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Forward Deployment AI Product Builder; Enterprise Deployment

Job in San Mateo, San Mateo County, California, 94409, USA
Listing for: Presto
Full Time position
Listed on 2026-04-23
Job specializations:
  • IT/Tech
    Systems Engineer, AI Engineer (Applied/Software), IT Project Manager, Cloud Computing: Infrastructure & Operations
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below
Position: Forward Deployment AI Product Builder (Enterprise Deployment)

About Presto Phoenix, Inc.

Presto is the leading Voice AI company for restaurant drive-thrus, operating at scale in complex, noisy, customer-facing environments. As the AI partner to more than a dozen of the most iconic American restaurant brands, Presto is building one of the most impactful real-world applications of AI that directly impacts revenue, labor efficiency, and a magical guest experience for millions of people.

AI is not a feature at Presto; it is the foundation of how we build, evaluate, and evolve our products. We operate at lightning-speed iteration cycles and are solving some of the hardest problems in Voice AI. We are backed by Remus Capital, were a Y Combinator company, and are headquartered in Silicon Valley.

This may not be the right fit for you if you are looking for a traditional 9-to-5 environment. We move at the pace of AI and work relentlessly to win our market. Change is constant, and roadmaps evolve quickly. Presto is for builders, experimenters, and problem-solvers who thrive in ambiguity, learn continuously, and are excited to shape the future of real-world AI alongside a high-performance team.

The Role

We are looking for a Forward Deployed AI Product Manager to lead the technical development and deployment of Presto's Voice AI platform for one of our largest enterprise restaurant partners in the United States.

This is a high-impact technical leadership role at the intersection of AI product development, engineering execution, and enterprise deployment. You will work directly with engineering teams and with the customer to design, build, and launch AI agent capabilities that operate at national scale across hundreds or thousands of restaurant locations.

Every enterprise rollout is effectively a large-scale product launch. Each restaurant environment introduces unique workflows, integration requirements, operational constraints, and real-world edge cases that our AI systems must successfully handle.

In this role, you will lead engineering teams and cross-functional partners to translate operational requirements into scalable AI systems, guide technical decisions during deployment, and ensure our platform performs reliably in complex real-world environments.

Success in this role requires technical depth with a bias toward rapid building and iteration, the ability to lead engineering execution, and the judgment to balance product innovation with real-world operational reliability.

What You’ll Do
Lead technical execution for a flagship enterprise deployment
  • Own the technical delivery of Presto's Voice AI platform for one of our largest national restaurant partners
  • Lead engineering teams in building, launching, and scaling AI agent capabilities across a nationwide deployment
  • Act as the product and technical lead responsible for successful rollout and performance of the platform
  • Ensure AI systems operate reliably across real-world restaurant environments at scale
Drive product development with engineering teams
  • Partner closely with AI, ML, and platform engineering teams to design and deliver new capabilities required for enterprise deployments
  • Define technical requirements, system behaviors, and product priorities based on customer workflows and operational constraints
  • Guide engineering teams through complex design tradeoffs between system performance, reliability, and product velocity
  • Translate real-world operational challenges into engineering roadmaps and technical solutions
Translate enterprise workflows into scalable AI systems
  • Work directly with enterprise partners to understand restaurant operations, ordering flows, and edge cases
  • Convert operational requirements into scalable AI behaviors, system integrations, and product features
  • Collaborate with engineering to implement conversation logic, integrations, and system improvements
Lead cross-functional execution across teams
  • Align engineering, product, deployment operations, and customer teams around launch timelines and technical priorities
  • Serve as the primary technical interface between enterprise customers and internal engineering teams
  • Manage complex dependencies across platform, infrastructure, AI models, and deployment operations
I…
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