Executive Assistant

Reposted 3 Days Ago
Berkeley, CA, USA
Hybrid
90-110 Annually
Entry level
Financial Services • Generative AI
Rational Dynamics builds customized AI reasoning systems for tasks of high cognitive complexity.
The Role
The Executive Assistant will support C-Suite executives, manage calendars, facilitate meetings, coordinate travel, and handle sensitive information.
Summary Generated by Built In

The Company

Rational Dynamics builds customized AI reasoning systems for tasks of high cognitive complexity.

Our initial market is the world’s leading institutional asset owners. We work very closely with these customers to create specialized, rigorous benchmark datasets encompassing their most valuable and difficult knowledge work. Then we use the benchmarks to construct agentic large reasoning models, applying the same rigor to prove that the models correctly do the work. Customers access the models through a tailored application service, making their most skilled, expensive workers dramatically more productive.

We are an early-stage startup. Our founders previously started Voleon, now one of the world’s largest systematic investment managers, and recognized as a longstanding industry leader in applied machine learning. They bring to Rational Dynamics the same research discipline and data-driven focus that succeeded in the unforgiving, high-stakes setting of financial markets.

Job description
As an Executive Assistant, you will support multiple C-Suite executives at a fast-moving tech startup. Beyond day-to-day support, you will own operational initiatives, exercise high-judgment decision-making, and act as a strategic extension of the executives. This role offers a unique opportunity to work closely with experienced leaders and contribute to building a company from the ground up.

Duties

  • Anticipate C-Suite executive needs and proactively drive solutions.
  • Manage complex executive calendars and coordinate on-site meetings.
  • Facilitate external meetings with clients, partners, and other key stakeholders.
  • Coordinate domestic and international travel.
  • Lead project management and liaise with stakeholders across the organization (e.g., office management).
  • Handle confidential and sensitive information with the highest level of discretion.

Requirements

  • Strong organizational, written, and verbal skills with meticulous attention to detail.
  • Ability to work onsite Tuesday-Thursday, with flexibility to come in on other days as needed.
  • Authorization to work in the United States.
  • Ability to lift up to 15 pounds.

Preferred qualifications

  • Demonstrated experience supporting multiple C-Suite executives.
  • Bachelor's degree preferred.
  • Experience in a fast-paced tech startup environment.

“Friends of Rational Dynamics” Candidate Referral Program
If you have a great candidate in mind for this role and would like to have the potential to earn $7,500 if your referred candidate is successfully hired and employed by Rational Dynamics, please use this form to submit your referral. For more details regarding eligibility, terms and conditions please make sure to review the Rational Dynamics Referral Bonus Program.

Equal Opportunity Employer
Rational Dynamics is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

Skills Required

  • Strong organizational, written, and verbal skills with meticulous attention to detail
  • Ability to work onsite Tuesday-Thursday, with flexibility to come in on other days as needed
  • Authorization to work in the United States
  • Ability to lift up to 15 pounds
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The Company
7 Employees
Year Founded: 2025

What We Do

Our initial market is the world’s leading institutional asset owners. We work very closely with these customers to create specialized, rigorous benchmark datasets encompassing their most valuable and difficult knowledge work. Then we use the benchmarks to construct agentic large reasoning models, applying the same rigor to prove that the models correctly do the work. Customers access the models through a tailored application service, making their most skilled, expensive workers dramatically more productive.

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