Original listing text, shown exactly as published by the company.
About the Role
The traditional model of siloed product managers, designers, and engineers is too slow for modern AI-native development. At HighLevel, every engineer owns a product outcome end-to-end, from idea to prototype to production to scale. You will operate as a Team of One. With AI tooling and strong engineering infrastructure, a single engineer can now build what previously required an entire squad. You are not implementing tickets. You own the product.
What You'll Do
- End-to-End Product Ownership:
- Translate business goals into working, deployable systems
- Define architecture, workflows, and implementation plans
- Ship and maintain production-grade systems — not demos or prototypes
- Rapid Prototyping & Iteration:
- Turn ambiguous ideas into working demos within hours or days
- Prototype using code, AI tooling, automation, or low-code systems
- Validate through experiments and real user feedback, then iterate to production quality
- Build AI-Native Systems:
- Design and orchestrate LLM agents, retrieval pipelines, workflow automation, memory layers, APIs, and guardrails. Build for resilience against hallucinations, model variability, and quality degradation over time.
- Design for Scale, Cost & Performance:
- Reason through token consumption, inference cost, latency constraints, infrastructure scalability, and system resilience. The goal: systems that work efficiently at scale.
- Operational Excellence:
- Instrument systems with monitoring and telemetry
- Build evaluation loops for continuous quality improvement
- Automate workflows that increase engineering velocity
- Maintain clear, repeatable documentation
Minimum Qualifications
- Demonstrated track record of shipping production systems
- Strong systems thinking and logical reasoning
- High ownership mindset; operates well with minimal supervision
- Comfortable with ambiguity and fast iteration cycles
- Experience with APIs, automation tools, or AI platforms
- Ability to reason about infrastructure tradeoffs and system reliability
Preferred Qualifications
- Experience building LLM-based or AI-driven products
- Familiarity with evaluation frameworks, monitoring, or instrumentation
- Experience with data pipelines, analytics, or telemetry
- Strong UX and front-end sensibility
- Portfolio or GitHub showcasing deployed systems
- Stack: React / Vue / Angular · Node.js / Python / Java
What Success Looks Like
- Consistently reduces cycle time from idea to production
- Ships production-grade systems, not experiments
- Balances quality, latency, and cost in system design
- Builds evaluation loops that improve product performance over time
Why You'll Love Working Here
- Massive Impact: Your work directly affects millions of businesses worldwide
- High Autonomy: We trust builders to own outcomes, not just tasks
- Remote-First: Work from anywhere; we measure results, not hours…
