Manager, Software Engineer - AI Governance at Relyance AI

San Francisco, California, United States

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$150,000 – $230,000Compensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

AI, TechnologyIndustries

Requirements

5+ years of Python experience
Strong technical background with a deep understanding of software engineering principles
Meaningful experience working on an AI/ML product
Proven experience managing and leading engineering product releases
Excellent communication and interpersonal skills
Ability to inspire and motivate teams
Experience with Agile methodologies (e.g., Scrum, Kanban)
Startup/early-stage company experience

Responsibilities

Overseeing the design, development, and deployment of high-quality software solutions
Fostering a culture of innovation and technical excellence
Mentoring and coaching team members to enhance their skills and career development
Recruiting, hiring, and onboarding top engineering talent
Planning, prioritizing, and executing software development projects
Working closely with product management to define product roadmaps

Skills

Python

AI/ML

Software Engineering

Agile

Scrum

Kanban

Relyance AI

Data protection and privacy compliance platform

About Relyance AI

Relyance AI specializes in data protection and privacy compliance by using machine learning to create a real-time inventory and map of personal data flows within organizations. Their software-as-a-service (SaaS) platform allows clients to monitor data processing activities, ensuring compliance with privacy regulations. What makes Relyance AI different is its focus on automating data tracking, which reduces manual workflows and compliance risks. The company's goal is to help organizations maintain user trust and meet regulatory requirements effectively.

Mountain View, CaliforniaHeadquarters

2020Year Founded

$60.3MTotal Funding

SERIES_BCompany Stage

Enterprise Software, Cybersecurity, AI & Machine LearningIndustries

51-200Employees

Risks

Emerging competition from platforms like OneTrust and TrustArc.

Frequent updates needed due to evolving AI regulations increase costs.

Complex data privacy laws across jurisdictions challenge universal compliance.

Differentiation

Relyance AI uses machine learning for real-time data flow mapping.

The platform offers asset-level visibility and lineage for sensitive data.

Relyance AI integrates privacy compliance directly into code bases.

Upsides

Raised $32M in Series B funding, enhancing growth and innovation.

Named a 2023 Gartner Cool Vendor in Privacy, boosting credibility.

Growing demand for AI-driven compliance solutions supports market expansion.

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