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Pendo

SaaS platform for product analytics

Software Engineer - AI

AI Application Engineering +1Confirmed live in the last 24 hours
Full-timeNew York, NY, USA

About the Job

Requirements

  • At least 3 years of experience shipping full-stack features to production in a SaaS environment.
  • Strong proficiency in at least one backend language such as Go, Java, Python, or C++, and one modern frontend framework such as Vue, React, or Angular.
  • Experience designing APIs and building services on AWS or GCP against SQL databases.
  • Hands-on experience building with large language models, including API integration, prompt and context design, or tool calling; professional or substantial personal work is acceptable, with evidence of having built something and learned where it breaks.
  • Experience with agent frameworks such as LangChain or LangGraph, and large language model evaluation tooling.
  • Ability to write unit, integration, and end-to-end tests based on risk, with comfort using safe rollout patterns such as feature flags and canary releases.
  • Demonstrated ability to take a well-scoped problem to production independently.
  • Active use of AI tools in the development workflow.
  • Strong written communication skills and a Bachelor of Science in Computer Science or equivalent experience.

Responsibilities

  • Ship full-stack features end to end across Go services and Vue interfaces, building reliable, usable, production-ready product experiences across backend and frontend boundaries.
  • Build customer installation and instrumentation experiences for agentic systems that are quick to adopt, hard to get wrong, and lightweight enough to run in production.
  • Capture agent behavior and make it understandable to customers, exposing tool calls, failures, latency, and mismatches between models and tool contracts.
  • Develop large language model-backed features, including prompt and context design, tool calling, and evaluation, and use hands-on judgment to improve how customers debug and understand agent behavior.
  • Ship in small increments behind feature flags and test according to product and technical risk, using tools such as Jest and Cypress while accounting for non-deterministic model output.
  • Own shipped production work through logging, monitoring, fast issue resolution, and follow-up work that reduces recurrence; write operable code.
  • Use AI tools as a normal part of the development workflow while remaining accountable for shipped work.
  • Provide useful code reviews, write durable documentation, estimate well-scoped work, and communicate clearly when work affects other systems or people.

Desired Qualifications

  • Experience building or operating an MCP server or comparable agent tooling.
  • Experience shipping SDKs or instrumentation libraries that customers install into their systems, including the versioning and overhead discipline required.
  • Experience with analytics or observability products that turn high volumes of events into actionable information.
  • Experience with Vue or data visualization tools such as Highcharts or D3.

About the Company

Pendo

SaaS platform for product analytics

Pendo provides a SaaS platform that helps software teams improve user experiences in their digital products. The platform integrates with a company’s existing software to collect user analytics, gather feedback, and deliver in-app messaging to guide users through features and updates. By turning user data into insights, Pendo helps product teams understand how people interact with their product and make data-driven decisions to improve engagement and adoption. What sets Pendo apart is its combination of analytics, feedback, and in-app guidance all in one connected platform, designed for a wide range of SaaS products from startups to enterprises. The company’s goal is to raise the quality of software experiences globally by helping teams create more valuable and easier-to-use products for their users.

Company size
501-1,000
Company stage
Growth Equity (Venture Capital)
Total funding
$468.3M
Headquarters
Raleigh, NC
Founded
2013

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