• Act as primary onsite engineer managing day-to-day IT infrastructure operations • Support and maintain VMware environment (vSphere, ESXi, VM provisioning) • Manage Dell infrastructure including PowerEdge • Handle daily operational tasks including provisioning, monitoring, and troubleshooting • Serve as L2/L3 support for infrastructure incidents and escalations • Coordinate with Dell support for hardware/software issues • Perform system health checks, monitoring, and performance optimization • Execute patching, upgrades, and maintenance activities • Support backup and recovery operations (Cohesity experience preferred) • Document environment, issues, and operational procedures • Act as primary point of contact for the customers IT teams and stakeholders onsite • Coordinate with offshore (India) team for extended support and task delegation • Assist in replacing responsibilities previously handled

• Advise on and help maintain large-scale computational and AI infrastructure, including monitoring, logging, and workload orchestration (Kubernetes and Linux job schedulers). • Provide consultative guidance and perform hands-on troubleshooting across the full stack—from bare metal and operating system, through the software stack, container platform, networking, and storage. • Assess customer environments and recommend optimized, production-ready Kubernetes-based container platforms integrated with enterprise-grade networking and storage solutions. • Serve as a key technical resource: develop, refine, and document standard methodologies and operational guidelines to be shared with internal teams and customer stakeholders. • Support Development activities and engage in POCs/POVs to validate new features, architectures, and upgrade approaches. • Create and deliver high-quality documentation, including runbooks, onboarding materials, and best-practice guides for customers and internal teams. • Act as the technical leader for assigned customer accounts, providing strategic guidance on DevOps and platform architecture and influencing long-term infrastructure and operations decisions.

• Recruit, hire, and develop new solutions engineers and coach them on providing technical expertise to customers through sales presentations, solution designs, demonstrations, and POVs • Partner with your Sales Leader counterparts to create a strategic GTM plan for the Eastern US region with clear deliverables, alignment with cross-functional teams, and measurable business outcomes • Be a key member of the Eastern US leadership team for Tines with ownership of all pre-sales aspects of the business for the region • Participate in success execution as both a player and a coach, performing account activities including opportunity coaching, account strategy, and technical executive sponsorship • Collaborate cross-functionally with Sales, Marketing, Customer Success, Sales Enablement, Product & Engineering, and the Partnerships teams to create a consistent and scalable customer journey • Foster an inclusive and collaborative solutions engineering environment with a culture of coaching, learning, growth, development, and feedback • Act as an escalation point for pre-sales technical issues from the field • Provide effective technical leadership and direction in customer meetings – sharing technical trends, competitive, and product information

• You'll architect and deploy AI-powered applications that solve real business problems and create operational leverage across the organization. • Designing and deploying AI agents and automation systems that improve business performance. • Building AI-powered recruiting solutions for sourcing, screening, interviewing, onboarding, and candidate engagement. • Creating intelligent workflow automation across sales, client success, operations, finance, and compliance. • Developing internal productivity tools that improve decision-making and efficiency. • Identifying manual processes that can be automated and transformed through AI. • You'll own the technical architecture behind our AI initiatives. • Writing clean, scalable, production-ready code. • Designing secure APIs and integrations across our technology ecosystem. • Building end-to-end systems leveraging LLMs, workflow orchestration platforms, databases, and third-party applications. • Conducting code reviews and establishing engineering best practices. • Ensuring solutions are secure, maintainable, and built for scale. • Evaluating emerging AI technologies, frameworks, and models. • Prototyping and testing new approaches to increase productivity and automation. • Partnering with leadership to prioritize initiatives with the highest business impact. • Staying at the forefront of AI advancements and bringing innovative solutions into production.