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Chief Operating Officer

Psi
CompanyPsi
CategoryOperations & Admin
LocationBoston
RemoteHybrid
EmploymentNot stated
LevelExecutive
SalaryNot stated by the employer
Posted23 Jun 2026
Last verified3 Aug 2026
SourceEmployer ATS (ashby)
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Description
CHIEF OPERATING OFFICER OVERVIEW Physical Superintelligence is an exceptionally well-funded seed-stage startup with roots at Google, Meta, DeepMind, NVIDIA, Citadel, Harvard, MIT, Johns Hopkins, the Perimeter Institute, and the Institute for Advanced Study building AI systems to discover new physics at scale. We are seeking a Chief Operating Officer to serve as a strategic partner to the CEO, to build the operating backbone of the company, and to run PSI itself as a tightly integrated, agent-augmented organization. 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. We're creating the infrastructure to industrialize scientific discovery and usher in this new era. ROLE AND RESPONSIBILITIES Operations is the enabling layer that runs underneath the company, and you own it. You sit on a lean executive team and are expected to think and act at the level of the company, not only your function. The role concentrates on four core areas. Scale the team. Own hiring operations and help PSI scale headcount 2-3x as it grows toward Series A. Own performance management. Bring order to rapid growth without slowing it. 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. Set the operating cadence: own the planning, reporting, and decision rhythm, and run the operating reviews. Take the things that fall between functions and own them. Build the systems where they do not yet exist, and integrate heterogeneous tools into coherent workflows. Run operations AI-first. This is non-negotiable: you are, or are willing to become, completely AI-native, fluent across the current frontier models and the best existing agent and automation tooling, and you keep pace as they change. Instrument the company end to end and deploy agentic workflows across every operating function so that output per person scales faster than headcount. 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. Scale commercial operations. Partner with GTM leadership to define and scale the operational and staffing requirements for our commercial function. As we transition from research-heavy to commercial engagement, you will bridge the gap between technical output and revenue generation, building the processes and hiring the operational talent necessary to ensure our delivery and support systems scale effectively in lockstep with revenue growth. Across these areas you also act as a thought partner and force multiplier for the CEO, pressure-testing priorities and providing the decision support a founder needs to run a company moving this fast, freeing the CEO to focus on strategy, fundraising, and external relationships. WHAT WE'RE LOOKING FOR Agentic, hands-on. You are ready to build, orchestrate, and operate multi-agent workflows. You are familiar with current agent frameworks and you think in terms of what to automate and how to compose agents into reliable workflows. An instinct to instrument. 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. A builder of internal systems. You have owned a company's knowledge base, internal tooling, and workflow integration, and you think about the organization as a control s