Location: United States (Remote)
Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at
grafana.com
and follow us on
LinkedIn
and
X
.
We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do.
You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity.
The Opportunity
Grafana Labs is looking for a Sales Operations Manager to support our GTM organization by managing advanced models, improving our data structure, and strengthening our operational processes. Reporting to the Sr Director of Field Operations, this role will focus on target setting, quota creation, and reporting for our consumption based product suite.
The ideal candidate is highly analytical, excels at translating complex business realities into structured models, and thrives in a fast-paced, data-heavy environment.
What you'll be doing:
Improve and maintain core models of our account base as it relates to consumption growth across the GTM organization.
Partner with the larger Revenue Operations and Compensation team to manage monthly compensation updates and drive improvements in existing processes.
Conduct deep-dive analyses on our customer product engagement to drive decisions around our product investment, GTM segmentation, and territory planning decisions.
Work within Google BigQuery (SQL) to extract large datasets for reporting. Influence data orchestration between BigQuery, Google Sheets, and compensation tools to streamline calculations and execution of compensation.
Manage exceptions directly with Sales.
Independently execute ad-hoc reporting requests, delivering actionable insights
What Makes You a Great Fit:
4+ years of experience in strategy and operations, consulting, business analytics, or compensation.
Comfort working with large datasets and ambiguous problems, with the ability to distill key takeaways.
Strong problem-solving skills – able to translate business challenges into structured models and insights.
Excellent communication skills with executive audiences - explain “what it is”, “why it matters” and “what should we do” in terms of your data and analysis.
Ability to work independently and drive analysis with minimal guidance.
Expert-level Excel or Google Sheets modeling skills, including advanced formulas, pivot tables, and data visualization.
Proficiency in SQL and data orchestration between BigQuery and GTM tools
Experience with Salesforce reporting, dashboards, validation rules, and flows.
Experience with compensation tools like Xactly, Apttus, or CaptivateIQ
Bonus Points For:
Previous experience in open source
Experience with data visualization tools like Tableau or Looker. Grafana visualization as a plus
Compensation & Rewards:
In the United States, the OTE (On-Target Earnings) compensation range for this role is $
125,000
- $148
,000
Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally.
#LI-Remote
*Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process.
Why You’ll Thrive at Grafana Labs:
100% Remote, Global Culture -
As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose.
Scaling Organization
– Tackle meaningful work in a high-growth, ever-evolving environment.
Transparent Communication
– Expect open decision-making and regular company-wide updates.
Innovation-Driven
– Autonomy and support to ship great work and try new things.
Open Source Roots
– Built on community-driven values that shape how we work.
Empowered Teams
– High trust, low ego culture that values outcomes over optics.
Career Growth Pathways
– Defined opportunities to grow and develop your career.
Approachable Leadership
– Transparent execs who are involved, visible, and human.
Passionate People
– Join a team of smart, supportive folks who care deeply about what they do.
In-Person onboarding
- We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it.
Balance is Key
- We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect.
*We will comply with local legislation where applicable.
Equal Opportunity Employer:
Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow.
Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings.
#LI-Remote
For information about how your personal data is used once you’ve applied to a job, check out our
privacy policy
.
Location: Remote; Slovakia (Remote); Spain (Remote); Czechia (Remote); Switzerland (Remote); Portugal (Remote); USA (Remote); Austria (Remote); Iceland (Remote); Hungary (Remote); Ireland (Remote); UK (Remote); Romania (Remote); Poland (Remote)
Workplace: Remote
WHO WE ARE
Hi, we're DuckDuckGo, the online protection company and remote-first team of 400+ on a mission to raise the standard of trust online. Founded in 2008 and profitable since 2014, our annual revenue is in the hundreds of millions USD and millions use our browser on Mac https://spreadprivacy.com/introducing-duckduckgo-for-mac/, Windows https://spreadprivacy.com/windows-browser-open-beta/, iOS https://spreadprivacy.com/duckduckgo-privacy-browser-ios14/, and Android https://spreadprivacy.com/introducing-app-tracking-protection/, our search engine https://duckduckgo.com/, and the DuckDuckGo subscription https://duckduckgo.com/pro. We also offer private, useful, and optional AI, including Duck.ai https://duck.ai/, which lets you chat privately with ChatGPT, Claude, and other AIs, all in one place.
Our culture https://duckduckgo.com/how-we-work of trust, inclusivity, and empowered project management underpins everything we do, where each team member takes full ownership of their projects, from scoping and execution to postmortem. If you're seeking end-to-end ownership of your work, you've come to the right place!
YOUR TEAM AND ROLE
Working on the Data Science Functional Team, you'll drive product and business impact through statistical modeling, experiment design, Bayesian marketing analysis, and classifier implementation across our search engine, instant answers, AI, and revenue optimization, and work on related projects. Recent projects include:
- Defining core growth metrics for our products and building the infrastructure to monitor trends and anomalies
- Measuring the impact of major marketing campaigns for Duck.ai http://duck.ai, translating full-funnel data into actionable decisions
- Building monitoring pipelines to detect unexpected shifts in search traffic patterns faster and more reliably
- Expanding evaluation datasets for page context understanding across complex scenarios like multi-tab browsing and content reattachment
- Improving the trigger systems that determine when AI-assisted answers surface in DuckDuckGo Search, balancing quality and our privacy-first approach
Our data meets rigorous privacy standards and is necessarily sparse, so you'll need to think creatively to surface actionable insights in an evidence-first culture where quantitative rigor is the baseline, not the exception.
ABOUT YOU
- You have 7+ years of experience in Data Science and a track record of leading high-complexity projects from scoping to production with minimal direction.
- You can do 2 or more of the following:
- Deploy and iterate on ML in production environments
- Develop and deploy NLP solutions
- Apply knowledge of LLMs including fine-tuning, LLM-as-judge, and AI-assisted development
- Conduct marketing campaign analysis using Bayesian methods
- You write production-grade code in Python or a comparable high-level language.
- You have advanced SQL and query optimization skills, familiarity with columnar databases like BigQuery, Clickhouse, Redshift, or Druid; experience with a BI tool like Tableau or PowerBI is a plus.
- You can design, implement, and analyze experiments across product surfaces, and are comfortable deriving insights from sparse or privacy-constrained data.
- You collaborate effectively with product teams and contribute to overall team throughput.
COMPENSATION
This role is paid on a regional pay scale, in local currency, and stock options:
- United States: $190,500 USD annually
- United Kingdom: £134,600 GBP annually
- Canada: C$253,500 CAD annually
- Europe/Rest of World: €157,350 EUR annually
In Spain, pay is expected to transition to the EUR scale on January 1, 2027, and in other Europe/Rest of World countries on February 1, 2027.
Compensation is transparent across the organization, and all team members within the same professional level and global region receive the same compensation.
Eligibility for company-sponsored health benefits is limited to team members based in the United States. This program does not extend to team members located in other countries, such as Canada or the UK.
Our Team Member Support Guide https://duckduckgo.com/assets/hiring/team_support_guide.pdf explains how we prioritize your wellbeing including paid parental leave, office setup, and co-working allowances.
HIRING PROCESS
Hiring works best when it's a two-way street. Learn how we help you get to know DuckDuckGo, envision your future role here, and find out more about how we hire https://duckduckgo.com/how-we-hire.
DIVERSITY, EQUITY, AND INCLUSION
DuckDuckGo provides equal work opportunities to all team members and applicants, and it prohibits discrimination and harassment of any type on the basis of race, color, ethnicity, caste, religion, age, sex (including pregnancy), national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by our policies or federal, state, or local laws.
We want to ensure that our hiring process is accessible. If you need reasonable accommodation for any part of the application process because of a medical condition or disability, please send an email to careers@duckduckgo.com to let us know the nature of your request.
PLEASE NOTE THAT:
- You’ll be required to attend meetings on camera via video conferencing
- Expect to travel at least two times a year: once for our all-hands meetup and again for a team retreat (each around 4-5 days). While extenuating circumstances may impact attendance, everyone is strongly encouraged to attend.
- While we offer a flexible work arrangement with no core hours, expect an average full-time commitment of 40 hours per week.
- A successful candidate must pass a background check as a condition of joining the team.
- By applying for this role, you confirm that all information submitted is accurate and complete. You further acknowledge that providing false or fraudulent information during the application process is cause for denial of an offer, revocation of any existing offer, or other adverse action, up to and including termination after the start of your commencement of work.
DISCLOSURE STATEMENT: USE OF AI IN HIRING PROCESS
As part of our commitment to enhancing our recruitment process, we utilize artificial intelligence (AI) technology to assist in reviewing and summarizing job applications and test projects, including those tools integrated into our recruitment vendor platforms. We use AI to flag potentially fraudulent applications, analyze and summarize applicants’ experience, interviews, and project performance, and help streamline our selection process.
KEY PRINCIPLES:
- Data Privacy: All information provided in your application will be handled in accordance with our Recruiting Privacy Policy https://duckduckgo.com/static-assets/files/pages/careers/DuckDuckGo-Recruiting-Privacy-Policy-effective-February-5-2025.pdf. We ensure that your personal information is protected and used solely for recruitment purposes.
- Human Oversight and Accountability: The AI technology is designed to support our hiring team by providing insights and summaries of applications and evaluations of test projects against scoring rubrics. All final evaluations and hiring decisions, however, will be made by our hiring team, who will consider the AI's input alongside other factors.
- Transparency: We believe in transparency regarding our hiring practices. If you have any questions about how AI is used in our recruitment process, please feel free to reach out to us.
By submitting your application, you acknowledge and consent to the use of AI technology in our review process. If you would like to request an alternative selection process, please contact us as at careers@duckduckgo.com. Thank you for your interest in joining DuckDuckGo!
#LI-DNI
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
We're looking for a Senior Financial Systems Analyst who will drive the transition from manual, repetitive legacy work to more accurate, streamlined, and automated models, dashboards, and data feeds. Your work will change from week-to-week and month-to-month as you partner with FP&A to redesign how the team plans and forecasts, build new dashboards, and train AI agents to do the tedious stuff automatically. We need someone who combines financial acumen with technical know-how — translating model assumptions and drivers into the right long-term solution, whether that's a Pigment model, a Python script, or an AI agent. You'll also own the trustworthiness of the numbers Finance leaders rely on, building systematic data-quality checks and partnering with the Data/Analytics Engineering team to resolve upstream data issues. And because a fix that only you can maintain isn't really a fix, you'll document your models clearly enough that analysts without a Pigment or Python background can self-serve basic changes — empowering the team with tools that completely solve problems without manual workarounds.
This is a full-time position based out of our Bangalore 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.
Technologies You’ll Use
Pigment, BigQuery, NetSuite, Omni, Sigma, Claude Code
What You’ll Do
Partner directly with FP&A business partners across Sales & Marketing, R&D, and G&A to understand how each team plans, forecasts, and reports today, then work together to identify manual, repetitive Finance work that Pigment integrations, Python scripts, and AI agents can streamline and automate.
Own the end-to-end build of new and migrated Pigment models — data blocks, formulas, workflows, dashboards, and views — turning fuzzy business asks from FP&A into technical solutions people actually want to use.
Collaborate on the design and maintenance of our Pigment architecture, ensuring we avoid a tangled mess of metrics, dimensions, and boards and keep our tools easy-to-navigate.
Team up with your peers on the Finance Systems team to build durable integrations between Pigment, BigQuery, and other finance systems, so the data everyone needs shows up accurately and automatically instead of through manual workarounds.
Put systematic data-quality checks in place — reconciliations, change monitoring, variance alerts — so business partners can trust the numbers without manual effort.
Document what you build clearly enough that a Finance analyst with no Pigment or Python background can self-serve basic changes.
Loop in the Data/Analytics Engineering team when a request needs a new data connection or you find an upstream data problem.
Skills We’re Looking For
5+ years of experience in financial systems, FP&A, or analytics engineering, with hands-on work in an EPM platform (Pigment, Anaplan, Adaptive, or similar) — or an equivalent analytics-engineering background (SQL, dbt, Python) with a strong interest in moving into EPM/finance systems work.
Proven experience using AI agents/LLM tooling to automate finance workflows.
Ability to sit with a Finance stakeholder, listen to a messy description of “how we currently do this,” and come back with a well-scoped technical plan.
Working proficiency in Python — or willingness and ability to learn via Claude Code or Codex.
Strong SQL skills and comfort working in a cloud data warehouse (BigQuery or similar).
High attention to detail — this role will work on models that inform real business decisions, so the ability to audit models and build intuition on outputs matter as much as speed.
Strong communication skills — able to explain a data discrepancy or a modeling trade-off to someone without a systems or data background.
Bonus Skills
Prior experience inside an FP&A or corporate finance function (not just building tools for one from the outside), ideally supporting a Sales, R&D, or G&A finance function specifically.
Prior experience building a Sales Capacity/Planning model or a Supply Chain model in Pigment, Anaplan, or another similar planning platform.
Familiarity with BI tools such as Tableau, Looker, Sigma, or Omni.
Experience with dbt or another data-transformation framework.
#
LI-HYBRID
#LI-DB1
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.
Задачи:
— Проектировать и создавать надёжные backend-микросервисы с использованием Java.
— Повышать устойчивость системы, производительность и мониторинг в облачных средах.
— Настраивать панели наблюдения и телеметрию с использованием нативных сервисов GCP, Grafana и Looker.
— Интегрировать корпоративные решения для данных через Cloud Spanner, Cloud SQL, BigQuery, Cloud Storage и Elastic.
— Тесно сотрудничать в парной модели associate-anchor, активно используя AI-инструменты кодирования (Claude / GitHub Copilot) для ускорения рефакторинга, тестирования и доставки функций.
Требования:
— Практический опыт работы в корпоративных средах с Java и Spring Boot / MVC / WebFlux.
— Опыт проектирования и развертывания сервисов на Google Cloud Platform (GCP).
— Практический опыт использования AI-инструментов разработки (Claude или GitHub Copilot) для рефакторинга, тестирования и отладки в продакшене.
— Глубокие знания в области устойчивости системы, мониторинга и наблюдаемости в облачных экосистемах.
— Опыт работы с контейнеризацией и CI/CD инструментами (Docker, GitHub Actions или Cloud Foundry).
Условия:
— Возможность работать над передовыми проектами.
— Работа в мотивированной и преданной команде.
— Конкурентная зарплата.
— Гибкий график.
— Пакет льгот: медицинская страховка, спорт.
— Корпоративные социальные мероприятия.
— Возможности профессионального развития.
— Хорошо оборудованный офис.
Location: Singapore
About Workato
Workato is the leading Control and Execution Platform for Enterprise AI — the neutral platform enterprises trust to put AI to work across their business. Workato unifies data, applications, and processes into a single platform so AI can reliably orchestrate business processes in production at enterprise scale. Built on more than a decade of running mission-critical processes for over half the Fortune 500 — including Nasdaq, Amazon, Cisco, Vodafone, Atlassian, and Lucid Motors — Workato turns over 14,000 enterprise systems AI needs to act on into one governed execution layer. For more information, visit
workato.com
.
Why join us?
Ultimately, Workato believes in fostering a
flexible, trust-oriented culture that empowers everyone to take full ownership of their roles
. We are driven by
innovation
and looking for
team players
who want to actively build our company.
But, we also believe in
balancing productivity with self-care
. That’s why we offer all of our employees a vibrant and dynamic work environment
along with a multitude of benefits
they can enjoy inside and outside of their work lives.
If this sounds right up your alley, please submit an application. We look forward to getting to know you!
Also, feel free to check out why:
Business Insider
named us an “enterprise startup to bet your career on”
Forbes’ Cloud 100
recognized us as one of the top 100 private cloud companies in the world
Deloitte Tech Fast 500
ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America
Quartz
ranked us the #1 best company for remote workers
Responsibilities
As an Analytics Engineer in the Product Management team, you will own the end-to-end delivery of robust, high-quality data products. You will be responsible for designing, developing, maintaining, and scaling mission-critical data models to provide reliable and accessible product usage data, proactively partnering with Data Engineers, Product Analysts, and business stakeholders. Your key mandate is to transform raw data into actionable insights that directly drive strategic product and business decisions, with a continuous focus on technical excellence and platform optimization.
In this role, y
ou will also be responsible to:
DBT Modeling & Scalability:
Design, develop, and own scalable and maintainable data models using dbt (Data Build Tool), ensuring accurate, intuitive, and consistent data for all end users and stakeholders.
Collaborate actively with Data Analysts and Business Stakeholders to translate complex reporting and analysis needs into production-ready, highly optimized dbt models.
Enforce and evolve our internal dbt conventions and best practices, continuously optimizing the codebase for cleanliness, performance, and cost-efficiency.
Data Reliability and Quality Assurance:
Own and enforce data quality and consistency by implementing robust testing, validation, and cleaning processes on mission-critical source tables.
Implement and manage data monitoring and alerting solutions to ensure data flows and transformations are performing optimally and accurately, and proactively resolve data anomalies and pipeline failures.
Create and maintain comprehensive data documentation and definitions (data dictionaries, process flows) to ensure data literacy, trust, and discoverability for stakeholders
Stakeholder Collaboration & Data Enablement:
Partner with data engineers, product analysts, GTM data teams, and other stakeholders to strategically align data insights with product improvements and business objectives.
Communicate complex data architecture, patterns, and analytical conclusions effectively to both technical and non-technical audiences, driving consensus and action.
Act as a data champion, evangelizing and guiding business users on the most efficient and reliable ways to leverage our data products, accelerating their time to insights
Emerging Technology & Platform Innovation:
Lead the research and evaluation of new tools and technologies, like GenAI, for enhancing data engineering, orchestration, and analysis workflows.
Develop and test high-impact prototypes that demonstrate the potential of emerging technologies (e.g., GenAI) to augment and improve our product usage datasets and data platform capabilities.
Requirements
Qualifications / Experience / Technical Skills
2+ years of experience in an Analytics Engineering or Data Warehousing role.
Expert proficiency in SQL, including advanced techniques like window functions and proven ability in query performance optimization.
Demonstrated expertise in dbt (Data Build Tool) for designing, developing, and maintaining complex data models, coupled with strong functional knowledge of a modern cloud data warehouse (e.g., Snowflake, BigQuery).
Proven ability to apply data engineering best practices, including version control (Git/GitHub), modular coding, and automated testing, to maintain robust and reliable data pipelines.
Strong understanding of data modeling principles (e.g., star/snowflake schemas, Slowly Changing Dimensions) and how to apply them to solve analytical business problems.
Proficiency in Python or another scripting language is required.
Experience with data orchestration tools (e.g., Airflow, Dagster) for building and managing data workflows.
Soft Skills / Personal Characteristics
Resourceful, results-oriented, and autonomous, with a proven track record of owning the full lifecycle of analytical projects from ambiguous requirements to final delivery and business impact.
Excellent verbal and written communication and stakeholder management skills, with the ability to translate complex data logic for non-technical audiences and effectively drive cross-functional alignment.
(REQ ID: 2867)
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 Team
The Semantic Layer team owns the systems that turn dbt models into trusted, reusable business metrics. At the heart of this is
MetricFlow
— the open-source semantic engine that powers the dbt Semantic Layer. MetricFlow lets data teams define metrics once in code and consume them consistently across BI tools, notebooks, AI agents, and downstream applications.
This team is the steward of MetricFlow as an open-source project: shipping releases, reviewing community contributions, evolving the query compiler, and ensuring it integrates cleanly with the broader dbt ecosystem. You'll work at the intersection of language design, query compilation, and distributed data execution — solving problems that directly shape how thousands of organizations measure their business.
About the Role
We're hiring a Senior Software Engineer to join the Semantic Layer team in Bangalore. You'll be a core contributor to MetricFlow — designing features, optimizing query generation, hardening the open-source codebase, and partnering with the community of contributors and adopters around it. This is a high-ownership role: you'll write production code, drive technical decisions, and help shape the long-term architecture of one of the most important projects in the modern data stack.
What You'll Do
Design, build, and maintain core features of MetricFlow, including metric definitions, query compilation, dimensional modeling, and SQL generation across multiple data warehouses (Snowflake, BigQuery, Databricks, Redshift, and others).
Own MetricFlow as an open-source project — triage issues, review external pull requests, manage releases, and engage the community on GitHub and in Slack.
Collaborate with engineers across dbt Cloud, dbt Core, and the Semantic Layer service to ensure MetricFlow integrates seamlessly with the rest of the dbt ecosystem.
Improve performance, reliability, and observability of metric query execution at scale.
Partner with product, design, and developer-relations teammates to translate customer and community feedback into shipped improvements.
Write clear technical documentation, RFCs, and design docs that raise the bar for how the team thinks and ships.
Mentor other engineers through code review, pairing, and technical guidance.
Skills We're Looking For
Strong professional software engineering experience, with a strong track record of shipping production systems.
Deep proficiency in
Python
, including modern typing, testing practices, and packaging.
Strong SQL fundamentals and a working understanding of how analytical query engines and data warehouses execute queries.
Experience designing systems that involve parsing, compilation, or transformation — for example: query planners, DSL compilers, type systems, or rule-based engines.
Solid grasp of software design principles: clean APIs, modularity, testability, and backwards compatibility.
Excellent written and verbal communication — you can explain complex tradeoffs clearly to engineers, PMs, and external community members.
Experience collaborating in a distributed, asynchronous team environment.
Bonus Skills (Optional)
Prior experience contributing to or maintaining a popular open-source project.
Familiarity with dbt, MetricFlow, LookML, Cube, or other semantic-layer technologies.
Background in data warehousing internals, query optimization, or analytical SQL dialects.
Experience with CI/CD, GitHub Actions, and release engineering for Python libraries.
Exposure to building developer-facing APIs, SDKs, or CLIs.
Why Join Us
Impact at scale:
Your code will run inside the data platforms of tens of thousands of companies, including some of the world's largest enterprises.
Open-source ownership:
You'll be a public, named maintainer of a foundational project — your work is visible, reviewed, and used by the global data community.
A team that values craft:
We invest in design docs, code review, and durable engineering. We ship fast, but we don't ship sloppy.
Competitive compensation:
Market-leading salary, equity, comprehensive health insurance, generous time off, learning & wellness stipends, and home-office support.
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: Serbia; Greece; Romania; Malta; Estonia; Poland
Open to candidates across EU / EMEA time zones (UTC+0 to UTC+3)
FP Markets Group of Companies
is a well-established multi-regulated broker, founded in Australia, offering traders access to CFD trading on Forex, Indices, Commodities, Stocks and Cryptocurrencies. We are growing and looking to recruit a Full-time Paid Social & Mobile App Growth Manager.
You will own two of our biggest growth levers: paid social across web and app, and mobile app growth from install to first-time deposit (FTD). Sitting in the Growth Team (Global Paid Growth), you will set strategy, run a multi-channel budget and decide each month where spend goes, web sign-ups or app installs, based on cost per FTD and return on ad spend (ROAS). You will own the numbers from impression to FTD and beyond.
How success is measured
Leads and FTDs from paid social (web) and from the app, by source and region.
Cost per install, cost per registration and CPA per FTD against target, by region and platform.
Install-to-FTD conversion rate.
30 / 90-day ROAS on web and app cohorts.
Spend within the approved monthly budget.
App store conversion rate (page view to install), keyword rankings and average rating.
Responsibilities
Strategy and budget
Own the paid social and mobile app acquisition strategy, budget and forecast across all target regions.
Decide each month how spend splits between web and app objectives, based on cost per FTD, ROAS and install-to-FTD conversion.
Manage monthly budget pacing with Marketing Operations, reallocating spend weekly based on CPA, ROAS and cohort quality, and report performance against objectives.
Paid social (web and app)
Plan, launch and optimise paid campaigns across Meta, TikTok, Snapchat, X, LinkedIn and Reddit, for both web leads and app installs.
Own account structure, audiences, bidding and campaign naming across all paid social platforms.
Optimise beyond installs and leads to registration, KYC completion and FTD, using value-based and event-based bidding.
Run a continuous creative testing programme with the Creative and Content teams: briefs (video, playables, static, store assets), variants, learnings and fatigue tracking.
Mobile app acquisition
Plan, launch and optimise app install and in-app event campaigns across Apple Search Ads, Google App Campaigns (UAC) and selected programmatic / mobile ad network partners.
Source, onboard and manage app networks and agencies, with strict fraud controls.
ASO and organic app growth
Own App Store and Google Play optimisation: keyword research, metadata, screenshots, preview videos and localisation for priority languages.
Run store-listing experiments (Google Play Experiments, Apple Product Page Optimisation) and Custom Product Pages aligned to paid campaigns.
Grow ratings and reviews through in-app prompts and review management.
Drive web-to-app and cross-channel installs with SEO, Content, CRM and Partnerships (IB/affiliate) teams, including deep links and QR flows.
Measurement and attribution
Own mobile measurement through our MMP (AppsFlyer): SDK events, deep links, SKAdNetwork / AdAttributionKit, Google Privacy Sandbox for Android, and UTM / tracking-link standards.
Keep web (Meta Pixel / Conversions API) and app (MMP) attribution aligned and deduplicated, so paid social results are counted once.
Work with Data Engineering on cohort, CAC, LTV, ARPU and ROAS reporting (30- and 90-day) that ties installs and sign-ups to FTD and net deposits.
Keep event tracking, postbacks and attribution windows accurate across all partners.
Funnel and conversion
Partner with Product and Dev on onboarding, KYC and first-deposit flows in the app to lift install-to-FTD conversion.
Work with the CRM & Lifecycle manager (Salesforce Marketing Cloud) on push, in-app and email journeys for new app users.
Compliance
Ensure all ads and app store assets meet the requirements of each regulator (ASIC, CySEC, FSCA and others), platform ad policies for financial products, and Apple / Google app store guidelines, including risk warnings and country restrictions.
Out of scope
Organic social and community (Discord, Reddit communities, Telegram), owned by the Organic Social & Community Growth Manager.
Candidate profile
Must have
4+ years in paid acquisition, covering both paid social (Meta, TikTok and at least one other platform) and mobile app user acquisition.
Proven experience in online retail trading (FX/CFDs), iGaming or crypto: you understand regulated, high-CPA acquisition, deposit-driven funnels and the ad-platform restrictions these verticals face.
Hands-on ownership of a multi-channel paid budget of USD 250k+ a month.
Hands-on experience with Apple Search Ads, Google App Campaigns, MetaAds, LinkedIn, X and ASO, with proven results on both App Store and Google Play as well as driving Web/Desktop Leads and FTDs
Deep working knowledge of an MMP (AppsFlyer preferred), SKAdNetwork, post-ATT measurement and deep linking, plus Meta Pixel / Conversions API.
Strong analytical skills: cohort analysis, LTV modelling, incrementality thinking and ROAS-based budget decisions; comfortable in Excel / Google Sheets and BI dashboards.
Experience optimising to down-funnel events (registration, deposit), not just clicks or installs.
A track record of running structured creative testing at scale.
Fluent English, written and spoken.
Nice to have
Experience with programmatic and mobile ad networks.
Experience with Snapchat, Reddit and other social or new ad channels such as ChatGPT.
Knowledge of financial-promotion rules (ASIC, CySEC, FSCA) and Apple / Google policies for financial apps.
SQL or BigQuery; familiarity with Salesforce Marketing Cloud.
A second language relevant to our key markets (e.g. Spanish, Portuguese, Arabic, Chinese, Thai or Vietnamese).
Personal attributes
Commercial and numbers-driven: you decide on cost per FTD, not clicks or installs.
Comfortable owning a large budget and explaining every euro of it.
A fast tester who learns from failures and scales winners quickly.
Collaborative with Creative, Product, CRM and Data Engineering.
Our offer
A welcoming, young and multicultural team with approachable leadership.
Real autonomy over a large growth budget, and the chance to contribute to a dynamic business in a growth phase.
Support for your ideas and room to put your expertise into the company's best practices.
Continuous personal development, a training and development budget, growth with the company and the opportunity to learn from industry leaders.
Competitive remuneration, regular salary reviews and performance-based incentive schemes.
A vibrant company life: from team activities to global celebrations.
Journey to FP Markets
Interview with HR
Interview with the CMO
Interview with the Head of Trading Platform Development
Join our team and be a part of a professional, rapidly-growing company operating in a multicultural environment!
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
Fivetran + dbt Labs is building data pipelines to power the modern data stack for thousands of companies. We’re looking for a
Senior Staff Systems Engineer, Data and Integrations
to join our Systems Engineering team and set the technical direction for the data that runs Fivetran's business. In this role, you will own the data architecture behind our marketing, sales, billing, and product operations: the canonical data models, the contracts between systems, and the pipelines and transformations that move data reliably between them. You will lead our largest and most consequential data initiatives, such as system migrations, org consolidations, and re-platforming of core integrations, from design through validation and cutover.
This position sits at the crossroads of data engineering, data modeling, and business process. You will partner closely with our Systems, Analytics, and Engineering teams, as well as Marketing, Revenue Operations, Accounting, Product Operations, and other business partner teams, and you will mentor the engineers who build within the standards you set.
This is a full-time position based out of our Oakland, California office.
Technologies You’ll Use
Our core systems are Salesforce, Netsuite, Coupa, Workday, and Zendesk, with BigQuery as our data warehouse. Our current integration stack includes Celigo and Fivetran itself. You should be an expert in SQL and strong in a general purpose programming language such as Python or TypeScript, and comfortable evaluating and adopting new tools when necessary.
A data engineering background is required, with expertise in data modeling, ETL/ELT development, data quality testing, and data validation at scale. Experience with dbt or a similar transformation framework, and with API-based and event-driven integration patterns, is preferred. Help us bring established data engineering practices to internal business systems, and define what those practices should be here.
What You’ll Do
Data Architecture and Standards
Own the canonical data models for Fivetran's marketing, sales, billing, and product operations integrations, and define how business concepts map to data across our core systems.
Define team-wide standards for data modeling, data quality, testing, governance, and documentation, and drive their adoption across Systems Engineering and partner teams.
Contribute to the design of integration architecture, establishing guidance for when to use batch, real-time, and event-driven data movement.
Delivery of Complex Initiatives
Lead the design and execution of our most complex data initiatives, including bulk migrations, system consolidations, and re-implementation of core integrations, from target-state design through validation, cutover, and stabilization.
Build, review, and ship the SQL and Python transformations and pipelines behind these initiatives, setting the bar for code quality on the team.
Design the validation and reconciliation approach for migrations and pipeline changes, and sign off with stakeholders that record counts, values, and business rules reconcile.
Reliability and Observability
Design the monitoring, alerting, and data quality framework that gives end-to-end visibility into data freshness and accuracy across systems, and define the KPIs used to measure integration and data health.
Lead root cause analysis on the most complex cross-system data issues, and drive the systemic fixes that prevent recurrence.
Business Partnership Technical Leadership
Translate ambiguous requirements from cross-functional business partners into data models and technical designs, and drive alignment across teams with competing priorities.
Serve as the technical lead and subject matter expert for business data within the Systems Engineering team.
Mentor other engineers and review their designs and code, raising the team's proficiency in data modeling, testing, and pipeline design.
Write and maintain design documents and data flow documentation for current and target state, so decisions are legible to the team and to partners.
Skills We’re Looking For
10+ years of experience in Data Engineering, Analytics Engineering, or a similar role, with a deep focus on modeling and transforming business data and a track record of technical leadership on complex, multi-team initiatives.
Expert SQL proficiency, including complex transformations, performance tuning, and large-scale data reconciliation.
Strong proficiency in a general purpose programming language such as Python or TypeScript, with experience building production-grade, tested data pipelines.
Hands-on experience with business systems data models such as those for Salesforce, NetSuite, Coupa, Workday, or Zendesk, including a data migration, org merge, or major re-implementation.
Demonstrated experience designing and delivering large-scale ETL/ELT solutions and the data quality, validation, and governance frameworks around them.
Ability to evaluate trade-offs between short-term delivery and long-term data architecture health, and to communicate those decisions clearly.
Ability to lead through influence, driving alignment across technical and non-technical stakeholders without direct authority.
Bonus Skills
Experience with dbt or a similar transformation framework.
Hands-on experience with iPaaS platforms such as Celigo, Workato, or Boomi, and with reverse ETL tools, including experience choosing between them.
Experience with cloud platforms such as AWS or GCP, infrastructure as code, and CI/CD for data pipelines.
Familiarity with AI/ML capabilities to augment data quality, matching, and automation.
By stepping into this role, you will define how Fivetran's + dbt Labs business data is modeled, governed, and moved, and lead the initiatives that make it scale.
#LI-HYBRID #LI-VA1
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
$202,787
—
$253,483.50 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: Colombia, Huila, Colombia; São Paulo, Brazil
About Turing
Turing’s mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality datasets, reinforcement learning environments, and frontier research benchmarks that improve model capabilities in software engineering, enterprise knowledge work, and advanced STEM reasoning. In software engineering, Turing is the largest and longest-running data provider in the category. Turing also works with Fortune 500 enterprises across financial services, life sciences, healthcare, retail, automotive, and CPG to build and deploy end-to-end agentic AI systems inside mission-critical workflows. By operating on both sides, Turing closes the loop between frontier research and enterprise deployment, turning real-world deployment signals into better data, evaluations, and more capable models. Learn more at
www.turing.com
.
Senior ML & Data Engineer — Data Quality & Sensitive Data Compliance
This is a full-time remote role based in Brazil or Colombia.
About the role
Enterprise data flows through our connectors, gets processed, and passes through a sanitization layer before anything downstream touches it. Two things have to be true at every step: the data is what we think it is, and no sensitive information — PII, PHI, company identifiable information (CII), or financial data — gets through. You'll own both. You'll do this primarily by building the machine learning that detects sensitive entities in text and image data and replaces them consistently at scale.
This is a hands-on IC engineering role with a QA mindset. You'll build the detection models, validation infrastructure, adversarial test sets, and audit processes that let us make strong claims about data quality and de-identification performance — and back them up with evidence. You'll work closely with a senior ML lead, with no client-facing responsibilities.
What you'll do
Data Quality
Run deep dives into enterprise data to assess quality: topic coherence across connectors, domain depth within connectors, completeness, and consistency
Design and automate validation suites for data pipelines — schema checks, completeness, drift detection, and reconciliation across raw → processed → sanitized stages
Surface and characterize quality issues in ways that engineering and product can act on
Sensitive data compliance (PII / PHI / CII / financial)
Design, train, and evaluate ML models (NER and other approaches) that detect sensitive entities across text and image-based documents such as scans, invoices, and presentations
Build replacement pipelines that substitute detected entities with coherent alternatives, so the same entity always maps to the same replacement across every file in a corpus and the data stays useful
Run these algorithms over large volumes of data to prepare it for downstream agentic task building
Build adversarial test sets for de-identification across all sensitive data classes: edge cases, obfuscated identifiers, multilingual entities, OCR noise, and formats designed to slip past detectors
Cover company identifiable information specifically — organization names and aliases, domains and email patterns, internal project and system names, org charts, vendor and partner relationships, contract terms, and any combination of details that could re-identify the source enterprise
Cover financial data — account and routing numbers, card numbers, revenue and pricing figures, transaction records, tax IDs, and financial statements
Measure and report de-identification performance by data class — entity-level precision and recall, leak rates, false-negative audits, and replacement consistency
Implement regression gates in CI/CD so no pipeline change ships without passing data quality and sensitive-data checks
Run sampling-based human-in-the-loop audits and maintain the audit trail as compliance evidence
Partner with engineering on root-cause analysis when inconsistencies or leaks are found, and drive fixes to closure
What we're looking for
About 4 to 5 years of hands-on machine learning experience, with ML as your primary background
Strong Python for ML development and data validation (pytest, Great Expectations, Pandera, or similar)
Solid SQL and experience validating data across pipeline stages
Familiarity with sensitive data categories and the relevant standards — HIPAA Safe Harbor for PHI, GDPR/LGPD for PII, PCI DSS for cardholder data, and confidentiality/NDA obligations for company information
Experience building and testing NER or other ML-based detection systems: building labeled eval sets, computing precision/recall, handling non-determinism
Understanding of re-identification risk — how seemingly innocuous details combine to reveal an organization or individual
Comfort with ambiguity and a fast-moving environment
A skeptical, detail-oriented approach — you assume things are broken until you've proven otherwise
Nice to have
Computer vision and OCR experience, especially building, scaling, and evaluating document pipelines for contracts, statements, invoices, presentations, and internal documents
Hands-on experience with financial or healthcare data, including the privacy requirements specific to those industries
Startup experience
Auditing LLM or VLM outputs
Synthetic sensitive-data generation (PII, PHI, company and financial records)
Familiarity with the GCP data stack (BigQuery, GCS, Cloud Run jobs) and CI/CD integration
Experience handling multi-tenant enterprise data with strict customer confidentiality requirements
Compliance reporting or working with auditors
Why this role matters
Our enterprise customers trust us with their data on the condition that it can never be traced back to them. Every downstream model, dashboard, and customer commitment depends on the data being clean and the sanitization layer being airtight. When you find a leak, you've prevented an incident. When you prove there isn't one, you've earned the trust that lets the rest of the company move fast.
Values
We are client first:
We put our clients at the center of everything we do, because their success is the ultimate measure of our value.
We work at Start-Up Speed:
We move fast, stay agile and favor action because momentum is the foundation of perfection
We are AI forward:
We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity.
Advantages of joining Turing
Work at the frontier of AI
, helping the world’s leading AI labs improve their most advanced models by building expert datasets, RL environments, and first-of-a-kind benchmarks.
Contribute to leading-edge AI research
and showcase your work at top conferences such as ICLR, ICML, and NeurIPS.
Bring frontier AI innovation to the enterprise
, applying lessons learned from leading AI labs to solve real-world business challenges.
Collaborate with and learn from exceptional colleagues
with deep AI experience from Google, Meta, Amazon, and other leading technology companies.
Move at the pace of AI innovation
, with the speed, ownership, and impact of a startup.
Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace and celebrate authenticity, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.
For applicants from the European Union, please review
Turing's GDPR notice here
.
Location: Ukraine; Moldova; Latvia; Albania; North Macedonia; Slovakia; Malta; Croatia; Czech Republic; Slovenia; Romania; Spain; Bulgaria; Kazakhstan; Poland; Hungary; Montenegro; Estonia; European Union; Cyprus; Lithuania; Greece; Serbia; Bosnia; Georgia
Workplace: Remote
ABOUT US
Ruby Labs is a leading tech company that creates and operates innovative consumer products. We offer a diverse range of opportunities across the health, education, and entertainment industries. Our innovative teams are driving the future of consumer-led products, and we're always looking for passionate individuals to join us. Learn more about our story at: https://rubylabs.com/about-us/
ABOUT THE ROLE
Ruby Labs is hiring an experienced Senior Data Analyst to join our fast-paced, high-ownership environment. You will drive analytics across subscription products and web funnels, partnering with Product, Marketing (UAM), and Data teams to improve conversion, retention, and LTV- while ensuring trusted tracking, strong data models, and decision-ready reporting.
This role is hands-on and cross-functional: you will own analysis from problem framing to recommendation, and you’ll mentor analysts while collaborating closely with Data Engineering/BI to keep data foundations reliable.
RESPONSIBILITIES
- Partner with Product, Marketing, and Data Teams to define KPIs, success metrics, and decision criteria.
- Create new dashboards, maintain and improve existing reporting (e.g., Product Reports, Marketing Performance Reports), ensuring clarity and trust.
- Deliver full-funnel analysis, identify bottlenecks, and propose improvements or A/B test ideas.
- Lead user behavior analysis (journeys, drop-offs, activation/aha moments) using event data.
- Monitor key metrics and anomalies; escalate issues and communicate updates to stakeholders with defined SLAs
- Own and maintain event taxonomy and tracking structure (events, properties, naming conventions); validate implementation and business logic alignment.
- Design and build robust, reusable SQL data models (clean layers, consistent definitions, performance-minded queries).
- Mentor Junior/Middle Analysts in SQL, validation, funnel/cohort analysis, and experimentation quality; provide regular feedback and guidance.
- Give and receive direct, actionable feedback with peers and the Leadership Team; maintain a high bar for quality in a demanding environment.
REQUIREMENTS
- Degree in an analytical field (e.g., Mathematics, Data Science, Economics) or equivalent practical experience.
- 3+ years of experience as a Data Analyst, with proven ownership of end-to-end analysis and stakeholder delivery.
- Strong analytical and problem-solving skills; ability to identify trends, patterns, and root causes in large datasets.
- Excellent verbal and written communication; ability to translate analysis into clear business actions.
- Ability to think strategically and make data-driven recommendations aligned with company goals.
- Strong experience in Product Analytics: funnels, cohorts, retention, LTV, churn, segmentation.
- Hands-on experience with event analytics tools: Mixpanel, GA4, Amplitude, or similar
- Advanced SQL
- Experience with popular BI tools such as Tableau, Looker, or similar
- Experience in subscription business
- Ability to adapt quickly, learn new tools and methods efficiently, and work effectively in a high-pressure, fast-changing environment
NICE TO HAVES
- Strong spoken and written English
- Experience in Marketing Analytics
- Experience with Python, R
- Experience with GCP, BigQuery
- Experience with Google Ads, Facebook Ads etc
- Experience with orchestration frameworks such as Airflow, dbt
- Experience with git and code review process
LOCATION
Ruby Labs operates within the CET (Central European Time) zone. Applicants from any country are welcome to apply for the position as long as they are located within approximately ± 4 hours of CET. This ensures optimal collaboration and communication during working hours.
BENEFITS
Discover the perks of being part of our vibrant team! We offer:
- Remote Work Environment: Embrace the freedom to work from anywhere, anytime, promoting a healthy work-life balance.
- Unlimited PTO: Enjoy unlimited paid time off to recharge and prioritize your well-being, without counting days.
- Paid National Holidays: Celebrate and relax on national holidays with paid time off to unwind and recharge.
- Company-provided MacBook: Experience seamless productivity with top-notch Apple MacBooks provided to all employees who need them.
- Flexible Independent Contractor Agreement: Unlock the benefits of flexibility, autonomy, and entrepreneurial opportunities. Benefit from tax advantages, networking opportunities, reduced employment obligations, and the freedom to work from anywhere. Read more about it here: https://docs.google.com/document/d/1nkrN76JlZkbKj9WSOhlT1_mni_CZeDkHdwfIjPXVwvk/preview?tab=t.0#heading=h.ndsdl4wapxtt
Be part of our fast-growing team and seize this excellent opportunity for personal and professional growth!
INTERVIEW PROCESS
After submitting your application, we conduct a thorough review which typically takes 3 to 5 days, but may occasionally take longer due to the volume of applications received. If we see a potential fit, we proceed with the following steps:
- Recruiter Screening (40 minutes)
- Technical Interview (90 minutes)
- Final Interview (60 minutes)
LIFE AT RUBY LABS
At Ruby Labs, we move fast, aim high, and expect the same from our team. We’re not here to play small—we’re here to build, grow, and win. That means we look for people who are ambitious, driven, and ready to give their best every single day.
This is a place for individuals who thrive under pressure, embrace challenges, and see opportunity in every obstacle. If you’re hungry to achieve, motivated by impact, and want to grow at the speed of your own ambition, Ruby Labs offers the platform to make it happen.
Here, effort is matched with reward. We recognize those who go all in and deliver results, and we create space for people who want more—more responsibility, more growth, and more success.
#LI-Remote
Location: Ukraine; Moldova; Latvia; Albania; North Macedonia; Slovakia; Malta; Croatia; Czech Republic; Slovenia; Romania; Spain; Bulgaria; Kazakhstan; Poland; Hungary; Montenegro; Estonia; European Union; Cyprus; Lithuania; Greece; Serbia; Bosnia; Georgia
Workplace: Remote
ABOUT US
Ruby Labs is a leading tech company that creates and operates innovative consumer products. We offer a diverse range of opportunities across the health, education, and entertainment industries. Our innovative teams are driving the future of consumer-led products, and we're always looking for passionate individuals to join us. Learn more about our story at: https://rubylabs.com/about-us/
ABOUT THE ROLE
Ruby Labs is hiring an experienced Lead Data Analyst to join our fast-paced, high-ownership environment. You will drive analytics across subscription products and web funnels, partnering with Product, Marketing (UAM), and Data teams to improve conversion, retention, and LTV- while ensuring trusted tracking, strong data models, and decision-ready reporting.
This role is hands-on and cross-functional: you will own analysis from problem framing to recommendation, and you’ll mentor analysts while collaborating closely with Data Engineering/BI to keep data foundations reliable.
RESPONSIBILITIES
- Partner with Product, Marketing, and Data Teams to define KPIs, success metrics, and decision criteria.
- Create new dashboards, maintain and improve existing reporting (e.g., Product Reports, Marketing Performance Reports), ensuring clarity and trust.
- Deliver full-funnel analysis, identify bottlenecks, and propose improvements or A/B test ideas.
- Lead user behavior analysis (journeys, drop-offs, activation/aha moments) using event data.
- Monitor key metrics and anomalies; escalate issues and communicate updates to stakeholders with defined SLAs
- Own and maintain event taxonomy and tracking structure (events, properties, naming conventions); validate implementation and business logic alignment.
- Design and build robust, reusable SQL data models (clean layers, consistent definitions, performance-minded queries).
- Mentor Junior/Middle Data Analysts in SQL, validation, funnel/cohort analysis, and experimentation quality; provide regular feedback and guidance.
- Give and receive direct, actionable feedback with peers and the Leadership Team; maintain a high bar for quality in a demanding environment.
REQUIREMENTS
- Degree in an analytical field (e.g., Mathematics, Data Science, Economics) or equivalent practical experience.
- 3+ years of experience as a Data Analyst, with proven ownership of end-to-end analysis and stakeholder delivery.
- Experience in subscription business and/or acquisition-driven web funnels.
- Strong experience in Product Analytics: funnels, cohorts, retention, LTV, churn, segmentation.
- Proven hands-on experience designing, running, and validating end-to-end A/B tests
- Hands-on experience with event analytics tools: Mixpanel, GA4, Amplitude, or similar
- Advanced SQL
- Experience with BI tools such as Tableau, Looker, or similar.
- Strong analytical and problem-solving skills; ability to identify trends, patterns, and root causes in large datasets.
- Excellent verbal and written communication; ability to translate analysis into clear business actions.
- Ability to adapt quickly, learn new tools efficiently, and deliver high-quality work in a high-pressure, fast-changing environment.
- Strong spoken and written English.
NICE TO HAVES
- Experience in Marketing Analytics
- Experience with Python and/or R
- Experience with GCP and BigQuery.
- Experience with Google Ads, Meta/Facebook Ads, or other ad platforms.
- Experience with orchestration frameworks such as Airflow and/or dbt.
- Experience with Git and code review processes.
- Experience with billing/payments analytics
LOCATION
Ruby Labs operates within the CET (Central European Time) zone. Applicants from any country are welcome to apply for the position as long as they are located within approximately ± 4 hours of CET. This ensures optimal collaboration and communication during working hours.
BENEFITS
Discover the perks of being part of our vibrant team! We offer:
- Remote Work Environment: Embrace the freedom to work from anywhere, anytime, promoting a healthy work-life balance.
- Unlimited PTO: Enjoy unlimited paid time off to recharge and prioritize your well-being, without counting days.
- Paid National Holidays: Celebrate and relax on national holidays with paid time off to unwind and recharge.
- Company-provided MacBook: Experience seamless productivity with top-notch Apple MacBooks provided to all employees who need them.
- Flexible Independent Contractor Agreement: Unlock the benefits of flexibility, autonomy, and entrepreneurial opportunities. Benefit from tax advantages, networking opportunities, reduced employment obligations, and the freedom to work from anywhere. Read more about it here: https://docs.google.com/document/d/1nkrN76JlZkbKj9WSOhlT1_mni_CZeDkHdwfIjPXVwvk/preview?tab=t.0#heading=h.ndsdl4wapxtt
Be part of our fast-growing team and seize this excellent opportunity for personal and professional growth!
INTERVIEW PROCESS
After submitting your application, we conduct a thorough review which typically takes 3 to 5 days, but may occasionally take longer due to the volume of applications received. If we see a potential fit, we proceed with the following steps:
- Recruiter Screening (40 minutes)
- Technical Interview (90 minutes)
- Final Interview (60 minutes)
LIFE AT RUBY LABS
At Ruby Labs, we move fast, aim high, and expect the same from our team. We’re not here to play small—we’re here to build, grow, and win. That means we look for people who are ambitious, driven, and ready to give their best every single day.
This is a place for individuals who thrive under pressure, embrace challenges, and see opportunity in every obstacle. If you’re hungry to achieve, motivated by impact, and want to grow at the speed of your own ambition, Ruby Labs offers the platform to make it happen.
Here, effort is matched with reward. We recognize those who go all in and deliver results, and we create space for people who want more—more responsibility, more growth, and more success.
#LI-Remote
Location: Remote - USA
Clover is reinventing health insurance by working to keep people healthier.
We value diversity — in backgrounds and in experiences. Healthcare is a universal concern, and we need people from all backgrounds and swaths of life to help build the future of healthcare. Clover's engineering team is empathetic, caring, and supportive. We are deliberate and self-reflective about the engineering team and culture that we are building, seeking engineers that are not only strong in their own aptitudes but care deeply about supporting each other's growth.
We are looking for senior software engineers that want to solve many different kinds of problems. You will work with other engineers, data scientists, and healthcare professionals and build tools to improve the health of real people.
As a Senior Software Engineer, you will:
Be responsible for simplifying the complexities of healthcare by building systems that multiply human efforts.
Build and maintain production software that implements healthcare interoperability standards such as FHIR and HL7:
Develop and test the APIs, services, and data pipelines that work with FHIR resources and HL7 messages.
Translate standards and implementation guides into code, data models, validation logic, and automated tests.
Preserve clinical meaning and data quality as information moves between systems.
Master new tools and technologies to solve problems and move our goals forward.
Help the team define and maintain development practices that let us iterate quickly while maintaining quality — including writing tests and documenting key implementations.
Work with Product Managers and operational staff to develop new features.
You should get in touch if:
You have hands-on experience building production software with FHIR and HL7.
You have been a Software Engineer for 5+ years and have experience in Python, Javascript, or Go.
You have experience writing SQL queries in Postgres, MySQL, BigQuery, Snowflake, or other database systems.
You are comfortable working as a data engineer cleaning, normalizing, and improving data quality.
You can create and call Restful APIs, experience with gRPC is a plus.
You have experience working with cloud services such as GCP or AWS
You will love this job if:
You are excited by big, complicated problems and try to solve them with pragmatic, well-engineered solutions. You have a natural
curiosity
that drives you to find out how things work and if they can work better.
You enjoy working in a
fluid, collaborative
environment, defining and owning priorities that add to our larger goals. You can bring clarity to ambiguity while remaining open-minded to new information that might change your mind.
You are
not hesitant
to jump in to help fix things that are broken and you feel great responsibility to make sustainable systems. You are happy to fill in the gaps to reach a goal where necessary, even if it does not always fit your job description.
You have a
genuine
interest in what good technology can do to help people and have a positive attitude about tackling hard problems in an important industry.
Benefits Overview
:
Financial Well-Being
: Our commitment to attracting and retaining top talent begins with a competitive base salary and equity opportunities. Additionally, we offer a performance-based bonus program and regular compensation reviews to recognize and reward exceptional contributions.
Physical Well-Being
: We prioritize the health and well-being of our employees and their families by offering comprehensive group medical coverage that include coverage for hospitalization, outpatient care, optical services, and dental benefits.
Mental Well-Being
: We understand the importance of mental health in fostering productivity and maintaining work-life balance. To support this, we offer initiatives such as No-Meeting Fridays, company holidays, access to mental health resources, and a generous annual leave policy. Additionally, we embrace a remote-first culture that supports collaboration and flexibility, allowing our team members to thrive from any location.
Professional Development
: We are committed to developing our talent professionally. We offer learning programs, mentorship, professional development funding, and regular performance feedback and reviews.
Additional Perks:
Reimbursement for office setup expenses
Flexibility to work from home, enabling collaboration with global teams
Paid parental leave for all new parents
And much more!
About Counterpart Health:
In 2018, Clover Health set out to do something unprecedented: build a clinically intuitive, AI-enabled solution that fits within physicians' workflows to help support the earlier diagnosis and management of chronic conditions.
Years later, that vision is a reality, with thousands of practitioners using Counterpart Assistant during patient visits to improve disease management, reduce medical expenses, and drive success in value-based care.
With an exceptional team of value-based care and technology experts, Counterpart Health is driving value-based care at the speed of software.
Counterpart Health is a subsidiary of Clover Health. From Clover’s inception, Diversity & Inclusion have always been key to our success. We are an Equal Opportunity Employer and our employees are people with different strengths, experiences, perspectives, opinions, and backgrounds, who share a passion for improving people's lives. Diversity not only includes race and gender identity, but also age, disability status, veteran status, sexual orientation, religion and many other parts of one’s identity. All of our employee’s points of view are key to our success, and inclusion is everyone's responsibility.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. We are an
E-Verify
company.
Final pay is based on several factors including but not limited to internal equity, market data, and the applicant’s education, work experience, certifications, etc.
A reasonable estimate of the base salary range for this role is:
$169,200
—
$220,000 USD
Location: Almaty, Kazakhstan; Warszawa, Poland; Tbilisi, Georgia; Belgrade, Serbia; Yerevan, Armenia; Vilnius, Lithuania; Madrid, Spain; Lisboa, Portugal; Sofia, Bulgaria; Larnaca, Cyprus; Bucharest, Romania
Workplace: fully
We are looking for a Senior Analytics Engineer:
🗣 Language Proficiency: Intermediate
🧾 Employment type: Full time
🌍 Candidate Location: EU, Serbia, Georgia, Armenia, Kazakhstan
🕐 Working Time Zone: CET
🚀 Start: ASAP
🧭 Planned Work Duration: 6 months
👥 Customer Description:
The customer is a global mobility and urban services platform offering transportation, delivery, and on-demand services.
🧩 Project Description:
Data delivery and attribution pipeline migration to a core data warehouse platform.
⚙️ Project Phase:
Ongoing
💡 Hard Skills / Must Have:
• 3+ years of Analytics Engineering, DWH Engineering, or Data Analysis experience
• Expert SQL and good Python knowledge for ETL and data processing
• DWH architecture, ODS, data marts, incremental loads, history handling, and deduplication
• BigQuery or similar columnar databases; data mart design and optimisation
• dbt for large incremental projects and Airflow or similar orchestration tools
• Pipeline migration, data parity validation, Git, Data Quality, and Data Governance
• Ability to translate stakeholder needs into data requirements
✨ Hard Skills / Nice to Have:
• Mobile or marketing attribution data, ad network cost data, SKAN/ATT, and ad fraud data
• Google Cloud Platform, Cloud Storage, and Dataform
• Lightdash, Looker, or Tableau
📌 Responsibilities and Tasks:
• Clarify requirements and implement changes to attribution logic, sources, and data marts
• Lead migration of dbt models, Airflow DAGs, and sources to the core DWH platform
• Build and optimise incremental BigQuery data marts, including recalculations and backfills
• Implement data quality checks and investigate discrepancies
• Analyse external inputs and ensure reliable data delivery
• Participate in testing, validation, releases, and technical documentation
Technology Stack:
SQL, Python, BigQuery, dbt, Airflow, Git, Data Warehousing, Data Modeling, ETL/ELT, Data Quality, Data Governance
Interview stages
:
English check (15 minutes)
internal technical interview (1-1,5 hour)
client interview (1 hour)
client interview – cultural fit (45 minutes)
What we offer
Model: B2B contract with Bonapolia - one contract, one monthly invoice
Rate: negotiated per candidate seniority and client budget
Payment: monthly invoice, paid on the same schedule the client pays us (usually 30 days)
Contract written under your country's law
We handle the client-side paperwork: MSA, NDA, invoicing
🏢
About Bonapolia
Bonapolia is a family-owned IT staff augmentation team based in Lisbon. We build engineering teams for product companies and IT consultancies across Europe and the US.
More at
bonapolia.com
📩 Ready to Join?
We look forward to receiving your application and welcoming you to our team!
Location: Limassol, Cyprus
Workplace: on-site
Mayflower
is a technology company building large-scale entertainment products for a global audience. Our platforms serve millions of users worldwide and rank among the top-50 most visited websites globally. For more than 10 years, we've been creating reliable, high-performance solutions at the intersection of product, engineering, and entertainment.
We are looking for a
Senior SEO Specialist
to own product-related SEO tasks from idea through release. You will turn search opportunities into initiatives and tasks for product and engineering, and confirm that what is delivered works as intended.
Job Responsibilities
Identify technical and on-page SEO issues (crawling, indexing, site structure, redirects, canonicals, internal linking, templates, structured data) and initiate product-related tasks when they block organic performance;
Prepare implementation-ready tasks and recommendations: problem, solution, affected templates or URLs, risks, and acceptance criteria;
Validate proposed work with the Team Lead and SEO team before it reaches product or engineering;
Consult product and development on SEO implications of planned features, template changes, and site architecture;
Participate in estimations and groomings so work is sized, sequenced, and specified well enough to build;
Analyze search intent, SERP structure, and competitor behavior when it affects product or template decisions;
Optimize existing page types and templates for rankings, traffic, engagement, and conversions, including titles, meta descriptions, headings, internal links, page structure, and content;
Support content planning with SEO briefs, keyword maps, and optimization guidelines when work touches product surfaces;
Plan information architecture and landing-page structure for new product or content surfaces;
Specify and, where appropriate, implement structured data;
Test implementations after release against agreed acceptance criteria;
Monitor performance in Google Search Console, Google Analytics, and in-house reporting tools. Track rankings, traffic, indexing, and trends tied to shipped work, not only site-wide averages;
Prepare concise updates: what moved, what did not, and recommended next product or content steps;
Stay current with SEO practices and search-engine updates that affect product implementation.
You’ll thrive here if you have
4+ years of hands-on SEO across on-page, content, and technical work;
Experience working with high-traffic international and multilingual websites;
Proven experience turning SEO findings into tickets or requirements that engineering or product teams can implement;
Comfort participating in agile delivery: grooming, estimation, clarification, and post-release checks;
Strong understanding of keyword research, search intent, SERP analysis, and competitor research;
Working knowledge of technical SEO: crawling, indexing, redirects, canonicals, internal linking, site architecture, and template-level changes;
Experience with Google Search Console, Google Analytics, crawlers, and other SEO tools;
Ability to analyze SEO data and turn it into a clear recommendation, with an expected effect and a way to verify the release;
Clear written communication: tickets, briefs, and short performance notes that non-SEO teams can act on;
Ability to work independently, manage several workstreams, and raise issues early rather than waiting for a fully specified brief.
Nice to have:
Experience with programmatic SEO or large-scale template optimization;
Familiarity with Looker Studio, BigQuery, SQL, or another reporting stack;
Basic scripting (Python or similar) for crawls, log samples, or bulk URL analysis;
Familiarity with common CMS or front-end delivery setups;
Awareness of generative search / AI results as a measurement context;
Experience in SaaS, marketplace, media, or other product-led digital businesses.
Conditions
We know that great talent deserves great conditions, so here's what you can expect when joining us:
EU-based employment contract and a 3-year Cyprus work visa with full support for your relocation and visa processes, including assistance for your family.
EU passport. Opportunity to obtain an EU passport after 4 years of residence
Full relocation package: flights to Limassol for you and your family, a company-covered apartment for the first month, and full relocation support to make your move smooth and hassle-free.
Transparent performance reviews twice a year, with bonus opportunities and salary adjustments.
Private medical insurance for you and your family
Corporate mobile plan (unlimited in Cyprus with roaming included)
Mindfulness & well-being support, including psychological assistance with 50% coverage.
50% coverage of school and kindergarten fees for your children.
Fully covered sports benefits, and also access to in-house electric scooters and bike rentals.
Provident fund (Cyprus): a long-term savings plan co-funded by you and the Company together (available after probation) that grows throughout your time with us in Cyprus.
Professional growth support: language courses, conferences, training programs, and coaching.
Peer recognition program: receive and share kudos for great work.
A fully equipped office in Limassol’s city center, with everything you need for deep work and collaboration.
Free breakfasts and lunches at the office, and an in-house coffee bar with high-quality drinks and a health bar stocked with nutritious snacks.
A strong engineering culture: international teams, corporate events, team buildings, and hackathons — because great work happens in great communities.
Benefits are provided in accordance with the company’s policies and eligibility criteria.
Recruitment process
HR interview (45 min);
Technical interview (1 hour);
Test task;
Final interview (1 hour).
Recommendations check;
Job Offer.
About the Role:
You'll help build the very AI-powered platform you use every day, with real autonomy over the features you ship. Wrike generates an enormous amount of rich, interconnected data, including work item content, relationships between entities, complex business processes, user interactions, and direct user input. The mission of the DS/ML department is to transform this data into intelligent, AI-powered capabilities that help users gain deeper insights, automate routine work, enhance productivity, and create a more seamless work experience. As a Data Scientist in the Work Intelligence Unit, you will play a key role in product development through the application of state-of-the-art AI and machine learning technologies with a particular focus on leveraging Large Language Models and other emerging technologies. You will work on both user-facing AI features and foundational intelligence platform that power intelligent experiences across the product.
Your Impact:
— Creating new and improving existing AI solutions
— Involvement in the whole process of data-driven development from analyzing product requirements to launching the feature or system to production (with the help of MLOps specialists) and improving it based on results of monitoring and feedback
— Communicating with fellow data scientists, product owners, and developers
— Applying best software engineering practices to build a reliable codebase
— Performing code reviews
— Working in agile environment and presenting the results of your work on regular sprint reviews
Your Qualifications:
— 4+ years of experience in AI, Data Science, and Machine learning
— Experience in LLMs, LLM-based APIs, prompting techniques, metric-driven development of prompt-based features, agentic systems, and other related topics
— Experience in building complex multipart and multistep LLM-based and ML systems
— Proficiency in Python (including pure Python, and not only jupyter notebooks)
— Experience in using reproducible research techniques
— Experience in developing AI solutions for production usage
— Full professional proficiency in English
Standout Qualities:
— Experience in AI and ML solutions related to one of the areas: social networks, recommendation systems, ranking, entity matching, process mining, system personalization, risk estimation
— Confident statistical and machine learning skills
— Experience in creating core AI systems that are foundational to the product and are used in many parts of it
— Experience in classical software development and architecture
Interpersonal skills:
— Excellent interpersonal, written, and verbal communication skills required with the ability to work within all levels of an organization.
— You are proactively pushing yourself to develop your skills and knowledge
— Decision making and argumentation skills
— Open to feedback and ready to react on it
— Ability to work autonomously on a project level
Our Work Style:
— Code: Python, Jupyter, mypy, uv, black, flake8
— Data: pandas, SQL, BigQuery
— GenAI & LLMs: Langchain, Azure OpenAI, Gemini, Vertex AI, Braintrust
— LLM Platform: Versioned Prompt Registry(jinja2), Declarative LLM Feature Configs (multi-step workflows, model routing)
— ML: scikit-learn, lightgbm, pytorch
— Cloud: GCP, Dagster, MLFlow
— Coding Agents: Claude Code, Codex, Cursor
Team Dynamics:
— As part of Wrike’s AI center of excellence — you will help scale AI feature development across teams by collaborating closely with product, engineering, design, research, and other departments across the organization.
— You will explore new AI-driven opportunities, validate hypotheses through experimentation, and drive innovations from research prototypes to production-ready capabilities that deliver tangible value to millions of users.
Benefits & Perks:
— 5 Weeks of paid vacation
— Sick Leave Compensation
— 5 Paid Uncertified Sick Days
— 2 weeks fully paid w/ medical certificate, additional
— 4 weeks paid at 80% salary rate
— Parental Leave (fully paid): 18 Weeks Maternity / 4 Week Paternity
— 2 Volunteer Days
— Meal Vouchers (CZK 220 per working day)
— Annual Prague Travel Card (Lítačka)
— Hybrid Working Model
— Benefit budget with flexible options, including a MultiSport card, Canadian Medical membership, contributions to a pension savings plan and additional choices available through Benefit Plus
What’s Next?
— Introduction Call with a Recruiter
— Technical interview
— Cultural interview
Location: Belfast, Northern Ireland;
At Signifyd, we help merchants confidently grow their businesses by building trusted relationships with their customers. Our advanced technology, combined with a team genuinely invested in our clients’ success, creates frictionless shopping experiences, approving more good orders, protecting revenue, and keeping customers happy.
Trusted by thousands of leading merchants across more than 100 countries, we securely process billions of transactions each year. Our people are the heart of everything we do, driving our mission forward with commitment, empathy, and creativity. Join us on our mission to empower confident, fraud-free commerce by helping online retailers provide superior customer experiences and eliminate fraud. Learn about our company values
here
!
Signifyd is one of the world’s leading tech start-ups! They develop best-in-class AI fraud prevention software; which helps make the world a better place. As an intern, you'll be given a masterclass into the software development lifecycle. You'll get to work with amazing colleagues on complex challenges. Within your first week as an intern, you'll be deploying code changes that affect millions of online orders. It's an exceptional place to work, with an awesome culture & work-life balance.
As an Engineering Intern, you’ll make things happen!
Our Intern Software Engineers will have the opportunity to gain industry-leading insight, guidance and support to learn our technology stack and grow very quickly into fully productive members of our team; no bench sitting!
If you want help, you'll get it - from all quarters - but we’ll encourage you to figure out what needs to be done, identify who is in the best position to make it happen; and if that’s you, roll up your sleeves and get stuck in!
Our Signifyd stack
:
Java, Cassandra, ElasticSearch, BigQuery, MySQL, Play! framework, gRPC, Linux, Docker, Kubernetes, GCP, AI (Claude, Cursor)
What support can you expect:
We’ll provide you with a solid investment in your individual growth and development including an individual development plan, mentoring from industry professionals, and a spot on a small peer-led team to provide great opportunities to learn.
What you’ll get to do:
From the outset you’ll contribute to our features and products and participate fully in your team’s responsibilities
Participate in daily stand-ups from the get-go
Be part of a team who are responsible for the full lifecycle of their products: design, development, unit testing, integration testing, deployment, monitoring and iterative improvement
Be part of a team who are responsible for the full technology stack related to their product or feature; from the user level APIs right down to the databases, streams, and queues, that back the functionality
To know if we’re a great fit for you, you’ll:
Be working towards a Bachelor's Degree in Computer Science or Software Engineering
Have an interest or desire to work with Java, Python, SQL or any of our development stack, or you’ll have worked with some of our stack before on your own time or for your own projects
Be willing to ask for help if you need it
Be comfortable making a mistake, but be willing to learn from it
Be open to learning from others and always curious to know more
What will you get in return:
A competitive base salary
Free snacks and drinks in the office
Have a great setup and working environment to help you do your job
Take part in (or drive) our social/community events
Application and Interview details:
Please list University modules and results on your CV
Start Date: July 2027
Dates may be subject to change
#LI-Remote
We are committed to equality of opportunity for all staff and applications from individuals are encouraged regardless of age, disability, sex, gender reassignment, sexual orientation, pregnancy and maternity, race, religion or belief and marriage and civil partnerships.
We also want to provide an inclusive interview experience for all, including people with disabilities. We are happy to provide reasonable accommodations to candidates in need of individualized support during the
hiring
process.
Signifyd's Applicant Privacy Notice
Location: United Kingdom
Workplace: Remote
ABOUT ELEVENLABS
ElevenLabs is an AI research and product company transforming how we interact with technology.
We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always.
We have expanded from voice into three main platforms:
- ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale.
- ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages.
- ElevenAPI gives developers access to our leading AI audio foundational models.
Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you.
HOW WE WORK
- High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy.
- Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you.
- AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations.
- Excellence everywhere: Everything we do should match the quality of our AI models.
- Global team: We prioritize your talent, not your location.
WHAT WE OFFER
- Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible.
- Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities.
- Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend.
- Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose.
- Annual team offsite: Each year, we bring your entire team together in a new location - past offsites have included Croatia, Italy and Cancún
- Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend.
ABOUT THE ROLE
We're looking for a Finance Data Scientist to join our central Data team as the first dedicated analytics partner to Finance. You'll turn billing, revenue and forecasting data into audit-ready numbers, and the analysis that shapes pricing and planning decisions as we scale towards IPO.
- Own finance-facing analysis: revenue and ARR reconciliation, cohort and retention economics, pricing and packaging experiments.
- Partner with Analytics Engineering on the certified finance KPI layer (ARR, billing, revenue), and be the first to catch when a number is quietly wrong.
- Build forecasting and scenario models that FP&A uses directly in planning and board reporting.
- Translate ambiguous finance questions from FP&A, RevOps and leadership into clear, reusable analysis.
REQUIREMENTS
Demonstrated experience as a data scientist or analyst embedded with a Finance / FP&A function, ideally at a growth-stage or pre-IPO company.
- Strong SQL and Python, with comfort reconciling data across Stripe, Salesforce and a dbt-modelled warehouse.
- Finance fluency: ARR, billing, revenue recognition, cohort economics — you can speak FP&A's language.
- Rigour around data quality: you reconcile by default and can explain a variance, not just report it.
- Strong stakeholder management with Finance leadership, and the ability to push back on ambiguous asks.
BONUS
- Experience preparing finance data for audit, SOX or IPO readiness.
- Experience with pricing / packaging experimentation or revenue forecasting at a subscription or usage-based business.
- Experience with dbt or a modern warehouse (BigQuery), partnering directly with analytics engineers.
GROWTH POTENTIAL
We believe in hiring the best talent in the world to make an impact in the right role at the right time. At ElevenLabs, strong performance creates opportunities for growth. Here are some of the career paths you can expect after excelling in this role:
- Grow into a Lead Finance Data Scientist role as the central Data team scales.
- Expand scope into broader strategic finance or RevOps analytics.
- Path into a Head of FP&A Analytics or data leadership track.
LOCATION
This role is remote-first, so it can be executed from anywhere in Europe or the US East Coast, with the ability to operate in CET / ET timezones required. If you prefer, you can work from our offices in London, Warsaw, Dublin or New York.
#LI-Remote
We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.
Location: San Francisco, CA | Seattle, WA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
As a Manager, Compute Accounting at Anthropic, you will execute day-to-day accounting for our compute and cloud infrastructure spend, ensuring accurate financial reporting and robust controls as we scale. You'll be responsible for preparing compute cost accounting, including accruals, prepaids, accounts payable reconciliation, expense classification, and commitment tracking. This role requires hands-on month-end close experience, strong organizational skills, and the ability to build scalable processes and controls in a high-growth environment, with a strong appetite for process improvement and automation.
You'll work directly with Engineering, Procurement, and Finance & Strategy to resolve issues and ensure that costs are captured accurately and in compliance with our agreements. As Anthropic's compute footprint expands rapidly across multiple cloud service providers, you'll help operate the financial controls and processes that enable us to manage compute spend measured in the tens of billions of dollars with precision and confidence. You'll also support internal and external audit requests.
Key responsibilities
Own the accounting lifecycle for compute and cloud infrastructure expenses, ensuring accurate and timely recording of all costs through monthly close, reconciliations, accruals, prepaids, journal entries, and flux analysis
Review and interpret cloud service provider and infrastructure contracts to ensure proper accounting treatment, commitment tracking, and compliance with contractual terms
Track and reconcile commitment-based agreements, ensuring proper recognition and disclosure of multi-year purchase obligations
Perform accounts payable and vendor statement reconciliations, working with cloud service providers to resolve discrepancies and ensure billing accuracy
Build scalable processes and controls that can grow with the organization, and develop reporting and monitoring systems to provide visibility into compute spending patterns and trends
Support internal and external audit requests on compute cost accounting and commitment disclosure matters
Work with Engineering and cloud service providers to investigate issues and see them through to resolution
Build monthly and quarterly financial reporting packages for leadership reviews
Drive process improvement and automation initiatives—redesigning close workflows, building automated data pipelines and reporting, and leveraging AI tooling—and contribute to cross-functional projects from scoping through delivery
Minimum qualifications
7+ years of progressive operational accounting experience
CPA (or equivalent) with a strong understanding of GAAP
Strong, hands-on month-end close experience, with a proven ability to prepare accruals, reconciliations, and journal entries accurately and on time
Significant experience accounting for cloud service or compute infrastructure expenses, including review of associated contracts
Experience with cloud service provider cost structures and the unique challenges of accounting for consumption-based services
Strong written and verbal communication skills, with the ability to explain issues to vendors, engineers, and other non-finance stakeholders in clear, simple terms
Strong analytical abilities and comfort working with a high volume of transactions
Proven experience building accounting processes, controls, and policy in high-growth environments
Strong organizational skills and attention to detail, with a track record of seeing issues through to resolution
Proficiency with modern ERP systems (Workday preferred)
Preferred qualifications
Have experience mentoring junior accounting professionals
A track record of leading process transformation, automation, or finance systems projects from scoping through delivery
Strong analytical and problem-solving skills, with the ability to dive deep into large datasets to identify issues and opportunities
Comfort with cross-functional partnership in fast-paced environments where priorities can shift quickly
SQL and BigQuery proficiency, enabling direct data analysis and validation against source systems
Python skills for building automation and analytical tools
Experience at cloud service providers, data center operators, or technology companies with consumption-based or usage-based business models
Background combining Big 4 accounting experience with industry roles at technology companies
Exposure to infrastructure lease or asset structures, including colocation, GPU clusters, networking equipment, or data center buildouts
Track record of implementing automated reconciliation and reporting solutions
Familiarity with commitment-based purchasing agreements and their accounting implications
Proficiency with AI-assisted tools (including Claude) for enhancing financial analysis, memo drafting, and close automation
Experience supporting rapid growth and scaling initiatives
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$160,000
—
$190,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
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