Consulting Systems Engineer Data Intelligence

Description

The company, the company (NYSE: P), has moved from storage to a data platform. It closed fiscal 2026 at $3.7 billion in revenue, including its first quarter above $1 billion, and expects growth to continue into FY27.

The company's focus covers hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the wider AI ecosystem.

Responsibilities

• The data management team needs a Consulting Systems Engineer to give technical and strategic pre-sales support to the sales organization.
• Your work covers technical discovery, demonstrations, proof-of-concept execution, solution design, partner enablement, and technical validation across the customer journey.
• Act as a technical adviser and trusted partner to enterprise customers, prospects, and channel partners during the sales process.
• Run technical discovery sessions to learn about customer environments, business drivers, security challenges, compliance needs, and how decisions get made.
• Build and present product demos, workshops, executive briefings, and presentations matched to the business outcomes each customer wants.
• Design, deploy, and manage proof-of-concept engagements that validate the technology, show measurable business value, and drive customer adoption.
• Work with Account Executives, Account Managers, specialists, and channel partners to shape technical sales strategy through complex enterprise sales cycles.
• Tie the technology to measurable customer outcomes, covering technical validation, competitive positioning, and total cost of ownership.
• Write large parts of, or lead, responses to RFPs, RFQs, and RFIs.
• Provide 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 sessions.
• Track market trends and competing technologies so solution positioning stays sharp, and contribute thought leadership inside and outside the company.
• The company Data Intelligence, formerly 1touch.io, helps enterprises discover, classify, and contextualize data across cloud, on-premises, and edge environments. The product aims to improve AI accuracy, build trust in AI results, reduce risk, and deliver measurable business impact.

Requirements

• A BS in Computer Science, Electrical Engineering, or another technical field, and/or equivalent practical experience.
• 8+ years of relevant experience in pre-sales, sales engineering, solutions architecture, or similar customer-facing technical roles, including leading technical sales efforts.
• You can explain complex technical architectures to both technical and executive audiences.
• Deep knowledge of enterprise architecture, design, and implementation across multi-tiered client/server, distributed, web-based, cloud, and hybrid systems.
• Experience with cloud and hybrid infrastructure such as AWS, Azure, GCP, and VMware.
• Familiarity with modern web and cloud-native architectures, including the LAMP stack, scale-out vs. scale-up, microservices, containers, Terraform, and Kubernetes.
• Experience with scripting and automation, including Python.
• Experience with data discovery, classification, DSPM, DLP, SIEM, SOAR, governance, privacy, and compliance solutions.
• Experience with SQL, NoSQL, structured databases, cloud-native databases, and storage-intensive applications.
• Strong working knowledge of cybersecurity, data protection, governance, privacy, risk management, and security operations.
• The role is on-site.

Conditions

The role is based on-site.

The company is an equal opportunity employer and welcomes applicants from all backgrounds.

Benefits

• Flexible time off, wellness resources, and company-sponsored team events.
• The company has been named a Fortune Best Workplace in Technology and a Fortune Best Workplace in the Bay Area, and is certified as a Great Place to Work.
• The company values critical thinking, taking on challenges, and aiming high, and supports staff in growing with the business.