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Location: United States (Remote) Workplace: Remote ROLE SUMMARY We're looking for a senior software engineer to join a high-impact team building the systems that power Temporal Cloud's customer experience at scale. Our team owns some of the most critical surface area in the product — Namespaces https://docs.temporal.io/cloud/namespaces, Audit Logs https://docs.temporal.io/cloud/audit-logs, and Export https://docs.temporal.io/cloud/export. Namespaces are the core unit of isolation within Temporal Cloud, providing security boundaries, workflow management, unique identifiers, and dedicated gRPC endpoints. Audit Logs and Export give customers reliable access to the operational and compliance data they depend on. In this role, you'll work on a new initiative, set technical direction and build systems that directly shape how customers provision, operate, and extract value from Temporal Cloud. You'll partner closely with engineers, product managers, and solutions architects to design resilient architectures, drive cross-functional execution, and raise the bar on reliability and scalability for our most critical features. If you thrive on ambiguous, high-leverage problems and take pride in building durable systems that grow with the business, we'd love to meet you. WHAT YOU’LL DO - Lead the Design of Business-Critical Systems: Own end-to-end technical design and delivery for the services that power namespace scalability, reliability, and the customer data products built on top of them. - Bridge Instrumentation and Product Value: Partner with analytics and product engineers to ensure what gets collected actually powers meaningful customer insights; translate business questions into durable event schemas that outlast the feature that introduced them. - Architect Data Pipelines for Scale and Correctness: Define and evolve our data pipeline architecture for high-throughput usage and operational data; make principled tradeoffs across data freshness, query cost, tenant isolation, and fault-tolerance. - Drive Data Quality as a First-Class Concern: Establish schema contracts, pipeline-level anomaly detection, and alerting for silent failures — holding the line on data correctness before bad numbers reach customers. - Raise the Engineering Bar: Set quality standards through code and design reviews; introduce patterns and tooling that improve maintainability, observability, and incident response across the team. - Mentor and Multiply Impact: Grow the engineers around you, unblock execution, and foster a culture of ownership, learning, and pragmatic excellence. - Improve Developer and Customer Experience: Identify opportunities to streamline customer flows via automation, better tooling, and targeted platform improvements that reduce friction and support load. TECHNOLOGY STACK - Primary Language: Go - Data Storage: PostgreSQL, Redshift, S3, Google Cloud Storage, Azure Blob Storage - Data Warehouse: Snowflake, Databricks, Clickhouse, Big Query - Data Processing: Kinesis, Firehose - Infrastructure: Kubernetes - Core Framework: Temporal (of course 😉) WHAT YOU’LL BRING - Deep experience designing and delivering production-grade backend systems in cloud environments, with direct ownership over architecture and operational outcomes — including what happens when things go wrong. - Strong proficiency in at least one systems or backend language (Go preferred), with the ability to navigate large codebases and drive technical decisions with confidence. - Hands-on experience building and operating distributed systems: concurrency, reliability, scaling, consistency, and failure handling in production. - Solid experience with data pipelines and storage systems (Postgres, Redshift, Kafka/Kinesis, S3-compatible storage, Clickhouse) and a track record of ensuring correctness and traceability at scale. - Experience with production operations: observability, incident response, performance tuning, on-call readiness, and continuous delivery. - Ability to work effectively across functions — translating ambiguous requirements from product managers and solutions architects into clear, executable technical plans. - Strong written and verbal communication: you write crisp design docs, align stakeholders on tradeoffs, and can explain a complex system to someone who didn't build it. - A builder's mindset: you enjoy simplifying complex workflows, improving tooling, and leaving systems better than you found them. WHAT YOU CAN EXPECT - High-impact ownership over systems tied directly to revenue, customer lifecycle, and platform scalability - Collaborative engineering culture focused on quality, pragmatism, and measurable outcomes - Exceptional technical colleagues and a feedback-rich environment - Lean processes and autonomy without unnecessary bureaucracy - Strong emphasis on reliability and operational excellence—balanced with rapid iteration - A team that values mentorship, thoughtful design, and steady improvements that compound over time Temporal Technologies is an Equal Opportunity Employer. Temporal Technologies does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status, or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need. We embrace and celebrate differences and diversity. Temporal is committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. If you need to request a reasonable accommodation, please let your Recruiter know so we can assist.

Location: Remote, California, United States, AMER From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About Us Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data.Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on.Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions.As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites. About the Role We’re looking for a talented Senior Sales Engineer to join our Enterprise, Existing Business sales team. As an Enterprise Sales Engineer, you will work closely with our sales team to understand our Enterprise customers’ complex business needs and showcase how Fivetran’s data replication solutions can help them achieve their desired business outcomes. You will be responsible for providing technical expertise, identifying technical requirements, and supporting a regimented proof-of-value process throughout the sales cycle. This is a full-time, remote position based in US. Technologies You’ll Use AWS, GCP, Azure, Snowflake, BigQuery, Databricks, Kafka, Grafana Linux, Windows, Python What You’ll Do Work with Enterprise customers to understand their business, their use cases, and their data replication and data transformation requirements Work cross functionally with your internal counterparts (AEs, Professional Services, BDRs, marketing, and support) to build and maintain a holistic account ownership plan Develop and deliver technical presentations to Enterprise audiences Ensure the technical win by running a tight proof-of-value process Work closely with Fivetran+dbt’s Product and Engineering teams to ensure alignment of our solutions to Enterprise customer needs Develop and maintain relationships with key Enterprise customers and partners Stay up-to-date on the latest technologies and trends in our industry Skills We’re Looking For 5+ years in one of the following areas: data replication, data practitioner, data operations, analytics, sales engineering, or related technical field Proven ability to work cross-functionally to support large enterprise customers Strong technical background covering data replication, cloud infrastructure, data replication technologies, and/or database administration Experience with modern data analytics technologies, including cloud data warehouses, transformation tooling, data catalogs, and BI tools Excellent communication and presentation skills with a keen ability to explain complex technical concepts to both technical and non-technical stakeholders Strong problem-solving and analytical skills Bonus Skills Experience with Oracle, SQL Server & SAP databases Basic python competency and advanced SQL knowledge Hands on experience with other data replication or ETL tools Experience with self-hosted software applications and supporting infrastructure Hands on networking experience both in the cloud and on-premise Compensation & Benefits The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role. For this role, on-target earnings (OTE) are split 70% base salary and 30% variable compensation. Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process. OTE (On Target Earning) $218,491.87 — $303,462.32 USD Perks and Benefits 100% employer-paid medical insurance * Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. * May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes . Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here . We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.

Задачі: — створювати й підтримувати інтерактивні Power BI dashboards та reports; — аналізувати бізнес-вимоги та перетворювати їх на BI-рішення; — будувати й оптимізувати data models; — працювати з даними та оптимізувати SQL queries; — презентувати результати й insights стейкхолдерам. Требування: — сильні знання DAX, Power Query, Data Modelling та RLS; — досвід із Microsoft Fabric та Fabric Dataflows; — знання SQL; — вміння переводити бізнес-потреби в ефективні BI-рішення; — англійська B2+. Буде плюсом досвід із Databricks, SharePoint Online та SharePoint Lists. Умови: — міжнародні проєкти для відомих компаній; — можливість працювати remote або з офісу у Львові; — персональний development plan та менторинг; — курси англійської та польської; — офіційне працевлаштування та кар’єрний розвиток.

Location: Bengaluru, Karnataka, India, APAC From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About Us Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. ​ During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites. About the Role We’re looking for a Senior Software Engineer for our data pipeline service to build and work on data pipelines that moves data from various sources to data warehouses. The work is very diverse — all the way from patching software to building warehouse data writers, to optimizing the behavior of sync services operating on our global Kubernetes compute cluster. You will be responsible for ensuring the technical excellence for your team and owned services, by contributing to the code, reviewing code, designing features and mentoring our junior colleagues. You will understand the key values that make our product great, and implement those values in the many small decisions you make every day as a product designer. Technologies You’ll Use Java, PostgreSQL, Cloud Data Warehouses, AWS, GCP, Azure, Temporal, Grafana , Kubernetes, Docker What You’ll Do Work on core features of the product, systematic enhancements, and bug fixes Write new or optimize the existing data writer platform to load data to warehouses You'll be working with Cloud APIs, Datawriters, SQL DBs, SQL Warehouses, etc You'll be working on the core data pipeline that moves terabytes of data from all our customer sources to data warehouses by processing data, splitting it into files formats like CSV/AVRO/Parquet, merging and loading to warehouses. As a senior engineer in the team, you will own and drive features within the technology team, pitch design ideas, work closely with leads in the team to perform design reviews, and contribute directly to code. Skills We’re Looking For Strong technical and problem-solving skills with 5+ years of professional experience writing Java code in the distributed production environment Experience in reliable data intensive distributed systems, with an emphasis on high-volume data management platforms that operate under strict SLAs Understanding complex SQL merge queries, plans, and their best practices Robust and reliable system design skills to satisfy project feature requirements and optimise the existing systems Strong troubleshooting skill to debug problems with in existing code, connect the dots, come up with detailed RCA Understand how to use AI code assist and coding agents to automatically generate code for features, bugs, testing, and investigation Ability to use conversational AI systems (like Claude, ChatGPT, and internal chatbots) to support researching, authoring, reviewing, and synthesizing various SDLC artifacts such as TDDs, PRDs, Postmortems, Test Plans, and Proposals Bonus Skills​ Experience with Data Warehouses like BigQuery, Databricks, SQL Like with exposure to their internals Experience in data processing (ETL, ELT) Experienced working in a cloud environment utilizing AWS, GCP, Azure, Kubernetes, Docker, BuildKite, or similar technologies. #LI-AV1 #LI-HYBRID Perks and Benefits 100% employer-paid medical insurance * Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. * May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes . Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here . We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.

Location: USA - Austin (dbt) From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About Us Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites. About the Role We are looking for a Global Head of Deal Strategy and Operations to lead the worldwide deal function for a rapidly scaling data and analytics business formed by the combination of Fivetran and dbt Labs. This is a commercial strategy role as much as an operational one with a mandate to make our deals bigger, better, and faster. The leader owns the deal structures, pricing inputs, policies, and governance that drive more revenue and higher ASP, cleaner and lower-risk terms, and real velocity across every region and segment, while de-risking the business. This is a pivotal role at a pivotal moment. The business is integrating two commercial engines, two product portfolios, and two sets of systems into a single combined go-to-market. The role sets the strategy for how deals get structured, priced, routed, reviewed, and approved, and acts as a key commercial advisor to GTM leadership on the structures that drive growth, including ELA and commercial strategy, cross-sell, and new product launches. It leads a global team across the Americas, EMEA, and APAC and partners closely with Sales, Finance, Legal, Product, Systems, Pricing, and Partner Marketplace to keep decisions fast, consistent, and scalable. This leader is an equal part strategist, operator, and trusted business partner. The ideal candidate moves fluidly between long-term commercial strategy and hands-on problem solving, has a proven track record scaling a deal function in a global, complex, high-growth SaaS environment, and leads teams through change with clarity and conviction. Reports to the SVP, Strategy and Operations. This is a full-time, hybrid role based in one of our hub offices: New York, NY; Denver, CO; Oakland, CA; or Austin, TX. What You'll Do Team leadership and organizational development Lead, mentor, and inspire a high-performing global Deal Desk organization. Coach the team to operate as commercial advisors to the field, raising the strategic value of every interaction with Sales. Build capability and bench strength, reducing key-person dependency as the team scales. Strategic leadership and vision Own and execute the global vision for the Deal Desk organization across the combined Fivetran + dbt business. Conceptualize and launch new, high-impact commercial strategies and deal constructs (e.g. multi-year deals, shift to consumption-based pricing, and product-specific ELAs) that grow revenue and move the business forward. Lead commercial strategy for the Fivetran + dbt integration, landing one combined operating model, policy set, and deal construct. Build the team structure, governance framework, and ways of working needed to support a global enterprise sales engine selling a multi-product, consumption-based portfolio. Position the deal function as a driver of growth, net revenue retention, and cross-sell, and align the C-suite behind that mandate. Commercial guidance and executive escalation Provide strategic counsel to senior sales leadership and account teams on complex deal structures, pricing options, concessions, and negotiation strategy. Act as the trusted advisor for high-risk, non-standard, and strategically significant commercial discussions. Engage directly with customers on strategic, high-value negotiations when needed, representing the company with credibility. AI and automation Set the vision for an AI-native deal desk, deploying agents and automation across the deal lifecycle, including deal-structuring guidance, pricing recommendations, contract and redline review, approval routing, and risk scoring. Build a tiered service model where automation handles standardized, low-risk deals end to end, so the team's time goes to complex, strategic ones. Scale AI-enabled workflows that improve seller productivity, deal quality, approval consistency, and speed, building on an existing foundation of deal-desk AI agents and AI-assisted deal review. Deal governance and cross-functional alignment Document and enforce global approval policies, SLAs, delegation of authority, and commercial guardrails across Sales, Finance, and Legal. Drive consistency of commercial policy, thresholds, and approval rules across all regions and product lines, so sellers get the same answer wherever a deal originates. Own a standing deal-review and inspection cadence (deal reviews, early checkpoints, and exception tracking) that catches risk early and keeps decisions fast. Partner with Finance and Revenue Accounting to ensure sound revenue recognition, revenue predictability, deal hygiene, and commercial compliance as consumption, ELA, and marketplace structures scale. Deal systems and infrastructure Lead the strategy and roadmap for deal infrastructure, ensuring scalable, efficient, compliant execution as the two companies converge onto unified quote-to-order systems. Partner with Systems, Legal, and Finance to deliver a unified, high-quality quoting and contracting experience across CPQ, CLM, and order management. New product introduction and pricing operations Partner with Product, Pricing, and Monetization on new product introduction (NPI), making sure new products and packaging land with a clear deal construct, approval path, and field enablement at launch. Oversee the Pricing Operations function, supporting packaging, SKU rationalization, and consistent, well-governed pricing execution across the portfolio. Marketplace strategy and operations Oversee marketplace operations across AWS, GCP, Azure, Snowflake, and Databricks, ensuring a streamlined and compliant transaction experience for customers. Shape policies and operational standards for our marketplace presence, and drive cross-functional alignment with Finance, Product, and vendor partners to optimize transaction efficiency and financial accuracy. Skills We're Looking For 15+ years of experience in Deal Desk, Deal Strategy, Revenue Operations or Commercial Operations within a global SaaS or subscription-based business, or Strategy Consulting with a focus on B2B Pricing and Deal Strategy. 8+ years of leadership experience scaling high-performing teams, including meaningful time at the director and ideally senior director level. Strong command of SaaS pricing strategy, with specific depth in consumption-based pricing, commercial governance, discounting and margin considerations, and contract risk mitigation. Track record of building scalable deal processes, implementing robust approval frameworks, and improving deal velocity in complex, high-growth environments. Experience structuring deals across both direct and channel motions, including resellers and cloud marketplaces. Working knowledge of revenue recognition principles, with a track record of partnering closely with Finance and Revenue Accounting on deal structure. Experience applying AI tools to improve deal operations, approval consistency, and seller productivity. Proven ability to influence and collaborate with senior executives across Sales, Finance, Legal, Systems, and Product, with exceptional analytical, strategic-thinking, and problem-solving skills. Executive-level communication skills, with the ability to articulate complex concepts simply and persuasively. Experience with the commercial tooling a deal process runs on (CPQ, CRM, CLM, and related sales systems), enough to be a strong partner to Systems on what is feasible; specific platform experience such as Salesforce or Ironclad is a plus, not a requirement. Experience leading through M&A, systems integration, or large-scale organizational change is a strong plus. #LIHYBRID #LI-SR1 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 $200,793.50 — $250,992 USD Perks and Benefits 100% employer-paid medical insurance * Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. * May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes . Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here . We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.

Location: USA - New York (dbt) From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About Us Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites. About the Role We are looking for a Global Head of Deal Strategy and Operations to lead the worldwide deal function for a rapidly scaling data and analytics business formed by the combination of Fivetran and dbt Labs. This is a commercial strategy role as much as an operational one with a mandate to make our deals bigger, better, and faster. The leader owns the deal structures, pricing inputs, policies, and governance that drive more revenue and higher ASP, cleaner and lower-risk terms, and real velocity across every region and segment, while de-risking the business. This is a pivotal role at a pivotal moment. The business is integrating two commercial engines, two product portfolios, and two sets of systems into a single combined go-to-market. The role sets the strategy for how deals get structured, priced, routed, reviewed, and approved, and acts as a key commercial advisor to GTM leadership on the structures that drive growth, including ELA and commercial strategy, cross-sell, and new product launches. It leads a global team across the Americas, EMEA, and APAC and partners closely with Sales, Finance, Legal, Product, Systems, Pricing, and Partner Marketplace to keep decisions fast, consistent, and scalable. This leader is an equal part strategist, operator, and trusted business partner. The ideal candidate moves fluidly between long-term commercial strategy and hands-on problem solving, has a proven track record scaling a deal function in a global, complex, high-growth SaaS environment, and leads teams through change with clarity and conviction. Reports to the SVP, Strategy and Operations. This is a full-time, hybrid role based in one of our hub offices: New York, NY; Denver, CO; Oakland, CA; or Austin, TX. What You'll Do Team leadership and organizational development Lead, mentor, and inspire a high-performing global Deal Desk organization. Coach the team to operate as commercial advisors to the field, raising the strategic value of every interaction with Sales. Build capability and bench strength, reducing key-person dependency as the team scales. Strategic leadership and vision Own and execute the global vision for the Deal Desk organization across the combined Fivetran + dbt business. Conceptualize and launch new, high-impact commercial strategies and deal constructs (e.g. multi-year deals, shift to consumption-based pricing, and product-specific ELAs) that grow revenue and move the business forward. Lead commercial strategy for the Fivetran + dbt integration, landing one combined operating model, policy set, and deal construct. Build the team structure, governance framework, and ways of working needed to support a global enterprise sales engine selling a multi-product, consumption-based portfolio. Position the deal function as a driver of growth, net revenue retention, and cross-sell, and align the C-suite behind that mandate. Commercial guidance and executive escalation Provide strategic counsel to senior sales leadership and account teams on complex deal structures, pricing options, concessions, and negotiation strategy. Act as the trusted advisor for high-risk, non-standard, and strategically significant commercial discussions. Engage directly with customers on strategic, high-value negotiations when needed, representing the company with credibility. AI and automation Set the vision for an AI-native deal desk, deploying agents and automation across the deal lifecycle, including deal-structuring guidance, pricing recommendations, contract and redline review, approval routing, and risk scoring. Build a tiered service model where automation handles standardized, low-risk deals end to end, so the team's time goes to complex, strategic ones. Scale AI-enabled workflows that improve seller productivity, deal quality, approval consistency, and speed, building on an existing foundation of deal-desk AI agents and AI-assisted deal review. Deal governance and cross-functional alignment Document and enforce global approval policies, SLAs, delegation of authority, and commercial guardrails across Sales, Finance, and Legal. Drive consistency of commercial policy, thresholds, and approval rules across all regions and product lines, so sellers get the same answer wherever a deal originates. Own a standing deal-review and inspection cadence (deal reviews, early checkpoints, and exception tracking) that catches risk early and keeps decisions fast. Partner with Finance and Revenue Accounting to ensure sound revenue recognition, revenue predictability, deal hygiene, and commercial compliance as consumption, ELA, and marketplace structures scale. Deal systems and infrastructure Lead the strategy and roadmap for deal infrastructure, ensuring scalable, efficient, compliant execution as the two companies converge onto unified quote-to-order systems. Partner with Systems, Legal, and Finance to deliver a unified, high-quality quoting and contracting experience across CPQ, CLM, and order management. New product introduction and pricing operations Partner with Product, Pricing, and Monetization on new product introduction (NPI), making sure new products and packaging land with a clear deal construct, approval path, and field enablement at launch. Oversee the Pricing Operations function, supporting packaging, SKU rationalization, and consistent, well-governed pricing execution across the portfolio. Marketplace strategy and operations Oversee marketplace operations across AWS, GCP, Azure, Snowflake, and Databricks, ensuring a streamlined and compliant transaction experience for customers. Shape policies and operational standards for our marketplace presence, and drive cross-functional alignment with Finance, Product, and vendor partners to optimize transaction efficiency and financial accuracy. Skills We're Looking For 15+ years of experience in Deal Desk, Deal Strategy, Revenue Operations or Commercial Operations within a global SaaS or subscription-based business, or Strategy Consulting with a focus on B2B Pricing and Deal Strategy. 8+ years of leadership experience scaling high-performing teams, including meaningful time at the director and ideally senior director level. Strong command of SaaS pricing strategy, with specific depth in consumption-based pricing, commercial governance, discounting and margin considerations, and contract risk mitigation. Track record of building scalable deal processes, implementing robust approval frameworks, and improving deal velocity in complex, high-growth environments. Experience structuring deals across both direct and channel motions, including resellers and cloud marketplaces. Working knowledge of revenue recognition principles, with a track record of partnering closely with Finance and Revenue Accounting on deal structure. Experience applying AI tools to improve deal operations, approval consistency, and seller productivity. Proven ability to influence and collaborate with senior executives across Sales, Finance, Legal, Systems, and Product, with exceptional analytical, strategic-thinking, and problem-solving skills. Executive-level communication skills, with the ability to articulate complex concepts simply and persuasively. Experience with the commercial tooling a deal process runs on (CPQ, CRM, CLM, and related sales systems), enough to be a strong partner to Systems on what is feasible; specific platform experience such as Salesforce or Ironclad is a plus, not a requirement. Experience leading through M&A, systems integration, or large-scale organizational change is a strong plus. #LIHYBRID #LI-SR1 The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role.  Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process. New York Pay Range $208,051 — $260,064 USD Perks and Benefits 100% employer-paid medical insurance * Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. * May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes . Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here . We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.

Location: Denver, Colorado, United States, AMER From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About Us Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites. About the Role We are looking for a Global Head of Deal Strategy and Operations to lead the worldwide deal function for a rapidly scaling data and analytics business formed by the combination of Fivetran and dbt Labs. This is a commercial strategy role as much as an operational one with a mandate to make our deals bigger, better, and faster. The leader owns the deal structures, pricing inputs, policies, and governance that drive more revenue and higher ASP, cleaner and lower-risk terms, and real velocity across every region and segment, while de-risking the business. This is a pivotal role at a pivotal moment. The business is integrating two commercial engines, two product portfolios, and two sets of systems into a single combined go-to-market. The role sets the strategy for how deals get structured, priced, routed, reviewed, and approved, and acts as a key commercial advisor to GTM leadership on the structures that drive growth, including ELA and commercial strategy, cross-sell, and new product launches. It leads a global team across the Americas, EMEA, and APAC and partners closely with Sales, Finance, Legal, Product, Systems, Pricing, and Partner Marketplace to keep decisions fast, consistent, and scalable. This leader is an equal part strategist, operator, and trusted business partner. The ideal candidate moves fluidly between long-term commercial strategy and hands-on problem solving, has a proven track record scaling a deal function in a global, complex, high-growth SaaS environment, and leads teams through change with clarity and conviction. Reports to the SVP, Strategy and Operations. This is a full-time, hybrid role based in one of our hub offices: New York, NY; Denver, CO; Oakland, CA; or Austin, TX. What You'll Do Team leadership and organizational development Lead, mentor, and inspire a high-performing global Deal Desk organization. Coach the team to operate as commercial advisors to the field, raising the strategic value of every interaction with Sales. Build capability and bench strength, reducing key-person dependency as the team scales. Strategic leadership and vision Own and execute the global vision for the Deal Desk organization across the combined Fivetran + dbt business. Conceptualize and launch new, high-impact commercial strategies and deal constructs (e.g. multi-year deals, shift to consumption-based pricing, and product-specific ELAs) that grow revenue and move the business forward. Lead commercial strategy for the Fivetran + dbt integration, landing one combined operating model, policy set, and deal construct. Build the team structure, governance framework, and ways of working needed to support a global enterprise sales engine selling a multi-product, consumption-based portfolio. Position the deal function as a driver of growth, net revenue retention, and cross-sell, and align the C-suite behind that mandate. Commercial guidance and executive escalation Provide strategic counsel to senior sales leadership and account teams on complex deal structures, pricing options, concessions, and negotiation strategy. Act as the trusted advisor for high-risk, non-standard, and strategically significant commercial discussions. Engage directly with customers on strategic, high-value negotiations when needed, representing the company with credibility. AI and automation Set the vision for an AI-native deal desk, deploying agents and automation across the deal lifecycle, including deal-structuring guidance, pricing recommendations, contract and redline review, approval routing, and risk scoring. Build a tiered service model where automation handles standardized, low-risk deals end to end, so the team's time goes to complex, strategic ones. Scale AI-enabled workflows that improve seller productivity, deal quality, approval consistency, and speed, building on an existing foundation of deal-desk AI agents and AI-assisted deal review. Deal governance and cross-functional alignment Document and enforce global approval policies, SLAs, delegation of authority, and commercial guardrails across Sales, Finance, and Legal. Drive consistency of commercial policy, thresholds, and approval rules across all regions and product lines, so sellers get the same answer wherever a deal originates. Own a standing deal-review and inspection cadence (deal reviews, early checkpoints, and exception tracking) that catches risk early and keeps decisions fast. Partner with Finance and Revenue Accounting to ensure sound revenue recognition, revenue predictability, deal hygiene, and commercial compliance as consumption, ELA, and marketplace structures scale. Deal systems and infrastructure Lead the strategy and roadmap for deal infrastructure, ensuring scalable, efficient, compliant execution as the two companies converge onto unified quote-to-order systems. Partner with Systems, Legal, and Finance to deliver a unified, high-quality quoting and contracting experience across CPQ, CLM, and order management. New product introduction and pricing operations Partner with Product, Pricing, and Monetization on new product introduction (NPI), making sure new products and packaging land with a clear deal construct, approval path, and field enablement at launch. Oversee the Pricing Operations function, supporting packaging, SKU rationalization, and consistent, well-governed pricing execution across the portfolio. Marketplace strategy and operations Oversee marketplace operations across AWS, GCP, Azure, Snowflake, and Databricks, ensuring a streamlined and compliant transaction experience for customers. Shape policies and operational standards for our marketplace presence, and drive cross-functional alignment with Finance, Product, and vendor partners to optimize transaction efficiency and financial accuracy. Skills We're Looking For 15+ years of experience in Deal Desk, Deal Strategy, Revenue Operations or Commercial Operations within a global SaaS or subscription-based business, or Strategy Consulting with a focus on B2B Pricing and Deal Strategy. 8+ years of leadership experience scaling high-performing teams, including meaningful time at the director and ideally senior director level. Strong command of SaaS pricing strategy, with specific depth in consumption-based pricing, commercial governance, discounting and margin considerations, and contract risk mitigation. Track record of building scalable deal processes, implementing robust approval frameworks, and improving deal velocity in complex, high-growth environments. Experience structuring deals across both direct and channel motions, including resellers and cloud marketplaces. Working knowledge of revenue recognition principles, with a track record of partnering closely with Finance and Revenue Accounting on deal structure. Experience applying AI tools to improve deal operations, approval consistency, and seller productivity. Proven ability to influence and collaborate with senior executives across Sales, Finance, Legal, Systems, and Product, with exceptional analytical, strategic-thinking, and problem-solving skills. Executive-level communication skills, with the ability to articulate complex concepts simply and persuasively. Experience with the commercial tooling a deal process runs on (CPQ, CRM, CLM, and related sales systems), enough to be a strong partner to Systems on what is feasible; specific platform experience such as Salesforce or Ironclad is a plus, not a requirement. Experience leading through M&A, systems integration, or large-scale organizational change is a strong plus. #LIHYBRID #LI-SR1 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 $200,793.50 — $250,992 USD Perks and Benefits 100% employer-paid medical insurance * Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. * May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes . Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here . We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.

Location: Oakland, California, United States, AMER From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About Us Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites. About the Role We are looking for a Global Head of Deal Strategy and Operations to lead the worldwide deal function for a rapidly scaling data and analytics business formed by the combination of Fivetran and dbt Labs. This is a commercial strategy role as much as an operational one with a mandate to make our deals bigger, better, and faster. The leader owns the deal structures, pricing inputs, policies, and governance that drive more revenue and higher ASP, cleaner and lower-risk terms, and real velocity across every region and segment, while de-risking the business. This is a pivotal role at a pivotal moment. The business is integrating two commercial engines, two product portfolios, and two sets of systems into a single combined go-to-market. The role sets the strategy for how deals get structured, priced, routed, reviewed, and approved, and acts as a key commercial advisor to GTM leadership on the structures that drive growth, including ELA and commercial strategy, cross-sell, and new product launches. It leads a global team across the Americas, EMEA, and APAC and partners closely with Sales, Finance, Legal, Product, Systems, Pricing, and Partner Marketplace to keep decisions fast, consistent, and scalable. This leader is an equal part strategist, operator, and trusted business partner. The ideal candidate moves fluidly between long-term commercial strategy and hands-on problem solving, has a proven track record scaling a deal function in a global, complex, high-growth SaaS environment, and leads teams through change with clarity and conviction. Reports to the SVP, Strategy and Operations. This is a full-time, hybrid role based in one of our hub offices: New York, NY; Denver, CO; Oakland, CA; or Austin, TX. What You'll Do Team leadership and organizational development Lead, mentor, and inspire a high-performing global Deal Desk organization. Coach the team to operate as commercial advisors to the field, raising the strategic value of every interaction with Sales. Build capability and bench strength, reducing key-person dependency as the team scales. Strategic leadership and vision Own and execute the global vision for the Deal Desk organization across the combined Fivetran + dbt business. Conceptualize and launch new, high-impact commercial strategies and deal constructs (e.g. multi-year deals, shift to consumption-based pricing, and product-specific ELAs) that grow revenue and move the business forward. Lead commercial strategy for the Fivetran + dbt integration, landing one combined operating model, policy set, and deal construct. Build the team structure, governance framework, and ways of working needed to support a global enterprise sales engine selling a multi-product, consumption-based portfolio. Position the deal function as a driver of growth, net revenue retention, and cross-sell, and align the C-suite behind that mandate. Commercial guidance and executive escalation Provide strategic counsel to senior sales leadership and account teams on complex deal structures, pricing options, concessions, and negotiation strategy. Act as the trusted advisor for high-risk, non-standard, and strategically significant commercial discussions. Engage directly with customers on strategic, high-value negotiations when needed, representing the company with credibility. AI and automation Set the vision for an AI-native deal desk, deploying agents and automation across the deal lifecycle, including deal-structuring guidance, pricing recommendations, contract and redline review, approval routing, and risk scoring. Build a tiered service model where automation handles standardized, low-risk deals end to end, so the team's time goes to complex, strategic ones. Scale AI-enabled workflows that improve seller productivity, deal quality, approval consistency, and speed, building on an existing foundation of deal-desk AI agents and AI-assisted deal review. Deal governance and cross-functional alignment Document and enforce global approval policies, SLAs, delegation of authority, and commercial guardrails across Sales, Finance, and Legal. Drive consistency of commercial policy, thresholds, and approval rules across all regions and product lines, so sellers get the same answer wherever a deal originates. Own a standing deal-review and inspection cadence (deal reviews, early checkpoints, and exception tracking) that catches risk early and keeps decisions fast. Partner with Finance and Revenue Accounting to ensure sound revenue recognition, revenue predictability, deal hygiene, and commercial compliance as consumption, ELA, and marketplace structures scale. Deal systems and infrastructure Lead the strategy and roadmap for deal infrastructure, ensuring scalable, efficient, compliant execution as the two companies converge onto unified quote-to-order systems. Partner with Systems, Legal, and Finance to deliver a unified, high-quality quoting and contracting experience across CPQ, CLM, and order management. New product introduction and pricing operations Partner with Product, Pricing, and Monetization on new product introduction (NPI), making sure new products and packaging land with a clear deal construct, approval path, and field enablement at launch. Oversee the Pricing Operations function, supporting packaging, SKU rationalization, and consistent, well-governed pricing execution across the portfolio. Marketplace strategy and operations Oversee marketplace operations across AWS, GCP, Azure, Snowflake, and Databricks, ensuring a streamlined and compliant transaction experience for customers. Shape policies and operational standards for our marketplace presence, and drive cross-functional alignment with Finance, Product, and vendor partners to optimize transaction efficiency and financial accuracy. Skills We're Looking For 15+ years of experience in Deal Desk, Deal Strategy, Revenue Operations or Commercial Operations within a global SaaS or subscription-based business, or Strategy Consulting with a focus on B2B Pricing and Deal Strategy. 8+ years of leadership experience scaling high-performing teams, including meaningful time at the director and ideally senior director level. Strong command of SaaS pricing strategy, with specific depth in consumption-based pricing, commercial governance, discounting and margin considerations, and contract risk mitigation. Track record of building scalable deal processes, implementing robust approval frameworks, and improving deal velocity in complex, high-growth environments. Experience structuring deals across both direct and channel motions, including resellers and cloud marketplaces. Working knowledge of revenue recognition principles, with a track record of partnering closely with Finance and Revenue Accounting on deal structure. Experience applying AI tools to improve deal operations, approval consistency, and seller productivity. Proven ability to influence and collaborate with senior executives across Sales, Finance, Legal, Systems, and Product, with exceptional analytical, strategic-thinking, and problem-solving skills. Executive-level communication skills, with the ability to articulate complex concepts simply and persuasively. Experience with the commercial tooling a deal process runs on (CPQ, CRM, CLM, and related sales systems), enough to be a strong partner to Systems on what is feasible; specific platform experience such as Salesforce or Ironclad is a plus, not a requirement. Experience leading through M&A, systems integration, or large-scale organizational change is a strong plus. #LIHYBRID #LI-SR1 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 $208,051 — $260,064 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: Europe; Vilnius, Remote Workplace: Remote About Eneba   At Eneba, we’re building an open, safe and sustainable marketplace for the gamers of today and tomorrow. Our marketplace supports close to 20m+ active users (and growing fast!), provides a level of trust, safety and market accessibility unparalleled to none. We’re proud of what we’ve accomplished in such a short time and look forward to sharing this journey with you. Join us as we continue to scale, diversify our portfolio, and grow with the evolving community of gamers. About your team Behind every groundbreaking product, there’s an awesome team! In Product, we gather folks with diverse backgrounds and expertise in areas such as product development, management, design, UX, analytics, and more. We move fast, experiment, learn a lot, and build new products for our growing base of 20+ million active users. At the same time, we continue to iterate and improve on our flagship product: Digital, a safe and affordable marketplace for gamers. Physical, where we enable users to turn their second-hand items into someone’s first-tier gaming experience. Or Payments & Risk, where we provide a smooth, secure, and reliable purchase experience. As a Business Intelligence Analyst, you will be responsible for providing analytical insights and reporting to support decision-making within the company. You will work closely with the product teams and other departments to analyze payments-related data, manage complex data sources, automate data processes, and provide insights into business performance. This is a critical role in our organization, as the insights and recommendations you provide will inform key strategic decisions that drive our growth and success. Responsibilities - Lead data collection and integration projects within the payments domain. - Develop and maintain performance reports for payments analytics. - Monitor key performance indicators (KPIs) and provide insights into payment performance, transaction volumes, and other indicators. - Identify opportunities to optimize payment processes and reduce operational costs, working with Payment Ops and Product teams to optimize payment routing and reduce payment failures. - Collaborate with data analysts and engineers to ensure data accuracy, completeness, and consistency. - Collaborate with other teams, such as Finance, Customer Support, and Product Development, to address payment-related challenges and opportunities. - Perform ad-hoc analysis and research to answer specific business questions and support decision-making. Requirements - At least 4/5+ years of experience in business analytics in finance, banking, consulting, accounting, or similar sectors. Exposure to payments data (PSP, acquiring, or risk systems) is a strong plus. - Working knowledge of the payments stack is a strong plus. - Advanced SQL, with an ambition to improve. - Strong quantitative and analytical skills. - Ability to identify and suggest improvements in the payments domain by analyzing transactional, business, and market data. - Excellent written and verbal communication skills, with the ability to present complex information clearly and translate data findings into actionable recommendations, especially for non-technical stakeholders. Precise and well-structured when delivering analyses and reports. Nice to have - Ability to independently build structured dashboards (Databricks, Tableau, or similar BI tools). - Experience building AI-powered refreshable/scheduled reports. Salary ranges may vary. We're seeking candidates with varied experience levels; from individual contributors to functional leaders in this space. We're an international team and our business language of choice is English. Good English level is required, proficiency is preferred. To find out about how we handle your personal data, make sure to check out our Candidate Privacy Notice: https://www.eneba.com/candidate-privacy-notice What it's like to work at Eneba - Opportunity to join our Employee Stock Options program. - Opportunity to help scale a unique product. - Various bonus systems: performance-based, referral, additional paid leave, personal learning budget. - Paid volunteering opportunities. - Work location of your choice: office, remote, opportunity to work and travel. - Personal and professional growth at an exponential rate supported by well-defined feedback and promotion processes. #LI-JP1

Location: South Africa; Philippines; Morocco; Egypt; Germany; United Kingdom About Huzzle At Huzzle, we connect exceptional talent with exciting opportunities at leading companies across the UK, US, Canada, Europe, and Australia. We work with a diverse range of clients, including startups, digital agencies, and technology-driven businesses across industries such as SaaS, MarTech, FinTech, and AI. Unlike traditional outsourcing agencies, we place you directly with our clients, where you become an integral, in-house member of their team. Job Type: Full-time Location: Remote Job Summary As a Data Engineer, you will play a key role in designing, developing, and maintaining scalable data pipelines and infrastructure. You will collaborate with data analysts, data scientists, software engineers, and business stakeholders to ensure data is reliable, accessible, and of high quality across the organisation. This is a great opportunity for professionals who enjoy tackling complex data challenges and building robust systems that power business intelligence, analytics, and machine learning initiatives. Key Responsibilities Design, build, and maintain scalable ETL and ELT data pipelines. Develop and optimize data architectures, databases, and data warehouses. Integrate data from various sources, APIs, and third-party platforms. Maintain data quality, accuracy, consistency, reliability, and security. Monitor, troubleshoot, and improve data pipelines and workflows. Work closely with analytics, engineering, and business teams to identify and meet data requirements. Establish data governance standards and best practices for data management. Improve data storage, processing speeds, and query performance. Support business intelligence, reporting, and analytics projects. Maintain documentation of data models, workflows, and technical processes. Requirements 2+ years of experience in data engineering, data warehousing, or a similar field. Strong SQL skills and a solid understanding of database management. Proficiency in Python, Java, Scala, or other relevant programming languages. Practical experience with ETL/ELT tools and building data pipelines. Familiarity with cloud platforms such as AWS, Azure, or Google Cloud Platform. Hands-on experience with modern data warehouse solutions such as Snowflake, Redshift, BigQuery, or Databricks. Knowledge of workflow orchestration tools such as Airflow or Prefect. Understanding of data modelling, governance, and data quality best practices. Experience handling large datasets and working with distributed systems is an advantage. Strong analytical thinking, problem-solving, and communication abilities. Comfortable working independently while collaborating with a remote team. Benefits 💰 Competitive compensation: Tailored to your experience, technical skills, and location. 🌎 Fully remote work: Enjoy the flexibility to work from anywhere. 🚀 Career development: Join innovative companies and contribute to meaningful, high-impact projects. 📈 Long-term potential: Grow your career alongside ambitious, expanding global organisations. 🧠 Ongoing learning: Gain exposure to emerging data technologies, cloud platforms, and large-scale data environments. 🤝 Collaborative environment: Work with skilled engineers, analysts, and business stakeholders. ⚙️ Modern tech stack: Work with cutting-edge data tools, technologies, and cloud-based solutions.

Location: USA - Philadelphia (dbt) From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About Us Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites. About the Role Fivetran is building data pipelines to power the modern data stack for thousands of companies. We’re seeking an experienced Resident Solution Architect with a passion for solving challenging problems with dbt to join our Professional Services team. RSAs are billable to dbt Platform Enterprise customers and help achieve our mission to empower data developers to create and disseminate organizational knowledge. This is a full-time position based in the United States, with a focus on MST, CST, and EST timezones. Technologies You’ll Use dbt Platform and dbt Core for data modeling, testing, documentation, development workflows, and jobs SQL and Jinja for building and maintaining data transformations; Python for scripting and integrations as needed Cloud data platforms , such as Snowflake, Databricks, BigQuery, or Redshift Git and GitHub , including branching, pull requests, and CI/CD workflows Data ingestion and integration tools , including Fivetran, plus APIs and connectors Cloud and orchestration tools used in customer environments; the specific tools will vary by engagement What You’ll Do Work on a variety of impactful customer technical projects — inclusive of implementation, troubleshooting configurations, instilling best practices, and solutioning MVPs and long term solutions to customer specific requirements Consult on architecture and design Ensure our most strategic dbt platform customers are adopting the product Collaborate with other internal customer facing teams at dbt Labs - Sales, Solution Architects, Training, Support Provide critical feedback to dbt Labs product and engineering teams to improve and prioritize customer requests and ensure rapid resolution for engagement specific issues Become a product expert with dbt in the context of the modern data stack (if you aren't already) You are a good fit if: You have deep experience working with enterprise customers across a variety of use cases, ideally in a customer-facing post-sales, technical architect, or consulting role You have deep expertise in at least one data platform (Snowflake, Databricks, BigQuery, Redshift) You have at least 2 years of experience with dbt, ideally including 1 year with dbt platform You are proficient in writing SQL and have some python experience You look forward to building skills in technical areas that support deployment and integration of dbt platform solutions to complete customer projects You are customer focused - embracing one of our core values that users are our best advocates You are highly organized. Comfort with technical project delivery - managing scope, timelines, and deliverables - this role will be staffed on multiple engagements at once You communicate clearly and concisely with internal and external stakeholders - demonstrating a capacity to clearly and concisely communicate about complex technical, architectural, and/or organizational problems and propose thorough iterative solutions You thrive in a remote organization that highly values transparency and cross-collaboration ~10% travel should be expected (occasional customer visits, company retreat and offsites) Bonus Skills ​ You have obtained the dbt Analytics Engineering Certification You have the ability to advise on dbt Platform recommendations, and build direction/consensus with the customer to move forward Experience with traditional Enterprise ETL tooling (Informatica, Datastage, Talend) #LI-REMOTE The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role.  Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process. Pay Range $167,983 — $190,000 USD Perks and Benefits 100% employer-paid medical insurance * Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. * May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes . Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here . We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.

Location: Remote, California, United States, AMER From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About Us Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites. About the Role Fivetran is building data pipelines to power the modern data stack for thousands of companies. We’re looking for a Manager Sales Engineering Specialists to oversee our data platform Specialists functions. In this role, you will work alongside global Sales Engineering leadership to leverage a team of technical experts to accelerate our most complex enterprise deals, drive customer adoption after the sale, and improve the efficiency of the Sales Engineering motion at large. As customers build toward AI and agentic workloads, you will keep your team ahead of what those workloads demand of the data platform. You will need a deep understanding of how modern data movement and transformation platforms like ours are architected, including the AI use cases built on top of them, and a keen ability to lead a team of highly specialized resources. You will be tasked with developing and retaining experienced, high-performing talent who can speak the language of enterprise architects, data engineers, and data platform owners, and with hiring where the team needs to grow. This is a full-time position based in the US. Technologies You’ll Use Fivetran, dbt, Enterprise databases and applications (including SAP), cloud data warehouses and lakehouses (Snowflake, BigQuery, Databricks), open table formats (Apache Iceberg), dbt, SQL, reverse ETL, AI and agent tooling, AWS, GCP, Azure What You’ll Do Lead a team of tenured experts across our data platform specialties to act as technical liaisons between Sales Engineering, Sales, Product, and Engineering. Support Global Sales teams by proactively embedding specialist functions to remove technical blockers in complex enterprise deals and in customer adoption after the sale. Implement strategies to maximize deal velocity and customer adoption by streamlining how specialists are engaged, prioritized, and measured. Execute hands-on tasks when needed, including architecture reviews, critical customer calls, or complex proofs of value. Ensure the team provides timely, strategic, and accurate guidance during technical evaluations and customer escalations. Build strong working relationships with strategic internal partners, including Product, Engineering, and other sales teams. Coach team members to maximize performance and efficiency, and prepare them for future roles. Ensure the team shares specialist knowledge across the field through enablement and documentation. Keep the team current on how AI and agentic workloads change customer requirements, and turn that into field guidance. Skills We’re Looking For People Leadership: Proven experience leading and developing a Sales Engineering, Solution Architecture, or other technical team, with people management experience preferred. Technical Depth: Hands-on expertise in one or more areas across the data lifecycle, such as database and application replication, SAP, lake and warehouse architectures, transformation, activation, or AI and context engineering, and the breadth to credibly lead specialists in other disciplines. Experience applying a narrower specialty across several of these areas also counts. Cloud and Data Architecture: Proficiency with major cloud providers (AWS, GCP, Azure), specifically regarding deployment and connectivity, and with modern data architectures, including cloud data warehouses and lakehouses. AI Fluency: Working understanding of how AI and agentic workloads change customers' data requirements, and fluency using AI tools to scale your own and your team's work. Technical Sales Acumen: Extensive Sales Engineering or specialist experience supporting complex enterprise sales cycles, including proofs of value and senior stakeholders, and deep knowledge of the broader technical sales and demonstration process. Communication Skills: Best-in-class ability to explain complex data and AI concepts to non-technical buyers and technical architects alike, and to influence Product and Engineering priorities with customer evidence. Bonus Skills​ Prior experience at an analytics, ETL, BI, or open-source data software company Familiarity with dbt, Terraform, or similar tools for transformation and managing cloud infrastructure Experience managing distributed teams across multiple regions and time zones Hands-on experience with AI and context engineering, such as LLM applications, MCP, semantic layers, or metadata and retrieval OTE (On Target Earning) $212,004.29 — $294,450.54 USD Perks and Benefits 100% employer-paid medical insurance * Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. * May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes . Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here . We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.

Location: Remote, EMEA MinIO is the data and memory foundation for enterprise AI. Built for the speed, scale, and economics that AI and analytics demand, AIStor and MemKV are built for the speed, scale and economics that AI and analytics demand. Together they unify every layer of the data stack, from agentic and inference context memory to tables and objects, across core, edge and cloud. MinIO is trusted by 77% of the Fortune 100 and is redefining how AI factories, intelligent applications and autonomous agents secure, persist and unlock the full value of their data. We are hiring a hands-on marketing leader to bring MinIO’s global strategy to life across Europe, the Middle East, and Africa (EMEA). Working alongside core teams focused on global messaging and partner programs, you will translate corporate initiatives into localized execution that drives pipeline across EMEA’s key markets. You will own the regional marketing plan, budget, and calendar, collaborating closely with EMEA Sales, Channel & Alliances, and Global Marketing. Success is measured by regional pipeline and revenue growth. As MinIO’s regional marketing lead, you will serve as our primary voice in a rapidly growing AI infrastructure market driven by sovereign AI, AI factory buildouts, and regulated industries. What You Will Do Field Marketing Turn global campaigns and launches into localized, account-based programs: executive dinners, technical workshops, roundtables, and roadshows that move mid- and late-funnel deals forward. Build and run the EMEA field marketing calendar around regional pipeline targets and sales segment priorities. Support MinIO’s presence at key EMEA industry events (e.g., LEAP, GITEX), including partner co-sponsorships, joint demos and side events. Work with global digital demand, ABM, and product marketing teams to adapt content and assets for EMEA languages, markets, and buyers. Channel Partner Marketing Execute global partner programs in EMEA in close alignment with Corporate Partner Marketing. For global focus partners with a significant EMEA presence, lead regional execution within joint plans. Build and manage joint marketing plans with European channel partners, covering target accounts, joint plays, quarterly milestones, and shared KPIs. Run co-marketing initiatives that accelerate deal registrations, including partner events, webinars, ABM campaigns, digital programs, and co-branded content. Adapt global partner toolkits and playbooks for regional partners and drive ongoing adoption. Tech Alliance Partner Events Partner with Corporate Alliance Marketing to execute joint programs with key tech partners (e.g., NVIDIA, Databricks, HUMAIN, Datadog), providing regional expertise and market insights. Collaborate with partners’ regional marketing teams on local events, joint demonstrations, and campaigns targeting shared customers. Identify EMEA-specific joint use cases and target segments, including sovereign AI, regulated industries, and AI factory buildouts. Measurement & Impact Marketing-sourced and marketing-influenced pipeline by program type Lead generation volume and conversion rates by channel and region Deal registration growth and partner-sourced revenue Event ROI (cost per opportunity, audience acquisition, post-event engagement) Your Skills and Experience 10+ years of B2B marketing experience, including 5+ years leading field, partner, or event marketing in EMEA for infrastructure, cloud, data, or storage software. Proven track record of translating global strategy into regional execution and results within a matrixed organization. Hands-on channel and alliance experience executing joint demand generation programs that deliver measurable pipeline. Deep familiarity with EMEA resellers, distributors, and systems integrators (e.g., Computacenter, SVA, Fujitsu), including their marketing planning and budget cycles. Analytical mindset with experience building performance dashboards, evaluating data, and optimizing budget allocation based on performance. Strong operational knowledge of EMEA regional nuances, including buyer behavior, partner routes to market, and compliance standards such as GDPR. Willingness to travel up to 25% across the region. London, UK area preferred. Equal Opportunity Policy (EEO) MinIO is proud to be an equal opportunity workplace and an affirmative action employer. We review applications for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, veteran status, genetic information, physical or mental disability, medical condition, marital status, or any other basis prohibited by law.

Location: Kyiv; Lviv Workplace: onsite Ajax Systems — міжнародна технологічна компанія і найбільший у Європі виробник охоронних систем. Ми шукаємо фахівця до Operations підрозділу на позицію Data Analyst. Необхідні знання та навички: SQL та робота з даними: SQL (JOIN, CTE, Window Functions), Databricks / Spark SQL, Delta Lake, моделювання та перевірка якості даних. Автоматизація: Google Sheets (QUERY, ARRAYFORMULA, IMPORTRANGE), Apps Script, API. Інструменти: Jira (JQL, REST API), Confluence, BI-дашборди. Виробничі процеси: розуміння BOM, NPI, специфікацій, 1С / SAP MM, планування матеріалів і закупівель. Аналітичні навички: робота з великими обсягами даних, визначення KPI, виявлення помилок і пошук першопричин. Системне мислення, уважність до деталей, проактивність, самостійність та комунікація. Буде плюсом: Досвід роботи з Python (pandas, numpy), ETL-процесами та автоматизацією звітності. Знання інструментів оркестрації: Airflow, Databricks Jobs. Досвід роботи з dbt, Unity Catalog, Data Lineage та Data Catalog. Розуміння процесів планування закупівель, ABC/XYZ-аналізу, Lead Time та прогнозування запасів. Досвід інтеграції систем через API та Webhooks, створення ботів для Jira. Досвід роботи з великими наборами даних (CSV / Parquet, 10+ млн рядків). Навички побудови прогнозних моделей і статистичного аналізу. Розуміння BPMN, User Stories, Git. Завдання: Збирати, обробляти та звіряти дані з різних джерел (РНД-план, 1С, Jira тощо). Розробляти та підтримувати аналітичні моделі, звіти й BI-дашборди. Автоматизувати збір, обробку даних і регулярну звітність. Аналізувати виробничі процеси, потреби в матеріалах, запаси та закупівлі. Виявляти помилки, розбіжності й операційні ризики, знаходити їхні причини та пропонувати рішення. Розробляти метрики й KPI для моніторингу ефективності R&D Operations. Інтегрувати внутрішні системи та автоматизувати обмін даними між ними. Взаємодіяти з R&D, виробництвом, закупівлями та плануванням для оптимізації процесів. Пропонуємо: Можливість пропонувати та реалізовувати власні ідеї, які впливають на продукт та його масове виробництво; Місце у стрімко зростаючій компанії з вмотивованою професійною командою; Конкурентну заробітну плату; Медичне страхування; Корпоративні заняття з англійської мови; Можливість взяти участь у внутрішньому проєкті бета-тестування систем безпеки Ajax; Знижки на продукти компанії та партнерів Ajax Systems — це українська історія успіху, яка виросла в глобальний продукт. Пристроям Ajax довіряють уже понад 4,5 мільйони кінцевих користувачів і 330 тисяч PRO-користувачів у більш ніж 180 країнах. Компанія пропонує комплексні рішення для захисту житлових і комерційних об'єктів різного масштабу. Нині портфоліо Ajax налічує 280 пристроїв для захисту від вторгнення, відеоспостереження, пожежної безпеки та комфорту й автоматизації.

Location: Argentina; Brazil; Colombia Workplace: Remote Solvd Inc. is a rapidly growing AI-native consulting and technology services firm delivering enterprise transformation across cloud, data, software engineering, and artificial intelligence. We work with industry-leading organizations to design, build, and operationalize technology solutions that drive measurable business outcomes. Following the acquisition of Tooploox, a premier AI and product development company, Solvd now offers true end-to-end delivery—from strategic advisory and solution design to custom AI development and enterprise-scale implementation. Our capability centers combine deep technical expertise, proven delivery methodologies, and sector-specific knowledge to address complex business challenges quickly and effectively. We are looking for a Product Data Scientist to partner closely with Credit Cards and Banking product teams, shaping product strategy and driving growth through rigorous analysis, experimentation, and applied machine learning. You’ll work alongside Product Managers, Engineers, and business stakeholders to identify opportunities, influence product decisions, and measure the impact of new features — from optimizing how consumers discover and compare financial products to developing predictive tools such as approval odds and personalized recommendations. This is a hands-on, highly analytical role for someone comfortable exploring complex data, challenging product assumptions, designing experiments, and translating insights into decisions that ship. WHAT YOU’LL DO Product strategy & growth - Partner with Product Managers and vertical leadership to identify, size, and prioritize growth opportunities across the consumer journey. - Establish metric frameworks — north-star metrics, funnel definitions, and performance drivers. - Lead deep-dive analyses to understand consumer behavior, friction points, and performance trends. - Translate ambiguous business questions into clear analytical approaches and actionable recommendations. Experimentation & applied data science - Own the full experimentation lifecycle — hypothesis development, test design, statistical analysis, and business impact measurement. - Develop predictive and statistical models that improve consumer experiences. - Collaborate with Product and Engineering teams to translate findings into consumer-facing features. Analytics practices & tooling - Use SQL, Python, Databricks, and BI tools to deliver analyses and reporting. - Build and maintain metric definitions, dashboards, and measurement frameworks. - Automate recurring analytical processes. - Communicate findings clearly to both technical and non-technical stakeholders. - Promote a data-driven product development culture across teams. REQUIRED SKILLS & EXPERIENCE - 3+ years of professional experience in data science, product analytics, or a related analytical discipline — with demonstrated experience influencing product decisions through data. - Strong proficiency in SQL and Python for data exploration, statistical analysis, automation, and predictive modeling. - Hands-on experience with Databricks for analytical workflows, data processing, or model development — required. - Proven experience designing, analyzing, and interpreting A/B tests, including statistical significance, power analysis, and common experimentation pitfalls. - Strong understanding of product analytics — funnel optimization, metric development, cohort analysis, and behavioral segmentation. - Working knowledge of applied statistics and machine learning techniques — regression, classification, propensity modeling, and/or causal inference. - Experience developing dashboards and automating analytical workflows using modern BI and data tools. - Excellent communication and collaboration skills — able to influence Product Managers, Engineers, and business stakeholders through data-backed recommendations. - Bachelor’s or advanced degree in Statistics, Mathematics, Economics, Computer Science, Engineering, or a related quantitative discipline, or equivalent practical experience. When you join Solvd, you'll… - Shape real-world AI-driven projects across key industries, working with clients from startup innovation to enterprise transformation. - Be part of a global team with equal opportunities for collaboration across continents and cultures. - Thrive in an inclusive environment that prioritizes continuous learning, innovation, and ethical AI standards. Ready to make an impact? If you're excited to build things that matter, champion responsible AI, and grow with some of the industry’s sharpest minds. Apply today and let’s innovate together. Solvd is an equal opportunity employer.

Location: Kyiv; Lviv Workplace: onsite Ajax Systems — міжнародна технологічна компанія і найбільший у Європі виробник охоронних систем. Продуктам Ajax довіряють уже понад 4,5 мільйони кінцевих користувачів і 330 тисяч PRO-користувачів у більш ніж 180 країнах. Компанія пропонує комплексні рішення для захисту житлових і комерційних об'єктів різного масштабу. Нині портфоліо Ajax налічує 280 пристроїв для захисту від вторгнення, відеоспостереження, пожежної безпеки та комфорту й автоматизації. Кожного року ми демонструємо кратне зростання як у чисельності команди, так і в кількості користувачів у всьому світі.    Ajax Systems має виробництво повного циклу: від генерації ідей та створення прототипів до масового виробництва та продажу по всьому світу. Кожен департамент закриває певну операційну потребу бізнесу в повній мірі. Фахівці компанії залучені на всіх етапах: від виробничої лінії в Україні до логістичного центру в Польщі, звідки продукцію відправляють дистрибʼюторам по всьому світу.   Зараз ми шукаємо Data QA Engineer (Middle) до команди Data Warehouse & Analytics, який допоможе побудувати системний підхід до тестування даних та забезпечити їхню якість на всіх етапах обробки — від джерел до фінальних аналітичних вітрин. Наша команда працює над розвитком корпоративної платформи даних на базі Databricks, інтеграцією даних із SAP, 1С та інших систем, підготовкою master data для впровадження SAP на міжнародних виробничих майданчиках, а також автоматизацією управлінської та аналітичної звітності. Це можливість долучитися до побудови процесів Data QA практично з нуля, впливати на підходи до тестування та розвивати автоматизацію перевірок якості даних. Основні обов'язки: Побудова та розвиток процесів тестування даних у команді Data Warehouse & Analytics. Тестування ETL/ELT-процесів та перевірка коректності передачі й трансформації даних із SAP, 1С та інших джерел до Databricks. Перевірка відповідності даних бізнес-вимогам на всіх етапах обробки: від source-систем до фінальних аналітичних вітрин. Проведення Data Validation та Source-to-Target Reconciliation для забезпечення точності, повноти й узгодженості даних. Перевірка бізнес-логіки трансформацій, правил обробки та збагачення даних. Виявлення дублів, пропущених записів, некоректних значень та інших аномалій у даних. Розробка та підтримка тест-кейсів, тестових сценаріїв і правил перевірки якості даних. Побудова та розвиток автоматизованого тестування даних, зокрема регресійних перевірок. Перевірка коректності даних після змін у data pipelines, структурах даних і бізнес-логіці. Участь у тестуванні процесів підготовки master data для впровадження SAP. Аналіз причин розбіжностей у даних та взаємодія з Data Engineers, Business Analysts і суміжними командами для їх усунення. Участь у вдосконаленні підходів до Data Quality та підвищенні надійності процесів обробки даних. Наші очікування: Від 2 років комерційного досвіду в Data QA, ETL QA, DWH QA або Software QA зі значним фокусом на тестуванні даних. Впевнене володіння SQL : самостійне написання запитів, робота з JOIN, CTE, фільтрацією, агрегацією та вибірками з декількох таблиць. Знання Python та розуміння можливостей його використання для тестування й автоматизації перевірок даних. Розуміння принципів Quality Engineering та практичних підходів до побудови процесів тестування. Розуміння ETL/ELT-процесів, архітектури Data Warehouse та життєвого циклу даних. Знання принципів Data Quality, Data Validation, Data Reconciliation та Data Governance. Досвід перевірки коректності трансформацій даних і відповідності результатів бізнес-вимогам. Розуміння принципів регресійного тестування та автоматизації тестових перевірок. Розвинені аналітичні навички, здатність самостійно розбиратися у складній бізнес-логіці та знаходити причини проблем із даними. Проактивність, системність, конструктивна комунікація та здатність організовувати роботу в умовах динамічних пріоритетів. Англійська мова на рівні від Intermediate для роботи з документацією та комунікації з міжнародними командами. Буде перевагою: Практичний досвід автоматизації Data Quality / Data Validation тестів. Досвід роботи з Databricks, PySpark, Spark . Досвід роботи з Python-based testing frameworks, pytest, Great Expectations, dbt tests, Soda або аналогічними інструментами. Досвід тестування інтеграцій SAP з DWH або іншими корпоративними платформами даних. Досвід побудови процесів тестування з нуля. Розуміння CI/CD та досвід інтеграції автоматизованих тестів у процеси розробки. Досвід роботи з великими обсягами даних і багатоджерельними інтеграціями. Досвід роботи з BI-рішеннями, зокрема Power BI. Що пропонуємо: Участь у масштабних міжнародних проєктах із розвитку корпоративної платформи даних. Можливість побудувати та розвивати напрям Data QA, впливаючи на інструменти й підходи до тестування. Роботу із сучасним технологічним стеком: Databricks, Python, SQL, PySpark. Співпрацю з командою Data Engineers, SAP-спеціалістів та бізнес-аналітиків. Можливість професійного розвитку на перетині Quality Engineering, Data Engineering та Business Analytics. Роботу в одному з наших комфортабельних офісів. Офіс облаштований генератором та укриттям. Офіційне працевлаштування зі стабільною оплатою та всіма гарантіями Дія Сіті резидента. Гнучкий графік. Компенсація навчання Заняття англійською. Медичне страхування. Комплект системи безпеки Ajax (участь у проєкті бета-тесту — отримання та тестування нових гаджетів до їх релізу). Драйвову команду та zero bullshit culture. Долучайтеся, щоб зробити Made in Ukraine синонімом надійності!

Разрабатывать и развивать пайплайны данных и платформенный слой, от которого зависят AI-продукты компании; Анализировать использование LLM: стоимость, экономику токенов и кеширования, финансовую отчетность по расходам на AI;

Location: New York, NY, United States About Us Fanatics is building a leading global digital sports platform. We ignite the passions of global sports fans and maximize the presence and reach for our hundreds of sports partners globally by offering products and services across Fanatics Commerce, Fanatics Collectibles, and Fanatics Betting & Gaming, allowing sports fans to Buy, Collect, and Bet. Through the Fanatics platform, sports fans can buy licensed fan gear, jerseys, lifestyle and streetwear products, headwear, and hardgoods; collect physical and digital trading cards, sports memorabilia, and other digital assets; and bet as the company builds its Sportsbook and iGaming platform. Fanatics has an established database of over 100 million global sports fans; a global partner network with approximately 900 sports properties, including major national and international professional sports leagues, players associations, teams, colleges, college conferences and retail partners, 2,500 athletes and celebrities, and 200 exclusive athletes; and over 2,000 retail locations, including its Lids retail stores. Our more than 22,000 employees are committed to relentlessly enhancing the fan experience and delighting sports fans globally. About the Team Launched in 2021, Fanatics Betting and Gaming is the online and retail sports betting subsidiary of Fanatics, a global digital sports platform. The Fanatics Sportsbook is available to 95% of the addressable online sports bettor market in the U.S. Fanatics Casino is currently available online in Michigan, New Jersey, Pennsylvania and West Virginia. Fanatics Betting and Gaming operates twenty-two retail sports betting locations, including the only sportsbook inside an NFL stadium at Northwest Stadium. Fanatics Betting and Gaming is headquartered in New York with offices in Denver, Leeds and Dublin. About the Role We’re looking for a Staff Data Engineer to join our Data Engineering team, which builds and governs the data foundation that powers the business. You’ll set technical direction for our stack (Python ingestion pipelines, Airflow orchestration, and Snowflake/Databricks) and make sure data moves reliably, securely, and cost-effectively from source to decision-ready output. This is a senior individual-contributor role with broad scope and influence. You’ll own the architecture of our most critical data systems, define the standards the team builds against, and take on novel, ambiguous, high-stakes problems that don’t have a runbook. You’ll be accountable for outcomes, not just deliverables. Responsibilities Own the architecture and design of ingestion pipelines, orchestration frameworks, and data delivery systems, producing design docs that DE2s, DE3s, and senior engineers can implement against Define and evolve the team’s frameworks, conventions, and reference patterns for pipelines, Airflow DAGs, testing, monitoring, and catalog registration so new sources onboard quickly and consistently Lead diagnosis of the novel data integrity, performance, and reliability problems that escalate past senior engineers, driving systemic fixes and turning recurring failures into runbooks, automation, or better design Set and track reliability standards (SLOs, alerting, on-call health) and reduce operational toil Lead data security and governance strategy, including PII masking, RBAC, data classification, and lineage, in partnership with Security, Legal, and Compliance Design reverse ETL and data delivery integrations (e.g., Segment, LaunchDarkly, Kafka, S3) with clear SLAs, downstream-impact analysis, and failure-handling guarantees Drive platform decisions on Snowflake, Databricks, and AWS, including cost optimization, capacity planning, and build-vs-buy evaluation Lead spec and design review, anticipating downstream impact, race conditions, idempotency gaps, and failure modes before code is written, and review high-risk PRs with rigor Partner with BI, Data Science, Product, and business leadership to turn ambiguous requirements into scalable solutions, prioritize competing demands, and shape the roadmap Mentor engineers at every level, represent the team in cross-functional forums, pay down technical debt, and participate in hiring Experience and Skills 8+ years of professional software or data engineering experience, including significant experience owning production data platforms at scale A track record of designing and delivering large, cross-team data systems from ambiguous requirements through production operation Expert-level Python and SQL, with deep experience in ETL/ELT patterns for complex, high-volume transformations Deep expertise in Airflow / Managed Workflows for Apache Airflow, including DAG design at scale and operational best practices Strong command of pipeline fundamentals: idempotency, backfills, schema evolution, late-arriving data, data quality frameworks, and failure recovery Hands-on experience with several of Snowflake, Databricks, AWS, dbt, Tableau, MongoDB, and PostgreSQL, with the judgment to choose the right tool for the job Experience building data security and governance capabilities (PII masking, RBAC, catalog/lineage) and reusable pipeline frameworks that other engineers extend Strong testing, CI/CD, and code review practices, and the ability to set those standards for a team Proven ability to mentor engineers, influence without authority, and build alignment across teams Excellent written and verbal communication, including design docs, tradeoff analysis, and incident write-ups Nice to Have Experience with reverse ETL, real-time or streaming data (e.g., Kafka), and observability tooling (e.g., Datadog) Experience with FinOps and cost governance on cloud data platforms Background in gaming, betting, e-commerce, or another regulated industry, including audit, compliance, and responsible handling of PII Experience leading platform migrations or major re-architectures Depending on the role, your interview and onboarding experience may include in-person components, such as onsite interviews or Launching into Better: LIVE—a multi-day cultural immersion in New York City for full-time, non-seasonal hires. These sessions are designed to build connection and bring our culture to life, though specific travel and participation requirements will be confirmed based on your role and location. Your recruiter will provide clear guidance at each stage of the process. For information about our benefits, please visit https://benefitsatfanatics.com/ #LI-Remote #LI-AL1 Ranges will change based on country and state of residence, which are reflected in Geographical Zones defined by Fanatics Betting and Gaming. The range incorporates all of our Geographical Compensation Zones and is subject to change as the Zone associated with the actual offer is confirmed. In addition to the base and bonus, full-time employment, and more. For information about our benefits, please visit https://benefitsatfanatics.com/ Salary Range $180,500 — $237,500 USD By submitting your application, you agree to our terms of service and acknowledge you have read our Candidate Privacy Policy. Fanatics will never ask candidates for money, banking information, or other sensitive personal information as part of the interview process. If you receive a suspicious message claiming to be from Fanatics recruiting, please do not respond and report it here .