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Rox

AI-powered sales productivity platform

Core Engineering

Platform Engineering +1Confirmed live in the last 24 hours
Full-timeSan Francisco, CA, USANo salary listed

About the Job

Requirements

  • Strong background in distributed systems or platform engineering.
  • Experience building and operating high-scale backend infrastructure.
  • Strong systems fundamentals across networking, concurrency, storage, and reliability.
  • Experience with streaming systems, distributed databases, or real-time infrastructure.
  • Ability to independently design and ship complex technical systems.
  • Strong product and engineering judgment.

Responsibilities

  • Build infrastructure for reliable autonomous agent execution.
  • Design systems for deterministic, auditable agent behavior at enterprise service-level agreements.
  • Develop low-latency retrieval and context systems powering artificial intelligence workflows.
  • Build and scale graph-based infrastructure and semantic retrieval systems.
  • Improve observability, debugging, and reliability across distributed agent systems.
  • Work on real-time data ingestion and streaming architectures.
  • Collaborate closely with platform, artificial intelligence, and product engineering teams.
  • Help shape the long-term architecture behind Rox’s agent runtime.

Desired Qualifications

  • Experience with Apache Flink, distributed query engines, real-time online analytical processing systems, graph retrieval systems, semantic search infrastructure, streaming compute systems, large-scale platform engineering, or artificial intelligence infrastructure and orchestration systems.
  • Open-source contributions, infrastructure specialization, or experience serving as a technical force multiplier within an organization.

About the Company

Rox

AI-powered sales productivity platform

Rox is a sales productivity platform that uses AI to help teams manage and grow customer relationships. It relies on agent swarms that unite, process, and monitor customer data from internal and external sources, automating research, engagement, and monitoring tasks. The platform plans and prioritizes customer interactions, provides clear insights, and can generate personalized emails and LinkedIn content while keeping CRM data up to date. Its goal is to help sales teams act proactively and consistently to strengthen relationships and drive growth.

Company size
51-200
Company stage
Series B
Total funding
$150M
Headquarters
San Francisco, CA
Founded
2024

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