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• Взять ownership за один из ключевых каналов привлечения: Meta Ads или Google Ads. • Провести аудит текущих кампаний, найти точки роста и исправить проблемные места.

Location: Montevideo, Uruguay; Remote.AR, Remote.LATAM-country; Remote.CO, Colombia; Rosario, Remote.LATAM-country We are looking for a Machine Learning Engineer with a strong software engineering background to help design and build the corporate analytics platform. In this role, you will contribute both technically and consultatively by identifying limitations, gathering needs and shaping scalable and reliable data and AI solutions. You will contribute to an Analytics Platform that helps turn data and AI assets into business value at scale. The platform is built for large scale digital analytics workloads and includes capabilities comparable to enterprise analytics solutions, with a strong software engineering approach applied to data engineering. Design, build, maintain and operate the corporate digital-analytics data platform. Architect scalable, resilient, high-performance solutions for high-volume, high-transaction data. Develop and maintain ingestion, transformation and load pipelines (batch and streaming). Apply solid data modeling and SQL transformations; manage partitioning for performance and cost. Implement data governance, cataloging, lineage and access controls (security and compliance). Define and follow CI/CD standards for data and AI; apply software-engineering best practices. Operate consultative identify platform limitations, gather requirements and propose solutions. Proven experience in data platform roles, with a strong software-engineering foundation. Solid software design and architecture skills (not only pipeline authoring). Experience with high-volume / high-transaction data platforms. SQL plus a programming language (Python, Java or Scala); Pandas for data processing. Pipeline orchestration (DAGs, Dataform) and data modeling. GCP data stack: BigQuery (partitioning), lakehouse/warehouse, storage, streaming. Google Analytics / GA4 and clickstream data (GA4 → BigQuery export). Data governance, cataloging and cost/performance optimization. Cloud architecture, CI/CD, infrastructure-as-code and containers. MLOps on Vertex AI: model deployment, serving, monitoring and versioning; feature stores and model registries. Ability to operate consultative with technical and business stakeholders; Agile experience. Fluency in Spanish (team language). Experience with LangChain Experience with Agents Experience with Vector DBs

Location: Redwood City, CA, United States WHAT IS BOX? Box (NYSE:BOX) is the leader in Intelligent Content Management. Our platform enables organizations to fuel collaboration, manage the entire content lifecycle, secure critical content, and transform business workflows with enterprise AI. We help companies thrive in the new AI-first era of business. Founded in 2005, Box simplifies work for leading global organizations, including JLL, Morgan Stanley, and Nationwide. Box is headquartered in Redwood City, CA, with offices across the United States, Europe, and Asia. By joining Box, you will have the unique opportunity to continue driving our platform forward. Content powers how we work. It’s the billions of files and information flowing across teams, departments, and key business processes every single day: contracts, invoices, employee records, financials, product specs, marketing assets, and more. Our mission is to bring intelligence to the world of content management and empower our customers to completely transform workflows across their organizations. With the combination of AI and enterprise content, the opportunity has never been greater to transform how the world works together and at Box you will be on the front lines of this massive shift. WHY BOX NEEDS YOU Box is looking for a Software Engineer with operational skillset to join our evolving Cloud Operations and support an industry-leading platform. In this role, you will be at the heart of that transformation: identifying issues and driving them to swift resolution, while leveraging your software engineering expertise to design and build the tools, automation, and processes that define the next generation of cloud operations. You will shape how we improve manageability, observability, and resiliency of our most critical services, and drive down MTTx so that when incidents happen, we respond faster and smarter than ever before. We are on an exciting journey of change - reimagining how we operate at scale - and we need the best talent possible to get us there. That's where you come in! WHAT YOU’LL DO You’ll be part of the core operations team focused on leveraging AiOps in the incident management process Utilize both your technical and communication skills to lead incidents as Incident Commander through rapid incident resolutions Understand problems affecting the customer experience thoroughly enough to identify and advocate for the best solution Model solid engineering practices around architectural design, testability, scalability and maintainability and contribute effectively to technical discussions across the team. Build tools and processes to improve proactive monitoring and alerting, incident response, reducing toil, enhancing documentation, increasing observability coverage, and addressing technical debt as part of regular work. Get to work across organizational boundaries - collaborating with IT Operations, Corporate Security, Public Cloud, and Engineering teams to ensure high availability of all Box services. Participate in on-call rotation and drive improvements to incident response and system resilience. WHO YOU ARE We are an AI-first company. This means you approach your work with a growth mindset and find ways to leverage AI to help make faster, smarter decisions that will 10X your impact at Box. You have 4+ years of professional software development experience in an object-oriented or functional programming language, such as Python; including 2+ years of experience with large-scale production operations or reliability engineering practice Systems thinker who can break down ambiguous problems, propose pragmatic solutions, and measure outcomes Experience with working with Kubernetes and Public Cloud (preferred GCP, AWS) Familiarity with observability, monitoring, and alerting tools, including querying and analyzing logs and metrics at scale (e.g., Splunk, BigQuery, Prometheus/Chronosphere, Grafana, SignalFx) Effective analytical, planning, organizational, and documentation skills Bachelor's degree in Computer Science or Information Systems or similar work experience You are passionate about taking on new challenges, you are a life-long learner who seeks out knowledge Experience with Infrastructure as Code (e.g., Terraform) and CI/CD a plus Experience leading incident response for production incidents is a plus Box lives its values, with community and in-person collaboration being a core part of our culture. Boxers are expected to work from their assigned office a minimum of 3 days per week.Your Recruiter will share more about how we work and company culture during the hiring process. At Box, we believe unique and diverse experiences benefit our culture, our products, our customers, our company, and our world. We aim to recruit a passionate, high-performing workforce that reflects the world we live in. If you are head-over-heels about this role but unsure if you meet all the requirements, we encourage you to apply! EQUAL OPPORTUNITY We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability, and any other protected ground of discrimination under applicable human rights legislation. Box strives to respect the dignity and ‎‎independence of people with disabilities and is committed to giving them the same ‎‎opportunity to succeed as all other employees. Inclusiveness is core to our culture at Box, and we strive to ensure you get the most from your interview experience. Box makes reasonable accommodations for applicants with disabilities. If a reasonable accommodation is needed to participate in the job application or interview process, please complete this form . Reasonable accommodations may include scheduling adjustments, document dictation and beyond. Notice to applicants in Los Angeles:  Box, Inc and its related branches will consider for employment, qualified applicants with criminal histories in a manner consistent with the Los Angeles Fair Chair Ordinance.  The Fair Chance Ordinance is provided here . Notice to applicants in San Francisco:  Box, Inc and its related branches will consider for employment, qualified applicants with criminal histories in a manner consistent with the San Francisco Fair Chair Ordinance.  The Fair Chair Ordinance is provided here . For details on how we protect your information when you apply, please see our Personnel Privacy Notice. If you are a California-resident, please read our California Applicant & Candidate Privacy Notice here . NOTICE OF USE OF AI At Box, we believe in the power of AI to improve the recruiting process while keeping people at the heart of every decision. For more information on the use of AI in our hiring process, please visit our webpage here . Box is committed to fair and equitable compensation practices. Actual base salary (or OTE if commissionable role) is dependent upon factors such as: knowledge, skill level, experience, and work location. This role is also eligible for equity and benefits. For more information , check out our benefits and perks . In accordance with OFCCP compliance, here is the Pay Transparency Provision . Redwood City Pay Range $165,000 — $206,500 USD

– 3–5 лет опыта в аналитике и степень магистра в технической или количественной области. – Уверенный SQL, желательно BigQuery или аналогичные DWH.

Location: Dallas, USA; New York, USA; Orlando, USA We are looking for a Senior Python Engineer who writes production code every day. You will build new components and refactor business-built tools into well-engineered applications. You will work directly with portfolio managers to understand how the tools are used and what must not break. This is a 100% hands-on role, not an advisory or architectural role. On-site at the client’s office in Downers Grove, IL (Chicago area), 3 days/week Duration: 12+ months The estimated salary range for this position is $140,000 to $160,000 per year. Design, develop, and maintain production-grade Python applications and APIs. Refactor and modernize Python/Excel tools built by business teams by adding tests, structure, security, and observability. Work directly with portfolio managers and front-office users to clarify requirements and validate results. Build data-intensive and analytics features using SQL and cloud data platforms. Contribute to CI/CD, automated testing, and code reviews. Apply AI-assisted development practices where they improve speed and quality. 5+ years of hands-on experience in production Python development. Python is the main language in your current role. ETF or investment front-office experience (asset management, investment banking, or capital markets). At a minimum, you have worked directly with portfolio managers or traders. Experience modernizing legacy or business-built applications. Strong SQL skills and experience with cloud platforms (AWS preferred). Experience with API design and integration, automated testing, CI/CD, and Git. Ability to gather requirements directly from business users and communicate clearly with non-technical stakeholders. Willingness to work on-site in Downers Grove 3 days/week. Experience with fixed-income ETFs, portfolio management, or investment analytics. Experience with Aladdin, BNY, or comparable investment platforms. Experience with Snowflake, Redshift, Databricks, or BigQuery. Experience with AI-enabled development, agentic workflows, or AI-assisted SDLC.

Спроектировать и внедрить сквозную аналитику с нуля: от measurement plan до витрин данных и дашбордов. Описать и поддерживать таксономию событий (event naming, параметры, user properties), чтобы новые продукты/страницы подключались быстро и без “ручных костылей“.

Location: Denver, Colorado, United States, AMER From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About Us Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites. About the Role Fivetran is building data pipelines to power the modern data stack for thousands of companies. As the Manager on the GTM Finance and Strategy team, you’ll operate at the center of go-to-market strategy — owning and building critical models to forecast ARR and GAAP Revenue, analyzing and providing perspective around strategic initiatives, and delivering insights that shape executive and Board decisions. You’ll partner closely with Analytics, Revenue Accounting, Revenue Operations, External Reporting, and GTM leadership. This role reports to the Sr. Manager of GTM Finance and blends strategic finance, data storytelling, technical problem-solving, and operational execution. You’ll drive forward-looking planning, help scale our forecasting infrastructure for a hybrid pricing motion that includes both subscription contracts and usage-based (consumption) revenue, and support high-visibility initiatives across the function. This is a high-impact role ideal for someone who is passionate about leveraging data and financial insight to guide strategy and operational execution in a high-growth, cross-functional environment. This is a full-time, hybrid position based out of our Oakland, CA or Denver, CO office. Our hybrid work model offers a blend of remote flexibility and in-person collaboration, including two days in the office each week to connect and build as a team. Tools/Technologies You’ll Use Claude / ChatGPT, Looker, SFDC, BigQuery, G-Suite What You’ll Do Revenue Modeling & Forecasting: Own and re-evaluate our rolling GAAP revenue and ARR forecast models, including renewal behavior (NRR), new business, and contract-level revenue recognition across subscription and consumption-based streams. Evolve forecasting frameworks using both deterministic and AI/ML-driven approaches. Usage-Based Revenue: Build and maintain forecasting approaches for consumption revenue, including committed vs. overage usage, breakage, and the migration of customers between pricing models Business Partnering: Serve as a key advisor and partner to COO, CFO, and collaboration with Analytics, delivering actionable insights to improve efficiency, optimize investments, and accelerate growth. Strategic Decision Support: Deliver analysis that informs GTM investment, pricing and packaging, and target setting, and quantify the revenue impact of key business risks and opportunities Budgeting & Forecasting: Support annual planning and monthly/quarterly forecast cycles; partner closely with Revenue Accounting on close, variance analysis, and forecast-to-actual (BvA) tracking Performance Analysis: Own key revenue and retention metric packages — including NRR, ARPA, new business mix, ROI, and cohort trends — and surface insights to the CFO, executives, and the Board Forecast & Reporting Infrastructure: Use AI Tools, or SQL (BigQuery) / Python to automate data pulls, build repeatable and auditable models, and improve the accuracy, speed, and transparency of our topline forecast; partner with Analytics, AI Transformation and Systems on data quality, integrity and self-serve reporting capabilities. Executive Reporting: Create compelling, automated, executive-ready reports, dashboards, and narratives that distill complex data, trends, forecasts, and strategic implications into actionable recommendations for Finance leadership and GTM stakeholders. Team Leadership: Provide technical guidance, review work, and help raise the modeling standards and work products of the GTM FP&A team Skills We’re Looking For 5-7 years of experience in FP&A, strategic finance, revenue finance, or investment banking, with a strong focus on revenue forecasting Expert-level modeling skills (Excel/Sheets) with a commitment to formula-driven, driver based, auditable, well-documented models Experience with usage-based or consumption pricing models strongly preferred Technical aptitude: working proficiency in SQL, Python, or similar scripting, and hands-on use of AI tools to accelerate and elevate modeling, strategic analysis, and QA; experience with BI tools (e.g., Looker) and data warehouses (e.g., BigQuery, Snowflake) a plus Ownership mindset: takes a model or process from ambiguity to a repeatable, documented workflow with minimal oversight, including QA and reconciliation to source data Data storytelling: translates complex data into clear insights and recommendations for senior, non-finance audiences, with strong executive presence and attention to detail Demonstrated ability to partner cross-functionally and influence without authority Excellent communication skills with high attention to detail and executive presence Adaptable, resourceful, and excited by the challenge of working in a fast-moving, growth-stage company #LI-Hybrid The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role.  Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process. Denver Pay Range $138,847 — $173,559 USD Perks and Benefits 100% employer-paid medical insurance * Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. * May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes . Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here . We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.

Location: Denver, Colorado, United States, AMER; Oakland, California, United States, AMER 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. As the Manager on the GTM Finance and Strategy team, you’ll operate at the center of go-to-market strategy — owning and building critical models to forecast ARR and GAAP Revenue, analyzing and providing perspective around strategic initiatives, and delivering insights that shape executive and Board decisions. You’ll partner closely with Analytics, Revenue Accounting, Revenue Operations, External Reporting, and GTM leadership. This role reports to the Sr. Manager of GTM Finance and blends strategic finance, data storytelling, technical problem-solving, and operational execution. You’ll drive forward-looking planning, help scale our forecasting infrastructure for a hybrid pricing motion that includes both subscription contracts and usage-based (consumption) revenue, and support high-visibility initiatives across the function. This is a high-impact role ideal for someone who is passionate about leveraging data and financial insight to guide strategy and operational execution in a high-growth, cross-functional environment. This is a full-time, hybrid position based out of our Oakland, CA or Denver, CO office. Our hybrid work model offers a blend of remote flexibility and in-person collaboration, including two days in the office each week to connect and build as a team. Tools/Technologies You’ll Use Claude / ChatGPT, Looker, SFDC, BigQuery, G-Suite What You’ll Do Revenue Modeling & Forecasting: Own and re-evaluate our rolling GAAP revenue and ARR forecast models, including renewal behavior (NRR), new business, and contract-level revenue recognition across subscription and consumption-based streams. Evolve forecasting frameworks using both deterministic and AI/ML-driven approaches. Usage-Based Revenue: Build and maintain forecasting approaches for consumption revenue, including committed vs. overage usage, breakage, and the migration of customers between pricing models Business Partnering: Serve as a key advisor and partner to COO, CFO, and collaboration with Analytics, delivering actionable insights to improve efficiency, optimize investments, and accelerate growth. Strategic Decision Support: Deliver analysis that informs GTM investment, pricing and packaging, and target setting, and quantify the revenue impact of key business risks and opportunities Budgeting & Forecasting: Support annual planning and monthly/quarterly forecast cycles; partner closely with Revenue Accounting on close, variance analysis, and forecast-to-actual (BvA) tracking Performance Analysis: Own key revenue and retention metric packages — including NRR, ARPA, new business mix, ROI, and cohort trends — and surface insights to the CFO, executives, and the Board Forecast & Reporting Infrastructure: Use AI Tools, or SQL (BigQuery) / Python to automate data pulls, build repeatable and auditable models, and improve the accuracy, speed, and transparency of our topline forecast; partner with Analytics, AI Transformation and Systems on data quality, integrity and self-serve reporting capabilities. Executive Reporting: Create compelling, automated, executive-ready reports, dashboards, and narratives that distill complex data, trends, forecasts, and strategic implications into actionable recommendations for Finance leadership and GTM stakeholders. Team Leadership: Provide technical guidance, review work, and help raise the modeling standards and work products of the GTM FP&A team Skills We’re Looking For 5-7 years of experience in FP&A, strategic finance, revenue finance, or investment banking, with a strong focus on revenue forecasting Expert-level modeling skills (Excel/Sheets) with a commitment to formula-driven, driver based, auditable, well-documented models Experience with usage-based or consumption pricing models strongly preferred Technical aptitude: working proficiency in SQL, Python, or similar scripting, and hands-on use of AI tools to accelerate and elevate modeling, strategic analysis, and QA; experience with BI tools (e.g., Looker) and data warehouses (e.g., BigQuery, Snowflake) a plus Ownership mindset: takes a model or process from ambiguity to a repeatable, documented workflow with minimal oversight, including QA and reconciliation to source data Data storytelling: translates complex data into clear insights and recommendations for senior, non-finance audiences, with strong executive presence and attention to detail Demonstrated ability to partner cross-functionally and influence without authority Excellent communication skills with high attention to detail and executive presence Adaptable, resourceful, and excited by the challenge of working in a fast-moving, growth-stage company #LI-Hybrid The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role.  Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process. Oakland Pay Range $148,104 — $185,130 USD Perks and Benefits 100% employer-paid medical insurance * Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. * May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes . Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here . We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.

Location: Remote, New York, 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 to hire a Senior Solutions Architect, Enterprise to join our Field Engineering team. As a Solutions Architect, you will be a trusted technical advisor to some of our largest and most strategic customers, helping them evaluate, adopt, and expand their use of dbt. You’ll partner closely with Sales to understand customers’ technical and business priorities, design solutions using the dbt platform, and demonstrate measurable value throughout the evaluation process. You’ll work across the customer lifecycle—from technical discovery and evaluation through adoption and expansion—while partnering with Product, Engineering, and our technology partners to bring customer needs back into the business. This is a full-time position based in the New York City metro area. Technologies You’ll Use SQL, dbt, cloud data warehouses and lakehouses including Snowflake, Databricks, and BigQuery, AWS, Azure, and GCP, modern data integration and orchestration technologies, and AI-assisted productivity tools. What You’ll Do Lead technical discovery with enterprise customers, connecting technical requirements to business outcomes and measurable success criteria Design enterprise-grade data transformation and analytics architectures using dbt Partner with Sales to communicate the technical and business value of the dbt platform Lead customer evaluations and technical validation, including trials and proof-of-value engagements when appropriate Build trusted relationships with technical practitioners, data leaders, and executive stakeholders Guide customers through technical architecture, security, governance, and deployment considerations Partner across the customer lifecycle to support successful adoption and identify opportunities for expansion Bring customer and field insights to Product and Engineering to help influence product strategy and roadmap Build strong relationships with technology and consulting partners, including Snowflake, Databricks, AWS, and other members of the modern data ecosystem Contribute technical expertise, reusable best practices, and thought leadership to the broader Field Engineering organization and dbt community Skills We’re Looking For 4+ years of experience in sales engineering, solutions architecture, consulting, or a similar customer-facing technical role within data, analytics, or BI Strong technical foundation in SQL, data transformation, ETL/ELT, and data modeling Strong understanding of modern cloud data warehouse, lake house, and analytics architectures Ability to uncover and translate technical and business requirements into concrete solutions and measurable outcomes Excellent written and verbal communication skills, with the ability to explain complex technical concepts to both technical and non-technical audiences Ability to establish credibility and build trusted relationships with stakeholders ranging from data practitioners to senior executives Ability to operate effectively in a fast-paced, evolving environment while collaborating across Sales, Product, Engineering, and Customer teams Bonus Skills​ Experience with dbt or analytics engineering Experience with Snowflake, Databricks, BigQuery, or other modern cloud data platforms Experience with data modeling methodologies such as dimensional modeling, Kimball, Data Vault, or 3NF Experience with enterprise data integration or ETL platforms such as Informatica, Boomi, or Talend Experience supporting complex enterprise technical evaluations, migrations, or transformation initiatives 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 80% base salary and 20% 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) $219,463.15 — $274,329.23 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: Quito, Ecuador Workplace: remote We are looking for a Supervisor to act as the single owner of courier and cargo onboarding flows, verification processes, and regulatory compliance for the Delivery Hub in Ecuador. In this role, you will sit within the Supply department, which builds and protects our supply base across all geographies, and bridge the gap between regulatory rigor, product experience, and funnel conversion. Your job is simple to describe but difficult to execute: build a seamless, compliant onboarding machine that converts leads into active couriers while protecting the business against regulatory risks in Ecuador. Key Responsibilities Own the courier and freight registration and verification funnel end-to-end in Ecuador holding final accountability for the aha-moment conversion rate. Develop the WatchDocs (registration platform) flow with the product team and agree on form configurations for the country. Monitor funnel metrics, diagnose anomalies, and run drop-off research (surveys, courier calls, field tests with local teams). Plan and execute WatchDocs data migrations from old to new platforms in Ecuador, tracking impact on registrations and conversion to avoid supply disruption. Own KYC, identity verification, and document requirements for the Courier and Freight verticals in Ecuador. Drive compliance platform features with engineering teams and maintain central compliance dashboards. Represent Delivery Hub in cross-vertical compliance discussions, balancing legal and regulatory risk against funnel performance with data-backed arguments. Prepare Ecuador  for upcoming regulatory changes (e.g., labor and platform reforms) and support new launches in highly regulated environments. Run supply funnel optimization projects, quantifying business impact (conversion, GMV, Net Revenue) together with analytics. Own onboarding and compliance streams in quarterly and annual planning, maintaining single-source dashboards and concise decision-oriented materials for senior leadership. Support the launch of fleet project in Ecuador. Qualifications Experience: 4+ years in project management or operations within ride-hailing, delivery, or marketplace platforms in Ecuador. Hands-on experience with registration/onboarding funnels, identity verification (KYC), or regulatory projects in these markets is a strong advantage. Technical & Data Skills: Proficiency in SQL (BigQuery) for independent data extraction/validation, experience building BI dashboards (Tableau or similar), and project management tool mastery (Jira, Confluence). Domain Expertise: Deep understanding of KYC/identity verification flows and core marketplace metrics (GMV, active supply, done rate, activation, funnel conversion), including local document and verification requirements in Ecuador. Regulatory-to-Product Translation: Strong ability to translate complex legal and regulatory mandates in Ecuador.  (e.g., labor and platform regulations) into clear product requirements while quantifying their business impact. Stakeholder & Cross-Cultural Management: Fluent in Spanish and English; Portuguese is an advantage. Strong communication skills for working with local teams across Ecuador. Confident pushing back on stakeholders with data when proposed requirements threaten conversion. Mindset: Extreme end-to-end ownership, pragmatic problem-solving in fast-changing regulatory environments, high execution discipline, and a long-term strategic vision. Why join us Help us challenge injustice by creating fair choices for millions of people across 47 countries. Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program. Engage in company-wide challenges, awards, sports activities, and social impact projects. Work alongside people who take initiative, speak openly, and challenge themselves to grow. Final benefits may vary depending on the location.

Location: Abu Dhabi, United Arab Emirates Workplace: hybrid About the role We are preparing the data foundation for our autonomous-driving work, and we are hiring the engineer who will start it. Today we collect street-level imagery and GPS tracks from vehicle cameras, including our own camera units with NVIDIA edge devices on board, and use them to update maps. Next comes a dedicated survey vehicle with a full sensor set: multi-camera, IMU, LiDAR. You will start with the imagery and map data pipelines we run today, and as the sensor platform arrives, you will build the pipelines that turn its data into training datasets for autonomous-driving models. Key Responsibilities Build the pipelines that move multi-sensor data (multi-camera video, IMU, LiDAR, GPS) from vehicles into cloud storage, synchronize and geo-reference the streams Own the storage layout and lifecycle for sensor data: partitioning, hot and archival tiers, cost control as volume grows Build validation and monitoring on the ingest path: incomplete uploads, missing or unsynchronized streams, vehicles that stopped producing usable data Prepare training datasets for autonomous-driving models: select data by location, route, and conditions, version datasets, and deliver them in the formats ML teams need Until then: take over and develop the current imagery and GPS-track pipelines from vehicle cameras, and contribute to geodata pipelines (ingestion from company data, OpenStreetMap, Overture Maps and vendors, conflation, validation, publication) Work with company data in BigQuery and keep spatial queries fast on large PostGIS and GeoParquet tables Skills, Knowledge & Expertise 4+ years in data engineering Experience with multi-sensor data from vehicles or robots: cameras, IMU or LiDAR, and keeping the streams in sync Experience preparing training datasets for computer vision or autonomous-driving models. Large volumes of binary or media data in object storage (S3 or GCS); distributed processing (Spark or equivalent) Hands-on experience with spatial data: PostGIS, GeoPandas/Shapely, coordinate reference systems, GPS tracks Strong Python and SQL; AWS or GCP, Docker, Kubernetes Nice to have Sensor data formats such as ROS2 bag, MCAP or point clouds Parquet, Delta or Iceberg; Databricks Argo Workflows or Airflow OpenStreetMap and Overture Map QGIS BigQuery Why join us Help us challenge injustice by creating fair choices for millions of people across 47 countries. Develop your professional skills with access to mentoring, career consulting, and learning programs Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects Work alongside people who take initiative, speak openly, and challenge themselves to grow Improve your language skills through co-financed courses and internal speaking clubs Final benefits may vary depending on the location.

Location: Tbilisi, Georgia Workplace: hybrid We are looking for a Senior Data Project Manager to join inDrive's Data Platform. You will work in close partnership with the Engineering Managers of two core teams, Data Ops and Data Delivery, and coordinate projects that span multiple data platform teams: for example, onboarding data from external partners and orchestrating its downstream transformation into analytics-ready data marts. Key Responsibilities Coordinate cross-functional Data Platform (DWH) initiatives end-to-end, from source-system integration through the warehouse to analytical data marts Act as the single point of accountability for initiative outcomes, ensuring value delivery within expected timeframes Drive projects that cut across several teams, e.g. partner data ingestion followed by transformation and modeling, aligning scope, sequencing, and ownership between Data Ops, Data Delivery, and adjacent teams Work in tandem with the Engineering Managers of Data Ops and Data Delivery on planning, capacity, and execution; participate in the operational management of the teams Own project and initiative schedules: identify risks, dependencies, and potential slippage early, and communicate them promptly to all stakeholders Manage priorities across product-driven requests from internal data consumers and long-term platform investments (reliability, data quality, governance, security) Build a process for continuous improvement of team metrics: delivery performance, quality, engagement, and team maturity Facilitate project- and program-level events (planning, syncs, retros, stakeholder reviews) Translate between business and technical teams, keeping internal consumers, engineering, and leadership aligned Skills, Knowledge and Expertise 3+ years of project or program management experience in Data Platform, Data Warehousing (DWH), or Analytics environments Demonstrated success managing complex initiatives with multiple stakeholders, teams, and moving parts Solid command of modern goal-setting and project management tools Exceptional communication and stakeholder alignment skills: able to translate between business and technical audiences Highly organized, with strong prioritization, risk management, and accountability-driving skills Strong systems thinker; brings clarity and structure to ambiguity Nice to have Hands-on experience in Data Platform / Data Warehouse ecosystems: understanding of data pipelines, ODS-to-data-mart layering, streaming and batch delivery, data governance Experience in high-growth consumer tech Familiarity with modern data stack tooling (dbt, Airflow, Kafka, BigQuery or similar cloud DWH) Why join us Help us challenge injustice by creating fair choices for millions of people across 47 countries Develop your professional skills with access to mentoring, career consulting, and learning programs Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects Work alongside people who take initiative, speak openly, and challenge themselves to grow Improve your language skills through co-financed courses and internal speaking clubs Annual salary from 70 100 EUR gross Final benefits may vary depending on the location.

Location: Cairo, Egypt Workplace: hybrid We are looking for a Senior Data Engineer to join one of the Data Platform teams that works with the Marketing, Growth, partner, and financial data domains. You will be working with cutting edge cloud technologies (GCP, AWS, BigQuery, Databricks, K8s) and building a large scale data infrastructure for analytics, machine learning, and streaming/CDC data delivery. Key Responsibilities Build and operate batch and streaming ingestion into a layered BigQuery DWH (raw → ODS → data marts) using Airflow, Debezium CDC over Kafka with protobuf, Pub/Sub, and Dataflow Integrate external data sources end-to-end — marketing platforms (GA4, AppsFlyer, TikTok/Meta/Google Ads), payment providers, S3 buckets, and third-party APIs — including schema contracts, backfills, and reconciliation Engineer the data platform itself in Python: custom Airflow operators and connectors in a shared ETL framework, Kafka Connect on Strimzi (K8s), Cloud Functions, and API integrations with external providers Build CI/CD and change-management tooling for BigQuery: GitHub-based test-and-approval flows, SQL migration engines (Liquibase/Flyway/Bytebase), sandbox validation, backup and rollback Own reliability and correctness of pipelines: idempotency, deduplication, late-data handling, backfill and replay, freshness monitoring and alerting; write integration and unit tests Drive data governance and compliance: ITGC-compliant change management for BigQuery, IAM and least-privilege access, PII policy tags and DLP, Unity Catalog on Databricks, column-level lineage (OpenMetadata/Dataplex), and disaster-recovery planning Build internal data tools and platform services for agentic workflows with data — Streamlit apps, Slack bots, LLM-based agents and MCP servers that help teams find and use data Support analysts and business teams with data requests, fostering data-driven decision-making across the company Contribute to system design and architecture with the development team Skills, Knowledge and Expertise Strong practical Python: clean, well-structured, and tested code for services, tooling, and data pipelines Solid software design skills (OOP, modularity, design patterns) — we build platform tools for agentic workflows with data and plan to develop data-related backend services, so well-designed code is highly valued Experience building and operating services in a cloud environment (GCP, AWS or similar): CI/CD, containerization, monitoring and alerting Familiarity with Kubernetes and Terraform — our infrastructure runs on GCP/K8s Hands-on experience with DWH-related tasks (BigQuery or another cloud warehouse) and confident working SQL Clear communication with non-engineering stakeholders — a meaningful share of the work is data requests from analysts and business teams Demonstrated ability to take ownership of technologies or services and proactively contribute ideas to the team Nice to have Advanced SQL: complex queries, window functions, partitioning, clustering, and cost optimization Experience building reliable pipelines around CDC (e.g., Debezium): idempotency, schema evolution, backfills, and reconciliation Analytical data modeling skills: table grain, facts vs dimensions, slowly changing dimensions, and metric definitions Experience with stream processing frameworks such as Flink or Apache Beam/Dataflow Exposure to data governance and audit compliance (ITGC/SOX), Databricks Unity Catalog, or lineage/catalog tooling (OpenMetadata, Dataplex) Interest in building LLM-based agents and AI tooling for data Why join us Help us challenge injustice by creating fair choices for millions of people across 47 countries. Develop your professional skills with access to mentoring, career consulting, and learning programs. Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program. Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects. Work alongside people who take initiative, speak openly, and challenge themselves to grow. Improve your language skills through co-financed courses and internal speaking clubs. Final benefits may vary depending on the location.

Location: Mexico AI Product Builder Improvado is an AI-powered, unified platform designed for marketing teams in medium to large-scale enterprises and agencies, who are looking to automate complex marketing intelligence and reporting to make decisions with ease. Improvado gathers, organizes, and untangles marketing data to deliver instant insights through BI and AI, helping to eliminate complexity, delivering laser-focused insights to optimize budgets, enhance campaign efficiency and marketing ROI. About the role As an AI Product Builder you own one product area end to end. Which area depends on where we need you most, and the work is the same in all of them. Our products turn marketing data into decisions, and each of them has the same failure mode: it tells the customer something and stops there. Your job is to find where your area stops short of causing a decision, build the part that closes that gap, and show that somebody acted. You will build hands-on with AI, shape the roadmap, work directly with engineering teams and with customers, and decide what a good recommendation looks like for a different persona on the same data - a media buyer, an analyst and a CMO do not want the same thing. Responsibilities Own the product area end to end, from idea to delivery, and define how the roadmap evolves Close the gap between what the product reports and what the customer does about it: decide what gets recommended and to whom, and build the loop that makes those recommendations better over time Work hands-on with AI, from mockups and prototypes through to production code for smaller features, alongside an engineering team of three to ten people Run customer discovery yourself and turn it into roadmap decisions Define and measure the metrics that prove the product caused someone to act Build and maintain automated workflows using AI tools, scripting and the modern data stack Collaborate with Product, BI and CSM teams on architecture decisions and customer data requirements Qualifications Product ownership experience - able to take a problem end to end with minimal hand-holding, and point at things you built that are still in use Demonstrated use of AI tools in daily work: Claude Code, agentic coding, prompt engineering, with a clear view of what you deliberately do not delegate Experience building an AI agent and making it reliable in production Marketing or revenue data domain experience, and you have computed those metrics yourself rather than receiving them from an analyst Comfortable working with engineers as a peer rather than across a handoff Strong SQL ; Python for data processing and automation Fluent English - there are customer calls and escalations in this role Availability to overlap US Pacific business hours (or at least East) Nice to have Hands-on ETL/ELT pipeline experience (BigQuery, Snowflake, Redshift, or ClickHouse) Experience working directly with clients on technical requirements BI tools (e.g. Superset) for operational reporting Process A screening call, a 45-minute call with the VP of Product, a take-home designed for 90 minutes to two hours, and a review of it with our product managers. What We Offer Remote-first environment Strong product/market fit: marketing data product for US-based enterprises Modern AI tech stack and freedom to experiment High-velocity team where you will constantly learn and scale your skills High autonomy and ownership - we care about outcomes, not hours AI-first, collaborative, no-bureaucracy culture with a technically strong, international team 20 working days of PTO per year US holidays and additional days off Professional development reimbursement

Location: Argentina AI Product Builder Improvado is an AI-powered, unified platform designed for marketing teams in medium to large-scale enterprises and agencies, who are looking to automate complex marketing intelligence and reporting to make decisions with ease. Improvado gathers, organizes, and untangles marketing data to deliver instant insights through BI and AI, helping to eliminate complexity, delivering laser-focused insights to optimize budgets, enhance campaign efficiency and marketing ROI. About the role As an AI Product Builder you own one product area end to end. Which area depends on where we need you most, and the work is the same in all of them. Our products turn marketing data into decisions, and each of them has the same failure mode: it tells the customer something and stops there. Your job is to find where your area stops short of causing a decision, build the part that closes that gap, and show that somebody acted. You will build hands-on with AI, shape the roadmap, work directly with engineering teams and with customers, and decide what a good recommendation looks like for a different persona on the same data - a media buyer, an analyst and a CMO do not want the same thing. Responsibilities Own the product area end to end, from idea to delivery, and define how the roadmap evolves Close the gap between what the product reports and what the customer does about it: decide what gets recommended and to whom, and build the loop that makes those recommendations better over time Work hands-on with AI, from mockups and prototypes through to production code for smaller features, alongside an engineering team of three to ten people Run customer discovery yourself and turn it into roadmap decisions Define and measure the metrics that prove the product caused someone to act Build and maintain automated workflows using AI tools, scripting and the modern data stack Collaborate with Product, BI and CSM teams on architecture decisions and customer data requirements Qualifications Product ownership experience - able to take a problem end to end with minimal hand-holding, and point at things you built that are still in use Demonstrated use of AI tools in daily work: Claude Code, agentic coding, prompt engineering, with a clear view of what you deliberately do not delegate Experience building an AI agent and making it reliable in production Marketing or revenue data domain experience, and you have computed those metrics yourself rather than receiving them from an analyst Comfortable working with engineers as a peer rather than across a handoff Strong SQL ; Python for data processing and automation Fluent English - there are customer calls and escalations in this role Availability to overlap US Pacific business hours (or at least East) Nice to have Hands-on ETL/ELT pipeline experience (BigQuery, Snowflake, Redshift, or ClickHouse) Experience working directly with clients on technical requirements BI tools (e.g. Superset) for operational reporting Process A screening call, a 45-minute call with the VP of Product, a take-home designed for 90 minutes to two hours, and a review of it with our product managers. What We Offer Remote-first environment Optional relocation assistance to Latin America after your trial period Strong product/market fit: marketing data product for US-based enterprises Modern AI tech stack and freedom to experiment High-velocity team where you will constantly learn and scale your skills High autonomy and ownership - we care about outcomes, not hours AI-first, collaborative, no-bureaucracy culture with a technically strong, international team 20 working days of PTO per year US holidays and additional days off Professional development reimbursement

Location: Uruguay AI Product Builder Improvado is an AI-powered, unified platform designed for marketing teams in medium to large-scale enterprises and agencies, who are looking to automate complex marketing intelligence and reporting to make decisions with ease. Improvado gathers, organizes, and untangles marketing data to deliver instant insights through BI and AI, helping to eliminate complexity, delivering laser-focused insights to optimize budgets, enhance campaign efficiency and marketing ROI. About the role As an AI Product Builder you own one product area end to end. Which area depends on where we need you most, and the work is the same in all of them. Our products turn marketing data into decisions, and each of them has the same failure mode: it tells the customer something and stops there. Your job is to find where your area stops short of causing a decision, build the part that closes that gap, and show that somebody acted. You will build hands-on with AI, shape the roadmap, work directly with engineering teams and with customers, and decide what a good recommendation looks like for a different persona on the same data - a media buyer, an analyst and a CMO do not want the same thing. Responsibilities Own the product area end to end, from idea to delivery, and define how the roadmap evolves Close the gap between what the product reports and what the customer does about it: decide what gets recommended and to whom, and build the loop that makes those recommendations better over time Work hands-on with AI, from mockups and prototypes through to production code for smaller features, alongside an engineering team of three to ten people Run customer discovery yourself and turn it into roadmap decisions Define and measure the metrics that prove the product caused someone to act Build and maintain automated workflows using AI tools, scripting and the modern data stack Collaborate with Product, BI and CSM teams on architecture decisions and customer data requirements Qualifications Product ownership experience - able to take a problem end to end with minimal hand-holding, and point at things you built that are still in use Demonstrated use of AI tools in daily work: Claude Code, agentic coding, prompt engineering, with a clear view of what you deliberately do not delegate Experience building an AI agent and making it reliable in production Marketing or revenue data domain experience, and you have computed those metrics yourself rather than receiving them from an analyst Comfortable working with engineers as a peer rather than across a handoff Strong SQL ; Python for data processing and automation Fluent English - there are customer calls and escalations in this role Availability to overlap US Pacific business hours (or at least East) Nice to have Hands-on ETL/ELT pipeline experience (BigQuery, Snowflake, Redshift, or ClickHouse) Experience working directly with clients on technical requirements BI tools (e.g. Superset) for operational reporting Process A screening call, a 45-minute call with the VP of Product, a take-home designed for 90 minutes to two hours, and a review of it with our product managers. What We Offer Remote-first environment Strong product/market fit: marketing data product for US-based enterprises Modern AI tech stack and freedom to experiment High-velocity team where you will constantly learn and scale your skills High autonomy and ownership - we care about outcomes, not hours AI-first, collaborative, no-bureaucracy culture with a technically strong, international team 20 working days of PTO per year US holidays and additional days off Professional development reimbursement

Location: Brazil AI Product Builder Improvado is an AI-powered, unified platform designed for marketing teams in medium to large-scale enterprises and agencies, who are looking to automate complex marketing intelligence and reporting to make decisions with ease. Improvado gathers, organizes, and untangles marketing data to deliver instant insights through BI and AI, helping to eliminate complexity, delivering laser-focused insights to optimize budgets, enhance campaign efficiency and marketing ROI. About the role As an AI Product Builder you own one product area end to end. Which area depends on where we need you most, and the work is the same in all of them. Our products turn marketing data into decisions, and each of them has the same failure mode: it tells the customer something and stops there. Your job is to find where your area stops short of causing a decision, build the part that closes that gap, and show that somebody acted. You will build hands-on with AI, shape the roadmap, work directly with engineering teams and with customers, and decide what a good recommendation looks like for a different persona on the same data - a media buyer, an analyst and a CMO do not want the same thing. Responsibilities Own the product area end to end, from idea to delivery, and define how the roadmap evolves Close the gap between what the product reports and what the customer does about it: decide what gets recommended and to whom, and build the loop that makes those recommendations better over time Work hands-on with AI, from mockups and prototypes through to production code for smaller features, alongside an engineering team of three to ten people Run customer discovery yourself and turn it into roadmap decisions Define and measure the metrics that prove the product caused someone to act Build and maintain automated workflows using AI tools, scripting and the modern data stack Collaborate with Product, BI and CSM teams on architecture decisions and customer data requirements Qualifications Product ownership experience - able to take a problem end to end with minimal hand-holding, and point at things you built that are still in use Demonstrated use of AI tools in daily work: Claude Code, agentic coding, prompt engineering, with a clear view of what you deliberately do not delegate Experience building an AI agent and making it reliable in production Marketing or revenue data domain experience, and you have computed those metrics yourself rather than receiving them from an analyst Comfortable working with engineers as a peer rather than across a handoff Strong SQL ; Python for data processing and automation Fluent English - there are customer calls and escalations in this role Availability to overlap US Pacific business hours (or at least East) Nice to have Hands-on ETL/ELT pipeline experience (BigQuery, Snowflake, Redshift, or ClickHouse) Experience working directly with clients on technical requirements BI tools (e.g. Superset) for operational reporting Process A screening call, a 45-minute call with the VP of Product, a take-home designed for 90 minutes to two hours, and a review of it with our product managers. What We Offer Remote-first environment Optional relocation assistance to Latin America after your trial period Strong product/market fit: marketing data product for US-based enterprises Modern AI tech stack and freedom to experiment High-velocity team where you will constantly learn and scale your skills High autonomy and ownership - we care about outcomes, not hours AI-first, collaborative, no-bureaucracy culture with a technically strong, international team 20 working days of PTO per year US holidays and additional days off Professional development reimbursement

Location: Poland; United Kingdom Workplace: Remote ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual team offsite: Each year, we bring your entire team together in a new location - past offsites have included Croatia, Italy and Cancún - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. About the role We're looking for an experienced Analytics Engineer to join our Data team as one of its first hires. You will own the transformation layer between raw data and business decisions: modelling our data in dbt, defining the certified metrics the company runs on, and setting the standards that every analyst and data scientist at ElevenLabs builds. - Drive the implementation of a world-class metric layer for the company: modelling conventions, project structure, testing, CI, and documentation. - Design and maintain the certified KPI layer for product (activation, adoption, retention, usage), finance (billing, ARR, revenue), and company-wide topics, built to withstand audit scrutiny. - Partner with Data Engineering on evolving the data warehouse architecture, and with stakeholders to turn ambiguous questions into trusted, reusable data products, including data served through AI agents. Requirements Demonstrated experience building and scaling a dbt project and metrics layer, ideally as one of the first analytics engineers on a growing team. - Expert knowledge of dbt and advanced SQL (required); strong grasp of dimensional modelling, grain, and incremental patterns. - Proficiency across the modern data stack (BigQuery or similar warehouse, Python, BI tools such as Looker). - Rigour around data quality: you test, document, and reconcile by default, and you spot a model that runs cleanly but is quietly wrong. - Strong ability to understand varied stakeholder requirements, push back where needed, and translate them into generalised, well-documented models. Bonus: - Experience modelling billing, subscription and ARR data (Stripe, Salesforce) or product event data at scale. - Experience serving data to LLM-based agents or building semantic / metrics layers consumed by AI tools. - Experience with CI for data (Slim CI, data contracts, PII policy tags) and infrastructure-as-code for warehouse access.   LOCATION This role is remote-first, so it can be executed from anywhere in Europe, with the ability to operate in GMT and GMT+1 timezones. If you prefer, you can work from our offices in London and Warsaw.   #LI-Remote We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.