GoodData.AI is an AI-native analytics platform helping companies turn their data into governed, agentic, and embeddable decision-making experiences. Built around a headless semantic layer and an analytics-as-code approach, our platform lets development teams build, automate, and govern analytics the same way they build any other software — with CI/CD, version control, and automated testing baked in.
We're looking for a Sr. Software Engineer (Backend) to help us build the next generation of composable, AI-driven analytics infrastructure. You can work remote, hybrid, or fully onsite from our Brno or Prague offices.
The team builds a product-oriented Analytical Stack, collaborating closely with dedicated Product Manager, Architect and QA, to solve real customer problems and deliver features that make a difference. We collaborate to design solutions incrementally and value ownership and responsibility. Our engineers take end-to-end ownership of their work, with the freedom to experiment, innovate, and contribute to shaping the product.
Our tech stack is built for scalability, efficiency, and flexibility in data processing
Our backend is primarily developed in Python (with types) and Kotlin, with a focus on modular microservices handling various aspects of the data pipeline, including orchestration, integration, and processing. We also recently started adopting more and more of Rust in performance-critical parts of our services.
We deploy on Kubernetes, leveraging technologies like Apache Arrow, DuckDB, Pandas, and Polars for high-performance data processing
We prioritize distributed architecture and scalability, crafting high-quality, test-driven code while influencing technical solutions, best practices, and API design—both internally and externally
You are used to working on more than one project. You thrive in a dynamic, collaborative environment and enjoy taking initiative. You are proactive, open-minded, and enthusiastic about learning new technologies.
A robust background in computer science,
experience with object-oriented programming,
interest in clean software architecture,
a passion for distributed systems and data processing,
good proficiency in spoken and written English,
passion for your work, focus on technical excellence and quality of the delivered solutions,
a strong sense of ownership, while being open to constructive feedback.
Working knowledge of Apache Arrow and other open source data technologies
Python/ Kotlin experience
At GoodData.AI, we’re building the future of agentic AI for data intelligence.
Our full-stack data intelligence platform empowers companies to turn raw data into real business impact — from agentic AI apps to embedded analytics that scale securely and seamlessly. With GoodData.AI, organizations don’t just analyze data, they monetize it.
But what really sets GoodData.AI apart is our mission: to put intelligence wherever decisions are made. That’s why we’ve built a platform that’s AI-native, composable, and built for the way modern enterprises work.
#LI-Hybrid
#LI-Remote
","descriptionPlain":"GoodData.AI is an AI-native analytics platform helping companies turn their data into governed, agentic, and embeddable decision-making experiences. Built around a headless semantic layer and an analytics-as-code approach, our platform lets development teams build, automate, and govern analytics the same way they build any other software — with CI/CD, version control, and automated testing baked in. \n\nWe're looking for a Sr. Software Engineer (Backend) to help us build the next generation of composable, AI-driven analytics infrastructure. You can work remote, hybrid, or fully onsite from our Brno or Prague offices.\n\n\n\n\nABOUT THE TEAM\n\nThe team builds a product-oriented Analytical Stack, collaborating closely with dedicated Product Manager, Architect and QA, to solve real customer problems and deliver features that make a difference. We collaborate to design solutions incrementally and value ownership and responsibility. Our engineers take end-to-end ownership of their work, with the freedom to experiment, innovate, and contribute to shaping the product.\n\n\n\n\nOUR TECH STACK\n\n - Our tech stack is built for scalability, efficiency, and flexibility in data processing\n\n - Our backend is primarily developed in Python (with types) and Kotlin, with a focus on modular microservices handling various aspects of the data pipeline, including orchestration, integration, and processing. We also recently started adopting more and more of Rust in performance-critical parts of our services.\n\n - We deploy on Kubernetes, leveraging technologies like Apache Arrow, DuckDB, Pandas, and Polars for high-performance data processing\n\n - We prioritize distributed architecture and scalability, crafting high-quality, test-driven code while influencing technical solutions, best practices, and API design—both internally and externally\n\n\n\n\n\nWHAT DO WE EXPECT FROM YOU?\n\nYou are used to working on more than one project. You thrive in a dynamic, collaborative environment and enjoy taking initiative. You are proactive, open-minded, and enthusiastic about learning new technologies.\n\n\n\n\nYOU SHOULD HAVE\n\n - A robust background in computer science,\n\n - experience with object-oriented programming,\n\n - interest in clean software architecture,\n\n - a passion for distributed systems and data processing,\n\n - good proficiency in spoken and written English,\n\n - passion for your work, focus on technical excellence and quality of the delivered solutions,\n\n - a strong sense of ownership, while being open to constructive feedback.\n\n\n\n\nIT IS NICE IF YOU HAVE\n\n - Working knowledge of Apache Arrow and other open source data technologies\n\n - Python/ Kotlin experience\n\n\n\n\nABOUT GOODDATA.AI\n\nAt GoodData.AI, we’re building the future of agentic AI for data intelligence.\n\nOur full-stack data intelligence platform empowers companies to turn raw data into real business impact — from agentic AI apps to embedded analytics that scale securely and seamlessly. With GoodData.AI, organizations don’t just analyze data, they monetize it.\n\nBut what really sets GoodData.AI apart is our mission: to put intelligence wherever decisions are made. That’s why we’ve built a platform that’s AI-native, composable, and built for the way modern enterprises work.\n\n\n\n#LI-Hybrid\n\n#LI-Remote"},{"id":"21776e66-081d-4f09-97e5-b58df2dcdcc9","title":"(Sr.) AI Python Developer","department":"Engineering","team":"Engineering","employmentType":"FullTime","location":"Prague","secondaryLocations":[],"publishedAt":"2026-09-25T09:11:14.056+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"Central Bohemia","addressCountry":"Czech Republic","addressLocality":"Prague"}},"jobUrl":"https://jobs.ashbyhq.com/gooddata/21776e66-081d-4f09-97e5-b58df2dcdcc9","applyUrl":"https://jobs.ashbyhq.com/gooddata/21776e66-081d-4f09-97e5-b58df2dcdcc9/application","descriptionHtml":"GoodData.ai is a cloud-based business intelligence platform revolutionizing the way in which companies provide analytics to their customers and partners. Our mission? To push the boundaries of BI and redefine the analytics experience through the power of AI.
Join us in building a groundbreaking AI-powered data analytics platform, where we focus on delivering real value—AI without the hype.
We’re creating an AI solution and now pushing it into the production phase. Be part of the journey as we shape the future of Analytics Intelligence.
Design and enhance sophisticated AI systems with multiple layers, including routers, agents, evaluation (LLM-as-a-judge), and AI monitoring.
Develop and optimize a multi-layered agentic AI system: routers, tool-calling agents, RAG pipelines, evaluation (LLM-as-a-judge), and AI observability.
Play a key role in shaping the architecture of our groundbreaking AI solution as we transition it into the production phase.
Implement Python-based microservices within Kubernetes, ensuring seamless integration and communication between services in the cloud.
Focus on scalability, performance, and security across our AI infrastructure, contributing to a robust and reliable product.
Work closely with a diverse team of subject-matter experts, including senior engineers, UX designers, and project managers, to bring innovative ideas to life.
Proficiency in Python and experience with building microservices.
Familiarity with generative AI concepts - LLM APIs, tool/function calling, prompting - and an interest in building AI-driven solutions.
Experience with cloud-based back-end systems and distributed architectures (such as Kubernetes, Docker, gRPC, Protobuf, Pulsar, AWS, GCP, Azure...).
Ability to work collaboratively in a dynamic team environment.
You are proactive and self-driven.
Proven ability to quickly learn and understand complex subject matter.
Knowledge of Prompt engineering, LLM Ops, RAG framework.
Hands-on experience building agentic systems.
Experience with CI/CD style of development.
Familiarity with data science concepts or building ML infrastructure.
At GoodData.AI, we’re building the future of agentic AI for data intelligence.
Our full-stack data intelligence platform empowers companies to turn raw data into real business impact — from agentic AI apps to embedded analytics that scale securely and seamlessly. With GoodData.AI, organizations don’t just analyze data, they monetize it.
But what really sets GoodData.AI apart is our mission: to put intelligence wherever decisions are made. That’s why we’ve built a platform that’s AI-native, composable, and built for the way modern enterprises work.
#LI-Hybrid
","descriptionPlain":"GoodData.ai is a cloud-based business intelligence platform revolutionizing the way in which companies provide analytics to their customers and partners. Our mission? To push the boundaries of BI and redefine the analytics experience through the power of AI.\n\nJoin us in building a groundbreaking AI-powered data analytics platform, where we focus on delivering real value—AI without the hype.\n\nWe’re creating an AI solution and now pushing it into the production phase. Be part of the journey as we shape the future of Analytics Intelligence.\n\n\n\n\nWHAT WILL YOU DO?\n\n - Design and enhance sophisticated AI systems with multiple layers, including routers, agents, evaluation (LLM-as-a-judge), and AI monitoring.\n\n - Develop and optimize a multi-layered agentic AI system: routers, tool-calling agents, RAG pipelines, evaluation (LLM-as-a-judge), and AI observability.\n\n - Play a key role in shaping the architecture of our groundbreaking AI solution as we transition it into the production phase.\n\n - Implement Python-based microservices within Kubernetes, ensuring seamless integration and communication between services in the cloud.\n\n - Focus on scalability, performance, and security across our AI infrastructure, contributing to a robust and reliable product.\n\n - Work closely with a diverse team of subject-matter experts, including senior engineers, UX designers, and project managers, to bring innovative ideas to life.\n\n\n\n\nABOUT YOU\n\n - Proficiency in Python and experience with building microservices.\n\n - Familiarity with generative AI concepts - LLM APIs, tool/function calling, prompting - and an interest in building AI-driven solutions.\n\n - Experience with cloud-based back-end systems and distributed architectures (such as Kubernetes, Docker, gRPC, Protobuf, Pulsar, AWS, GCP, Azure...).\n\n - Ability to work collaboratively in a dynamic team environment.\n\n - You are proactive and self-driven.\n\n - Proven ability to quickly learn and understand complex subject matter.\n\n\n\n\nNICE TO HAVE\n\n - Knowledge of Prompt engineering, LLM Ops, RAG framework.\n\n - Hands-on experience building agentic systems.\n\n - Experience with CI/CD style of development.\n\n - Familiarity with data science concepts or building ML infrastructure.\n\n\n\n\nABOUT GOODDATA.AI\n\nAt GoodData.AI, we’re building the future of agentic AI for data intelligence.\n\nOur full-stack data intelligence platform empowers companies to turn raw data into real business impact — from agentic AI apps to embedded analytics that scale securely and seamlessly. With GoodData.AI, organizations don’t just analyze data, they monetize it.\n\nBut what really sets GoodData.AI apart is our mission: to put intelligence wherever decisions are made. That’s why we’ve built a platform that’s AI-native, composable, and built for the way modern enterprises work.\n\n\n\n#LI-Hybrid"},{"id":"f1b63c98-277b-410d-bfd9-3137cca77ae5","title":"BI Solution Architect - Agentic Analytics","department":"Services","team":"Services","employmentType":"FullTime","location":"Prague","secondaryLocations":[],"publishedAt":"2026-09-25T09:11:31.321+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":{"postalAddress":{"addressRegion":"Central Bohemia","addressCountry":"Czech Republic","addressLocality":"Prague"}},"jobUrl":"https://jobs.ashbyhq.com/gooddata/f1b63c98-277b-410d-bfd9-3137cca77ae5","applyUrl":"https://jobs.ashbyhq.com/gooddata/f1b63c98-277b-410d-bfd9-3137cca77ae5/application","descriptionHtml":"GoodData’s Professional Services team works with our customers to build BI solutions using the GoodData platform; build and customize analytical / reporting products to implement into client's internal systems. Our team is obsessed with guiding our customers to achieve value with our products in the shortest time possible. We play a critical role in managing the technical ins-and-outs of the implementation, as well as helping our customers realize the powerful business uses of our tools.
As a team, our leadership philosophy is to give team members autonomy in delivering high-quality work to our customers, while providing guidance and support where needed. Team members are expected to be passionate about expanding their expertise with technology, and continually growing their knowledge of the GoodData platform and related technologies. Additionally, team members will have the opportunity to gain experience working with international teams and customers. To help passionate professionals accelerate the growth of their skills and careers, our team fosters a culture of mentorship and training.
As a key member of our implementation team, you will be the person that guides our customers through their custom solution development and lead GoodData's technical resources. You will work directly with customers to understand the requirements and translate them into logical data models, ETL designs, dashboards, and general consulting the customers.
Design and implement BI and AI-powered analytics solutions on the GoodData platform, integrating LLMs and custom AI workflows to enhance data access and analysis.
Lead the technical aspects of the solution design, manage and coordinate the other members of the GoodData team across consulting, product, sales, support, and training.
Interface directly with customers during project implementations, and develop a trusted advisor relationship with customers.
Possess a comprehensive understanding of the GoodData products and services.
Contribute to the development of the GoodData Consulting team by mentoring other colleagues, extending our knowledge base, and improving the GoodData implementation methodologies.
Communicating with customers from the US market.
Proven experience building scalable BI solutions.
Strong technical skills with the ability to rapidly learn technical skills relevant to GoodData implementations.
IT consulting skills and experience, ability to set and manage customer expectations, and to negotiate appropriate resolutions to issues.
Practical experience integrating AI capabilities into analytics solutions using LLM APIs, prompt design, or structured outputs..
Experience with relational/dimensional data modeling.
Very good knowledge of SQL, and ability to design data pipelines (ETL processes).
Hands-on experience with AWS data architecture, including S3, Iceberg, Glue, Athena etc.
Self-directed with the ability to work simultaneous engagements with minimal supervision.
Fluent in written and spoken English.
Advanced knowledge of SQL and SQL query tuning and optimization.
Experience with leading BI engineers and analysts.
Experience with ETL tools and Data Warehousing techniques.
Knowledge of scripting languages (Ruby, Python, or other).
Knowledge of Web Services, REST.
Experience with RAG patterns, vector databases, AI agents, or LLM evaluation pipelines.
Project Management skills.
At GoodData.AI, we’re building the future of agentic AI for data intelligence.
Our full-stack data intelligence platform empowers companies to turn raw data into real business impact — from agentic AI apps to embedded analytics that scale securely and seamlessly. With GoodData.AI, organizations don’t just analyze data, they monetize it.
But what really sets GoodData.AI apart is our mission: to put intelligence wherever decisions are made. That’s why we’ve built a platform that’s AI-native, composable, and built for the way modern enterprises work.
#LI-Hybrid
","descriptionPlain":"GoodData’s Professional Services team works with our customers to build BI solutions using the GoodData platform; build and customize analytical / reporting products to implement into client's internal systems. Our team is obsessed with guiding our customers to achieve value with our products in the shortest time possible. We play a critical role in managing the technical ins-and-outs of the implementation, as well as helping our customers realize the powerful business uses of our tools.\n\n\n\n\nOUR TEAM\n\nAs a team, our leadership philosophy is to give team members autonomy in delivering high-quality work to our customers, while providing guidance and support where needed. Team members are expected to be passionate about expanding their expertise with technology, and continually growing their knowledge of the GoodData platform and related technologies. Additionally, team members will have the opportunity to gain experience working with international teams and customers. To help passionate professionals accelerate the growth of their skills and careers, our team fosters a culture of mentorship and training.\n\n\nAs a key member of our implementation team, you will be the person that guides our customers through their custom solution development and lead GoodData's technical resources. You will work directly with customers to understand the requirements and translate them into logical data models, ETL designs, dashboards, and general consulting the customers.\n\n\n\n\nWHAT WILL YOU DO\n\n - Design and implement BI and AI-powered analytics solutions on the GoodData platform, integrating LLMs and custom AI workflows to enhance data access and analysis.\n\n - Lead the technical aspects of the solution design, manage and coordinate the other members of the GoodData team across consulting, product, sales, support, and training.\n\n - Interface directly with customers during project implementations, and develop a trusted advisor relationship with customers.\n\n - Possess a comprehensive understanding of the GoodData products and services.\n\n - Contribute to the development of the GoodData Consulting team by mentoring other colleagues, extending our knowledge base, and improving the GoodData implementation methodologies.\n\n - Communicating with customers from the US market.\n\n\n\n\nABOUT YOU\n\n - Proven experience building scalable BI solutions.\n\n - Strong technical skills with the ability to rapidly learn technical skills relevant to GoodData implementations.\n\n - IT consulting skills and experience, ability to set and manage customer expectations, and to negotiate appropriate resolutions to issues.\n\n - Practical experience integrating AI capabilities into analytics solutions using LLM APIs, prompt design, or structured outputs..\n\n - Experience with relational/dimensional data modeling.\n\n - Very good knowledge of SQL, and ability to design data pipelines (ETL processes).\n\n - Hands-on experience with AWS data architecture, including S3, Iceberg, Glue, Athena etc.\n\n - Self-directed with the ability to work simultaneous engagements with minimal supervision.\n\n - Fluent in written and spoken English.\n\n \n\n\nIT IS NICE IF YOU HAVE\n\n - Advanced knowledge of SQL and SQL query tuning and optimization.\n\n - Experience with leading BI engineers and analysts.\n\n - Experience with ETL tools and Data Warehousing techniques.\n\n - Knowledge of scripting languages (Ruby, Python, or other).\n\n - Knowledge of Web Services, REST.\n\n - Experience with RAG patterns, vector databases, AI agents, or LLM evaluation pipelines.\n\n - Project Management skills.\n\n\n\n\nABOUT GOODDATA.AI\n\nAt GoodData.AI, we’re building the future of agentic AI for data intelligence.\n\nOur full-stack data intelligence platform empowers companies to turn raw data into real business impact — from agentic AI apps to embedded analytics that scale securely and seamlessly. With GoodData.AI, organizations don’t just analyze data, they monetize it.\n\nBut what really sets GoodData.AI apart is our mission: to put intelligence wherever decisions are made. That’s why we’ve built a platform that’s AI-native, composable, and built for the way modern enterprises work.\n\n\n\n#LI-Hybrid"},{"id":"999ff3f7-7ebb-4b64-a1f4-faf9265f0f4d","title":"Sr. Backend Engineer (Kotlin)","department":"Engineering","team":"Engineering","employmentType":"FullTime","location":"Prague","secondaryLocations":[{"location":"Brno","address":{"postalAddress":{"addressRegion":"South Moravia","addressCountry":"Czech Republic","addressLocality":"Brno"}}}],"publishedAt":"2026-09-25T09:10:35.779+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":{"postalAddress":{"addressRegion":"Central Bohemia","addressCountry":"Czech Republic","addressLocality":"Prague"}},"jobUrl":"https://jobs.ashbyhq.com/gooddata/999ff3f7-7ebb-4b64-a1f4-faf9265f0f4d","applyUrl":"https://jobs.ashbyhq.com/gooddata/999ff3f7-7ebb-4b64-a1f4-faf9265f0f4d/application","descriptionHtml":"GoodData.AI is a cloud-based analytics platform that helps organizations make data-driven decisions. We are hiring for an engaging job in a dynamic, international environment.
We are looking for a Senior Backend Engineer - Kotlin to join our team. Working remote or hybrid is a possibility, and we also have the option to work onsite from our Brno or Prague offices.
The team builds a product-oriented Analytical Stack, collaborating closely with a dedicated Product Manager, Architect and QA, to solve real customer problems and deliver features that make a difference. We collaborate to design solutions incrementally and value ownership and responsibility. Our engineers take end-to-end ownership of their work, with the freedom to experiment, innovate, and contribute to shaping the product.
Our tech stack is built for scalability, efficiency, and flexibility in data processing
Our backend is primarily developed in Kotlin and Python, with a focus on modular microservices handling various aspects of the data pipeline, including orchestration, integration, and processing.
We deploy on Kubernetes, leveraging technologies like Apache Calcite, DuckDB, Pandas, and Polars for high-performance data processing
We prioritize distributed architecture and scalability, crafting high-quality, test-driven code while influencing technical solutions, best practices, and API design—both internally and externally
Building a fast, distributed query engine using Kotlin and Apache Calcite.
Developing algorithms for parsing and transpiling into SQL from an internal query language (MAQL) based on semantic data models.
Designing APIs, writing test-driven code, and shaping product direction with your team
Collaborating with Product, QA, and Architects in a product-focused engineering team
You have experience delivering a variety of backend features. You thrive in a dynamic, collaborative environment and enjoy taking initiative. You are proactive, open-minded, and enthusiastic about learning new technologies.
A robust background in computer science,
experience with object-oriented programming,
interest in clean software architecture,
a passion for solving complex algorithmic problems,
good proficiency in spoken and written English,
passion for your work, focus on technical excellence and quality of the delivered solutions,
a strong sense of ownership, while being open to constructive feedback.
Working knowledge of open source data technologies
Experience with DB engines and Big data
Knowledge of semantic data modelling
At GoodData.AI, we’re building the future of agentic AI for data intelligence.
Our full-stack data intelligence platform empowers companies to turn raw data into real business impact — from agentic AI apps to embedded analytics that scale securely and seamlessly. With GoodData.AI, organizations don’t just analyze data, they monetize it.
But what really sets GoodData.AI apart is our mission: to put intelligence wherever decisions are made. That’s why we’ve built a platform that’s AI-native, composable, and built for the way modern enterprises work.
#LI-Hybrid
#LI-Remote
","descriptionPlain":"GoodData.AI is a cloud-based analytics platform that helps organizations make data-driven decisions. We are hiring for an engaging job in a dynamic, international environment.\n\nWe are looking for a Senior Backend Engineer - Kotlin to join our team. Working remote or hybrid is a possibility, and we also have the option to work onsite from our Brno or Prague offices.\n\n\n\n\nABOUT THE TEAM\n\nThe team builds a product-oriented Analytical Stack, collaborating closely with a dedicated Product Manager, Architect and QA, to solve real customer problems and deliver features that make a difference. We collaborate to design solutions incrementally and value ownership and responsibility. Our engineers take end-to-end ownership of their work, with the freedom to experiment, innovate, and contribute to shaping the product.\n\n\n\n\nOUR TECH STACK\n\n - Our tech stack is built for scalability, efficiency, and flexibility in data processing\n\n - Our backend is primarily developed in Kotlin and Python, with a focus on modular microservices handling various aspects of the data pipeline, including orchestration, integration, and processing.\n\n - We deploy on Kubernetes, leveraging technologies like Apache Calcite, DuckDB, Pandas, and Polars for high-performance data processing\n\n - We prioritize distributed architecture and scalability, crafting high-quality, test-driven code while influencing technical solutions, best practices, and API design—both internally and externally\n\n\n\n\nWHAT YOU'LL BE DOING\n\n - Building a fast, distributed query engine using Kotlin and Apache Calcite.\n\n - Developing algorithms for parsing and transpiling into SQL from an internal query language (MAQL) based on semantic data models.\n\n - Designing APIs, writing test-driven code, and shaping product direction with your team\n\n - Collaborating with Product, QA, and Architects in a product-focused engineering team\n\n\n\n\nWHAT DO WE EXPECT FROM YOU?\n\nYou have experience delivering a variety of backend features. You thrive in a dynamic, collaborative environment and enjoy taking initiative. You are proactive, open-minded, and enthusiastic about learning new technologies.\n\n\n\n\nYOU SHOULD HAVE\n\n - A robust background in computer science,\n\n - experience with object-oriented programming,\n\n - interest in clean software architecture,\n\n - a passion for solving complex algorithmic problems,\n\n - good proficiency in spoken and written English,\n\n - passion for your work, focus on technical excellence and quality of the delivered solutions,\n\n - a strong sense of ownership, while being open to constructive feedback.\n\n\n\n\nIT IS NICE IF YOU HAVE\n\n - Working knowledge of open source data technologies\n\n - Experience with DB engines and Big data\n\n - Knowledge of semantic data modelling\n\n\n\n\nABOUT GOODDATA.AI\n\nAt GoodData.AI, we’re building the future of agentic AI for data intelligence.\n\nOur full-stack data intelligence platform empowers companies to turn raw data into real business impact — from agentic AI apps to embedded analytics that scale securely and seamlessly. With GoodData.AI, organizations don’t just analyze data, they monetize it.\n\nBut what really sets GoodData.AI apart is our mission: to put intelligence wherever decisions are made. That’s why we’ve built a platform that’s AI-native, composable, and built for the way modern enterprises work.\n\n \n\n#LI-Hybrid\n\n#LI-Remote"},{"id":"ef7b46d4-f5f0-48cd-8ee1-a5d0bd5a4bf7","title":"Sales Engineer","department":"Sales","team":"Sales","employmentType":"FullTime","location":"San Francisco","secondaryLocations":[],"publishedAt":"2026-10-27T17:59:41.950+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"California","addressCountry":"USA","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/gooddata/ef7b46d4-f5f0-48cd-8ee1-a5d0bd5a4bf7","applyUrl":"https://jobs.ashbyhq.com/gooddata/ef7b46d4-f5f0-48cd-8ee1-a5d0bd5a4bf7/application","descriptionHtml":"At GoodData.AI, we're building the future of agentic AI for data intelligence.
Our full-stack data intelligence platform empowers companies to turn raw data into real business impact — from agentic AI apps to embedded analytics that scale securely and seamlessly. With GoodData.AI, organizations don't just analyze data, they monetize it.
But what really sets GoodData.AI apart is our mission: to put intelligence wherever decisions are made. That's why we've built a platform that's AI-native, composable, and built for the way modern enterprises work.
GoodData is hiring a Sales Engineer in San Francisco to win new deals and grow our US accounts. You’ll be the technical lead on our US deals. That means confidently walking into a room with a CIO, a data engineering lead, and a skeptical architect, quickly understanding your audience, and leading a conversation that moves the deal forward. You're comfortable running customer demos and technical discussions independently, navigating tough questions, and building credibility with stakeholders at every level. You don’t wait for the AE to tell you what’s next. You anticipate technical challenges, develop solutions, and proactively drive the next steps.
This is far beyond a standard demo role. You will act as a strategic technical advisor and advocate, guiding enterprise customers on how GoodData's Agentic Serving Plane—including our semantic layer, agentic AI capabilities, embedded analytics, and flexible APIs—fits seamlessly into modern data architectures.
Own the technical sales cycle
Lead technical discovery: Evaluate customer business goals, data stack, AI roadmap, integration requirements, and security criteria.
Design tailored solutions: Formulate solution architecture, data modeling strategies, and AI/agentic workflows into actionable recommendations, interactive demos, and prototypes.
Deliver technical presentations: Conduct customized product demos and deep-dive technical workshops for prospect stakeholders and executive teams.
Support GTM initiatives: Collaborate on technical outbound content, customer expansion playbooks, and workshops to drive net new acquisition and cross-sell momentum.
Drive Proofs of Concept (PoCs): Define success criteria, build PoCs, manage check-ins, and deliver final technical readouts to secure technical wins.
Partner with Account Executives: Align on deal strategy, opportunity qualification, mutual action plans, and technical validation.
Manage technical procurement: Complete RFPs/RFIs, security questionnaires, and architecture reviews in coordination with cross-functional teams.
Be GoodData's technical voice in the US
Present at conferences, meetups, partner events, and webinars; deliver talks and live demos
Represent GoodData at customer dinners, executive briefings, and booth sessions
Work with US partners in the data ecosystem (e.g. Snowflake, Databricks, cloud providers) on joint demos and co-selling.
Collaborative Spirit: Partner with US-based Account Executives, Solution Engineering, and Customer Success teams while serving as the vital technical bridge to European technical sales, engineering and product leaders.
Hybrid Work: This position is based in San Francisco, CA. Connect in-person with colleagues at our SF office 2-3 days a week, with client and event travel as deal momentum demands.
Global Collaboration: Work closely with our European teams, requiring regular early morning availability starting at 7:00 AM PT, with occasional meetings as early as 6:00 AM PT. Afternoons are generally focused on US customer discovery and strategic meetings.
Travel: Up to 20% travel within North America for high-impact on-sites, key conferences, and partner events, with occasional trips to Europe. Depending on the progress of the deals, we sometimes visit prospects at later stages of the deal or for in-person discovery sessions.
5+ years in a customer-facing technical role (Sales Engineer, Solutions Engineer, Solution Architect, Field CTO, Forward-Deployed Engineer or similar), ideally selling B2B data, analytics, AI solutions, or developer platforms to US mid-market and enterprise buyers.
A proactive, owner’s mindset: you anticipate what a deal needs next, whether that’s a prototype, an executive briefing, or a hard conversation about fit, and you drive it forward before anyone asks.
Demonstrated experience independently managing the technical aspects of complex sales opportunities, from discovery and PoC through technical validation and close.
Presence: you’re at ease running a live demo for a room or a C-level audience, handling hard questions, and steering a meeting that’s going sideways.
Solid grounding in analytics and data: SQL, dimensional modeling, semantic layers, and cloud data platforms (Snowflake, Databricks, BigQuery, Redshift, Postgres).
Hands-on building skills: you can prototype with Python, SQL, REST APIs, SDKs, and/or React/TypeScript, using AI coding tools (Claude Code, Cursor, Codex) as part of your daily work.
Practical knowledge of AI and agentic systems: LLMs, agents, MCP, RAG, tool use, evaluation, and guardrails, and the ability to tell what is real from what is hype.
Strong communication skills. You write briefs, recommendations, and handoffs that someone nine time zones away can act on without a follow-up call.
Experience with GoodData or comparable platforms (Looker, PowerBI, Sigma, etc.)
Experience selling AI, analytics, or data-related solutions to SaaS companies.
Experience building AI apps, agents, or copilots beyond a prototype
An existing network in the Bay Area data and AI community, or a history of speaking at events such as Data + AI Summit, Snowflake Summit, or local meetups.
Experience working with globally distributed engineering teams across time zones.
Cloud experience on AWS including marketplace and co-sell motions.
Early-stage experience: you have helped build a presales function in a new region or market.
Compensation: The annual base salary range is $150,000 - $170,000 plus variable incentive compensation and equity eligibility.
#LI-Hybrid
","descriptionPlain":"ABOUT GOODDATA.AI http://GoodData.AI\n\nAt GoodData.AI http://GoodData.AI, we're building the future of agentic AI for data intelligence.\n\nOur full-stack data intelligence platform empowers companies to turn raw data into real business impact — from agentic AI apps to embedded analytics that scale securely and seamlessly. With GoodData.AI http://GoodData.AI, organizations don't just analyze data, they monetize it.\n\nBut what really sets GoodData.AI http://GoodData.AI apart is our mission: to put intelligence wherever decisions are made. That's why we've built a platform that's AI-native, composable, and built for the way modern enterprises work.\n\n\n\n\nABOUT THE ROLE\n\nGoodData is hiring a Sales Engineer in San Francisco to win new deals and grow our US accounts. You’ll be the technical lead on our US deals. That means confidently walking into a room with a CIO, a data engineering lead, and a skeptical architect, quickly understanding your audience, and leading a conversation that moves the deal forward. You're comfortable running customer demos and technical discussions independently, navigating tough questions, and building credibility with stakeholders at every level. You don’t wait for the AE to tell you what’s next. You anticipate technical challenges, develop solutions, and proactively drive the next steps.\n\nThis is far beyond a standard demo role. You will act as a strategic technical advisor and advocate, guiding enterprise customers on how GoodData's Agentic Serving Plane—including our semantic layer, agentic AI capabilities, embedded analytics, and flexible APIs—fits seamlessly into modern data architectures.\n\n\n\n\nWHAT YOU'LL DO\n\nOwn the technical sales cycle\n\n - Lead technical discovery: Evaluate customer business goals, data stack, AI roadmap, integration requirements, and security criteria.\n\n - Design tailored solutions: Formulate solution architecture, data modeling strategies, and AI/agentic workflows into actionable recommendations, interactive demos, and prototypes.\n\n - Deliver technical presentations: Conduct customized product demos and deep-dive technical workshops for prospect stakeholders and executive teams.\n\n - Support GTM initiatives: Collaborate on technical outbound content, customer expansion playbooks, and workshops to drive net new acquisition and cross-sell momentum.\n\n - Drive Proofs of Concept (PoCs): Define success criteria, build PoCs, manage check-ins, and deliver final technical readouts to secure technical wins.\n\n - Partner with Account Executives: Align on deal strategy, opportunity qualification, mutual action plans, and technical validation.\n\n - Manage technical procurement: Complete RFPs/RFIs, security questionnaires, and architecture reviews in coordination with cross-functional teams.\n\nBe GoodData's technical voice in the US\n\n - Present at conferences, meetups, partner events, and webinars; deliver talks and live demos\n\n - Represent GoodData at customer dinners, executive briefings, and booth sessions\n\n - Work with US partners in the data ecosystem (e.g. Snowflake, Databricks, cloud providers) on joint demos and co-selling.\n\n\n\n\nHOW WE WORK\n\n - Collaborative Spirit: Partner with US-based Account Executives, Solution Engineering, and Customer Success teams while serving as the vital technical bridge to European technical sales, engineering and product leaders.\n\n - Hybrid Work: This position is based in San Francisco, CA. Connect in-person with colleagues at our SF office 2-3 days a week, with client and event travel as deal momentum demands.\n\n - Global Collaboration: Work closely with our European teams, requiring regular early morning availability starting at 7:00 AM PT, with occasional meetings as early as 6:00 AM PT. Afternoons are generally focused on US customer discovery and strategic meetings.\n\n - Travel: Up to 20% travel within North America for high-impact on-sites, key conferences, and partner events, with occasional trips to Europe. Depending on the progress of the deals, we sometimes visit prospects at later stages of the deal or for in-person discovery sessions.\n\n\n\n\nWHAT YOU BRING\n\n - 5+ years in a customer-facing technical role (Sales Engineer, Solutions Engineer, Solution Architect, Field CTO, Forward-Deployed Engineer or similar), ideally selling B2B data, analytics, AI solutions, or developer platforms to US mid-market and enterprise buyers.\n\n - A proactive, owner’s mindset: you anticipate what a deal needs next, whether that’s a prototype, an executive briefing, or a hard conversation about fit, and you drive it forward before anyone asks.\n\n - Demonstrated experience independently managing the technical aspects of complex sales opportunities, from discovery and PoC through technical validation and close.\n\n - Presence: you’re at ease running a live demo for a room or a C-level audience, handling hard questions, and steering a meeting that’s going sideways.\n\n - Solid grounding in analytics and data: SQL, dimensional modeling, semantic layers, and cloud data platforms (Snowflake, Databricks, BigQuery, Redshift, Postgres).\n\n - Hands-on building skills: you can prototype with Python, SQL, REST APIs, SDKs, and/or React/TypeScript, using AI coding tools (Claude Code, Cursor, Codex) as part of your daily work.\n\n - Practical knowledge of AI and agentic systems: LLMs, agents, MCP, RAG, tool use, evaluation, and guardrails, and the ability to tell what is real from what is hype.\n\n - Strong communication skills. You write briefs, recommendations, and handoffs that someone nine time zones away can act on without a follow-up call.\n\n\n\n\nNICE TO HAVE\n\n - Experience with GoodData or comparable platforms (Looker, PowerBI, Sigma, etc.)\n\n - Experience selling AI, analytics, or data-related solutions to SaaS companies.\n\n - Experience building AI apps, agents, or copilots beyond a prototype\n\n - An existing network in the Bay Area data and AI community, or a history of speaking at events such as Data + AI Summit, Snowflake Summit, or local meetups.\n\n - Experience working with globally distributed engineering teams across time zones.\n\n - Cloud experience on AWS including marketplace and co-sell motions.\n\n - Early-stage experience: you have helped build a presales function in a new region or market.\n\n\n\nCompensation: The annual base salary range is $150,000 - $170,000 plus variable incentive compensation and equity eligibility.\n\n\n\n#LI-Hybrid"},{"id":"4a144707-1029-47dd-87e1-8a9275107753","title":"Enterprise Account Executive","department":"Sales","team":"Sales","employmentType":"FullTime","location":"San Francisco","secondaryLocations":[],"publishedAt":"2026-11-02T23:01:45.749+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"California","addressCountry":"USA","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/gooddata/4a144707-1029-47dd-87e1-8a9275107753","applyUrl":"https://jobs.ashbyhq.com/gooddata/4a144707-1029-47dd-87e1-8a9275107753/application","descriptionHtml":"GoodData.AI is seeking an ambitious, results-driven Enterprise Account Executive to grow our enterprise business in the U.S. If you're passionate about data, analytics, and AI, thrive in fast-paced environments, and have a proven track record of building pipeline and closing complex enterprise deals, this is your opportunity to help organizations turn trusted data into actionable insights and intelligent decisions through agentic analytics and AI.
What You’ll Do
Drive new business by selling GoodData.AI's analytics and AI solutions to enterprise customers across the U.S.
Develop and execute sales strategy and account plans to build a strong pipeline, identify new business opportunities, and consistently achieve revenue targets.
Own the entire sales cycle, from outbound prospecting and discovery through negotiation and deal closure.
Lead discovery conversations to understand customer business challenges, identify use cases, and articulate the value of GoodData's solutions.
Build relationships with VP and C-level decision-makers and lead complex, multi-stakeholder enterprise deals through closure.
Partner closely with Solutions Engineering to lead technical evaluations, address customer requirements, and demonstrate the value of GoodData's solutions.
Collaborate with marketing, product, and customer success teams to advance sales opportunities and provide feedback from the market.
Maintain accurate pipeline data and sales forecasts, providing clear visibility into deal progression, risks, and next steps.
Consistently meet or exceed revenue goals and key performance metrics.
Collaborative Spirit: Partner with US-based Solution Engineering, Partnership, and Customer Success teams while serving as the vital technical bridge to European technical sales, engineering and product leaders.
Hybrid Work: This position is based in San Francisco, CA. Connect in-person with colleagues at our SF office 2-3 days a week, with client and event travel as deal momentum demands.
Global Collaboration: Work closely with our European teams, requiring regular early morning availability starting at 7:00 AM PT, with occasional meetings as early as 6:00 AM PT. Afternoons are generally focused on US customer discovery and strategic meetings.
Travel: Up to 20% travel within North America for high-impact on-sites, key conferences, and partner events, with occasional trips to Europe. Depending on the progress of the deals, we sometimes visit prospects at later stages of the deal or for in-person discovery sessions.
5+ years of direct B2B SaaS or enterprise software sales experience, with demonstrated success selling to enterprise customers.
Hunter mentality with a proven ability to independently generate qualified pipeline and close new business.
Experience selling complex technical products or solutions to enterprise customers, with the ability to engage confidently with technical stakeholders and communicate value to both technical and business audiences.
Comfortable selling to and building relationships with VP, SVP, and C-level executives.
Strong discovery, negotiation, and consultative selling skills, with the ability to translate customer challenges into compelling business solutions.
Ability to build long-term relationships with enterprise customers, identify new business opportunities, and uncover potential for account expansion.
Transparent and collaborative team player who proactively communicates opportunities, challenges, and blockers to support strategic decision-making.
Detail-oriented, with excellent relationship-building, organizational, and customer service skills.
Excellent written and verbal communication skills, including strong presentation skills.
Ability to work cross-culturally and cross-functionally.
Experience selling data, analytics, AI, Professional Services, or related enterprise software solutions is a plus.
At GoodData.AI, we're building the future of agentic analytics.
GoodData.AI is a leading cloud-based analytics and AI platform that empowers organizations to make data-driven decisions at scale. Our platform allows companies to seamlessly embed AI and analytics into their products, services, and workflows—delivering real-time insights for their customers exactly where they’re needed. With a robust, innovative, AI-native architecture, GoodData.AI empowers our customers to build scalable, secure, and highly customizable agentic analytics experiences.
Trusted by global enterprises and innovative SaaS companies alike, GoodData is redefining how data and AI work together to drive smarter business outcomes.
Health, Dental, and Vision Insurance
401(k) plan with company match
Paid Time Off
Paid Parental Leave
Weekly Lunch Credit
Wellness and Work from Home Stipends
On-target earnings (OTE): 200,000 - 340,000 annually, based on a 50/50 base salary and target commission structure, plus equity.
The range represents the anticipated low and high range for this position. Actual salary will vary based on geographic location, job related skills, experience, qualifications and market conditions.
#LI-Hybrid
","descriptionPlain":"ABOUT THE ROLE\n\nGoodData.AI http://GoodData.AI is seeking an ambitious, results-driven Enterprise Account Executive to grow our enterprise business in the U.S. If you're passionate about data, analytics, and AI, thrive in fast-paced environments, and have a proven track record of building pipeline and closing complex enterprise deals, this is your opportunity to help organizations turn trusted data into actionable insights and intelligent decisions through agentic analytics and AI.\n\n\n\nWhat You’ll Do\n\n - Drive new business by selling GoodData.AI http://GoodData.AI's analytics and AI solutions to enterprise customers across the U.S.\n\n - Develop and execute sales strategy and account plans to build a strong pipeline, identify new business opportunities, and consistently achieve revenue targets.\n\n - Own the entire sales cycle, from outbound prospecting and discovery through negotiation and deal closure.\n\n - Lead discovery conversations to understand customer business challenges, identify use cases, and articulate the value of GoodData's solutions.\n\n - Build relationships with VP and C-level decision-makers and lead complex, multi-stakeholder enterprise deals through closure.\n\n - Partner closely with Solutions Engineering to lead technical evaluations, address customer requirements, and demonstrate the value of GoodData's solutions.\n\n - Collaborate with marketing, product, and customer success teams to advance sales opportunities and provide feedback from the market.\n\n - Maintain accurate pipeline data and sales forecasts, providing clear visibility into deal progression, risks, and next steps.\n\n - Consistently meet or exceed revenue goals and key performance metrics.\n\n\n\n\nHOW WE WORK\n\n - Collaborative Spirit: Partner with US-based Solution Engineering, Partnership, and Customer Success teams while serving as the vital technical bridge to European technical sales, engineering and product leaders.\n\n - Hybrid Work: This position is based in San Francisco, CA. Connect in-person with colleagues at our SF office 2-3 days a week, with client and event travel as deal momentum demands.\n\n - Global Collaboration: Work closely with our European teams, requiring regular early morning availability starting at 7:00 AM PT, with occasional meetings as early as 6:00 AM PT. Afternoons are generally focused on US customer discovery and strategic meetings.\n\n - Travel: Up to 20% travel within North America for high-impact on-sites, key conferences, and partner events, with occasional trips to Europe. Depending on the progress of the deals, we sometimes visit prospects at later stages of the deal or for in-person discovery sessions.\n\n\n\n\nABOUT YOU\n\n - 5+ years of direct B2B SaaS or enterprise software sales experience, with demonstrated success selling to enterprise customers.\n\n - Hunter mentality with a proven ability to independently generate qualified pipeline and close new business.\n\n - Experience selling complex technical products or solutions to enterprise customers, with the ability to engage confidently with technical stakeholders and communicate value to both technical and business audiences.\n\n - Comfortable selling to and building relationships with VP, SVP, and C-level executives.\n\n - Strong discovery, negotiation, and consultative selling skills, with the ability to translate customer challenges into compelling business solutions.\n\n - Ability to build long-term relationships with enterprise customers, identify new business opportunities, and uncover potential for account expansion.\n\n - Transparent and collaborative team player who proactively communicates opportunities, challenges, and blockers to support strategic decision-making.\n\n - Detail-oriented, with excellent relationship-building, organizational, and customer service skills.\n\n - Excellent written and verbal communication skills, including strong presentation skills.\n\n - Ability to work cross-culturally and cross-functionally.\n\n - Experience selling data, analytics, AI, Professional Services, or related enterprise software solutions is a plus.\n\n\n\n\nABOUT GOODDATA.AI http://GoodData.AI\n\nAt GoodData.AI http://GoodData.AI, we're building the future of agentic analytics.\n\nGoodData.AI http://GoodData.AI is a leading cloud-based analytics and AI platform that empowers organizations to make data-driven decisions at scale. Our platform allows companies to seamlessly embed AI and analytics into their products, services, and workflows—delivering real-time insights for their customers exactly where they’re needed. With a robust, innovative, AI-native architecture, GoodData.AI http://GoodData.AI empowers our customers to build scalable, secure, and highly customizable agentic analytics experiences.\n\nTrusted by global enterprises and innovative SaaS companies alike, GoodData is redefining how data and AI work together to drive smarter business outcomes.\n\n\n\n\nCOMPENSATION & BENEFITS\n\n - Health, Dental, and Vision Insurance\n\n - 401(k) plan with company match\n\n - Paid Time Off\n\n - Paid Parental Leave\n\n - Weekly Lunch Credit\n\n - Wellness and Work from Home Stipends\n\nOn-target earnings (OTE): 200,000 - 340,000 annually, based on a 50/50 base salary and target commission structure, plus equity.\n\nThe range represents the anticipated low and high range for this position. Actual salary will vary based on geographic location, job related skills, experience, qualifications and market conditions.\n\n\n\n#LI-Hybrid"}],"apiVersion":"1"}