What You'll Do
- This role works with the backbone of our ML and AI services that power engaging user experiences
- Working from end-to-end on live production services. Not just rank-tuning or query optimizations, and not theoretical. The work you do will directly impact our customers' day-to-day experiences
- Define the best approach to solve NLP and information retrieval problems. Build data pipelines and first-rate search experiences. Test and Validate services. Deploy and monitor solutions for impact
- Build scalable web services to orchestrate and surface underlying Search and ML models
- Mine usage data to power features and guide development
- Participate in the technical planning, user story/technical acceptance creation, and implementation
- Plan technical architectures that minimize or eliminate performance problems, complexity, or solution fragility
- Work independently and mentor more junior team members
- Identify and solve complex problems
Requirements
- 7+ years of professional experience building scalable and reliable search applications
- Expert-level Python
- Knowledge of Search and Clickstream analytics
- Ability to mentor and share knowledge with team members
- Independent, self-managed, and motivated
- Good command of the English language
Nice to Have
- Additional technical experience with any of the following is a plus: Elasticsearch, Vector Search, Recommendation Engines, Redis, Notification Services, AWS (or any other Cloud provider)
- Bachelor’s degree or higher in Computer Science, Engineering, or Information Systems
Compensation
- Total compensation: 65,000 - 125,000 EUR
- The total compensation range listed here has been provided to comply with local regulations and represents a potential total compensation range for this role. Please note that actual total compensation 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's total compensation may be composed of other types of compensation, such as variable bonus and/or stock bonus.
#RemoteSpain#LI-MidSenior
Skills Required
- 7+ years of professional experience building scalable and reliable search applications
- Expert-level Python
- Knowledge of Search and Clickstream analytics
- Ability to mentor and share knowledge with team members
- Independent, self-managed, and motivated
- Good command of the English language
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.
Veeva Insights
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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