
Artificial Intelligence • Compliance • SaaS
Relyance AI is a global privacy compliance and data security platform that provides tools for companies to protect data, avoid fines, and safeguard their reputation. It offers visibility and control over enterprise data processing and ensures alignment with contracts, global privacy regulations, and compliance frameworks. The platform proactively alerts businesses to risks when operational realities do not meet their obligations, serving as a system of record to prove trust. It also monitors applications, third-party data stores, and AI models to manage data inventories and maps, helping businesses meet their regulatory, compliance, and customer obligations across multiple jurisdictions.
April 21
🇺🇸 United States – Remote
💵 $150k - $230k / year
⏰ Full Time
🟡 Mid-level
🟠 Senior
👮♀️ Software Engineering Manager

Artificial Intelligence • Compliance • SaaS
Relyance AI is a global privacy compliance and data security platform that provides tools for companies to protect data, avoid fines, and safeguard their reputation. It offers visibility and control over enterprise data processing and ensures alignment with contracts, global privacy regulations, and compliance frameworks. The platform proactively alerts businesses to risks when operational realities do not meet their obligations, serving as a system of record to prove trust. It also monitors applications, third-party data stores, and AI models to manage data inventories and maps, helping businesses meet their regulatory, compliance, and customer obligations across multiple jurisdictions.
• Lead delivery of next-generation AI Governance product. • Oversee design, development, and deployment of software solutions. • Foster a culture of innovation and excellence. • Mentor and coach team members. • Recruit, hire, and onboard engineering talent. • Plan and execute software development projects. • Work closely with product management on roadmaps.
• 5+ years of Python experience. • Strong technical background in software engineering principles. • Experience working on AI/ML products. • Proven experience managing engineering product releases. • Excellent communication and interpersonal skills. • Ability to inspire and motivate teams. • Experience with Agile methodologies.
• Equal-opportunity work culture. • Focus on exceeding customer and team expectations. • Emphasis on proactive problem solving and creative solutions. • Fair and equitable compensation practices.
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