Senior Engineering Manager (AI/SaaS)
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Описание вакансии
TL;DR
Senior Engineering Manager (AI/SaaS): Leading the Lifecycle Management team to build and optimize an AI-powered reve architecture platform with an accent on CPQ, billing, and subscription management. Focus on driving engineering execution, managing distributed teams, and integrating AI-assisted development tools to improve code quality and delivery speed.
Location: Hybrid (4 days per week in San Mateo, CA)
Company
is an AI-powered reve architecture platform that unifies CPQ, billing, and reve lifecycle management for companies like OpenAI and Glean.
What you will do
- Lead the Lifecycle Management (LCM) scrum team, managing 7-8 engineers across multiple time zones.
- Own sprint planning, execution, and delivery with a focus on predictable, high-quality releases.
- Act as the primary engineering point of contact for customer escalations and technical decisions.
- Drive technical quality and AI adoption using tools like Claude Code, Windsurf, and Copilot.
- Hire, onboard, and mentor engineers while fostering a culture of ownership and urgency.
Requirements
- 7+ years of software engineering experience with 3+ years of engineering management in SaaS.
- Strong expertise in Scrum leadership and managing distributed teams.
- Experience with the Salesforce platform (Apex, LWC, managed packages).
- Full-stack fluency in Java, JavaScript/TypeScript/React, and SQL (PostgreSQL).
- Must be based in or able to work hybridly from the San Francisco Bay Area (San Mateo, CA).
- Active use of AI-assisted development tools in daily workflows.
Nice to have
- Experience with quote-to-cash, CPQ, or subscription lifecycle management software.
- Experience managing Salesforce ISV/managed packages (2GP).
- Familiarity with event-driven architectures and API orchestration.
- Track record of scaling engineering teams from 10 to 15+ members.
Culture & Benefits
- Competitive compensation and comprehensive health, vision, dental, and life insurance.
- AI-forward engineering culture with mandated AI tool adoption.
- High-impact role owning the flagship product of a fast-scaling company.
- Collaborative environment in the heart of the Silicon Valley tech ecosystem.
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