AI Ops Lead - Forward Deploy

About the role

We're looking for a forward-deployed lead to embed deeply with teams across Mercury, understand their work, and turn AI's potential into measurable improvements. You'll spend a few months at a time partnering closely with a particular function, identifying constraints, building AI-powered workflows, and ensuring the new way of working sticks.

Responsibilities

• Embed with teams across Mercury to deeply understand their work and identify where AI could meaningfully improve a business outcome.
• Partner with functional leaders to define clear measures 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.
• 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.

Qualifications

• Fluent in plain language and able to communicate technical concepts to non-technical stakeholders.
• Experience with change management and the ability to facilitate adoption of new processes and technologies.
• Strong analytical skills to identify and solve problems effectively.
• Ability to work independently and manage multiple tasks simultaneously.
• Passion for using technology to drive meaningful change in organizations.

Skills

• Strong understanding of AI and machine learning principles.
• Experience with AI engineering platforms and tools.
• Proficiency in API development and integration.
• Knowledge of low-code/no-code automation tools.
• SQL and database management skills.

Benefits

• Competitive total rewards package including base salary, equity (stock options/RSUs), and benefits.
• Flexible work arrangements, including remote work options.
• Opportunities for professional growth and development.
• Work in a dynamic, innovative fintech environment.

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

• Full-time position.