In a world of constantly evolving privacy policies and regulations, the risk of regulatory violations, fines, and potential brand damage is paralyzing business agility and operational execution.
Velotix introduces a truly unique AI-driven data security platform that removes risk, automates policy management at scale, and provides fast, calculated access to data. Think of Velotix as the glue between an organization’s data sets (lakes, databases, etc.) and the analytical tools they use to curate and present (Power BI, Tableau).
We’re looking for a Professional Services Engineer to join our growing team! You’ll work closely with customers worldwide to implement, customize, and integrate our SaaS solutions — collaborating across R&D and Product teams to deliver outstanding results.
If you love technology, customer success, and global travel, this role is for you!
Responsibilities
- Lead technical onboarding and integration projects for enterprise customers.
- Write Python Script scripts to customize solutions.
- Manage databases and execute SQL queries and optimizations.
- Work with APIs for seamless customer integrations.
- Collaborate using GitHub for version control
- Partner closely with R&D and Product teams to drive innovation.
- Manage multiple projects, ensuring timely delivery and high customer satisfaction.
Requirements
- Bachelor’s degree in Computer Science, Engineering, or related fields.
- 5+ years in customer-facing technical roles (Professional Services, Solutions Engineering, Customer Success, etc.).
- Strong Python coding skills.
- Solid knowledge of databases (SQL) and API integration.
- Hands-on experience working in a SaaS products.
- Familiarity with GitHub and Jira ticketing systems.
- Excellent communication, problem-solving, and project management skills.
- Flexibility and willingness to travel internationally, meet and support customers On-site when needed.
Nice-to-Haves
- Experience in startups, scale-ups, or fast-paced SaaS companies.
- Knowledge of additional languages like Java.
- Familiarity with cloud (GCP, AWS, Azure)
