Drimva

Roblox

Vendor Operations, Automation

$145K–$174K

San Mateo, CA, United States · Full-time · Posted Sep 9, 2026

Experience
3–5 years of program and/or project management experience.
Visa sponsorship
For US-based roles, Roblox may be unable to employ candidates whose US work authorization is related to certain U.S. visa categories, or support future H-1B sponsorship at this time.

About the job

Scales safety vendor operations by standardizing workflows, implementing automation, and reporting operational performance to leadership.

What you'll do

  • Design and roll out standardized processes and playbooks to improve vendor-operation quality, throughput, and cost efficiency.
  • Partner with vendors and internal teams to establish workflows, SLAs, success metrics, and measurable outcomes; implement automation, including agentic and LLM-based solutions.
  • Analyze operational datasets, report program health, and communicate status, risks, and recommendations to senior leadership.

What they ask for

  • 3–5 years of program and/or project management experience.
  • Hands-on process automation experience, practical familiarity with LLMs for agentic solutions, and a working understanding of basic machine learning concepts.
  • Experience with or exposure to vendor relationship management, including SLAs, performance reviews, and escalations.
  • High proficiency in spreadsheet software (Excel/Google Sheets), data fluency, and strong written and verbal communication skills, including communication with senior leadership.

Nice to have

  • Experience in operations, vendor management, or trust & safety; vendor or customer service operations experience is a strong plus.
  • Basic proficiency in a coding or scripting language (e.g., Python, SQL) to explore and contextualize large datasets.

Pay

$144,620 — $174,100 USD base salary (annual; San Mateo, CA headquarters roles)

Tools

Excel, Google Sheets, LLMs, Python, SQL

AI focus

Identify and implement automation, including agentic and LLM-based solutions, to reduce manual work and improve consistency; apply a working understanding of basic machine learning concepts.

Model-written summary · the original posting is authoritative

First seen Oct 10, 2026 · Last verified Nov 5, 2026 (UTC)