Transforming the buildings where people live, work, learn and play to become smarter, healthier and more sustainable.
Sr. Sales Engineer, Data Center
Location
United States
Posted
14 days ago
Salary
$67K - $101K / year
Seniority
Senior
Job Description
Sr. Sales Engineer, Data Center
Johnson Controls
Role Description As a Builder on the Stack Forging Thermal Solutions team at Johnson Controls, you'll join a team of sleeve-rollers who set a high bar for themselves and their co-workers. We foster a collaborative culture with no silos, where everyone is encouraged to think out loud. If you are passionate about your craft and don't give up until you've found a way, you will make an ideal Builder! This role can be either remote or on-site at our Burlington, MA office. What You’ll Do - Responsible for the sale of Stack Forging Thermal Solutions Direct Liquid Cooling (DLC) products to the Hyperscaler market segment. - Position Johnson Controls as the primary thermal partner for massive-scale AI clusters and high-density compute deployments. - Execute the Sales Process: - Cultivate and manage long-term relationships within the Hyperscaler ecosystem (Google, AWS, Meta, MSFT, etc.), seeking out and closing large-scale production opportunities for Stack Forging Thermal Solutions products. - Technical Advisory: - Support Hyperscaler product architects and thermal engineers in integrating Stack Forging Thermal Solutions technology into custom rack designs to achieve industry-leading PUE (Power Usage Effectiveness). - Define Solution Requirements: - Work with customers and prospects to collect performance and solution requirements and communicate these to Solutions Delivery and Product teams internally. - Pipeline Management: - Maintain an accurate pipeline focused on the deployment of JCI technology into liquid-cooled "mega-facilities." - Technical Leadership: - Act as a trusted advisor to Hyperscaler engineering teams, validating that our solutions deliver the thermal performance required for next-gen silicon. - Cross-Functional Collaboration: - Partner with Business Development and Solutions Delivery to ensure seamless deployment across global regions. - Strategic Negotiation: - Support the negotiation of high-volume purchase agreements and Master Service Agreements (MSAs) for mass production. Qualifications - Required Education: Bachelor’s, Masters, or PhD in Mechanical Engineering, Thermal Engineering, or a related technical field. - Experience: A minimum of 3 years of successful technical sales experience specifically within the Hyperscale or Large-Scale Data Center segments. - Technical Literacy: Strong understanding of heat transfer and fluid dynamics fundamentals, and data center cooling loops (CDUs, secondary loops). - Communication: Ability to bridge the gap between deep-dive thermal engineering discussions and executive-level ROI presentations. Preferred Qualifications - Specialized Knowledge: Proven track record selling Direct Liquid Cooling (DLC) or complex thermal management systems to the Hyperscale/HPC segment. - Market Network: Existing high-level relationships within the "Big Six" Hyperscalers. - Advanced Experience: 5+ years in the Data Center thermal management space with a focus on liquid-to-chip technology. Salary Range $67,000 - $101,000 (Salary to be determined by the education, experience, knowledge, skills, and abilities of the applicant, internal equity, and alignment with market data.) This role offers a competitive Bonus plan that will take into account individual, group, and corporate performance. This position includes a competitive benefits package.
Related Guides
Related Categories
Related Job Pages
More Sales Engineer Jobs
• Execute full system installations, including site preparation, equipment setup, configuration, and validation to Evolv standards. • Deliver operator and administrator training tailored to customer verticals, ensuring smooth adoption and confidence in system use. • Provide on-site support during initial live operations, troubleshoot minor issues, and confirm readiness before handoff. • Achieve Professional Service Technician certifications on all Evolv Express generations and Expedite. • Join live customer installations to understand a real-world deployment. • Support go lives from start to finish, ensuring operators, supervisors, and stakeholders are prepared.
• Install systems and support go-lives, while training operators • Conduct site surveys and participate in pre-sales activities like pilots and demos • Troubleshoot minor installation issues and provide go-live support
• Partner effectively with Account Executives to uncover customer needs and map solutions to business outcomes in a fast-paced, high-growth environment • Deliver customized product demonstrations and technical presentations (remote and on-site) that clearly communicate technical value and business impact • Lead discovery sessions to understand customer requirements and technical environments • Identify, surface, and resolve technical blockers throughout the sales cycle • Complete RFPs, RFIs, and security/technical questionnaires in support of procurement processes • Clearly articulate ROI and technical value to both technical and non-technical stakeholders • Collaborate cross-functionally with Product, Engineering, Marketing, and Customer teams to influence platform direction and customer experience • Secure the technical win for assigned opportunities • Develop and maintain subject matter expertise in key technical areas, particularly modern web infrastructure and composable architectures • Contribute to internal enablement by sharing customer insights, field learnings, and best practices across teams
Advisory Sales Engineer – Strategic AI
DDNWorld’s leading Data Intelligence Platform supercharging over 500,000 GPUs across all data workloads
• Partner with customers to understand their critical data challenges—high-frequency trading, genomics processing, AI model training, or autonomous vehicle sensor fusion • Translate technical requirements into elegant, scalable storage solutions that exceed expectations • Architect storage for AI/ML training, HPC simulations, data analytics, and GPU-accelerated workloads • Design for reliability, resilience, security, and scale—balancing performance with data protection • Create BOMs, system architectures, and technical proposals for complex RFPs • Conduct live demos, POCs, and performance benchmarking • Integrate with GPU clusters, Kubernetes, cloud platforms, and AI frameworks • Stay current on AI infrastructure and storage technology trends



