Sr. AI Deployment Manager

Dialpad • Tempe, US • 3w ago

Why This Job is Featured on The SaaS Jobs

Why this Role is Featured on The SaaS Jobs

This Sr. AI Deployment Manager role sits at a key inflection point in SaaS: moving from selling software features to operationalising autonomous, agentic systems inside enterprise workflows. The listing signals a services-led deployment motion, where customer outcomes depend on translating messy real-world processes into reliable system behaviour and then proving it with measurable criteria. In the current SaaS landscape, that blend of delivery discipline and AI-specific risk management is becoming a differentiator, especially as buyers scrutinise safety, governance, and time-to-value.

From a career standpoint, the work builds durable SaaS skills around implementation leadership, cross-functional orchestration, and adoption in complex accounts. Managing RAID, UAT, and KPI definition for non-deterministic systems develops judgement that transfers across modern SaaS categories, including enterprise AI, data platforms, and workflow automation. The emphasis on guardrails, evaluation datasets, and integration coordination also maps closely to emerging best practices for deploying AI responsibly in production.

The section above is editorial commentary from The SaaS Jobs, provided to help SaaS professionals understand the role in a broader industry context.

Job Description

Your role
As an AI Deployment Manager, you will lead the end-to-end delivery lifecycle of autonomous AI systems for our enterprise customers. Unlike traditional software, agentic AI involves non-deterministic logic and complex multi-step reasoning. You will lead a "Deployment Pod" consisting of Forward Deployed Engineers and AI Deployment Engineers to ensure our agents don't just "talk," but actually "do" work safely and effectively.

Your mission is to manage the RAID (Risks, Assumptions, Issues, Dependencies) of autonomous systems, ensuring that every deployment has clear guardrails, measurable KPIs, and high user adoption.

Reporting to the Manager of Partner Professional Services, this is a hybrid role (3 days per week) based in our Tempe office.

What you'll do

Pod Leadership: Orchestrate a cross-functional team (FDEs, Architects, and Data Scientists) to deliver complex multi-agent systems.
Scoping & Discovery: Work with customers to map their manual business processes (e.g., "Inbound Lead Qualification") into structured agentic "Skills" and "Tasks."
Risk & Guardrail Management: Lead the "Safety Review" of every deployment. Ensure agents have clear limits on their authority (e.g., "The agent can draft an email but cannot hit 'Send' without human approval").
Evaluation & UAT: Define the "Gold Dataset" (the ground truth) for User Acceptance Testing. Manage the process of "grading" AI performance to ensure the agent meets the customer's accuracy requirements before go-live.
Integration Coordination: Oversee the mapping of agent tool-calling to connectors (CRM, ERP, Billing systems), ensuring security and data privacy standards are met.
Change Management: Partner with customer business leads to help showcase the value of our Agents to increase adoption.
Ensure Success: Define success criteria, capture appropriate data, and report out on successes and failures.

Skills you'll bring

Experience: 5+ years in Technical Project Management, preferably in SaaS, CCaaS, or Enterprise AI.
AI Literacy: You understand the difference between a simple Chatbot and an Agent. You are comfortable discussing "Context Windows," "Hallucination Rates," and "Inference Costs."
Agile/Hybrid Mastery: Experience running sprints in a world where AI logic can be unpredictable. You know how to pivot when an agent's reasoning path fails during testing.
Stakeholder Management: The ability to explain to a non-technical customer why an AI made a specific "mistake" and how the team is adding a "control" to prevent it.
Scrappy: You thrive in ambiguity, take full ownership of outcomes, and are driven by delivering tangible, measurable results for the customer, often working under tight timelines.
Culture Builder: You contribute to a dynamic team culture, focused on high-growth industry innovation, team collaboration, customer success, and having fun!