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Zenoti is a cloud-based SaaS platform serving the beauty and wellness industry, powering over 30,000 salons, spas, medspas, and fitness studios globally. The company has achieved unicorn status ($1B+ valuation) and recently raised $80M from TPG.
In this role, you will lead cross-functional engineering pods to design, build, and deploy production-grade Text-to-SQL and Natural Language Query (NLQ) platforms that enable non-technical business teams to query enterprise data. You will act as a technical leader and strategic advisor, partnering directly with business stakeholders to scope high-value analytical workflows and guide teams to build reliable, conversational data products capable of handling terabytes of data with 24x7 enterprise availability.
Key responsibilities include:
- Lead engineering pods to design and deploy Text-to-SQL and NLQ platforms connecting operational systems to cloud lakehouses (Amazon Redshift, Databricks Delta Lake, Unity Catalog)
- Partner with business stakeholders and leaders to diagnose operational bottlenecks, scope high-impact use cases, and deliver working solutions
- Architect governed semantic layers, business ontologies, metric views, and parameter mappings that ground language models in verified business logic
- Build robust microservices, REST APIs, and event-driven data pipelines connecting .NET/C# and SQL Server backends with Python, FastAPI, Databricks, and Amazon Redshift
- Collaborate with product managers, UI/UX designers, and frontend engineers to build responsive conversational data experiences with smart disambiguation, interactive filters, and query provenance
- Implement enterprise AI guardrails, evaluation suites, and observability frameworks (golden test datasets, prompt defense, token-cost tracking) to ensure safety, data privacy, and reliability
- Champion modern AI-assisted engineering practices (Claude Code, Cursor, Copilot) and create reusable engineering assets to accelerate team velocity
The role requires deep technical expertise across the full stack: from enterprise backend systems (.NET/C#, SQL Server) to modern cloud data platforms (Databricks, Redshift) and AI/ML infrastructure. You will mentor engineers, drive architectural decisions, and ensure production-grade reliability at scale.
REQUIREMENTS:
- 8+ years of experience designing, building, and operating enterprise-scale distributed software and cloud systems, with deep mastery of OOP and modern .NET/C# REST APIs
- Deep expertise in SQL Server (relational schema design, complex joins, views, aggregations)
- Hands-on experience building scalable data pipelines on Amazon Redshift and Databricks (Delta Lake, Unity Catalog) is a plus
- Strong proficiency in Python and experience with modern data engineering frameworks
- Experience with Azure cloud services
- Familiarity with Apache Spark and distributed computing concepts
- Background in SaaS companies is preferred
- Experience with Text-to-SQL, Natural Language Query systems, or LLM-powered applications is valued
- Demonstrated ability to lead cross-functional teams and mentor engineers
- Strong communication skills for partnering with business stakeholders
