Location: New York City, New York
What you’ll be part of
Garner is on a mission to transform the U.S. healthcare system — and we’re the only proven player doing exactly that. We partner with employers to redesign how healthcare works: applying 550+ proprietary clinical metrics across 80+ specialties to a dataset of 320M+ patients to identify the best-performing doctors, then using compelling incentives to steer members to the care that helps them get healthier, faster.
The result is a rare “win win” — better care and lower costs for both members and employers. In just five years, our work has helped over 2.5 million people access higher-quality care and saved $1B in healthcare costs. We recently raised our Series E and have doubled five years running. If you've ever wanted your work to solve a problem that touches every person in this country, this is the opportunity to do exactly that. You'd be joining a team fundamentally reimagining healthcare in the U.S. — and using AI to scale that impact further and faster than anyone else can.
About the role:
We are seeking an exceptional AI-Native Data Analyst to join Garner and drive how data shapes business decisions at scale. You'll be the person the business trusts to turn fuzzy questions into the metrics, dashboards, and deep-dive analyses that decisions actually get made on — owning that work end-to-end.
Where you will work:
This role will be based in our New York City office (in the Financial District). You must be willing to work in the office 3 days per week on Tuesday, Wednesday and Thursday.
What you will do:
Own KPIs and dashboards end-to-end.
Build, maintain, and govern key KPIs and dashboards across business domains, managing the full lifecycle of analytics projects from scoping to delivery.
Be a thought partner on measurement.
Partner with stakeholders to define how success is measured across Garner's products and operations.
Build scalable data pipelines.
Collaborate with the data engineering team to create maintainable pipelines that power reliable reporting.
Develop deep domain expertise.
Build a strong understanding of your analytical domain so you can independently drive meaningful insights.
Close reporting gaps.
Identify where coverage is missing and proactively develop new dashboards and insights to fill them.
Raise the bar on data practices.
Advocate for best practices in visualization, documentation, metric consistency, and stakeholder communication across teams.
Answer high-stakes, ambiguous questions.
Run deep-dive investigations into complex business problems — the kind of analysis leadership uses to make strategic calls.
The ideal candidate has:
5+ years
of experience
in Data Analytics, Business Intelligence, or a similar data-centric role.
Cross-functional translation.
Ability to translate ambiguous business questions into data-driven solutions and to work effectively with non-technical stakeholders.
Autonomy and ownership.
Comfortable working independently and owning reporting projects end-to-end.
Automation mindset.
Attention to detail with a bias toward automation and scalability over one-off work.
AI Nativity.
Comfort with and excitement about building analytics, building dashboards, and validating results by harnessing the power of AI agents.
Making data accessible
. A track record of getting stakeholders trustworthy, self-serve access to the information they need. Experience with a BI/visualization tool (Looker, Tableau, Power BI, or similar) helps — but the outcome matters more than the specific tool.
Modern data stack.
Hands-on with Snowflake (or a comparable cloud warehouse) and SQL at scale; experience with dbt strongly preferred — you'll partner with Data Management in governed pipelines, not just consume their outputs.
A desire to be part of a high-performing, mission-driven team that operates with intense urgency, a strong sense of individual accountability, and a commitment to authentic feedback.
This is a unique opportunity to join a fast-growing company in a transformative role, helping shape the future of healthcare.
What you’ll get here:
You’ll work on problems that matter, at a company working to change healthcare at scale. You’ll work at the intersection of AI and systemic healthcare reform, where the problems we solve are as interesting and compelling as the mission.
At Garner, you’ll take on real, ambitious problems with real ownership and autonomy, alongside exceptional, principles-based people who genuinely want you to win. It’s demanding by design. You’ll be challenged to stretch beyond what you thought possible and receive consistent coaching to help you grow and do the best work of your career. This isn't the right fit for everyone, and that's intentional. The people here are driven by what's at stake for real people, and that's what gives our intensity its purpose.
Compensation Transparency:
The target salary range for this position is $167,000 - $210,000. Individual compensation for this role will depend on various factors, including qualifications, skills, and applicable laws. In addition to base compensation, this role is eligible to participate in our equity incentive and competitive benefits plans, including but not limited to: flexible PTO, Medical/Dental/Vision plan options, 401(k), Teladoc Health and more.
Fraud and Security Notice:
Please be aware of recent job scam attempts. Our recruiters use
getgarner.com
and
garnerhealth.com
email domains exclusively. If you have been contacted by someone claiming to be a Garner recruiter or a hiring manager from a different domain about a potential job, please report it to law enforcement
here
and to
candidateprotection@garnerhealth.com
.
Equal Employment Opportunity:
Garner Health is proud to be an Equal Employment Opportunity employer and values diversity in the workplace. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics.
Garner Health is committed to providing accommodations for qualified individuals with disabilities in our recruiting process. If you need assistance or an accommodation due to a disability, you may contact us at
talent@garnerhealth.com
.
Location: New York City, New York
What you’ll be part of
Garner is on a mission to transform the U.S. healthcare system — and we’re the only proven player doing exactly that. We partner with employers to redesign how healthcare works: applying 550+ proprietary clinical metrics across 80+ specialties to a dataset of 320M+ patients to identify the best-performing doctors, then using compelling incentives to steer members to the care that helps them get healthier, faster.
The result is a rare “win win” — better care and lower costs for both members and employers. In just five years, our work has helped over 2.5 million people access higher-quality care and saved $1B in healthcare costs. We recently raised our Series E and have doubled five years running. If you've ever wanted your work to solve a problem that touches every person in this country, this is the opportunity to do exactly that. You'd be joining a team fundamentally reimagining healthcare in the U.S. — and using AI to scale that impact further and faster than anyone else can.
About the role:
We are seeking an exceptional AI-Native Data Analyst to join Garner and drive how data shapes business decisions at scale. You'll be the person the business trusts to turn fuzzy questions into the metrics, dashboards, and deep-dive analyses that decisions actually get made on — owning that work end-to-end.
Where you will work:
This role will be based in our New York City office (in the Financial District). You must be willing to work in the office 3 days per week on Tuesday, Wednesday and Thursday.
What you will do:
Own KPIs and dashboards end-to-end.
Build, maintain, and govern key KPIs and dashboards across business domains, managing the full lifecycle of analytics projects from scoping to delivery.
Be a thought partner on measurement.
Partner with stakeholders to define how success is measured across Garner's products and operations.
Build scalable data pipelines.
Collaborate with the data engineering team to create maintainable pipelines that power reliable reporting.
Develop deep domain expertise.
Build a strong understanding of your analytical domain so you can independently drive meaningful insights.
Close reporting gaps.
Identify where coverage is missing and proactively develop new dashboards and insights to fill them.
Raise the bar on data practices.
Advocate for best practices in visualization, documentation, metric consistency, and stakeholder communication across teams.
Answer high-stakes, ambiguous questions.
Run deep-dive investigations into complex business problems — the kind of analysis leadership uses to make strategic calls.
The ideal candidate has:
3+ years
of experience
in Data Analytics, Business Intelligence, or a similar data-centric role.
Cross-functional translation.
Ability to translate ambiguous business questions into data-driven solutions and to work effectively with non-technical stakeholders.
Autonomy and ownership.
Comfortable working independently and owning reporting projects end-to-end.
Automation mindset.
Attention to detail with a bias toward automation and scalability over one-off work.
AI Nativity.
Comfort with and excitement about building analytics, building dashboards, and validating results by harnessing the power of AI agents.
Making data accessible
. A track record of getting stakeholders trustworthy, self-serve access to the information they need. Experience with a BI/visualization tool (Looker, Tableau, Power BI, or similar) helps — but the outcome matters more than the specific tool.
Modern data stack.
Hands-on with Snowflake (or a comparable cloud warehouse) and SQL at scale; experience with dbt strongly preferred — you'll partner with Data Management in governed pipelines, not just consume their outputs.
A desire to be part of a high-performing, mission-driven team that operates with intense urgency, a strong sense of individual accountability, and a commitment to authentic feedback.
This is a unique opportunity to join a fast-growing company in a transformative role, helping shape the future of healthcare.
Please note: we are unable to sponsor or take over sponsorship of an employment visa at this time.
What you'll get here:
You’ll work on problems that matter, at a company working to change healthcare at scale. You’ll work at the intersection of AI and systemic healthcare reform, where the problems we solve are as interesting and compelling as the mission.
At Garner, you’ll take on real, ambitious problems with real ownership and autonomy, alongside exceptional, principles-based people who genuinely want you to win. It’s demanding by design. You’ll be challenged to stretch beyond what you thought possible and receive consistent coaching to help you grow and do the best work of your career. This isn't the right fit for everyone, and that's intentional. The people here are driven by what's at stake for real people, and that's what gives our intensity its purpose.
Compensation Transparency:
The target salary range for this position is $131,000 - $140,000. Individual compensation for this role will depend on various factors, including qualifications, skills, and applicable laws. In addition to base compensation, this role is eligible to participate in our equity incentive and competitive benefits plans, including but not limited to: flexible PTO, Medical/Dental/Vision plan options, 401(k), Teladoc Health and more.
Fraud and Security Notice:
Please be aware of recent job scam attempts. Our recruiters use
getgarner.com
and
garnerhealth.com
email domains exclusively. If you have been contacted by someone claiming to be a Garner recruiter or a hiring manager from a different domain about a potential job, please report it to law enforcement
here
and to
candidateprotection@garnerhealth.com
.
Equal Employment Opportunity:
Garner Health is proud to be an Equal Employment Opportunity employer and values diversity in the workplace. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics.
Garner Health is committed to providing accommodations for qualified individuals with disabilities in our recruiting process. If you need assistance or an accommodation due to a disability, you may contact us at
talent@garnerhealth.com
.
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 and dbt are building the open data infrastructure that powers AI agents you can trust.
Fivetran is looking for a Staff R&D Software Engineer to join our fast-growing Fivetran AI team. Your data stack was built for humans — but agents are the new primary data consumers, and they have fundamentally different requirements. Agents can’t intuit context; it must be explicitly codified, governed, and traceable. We’re building the governed context layer that solves this problem: Agents Schema, an open standard for storing agent-ready context directly in the customer’s own data warehouse, and Context Builder, the managed service that keeps it filled and fresh.
This role goes well beyond standard engineering. You’ll research emerging techniques in the fast-moving AI landscape and bring real product and market understanding to decide which ideas are worth pursuing — and then you’ll take what you’ve learned and ship it as production software. We’re looking for a true generalist who is willing and able to wear whatever hat the moment calls for: prototyping a new retrieval technique one week, hardening a backend service the next, then doing SRE or QA work when the team needs it. At this level, you’re expected to be a trusted expert beyond your own team — defining technical direction that other teams build on, taking high-level direction and turning it into concrete plans with a high degree of independence, and using sound judgment to decide what deserves your attention. Fivetran AI operates like a startup within Fivetran, and we need engineers who thrive on that range and ambiguity rather than staying in one lane.
Fivetran is the epitome of data-driven development — our engineering team is focused on building a world class product that:
Builds Infrastructure Agents Can Trust
— join our mission to deliver the governed context layer that AI agents depend on: accurate semantic definitions, traceable lineage, data contracts, and auditable history baked in from the start.
Embraces Open Standards
— help build portable, interoperable data infrastructure: Agents Schema, open formats (Iceberg, Delta Lake), MCP-native interfaces, and connector skills that work with any model and any compute.
Scales Without Breaking
— work to make Fivetran AI efficient at agent scale, where unit costs deflate as volume grows and context retrieval is fast, accurate, and cost-controlled.
We emphasize using no-nonsense tools and take great pride in the simplicity and effectiveness of the systems we build. Our back-end is built on Java, Python, Postgres, and Kubernetes, and our front-end is built on React and TypeScript.
This is a full-time hybrid position based out of our New York, NY office. Our hybrid work model offers a blend of remote flexibility and in-person collaboration, including two days in the office each week to connect and build as a team.
Technologies You’ll Use
Python, Java, SQL, dbt, LLMs (Claude, ChatGPT, Gemini), vector databases, BigQuery / Snowflake / Databricks, MCP protocol, React, TypeScript, Kubernetes
What You’ll Do
Research emerging techniques in retrieval, reasoning, and agentic AI, and decide what’s actually worth pursuing for Fivetran AI’s roadmap — then convince others
Prototype new ideas quickly, then take the ones that prove out and turn them into shipped, production-grade features
Define technical direction that spans multiple teams within Fivetran AI, ensuring architecture decisions made in one area don’t create problems in another
Build and maintain both back-end and front-end systems for the Fivetran AI product — from Agents Schema pipelines to the Context Catalog UI
Drive the AISQL capability forward: natural language to SQL grounded in dbt metric definitions, executed natively against the warehouse
Take ownership of production reliability across the platform: on-call rotation, incident response, and SRE work to keep the system trustworthy at scale
Set the bar for testing and QA practices, and do hands-on QA work yourself when it matters most
Use coding agents to automate the repetitive parts of the job, freeing up time for the research and design work that needs a human
Take high-level direction from product and leadership and independently define and execute the concrete plan to get there
Mentor other engineers and raise the technical bar across the Fivetran AI team
Contribute to hiring by participating in and helping shape the interview process
Skills We’re Looking For
8+ years of programming experience across Python and/or Java, with the ability to move fluidly between back-end and front-end work
Considered a trusted expert beyond your own team, able to exert influence and define technical direction across multiple teams
Comfortable reading AI/ML research and turning promising findings into working prototypes, then production systems
Strong product and market awareness — able to judge which emerging techniques are worth building versus which are hype
Track record of taking ambiguous, high-level direction and independently defining and executing the concrete work to deliver it
Experience with SQL and data warehouses (BigQuery, Snowflake, Databricks, or similar)
Genuine willingness to work across the full stack: research, backend, frontend, SRE, and QA, as the team’s needs demand
Writes well-structured, performant code and can dive into unfamiliar codebases to suggest improvements
Experience using coding agents or similar AI tooling to speed up day-to-day engineering work
Demonstrated ability to mentor other engineers and influence technical decisions beyond your immediate team
Thrives in a startup-like environment with shifting priorities and a high degree of ownership
Bonus Skills
Experience with LLM-powered applications — RAG pipelines, embeddings, evaluation frameworks, or agent frameworks
Familiarity with semantic layers — dbt, LookML, Sigma, or similar
Experience with the MCP (Model Context Protocol) ecosystem or building AI agent integrations
Background in site reliability engineering — monitoring, alerting, incident response
Experience in data processing (ETL, ELT) and/or building data connectors
Experienced working in a cloud environment utilizing AWS, GCP, Kubernetes, or Docker
Contributions to open source AI or data projects
#LI-HYBRID #LI-AM1
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
$196,033
—
$245,041.50 USD
Perks and Benefits
100% employer-paid medical insurance
*
Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off.
RSU stock grants*
Professional development and training opportunities
Company virtual happy hours, free food, and fun team-building activities
Monthly cell phone stipend
Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents.
*
May vary by country and worker type - please reach out to your recruiter for more information
Click
here
to learn more about Fivetran's Benefits by Region.
We’re honored to be
valued at over $5.6 billion
, but more importantly, we’re proud of our
core values of Get Stuck In, Do the Right Thing, and One Team, One Dream
. Read about us in
Forbes
.
Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities.
To learn more about Fivetran’s culture and what it’s like to be part of the team,
click here
and enjoy our video.
To learn more about our candidate privacy policy, you can
read our statement here
.
We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this
form
. We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.
Location: Denver, Colorado, United States, AMER
From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven.
About Us
Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites.
About the Role
Fivetran and dbt are building the open data infrastructure that powers AI agents you can trust.
Fivetran is looking for a Staff R&D Software Engineer to join our fast-growing Fivetran AI team. Your data stack was built for humans — but agents are the new primary data consumers, and they have fundamentally different requirements. Agents can’t intuit context; it must be explicitly codified, governed, and traceable. We’re building the governed context layer that solves this problem: Agents Schema, an open standard for storing agent-ready context directly in the customer’s own data warehouse, and Context Builder, the managed service that keeps it filled and fresh.
This role goes well beyond standard engineering. You’ll research emerging techniques in the fast-moving AI landscape and bring real product and market understanding to decide which ideas are worth pursuing — and then you’ll take what you’ve learned and ship it as production software. We’re looking for a true generalist who is willing and able to wear whatever hat the moment calls for: prototyping a new retrieval technique one week, hardening a backend service the next, then doing SRE or QA work when the team needs it. At this level, you’re expected to be a trusted expert beyond your own team — defining technical direction that other teams build on, taking high-level direction and turning it into concrete plans with a high degree of independence, and using sound judgment to decide what deserves your attention. Fivetran AI operates like a startup within Fivetran, and we need engineers who thrive on that range and ambiguity rather than staying in one lane.
Fivetran is the epitome of data-driven development — our engineering team is focused on building a world class product that:
Builds Infrastructure Agents Can Trust
— join our mission to deliver the governed context layer that AI agents depend on: accurate semantic definitions, traceable lineage, data contracts, and auditable history baked in from the start.
Embraces Open Standards
— help build portable, interoperable data infrastructure: Agents Schema, open formats (Iceberg, Delta Lake), MCP-native interfaces, and connector skills that work with any model and any compute.
Scales Without Breaking
— work to make Fivetran AI efficient at agent scale, where unit costs deflate as volume grows and context retrieval is fast, accurate, and cost-controlled.
We emphasize using no-nonsense tools and take great pride in the simplicity and effectiveness of the systems we build. Our back-end is built on Java, Python, Postgres, and Kubernetes, and our front-end is built on React and TypeScript.
This is a full-time hybrid position based out of our Denver, CO office. Our hybrid work model offers a blend of remote flexibility and in-person collaboration, including two days in the office each week to connect and build as a team.
Technologies You’ll Use
Python, Java, SQL, dbt, LLMs (Claude, ChatGPT, Gemini), vector databases, BigQuery / Snowflake / Databricks, MCP protocol, React, TypeScript, Kubernetes
What You’ll Do
Research emerging techniques in retrieval, reasoning, and agentic AI, and decide what’s actually worth pursuing for Fivetran AI’s roadmap — then convince others
Prototype new ideas quickly, then take the ones that prove out and turn them into shipped, production-grade features
Define technical direction that spans multiple teams within Fivetran AI, ensuring architecture decisions made in one area don’t create problems in another
Build and maintain both back-end and front-end systems for the Fivetran AI product — from Agents Schema pipelines to the Context Catalog UI
Drive the AISQL capability forward: natural language to SQL grounded in dbt metric definitions, executed natively against the warehouse
Take ownership of production reliability across the platform: on-call rotation, incident response, and SRE work to keep the system trustworthy at scale
Set the bar for testing and QA practices, and do hands-on QA work yourself when it matters most
Use coding agents to automate the repetitive parts of the job, freeing up time for the research and design work that needs a human
Take high-level direction from product and leadership and independently define and execute the concrete plan to get there
Mentor other engineers and raise the technical bar across the Fivetran AI team
Contribute to hiring by participating in and helping shape the interview process
Skills We’re Looking For
8+ years of programming experience across Python and/or Java, with the ability to move fluidly between back-end and front-end work
Considered a trusted expert beyond your own team, able to exert influence and define technical direction across multiple teams
Comfortable reading AI/ML research and turning promising findings into working prototypes, then production systems
Strong product and market awareness — able to judge which emerging techniques are worth building versus which are hype
Track record of taking ambiguous, high-level direction and independently defining and executing the concrete work to deliver it
Experience with SQL and data warehouses (BigQuery, Snowflake, Databricks, or similar)
Genuine willingness to work across the full stack: research, backend, frontend, SRE, and QA, as the team’s needs demand
Writes well-structured, performant code and can dive into unfamiliar codebases to suggest improvements
Experience using coding agents or similar AI tooling to speed up day-to-day engineering work
Demonstrated ability to mentor other engineers and influence technical decisions beyond your immediate team
Thrives in a startup-like environment with shifting priorities and a high degree of ownership
Bonus Skills
Experience with LLM-powered applications — RAG pipelines, embeddings, evaluation frameworks, or agent frameworks
Familiarity with semantic layers — dbt, LookML, Sigma, or similar
Experience with the MCP (Model Context Protocol) ecosystem or building AI agent integrations
Background in site reliability engineering — monitoring, alerting, incident response
Experience in data processing (ETL, ELT) and/or building data connectors
Experienced working in a cloud environment utilizing AWS, GCP, Kubernetes, or Docker
Contributions to open source AI or data projects
#LI-HYBRID #LI-AM1
The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role. Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process.
Denver Pay Range
$183,711
—
$229,638.75 USD
Perks and Benefits
100% employer-paid medical insurance
*
Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off.
RSU stock grants*
Professional development and training opportunities
Company virtual happy hours, free food, and fun team-building activities
Monthly cell phone stipend
Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents.
*
May vary by country and worker type - please reach out to your recruiter for more information
Click
here
to learn more about Fivetran's Benefits by Region.
We’re honored to be
valued at over $5.6 billion
, but more importantly, we’re proud of our
core values of Get Stuck In, Do the Right Thing, and One Team, One Dream
. Read about us in
Forbes
.
Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities.
To learn more about Fivetran’s culture and what it’s like to be part of the team,
click here
and enjoy our video.
To learn more about our candidate privacy policy, you can
read our statement here
.
We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this
form
. We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.
Location: USA - Austin (dbt)
From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven.
About Us
Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites.
About the Role
Fivetran and dbt are building the open data infrastructure that powers AI agents you can trust.
Fivetran is looking for a Staff R&D Software Engineer to join our fast-growing Fivetran AI team. Your data stack was built for humans — but agents are the new primary data consumers, and they have fundamentally different requirements. Agents can’t intuit context; it must be explicitly codified, governed, and traceable. We’re building the governed context layer that solves this problem: Agents Schema, an open standard for storing agent-ready context directly in the customer’s own data warehouse, and Context Builder, the managed service that keeps it filled and fresh.
This role goes well beyond standard engineering. You’ll research emerging techniques in the fast-moving AI landscape and bring real product and market understanding to decide which ideas are worth pursuing — and then you’ll take what you’ve learned and ship it as production software. We’re looking for a true generalist who is willing and able to wear whatever hat the moment calls for: prototyping a new retrieval technique one week, hardening a backend service the next, then doing SRE or QA work when the team needs it. At this level, you’re expected to be a trusted expert beyond your own team — defining technical direction that other teams build on, taking high-level direction and turning it into concrete plans with a high degree of independence, and using sound judgment to decide what deserves your attention. Fivetran AI operates like a startup within Fivetran, and we need engineers who thrive on that range and ambiguity rather than staying in one lane.
Fivetran is the epitome of data-driven development — our engineering team is focused on building a world class product that:
Builds Infrastructure Agents Can Trust
— join our mission to deliver the governed context layer that AI agents depend on: accurate semantic definitions, traceable lineage, data contracts, and auditable history baked in from the start.
Embraces Open Standards
— help build portable, interoperable data infrastructure: Agents Schema, open formats (Iceberg, Delta Lake), MCP-native interfaces, and connector skills that work with any model and any compute.
Scales Without Breaking
— work to make Fivetran AI efficient at agent scale, where unit costs deflate as volume grows and context retrieval is fast, accurate, and cost-controlled.
We emphasize using no-nonsense tools and take great pride in the simplicity and effectiveness of the systems we build. Our back-end is built on Java, Python, Postgres, and Kubernetes, and our front-end is built on React and TypeScript.
This is a full-time hybrid position based out of our Austin, TX office. Our hybrid work model offers a blend of remote flexibility and in-person collaboration, including two days in the office each week to connect and build as a team.
Technologies You’ll Use
Python, Java, SQL, dbt, LLMs (Claude, ChatGPT, Gemini), vector databases, BigQuery / Snowflake / Databricks, MCP protocol, React, TypeScript, Kubernetes
What You’ll Do
Research emerging techniques in retrieval, reasoning, and agentic AI, and decide what’s actually worth pursuing for Fivetran AI’s roadmap — then convince others
Prototype new ideas quickly, then take the ones that prove out and turn them into shipped, production-grade features
Define technical direction that spans multiple teams within Fivetran AI, ensuring architecture decisions made in one area don’t create problems in another
Build and maintain both back-end and front-end systems for the Fivetran AI product — from Agents Schema pipelines to the Context Catalog UI
Drive the AISQL capability forward: natural language to SQL grounded in dbt metric definitions, executed natively against the warehouse
Take ownership of production reliability across the platform: on-call rotation, incident response, and SRE work to keep the system trustworthy at scale
Set the bar for testing and QA practices, and do hands-on QA work yourself when it matters most
Use coding agents to automate the repetitive parts of the job, freeing up time for the research and design work that needs a human
Take high-level direction from product and leadership and independently define and execute the concrete plan to get there
Mentor other engineers and raise the technical bar across the Fivetran AI team
Contribute to hiring by participating in and helping shape the interview process
Skills We’re Looking For
8+ years of programming experience across Python and/or Java, with the ability to move fluidly between back-end and front-end work
Considered a trusted expert beyond your own team, able to exert influence and define technical direction across multiple teams
Comfortable reading AI/ML research and turning promising findings into working prototypes, then production systems
Strong product and market awareness — able to judge which emerging techniques are worth building versus which are hype
Track record of taking ambiguous, high-level direction and independently defining and executing the concrete work to deliver it
Experience with SQL and data warehouses (BigQuery, Snowflake, Databricks, or similar)
Genuine willingness to work across the full stack: research, backend, frontend, SRE, and QA, as the team’s needs demand
Writes well-structured, performant code and can dive into unfamiliar codebases to suggest improvements
Experience using coding agents or similar AI tooling to speed up day-to-day engineering work
Demonstrated ability to mentor other engineers and influence technical decisions beyond your immediate team
Thrives in a startup-like environment with shifting priorities and a high degree of ownership
Bonus Skills
Experience with LLM-powered applications — RAG pipelines, embeddings, evaluation frameworks, or agent frameworks
Familiarity with semantic layers — dbt, LookML, Sigma, or similar
Experience with the MCP (Model Context Protocol) ecosystem or building AI agent integrations
Background in site reliability engineering — monitoring, alerting, incident response
Experience in data processing (ETL, ELT) and/or building data connectors
Experienced working in a cloud environment utilizing AWS, GCP, Kubernetes, or Docker
Contributions to open source AI or data projects
#LI-HYBRID #LI-AM1
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
$183,711
—
$229,638.75 USD
Perks and Benefits
100% employer-paid medical insurance
*
Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off.
RSU stock grants*
Professional development and training opportunities
Company virtual happy hours, free food, and fun team-building activities
Monthly cell phone stipend
Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents.
*
May vary by country and worker type - please reach out to your recruiter for more information
Click
here
to learn more about Fivetran's Benefits by Region.
We’re honored to be
valued at over $5.6 billion
, but more importantly, we’re proud of our
core values of Get Stuck In, Do the Right Thing, and One Team, One Dream
. Read about us in
Forbes
.
Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities.
To learn more about Fivetran’s culture and what it’s like to be part of the team,
click here
and enjoy our video.
To learn more about our candidate privacy policy, you can
read our statement here
.
We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this
form
. We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.
Location: Oakland, California, United States, AMER
From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven.
About Us
Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites.
About the Role
Fivetran and dbt are building the open data infrastructure that powers AI agents you can trust.
Fivetran is looking for a Staff R&D Software Engineer to join our fast-growing Fivetran AI team. Your data stack was built for humans — but agents are the new primary data consumers, and they have fundamentally different requirements. Agents can’t intuit context; it must be explicitly codified, governed, and traceable. We’re building the governed context layer that solves this problem: Agents Schema, an open standard for storing agent-ready context directly in the customer’s own data warehouse, and Context Builder, the managed service that keeps it filled and fresh.
This role goes well beyond standard engineering. You’ll research emerging techniques in the fast-moving AI landscape and bring real product and market understanding to decide which ideas are worth pursuing — and then you’ll take what you’ve learned and ship it as production software. We’re looking for a true generalist who is willing and able to wear whatever hat the moment calls for: prototyping a new retrieval technique one week, hardening a backend service the next, then doing SRE or QA work when the team needs it. At this level, you’re expected to be a trusted expert beyond your own team — defining technical direction that other teams build on, taking high-level direction and turning it into concrete plans with a high degree of independence, and using sound judgment to decide what deserves your attention. Fivetran AI operates like a startup within Fivetran, and we need engineers who thrive on that range and ambiguity rather than staying in one lane.
Fivetran is the epitome of data-driven development — our engineering team is focused on building a world class product that:
Builds Infrastructure Agents Can Trust
— join our mission to deliver the governed context layer that AI agents depend on: accurate semantic definitions, traceable lineage, data contracts, and auditable history baked in from the start.
Embraces Open Standards
— help build portable, interoperable data infrastructure: Agents Schema, open formats (Iceberg, Delta Lake), MCP-native interfaces, and connector skills that work with any model and any compute.
Scales Without Breaking
— work to make Fivetran AI efficient at agent scale, where unit costs deflate as volume grows and context retrieval is fast, accurate, and cost-controlled.
We emphasize using no-nonsense tools and take great pride in the simplicity and effectiveness of the systems we build. Our back-end is built on Java, Python, Postgres, and Kubernetes, and our front-end is built on React and TypeScript.
This is a full-time hybrid position based out of our Oakland, CA office. Our hybrid work model offers a blend of remote flexibility and in-person collaboration, including two days in the office each week to connect and build as a team.
Technologies You’ll Use
Python, Java, SQL, dbt, LLMs (Claude, ChatGPT, Gemini), vector databases, BigQuery / Snowflake / Databricks, MCP protocol, React, TypeScript, Kubernetes
What You’ll Do
Research emerging techniques in retrieval, reasoning, and agentic AI, and decide what’s actually worth pursuing for Fivetran AI’s roadmap — then convince others
Prototype new ideas quickly, then take the ones that prove out and turn them into shipped, production-grade features
Define technical direction that spans multiple teams within Fivetran AI, ensuring architecture decisions made in one area don’t create problems in another
Build and maintain both back-end and front-end systems for the Fivetran AI product — from Agents Schema pipelines to the Context Catalog UI
Drive the AISQL capability forward: natural language to SQL grounded in dbt metric definitions, executed natively against the warehouse
Take ownership of production reliability across the platform: on-call rotation, incident response, and SRE work to keep the system trustworthy at scale
Set the bar for testing and QA practices, and do hands-on QA work yourself when it matters most
Use coding agents to automate the repetitive parts of the job, freeing up time for the research and design work that needs a human
Take high-level direction from product and leadership and independently define and execute the concrete plan to get there
Mentor other engineers and raise the technical bar across the Fivetran AI team
Contribute to hiring by participating in and helping shape the interview process
Skills We’re Looking For
8+ years of programming experience across Python and/or Java, with the ability to move fluidly between back-end and front-end work
Considered a trusted expert beyond your own team, able to exert influence and define technical direction across multiple teams
Comfortable reading AI/ML research and turning promising findings into working prototypes, then production systems
Strong product and market awareness — able to judge which emerging techniques are worth building versus which are hype
Track record of taking ambiguous, high-level direction and independently defining and executing the concrete work to deliver it
Experience with SQL and data warehouses (BigQuery, Snowflake, Databricks, or similar)
Genuine willingness to work across the full stack: research, backend, frontend, SRE, and QA, as the team’s needs demand
Writes well-structured, performant code and can dive into unfamiliar codebases to suggest improvements
Experience using coding agents or similar AI tooling to speed up day-to-day engineering work
Demonstrated ability to mentor other engineers and influence technical decisions beyond your immediate team
Thrives in a startup-like environment with shifting priorities and a high degree of ownership
Bonus Skills
Experience with LLM-powered applications — RAG pipelines, embeddings, evaluation frameworks, or agent frameworks
Familiarity with semantic layers — dbt, LookML, Sigma, or similar
Experience with the MCP (Model Context Protocol) ecosystem or building AI agent integrations
Background in site reliability engineering — monitoring, alerting, incident response
Experience in data processing (ETL, ELT) and/or building data connectors
Experienced working in a cloud environment utilizing AWS, GCP, Kubernetes, or Docker
Contributions to open source AI or data projects
#LI-HYBRID #LI-AM1
The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role. Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process.
Oakland Pay Range
$196,033
—
$245,041.50 USD
Perks and Benefits
100% employer-paid medical insurance
*
Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off.
RSU stock grants*
Professional development and training opportunities
Company virtual happy hours, free food, and fun team-building activities
Monthly cell phone stipend
Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents.
*
May vary by country and worker type - please reach out to your recruiter for more information
Click
here
to learn more about Fivetran's Benefits by Region.
We’re honored to be
valued at over $5.6 billion
, but more importantly, we’re proud of our
core values of Get Stuck In, Do the Right Thing, and One Team, One Dream
. Read about us in
Forbes
.
Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities.
To learn more about Fivetran’s culture and what it’s like to be part of the team,
click here
and enjoy our video.
To learn more about our candidate privacy policy, you can
read our statement here
.
We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this
form
. We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.
Location: Ciudad de México, Mexico; Moscow, Russia
Workplace: remote
At
NOVACARD
, we’re redefining how people use credit. We are the
first interest-free and no-annual-fee credit card in Mexico
, designed to simplify personal finances and give users complete control - all from a mobile app. With NOVACARD, users can access up to
$200,000 MXN in credit
, only pay when they use it, and manage everything digitally in under 5 minutes. Our mission is to empower people to make smarter financial decisions by offering flexibility, transparency, and the freedom they need to reach their goals. Simple finances, big goals.
About the Role:
We are looking for a Senior Campaign Manager to take ownership of campaign planning and coordination across our near-prime client portfolio. You will define the campaign structure and schedule, coordinate cross-functional teams to automate and launch campaigns on time, and ensure seamless execution from brief to analysis. This role requires a systematic thinker who can build scalable campaign processes and deliver results in a fast-paced lending environment. The role is based in Mexico, with remote flexibility and business trips when required.
Key Responsibilities:
Define the structure, prioritization, and schedule of portfolio campaigns targeting activation, balance building, retention, and cross-sell among Near Prime customers.
Own the full campaign cycle — from briefing and task setting to launch coordination, delivery monitoring, and post-campaign analysis.
Collaborate with development and CRM teams to automate recurring campaigns, reducing manual effort and increasing speed to market.
Work closely with marketing, analytics, IT, and product teams to align on timelines, resources, and priorities for all campaign initiatives.
Verify campaign setup accuracy, audience segmentation logic, and communication scenarios before launch to ensure flawless customer experiences.
Monitor campaign results against KPIs, prepare regular performance reports, and deliver actionable recommendations for optimization.
Establish standards, playbooks, and best practices to continuously improve the speed, quality, and impact of portfolio campaigns.
Key Requirements:
Proven experience managing marketing or CRM campaigns at a Senior level in fintech, banking, or consumer lending — mandatory.
Solid understanding of CRM principles, customer segmentation, and communication automation (e.g., triggered journeys, dynamic content).
Upper-intermediate English or higher (both spoken and written) — required for communication with international teams and HQ.
Strong organizational, analytical, and project management skills, with the ability to run multiple campaigns concurrently and maintain meticulous attention to detail.
Proactive mindset, end-to-end ownership of results, and ability to effectively coordinate cross-functional teams.
Advanced soft skills: clear communication, stakeholder management, and a collaborative approach to problem-solving.
What We Offer
Remote or hybrid work format, with business trips as required.
Official employment under local labor law; contractor arrangements available for candidates from other countries.
The opportunity to drive portfolio engagement strategy for a growing Near Prime segment in Mexico.
A data-driven environment where campaigns are core to customer lifecycle management and business growth.
Cross-functional exposure to marketing, product, analytics, and technology teams, with a direct impact on portfolio metrics.
Location: Ciudad de México, Mexico; Moscow, Russia
Workplace: remote
At
NOVACARD
, we’re redefining how people use credit. We are the
first interest-free and no-annual-fee credit card in Mexico
, designed to simplify personal finances and give users complete control - all from a mobile app. With NOVACARD, users can access up to
$200,000 MXN in credit
, only pay when they use it, and manage everything digitally in under 5 minutes. Our mission is to empower people to make smarter financial decisions by offering flexibility, transparency, and the freedom they need to reach their goals. Simple finances, big goals.
About the Role:
We are looking for a strong Product Leader to own the client experience in our mobile application. You will have full accountability for the app’s design quality, end-to-end customer journeys (CJM), and the usability of every touchpoint. This role requires someone who can think in metrics and interface details simultaneously, building the product around real customer needs. You will shape the strategy, lead design execution, and drive measurable improvements in activation, conversion, and engagement. The role is based in Mexico, with remote flexibility and business trips when required.
Key Responsibilities:
Mobile Experience Strategy:
Define and evolve the UX/UI strategy for the mobile app, prioritizing simplicity, speed, and intuitive navigation that aligns with the needs of Near Prime customers.
Customer Journey Design:
Architect and optimize end-to-end customer journeys within the app — from onboarding and first use to regular product interaction, limit management, and repeat transactions. Own the CJM across all touchpoints.
Product Metrics & User Behavior:
Analyze in-app user behavior (funnels, screen flows, usage scenarios). Track and improve conversion rates for key actions (activation, product application, repeat visits) and identify interface bottlenecks through data.
Design Process Leadership:
Partner closely with UX/UI designers. Set clear tasks, ensure high quality of mockups and prototypes, facilitate user testing, and maintain design consistency across all app features.
Ecosystem Integrations:
Design seamless interaction scenarios between the mobile app and other company products and services, ensuring a unified and effortless customer experience within the broader ecosystem.
Cross-Functional Collaboration:
Work in tight alignment with product teams, engineering, analytics, legal, and marketing to deliver a consistent and compliant user experience.
Continuous Improvement:
Build and maintain a backlog of UX/UI enhancements based on data insights, customer feedback, market benchmarking, and company strategic goals.
Key Requirements:
Significant experience in product management for mobile applications (fintech, e-commerce, or consumer services) at an Upper Senior level, with direct ownership of UX/UI outcomes.
Deep understanding of customer-centric design principles and the ability to balance user needs with business goals, risk constraints, and technical feasibility.
Upper-intermediate English or higher (both spoken and written) — required for communication with international teams and headquarters.
Strong analytical skills: ability to work with mobile analytics, funnels, heatmaps, and user session data to drive decisions.
Excellent taste in product design, attention to visual and interaction detail, and the ability to recognize what makes an interface truly user-friendly.
Out-of-the-box thinking, flexibility, and capacity to manage multiple initiatives in a fast-moving environment.
Advanced soft skills: clear communication, empathy, and the ability to inspire designers and engineers around a shared product vision.
What We Offer
Remote or hybrid work format, with business trips as required.
Official employment under local labor law; contractor arrangements available for candidates from other countries.
The chance to define the mobile experience for a strategically important Near Prime segment in Mexico, impacting thousands of customers daily.
A data-informed, design-driven culture that values experimentation, user feedback, and continuous improvement.
Close collaboration with local and international teams, with full ownership of the mobile product experience and its business outcomes.
Location: Americas; APAC; EMEA
Workplace: Remote
RevenueCat gives app businesses the infrastructure and tools to build, run, and improve their monetization. Since graduating from YC's S18 batch, we've grown into the default monetization platform for mobile.
We're in 50%+ of newly shipped subscription apps, we process $16B+ in annual purchase volume, and we help everyone from a solo developer to the OpenAI mobile team understand and grow their revenue.
We're a remote-first team of 150+ people across 25+ countries, guided by values we actually practice: Customer Obsession, Always Be Shipping, Own It, and Balance.
This isn't the right fit for everyone. The systems you’ll build here manage billions of dollars and touch hundreds of millions of end users, and we don’t take that lightly. You'll be expected to work hard and hold a high bar for what you ship, alongside some of the sharpest, most driven people you've worked with. If that sounds energizing rather than exhausting, keep reading.
ABOUT THE TEAM
You’ll join a cross‑functional group of app monetization subject matter experts who partner directly with RevenueCat customers and prospects. As part of the broader Customer Growth org, this team designs and implements high‑impact paywalls, onboarding flows, and purchase funnels using RevenueCat’s no‑code builders and experimentation tools, then feeds learnings back into our product, templates, and educational content
You’ll also collaborate closely with our content, marketing, and advocacy teams to turn real‑world project outcomes into templates, case studies, webinars, and best‑practice guides for the broader app community
ABOUT THE ROLE
As Senior CRO Designer, Paywalls & Funnels, you’ll be the person RevenueCat customers trust when the question is: “How do we get more users to convert and stay subscribed?”
You will:
- Design & build high‑converting paywalls and funnels
- Use RevenueCat’s paywall and experiment builders to design, configure, and ship paywalls, onboarding flows, upgrade paths, and win‑back experiences for mobile apps across categories
- Translate brands and product value props into clear, compelling paywall layouts, messaging, and pricing presentations
- Lead conversion optimization projects for customers and prospects
- Run structured discovery with customers and prospects to understand their business model, audience, and constraints
- Propose experiment plans (e.g., value prop framing, pricing presentation, trial vs. no‑trial, placement and timing of paywalls)
- Partner with apps to launch multivariate tests and interpret results, using RevenueCat’s analytics and experimentation tooling
- Codify patterns into reusable assets
- Distill what’s working across projects into reusable templates, checklists, and patterns that can be implemented directly in RevenueCat’s builders
- Work with Product to inform our paywall components, presets, and default templates
- Create educational content with Advocacy & Marketing
- Collaborate with Growth Advocacy and Content teams to turn your project learnings into:
- Example paywalls and funnel templates
- Blog posts, guides, and best‑practice documentation
- Webinars, live reviews, and conference talks or workshops
- Participate in public‑facing sessions (e.g., teardown streams, office hours) as a visible expert on monetization UX
- Champion monetization UX best practices
- Advise Sales, Customer Success, and Support on paywall and funnel best practices they can bring into customer conversations
- Provide feedback to Product & Engineering on how practitioners use our builders in the wild, highlighting opportunities for new features, components, and workflows
ABOUT YOU
You’re a conversion‑focused designer who lives at the intersection of mobile product design, growth, and experimentation. You have a track record of shipping real paywalls and funnels that move business metrics, not just portfolios
You have:
- Deep hands‑on experience with paywalls & funnels
- 5–8+ years designing consumer mobile experiences, with a substantial portion spent on subscription or purchase flows (e.g., paywalls, onboarding, upgrade/upsell, win‑back, account limits)
- Experience either:
- At a mobile app studio / product team owning monetization UX, or
- At an agency/consultancy repeatedly designing and optimizing paywalls and funnels for multiple apps
- Strong conversion & experimentation mindset
- Comfort defining hypotheses, success metrics, and test plans (e.g., CVR, trial start rate, activation, LTV)
- Experience using analytics and experimentation tools to interpret results and iterate quickly
- Ability to balance conversion gains with long‑term user trust and platform guidelines
- Mobile‑first product design skills
- Excellent interaction and visual design chops for small screens and high‑stakes surfaces (like paywalls and purchase flows)
- Strong UX writing instincts for concise, value‑focused copy and pricing messaging
- Proficiency in modern design tools (e.g. Figma) and comfort translating designs into no‑code builder configurations
- Customer‑facing communication skills
- Confidence leading workshops, design reviews, and strategy sessions with customers and prospects
- Ability to present options, pros/cons, and trade‑offs to both designers and non‑design stakeholders (founders, PMs, marketers)
- Great written communication for async collaboration in a remote team
- Values & ways of working
- You’re energized by our mission to help developers make more money
- You work iteratively and ship value quickly rather than waiting for perfection
- You have an ownership mentality: You see broken or unclear experiences and feel compelled to improve them
- You’re comfortable working in a fully remote, distributed team and collaborating across time zones
In your first month, you’ll:
- Learn RevenueCat’s products, especially paywalls, experiments, and analytics
- Join customer calls to understand our process and common challenges
- Audit a handful of existing customer paywalls and funnels and build your first recommendations
Within 3 months, you’ll:
- Own several customer projects end‑to‑end, from discovery through experiment analysis
- Ship multiple paywall and funnel variations using RevenueCat’s builders
- Partner with Advocacy/Content on at least one public asset (template, blog post, teardown, or webinar segment)
Within 6 months, you’ll:
- Be the go‑to expert internally for monetization UX, paywall patterns, and funnel optimization
- Maintain and evolve an internal “playbook” of best practices and tested patterns
- Influence the roadmap for our paywall and experiment tooling based on patterns you see across customers
Within 12 months, you’ll:
- Have materially improved conversion for a portfolio of customer apps, with clear before/after stories
- Help define our strategy for paywall templates and monetization UX guidance at scale
- Represent RevenueCat in public‑facing educational content (webinars, AMAs, workshops, or conference talks) as a leading voice on mobile monetization UX
WHAT WE OFFER:
- Competitive equity in a fast-growing, Series C startup backed by top-tier investors, including Y Combinator
- 10-year window to exercise vested equity options
- A fully remote environment designed around autonomy and flexibility
- 4-5 weeks of flexible time off annually
- Paid desk at a co-working space
- Workspace budget and continuous learning stipend
INTERVIEWING AT REVENUECAT
Our interview process is rigorous on purpose. We want to be sure that everyone we bring on is genuinely excited about this work, aligned with how we operate, and ready to meet our high bar for performance. Curious what that actually looks like? Read more in our blog post on how we hire at RevenueCat https://www.revenuecat.com/blog/company/how-we-hire-at-revenuecat/, including tips to help you succeed.
MORE ON HOW WE WORK:
- How we think about hiring and team design: Building a Winning Team https://app.notion.com/p/Building-a-Winning-Team-69e431c4c3df4b13961523cd93c0e9bf?pvs=21
- The values that guide how we work: Our Values https://www.revenuecat.com/blog/values/
- How we work as a remote team: How We Work Remotely at RevenueCat https://www.revenuecat.com/blog/how-we-work-remotely-at-revenuecat/
- What to expect from our interview process: Interview Expectations https://app.notion.com/p/RevenueCat-Interview-Expectations-1bdcb1a108b0800c8941def0f076f9e2?pvs=21
- What to expect from comp and employment: Employment FAQ https://app.notion.com/p/RevenueCat-Compensation-Employment-Overview-184cb1a108b0801398d4e525928597ab?pvs=21
Location: Americas Remote
Hi, I’m Josh, Engineering Manager at
Customer.io
. We’re looking for a curious, AI-forward Developer Experience Engineer to join our Integrations team and help us build the tools that developers rely on to integrate with
Customer.io
.
About
Customer.io
Over 9,000 companies - from scrappy startups to global brands - use our platform to send billions of emails, push notifications, in-app messages, and SMS every day.
Customer.io
powers automated communication that people actually want to receive.
We help teams send smarter, more relevant messages using real-time behavioral data. Under the hood: Go, React, Ember and AI help us ship fast and scale with confidence.
What We Value
Ownership
You own problems end to end. You move fast, act like an owner, and thrive in ambiguity. You've led complex projects before, whether officially or not, and you're ready to do it again.
Engineers with product taste
You think like a developer using your tools, not just an engineer building them. You care about API design, developer experience, and everything in between.
A healthy skepticism for “the way things are done”
You bring rigor and creativity. Best practices matter - but never more than forward motion.
What You’ll Do
Build and evolve
Customer.io
's SDKs across platforms - including Android, iOS, Node, and Go - and the developer tools that support them
Lead SDK initiatives end to end: set technical direction, write the code, manage the release, and own the outcome
Improve SDK delivery infrastructure - CI, automated testing, versioning, publishing, and release processes - so shipping is reliable and low-friction
Partner closely with product and design to turn loosely defined goals into a great developer experience
Participate in an on-call rotation as required, supporting the reliability of the systems you build
Use AI agents to make multi-file changes across unfamiliar codebases and languages by scoping the work, writing the prompt, and verifying the output
Bring strong customer empathy to the role - understanding what the engineers integrating with our SDKs actually need, and occasionally engaging directly with them
What we're looking for
Expert-level competency in at least one established programming language, with strong software design and API design fundamentals
Experience building and evolving mature, production-quality software, with a clear understanding of how systems fit together and how other developers consume them
Exceptional fluency with current LLMs and agentic coding tools (e.g., Claude, Cursor, Codex) - using AI to understand unfamiliar codebases, work across languages, and run things in parallel or autonomously
High autonomy in ambiguous environments - you clarify the problem, validate its value, and drive implementation without close direction
Strong written and verbal communication, with the ability to explain technical decisions and tradeoffs clearly
Ability to work effectively across multiple languages and stacks; prior experience in every language we support (Swift, Kotlin, Node, Go) is not required
Nice to have: experience building external-facing SDKs, APIs, or developer tools; experience owning CI, testing, versioning, or release infrastructure; or forward-deployed engineering experience.
Compensation & Benefits
We believe in transparency. Starting salary for this role is $150,000 - $200,000 USD (or equivalent in local currency) depending on experience and subject to market rate adjustment. In addition to base salary, this role includes an equity grant in the form of stock options, so you share in the success you help build.
We know our people are what make us great, and we’re committed to taking great care of them. Our inclusive benefits package supports your well-being and growth, including 100% coverage of medical, dental, vision, mental health, and supplemental insurance premiums for you and your family. We also offer 16 weeks paid parental leave, unlimited PTO, stipends for remote work and wellness, a professional development budget, and more.
See full benefits here →
Our Process
No gotchas, no trick questions - just a clear, human process designed to help both of us make an informed decision.
Application
- We review everyone with care. Tell us why you're interested.
Recruiter Call
(30 mins) - Let’s chat about what you’re looking for and how we work.
Hiring Manager & AI Skills Interview (60 mins)
- We'll explore ownership, autonomy, and collaboration, then dig into how you actually use AI in your day-to-day workflow.
Practical AI-Enabled Coding Round (60 mins)
- A live, collaborative session where you'll extend a sample SDK using AI tools. Wwe want to see how you think and work with AI as part of your process.
All final candidates will be asked to complete a background check and employment verifications as part of our pre-employment process.
Customer.io
recognizes the stifling impact of systemic injustice on diverse communities. We commit to using our influence to increase inclusion and equity within the tech industry. We strive to build an inclusive team culture, implement bias-free hiring practices, and develop community partnerships to expand our global impact.
Zoom is the only video conference platform that we use, virtual interviews will be conducted using the video capability (i.e., not via the chat), and offers will be extended in writing on official
Customer.io
letterhead. Please be vigilant in all of your job search activity, and if you have any questions please contact
jobs@customer.io
.
Join us!
We believe in empathy, transparency, responsibility, and, yes, a little awkwardness. If you’re excited by what you read and want to build software that makes communication better for everyone—apply now.
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 and dbt are building the open data infrastructure that powers AI agents you can trust.
Fivetran is looking for a Senior R&D Software Engineer to join our fast-growing Fivetran AI team. Your data stack was built for humans — but agents are the new primary data consumers, and they have fundamentally different requirements. Agents can’t intuit context; it must be explicitly codified, governed, and traceable. We’re building the governed context layer that solves this problem: Agents Schema, an open standard for storing agent-ready context directly in the customer’s own data warehouse, and Context Builder, the managed service that keeps it filled and fresh.
This role goes well beyond standard engineering. You’ll research emerging techniques in the fast-moving AI landscape and bring real product and market understanding to decide which ideas are worth pursuing — and then you’ll take what you’ve learned and ship it as production software. We’re looking for a true generalist who is willing and able to wear whatever hat the moment calls for: prototyping a new retrieval technique one week, hardening a backend service the next, then doing SRE or QA work when the team needs it. Fivetran AI operates like a startup within Fivetran, and we need engineers who thrive on that range rather than staying in one lane.
Fivetran is the epitome of data-driven development — our engineering team is focused on building a world class product that:
Builds Infrastructure Agents Can Trust
— join our mission to deliver the governed context layer that AI agents depend on: accurate semantic definitions, traceable lineage, data contracts, and auditable history baked in from the start.
Embraces Open Standards
— help build portable, interoperable data infrastructure: Agents Schema, open formats (Iceberg, Delta Lake), MCP-native interfaces, and connector skills that work with any model and any compute.
Scales Without Breaking
— work to make Fivetran AI efficient at agent scale, where unit costs deflate as volume grows and context retrieval is fast, accurate, and cost-controlled.
We emphasize using no-nonsense tools and take great pride in the simplicity and effectiveness of the systems we build. Our back-end is built on Java, Python, Postgres, and Kubernetes, and our front-end is built on React and TypeScript.
This is a full-time hybrid position based out of our New York, NY office. Our hybrid work model offers a blend of remote flexibility and in-person collaboration, including two days in the office each week to connect and build as a team.
Technologies You’ll Use
Python, Java, SQL, dbt, LLMs (Claude, ChatGPT, Gemini), vector databases, BigQuery / Snowflake / Databricks, MCP protocol, React, TypeScript, Kubernetes
What You’ll Do
Research emerging techniques in retrieval, reasoning, and agentic AI, and evaluate what’s actually relevant to Fivetran AI’s roadmap
Prototype new ideas quickly, then take the ones that prove out and turn them into shipped, production-grade features
Build and maintain both back-end and front-end systems for the Fivetran AI product — from Agents Schema pipelines to the Context Catalog UI
Contribute to the AISQL capability: natural language to SQL grounded in dbt metric definitions, executed natively against the warehouse
Take ownership of production reliability: on-call rotation, incident response, and SRE work to keep the platform trustworthy at scale
Write and maintain tests, and do hands-on QA to catch issues before customers do
Use coding agents to automate the repetitive parts of the job, freeing up time for the research and design work that needs a human
Partner with product and design, bringing your own understanding of the AI tooling market to shape what gets built next
Develop software designs and contribute to the technical roadmap for the Fivetran AI platform
Contribute to hiring by participating in the interview process
Skills We’re Looking For
5+ years of programming experience across Python and/or Java, with the ability to move fluidly between back-end and front-end work
Considered a trusted expert in your subject area, capable of executing complex, ambiguous tasks with minimal hand-holding
Comfortable reading AI/ML research and turning promising findings into working prototypes
Strong product and market awareness — able to judge which emerging techniques are worth building versus which are hype
Experience with SQL and data warehouses (BigQuery, Snowflake, Databricks, or similar)
Genuine willingness to work across the full stack: research, backend, frontend, SRE, and QA, as the team’s needs demand
Writes well-structured, performant code and can dive into unfamiliar codebases to suggest improvements
Experience using coding agents or similar AI tooling to speed up day-to-day engineering work
Analytical mindset to identify gaps in existing systems and design practical, pragmatic improvements
Thrives in a startup-like environment with shifting priorities and a high degree of ownership
Bonus Skills
Experience with LLM-powered applications — RAG pipelines, embeddings, evaluation frameworks, or agent frameworks
Familiarity with semantic layers — dbt, LookML, Sigma, or similar
Experience with the MCP (Model Context Protocol) ecosystem or building AI agent integrations
Background in site reliability engineering — monitoring, alerting, incident response
Experience in data processing (ETL, ELT) and/or building data connectors
Experienced working in a cloud environment utilizing AWS, GCP, Kubernetes, or Docker
Contributions to open source AI or data projects
#LI-HYBRID #LI-AM1
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
$174,915
—
$209,906.50 USD
Perks and Benefits
100% employer-paid medical insurance
*
Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off.
RSU stock grants*
Professional development and training opportunities
Company virtual happy hours, free food, and fun team-building activities
Monthly cell phone stipend
Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents.
*
May vary by country and worker type - please reach out to your recruiter for more information
Click
here
to learn more about Fivetran's Benefits by Region.
We’re honored to be
valued at over $5.6 billion
, but more importantly, we’re proud of our
core values of Get Stuck In, Do the Right Thing, and One Team, One Dream
. Read about us in
Forbes
.
Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities.
To learn more about Fivetran’s culture and what it’s like to be part of the team,
click here
and enjoy our video.
To learn more about our candidate privacy policy, you can
read our statement here
.
We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this
form
. We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.
Location: Denver, Colorado, United States, AMER
From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven.
About Us
Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites.
About the Role
Fivetran and dbt are building the open data infrastructure that powers AI agents you can trust.
Fivetran is looking for a Senior R&D Software Engineer to join our fast-growing Fivetran AI team. Your data stack was built for humans — but agents are the new primary data consumers, and they have fundamentally different requirements. Agents can’t intuit context; it must be explicitly codified, governed, and traceable. We’re building the governed context layer that solves this problem: Agents Schema, an open standard for storing agent-ready context directly in the customer’s own data warehouse, and Context Builder, the managed service that keeps it filled and fresh.
This role goes well beyond standard engineering. You’ll research emerging techniques in the fast-moving AI landscape and bring real product and market understanding to decide which ideas are worth pursuing — and then you’ll take what you’ve learned and ship it as production software. We’re looking for a true generalist who is willing and able to wear whatever hat the moment calls for: prototyping a new retrieval technique one week, hardening a backend service the next, then doing SRE or QA work when the team needs it. Fivetran AI operates like a startup within Fivetran, and we need engineers who thrive on that range rather than staying in one lane.
Fivetran is the epitome of data-driven development — our engineering team is focused on building a world class product that:
Builds Infrastructure Agents Can Trust
— join our mission to deliver the governed context layer that AI agents depend on: accurate semantic definitions, traceable lineage, data contracts, and auditable history baked in from the start.
Embraces Open Standards
— help build portable, interoperable data infrastructure: Agents Schema, open formats (Iceberg, Delta Lake), MCP-native interfaces, and connector skills that work with any model and any compute.
Scales Without Breaking
— work to make Fivetran AI efficient at agent scale, where unit costs deflate as volume grows and context retrieval is fast, accurate, and cost-controlled.
We emphasize using no-nonsense tools and take great pride in the simplicity and effectiveness of the systems we build. Our back-end is built on Java, Python, Postgres, and Kubernetes, and our front-end is built on React and TypeScript.
This is a full-time hybrid position based out of our Denver, CO office. Our hybrid work model offers a blend of remote flexibility and in-person collaboration, including two days in the office each week to connect and build as a team.
Technologies You’ll Use
Python, Java, SQL, dbt, LLMs (Claude, ChatGPT, Gemini), vector databases, BigQuery / Snowflake / Databricks, MCP protocol, React, TypeScript, Kubernetes
What You’ll Do
Research emerging techniques in retrieval, reasoning, and agentic AI, and evaluate what’s actually relevant to Fivetran AI’s roadmap
Prototype new ideas quickly, then take the ones that prove out and turn them into shipped, production-grade features
Build and maintain both back-end and front-end systems for the Fivetran AI product — from Agents Schema pipelines to the Context Catalog UI
Contribute to the AISQL capability: natural language to SQL grounded in dbt metric definitions, executed natively against the warehouse
Take ownership of production reliability: on-call rotation, incident response, and SRE work to keep the platform trustworthy at scale
Write and maintain tests, and do hands-on QA to catch issues before customers do
Use coding agents to automate the repetitive parts of the job, freeing up time for the research and design work that needs a human
Partner with product and design, bringing your own understanding of the AI tooling market to shape what gets built next
Develop software designs and contribute to the technical roadmap for the Fivetran AI platform
Contribute to hiring by participating in the interview process
Skills We’re Looking For
5+ years of programming experience across Python and/or Java, with the ability to move fluidly between back-end and front-end work
Considered a trusted expert in your subject area, capable of executing complex, ambiguous tasks with minimal hand-holding
Comfortable reading AI/ML research and turning promising findings into working prototypes
Strong product and market awareness — able to judge which emerging techniques are worth building versus which are hype
Experience with SQL and data warehouses (BigQuery, Snowflake, Databricks, or similar)
Genuine willingness to work across the full stack: research, backend, frontend, SRE, and QA, as the team’s needs demand
Writes well-structured, performant code and can dive into unfamiliar codebases to suggest improvements
Experience using coding agents or similar AI tooling to speed up day-to-day engineering work
Analytical mindset to identify gaps in existing systems and design practical, pragmatic improvements
Thrives in a startup-like environment with shifting priorities and a high degree of ownership
Bonus Skills
Experience with LLM-powered applications — RAG pipelines, embeddings, evaluation frameworks, or agent frameworks
Familiarity with semantic layers — dbt, LookML, Sigma, or similar
Experience with the MCP (Model Context Protocol) ecosystem or building AI agent integrations
Background in site reliability engineering — monitoring, alerting, incident response
Experience in data processing (ETL, ELT) and/or building data connectors
Experienced working in a cloud environment utilizing AWS, GCP, Kubernetes, or Docker
Contributions to open source AI or data projects
#LI-HYBRID #LI-AM1
The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role. Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process.
Denver Pay Range
$163,920.50
—
$196,712.50 USD
Perks and Benefits
100% employer-paid medical insurance
*
Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off.
RSU stock grants*
Professional development and training opportunities
Company virtual happy hours, free food, and fun team-building activities
Monthly cell phone stipend
Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents.
*
May vary by country and worker type - please reach out to your recruiter for more information
Click
here
to learn more about Fivetran's Benefits by Region.
We’re honored to be
valued at over $5.6 billion
, but more importantly, we’re proud of our
core values of Get Stuck In, Do the Right Thing, and One Team, One Dream
. Read about us in
Forbes
.
Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities.
To learn more about Fivetran’s culture and what it’s like to be part of the team,
click here
and enjoy our video.
To learn more about our candidate privacy policy, you can
read our statement here
.
We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this
form
. We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.
Location: USA - Austin (dbt)
From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven.
About Us
Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites.
About the Role
Fivetran and dbt are building the open data infrastructure that powers AI agents you can trust.
Fivetran is looking for a Senior R&D Software Engineer to join our fast-growing Fivetran AI team. Your data stack was built for humans — but agents are the new primary data consumers, and they have fundamentally different requirements. Agents can’t intuit context; it must be explicitly codified, governed, and traceable. We’re building the governed context layer that solves this problem: Agents Schema, an open standard for storing agent-ready context directly in the customer’s own data warehouse, and Context Builder, the managed service that keeps it filled and fresh.
This role goes well beyond standard engineering. You’ll research emerging techniques in the fast-moving AI landscape and bring real product and market understanding to decide which ideas are worth pursuing — and then you’ll take what you’ve learned and ship it as production software. We’re looking for a true generalist who is willing and able to wear whatever hat the moment calls for: prototyping a new retrieval technique one week, hardening a backend service the next, then doing SRE or QA work when the team needs it. Fivetran AI operates like a startup within Fivetran, and we need engineers who thrive on that range rather than staying in one lane.
Fivetran is the epitome of data-driven development — our engineering team is focused on building a world class product that:
Builds Infrastructure Agents Can Trust
— join our mission to deliver the governed context layer that AI agents depend on: accurate semantic definitions, traceable lineage, data contracts, and auditable history baked in from the start.
Embraces Open Standards
— help build portable, interoperable data infrastructure: Agents Schema, open formats (Iceberg, Delta Lake), MCP-native interfaces, and connector skills that work with any model and any compute.
Scales Without Breaking
— work to make Fivetran AI efficient at agent scale, where unit costs deflate as volume grows and context retrieval is fast, accurate, and cost-controlled.
We emphasize using no-nonsense tools and take great pride in the simplicity and effectiveness of the systems we build. Our back-end is built on Java, Python, Postgres, and Kubernetes, and our front-end is built on React and TypeScript.
This is a full-time hybrid position based out of our Austin, TX office. Our hybrid work model offers a blend of remote flexibility and in-person collaboration, including two days in the office each week to connect and build as a team.
Technologies You’ll Use
Python, Java, SQL, dbt, LLMs (Claude, ChatGPT, Gemini), vector databases, BigQuery / Snowflake / Databricks, MCP protocol, React, TypeScript, Kubernetes
What You’ll Do
Research emerging techniques in retrieval, reasoning, and agentic AI, and evaluate what’s actually relevant to Fivetran AI’s roadmap
Prototype new ideas quickly, then take the ones that prove out and turn them into shipped, production-grade features
Build and maintain both back-end and front-end systems for the Fivetran AI product — from Agents Schema pipelines to the Context Catalog UI
Contribute to the AISQL capability: natural language to SQL grounded in dbt metric definitions, executed natively against the warehouse
Take ownership of production reliability: on-call rotation, incident response, and SRE work to keep the platform trustworthy at scale
Write and maintain tests, and do hands-on QA to catch issues before customers do
Use coding agents to automate the repetitive parts of the job, freeing up time for the research and design work that needs a human
Partner with product and design, bringing your own understanding of the AI tooling market to shape what gets built next
Develop software designs and contribute to the technical roadmap for the Fivetran AI platform
Contribute to hiring by participating in the interview process
Skills We’re Looking For
5+ years of programming experience across Python and/or Java, with the ability to move fluidly between back-end and front-end work
Considered a trusted expert in your subject area, capable of executing complex, ambiguous tasks with minimal hand-holding
Comfortable reading AI/ML research and turning promising findings into working prototypes
Strong product and market awareness — able to judge which emerging techniques are worth building versus which are hype
Experience with SQL and data warehouses (BigQuery, Snowflake, Databricks, or similar)
Genuine willingness to work across the full stack: research, backend, frontend, SRE, and QA, as the team’s needs demand
Writes well-structured, performant code and can dive into unfamiliar codebases to suggest improvements
Experience using coding agents or similar AI tooling to speed up day-to-day engineering work
Analytical mindset to identify gaps in existing systems and design practical, pragmatic improvements
Thrives in a startup-like environment with shifting priorities and a high degree of ownership
Bonus Skills
Experience with LLM-powered applications — RAG pipelines, embeddings, evaluation frameworks, or agent frameworks
Familiarity with semantic layers — dbt, LookML, Sigma, or similar
Experience with the MCP (Model Context Protocol) ecosystem or building AI agent integrations
Background in site reliability engineering — monitoring, alerting, incident response
Experience in data processing (ETL, ELT) and/or building data connectors
Experienced working in a cloud environment utilizing AWS, GCP, Kubernetes, or Docker
Contributions to open source AI or data projects
#LI-HYBRID #LI-AM1
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
$163,920.50
—
$196,712.50 USD
Perks and Benefits
100% employer-paid medical insurance
*
Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off.
RSU stock grants*
Professional development and training opportunities
Company virtual happy hours, free food, and fun team-building activities
Monthly cell phone stipend
Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents.
*
May vary by country and worker type - please reach out to your recruiter for more information
Click
here
to learn more about Fivetran's Benefits by Region.
We’re honored to be
valued at over $5.6 billion
, but more importantly, we’re proud of our
core values of Get Stuck In, Do the Right Thing, and One Team, One Dream
. Read about us in
Forbes
.
Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities.
To learn more about Fivetran’s culture and what it’s like to be part of the team,
click here
and enjoy our video.
To learn more about our candidate privacy policy, you can
read our statement here
.
We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this
form
. We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.
Location: Oakland, California, United States, AMER
From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven.
About Us
Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites.
About the Role
Fivetran and dbt are building the open data infrastructure that powers AI agents you can trust.
Fivetran is looking for a Senior R&D Software Engineer to join our fast-growing Fivetran AI team. Your data stack was built for humans — but agents are the new primary data consumers, and they have fundamentally different requirements. Agents can’t intuit context; it must be explicitly codified, governed, and traceable. We’re building the governed context layer that solves this problem: Agents Schema, an open standard for storing agent-ready context directly in the customer’s own data warehouse, and Context Builder, the managed service that keeps it filled and fresh.
This role goes well beyond standard engineering. You’ll research emerging techniques in the fast-moving AI landscape and bring real product and market understanding to decide which ideas are worth pursuing — and then you’ll take what you’ve learned and ship it as production software. We’re looking for a true generalist who is willing and able to wear whatever hat the moment calls for: prototyping a new retrieval technique one week, hardening a backend service the next, then doing SRE or QA work when the team needs it. Fivetran AI operates like a startup within Fivetran, and we need engineers who thrive on that range rather than staying in one lane.
Fivetran is the epitome of data-driven development — our engineering team is focused on building a world class product that:
Builds Infrastructure Agents Can Trust
— join our mission to deliver the governed context layer that AI agents depend on: accurate semantic definitions, traceable lineage, data contracts, and auditable history baked in from the start.
Embraces Open Standards
— help build portable, interoperable data infrastructure: Agents Schema, open formats (Iceberg, Delta Lake), MCP-native interfaces, and connector skills that work with any model and any compute.
Scales Without Breaking
— work to make Fivetran AI efficient at agent scale, where unit costs deflate as volume grows and context retrieval is fast, accurate, and cost-controlled.
We emphasize using no-nonsense tools and take great pride in the simplicity and effectiveness of the systems we build. Our back-end is built on Java, Python, Postgres, and Kubernetes, and our front-end is built on React and TypeScript.
This is a full-time hybrid position based out of our Oakland, CA office. Our hybrid work model offers a blend of remote flexibility and in-person collaboration, including two days in the office each week to connect and build as a team.
Technologies You’ll Use
Python, Java, SQL, dbt, LLMs (Claude, ChatGPT, Gemini), vector databases, BigQuery / Snowflake / Databricks, MCP protocol, React, TypeScript, Kubernetes
What You’ll Do
Research emerging techniques in retrieval, reasoning, and agentic AI, and evaluate what’s actually relevant to Fivetran AI’s roadmap
Prototype new ideas quickly, then take the ones that prove out and turn them into shipped, production-grade features
Build and maintain both back-end and front-end systems for the Fivetran AI product — from Agents Schema pipelines to the Context Catalog UI
Contribute to the AISQL capability: natural language to SQL grounded in dbt metric definitions, executed natively against the warehouse
Take ownership of production reliability: on-call rotation, incident response, and SRE work to keep the platform trustworthy at scale
Write and maintain tests, and do hands-on QA to catch issues before customers do
Use coding agents to automate the repetitive parts of the job, freeing up time for the research and design work that needs a human
Partner with product and design, bringing your own understanding of the AI tooling market to shape what gets built next
Develop software designs and contribute to the technical roadmap for the Fivetran AI platform
Contribute to hiring by participating in the interview process
Skills We’re Looking For
5+ years of programming experience across Python and/or Java, with the ability to move fluidly between back-end and front-end work
Considered a trusted expert in your subject area, capable of executing complex, ambiguous tasks with minimal hand-holding
Comfortable reading AI/ML research and turning promising findings into working prototypes
Strong product and market awareness — able to judge which emerging techniques are worth building versus which are hype
Experience with SQL and data warehouses (BigQuery, Snowflake, Databricks, or similar)
Genuine willingness to work across the full stack: research, backend, frontend, SRE, and QA, as the team’s needs demand
Writes well-structured, performant code and can dive into unfamiliar codebases to suggest improvements
Experience using coding agents or similar AI tooling to speed up day-to-day engineering work
Analytical mindset to identify gaps in existing systems and design practical, pragmatic improvements
Thrives in a startup-like environment with shifting priorities and a high degree of ownership
Bonus Skills
Experience with LLM-powered applications — RAG pipelines, embeddings, evaluation frameworks, or agent frameworks
Familiarity with semantic layers — dbt, LookML, Sigma, or similar
Experience with the MCP (Model Context Protocol) ecosystem or building AI agent integrations
Background in site reliability engineering — monitoring, alerting, incident response
Experience in data processing (ETL, ELT) and/or building data connectors
Experienced working in a cloud environment utilizing AWS, GCP, Kubernetes, or Docker
Contributions to open source AI or data projects
#LI-HYBRID #LI-AM1
The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role. Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process.
Oakland Pay Range
$174,915
—
$209,906.50 USD
Perks and Benefits
100% employer-paid medical insurance
*
Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off.
RSU stock grants*
Professional development and training opportunities
Company virtual happy hours, free food, and fun team-building activities
Monthly cell phone stipend
Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents.
*
May vary by country and worker type - please reach out to your recruiter for more information
Click
here
to learn more about Fivetran's Benefits by Region.
We’re honored to be
valued at over $5.6 billion
, but more importantly, we’re proud of our
core values of Get Stuck In, Do the Right Thing, and One Team, One Dream
. Read about us in
Forbes
.
Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities.
To learn more about Fivetran’s culture and what it’s like to be part of the team,
click here
and enjoy our video.
To learn more about our candidate privacy policy, you can
read our statement here
.
We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this
form
. We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.
Location: Boston, MA
Workplace: OnSite
At WHOOP, we're on a mission to unlock and inspire performance for life. We build products that help people better understand their bodies, improve performance, recover smarter, and build healthier habits through continuous health monitoring and actionable insights. Our products sit at the intersection of hardware, software, data science, sport, health, fashion, and culture.
The Creative org defines how WHOOP is felt in the world. We are responsible for the physical manifestations of the brand, from hardware, bands, and accessories to collaborations, retail environments, pop-ups, and in-store moments. We operate with high taste, deep craft, and exacting standards. This is a design team built on trust, candor, and a shared obsession with quality. We are empowered to initiate, to challenge, and to lead. Our mandate is simple and uncompromising: to deliver best-in-class design across every physical touchpoint and to make WHOOP unmistakable through clarity, restraint, and excellence.
We are looking for a Senior Industrial Design, Lead to help define the future of WHOOP hardware and wearable experiences. This role is for a designer who can move fluidly between vision and execution, shaping product strategy while obsessing over the details of form, fit, material, finish, comfort, manufacturing, and long-term user behavior.
As Senior Industrial Design, Lead, you will own and drive industrial design across next-generation WHOOP products, accessories, and wearable systems. You will lead concept development, translate insights into compelling physical experiences, and partner deeply with Product, Engineering, Research, CMF, Apparel, Manufacturing, Brand, and Marketing teams to bring world-class products to market.
This person will help define how WHOOP shows up on the body, in sport, in daily life, and in culture. The ideal candidate has deep experience designing wearable products or technically complex consumer hardware, a refined aesthetic point of view, strong ergonomic intuition, and the ability to lead cross-functional teams from early exploration through mass production.
RESPONSIBILITIES:
- Lead industrial design for future WHOOP hardware, bands, accessories, and wearable ecosystems from concept through production.
- Translate user, athlete, member, and market insights into design strategies, product architectures, and differentiated physical experiences.
- Create compelling design concepts through sketching, 3D modeling, prototyping, visualization, and storytelling.
- Drive ergonomic studies, wearability testing, fit analysis, and human factors exploration to ensure products perform across body types, activities, environments, and use cases.
- Partner closely with Mechanical Engineering, Electrical Engineering, Sensors, Apparel, Product, and Manufacturing to balance design intent, technical feasibility, performance, comfort, durability, and cost.
- Lead CMF direction in collaboration with CMF and Brand partners, ensuring every material, finish, texture, and color decision reinforces the WHOOP design language.
- Build and evolve design systems for WHOOP hardware, accessories, and on-body experiences, creating consistency while enabling future innovation.
- Prototype rapidly across fidelity levels, from rough physical mockups to refined appearance models and functional wear-test samples.
- Guide design decisions through clear rationale, strong visual communication, and a deep understanding of member needs.
- Mentor industrial designers and contribute to a high-performance creative culture rooted in craft, rigor, curiosity, and accountability.
- Present design work to senior leadership, clearly articulating the strategic, experiential, technical, and business rationale behind key decisions.
- Partner with external vendors, model shops, factories, and development partners to preserve design intent through tooling, validation, and production.
- Stay ahead of trends in wearables, health technology, performance apparel, fashion, materials, manufacturing, and culture.
QUALIFICATIONS:
- 8+ years of industrial design experience, with significant experience in consumer electronics, wearables, health technology, performance products, footwear, apparel, or technically complex consumer goods.
- A portfolio that demonstrates exceptional taste, concept development, design process, problem solving, prototyping, and production execution.
- Proven experience bringing products from early concept through manufacturing and launch.
- Deep understanding of ergonomics, body-worn products, soft goods, hard goods, materials, CMF, manufacturing processes, and design for scale.
- Strong 2D and 3D design skills, including sketching, CAD, rendering, visualization, and physical prototyping.
- Ability to lead ambiguous, future-facing design programs while also managing the details required to ship excellent products.
- Experience collaborating with engineering and manufacturing teams on technically constrained products.
- Strong storytelling and presentation skills, with the ability to influence executive stakeholders and cross-functional partners.
- A refined aesthetic point of view and a high bar for proportion, detail, materiality, usability, and emotional resonance.
- A collaborative, low-ego leadership style with the ability to mentor designers and elevate the work of a broader team.
- Passion for health, fitness, sport, human performance, design innovation, and the future of wearable technology.
This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office.
Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply.
WHOOP is an Equal Opportunity Employer and participates in E-verify https://www.e-verify.gov/ to determine employment eligibility. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values.
At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success.
The U.S. base salary range for this full-time position is $130,000 - $170,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training.
In addition to the base salary, the successful candidate will also receive benefits and a generous equity package.
These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.
Learn more about WHOOP https://www.whoop.com/us/en/careers/?srsltid=AfmBOopKmph9d0DLBlogZu8mx6do0dzjNS8eJlfc4PQqQtdU6F8DGKBg.
Location: Costa Mesa, United States
ABOUT THE TEAM
The
Air Dominance and Strike (AD&S) Electrical Engineering Team
is responsible for developing high-reliability avionics, embedded processing, and power systems for Group 5 air vehicles and missile platforms. Working across hardware, software, and mission autonomy, the team delivers flight-critical electronics, PCB assemblies, and FPGA-based processing architectures that enable our client's next-generation autonomous air platforms to operate in complex and contested environments. AD&S Electrical Engineers drive end-to-end development, from system architecture and circuit design to verification, integration, and flight test, ensuring scalable, mission-ready solutions that meet the performance, reliability, and survivability demands of the U.S. Military and modern air warfare.
ABOUT THE JOB
We are looking for an
Avionics Engineer
to join our rapidly growing team in
Costa Mesa, CA
. In this role, you will be tasked with working closely with avionics engineers to review and design electrical integration details to ensure details are documented and communicated to all relevant stakeholders. If you are someone who thrives in a fast-paced environment supporting new developments, active deployments, and customer operated hardware, we are looking for you.
WHAT YOU WILL DO
Full cycle PCB design including collecting requirements, schematic design, component selection, supervision or completion of layout, bring-up, test, debug, and system integration
Conduct bring-up and design work on microcontrollers, ensuring seamless integration within the system
Troubleshoot issues that span electrical and software boundaries, utilizing both lab equipment (Oscilloscopes, DMM, etc.) and basic software debugging tools}
ADDITIONAL LEARNING & DEVELOPMENT OPPORTUNITIES
Work in a fast-paced environment supporting new developments, deployments, and customer operated hardware
Perform power design, including development and integration of power management systems and components
Develop payloads and subsystems (sensors, payload interfaces, power management, and networking)
Create system interconnect diagrams and define wire harnesses that connect electronic equipment within a subsystem
Collaborate closely with other electrical, mechanical, software, firmware, and test engineers to deliver fully functional, mission-critical products
Conduct peer-level and cross-discipline design reviews
REQUIRED QUALIFICATIONS
Bachelor’s Degree in Electrical Engineering or equivalent, with 3+ years of experience designing, testing, and troubleshooting complex system designs
Ability to perform power system and electrical loading analysis, simulation, and testing to determine optimal solutions
High competence using lab test equipment (benchtop power supplies, electronics loads, oscilloscopes, DMM, logic/spectrum analyzers, etc.) with familiarity of thermal and EMI test chambers and using basic software debugging tools
Familiarity with common electrical bus interfaces (CAN, I2C, SPI, Ethernet, RS232/422, RS485, USB)
Exceptional organization and communication skills (both written and oral)
Eligible to obtain and maintain an active U.S. security clearance
Experience with power design and power management systems
Hands-on experience with microcontrollers, including bring-up and design work
Knowledge of modern analog and digital electronics and electronic circuits
Experience designing mixed-signal PCBs with multiple layer counts, layer stackup and impedance matching for power and sensor applications, understanding correct grounding approaches and employing appropriate board protections and filtering
Understanding of low voltage and high voltage power electronics and control systems in order to capture system interconnect diagrams and drive cable harnessing designs with proper wire and connector selection
PREFERRED QUALIFICATIONS
Familiar with high end consumer or military embedded systems design
Experience with power systems including batteries and AC power.
Develop low-level firmware for bring-up and test
Background in defense and missile systems.
Comprehensive understanding of the effects of temperature and vibration on electrical designs.
Location: Paris; Beijing
Workplace: Hybrid
ABOUT VOODOO
Voodoo is a consumer tech company founded in Paris in 2013, with one mission: entertain the world. Today we are 1,000 people, generating $1b+ in annual revenue, profitably. Our games and apps have passed 7 billion downloads and reach 200 million+ active users every month, making Voodoo the #3 mobile publisher worldwide in downloads, after Google and Meta. We were backed by Goldman Sachs, Tencent and GBL along the way.
This position is ideally Paris-based or Beijing- based with relocation support available.
TEAM
You will be an integral part of a newly established internal studio, a dynamic and focused team dedicated to one of our most promising Puzzle game in scale. This studio is specifically chartered to improve this high-potential game up to the successful and market-ready title it is meant to become.
ROLE
As a Level Designer for one of our Puzzle Studio, you will be at the heart of the game's evolution. You will work closely with a multidisciplinary team of engineers, artists, and product experts to design, test, and refine features that keep our players engaged and entertained.
- Participate in the design and creation of engaging, challenging, and fun levels that maintain player interest and progression
- Develop and iterate on game mechanics and features that enhance the core gameplay loop
- Analyze player behavior, game metrics, and feedback to identify opportunities for improvement
- Collaborate with engineers and artists to bring level designs and features to life
- Structure, run, and monitor A/B tests to validate design decisions and optimize player experience
- Balance game difficulty curves to ensure appropriate challenge and retention across all levels
- Stay up-to-date with the hybrid-casual and puzzle game market, analyzing competitor games and emerging trends
- Test and playtest levels and features to ensure quality and enjoyment
- Contribute to the product roadmap and strategic direction
- Work iteratively, rapidly prototyping ideas and incorporating feedback from the team and data
PROFILE
- 2+ years of professional experience in game design, product specialist, Level Design or similar role in the mobile gaming industry
- Strong passion for mobile puzzle and hybrid-casual games, with a deep understanding of what makes them engaging and successful
- Analytical mindset with the ability to interpret data, identify trends, and make data-driven design decisions
- Understanding of player psychology and what drives engagement, retention, and satisfaction in puzzle games
- Strong communication skills and ability to clearly articulate design ideas to cross-functional teams
- Iterative mindset with the ability to rapidly test, learn, and improve designs based on feedback
- Fluent in English
- Bonus: Experience with Unity or game development tools, knowledge of A/B testing methodologies, experience shipping successful mobile games
- AI-first mindset: Comfortable using AI daily and building custom agents or reusable automations to speed up your work
BENEFITS:
- Competitive salary
- Benefits according to the country you reside in
Location: Paris; Beijing
Workplace: Hybrid
ABOUT VOODOO
Voodoo is a consumer tech company founded in Paris in 2013, with one mission: entertain the world. Today we are 1,000 people, generating $1b+ in annual revenue, profitably. Our games and apps have passed 7 billion downloads and reach 200 million+ active users every month, making Voodoo the #3 mobile publisher worldwide in downloads, after Google and Meta. We were backed by Goldman Sachs, Tencent and GBL along the way.
This position is ideally Paris-based or Beijing- based with relocation support available.
TEAM
You will be an integral part of a newly established internal studio, a dynamic and focused team dedicated to one of our most promising Puzzle game in scale. This studio is specifically chartered to improve this high-potential game up to the successful and market-ready title it is meant to become.
ROLE
As a Product Specialist for one of our Puzzle Studio, you will be at the heart of the game's evolution. You will work closely with a multidisciplinary team of engineers, artists, and product experts to design, test, and refine features that keep our players engaged and entertained.
- Participate in the design and creation of engaging, challenging, and fun levels that maintain player interest and progression
- Develop and iterate on game mechanics and features that enhance the core gameplay loop
- Analyze player behavior, game metrics, and feedback to identify opportunities for improvement
- Collaborate with engineers and artists to bring level designs and features to life
- Structure, run, and monitor A/B tests to validate design decisions and optimize player experience
- Balance game difficulty curves to ensure appropriate challenge and retention across all levels
- Stay up-to-date with the hybrid-casual and puzzle game market, analyzing competitor games and emerging trends
- Test and playtest levels and features to ensure quality and enjoyment
- Contribute to the product roadmap and strategic direction
- Work iteratively, rapidly prototyping ideas and incorporating feedback from the team and data
PROFILE
- 2+ years of professional experience in game design, product specialist, or similar role in the mobile gaming industry
- Strong passion for mobile puzzle and hybrid-casual games, with a deep understanding of what makes them engaging and successful
- Analytical mindset with the ability to interpret data, identify trends, and make data-driven design decisions
- Understanding of player psychology and what drives engagement, retention, and satisfaction in puzzle games
- Strong communication skills and ability to clearly articulate design ideas to cross-functional teams
- Iterative mindset with the ability to rapidly test, learn, and improve designs based on feedback
- Fluent in English
- Bonus: Experience with Unity or game development tools, knowledge of A/B testing methodologies, experience shipping successful mobile games
- AI-first mindset: Comfortable using AI daily and building custom agents or reusable automations to speed up your work
BENEFITS:
- Competitive salary
- Benefits according to the country you reside in
New York City, New York
USA - New York
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.
УдалённоseniorCiudad de México, Mexico; Moscow, Russia; Official employment under local labor law; contractor arrangements available for candidates from other countries
УдалённоCiudad de México, Mexico; Moscow, Russia; Official employment under local labor law; contractor arrangements available for candidates from other countries
УдалённоseniorAmericas; APAC; EMEA
seniorAmericas Remote
seniorUSA - New York
seniorDenver, Colorado, United States, AMER
seniorUSA - Austin (dbt)
seniorOakland, California, United States, AMER
ОфисleadГеография найма не уточнена
Costa Mesa, United States
ГибридParis; Beijing; This position is ideally Paris-based or Beijing- based with relocation support available
ГибридParis; Beijing; This position is ideally Paris-based or Beijing- based with relocation support available
Все вакансии в одном месте - страница 74 · Job Hunters
