Member of Technical Staff (New Grad)
About the role
Ambral is building a replayable environment engine to improve enterprise AI-powered workflows. This role focuses on building production-grade software and infrastructure to enable continuous model improvement in real enterprise histories, with direct collaboration with the CTO and customer-facing deployment.
Responsibilities
- Forward deploying with our customers to understand their tasks and data
- Developing the environment factory that converts recorded enterprise data and task definitions into runnable environments
- Designing graders to turn ambiguous business objectives into verifiable rewards
- Developing methods for mining useful tasks, trajectories, and evaluation cases from historical workflows
- Experimenting with learning objectives and task design
- Creating eval sets that are representative, reproducible, and resistant to overfitting
- Finding the right combinations of models, tools, context, and policies to maximize performance while reducing inference cost
- Building replay and observability systems that make agent behavior explainable and measurable
- You’ll work directly with the CTO, deploy into real enterprise workflows, and see your implementations tested against consequential problems and observable outcomes
Qualifications
- You have experience building production-grade software (internships are ok) or in a quant role
- You write strong software and can build systems that process large, messy datasets at scale
- You have great intuition about systems, abstraction, and data structures
- You’re comfortable turning fuzzy business objectives into tasks and signals that can be evaluated reliably
- You can diagnose whether a model’s limitations come from the model itself, its context, its tools, its harness, or its training
- You can move between research questions and production implementation without treating them as separate jobs
- You care about reproducibility, observability, and understanding why a model behaves the way it does
- You’re looking to do the best work of your life and build something you’ll be proud of for decades
Skills
Benefits
- Significant equity and ownership
- Equinox membership
- Free meals, coffee, and snacks
- Health insurance
- Unlimited PTO
About Ambral
AI-powered Account Managers
Ambral is an AI Account Management team. Ambral synthesizes signals from all customer activity and interactions into AI-powered models of every account. It pinpoints who needs attention and why, and autonomously drives or recommends expansions, prevents churn, and ensures no customer slips through the cracks. It's like mission control for your customers. Team: Sam (CEO): 2x founder. Led AI at Everlywell and early PM at Wonder (now valued at $7bn). Lived the pain of losing customer intimacy at scale and is obsessed with solving it. Cornell CS alum. Jack (CTO): Ex-SpaceX Flight Software Special Projects, where he developed telemetry routing and analysis systems for the most complex machines ever created. He’s now doing the same for the complexities of customer relationships. Cornell CS alum. Why: As B2B companies scale, the founder-level customer intimacy that drives early growth becomes impossible to maintain. Customer context that once fit in a founder's head scatters across systems, logs, and communication channels, drowning teams in noise no human can make sense of. Account managers juggling multiple customers become reactive firefighters, bleeding revenue through missed upsells and preventable churn. We've lived this pain and are building Ambral to help teams scale their most valuable asset: customer obsession.
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