Director, Platform & AI Architecture

ChargePoint•Campbell, CA

3d•$235,043 - $310,500•Hybrid

About The Position

ChargePoint is seeking a hands-on architectural leader to modernize its enterprise platforms and use AI to reduce procedural friction across the business. The Director will develop a roadmap to eliminate silos among systems such as Salesforce, NetSuite, billing, and customer operations; rationalize redundant commercial SaaS applications; and replace suitable tools with internal AI agents and custom micro-apps. The role will lead AI copilots and agent deployments across Sales, Support, Finance, and Operations, with rigorous governance and safety controls. The Director will also modernize the software development lifecycle through automated testing, CI/CD, and AI-assisted development. Working closely with executive IT leadership, the role will lead a distributed, blended engineering organization and define canonical data architectures and golden-record standards. The position tracks platform economics, SaaS savings, and automation ROI, and reports executive KPI dashboards to C-suite leadership. The role reports to the Senior Vice President, Chief Information Officer.

Requirements

12–15 years of relevant experience in enterprise application architecture, software engineering, or platform systems delivery.
4–7 years of experience leading and scaling architectural and engineering teams across distributed or global environments.
Deep hands-on architectural experience with enterprise business platforms, specifically Salesforce (Sales/Service/CPQ) and NetSuite ERP.
Proven track record implementing production AI harnesses, autonomous agent frameworks, and generative AI copilots.
Ability to analyze corporate software portfolios, architect cost-effective internal alternatives, and optimize cross-functional business processes.
Fluency in event-driven integration patterns, application security, AI safety guardrails, and regulatory compliance standards including SOC 2, ISO, and GDPR.
Executive presence and ability to explain complex architectural trade-offs and automation ROI to leadership.
Bachelor’s or Master’s degree in Computer Science, Software Engineering, Information Systems, or equivalent practical experience.

Responsibilities

Formulate and drive an architectural roadmap to eliminate cross-system silos across Salesforce, NetSuite, billing, and customer operations.
Lead the strategy for deploying autonomous and semi-autonomous AI copilots across Sales, Support, Finance, and Operations.
Identify, evaluate, and execute opportunities to replace costly specialized third-party SaaS tools with internal AI-driven micro-applications.
Drive business process re-engineering and optimization across corporate functions to reduce procedural friction and manual reconciliations.
Enforce AI governance, prompt evaluation standards, hallucination mitigation, and execution boundaries for autonomous agents.
Define canonical data architectures and golden-record standards across accounts, customers, and assets.
Modernize the platform SDLC by establishing automated testing frameworks, CI/CD pipelines, and AI-assisted development tools.
Track platform unit economics, SaaS spend reductions, and automation ROI, and deliver executive KPI dashboards to C-suite leadership.
Mentor and scale a blended engineering organization including in-house platform architects, global/offshore teams, and specialized implementation partners.