Sales Systems Engineer (Data Resilience)

TL;DR

Sales Systems Engineer (Data Resilience): Driving revenue by owning technical strategy and execution for mid-market and commercial customers with an accent on data resilience and security. Focus on leading complex sales engagements from discovery through proof-of-concept and technical validation.

Location: Must be located in Seattle, WA

Salary: $158,700 — $264,400 USD

Company

hirify.global is the Data and AI Trust Company, specializing in helping organizations ensure their data and AI are fully understood, secured, and resilient.

What you will do

• Act as a trusted technical advisor throughout the sales cycle, delivering solution architecture and pre-sales engineering expertise.
• Manage multiple concurrent opportunities, driving them from discovery through solution design and proof-of-concept (POC) execution.
• Apply expertise across enterprise infrastructure, including virtualization, cloud platforms, networking, and security to solve customer challenges.
• Educate customers on AI, machine learning, and LLMs, demonstrating how resilient data enables successful AI initiatives.
• Deliver compelling technical presentations, workshops, and product demonstrations to audiences from practitioners to executive stakeholders.
• Collaborate with sales teams, channel partners, and technology alliances to advance opportunities and generate pipeline.

Requirements

• 5+ years of experience in pre-sales systems engineering, solutions architecture, or related technical customer-facing roles.
• Must be located in Seattle, WA.
• Strong technical background in enterprise infrastructure: data resilience, compute, virtualization, cloud, and security.
• Proven ability to execute complex sales cycles end-to-end, including discovery and POC execution.
• Excellent communication skills with experience presenting to IT architects and management-level audiences.
• Foundational understanding of AI, machine learning, and large language models (LLMs).

Nice to have

• Experience with Kubernetes and cloud-native application data protection.
• Knowledge of SaaS application resilience for platforms like Microsoft 365 and Salesforce.
• API-driven automation and scripting skills (Python, PowerShell, REST APIs).
• Expertise in cyber recovery, isolated recovery environments, and ransomware recovery workflows.
• Familiarity with data governance, classification, and retention policies.

Culture & Benefits

• Unlimited paid time off, 12 paid holidays, and 24 paid volunteer hours annually.
• Comprehensive medical, dental, and vision coverage starting on the first day.
• 401(k) retirement plan with company matching contributions.
• Paid parental leave (8 weeks for all parents, 16 weeks for birthing parents).
• Mental health support via Employee Assistance Program and fertility/adoption support.
• Learning and growth opportunities via LinkedIn Learning, O’Reilly, and an annual Global Day of Learning.