ATG
Member of Technical Staff (Data Platform)
- Location
- New York City, NY, US
- Arrangement
- Hybrid
- Employment type
- Full-time
- Level
- Staff
- Posted
- 4 August 2026 (about a month ago)
Checked about a month agoApplications go to the employer, never to RoleSprint
About this role
ABOUT US
ATG (Autonomous Technologies Group) is an AI lab deploying frontier reasoning systems within financial markets. Autonomous https://becomeautonomous.com is an agentic wealth manager built on this foundation.
Founders: Early GPU cloud (9 figure exit).
Investors: Led by Garry Tan / YC with participation from one of the most successful quant funds, BoxGroup (Plaid, Ramp, Stripe), and other top-tier angels.
ABOUT THE ROLE
You’ll design, build, and maintain the robust data pipelines and infrastructure required for large-scale AI research, applied AI, production systems. We are building a data lake that ingests a broad and growing set of financial and market datasets from many vendors and sources. You will take ownership of it end to end: hardening what exist today, making the core architectural calls on storage, orchestration, and data modeling, and building out the rest.
Your job is to ingest all of it, model it correctly, and make it queryable, versioned, and trustworthy for both humans and AI agents.
RESPONSIBILITIES
- Own the data platform end to end: ingestion, storage, transformation, cataloging, governance, and access across research and production.
- Build reliable pipelines: onboard large, heterogeneous datasets; handle schema changes, late data, revisions, backfills, and vendor failures.
- Guarantee research-grade correctness: point-in-time data, lineage, versioning, and reproducibility; prevent look-ahead and survivorship bias.
- Create trusted data products: normalize identifiers, timestamps, corporate actions, reference data, and unstructured sources into accessible datasets and APIs.
- Enable AI-native systems: build permission-aware interfaces, metadata, datasets, and benchmarks designed for both researchers and agents.
- Partner across the team: work directly with research and engineering to turn ambiguous problems into durable data capabilities.
REQUIREMENTS
- Exceptional software and data engineering skills: strong Python and SQL, plus experience with distributed processing and modern data infrastructure.
- Production ownership: demonstrated ability to design, deploy, operate, and improve business-critical data systems at scale.
- Temporal-data expertise: revisions, event time versus knowledge time, reproducibility, and point-in-time querying.
- Strong data judgment: messy, changing, unstructured, or adversarial data; rigor about correctness, provenance, and privacy.
- AI-native workflow: uses coding agents daily and builds data systems that are safe, well-described, and machine-consumable, for agents as much as humans.
- Financial-data experience strongly preferred: market data, security identifiers, corporate actions, or quantitative research.
Why Join ATG
We're building a small, elite team. If you're excited by AI, markets, and building from first principles, we’d love to meet you.
- Work on AI with a massive market opportunity
- Early team of repeat founders backed by top investors
- High agency, talent dense, zero bureaucracy
Locations
- New York City, NY, US
- San Francisco, US
Ready to make a decision?
This role is either worth your time or it isn’t.
Analyze the posting against your experience, see the gaps clearly, and build the right materials only if the opportunity makes sense.
Nothing is submitted automatically. You choose what happens next.
About this listing
Published on Ashby under the board identifier Atg, which is the name the employer’s own job board carries. RoleSprint has not verified the company’s registered or trading name, so it is shown exactly as published rather than tidied up.
RoleSprint is not the employer and not a recruiter. Applications are made on the employer’s own site and never reach us; what RoleSprint does is help you decide whether a role is worth your time and prepare for it if it is.
Published 4 August 2026, last checked about a month ago. A posting stops being advertised here 90 days after the employer published it, and one the employer takes down is marked closed rather than quietly removed.