Customer Delivery Engineer, TigerData

EMEA

Salary not provided

+ Stock options for long-term growth

SQL

AWS

Docker

Kubernetes

Python

Postgres

Junior, Mid and Senior level

Remote from Spain

Building the new standard for data infrastructure, built on PostgreSQL, designed for the future

Be an early applicant

Building the new standard for data infrastructure, built on PostgreSQL, designed for the future

101-200 employees

B2BEnterpriseSaaSData IntegrationData Analysis

Be an early applicant

Salary not provided

+ Stock options for long-term growth

SQL

AWS

Docker

Kubernetes

Python

Postgres

Junior, Mid and Senior level

Remote from Spain

101-200 employees

B2BEnterpriseSaaSData IntegrationData Analysis

Company mission

TigerData is the fastest PostgreSQL platform for real-time, analytical, and agentic applications.

Job

Company

Role

Who you are

Have deep hands-on experience with PostgreSQL — especially SQL tuning, performance optimization, and schema design
Have delivered complex migrations, data transformations, or optimizations in production environments
Are fluent in SQL and Python (or similar scripting languages for data work)
Are comfortable leading technical conversations with customers, especially under pressure
Love using AI tools (copilots, LLMs) to speed up query rewriting, code generation, or problem diagnosis
Communicate clearly and know how to explain tradeoffs to customers in high-stakes moments
Bonus: experience in Solutions Engineering, Professional Services, or Technical Consulting

What the job involves

As a Customer Delivery Engineer at TigerData, you’ll work directly with our most strategic customers during their make-or-break moments: migrations, performance tuning, schema design, and production rollout.
You’ll write SQL, debug slow queries, optimize real workloads, and you’ll do it all while using AI copilots to go faster and work smarter. Your job is to help customers go live successfully, not to write long docs or open tickets for someone else to fix
This isn’t a support role. It’s a delivery engineering role for builders who thrive in ambiguity, love working directly with customers, and want to see their work quickly translate into a real-world production environment
Deliver customer projects
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
Success in this role looks like:
Customers consistently go live in production, on-time and with clear performance wins
Projects deliver measurable outcomes — e.g., 10x faster queries, seamless migrations
You’re known internally as a go-to technical voice on Postgres performance and customer delivery
Knowledge from your work gets reused across the org — through scripts, guides, or automation
You’re seen by customers as a trusted technical advisor, not just a vendor support rep

Our take

Timescale helps developers and businesses manage and analyze big data sets that power large-scale operations. It offers this through its own open-source time-series SQL database which, unlike many competitors, is built with PostgreSQL.

The product’s broad client applications include finance, logistics, and space. It serves hundreds of customers, with tens of thousands of other organizations using the TimescaleDB platform in the community (including companies like IBM, Microsoft, Pfizer, and Samsung, among others.)

Timescale has also landed substantial funding, becoming a Unicorn back in 2022. This all signifies the value that Timescale's platform provides. The company continues to grow, investing across product, engineering, and R&D, as well as broadening its efforts in serving the Timescale community.

Steph

Company Specialist at Welcome to the Jungle

Insights

Top investors

-2% employee growth in 12 months

Glassdoor (4.3)

Company

Funding (last 2 of 6 rounds)

Feb 2022

$110m

SERIES C

May 2021

$40m

SERIES B

Total funding: $184.8m

Company benefits

Flexible PTO & family leave
Professional development & educational benefits
Summer Fridays off in August
Fully remote work from anywhere
Stock options
Monthly WiFi stipend

Company HQ

Midtown East, New York, NY

Leadership

Ajay Kulkarni

(Co-Founder & CEO)

Previous CEO and Co-Founder of computer software company Sensobi, and worked in product at GroupMe/Skyprosoft.

Michael Freedman

(Co-Founder & CTO)

Previous Research Assistant at multiple universities, including Berkeley and Stanford University. Co-founded Illuminics Systems, which was later acquired by Neustar. Current Advisor to Blockstack and Professor of Computer Science at Princeton University.

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