Forward Deployment AI Product Builder (Enterprise Deployment)

Presto•San Mateo, CA

20h•Hybrid

About The Position

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.

Requirements

4+ years of experience working closely with engineering teams in product management, technical program management, or engineering leadership roles
Strong experience coordinating complex cross-functional projects in fast-moving technology environments
Strong technical background with experience building or launching complex software or AI systems
Experience working with AI products, voice systems, conversational AI, or automation platforms
Strong systems thinking and comfort working across APIs, integrations, and distributed systems
Experience delivering production software in fast-moving startup environments
Ability to translate real-world operational problems into technical product requirements
Proven ability to drive projects across teams through influence rather than authority
Exceptional organizational, communication, and stakeholder management skills
A can-do attitude that is aligned with our core values of positivity, pace, and product magic
Strong problem-solving mindset and ability to navigate ambiguity
Excellent communication skills and ability to work effectively with both technical and non-technical stakeholders
Strong ownership mindset and ability to drive outcomes in ambiguous environments

Nice To Haves

Experience deploying enterprise software or AI systems into real-world operational environments
Background in restaurant technology, retail technology, or operational systems
Familiarity with conversational systems such as voice assistants, chatbots, IVR, or automation workflows
Experience deploying enterprise software or AI platforms at scale
Familiarity with restaurant technology, POS systems, or retail technology environments
Previous experience working with enterprise customers on complex technology deployments

Responsibilities

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
Improve AI system performance in production
Monitor AI agent performance in real-world deployments and identify opportunities to improve system reliability and accuracy
Analyze production data and customer feedback to drive product improvements
Partner with conversational design and AI research teams to refine agent behavior and system performance
Build scalable deployment frameworks
Develop repeatable technical patterns and deployment playbooks for future enterprise rollouts
Help evolve Presto's platform architecture to support large-scale AI deployments
Contribute to long-term product strategy for enterprise AI deployments