5-7 years of software engineering experience with a focus on production-quality software.
Proficiency in programming languages such as Python, Go, or TypeScript.
Strong interpersonal skills for effective communication with enterprise engineering teams.
Hands-on experience with Kubernetes, Docker, and cloud platforms (AWS, GCP, Azure).
Familiarity with AI agents and LLMs, or a quick learning ability in these areas.
Exceptional problem-solving skills and resourcefulness in navigating complex challenges.
Strong product intuition to translate customer needs into scalable solutions.
Responsibilities
Own enterprise deployments from start to finish, ensuring successful integration into production environments.
Build custom software solutions, including agents and integrations tailored to customer needs.
Deeply understand customer production systems and their operational workflows.
Drive technical adoption by identifying new use cases and expanding product usage across teams.
Act as a liaison between customers and core engineering to influence product development.
Take ownership of customer outcomes, ensuring measurable improvements in operations.
Operate with urgency and creativity to overcome challenges and deliver results.
Benefits
Make a real impact on engineering operations and customer outcomes.
Contribute to shaping the future of Agentic AI in enterprise software.
Enjoy a collaborative, high-trust work environment with end-to-end ownership.
Accelerate your career growth with opportunities alongside industry leaders.
Receive comprehensive medical, dental, and vision insurance.
Benefit from a monthly housing stipend and flexible paid time off.
Access visa sponsorship and immigration support.
Participate in a 401(k) plan and enjoy parental leave.
Utilize a discretionary tech benefit stipend and enjoy daily in-office meals.
Full Job Description
WHAT YOU'LL DO
Own enterprise deployments end-to-end. Work directly with some of the world's largest engineering organizations to deploy Resolve across their production infrastructure and drive meaningful adoption.
Build custom agents, integrations, and features. Design and ship production-grade software to solve customer-specific problems, from integrating proprietary internal systems to building autonomous workflows and agents.
Get deep into production systems. Understand how customers operate their infrastructure, including Kubernetes, cloud platforms, observability stacks, incident management systems, and internal developer tooling.
Drive technical adoption and expansion. Go beyond getting Resolve deployed. Work with customer engineering teams to identify new use cases, expand into additional teams, and make Resolve a critical part of their production operations.
Bridge customers and core engineering. Identify recurring customer needs, influence our product roadmap, and turn bespoke solutions into scalable product capabilities.
Own outcomes, not just deliverables. Take responsibility for solving customer problems, removing blockers, and delivering measurable improvements in how engineering teams operate.
Operate with extreme urgency and ownership. Navigate ambiguity, work through complex technical and organizational challenges, and find creative ways to get things done.
WHAT WE'RE LOOKING FOR
Strong software engineering fundamentals. Experience designing, building, and shipping production-quality software. Proficiency in at least one language such as Python, Go, or TypeScript.
Strong customer-facing skills. Ability to work directly with enterprise engineering teams, understand their technical challenges, communicate complex solutions clearly, and build trusted relationships with engineers and technical leaders.
Ability to drive adoption and customer outcomes. Comfortable taking ownership beyond the initial deployment, proactively identifying opportunities to expand usage, removing technical blockers, and ensuring customers realize meaningful value from the product.
Familiarity with production infrastructure. Hands-on experience with Kubernetes, Docker, cloud platforms (AWS, GCP, or Azure), and distributed systems.
Understanding of AI agents and LLMs. Familiarity with agent architectures, tool calling, LLM APIs, and building reliable AI-powered workflows, or a demonstrated ability to learn these systems quickly.
Exceptional ownership and resourcefulness. Willing to navigate ambiguity, work across engineering and customer teams, and do whatever it takes to solve difficult problems. You don't just identify blockers; you find ways around them.
Strong product intuition. Ability to translate customer pain points into technical solutions, recognize patterns across enterprise deployments, and help shape product capabilities that can scale beyond a single customer.
WHY JOIN RESOLVE AI?
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:
Comprehensive Medical, Dental, and Vision Insurance
