Company Overview

Most companies don’t end in acquisition — they end in closure. Yet shutdown has never been given the same rigor, clarity, or professionalism as the moments that came before it. Nearly 4 million companies shut down every year, creating a massive, overlooked market. SimpleClosure is building the infrastructure to change that.

Having raised over $20M from leading VCs and trusted by more than 7,000 companies to date, we streamline the entire business dissolution process — from legal and tax to operational and administrative — as one coordinated effort instead of a patchwork of disconnected steps. We go a step further, helping companies sell their remaining assets and return the most value to their stakeholders, through our AssetHub.

As the leading platform for company shutdowns, we have something no one else does: a continuous, proprietary flow of companies winding down, and the assets they built along the way. Our buyers span the top AI labs, RL environment providers, vertical and enterprise agent builders, VCs and deal-flow partners, domain marketplaces, and much more. Dissolution is our wedge; the marketplace is a big part of where we’re headed.

Joining our AssetHub team means helping to define a new category from the ground up, working on complex, high-stakes problems, and building the products and processes that guide founders through one of the most consequential moments in a company’s life.

Job Overview

SimpleClosure is seeking an AI/ML Engineer to turn AssetHub’s one-of-a-kind inventory, and existing AI buyer relationships, into high-value AI-training products. When companies shut down, we acquire the real assets they built — production codebases, workspaces, and databases. Your job is to find the opportunities hidden in that inventory and build them: transforming real-world assets into derivative works — reinforcement-learning environments, agentic task suites, evaluations and verifiers, and training datasets — that are far more valuable to the AI labs, RL-environment providers, and agent builders who already buy from us.

This is a hands-on building role for someone who comes from the RL-environments and AI-training world and has actually created environments and products used to train or evaluate models — that background is essential. You’ll prototype fast, then harden what works into repeatable pipelines, working in a small, dedicated AssetHub pod alongside product, engineering, and the GM of AssetHub.

*Candidates MUST be located in the New York City Metro area.

Key Responsibilities

• Take AssetHub’s unique real-world assets — production codebases, workspaces, and databases — and identify how each can become a high-value AI-training product: RL environments, agentic task suites, evals and verifiers, benchmarks, and fine-tuning or trajectory datasets.