AI Ops Lead - Forward Deploy

About the role

We're looking for a forward-deployed lead who can embed deeply with teams across Mercury, understand how their work actually happens, and turn AI's potential into measurable improvements. You'll spend a few months at a time partnering closely with a particular function. You'll learn the team's work well enough to identify the true constraint—not simply the most tedious task. Then you'll build against it using the tools and infrastructure created by Mercury's AI Engineering team, iterating until the outcome moves and the new way of working sticks. Once it does, you'll make sure the team can carry it forward.

You'll leave behind well-built tools, clear documentation, and confident owners before moving on to the next high-leverage problem. You'll be the first person to bring it to teams across the rest of Mercury, beginning most likely with Compliance. That means you won't just run the playbook—you'll help write it.

Responsibilities

• Embed with teams across Mercury and learn their work deeply enough to identify where AI could meaningfully improve a business outcome.
• Partner with functional leaders to define a clear measure of success before building—whether that means reducing turnaround time, shrinking a backlog, improving quality, or increasing capacity.
• Build and ship AI-powered workflows, automations, and internal tools using AI Engineering's existing platform.
• Test and iterate until the solution produces a measurable result, not simply until it reaches production.
• Lead the change management required to make new ways of working stick, including training, documentation, and ongoing support.
• Create durable handoffs, leaving each team with reliable tools, clear operating documentation, and an accountable owner.

Requirements

• 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.
• Hands-on experience building with AI: agents, workflows, automations, internal tools.
• Comfortable defining your own KPI, plan, and build in ambiguity, then defending all three to a skeptical team lead.
• Fully fluent enough with tooling (APIs, low-code and no-code builders, SQL) to know what's feasible, and fully fluent in plain language to sell it to a team that didn't ask for a new tool.

Qualifications

• Mercury is a fintech company, not an FDIC-insured bank. Banking services provided through Choice Financial Group and Column N.A., Members FDIC.
• Mercy values diversity & belonging and is proud to be an Equal Employment Opportunity employer.

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.
• The total rewards package at Mercury includes base salary, equity (stock options/RSUs), and benefits.

Pay

• US employees in New York City, Los Angeles, Seattle, or the San Francisco Bay Area: $180,200 - $225,200 USD
• US employees outside of New York City, Los Angeles, Seattle, or the San Francisco Bay Area: $162,200 - $202,700 USD
• Canadian employees (any location): $170,300 - $212,800 CAD

Schedule

• This role sits somewhere between builder, operator, and change agent. You'll be responsible for helping teams adopt new workflows through thoughtful implementation, training, documentation, and plenty of iteration.