AI Product Engineer
Posted 2 Sep 2026
Advertised as “Remote Senior AI Product Engineer for a Climate Tech SaaS Company”
BranchFactor Summary
The original posting with the fluff stripped out
- Expected experience
- 5–10 yrs
- Management level
- Individual contributor
- Employment
- Remote
- Contract
- Full-time
No salary listed for this role.
Work From Anywhere in LATAM, North America, and Austria
Work Schedule: US Timezone (Flexible) │ 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
Pearl works with the top 1% of candidates from around the world and connects them with the best startups in the US and EU. Our clients have raised over $5B in aggregate and are backed by companies like OpenAI, a16z, and Founders Fund.
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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