- 5+ years of strong software engineering experience delivering production services or products, ideally at senior or staff level.
- Hands-on experience building AI/LLM-powered applications or agents with real users or operational use.
- Experience with evaluation methods for AI behavior: defining expected outcomes, building test sets or evals, tracking regressions, and acting on results.
- A data-first mindset: able to shape retrieval, context, and serialization to give a model the information needed for the task.
- Good judgment about tool use, autonomy, human review, failure handling, privacy, reliability, latency, and cost.
- A product-minded approach focused on solving specific workflow problems and measuring whether the solution works.
- Comfort learning tools and frameworks; experience with agent runtimes, model APIs, MCP, tracing, or evaluation tools is helpful.
The posted pay range represents the anticipated low and high end of the compensation for this position and is subject to change based on business need. To determine a successful candidate’s starting pay, we carefully consider a variety of factors, including primary work location, an evaluation of the candidate’s skills and experience, market demands, and internal parity.
For roles with on-target-earnings (OTE), the pay range includes both base salary and target incentive compensation. Target incentive compensation for some roles may include a ramping draw period. Compensation is higher for those who exceed targets. Candidates may receive more information from the recruiter.