Consulting Systems Engineer
Job description
About the role
You will serve as a technical advisor and trusted partner to enterprise customers, prospects, and channel partners throughout the entire sales cycle. In this capacity, you will lead technical discovery sessions to uncover complex business drivers, security challenges, and compliance requirements. You will architect and deliver compelling product demonstrations, workshops, and executive briefings tailored to specific business outcomes. You will design, deploy, and manage Proof of Concept (POC) engagements to ensure successful technical validation and measurable business value. You will collaborate cross-functionally to translate customer challenges into innovative data management solutions. You will contribute significantly to responses for RFPs, RFQs, and RFIs, and represent the company at client meetings and industry events.
Key facts
What you'll do
- Serve as a technical advisor and trusted partner to enterprise customers, prospects, and channel partners throughout the sales process.
- Lead technical discovery sessions to understand customer environments, business drivers, security challenges, compliance requirements, and decision-making processes.
- Architect and deliver compelling product demonstrations, workshops, executive briefings, and presentations tailored to use cases aligned with customers' business desired outcomes.
- Design, deploy, and manage Proof of Concept (POC) engagements, ensuring successful technical validation, measurable business value, and customer adoption.
- Collaborate closely with Account Executives, Account Managers, specialists, and channel partners to develop technical sales strategies and support complex enterprise sales cycles.
- Connect technology solutions to measurable customer business outcomes, including technical validation, competitive positioning, and Total Cost of Ownership (TCO) considerations.
- Contribute significant portions of, and/or lead, responses to RFPs, RFQs, and RFIs.
- Deliver partner enablement and technical training to resellers, integrators, and strategic alliances.
- Represent the company at customer meetings, industry events, conferences, webinars, trade shows, and executive briefing center engagements.
- Maintain deep awareness of market trends, competitive technologies, and evolving industry landscapes to ensure differentiated solution positioning.
- Promote thought leadership internally and externally through knowledge sharing and strategic insight.
- Work cross-functionally with Product Management, R&D, Marketing, Customer Success, Leadership, and channel partners to align market needs with product direction.
- Support the creation of technical sales strategies that address complex enterprise sales cycles and stakeholder engagement.
- Translate intricate customer challenges into clear, innovative solutions that leverage data intelligence and management capabilities.
Requirements
- Hold a Bachelor of Science degree in Computer Science, Electrical Engineering, or another technical discipline, and/or possess equivalent practical experience.
- Bring 8+ years of relevant experience in pre-sales, sales engineering, solutions architecture, or related customer-facing technical roles focused on leading technical sales motions.
- Demonstrate the ability to understand and communicate complex technical architectures to both technical and executive audiences effectively.
- Develop a deep understanding of enterprise architecture, design, and implementation across multi-tiered client/server, distributed, web-based, cloud, and hybrid computing solutions.
- Gain hands-on experience with cloud and hybrid infrastructure environments, including Amazon Web Services (AWS), Microsoft Azure, Google Cloud Platform (GCP), and VMware.
- Acquire familiarity with modern web and cloud-native architectures, including the LAMP stack, scale-out versus scale-up strategies, microservices, containers, Terraform, and Kubernetes.
- Obtain experience with scripting and automation tools to streamline sales processes and validate technical concepts.
- Cultivate strong problem-solving skills to analyze customer requirements and propose robust data management strategies.
- Build expertise in data discovery, classification, and contextualization to improve AI accuracy and trust in AI outcomes.
- Learn to reduce organizational risk and deliver measurable business impact through data intelligence solutions.
- Understand the importance of reducing risk and ensuring compliance within complex enterprise environments.
- Enhance capability to engage with technical and business stakeholders at executive levels.
- Strengthen skills in managing partner and channel enablement programs.
- Commit to maintaining a customer-centric mindset focused on delivering tangible business outcomes.
Practical notes
- The engagement type is listed as "See source" indicating that further details regarding contract duration or project length are available in the original job posting.
- There is no information regarding working hours, travel requirements, visa sponsorship conditions, or application deadlines in the provided source material.