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Foundations Engineer (Agents, SF In Office)

Rox Data Corp · San Francisco

Extracted from the posting

Base
Not stated
Equity
Considerable equity upside; no figures stated
Remote
In-office, San Francisco; must be in or willing to relocate to SF
Stack
Python, Flask, AWS, Amazon Aurora

Foundations Engineer on the Agents team building multi-step agentic workflows, integrating LLMs into user-facing systems, and running experimentation and evaluation loops for AI features. Owns end-to-end design of scalable systems and joins customer calls to ship solutions. Tech stack: Python, Flask, AWS; also references Aurora, DynamoDB, Snowflake, S3, SQS, Kafka, and Spark.

About Us

At Rox, we believe in empowering people to do their best work.

Our platform supercharges sellers with autonomous revenue agents to do the manual work so they can focus on what they do best: selling. Just as coding agents 10x’d engineering, revenue agents 10x customer work.

We are reimagining the revenue stack by building the world’s first revenue operating system, from the application layer to the system of context. With Rox, humans are evolving to orchestrators while agents manage the end-to-end customer lifecycle.

Rox powers Global 2000 leaders in banking, hardware, construction, and sovereign AI, while serving dominant AI winners like Ramp and Cognition.

Underlying all of this success is an unwavering, shared belief in the mission, with an unreasonable commitment of doing whatever it takes to make it a reality.

The Team

Nothing is possible without the world-class team, assembled to redefine how businesses operate.

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, including Sequoia, General Catalyst, 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 Foundations Engineer on the Agents team 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
  • Medical, dental, and vision, including 100% company-paid plans for you and eligible dependents
  • Company-paid life & AD&D, plus short- and long-term disability
  • 401(k) with automatic enrollment
  • Unlimited PTO, plus paid sick leave, company holidays, and bereavement
  • Up to 20 weeks of paid parental leave at 100% pay (birth, adoption, or foster)
  • Wellness stipend: $375/quarter
  • Learning stipend: up to $2,000/year
  • Internet & cell phone stipend: $25/month
  • Mental health support, virtual care, and care navigation
  • Fertility & family-building support, plus backup care membership
  • Pre-tax commuter benefits (transit & parking)
  • SF HQ: daily catered breakfast & lunch, meal allowances, and rideshare support when commuting to the office

Apply

To apply, please fill out the application form. We're looking forward to connecting with you!

Technologies

PythonFlaskAWSAmazon AuroraDynamoDBSnowflakeS3SQSKafkaSpark
Rox Data Corp
Rox Data Corp
Website

Job details

TypeFull-time
Work ModeOn-site
LevelSenior
Location🇺🇸San Francisco, CA
PostedNov 05, 2026
Apply Now

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