Foundations Engineer (Agents, SF In Office)

Members on our team have:

Founded and exited successful companies

Held the highest positions at Google, AWS, Confluent, and New Relic

Won IMO and IOI gold medals

Published field-defining papers

We’re backed by the best, having raised $50M from Sequoia (Alfred Lin), General Catalyst (Hemant Taneja), Google Ventures, Elad Gil, and Chris Ré.

Core Principles

Taste: Craft beautiful experiences.

No matter how small, we strive to make sure every detail is right. We care deeply about every interaction, both in terms of whether it helps the seller get the job done, but also how the product makes them feel. We get a visceral feeling when something is off and stop at nothing to make sure we make it right. We never settle, continuously exploring ways to delight sellers.

Obsession: Commit unreasonably.

In all aspects of our craft, we commit. We not only are immediately reactive to customers’ requests but are proactive about driving value even before they ask. We are also obsessive about always learning and honing our craft, improving ourselves and product every single day.

Action: Get it done.

Talking is easy but the difference comes from the execution. We lean heavily towards making thoughtful yet fast decisions and delivering immediately. We play in a field where trust is paramount. We earn the trust and right to empower the best sellers by forging a history of over-delivering on the promise at record speed.

Your Role

As a Backend Platform Engineer at Rox, you’ll be at the center of building intelligent, agentic workflows that redefine how the world’s top revenue teams operate.

You’ll work across the full lifecycle of AI-driven product development, from training and evaluating models to integrating them into user-facing systems. You’ll collaborate closely with engineers, designers, and customers to iterate quickly, ship impactful features, and continuously improve the intelligence and reliability of our agent swarm.

You’ll be responsible for designing multi-step workflows, applying cutting-edge LLM research in production, and driving the experimentation and evaluation loop for AI-powered features, all in a fast-moving, product-focused environment.

Responsibilities

High Ownership: Ability to do E2E design and implement scalable systems independently, define/understand requirements and write clean code

Customers First: Engage closely with customers to understand requests, join customer calls and ship out solutions working closely with product and AI engineers

Systems Understanding: Understanding of data storage systems (Amazon Aurora, DynamoDB, Snowflake, S3). Understanding of queuing / streaming systems (SQS, Kafka, Spark)

Operations: Be obsessed about operations and strive to ensure that there is minimal to no downtime or impact to the customer

Bias for action: Ability to work and ship in a fast paced environment with weekly deliverables; has founder-energy to work with as minimal direction as possible

Be Curious: Curious to learn, work hard and have a growth mindset

Qualifications

BS or MS in Computer Science or related field. 5+ years of work experience; having built and scaled platform systems is a plus

Tech stack: Python, Flask, AWS

Understanding of LLM models and/or deep understanding of services in multiple clouds is a plus

Be located in or willing to relocate to San Francisco

Benefits

Competitive pay with considerable equity upside

Health Insurance

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