Vivun is a technology company that delivers AI solutions for sales teams. They are seeking an experienced Engineering Manager to lead a distributed engineering team, focusing on AI-led sales and ensuring high standards in team execution and outcomes.
Responsibilities:
- Grow and build a high-performing, diverse team through recruitment, hiring, onboarding, and training
- Coach engineers on their day-to-day work and career aspirations, conduct regular 1:1s, and evaluate performance, setting actionable goals to push themselves, the team, and the company
- Collaborate closely with Product to shape goals, milestones, requirements, and sequencing, bringing engineering teams into alignment
- Provide strong technical leadership and set direction for our architecture and stack to ensure the team and systems perform well at scale
- Be accountable for team plans, deliverables, and execution
- Lead AI-native development practices: support rapid iteration with strong guardrails, enabling teams to ship, measure, and improve AI experiences continuously
- Drive quality and reliability for AI experiences by promoting robust evaluation, testing, monitoring, and feedback loops across real-world usage
- Foster a culture of empathy for users and hold a high bar for excellence to ensure teams deliver products that solve the most important problems and delight our users
- Foster an inclusive environment with a high degree of trust and transparency among team members and leadership
- Help team members build strong, meaningful relationships through virtual and in-person culture initiatives
Requirements:
- 10+ years of experience in software engineering
- 5+ years of experience managing and leading engineering teams
- Strong track record of delivering large-scale, resilient, and observable distributed systems and services
- Strong collaboration and communication skills
- Strong hands-on skills; can drill deep into system design or implementation
- BS/MS/PhD in Computer Science or related majors, or equivalent experience
- Experience working in high-growth startup environments
- Experience managing remote software engineering teams
- Experience building AI-powered products (LLMs, voice, agentic workflows, retrieval, evaluation frameworks, or human-in-the-loop systems)
- Familiarity with responsible AI practices (safety, privacy, data governance, and model risk mitigation)