Responsibilities- Lead one agile team of six to eight senior engineers in Austin, with delivery accountability for components and features agreed with the EMEA anchor team.
- Set the team's AI-native operating model, including agent use, review standards, delegation boundaries, and maintenance of shared context and evaluation assets.
- Stay hands-on by directing AI agents on real repository work and calibrating what good agent-assisted engineering looks like.
- Own quality outcomes by defining automated gates for tests, evaluations, security scanning, dependency policy, and release readiness.
- Coach engineers through the shift from writing code to directing, reviewing, and verifying agent-generated work.
- Run agile execution with strong judgement around AI-produced estimates, scoping, planning artifacts, and delivery commitments.
- Represent the Austin technical position in cross-site decisions and keep the team aligned with EMEA counterparts across time zones.
- Grow the team by interviewing for AI-native judgement, onboarding quickly, and maintaining a high hiring bar while scaling the hub.
Requirements- 8+ years of software engineering experience, including hands-on expertise in at least one relevant technology stack and a proven track record of leadership or technical mentoring within agile environments.
- Practical experience using AI coding agents in production software development, with the ability to articulate what was delegated, what required review, what failed, and how issues were identified and resolved.
- Proven ability to define and implement quality and security gates for code contributions, including automated testing, evaluations, static analysis, security scanning, and dependency management.
- A critical approach to reviewing agent-generated output, with accountability for correctness, security, maintainability, and overall software quality.
- Strong understanding of clean code principles, modern software architecture, distributed systems, and the security and networking considerations relevant to TeamViewer products.
- Working knowledge of agentic development environments, custom tools, MCP or comparable tool protocols, repository-level instructions, and sub-agent architectures.
- Deep understanding of common AI failure modes, including hallucinations, context degradation, prompt injection, non-determinism, and silent regressions, along with effective mitigation strategies.
- Excellent communication skills and the ability to collaborate effectively with both technical and non-technical stakeholders across EMEA while helping shape a shared AI-native engineering culture.
- Fluency in English is required; German language skills are considered a plus.
What we offer- Competitive compensation and bonuses
- Flexible PTO and paid holidays
- 401(k) with employer matching
- Comprehensive Health insurance package including 100% employer-paid medical coverage
- Up to 12 weeks of Parental Leave
- Basic Life Insurance, Short-Term & Long-Term Disability, 100% employer-paid
- Quarterly teambuilding events, leadership luncheons, and companywide "All Hands" meetings
- Open door policy and business casual dress code
- We celebrate diversity as one of our core values. Join c-a-r-e and lead change initiatives together with us!
Work location for this position is Austin, TX.
Department Research & Development Locations Austin Remote status Hybrid Employment type Full-time Type of Job Non Student
