Senior Sales Engineering

Senior Sales Engineer

Agentic AI Observability Tool | Co-founder took prior company from zero to $5.7B | QSBS Equity

Backed by over $21M in capital from leading investors, they are building a next-generation AI product designed to transform how reliability engineering is done. The founding team includes senior leaders and technical pioneers from industry giants like AWS, Cisco, VMware, and Gigamon - holding dozens of patents and having built critical systems at some of the most respected tech companies in the industry. This is a rare opportunity to join an early-stage team that's solving tough technical problems in distributed systems, observability, and automation — all while shaping a product from the ground up. Backed by over $21M in capital from leading investors, they are building a next-generation AI product designed to transform how reliability engineering is done. As a Senior Solutions Architect, you will partner with prospective customers to understand technical requirements, deliver tailored product demonstrations and proof-of-value engagements, and serve as a trusted advisor throughout the sales process. Collaborate cross-functionally with Product and Engineering to drive customer success, influence product direction, and develop scalable technical assets, while helping build and grow the Solutions Engineering function.

300-$330k total comp with 65/35 base/variable Generous stock equity and plenty of opportunity for accelerators on top of the variable portion. Benefits: Comprehensive medical, vision, and dental benefits. Equity that could change your life. Open door policy.

7+ years of experience in technical pre-sales, solutions architecture, or customer-facing engineering roles supporting enterprise SaaS solutions.

• A background in the following domains: vAI, Observability, AIOps, automation, and enterprise operations.
• Master's degree in Engineering preferred.
• Consistent history of achieving or surpassing sales and performance targets.
• Strong technical foundation in SRE, DevOps, or infrastructure technologies, with hands-on experience in areas such as Kubernetes, cloud platforms (AWS, Azure, GCP), observability, incident response, or cybersecurity.
• Proven ability to lead proof-of-value (PoV) engagements from initial discovery through implementation, demonstrating clear business and technical outcomes.
• Experience developing technical demos, integrations, automation, or scripts using tools such as Python, APIs, Terraform, or similar technologies is a plus.
• Customer-focused mindset with a genuine interest in helping clients achieve successful outcomes through technology adoption.

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