TigerData (creators of TimescaleDB)

Full-stack Engineer

• Leading the design and development of TimescaleDB Enterprise, our on-prem deployment and management platform for TimescaleDB.
• Building and evolving core product capabilities, including:
• - management consoles,
• - deployment workflows,
• - operational tooling,
• - configuration management,
• - and customer administration experiences.
• Owning technical decisions across the product lifecycle, balancing speed, scalability, maintainability, and customer experience.
• Working directly with enterprise customers and prospects to understand operational requirements and translate them into pragmatic product solutions.
• Driving new feature development while continuously improving reliability, usability, and operational simplicity.
• Partnering closely with Platform Engineering and cross-functional stakeholders across Product, Support, and Sales Engineering.
• Helping shape the long-term product and technical direction of the Enterprise platform.
• Operating effectively in ambiguous environments where priorities evolve quickly and engineers are expected to drive clarity.
• Leveraging AI tools daily to accelerate development, debugging, documentation, and product iteration workflows.

Lead Software Engineer, TimescaleDB Enterprise

Engineer

• Own the hardest part of customer adoption. Ship real results, fast.
• Provide customer project delivery.
• Implement migrations, data optimizations, and schema designs.
• Scope and execute engagements with clear, measurable deliverables.
• Fix complex technical problems.
• Tune slow queries and configurations.
• Write tactical fixes and scripts to unblock customers quickly.
• Apply AI to accelerate engineering.
• Use copilots (LLMs, AI assistants) to generate query rewrites and test optimizations.
• Create reusable AI prompts and delivery playbooks.
• Bridge architecture and reality.
• Translate reference architectures into customer-specific deployments.
• Adapt TigerData features (e.g., Hypertables, Hypercore, continuous aggregates, vector search) to real workloads.
• Be the customer’s technical champion.
• Own technical success during project delivery.
• Escalate to core Engineering only when there’s a product-level gap.
• Capture and share knowledge.
• Write playbooks, scripts, and internal guides.
• Feed learnings back to Product and Engineering.

Customer Delivery Engineer

Platform Engineer

• Maintain stability of control plane consisting of a distributed microservice architecture closely interacting with kubernetes and cloud provider APIs
• Debug and resolve complex Kubernetes issues across multiple regions and clouds
• Automate database lifecycle operations (deploy, resize, upgrade, fork)
• Participate in on-call rotation, handle incident response, perform root cause analysis
• Develop back-end features for Tiger Cloud, specializing in a distributed microservice architecture
• Develop Kubernetes controllers, operators, and CRDs to extend platform capabilities
• Enhance observability and monitoring systems
• Improve deployment reliability, error handling, and client tooling (CLI interfaces)
• Collaborate closely with infrastructure and software engineering teams
• Stay current with Kubernetes releases and contribute to system architecture of scalable microservices

Senior Platform Engineer

Customer Support

• Leading Tiger Data’s Customer Success and Technical Support organizations, including managers and highly technical customer-facing teams.
• Building and operationalizing Tiger Data’s customer experience strategy for our next phase of growth, especially as we expand into larger enterprise accounts.
• Partner to define clear ownership across Customer Success, Technical Support, Pre-Sales, Implementation, Sales, Product, and Engineering so customers experience one Tiger Data team, not internal handoffs.
• Designing customer segmentation, engagement models, escalation paths, support coverage, success planning, health scoring, and renewal/expansion motions that scale.
• Driving measurable improvements in adoption, retention, gross revenue retention, net revenue retention, expansion, customer satisfaction, time-to-resolution, support quality, and executive visibility into customer health.
• Acting as the executive voice of the customer internally, turning customer trends, escalations, support patterns, and adoption signals into clear recommendations for Product, Engineering, GTM, and company leadership.
• Building the next generation of customer operating rhythms: QBRs/EBRs, escalation reviews, customer health reviews, renewal risk reviews, expansion planning, support quality reviews, and executive customer reporting.
• Coaching and developing managers while staying hands-on enough to understand the reality of the team’s work, customer pain points, and operational gaps.
• Using AI thoughtfully to improve the customer experience and team productivity, including support workflows, knowledge management, customer health insights, escalation analysis, team enablement, and customer communication quality.
• Hiring, developing, and retaining high-performing customer leaders and individual contributors who can operate with urgency, technical curiosity, ownership, and customer empathy.
• Building systems and processes that make the team sharper, faster, and more accountable, without slowing down the startup pace that makes Tiger Data work.

Head of Customer Experience

Technical Recruiter

• Owning full-cycle recruiting for engineering roles across the business, from intake and calibration through sourcing, interview process design, offer, and close
• Maintaining a high bar for every hire. We are a small organization, and every hire can make a positive or negative impact on our goals. This responsibility cannot be taken lightly.
• Partnering closely with hiring managers to define role scope, align on candidate profile, and build practical, high-signal interview plans
• Coaching interviewers and hiring teams on structured interviewing, candidate evaluation, and how to maintain a high hiring bar while moving with urgency
• Personally driving outbound sourcing strategy and execution across multiple roles; we do not have dedicated sourcers, so this role is expected to source heavily and consistently
• Managing candidate pipelines with intensity and precision, ensuring strong conversion at every stage from first outreach through offer acceptance
• Creating an excellent candidate experience, especially with high-demand engineering talent who expect responsiveness, clarity, and strong selling throughout the process
• Using AI tools effectively to improve recruiter productivity, sourcing research, communication quality, interview preparation, and pipeline management, while applying sound judgment and maintaining a high-quality candidate experience

Senior Engineering Recruiter

Product Marketing

• Own developer-facing messaging, competitive intelligence, and feature-level launches for Tiger Cloud.
• Craft technically accurate narratives for developers.
• Drive end-to-end GTM for feature releases, including positioning and content.
• Build and maintain competitive positioning materials and battle cards.
• Produce high-quality, developer-first content including blogs and landing pages.
• Partner with Demand Generation and Marketing Operations for product stories.
• Contribute to technical demo materials and field-facing messaging.

Senior Product Marketing Manager

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

• 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**

Lead Software Engineer, TimescaleDB Enterprise

Customer Delivery Engineer

Senior Platform Engineer

Head of Customer Experience

Senior Engineering Recruiter

Senior Product Marketing Manager

Mid-Market Account Executive

Mid-Market Account Executive

Database Support Engineer

Senior Software Engineer – Database Internals

GTM AI Engineer