TigerData (creators of TimescaleDB)

Account Executive

• Prospect to CTOs, Engineering Leaders, and technical end users with insight-led outreach that challenges how they currently approach their problems.
• Take ownership of Sales Qualified Leads (SQLs) by shaping the deal, not just progressing it.
• Diagnose customer challenges and reframe them in a way that highlights risks, hidden costs, and missed opportunities in the status quo.
• Manage the full sales cycle, confidently guiding stakeholders toward clear decisions.
• Lead multi-stakeholder sales processes, tailoring your message to technical and business audiences.
• Leverage Solutions Architects, Customer Success, and Support strategically.
• Take control of deal strategy, next steps, and timelines to consistently close high-quality opportunities.

Mid-Market Account Executive

Support Engineer

• Provide technical support to customers experiencing database and platform issues
• Translate complex technical concepts into clear, actionable guidance
• Collaborate with customers to understand their use cases and optimise their implementations
• Deeply understand customer pain points and challenges to deliver solutions that truly address their needs
• Be a trusted advisor to customers and help them succeed
• Manage customer cases from beginning to end.
• Troubleshoot and optimise PostgreSQL and TimescaleDB performance issues
• Help implement database solutions, including Timescaledb features like hypertables, compression strategies, and continuous aggregates
• Analyse complex query execution plans and resolve performance bottlenecks
• Test new database features related to TimescaleDB or Agentic PostgreSQL to stay ahead of customers and proactively help them leverage new capabilities
• Investigate issues across the full stack — from application layer to database internals
• Integrate and troubleshoot platform features

Database Support Engineer

Full-stack Engineer

• Play a core role in helping to design and develop new database capabilities, including analytics, clustering and distributed operations, query and storage optimizations, and more.
• Develop, test, and release new features and functionality from our database technical roadmap.
• Continually improve, optimize, and test the existing functionality of TimescaleDB.
• Improve infrastructure to evaluate and test database correctness and performance.
• Work closely with our Cloud Engineering team to build a world-class experience for our TigerData customers.
• Provide elevated technical assistance to high-value customers, gaining insight into the needs and experiences of our users.
• Be an enthusiastic and personable teammate, receiving and providing code reviews and partnering and helping other engineers.

Senior Software Engineer – Database Internals

AI Engineer

• Identifying inefficiencies across Sales, Marketing, and RevOps and proactively fixing them
• Building and shipping AI-powered workflows, tools, and MVPs (internal-first, occasionally customer-facing)
• Automating repetitive GTM processes (lead enrichment, outbound personalization, CRM workflows, routing, etc.)
• Rapid experimentation: going from idea → prototype → live usage in days, not weeks
• Partnering across teams to deeply understand problems and deliver solutions that actually get used
• Acting as an internal thought partner on how AI can transform our GTM motion
• Continuously exploring new AI tools, workflows, and ideas and bringing the best ones into the company
• **Shipping is the goal, not prototypes that never get used**

GTM AI Engineer

Backend Engineer

• Ownership of features and services from inception through deployment and ongoing production support
• Design, develop, and maintain Golang-based services, with a strong emphasis on enabling business software solutions.
• Focus on building, maintaining, and optimizing the Connectors platform that help developers and enterprises ingest/export to/from TigerData more easily
• Developing new integrations with third-party APIs, tools, and platforms that expand the capabilities of our Connectors platform.
• Driving improvements to developer experience and reducing adoption friction for our customers.
• Collaborating cross-functionally with Product, Engineering, and Developer Experience to scope and deliver high-impact features.

Senior Backend Engineer – Connectors

Customer Success Manager

• Owning the health and outcomes of our scaled portfolio — including onboarding acceleration, adoption growth, retention risk mitigation, and expansion signal qualification across ~1,500 customers
• Designing and executing segmented 1:many engagement campaigns using tools like HubSpot, Salesforce, and Outreach
• Building personalized monthly adoption email campaigns that improve engagement, clarify customer use cases, and increase adoption of sticky features
• Launching and running a repeatable monthly webinar cadence (product roadmap sessions, customer roundtables, and best-practice sharing)
• Designing and running structured, time-bound plays focused on re-engaging dormant accounts, mitigating churn risk, and identifying and qualifying expansion opportunities
• Analyzing product usage data and telemetry to identify leading indicators of retention risk and growth opportunity
• Generating and qualifying expansion leads (CSQLs) through usage insights and structured discovery — maintaining a strong close rate in partnership with Sales
• Collaborating cross-functionally with RevOps and Marketing to refine segmentation, health scoring, and lifecycle campaign infrastructure
• Leveraging AI tools like Claude, ChatGPT, and Gemini to draft campaigns, surface risk patterns, summarize usage insights, and improve CS leverage
• Providing structured feedback to Product and Engineering based on scaled customer insights

Scaled Customer Success Manager

• Prospect to CTOs, Engineering Leaders, and technical end users with insight-led outreach that challenges how they currently approach their problems.
• Develop and execute strategic account plans for a defined set of named accounts.
• Build and maintain relationships at the executive level (VP, C-suite) across technical and business functions.
• Take ownership of Sales Qualified Leads (SQLs) by shaping the deal, not just progressing it.
• Diagnose customer challenges and reframe them in a way that highlights risks, hidden costs, and missed opportunities in the status quo.
• Manage the full sales cycle, confidently guiding stakeholders toward clear decisions.
• Coordinate cross-functional resources (Solutions Architects, Customer Success, Legal, Product) across extended sales cycles.
• Land new logos and drive expansion within existing enterprise accounts.

Mid-Market Account Executive

Mid-Market Account Executive

Database Support Engineer

Senior Software Engineer – Database Internals

GTM AI Engineer

Senior Backend Engineer – Connectors

Scaled Customer Success Manager

Enterprise Account Executive