Jobs at Lio

Design and improve feedback, performance, career development, and learning programs across Munich and New York. Support managers with development conversations, identify learning needs, organize culture events, and drive employee engagement and team effectiveness. Build scalable people-development processes and serve as a trusted resource for employees and managers on development and culture topics.

Talent Acquisition Intern supporting sourcing, candidate pipeline development, personalized outreach, screening, interviews, candidate communication, recruiting metrics, and process improvement. The role partners with hiring managers across Engineering, Product, and Go-to-Market to recruit talent for an AI and B2B SaaS startup.

Support the COO by driving operational projects end-to-end, scaling internal processes, and aligning cross-functional teams (Product, Engineering, GTM, Customer Success) to turn strategic priorities into measurable outcomes.

Manage IT automation and systems by optimizing workflows, integrating systems, improving access management, and supporting IT security initiatives.

Support recruiting and People Operations at a fast-growing AI company. Responsibilities include sourcing candidates with LinkedIn Recruiter, conducting initial interviews, implementing HiBob, improving recruiting and onboarding processes, maintaining employee data, automating workflows, and owning people-related projects. The role offers hands-on exposure to talent acquisition, people strategy, and building scalable HR infrastructure.

As a Founders Associate Intern, you'll support the CEO with strategic projects, contribute to go-to-market initiatives, and optimize internal processes while collaborating with various teams to ensure project success.

Lead technical strategy for enterprise opportunities, run discovery workshops, build prototypes and POCs, design scalable integrations, and collaborate with Sales, Product, and Engineering to turn complex enterprise AI procurement opportunities into closed deals.

Support the COO on product communication and change management. Create engaging product content, run adoption workshops, align cross-functional teams, optimize internal processes, and own projects end-to-end to drive product adoption and company-wide execution.

As a Sales Engineer, you will create prototypes, customize AI-driven platforms, conduct demos, and work closely with customers and internal teams to ensure technical success in sales deals.

As a Core Engineer, you'll design, implement, and scale cloud SaaS systems while turning customer requirements into production-ready solutions. You'll improve code quality and own projects from architecture to deployment, interacting with customers when necessary.

The role involves designing and executing sales strategies, educating prospects about AI-driven operations, and managing relationships with key stakeholders in enterprise settings.

As an AI Implementation Manager, you'll lead enterprise AI implementations, translating customer requirements into scalable solutions while managing projects and coordinating teams for successful rollouts.

The Forward Deployed Engineer builds enterprise integrations, resolves integration issues, owns product features, and improves implementation workflows.

The Sales Development Representative role involves generating leads, engaging prospects, collaborating with marketing and sales teams, and providing customer feedback to shape product improvements.

The Account Executive will architect AI-driven procurement solutions for enterprises, manage deal strategies, and foster stakeholder relationships in a high-growth environment.

As a Sales Engineer, you'll build prototypes and custom solutions, configure software for customer needs, lead technical workshops, and collaborate with teams to ensure deal success.

The Sales Development Representative generates and qualifies leads, educates prospects about AI technology, and collaborates with marketing and executives to enhance outreach strategies.

The role involves building enterprise integrations, debugging integration issues, owning customer-driven features, developing MVPs, and improving workflows.

Design, operate, and scale highly reliable cloud infrastructure for production AI workloads. Implement multi-region deployments, optimize databases and backend performance for agentic AI (vector search, Hybrid RAG, MCP), build observability/SLOs/incident response, automate deployments and developer workflows, and collaborate with product teams and the CTO to ensure global reliability and efficiency.

Build and maintain supplier integrations (web crawlers, PunchOut/OCI/cXML, webshop APIs). Reverse-engineer sites/APIs, develop async Python services, extract and normalize product/pricing/availability data, debug production issues, and improve reliability and performance.