Development Manager

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.

 

Join us in transforming the life sciences industry, committed to making a positive impact on its customers, employees, and communities.

We are looking for an experienced and technically rigorous Development Manager to lead the end-to-end engineering and product delivery of our core software solutions. In this role, you will bridge technical architecture with product vision across modern tech stacks (Python, Java, Vue.js, and multi-cloud environments) while driving the practical integration of Generative AI across the SDLC. Additionally, you will champion the operationalization of production-grade AI Agents and custom Skills to power intelligent product capabilities.

Team Leadership & Talent Development: Lead capacity planning, recruitment, onboarding, and structure of the engineering team; mentor developers, technical workshops, and career development frameworks to foster engineering excellence.

Architecture & Engineering Delivery: Direct end-to-end technical selection and system architecture across Python, Java, and Vue.js frameworks, ensuring software systems are modular, highly scalable, and secure.

AI-Augmented SDLC Integration: Champion and embed AI tooling directly into the Software Development Life Cycle (SDLC)—including automated testing, code review workflows, and developer productivity tooling—to measurably boost engineering velocity and code quality.

Agent & Skill Productization: Architect and deliver production-grade AI Agents and custom extensible Skills/Tools, leveraging patterns such as Function Calling, RAG (Retrieval-Augmented Generation), and memory management to solve complex business scenarios.

Cloud & Infrastructure Governance: Design and govern resilient cloud architectures on AWS and Alibaba Cloud, overseeing containerization, service orchestration, and high-throughput middleware systems (e.g., Kafka, RabbitMQ, Redis).

Data Modeling & Standards: Establish enterprise data modeling standards (conceptual, logical, and physical), lead database schema optimization, and ensure consistent, high-performance data access across relational and non-relational storage engines.

Cross-Functional Delivery: Partner closely with Product Managers, algorithm engineers, QA, and domain specialists to manage agile sprints (Scrum/Kanban), mitigate technical risks, and ensure predictable, high-quality milestone delivery.

Experience: Bachelor’s degree in Computer Science, Software Engineering, or a related field; 5+ years of software development and system architecture experience, with 2+ years of technical team leadership or project management experience.

Technical Stack: Deep proficiency in Python and/or Java with solid hands-on engineering experience in the other; proven expertise with Vue.js (Vue 2/3, Pinia/Vuex) and enterprise frameworks (such as Spring Boot/Cloud, FastAPI, or Django).

Cloud & Middleware: Strong working knowledge of cloud-native services on AWS (e.g., ECS/EKS, RDS, S3) and/or Alibaba Cloud (e.g., ACK, RDS, OSS), alongside in-depth experience configuring and tuning middleware (Redis, Kafka, RabbitMQ).

AI in SDLC Practice: Demonstrated hands-on track record of integrating AI tools into daily SDLC workflows (e.g., GitHub Copilot, Cursor, internal DevOps bots) with measurable gains in delivery efficiency.

AI Agent & Skill Development: Practical experience designing and deploying production-level AI Agents or custom agentic skills, utilizing frameworks such as LangChain, LlamaIndex, Dify, or Semantic Kernel, with solid command of tool calling and prompt engineering.

Data Systems & Modeling: Proven mastery of database schema design and data modeling specifications across mainstream relational (MySQL, PostgreSQL) and NoSQL databases, including indexing, query optimization, and high-concurrency storage strategies.

Leadership & Communication: Exceptional problem-solving and architectural governance skills, with the ability to articulate complex technical concepts to non-technical stakeholders and translate business goals into actionable engineering roadmaps.

Domain Expertise: Professional software development background in Life Sciences, Biotechnology, Pharmaceuticals, Medical Devices, or Clinical Healthcare informatics.

Compliance & Data Standards: Familiarity with healthcare/life science data standards and regulatory compliance frameworks (e.g., GxP, HIPAA, HL7/FHIR, healthcare data anonymization/security).

Advanced AI & Vector Data: Hands-on exposure to Vector Databases (e.g., Milvus, pgvector, Pinecone) or experience implementing multi-agent coordination architectures.

Grants for fitness, communication and heating

Healthy, free, provided snacks

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.