YOUR MISSION:
Join us in reimagining customer experience with Agentic AI — and lead others to do the same.
As Team Lead, Enterprise Customer Engagement DACH (f/m/d) at Parloa, you lead and grow a high-performing team of Enterprise Customer Engagement Managers. You are accountable for customer outcomes, team performance, and scalable impact across Parloa’s Enterprise segment.
You combine strategic customer leadership with people leadership: empowering your team to guide enterprise customers from implementation through adoption, optimization, and expansion — while continuously raising the bar on execution, collaboration, and customer value.
This is your opportunity to shape how Parloa scales customer engagement, develop future leaders, and help enterprise customers unlock long-term business value through intelligent AI agents.
IN THIS ROLE YOU WILL:
- Lead and develop a team of Enterprise Engagement Managers — create trust, coach for impact, and empower your team to perform at their best.
- Own and drive team KPIs across adoption, retention, expansion, and delivery excellence — ensuring outcomes are measurable and visible.
- Act as an escalation and unblocker — support your team in navigating complex stakeholder situations, critical customer moments, and enterprise-level challenges.
- Support enterprise customers at a strategic level — engage in key accounts when needed as executive sponsor, advisor, or escalation point.
- Unlock customer impact - create demonstrable customer value and ROI, navigating risks and unlocking expansion potential with the team.
- Enable scalable execution — help define, refine, and operationalize processes, playbooks, and automation to support further team scaling.
- Act as a transformation partner to customers — advise enterprise organizations through their AI-driven CX journey with Parloa, helping them define a long-term vision for their organization and presenting Parloa’s value narrative
- Partner cross-functionally with Sales, PS, Product, Engineering, and Leadership to ensure smooth implementations, strong feedback loops, and customer-first decision-making.
WHAT YOU BRING TO THE TABLE:
- 6-8+ years of experience in Customer Success, Consulting, or Account Management with enterprise customers, including 1–2 years of people leadership experience.
- Proven ability to lead, coach, and develop others, building trust-based relationships and a high-performance team culture.
- Strong track record of owning outcomes and KPIs, turning customer adoption and value realization into renewals, expansion, and sustained revenue growth.
- Experience handling complex customer escalations and navigating senior stakeholder environments with confidence and empathy.
- A strategic mindset paired with hands-on execution — you think big, act fast, and hold yourself and others to a high standard.
- Passion for AI, automation, and digital transformation, with the ability to translate technical capabilities into clear business value.
- Excellent communication and presentation skills in German and English, engaging with senior stakeholders and executives.
WHAT'S IN IT FOR YOU?
- Join a diverse team of 40+ nationalities with flat hierarchies and a collaborative company culture.
- Opportunity to build and scale your career at the intersection of customer-facing roles and engineering in a dynamic startup on its journey to become an international leader in SaaS platforms for Conversational AI.
- Deutschland ticket, Urban Sports Club, Job Rad, Nilo Health, weekly sponsored office lunches.
- Competitive compensation and equity package.
- Flexible working hours, 28 vacation days and workation opportunities.
- Access to a training and development budget for continuous professional growth.
- Regular team events, game nights, and other social activities.
- Work from a home and/or our beautiful office(s) in the heart of Berlin or Munich with adjustable desks, social areas, fresh fruits, cereals, and drinks.
Your recruiting process at Parloa:
Recruiter video call → Meet your manager → Case Study → Leadership Assessment → Bar Raiser
