# Staff Software Engineer (AI) at Pendo

- Company: Pendo
- What the company does: Backed by Battery and Sapphire.
- Company website: http://www.pendo.io/
- Type: Startups (AI role)
- Level: Senior
- Location: New York, NY
- Work setup: On-site
- Pay: $300K to $325K base salary per year (USD)
- Posted: 2026-05-05
- Apply by: 2026-10-08
- Apply: https://job-boards.greenhouse.io/pendo/jobs/8533499002
- Page: https://www.1752.vc/careers/jobs/pendo-staff-software-engineer-ai/

## About the role

Our Emerging Team is focused on building AI Products for our product experience (PX) platform. We build from the ground up to explore, prototype, and ship AI-native experiences that change how software teams understand and serve their users. This is not an AI layer added to existing product; it is a deliberate bet on what product intelligence looks like next. The team operates with high autonomy, moves quickly, and builds products without clear precedents.

## What they're looking for

- Deep hands-on experience building and shipping LLM-powered systems, including retrieval-augmented generation, tool use, and agent orchestration frameworks
- Demonstrated ability to set technical direction for AI systems across teams, establish architectural patterns, make foundational model strategy decisions, and raise the bar for AI engineering quality
- Experience owning outcomes across team boundaries, including identifying capability gaps, driving alignment across engineering and product, and influencing how a broader organization approaches AI
- Strong command of model evaluation, including designing evaluation suites, reasoning about overfitting and bias-variance tradeoffs, and systematically detecting and mitigating hallucinations
- Solid understanding of modern model architectures, including transformers and diffusion models, with the ability to make informed decisions about when and how to apply them
- Production Productionize AI experience, including model deployment, monitoring pipelines, and latency, cost, and reliability optimization in live environments

Tags: Engineering - Emerging