JOB DETAILS
Member of Technical Staff
CompanyTextQL
LocationNew York City
Work ModeOn Site
PostedSeptember 20, 2026
About The Company
No description available for this Company.
About the Role
/ DEPARTMENT
Engineering
/ LOCATION
NYC
/ LEVEL
Senior
/ TOTAL COMP
$350K-450K
/ SCHEDULE
Full-time
APPLY →
Member of Technical Staff
[Platform]
/ ENGINEERING
/ NYC
/ SENIOR
/ $350K-450K
TextQL builds AI agents and software that enterprises use to drive critical decisions on their data — and pushes the unit cost of those decisions toward zero. By putting everything a company knows behind every question, our platform closes a quarter's books 140× faster, answers two thousand operational questions a week, and helps care networks decide better for millions of patients. Blackstone, Amazon, Ring, Scale AI, and Lumeris rely on us to make better decisions, faster. We're rapidly expanding our engineering team to build the agentic data lakehouse – finding trustworthy answers to hard questions from messy enterprise data without configuring schemas, moving data, or lengthy implementation roadmaps.
Platform
Have you rage-quit a BI tool because the semantic layer couldn't handle a simple hierarchy? Have you built a semantic layer yourself?
Today, no one stakes their job on AI-generated queries. You'll build the system that changes that—giving agents the context to query enterprise data correctly, and the guardrails to prove it.
What Success Looks Like
Within 90 days, you'll have shipped meaningful contributions to the platform layer
Within 6 months, you'll own major subsystems end-to-end
Within a year, you'll be a technical leader shaping the architecture of the agentic data lakehouse
About You
4+ years of experience as a data systems, backend, infrastructure, or platform engineer
Experience at early-stage startups or building products from zero to one
Comfortable diving into any part of the system—infrastructure, services, or frontend
You care about building systems that are robust, scalable, and easy to use
Compensation & Logistics
Total Compensation: $350K-450K ($200K base + $50K-150K bonus + $100K equity)
Interview: We prefer on-site interviews when feasible and can make a decision within 72 hours of your on-site. If you're outside NYC, we'll cover all travel expenses.
Onsite: We are 5 days a week in-office in FiDI, NYC
Benefits: 401(k) matching up to 5%, top-tier health insurance, 21 days PTO, free lunch
Visa Sponsorship: Yes—we retain immigration counsel to support the process.
If this description resonates, we strongly encourage you to apply.
The Application
We have a very simple, signal-driven process. Please send Gabriel an email with the following:
What is the most significant technical challenge you have solved? How did you solve it?
Your GitHub and/or LinkedIn
Your resume
APPLY NOW →
Engineering
/ LOCATION
NYC
/ LEVEL
Senior
/ TOTAL COMP
$350K-450K
/ SCHEDULE
Full-time
APPLY →
Member of Technical Staff
[Platform]
/ ENGINEERING
/ NYC
/ SENIOR
/ $350K-450K
TextQL builds AI agents and software that enterprises use to drive critical decisions on their data — and pushes the unit cost of those decisions toward zero. By putting everything a company knows behind every question, our platform closes a quarter's books 140× faster, answers two thousand operational questions a week, and helps care networks decide better for millions of patients. Blackstone, Amazon, Ring, Scale AI, and Lumeris rely on us to make better decisions, faster. We're rapidly expanding our engineering team to build the agentic data lakehouse – finding trustworthy answers to hard questions from messy enterprise data without configuring schemas, moving data, or lengthy implementation roadmaps.
Platform
Have you rage-quit a BI tool because the semantic layer couldn't handle a simple hierarchy? Have you built a semantic layer yourself?
Today, no one stakes their job on AI-generated queries. You'll build the system that changes that—giving agents the context to query enterprise data correctly, and the guardrails to prove it.
What Success Looks Like
Within 90 days, you'll have shipped meaningful contributions to the platform layer
Within 6 months, you'll own major subsystems end-to-end
Within a year, you'll be a technical leader shaping the architecture of the agentic data lakehouse
About You
4+ years of experience as a data systems, backend, infrastructure, or platform engineer
Experience at early-stage startups or building products from zero to one
Comfortable diving into any part of the system—infrastructure, services, or frontend
You care about building systems that are robust, scalable, and easy to use
Compensation & Logistics
Total Compensation: $350K-450K ($200K base + $50K-150K bonus + $100K equity)
Interview: We prefer on-site interviews when feasible and can make a decision within 72 hours of your on-site. If you're outside NYC, we'll cover all travel expenses.
Onsite: We are 5 days a week in-office in FiDI, NYC
Benefits: 401(k) matching up to 5%, top-tier health insurance, 21 days PTO, free lunch
Visa Sponsorship: Yes—we retain immigration counsel to support the process.
If this description resonates, we strongly encourage you to apply.
The Application
We have a very simple, signal-driven process. Please send Gabriel an email with the following:
What is the most significant technical challenge you have solved? How did you solve it?
Your GitHub and/or LinkedIn
Your resume
APPLY NOW →
Key Skills
Data SystemsBackend EngineeringInfrastructureSemantic Layer
Categories
EngineeringData
Benefits
401(k) matching up to 5%Top-tier health insurance21 days PTOFree lunchTravel expenses covered for on-site interviewsImmigration counsel support
Job Information
📋Core Responsibilities
Build the platform layer of an agentic data lakehouse, giving AI agents the context to query enterprise data correctly and the guardrails to prove correctness. Ship meaningful platform contributions within 90 days, own major subsystems end-to-end within 6 months, and shape architecture as a technical leader within a year.
📋Job Type
full time
💰Salary Range
$350,000 - $450,000
📊Experience Level
2-5
💼Company Size
Not specified
📊Visa Sponsorship
Yes
💼Language
English
🏢Working Hours
40 hours
Apply Now →
You'll be redirected to
the company's application page