Sobre este puesto de Director, Platform & AI Architecture en ChargePoint
About Us
With electric vehicles expected to be nearly 30% of new vehicle sales by 2025 and more than 50% by 2040, electric mobility is becoming a reality. ChargePoint (NYSE: CHPT) is at the center of this revolution, powering one of the world’s leading EV charging networks and a comprehensive set of hardware, software and mobile solutions for every charging need across North America and Europe. We bring together drivers, businesses, automakers, policymakers, utilities and other stakeholders to make e-mobility a global reality.
Since our founding in 2007, ChargePoint has focused solely on making the transition to electric easy for businesses, fleets and drivers. ChargePoint offers a once-in-a-lifetime opportunity to create an all-electric future and a trillion-dollar market.
At ChargePoint, we foster a positive and productive work environment by committing to live our values of Be Courageous, Charge Together, Love our Customers, Operate with Openness, and Relentlessly Pursue Awesome. These values guide how we show up every day, align, and work together to build a brighter future for all of us.
Join the team that is building the EV charging industry and make your mark on how people and goods will get everywhere they need to go, in any context, for generations to come.
Reports To
Senior Vice President, Chief Information Officer
What You Will Be Doing
As a hands-on architectural leader, you will pioneer opportunities to rationalize and replace redundant commercial SaaS applications with modern internal AI agents and custom-engineered micro-apps. You will modernize the SDLC through end-to-end testing and deployment automation while enforcing strict security and AI safety guardrails. Partner closely with executive IT leadership and lead a blended global engineering organization to deliver scalable, high-velocity business capabilities that drastically reduce procedural friction.
What You Will Bring to ChargePoint
- Formulate and drive the architectural roadmap to eliminate cross-system silos across Salesforce, NetSuite, billing, and customer operations.
- Lead the strategy to “agentify” enterprise users across Sales, Support, Finance, and Operations by deploying autonomous and semi-autonomous AI copilots.
- Identify, evaluate, and execute opportunities to rationalize or replace high-cost, specialized third-party SaaS tools with internal AI-driven micro-applications.
- Drive business process re-engineering and optimization across corporate functions to eliminate procedural friction and manual reconciliations.
- Enforce comprehensive 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 to fuel reliable automations.
- 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, delivering executive KPI dashboards directly to C-suite leadership.
- Mentor and scale a high-velocity blended engineering model comprising in-house platform architects, global/offshore teams, and specialized implementation partners.
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 of implementing production AI harnesses, autonomous agent frameworks, and generative AI copilots.
- Demonstrated ability to analyze corporate software portfolios, architect cost-effective internal alternatives, and optimize cross-functional business processes.
- Deep fluency in event-driven integration patterns, application security, AI safety guardrails, and regulatory compliance standards (SOC 2, ISO, GDPR).
- Exceptional executive presence with the ability to translate complex architectural trade-offs and automation ROI into compelling narratives for leadership.
- Bachelor’s or Master’s degree in Computer Science, Software Engineering, Information Systems, or equivalent practical experience.
Location
Campbell, CA - Hybrid 3-days a week
The base salary range for this role is $235,043 – $310,500 per year. In addition, this position is eligible for a new hire RSU grant and annual merit-based RSU grants. The company offers a comprehensive benefits package including health, dental, and vision insurance; 401(k); paid time off; parental leave; life and disability insurance; and wellness resources.
Compensation may be adjusted based on work location.
We are committed to an inclusive and diverse team. ChargePoint is an equal opportunity employer. We do not discriminate based on race, color, ethnicity, ancestry, national origin, religion, sex, gender, gender identity, gender expression, sexual orientation, age, disability, veteran status, genetic information, marital status or any legally protected status.
If there is a match between your experiences/skills and the Company needs, we will contact you directly.
ChargePoint is committed to fostering an inclusive workplace that welcomes and supports all qualified individuals. In alignment with this commitment, we ensure that persons with disabilities are provided with reasonable accommodations throughout the employment process.
If you need a reasonable accommodation to participate in the application or interview process, to perform essential job functions, or to access any other benefits and privileges of employment, please contact us at accommodations@chargepoint.com.
ChargePoint is an equal opportunity employer.
Applicants only - Recruiting agencies do not contact.
