Jobs at 360Learning

Join a team of engineers to work on a complex codebase while utilizing MongoDB, Node.js, and Vue.js. Responsibilities include developing and improving functionalities, collaborating within squads, and onboarding new engineers.

As a Solution Deployment Manager, you will manage client onboarding, lead project management, facilitate platform integrations, and ensure successful deployment of the 360Learning platform while enhancing product adoption.

Manage implementation lifecycle, ensure successful deployment of the 360Learning platform, and facilitate integrations while supporting customer needs.

As an AI Engineer at 360Learning, you will develop and implement AI systems, collaborating with a diverse team to enhance product functionality and user experience. Your role includes delivering AI features and optimizing performance to meet user demands.

Manage the implementation lifecycle of the 360Learning platform, facilitating client onboarding, project management, and integrations. Drive product adoption and deliver professional services.

As a Client Success Partner, you will build relationships with HR executives, coordinate resources, and ensure client contract renewals and project launches while managing a portfolio of enterprise accounts.

As a Client Success Partner, you will enhance client relationships, lead project initiatives, reduce churn, and ensure contract renewals for enterprise accounts.

The Trainer empowers clients in mastering a Collaborative Learning platform, develops a scalable learning ecosystem, and leads training initiatives. Responsibilities include delivering webinars, enhancing client engagement, and mentoring new trainers.

As a Technical Consultant, you will scope technical projects, build solutions, manage implementations, and ensure client satisfaction by translating needs into technical deliverables, while collaborating with sales and development teams.

The Software Engineer will join a product squad to develop and maintain functionalities on the 360Learning platform, focusing on JavaScript technologies and clean architecture.

As Tech Talent Acquisition Manager, you'll drive tech hiring, partner with managers, implement sourcing strategies, and enhance candidate experiences.

The Presales Engineer will bridge sales, product, and customer success by ensuring engagement of top learning organizations while mastering the technology and providing comprehensive support to sales teams.

As a Presales Engineer, you will drive business in the German market, collaborating with sales teams while mastering the product and providing technical insights to customers and stakeholders.

The Business Development Representative will generate leads from priority accounts, develop outreach strategies, and engage potential customers to create a sales pipeline.

As a Business Development Representative, you will generate opportunities for Account Executives through lead qualification, engaging prospects, and pitching the product, while collaborating with marketing and sales teams.

The Account Executive will drive revenue in German-speaking markets, learn sales methodologies, close deals, and build relationships with HR leaders.

Own territory development and close enterprise (10,000+ employees) SaaS deals in DACH. Build pipeline, manage complex multi-stakeholder sales cycles, forecast accurately, collaborate with solution engineers, partners, and internal teams to exceed quotas and establish long-term market presence.

As a Website Software Engineer, you will develop and optimize website features, support marketing initiatives, and contribute to architectural decisions while working with a creative team.

Serve as squad technical lead: be the technical point of contact, coach and conduct performance reviews, spend ~80% coding, drive technical direction with product, improve processes, share best practices, and ensure delivery quality and team engagement.

Lead technical vision and architecture for LLM/GenAI features, coach and grow the AI engineering team, ship end-to-end production features, optimize cost/latency/reliability, integrate LLMs and search/RAG systems, and collaborate with product and design to scale AI capabilities.