Product Engineer

Location: Remote (LATAM preferred, nearshore)
Engagement: Contract / Full-time
Experience: 4-7 years in traditional terms, but we care more about AI-native capabilities than tenure

About the Role

This is a product-minded, AI-native engineering role where you'll own outcomes — not just features.

You won't be taking tickets. You'll work directly with clients, translate ambiguous requirements into working software, and take full ownership over product delivery. You operate inside Day10's unified AI-orchestration system and bring both technical execution and product judgment to every engagement.

What You'll Work On

Building AI-first products across multiple domains:

• Consumer-facing web and mobile applications

• Enterprise workflow automation systems

• Healthcare platforms and regulated industry solutions

• Internal operational tools and admin systems

Owning product delivery 0 → 1:

• Translating client goals into product decisions

• System architecture and technical implementation

• Iteration based on direct client feedback

Operating within Day10's AI-orchestration system:

• Leveraging our unified toolchain (V0, Claude Code, Cursor, Figma AI, proprietary agents)

• Maintaining product and technical context across the full SDLC

• Following AI-first SDLC methodology

Technical Requirements

Strong full-stack foundation:

• Backend: Python (FastAPI strongly preferred)

• Frontend: React

• Mobile: React Native (familiarity required, mastery not mandatory)

Product ownership:

• You've launched products from scratch

• You've made prioritization calls under real constraints

• You understand product-market fit, not just clean code

0 → 1 experience:

• You've been the person responsible for shipping, not just contributing

• You've navigated ambiguous requirements and turned them into decisions

• You've worked as a founding engineer or first engineer at a startup — or in an equivalent role where you owned the outcome end-to-end

AI / Agentic Experience (Critical)

This is non-negotiable. If you haven't embraced AI-first development, this role isn't for you.

Hands-on AI-first development experience:

• You build with AI tools daily (Claude, Claude Code, Cursor, etc.)

• You've shipped products where AI is core to the architecture

• You understand agent orchestration, not just API calls

Familiarity with agentic patterns and frameworks:

• LangChain, LangGraph, CrewAI, or similar

• You've worked alongside or within AI-powered delivery systems

• You've debugged quality issues in AI-integrated products

Production AI deployment experience:

• You've shipped AI features into real user hands

• You understand retrieval systems, context management, and model evaluation at a product level

• You monitor quality, cost, and drift

Red flag: If you haven't heard of Claude Code, this role is not a fit.

What "Senior" Means at Day10

We don't define this role by years. We define it by product ownership + AI adoption.

A product engineer at Day10:

• Has launched products from zero and owned the outcome end-to-end

• Talks directly to clients and turns feedback into product decisions

• Can design, implement, and iterate without a PM or tech lead above them

• Treats AI as a core part of how they work, not an add-on

• Ships faster than traditional teams of 5-10 because they combine judgment with AI leverage

We hire product engineers who:

• Learn fast and evolve constantly

• Obsess over what ships, not what gets built

• Have the pragmatism to let AI handle grunt work

• Have the judgment to own what AI can't

What We Care About (Non-Negotiables)

Ownership mentality

• You treat every product like it's yours to grow

• You don't get blocked — you unblock yourself

• You ship outcomes, not just code

Proactiveness

• You ask questions to clarify goals, not to avoid decisions

• You dig for context when requirements are vague

• You identify problems before clients do

Strong communication

• Clear, concise, and direct

• Comfortable running client conversations without a handler

• Opinionated in a constructive way

Diligence & collaboration

• You follow through on commitments

• You work well in small, high-trust teams

• You give and receive feedback openly

Speed without fragility

• You move fast but don't ship broken products

• You balance "ship now" vs. "build right"

• You know when to prototype and when to build properly

Nice to Have

• Experience in regulated domains (healthcare, fintech, insurance)

• Design sensibility — you know when something looks or feels wrong

• Exposure to modern DevOps/MLOps practices

• Familiarity with agent evaluation frameworks and quality benchmarking