Business Operations

Plaid•San Francisco, CA

17h•$162,000 - $237,000

About The Position

The BizOps team is focused on solving some of Plaid's most pressing business issues. We are a small team of high-impact, low-ego generalist problem solvers. This role partners directly with leaders across Product and GTM on a mix of strategic and operational work with a direct, quantifiable impact on our customers, partners, and P&L. You will work on problems that directly shape how Plaid operates across its largest revenue lines and most critical partnerships — owning analysis, operating cadences, and cross-functional projects that span Product, GTM, Engineering, Finance, Legal, and Partnerships. BizOps is a launchpad: past team members have gone on to leadership roles in Product, GTM, and operational functions across Plaid. The role requires someone who is highly analytical, approaches problems in a structured manner, and is proactive in the face of ambiguity.

Requirements

6–11 years in management consulting, investment banking, and/or operating roles (BizOps, Strategy & Ops, Finance)
Comfort with ambiguity and a high degree of autonomy in prioritizing what matters most
Ability to build relationships at all levels and drive cross-functional consensus

Nice To Haves

Familiarity with AI tools and agents to accelerate workflows is a plus
Knowledge of SQL and Tableau preferred
Experience in fintech, payments, or high-growth SaaS preferred

Responsibilities

Driving the strategic and operational agenda for a Product or GTM organization — and the cross-functional initiatives that come with it
Owning foundational operating rhythms — monthly business reports, QBRs, OKRs and KPIs, executive reporting — and evolving them as the business scales
Building out dashboards, metrics, and success measures that give leadership visibility and enable data-driven decisions
Partnering on product strategy topics including pricing, commercialization, and go-to-market for new and existing products
Using AI tools and agents as a default part of how you work — not as an experiment, but as a force multiplier