Staff Product Engineer Job at Prefect

Job Description

Join a small, senior engineering group to ship end‑to‑end product slices that make Horizon indispensable for real users - owning everything from a quick wireframe and demo to the production service to the observability and page that wakes you up at 2 a.m. You'll partner directly with our CEO, VP of Product, other product engineers, and early customers, turn field signal into working software fast, and help us confidently identify where we can take the market then deliver. Horizon helps developers deploy, scale, and manage MCP servers with zero configuration—built for modern AI development workflows with production-ready infrastructure. This role sits at the intersection of an emergent market where AI and LLM tooling are reshaping how development teams operate.

Job Responsibility

Own end-to-end product slices of Horizon—from customer problem to wireframe to production service, including the user-facing UI/UX
Partner directly with the CEO, VP of Product, and early customers to turn field signal into working software at pace
Shape technical direction and architectural decisions for Horizon
Mentor product engineers on your team on systems thinking, reliability patterns, and shipping discipline
Develop deep product knowledge of the AI/LLM tooling space, MCP ecosystem, and how Horizon fits into emerging patterns
Establish and refine our approach to operational excellence: sustainable on-call practices, incident response patterns, observability standards that scale
Participate in on-call/incident response and set the standard for how we handle production issues

Requirements

8+ years of full-stack engineering experience, with demonstrated success shipping early-stage products from 0 to 1.0 and scaling them beyond
Deep proficiency in TypeScript across the full stack
Comfortable owning UI/UX implementation
Python experience is a bonus
Track record of owning user-facing features end-to-end
5+ years working with Postgres, Redis, and at least one major cloud platform (AWS strongly preferred)
Strong design and architectural thinking
Proven experience with production observability (Datadog, Grafana, or equivalent)
Experience building with the Model Context Protocol (MCP)
Genuine interest in AI, LLM tooling, and where this space is heading
Track record of mentoring engineers and raising technical standards
Self-directed with strong judgment
Comfortable with AI-powered development tools (Cursor, Claude Code, GitHub Copilot, etc.)

What we offer

Equity Stock Options
401(k) with 5% company match (vests immediately!)
Unlimited PTO
Medical, Dental and Vision insurance
Generous Parental Leave
Life Insurance and Disability benefits
$800 remote work stipend for whatever you need to work (food, wellness, equipment etc.)

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Staff Product Engineer

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