HartleyCo
Senior Software Engineer - AI & Large-Scale Data Systems
San Francisco, CA | $180K - $250K + 1-2% equity
We’re working with a YC-backed startup that’s reinventing the $1T geospatial and mapping space with AI. They’re looking for a senior engineer to own their place-data infrastructure and help scale the next generation of AI-powered products.
Why this role?
Join pre-Series A, working directly with the founders on systems that will shape the future of geospatial AI.
Take full ownership of high-volume data pipelines powering 100M+ rows and billions of operations.
Step into a role where you’ll effectively become a “third co-founder” in how central you are to the product.
Compensation is top-of-market: up to $250K base plus 1-2% equity.
What you’ll be building:
Core infrastructure for large-scale data pipelines and ETLs handling 20M+ rows and beyond.
A world-class dataset of 100M+ places.
An AI-powered table that makes wrangling/enriching data accessible to non-technical users.
APIs capable of scaling to billions of operations.
Internal AI agents across web, vision, and document reading (with browser agents on the horizon).
What we’re looking for:
7-12+ years’ experience as a backend/software engineer.
The last ~5 years spent on large-scale data systems (ETLs, pipelines, queuing systems) in production.
Strong in Python and AWS (or another major cloud provider).
Deep understanding of distributed systems, data quality, and observability.
Experience from data-heavy companies (e.g. Square, Yelp, Zillow, Redfin, ZoomInfo, Apollo) or Series C+ startups.
Geospatial experience is a bonus, but not required.
High-bandwidth communicator, collaborative, and able to prioritise with founders.
This is a rare chance to join a YC startup at the ground floor, own mission-critical systems, and play a role that could evolve into leadership as the company scales.
Apply now and let’s chat.
#J-18808-Ljbffr
San Francisco, CA | $180K - $250K + 1-2% equity
We’re working with a YC-backed startup that’s reinventing the $1T geospatial and mapping space with AI. They’re looking for a senior engineer to own their place-data infrastructure and help scale the next generation of AI-powered products.
Why this role?
Join pre-Series A, working directly with the founders on systems that will shape the future of geospatial AI.
Take full ownership of high-volume data pipelines powering 100M+ rows and billions of operations.
Step into a role where you’ll effectively become a “third co-founder” in how central you are to the product.
Compensation is top-of-market: up to $250K base plus 1-2% equity.
What you’ll be building:
Core infrastructure for large-scale data pipelines and ETLs handling 20M+ rows and beyond.
A world-class dataset of 100M+ places.
An AI-powered table that makes wrangling/enriching data accessible to non-technical users.
APIs capable of scaling to billions of operations.
Internal AI agents across web, vision, and document reading (with browser agents on the horizon).
What we’re looking for:
7-12+ years’ experience as a backend/software engineer.
The last ~5 years spent on large-scale data systems (ETLs, pipelines, queuing systems) in production.
Strong in Python and AWS (or another major cloud provider).
Deep understanding of distributed systems, data quality, and observability.
Experience from data-heavy companies (e.g. Square, Yelp, Zillow, Redfin, ZoomInfo, Apollo) or Series C+ startups.
Geospatial experience is a bonus, but not required.
High-bandwidth communicator, collaborative, and able to prioritise with founders.
This is a rare chance to join a YC startup at the ground floor, own mission-critical systems, and play a role that could evolve into leadership as the company scales.
Apply now and let’s chat.
#J-18808-Ljbffr