Have 4–7 years of experience in management consulting, business operations, product operations, or a similar role where you owned a business outcome end to end — not just a project plan
Have hands-on experience building with AI: agents, workflows, automations, internal tools. Not just using AI products day to day
Be comfortable defining your own KPI, plan, and build in ambiguity, then defending all three to a skeptical team lead
Be fluent enough with tooling (APIs, low-code and no-code builders, SQL) to know what's feasible, and fluent enough in plain language to sell it to a team that didn't ask for a new tool
Mercury is a fintech company, not an FDIC-insured bank. Banking services provided through Choice Financial Group and Column N.A., Members FDIC
Total Rewards
The total rewards package at Mercury includes base salary, equity (stock options/RSUs), and benefits
Our salary and equity ranges are highly competitive within the SaaS and fintech industry and are updated regularly using the most reliable compensation survey data for our industry. New hire offers are made based on a candidate’s experience, expertise, geographic location, and internal pay equity relative to peers
US employees in New York City, Los Angeles, Seattle, or the San Francisco Bay Area
US employees outside of New York City, Los Angeles, Seattle, or the San Francisco Bay Area
$170,300—$212,800 CAD
Our target new hire base salary ranges for this role are the following
$180,200—$225,200 USD
$162,200—$202,700 USD