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 had 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).
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.
What You’ll DoPartner 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 product demos and technical evaluations, translating customer infrastructure and operational challenges into actionable solutions using Resolve AI’s platform.
Build trusted relationships with customers, acting as a consultative advisor and ensuring technical success during pilots and 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 and high velocity GTM motion.
5+ years in Sales Engineering, Solutions Engineering, or a similar customer-facing technical role, ideally in enterprise SaaS, DevOps, or AI.
Proven success leading consultative sales cycles with enterprise customers and multiple stakeholders.
Experienced with cloud platforms (especially AWS) and Kubernetes, with a strong understanding of DevOps practices in cloud-native environments.
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.
Make a Real Impact: Join a mission-driven team tackling complex challenges that deliver meaningful outcomes for customers and revolutionize engineering operations.
Shape Agentic AI’s Future: Help build the next frontier in enterprise software and define its transformative impact.
Own Your Work: Take end-to-end responsibility in your role in a collaborative, high-trust environment.
Accelerate Your Career: Grow alongside industry leaders in a fast-paced environment, gaining invaluable experience and opportunities to propel your career to new heights.
Competitive Benefits: Competitive Pay Packages with full benefits including:
Equity with Early Exercise & QSBS Eligibility
Comprehensive Medical, Dental, and Vision Insurance
Monthly Housing Stipend
Flexible (Unlimited) Paid Time Off
Visa Sponsorship & Immigration Support
401(k) Plan
Parental Leave
Discretionary Tech Benefit Stipend
Daily in-office Lunches and Dinners
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.
Top Skills
What We Do
Our AI Production Engineer investigates & resolves incidents, so you can focus on building.
Let’s make machines be on-call for humans, not the other way around.
