AI Ops Lead - Forward Deploy

Mercury Technologies, Inc.; San Francisco, Northern (CA, KY); Hybrid; USD 180,000 - 225,000; Full time

Job summary

Mercury Technologies, Inc. is seeking an AI Operations lead to embed with teams, learn workflows deeply, and identify where AI can deliver measurable improvements. You will partner with functional leaders to define success metrics and build AI-powered workflows and internal tools leveraging Mercury's AI Engineering platform.

The role sits at the intersection of builder, operator, and change agent. You will drive adoption through training, documentation, and durable handoffs, ensuring teams have

Qualifications

• 4–7 years in roles owning a business outcome end to end.
• Hands-on experience building with AI: agents, workflows, automations, internal tools.
• Able to define KPI, plan, and build in ambiguity and defend to a team lead.
• Fluent with APIs, SQL, and low-code/no-code, and able to communicate clearly.

Responsibilities

• Embed with Mercury teams and identify where AI could improve outcomes.
• Partner with leaders to define success metrics before building.
• Build and ship AI-powered workflows, automations, and internal tools.
• Test and iterate until measurable results are achieved.
• Lead change management: training, documentation, and ongoing support.
• Create durable handoffs and leave reliable tools and owners.

Skills

Management consulting

Business operations

Product operations

AI experience

APIs

Low-code/no-code

SQL

KPI definition

Change management

Tools

APIs

Low-code platforms

SQL

Job description

San Francisco, CA, New York, NY, Portland, OR, or Remote within Canada or United States

Mercury is building the financial stack for startups. We're working to make complex financial workflows feel simple, thoughtful, and perhaps even a little magical. You can see some of this in action in our demo dashboard .

Most AI initiatives don't stall because the models aren't capable or the tools don't exist. They stall at the last mile: a promising solution gets built, but the way a team works never really changes. AI Operations exists to close that gap. 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. You'll determine what makes an embed successful, how long it should last, what a durable handoff requires, and how AI Operations should decide where to focus next. 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.

Mercury aims to make banking* feel secure, reliable, thoughtful, and perhaps even magical. Your job will be to make the way Mercury works internally feel just as considered.

You will:

• 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.

You should:

• 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.

Mercury values diversity & belonging and is proud to be an Equal Employment Opportunity employer. All individuals seeking employment at Mercury are considered without regard to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, sexual orientation, or any other legally protected characteristic. We are committed to providing reasonable accommodations throughout the recruitment process for applicants with disabilities or special needs. If you need assistance, or an accommodation, please let your recruiter know once you are contacted about a role.

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.

Our target new hire base salary ranges for this role are the following:

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