Veeam is the Data and AI Trust Company, specializing in helping organizations ensure their data and AI are fully understood, secured, and resilient to enable the acceleration of safe AI at scale. As the market leader in both data resilience and data security posture management, Veeam is built for the convergence of identity, data, security, and AI risk. Headquartered in Seattle with offices in more than 30 countries, Veeam protects over 550,000 customers worldwide, who trust Veeam to keep their businesses running. Join us as we go fearlessly forward together, growing, learning, and making a real impact for some of the world’s biggest brands.
About the Role
As a Senior Systems Engineer supporting mid‑market and commercial customers, you will play a critical role in driving revenue by owning the technical strategy and execution across multiple concurrent sales opportunities. You will partner closely with sales, channel partners, and technology alliances to understand customer business challenges, design resilient solutions, and clearly articulate differentiated technical value that drives measurable business outcomes.
This role requires strong technical fundamentals, confidence engaging in public‑facing and customer‑facing presentations, and a high level of accountability for progressing deals from discovery through technical validation and close. Successful candidates are comfortable operating in a fast‑paced sales environment, balancing depth of technical engagement with responsiveness, prioritization, and execution.
***Seattle, WA location strong preferred***
What You’ll Do
- Partner with mid-market and enterprise customers as a trusted technical advisor throughout the sales cycle, delivering solution architecture, technical guidance, and pre-sales engineering expertise.
- Manage multiple concurrent opportunities in a fast-paced environment, balancing deep technical engagement with responsiveness and efficient deal progression.
- Lead complex sales engagements from discovery through solution design, technical validation, and proof-of-concept (POC) execution, driving successful technical outcomes that support deal closure.
- Apply expertise across enterprise infrastructure, including data resilience, virtualization, cloud platforms, networking, security, and modern IT architectures to solve customer challenges.
- Demonstrate and articulate the business and technical value of proposed solutions, helping customers improve operational resilience, reduce risk, optimize costs, and achieve strategic objectives.
- Advise customers on data security, privacy, governance, and regulatory considerations that influence enterprise data protection and IT strategies.
- Educate customers on emerging technologies, including AI, machine learning, and large language models (LLMs), and demonstrate how resilient, trusted data enables successful AI and analytics initiatives.
- Deliver compelling presentations, product demonstrations, workshops, and technical discussions for audiences ranging from practitioners and architects to executive stakeholders.
- Operate with a high degree of ownership and accountability, making sound decisions independently while collaborating effectively on complex or high-impact situations.
- Partner closely with sales teams, channel partners, and technology alliances to advance opportunities, generate pipeline, and ensure technical alignment throughout the customer journey.
- Mentor and support team members by sharing technical expertise, promoting best practices, and fostering a culture of continuous learning and collaboration.
What You’ll Bring
- 5+ years of experience in pre‑sales systems engineering, solutions architecture, or related technical customer‑facing roles, supporting mid‑market to enterprise customers.
- Demonstrated ability to manage multiple concurrent sales engagements in a fast‑paced sales environment, balancing deep technical engagement with efficiency, responsiveness, and deal progression.
- Proven experience executing complex sales cycles end‑to‑end, including discovery, solution design, technical validation, and proof‑of‑concept (POC) execution, while owning technical outcomes that directly support deal closure.
- Strong foundational technical background across enterprise infrastructure domains, including data resilience, compute and virtualization platforms, cloud services, networking, and security, with the ability to apply this knowledge to real‑world customer challenges and business objectives.
- Ability to position solutions competitively and articulate differentiated technical value in the context of customer outcomes, cost optimization, risk reduction, and operational resilience.
- Working knowledge of data security, privacy, governance, and regulatory considerations that influence enterprise IT and data protection strategies.
- Foundational understanding of AI, machine learning, and large language models (LLMs), with the ability to explain how trusted, resilient, and well‑governed data enables modern analytics, automation, and AI initiatives.
- Strong verbal and written communication skills, with demonstrated experience presenting technical concepts to IT practitioners, architects, and management‑level audiences, including leading customer‑facing presentations, demonstrations, workshops, and public or semi‑public speaking engagements.
- Proven ability to operate independently with a high level of ownership and accountability, exercising sound judgment within established frameworks while escalating appropriately for high‑impact or ambiguous decisions.
- Collaborative mindset with a track record of partnering closely with sales, channel partners, and technology alliances to advance opportunities, support pipeline generation, and drive technical alignment throughout the sales cycle.
- Demonstrated commitment to team development and knowledge sharing, including mentoring junior colleagues through technical guidance, best practices, and leading by example.
Bonus Skills
- Containerized and cloud‑native application platforms, including Kubernetes environments and considerations for data protection, backup, and recovery of containerized workloads.
- SaaS application data resilience (e.g., Microsoft 365, Salesforce, and other enterprise SaaS platforms), including understanding shared responsibility models and common recovery use cases.
- API‑driven automation and scripting, including familiarity with REST APIs, basic scripting (PowerShell, Python), or infrastructure‑as‑code concepts used to improve consistency and efficiency.
- Cyber recovery and resilience concepts, including isolated recovery environments, clean‑room architectures, ransomware recovery workflows, and validation of restored data.
- Data governance and policy‑driven protection models, including data classification, retention policies, and alignment with security and compliance requirements.
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Veeam Software is an equal opportunity employer and does not tolerate discrimination in any form on the basis of race, color, religion, gender, age, national origin, citizenship, disability, veteran status or any other classification protected by federal, state or local law. All your information will be kept confidential.
Personal data collected during the recruitment process will be processed in accordance with our Recruiting Privacy Notice, which explains how your information is collected, used, and handled in connection with hiring activities. By applying for this position, you consent to this processing.
By submitting your application, you confirm that the information provided, including any supporting documents, is complete and accurate to the best of your knowledge. Any misrepresentation, omission, or falsification may result in disqualification from consideration or, if discovered after employment begins, termination of employment.
