Senior Product Manager, Applied AI

Responsibilities

• Take on one workload at a time, starting with the steps that are repetitive, high-volume and the most time-consuming. You and the functional leader decide what goes next, and you say no to the rest.
• Before anything gets built, get the functional leader to sign off on a cycle time or unit metric, and measure the baseline.
• Work with engineering to design and ship automation that replaces manual work at Engine's scale, which includes hundreds of thousands of support cases. Use AI tools and agents to speed up your own analysis, prototyping and documentation.
• Define what it looks like for the function to run the workload without you, with a named owner inside the function.
• If the metric doesn't move, come back with a fix or a decision to stop, with a deadline.

Your Mission

You'll build the automation that powers how Engine runs behind the scenes. This is internal tooling, not a consumer-facing product. The goal is to make teams across the business dramatically faster and more scalable. As an embedded Product Manager on the Applied AI team, you'll sit inside one of Engine's business functions. You'll find the manual steps that slow the work down and get them automated. Here's what you'll own:

Map the work

Shadow the people doing the work and map each step, handoff and wait, so you know where the time goes.

Scope and roll out

Define the first version you can ship, who uses it first and how it reaches the rest of the function.

Make the kill call

What You'll Bring to Engine

We're looking for someone who's ready to make an impact and grow alongside us:

Experience

4+ years in product management, ideally on internal tools, operations or workflow products, with at least one AI or automation product in production.

Process instincts

You've mapped a messy business process, found the steps that cost the most time and removed them.

Operator comfort

You're happy spending your first weeks shadowing support agents or accountants, and you judge success by whether the work got faster.

Measurement

You can baseline a cycle time, define a metric a business leader will sign off on, and account for the costs, including model spend and engineering time.

AI fluency

You understand what LLMs and agents do well, where they fail, and how evals and human review fit into a workflow.

Influence

You earn trust with leaders who don't report to you, and you hold the line on scope when everyone wants something different.

Success in the First Six Months

• The function's key workflows are mapped, showing where the time goes.
• The first workload is chosen, and its metric is signed off and baselined before the build starts.
• The first version is live with real users, and cycle time is dropping.
• What you've learned has gone into the embed playbook that the next embedded PM will start from.
• Applications for this role will be accepted through 12/20/2026 until the role is filled. We encourage you to apply early, as we may begin reviewing applications before the deadline.

Compensation

Our compensation packages are based on several factors, including your experience, expertise, and location. In addition to a competitive base salary, all roles receive equity. Depending on the role, total compensation may also include an annual bonus. Your recruiter will share your complete compensation package as you move through the process.

Base Pay Range

• $181,100
• $213,000 USD
• The Engine Edge: Perks & Compensation
• We believe in rewarding great work with great benefits:

Compensation

Competitive base pay tied to role and experience, with equity for all employees. Some roles are also eligible for bonuses or commissions.

Benefits

Check out our full list at engine.com/culture

Environments for Success

Different roles have different needs in terms of the environments that drive success which is why we have a hybrid-hub model. Whether you are in one of our amazing offices or fully remote, we'll make sure you have what you need to succeed.

Perks and benefits may vary based on employment type, location, and more