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The software company powering the path to the world’s new medicines.
The Role
Design and build hands-on technical curriculum and lab environments teaching how to build, configure, deploy, and troubleshoot AI agents. Create working agent demos, Java/REST-based exercises, partner with Product and Engineering, and apply instructional design to advanced coding-intensive courses for customers, partners, and internal teams.
Summary Generated by Built In
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.
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.
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
- 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)
- 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
- 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
AI Agent Curriculum & Enablement
Technical Curriculum Development
Cross-Functional Collaboration
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
- 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.
We value your time and believe in a transparent hiring process. Here is the process you can expect.
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 [email protected].
Skills Required
- Bachelor's degree in Computer Science, Engineering, Instructional Design, or equivalent practical experience
- Hands-on experience building, configuring, and deploying AI agents (e.g., LangChain, LangGraph, Anthropic Claude Agent SDK/Claude Code)
- Practical understanding of core agent concepts: tool/function calling, RAG, context/memory management, multi-agent orchestration, prompt engineering, evaluation
- Experience with the Model Context Protocol (MCP) or comparable tool-integration standards
- First-hand experience troubleshooting agent builder issues (flaky tool calls, context overflow, hallucinated actions, permission/scoping problems)
- Ability to read and understand Java code architecture and classes and strong foundational knowledge of REST APIs
- Experience with Git and Postman or similar API tooling
- 3+ years building technical training, curriculum, or enablement content for technical audiences (developers, implementation consultants, technical admins)
- 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)
- Experience with Veeva Vault or ability to quickly ramp up on complex enterprise SaaS platforms
- Self-directed and comfortable with ambiguity
- Strong writing, technical communication, presentation, and facilitation skills
Veeva Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Veeva and has not been reviewed or approved by Veeva.
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Equity Value & Accessibility — Equity is broadly distributed across the company, positioning most employees as shareholders. Stock-based incentives can materially enhance total compensation, particularly at higher seniority.
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Flexible Benefits — Work Anywhere enables remote-first flexibility with options to use offices and to gather through offsites or coworking weeks. This structure supports collaboration while minimizing rigid on-site requirements.
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Healthcare Strength — Core coverage includes medical, dental, vision, HSA/FSA, life and disability, and EAP. Supplemental perks such as commuter assistance and wellness or gym reimbursements are available in some locations.
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The Company
What We Do
Veeva is the global leader in cloud software for the life sciences industry. Committed to innovation, product excellence, and customer success, Veeva serves more than 1,000 customers, ranging from the world’s largest pharmaceutical companies to emerging biotechs. As a Public Benefit Corporation, Veeva is committed to balancing the interests of all stakeholders, including customers, employees, shareholders, and the industries it serves.
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