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Location: Worldwide Workplace: hybrid Watch Specialist Reports to: Shop Manager   Job Description: ·       Promotes a variety of watches and timepieces to guests. ·       Provides advice to guests relating to the onboard watch product range. ·       Meets and exceeds sales target objectives consistently through expert and proven consultative selling skills. ·       Ensures that presentation of products is visually appealing and merchandised in a manner that maximizes sales. ·       Informs guests of special offers, new products and promotions. ·       Assist guests to find the goods and products they are looking for.  ·       Handles guests’ complaints and queries. ·       Processes payments. ·       Ensures items are correctly priced and keeps the shop layout attractive and tidy, in line with the direction of the Shop manager and Heinemann guidelines. ·       Conduct cycle counts, SKU checks and inventory preparation. ·       Monitors stock levels and properly replenishes in a timely manner. ·       Be accountable for ensuring that there is an optimal supply of products and recommend additional inventory when necessary; especially of products that have been identified as “best sellers”. ·       Assists with stock control and inventory management,  including receiving and storing the delivery of large amounts of stock, with an emphasis on asset protection. ·       Reports discrepancies and problems to the supervisor.  ·       Keeps the store tidy and clean, this includes hovering and mopping. ·       Keeps up to date with special promotions and putting up displays. ·       Maintains responsibility for the organization of the shop and storage areas, as it relates to shop cleanliness and organization. ·       Prepares to multitask and take on additional duties as needed (including vessel safety duties).    Profile: ·       Fluent in English, oral and written. Ability to speak multiple languages preferred, but not required. ·       High School graduation certificate. ·       At least 2 years’ experience in the Watch Specialist position in a fast pace retail environment. ·       Previous shipboard retail experience highly preferred. ·       Strong customer service, communication and negotiation skills. ·       Knowledge of products and inventory techniques. ·       Ability to stand for extended periods of time and move boxes weighing up to 50lbs.    Length of contract: 6 Months on/ 2 Months off

Location: Toronto, Canada Bradken is a leading global manufacturer of engineered wear products and resource sector solutions. Our products operate in some of the world's most demanding mining environments, helping customers improve reliability, productivity and asset performance. We are seeking a Design Engineer to join our Fixed Plant Engineering team in Toronto, Ontario. This role will support the design, development, customization and continuous improvement of mining equipment and wear products used across North American mining operations. About the Role Reporting to the Engineering Manager, you will contribute to the design and development of Fixed Plant products including wear liner packages, chutes, hoppers, transfer points and related mining equipment. You will work closely with engineering, manufacturing, sales and operations teams to deliver practical engineering solutions from concept through to manufacture and field implementation. Key Responsibilities Create and maintain 3D models, detailed engineering drawings and technical documentation. Design and modify wear products and Fixed Plant equipment for mining applications. Perform reverse engineering activities using field measurements and 3D scan data. Conduct engineering analysis and design validation using appropriate simulation tools. Support product development, product improvement and customer-specific engineering projects. Participate in mine site visits and equipment inspections to gather field information and validate designs. Maintain engineering records, Bills of Materials and design changes within Product Lifecycle Management (PLM) systems. Work collaboratively with Manufacturing, Supply Chain, Sales and Customer Support teams to ensure manufacturability and product performance. Support continuous improvement, quality and safety initiatives across engineering activities. Required Qualifications To be considered for this position, applicants must demonstrate: Bachelor's Degree in Mechanical Engineering or equivalent. Minimum two years of experience in mechanical design, product development, reliability engineering or related engineering disciplines. Experience designing manufactured products within mining, heavy industrial, materials handling, construction equipment or similar industries. Demonstrated proficiency using Siemens NX for 3D modelling and engineering drafting. Experience working with Product Lifecycle Management (PLM) systems , preferably Siemens Teamcenter. Experience performing reverse engineering activities using site measurements and/or 3D scan data. Experience preparing manufacturing drawings, Bills of Materials and engineering change documentation. Strong understanding of engineering drawing standards and manufacturing processes. Valid driver's licence and ability to travel to customer and manufacturing sites within North America. Preferred Qualifications Preference will be given to applicants with experience in one or more of the following: Fixed Plant mining equipment. Chute, hopper, conveyor or wear liner design. 3D scanning technologies and point-cloud processing. FARO laser scanning equipment. Polyworks, Geomagic or similar scan-processing platforms. ANSYS or equivalent engineering analysis software. Surface mining operations and maintenance environments. ISO 9001 quality management systems. Spanish language capability. French language capability. Additional Information This role is primarily office-based at our location in 90 Richmond St E Suite 400, Toronto, Ontario M5C 1P1 Canada, with periodic travel to mine sites and manufacturing facilities. Travel is expected to be approximately 10-20% of working time. Applicants should clearly identify their experience with: Siemens NX Teamcenter PLM 3D scanning technologies Reverse engineering activities Mining or heavy industrial equipment design Applications that do not demonstrate the required qualifications and experience may not be progressed. Applications must be submitted online using the application process provided within the advertisement. Applicants experiencing technical difficulties with the online application process may contact atremblay@bradken.com for assistance. Applications submitted directly by email will not be considered. What We Offer Competitive salary and annual incentive opportunities Salary: CAD $80,000 – $90,000 + Benefits Extended health, dental and vision coverage RRSP program Paid time off Global career development opportunities A collaborative engineering environment supporting products used across major mining operations worldwide Applications will be reviewed as they are received. This role includes a salary range in accordance with Ontario pay transparency legislation. Salary range $80,000 — $90,000 CAD

Location: USA - New York From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About Us Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites. About the Role Fivetran and dbt are building the open data infrastructure that powers AI agents you can trust. Fivetran is looking for a Staff R&D Software Engineer to join our fast-growing Fivetran AI team. Your data stack was built for humans — but agents are the new primary data consumers, and they have fundamentally different requirements. Agents can’t intuit context; it must be explicitly codified, governed, and traceable. We’re building the governed context layer that solves this problem: Agents Schema, an open standard for storing agent-ready context directly in the customer’s own data warehouse, and Context Builder, the managed service that keeps it filled and fresh. This role goes well beyond standard engineering. You’ll research emerging techniques in the fast-moving AI landscape and bring real product and market understanding to decide which ideas are worth pursuing — and then you’ll take what you’ve learned and ship it as production software. We’re looking for a true generalist who is willing and able to wear whatever hat the moment calls for: prototyping a new retrieval technique one week, hardening a backend service the next, then doing SRE or QA work when the team needs it. At this level, you’re expected to be a trusted expert beyond your own team — defining technical direction that other teams build on, taking high-level direction and turning it into concrete plans with a high degree of independence, and using sound judgment to decide what deserves your attention. Fivetran AI operates like a startup within Fivetran, and we need engineers who thrive on that range and ambiguity rather than staying in one lane. Fivetran is the epitome of data-driven development — our engineering team is focused on building a world class product that: Builds Infrastructure Agents Can Trust — join our mission to deliver the governed context layer that AI agents depend on: accurate semantic definitions, traceable lineage, data contracts, and auditable history baked in from the start. Embraces Open Standards — help build portable, interoperable data infrastructure: Agents Schema, open formats (Iceberg, Delta Lake), MCP-native interfaces, and connector skills that work with any model and any compute. Scales Without Breaking — work to make Fivetran AI efficient at agent scale, where unit costs deflate as volume grows and context retrieval is fast, accurate, and cost-controlled. We emphasize using no-nonsense tools and take great pride in the simplicity and effectiveness of the systems we build. Our back-end is built on Java, Python, Postgres, and Kubernetes, and our front-end is built on React and TypeScript. This is a full-time hybrid position based out of our New York, NY office. Our hybrid work model offers a blend of remote flexibility and in-person collaboration, including two days in the office each week to connect and build as a team. Technologies You’ll Use Python, Java, SQL, dbt, LLMs (Claude, ChatGPT, Gemini), vector databases, BigQuery / Snowflake / Databricks, MCP protocol, React, TypeScript, Kubernetes What You’ll Do Research emerging techniques in retrieval, reasoning, and agentic AI, and decide what’s actually worth pursuing for Fivetran AI’s roadmap — then convince others Prototype new ideas quickly, then take the ones that prove out and turn them into shipped, production-grade features Define technical direction that spans multiple teams within Fivetran AI, ensuring architecture decisions made in one area don’t create problems in another Build and maintain both back-end and front-end systems for the Fivetran AI product — from Agents Schema pipelines to the Context Catalog UI Drive the AISQL capability forward: natural language to SQL grounded in dbt metric definitions, executed natively against the warehouse Take ownership of production reliability across the platform: on-call rotation, incident response, and SRE work to keep the system trustworthy at scale Set the bar for testing and QA practices, and do hands-on QA work yourself when it matters most Use coding agents to automate the repetitive parts of the job, freeing up time for the research and design work that needs a human Take high-level direction from product and leadership and independently define and execute the concrete plan to get there Mentor other engineers and raise the technical bar across the Fivetran AI team Contribute to hiring by participating in and helping shape the interview process Skills We’re Looking For 8+ years of programming experience across Python and/or Java, with the ability to move fluidly between back-end and front-end work Considered a trusted expert beyond your own team, able to exert influence and define technical direction across multiple teams Comfortable reading AI/ML research and turning promising findings into working prototypes, then production systems Strong product and market awareness — able to judge which emerging techniques are worth building versus which are hype Track record of taking ambiguous, high-level direction and independently defining and executing the concrete work to deliver it Experience with SQL and data warehouses (BigQuery, Snowflake, Databricks, or similar) Genuine willingness to work across the full stack: research, backend, frontend, SRE, and QA, as the team’s needs demand Writes well-structured, performant code and can dive into unfamiliar codebases to suggest improvements Experience using coding agents or similar AI tooling to speed up day-to-day engineering work Demonstrated ability to mentor other engineers and influence technical decisions beyond your immediate team Thrives in a startup-like environment with shifting priorities and a high degree of ownership Bonus Skills Experience with LLM-powered applications — RAG pipelines, embeddings, evaluation frameworks, or agent frameworks Familiarity with semantic layers — dbt, LookML, Sigma, or similar Experience with the MCP (Model Context Protocol) ecosystem or building AI agent integrations Background in site reliability engineering — monitoring, alerting, incident response Experience in data processing (ETL, ELT) and/or building data connectors Experienced working in a cloud environment utilizing AWS, GCP, Kubernetes, or Docker Contributions to open source AI or data projects #LI-HYBRID #LI-AM1 The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role.  Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process. New York Pay Range $196,033 — $245,041.50 USD Perks and Benefits 100% employer-paid medical insurance * Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. * May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes . Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here . We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.

Location: Denver, Colorado, United States, AMER From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About Us Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites. About the Role Fivetran and dbt are building the open data infrastructure that powers AI agents you can trust. Fivetran is looking for a Staff R&D Software Engineer to join our fast-growing Fivetran AI team. Your data stack was built for humans — but agents are the new primary data consumers, and they have fundamentally different requirements. Agents can’t intuit context; it must be explicitly codified, governed, and traceable. We’re building the governed context layer that solves this problem: Agents Schema, an open standard for storing agent-ready context directly in the customer’s own data warehouse, and Context Builder, the managed service that keeps it filled and fresh. This role goes well beyond standard engineering. You’ll research emerging techniques in the fast-moving AI landscape and bring real product and market understanding to decide which ideas are worth pursuing — and then you’ll take what you’ve learned and ship it as production software. We’re looking for a true generalist who is willing and able to wear whatever hat the moment calls for: prototyping a new retrieval technique one week, hardening a backend service the next, then doing SRE or QA work when the team needs it. At this level, you’re expected to be a trusted expert beyond your own team — defining technical direction that other teams build on, taking high-level direction and turning it into concrete plans with a high degree of independence, and using sound judgment to decide what deserves your attention. Fivetran AI operates like a startup within Fivetran, and we need engineers who thrive on that range and ambiguity rather than staying in one lane. Fivetran is the epitome of data-driven development — our engineering team is focused on building a world class product that: Builds Infrastructure Agents Can Trust — join our mission to deliver the governed context layer that AI agents depend on: accurate semantic definitions, traceable lineage, data contracts, and auditable history baked in from the start. Embraces Open Standards — help build portable, interoperable data infrastructure: Agents Schema, open formats (Iceberg, Delta Lake), MCP-native interfaces, and connector skills that work with any model and any compute. Scales Without Breaking — work to make Fivetran AI efficient at agent scale, where unit costs deflate as volume grows and context retrieval is fast, accurate, and cost-controlled. We emphasize using no-nonsense tools and take great pride in the simplicity and effectiveness of the systems we build. Our back-end is built on Java, Python, Postgres, and Kubernetes, and our front-end is built on React and TypeScript. This is a full-time hybrid position based out of our Denver, CO office. Our hybrid work model offers a blend of remote flexibility and in-person collaboration, including two days in the office each week to connect and build as a team. Technologies You’ll Use Python, Java, SQL, dbt, LLMs (Claude, ChatGPT, Gemini), vector databases, BigQuery / Snowflake / Databricks, MCP protocol, React, TypeScript, Kubernetes What You’ll Do Research emerging techniques in retrieval, reasoning, and agentic AI, and decide what’s actually worth pursuing for Fivetran AI’s roadmap — then convince others Prototype new ideas quickly, then take the ones that prove out and turn them into shipped, production-grade features Define technical direction that spans multiple teams within Fivetran AI, ensuring architecture decisions made in one area don’t create problems in another Build and maintain both back-end and front-end systems for the Fivetran AI product — from Agents Schema pipelines to the Context Catalog UI Drive the AISQL capability forward: natural language to SQL grounded in dbt metric definitions, executed natively against the warehouse Take ownership of production reliability across the platform: on-call rotation, incident response, and SRE work to keep the system trustworthy at scale Set the bar for testing and QA practices, and do hands-on QA work yourself when it matters most Use coding agents to automate the repetitive parts of the job, freeing up time for the research and design work that needs a human Take high-level direction from product and leadership and independently define and execute the concrete plan to get there Mentor other engineers and raise the technical bar across the Fivetran AI team Contribute to hiring by participating in and helping shape the interview process Skills We’re Looking For 8+ years of programming experience across Python and/or Java, with the ability to move fluidly between back-end and front-end work Considered a trusted expert beyond your own team, able to exert influence and define technical direction across multiple teams Comfortable reading AI/ML research and turning promising findings into working prototypes, then production systems Strong product and market awareness — able to judge which emerging techniques are worth building versus which are hype Track record of taking ambiguous, high-level direction and independently defining and executing the concrete work to deliver it Experience with SQL and data warehouses (BigQuery, Snowflake, Databricks, or similar) Genuine willingness to work across the full stack: research, backend, frontend, SRE, and QA, as the team’s needs demand Writes well-structured, performant code and can dive into unfamiliar codebases to suggest improvements Experience using coding agents or similar AI tooling to speed up day-to-day engineering work Demonstrated ability to mentor other engineers and influence technical decisions beyond your immediate team Thrives in a startup-like environment with shifting priorities and a high degree of ownership Bonus Skills Experience with LLM-powered applications — RAG pipelines, embeddings, evaluation frameworks, or agent frameworks Familiarity with semantic layers — dbt, LookML, Sigma, or similar Experience with the MCP (Model Context Protocol) ecosystem or building AI agent integrations Background in site reliability engineering — monitoring, alerting, incident response Experience in data processing (ETL, ELT) and/or building data connectors Experienced working in a cloud environment utilizing AWS, GCP, Kubernetes, or Docker Contributions to open source AI or data projects #LI-HYBRID #LI-AM1 The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role.  Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process. Denver Pay Range $183,711 — $229,638.75 USD Perks and Benefits 100% employer-paid medical insurance * Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. * May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes . Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here . We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.

Location: USA - Austin (dbt) From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About Us Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites. About the Role Fivetran and dbt are building the open data infrastructure that powers AI agents you can trust. Fivetran is looking for a Staff R&D Software Engineer to join our fast-growing Fivetran AI team. Your data stack was built for humans — but agents are the new primary data consumers, and they have fundamentally different requirements. Agents can’t intuit context; it must be explicitly codified, governed, and traceable. We’re building the governed context layer that solves this problem: Agents Schema, an open standard for storing agent-ready context directly in the customer’s own data warehouse, and Context Builder, the managed service that keeps it filled and fresh. This role goes well beyond standard engineering. You’ll research emerging techniques in the fast-moving AI landscape and bring real product and market understanding to decide which ideas are worth pursuing — and then you’ll take what you’ve learned and ship it as production software. We’re looking for a true generalist who is willing and able to wear whatever hat the moment calls for: prototyping a new retrieval technique one week, hardening a backend service the next, then doing SRE or QA work when the team needs it. At this level, you’re expected to be a trusted expert beyond your own team — defining technical direction that other teams build on, taking high-level direction and turning it into concrete plans with a high degree of independence, and using sound judgment to decide what deserves your attention. Fivetran AI operates like a startup within Fivetran, and we need engineers who thrive on that range and ambiguity rather than staying in one lane. Fivetran is the epitome of data-driven development — our engineering team is focused on building a world class product that: Builds Infrastructure Agents Can Trust — join our mission to deliver the governed context layer that AI agents depend on: accurate semantic definitions, traceable lineage, data contracts, and auditable history baked in from the start. Embraces Open Standards — help build portable, interoperable data infrastructure: Agents Schema, open formats (Iceberg, Delta Lake), MCP-native interfaces, and connector skills that work with any model and any compute. Scales Without Breaking — work to make Fivetran AI efficient at agent scale, where unit costs deflate as volume grows and context retrieval is fast, accurate, and cost-controlled. We emphasize using no-nonsense tools and take great pride in the simplicity and effectiveness of the systems we build. Our back-end is built on Java, Python, Postgres, and Kubernetes, and our front-end is built on React and TypeScript. This is a full-time hybrid position based out of our Austin, TX office. Our hybrid work model offers a blend of remote flexibility and in-person collaboration, including two days in the office each week to connect and build as a team. Technologies You’ll Use Python, Java, SQL, dbt, LLMs (Claude, ChatGPT, Gemini), vector databases, BigQuery / Snowflake / Databricks, MCP protocol, React, TypeScript, Kubernetes What You’ll Do Research emerging techniques in retrieval, reasoning, and agentic AI, and decide what’s actually worth pursuing for Fivetran AI’s roadmap — then convince others Prototype new ideas quickly, then take the ones that prove out and turn them into shipped, production-grade features Define technical direction that spans multiple teams within Fivetran AI, ensuring architecture decisions made in one area don’t create problems in another Build and maintain both back-end and front-end systems for the Fivetran AI product — from Agents Schema pipelines to the Context Catalog UI Drive the AISQL capability forward: natural language to SQL grounded in dbt metric definitions, executed natively against the warehouse Take ownership of production reliability across the platform: on-call rotation, incident response, and SRE work to keep the system trustworthy at scale Set the bar for testing and QA practices, and do hands-on QA work yourself when it matters most Use coding agents to automate the repetitive parts of the job, freeing up time for the research and design work that needs a human Take high-level direction from product and leadership and independently define and execute the concrete plan to get there Mentor other engineers and raise the technical bar across the Fivetran AI team Contribute to hiring by participating in and helping shape the interview process Skills We’re Looking For 8+ years of programming experience across Python and/or Java, with the ability to move fluidly between back-end and front-end work Considered a trusted expert beyond your own team, able to exert influence and define technical direction across multiple teams Comfortable reading AI/ML research and turning promising findings into working prototypes, then production systems Strong product and market awareness — able to judge which emerging techniques are worth building versus which are hype Track record of taking ambiguous, high-level direction and independently defining and executing the concrete work to deliver it Experience with SQL and data warehouses (BigQuery, Snowflake, Databricks, or similar) Genuine willingness to work across the full stack: research, backend, frontend, SRE, and QA, as the team’s needs demand Writes well-structured, performant code and can dive into unfamiliar codebases to suggest improvements Experience using coding agents or similar AI tooling to speed up day-to-day engineering work Demonstrated ability to mentor other engineers and influence technical decisions beyond your immediate team Thrives in a startup-like environment with shifting priorities and a high degree of ownership Bonus Skills Experience with LLM-powered applications — RAG pipelines, embeddings, evaluation frameworks, or agent frameworks Familiarity with semantic layers — dbt, LookML, Sigma, or similar Experience with the MCP (Model Context Protocol) ecosystem or building AI agent integrations Background in site reliability engineering — monitoring, alerting, incident response Experience in data processing (ETL, ELT) and/or building data connectors Experienced working in a cloud environment utilizing AWS, GCP, Kubernetes, or Docker Contributions to open source AI or data projects #LI-HYBRID #LI-AM1 The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role.  Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process. Pay Range $183,711 — $229,638.75 USD Perks and Benefits 100% employer-paid medical insurance * Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. * May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes . Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here . We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.

Location: Oakland, California, United States, AMER From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About Us Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites. About the Role Fivetran and dbt are building the open data infrastructure that powers AI agents you can trust. Fivetran is looking for a Staff R&D Software Engineer to join our fast-growing Fivetran AI team. Your data stack was built for humans — but agents are the new primary data consumers, and they have fundamentally different requirements. Agents can’t intuit context; it must be explicitly codified, governed, and traceable. We’re building the governed context layer that solves this problem: Agents Schema, an open standard for storing agent-ready context directly in the customer’s own data warehouse, and Context Builder, the managed service that keeps it filled and fresh. This role goes well beyond standard engineering. You’ll research emerging techniques in the fast-moving AI landscape and bring real product and market understanding to decide which ideas are worth pursuing — and then you’ll take what you’ve learned and ship it as production software. We’re looking for a true generalist who is willing and able to wear whatever hat the moment calls for: prototyping a new retrieval technique one week, hardening a backend service the next, then doing SRE or QA work when the team needs it. At this level, you’re expected to be a trusted expert beyond your own team — defining technical direction that other teams build on, taking high-level direction and turning it into concrete plans with a high degree of independence, and using sound judgment to decide what deserves your attention. Fivetran AI operates like a startup within Fivetran, and we need engineers who thrive on that range and ambiguity rather than staying in one lane. Fivetran is the epitome of data-driven development — our engineering team is focused on building a world class product that: Builds Infrastructure Agents Can Trust — join our mission to deliver the governed context layer that AI agents depend on: accurate semantic definitions, traceable lineage, data contracts, and auditable history baked in from the start. Embraces Open Standards — help build portable, interoperable data infrastructure: Agents Schema, open formats (Iceberg, Delta Lake), MCP-native interfaces, and connector skills that work with any model and any compute. Scales Without Breaking — work to make Fivetran AI efficient at agent scale, where unit costs deflate as volume grows and context retrieval is fast, accurate, and cost-controlled. We emphasize using no-nonsense tools and take great pride in the simplicity and effectiveness of the systems we build. Our back-end is built on Java, Python, Postgres, and Kubernetes, and our front-end is built on React and TypeScript. This is a full-time hybrid position based out of our Oakland, CA office. Our hybrid work model offers a blend of remote flexibility and in-person collaboration, including two days in the office each week to connect and build as a team. Technologies You’ll Use Python, Java, SQL, dbt, LLMs (Claude, ChatGPT, Gemini), vector databases, BigQuery / Snowflake / Databricks, MCP protocol, React, TypeScript, Kubernetes What You’ll Do Research emerging techniques in retrieval, reasoning, and agentic AI, and decide what’s actually worth pursuing for Fivetran AI’s roadmap — then convince others Prototype new ideas quickly, then take the ones that prove out and turn them into shipped, production-grade features Define technical direction that spans multiple teams within Fivetran AI, ensuring architecture decisions made in one area don’t create problems in another Build and maintain both back-end and front-end systems for the Fivetran AI product — from Agents Schema pipelines to the Context Catalog UI Drive the AISQL capability forward: natural language to SQL grounded in dbt metric definitions, executed natively against the warehouse Take ownership of production reliability across the platform: on-call rotation, incident response, and SRE work to keep the system trustworthy at scale Set the bar for testing and QA practices, and do hands-on QA work yourself when it matters most Use coding agents to automate the repetitive parts of the job, freeing up time for the research and design work that needs a human Take high-level direction from product and leadership and independently define and execute the concrete plan to get there Mentor other engineers and raise the technical bar across the Fivetran AI team Contribute to hiring by participating in and helping shape the interview process Skills We’re Looking For 8+ years of programming experience across Python and/or Java, with the ability to move fluidly between back-end and front-end work Considered a trusted expert beyond your own team, able to exert influence and define technical direction across multiple teams Comfortable reading AI/ML research and turning promising findings into working prototypes, then production systems Strong product and market awareness — able to judge which emerging techniques are worth building versus which are hype Track record of taking ambiguous, high-level direction and independently defining and executing the concrete work to deliver it Experience with SQL and data warehouses (BigQuery, Snowflake, Databricks, or similar) Genuine willingness to work across the full stack: research, backend, frontend, SRE, and QA, as the team’s needs demand Writes well-structured, performant code and can dive into unfamiliar codebases to suggest improvements Experience using coding agents or similar AI tooling to speed up day-to-day engineering work Demonstrated ability to mentor other engineers and influence technical decisions beyond your immediate team Thrives in a startup-like environment with shifting priorities and a high degree of ownership Bonus Skills Experience with LLM-powered applications — RAG pipelines, embeddings, evaluation frameworks, or agent frameworks Familiarity with semantic layers — dbt, LookML, Sigma, or similar Experience with the MCP (Model Context Protocol) ecosystem or building AI agent integrations Background in site reliability engineering — monitoring, alerting, incident response Experience in data processing (ETL, ELT) and/or building data connectors Experienced working in a cloud environment utilizing AWS, GCP, Kubernetes, or Docker Contributions to open source AI or data projects #LI-HYBRID #LI-AM1 The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role.  Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process. Oakland Pay Range $196,033 — $245,041.50 USD Perks and Benefits 100% employer-paid medical insurance * Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. * May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes . Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here . We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.

Location: Montevideo WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies – the foundation of a balanced, global investment platform. WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement. Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it. The role: The Security Master supports research and collaborates with select front-office and execution teams across WorldQuant. The Security Master Specialist will provide the following services to these groups: Maintain an accurate and up to date Security Master for global equity, futures, options and other asset classes. Liaise with our Treasury Services team to track and understand issues that may be caused by those exceptions and provide resolutions. Work with our partner to manage day to day exceptions, overseeing and organizing a team of consultants in their tasks to this end. The Security Master specialist will also oversee the team of consultants for the following: Research and track upcoming exchange notices and corporate actions that impact the researchers. Provide commentary to multiple teams on the same. Seek accurate information from brokers, data vendors, issuers, exchanges and other sources to ensure corporate actions are accurately represented.  Liaise with brokers on these topics where necessary. Ensure corporate actions are applied consistently across all asset classes – providing information to any team that may require further information, and alerting teams where information is delayed, inaccurate, inconsistent or may in any way affect some of the front office and execution teams. Verify accurate valuation data is available for all asset classes, finding and resolving breaks with relevant parties. To support the service, they will also assist in on boarding and testing any new features of the security master; build, maintain and oversee new operations procedures that arise from any new features.  Liaise with our partner on the same. Mandatory Skills: Experience managing data within a firm wide Security Master Experience in Corporate Actions Well-versed with data-validation, exceptions and anomalies/pricing differences driven by collaborating with some of the front office and execution teams Understanding of financial instruments Managing operational processes and deadlines Desirable Skills: Experience with SQL (Joins across multiple tables, common table expressions, temporary tables, aggregate functions, case statements, ad-hoc loading of files into the database). Unix shell commands and scripting Roles and Responsibilities: Daily analysis and filtration of reports Daily running of tests and reporting bugs in select cases, e.g., comparing Security Master's data with vendor data Responding to and following up on raised tickets, as well as researching internal tickets for data issues – managing life cycle to resolution Constant analysis of regular tickets related to corporate actions Driving continuous process improvement Ad Hoc tasks – researching and testing for new features of security master applications, as well as onboarding and testing corporate actions for new share classes What We Offer: Competitive compensation package. Core benefits include: premium private health insurance. Strong culture of learning and development: training courses, guest speakers, share and learn events, etc. Regular team buildings, annual conferences and occasional global summits – opportunity to travel and connect with our local and global teams. Dynamic work without routine in a leading international company. #LIRS-1 By submitting this application, you acknowledge and consent to terms of the WorldQuant Privacy Policy. The privacy policy offers an explanation of how and why your data will be collected, how it will be used and disclosed, how it will be retained and secured, and what legal rights are associated with that data (including the rights of access, correction, and deletion). The policy also describes legal and contractual limitations on these rights. The specific rights and obligations of individuals living and working in different areas may vary by jurisdiction. Copyright © 2025 WorldQuant, LLC. All Rights Reserved. WorldQuant is an equal opportunity employer and does not discriminate in hiring on the basis of race, color, creed, religion, sex, sexual orientation or preference, age, marital status, citizenship, national origin, disability, military status, genetic predisposition or carrier status, or any other protected characteristic as established by applicable law.

Location: London WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies – the foundation of a balanced, global investment platform. WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement. Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it. Technologists at WorldQuant research, design, code, test and deploy firmwide platforms and tooling while working collaboratively with researchers and portfolio managers. Our environment is relaxed yet intellectually driven. We seek people who think in code and are motivated by being around like-minded people. The Role: Our group is responsible for building software enabling both the large-scale quantitative research operations that drive WorldQuant’s platform and the production of our portfolio. The team is currently embarking on a multi-year journey to provide a powerful, scalable, and efficient platform to drive the firm’s next decade of growth. We are looking for someone who can own some of the unique technical challenges inherent in the problem and who can bring solid experience and perspective to the team. What You’ll Bring: A successful candidate will possess: A minimum of 7 years of writing production-quality code in Python on Linux platform Candidate must be willing to learn C++. Experience in C++ is a strong plus Candidate must have strong interest and motivation to work with machine learning, deep learning, backtesting platform design and development technologies. Prior experience is not required but will be considered as a strong plus. Strong understanding and experience with Linux system programming fundamentals Ability to develop large-scale, distributed systems Strong understanding of data structures, algorithms, high-performance application design, and concurrency patterns. Self-motivated and able to work independently with minimal direction Proficiency in English An outstanding candidate will also have experience with one or more of: Developing systems for managing and performing computation on large-scale graph data Streaming / dataflow systems Candidates need not have prior experience in financial services. #LI-MH1 By submitting this application, you acknowledge and consent to terms of the WorldQuant Privacy Policy. The privacy policy offers an explanation of how and why your data will be collected, how it will be used and disclosed, how it will be retained and secured, and what legal rights are associated with that data (including the rights of access, correction, and deletion). The policy also describes legal and contractual limitations on these rights. The specific rights and obligations of individuals living and working in different areas may vary by jurisdiction. Copyright © 2025 WorldQuant, LLC. All Rights Reserved. WorldQuant is an equal opportunity employer and does not discriminate in hiring on the basis of race, color, creed, religion, sex, sexual orientation or preference, age, marital status, citizenship, national origin, disability, military status, genetic predisposition or carrier status, or any other protected characteristic as established by applicable law.

Location: US Coherent Solutions builds custom software for enterprises and high-growth companies. Founded in 1995, we have 1,700+ people across 10 countries, serving clients in fitness & wellness, healthcare, fintech, manufacturing, and technology. Our model combines local client leadership with global engineering teams across Europe and Latin America. We are investing heavily in AI and modern software delivery via initiatives like Coherent Catalyst , and we expect our client-facing teams to lead those conversations with customers. About the Role This is a pure hunter role. You carry a quota, and your primary responsibility is winning new enterprise clients through your own prospecting, BDR introductions, inbound leads, partner referrals, and your professional network. Once a new account is closed, you will work closely with our delivery management teams to grow it into a long-term, strategic relationship. You will engage with buyers ranging from directors to C-suite executives and navigating complex, multi-disciplinary decision processes. The services market is changing rapidly; AI is reshaping how software gets built, delivered, and priced. The expectation for this role is to understand these shifts and discuss them confidently with executive buyers. You don’t need to be an AI engineer, but you must understand where the market is heading and connect those changes to how it impacts a client’s growth, efficiency, risk, and bottom line. What You'll Do Own the full sales cycle: Prospect, qualify, shape the solution with delivery, negotiate, and close net-new business; Win new logos and establish the foundation to expand the strategic accounts you win; Lead commercial strategy for SOWs, master services agreements (MSAs), pricing, and contracts; Run RFI/RFP responses and tailored proposals in tight collaboration with engineering and delivery teams; Build and manage a healthy pipeline with highly accurate forecasting in Salesforce; Partner with marketing on targeted Account-Based Marketing (ABM) campaigns and regional events; Represent Coherent at major industry events and face-to-face client meetings; What We’re Looking For 6+ years of selling custom software engineering, digital product services, or IT consulting; A proven track record of hunting and winning new enterprise clients with multi-year, multi-discipline services engagements; Comfort selling to C-suite and VP buyers, with the ability to confidently articulate how modern AI-driven development models accelerate time-to-market; Deep working knowledge of the SDLC, global distributed delivery models, and agile consulting; Experience working with distributed global delivery teams (specifically leveraging talent pools in Europe and Latin America); Stability matters to us. Enterprise services relationships take years to build, and we want the same commitment from our people. A history of multi-year tenures will carry significantly more weight than a long list of short-term logos; Minnesota preferred; WI, IL, or East Coast considered; What Do We Offer Base salary from $130K to $165K plus uncapped commission and performance bonuses ; Performance-based equity awards; Comprehensive health, dental, and vision insurance; 401(k) matching and generous PTO policy; Travel: Approximately 20-30% for strategic client meetings, industry conferences, and internal executive planning.

Location: Anywhere in France Workplace: Hybrid HEALTH CAN’T WAIT. Not for symptoms to get worse. Not for a six‑month appointment. Not for a system to catch up. But that’s exactly how healthcare works today. You wait, until you can’t. Alan exists to end the wait. Health is a universal right, and we believe this right can only become real when it’s coupled with prevention. We need to stop treating health as something we repair and start treating it as something we build, every day. It’s not solely a question of willpower. It’s the healthcare system itself that needs to work for everyone, in a sustainable way. So we are building the new standard in prevention insurance. Alan is the first company that integrates insurance, prevention, and care into a single, acclaimed user experience. We are on an incredible journey to build a global leading company, with a unique culture https://alan.com/en/careers. We already partner with 40K+ companies of all sizes, serving more than 1M+ members, and have reached €800M+ in ARR. Prevention as the new norm. That's what we're building with our team of 1000+ people. If it speaks to you: we're hiring across France, Spain, Belgium, and Canada. And beyond. 🚀 WHY JOIN CARE OPS IN 2026? 🚀 You might look at Alan’s Care team today—managing high volumes seamlessly, supported by strong partners, and automating 50 of conversations—and ask: "It works, so why join now?" Yet, the most exciting part is still ahead. We are at a turning point as we prepare to support millions of members and push to set the standards in the industry. Here is why this is the moment to join. - People: This is the opportunity to join a team with incredibly high talent density, operating with distributed ownership—empowered Crew Leads, strong deputies, and Guillaume Poirier https://www.linkedin.com/in/guillaume-p-34602923/ as Care Ops Lead. It is a proven engine for creating talent and fueling internal mobility. - Processes: We absorb high volumes without glitches (including Ministry of Finance in France) and collaborate smoothly with Product and Sales. We trust and work hand-in-hand with solid external partners in France and Spain. - Innovation: We are one of the few companies in the world claiming to automate 40% of member conversations as of the end of 2025 (a true market benchmark). We're building an organization capable of serving 3 million members with a lean team. To get there, we need people who can build scalable systems (analytical and operational) that make this possible. What this means for the role you're joining: - Our operations are getting smarter, and our analytics need to keep up: We don't just need dashboards. We need to understand what drives performance, spot problems early, and help teams decide faster. You'll build this. - Our planning is getting more complex: More countries, more automation, more partner teams. We need better models to know how many people we need, where, and when. - Our tools need to scale: What works with manual effort today won't work at 3x the volume. You'll build AI-powered tools and workflows that make operations smoother across the board. Recognition: We are building something unique, yet we are not yet known externally as the reference for Care operations. ⭐ THE CARE OPS ROLE ⭐ The Care Ops team supports the Care Community globally (France, Belgium, Spain, Canada) by providing tools, processes, and data to deliver on our Roadmap and Strategic Plan. Care Ops is accountable for operational excellence and efficiency in Care, enabling the Community to scale without any compromise on user experience. We are looking for a Care Ops who loves numbers, builds tools, and wants to have a real impact on how we run operations at scale. You'll join a team of 10 and work across the full spectrum of our operations: understanding what drives our performance, building the tools and models that help us make better decisions, and collaborating daily with Data, Engineering, Product, and Care teams. One week you'll be deep in a staffing model, the next you'll be building an AI-powered reporting tool, the next you'll be presenting a performance deep dive to Crew Leads. Some of our missions include: 1/ Performance analytics and operational insights - Build and improve dashboards and reports that help teams understand what's happening and why. Not just track numbers — explain them. - Conduct deep dives into operational performance (response times, resolution quality, contact drivers) and deliver concrete recommendations. - Help define and maintain our key metrics across countries: what do we measure, where does the data live, how do we make it reliable. - Work closely with our Data team and Care Crew Leads to turn data into decisions. 2/ Planning, forecasting, and resource optimization - Help build and improve our staffing models: how many people do we need, when, and where? How does automation change the equation? - Contribute to simplifying our planning tools and processes - Work with our external partners on capacity planning and delivery tracking. - Challenge how we do things today. 3/ Tooling and AI - Build and improve operational tools using AI and no-code solutions (Dust, Claude, automation platforms). You'll probably build half your tools with AI. - Identify where current processes don't scale and propose solutions — sometimes a simple script, sometimes a product need. - Collaborate with Product and Engineering crews to push efficiency needs into the roadmap. ⭐ JOIN THE CARE TEAM! ⭐️ You will excel as a Care Ops if you: - Communicate clearly in English and French, written and verbal. You'll work with many teams and clarity matters. - Think in numbers. You're comfortable with data, spreadsheets, and ideally SQL. You build models, not just read dashboards. - Have a performance mindset. You want to understand why a metric moves. You look for root causes and push for action. - Are curious about AI and tooling. You use AI tools in your daily work and see them as building blocks. You're excited to learn and experiment. - Get your hands dirty. You dig into the details, fix what's broken, and don't wait for someone else to do it. - Have 2-5 years of experience in operations, analytics, consulting, or a similar role — ideally in a tech or startup environment. - Have an organized and structured mindset. - Can work independently in a fast-paced environment. Our ideal candidate thrives in a startup or tech company environment and is excited about the opportunity to make a significant impact in a growing company. If this sounds like you, then you might just be the Care Ops we're looking for. We value diversity and encourage individuals from varied experiences and backgrounds to apply. Join our Care team and contribute to our mission of delivering an exceptional user experience. For this opportunity, we are aiming to hire within the B1-C1 level range https://alan.com/en/careers/a/salary-equity. 🙌 PERKS & BENEFITS https://alan.com/about/life-at-alan/a/perks At Alan, we believe that being in good health is a basic need, and it starts with our employees. This is why Alaners are provided with a stimulating environment and perks ensuring they are happy, efficient and spend only high-quality time with co-workers. Therefore, we offer: - Fair rewards. Generous equity packages complement your base salary, for permanent contracts only. - Flexible Office. Amazing office space at our HQ, sponsored co-working hubs or a full-remote experience with home office equipment sponsorship, we want you to live where you’re the happiest. - All the tools you need. Top of the range equipment: Macbook Pro, keyboard, laptop stand, monitor, and Bose noise-canceling headphones. - Flexible vacation policy and flexible working hours. Organize your time as you wish. - Delightful healthcare insurance. Extremely comprehensive health insurance - 100% of the contribution covered by Alan for you and your family, for permanent contracts only. - Transport. Country-specific commuter benefits. - Learning & Training opportunities. A highly flexible Training policy free books and budget to attend and speak at conferences if the opportunity arises. - Parental leave. Extended parental leave for all new parents, for permanent contracts only. IMPORTANT NOTE: WE HIRE PEOPLE, NOT ROLES. After reading this job description, if you feel like you don’t have all the necessary prerequisites but that it matches where you are now or what you'd like to grow into in your next position, we encourage you to apply! Not everybody will enter our recruitment process, but all, no matter how underrepresented, should feel free to apply as it can only bring learnings or success. 🔖 Check out our About Alan https://alan.com/about and Career https://alan.com/careers pages, as well as our Medium https://medium.com/alan, blog https://blog.alan.com/ and Glassdoor page https://www.glassdoor.com/Overview/Working-at-Alan-EI_IE1696043.11,15.htm for more info.

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 This is a unique role that sits at the intersection of economics, analytics, product, and strategy. You’ll combine rigorous quantitative analysis with customer research and commercial thinking to shape how Fivetran prices, packages, and monetizes its products. What You’ll Do Analyze product usage, deal, financial, and billing data to model pricing, packaging, and monetization scenarios. Design frameworks to assess willingness to pay, customer value, and price realization across customer segments and product lines. Conduct research on pricing strategies, packaging models, and monetization approaches across comparable and adjacent markets. Lead pricing and packaging strategy for new product launches, partnering with Product, GTM, and Finance to define commercial models Build value-based pricing and econometric models to quantify elasticity, customer ROI, and lifetime value. Design and execute pricing experiments Synthesize quantitative analysis, customer research, and competitive intelligence into executive recommendations that influence pricing strategy. Drive customer and prospect research to understand purchasing behavior, value perception, and pricing friction. Partner closely with Product, Analytics, Finance, Sales, Marketing, and Legal to deliver end-to-end pricing initiatives. Define KPIs and dashboards that measure pricing performance and identify optimization opportunities. Continuously evolve our pricing and packaging strategy to improve ARR growth, customer adoption, and value realization. Skills We’re Looking For 5–8 years designing or operating SaaS or sophisticated B2C pricing models, preferably with usage‑based or behavioral pricing experience Deep quantitative chops—an advanced degree (PhD/MSc) in Economics, Statistics, Operations Research, Applied Math, or similar Fluency in SQL and Python for large‑scale data analysis; proficiency with BI tools such as Looker or Tableau; bonus for dbt Hands‑on experience with conjoint, MaxDiff, Gabor-Granger, or Van Westendorp surveys and causal experiment design Strong attention to detail and data analysis skills – including interpreting results and recommending actions Proven record of turning complex models and analyses into recommendations and shipping changes that moved ARR, gross margin, or NRR Collaborative mindset with Product, Analytics, Finance, Sales, and Legal; you can navigate from whiteboard to contract terms with ease Strong communication and presentation skills with ability to influence at the executive level #LI-DJ1 #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 $209,378 — $261,723 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 From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About Us Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites. About the Role Fivetran and dbt are building the open data infrastructure that powers AI agents you can trust. Fivetran is looking for a Senior R&D Software Engineer to join our fast-growing Fivetran AI team. Your data stack was built for humans — but agents are the new primary data consumers, and they have fundamentally different requirements. Agents can’t intuit context; it must be explicitly codified, governed, and traceable. We’re building the governed context layer that solves this problem: Agents Schema, an open standard for storing agent-ready context directly in the customer’s own data warehouse, and Context Builder, the managed service that keeps it filled and fresh. This role goes well beyond standard engineering. You’ll research emerging techniques in the fast-moving AI landscape and bring real product and market understanding to decide which ideas are worth pursuing — and then you’ll take what you’ve learned and ship it as production software. We’re looking for a true generalist who is willing and able to wear whatever hat the moment calls for: prototyping a new retrieval technique one week, hardening a backend service the next, then doing SRE or QA work when the team needs it. Fivetran AI operates like a startup within Fivetran, and we need engineers who thrive on that range rather than staying in one lane. Fivetran is the epitome of data-driven development — our engineering team is focused on building a world class product that: Builds Infrastructure Agents Can Trust — join our mission to deliver the governed context layer that AI agents depend on: accurate semantic definitions, traceable lineage, data contracts, and auditable history baked in from the start. Embraces Open Standards — help build portable, interoperable data infrastructure: Agents Schema, open formats (Iceberg, Delta Lake), MCP-native interfaces, and connector skills that work with any model and any compute. Scales Without Breaking — work to make Fivetran AI efficient at agent scale, where unit costs deflate as volume grows and context retrieval is fast, accurate, and cost-controlled. We emphasize using no-nonsense tools and take great pride in the simplicity and effectiveness of the systems we build. Our back-end is built on Java, Python, Postgres, and Kubernetes, and our front-end is built on React and TypeScript. This is a full-time hybrid position based out of our New York, NY office. Our hybrid work model offers a blend of remote flexibility and in-person collaboration, including two days in the office each week to connect and build as a team. Technologies You’ll Use Python, Java, SQL, dbt, LLMs (Claude, ChatGPT, Gemini), vector databases, BigQuery / Snowflake / Databricks, MCP protocol, React, TypeScript, Kubernetes What You’ll Do Research emerging techniques in retrieval, reasoning, and agentic AI, and evaluate what’s actually relevant to Fivetran AI’s roadmap Prototype new ideas quickly, then take the ones that prove out and turn them into shipped, production-grade features Build and maintain both back-end and front-end systems for the Fivetran AI product — from Agents Schema pipelines to the Context Catalog UI Contribute to the AISQL capability: natural language to SQL grounded in dbt metric definitions, executed natively against the warehouse Take ownership of production reliability: on-call rotation, incident response, and SRE work to keep the platform trustworthy at scale Write and maintain tests, and do hands-on QA to catch issues before customers do Use coding agents to automate the repetitive parts of the job, freeing up time for the research and design work that needs a human Partner with product and design, bringing your own understanding of the AI tooling market to shape what gets built next Develop software designs and contribute to the technical roadmap for the Fivetran AI platform Contribute to hiring by participating in the interview process Skills We’re Looking For 5+ years of programming experience across Python and/or Java, with the ability to move fluidly between back-end and front-end work Considered a trusted expert in your subject area, capable of executing complex, ambiguous tasks with minimal hand-holding Comfortable reading AI/ML research and turning promising findings into working prototypes Strong product and market awareness — able to judge which emerging techniques are worth building versus which are hype Experience with SQL and data warehouses (BigQuery, Snowflake, Databricks, or similar) Genuine willingness to work across the full stack: research, backend, frontend, SRE, and QA, as the team’s needs demand Writes well-structured, performant code and can dive into unfamiliar codebases to suggest improvements Experience using coding agents or similar AI tooling to speed up day-to-day engineering work Analytical mindset to identify gaps in existing systems and design practical, pragmatic improvements Thrives in a startup-like environment with shifting priorities and a high degree of ownership Bonus Skills Experience with LLM-powered applications — RAG pipelines, embeddings, evaluation frameworks, or agent frameworks Familiarity with semantic layers — dbt, LookML, Sigma, or similar Experience with the MCP (Model Context Protocol) ecosystem or building AI agent integrations Background in site reliability engineering — monitoring, alerting, incident response Experience in data processing (ETL, ELT) and/or building data connectors Experienced working in a cloud environment utilizing AWS, GCP, Kubernetes, or Docker Contributions to open source AI or data projects #LI-HYBRID #LI-AM1 The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role.  Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process. New York Pay Range $174,915 — $209,906.50 USD Perks and Benefits 100% employer-paid medical insurance * Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. * May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes . Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here . We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.

Location: Denver, Colorado, United States, AMER From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About Us Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites. About the Role Fivetran and dbt are building the open data infrastructure that powers AI agents you can trust. Fivetran is looking for a Senior R&D Software Engineer to join our fast-growing Fivetran AI team. Your data stack was built for humans — but agents are the new primary data consumers, and they have fundamentally different requirements. Agents can’t intuit context; it must be explicitly codified, governed, and traceable. We’re building the governed context layer that solves this problem: Agents Schema, an open standard for storing agent-ready context directly in the customer’s own data warehouse, and Context Builder, the managed service that keeps it filled and fresh. This role goes well beyond standard engineering. You’ll research emerging techniques in the fast-moving AI landscape and bring real product and market understanding to decide which ideas are worth pursuing — and then you’ll take what you’ve learned and ship it as production software. We’re looking for a true generalist who is willing and able to wear whatever hat the moment calls for: prototyping a new retrieval technique one week, hardening a backend service the next, then doing SRE or QA work when the team needs it. Fivetran AI operates like a startup within Fivetran, and we need engineers who thrive on that range rather than staying in one lane. Fivetran is the epitome of data-driven development — our engineering team is focused on building a world class product that: Builds Infrastructure Agents Can Trust — join our mission to deliver the governed context layer that AI agents depend on: accurate semantic definitions, traceable lineage, data contracts, and auditable history baked in from the start. Embraces Open Standards — help build portable, interoperable data infrastructure: Agents Schema, open formats (Iceberg, Delta Lake), MCP-native interfaces, and connector skills that work with any model and any compute. Scales Without Breaking — work to make Fivetran AI efficient at agent scale, where unit costs deflate as volume grows and context retrieval is fast, accurate, and cost-controlled. We emphasize using no-nonsense tools and take great pride in the simplicity and effectiveness of the systems we build. Our back-end is built on Java, Python, Postgres, and Kubernetes, and our front-end is built on React and TypeScript. This is a full-time hybrid position based out of our Denver, CO office. Our hybrid work model offers a blend of remote flexibility and in-person collaboration, including two days in the office each week to connect and build as a team. Technologies You’ll Use Python, Java, SQL, dbt, LLMs (Claude, ChatGPT, Gemini), vector databases, BigQuery / Snowflake / Databricks, MCP protocol, React, TypeScript, Kubernetes What You’ll Do Research emerging techniques in retrieval, reasoning, and agentic AI, and evaluate what’s actually relevant to Fivetran AI’s roadmap Prototype new ideas quickly, then take the ones that prove out and turn them into shipped, production-grade features Build and maintain both back-end and front-end systems for the Fivetran AI product — from Agents Schema pipelines to the Context Catalog UI Contribute to the AISQL capability: natural language to SQL grounded in dbt metric definitions, executed natively against the warehouse Take ownership of production reliability: on-call rotation, incident response, and SRE work to keep the platform trustworthy at scale Write and maintain tests, and do hands-on QA to catch issues before customers do Use coding agents to automate the repetitive parts of the job, freeing up time for the research and design work that needs a human Partner with product and design, bringing your own understanding of the AI tooling market to shape what gets built next Develop software designs and contribute to the technical roadmap for the Fivetran AI platform Contribute to hiring by participating in the interview process Skills We’re Looking For 5+ years of programming experience across Python and/or Java, with the ability to move fluidly between back-end and front-end work Considered a trusted expert in your subject area, capable of executing complex, ambiguous tasks with minimal hand-holding Comfortable reading AI/ML research and turning promising findings into working prototypes Strong product and market awareness — able to judge which emerging techniques are worth building versus which are hype Experience with SQL and data warehouses (BigQuery, Snowflake, Databricks, or similar) Genuine willingness to work across the full stack: research, backend, frontend, SRE, and QA, as the team’s needs demand Writes well-structured, performant code and can dive into unfamiliar codebases to suggest improvements Experience using coding agents or similar AI tooling to speed up day-to-day engineering work Analytical mindset to identify gaps in existing systems and design practical, pragmatic improvements Thrives in a startup-like environment with shifting priorities and a high degree of ownership Bonus Skills Experience with LLM-powered applications — RAG pipelines, embeddings, evaluation frameworks, or agent frameworks Familiarity with semantic layers — dbt, LookML, Sigma, or similar Experience with the MCP (Model Context Protocol) ecosystem or building AI agent integrations Background in site reliability engineering — monitoring, alerting, incident response Experience in data processing (ETL, ELT) and/or building data connectors Experienced working in a cloud environment utilizing AWS, GCP, Kubernetes, or Docker Contributions to open source AI or data projects #LI-HYBRID #LI-AM1 The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role.  Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process. Denver Pay Range $163,920.50 — $196,712.50 USD Perks and Benefits 100% employer-paid medical insurance * Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. * May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes . Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here . We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.

Location: USA - Austin (dbt) From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About Us Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites. About the Role Fivetran and dbt are building the open data infrastructure that powers AI agents you can trust. Fivetran is looking for a Senior R&D Software Engineer to join our fast-growing Fivetran AI team. Your data stack was built for humans — but agents are the new primary data consumers, and they have fundamentally different requirements. Agents can’t intuit context; it must be explicitly codified, governed, and traceable. We’re building the governed context layer that solves this problem: Agents Schema, an open standard for storing agent-ready context directly in the customer’s own data warehouse, and Context Builder, the managed service that keeps it filled and fresh. This role goes well beyond standard engineering. You’ll research emerging techniques in the fast-moving AI landscape and bring real product and market understanding to decide which ideas are worth pursuing — and then you’ll take what you’ve learned and ship it as production software. We’re looking for a true generalist who is willing and able to wear whatever hat the moment calls for: prototyping a new retrieval technique one week, hardening a backend service the next, then doing SRE or QA work when the team needs it. Fivetran AI operates like a startup within Fivetran, and we need engineers who thrive on that range rather than staying in one lane. Fivetran is the epitome of data-driven development — our engineering team is focused on building a world class product that: Builds Infrastructure Agents Can Trust — join our mission to deliver the governed context layer that AI agents depend on: accurate semantic definitions, traceable lineage, data contracts, and auditable history baked in from the start. Embraces Open Standards — help build portable, interoperable data infrastructure: Agents Schema, open formats (Iceberg, Delta Lake), MCP-native interfaces, and connector skills that work with any model and any compute. Scales Without Breaking — work to make Fivetran AI efficient at agent scale, where unit costs deflate as volume grows and context retrieval is fast, accurate, and cost-controlled. We emphasize using no-nonsense tools and take great pride in the simplicity and effectiveness of the systems we build. Our back-end is built on Java, Python, Postgres, and Kubernetes, and our front-end is built on React and TypeScript. This is a full-time hybrid position based out of our Austin, TX office. Our hybrid work model offers a blend of remote flexibility and in-person collaboration, including two days in the office each week to connect and build as a team. Technologies You’ll Use Python, Java, SQL, dbt, LLMs (Claude, ChatGPT, Gemini), vector databases, BigQuery / Snowflake / Databricks, MCP protocol, React, TypeScript, Kubernetes What You’ll Do Research emerging techniques in retrieval, reasoning, and agentic AI, and evaluate what’s actually relevant to Fivetran AI’s roadmap Prototype new ideas quickly, then take the ones that prove out and turn them into shipped, production-grade features Build and maintain both back-end and front-end systems for the Fivetran AI product — from Agents Schema pipelines to the Context Catalog UI Contribute to the AISQL capability: natural language to SQL grounded in dbt metric definitions, executed natively against the warehouse Take ownership of production reliability: on-call rotation, incident response, and SRE work to keep the platform trustworthy at scale Write and maintain tests, and do hands-on QA to catch issues before customers do Use coding agents to automate the repetitive parts of the job, freeing up time for the research and design work that needs a human Partner with product and design, bringing your own understanding of the AI tooling market to shape what gets built next Develop software designs and contribute to the technical roadmap for the Fivetran AI platform Contribute to hiring by participating in the interview process Skills We’re Looking For 5+ years of programming experience across Python and/or Java, with the ability to move fluidly between back-end and front-end work Considered a trusted expert in your subject area, capable of executing complex, ambiguous tasks with minimal hand-holding Comfortable reading AI/ML research and turning promising findings into working prototypes Strong product and market awareness — able to judge which emerging techniques are worth building versus which are hype Experience with SQL and data warehouses (BigQuery, Snowflake, Databricks, or similar) Genuine willingness to work across the full stack: research, backend, frontend, SRE, and QA, as the team’s needs demand Writes well-structured, performant code and can dive into unfamiliar codebases to suggest improvements Experience using coding agents or similar AI tooling to speed up day-to-day engineering work Analytical mindset to identify gaps in existing systems and design practical, pragmatic improvements Thrives in a startup-like environment with shifting priorities and a high degree of ownership Bonus Skills Experience with LLM-powered applications — RAG pipelines, embeddings, evaluation frameworks, or agent frameworks Familiarity with semantic layers — dbt, LookML, Sigma, or similar Experience with the MCP (Model Context Protocol) ecosystem or building AI agent integrations Background in site reliability engineering — monitoring, alerting, incident response Experience in data processing (ETL, ELT) and/or building data connectors Experienced working in a cloud environment utilizing AWS, GCP, Kubernetes, or Docker Contributions to open source AI or data projects #LI-HYBRID #LI-AM1 The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role.  Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process. Pay Range $163,920.50 — $196,712.50 USD Perks and Benefits 100% employer-paid medical insurance * Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. * May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes . Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here . We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.

Location: Oakland, California, United States, AMER From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About Us Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites. About the Role Fivetran and dbt are building the open data infrastructure that powers AI agents you can trust. Fivetran is looking for a Senior R&D Software Engineer to join our fast-growing Fivetran AI team. Your data stack was built for humans — but agents are the new primary data consumers, and they have fundamentally different requirements. Agents can’t intuit context; it must be explicitly codified, governed, and traceable. We’re building the governed context layer that solves this problem: Agents Schema, an open standard for storing agent-ready context directly in the customer’s own data warehouse, and Context Builder, the managed service that keeps it filled and fresh. This role goes well beyond standard engineering. You’ll research emerging techniques in the fast-moving AI landscape and bring real product and market understanding to decide which ideas are worth pursuing — and then you’ll take what you’ve learned and ship it as production software. We’re looking for a true generalist who is willing and able to wear whatever hat the moment calls for: prototyping a new retrieval technique one week, hardening a backend service the next, then doing SRE or QA work when the team needs it. Fivetran AI operates like a startup within Fivetran, and we need engineers who thrive on that range rather than staying in one lane. Fivetran is the epitome of data-driven development — our engineering team is focused on building a world class product that: Builds Infrastructure Agents Can Trust — join our mission to deliver the governed context layer that AI agents depend on: accurate semantic definitions, traceable lineage, data contracts, and auditable history baked in from the start. Embraces Open Standards — help build portable, interoperable data infrastructure: Agents Schema, open formats (Iceberg, Delta Lake), MCP-native interfaces, and connector skills that work with any model and any compute. Scales Without Breaking — work to make Fivetran AI efficient at agent scale, where unit costs deflate as volume grows and context retrieval is fast, accurate, and cost-controlled. We emphasize using no-nonsense tools and take great pride in the simplicity and effectiveness of the systems we build. Our back-end is built on Java, Python, Postgres, and Kubernetes, and our front-end is built on React and TypeScript. This is a full-time hybrid position based out of our Oakland, CA office. Our hybrid work model offers a blend of remote flexibility and in-person collaboration, including two days in the office each week to connect and build as a team. Technologies You’ll Use Python, Java, SQL, dbt, LLMs (Claude, ChatGPT, Gemini), vector databases, BigQuery / Snowflake / Databricks, MCP protocol, React, TypeScript, Kubernetes What You’ll Do Research emerging techniques in retrieval, reasoning, and agentic AI, and evaluate what’s actually relevant to Fivetran AI’s roadmap Prototype new ideas quickly, then take the ones that prove out and turn them into shipped, production-grade features Build and maintain both back-end and front-end systems for the Fivetran AI product — from Agents Schema pipelines to the Context Catalog UI Contribute to the AISQL capability: natural language to SQL grounded in dbt metric definitions, executed natively against the warehouse Take ownership of production reliability: on-call rotation, incident response, and SRE work to keep the platform trustworthy at scale Write and maintain tests, and do hands-on QA to catch issues before customers do Use coding agents to automate the repetitive parts of the job, freeing up time for the research and design work that needs a human Partner with product and design, bringing your own understanding of the AI tooling market to shape what gets built next Develop software designs and contribute to the technical roadmap for the Fivetran AI platform Contribute to hiring by participating in the interview process Skills We’re Looking For 5+ years of programming experience across Python and/or Java, with the ability to move fluidly between back-end and front-end work Considered a trusted expert in your subject area, capable of executing complex, ambiguous tasks with minimal hand-holding Comfortable reading AI/ML research and turning promising findings into working prototypes Strong product and market awareness — able to judge which emerging techniques are worth building versus which are hype Experience with SQL and data warehouses (BigQuery, Snowflake, Databricks, or similar) Genuine willingness to work across the full stack: research, backend, frontend, SRE, and QA, as the team’s needs demand Writes well-structured, performant code and can dive into unfamiliar codebases to suggest improvements Experience using coding agents or similar AI tooling to speed up day-to-day engineering work Analytical mindset to identify gaps in existing systems and design practical, pragmatic improvements Thrives in a startup-like environment with shifting priorities and a high degree of ownership Bonus Skills Experience with LLM-powered applications — RAG pipelines, embeddings, evaluation frameworks, or agent frameworks Familiarity with semantic layers — dbt, LookML, Sigma, or similar Experience with the MCP (Model Context Protocol) ecosystem or building AI agent integrations Background in site reliability engineering — monitoring, alerting, incident response Experience in data processing (ETL, ELT) and/or building data connectors Experienced working in a cloud environment utilizing AWS, GCP, Kubernetes, or Docker Contributions to open source AI or data projects #LI-HYBRID #LI-AM1 The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role.  Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process. Oakland Pay Range $174,915 — $209,906.50 USD Perks and Benefits 100% employer-paid medical insurance * Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. * May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes . Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here . We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.

Location: Hybrid - San Francisco, New York City, Austin About Vercel: Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience. Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide. About the role We're hiring a Head of Professional Services to build and lead Vercel's global professional services organization, composed of our Technical Account Management (TAM) and Forward Deployed Engineering (FDE) functions. These functions embed directly with our most strategic customers to design, build, and ship production applications on Vercel using Vercel's core platform, Next.js and our agent stack, taking projects from first prototype through production rollout. You will define how this function operates: the engagement model, the delivery methodology, the commercial structure, and the team itself. You will report directly to our Global Head of Field Engineering, and partner closely with GTM and Product Leadership to run a business function that turns our largest customers' complex implementations into production deployments, drives adoption and expansion, and feeds what you learn in the field back into our product roadmap. This is a hybrid position based in San Francisco, Austin or New York, with 3 days per week (Monday, Tuesday, Friday) required in office. What you'll do Define the engagement model: how engagements are scoped, staffed, sequenced, and measured, and which accounts qualify for embedded support. Own delivery excellence for strategic customer engagements, from discovery and technical scoping through production deployment and stabilization. Establish the commercial model for professional services, including packaging, pricing, capacity planning, and resource allocation across competing customer priorities. Stay hands-on where it matters: architecture reviews, system design, and unblocking critical engagements alongside your team. Codify field learnings into repeatable playbooks, reference architectures, and delivery patterns that scale beyond individual engagements What you need 10+ years in software engineering, forward deployed engineering, or technical consulting roles, with at least 5 years leading customer-facing engineering or delivery teams in a high-growth environment. Experience building a team, function, or service line from zero, including hiring, methodology, and operating model. Strong background in modern web technologies (JavaScript/TypeScript, React, Next.js, Node.js, cloud infrastructure) with the ability to review code and whiteboard architectures credibly. Experience building or deploying LLM-powered applications and an understanding of how model behavior shapes product decisions. Commercial acumen: you have scoped, priced, and delivered technical engagements for enterprise customers and understand utilization, margin, and capacity tradeoffs Bonus if you Have built with Vercel, Next.js, AI SDK, or v0. Have led forward deployed or embedded engineering teams at an AI-native or developer platform company. Have owned a professional services P&L or defined services pricing and packaging from scratch. Are comfortable representing the function externally at conferences, customer executive briefings, or large-scale events. Benefits & Compensation: Competitive compensation package, including equity. Inclusive Healthcare Package. Learn and Grow - we provide mentorship and send you to events that help you build your network and skills. Flexible Time Off. We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed. The San Francisco, CA base pay range for this role is $300,000 - $370,000 plus annual bonus. Actual salary will be based on job-related skills, experience, and location. Compensation outside of San Francisco may be adjusted based on employee location. The total compensation package may include benefits, equity-based compensation, and eligibility for a company bonus or variable pay program depending on the role. Your recruiter can share more details during the hiring process. Disclosures: Privacy: Please review our Job Applicant Privacy Policy for more information on how we handle your data. Equal Opportunity: Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don't necessarily check every box on the job description.

Location: Hybrid - San Francisco, New York City, Austin About Vercel: Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience. Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide. About the role We are looking for a Head of Solutions Architecture to join our global Field Engineering team. You will build and lead the technical sales organization behind our relationships with the new and leading startups shaping how web and AI products get built. These teams ship using Vercel's core platform, Next.js, and our AI stack, and the technical decisions made in their first architecture review often determine how far they scale with us. You will own a global team of Solutions Architects within our Startups sales organization. You will set the bar for technical excellence across the deal cycle, coach your team through strategic accounts and critical deals, and step in yourself when it matters most: architecture reviews, migration plans, and high-stakes presentations. Beyond running the team, you will shape how Vercel wins in this segment. You will turn patterns from the field into repeatable plays and carry what startups tell you back to our engineering org so it shows up in the product. You will report directly to our Global Head of Field Engineering and partner closely with Sales and Field Engineering leadership to win new business and expand existing accounts. You will also own org planning, staffing, budgeting, and recruiting as you build the team this segment needs. This is a hybrid position based in San Francisco, Austin, or New York, with 3 days per week in office. What you'll do Lead, develop, and manage Vercel's global Startups SA team, ensuring technical excellence across the pre-sales cycle. Provide hands-on support for key accounts as needed (presentations, architecture reviews, migration plans). Oversee and coach SA engagement on strategic accounts and critical deals, developing repeatable plays from trends you are seeing across your team. Track and report SA performance to Sales and Field Engineering leadership quarterly. Own org planning, staffing, budgeting, and recruiting. What you need 10+ years of experience in Solutions Architecture, Sales Engineering, or similar technical pre-sales roles, with at least 5 years in a formal leadership position. Strong background in modern web technologies (JavaScript, React, Next.js, Node.js, APIs, cloud infrastructure). Proven ability to lead, coach, and scale technical teams in a high-growth environment. Demonstrated success working with startups as customers across diverse industries. Strong understanding of modern software development workflows (CI/CD, DevOps, frontend frameworks). Experience collaborating with Sales, Product, and Engineering teams to drive customer success. Bonus if you Have experience working with Vercel, Next.js, or similar frontend frameworks. Have led SA teams at a high-growth developer tool or cloud infrastructure company. Bring expertise in developer tooling, edge computing, or performance optimization. Are comfortable presenting at conferences, webinars, or large-scale customer events. Benefits & Compensation: Competitive compensation package, including equity. Inclusive Healthcare Package. Learn and Grow - we provide mentorship and send you to events that help you build your network and skills. Flexible Time Off. We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed. The San Francisco, CA OTE pay range for this position is $382,000 - $485,000 OTE. Actual salary will be based on job-related skills, experience, and location. Compensation outside of San Francisco may be adjusted based on employee location. The total compensation package may include benefits, equity-based compensation, and eligibility for a company bonus or variable pay program depending on the role. Your recruiter can share more details during the hiring process. Disclosures: Privacy: Please review our Job Applicant Privacy Policy for more information on how we handle your data. Equal Opportunity: Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don't necessarily check every box on the job description.

Location: San Francisco Bay Area, USA Workplace: Hybrid Why work at Higgsfield AI? Higgsfield AI is the fastest-scaling generative AI company in history, hitting $1B in annual revenue run rate, 30M+ users worldwide, 6M+ generations per day, and powering 390 of Fortune 500 brands. We're building at the absolute frontier of AI-powered video creation and next-generation creative tools. Joining Higgsfield means becoming part of a high-impact team shaping the future of AI-native creativity, at a company that isn't just moving fast—but rewriting what fast looks like. The Role Higgsfield AI is seeking a Senior PR Manager - Consumer, Influencer & Entertainment PR to define and lead our global consumer communications strategy. This is a hybrid role based in San Francisco. This leader will own Higgsfield's public narrative across consumer media, creator culture, entertainment, lifestyle, technology, and social influence. You'll build excitement around our products, launch category-defining campaigns, cultivate relationships with creators and celebrities, and position Higgsfield as the most culturally relevant AI company in the world. This role reports closely into executive leadership and partners across Marketing, Product, Social, Partnerships, and Creative. What You'll Do Consumer Communications - Develop and execute Higgsfield's global consumer PR strategy. - Lead media campaigns surrounding product launches, milestones, partnerships, and brand moments. - Position Higgsfield as the leading consumer AI platform through proactive storytelling. - Secure top-tier coverage across technology, consumer, entertainment, and lifestyle media. Creator & Entertainment Relations - Build strategic relationships with creators, influencers, celebrities, talent agencies, studios, labels, and entertainment partners. - Identify cultural moments where Higgsfield can authentically participate. - Support creator launches, exclusive collaborations, and high-profile partnerships. - Develop VIP engagement strategies surrounding major product announcements. - Curate in person and virtual events to drive relationship building, social media and earned media coverage. Brand Storytelling - Shape messaging that resonates with creators, artists, filmmakers, brands, and consumers. - Partner closely with Product Marketing to simplify complex AI innovations into compelling narratives. - Build executive visibility opportunities alongside marketing campaigns. Product Launch Communications - Own communications strategy for major product releases. - Coordinate embargoes, media briefings, exclusive interviews, and launch events. - Create launch playbooks that generate sustained media momentum. Agency & Media Management - Manage external PR agencies globally. - Build relationships with journalists across consumer technology, entertainment, creator economy, lifestyle, and culture. - Track media performance and continuously optimize communications strategy. What We're Looking For - 7-12 years of communications or public relations experience. - Experience leading consumer communications for high-growth technology, entertainment, social media, gaming, creator economy, or AI companies. - Deep relationships across consumer technology and entertainment media. - Strong network within influencer, creator, Hollywood, music, sports, or digital talent ecosystems. - Exceptional storytelling and messaging abilities. - Experience leading global product launches. - Comfortable operating in fast-moving startup environments. - Strong executive communications skills. - Agency management experience preferred. Compensation & Benefits We offer a competitive and thoughtfully structured compensation package designed to align with impact and growth. Base Salary: The anticipated salary range for this role is $180,000 - $210,000, depending on experience, skills, and location. In addition to cash compensation, we offer equity and a comprehensive benefits package to support you both professionally and personally. This is a hybrid role based in the San Francisco Bay Area. Team members are expected to work from our San Francisco office three full days per week, with the remaining days worked remotely and are expected to be available during agreed working hours and to maintain sufficient overlap with the relevant team’s time zone. We value in-person collaboration, active communication, responsiveness, and close partnership across teams. Higgsfield AI is an equal opportunity employer. We are committed to building a diverse and inclusive team and do not discriminate on the basis of race, color, religion, sex, gender identity or expression, sexual orientation, national origin, age, disability, veteran status, or any other protected characteristic.