Rox Data Corp
Customer Support Engineer
San Francisco · Mid
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About the role
- This is a technical, customer-facing role.
- You'll work tickets and escalations across integrations, workflows, agents, and core platform behavior.
- triage, reproduce, resolve, and communicate with clarity and urgency.
Responsibilities
- Own the customer product support queue end to end: intake, triage, reproduction, resolution, and clear customer communication
- Protect support SLAs, with faster handling for severe product-impairing and loss-of-functionality issues
- Partner with FDEs and Growth Strategists on account-critical escalations without turning every ask into a custom build
- Build lightweight tooling and playbooks that shrink time-to-resolution as volume grows
- Fertility & family-building support, plus backup care membership
- SF HQ: daily catered breakfast & lunch, meal allowances, and rideshare support when commuting to the office
Requirements
- Comfort reading logs, reproducing bugs, and explaining technical findings to both technical and non-technical audiences
- Comfort operating in a fast-moving, early-stage environment where process is still being built
- 2+ years in technical support, solutions engineering, or a similar customer-facing technical role in B2B SaaS
- Strong troubleshooting instincts across systems that touch SaaS apps, APIs, identity, and data integrations
- Bias toward documentation and automation over repeating the same manual fix
- Be located in or willing to relocate to San Francisco
Nice to have
- Experience with CRM and GTM stacks (Salesforce, HubSpot, or similar) is a plus
- Familiarity with SQL or a scripting language for investigating customer data issues is a plus
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
- 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)
- Mental health support, virtual care, and care navigation
- Pre-tax commuter benefits (transit & parking)
- Wellness stipend: $375/quarter
- Learning stipend: up to $2,000/year
- Internet & cell phone stipend: $25/month
- Clear written communication: customers should leave every thread knowing status, next step, and owner
Company info
- At Rox https://rox.com/, 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.
- 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.
- 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
This listing is sourced directly from Rox Data Corp's careers page and normalized into a canonical job model.