Senior/Staff Product Manager - Internal Automations

Engine is the modern travel platform for booking and managing work trips. It saves businesses time and money through an intuitive travel network that connects to nearly every hotel, airline, and car rental company in the U.S. It offers single invoice billing, the flexibility to modify trips at any time without sunk costs, and a unified view of all company travel and spend. Customers rely on Engine to not only make travel easier to manage, but to make it enjoyable for everyone involved. The company is backed by Telescope Partners, Blackstone, Elefund and Permira. Learn more at www.engine.com.

Your Mission

At Engine, we're reimagining business travel from the ground up. As a Product Manager focused on AI experiences, you'll play a key role in shaping how Engine will leverage AI across the business. You'll help us craft intuitive, data-driven, and personalized experiences that deliver measurable impact for both our customers and the business.

What You'll Do 

• Define and Drive Product Strategy
  • Shape a compelling product vision for the business in how we add AI internally for efficiency gains and adding 3rd party AI tools across all departments in the company.
• Collaborate Across Functions
  • Work closely with engineers, designers, data teams, and business stakeholders to define and ensure Engine is adopting AI everywhere we can.
  • Foster inclusive team discussions and champion shared goals across multiple workstreams.
• Deliver Impactful Solutions
  • Lead the design and rollout of scalable AI systems—from improving internal workflows to finding tooling to increase efficiency in sales, marketing, finance, HR, and more.
• Use Data to Inform Decisions
  • Combine customer research, behavioral insights, and experimentation to guide decision-making and optimize outcomes.
  • Run experiments and continuously test and iterate to ensure our solutions are delivering maximum value.
• Communicate with Clarity
  • Translate complex ideas into clear, actionable plans.
  • Keep teams and stakeholders aligned by telling compelling stories around the "why" behind product priorities and trade-offs.

What You'll Bring 

Technical Expertise & Experience

• AI/ML Foundation: 5+ years in product management with hands-on experience in AI/ML product development, including understanding of LLMs, neural networks, training pipelines, and model deployment at scale.
• Technical Proficiency: Strong grasp of AI technologies including natural language processing, computer vision, recommendation systems, and conversational AI. Familiarity with frameworks like TensorFlow, PyTorch, or cloud AI services (AWS SageMaker, Google AI Platform, Azure ML).
• API & Integration Experience: Understanding of REST APIs, GraphQL, webhooks, and third-party integrations. Experience with AI API providers (OpenAI, Anthropic, Cohere, etc.) and managing rate limits, latency, and cost optimization.
• Data Architecture Knowledge: Proficiency in data pipelines, ETL processes, vector databases, and data warehousing. Understanding of data privacy, governance, and compliance requirements (GDPR, CCPA) in AI contexts.

Technical Product Management Skills

• System Design & Architecture: Ability to design scalable AI systems, understand microservices architecture, and make informed technical trade-offs between performance, cost, and functionality.
• Security & Compliance: Knowledge of AI safety, model governance, bias detection, and security best practices for AI applications.

Cross-Functional Leadership

• Engineering Collaboration: Proven track record of working with engineering teams on complex technical implementations, understanding development cycles, and making data-driven prioritization decisions.
• Stakeholder Management: Strong ability to translate technical concepts to non-technical stakeholders and influence across teams without direct authority.
• Systems-Centered Thinking: Deep empathy for internal employees combined with solid understanding of system design and first principle thinking.

Strategic & Analytical Mindset

• Data-Driven Decision Making: Advanced experience using experimentation, A/B testing, and statistical analysis to validate hypotheses and inform roadmap decisions.
• ROI & Performance Optimization: Track record of measuring and improving key AI product metrics including model accuracy, inference latency, user engagement, and business impact.
• Mindset: Curious, outcomes-oriented, and adaptable. You combine strategic thinking with a hands-on technical approach and thrive in dynamic, fast-paced environments where you can dive deep into technical details when needed.

Compensation
Our compensation packages are based on several factors, including your experience and expertise. In addition to a competitive base salary, total compensation may include equity and/or variable pay (OTE). Your recruiter will share your complete compensation package as you move through the process.

The Engine Edge: Perks & Compensation
We believe in rewarding great work with great benefits:

• Compensation: Competitive base pay tied to role and experience, with opportunities for bonuses, commissions, and equity.
• 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.

Ready to Build the Future of Work Travel?
Join us on our mission to transform how work travel works—for businesses, for travelers, and for the industry. Apply now and let’s make travel simpler, smarter, and more enjoyable—together.