Location: Denver, Colorado, United States, AMER
From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven.
About Us
Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions.
As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites.
About The Role
As a Senior Technical Product Marketing Manager at Fivetran + dbt Labs, you will play a pivotal role in shaping the market perception of Fivetran+dbt Labs: building compelling narratives, driving product adoption, and shaping how our products are used and understood by our enterprise customers. This is a highly cross-functional, generalist technical PMM role that will support key product areas as needed and help scale technical product marketing across the organization. This role ensures our marketing efforts align with the technical depth, clarity, and value our customers expect. Technical Product Marketing Managers at Fivetran+dbt Labs stay current on the evolving data and analytics landscape, modern data infrastructure, and emerging trends such as AI. This role is perfect for someone who’s as comfortable digging into the details of our features and our users’ needs as they are with telling a big-picture story about where our platform and industry are headed.
This is not a Product Marketing role focused solely on executing requests from the product or sales teams. Product Marketing at Fivetran+dbt Labs is highly strategic and cross-functional, collaborating across product, marketing, GTM, customer success, and executive teams to shape the direction of our product offerings and deliver customer impact. If you are passionate about driving strategy, fostering cross-functional partnerships, and contributing to transformative initiatives in the data and AI space, we’d love for you to apply.
What You’ll Do
Content Development & Messaging: Create high-impact technical collateral across the Fivetran platform, including architecture diagrams, demos, white papers, blogs, pitch decks, technical guides, and other customer-facing content. Develop thought leadership that translates complex technical concepts into clear, value-based messaging for technical audiences. Review and edit materials across the product portfolio to ensure technical accuracy, consistency, and strategic alignment.
Customer & Market Insights: Conduct research on market trends, customer needs, and competitive dynamics across the modern data ecosystem to inform product positioning and messaging. Partner closely with Product Management to deeply understand features, technical capabilities, and customer use cases across multiple product areas. Develop how-to guides, demo videos, case studies, and technical whitepapers that support adoption and expansion across key products.
Cross-Functional Collaboration: Act as a technical marketing partner to GTM Product Marketers, Demand Generation, Regional Marketing, Sales, and Enablement to support launches, campaigns, webinars, field events, and sales plays across priority product areas. Collaborate with Partner Marketing to showcase integrations and ecosystem partnerships through joint initiatives such as webinars, workshops, and hands-on labs.
Technical Expertise: Operationalize technical product marketing best practices across teams. Stay up to date with trends in data integration, cloud data platforms, AI, deployment models, governance, etc. Serve as technical SME on the Fivetran platform, articulating how it fits into customers’ broader data stacks and workflows. Provide best practices, reference architectures, and technical validation to support sales cycles and customer conversations.
Thought Leadership: Represent Fivetran as a platform expert through events, presentations, webinars, and hands-on labs. Support analyst relations and strategic conversations by providing detailed technical insights and validating product innovation across the portfolio. Help position Fivetran as a foundational component of modern, scalable data infrastructure.
Skills We’re Looking For
2-4 years of experience in product marketing, data engineering, product management, sales engineering, and/or data and analytics consulting
Data industry experience and expertise: Either hands-on work with or knowledge of data engineering with a focus on data integration, databases, data warehouses, and related technologies (e.g. SQL, dbt, python, Spark).
Technical aptitude and a desire to learn more: Knowledge of modern data infrastructure and tools, particularly in relation to data lakes and their role in analytics and storage. Has a keen interest in all things data integration and cloud destinations and a willingness to work on new product areas as they arise.
Experience working with multiple different teams: Proven experience partnering and coaching across Product, Sales, Marketing, and Enablement teams to deliver impactful results.
Strong in-person, virtual, and written communication: Exceptional verbal and written communication skills, capable of adapting messaging for different technical personas and mediums.
Highly-organized with an excellent project management track record: Strong project management skills to juggle multiple initiatives and projects, maintain proactive communication with stakeholders, and meet deadlines.
An understanding of our target customers: The ability to gain a deep understanding of the needs and challenges of data engineers, data scientists, data architects, and technical stakeholders.
#LI-Hybrid
#LI-JC1
The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role. Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process.
Denver Pay Range
$166,176
—
$207,719.75 USD
Perks and Benefits
100% employer-paid medical insurance
*
Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off.
RSU stock grants*
Professional development and training opportunities
Company virtual happy hours, free food, and fun team-building activities
Monthly cell phone stipend
Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents.
*
May vary by country and worker type - please reach out to your recruiter for more information
Click
here
to learn more about Fivetran's Benefits by Region.
We’re honored to be
valued at over $5.6 billion
, but more importantly, we’re proud of our
core values of Get Stuck In, Do the Right Thing, and One Team, One Dream
. Read about us in
Forbes
.
Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities.
To learn more about Fivetran’s culture and what it’s like to be part of the team,
click here
and enjoy our video.
To learn more about our candidate privacy policy, you can
read our statement here
.
We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this
form
. We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.
About Magic Eden and Dicey
Magic Eden reached unicorn status in just 9 months after launch, one of the fastest in history. They built a category-defining NFT marketplace from scratch and are now developing Dicey, a crypto casino and sportsbook platform targeting the $180B+ iGaming and sports betting markets. The team is small and fully remote, focusing on fast shipping, data-driven decisions, and rebuilding growth operations around AI.
The role
The position focuses on personalized retention in the iGaming industry, owning the full post-signup journey. Responsibilities include expanding the player segmentation framework, designing and running targeted offers and campaigns, and managing the associated P&L lever. The role is explicitly AI-native, involving building workflows, agents, and pipelines to run lifecycle campaigns efficiently. Half the job is problem identification, the other half is running experiments to find solutions.
What you'll do
— Own retention and monetization as a growth loop, setting targets, finding leverage, and driving post-signup metrics
— Own and evolve the player segmentation framework, deciding signals and company usage
— Build the AI-native growth stack including analysis, agents, and automated pipelines for segment surfacing, offer generation, and campaign execution
— Design and ship targeted offers such as reload bonuses, lossback, wager bounties, challenges, and win-back sequences; size, specify, ship, and measure them
— Analyze data warehouse and on-chain data to find patterns and create campaigns proactively
— Expand player signals including on-chain activity, status-match programs, social account linking, and others
— Run campaigns across channels like email, in-app, Telegram, with AI handling heavy lifting
— Collaborate with engineering and design to create product surfaces that enable repeatable processes
What they're looking for
— Strong intuition for player psychology and incentive design; experience in gambling, gaming, fintech, or consumer marketplaces is helpful
— Deep analytical skills, able to independently perform cohort analyses without waiting for data scientists
— AI-native mindset, already using AI to write queries, build analyses, and automate work, with desire to advance further
— High output with good judgment, generating many ideas and prioritizing tests effectively
— Bias to do it yourself, comfortable executing emails, queries, and specs personally
— Comfortable with ambiguity and building new playbooks
Backgrounds that tend to fit
— Growth PM at data-heavy consumer companies
— MBB consultants transitioning to product ownership
— Product-minded data scientists or analysts focused on shipping rather than reporting
Why this is interesting
— Competitive, top-of-market compensation
— Defining the role of a growth PM in an AI-native company without existing playbooks
— Early involvement in personalized retention, a key industry trend
— Real ownership of segmentation framework, product surface, and P&L lever with direct access to founders
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 both companies' strengths while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites.
About the Role
Fivetran is building data pipelines to power the modern data stack for thousands of companies.
We’re looking for a
Pricing & Order Operations Analyst
to join our Order Operations & Monetization team. This role restores dedicated capacity for pricing and order operations testing, quote-to-cash (QTC) release validation, and order execution support.
You’ll help ensure system changes are tested, validated, and operationally ready before they go live. You’ll provide Pricing and Order Operations subject-matter expertise and execute assigned business validation across signature packets, bookings, marketplace offers, and booking-to-order management handoffs. This role partners closely with Order Operations & Monetization, IT’s business systems team, Pricing Operations, Sales, and Deal Desk.
Reporting & Prioritization
Reports to the Order Operations & Monetization lead, Jamie Calkins.
The Senior Pricing Operations Manager may help prioritize pricing-related test cases and QTC issues tied specifically to pricing and quoting.
The Order Operations & Monetization lead owns final prioritization of the analyst’s workload across order operations, assigned non-pricing UAT participation, and pricing-related support work.
This is a hybrid role, 1-2 days in the office.
Technologies You’ll Use
Salesforce CPQ
Jira
Suger and marketplace user interfaces, including AWS, Azure, GCP, and Snowflake
Notion
Metronome
Hex
What You’ll Do
Pricing Operations & QTC Support
Support pricing operations changes through business requirement review, data validation, configuration checks, and documentation, helping ensure pricing logic is accurately reflected in QTC workflows.
Validate pricing-related QTC changes across quoting, approvals, discounting logic, product configuration, and downstream order execution.
Help confirm that pricing changes are operationally ready before launch, including impacts to Sales, Deal Desk, Order Operations, Billing, Revenue, and marketplace workflows.
Partner with the Senior Pricing Operations Manager to prioritize pricing-related test cases, identify gaps in business requirements, and document expected system behavior.
Help maintain documentation for pricing- and order-related system configurations, known dependencies, and release-readiness criteria.
UAT & Testing
Participate as a Pricing and Order Operations subject-matter expert in UAT project-managed by Technical Program Management (TPM) and executed under RevOps coordination, ensuring relevant business scenarios and expected outcomes are represented.
Execute assigned Pricing and Order Operations test cases and collaborate with the GTM subject-matter experts identified by RevOps.
Partner with RevOps and relevant subject-matter experts to develop and maintain Pricing and Order Operations test cases, including scenarios for quoting, approvals, signature packets, bookings, marketplace offers, billing, and order management.
Document test results and defects with clear traceability from business requirement to test outcome, and provide domain-specific readiness input through the established UAT sign-off process.
Maintain the Pricing and Order Operations portion of the regression test suite for recurring QTC changes.
Order Operations
Operate under defined business requirements for order operations rules within the QTC flow, validating execution across signature packet generation and e-signature routing, booking rules, marketplace offer configuration—including AWS, Azure, GCP, and Snowflake—and the booking-to-order management handoff.
Partner with IT’s business systems team and the Proposal-to-Order Lead to keep order operations rules aligned with upstream pricing and quoting logic and downstream billing and revenue systems.
Ensure signature packets and marketplace offers accurately reflect the underlying order and pricing terms before execution.
Identify and troubleshoot order operations issues across bookings, signature packets, and marketplace offers, escalating systemic problems to the appropriate system owner.
Skills We’re Looking For
2–3 years of experience in pricing operations, order operations, business systems analysis, or quality assurance within an agile environment, ideally involving quote-to-cash processes.
Working knowledge of Salesforce CPQ and order management or billing systems, with the ability to read and understand configuration logic without necessarily building it directly.
Strong attention to detail and comfort performing structured, repeatable testing work.
Comfort using conversational AI tools—such as Claude, ChatGPT, or internal chatbots—to support daily and project work, combined with sound judgment about when human review or decision-making is necessary.
Clear written communication skills, with the ability to document test cases, defects, and sign-off criteria for technical and business audiences.
A proactive, organized approach, with the ability to work across IT, Pricing and Order Operations, and Sales and Deal Desk with minimal oversight.
Bonus Skills
Exposure to Revenue Recognition or Professional Services systems and processes.
#LI-REMOTE
#LI-MM1
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
$104,036
—
$124,848 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; Oakland, California, United States, AMER; USA - New York
From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven.
About Us
Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data.
Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on.
Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions.
As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact.
During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites.
About the Role
Fivetran is building data pipelines to power the modern data stack for thousands of companies.
We’re looking for a
Senior UX Researcher
to join our rapidly growing Product org. Our ideal candidate has a balance of research rigor and business focus. We value those that hit the ground running, leading by example on projects and collaborating well cross-functionally. You will be diving deep into the daily lives of our customers and applying that understanding to everyday product design decisions.
We appreciate Researchers who are curious, humble, think deeply, speak clearly, and thrive on collaboration and feedback. If this sounds like a good fit for you, send us a hello with links to your work and experience. On day one, this role will report to the Director of UX Research.
This is a full-time, hybrid position based out of our Oakland, CA, Denver, CO or New York, NY offices. Our hybrid work model offers a blend of remote flexibility and in-person collaboration, including two days in the office each week to connect and build as a team.
What You’ll Do
Plan, manage, and execute on user research programs across focused product areas
Collaborate with design, product, and analytics to build research projects that align with stakeholder needs as well as user needs.
Guide product and design on the research methodology, question framing, and other best practices for self-run studies.
Identify emerging customer and user needs to support the development of new products.
Synthesize learnings from past research and analytics data to tell compelling stories and lead ideation sessions.
Skills We’re Looking For
Experience conducting mixed-method qualitative and quantitative research.
A strong portfolio that demonstrates your work, research philosophy, and impact.
An entrepreneurial, self-motivated mindset with a bias toward action and the ability to lead projects through ambiguity.
The ability to craft engaging presentations and compelling stories that influence stakeholders.
A strong desire to understand our users and how our product contributes to their success.
Experience using AI to plan studies, synthesize feedback, and work more efficiently.
Bonus Skills
Experience in the data industry
Experience with various survey methods, analysis, visualizations and relevant data tools like SQL.
#LI-HYBRID
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
$174,391
—
$217,989 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: San Francisco, CA • New York, NY • United States
Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us!
We are looking for a Data Platform Engineer to join our Data Engineering team and help build the foundational systems that power Figma’s next generation of AI-driven products and data experiences.
This is a unique opportunity to be an early engineer shaping Figma’s ML and data platform, enabling everything from self-serve analytics to production-grade AI systems. You’ll work at the intersection of data, infrastructure, and machine learning, building scalable systems that empower Data Science, unlock AI capabilities across the company, and bring data and models closer to the product experience.
This is a full-time role that can be held from one of our US hubs or remotely in the United States.
What you'll do at Figma:
Build and evolve the shared data platform that powers analytics, Data Science, and data-driven product development at Figma
Make data development faster and easier by improving local development, testing, CI/CD, staging, and deployment workflows
Create self-service tools and clear paths for teams to build, deploy, and operate reliable data pipelines
Improve the reliability of critical data systems through better monitoring, data quality, incident response, upgrades, and performance management
Make trusted data easier to find and use by establishing clear definitions, ownership, lineage, and reliability expectations
Partner across Data Engineering, Data Infrastructure, Data Science, Research, Modeling Platform, Security, and Product Engineering to define ownership boundaries and supported patterns for batch, micro-batch, reverse ETL, and product-facing delivery
We’d love to hear from you if you have:
5+ years of experience building and operating production data platforms, developer infrastructure, or distributed systems
Strong software engineering skills (Python or similar), with experience designing reliable and scalable systems
Experience improving developer workflows such as local development, testing, CI/CD, orchestration, or deployment
Experience with modern data infrastructure, such as cloud data warehouses, transformation frameworks, workflow orchestrators, infrastructure as code, and observability tools
A track record of owning shared systems end to end, leading ambiguous cross-functional projects, and communicating effectively with Data Science, Infrastructure, and Product Engineering partners
While it’s not required, it’s an added plus if you also have:
Experience supporting ML or research data workflows
At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.
Pay Transparency Disclosure
Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), market demands, and specific work location.
Figma offers equity to employees, as well as a competitive package of additional benefits, including health, dental, and vision coverage; retirement benefits with company contributions; parental leave and reproductive or family planning support; mental health and wellness benefits; and paid time off. Figma provides paid sick leave, holidays, and other leave benefits in compliance with applicable federal, state, and local laws, including the requirements of the Washington Minimum Wage Act and related regulations. Exempt employees are eligible for employer‑provided paid flexible PTO in addition to flexible paid sick leave. PTO is subject to manager approval. Additional benefits may include company recharge days, cell phone and home internet reimbursements, and a number of lifestyle spending accounts. Figma also offers sales incentive compensation for most sales roles and an annual bonus plan for eligible non-sales roles. All compensation and benefits are subject to applicable plan terms and may be modified by Figma at any time, consistent with applicable law.
Annual Base Salary Range:
$153,000
—
$376,000 USD
At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an
equal opportunity workplace
- we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status
,
or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.
We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to
accommodations-ext@figma.com
. These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities.
Examples of accommodations include but are not limited to:
Holding interviews in an accessible location
Enabling closed captioning on video conferencing
Ensuring all written communication be compatible with screen readers
Changing the mode or format of interviews
To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding.
By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with
Figma's Candidate Privacy Notice
.
Application limits:
To help candidates focus on the opportunities most relevant to their skills and experience, Figma limits the number and frequency of applications. These limits apply to all roles:
Candidates may submit up to 5 applications during any rolling 30-day period.
Candidates may not reapply to the same role while an application is active or within 90 days of receiving a rejection.
Once the applicable days has passed, candidates are welcome to apply again.
About KPI Solutions:
KPI Solutions is a national supply chain consulting and warehouse automation systems integrator, formed in 2021 by merging Kuecker Logistics Group, PULSE Integration, and QC Software. The company specializes in material handling integration and delivers engineered solutions combining automated technologies (MHE, robotics, conveyor, ASRS, AMR/AGV) with intelligent warehouse execution software to optimize productivity and fulfillment speed.
Position Summary:
The Software Deployment Engineer I/II is an individual contributor responsible for end-to-end delivery, configuration, installation, and support of Kommand warehouse execution/control systems and related material handling hardware such as pick-to-light, overhead illuminators, AutoStore, and T-sort integrations. The role includes project-level system configuration, commissioning, installation, upgrades, and live troubleshooting independently across on-site and remote/office phases. This role consolidates hardware installation and commissioning functions previously done by a dedicated Systems Integration & Commissioning team.
Key Responsibilities:
On-Site Delivery:
— Lead software commissioning of Kommand and peripheral hardware systems at customer sites as primary technical owner.
— Full-scope installation of pick-to-light and overhead illuminator systems including wiring, physical installation, configuration, and functional testing.
— Conduct Installation Qualification (IQ) and User Acceptance Testing (UAT) with formal documentation and customer sign-off.
— Sole owner of Kommand and system-level troubleshooting for live production issues during on-site engagements.
Remote / Office Delivery:
— Independently deliver new Kommand installations including application pre-configuration, database scripting, and pre-deployment testing.
— Deliver Kommand version upgrades including SSDT schema comparisons, version control, local pre-install testing, and customer coordination.
— Perform production upgrade execution after business hours to minimize downtime.
— Work on DEV, QA, and Sandbox environments during business hours.
— Validate, diagnose, and remediate defects, escalating rarely.
— Participate in on-call rotation covering Kommand, AutoStore, and T-sort system escalations.
— Provide post-go-live support including system migrations, integration testing with ERP/WMS platforms (e.g., SAP/WMS), and multi-site rollout support.
Project Configuration & Deployment:
— Gather Kommand configurations and system parameters for projects.
— Translate Business Requirements Document and customer conversations into system settings, network spreadsheets, and parameters.
— Educate clients on host interface use.
— Configure Kommand sandbox and production environments for customer testing and go-live.
— Assist with training on new features.
Scope & Independence:
— Sole owner of critical workstreams including new installations, upgrades, and live troubleshooting.
— Requires judgment and technical depth to manage customer-facing delivery, testing, and sign-off without dedicated support.
Requirements:
— Experience commissioning warehouse execution/control software and hardware peripherals.
— Working knowledge of SQL Server environments including SSDT schema comparison and version control.
— Experience with formal software testing methodologies (IQ/UAT) including documentation and customer sign-off.
— Ability to diagnose, troubleshoot, and resolve live production issues under time pressure.
— Comfort or willingness to perform hands-on installation work for pick-to-light and overhead illumination systems.
— Willingness to work after hours and participate in on-call rotation.
— Ability to translate business requirements into structured system configuration.
— Strong customer-facing communication skills.
Preferred Qualifications:
— Experience with AutoStore and/or T-sort systems.
— Experience with ERP/WMS integration testing (e.g., SAP).
— Background in material handling, warehouse automation, or industrial controls.
What we Offer:
— Medical, Dental, Vision Insurance
— Health Care Concierge Service
— 401(k) Retirement Plan (Pre-tax & Roth)
— Company paid Basic Life Insurance, Short-Term and Long-Term Disability
— Voluntary Life & AD&D Insurance
— Voluntary Accident, Critical Illness & Hospital Indemnity Insurance
— Pet Insurance
— Milk Stork Program
— Wellness Program with gift card redemption and challenges
— Paid Time Off (Vacation, Sick & 10 Holidays)
— Training & Development
Equal Employment Opportunity statement included.
About LawnStarter
LawnStarter is the nation's leading on-demand marketplace for lawn care and outdoor services, with over $100M in annual bookings. The company is expanding beyond lawn care to become a one-stop shop for all home services, operating across three brands (LawnStarter, Lawn Love, Home Gnome) on a single shared platform.
About Analytics at LawnStarter
The analytics team supports the entire company including product, marketing, operations, and finance. The data platform includes a centralized Redshift data warehouse, modeled in dbt and orchestrated by Airflow, with Segment feeding event data. The team is mid-migration to Lightdash as the single BI platform, replacing Tableau and Metabase. Currently, data quality, tracking standards, and platform hygiene are side tasks handled by analysts.
The Role
The Analytics Engineering Manager will be the first dedicated person for data governance, responsible for data trustworthiness and the roadmap to improve it quarterly. Responsibilities include ensuring quality and freshness of source data, pipelines, reports, metric definitions, Segment event tracking standards, Lightdash workspace health, data feeding ML models, and data security. The role involves collaborating with product, marketing, ops, and finance to prioritize platform work. It is a hands-on role starting solo, building automation, checks, fixing issues, and establishing scalable processes. Eventually, the manager will hire a Lead Analytics Engineer and grow the function as needed.
Key differentiators of the role:
- First dedicated governance role, reshaping existing standards.
- Owns the data roadmap, discovering business needs and prioritizing work.
- Whole-stack ownership from source data to ML models.
- Leading the migration to Lightdash, setting up permissions and norms.
Responsibilities:
- Develop and manage the data roadmap balancing business needs and platform health.
- Automate monitoring of data quality and freshness, resolve incidents.
- Maintain data lineage and impact analysis to assess downstream effects of changes.
- Administer Lightdash workspace, permissions, and rollout.
- Extend and guard the semantic layer with governed metric definitions.
- Govern Segment event tracking catalog, standards, and drift detection.
- Ensure AI data readiness for internal AI tools querying the warehouse.
- Manage data security, privacy, access controls, and compliance with US state laws.
- Maintain governance documentation, ownership models, and review processes.
Challenges to solve:
- Convert business requests into a prioritized data roadmap.
- Ensure Lightdash migration improves platform usability without dashboard sprawl.
- Complete and maintain a trustworthy semantic layer.
- Manage event-tracking standards and prevent entropy.
- Proactively detect and prevent data pipeline breakages with automation and lineage.
Success metrics for year 1:
- Zero pipeline incidents from unannounced data changes.
- Zero freshness incidents; stakeholders never see stale dashboards.
- All business areas use official, well-maintained metrics and dashboards.
- Every Segment event has an owner and meets standards.
- Governance operates as a documented, sustainable system.
Requirements:
- Passion for data governance as a craft.
- Daily use of AI tools for automation, anomaly triage, and documentation.
- Hands-on manager who codes, debugs, and configures personally.
- Product-minded, able to translate vague requests into prioritized plans.
- Automation-first approach to quality checks.
- Ability to enforce standards with clear rules and good tooling.
Role exclusions:
- Not a large-team leadership role; starts solo with potential to hire one lead.
- Not a policy or committee role; hands-on fixing with code and conversations.
- Not a BI analyst role; focuses on platform and guardrails, not dashboard building.
- Not a mature system babysitting role; involves building and evolving the platform.
Technologies involved:
- Warehouse & pipelines: Redshift, dbt, Airflow
- Ingestion: Fivetran, custom Airflow pipelines
- Event tracking: Segment
- BI tools: Lightdash (primary), Tableau and Metabase (sunsetting)
- AI tooling: Claude Code, Codex, Brain (internal AI toolkit)
- Observability: AI-powered Analytics Engineer agent for monitoring and anomaly detection
Benefits:
- Base salary $75k-$120k/year
- Fully remote with asynchronous collaboration
- Flexible PTO
Equal employment opportunity statement included.
Location: Spain; Romania; Hungary; Portugal; Slovakia; Brazil; Poland; Colombia; Mexico
Workplace: Remote
✨ ONE PLATFORM, A WHOLE WORLD OF OPPORTUNITY
The best jobs have always clustered in a handful of the world's wealthiest cities. But talent is everywhere. Oyster set out to close that gap - building a global employment platform that lets companies hire, pay, and care for brilliant people anywhere.
We're proof that a high-performing culture doesn't need an office. Distributed across 60+ countries since 2020, we've built something the industry keeps noticing:
- Ranked #10 of 250 on TIME and Statista's 2026 list of America's Top WorkTech Companies https://www.oysterhr.com/library/oyster-hr-named-10-of-americas-top-worktech-companies-of-2026-by-time
- Named one of America's Greatest Startup Workplaces 2026 https://www.oysterhr.com/library/oyster-2026-newsweek-award by Newsweek
- A G2 Spring 2026 Leader https://www.oysterhr.com/library/oyster-named-best-roi-for-any-global-employment-platform-for-g2-spring-2026 across Employer of Record, Global Employment, Multi-country Payroll, and HR Compliance
- The only B Corp-certified global employment platform ~ independently verified since 2023
Two of those rankings measured our business impact from the outside. One measured how our own people feel about working here. They landed in the same place ~ because at Oyster, culture and performance aren't separate conversations. They're the same one.
And we're just getting started. If you want to do the best work of your career alongside people who care as much as you do, we'd love for you to apply.
Location: Fully remote. To create the best experience for you and to meet our business needs, this role requires you to be based either within EMEA or Americas.
As a GTM Engineer you'll be the technical operator behind Oyster's revenue engine. You'll build, connect, and automate the software systems that drive pipeline. Turning high-level commercial strategy into workflows that run reliably, without anyone even touching them.
Sitting in Revenue Operations, you'll work alongside GTM Teams. Our GTM stack spans a CRM, enrichment and data providers, outbound tooling, our marketing automation platform, the data warehouse, and Oyster's own product APIs. Your job is to make that a coherent system rather than a pile of disconnected tools: clean data flowing to the right place, leads scored and routed in seconds, and reps working from information they can trust.
AI is a key part of the toolkit - you'll use it across the end-to-end funnel to automate and boost workflows, for things like prospect research at volume, personalisation, and buying-signal detection. Where a traditional ops hire would build a rules-based scoring model, you'll build an agent that reads a prospect's careers page, funding history, and hiring footprint and hands a rep a research brief worth acting on.
The foundation is a strong combination of commercial processes, systems and data - that's where the work lives.
CORE RESPONSIBILITIES
- Design the architecture of the GTM stack: CRM objects and fields, lifecycle stages, territory and routing logic, sync patterns between systems, and the contracts between them.
- Integrate systems end to end: CRM (Salesforce), enrichment providers (Clay, Zoominfo), outbound and sequencing platforms (Nooks, Salesloft), marketing automation (Hubspot), the data warehouse, and Oyster's product APIs (using APIs, webhooks, and scripts rather than waiting for a native connector)
- Ship AI-driven GTM workflows - prompt chains, agents, and signal-detection pipelines that automate prospect research, personalised outreach, and real-time buying-signal alerts and more.
- Optimise our commercial processes. It’s not only about installing Tech & AI, it is also about taking ownership and evolving the ways we generate revenue.
- Build automated data waterfalls that pull, clean, deduplicate, and route prospect and account data into the CRM, so reps work from data they can trust.
- Work in a system that's already live. Reverse-engineer existing processes and the reasoning behind them, identify what to keep versus replace, and land changes through a migration plan that keeps pipeline, reporting, and day-to-day selling intact throughout.
- Instrument what you build: define the metric each workflow is supposed to move, measure it, and evaluate output quality so automations stay trustworthy as they scale.
- Keep the stack maintainable and compliant - sensible data handling, monitoring and alerting on the pipelines or agents you build, documented workflows, and no single points of failure that live only in your head.
- Partner with GTM to translate commercial goals into technical solutions, and be honest about which ideas are worth building.
MINIMUM REQUIREMENTS
- 5+ years in a GTM engineering, Revenue operations, growth engineering, or marketing/sales engineering role, or a software engineering background you've deliberately pointed at revenue problems.
- Clear, proven examples of solutions you've implemented that drove measurable pipeline impact. We'll ask you to walk us through them: what you built, why, and what moved as a result. Specifics matter more than scale
- Deep, hands-on knowledge of the modern GTM stack. You've architected a CRM rather than just administered one: navigating existing processes to own the re-configuration of objects and fields, lifecycle stages, routing and territory logic, and the sync patterns that keep multiple systems consistent. Salesforce or HubSpot, plus enrichment providers, outbound and sequencing tools, marketing automation, and platforms such as Clay.
- You build custom integrations, and can wire up a tool nobody at the company has used before from the docs alone.
- Experience owning production workflows: error handling, retries, idempotency, monitoring, and alerting.
- Working experience using AI/LLMs in a GTM or automation context - prompt and context engineering, and strong judgement to know where a model beats a rule and where it doesn't
- Commercial instinct. You understand funnel mechanics, conversion rates, and unit economics well enough to spot which automation is worth building and which is a distraction
- A bias toward shipping. You prototype quickly, put things in front of real users, and iterate rather than designing in the abstract.
HOW WE WORK TOGETHER AT OYSTER
Our values guide the work we do, the decisions we make, and the culture that makes Oyster what it is. We make it happen—progress is our default setting. We drive change, we build and give trust, and we move as one united team.
Our mission is to create a more equal world of work: helping companies everywhere hire, pay, and care for talent anywhere. Everything we do ladders up to our mission. We embrace asynchronous, collaborative work and share how we operate in the Oyster Public HQ https://oysterhr.notion.site/Welcome-to-The-Reef-Oyster-s-Open-Source-Employee-Guide-fc482e3f107c4afd8c85ed217f1d0c1d so other global teams can learn from us.
HOW YOU WORK
With diverse locations, cultures, and needs, we created How YOU Work; https://oysterhr.notion.site/How-YOU-work-ac16c1932e314ffd8cb693e332458395 a program supporting your whole human experience at Oyster:
- Work from anywhere: Oyster has no borders or HQ. As long as work is timely, your team is supported, and you're authorized to work where you live, you can work from anywhere.
- Paid time off: Enjoy 40 days off per year (including holidays and vacation), or more if required by your country.
- Mental health support: Access Plumm https://oysterhr.notion.site/Plumm-3b5e7e70dec6428e975f68f25972cfb7, our mental well-being service.
- Wellbeing allowance: Each month, receive a wellbeing allowance in your ThanksBen wallet to spend on a wide range of options.
- Flexible parental leave: All new parents are eligible for at least three months’ paid leave, with job protection for up to 12 months or as required locally.
- WFH stipend: Receive a stipend for your laptop and home office equipment to get you set up quickly.
✨ THE BEST JOBS SHOULD BE AVAILABLE TO EVERYONE
We embrace diverse perspectives and intentionally build our product and company with an inclusive, global mindset. We encourage you to apply, even if you don’t meet every criterion, and are committed to a trust-based, thriving environment.
Oyster is committed to ensuring equal opportunity of employment for qualified persons with disabilities and actively fosters an inclusive work environment. If you require reasonable accommodations throughout the recruiting process, please email jobs@oysterhr.com with the subject line: Interview Accommodations.
Our available positions are on our careers page. Our team will only contact you from an @oysterhr.com email, and we will never ask for money as part of an interview process or job offer. If you receive a suspicious email about Oyster jobs or are directed to a site other than www.oysterhr.com/careers http://www.oysterhr.com/careers, please report it via our Compliance and Ethics Helpline https://faceup.com/c/8tpzyyye.
Задачи:
– Разработка и рефакторинг ETL/ELT пайплайнов на pyspark;
– Разработка и поддержка OLAP движков Starrocks/Clickhouse;
– Поддержка текущих пайплайнов на Greenplum и Hadoop;
– Миграция с HDFS на S3;
– Оптимизация spark-приложений.
Требования:
– Опыт работы с Python от 3 лет;
– Глубокое знание SQL и опыт работы с большими данными;
– Опыт работы с Apache Airflow;
– Опыт проектирования и разработки ETL/ELT процессов;
– Опыт работы с колоночными БД (ClickHouse);
– Знание принципов построения Data Warehouse и Data Lake;
– Понимание разницы между OLTP/OLAP системами;
– Уверенная работа c linux и git;
– Понимание процессов ci/cd.
Задачи:
— Сбор, анализ и формализация требований заказчика на доработку информационных систем под нужды бизнеса;
— Участие в проработке архитектурных решений и схем взаимодействий, экспертные оценки реализации;
— Создание и поддержание в актуальном состоянии технической документации, описывающей функциональность информационной системы, постановка задач на разработку;
— Работа с источниками данных и проверка их качества;
— Участие в UAT;
— Аналитическое сопровождение процессов разработки и тестирования;
— Внедрение/сопровождение изменений бизнес-процессов;
— Участие в проектной деятельности компании, взаимодействие с внутренними и внешними проектными командами.
Требования:
— Базовое понимание кредитных лимитов: структура лимита, сублимиты, утилизация, EWS (early warning signal);
— Понимание продуктов казначейства: межбанковские кредиты (МБК), валютные операции (FX/SWAP), ценные бумаги, РЕПО, ПФИ (деривативы) на уровне операционной логики (сделка, позиция, контрагент, портфель, ставка, срок, начисленные проценты);
— Опыт работы с казначейскими системами (Systematica, Murex, Kondor+ или аналоги);
— Будет плюсом: понимание архитектуры DWH (Data Warehouse): витрины, представления (views), ETL, понимание источников и периодичности обновления данных на практике;
— Опыт работы с брокерами сообщений (ActiveMQ, Kafka, Artemis) на уровне постановки задач;
— Знакомство с принципами интеграции через REST API и очереди сообщений;
— Опыт взаимодействия с внешними вендорами в модели заказной разработки;
— Понимание нормативной базы ЦБ в части казначейских операций.
Location: SF or Remote (US/Canada)
At Render, we’re building the modern cloud platform for developers creating AI-native, full-stack, multi-service applications. Our mission is to eliminate the tradeoff between the power of hyperscalers and the simplicity of developer-friendly platforms—so teams can ship fast, scale reliably, and focus on their product, not infrastructure.
Unlike complex hyperscalers or ephemeral edge/serverless solutions, Render offers a developer-first experience with persistent compute, dynamic autoscaling, built-in orchestration, and observability, allowing teams to launch, scale, and manage real-world applications without writing infrastructure code or managing servers. Whether you're building LLM-powered applications, scalable SaaS products, or async processing pipelines, Render empowers teams to move fast and scale confidently from MVP to millions of users.
Our platform is trusted by over 7 million developers worldwide and continues to grow rapidly. In February 2026, we raised an additional $100M in Series C financing, bringing our total funding to $260M, to accelerate our vision of making cloud infrastructure both powerful and intuitive—designed for the speed of modern AI development.
We’re a diverse and talented team that values craft, velocity, and user experience. If you’re excited to help shape the future of the intelligent cloud and empower developers everywhere, we’d love to hear from you.
APPLYING TO RENDER
We're seeking candidates who possess high integrity, humility, and an insatiable drive to learn. Through reasoned discussions and continuous feedback, we strive to improve both individually and collectively. We foster an environment of mutual trust and respect, empowering effective debate to achieve the best outcomes for our customers and team.
We especially encourage members of underrepresented groups in the tech community to apply and understand that not all successful candidates will meet each requirement listed.
Our interview process is unique to each role, and we value the candidate experience just as much as our customer experience. We hope your conversations with us reflect a thoughtful process that is illuminative, enjoyable, and respectful of your time.
ABOUT THE ROLE
We're looking for a Senior/Staff Analytics Engineer to join our growing Data team and lead the evolution of our Analytics Engineering platform. As Render scales, you'll build the foundations that turn raw data into trusted, reusable models for analytics, executive reporting, and AI-assisted decision-making.
In this role, you'll partner closely with analysts, scientists, data engineers, and teams across Product, Engineering, Growth, Go-to-Market, Finance, and other business functions. Analysts and scientists will bring domain expertise and own business logic within their areas; you'll own the technical architecture, modeling standards, and engineering practices that help that work scale reliably.
As a Senior/Staff-level individual contributor, you'll set the technical direction for Analytics Engineering at Render—strengthening data quality, improving the developer experience, and building semantic and context layers that make data easier to discover and use. You'll help teams move faster with consistent metrics and maintainable models they can trust.
WHAT YOU'LL DO
- Own our Analytics Engineering architecture. Guide the long-term evolution of Render’s Analytics Engineering platform, strengthening foundational models so our data remains trusted, scalable, and ready for AI-assisted analytics.
- Build trusted, reusable data models. Design, build, and maintain governed dbt models that serve as authoritative sources for business-critical metrics across Product, Engineering, Growth, Go-to-Market, Finance, and other teams.
- Establish engineering standards. Define and improve practices for data modeling, testing, documentation, version control, CI/CD, and code review. Review high-impact dbt changes and reduce technical debt across the analytics codebase.
- Enable self-service and AI-assisted analytics. Design and maintain semantic and context layers that make metrics consistent, data discoverable, and analysis reliable for both people and AI tools.
- Partner closely with analysts and scientists. Help analysts and scientists translate domain-specific business logic into scalable, maintainable warehouse models, moving shared logic out of individual reports and dashboards and into governed datasets.
- Improve reliability and efficiency. Partner with Data Engineering to strengthen source data quality, warehouse architecture, and BigQuery performance and cost efficiency.
- Raise the bar for Analytics Engineering. Mentor analysts, scientists, and analytics engineers on dbt development, dimensional modeling, and engineering best practices, and help teams adopt shared standards.
WHAT WE'RE LOOKING FOR
- 7+ years of experience in Analytics Engineering, Data Engineering, or a related technical field, including at least 3 years of hands-on experience running dbt in production.
- Expert-level SQL skills and a track record of designing and owning scalable Kimball dimensional models.
- Deep expertise in modern Analytics Engineering practices, including Git, testing, CI/CD, documentation, data contracts, lineage, and governance.
- Experience building semantic and context layers, trusted metrics, and warehouse architectures that support self-service analytics for humans and AI agents across multiple business domains.
- Strong understanding of modern cloud data warehouse architecture, performance optimization, and cost efficiency, with experience in platforms such as BigQuery, Databricks, or Snowflake.
- A track record of establishing technical standards, influencing engineering practices without formal authority, and improving reliability while reducing technical debt.
- Proven ability to partner closely with analysts, scientists, and business stakeholders to translate requirements into scalable, maintainable data models.
- Excellent communication skills. You can explain complex technical concepts and tradeoffs to technical and non-technical audiences and build alignment across teams.
- Experience building data models that connect product usage, acquisition, CRM, and financial data across the customer lifecycle.
- Experience using AI-assisted coding or analytics tools such as Codex, Cursor, or Claude Code to accelerate data modeling, testing, documentation, or exploration.
NICE-TO-HAVES
- Hands-on experience with Render’s analytics stack, including BigQuery, Segment, dbt, and analytics tools such as Metabase or Mixpanel.
- Experience with developer-focused, product-led, sales-led, or usage-based businesses.
- Knowledge of cloud infrastructure, PaaS, developer tooling, or other technically complex products.
If this role excites you but you don’t meet every single requirement, we’d still love to hear from you—your unique experience might be just what we need.
BENEFITS
- 4 weeks of paid vacation.
- 14 weeks of fully paid parental leave for all parents to bond with a newly born, adopted, or fostered child. We will also work with you to create a supportive plan of return.
- Long-term disability, life insurance, and 401K plans.
- 100% employer-paid medical coverage and 99% employer-paid dental and vision coverage for you and a dependent. FSAs and HSAs are available as well.
- Monthly lifestyle stipend for wellness, mental health and therapy, hobbies, etc.
- Monthly cell phone and internet subsidy.
- Commuter benefits for Renders in the Bay Area, and home office stipends for remote Renders.
- Continuous learning benefits & related support.
This position is generally not eligible for new visa sponsorship. At Render's discretion, the business may sponsor existing visa transfers. Applicants who require sponsorship must receive business authorization.
Render is an equal-opportunity employer. We know that employing a team rich in diverse thoughts, experiences, and opinions allows our employees, product, and community to flourish. We make all employment decisions including hiring, evaluation, termination, promotional, and training opportunities, without regard to race, religion, color, sex, age, national origin, ancestry, sexual orientation, physical handicap, mental disability, medical condition, disability, gender or identity or expression, pregnancy or pregnancy-related condition, marital status, height and/or weight.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
We encourage all who are interested to apply. We can't wait to hear from you!
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Location: Remote, Washington, 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 the team
dbt Labs' West + Central enterprise sales org drives new logo and expansion revenue across the region's largest data and analytics organizations. This RD role leads the PacNW and Bay Area territory, a mix of established enterprise accounts and high growth prospects, and reports directly into the Regional Vice President of Sales.
What you'll do
Manage and coach a team of enterprise account executives selling into PacNW and Bay Area accounts, with a focus on pipeline generation, forecast rigor, and deal progression
Own territory planning and account segmentation across new logo and expansion motions
Partner cross-functionally with solutions architecture, customer success, and professional services to drive full-funnel execution
Represent the territory in weekly forecast and pipeline reviews with the AVP
Recruit, hire, and ramp new account executives as the team scales
Build and reinforce a consistent sales methodology, including discovery, MEDDIC-style qualification, and competitive positioning
Get directly involved in strategic deals, escalations, and executive relationships where needed
What we're looking for
3+ years of experience managing enterprise or strategic account executives, ideally in data, analytics, or infrastructure software
A track record of building and scaling teams that consistently hit or exceed quota
Strong forecasting discipline and comfort operating in a fast-moving, matrixed post-merger environment
Experience selling into complex, technical buying committees (data platform leaders, analytics engineering teams, CDOs)
Familiarity with the dbt platform and modern data stack is a strong plus
A coaching-first management style, with the ability to also step into deals as a player when the situation calls for it
Based in or willing to be based in the Bay Area or Pacific Northwest, with regional travel expected
OTE (On Target Earning)
$270,037.50
—
$337,546.50 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.
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Обязанности:
• Участвовать в полном цикле работы с гипотезами: от приоритизации бэклога и проведения A/B-тестов вместе с Data Scientists.
Требования:
• Опыт работы с BI-инструментами, например, FineBI, Tableau или Power BI.
• Понимание принципов машинного обучения и метрик качества моделей.
• Опыт взаимодействия с Data Warehouse (DWH).
Location: Bengaluru, Karnataka, India, APAC
From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven.
About Us
Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data.
Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on.
Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions.
As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact.
During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites.
About the Role
We’re looking for a talented Senior Software Engineer with a passion for building enterprise grade software to join the team. You will be focusing on developing world-class enterprise capabilities and features in support of our largest and most sophisticated customers. The work we do is both highly visible and critically important to the long term growth and success of Fivetran. You will have an impact across the entire product as we develop our next generation of enterprise, data governance, and solutions engineering offerings.
This team is tasked with evolving a high performance extract-load-transform data integration system that enables our connector teams to ship the Fivetran ELT product using powerful abstractions. The role will challenge you to solve problems in the domains of performance engineering, data security, and cluster orchestration. You don’t necessarily need to be a subject matter expert before you join us (you will be one before you leave!).
We're looking for people who can understand the key values that make our product great and implement those values in the many small decisions you make every day.
This is a full-time position based out of our Bangalore office
Technologies You’ll Use
Java
SQL
Bazel, BuildKite, Docker, Kubernetes, Github
AWS, GCP, Azure
Postgres database
What You’ll Do
Design and implement features and performance improvements to create highly scalable distributed data pipelines on the cloud
Develop, maintain, and test code
Conduct design and code reviews
Collaborate with peers, product managers, customer support, and other stakeholders to deliver the best product with high quality, performance, and scalability.
Understand and fix challenges related to performance and scalability.
Participate periodically in on-call rotation
Participate in the hiring process
Mentor Junior developers
Make Fivetran the most reliable and secure component of our customers’ data infrastructure
Skills We’re Looking For
5+ years of experience in the software industry with a passion for solving complex software engineering problems.
Software engineering foundation - experience designing and developing reusable libraries and experimentation platforms for backend and frontend from scratch leveraging industry best practices.
Experience working with distributed systems and cloud security concepts
Demonstrated ability to write well-structured and performant code
Ability to lead software and infrastructure design to satisfy project requirements
Can identify design flaws in existing systems and come up with improvements
Experience in code reviews, design, troubleshooting and testing
Experience programming in an object oriented / systems language such as Java, C++, C# etc
Hands-on experience working with any cloud technologies(AWS, GCP, Azure) and containerization methodologies like Docker, K8s.
Experience interacting with continuous integration tools like Buidkite.
Knowledge of observability tools like New Relic/Grafana is a plus
Knowledge of Data Engineering is a plus
Optional (Bonus Skills)
Experience in data processing (ETL, ELT) and/or cloud-based platforms.
#LI-HYBRID
#LI-PE1
Perks and Benefits
100% employer-paid medical insurance
*
Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off.
RSU stock grants*
Professional development and training opportunities
Company virtual happy hours, free food, and fun team-building activities
Monthly cell phone stipend
Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents.
*
May vary by country and worker type - please reach out to your recruiter for more information
Click
here
to learn more about Fivetran's Benefits by Region.
We’re honored to be
valued at over $5.6 billion
, but more importantly, we’re proud of our
core values of Get Stuck In, Do the Right Thing, and One Team, One Dream
. Read about us in
Forbes
.
Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities.
To learn more about Fivetran’s culture and what it’s like to be part of the team,
click here
and enjoy our video.
To learn more about our candidate privacy policy, you can
read our statement here
.
We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this
form
. We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.
Location: Remote - Global
Workplace: Remote
About the company
Trust Wallet is the secure, self-custody Web3 wallet that empowers people to own and control their digital assets. Whether you're new to crypto or an experienced user, Trust Wallet makes it easier, safer, and more convenient to explore Web3, securely access dApps, manage your crypto, and buy and sell digital assets, all in one place.
Job Scope:
- Own the data platform roadmap - Define and deliver the product roadmap for our data platform — covering data ingestion, on-chain data parsing, metrics frameworks, data-as-a-service, and data asset management — turning scattered data capabilities into reusable platform products.
- Build on-chain data capabilities - Lead multi-chain data ingestion and parsing (EVM, Solana, Bitcoin, Cosmos, etc.). Define standardized parsing logic for transactions, transfers, contract calls, and DeFi interactions. Drive the buildout of address labels, protocol labels, and transaction attribution.
- Own token and market data - Own the selection and governance of token metadata, pricing, and liquidity data sources. Establish source priority, fallback, and cross-validation mechanisms across CEX, DEX, third-party aggregators, and in-house indexers. Be accountable for data accuracy, coverage, and latency.
- Serve downstream consumers - Partner with business, growth, risk, and BI teams to package data capabilities into APIs, datasets, and self-serve analytics tools that cut the cost of getting answers.
- Data quality and governance - Build monitoring, metric definition management, and incident response processes. Eliminate the "same metric, five definitions" problem.
- Cross-functional execution - Work closely with data engineering, backend, algorithm, and BI teams on requirement breakdown, prioritization, and delivery.
Requirements:
- 5-8 years in product management, including 3+ years on data platforms, data infrastructure, or internal data products
- Hands-on Web3 experience (wallet, exchange, L1/L2, data provider, DeFi protocol) with real understanding of the business and user behavior
- Practical knowledge of on-chain data: blocks, transactions, event logs, internal transactions, and the differences between UTXO and account models; familiarity with the data structures and parsing challenges of major chains
- Familiarity with the token data landscape — the strengths, limitations, and appropriate use cases of CoinGecko, CMC, Chainlink oracles, DEX pool pricing, and similar sources
- Solid grasp of data warehouse layering (ODS/DWD/DWS/ADS), metrics frameworks, and event tracking design
- Able to read and write SQL; can pull and validate data independently
Nice to Have
- Built a data platform from zero to one
- Experience with Dune, The Graph, Nansen, Covalent, Etherscan APIs, or similar tooling
- Working knowledge of Flink, Spark, ClickHouse, or Airflow — enough to hold a technical design discussion with engineers
- Experience commercializing data products or running external data services
ADDITIONAL INFORMATION
This is a global and fully remote role. You must have the right to work for the country you are based.
WHY WORK AT TRUST WALLET?
- Be a part of the world’s leading blockchain ecosystem that continues to grow.
- Excellent learning and career development opportunities.
- Work alongside diverse, world-class talent, in an environment where learning and growth opportunities are endless.
- Tackle fast-paced, challenging and unique projects.
- Work in a truly global organization, with international teams and a flat organizational structure.
- Work fully remotely with flexible working hours.
- Enjoy competitive salary and benefits.
Apply today to join our team in building the world’s most trusted and secure crypto wallet and enable a decentralized future for everyone.
Trust Wallet is committed to being an equal opportunity employer. We believe that having a diverse workforce is fundamental to our success.
*Due to the large amount of the applications, please consider your application as unsuccessful should you not be contacted within 4 weeks from your application date.
Location: Dublin, Dublin, Ireland, EMEA
From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven.
About Us
Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data.
Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on.
Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions.
As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact.
During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites.
About the Role
Fivetran is building data pipelines to power the modern data stack for thousands of companies.
We’re looking for a high-performance, experienced engineer to be a part of a team of Site Reliability Engineers. You will be working closely with engineering teams, product managers, as well as support, sales engineers and solution architects to build the future of the Fivetran Data Platform Reliability.
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
Cloud Service Providers(CSPs): AWS, Azure and Google Cloud
Kubernetes: Managed Kubernetes services (EKS, AKS and GKE)
Continuous Integration tools: github actions, Buildkite
Continuous Delivery: ArgoCd
Databases: Postgres and all the major Databases
Languages: Go, Java
Scripts: Typescript, Python, Shell
IaC: Terraform and Pulumi
RESTful API: FastAPI
Cloud networking: Privatelinks in Azure and AWS, Private service connect in GCP and site-to-site VPN tunnels in all 3 major cloud service providers - AWS, Azure and Google Cloud
What You’ll Do
As a member of the Site Reliability Engineering team, you will take ownership over the overall performance and reliability of Fivetran’s infrastructure, the robustness of the deployment pipeline, as well as timely and effective incident response and resolution. You will take responsibility for the growth and stability of Fivetran’s infrastructure, and be a key player driving effective incident response and overall issue avoidance.
Responsible for ongoing reliability and robustness of Fivetran’s production infrastructure by monitoring availability, capacity, and throughput.
Evolve systems by adding reliability into our product roadmap
Coordinate the re-prioritise or fix critical bugs for support or sales requirements as needed
Make recommendations to production infrastructure by interfacing with engineering to ensure 100% availability
Ensure scalable artifacts deployment to all environments by automation scripts
Constantly monitor infrastructure vulnerabilities and remedy them by working with the security team
Skills We’re Looking For
Expertise in managed Kubernetes (EKS, AKS, and GKE).
Knowledge of Cloud Platforms and related tooling: AWS, Azure, Google Cloud (GCP), Terraform, Ansible, Buildkite, Pulumi and ArgoCD.
Experience in Python/Shell scripting and Go Language. Bonus if you have Java.
Experience with Linux operating systems internals and administration
Experience with cloud networking like Site-to-Site VPNs, Privatelinks and Private Service connect (GCP)
AI-assisted engineering: Experience using AI tools for code review, automation, incident analysis, documentation, and reducing operational toil.
Bonus Skills
5+ years of experience working with SaaS products at scale
Experience with databases such as PostgreSQL
#LI-IM1
#LI-HYBRID
Perks and Benefits
100% employer-paid medical insurance
*
Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off.
RSU stock grants*
Professional development and training opportunities
Company virtual happy hours, free food, and fun team-building activities
Monthly cell phone stipend
Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents.
*
May vary by country and worker type - please reach out to your recruiter for more information
Click
here
to learn more about Fivetran's Benefits by Region.
We’re honored to be
valued at over $5.6 billion
, but more importantly, we’re proud of our
core values of Get Stuck In, Do the Right Thing, and One Team, One Dream
. Read about us in
Forbes
.
Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities.
To learn more about Fivetran’s culture and what it’s like to be part of the team,
click here
and enjoy our video.
To learn more about our candidate privacy policy, you can
read our statement here
.
We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this
form
. We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.
Location: Paris, France; Marseille, France; Bordeaux, France; Biarritz, France; Brussels, Belgium
HEALTH CAN’T WAIT.
Not for symptoms to get worse. Not for a six‑month appointment. Not for a system to catch up. But that’s exactly how healthcare works today. You wait, until you can’t.
Alan exists to end the wait.
Health is a universal right, and we believe this right can only become real when it’s coupled with prevention. We need to stop treating health as something we repair and start treating it as something we build, every day. It’s not solely a question of willpower. It’s the healthcare system itself that needs to work for everyone, in a sustainable way.
So we are building the new standard in prevention insurance. Alan is the first company that integrates insurance, prevention, and care into a single, acclaimed user experience.
We are on an incredible journey to build a global leading company, with a unique culture https://alan.com/en/careers. We already partner with 40K+ companies of all sizes, serving more than 1M+ members, and have reached €800M+ in ARR.
Prevention as the new norm. That's what we're building with our team of 1000+ people. If it speaks to you: we're hiring across France, Spain, Belgium, and Canada. And beyond.
⭐️ THE DATA FOUNDATIONS TEAM ⭐
At Alan, every decision we make about our members' care, contracts and claims is a data decision. The Data Foundations team builds the platform that makes those decisions possible in a safe way.
- Being part of the Data Foundations team means you’ll build, maintain, and improve the Data Platform used by everyone at Alan.
- We enable Alan’s data-driven nature and help our colleagues make the most of their data.
- Partner closely with people across Alan (technical and non-technical) to understand their needs and build data solutions they can trust and use effectively.
- We own and manage all data-related tools that power Alan.
- AI is changing the way companies work with data: agents are becoming first-class users of our data warehouse. It opens a world of new usage and exciting features, as well as concerns around security, data quality and governance. We are building the foundations that allow Alan to make the most of this exciting new paradigm.
- Alan is expanding quickly: we went from 4 to 6 countries this year and we won’t stop there. Our objective is to onboard new countries in weeks, not months. Having strong data foundations is a cornerstone of that expansion, allowing our teams to make sense of a patchwork of insurance systems, regulations and reporting rules.
- Examples of our missions:
- improve the developer experience when building and maintaining data pipelines,
- enable reliable and secure access to our data warehouse for Alaners and AI agents,
- strengthen security and governance around our data assets,
- define and implement standard data practices across Alan,
- maintain and evolve our core data infrastructure to accommodate Alan's international expansion and growing product breadth…
- Our core tools include Python, Airflow, Snowflake, AWS/GCP, Metabase, Terraform, dbt, and others.
- Who you'll work with: Data Foundations is a small, high-leverage team inside the Tech Foundations area, whose mission is to enable product crews through world-class infrastructure, developer experience, operational excellence, and built-in security. You'd be joining as one of its core engineers, working daily with the whole Data community at Alan.
🎯 EXPECTED SKILLS AND ABILITIES
You would thrive at Alan if most of this sounds like you:
- Passionate about owning ambitious problems and developing simple solutions for them.
- 3+ years of experience demonstrating impact in Data positions. We welcome candidates from early-career to highly experienced profiles. You may already have strong expertise in Data Engineering, or be an experienced data or software engineer looking to deepen your specialization in this area.
- Experience building and operating production data infrastructure: orchestration (Airflow or similar), a cloud data warehouse, infrastructure as code.
- Experience designing systems, tools or libraries used by other engineers, scientists or analysts.
- Proficient in Python and SQL. Setting a high standard of rigor and precision for yourself, interested in your craft.
- Curious about AI and eager to use it thoughtfully to increase your impact.
- Great listening and communication skills.
- Humble, kind, collaborative, and still willing to grow (no matter your seniority!).
- Fluent and clear in English, both oral and written (no need to speak French!).
For this role, we are looking to hire within the C0-E level range https://alan.com/en/careers/a/salary-equity.
⚙️ IMPORTANT NOTE: WE HIRE PEOPLE, NOT ROLES.
If you're excited about this opportunity but don't check every box, we'd love to hear from you. Everyone, no matter how underrepresented, should feel free to apply, as it can only bring learning or success.
If you identify yourself as a woman: Did you know that research shows women often apply only when meeting 100% of requirements?
Remember, this is just a guide, not a checklist.
We'll be thrilled to receive your application!
🔖 Check out our About Alan https://alan.com/about and Career https://alan.com/careers pages, as well as our Medium https://medium.com/alan, blog https://blog.alan.com/ and Glassdoor page https://www.glassdoor.com/Overview/Working-at-Alan-EI_IE1696043.11,15.htm for more info.
YOU WANT TO KNOW MORE ABOUT ALAN?
- 🙌 Perks & Benefits https://alan.com/en/careers/a/salary-equity: Alaners are provided with a stimulating environment and perks ensuring they are happy, efficient and spend only high-quality time with co-workers.
- 🤘 A strong culture https://alan.com/en/about/a/leadership-principles: People joining Alan are often surprised and delighted by our innovative working method. We have a set of cultural values that guide our approach to work
🔄 A quick note about the process
Note: While you're applying for a specific area, you may join a different engineering team based on where we think you'll have the most impact. Check out descriptions of other areas here https://www.notion.so/Software-Engineering-Areas-Alan-2c61426e8be7805bacd2cdbc08c32640?pvs=21.
#LI-DNP
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Управление вакансиями скоро появится
Скрытые компании и отметки о просмотре ещё не подключены.
Задачи:
— тестирование ETL / data pipelines
— валидация данных по цепочке source → warehouse → semantic model
— проверка aggregations, measures и business rules
— тестирование BI / analytical solutions
— regression testing
Требования:
— 3–5+ лет в QA, желательно Data / BI
— сильные знания SQL
— опыт тестирования ETL / data pipelines
— понимание dimensional data models
— опыт работы с Jira / Azure DevOps
— будет плюсом опыт с SSAS Tabular / Power BI DAX
— опыт автоматизированного тестирования данных на Python
— опыт работы с Azure / Microsoft Fabric
— опыт в страховой или финансовой сфере
Условия:
— работа в офисе в Омане с обязательной релокацией
— зарплата $4,500–5,500 в месяц
Ищем по профилям Data QA Engineer / ETL QA Engineer / BI QA Engineer / Data Test Engineer / Power BI QA.
ОфисmiddleОман
УдалённоseniorГеография найма не уточнена
Denver, Colorado, United States, AMER
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