Bespoke Labs

Financial Planning and Analysis

• Set strategy across the three corporate finance pillars; own the annual plan and quarterly re-forecasts.
• Lead capital allocation decisions: which projects clear the WACC hurdle, which get funded, and at what size.
• Partner with Treasury to manage liquidity, banking relationships, FX exposure, and short-term funding backups.
• Own monthly close, financial statements, board reporting, variance commentary, and taxation workflows.
• Recommend dividend, buyback, and other shareholder-return decisions to the CFO and board.
• Lead and mentor a small team (3–5); set hiring bar, run reviews, and partner across the company.

Tech Lead – Corporate Finance

Backend Engineer

• Design and own the sandboxing and execution layer that environments run inside.
• Build systems to snapshot and restore environment state (disk, process, and where relevant memory and accelerator state) so runs can be paused, resumed, inspected, and branched rather than executed once.
• Develop the machinery to detect failure modes early in a rollout (reward hacks, infra faults, fairness issues) and to revert to a known-good state, patch, and continue.
• Extend execution to long-horizon and multi-node environments, where an agent operates across many tools and services over hours or days.
• Own the performance characteristics of the platform: throughput, latency, and cost-per-rollout at scale.
• Drive utilization and scheduling so we can run far more environment rollouts per dollar without sacrificing reliability.
• Profile and remove bottlenecks across the stack, from container startup to environment teardown.
• Build the observability that lets us understand what's happening inside thousands of concurrent, long-running rollouts.
• Build and maintain the framework for specifying, packaging, and deploying RL environments which is used by both humans and agents authoring environments internally.
• Create the tooling that lets researchers and environment authors debug a specific failure across hundreds of long agent traces.
• Scale prototypes into production systems with reproducible workflows and high engineering standards.
• Write the documentation and tools that let internal teams and external users build on the platform.