PSI

PSI

Chief Operating Officer

Boston · Exec

Sponsorship not specifiedDetected 29 days ago
SQLRESTProject ManagementCadenceResearchLeadershipCommunication

About the role

  • Our mission is to discover and commercialize transformative physics breakthroughs at scale with artificial superintelligence, safely, verifiably, and for broad public benefit.
  • The last century's golden age of physics gave us transistors, lasers, and nuclear energy.
  • We believe artificial superintelligence will unlock the next one.

Responsibilities

  • Operations is the enabling layer that runs underneath the company, and you own it.
  • Own hiring operations and help PSI scale headcount 2-3x as it grows toward Series A.
  • Own performance management.
  • Own the quality and efficiency of company processes.
  • In coordination with the relevant executives and managers, own the systems the company runs on, including project management, internal and external communication, KPI tracking, legal and compliance, finance, and HR.
  • PSI builds AI systems and should be run as one internally; the goal is to make it the most aggressively agent-augmented organization in its category.
  • Partner with GTM leadership to define and scale the operational and staffing requirements for our commercial function.

Requirements

  • You are familiar with current agent frameworks and you think in terms of what to automate and how to compose agents into reliable workflows.
  • You are obsessed with data analytics.
  • You are comfortable in SQL, BI tooling, and data modeling, and you can stand up the operational analytics layer yourself before there is a team to delegate to.
  • You treat metrics and feedback loops as how an organization should be run, and you can point to an org you have run this way.
  • You have owned a company's knowledge base, internal tooling, and workflow integration, and you think about the organization as a control system.
  • A proven operator.
  • You have built people, compliance, and operating functions, not only inherited mature ones.
  • You can operate as a peer to the CEO and the rest of the executive team and be trusted with the highest-stakes decisions.

Nice to have

  • Experience operating within regulated industries and familiarity with export control compliance and sensitive technology research and development.
  • Experience scaling internal operations, tooling, or platform at a fast-growing deep tech or AI company.
  • A background that blends operating leadership with hands-on technical or data work, rather than a pure people-and-process profile.
  • Our development process is AI-native, and we expect the operating side of the company to run on the same principles.
  • Because of our export control obligations, some responsibilities may carry restrictions tied to citizenship or immigration status, which we will discuss transparently during the process.

Skills

  • Run operations AI-first.

Compensation

  • This role is based in Boston and is on-site at our Cambridge hub.
  • We offer competitive compensation including salary, benefits, and meaningful early-stage equity.
  • We evaluate operating judgment, what you have built, and the leverage you create.
  • Because of our export control obligations, some responsibilities may carry restrictions tied to citizenship or immigration status, which we will discuss transparently during the process.

Company info

  • You sit on a lean executive team and are expected to think and act at the level of the company, not only your function.
  • Instrument the company end to end and deploy agentic workflows across every operating function so that output per person scales faster than headcount.

Equal opportunity

  • We are an equal opportunity employer and value diverse perspectives in building platforms for AI-driven discovery.

Visa & Work Authorization

  • Experience operating within regulated industries and familiarity with export control compliance and sensitive technology research and development

This listing is sourced directly from PSI's careers page and normalized into a canonical job model.