Jobs at Actian

Build and ship full-stack features for a data intelligence SaaS platform, spanning backend services and frontend interfaces. Use AI coding assistants to accelerate development while applying sound engineering judgment. Participate in architecture discussions, code reviews, testing, incident response, troubleshooting, documentation, and knowledge sharing. Partner with product managers to translate requirements into technical solutions. The role emphasizes SaaS architecture, AWS cloud fundamentals, Docker, Kubernetes, CI/CD, agile delivery, autonomy, and production ownership.

The Senior Infrastructure Engineer manages hybrid infrastructure, ensuring reliability, performance, and security of systems, networks, and cloud services while supporting on-premises and global office deployments.

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.

Design and evolve a scalable, multi-tenant cloud data platform prioritizing stability, fault tolerance, cost efficiency, developer productivity, and security-by-design. Define architecture standards, review designs, modernize legacy components incrementally, implement monitoring and observability, prototype new technologies, and provide technical guidance so teams can ship reliably and quickly.

Serve as the technical SME for Vector AI databases, supporting sales with architecture, demos, POCs, competitive analysis, and mentoring SEs. Map customer AI/ML needs to Actian solutions and collaborate with sales, product, engineering, and customer success to close enterprise deals.

Field sales role responsible for achieving revenue targets across the Southeast. Build strategic account plans, cultivate C‑level relationships, prospect and expand pipeline, map customer needs to Actian solutions, collaborate with partners and product/marketing teams, and meet quota and customer satisfaction goals.

Prospect and qualify new business for mid-market and enterprise accounts using sales and analytics tools. Conduct multi-channel outreach, build relationships with decision-makers, document activity in Salesforce, and create qualified meetings/opportunities to meet territory quotas. Collaborate with AEs, engineers, and customer success while continually learning sales methodologies and tools.

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.

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.

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.

Lead and inspire a team of engineers to build data solutions, drive technical excellence, foster innovation, and ensure alignment with product vision.