Founding engineering member building an AI-driven life-sciences SaaS platform. Own features end-to-end from design to production support, drive technical solutions, enforce best practices, perform expert code reviews, and mentor engineers to grow the team and deliver scalable, high-volume products.
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
As Principal Software Engineer for a new product within Veeva, you will be a founding member of a team building our next major AI-driven platform — one that will transform how Life Sciences companies manage safety, regulatory, and clinical development.
You will influence and help grow a codebase and engineering organization from the ground up, wearing multiple hats across the engineering organization. The team will be AI-first in two meaningful ways: using AI to drive engineering productivity and strong engineering discipline, and building a product that applies AI in genuinely innovative ways to problems that matter.
Within your first year, you will have live customers on the platform and a thriving, growing team behind it - directly accelerating how customers bring life-saving products to market.
What You'll Do
- Full Feature Ownership: Own all stages of feature implementation, from design and development through deployment, production support, and maintenance. Daily code contribution using AI assistance for productivity
- Drive Solutions: Collaborate with Product Management and Development on technical design and problem-solving to deliver great code
- Rapid Problem Solving: Quickly analyze complex problems, identifying knowns and unknowns, to accelerate the path to robust solutions
- Develop Best Practices: Define, promote, and mentor on engineering best practices and coding standards, including the latest approaches to AI assisted engineering
- Expert Code Review: Provide comprehensive code reviews for engineers of all experience levels
- Strategic Mentorship: Develop the skills of engineering talent through structured mentorship
Requirements
- Seasoned Software Engineer: 12+ years of proven software development expertise (Production level Python development required)
- Enterprise SaaS Leader: Extensive experience developing high-scale enterprise SaaS cloud applications
- Scalability Expert: Proven track record of architecting and building high-volume products at scale
- Open Source Proficiency: Hands-on development experience with current open-source tools and technologies, including Python, Git, FastAPI, Pydantic
- Fast-Paced Adaptability: Highly driven and flexible, enjoys a fast-paced start-up environment, and believes in having fun along the way
- Mentorship: Proven ability to mentor and elevate team performance, fostering growth and excellence
- High work ethic: Veeva is a hard-working company
- High integrity and honesty: Veeva is a PBC and a “do the right thing” company. We expect that from all employees
- Excellent verbal and written English communication skills: Engineering is not all about the code, it’s also about communication
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
- PTO and company-paid holidays
- Retirement programs
- 1% charitable giving program
Compensation
- Base pay: $180,000 - $275,000 CAD
- 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-Principal
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].
Similar Jobs
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Lead design and implementation of data integration and AI-powered automations. Build ITX transformation maps, optimize SQL databases, author SSRS reports and PowerShell automation, troubleshoot production issues across claims platforms, and support client migrations and product transitions.
Top Skills:
837 EdiAWSClearhealthCodeeditsDesign StudioGithub CopilotIrrItx (Ibm Transformation Extender)Microsoft Copilot 365PowershellSQLSsrsUmr/Ppcv
Digital Media • Gaming • Information Technology • Software • Sports • Esports • Big Data Analytics
Lead planning and execution of cross-team software initiatives, maintain delivery visibility, manage risks and dependencies, strengthen Agile practices, use metrics and OKRs to improve predictability, and coordinate stakeholders to ensure timely launches and continuous improvement.
Top Skills:
AirtableChatgptClaudeGeminiGoogle WorkspaceJIRAJpd
Fintech • Financial Services
Own end-to-end full-stack features for servicing applications: design, implement, deploy, monitor, and optimize front-end (Next.js/React + NestJS GraphQL) and back-end (.NET/C# + NestJS). Deploy and operate on AWS/EKS with CI/CD, use AI code tools to boost development, participate in on-call rotations, mentor junior engineers, and collaborate with product, design, and analytics teams to improve user experience.
Top Skills:
.NetAi Code Generation ToolsAmazon EksAnthropic Claude CodeAWSC#Ci/CdCursorGithub CopilotGraphQLKubernetesNestjsNext.JsReact
What you need to know about the Colorado Tech Scene
With a business-friendly climate and research universities like CU Boulder and Colorado State, Colorado has made a name for itself as a startup ecosystem. The state boasts a skilled workforce and high quality of life thanks to its affordable housing, vibrant cultural scene and unparalleled opportunities for outdoor recreation. Colorado is also home to the National Renewable Energy Laboratory, helping cement its status as a hub for renewable energy innovation.
Key Facts About Colorado Tech
- Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3
- Key Industries: Software, artificial intelligence, aerospace, e-commerce, fintech, healthtech
- Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures
- Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute
