Senior Sales Engineer

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.

Why join us?

$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. 401 (k) plans and commuter benefits. Free lunches, snacks, and top-of-the-line espressos! Equity that could change your life. High-impact role with plenty of mentorship opportunities from founders and other coworkers Collaborative coworkers with high IQ and high EQ. No politics. No bureaucracy. Open door policy.

Job Details

• 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.
• Excellent communication skills with the ability to engage both technical teams and executive stakeholders, tailoring messaging to the audience.
• Comfortable working in a high-growth startup environment, demonstrating initiative, adaptability, and a collaborative mindset.
• 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.

Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at jobot.com/legal. By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here: jobot.com/privacy-policy