NinjaCat

Sales Engineer

• Partner with Sales to uncover customer goals and design solutions that align with their data, analytics, and reporting needs.**
• Deliver dynamic product demos highlighting NinjaCat’s core platform, AI agents, and automation workflows.**
• Translate customer requirements into actionable solution designs, technical proposals, and proof-of-concept plans.**
• Demonstrate and explain how NinjaCat’s AI agents complement our data transformation suite—including data ingestion, aggregation, and visualization tools.**
• Manage multiple sales projects simultaneously with precision, ensuring timely follow-ups, clear documentation, and coordination across teams.**
• Collaborate with Product and Technical Services to address complex technical questions, integrations, and API workflows.**
• Act as a trusted advisor, building long-term relationships with key decision-makers and technical stakeholders.**
• Stay current on industry trends, competitor offerings, and emerging AI innovations to sharpen your demo strategy and technical credibility.**

Full-stack Engineer

• Design, build, and maintain robust integrations with third-party advertising and marketing platforms (Google Ads, Facebook Ads, LinkedIn, TikTok, etc.)
• Develop and optimize ETL pipelines to handle large-scale data ingestion with high reliability and performance
• Build resilient systems that gracefully handle API rate limits, failures, and data inconsistencies
• Monitor and troubleshoot data pipeline issues, ensuring data quality and completeness
• Contribute to the architecture and design of our data ingestion infrastructure
• Write clean, maintainable, and well-tested code following best practices
• Participate in code reviews and provide constructive feedback to team members
• Collaborate with product and engineering teams to design solutions that meet customer needs and solve real problems
• Leverage AI-powered tools (Claude Code, Codex, Cursor, Droids etc.) to accelerate development workflows
• Utilize AI for code generation, debugging, documentation, and problem-solving
• Share knowledge and best practices with the team on effective AI tool usage
• Deploy and maintain services in Kubernetes environments
• Participate in on-call rotations and incident response
• Implement monitoring, logging, and alerting to ensure system reliability
• Continuously improve system performance, scalability, and maintainability

Sales Engineer

Senior Software Engineer – Data Team