Location: Cardiff, London or Remote (UK); London; Remote (UK)
🚀 We’re on a mission to make money work for everyone.
We’re waving goodbye to the complicated and confusing ways of traditional banking.
After starting as a prepaid card, our product offering has grown a lot in the last 10 years in the UK. As well as
personal
and
business
bank accounts, we offer
joint accounts
,
accounts for 16-17 year olds
, a
free kids account
and
credit cards
in the UK, with more exciting things to come beyond. Our UK customers can also
save
,
invest
and
combine their pensions
with us.
With our hot coral cards and get-paid-early feature, combined with financial education on social media and our award winning customer service, we have a long history of creating magical moments for our customers!
We’re not about selling products - we want to solve problems and change lives through Monzo ❤️
Analytics Engineering Manager - Fincrime
London/Cardiff/UK Remote | 💰£97,800-£125,000 + Incentive Awards tied to your performance and
benefits
|
Hear from the team
✨
⭐Our Fincrime Analytics Engineering Team
Our Financial Crime Collective helps keep Monzo and our customers safe. We build effective, proportionate controls to protect against financial crime while delivering great customer outcomes.
Our Analytics Engineering discipline works in the intersection between data, engineering and our collectives - Core, Money, Borrowing, Operations and Financial Crime and beyond.
The AE teams are responsible for building downstream data models from backend services with the desire to make our Data Warehouse a genuine competitive advantage for Monzo. We want a discipline capable of building a reliable and scalable Data Warehouse to support decision making in a cost effective and performant manner.
Managers within Data have two primary responsibilities; people and technical products. Your focus will be on helping engineers with their personal and professional development, listening and guiding them through hard times and celebrating their successes. You will also be leading and participating directly in technical initiatives and helping Monzo shape its Data organisation, ensuring the team focuses on valuable work, shipping things with a level of care and attention to detail.
There will be a strong focus on delivering best practice across our data discipline and helping bring a new level of maturity around Data Governance principles, working in collaboration with others to deliver this.
🔑You’ll play a key role by...
Working in a multi-disciplinary team, you will:
Be a hands-on leader in building a discipline of exceptional analytics engineers working to make Data at Monzo the gold standard within the industry
Nurture between 5 to 6 analytics engineers, supporting, coaching and developing high performing engineers through regular 1:1s, continuous feedback and relationships with others
Aid prioritisation of initiatives and projects, working closely with other leads for each of our Monzo collectives
Be hands on through participating in the review cycle, architecture and design leadership and development of your own changes to the pipelines
Be part of the hiring team within Analytics Engineering
Work closely with other leads to deliver a scalable, consistent approach to governance and best practices
Drive effective project management of central Analytics Engineering projects, ensuring they’re well scoped and delivered to deadlines
Establish yourself as a trusted partner to various collectives and the leadership team, with the capacity for getting things done, be it either hands-on or by leading others
We all own and support the pipelines we contribute to, and on call support out of hours will be expected from time to time as part of this role
🤩We’d love to hear from you if…
You have experience managing or mentoring the performance and development of high-performing engineers.
You have strong experience in data warehousing architecture at scale
You have experience and a passion for leading data warehousing, data visualisation, big data or ETL projects as an analyst, developer, designer or architect
You know what it takes to hire great engineers within the data space
You’re equally comfortable working hands on and leading a team
Nice To Haves:
Any experience working within a finance or banking environment
Experience working in a highly regulated environment (e.g. finance, insurance, gaming, food, health care)
Experience with any of our stack of dbt, BigQuery and Looker
Not ticking every box? That’s totally okay! Studies show that women and people of colour might hesitate to apply unless they meet every single requirement. At Monzo, we’re dedicated to creating a diverse and welcoming team. If you’re passionate about this role and keen to learn and grow with us, we encourage you to apply— even if you don’t have everything that’s listed just yet. Drop us your application, we’d love to hear from you!
🙌What’s in it for you
💰£97,800-£125,000 + Incentive Awards tied to your performance and
benefits
✈️ We’ll help you relocate to the UK.
✅ We can sponsor your visa.
📍This role can be based in our London office, but we're open to distributed working within the UK (with ad hoc meetings in London)
⏰We offer flexible working hours and trust you to work enough hours to do your job well, and at times that suit you and your team.
📚£1,000 learning budget each year to use on books, training courses and conferences.
🏡We will set you up to work from home; all employees are given Macbooks and for fully remote workers we will provide extra support for your work-from-home setup.
➕ Plus lots more!
Read our full list of benefits
.
🌈
The application journey has 4 key steps
Recruiter Screening Call
Initial Call
Take Home Task
Final Loop (3 sessions - case study, collaboration and people leadership)
This process should take around 2-3 weeks - your schedule is really important to us, so we promise to be as flexible as possible!
We have some guidelines on using Artificial Intelligence (AI) to ace an application and interview at Monzo.
You can read them here.
For more insight into the AE team at Monzo, check out our
podcast
with John Azzopardi one of our Senior Leaders in AE
#LI-AS1 #LI-REMOTE
Equal opportunities for everyone
Diversity and inclusion are a priority for us and we’re making sure we have lots of support for all of our people to grow at Monzo. At Monzo, we’re embracing diversity by fostering an inclusive environment for all people to do the best work of their lives with us. This is integral to our mission of making money work for everyone. You can read more in our
blog
, 2026
Diversity and Inclusion Report
and 2025
Gender Pay Gap Report.
We’re an equal opportunity employer. All applicants will be considered for employment without attention to age, ethnicity, religion, sex, sexual orientation, gender identity, family or parental status, national origin, or veteran, neurodiversity or disability status.
If you have a preferred name, please use it to apply. We don't need full or birth names at application stage 😊
Cardiff, London or Remote (UK); London; Remote (UK)
Beamable is seeking a Head of Product to shape its platform vision and lead its next phase of growth in the game backend market. This is an opportunity to build the product function from the ground up, guide the platform from early access through public release, and advance AI integration to deliver meaningful value for game studios.
Location: Prague
Wrike is the most powerful work management platform. Built for teams and organizations looking to collaborate, create, and exceed every day, Wrike brings everyone and all work into a single place to remove complexity, increase productivity, and free people up to focus on their most purposeful work.
Wrike is our people, not a place. As a distributed team, we own our growth, stay globally connected, and rely on the product we build to deliver impactful work alongside brilliant minds. You'll have real ownership over meaningful work, a global team that has your back, and the flexibility to do your best work your way. If that sounds like you, we'd love to hear from you.
Our vision:
A world where everyone is free to focus on their most purposeful work, together.
About the Role:
You'll help build the very AI-powered platform you use every day, with real autonomy over the features you ship. We're looking for a
Product Analyst
to help us better understand how customers use Wrike, identify product opportunities, and support better product decisions with data.
You’ll work closely with Product, Design, Engineering, and UXR throughout the product development lifecycle — from exploring customer problems and evaluating opportunities to defining success metrics and measuring the impact of released features.
This role goes beyond reporting numbers. We expect Product Analysts to understand
why something is happening, why it matters, and what we should consider doing next
— turning data into clear insights and actionable recommendations.
Our Work Style:
Tech Stack:
SQL (GBQ), Python, Tableau, Amplitude, Airflow
Work Mode:
Hybrid – 2 days in office
Your Impact:
Discover and Evaluate Product Opportunities
Explore customer behavior and product usage, size opportunities, investigate root causes, and turn findings into actionable insights and recommendations.
Assess and Measure Product Impact
Estimate the potential impact of product initiatives, define meaningful success metrics and baselines, and evaluate whether released changes deliver the expected customer and business value.
Run Experiments and Product Research
Design and analyze experiments and quantitative research, selecting appropriate methods and data sources and clearly communicating limitations and confidence in the results.
Turn Data into Product Insights
Investigate adoption, engagement, conversion, and changes in user behavior. Go beyond what happened to explain why it matters and what teams should consider doing next.
Build Analytics for Scale
Create dashboards, reusable analyses, documentation, and automation that make recurring questions easier to answer and help teams use data more effectively.
Partner with Product Teams
Bring an analytical perspective to product discussions, communicate findings clearly, challenge assumptions when needed, and help teams make evidence-informed decisions.
Use AI to Work Smarter
Use AI responsibly to accelerate analytical work and improve analytical workflows.
Your Qualifications:
2+ years of experience in product, data, business analytics, or a similar analytical role
Strong SQL skills and experience with analytical databases; Google BigQuery is a plus
Experience with BI tools (Looker / Tableau)
Good understanding of statistics, experimentation, and A/B testing
Ability to independently drive analytical projects from understanding the question to delivering insights and recommendations
Strong problem-solving skills and ability to connect data to customer, product, and business context
Ability to validate data and assumptions and recognize limitations in evidence
Ability to balance analytical depth, speed, and business needs
Strong communication and collaboration skills
Experience using AI tools to improve analytical workflows and productivity, with a critical approach to validating outputs.
Upper-Intermediate or better English
Standout Qualities:
Python skills for data analysis
Experience with Amplitude
Experience with advanced analytical methods such as regression, clustering, or causal inference
Experience with product discovery or opportunity assessment
Experience building AI-enabled analytical workflows, automations, or reusable AI solutions.
Team Dynamics:
You'll join a team of experienced Product Analysts working closely with Product and R&D teams. We use data not only to measure what happened, but to understand customer behavior, identify opportunities, and help teams make better product decisions.
We value curiosity, analytical rigor, ownership, business thinking, and collaboration, while continuously looking for ways to make analytics more scalable through reusable approaches, automation, and AI.
What’s Next?
Exploratory call with recruiter
Home task assignment
Technical Interview
Culture Interview
If you're passionate about understanding how and why customers use products and want your analysis to influence real product decisions, we'd love to hear from you.
Perks & Benefits:
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
Your recruitment buddy will be
Alexandra Vorobyova
, Lead Recruiter.
#LI-AV1
Who Is Wrike and Our Culture
We’re a team of innovators and creators who solve the complex work problems of today and tomorrow.
Hybrid work mode
Wrike is our people, not a place. With 1,000+ employees collaborating across nearly every time zone, we support talent through 10 global hubs — Australia, Costa Rica, Cyprus, Czechia, Estonia, France, India, Ireland, Japan, and the United States — offering flexible ways of working that include remote work, hybrid environments, and co-working spaces across many locations.
While flexibility looks different across teams and regions, employees located near certain hubs — particularly in Prague (CZ), Nicosia (CY), Bangalore (IN), and Rennes (FR) — are generally expected to collaborate in person around 2–3 days per week, balancing the flexibility of distributed work with opportunities for in-person collaboration and connection.
Our persona
💡 Smart:
We love what we do, and we’re great at it because this is our domain. Our combined knowledge in this space is unmatched.
💚 Dedicated:
We get up every day focused on helping our customers win. We’re committed to helping our teammates win, too!
🤗 Approachable:
We're friendly, easy to get along with, considerate, and helpful.
Our culture and Values
🤩 Customer-Focused
We care about our customers.
We understand the customer journey, experience, and value derived from Wrike. Decision-making and action-taking are done with the customer in mind.
🤝 Collaborative
We work as one and win together,
each bringing unique strengths that contribute to diversity of thought for better outcomes. Leveraging our own work management platform, we foster an environment of creative collaboration and shared achievement.
🎨 Creative
We strive to succeed through continuous innovation.
It’s our pursuit of novel concepts that helped us create a market category. We continue to cultivate a workplace that fosters creative thinking as a means of transcending conventional boundaries and empowers us to break new ground to deliver extraordinary work management solutions.
💪 Committed
We believe in ownership at all levels of the organization,
by owning workflows from start to finish. Each member of our team is an integral part of this commitment, establishing work as a platform for personal growth and transformation, as well as collective success and growth.
Check out our
LinkedIn Life Page
,
Company culture page
,
Instagram
,
Wrike Engineering Team
,
Medium
,
Meetup.com
,
Youtube
for a feel for what life is like at Wrike.
Location: Nicosia
Wrike is the most powerful work management platform. Built for teams and organizations looking to collaborate, create, and exceed every day, Wrike brings everyone and all work into a single place to remove complexity, increase productivity, and free people up to focus on their most purposeful work.
Wrike is our people, not a place. As a distributed team, we own our growth, stay globally connected, and rely on the product we build to deliver impactful work alongside brilliant minds. You'll have real ownership over meaningful work, a global team that has your back, and the flexibility to do your best work your way. If that sounds like you, we'd love to hear from you.
Our vision:
A world where everyone is free to focus on their most purposeful work, together.
About the Role:
You'll help build the very AI-powered platform you use every day, with real autonomy over the features you ship. We're looking for a
Product Analyst
to help us better understand how customers use Wrike, identify product opportunities, and support better product decisions with data.
You’ll work closely with Product, Design, Engineering, and UXR throughout the product development lifecycle — from exploring customer problems and evaluating opportunities to defining success metrics and measuring the impact of released features.
This role goes beyond reporting numbers. We expect Product Analysts to understand
why something is happening, why it matters, and what we should consider doing next
— turning data into clear insights and actionable recommendations.
Our Work Style:
Tech Stack:
SQL (GBQ), Python, Tableau, Amplitude, Airflow
Work Mode:
Hybrid – 2 days in office
Your Impact:
Discover and Evaluate Product Opportunities
Explore customer behavior and product usage, size opportunities, investigate root causes, and turn findings into actionable insights and recommendations.
Assess and Measure Product Impact
Estimate the potential impact of product initiatives, define meaningful success metrics and baselines, and evaluate whether released changes deliver the expected customer and business value.
Run Experiments and Product Research
Design and analyze experiments and quantitative research, selecting appropriate methods and data sources and clearly communicating limitations and confidence in the results.
Turn Data into Product Insights
Investigate adoption, engagement, conversion, and changes in user behavior. Go beyond what happened to explain why it matters and what teams should consider doing next.
Build Analytics for Scale
Create dashboards, reusable analyses, documentation, and automation that make recurring questions easier to answer and help teams use data more effectively.
Partner with Product Teams
Bring an analytical perspective to product discussions, communicate findings clearly, challenge assumptions when needed, and help teams make evidence-informed decisions.
Use AI to Work Smarter
Use AI responsibly to accelerate analytical work and improve analytical workflows.
Your Qualifications:
2+ years of experience in product, data, business analytics, or a similar analytical role
Strong SQL skills and experience with analytical databases; Google BigQuery is a plus
Experience with BI tools (Looker / Tableau)
Good understanding of statistics, experimentation, and A/B testing
Ability to independently drive analytical projects from understanding the question to delivering insights and recommendations
Strong problem-solving skills and ability to connect data to customer, product, and business context
Ability to validate data and assumptions and recognize limitations in evidence
Ability to balance analytical depth, speed, and business needs
Strong communication and collaboration skills
Experience using AI tools to improve analytical workflows and productivity, with a critical approach to validating outputs.
Upper-Intermediate or better English
Standout Qualities:
Python skills for data analysis
Experience with Amplitude
Experience with advanced analytical methods such as regression, clustering, or causal inference
Experience with product discovery or opportunity assessment
Experience building AI-enabled analytical workflows, automations, or reusable AI solutions.
Team Dynamics:
You'll join a team of experienced Product Analysts working closely with Product and R&D teams. We use data not only to measure what happened, but to understand customer behavior, identify opportunities, and help teams make better product decisions.
We value curiosity, analytical rigor, ownership, business thinking, and collaboration, while continuously looking for ways to make analytics more scalable through reusable approaches, automation, and AI.
What’s Next?
Exploratory call with recruiter
Home task assignment
Technical Interview
Culture Interview
If you're passionate about understanding how and why customers use products and want your analysis to influence real product decisions, we'd love to hear from you.
Perks & Benefits:
25 working days of paid vacation
Sick Leave Compensation (5 Uncertified + 10 Certified Days)
Parental Leave: Fully Paid Maternity / 4 Weeks Paid Paternity
2 Volunteer Days
Medical Insurance (Employees + Dependents)
Life Insurance (Employees)
Provident Fund
Hybrid Working Model
School Allowance (Up to €600/month for school aged kids)
Simcard w/ Unlimited Internet Access for active employees
Office Lunch Allowance (via Wolt) on Wednesdays / Thursdays
Work Permit, Blue Card & Naturalization Support
Your recruitment buddy will be
Alexandra Vorobyova
, Lead Recruiter.
#LI-AV1
Who Is Wrike and Our Culture
We’re a team of innovators and creators who solve the complex work problems of today and tomorrow.
Hybrid work mode
Wrike is our people, not a place. With 1,000+ employees collaborating across nearly every time zone, we support talent through 10 global hubs — Australia, Costa Rica, Cyprus, Czechia, Estonia, France, India, Ireland, Japan, and the United States — offering flexible ways of working that include remote work, hybrid environments, and co-working spaces across many locations.
While flexibility looks different across teams and regions, employees located near certain hubs — particularly in Prague (CZ), Nicosia (CY), Bangalore (IN), and Rennes (FR) — are generally expected to collaborate in person around 2–3 days per week, balancing the flexibility of distributed work with opportunities for in-person collaboration and connection.
Our persona
💡 Smart:
We love what we do, and we’re great at it because this is our domain. Our combined knowledge in this space is unmatched.
💚 Dedicated:
We get up every day focused on helping our customers win. We’re committed to helping our teammates win, too!
🤗 Approachable:
We're friendly, easy to get along with, considerate, and helpful.
Our culture and Values
🤩 Customer-Focused
We care about our customers.
We understand the customer journey, experience, and value derived from Wrike. Decision-making and action-taking are done with the customer in mind.
🤝 Collaborative
We work as one and win together,
each bringing unique strengths that contribute to diversity of thought for better outcomes. Leveraging our own work management platform, we foster an environment of creative collaboration and shared achievement.
🎨 Creative
We strive to succeed through continuous innovation.
It’s our pursuit of novel concepts that helped us create a market category. We continue to cultivate a workplace that fosters creative thinking as a means of transcending conventional boundaries and empowers us to break new ground to deliver extraordinary work management solutions.
💪 Committed
We believe in ownership at all levels of the organization,
by owning workflows from start to finish. Each member of our team is an integral part of this commitment, establishing work as a platform for personal growth and transformation, as well as collective success and growth.
Check out our
LinkedIn Life Page
,
Company culture page
,
Instagram
,
Wrike Engineering Team
,
Medium
,
Meetup.com
,
Youtube
for a feel for what life is like at Wrike.
Location: San Francisco Bay Area, USA
Workplace: Hybrid
Why work at Higgsfield AI?
Higgsfield AI is the fastest-scaling generative AI company in history, hitting $1B in annual revenue run rate, 30M+ users worldwide, 6M+ generations per day, and powering 390 of Fortune 500 brands.
We're building at the absolute frontier of AI-powered video creation and next-generation creative tools. Joining Higgsfield means becoming part of a high-impact team shaping the future of AI-native experiences, at a company that isn't just moving fast, but rewriting what fast looks like.
About the role:
We're looking for a Data Engineer to own the data that runs Higgsfield's enterprise business, from raw data to the numbers leadership makes decisions on.
You'll own data end to end, from raw data collection through transformation, modeling and validation, to the reporting that Sales, RevOps, Finance and Product use to run the business. Revenue, contracts and commissions all run through this work, so accuracy matters.
This is a hands-on role with real ownership. You'll report to our Data Engineering Lead, take on projects independently, and help make sure data is never the bottleneck as the business accelerates. We're an AI company, and we expect our data engineers to use AI to multiply what they can deliver.
What you'll do:
- Own end-to-end data pipelines, from raw data collection and transformation to modeling, validation and reporting.
- Integrate CRM, billing, contract and product usage data into a consistent, trusted view of our B2B customers.
- Build the data models and dashboards behind revenue reporting, commissions, forecasting and customer insights.
- Turn ambiguous business questions from Sales, RevOps and Finance into scoped projects, and drive them to completion.
- Close data gaps across teams, whether that means partnering with backend engineering to capture new data or fixing a broken pipeline.
- Build AI-powered workflows (agents, reusable skills, automations) that work with our infrastructure and scale your impact.
- Validate every number before it ships, with automated checks, monitoring and documentation that keep our data audit-ready.
- Build executive-facing reports and dashboards (CEO / VP level) that are easy to read and highlight what needs action
Requirements:
- 4+ years in data engineering, analytics engineering or a related role, including building and maintaining complex production pipelines.
- Hands-on experience building with AI, not just using it: for example, creating custom agents, skills or automations with tools like Claude, ChatGPT, Gemini or Cursor. You know where these tools help and where they fall short.
- Strong SQL and Python, plus experience with modern data warehouses and transformation/orchestration tools (e.g., Snowflake or BigQuery, dbt, Airflow or Dagster).
- Experience integrating data from business systems such as Salesforce, HubSpot or Stripe.
- Structured thinking: you break ambiguous problems into clear steps and solve them methodically.
- A proactive, self-directed approach. You learn fast, take ownership without waiting for instructions, and push work over the finish line.
- Clear communication, including explaining technical work and its tradeoffs to nontechnical stakeholders.
Nice to Haves:
- Experience partnering with Finance on data that demands high precision (revenue, billing, commissions).
- Early or growth-stage startup experience.
Compensation & Benefits
- We offer a competitive and thoughtfully structured compensation package designed to align with impact, experience, and long-term growth.
- Base Salary: The anticipated salary range for this role is $200,000 - $260,000, depending on experience, skills, scope, and location.
- Bonus: This role is Bonus eligible and may participate in the Company's discretionary annual bonus program.
- Equity: In addition to cash compensation, employees are eligible to participate in the company’s stock option program and share in Higgsfield’s long-term growth.
- Benefits: We offer a comprehensive benefits package designed to support employees professionally and personally, including medical, dental, and vision insurance, a competitive 401(k) retirement plan with company matching, and additional benefits and perks.
- The opportunity to work on ambitious AI products alongside a highly experienced, fast-moving, and international team.
- Significant ownership, direct impact, and opportunities for professional growth as the company scales.
This is a hybrid role based in the San Francisco Bay Area. Team members are expected to work from our San Francisco office three full days per week, with the remaining days worked remotely and are expected to be available during agreed working hours and to maintain sufficient overlap with the relevant team’s time zone. We value in-person collaboration, active communication, responsiveness, and close partnership across teams.
Higgsfield AI is an equal opportunity employer. We are committed to building a diverse and inclusive team and do not discriminate on the basis of race, color, religion, sex, gender identity or expression, sexual orientation, national origin, age, disability, veteran status, or any other protected characteristic.
Location: Remote, Global
Supabase is the Postgres development platform, built by developers for developers. We provide a complete backend solution including Database, Auth, Storage, Edge Functions, Realtime, and Vector Search — all deeply integrated and designed for growth. We're building the best developer platform to power the next generation of software companies, and our go-to-market team is scaling fast to match.
We're looking for a lead in Go-To-Market Strategic Planning, to shape how Supabase's GTM engine runs. This is a high-leverage, high-ownership role that sits at the intersection of strategy, data, and execution. You'll work directly with Success, Sales, Marketing, Finance, Partnerships and Product to build the systems, processes, and insights that help our go-to-market teams move faster and smarter.
WHAT YOU'LL DO
- Own the end-to-end GTM Strategic Planning, covering territory design, segmentation design, target planning and GTM capacity planning.
- Build and maintain a single source of truth for planning data across HubSpot, BigQuery and Hex.
- Translate company priorities into field actions through designing the planning strategy and seeing it through to execution.
- Partner with Sales Leadership to design and iterate on coverage models, segmentation, and team structures that reflect how developers actually buy.
- Define and track the metrics that matter, and surface insights that drive action, not just reporting.
- Lead the Strategic Planning roadmap: guide and lead in tooling investments and evaluate new systems and processes against real business needs.
- Work cross-functionally with talent acquisition, ensuring GTM and territory models stay aligned.
- Collaborate with GTM Engineering on automations and data pipelines so that your strategy translates into working systems, not just slide decks.
WE'LL EXPECT YOU TO
- Operate with high ownership. You set your own agenda, escalate when needed, and don't wait to be asked.
- Work asynchronously and document clearly. We're a globally distributed team and writing is how we think.
- Bridge strategy and execution. From drafting segmentation approaches in Google Docs to using SQL to monitor its effectiveness.
- Build for scale without over-engineering. Simple systems that work beat perfect systems that don't ship.
- Stay close to the customer. Developers are our buyers, and understanding how they discover, adopt, and expand is core to everything you'll do.
YOU MIGHT BE A FIT IF YOU
- Have 6+ years of experience in Revenue Operations, Strategy Consulting, GTM Strategy, or Sales Operations at a B2B SaaS or developer-tools company.
- Are fluent in the GTM stack: HubSpot, BigQuery, and Hightouch.
- Can write SQL comfortably and aren't afraid to get into the data yourself before asking an analyst.
- Have experience designing or overhauling sales processes, forecasting cadences, or territory models in a high-growth environment.
- Understand product-led growth motions: PLS, usage-based triggers, and how PLG data flows into commercial pipelines.
- Thrive with autonomy and are energized by building things that didn't exist before you joined.
- Communicate with clarity across Finance, Sales, Success, Partnerships, Engineering, and Marketing without losing nuance.
WHAT WE OFFER
- Fully Remote
We hire globally. We believe you can do your best work from anywhere. There are no Supabase offices, but we provide a WeWork membership or co-working allowance you can use anywhere in the world.
- ESOP
Every team member receives ESOP (equity ownership) in the company. We want everyone to share in the upside of what we’re building together.
- Tech Allowance
Use this budget to set up your ideal work environment—laptop, monitor, headphones, or whatever helps you do your best work.
- Health Benefits
Supabase covers 100% of health insurance for employees and 80% for dependents, wherever you are. Your wellbeing and your family’s health are important to us.
- Annual Off-Sites
Once a year, the entire company gathers in a new city for a week of connection, collaboration, and fun. It’s a highlight of our year.
- Flexible Work
We operate asynchronously and trust you to manage your own time. You know what needs to be done and when.
- Professional Development
Every team member receives an annual education allowance to spend on learning—courses, books, conferences, or anything that supports your growth.
ABOUT THE TEAM
Supabase was born-remote and open-source-first. We believe our globally distributed team is our secret weapon in building tools developers love.
- ~400 team members
- 60+ countries
- 20+ languages spoken
- Over $1B raised (including our $500M Series F)
- 540,000+ community members
We move fast, build in public, and use what we ship. If it’s in your project, we probably use it in ours too. We believe deeply in the open-source ecosystem and strive to support—not replace—existing tools and communities.
Location: USA - New York
From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven.
About Us
Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data.
Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on.
Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions.
As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact.
During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites.
About the Role
Fivetran is building data pipelines to power the modern data stack for thousands of companies.
We’re looking for a As the Manager of Sales Compensation Systems and Analytics, you’ll operate at the center of go-to-market execution —- owning the systems, data, and analytics that power how Fivetran + dbt labs pays its sellers and measures performance against quota. You’ll build and scale the compensation infrastructure, deliver accurate and timely commissions, and provide insights that inform plan design and executive decisions. You’ll partner closely with Sales Leadership, Revenue Operations, Sales Strategy, Revenue Accounting, Payroll, Legal, and Analytics.
This role reports to the Sr. Director, Global Sales Compensation and blends sales compensation administration, systems ownership, data analytics, and operational execution. You’ll drive the automation and accuracy of our commission processes, help scale our compensation platform for a hybrid pricing motion that includes both subscription contracts and usage-based (consumption) revenue, and support high-visibility initiatives across the function.
This is a high-impact role ideal for someone who is passionate about leveraging systems, data, and analytics to motivate sales performance and drive operational excellence in a high-growth, cross-functional environment.
This is a full-time role with opportunities to connect and build as a team.
What You’ll Do
Compensation Systems Ownership:
Own the configuration, administration, and roadmap of our sales compensation platform (e.g., Xactly, CaptivateIQ, Varicent, or similar), including plan builds, crediting rules, quota and territory loads, and integrations with Salesforce, the data warehouse, and HRIS/Payroll. Partner with Systems and IT on releases, testing, and enhancements.
Commission Operations:
Oversee the end-to-end monthly and quarterly commission calculation, validation, and payout cycle, ensuring accuracy, timeliness, and compliance with plan documents, including crediting for subscription and consumption-based bookings, overages, and renewals
Plan Design Support:
Partner with Sales Strategy, Finance, and GTM leadership to model, build, and launch annual and in-year compensation plans, quota structures, and SPIFs; quantify cost of sales and the financial impact of plan changes.
Analytics & Insights:
Deliver analysis on plan effectiveness, attainment distribution, pay-for-performance alignment, quota capacity, and comp cost as a percent of ARR/bookings to inform decisions by the CRO, CFO, and Sales Leadership.
Accruals & Forecasting:
Partner closely with Revenue Accounting and FP&A on commission accruals, ASC 340-40 capitalization, variance analysis, and forecast-to-actual tracking of variable compensation expense.
Governance & Controls:
Own SOX-compliant controls, audit readiness, plan documentation, and dispute resolution processes; ensure data integrity and reconciliation between source systems, the comp platform, and payroll.
Automation & Reporting Infrastructure:
Use AI tools, SQL (BigQuery), or Python to automate data pulls, build repeatable and auditable processes, and improve the accuracy, speed, and transparency of commission calculations; partner with Analytics, AI Transformation, and Systems on data quality and self-serve reporting.
Seller Experience & Reporting:
Create automated, executive-ready dashboards and statements (e.g., Looker, Tableau) that give sellers and managers clear, real-time visibility into attainment, earnings, and pipeline-to-pay, and that distill trends into actionable recommendations for GTM leadership.
Team Leadership:
Provide technical guidance, review work, and help raise the process and analytical standards of the Sales Compensation team
Skills We’re Looking For
5-7 years of experience in sales compensation, sales operations, revenue operations, or FP&A, with hands-on administration of a compensation platform
Expert-level analytical modeling: builds compensation models from scratch, including cost-of-program scenarios, pay-positioning analysis, attrition and retention-risk modeling, and sensitivity and tradeoff analysis
Built with AI: has personally used AI tools (LLMs, assistants, or automation and agent platforms) to build compensation tools, models, or workflows others rely on, and can explain how they work and how outputs were checked for accuracy
Technical aptitude: working proficiency in SQL, Python, or similar scripting; experience with Salesforce, BI tools (e.g., Looker), and data warehouses (e.g., BigQuery, Snowflake)
Must have CaptivateIQ
Statistical judgment: knows when market data is credible or a sample is too small, and presents ranges without false precision
Compensation expertise: job architecture, compensation frameworks, market pricing, pay cycles, global compensation practices, and pay-for-performance design, with knowledge of competitor compensation at high-growth tech companies
Reasons from first principles: balances best practice with what the business needs and can rebuild a framework when the standard approach does not fit
Trusted advisor to senior leaders on sensitive, high-stakes compensation decisions (offers, promotions, retention, org changes), influencing outcomes through data and judgment rather than authority
Operational excellence: connects systems, stakeholders, and programs to deliver compensation end to end, accurately and on time
Clear communicator: turns complex analysis into a crisp recommendation an executive can act on in one conversation
Experience with usage-based or consumption pricing models and the associated compensation design challenges strongly preferred
Bonus Skills
Experience with Tableau or other BI tools, or building dashboards for leaders
Experience supporting GTM or sales organizations at a high-growth tech company
Experience scaling compensation programs through hypergrowth, IPO, or major organizational change
Background in a quantitative field (e.g., finance, statistics, engineering), or equivalent experience
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.
New York Pay Range
$148,104
—
$185,130 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: Remote, 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
We’re looking for a talented Senior Sales Engineer to join our Enterprise, Existing Business sales team. As an Enterprise Sales Engineer, you will work closely with our sales team to understand our Enterprise customers’ complex business needs and showcase how Fivetran’s data replication solutions can help them achieve their desired business outcomes. You will be responsible for providing technical expertise, identifying technical requirements, and supporting a regimented proof-of-value process throughout the sales cycle.
This is a full-time, remote position based in US.
Technologies You’ll Use
AWS, GCP, Azure, Snowflake, BigQuery, Databricks, Kafka, Grafana Linux, Windows, Python
What You’ll Do
Work with Enterprise customers to understand their business, their use cases, and their data replication and data transformation requirements
Work cross functionally with your internal counterparts (AEs, Professional Services, BDRs, marketing, and support) to build and maintain a holistic account ownership plan
Develop and deliver technical presentations to Enterprise audiences
Ensure the technical win by running a tight proof-of-value process
Work closely with Fivetran+dbt’s Product and Engineering teams to ensure alignment of our solutions to Enterprise customer needs
Develop and maintain relationships with key Enterprise customers and partners
Stay up-to-date on the latest technologies and trends in our industry
Skills We’re Looking For
5+ years in one of the following areas: data replication, data practitioner, data operations, analytics, sales engineering, or related technical field
Proven ability to work cross-functionally to support large enterprise customers
Strong technical background covering data replication, cloud infrastructure, data replication technologies, and/or database administration
Experience with modern data analytics technologies, including cloud data warehouses, transformation tooling, data catalogs, and BI tools
Excellent communication and presentation skills with a keen ability to explain complex technical concepts to both technical and non-technical stakeholders
Strong problem-solving and analytical skills
Bonus Skills
Experience with Oracle, SQL Server & SAP databases
Basic python competency and advanced SQL knowledge
Hands on experience with other data replication or ETL tools
Experience with self-hosted software applications and supporting infrastructure
Hands on networking experience both in the cloud and on-premise
Compensation & Benefits
The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role. For this role, on-target earnings (OTE) are split 70% base salary and 30% variable compensation. Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process.
OTE (On Target Earning)
$218,491.87
—
$303,462.32 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: 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 Software Engineer for our data pipeline service to build and work on data pipelines that moves data from various sources to data warehouses.
The work is very diverse — all the way from patching software to building warehouse data writers, to optimizing the behavior of sync services operating on our global Kubernetes compute cluster.
You will be responsible for ensuring the technical excellence for your team and owned services, by contributing to the code, reviewing code, designing features and mentoring our junior colleagues.
You will understand the key values that make our product great, and implement those values in the many small decisions you make every day as a product designer.
Technologies You’ll Use
Java, PostgreSQL, Cloud Data Warehouses, AWS, GCP, Azure, Temporal, Grafana
, Kubernetes, Docker
What You’ll Do
Work on core features of the product, systematic enhancements, and bug fixes
Write new or optimize the existing data writer platform to load data to warehouses
You'll be working with Cloud APIs, Datawriters, SQL DBs, SQL Warehouses, etc
You'll be working on the core data pipeline that moves terabytes of data from all our customer sources to data warehouses by processing data, splitting it into files formats like CSV/AVRO/Parquet, merging and loading to warehouses.
As a senior engineer in the team, you will own and drive features within the technology team, pitch design ideas, work closely with leads in the team to perform design reviews, and contribute directly to code.
Skills We’re Looking For
Strong technical and problem-solving skills with 5+ years of professional experience writing Java code in the distributed production environment
Experience in reliable data intensive distributed systems, with an emphasis on high-volume data management platforms that operate under strict SLAs
Understanding complex SQL merge queries, plans, and their best practices
Robust and reliable system design skills to satisfy project feature requirements and optimise the existing systems
Strong troubleshooting skill to debug problems with in existing code, connect the dots, come up with detailed RCA
Understand how to use AI code assist and coding agents to automatically generate code for features, bugs, testing, and investigation
Ability to use conversational AI systems (like Claude, ChatGPT, and internal chatbots) to support researching, authoring, reviewing, and synthesizing various SDLC artifacts such as TDDs, PRDs, Postmortems, Test Plans, and Proposals
Bonus Skills
Experience with Data Warehouses like BigQuery, Databricks, SQL Like with exposure to their internals
Experience in data processing (ETL, ELT)
Experienced working in a cloud environment utilizing AWS, GCP, Azure, Kubernetes, Docker, BuildKite, or similar technologies.
#LI-AV1
#LI-HYBRID
Perks and Benefits
100% employer-paid medical insurance
*
Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off.
RSU stock grants*
Professional development and training opportunities
Company virtual happy hours, free food, and fun team-building activities
Monthly cell phone stipend
Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents.
*
May vary by country and worker type - please reach out to your recruiter for more information
Click
here
to learn more about Fivetran's Benefits by Region.
We’re honored to be
valued at over $5.6 billion
, but more importantly, we’re proud of our
core values of Get Stuck In, Do the Right Thing, and One Team, One Dream
. Read about us in
Forbes
.
Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities.
To learn more about Fivetran’s culture and what it’s like to be part of the team,
click here
and enjoy our video.
To learn more about our candidate privacy policy, you can
read our statement here
.
We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this
form
. We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.
Location: Poland; Georgia; Serbia; Bulgaria; Czechia; Kazakhstan
We are looking for a Data Engineer to join our team and help build and maintain scalable data pipelines and data warehouse solutions.
In this role, you will work with large datasets, design efficient data processing workflows, and ensure the reliability and performance of our data platform.
Since 2007, MMDSmart has been a leading supplier in cloud-based business communications, delivering game-changing IT products to businesses in over 100 countries. Our success is fueled by the inspiration and innovative ideas of our team members, encouraging their growth and impacting our Messaging and Voice solutions. These empower our clients to communicate more effectively with their customers. Don’t miss this chance to excel in a rapidly expanding tech company, where your potential and ambitions are not just recognized, but celebrated.
Requirements
What will you do at MMDSmart?
Design, build, and maintain data pipelines for batch and streaming data processing;
Develop and optimize ETL workflows using Python and SQL;
Build and maintain Airflow DAGs for orchestration of data workflows;
Implement data transformations and data quality checks;
Optimize BigQuery queries and data models for performance and cost efficiency;
Troubleshoot and improve reliability of existing pipelines;
Collaborate with analysts and engineering teams to support data needs.
You are a perfect match if you have:
4+ years of experience as Data Engineer;
Strong experience with SQL and Google BigQuery;
Experience building data pipelines and ETL processes;
Solid knowledge of Python for data processing;
Hands-on experience with Apache Airflow;
Experience working with large datasets;
Understanding of data modeling and data warehouse concepts;
Experience with query optimization and cost-efficient data processing;
Experience with data pipeline monitoring and observability;
Lannguage knowledge: fluency in Russian and English.
Nice to have:
Experience with Kafka or streaming data pipelines.
You will primarily focus on:
Building and maintaining data pipelines;
Batch and streaming data processing;
Data transformation and orchestration;
Performance and cost optimization.
Our Tech Stack
Google BigQuery;
Python;
Apache Airflow;
Apache Spark (PySpark).
The role does not involve DevOps, ML, or BI development.
Benefits
Why do talents choose and stay at MMDSmart?
Embrace the opportunity to work in a company that cares about:
Your Wellness:
Access to mental health programs, comprehensive medical insurance, and a sports card*.
Your Happiness:
Enjoy the company of cool teammates, a friendly atmosphere, a strong mentorship, and a variety of bonuses & corporate gifts.
Your Development:
Benefit from free educational events & courses, and English classes with native speakers.
Your Career:
Focus on your professional development in a supportive environment.
Work-Life Balance:
Choose your working format - remote, office-based, or hybrid and engage in team-building activities.
Think this role's got your name on it? Go ahead and apply, we'd love to see what you've got!
Equal-Opportunity Employment
We are an equal opportunity employer committed to creating a diverse and inclusive work environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
*Medical Insurance and Sport Card perks are available for employees located in Bulgaria.
Location: South Africa; Philippines; Morocco; Egypt; Germany; United Kingdom
About Huzzle
At Huzzle, we connect exceptional talent with exciting opportunities at leading companies across the UK, US, Canada, Europe, and Australia. We work with a diverse range of clients, including startups, digital agencies, and technology-driven businesses across industries such as SaaS, MarTech, FinTech, and AI.
Unlike traditional outsourcing agencies, we place you directly with our clients, where you become an integral, in-house member of their team.
Job Type:
Full-time
Location:
Remote
Job Summary
As a Data Engineer, you will play a key role in designing, developing, and maintaining scalable data pipelines and infrastructure. You will collaborate with data analysts, data scientists, software engineers, and business stakeholders to ensure data is reliable, accessible, and of high quality across the organisation.
This is a great opportunity for professionals who enjoy tackling complex data challenges and building robust systems that power business intelligence, analytics, and machine learning initiatives.
Key Responsibilities
Design, build, and maintain scalable ETL and ELT data pipelines.
Develop and optimize data architectures, databases, and data warehouses.
Integrate data from various sources, APIs, and third-party platforms.
Maintain data quality, accuracy, consistency, reliability, and security.
Monitor, troubleshoot, and improve data pipelines and workflows.
Work closely with analytics, engineering, and business teams to identify and meet data requirements.
Establish data governance standards and best practices for data management.
Improve data storage, processing speeds, and query performance.
Support business intelligence, reporting, and analytics projects.
Maintain documentation of data models, workflows, and technical processes.
Requirements
2+ years of experience in data engineering, data warehousing, or a similar field.
Strong SQL skills and a solid understanding of database management.
Proficiency in Python, Java, Scala, or other relevant programming languages.
Practical experience with ETL/ELT tools and building data pipelines.
Familiarity with cloud platforms such as AWS, Azure, or Google Cloud Platform.
Hands-on experience with modern data warehouse solutions such as Snowflake, Redshift, BigQuery, or Databricks.
Knowledge of workflow orchestration tools such as Airflow or Prefect.
Understanding of data modelling, governance, and data quality best practices.
Experience handling large datasets and working with distributed systems is an advantage.
Strong analytical thinking, problem-solving, and communication abilities.
Comfortable working independently while collaborating with a remote team.
Benefits
💰
Competitive compensation:
Tailored to your experience, technical skills, and location.
🌎
Fully remote work:
Enjoy the flexibility to work from anywhere.
🚀
Career development:
Join innovative companies and contribute to meaningful, high-impact projects.
📈
Long-term potential:
Grow your career alongside ambitious, expanding global organisations.
🧠
Ongoing learning:
Gain exposure to emerging data technologies, cloud platforms, and large-scale data environments.
🤝
Collaborative environment:
Work with skilled engineers, analysts, and business stakeholders.
⚙️
Modern tech stack:
Work with cutting-edge data tools, technologies, and cloud-based solutions.
Location: USA - Philadelphia (dbt)
From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven.
About Us
Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data.
Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on.
Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions.
As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact.
During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites.
About the Role
Fivetran is building data pipelines to power the modern data stack for thousands of companies.
We’re seeking an experienced Resident Solution Architect with a passion for solving challenging problems with dbt to join our Professional Services team. RSAs are billable to dbt Platform Enterprise customers and help achieve our mission to empower data developers to create and disseminate organizational knowledge.
This is a full-time position based in the United States, with a focus on MST, CST, and EST timezones.
Technologies You’ll Use
dbt Platform and dbt Core
for data modeling, testing, documentation, development workflows, and jobs
SQL and Jinja
for building and maintaining data transformations;
Python
for scripting and integrations as needed
Cloud data platforms
, such as Snowflake, Databricks, BigQuery, or Redshift
Git and GitHub
, including branching, pull requests, and
CI/CD
workflows
Data ingestion and integration tools
, including Fivetran, plus APIs and connectors
Cloud and orchestration tools
used in customer environments; the specific tools will vary by engagement
What You’ll Do
Work on a variety of impactful customer technical projects — inclusive of implementation, troubleshooting configurations, instilling best practices, and solutioning MVPs and long term solutions to customer specific requirements
Consult on architecture and design
Ensure our most strategic dbt platform customers are adopting the product
Collaborate with other internal customer facing teams at dbt Labs - Sales, Solution Architects, Training, Support
Provide critical feedback to dbt Labs product and engineering teams to improve and prioritize customer requests and ensure rapid resolution for engagement specific issues
Become a product expert with dbt in the context of the modern data stack (if you aren't already)
You are a good fit if:
You have deep experience working with enterprise customers across a variety of use cases, ideally in a customer-facing post-sales, technical architect, or consulting role
You have deep expertise in at least one data platform (Snowflake, Databricks, BigQuery, Redshift)
You have at least 2 years of experience with dbt, ideally including 1 year with dbt platform
You are proficient in writing SQL and have some python experience
You look forward to building skills in technical areas that support deployment and integration of dbt platform solutions to complete customer projects
You are customer focused - embracing one of our core values that users are our best advocates
You are highly organized. Comfort with technical project delivery - managing scope, timelines, and deliverables - this role will be staffed on multiple engagements at once
You communicate clearly and concisely with internal and external stakeholders - demonstrating a capacity to clearly and concisely communicate about complex technical, architectural, and/or organizational problems and propose thorough iterative solutions
You thrive in a remote organization that highly values transparency and cross-collaboration
~10% travel should be expected (occasional customer visits, company retreat and offsites)
Bonus Skills
You have obtained the
dbt Analytics Engineering Certification
You have the ability to advise on dbt Platform recommendations, and build direction/consensus with the customer to move forward
Experience with traditional Enterprise ETL tooling (Informatica, Datastage, Talend)
#LI-REMOTE
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.
Pay Range
$167,983
—
$190,000 USD
Perks and Benefits
100% employer-paid medical insurance
*
Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off.
RSU stock grants*
Professional development and training opportunities
Company virtual happy hours, free food, and fun team-building activities
Monthly cell phone stipend
Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents.
*
May vary by country and worker type - please reach out to your recruiter for more information
Click
here
to learn more about Fivetran's Benefits by Region.
We’re honored to be
valued at over $5.6 billion
, but more importantly, we’re proud of our
core values of Get Stuck In, Do the Right Thing, and One Team, One Dream
. Read about us in
Forbes
.
Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities.
To learn more about Fivetran’s culture and what it’s like to be part of the team,
click here
and enjoy our video.
To learn more about our candidate privacy policy, you can
read our statement here
.
We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this
form
. We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.
Location: Remote, 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 is building data pipelines to power the modern data stack for thousands of companies.
We’re looking for a Manager Sales Engineering Specialists to oversee our data platform Specialists functions. In this role, you will work alongside global Sales Engineering leadership to leverage a team of technical experts to accelerate our most complex enterprise deals, drive customer adoption after the sale, and improve the efficiency of the Sales Engineering motion at large. As customers build toward AI and agentic workloads, you will keep your team ahead of what those workloads demand of the data platform.
You will need a deep understanding of how modern data movement and transformation platforms like ours are architected, including the AI use cases built on top of them, and a keen ability to lead a team of highly specialized resources. You will be tasked with developing and retaining experienced, high-performing talent who can speak the language of enterprise architects, data engineers, and data platform owners, and with hiring where the team needs to grow.
This is a full-time position based in the US.
Technologies You’ll Use
Fivetran, dbt, Enterprise databases and applications (including SAP), cloud data warehouses and lakehouses (Snowflake, BigQuery, Databricks), open table formats (Apache Iceberg), dbt, SQL, reverse ETL, AI and agent tooling, AWS, GCP, Azure
What You’ll Do
Lead a team of tenured experts across our data platform specialties to act as technical liaisons between Sales Engineering, Sales, Product, and Engineering.
Support Global Sales teams by proactively embedding specialist functions to remove technical blockers in complex enterprise deals and in customer adoption after the sale.
Implement strategies to maximize deal velocity and customer adoption by streamlining how specialists are engaged, prioritized, and measured.
Execute hands-on tasks when needed, including architecture reviews, critical customer calls, or complex proofs of value.
Ensure the team provides timely, strategic, and accurate guidance during technical evaluations and customer escalations.
Build strong working relationships with strategic internal partners, including Product, Engineering, and other sales teams.
Coach team members to maximize performance and efficiency, and prepare them for future roles.
Ensure the team shares specialist knowledge across the field through enablement and documentation.
Keep the team current on how AI and agentic workloads change customer requirements, and turn that into field guidance.
Skills We’re Looking For
People Leadership:
Proven experience leading and developing a Sales Engineering, Solution Architecture, or other technical team, with people management experience preferred.
Technical Depth:
Hands-on expertise in one or more areas across the data lifecycle, such as database and application replication, SAP, lake and warehouse architectures, transformation, activation, or AI and context engineering, and the breadth to credibly lead specialists in other disciplines. Experience applying a narrower specialty across several of these areas also counts.
Cloud and Data Architecture:
Proficiency with major cloud providers (AWS, GCP, Azure), specifically regarding deployment and connectivity, and with modern data architectures, including cloud data warehouses and lakehouses.
AI Fluency:
Working understanding of how AI and agentic workloads change customers' data requirements, and fluency using AI tools to scale your own and your team's work.
Technical Sales Acumen:
Extensive Sales Engineering or specialist experience supporting complex enterprise sales cycles, including proofs of value and senior stakeholders, and deep knowledge of the broader technical sales and demonstration process.
Communication Skills:
Best-in-class ability to explain complex data and AI concepts to non-technical buyers and technical architects alike, and to influence Product and Engineering priorities with customer evidence.
Bonus Skills
Prior experience at an analytics, ETL, BI, or open-source data software company
Familiarity with dbt, Terraform, or similar tools for transformation and managing cloud infrastructure
Experience managing distributed teams across multiple regions and time zones
Hands-on experience with AI and context engineering, such as LLM applications, MCP, semantic layers, or metadata and retrieval
OTE (On Target Earning)
$212,004.29
—
$294,450.54 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: Chicago
The Channel and Ecosystems team is dedicated to accelerating Asana's growth and market reach through partnerships and fostering a thriving partner network. We build and nurture relationships with Channel Partners (VARs, Services Partners, Distributors, Systems Integrators), Technology Partners (ISVs, App Partners) and Strategic Alliances to support Asana customers across geographies through our partners' specialized expertise, consulting and technical capabilities. Our team collaborates closely with internal cross-functional teams to align partner efforts with company objectives and ensure that partners are engaged through comprehensive enablement, program support and resources.
As a Senior Analyst, Channel Strategy & Operations, you will be a core builder and strategic thought partner for our expanding partner business. Reporting to the Head of Channel Strategy & Operations, you will help build the data foundation that makes partner performance visible and trusted, improve operational processes, and lead strategic initiatives that drive partner-sourced and partner-influenced revenue. This is a high-growth role. You'll have real ownership early, direct exposure to Channel, Sales, and Revenue Strategy leaders, and a path to broader scope as the partner business scales. You'll work independently and be expected to turn analysis into decisions and recommendations.
This role is based in our Chicago office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do and the teams with which you partner. If you're interviewing for this role, your recruiter will share more about the in-office requirements.
What you’ll achieve
Strategic Initiative Leadership:
Take end-to-end ownership of high-priority initiatives—such as scaling cloud marketplace and co-sell motions, defining lead-sharing and renewal strategies, and designing partner incentive models—by scoping problems, building business cases, and driving cross-functional execution.
Commercial Modeling & Business Sizing:
Build quantitative business cases, sizing models, and scenario analyses (such as partner discount and margin modeling) that guide strategic investment and policy decisions.
Data Infrastructure & Measurement:
Build and maintain scalable datasets, pipelines, and dashboards in Databricks and Salesforce to measure partner contribution across the entire go-to-market lifecycle for Finance, Revenue Strategy, and Channel leadership.
Operational Excellence & Root-Cause Resolution:
Investigate partner attribution gaps, quoting and billing errors, and policy edge cases to fix upstream process bottlenecks and establish durable playbooks.
AI Workflow Innovation:
Leverage AI daily to accelerate research, data modeling, and process documentation, while prototyping and piloting AI-driven workflows that automate routine operational triage and hygiene checks.
Cross-Functional Enablement:
Partner with GTM Systems, Business Process, and Enterprise Technology teams to author requirements, conduct testing, and support rollout of CRM/PRM enhancements.
About you
Demonstrates curiosity about AI tools and emerging technologies, with a willingness to learn and leverage them to enhance productivity, collaboration, or decision-making.
5+ years of experience in channel/partner operations, revenue operations, business strategy, management consulting, or a related analytical role (B2B SaaS experience preferred).
Demonstrated fluency using AI tools to accelerate analysis, workflow prototyping, and documentation, combined with sound judgment to evaluate output integrity.
Advanced SQL proficiency and proven ability to independently build data models, pipelines, and dashboards in Databricks or comparable platforms (e.g., Snowflake, BigQuery, Tableau, Looker).
Strong Salesforce reporting capabilities with a clear understanding of CRM/PRM data architectures and lifecycle reporting.
Solid understanding of partner go-to-market motions (resellers, SIs, referral, co-sell, cloud marketplaces) and partner tiering or incentive structures.
Strong business acumen and consultative skills, with the ability to navigate ambiguous problems, synthesize trade-offs, and present concise recommendations to senior leaders.
A systems-oriented mindset focused on solving upstream root causes rather than applying temporary downstream fixes.
A track record of high achievement and a drive to grow quickly, with examples of taking on more scope than your role required
At Asana, we're committed to building teams that include a variety of backgrounds, perspectives, and skills, as this is critical to helping us achieve our mission. If you're interested in this role and don't meet every listed requirement, we still encourage you to apply.
What we’ll offer
Our comprehensive compensation package plays a big part in how we recognize you for the impact you have on our path to achieving our mission. We believe that compensation should be reflective of the value you create relative to the market value of your role. To ensure pay is fair and not impacted by biases, we're committed to looking at market value which is why we check ourselves and conduct a yearly pay equity audit.
For this role, the estimated base salary range is between $137,000 - $175,000. The actual base salary will vary based on various factors, including market and individual qualifications objectively assessed during the interview process. The listed range above is a guideline, and the base salary range for this role may be modified.
In addition to base salary, your compensation package may include additional components such as equity, sales incentive pay (for most sales roles), and benefits. If you're interviewing for this role, speak with your recruiter to learn more about the total compensation and benefits for this role.
We strive to provide equitable and competitive benefits packages that support our employees worldwide and include:
Mental health, wellness & fitness benefits
Career coaching & support
Inclusive family building benefits
Long-term savings or retirement plans
In-office culinary options to cater to your dietary preferences
These are just some of the benefits we offer, and benefits may vary based on role, country, and local regulations. If you're interviewing for this role, speak with your recruiter to learn more about the total compensation and benefits for this role.
#LI-Hybrid
About us
Asana is a leading platform for human + AI collaboration. Millions of teams around the world rely on Asana to achieve their most important goals, faster. Asana has been named to Fortune's Best Workplaces for 7+ years and recognized by Fast Company, Forbes, and Gartner for excellence in workplace culture and innovation. We offer an exceptional office-centric culture while adopting the best elements of hybrid models to ensure that every one of our global team members can work together effortlessly. With 13+ offices all over the world, we are always looking for individuals who care about building technology that drives positive change in the world and a culture where everyone feels that they belong.
We believe in supporting people to do their best work and thrive. Our goal is to ensure that Asana upholds an environment where all people feel that they are respected and valued, whether they are applying for an open position or working at the company. We provide equal employment opportunities to all applicants without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by law.
Join Asana’s Talent Network
to stay up to date on job opportunities and life at Asana.
Location: Hybrid
About Us
At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company.
At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in.
Available Locations:
Austin, TX | Lisbon, Portugal | London, UK
About the role
The Snr Software Engineer, AI & Infrastructure Planning role helps Cloudflare build, deploy, and operate one of the world's largest distributed networks. You will build an auditable multi-agent system on Cloudflare’s platform to replace notebooks and email threads with agent-driven forecasts, supply plans, cost models, and workflow approvals into agent workflows that planners & executives rely on for decision analysis.
Responsibilities
Collaborate closely with capacity planning, networking, and data center engineering teams to encode technical domain expertise into structured specifications, formal data contracts, and agent functional capabilities.
Architect, deploy, and maintain scalable production agents and durable workflows leveraging the Cloudflare Workers ecosystem, including Durable Objects, Workflows, D1, R2, Queues, Vectorize, Workers AI, and AI Gateway.
Translate core infrastructure planning functions—such as forecasting, supply planning, cost modeling, narrative documentation, and executive approvals—into automated LLM deployment or deterministic logic based agent workflows designed for critical decision-making analysis.
Implement rigorous risk tiering, formal approval checkpoints, detailed audit logs, and execution lineage to ensure safe autonomous operations.
Incorporate predictive statistical and machine learning models into agent systems, establishing robust BigQuery data pipelines, optimized access patterns, and continuous monitoring.
Author comprehensive technical specifications and Requests for Comments (RFCs), perform peer design reviews, and establish architectural standards for AI agent deployment across the organization.
Desirable Skills, Knowledge, and Experience
Senior-level software engineering experience, with security conscious production systems you can point to (repos, releases, services you operated).
Strong TypeScript, and comfort building on serverless or edge runtimes (Cloudflare Workers preferred). HTTP APIs, async, queues, performance.
Experience with LLMs and agents: tool calling, structured output, multi-step or multi-agent orchestration, prompt and eval iteration.
Experience with durable state and workflows (Durable Objects, Cloudflare Workflows, or equivalents such as Templets updraoral or Step Functions).
Demonstrated experience in infrastructure planning: capacity planning, forecasting, networking, CDN, cloud or data center capacity, or adjacent work. We will teach you our specific systems.
Solid data skills: SQL, a cloud data warehouse (BigQuery preferred), and working knowledge of forecasting and statistical modeling (backtesting, error metrics, knowing when a model is wrong).
Clear written communication: specs, RFCs, and explanations that planners and executives can use.
Bonus Points
A data science or ML background (time series, optimization, predictive modeling) and Python for scientific computing.
Experience with Hono, Zod, OpenAPI, and a modern frontend framework (Astro or React).
Experience with peering, BGP, ASN and IX data, backbone or transit planning, or colo, power, and procurement planning.
Experience with agent frameworks (LangGraph, Autogen, A2A) and knowing what to borrow and what to discard.
CI/CD and infrastructure as code (GitLab CI, Terraform).
Experience building LLM evaluation frameworks or human-review workflows.
Bias for simple, scalable designs.
Compensation
Compensation may be adjusted depending on work location.
For Portugal-based hires: Estimated annual salary of €66,000-€91,000
Equity
This role is eligible to participate in Cloudflare’s equity plan.
Benefits
Cloudflare offers a complete package of benefits and programs to support you and your family. Our benefits programs can help you pay health care expenses, support caregiving, build capital for the future and make life a little easier and fun! The below is a description of our benefits for employees in the United States, and benefits may vary for employees based outside the U.S.
Health & Welfare Benefits
Medical/Rx Insurance
Dental Insurance
Vision Insurance
Flexible Spending Accounts
Commuter Spending Accounts
Fertility & Family Forming Benefits
On-demand mental health support and Employee Assistance Program
Global Travel Medical Insurance
Financial Benefits
Short and Long Term Disability Insurance
Life & Accident Insurance
401(k) Retirement Savings Plan
Employee Stock Participation Plan
Time Off
Flexible paid time off covering vacation and sick leave
Leave programs, including parental, pregnancy health, medical, and bereavement leave
What Makes Cloudflare Special?
We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet.
Project Galileo
: Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost.
Athenian Project
: In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states.
1.1.1.1
: We released
1.1.1.1
to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our
privacy commitment
and ensure that no user data is sold to advertisers or used to target consumers.
Sound like something you’d like to be a part of? We’d love to hear from you!
Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs. More details about this will be available at that stage of the interview process.
This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license.
Cloudflare is proud to be an equal opportunity employer. We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness. All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual
race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law.
We are an AA/Veterans/Disabled Employer.
Cloudflare provides reasonable accommodations to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you require a reasonable accommodation to apply for a job, please contact us via e-mail at
hr@cloudflare.com
or via mail at 101 Townsend St. San Francisco, CA 94107.
Location: Warsaw, PL
We bring startups and disruptive tech companies to the local market, offering engineers the opportunity to work on innovative, high-impact products. Join us and become a member of their R&D team while we take care of employment, HR support, a benefits package, and an enjoyable work environment.
App Central
creates and grows mobile apps used by millions worldwide. Their apps are primarily monetized through in-app advertising.
We’re building the RnD team for
App Central
.
Every UA decision is judged on real ad revenue per user, not vanity installs.
We're looking for a
Senior UA Manager
to own and scale paid acquisition across our client’s mobile portfolio.
You'll manage significant daily budgets across Meta, TikTok, Mintegral, AppLovin, Unity and other networks, with one clear goal: profitable growth measured by ROAS.
This is a hands-on role with direct impact on company revenue and a short path from idea to live test.
Plan, launch and optimize mobile UA campaigns across Meta, TikTok, Mintegral, AppLovin, Unity and additional networks (Google App Campaigns, ironSource, Moloco, Liftoff, DSPs)
Own budgets and hit ROAS targets (D0/D3/D7) by managing tROAS bids, daily caps and budgets at campaign and country level
Scale winners and cut losers fast, based on trends and total profit, not single-day noise
Build and run a structured testing roadmap: new networks, geos, bidding strategies, audiences and creatives
Work closely with the Creative team on briefs, concepts and creative performance analysis
Partner with Data and Monetization teams to connect UA cost with ad revenue (eCPM, ARPDAU, LTV curves)
Analyze performance in SQL and BI dashboards, and spot issues before they cost money
Manage relationships with network account managers and push for betas, better terms and support
Report weekly to management on spend, ROAS, learnings and next steps
5+ years of hands-on mobile UA experience
Proven track record managing significant budgets on at least two of: Meta, TikTok, Mintegral, AppLovin, Unity
Deep understanding of ROAS-based bidding (tROAS, AEO/VO, CPI/CPE) and cohort-based KPIs
Strong analytical skills: comfortable with Excel/Sheets, BI tools, and MMP data (AppsFlyer, Adjust or similar)
Ownership mindset: you treat the budget like your own money
English from Upper-Intermediate (B2)
Experience in mobile gaming or adtech companies
Experience growing apps monetized mainly through in-app ads (IAA) or hybrid models, not only IAP
Understanding of ad monetization: mediation, eCPM, ARPDAU and how they drive LTV and ROAS
Hands-on experience with AppLovin and Mintegral at scale
SQL skills (Snowflake, BigQuery or similar)
Experience launching new networks and geos from zero
Experience with creative testing frameworks and working with creative teams
At On The Spot, we’re creating a workplace people would want to stay in:
supportive, well-organized, and fair in terms of conditions and benefits.
We’ll share more about our benefit package during the interviews. In the meantime, you can always check our
Glassdoor reviews
.
Prague; With 1,000+ employees collaborating across nearly every time zone, we support talent through 10 global hubs — Australia, Costa Rica, Cyprus, Czechia, Estonia, France, India, Ireland, Japan, and the United States — offering flexible ways of working that include remote work, hybrid environments, and co-working spaces across many locations
Не хотите искать каждый день?
Настройте подбор один раз, и подходящие вакансии будут сами приходить в Telegram.
Настройте подбор, и подходящие вакансии будут приходить в Telegram.
Nicosia; With 1,000+ employees collaborating across nearly every time zone, we support talent through 10 global hubs — Australia, Costa Rica, Cyprus, Czechia, Estonia, France, India, Ireland, Japan, and the United States — offering flexible ways of working that include remote work, hybrid environments, and co-working spaces across many locations
ГибридSan Francisco Bay Area, USA; Team members are expected to work from our San Francisco office three full days per week, with the remaining days worked remotely and are expected to be available during agreed working hours and to maintain sufficient overlap with the relevant team’s time zone
УдалённоМожно работать из любой страны
USA - New York
УдалённоseniorRemote, California, United States, AMER