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NEXTMOVEFDE careers · United States

Foundations Engineer (Agents, SF In Office)

AI summary of the role

Rox is hiring a Backend Platform Engineer to build intelligent, agentic workflows for their AI-native revenue operating system.

What you’ll do

  • Design and implement scalable systems end-to-end independently
  • Engage closely with customers to understand requests and ship solutions
  • Work with data storage systems (Amazon Aurora, DynamoDB, Snowflake, S3) and queuing/streaming systems (SQS, Kafka, Spark)
  • Ensure minimal downtime and impact to customers through operational excellence

What you’ll bring

  • BS or MS in Computer Science or related field
  • 5+ years of work experience
  • Tech stack: Python, Flask, AWS
  • Located in or willing to relocate to San Francisco

Technologies

Python · Flask · AWS · Amazon Aurora · DynamoDB · Snowflake · S3 · SQS · Kafka · Spark · LLM

About Rox

AI-native revenue operating system connecting GTM data across CRM/Zendesk, deploying autonomous agents to execute sales workflows while humans focus on closing deals.

Series A · 100–200 people

Source and classification

Production engineering · Evidence for this classification:

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
More from the job description

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 a 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, 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 de [... source excerpt omitted ...] 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-deliverin [... source excerpt omitted ...] cycle 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 a

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