Actian

The Actian Data Platform unifies siloed data sources, delivers powerful data governance and catalog capabilities, and supports a wide range of real-time analytics workloads—all at a fraction of the cost of traditional platforms. Whether customers are managing data across on-prem, cloud, or hybrid environments, we empower them to securely discover, catalog, govern, and operationalize data at scale. With a commitment to trust, performance, and agility, Actian serves 24 of the Fortune 100 companies and supports some of the world’s most mission-critical systems—from financial transactions to healthcare services. Our platform enables data to become a strategic advantage, helping businesses across the US and beyond make faster, smarter, and more confident decisions. We are looking for an Enterprise Sales Director to create, expand, and retain revenue for Actian’s multiple product lines. Key Responsibilities: Field Sales and individual contributor role responsible for achieving revenue goals. Work as part of a Regional Team to successfully support and blanket the current customer install base, as well as penetrate new accounts. Develop and execute strategic sales plans to meet and exceed sales targets within assigned territories or verticals. Develop Customer Account Plans including history, architecture, Org Chart, Requirements, Use Cases, Current State/Desired State, pains, etc. Map requirements to Actian’s technology and build value proposition and ROI. Cultivate and maintain executive level relationships in various Lines of Business with focus on strategic relationships. Meet and/or exceed sales quota and customer satisfaction metrics. Undertake direct prospecting activities to target enterprises: follow up on leads generated from marketing campaigns and leverage personal network/relationships. Develop a strong pipeline of deals through direct customer relationships, exhaustive prospecting, collaboration, targeted marketing campaigns, attending/hosting customer events and variety of other field activities. Assist in leveraging new alliances and OEM and VAR relationships with target companies. Promote Actian products with End Users, SI, BI and ISV partner communities and by acting as an ambassador for the company. Stay up on industry trends, market conditions, and competitive activities to identify opportunities for growth. Collaborate closely with the marketing and product teams to provide market feedback and contribute to product development based on client needs. Essential Qualifications: 7+ years Field sales and/or account management experience in Data Platform Management, Integration/CDC, Analytics, Database and/or Cloud Experience with large Relational Database Management System(RDBMS) Experience with Object-Oriented Database Management System (OODBMS) Experience with Edge Databases. Demonstrable experience in high-tech enterprise software sales Demonstrated history of prior sales success including but not limited to: Quarterly/Annual Quota Achievement; Presidents Club attainment; OTE Overachievement Proven ability to engage, negotiate and win new relationships at CXO level in our targeted markets. Ability to provide forecast accuracy and deliver ‘closest to the pin’ results. Previous knowledge of SaaS, Cloud, Analytics, Database and ETL technologies Proven track record in selling & positioning IT solutions. Proficient in Microsoft Office & Sales Automation Tools (Salesforce.com) Minimum bachelor’s degree from a leading university or equivalent experience Very strong written & verbal communication skills Ability to speak and present to large business audiences at conferences & industry forums. Team player with a positive attitude and good customer service skills High levels of self-motivation, adaptability, ease of handling multiple responsibilities and able to work on own with minimal supervision Able to meet team objectives. Compensation Additional Information

About Actian : Data at the Core, Innovation by Nature Actian is more than just a data management company; we are the architects of data intelligence for a hybrid, cloud-centric world. As a recognized global leader in hybrid data management and high-performance cloud warehousing, our platforms are the backbone for mission-critical operations at world-class organizations including Bloomberg, Intuit, Lufthansa, and Citibank . We empower these enterprises to solve the most complex data challenges on the planet, driving real-time decision-making at massive scale. We aren't just scaling; we are fundamentally re-architecting how we build software by moving into Agentic AI-driven engineering. Reporting directly to the VP of Engineering, you will lead a high-seniority team of 12, bridging the gap between high-level organizational strategy (Team Topologies) and hands-on AI integration within our SDLC. We offer a dynamic, challenging environment where your strategic leadership will directly influence the implementation and success of this AI-first data intelligence future. Organizational Strategy & Design Team Topologies: Expert-level implementation of Stream-aligned, Platform, and Enabling team structures. Scaling & R&D Architecture: Designing high-growth engineering orgs with a focus on flow and cognitive load management. Data-Driven Leadership: Utilizing health metrics and efficiency benchmarks to proactively resolve bottlenecks. AI & Technical Governance AI-Driven Engineering: Practical integration of LLMs and Agentic workflows into the SDLC (automated coding, testing, and incident response). Hands-on Technical Leadership: Strong architectural oversight and design review experience. Core Stack Expertise: Deep proficiency in Java. Infrastructure Scalability: Experience with global, high-availability data platforms. Operational Excellence Process Engineering: Designing AI-augmented onboarding, deployment pipelines, and feedback loops. Product/UX Partnership: Translating complex roadmaps into technical requirements and high-value execution. People & Culture Career Frameworks: Building seniority levels, internal mobility, and growth tracks. Leadership Mentorship: Coaching Team Leads and identifying high-potential (HiPo) talent. Managerial Culture: Promoting a "Radical Candor" environment and structured knowledge sharing (Guilds/Tech Talks). Required Experience & Skills: Engineering Roots: 7–10+ years in high-growth SaaS; deep technical acumen (Data Platform experience preferred). Scale-up Leadership: Proven track record of building and rapidly scaling R&D teams. AI Enabler: Practical interest or experience in Agentic AI systems to drive team-wide adoption. Org Design Mastery: Expert grasp of Team Topologies, flow optimization, and architectural alignment. Modern Management: Fluent in human-centric frameworks like Management 3.0. Soft Skills Strategic & Hands-on: Ability to synthesize high-level strategy into daily operational execution. Autonomous Ownership: Self-starter with a strong bias for action and a track record of driving complex initiatives to completion. Influential Communicator: Exceptional skill in aligning stakeholders across Product, Design, and Executive leadership. What We Offer: The chance to be part of an innovative, fast-growing company making a significant impact in the data management space. Collaboration with a passionate and diverse team. Competitive salary and benefits package. Flexible work arrangements (remote or hybrid). Opportunities for professional growth and development. Compensation Additional Information Why Join Us? At Actian, we are passionate about innovation and teamwork. This role is perfect for someone who thrives in a dynamic environment, loves creating an efficient and welcoming workspace, and enjoys working closely with a talented team. Interested? We’d love to hear from you! Let’s discuss how you can contribute to our success while growing your career with us. We value diversity at our company. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or any other applicable legally protected characteristics in the location in which the candidate is applying.

The QA Automation Team is the ultimate guardian of our platform’s reliability, scalability, and deployment velocity. In a complex, data-heavy ecosystem, manual testing is a bottleneck; continuous, intelligent, and bulletproof automation is the only way forward. We are looking for a QA Automation Lead who will architect, scale, and own our automated testing strategy end-to-end. You are not a passive test-case writer or a mere script executor; you are a highly technical, proactive engineer who thrives on breaking complex distributed systems, designing robust testing frameworks, and enforcing a culture of absolute quality. You will lead a dedicated team of automation engineers, embed quality gates directly into our CI/CD pipelines, and use data-driven metrics to eliminate regressions before they ever reach production. Core Responsibilities: End-to-End Testing Infrastructure: Design, scale, and maintain robust automation frameworks capable of testing the complex SaaS and distributed data architectures of the Actian Data Intelligence Platform. Pipeline Integration: Embed automated test suites seamlessly into the CI/CD pipeline (GitHub Actions/Jenkins) to achieve true continuous integration and rapid feedback loops. Advanced Testing Topologies: Move beyond basic UI testing. Drive deep integration, API, performance, resilience, and data-integrity automation across the entire product stack. Technical Anchor: Act as the ultimate technical authority for the QA automation squad, establishing clean code standards for test scripts, conducting rigorous code reviews, and minimizing framework technical debt. Upskilling & Accountability: Coach junior automation engineers and guide functional QA testers in transitioning toward automated practices, ensuring everyone owns their automation targets. Resource Optimization: Allocate engineering capacity effectively across feature testing, framework enhancement, and technical debt reduction. Release Gatekeeper: Own the final quality sign-off for platform releases. Have the technical authority and conviction to halt deployments if quality thresholds are not met. Cross-Functional Bridge: Collaborate closely with Product Management, Core Engineering, and DevOps to understand new features early, mapping out automation strategies before the code is written. Defect Triage Collaboration: Partner with the Sustaining Engineering team to analyze production leaks, quickly writing automated tests to reproduce bugs and guarantee they never regress. Flakiness Eradication: Treat flaky tests as a critical system anomaly. Track, isolate, and eliminate them to maintain absolute trust in the automation suite. Actionable ROI: Track and report on key QA operational metrics (Test Coverage, Automation Pass Rates, Execution Time, and Defect Leakage Rate) to optimize delivery speed. AI-Driven Testing: Pioneer the usage of modern AI tools to accelerate test case generation, optimize test suites, and intelligently predict defect hot-spots. Qualifications & Profile: Technical Background: Strong background as a Senior SDET (Software Development Engineer in Test) or QA Automation Lead, with proven experience testing complex enterprise SaaS, distributed systems, big data engines, or data platforms. Automation Mastery: Deep expertise in coding languages (Java, Python, or Go) and modern testing frameworks (e.g., Playwright, Cypress, Selenium, or custom-built frameworks). Exceptional SQL skills and API testing expertise are mandatory. Extreme Ownership: Exceptional proactive behavior. You do not wait for code to be delivered to think about testing. You anticipate regressions, challenge architectural assumptions, and aggressively push for built-in quality. CI/CD & Infrastructure Savvy: Hands-on experience with Docker, Kubernetes, cloud platforms (AWS/Azure/GCP), and version control workflows (GitHub). You understand how infrastructure impacts application stability. AI & Innovation Adaptability: Savvy on using AI assistants and generative AI tools to write smarter test suites, mock data, and analyze test failures efficiently. Communication: Exceptional verbal and written English communication skills. Ability to stand your ground on quality metrics while maintaining collaborative alignment with engineering leadership. What We Offer: The chance to be part of an innovative, fast-growing company making a significant impact in the data management space. Collaboration with a passionate and diverse team. Competitive salary and benefits package. Flexible work arrangements (remote or hybrid). Opportunities for professional growth and development. Why Join Us? At Actian, we are passionate about innovation and teamwork. This role is perfect for someone who thrives in a dynamic environment, loves creating an efficient and welcoming workspace, and enjoys working closely with a talented team. Interested? We’d love to hear from you! Let’s discuss how you can contribute to our success while growing your career with us. We value dive

The AI Enablement Team is the catalyst for internal transformation and product acceleration across Actian . In the modern data landscape, AI is not a siloed experimental lab; it is a core capability that must be embedded into our product DNA and our engineering workflows. We are looking for an AI Enablement Lead who will architect, scale, and own our AI enablement strategy end-to-end. You are not a theoretical researcher or a passive prompt engineer; you are a highly practical, technical driver who builds the foundational platforms, tooling, and frameworks that allow other product and engineering teams to deploy AI safely, rapidly, and at scale. You will democratize AI across the organization, establish modern LLMOps/MLOps practices, and directly impact the Actian Data Intelligence Platform by introducing agentic workflows, intelligent data pipelines, and cutting-edge capabilities. Core Responsibilities: Internal AI tooling: Design and maintain the core AI orchestration layers, centralized API gateways, and reusable frameworks (e.g., advanced RAG architectures, agentic frameworks) for company-wide consumption. Product AI Integration: Collaborate directly with core engineering teams to embed production-ready generative AI and machine learning features into the Actian Data Intelligence Platform. LLMOps & Governance Infrastructure: Establish strict guardrails, evaluation frameworks, and monitoring tools to track model performance, bias, data privacy, and security across all AI implementations. Cost & Latency Optimization: Actively monitor and manage cloud and API compute spend (token management, open-source vs. commercial models) and optimize execution latency for production AI features. Cross-Functional Upskilling: Lead workshops, design blueprints, and create documentation to empower non-AI engineering teams to build and maintain their own AI-driven features confidently. Rapid Prototyping (PoC to Production): Drive the engineering execution of high-impact AI proof-of-concepts, ensuring they are built with production-grade code that scales seamlessly. Standardization of Tooling: Define and enforce the organization's official AI stack, from vector database selection and vector embeddings strategies to semantic caching mechanisms. Vendor & Open-Source Strategy: Evaluate and manage partnerships with AI model providers and lead the technical assessment of cutting-edge open-source models to keep Actian at the vanguard of innovation. Data-Driven Impact Tracking: Define and track operational metrics for the AI Enablement function, such as developer adoption rates, reduction in time-to-market for AI features, and ROI of implemented AI tools. Qualifications & Profile: Technical Background: Strong background as a Senior AI/ML Engineer, LLMOps Engineer, or Software Architect who has successfully built and scaled AI-powered applications in enterprise SaaS or complex data platforms. AI & Engineering Mastery: Deep technical expertise in Python or Go, semantic search, vector databases (e.g., Pinecone, Milvus, pgvector), orchestration frameworks (LangChain, LlamaIndex), and fine-tuning or prompt engineering of state-of-the-art Large Language Models (LLMs). Extreme Ownership: High-agency mindset. You don’t wait for product teams to ask for AI capabilities; you proactively build the frameworks that solve their bottlenecks before they even identify them. Software Engineering Rigor: You treat AI development as software engineering. You understand CI/CD, unit testing for AI (evaluation datasets), containerization (Docker/Kubernetes), and clean code architecture. Influence Without Authority: Exceptional leadership and communication skills. You can inspire and align disparate engineering teams around a shared technical vision without being their direct line manager. Communication: Exceptional verbal and written English communication skills. Ability to demystify complex AI anomalies or architectures into clear business value for internal stakeholders and executives. What We Offer: The chance to be part of an innovative, fast-growing company making a significant impact in the data management space. Collaboration with a passionate and diverse team. Competitive salary and benefits package. Flexible work arrangements (remote or hybrid). Opportunities for professional growth and development. Why Join Us? At Actian, we are passionate about innovation and teamwork. This role is perfect for someone who thrives in a dynamic environment, loves creating an efficient and welcoming workspace, and enjoys working closely with a talented team. Interested? We’d love to hear from you! Let’s discuss how you can contribute to our success while growing your career with us. We value diversity at our company. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or any other applicable legally protected characteristics in the location in which

Actian is the company behind the Data Intelligence Platform — an enterprise solution that helps organisations discover, govern, and trust their data at scale. Our platform connects metadata, data lineage, data quality, and business context into a single knowledge graph, enabling enterprises to turn raw data into reliable decisions. We operate globally, move fast, and build for the long term. Software engineering is being redefined. The engineers who will shape the next decade of product development are not the ones who write the most code — they are the ones who know how to think clearly, ship confidently, and use every tool available to them, including AI, to multiply their impact. We are looking for an AI-First Software Engineer who is a builder by instinct. You are comfortable picking up a feature end-to-end, making architectural decisions, writing production-grade code, and shipping without waiting to be told what to do next. You treat AI coding assistants not as a novelty but as a core part of your workflow, using them to accelerate development, reduce boilerplate, explore solutions faster, and stay focused on what actually requires your judgment. You will join one of our feature teams working on the Actian Data Intelligence Platform. What You Will Do Design and implement new features across the full stack of the Actian Data Intelligence Platform, from backend services to frontend interfaces, with a focus on correctness, performance, and maintainability. Use AI tools actively and deliberately, not as a replacement for engineering judgment, but as a force multiplier that lets you move faster, focus on high performance solutions, write better tests, and spend more time on the problems that matter. Contribute to technical design sessions and code reviews, bringing a security-first mindset and a bias toward clean, testable architecture. Participate in incident response and production troubleshooting, treating stability as a shared responsibility. Share knowledge across the team through technical sessions, documentation, building internal and contribute with AI assisted development best practices. Strong product mindset, you team with product managers to understand requirements early and translate them into well-scoped technical solutions. What You Bring A proven track record of using AI coding assistants — tools like Claude Code or Cursor — and the discipline to know when they help and when they mislead. Experience developing features for data governance, data catalogs or metadata management platforms in production is a big plus. Proven experience as a fullstack engineer building and shipping features in production SaaS environments. You have end-to-end ownership in your track record, not just task execution. Strong practical knowledge of our core stack is a big plus: Scala or Java on the backend, TypeScript and Angular on the frontend. You do not need to be expert in all of them, but you need to be honest about where you are strong and genuinely willing to grow in the others. Solid understanding of SaaS architecture and cloud fundamentals, particularly on AWS. Comfortable with Docker, Kubernetes, GitHub workflows, and CI/CD pipelines. A genuine agile mindset — not a process checkbox, but an actual preference for short feedback loops, iterative delivery, and collaborative problem-solving. Full professional proficiency in English. What We Value We value autonomy over process, outcomes over activity, and builders over theorists. If you need to be assigned every task, this is the wrong environment. If you thrive when given a problem, a team, and the space to figure it out — you will fit right in. What We Offer: The chance to be part of an innovative, fast-growing company making a significant impact in the data management space. Collaboration with a passionate and diverse team. Competitive salary and benefits package. Flexible work arrangements (remote or hybrid). Opportunities for professional growth and development. Why Join Us? At Actian, we are passionate about innovation and teamwork. This role is perfect for someone who thrives in a dynamic environment, loves creating an efficient and welcoming workspace, and enjoys working closely with a talented team. Interested? We’d love to hear from you! Let’s discuss how you can contribute to our success while growing your career with us. We value diversity at our company. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or any other applicable legally protected characteristics in the location in which the candidate is applying.