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.

Full-stack Engineer

• Build and own full-stack platforms from APIs to user interfaces
• Develop backend services using Python and scalable async architectures
• Build modern frontends using TypeScript and NextJS
• Design and operate data layers using PostgreSQL and ElasticSearch
• Integrate and work with LLM APIs, agent frameworks, or agentic workflows
• Deploy and operate systems on AWS/GCP
• Make architecture and design decisions with speed and ownership

Full Stack Engineer

• Research, develop, and validate systematic trading strategies — including statistical arbitrage, momentum, mean reversion, and factor models
• Write clean Python code to implement backtesting frameworks, signal generation pipelines, and execution logic with proper out-of-sample validation and transaction cost modelling
• Develop quantitative trading tasks grounded in market microstructure and financial theory (e.g. alpha decay analysis, regime detection, portfolio construction under realistic constraints)
• Work directly with trading infrastructure, execution systems, and risk tooling to debug and validate strategy behaviour at the portfolio level in a simulated context
• Perform risk analysis including factor exposure decomposition, drawdown analysis, and stress testing across market regimes
• Document research methodology, model assumptions, and backtest results to rigorous engineering and research standards

Quantitative Financial Specialist

Manager

• Engagement Manager primarily owning customer relationships for AI labs and enterprises.
• Drive engagements end-to-end from kickoff through delivery, ensuring quality of output.
• Act as a bridge by translating customer objectives to internal teams for project execution.
• Manage multiple concurrent engagements with attention to tracking, documentation and customer follow-up.
• Identify expansion opportunities and scope follow-on projects to drive growth.

Engagement Manager

• Own meaningful technical work end-to-end — from design through deployment
• Build and maintain backend services, APIs, and data pipelines
• Collaborate with researchers and ML engineers to ship high-impact features
• Contribute to architectural decisions, not just implement them
• Write clean, well-tested, well-documented code
• Debug and resolve issues across complex distributed systems
• Participate in code reviews and help raise the technical bar

Software Engineer – Mid-Level

DevOps Engineer

• Own cloud infrastructure on AWS — EC2, EKS, RDS, S3, IAM
• Manage Kubernetes clusters and container orchestration end-to-end
• Build and maintain CI/CD pipelines using GitHub Actions or similar
• Implement monitoring, alerting, and observability stacks (Prometheus, Grafana, or DataDog)
• Improve reliability, performance, and security of production systems
• Automate infrastructure with Terraform or similar IaC tools
• Debug and resolve issues across complex, distributed systems
• Participate in design reviews and help raise the infrastructure bar

Bespoke Labs

Tech Lead – Corporate Finance

Backend Engineer

Full Stack Engineer

Full Stack Engineer

Quantitative Financial Specialist

Engagement Manager

Software Engineer – Mid-Level

DevOps Engineer – Site Reliability Engineer

DevOps Engineer – Contract, Prod E2E Test