Administrative Business Operations

Reposted 18 Days Ago
San Francisco, CA, USA
In-Office
Junior
Artificial Intelligence • Software
Building embeddings-based search infrastructure
The Role
Support C-suite and broader team with scheduling, office operations, and recruiting coordination. Manage calendars, office logistics, and team events.
Summary Generated by Built In

Exa is building a search engine for the AI era. Our Search API currently powers Agents, Fortune 500s and AI labs as we transform an industry that hasn’t been disrupted since the 90s. We're a largely SF-based team of ~100 from Harvard, MIT, Meta, Google Research, ex-founders & dropouts alike.
We recently raised an $85M Series B from Benchmark, and we are rapidly building the most intelligent search engine in history. We’re high agency, low-ego, and united by the feeling that this is one of the last problems worth getting right.

We're looking for an in-person Administrative Business Operations lead to be the operational support for key executive-led initiatives from our San Francisco office.

About the Role

This role sits at the intersection of executive support and operations. You'll carry deep context across the company — leadership trusts you to parse what matters, drive things forward, and make good calls with limited oversight.

If you've ever wanted a role that combines the intensity of a Chief of Staff with the hands-on ownership of running a high-growth startup's operations, this is it.

What You'll Do
  • Operate as an extension of leadership — maintain deep context across GTM, product, and company strategy. Be a sounding board, a forcing function for clarity, and someone who makes sure important things don't stall

  • Triage and prioritize across the C-suite — parse what's urgent, surface what needs attention, handle what you can directly, and bring structure to the chaos

  • Support GTM operations — help optimize sales processes, maintain CRM hygiene, build dashboards, track KPIs, and provide insights to leadership

  • Coordinate cross-functional projects — lead initiatives that span sales, marketing, recruiting, workplace, culture, and product when they need someone to drive them

  • Support recruiting initiatives — coordinate long-courting logistics, manage scheduling for key hires, and ensure a seamless onsite experience

  • Drive process improvement — you see broken workflows and fix them. You build systems that scale, not just ones that work today

  • Handle the unexpected — urgent, ambiguous, important things come up constantly. You care deeply about the company and make yourself available when it matters

Who You Are
  • 3+ years of experience as an operator in a high-trust role — ideally at a high-growth startup or in consulting/banking/VC

  • You're intense and organized — you can derive clarity from dozens of simultaneous workstreams, prioritize effectively, and execute with little oversight

  • Excellent communicator who can engage with leadership, enterprise customers, investors, and cross-functional partners

  • Low ego, high agency — you do whatever needs doing and you don't wait to be asked - no task is too big or too small.

  • Strong judgment and discretion with sensitive information

  • Comfortable with modern tools and AI — you look for ways to automate and move faster

  • Understanding of enterprise software and AI/ML market dynamics is a plus

  • Based in or able to relocate/commute to San Francisco

This is a full-time, in-person role in San Francisco. In addition to premium healthcare benefits (medical, dental, vision), we also offer fertility benefits and a monthly wellness stipend to all of our employees.

Skills Required

  • 2+ years of experience as an executive assistant or in a similar role
  • Excellent communication and organizational skills
  • Strong ownership and ability to operate with little direction
  • Comfortable in a fast-moving, high-growth startup environment
  • Strong people instincts
Am I A Good Fit?
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The Company
San Francisco, , California
86 Employees
Year Founded: 2021

What We Do

Exa was built with a simple goal — to organize all knowledge. After several years of heads-down research, we developed novel representation learning techniques and crawling infrastructure so that LLMs can intelligently find relevant information.

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