Job description

Veeva Systems is a mission-driven organization and pioneer in industry cloud, helping life sciences companies bring therapies to patients faster. As one of the fastest-growing SaaS companies in history, we surpassed $3B in revenue in our last fiscal year with extensive growth potential ahead. At the heart of Veeva are our values: Do the Right Thing, Customer Success, Employee Success, and Speed. We're not just any public company – we made history in 2021 by becoming a public benefit corporation (PBC), legally bound to balancing the interests of customers, employees, society, and investors. As a Work Anywhere company, we support your flexibility to work from home or in the office, so you can thrive in your ideal environment. Join us in transforming the life sciences industry , committed to making a positive impact on its customers, employees, and communities. The Role This is not a traditional curriculum developer role - please do not apply if you have dabbled with AI agents. In this unique role, we are accepting applications for two different personas: The AI Solutions Engineer turned Mentor/Coach - you have an engineering/development background and have become the AI/Technical Trainer to teach learners how AI agents to build and configure agents and AI best practices. The Technical Curriculum Developer turned AI Builder - you have a passion for teaching others deep technical topics, and have the curiosity and drive to learn and vibe code agentic solutions/integrations. If you are one of these profiles and have proven, demonstrable experience - please apply now! You'll build the training that teaches customers, partners and Veevans how to use, configure, and implement and integrate our platform — including its Agentic AI capabilities — and you'll build the AI agents that power our demos and hands-on labs. You should be able to walk into an unfamiliar product area, understand its architecture and APIs, and within days be building working agent demos and lab exercises around it. You'll also own and evolve our most technical training courses, the coding-intensive classes that require real Java and REST API fluency, bringing rigor and firsthand credibility that generalist curriculum developers can't. What You'll Do AI Agent Curriculum & Enablement Design and build hands-on training and lab environments that teach technical learners how to build, configure, and deploy custom AI agents on our platform Build working AI agent demos and reference implementations from scratch to anchor training content and live demonstrations Translate the practical challenges learners face when configuring or implementing Agentic AI — tool/function calling, context management, prompt design, error handling, guardrails, orchestration — into clear, sequenced learning experiences Stay current with the agentic AI landscape (frameworks, MCP-style tool integrations, agent orchestration patterns) Technical Curriculum Development Own and maintain our advanced technical courses, including classes that require coding in Java and working with REST APIs Build and maintain hands-on lab environments, sample code, sandbox data, and technical exercises that mirror real implementation scenarios Partner with Product and Engineering to get early access to new features and build courseware alongside General release Apply instructional design best practices (learning objectives, scaffolding, assessment design, adult learning principles) to technical content without watering down technical accuracy Cross-Functional Collaboration Work closely with Product Management and Engineering to understand agent architecture, APIs, and configuration options as they're being built Partner with Professional Services, Managed Services and Customer Support to identify pain points and close those gaps with curriculum Requirements Bachelor's degree in Computer Science, Engineering, Instructional Design, or equivalent practical experience Hands-on experience building, configuring, and deploying AI agents (e.g., using frameworks/SDKs such as LangChain, LangGraph, Anthropic's Claude Agent SDK/Claude Code, or similar) Practical understanding of core agent concepts: tool/function calling, retrieval-augmented generation (RAG), context/memory management, multi-agent orchestration, prompt engineering, and evaluation Experience with the Model Context Protocol (MCP) or comparable tool-integration standards is a strong plus First-hand experience troubleshooting the real problems agent builders hit — flaky tool calls, context overflow, hallucinated actions, permission/scoping issues — so you can teach learners to anticipate and solve them, not just follow a script Ability to read and understand Java code architecture and classes for minor development or debugging, alongside a strong foundational knowledge of REST APIs Experience with Git, Postman, or similar API tooling 3+ years building technical training, curriculum, or enablement content for a technical audience (developers, implementation consultants, technical admins, or power users) Experience designing hands-on labs, sandbox exercises, and high quality instructor-led courses and/or eLearning Familiarity with LMS platforms and AI/authoring tools (e.g., Articulate, Camtasia, Arcade, Vyond, Gemini, Claude or similar) is a plus Experience with Veeva Vault, or ability to quickly ramp up on, complex enterprise SaaS platforms — including how Veeva Vault is configured and implemented by customers Self-directed and comfortable with ambiguity — this role will often be defining the curriculum for capabilities that are still being built Strong writing and technical communication skills; able to explain complex technical concepts clearly to varied audiences (technical and semi-technical learners) Strong presentation and facilitation skills; comfortable leading live demos and workshops Interviewing with Veeva We value your time and believe in a transparent hiring process. Here is the process you can expect. Follow the application process and submit your resume. Within 3 days, you will receive a link to a personality assessment administered by a third party. Once you complete the assessment, our team will review your full application package and follow up via email with our decision. If moving to the interview stage, the process is as follows: A conversation with the hiring manager A practical case exercise A final conversation with our group's Senior Leader. Once all interviews are complete, the manager will be in touch with a final decision. Perks & Benefits Medical, dental, vision, and basic life insurance Flexible PTO and company paid holidays Retirement programs 1% charitable giving program Compensation Base pay: $ 100,000 - $175,000 The salary range listed here has been provided to comply with local regulations and represents a potential base salary range for this role. Please note that actual salaries may vary within the range above or below, depending on experience and location. We look at compensation for each individual and base our offer on your unique qualifications, experience, and expected contributions. This position may also be eligible for other types of compensation in addition to base salary, such as variable bonus and/or stock bonus. #LI-Remote #LI-Associate Veeva’s headquarters is located in the San Francisco Bay Area with offices in more than 15 countries around the world. Veeva is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity or expression, religion, national origin or ancestry, age, disability, marital status, pregnancy, protected veteran status, protected genetic information, political affiliation, or any other characteristics protected by local laws, regulations, or ordinances. If you need assistance or accommodation due to a disability or special need when applying for a role or in our recruitment process, please contact us at talent_accommodations@veeva.com .

Requirements

Must-haves

As a Work Anywhere company, we support your flexibility to work from home or in the office, so you can thrive in your ideal environment.
Join us in transforming the life sciences industry , committed to making a positive impact on its customers, employees, and communities.
This is not a traditional curriculum developer role - please do not apply if you have dabbled with AI agents. In this unique role, we are accepting applications for two different personas:
The AI Solutions Engineer turned Mentor/Coach - you have an engineering/development background and have become the AI/Technical Trainer to teach learners how AI agents to build and configure agents and AI best practices.
The Technical Curriculum Developer turned AI Builder - you have a passion for teaching others deep technical topics, and have the curiosity and drive to learn and vibe code agentic solutions/integrations.
If you are one of these profiles and have proven, demonstrable experience - please apply now!
You should be able to walk into an unfamiliar product area, understand its architecture and APIs, and within days be building working agent demos and lab exercises around it.
AI Agent Curriculum & Enablement
Design and build hands-on training and lab environments that teach technical learners how to build, configure, and deploy custom AI agents on our platform
Build working AI agent demos and reference implementations from scratch to anchor training content and live demonstrations
Stay current with the agentic AI landscape (frameworks, MCP-style tool integrations, agent orchestration patterns)
Technical Curriculum Development
Own and maintain our advanced technical courses, including classes that require coding in Java and working with REST APIs
Build and maintain hands-on lab environments, sample code, sandbox data, and technical exercises that mirror real implementation scenarios
Partner with Product and Engineering to get early access to new features and build courseware alongside General release
Apply instructional design best practices (learning objectives, scaffolding, assessment design, adult learning principles) to technical content without watering down technical accuracy
Cross-Functional Collaboration
Work closely with Product Management and Engineering to understand agent architecture, APIs, and configuration options as they're being built
Partner with Professional Services, Managed Services and Customer Support to identify pain points and close those gaps with curriculum
Bachelor's degree in Computer Science, Engineering, Instructional Design, or equivalent practical experience
Hands-on experience building, configuring, and deploying AI agents (e.g., using frameworks/SDKs such as LangChain, LangGraph, Anthropic's Claude Agent SDK/Claude Code, or similar)
Practical understanding of core agent concepts: tool/function calling, retrieval-augmented generation (RAG), context/memory management, multi-agent orchestration, prompt engineering, and evaluation
Experience with the Model Context Protocol (MCP) or comparable tool-integration standards is a strong plus

Nice-to-haves

Familiarity with LMS platforms and AI/authoring tools (e.g., Articulate, Camtasia, Arcade, Vyond, Gemini, Claude or similar) is a plus

Application prep

Use the role’s language and application details while tailoring your materials.

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Benefits

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