WHAT YOU WILL BE DOING
Build and deploy AI agents that automate customer escalation workflows — reducing resolution times and improving engineering efficiency.
Integrate agentic capabilities into identity platforms, translating customer needs into engineering roadmap contributions.
Drive innovation at the intersection of AI, Identity Governance (IGA), and cybersecurity — helping enterprises govern Non-Human Identities and agentic workflows.
Serve as a technical liaison between Customer Support, Customer Success, Sales Engineering, and Product — bridging the gap between customer pain points and scalable solutions.
Engage directly on customer calls to represent Engineering and, where needed, prepare Engineering executives ahead of escalations.
Identify and champion tooling improvements — proposing new troubleshooting and performance analysis tools that raise the bar for the wider engineering org.
Track and report on escalation metrics, providing executive-level summaries and holding teams accountable to resolution timelines.
Help the CE team navigate competing priorities and align on strategies that move the needle for the business.
WHAT YOU BRING
10+ years of software engineering experience, with 8+ years in customer-facing or customer engineering roles.
Proven experience in large-scale, multi-tenant production environments.
Curiosity and fluency across modern AI tooling — MCP, A2A protocols, agentic frameworks — and a mindset for continuous learning in uncharted territory.
Hands-on experience with AI-assisted SDLC tools (Amazon Q, GitHub Copilot, Cursor, Claude, or similar).
Strong command of testing practices — unit, functional, and system integration — and agile methodologies (Scrum and Kanban).
Solid experience with Git, CI/CD pipelines, and automated deployments.
Deep understanding of APIs, enterprise integrations, and distributed systems.
Outstanding communication skills — equally comfortable in an engineering deep-dive and a customer executive briefing.
Experience in Identity & Access Management (IAM / IGA) strongly preferred; familiarity with Zero Trust, PAM, or governance frameworks is a meaningful plus.
Skills Required
- 10+ years of software engineering experience
- 8+ years in customer-facing or customer engineering roles
- Experience in large-scale, multi-tenant production environments
- Hands-on experience with AI-assisted SDLC tools
- Solid experience with Git and CI/CD pipelines
- Deep understanding of APIs and distributed systems
- Strong command of testing practices and agile methodologies
- Outstanding communication skills
- Experience in Identity & Access Management (IAM / IGA) strongly preferred
Saviynt Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Saviynt and has not been reviewed or approved by Saviynt.
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Leave & Time Off Breadth — Time off is described as flexible, with policies including flexible time off and mentions of unlimited PTO. This breadth can make time away easier to take alongside company holidays.
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Wellbeing & Lifestyle Benefits — In‑office amenities such as catered food, drinks, and snacks, plus social events like birthday celebrations and team outings, are highlighted. These lifestyle perks add day‑to‑day convenience and connection.
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Career-Linked Recognition & Rewards — Employee recognition is emphasized, with programs to celebrate those who go above and beyond. Regular recognition activities are cited alongside team bonding initiatives.
Saviynt Insights
What We Do
Saviynt’s Enterprise Identity Cloud helps modern enterprises scale cloud initiatives and solve the toughest security and compliance challenges in record time. The company brings together identity governance (IGA), granular application access, cloud security, and privileged access to secure the entire business ecosystem and provide a frictionless user experience.
