Full-Time

Business Operations Associate

Periodic Labs

Periodic Labs

51-200 employees

AI-driven materials discovery and design

Compensation Overview

$180k - $200k/yr

H1B Sponsorship Available

Menlo Park, CA, USA

In Person

Category
Business & Strategy (1)
Required Skills
Data Analysis
Financial Modeling
Requirements
  • A degree in physics, mathematics, engineering, or another rigorous quantitative discipline from a top university — or an equivalent track record that demonstrates the same caliber of thinking
  • 7+ years of experience in a high-velocity environment: a startup, investment firm, consulting practice, research lab, or similarly demanding setting
  • Exceptional analytical ability — you can build a model, stress-test an assumption, and communicate the answer clearly in the same afternoon
  • Outstanding written and verbal communication skills; you write with clarity and economy and can synthesize complexity into something leadership can act on
  • High agency and a bias toward action — you identify what needs to happen, pick up the context you need, and get it done without waiting to be asked twice
  • Comfort with ambiguity and a track record of creating structure where little exists
  • Genuine curiosity about science, technology, and the mission of Periodic Labs
  • Impeccable discretion and professionalism when working with sensitive information at the executive level
  • Minimum education: Graduate degree or an equivalent combination of education and training or experience
  • Location: Menlo Park or San Francisco but flexible based on role
  • Visa sponsorship: Yes, we sponsor visas and will assist in this process with our legal support.
Responsibilities
  • Partner directly with founders and senior leaders on strategic planning, operational priorities, and high-stakes decisions — context-switching across the full breadth of the company’s needs
  • Own and manage critical cross-functional projects end-to-end, from scoping through execution and retrospective, often operating with a high degree of ambiguity and no prior template
  • Build frameworks, models, and analyses that drive company decisions — headcount planning, resource allocation, OKR tracking, vendor assessments, and more
  • Support the operating cadence of the company: leadership meetings, board prep, offsites, and key internal communications
  • Identify process gaps and inefficiencies across the organization and design lightweight systems to address them — acting as an internal consultant and operator simultaneously
  • Support finance and business operations: budgeting, vendor contracts, spend tracking, and coordination with legal and finance partners
  • Assist in preparing external materials — investor updates, partnership decks, and strategic narratives — with precision and polish
  • Take on ad hoc research and analysis across scientific, market, or operational topics, synthesizing findings into clear recommendations for leadership
Desired Qualifications
  • A physics, chemistry, or materials science background with research experience — you understand how scientific organizations think and operate
  • Prior experience in management consulting, investment banking, venture capital, or a high-growth startup in an analytical or operational role
  • Experience building financial models, running quantitative analyses, or supporting strategic planning processes
  • Exposure to AI, deep tech, or research-driven companies and familiarity with the rhythms of a technical team
  • Demonstrated ability to move from 0 to 1 on a project — you’ve built something from scratch and seen it through

Periodic Labs uses AI to model, predict, analyze, and design new materials. Its platform studies material properties and high-throughput data to propose viable compositions, structures, and processing methods that meet performance targets. By training models on large scientific datasets and running simulations, the company speeds up discovery and lowers costs compared with traditional lab work, drawing on founders’ experience from OpenAI and DeepMind. The goal is to accelerate the discovery of materials for clean energy, better semiconductors, and resilient manufacturing, differentiating itself through deep AI expertise applied specifically to materials science and potential collaboration with major AI groups.

Company Size

51-200

Company Stage

Seed

Total Funding

$300M

Headquarters

San Francisco, California

Founded

2025

Simplify Jobs

Simplify's Take

What believers are saying

  • Raised $300M seed in September 2025 from a16z, Nvidia, Bezos, and others valuing at $1.5B.
  • Secured partnerships with semiconductor makers improving chip heat dissipation since October 2025.
  • In talks for hundreds of millions at $7B valuation as of early 2026.

What critics are saying

  • DeepMind's GNoME dataset from Cubuk's 2023 project blocks replication in 6-12 months.
  • Matlantis launches superior simulations in Q1 2026, undercutting chip partnerships.
  • Commerce export controls halt Nvidia AI chip supply in March 2026.

What makes Periodic Labs unique

  • Founders Liam Fedus and Ekin Dogus Cubuk combine OpenAI and DeepMind expertise in AI materials science.
  • Builds autonomous robotic labs running thousands of experiments daily with gigabytes of unique data.
  • Deploys AI agents with physical labs for semiconductors, space, defense, and nuclear fusion applications.

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Your Connections

People at Periodic Labs who can refer or advise you

Benefits

Professional Development Budget

Growth & Insights and Company News

Headcount

6 month growth

0%

1 year growth

-8%

2 year growth

-8%
TechCrunch
Sep 30th, 2025
Former OpenAI and DeepMind researchers raise whopping $300M seed to automate science  | TechCrunch

Periodic Labs has raised from a tech industry who's who, including Andreessen Horowitz, Nvidia, Elad Gil, Jeff Dean, Eric Schmidt, and Jeff Bezos.

Bloomberg L.P.
Aug 8th, 2025
Ex-OpenAI, DeepMind Staffers Set for $1.5 Billion Value in Andreessen-Led Round

Venture firm Andreessen Horowitz has agreed to lead a $200 million investment in Periodic Labs, a new startup building artificial intelligence for material science, according to people familiar with the matter.