Work From Anywhere in LATAM
Work Schedule: US Timezone (Adaptable) │ Overlap required with US/Austin afternoon–evening hours, plus a minimum 4-hour daily overlap with CET mornings (Europe-based engineering team)

About Pearl Talent
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About the Client
An early-stage climate tech SaaS company is looking for a Senior AI Product Engineer to own end-to-end product feature delivery for its real-time carbon footprint and lifecycle assessment software.
The company is seed-stage, VC-backed, and intentionally small — a lean, fully remote team of engineers split across Europe and the Americas, with no formal management hierarchy. They serve enterprise manufacturing clients and have demonstrated strong commercial traction, and are now expanding their engineering bench to keep pace with growing customer demand.

About the Role
This role sits at the center of the product: you'll take loosely defined business outcomes and independently define, build, and ship the technical solution, working across the full stack as needed. You'll integrate AI/LLM tools into your workflow to accelerate delivery, and you'll collaborate async-first across US and European hours. Success means shipping meaningful features with minimal oversight while keeping the team informed through clear, proactive communication.

Core Responsibilities
Product Engineering & Feature Development
Own end-to-end delivery of product features, from ambiguous outcome to production-ready code
Write clean, scalable, production-grade code across the stack as needed
Integrate AI/LLM tools (e.g.,



GitHub Copilot, Cursor, ChatGPT) to accelerate development cycles
Build features supporting real-time, component-level data processing and reporting
Product Thinking & Outcome Definition
Translate high-level business outcomes into concrete technical approaches and execution plans
Proactively identify product direction, user needs, and feature priorities without waiting on task assignment
Contribute ideas to the product roadmap, balancing customer impact with engineering feasibility
Define and track success criteria for your own work against business outcomes
Async Communication & Collaboration
Communicate progress, blockers, and decisions clearly and proactively in a fully remote, async-first environment
Collaborate daily with the Europe-based engineering team across timezone boundaries
Document technical decisions and share context broadly to keep the team aligned without relying on meetings
Customer & Business Context Integration
Maintain awareness of how engineering work impacts enterprise customer outcomes
Coordinate with US-based stakeholders during overlapping hours on business priorities
Participate in technical evaluations or trial periods to validate fit
Requirements
Must-Have
5–10 years of professional software engineering experience, including 2+ years in a senior or founding-engineer capacity
Demonstrated track record independently owning features end-to-end — from ambiguous requirements to production deployment — at an early-stage (seed–Series B) company




Full-stack development experience with the ability to work across the stack as needed (specific tech stack to be confirmed during interviews)
Hands-on experience integrating AI/LLM-assisted development tools (e.g., GitHub Copilot, Cursor, ChatGPT) into daily engineering work
Experience working in fully remote, distributed engineering teams using async-first documentation and communication practices
Availability to work hours overlapping both US/Austin afternoons and CET mornings (minimum 4-hour daily overlap with the European team)
English proficiency at C1+ (CEFR)

Nice-to-Have
Experience in climate tech, carbon accounting, lifecycle assessment (LCA), or electronics/supply chain software
Prior experience as a founding engineer or early technical hire (pre-Series A)
Familiarity with enterprise B2B SaaS product development
Experience contributing to product roadmap or strategy decisions beyond pure execution
Benefits
Competitive Salary: Based on experience and skills
Remote Work: Fully remote—work from anywhere
Team Incentives: Recognition for maintaining 100% CRM hygiene and on-time reporting
Generous PTO: In accordance with company policy
Health Coverage for PH-based talents: HMO coverage after 3 months for full-time employees
Direct Mentorship: Guidance from international industry experts
Learning & Development: Ongoing access to resources for professional growth
Global Networking: Connect with professionals worldwide

Our Recruitment Process Application
Screening
Skills Assessment
Topgrading Interview
Client Interview
Job Offer
Client Onboarding

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📌 Remote Senior AI Product Engineer for a Climate Tech SaaS comapany (Ciudad de México)
🏢 Pearl
📍 Ciudad de México