Technical Curriculum Developer

Veeva Systems

Confirmed live today Trusted
Remote

Quick summary

Work type
Remote
Location
Boston, MA
Salary
$100,000–$175,000 / yr
Posted
81 days ago
Freshness
Confirmed live today

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $214k
This role $138k
$81k $281k
below market most similar roles pay here above market

This role pays less than 91% of similar roles. Most pay $174,500–$252,750 — the blue band above. At the midpoint, this role pays about $138k versus about $214k for comparable roles.

Based on 240 similar postings.

Employer

About Veeva Systems

Veeva Systems is a cloud software company serving the global life sciences industry, providing CRM, clinical, regulatory, quality, and data applications used by pharmaceutical and biotech companies.

Veeva Systems currently has 72 open roles on FindRole.

Listed pay typically runs $80,000–$175,000 across 69 roles with salary data.

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View all roles at Veeva Systems

At a glance

TL;DR · Technical Curriculum Developer

The Technical Curriculum Developer - AI Agents joins the team to design and build technical training for customers, partners, and internal users. This role involves creating hands-on lab environments, reference implementations, and training content for the platform's Agentic AI capabilities. You will build AI agents for demos and labs while owning advanced technical courses requiring Java and REST API fluency. Key responsibilities include translating complex concepts like tool calling, RAG, context management, and multi-agent orchestration into sequenced learning experiences. Required skills include experience with frameworks like LangChain, LangGraph, or Anthropic's Claude Agent SDK, as well as proficiency with Git and Postman. You must be able to navigate unfamiliar architectures to build working agent demos and solve practical problems like flaky tool calls or context overflow.

What you'll do

  • Design and build hands-on training and lab environments for building and deploying custom AI agents.
  • Build working AI agent demos and reference implementations from scratch to anchor training content.
  • Translate complex agentic AI challenges like tool calling and prompt design into sequenced learning experiences.
  • Own and maintain advanced technical courses requiring Java coding and REST API fluency.
  • Build and maintain hands-on lab environments, sample code, and sandbox data for real implementation scenarios.
  • Partner with Product and Engineering teams to build courseware alongside new feature releases.
  • Identify customer pain points with Professional Services and Support to close knowledge gaps through curriculum.

What we're looking for

  • Bachelor's degree in Computer Science, Engineering, Instructional Design, or equivalent practical experience.
  • 3+ years of experience building technical training, curriculum, or enablement content for a technical audience.
  • Hands-on experience building, configuring, and deploying AI agents using frameworks like LangChain, LangGraph, or Anthropic's Claude Agent SDK.
  • Practical understanding of tool/function calling, RAG, context/memory management, multi-agent orchestration, prompt engineering, and evaluation.
  • Ability to read and understand Java code architecture and classes for minor development or debugging.
  • Strong foundational knowledge of REST APIs and experience with Git, Postman, or similar API tooling.
  • Experience designing hands-on labs, sandbox exercises, and high-quality instructor-led courses or eLearning.
  • Experience with the Model Context Protocol (MCP) or comparable tool-integration standards (preferred).

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