Senior Sales Engineering

Agentic AI Observability Tool | Co-founder took prior company from zero to $5.7B | QSBS Equity
This Jobot Job is hosted by: Caitlyn Hardy
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.
Generous stock equity and plenty of opportunity for accelerators on top of the variable portion.
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, Google Cloud Platform), 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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