Jobs · Management · California

Operations Associate

HumanSignal Services (formerly Erud AI) · San Francisco, CA · 3 wk ago
Management$70k–$90k/yrFull-time

About the role

The day-to-day is intense by design. You'll juggle multiple programs at once, each with its own contributors, quality standards, and customer expectations. You'll make hard calls with incomplete information, hold contributors and vendors accountable, and find creative solutions to problems that don't have obvious answers. The expectation is simple: own the outcome, no excuses. High performers here grow faster than anywhere else in the industry. The bar is high — and that's the point.

Responsibilities

  • Build and drive critical operational processes to meet day-to-day customer delivery commitments
  • Manage daily operations across multiple Fellow or contributor programs, including onboarding, workflow coordination, and ongoing program health
  • Maintain operational trackers and documentation to ensure consistent execution and follow-through across the team
  • Monitor contributor engagement and flag retention or performance risks before they become delivery issues
  • Create an effective feedback loop between frontline operations, product, strategy, and customers
  • Identify recurring bottlenecks and recommend process improvements; run pilots and experiments to test solutions
  • Collaborate with SPLs, TPMs, Customer Operations, and Product teams to improve processes for new and existing customers

Requirements

  • 2+ years of experience in an operational role or top-tier consulting firm
  • Undergraduate degree in an analytics-heavy field (Engineering, Economics, or related)
  • Action-oriented; balances creative problem-solving with scrappy execution
  • Strong analytical and process-improvement capability
  • Proficiency in SQL or demonstrated analytical tooling skills

Preferred Qualifications

  • Experience in marketplace, logistics, or workforce platform operations
  • Familiarity with tools like Zendesk, Notion, or Airtable
  • Exposure to AI/ML workflows, data annotation, or contributor management
  • Entrepreneurial mindset; comfortable in fast-moving, ambiguous environments

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