Senior Product Manager, Applied AI

Engine; United States; Hybrid; USD 154,000 - 213,000; Full time

Benefits offered by this job

Equity

Hybrid-hub model

Job summary

Engine is the AI-native platform for intelligent travel, powering internal tooling across business units and accelerating how teams work.

You will join the Applied AI team as an embedded Product Manager, shadowing workflows, mapping steps, and shipping automation that handles hundreds of thousands of support cases with AI and agents.

Success means first workflows mapped, baselined metrics signed off, a live version with users, and a growing embed playbook for future PMs.

Qualifications

• 4+ years in product management, ideally on internal tools, operations or workflow products, with at least one AI or automation product in production.
• Mapped a messy business process, found steps that cost time and removed them.
• Able to baseline a cycle time, define a sign-off metric, and consider costs including model spend and engineering time.

Responsibilities

• Shadow the work, map each step, handoff and wait to understand where time goes.
• Pick a workload at a time, starting with high-volume, repetitive steps; decide what goes next and say no to the rest.
• Get sign-off on a cycle time or unit metric before building; measure the baseline.
• Build and ship automation with engineering to replace manual work at scale, using AI tools and agents.
• Scope and roll out: define the first version, target users, and how it reaches the function.
• Hand off: define what it looks like for the function to run the workload without you with a named owner.
• Make the kill call: if metric doesn't move, propose a fix or a stop with a deadline.

Skills

Product management

Internal tools

AI/automation product

Process mapping

Measurement/metrics

AI fluency

Influence

Job description

Engine is the AI-native platform for intelligent travel. For a decade, Engine has built the proprietary technology and supply behind modern business travel, serving over 40,000 customers and nearly 2 million travelers, along with leading travel and AI companies that build on Engine's infrastructure. One system powers business travel, group travel, human agents, and AI agents.
That work has earned recognition as one of Fast Company's Best Workplaces for Innovators (2025), TravelTech's Reservation Platform of the Year (2026), and one of Built In's Best Places to Work (2020-2026).
We're looking for bold, ambitious people to help redefine how businesses manage and experience travel. Working here, you can expect exponential growth, an ambitious pace, full ownership, and high-caliber colleagues who push you to do the best work of your career. Every hire raises the bar.
Come outpace the ordinary and build the future of travel with us.

Background

We’ve spent the last two years getting ahead in AI and our customers see it. It’s showing up in our product, our pace of innovation, and our gross margin. Now we’re putting centralized firepower behind it.

We’re launching two teams: Applied AI, focused on transforming how work gets done, and AI Platform, building the tools and infrastructure to scale it. Together, they’ll sharpen how we measure impact, deploy tooling, and set expectations across Engine, taking what’s already a competitive advantage and making it our operating advantage.

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.
• Pick the workload: 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.
• Lock the metric: Before anything gets built, get the functional leader to sign off on a cycle time or unit metric, and measure the baseline.
• Build and ship: 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.
• Scope and roll out: Define the first version you can ship, who uses it first and how it reaches the rest of the function.
• Hand it off: Define what it looks like for the function to run the workload without you, with a named owner inside the function.
• Make the kill call: If the metric doesn't move, come back with a fix or a decision to stop, with a deadline.

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.

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

$153,935 - $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.
• 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.