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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.

The Principal Product Marketing Manager will lead go-to-market strategies for a Business Intelligence platform, focusing on new customer acquisition and retention for databases, while contributing to AI narratives and cross-sell expansion.

The Senior Revenue Enablement Program Manager will drive global sales enablement programs, develop training content, and enhance field performance through strategy execution and measurement.

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.

The Sales Engineer supports sales efforts by providing pre-sales support, technical guidance, and customer interaction while focusing on data governance and analytics solutions.

As a DevOps Engineer at Actian, responsibilities include administering Linux and Windows systems, maintaining operational compliance, and developing automation using Ansible while supporting audit activities and improving infrastructure.

The Sales Engineer collaborates with sales to provide pre-sales support in selling database and analytics solutions, engaging in customer needs analysis, product demonstrations, and proof-of-concept execution while maintaining relationships and advocating for customers.

Lead go-to-market for Actian's vector, embedded edge, and multi-model databases across net-new acquisition and cross-sell. Own positioning, monthly launches, field enablement, MOFU/BOFU content, and global event/analyst/PR enablement. Coordinate across product, web, design, sales enablement and demand generation to drive pipeline and expansion.

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.

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.