About Resolve AI

• At Resolve, we’re building Agentic AI that empowers software engineers by automating production engineering and SRE workflows. Our models deeply understand production systems —from code to databases—taking on repetitive, high-pressure tasks and handling critical incidents autonomously, so engineers can focus on building.

• Our founders (Spiros Xanthos and Mayank Agarwal) are the core creators of OpenTelemetry and led Splunk Observability. They have 2 successful exits to Splunk and VMware.

• We raised a $35M Seed round from top-tier investors like Greylock, Unusual Ventures, Jeff Dean (Chief Scientist, Google DeepMind), Thomas Dohmke (CEO, GitHub), Matt Garman (CEO, AWS), Reid Hoffman (Founder, LinkedIn) and Fei Fei Li (Professor, Stanford).

Sales Engineer:

Joining Resolve AI at this stage of our journey is a once-in-a-lifetime opportunity. You’ve already decided that you want to work at an AI-native company that’s pushing the limits of how engineers work, and now you’re looking for the right one. 

At Resolve, we’ve brought together experienced (and successful) entrepreneurs, experts in understanding our customers, and leading innovators in AI and distributed systems. Now we need the right people to help us tell that story—one prospect at a time. Join Resolve as a founding go-to-market team member, helping us build and execute the playbook to drive repeatable revenue while also building a respected brand within the engineering community.

Responsibilities:

• Partner with Account Executives to manage complex enterprise sales cycles from discovery through proof-of-concept to close, serving as the technical lead throughout the process.

• Lead tailored product demos and technical evaluations, translating customer infrastructure and operational challenges into actionable solutions using Resolve AI’s platform.

• Build trusted relationships with engineering and executive stakeholders, acting as a consultative advisor and ensuring technical success during pilots and early deployments.

• Collaborate cross-functionally with Product and Engineering to relay customer feedback, influence roadmap decisions, and improve technical messaging.

• Develop and maintain reusable demo environments, playbooks, and sales engineering tools to support a repeatable, scalable GTM motion.

Qualifications:

• 5+ years in Sales Engineering, Solutions Engineering, or a similar customer-facing technical role, ideally in enterprise SaaS, DevOps, or AI.

• Proven success managing long, consultative sales cycles with enterprise customers and multiple stakeholders.

• Experienced with cloud platforms (especially AWS) and Kubernetes, with a strong understanding of databases and messaging systems for secure, scalable cloud-native applications

• Skilled in infrastructure automation and applying security and compliance best practices in cloud-native environments.

• Strong communicator with the ability to clearly present technical concepts to both technical teams and executive leadership.

• Adaptable, self-starter mindset with a proven ability to thrive in fast-paced, early-stage environments.

We are an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender, gender identity, sexual orientation, protected veteran status, disability, age, and other characteristics protected by law.