remember, this is just a guide, not a checklist. We'll be thrilled to receive your application!
🔖 Check out our About Alan https://alan.com/about and Career https://alan.com/careers pages, as well as our Medium https://medium.com/alan, blog https://blog.alan.com/ and Glassdoor page https://www.glassdoor.com/Overview/Working-at-Alan-EI_IE1696043.11,15.htm for more info.
YOU WANT TO KNOW MORE ABOUT ALAN?
🙌 Perks & Benefits https://alan.com/en/careers/a/salary-equity: Alaners are provided with a stimulating environment and perks ensuring they are happy, efficient and spend only high-quality time with co-workers.
🤘A strong culture https://alan.com/en/about/a/leadership-principles: People joining Alan are often surprised and delighted by our innovative working method. We have a set of cultural values that guide our approach to work
You'll lead the team that builds the intelligence every ZoomInfo AI agent reasons over — what's true about companies and the people in them, how they relate, and what they're buying. You'll set the technical bar for a team of senior engineers while staying close to the code, shipping alongside the people you lead.
Location: Paris, France
Workplace: Hybrid
HEALTH CAN’T WAIT.
Not for symptoms to get worse. Not for a six‑month appointment. Not for a system to catch up. But that’s exactly how healthcare works today. You wait, until you can’t.
Alan exists to end the wait.
Health is a universal right, and we believe this right can only become real when it’s coupled with prevention. We need to stop treating health as something we repair and start treating it as something we build, every day. It’s not solely a question of willpower. It’s the healthcare system itself that needs to work for everyone, in a sustainable way.
So we are building the new standard in prevention insurance. Alan is the first company that integrates insurance, prevention, and care into a single, acclaimed user experience.
We are on an incredible journey to build a global leading company, with a unique culture https://alan.com/en/careers. We already partner with 40K+ companies of all sizes, serving more than 1M+ members, and have reached €800M+ in ARR.
Prevention as the new norm. That's what we're building with our team of 1000+ people. If it speaks to you: we're hiring across France, Spain, Belgium, and Canada. And beyond.
⭐️ THE DATA FOUNDATIONS TEAM ⭐
At Alan, every decision we make about our members' care, contracts and claims is a data decision. The Data Foundations team builds the platform that makes those decisions possible in a safe way.
- Being part of the Data Foundations team means you’ll build, maintain, and improve the Data Platform used by everyone at Alan.
- We enable Alan’s data-driven nature and help our colleagues make the most of their data.
- Partner closely with people across Alan (technical and non-technical) to understand their needs and build data solutions they can trust and use effectively.
- We own and manage all data-related tools that power Alan.
- AI is changing the way companies work with data: agents are becoming first-class users of our data warehouse. It opens a world of new usage and exciting features, as well as concerns around security, data quality and governance. We are building the foundations that allow Alan to make the most of this exciting new paradigm.
- Alan is expanding quickly: we went from 4 to 6 countries this year and we won’t stop there. Our objective is to onboard new countries in weeks, not months. Having strong data foundations is a cornerstone of that expansion, allowing our teams to make sense of a patchwork of insurance systems, regulations and reporting rules.
- Examples of our missions:
- improve the developer experience when building and maintaining data pipelines,
- enable reliable and secure access to our data warehouse for Alaners and AI agents,
- strengthen security and governance around our data assets,
- define and implement standard data practices across Alan,
- maintain and evolve our core data infrastructure to accommodate Alan's international expansion and growing product breadth…
- Our core tools include Python, Airflow, Snowflake, AWS/GCP, Metabase, Terraform, dbt, and others.
- Who you'll work with: Data Foundations is a small, high-leverage team inside the Tech Foundations area, whose mission is to enable product crews through world-class infrastructure, developer experience, operational excellence, and built-in security. You'd be joining as one of its core engineers, working daily with the whole Data community at Alan.
🎯 EXPECTED SKILLS AND ABILITIES
You would thrive at Alan if most of this sounds like you:
- Passionate about owning ambitious problems and developing simple solutions for them.
- 3+ years of experience demonstrating impact in Data positions. We welcome candidates from early-career to highly experienced profiles. You may already have strong expertise in Data Engineering, or be an experienced data or software engineer looking to deepen your specialization in this area.
- Experience building and operating production data infrastructure: orchestration (Airflow or similar), a cloud data warehouse, infrastructure as code.
- Experience designing systems, tools or libraries used by other engineers, scientists or analysts.
- Proficient in Python and SQL. Setting a high standard of rigor and precision for yourself, interested in your craft.
- Curious about AI and eager to use it thoughtfully to increase your impact.
- Great listening and communication skills.
- Humble, kind, collaborative, and still willing to grow (no matter your seniority!).
- Fluent and clear in English, both oral and written (no need to speak French!).
For this role, we are looking to hire within the C0-E level range https://alan.com/en/careers/a/salary-equity.
⚙️ IMPORTANT NOTE: WE HIRE PEOPLE, NOT ROLES.
If you're excited about this opportunity but don't check every box, we'd love to hear from you. Everyone, no matter how underrepresented, should feel free to apply, as it can only bring learning or success.
If you identify yourself as a woman: Did you know that research shows women often apply only when meeting 100% of requirements?
Remember, this is just a guide, not a checklist.
We'll be thrilled to receive your application!
🔖 Check out our About Alan https://alan.com/about and Career https://alan.com/careers pages, as well as our Medium https://medium.com/alan, blog https://blog.alan.com/ and Glassdoor page https://www.glassdoor.com/Overview/Working-at-Alan-EI_IE1696043.11,15.htm for more info.
YOU WANT TO KNOW MORE ABOUT ALAN?
- 🙌 Perks & Benefits https://alan.com/en/careers/a/salary-equity: Alaners are provided with a stimulating environment and perks ensuring they are happy, efficient and spend only high-quality time with co-workers.
- 🤘 A strong culture https://alan.com/en/about/a/leadership-principles: People joining Alan are often surprised and delighted by our innovative working method. We have a set of cultural values that guide our approach to work
🔄 A quick note about the process
Note: While you're applying for a specific area, you may join a different engineering team based on where we think you'll have the most impact. Check out descriptions of other areas here https://www.notion.so/Software-Engineering-Areas-Alan-2c61426e8be7805bacd2cdbc08c32640?pvs=21.
#LI-DNP
Разработка детальных планов реализации проектов: декомпозиция задач, распределение ресурсов, определение критического пути; Контроль соблюдения сроков, бюджета и качества результатов по всем активным проектам;
Комьюнити Менеджер «Арк» это лидер, который несет ответственность за членов делового сообщества и всячески им помогает используя деловые связи и ресурсы компании.
-Design, build, and maintain data infrastructure and pipelines spanning both batch and real-time / streaming workloads, contributing to architectural decisions along the way. -Build and maintain scalable, efficient, and reliable ETL/ELT pipelines using languages and frameworks such as Python, SQL, Spark, Flink, Beam, or equivalents.
Ищем Python-разработчика / AI Engineer уровня Middle+ / Senior на проект по автоматизации обработки и сверки финансовых документов.
Проект связан с разработкой сервиса, который будет принимать акты сверки и внутренние выгрузки, извлекать из них данные, сопоставлять документы, находить расхождения и формировать понятный результат для пользователя.
Задачи:
— Разбирать и обрабатывать документы в форматах Excel, PDF и сканы.
— Извлекать табличные данные из документов.
— Нормализовать даты, номера документов, суммы и другие поля.
— Проектировать и реализовывать логику сопоставления данных.
— Выявлять расхождения между двумя источниками.
— Обрабатывать сложные кейсы: разные периоды, отличающиеся номера, частичные совпадения и другие неоднозначные ситуации.
— Интегрировать OCR и Document AI-инструменты.
— При необходимости использовать LLM для интерпретации и формирования человекочитаемых объяснений.
— Разрабатывать backend/API для сервиса.
— Участвовать в проектировании архитектуры MVP.
— Работать с реальными обезличенными финансовыми документами и тестировать качество решения на исторических данных.
Требования:
— Коммерческий опыт разработки на Python от 3 лет.
— Уверенное владение Python.
— Опыт работы с pandas и табличными данными.
— Опыт обработки Excel / CSV.
— Опыт парсинга PDF.
— Опыт разработки backend-сервисов и REST API.
— Понимание алгоритмов сопоставления, нормализации и очистки данных.
— Умение проектировать решение самостоятельно, а не только работать по готовому ТЗ.
— Опыт работы с Git.
Будет большим плюсом:
— Опыт с OCR: Tesseract, PaddleOCR или аналогами.
— Опыт с PyMuPDF, pdfplumber, Camelot, Tabula.
— Опыт с fuzzy matching.
— Опыт работы с Document AI / Intelligent Document Processing.
— Интеграция LLM API: OpenAI, Azure OpenAI, YandexGPT или аналогов.
— Опыт разработки систем reconciliation / data matching.
— Опыт работы с финансовыми, бухгалтерскими или другими структурированными документами.
— Опыт On-Premise решений.
— Опыт построения решений, где нужно сочетать детерминированную бизнес-логику и AI.
Что здесь не требуется:
— Мы не ищем классического Data Scientist и не планируем обучение собственных ML-моделей с нуля.
В проекте важнее:
— сильная прикладная Python-разработка;
— работа с документами и данными;
— построение надежной логики сопоставления;
— понимание, где действительно нужен AI, а где лучше использовать обычные алгоритмы.
О проекте:
— На первом этапе планируется разработка MVP без глубокой интеграции с внутренними учетными системами.
— Базовый сценарий: пользователь загружает акт сверки и внутреннюю выгрузку, система извлекает и нормализует данные, выполняет сопоставление, показывает совпадения и расхождения, формирует структурированный результат для пользователя.
— Ожидаемый результат — рабочий прототип, который можно проверить на реальных исторических данных.
Условия:
— Удалённая работа.
— Проектная занятость / аутстафф.
— Возможна полная или частичная загрузка — обсуждается индивидуально.
— Проект стартует с этапа MVP, с возможностью продолжения.
— Работа в составе небольшой проектной команды.
Ожидаемый уровень: Middle+ / Senior
Нам нужен специалист, который сможет самостоятельно разобраться в предметной области, предложить техническое решение и довести его до рабочего результата.
Будет преимуществом в отклике:
— опыт похожих задач: обработка документов, OCR, reconciliation / matching, financial data processing, Document AI, LLM-интеграции.
— указание текущей доступности, возможной загрузки в часах в месяц, часовой ставки, формата работы (ИП / самозанятый / другой).
Location: Singapore, Singapore
Who We Are
At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom.
OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves.
Across our multiple offices globally, we are united by our core principles:
We Before Me
,
Do the Right Thing
, and
Get Things Done
. These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more.
About the Opportunity
OKX
Data Team
is responsible for the whole data scope of OKG, from techincal selection, architecture design, data ingestion, data storage, ETL, data visualization to business intelligence and data science. We are data engineers, data analysts and data scientists. The team has end-to-end ownership of most of the data at OKx throughout the whole data lifecycle including data ingestion, data ETL, data warehouse and data services. As a
Product Manager
of the team, you will work with the team to leverage data technologies to empower evidence-based decision-making and improve the quality of the company's products and services.
What You’ll Be Doing
Deeply understand business goals and pain points
: Work closely with business teams to understand their day-to-day data needs, identify core metric frameworks and key insight opportunities, and proactively propose data-driven solutions.
End-to-end data solution design
: Translate business requirements into data requirements, owning the full lifecycle from event tracking design, data modeling, and metric definition to dashboard design, launch, and acceptance.
Build and standardize business metric systems
: Lead the definition of core metrics, unify calculation logic, and design and implement dashboards to ensure standardized analysis and end-to-end business traceability.
Drive data product adoption
: Partner with business teams to promote data tools within departments and establish standard operating procedures (SOPs).
Data governance and quality assurance
: Continuously monitor the stability of event tracking and metrics, ensure data consistency, and help drive standardized data governance processes.
What We Look For In You
7+ years of experience
in data product management or related roles; experience at leading internet/technology companies is a plus.
Strong familiarity with data ecosystems
, including event tracking systems, A/B testing frameworks, metric systems, and BI data pipelines, with hands-on design or management experience.
Ability to
quickly understand complex business logic
and break down ambiguous requirements into actionable, executable solutions.
Excellent cross-functional communication and execution skills
, with strong ownership and project leadership mindset.
English and Mandarin Chinese proficiency
sufficient for use as a working language as the role involves liaising with various stakeholders in chinese-speaking markets.
Perks & Benefits
Competitive total compensation package
L&D programs and Education subsidy for employees' growth and development
Various team building programs and company events
Wellness and meal allowances
Comprehensive healthcare schemes for employees and dependants
More that we love to tell you along the process!
Notice:
All official
OKX
vacancies are published on this website.
While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated.
If in doubt, please apply directly through our official careers website.
Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to
OKX
's
Candidate Privacy Notice
.
Location: New York, NY (HQ); Remote (US)
Workplace: Hybrid
ABOUT RAMP
Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $275B in annualized spend flows in and out of 85,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books.
The problems are high-stakes, data-dense, and unforgiving.
We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome.
The median Ramp customer saves 7.5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same.
If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it.
ABOUT THE ROLE
We’re seeking someone to lead the future of fraud machine learning at Ramp. In this role, you will help build core machine learning models, design data architectures, and set strategic roadmaps to help Ramp mitigate fraud-related threats while minimizing the friction experience by legitimate users. You will partner closely with product and engineering counterparts across model design, implementation, execution, and analysis.
WHAT YOU’LL DO
- Employ statistical and machine learning techniques on large datasets to discover patterns of fraud, platform abuse, and identity theft
- Prototype and productionize machine learning models and rules-based systems to protect Ramp and its users from fraud
- Partner closely with Fraud Engineering and Data Platform teams to augment and leverage data across first and third party sources, ensuring we’ve added as much context as possible to every decision we make
- Contribute to the culture of Ramp’s machine learning team by influencing processes, tools, and systems that will allow us to make better decisions in a scalable way
WHAT YOU NEED
- Bachelor’s degree or above in Math, Economics, Physics, Computer Science, or other quantitative fields
- A minimum of 5 years of industry experience as a Machine Learning Engineer, Applied Scientist or Data Scientist
- Strong python experience (numpy, pandas, sklearn, pytorch etc.) across ML techniques and backend engineering
- Prior experience deploying Machine Learning models to production and making meaningful contribution to backend systems
- Strong knowledge of SQL (Snowflake, Postgres, etc.)
- Fluency with agentic (AI) tools for software development and data analysis
- Ability to thrive in a fast-paced, constantly improving, start-up environment that focuses on solving problems with iterative technical solutions
NICE-TO-HAVES
- PhD in Math, Economics, Physics, Computer Science, or other quantitative fields
- Context on Fraud and/or Identity Threat detection systems
- Experience at a high-growth startup
- Experience with the modern data stack ( Snowflake / Hex / dbt / RisingWave / etc )
- Strong perspective on data science + ML engineering development cycle, especially in a post-AI setting
- Experience developing LLM-backed systems or tools
BENEFITS AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL)
- Flexible PTO
- Centralized home-office equipment ordering
- Health and wellness stipend
- Budget for intra-office travel
- Weekly coffee stipend
UNITED STATES
- 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents
- One Medical annual membership
- 401(k), including employer match on contributions made while employed by Ramp
- Fertility HRA (up to $10,000 per year)
- Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay
- Pet insurance
- In-office perks: lunch, snacks, drinks, and more
- Relocation expense coverage to NYC or SF (if needed)
CANADA
- Group medical, dental, and vision coverage through Sun Life
- Life, AD&D, and disability coverage
- Fertility drug coverage (up to $4,000 lifetime)
- Group Retirement Plan with employer match (RRSP + DPSP)
- Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay
- Employee Assistance Program and virtual care through Lumino Health
UNITED KINGDOM
- Private medical insurance through Freedom Elite
- Virtual GP and at-home care via eMed x Livi
- Workplace pension through Penfold, with salary sacrifice option
- Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay
REFERRAL INSTRUCTIONS
If you are being referred for the role, please contact that person to apply on your behalf.
OTHER NOTICES
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Beware of recruiting scams: Ramp will only contact you through official @Ramp.com http://Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.
Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice
Location: Oakland, California, United States, AMER
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
As a Senior Technical Product Marketing Manager at Fivetran + dbt Labs, you will play a pivotal role in shaping the market perception of Fivetran+dbt Labs: building compelling narratives, driving product adoption, and shaping how our products are used and understood by our enterprise customers. This is a highly cross-functional, generalist technical PMM role that will support key product areas as needed and help scale technical product marketing across the organization. This role ensures our marketing efforts align with the technical depth, clarity, and value our customers expect. Technical Product Marketing Managers at Fivetran+dbt Labs stay current on the evolving data and analytics landscape, modern data infrastructure, and emerging trends such as AI. This role is perfect for someone who’s as comfortable digging into the details of our features and our users’ needs as they are with telling a big-picture story about where our platform and industry are headed.
This is not a Product Marketing role focused solely on executing requests from the product or sales teams. Product Marketing at Fivetran+dbt Labs is highly strategic and cross-functional, collaborating across product, marketing, GTM, customer success, and executive teams to shape the direction of our product offerings and deliver customer impact. If you are passionate about driving strategy, fostering cross-functional partnerships, and contributing to transformative initiatives in the data and AI space, we’d love for you to apply.
What You’ll Do
Content Development & Messaging: Create high-impact technical collateral across the Fivetran platform, including architecture diagrams, demos, white papers, blogs, pitch decks, technical guides, and other customer-facing content. Develop thought leadership that translates complex technical concepts into clear, value-based messaging for technical audiences. Review and edit materials across the product portfolio to ensure technical accuracy, consistency, and strategic alignment.
Customer & Market Insights: Conduct research on market trends, customer needs, and competitive dynamics across the modern data ecosystem to inform product positioning and messaging. Partner closely with Product Management to deeply understand features, technical capabilities, and customer use cases across multiple product areas. Develop how-to guides, demo videos, case studies, and technical whitepapers that support adoption and expansion across key products.
Cross-Functional Collaboration: Act as a technical marketing partner to GTM Product Marketers, Demand Generation, Regional Marketing, Sales, and Enablement to support launches, campaigns, webinars, field events, and sales plays across priority product areas. Collaborate with Partner Marketing to showcase integrations and ecosystem partnerships through joint initiatives such as webinars, workshops, and hands-on labs.
Technical Expertise: Operationalize technical product marketing best practices across teams. Stay up to date with trends in data integration, cloud data platforms, AI, deployment models, governance, etc. Serve as technical SME on the Fivetran platform, articulating how it fits into customers’ broader data stacks and workflows. Provide best practices, reference architectures, and technical validation to support sales cycles and customer conversations.
Thought Leadership: Represent Fivetran as a platform expert through events, presentations, webinars, and hands-on labs. Support analyst relations and strategic conversations by providing detailed technical insights and validating product innovation across the portfolio. Help position Fivetran as a foundational component of modern, scalable data infrastructure.
Skills We’re Looking For
2-4 years of experience in product marketing, data engineering, product management, sales engineering, and/or data and analytics consulting
Data industry experience and expertise: Either hands-on work with or knowledge of data engineering with a focus on data integration, databases, data warehouses, and related technologies (e.g. SQL, dbt, python, Spark).
Technical aptitude and a desire to learn more: Knowledge of modern data infrastructure and tools, particularly in relation to data lakes and their role in analytics and storage. Has a keen interest in all things data integration and cloud destinations and a willingness to work on new product areas as they arise.
Experience working with multiple different teams: Proven experience partnering and coaching across Product, Sales, Marketing, and Enablement teams to deliver impactful results.
Strong in-person, virtual, and written communication: Exceptional verbal and written communication skills, capable of adapting messaging for different technical personas and mediums.
Highly-organized with an excellent project management track record: Strong project management skills to juggle multiple initiatives and projects, maintain proactive communication with stakeholders, and meet deadlines.
An understanding of our target customers: The ability to gain a deep understanding of the needs and challenges of data engineers, data scientists, data architects, and technical stakeholders.
#LI-Hybrid
#LI-JC1
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. 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.
Oakland Pay Range
$178,069
—
$222,586 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: Denver, Colorado, United States, AMER
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
As a Senior Technical Product Marketing Manager at Fivetran + dbt Labs, you will play a pivotal role in shaping the market perception of Fivetran+dbt Labs: building compelling narratives, driving product adoption, and shaping how our products are used and understood by our enterprise customers. This is a highly cross-functional, generalist technical PMM role that will support key product areas as needed and help scale technical product marketing across the organization. This role ensures our marketing efforts align with the technical depth, clarity, and value our customers expect. Technical Product Marketing Managers at Fivetran+dbt Labs stay current on the evolving data and analytics landscape, modern data infrastructure, and emerging trends such as AI. This role is perfect for someone who’s as comfortable digging into the details of our features and our users’ needs as they are with telling a big-picture story about where our platform and industry are headed.
This is not a Product Marketing role focused solely on executing requests from the product or sales teams. Product Marketing at Fivetran+dbt Labs is highly strategic and cross-functional, collaborating across product, marketing, GTM, customer success, and executive teams to shape the direction of our product offerings and deliver customer impact. If you are passionate about driving strategy, fostering cross-functional partnerships, and contributing to transformative initiatives in the data and AI space, we’d love for you to apply.
What You’ll Do
Content Development & Messaging: Create high-impact technical collateral across the Fivetran platform, including architecture diagrams, demos, white papers, blogs, pitch decks, technical guides, and other customer-facing content. Develop thought leadership that translates complex technical concepts into clear, value-based messaging for technical audiences. Review and edit materials across the product portfolio to ensure technical accuracy, consistency, and strategic alignment.
Customer & Market Insights: Conduct research on market trends, customer needs, and competitive dynamics across the modern data ecosystem to inform product positioning and messaging. Partner closely with Product Management to deeply understand features, technical capabilities, and customer use cases across multiple product areas. Develop how-to guides, demo videos, case studies, and technical whitepapers that support adoption and expansion across key products.
Cross-Functional Collaboration: Act as a technical marketing partner to GTM Product Marketers, Demand Generation, Regional Marketing, Sales, and Enablement to support launches, campaigns, webinars, field events, and sales plays across priority product areas. Collaborate with Partner Marketing to showcase integrations and ecosystem partnerships through joint initiatives such as webinars, workshops, and hands-on labs.
Technical Expertise: Operationalize technical product marketing best practices across teams. Stay up to date with trends in data integration, cloud data platforms, AI, deployment models, governance, etc. Serve as technical SME on the Fivetran platform, articulating how it fits into customers’ broader data stacks and workflows. Provide best practices, reference architectures, and technical validation to support sales cycles and customer conversations.
Thought Leadership: Represent Fivetran as a platform expert through events, presentations, webinars, and hands-on labs. Support analyst relations and strategic conversations by providing detailed technical insights and validating product innovation across the portfolio. Help position Fivetran as a foundational component of modern, scalable data infrastructure.
Skills We’re Looking For
2-4 years of experience in product marketing, data engineering, product management, sales engineering, and/or data and analytics consulting
Data industry experience and expertise: Either hands-on work with or knowledge of data engineering with a focus on data integration, databases, data warehouses, and related technologies (e.g. SQL, dbt, python, Spark).
Technical aptitude and a desire to learn more: Knowledge of modern data infrastructure and tools, particularly in relation to data lakes and their role in analytics and storage. Has a keen interest in all things data integration and cloud destinations and a willingness to work on new product areas as they arise.
Experience working with multiple different teams: Proven experience partnering and coaching across Product, Sales, Marketing, and Enablement teams to deliver impactful results.
Strong in-person, virtual, and written communication: Exceptional verbal and written communication skills, capable of adapting messaging for different technical personas and mediums.
Highly-organized with an excellent project management track record: Strong project management skills to juggle multiple initiatives and projects, maintain proactive communication with stakeholders, and meet deadlines.
An understanding of our target customers: The ability to gain a deep understanding of the needs and challenges of data engineers, data scientists, data architects, and technical stakeholders.
#LI-Hybrid
#LI-JC1
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. 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.
Denver Pay Range
$166,176
—
$207,719.75 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: Anywhere in Spain
HEALTH CAN’T WAIT.
Not for symptoms to get worse. Not for a six‑month appointment. Not for a system to catch up. But that’s exactly how healthcare works today. You wait, until you can’t.
Alan exists to end the wait.
Health is a universal right, and we believe this right can only become real when it’s coupled with prevention. We need to stop treating health as something we repair and start treating it as something we build, every day. It’s not solely a question of willpower. It’s the healthcare system itself that needs to work for everyone, in a sustainable way.
So we are building the new standard in prevention insurance. Alan is the first company that integrates insurance, prevention, and care into a single, acclaimed user experience.
We are on an incredible journey to build a global leading company, with a unique culture https://alan.com/en/careers. We already partner with 40K+ companies of all sizes, serving more than 1M+ members, and have reached €800M+ in ARR.
Prevention as the new norm. That's what we're building with our team of 1000+ people. If it speaks to you: we're hiring across France, Spain, Belgium, and Canada. And beyond.
⭐️ THE INSURANCE TEAM ⭐️
Being part of Alan's insurance community is a great opportunity to have a significant impact on people's health and wellbeing in our multiple countries of operation.
- We are at the heart of Alan’s mission, bringing to the team our technical leadership and expertise on healthcare and death & disability insurance.
- We work hand in hand with our data scientists, designers, engineers and product managers to build the most differentiating products and provide a delightful experience at a fair price.
- We build and manage offers for large companies and public institutions with our sales and account management teams.
- We make sure our portfolio is closely monitored and risks are effectively managed.
- We also manage our capital, steer our reinsurance strategy and maintain a trusting relationship with our insurance regulators.
️ ⭐️ THE INSURANCE EXPERT ROLE IN SPAIN ⭐️
The role of an Insurance Expert at Alan is to:
- Monitor the business and the risks,
- Help the rest of the team understand the subtleties of healthcare and insurance.
Being an Insurance Expert at Alan in Spain means:
- Being part of a small and talented team currently working on delivering the best experience to our members
- Recent missions include:
- Defining the pricing and re-pricing strategy of the different products
- Improving margin monitoring
- Collaborating with the Key Account Managers team to make sure they are equipped with the right tools to deliver the best experience to their customers
- Analyzing the profitability of the portfolio and suggesting action points
- Being part of an insurance community at the global level, with an impact on our organization, hiring and training across multiple countries.
⭐️ IS IT YOU WE’RE LOOKING FOR? ⭐️
You may be a great fit for the role if:
- You have at least 6+ years of experience in health insurance
- You are fluent in English
- Knowledge of the trends from the sector, of the pricing/repricing business decisions and market practices
- You combine a quantitative background (statistics, actuarial sciences) with an experience in insurance products and business
- You are able to navigate and synthesize technical, data, business and legal questions related to insurance
- You have a builder mindset, continuously identifying opportunities to scale and optimize processes and systems
- You are willing to deeply change the insurance and healthcare industry and challenge the status quo
It would be even better if:
- You are fluent in Spanish or willing to learn Spanish
- You have experience coordinating with teams based in another country
- You have connections and a deep understanding of the Spanish health insurance market
🌍 HOW WE WORK
Location: You must be legally eligible to work from Spain
Remote work: We offer remote work flexibility yet would ideally hire around our Spanish hubs (Madrid, Barcelona)
🎯 IMPORTANT NOTE: WE HIRE PEOPLE, NOT ROLES.
If you're excited about this opportunity but don't check every box, we'd love to hear from you. Everyone, no matter how underrepresented, should feel free to apply, as it can only bring learnings or success.
If you identify yourself as a woman: Did you know that research shows women often apply only when meeting 100% of requirements?
Remember, this is just a guide, not a checklist. We'll be thrilled to receive your application!
🔖 Check out our About Alan https://alan.com/about and Career https://alan.com/careers pages, as well as our Medium https://medium.com/alan, blog https://blog.alan.com/ and Glassdoor page https://www.glassdoor.com/Overview/Working-at-Alan-EI_IE1696043.11,15.htm for more info.
YOU WANT TO KNOW MORE ABOUT ALAN?
🙌 Perks & Benefits https://alan.com/en/careers/a/salary-equity: Alaners are provided with a stimulating environment and perks ensuring they are happy, efficient and spend only high-quality time with co-workers.
🤘A strong culture https://alan.com/en/about/a/leadership-principles: People joining Alan are often surprised and delighted by our innovative working method. We have a set of cultural values that guide our approach to work
About Magic Eden and Dicey
Magic Eden reached unicorn status in just 9 months after launch, one of the fastest in history. They built a category-defining NFT marketplace from scratch and are now developing Dicey, a crypto casino and sportsbook platform targeting the $180B+ iGaming and sports betting markets. The team is small and fully remote, focusing on fast shipping, data-driven decisions, and rebuilding growth operations around AI.
The role
The position focuses on personalized retention in the iGaming industry, owning the full post-signup journey. Responsibilities include expanding the player segmentation framework, designing and running targeted offers and campaigns, and managing the associated P&L lever. The role is explicitly AI-native, involving building workflows, agents, and pipelines to run lifecycle campaigns efficiently. Half the job is problem identification, the other half is running experiments to find solutions.
What you'll do
— Own retention and monetization as a growth loop, setting targets, finding leverage, and driving post-signup metrics
— Own and evolve the player segmentation framework, deciding signals and company usage
— Build the AI-native growth stack including analysis, agents, and automated pipelines for segment surfacing, offer generation, and campaign execution
— Design and ship targeted offers such as reload bonuses, lossback, wager bounties, challenges, and win-back sequences; size, specify, ship, and measure them
— Analyze data warehouse and on-chain data to find patterns and create campaigns proactively
— Expand player signals including on-chain activity, status-match programs, social account linking, and others
— Run campaigns across channels like email, in-app, Telegram, with AI handling heavy lifting
— Collaborate with engineering and design to create product surfaces that enable repeatable processes
What they're looking for
— Strong intuition for player psychology and incentive design; experience in gambling, gaming, fintech, or consumer marketplaces is helpful
— Deep analytical skills, able to independently perform cohort analyses without waiting for data scientists
— AI-native mindset, already using AI to write queries, build analyses, and automate work, with desire to advance further
— High output with good judgment, generating many ideas and prioritizing tests effectively
— Bias to do it yourself, comfortable executing emails, queries, and specs personally
— Comfortable with ambiguity and building new playbooks
Backgrounds that tend to fit
— Growth PM at data-heavy consumer companies
— MBB consultants transitioning to product ownership
— Product-minded data scientists or analysts focused on shipping rather than reporting
Why this is interesting
— Competitive, top-of-market compensation
— Defining the role of a growth PM in an AI-native company without existing playbooks
— Early involvement in personalized retention, a key industry trend
— Real ownership of segmentation framework, product surface, and P&L lever with direct access to founders
Задачи:
— Разбирать и обрабатывать документы в форматах Excel, PDF и сканы.
— Извлекать табличные данные из документов.
— Нормализовать даты, номера документов, суммы и другие поля.
— Проектировать и реализовывать логику сопоставления данных.
— Выявлять расхождения между двумя источниками.
— Обрабатывать сложные кейсы: разные периоды, отличающиеся номера, частичные совпадения и другие неоднозначные ситуации.
— Интегрировать OCR и Document AI-инструменты.
— При необходимости использовать LLM для интерпретации и формирования человекочитаемых объяснений.
— Разрабатывать backend/API для сервиса.
— Участвовать в проектировании архитектуры MVP.
— Работать с реальными обезличенными финансовыми документами и тестировать качество решения на исторических данных.
Требования:
— Коммерческий опыт разработки на Python от 3 лет.
— Уверенное владение Python.
— Опыт работы с pandas и табличными данными.
— Опыт обработки Excel / CSV.
— Опыт парсинга PDF.
— Опыт разработки backend-сервисов и REST API.
— Понимание алгоритмов сопоставления, нормализации и очистки данных.
— Умение проектировать решение самостоятельно, а не только работать по готовому ТЗ.
— Опыт работы с Git.
Будет большим плюсом:
— Опыт с OCR: Tesseract, PaddleOCR или аналогами.
— Опыт с PyMuPDF, pdfplumber, Camelot, Tabula.
— Опыт с fuzzy matching.
— Опыт работы с Document AI / Intelligent Document Processing.
— Интеграция LLM API: OpenAI, Azure OpenAI, YandexGPT или аналогов.
— Опыт разработки систем reconciliation / data matching.
— Опыт работы с финансовыми, бухгалтерскими или другими структурированными документами.
— Опыт On-Premise решений.
— Опыт построения решений, где нужно сочетать детерминированную бизнес-логику и AI.
Что здесь не требуется:
— Классический Data Scientist и обучение собственных ML-моделей с нуля.
— В проекте важнее: сильная прикладная Python-разработка; работа с документами и данными; построение надежной логики сопоставления; понимание, где действительно нужен AI, а где лучше использовать обычные алгоритмы.
О проекте:
— На первом этапе планируется разработка MVP без глубокой интеграции с внутренними учетными системами.
— Базовый сценарий: пользователь загружает акт сверки и внутреннюю выгрузку, система извлекает и нормализует данные, выполняет сопоставление, показывает совпадения и расхождения, формирует структурированный результат для пользователя.
— Ожидаемый результат — рабочий прототип, который можно проверить на реальных исторических данных.
Условия:
— Удалённая работа.
— Проектная занятость / аутстафф.
— Возможна полная или частичная загрузка — обсуждается индивидуально.
— Проект стартует с этапа MVP, с возможностью продолжения.
— Работа в составе небольшой проектной команды.
— Ожидаемый уровень Middle+ / Senior.
— Специалист должен самостоятельно разобраться в предметной области, предложить техническое решение и довести его до рабочего результата.
Будет преимуществом в отклике:
— Опыт похожих задач: обработка документов; OCR; reconciliation / matching; financial data processing; Document AI; LLM-интеграции.
— Указание текущей доступности, возможной загрузки в часах в месяц, часовой ставки, формата работы: ИП / самозанятый / другой.
О проекте:
Мы строим Customer Intelligence & Personalization Platform для зарубежной экосистемы бизнесов.
Задачи:
— Принимать технические решения и самостоятельно реализовывать ключевые части платформы.
— Владеть архитектурой и развитием Data Core.
— Проектировать слои Bronze / Silver / Gold и модели данных.
— Исследовать банковские, legacy- и внешние источники, восстанавливать их семантику.
— Строить pipelines от raw-данных до подготовленных data products.
— Разрабатывать трансформации на SQL / dbt / Python.
— Определять инженерные стандарты для ELT, data modelling, metadata, lineage и data quality.
— Развивать data catalog и metadata-as-code подход.
— Проектировать data contracts и интеграции Data Core с другими компонентами.
— Переводить исследовательские решения и ручные процессы в production.
— Работать с Git, CI/CD, Docker, Linux и закрытыми Dev/UAT-контурами.
— Взаимодействовать с инженерами и data scientist в команде.
Требования:
— Опыт работы Lead / Staff / Principal Data Engineer или сильного Senior с архитектурным ownership.
— Опыт проектирования и самостоятельной реализации data platform / DWH / Lakehouse.
— Знания Core banking / legacy banking systems.
— Опыт с Customer 360 / Golden Record / MDM.
— Сильный SQL и уверенный Python.
— Опыт работы с dbt или аналогичными transformation frameworks.
— Опыт работы с Airflow / Dagster / Prefect или аналогами.
— Хорошее понимание data modelling, historization, grain и master entities.
— Практический опыт data quality, lineage и metadata management.
— Знание Data Vault 2.0.
— Опыт работы с OpenMetadata или другими data catalog solutions.
— Умение самостоятельно принимать технические решения и отвечать за результат.
— Опыт работы с плохо документированными источниками.
— Навыки работы с Git, CI/CD, Docker, Linux.
— Практический AI-native способ разработки.
Условия:
— Оформление: ИП.
— Формат работы: полная занятость.
— Локация: Ереван либо готовность к регулярным командировкам (до 2 раз в месяц на несколько дней) в Ереван для работы с данными и специалистами заказчика.
— Уровень дохода обсуждается индивидуально.
Location: SF or Remote (US/Canada)
At Render, we’re building the modern cloud platform for developers creating AI-native, full-stack, multi-service applications. Our mission is to eliminate the tradeoff between the power of hyperscalers and the simplicity of developer-friendly platforms—so teams can ship fast, scale reliably, and focus on their product, not infrastructure.
Unlike complex hyperscalers or ephemeral edge/serverless solutions, Render offers a developer-first experience with persistent compute, dynamic autoscaling, built-in orchestration, and observability, allowing teams to launch, scale, and manage real-world applications without writing infrastructure code or managing servers. Whether you're building LLM-powered applications, scalable SaaS products, or async processing pipelines, Render empowers teams to move fast and scale confidently from MVP to millions of users.
Our platform is trusted by over 7 million developers worldwide and continues to grow rapidly. In February 2026, we raised an additional $100M in Series C financing, bringing our total funding to $260M, to accelerate our vision of making cloud infrastructure both powerful and intuitive—designed for the speed of modern AI development.
We’re a diverse and talented team that values craft, velocity, and user experience. If you’re excited to help shape the future of the intelligent cloud and empower developers everywhere, we’d love to hear from you.
APPLYING TO RENDER
We're seeking candidates who possess high integrity, humility, and an insatiable drive to learn. Through reasoned discussions and continuous feedback, we strive to improve both individually and collectively. We foster an environment of mutual trust and respect, empowering effective debate to achieve the best outcomes for our customers and team.
We especially encourage members of underrepresented groups in the tech community to apply and understand that not all successful candidates will meet each requirement listed.
Our interview process is unique to each role, and we value the candidate experience just as much as our customer experience. We hope your conversations with us reflect a thoughtful process that is illuminative, enjoyable, and respectful of your time.
ABOUT THE ROLE
We're looking for a Senior/Staff Analytics Engineer to join our growing Data team and lead the evolution of our Analytics Engineering platform. As Render scales, you'll build the foundations that turn raw data into trusted, reusable models for analytics, executive reporting, and AI-assisted decision-making.
In this role, you'll partner closely with analysts, scientists, data engineers, and teams across Product, Engineering, Growth, Go-to-Market, Finance, and other business functions. Analysts and scientists will bring domain expertise and own business logic within their areas; you'll own the technical architecture, modeling standards, and engineering practices that help that work scale reliably.
As a Senior/Staff-level individual contributor, you'll set the technical direction for Analytics Engineering at Render—strengthening data quality, improving the developer experience, and building semantic and context layers that make data easier to discover and use. You'll help teams move faster with consistent metrics and maintainable models they can trust.
WHAT YOU'LL DO
- Own our Analytics Engineering architecture. Guide the long-term evolution of Render’s Analytics Engineering platform, strengthening foundational models so our data remains trusted, scalable, and ready for AI-assisted analytics.
- Build trusted, reusable data models. Design, build, and maintain governed dbt models that serve as authoritative sources for business-critical metrics across Product, Engineering, Growth, Go-to-Market, Finance, and other teams.
- Establish engineering standards. Define and improve practices for data modeling, testing, documentation, version control, CI/CD, and code review. Review high-impact dbt changes and reduce technical debt across the analytics codebase.
- Enable self-service and AI-assisted analytics. Design and maintain semantic and context layers that make metrics consistent, data discoverable, and analysis reliable for both people and AI tools.
- Partner closely with analysts and scientists. Help analysts and scientists translate domain-specific business logic into scalable, maintainable warehouse models, moving shared logic out of individual reports and dashboards and into governed datasets.
- Improve reliability and efficiency. Partner with Data Engineering to strengthen source data quality, warehouse architecture, and BigQuery performance and cost efficiency.
- Raise the bar for Analytics Engineering. Mentor analysts, scientists, and analytics engineers on dbt development, dimensional modeling, and engineering best practices, and help teams adopt shared standards.
WHAT WE'RE LOOKING FOR
- 7+ years of experience in Analytics Engineering, Data Engineering, or a related technical field, including at least 3 years of hands-on experience running dbt in production.
- Expert-level SQL skills and a track record of designing and owning scalable Kimball dimensional models.
- Deep expertise in modern Analytics Engineering practices, including Git, testing, CI/CD, documentation, data contracts, lineage, and governance.
- Experience building semantic and context layers, trusted metrics, and warehouse architectures that support self-service analytics for humans and AI agents across multiple business domains.
- Strong understanding of modern cloud data warehouse architecture, performance optimization, and cost efficiency, with experience in platforms such as BigQuery, Databricks, or Snowflake.
- A track record of establishing technical standards, influencing engineering practices without formal authority, and improving reliability while reducing technical debt.
- Proven ability to partner closely with analysts, scientists, and business stakeholders to translate requirements into scalable, maintainable data models.
- Excellent communication skills. You can explain complex technical concepts and tradeoffs to technical and non-technical audiences and build alignment across teams.
- Experience building data models that connect product usage, acquisition, CRM, and financial data across the customer lifecycle.
- Experience using AI-assisted coding or analytics tools such as Codex, Cursor, or Claude Code to accelerate data modeling, testing, documentation, or exploration.
NICE-TO-HAVES
- Hands-on experience with Render’s analytics stack, including BigQuery, Segment, dbt, and analytics tools such as Metabase or Mixpanel.
- Experience with developer-focused, product-led, sales-led, or usage-based businesses.
- Knowledge of cloud infrastructure, PaaS, developer tooling, or other technically complex products.
If this role excites you but you don’t meet every single requirement, we’d still love to hear from you—your unique experience might be just what we need.
BENEFITS
- 4 weeks of paid vacation.
- 14 weeks of fully paid parental leave for all parents to bond with a newly born, adopted, or fostered child. We will also work with you to create a supportive plan of return.
- Long-term disability, life insurance, and 401K plans.
- 100% employer-paid medical coverage and 99% employer-paid dental and vision coverage for you and a dependent. FSAs and HSAs are available as well.
- Monthly lifestyle stipend for wellness, mental health and therapy, hobbies, etc.
- Monthly cell phone and internet subsidy.
- Commuter benefits for Renders in the Bay Area, and home office stipends for remote Renders.
- Continuous learning benefits & related support.
This position is generally not eligible for new visa sponsorship. At Render's discretion, the business may sponsor existing visa transfers. Applicants who require sponsorship must receive business authorization.
Render is an equal-opportunity employer. We know that employing a team rich in diverse thoughts, experiences, and opinions allows our employees, product, and community to flourish. We make all employment decisions including hiring, evaluation, termination, promotional, and training opportunities, without regard to race, religion, color, sex, age, national origin, ancestry, sexual orientation, physical handicap, mental disability, medical condition, disability, gender or identity or expression, pregnancy or pregnancy-related condition, marital status, height and/or weight.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
We encourage all who are interested to apply. We can't wait to hear from you!
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ГибридParis, France; We welcome candidates from early-career to highly experienced profiles
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Настройте подбор один раз, и подходящие вакансии будут сами приходить в Telegram.
Настройте подбор, и подходящие вакансии будут приходить в Telegram.
