Jobs at Aiven

Build and maintain Kafka ecosystem features across async Python backends, Karapace open-source components, APIs, connectors, and React/TypeScript interfaces. Responsibilities include schema compatibility, Kafka Connect ecosystem maintenance, code reviews, testing, CI/CD, production troubleshooting, technical planning, and end-to-end feature ownership. The role requires distributed systems knowledge, Linux debugging, schema evolution expertise, and daily use of AI coding tools.

Own full-stack development across Python backend services and the React-based Aiven Console. Lead architecture and delivery of managed open-source data products, build AI-driven data discovery and context workflows, contribute to upstream OSS projects, mentor engineers, and shape technical direction across teams.

Own the architecture and operation of Aiven’s managed ClickHouse platform. Design database internals, backup and restore, cluster coordination, sharding, node lifecycle, streaming ingestion, CDC, and data engineering tooling. Diagnose distributed production issues, manage ClickHouse releases, improve observability and reliability, author RFCs, influence roadmap and commercial decisions, and mentor engineers. The role requires deep Python, C++, ClickHouse, database internals, distributed systems, cloud, Linux, and data engineering expertise.

Partner with hiring managers to attract and hire global go-to-market talent for a fast-paced technology company. Responsibilities include developing talent pipelines, sourcing passive candidates, understanding local markets and cultural differences, managing the full recruitment lifecycle, advising on job descriptions, delivering strong candidate experiences, and negotiating and closing offers.

Develop and maintain scalable, reliable database services for strategic partners across PostgreSQL, MySQL, and Valkey. Design customer-specific solutions, automate manual processes, improve operational quality, investigate customer issues, participate in planning and code reviews, and mentor engineers. The role requires strong Python development, database expertise, Linux knowledge, backup strategies, automated testing, distributed systems understanding, performance optimization, and experience resolving bugs and security vulnerabilities.

Leads Aiven’s global revenue marketing engine across demand generation, PLG and SLG motions, integrated campaigns, ABM, field marketing, attribution, and pipeline optimization. Partners with Sales, Product Marketing, Growth, Content, and Community teams to accelerate acquisition, deal velocity, win rates, and customer expansion. Owns the marketing budget, revenue reporting, ROI, and development of a high-performing marketing team.

Lead pre-sales and post-sales technical engagements to help customers adopt Aiven's managed open-source services. Conduct proofs-of-concept, ensure customer stability and enablement, support sales processes, create technical content (blogs, webinars, talks), and travel up to 20% to build and maintain customer relationships.

Lead a Sales Operations team within RevOps to own forecasting, pipeline health, territory and quota planning, and automated self-service intelligence. Build LLM-based automations and agentic workflows on Salesforce, partner with regional Sales VPs and Finance, and coach a small distributed team to replace manual requests with automated insights.

Serve as a strategic HR partner to C-suite and VP leaders: co-create people strategy, drive talent density, succession planning, manager accountability, levelling and total rewards alignment, workforce planning, mentor PBPs, and influence company-wide People priorities.

Develop and execute go-to-market strategy for AI products: define positioning and messaging, conduct market and competitive analysis, enable sales, coordinate launches, gather customer insights, and measure product performance.

Build and operate backend services in Python to manage ClickHouse lifecycle, maintain CI/CD pipelines, investigate production issues down to Linux internals, write type-checked async code, participate in planning and code reviews, and use AI-assisted development to accelerate delivery.

Own full-cycle enterprise sales in the UKI: generate 100% self-sourced pipeline, qualify and close new logos using MEDDPICC and Challenger methodologies, engage Director/VP technical stakeholders, collaborate with Solutions and Customer Success for POCs and onboarding, and meet quota metrics (6 new logos/year, $150K average ARR).

This role involves developing customer relationships, providing technical strategy, performing operational reviews, advocating for customer interests, and collaborating with sales teams.

Work as a full-stack engineer on Aiven Apps: design and implement features, RESTful APIs, iterate console UX, own end-to-end delivery, maintain technical foundations, and mentor the team.

Own and scale OEM and strategic technology partnerships across AMER to drive partner-sourced and partner-influenced ARR. Build partner programs, recruit partners, negotiate OEM/ISV agreements, coordinate sales, marketing, engineering, and product to execute joint GTM, and demonstrate quantified revenue growth and partner-influenced pipeline.

Own go-to-market for Aivens core open-source products: develop positioning and competitive messaging for technical buyers, produce sales enablement content, run competitive intelligence and webinars, plan product launches, and align with DevRel, demand gen, and sales to convert developer adoption into enterprise deals.

Own and optimize the end-to-end self-serve user lifecycle from sign-up to activation, conversion, retention, and expansion. Design nurture programs, in-product messaging, segmentation frameworks, and monetization interventions. Partner with Product and Data to define activation/health signals, build automated responses, and report on activation, conversion, expansion, and churn metrics.

Build and maintain managed open-source data services (e.g., DataHub) on Aiven. Work full-stack (Python backend and React/TypeScript frontend), upstream OSS contributions, and design production-ready AI pipelines (synthetic metadata, text-to-SQL, automated discovery) to create a unified context layer for data platforms.

Develop and maintain managed PostgreSQL and analytics services: write production-quality Python code, optimize OLTP and OLAP performance, build ETL and data pipelines, automate operations, improve scalability and reliability, troubleshoot customer issues, conduct PR reviews, and mentor engineers.

Develop and maintain automation and operational tooling for PostgreSQL, MySQL and Valkey services. Write high-quality Python code, participate in design and PR reviews, troubleshoot customer incidents, improve scalability, reliability, backups, performance, security fixes, and mentor other engineers.