Actian

365 Total Employees
Year Founded: 2005

Jobs at Actian

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Recently posted jobs

2 Days AgoSaved
In-Office or Remote
28 Locations
Cloud • Software • Database • Analytics
The Head of Data Intelligence Products will define and execute product strategy, lead a global team, oversee AI developments, and engage CDOs to modernize data management.
2 Days AgoSaved
In-Office or Remote
28 Locations
Cloud • Software • Database • Analytics
Lead and inspire a team of engineers to build data solutions, drive technical excellence, foster innovation, and ensure alignment with product vision.
6 Days AgoSaved
In-Office or Remote
28 Locations
Cloud • Software • Database • Analytics
Lead the Sustaining Engineering Team by managing escalated technical issues, guiding a rotating squad of engineers, and ensuring rapid resolution of critical incidents.
Cloud • Software • Database • Analytics
Lead the development of Smart Data Products within Actian's ecosystem, managing all stages of the product lifecycle and collaborating with cross-functional teams to drive innovation and adoption.
25 Days AgoSaved
Remote
27 Locations
Cloud • Software • Database • Analytics
Hands-on Tech Lead who writes and reviews production backend code, architects cloud-native SaaS systems, mentors a 3–4 engineer feature team, leverages AI coding agents to increase velocity, ensures multi-tenant scalability and production health, and partners with Product to deliver user-focused features.
25 Days AgoSaved
Remote
27 Locations
Cloud • Software • Database • Analytics
Lead and architect end-to-end QA automation for a distributed data SaaS platform: build scalable frameworks, embed tests in CI/CD, drive integration/API/performance/data-integrity testing, eradicate flaky tests, mentor engineers, own release quality sign-off, collaborate across product and engineering, and apply AI tools to accelerate testing and optimize QA metrics.
25 Days AgoSaved
In-Office or Remote
28 Locations
Cloud • Software • Database • Analytics
Own and scale AI enablement: build core orchestration, LLMOps/MLOps platforms and governance, integrate generative AI into product, optimize cost/latency, run PoC-to-production delivery, upskill teams, standardize tooling and vendor strategy, and track adoption/ROI metrics.