Jobs at Aiven

Drive new customer acquisition and close full sales cycle for North American customers (<$250M ARR), convert PLG/trial signals into revenue, generate pipeline via outbound and marketing, qualify opportunities using MEDDPICC, engage technical decision-makers, conduct demos, and meet defined quota metrics (10 new logos, $300K ARR).

Own technical strategy for Aiven’s OEM partnerships, leading pre-sales evaluations, proofs of concept, architecture design, integrations, partner enablement, and production growth. Design scalable cloud and data-platform architectures, guide API, SDK, Terraform, and infrastructure integrations, run training, resolve cross-team technical issues, and convert partner feedback into product improvements. Use AI tools and agents to accelerate analysis, documentation, deployments, and operational processes.

Own Aiven’s internal application engineering system, shared foundations, and central hiring and credential-gateway applications. Build and operate production software across application code, infrastructure, security, deployment, and reliability. Establish architectural standards, enable business teams and AI coding agents to build safely, and influence technical direction across the company. The role is based in Helsinki with hybrid office work.

Owns a $4M+ ARR book of UKI enterprise customers, retaining and expanding revenue through renewals, cross-sell, upsell, and churn prevention. Builds account plans, manages executive and technical relationships, negotiates contracts, and develops customer advocacy. Also sources and closes new-logo opportunities. Uses AI agents for research, monitoring, outreach, forecasting, and workflow optimization while maintaining Salesforce accuracy and collaborating with technical, product, marketing, and leadership teams.

Own global sales compensation across SMB, mid-market, enterprise, solutions engineering, ISR, and partnerships. Design and govern incentive plans, quotas, crediting rules, commissions, reconciliations, payouts, reporting, and policies. Partner with Finance, RevOps, Payroll, Legal, and Sales leadership while maintaining controls and audit readiness. Build AI-assisted workflows for modeling, anomaly detection, documentation, dispute handling, and reporting, with human review for all payment and policy decisions.

Own post-onboarding success for an AMER portfolio of OEM partners. Lead QBRs, create joint success plans, coordinate service launches, monitor partner health, deliver sales enablement, and represent partner needs internally. Collaborate with Engineering, Presales, and Marketing to increase adoption, satisfaction, and growth. Build reusable AI-assisted workflows for reporting, communications, launch coordination, and recurring partner-success activities.

Owns the company-wide IAM program, including employee and machine identity lifecycles, Okta administration, access governance, application provisioning, cloud IAM, automation, and audit evidence. The role builds Okta Workflows and self-service access processes, integrates SaaS and cloud platforms, governs service accounts and AI agents, automates repetitive tasks, and partners with Engineering, IT, People Operations, Security Operations, and Compliance.

Develop and maintain scalable, reliable PostgreSQL cloud services within a cloud operations platform. Responsibilities include writing production-quality code, reviewing pull requests, planning technical work, resolving customer issues, automating repetitive processes, improving database performance and reliability, and mentoring engineers. The role requires strong Python development, database expertise, Linux knowledge, backup strategy experience, automated testing, distributed systems understanding, and security vulnerability resolution experience.

Drive new-logo acquisition and strategic account growth among Bay Area AI-native companies. Build a territory from the ground up, engage technical and executive stakeholders, sell usage-based data infrastructure, convert usage into committed contracts, and manage complex sales cycles using MEDDPICC and Challenger methodologies. Partner with cloud providers, solution architects, marketing, and startup ecosystems while maintaining accurate forecasts and providing market feedback.

Build and ship AI and agentic products end to end, including backend services, agent runtimes, LLM integrations, and React-based product experiences. Write maintainable code, contribute to technical planning, resolve customer issues, create automated tests, and mentor engineers. The role requires deep practical use of AI agents, including custom MCP servers, tools, skills, and automated workflows, with opportunities to work on distributed systems.

Build and lead an internal developer experience team focused on improving how engineers develop, test, and ship software. Own CI/CD pipelines, create developer tooling, establish organization-wide engineering defaults, improve development environments, and manage cloud infrastructure. Collaborate with engineering teams to identify and solve productivity problems while promoting safe development practices for humans and AI agents.

Drive full-cycle B2B SaaS sales across an assigned EMEA territory, generating pipeline, acquiring new technology-company customers, and expanding usage. Responsibilities include prospecting, account research, executive engagement, solution selling, MEDDPICC qualification, forecasting, negotiation, and closing. The role requires collaboration with solution architects, customer success, product, and engineering teams, territory planning, event participation, and expertise in cloud data infrastructure and open-source technologies.

Own success, adoption, satisfaction, and growth for Aiven’s EMEA OEM partners after onboarding. Lead QBRs, create joint success plans, coordinate launches of new services, track partner health, manage escalations, and represent partner needs internally while collaborating with Engineering, Presales, and Marketing.

Manages enterprise customer relationships and serves as a technical advocate for cloud and open-source database deployments. Develops technical strategies, advises on operations and risk, conducts incident and root-cause reviews, coordinates with internal teams, and supports sales planning. Requires expertise in Apache Kafka and related databases, cloud infrastructure, Linux, networking, programming, and technical consulting. Travel is required up to 10%.

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 run a reusable internal automation platform (starting in Finance). Design observable, versioned production workflows, integrate systems (NetSuite, billing, payments), implement human-in-the-loop and autonomous agent flows, and partner with platform owners to scale automation across the company.

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.