
GoodData
San Francisco, CA
AI-native decision intelligence platform for enterprises
About
GoodData builds a full-stack, composable analytics platform with AI agents, embedded BI, and governed semantics. It serves enterprises needing trusted, scalable data insights across industries like fintech, healthcare, and retail. This enables fast deployment of AI-driven decisions while ensuring security, compliance, and performance at scale.
Tech stack
Kotlin, Python, Kubernetes, Apache Calcite, Apache Arrow, DuckDB, SQL, Looker
Perks & benefits
Unlimited PTO, 401k match, Health insurance, Equity, Performance bonus, Mental health support, Home office stipend, Gym membership, Hybrid work
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Open jobs
7Senior backend engineer building a distributed query engine and data-processing services in Kotlin. The role requires backend development, algorithmic problem solving, API design, test-driven coding, and collaboration across Product, QA, and Architecture.
Senior backend engineer developing Kotlin/Java services and APIs for a distributed analytics platform. The role emphasizes scalable systems, automated testing, CI/CD ownership, security hardening, and AI-assisted developer tooling.
Leads customer implementations of scalable BI and AI-powered analytics solutions on the GoodData platform. The role translates requirements into data models, ETL pipelines, dashboards, and LLM-enabled workflows while coordinating technical teams and advising customers.
Build backend infrastructure for GoodData.AI’s composable, AI-driven analytics platform, developing scalable microservices and distributed data-processing systems. The role requires strong computer science and object-oriented programming experience, with Python or Kotlin expertise and Apache Arrow knowledge as advantages.
Own the full enterprise sales cycle for AI-powered analytics, from new-business prospecting through contract close, renewals, and account expansion. The role requires senior B2B/SaaS sales experience, executive-level communication, and the ability to navigate complex multi-stakeholder buying processes.
Build and productionize agentic AI systems for a cloud-based analytics platform, including routers, tool-calling agents, RAG pipelines, evaluation, and observability. The role requires strong Python and microservices experience plus familiarity with cloud, Kubernetes, and distributed architectures.
The Cloud Solution Engineer integrates, operates, and optimizes cloud-native platforms for customers while contributing to SaaS infrastructure. The role requires hands-on Kubernetes and AWS/Azure experience, Infrastructure as Code skills, strong communication, and at least two years operating production environments.