Jobs at Langdock

Twelve-month, fully onsite AI Associate program in Berlin focused primarily on resolving customer support tickets involving LLM behavior, APIs, integrations, enterprise compliance, billing, and access control. The role investigates technical issues, explains AI concepts clearly, escalates bugs, supports customer adoption, and takes on cross-team projects such as workshops, documentation, sales calls, and internal AI tooling. Strong performers may transition to a permanent business-team role.

Own enterprise contract negotiations, including SaaS agreements, DPAs, security and AI terms. Advise on AI, data protection, DORA, NIS2, Data Act, employment and corporate law. Support cloud-services contracting, data protection, ISO 27001 and SOC 2 compliance. Build AI-powered legal workflows, agents, playbooks and evaluations while partnering directly with customers and internal product teams.

Serve as the Co-CEO’s right hand by managing cross-company projects, preparing decisions, following through on strategic workstreams, shaping thought leadership, coordinating executive engagement, and supporting policy and European AI ecosystem initiatives. The role requires strong judgment, writing, communication, discretion, project management, and the ability to operate across complex, fast-moving contexts.

Provide front-line technical support for an enterprise AI platform by resolving customer tickets, troubleshooting API integrations and access issues, reproducing bugs, and communicating solutions. Escalate recurring issues to engineering and product, document edge cases, improve support workflows, and test AI-driven support tooling. This is a full-time, six-month internship conducted entirely on-site in Berlin.

Build and own AI-powered GTM systems that generate qualified pipeline, connect CRM and product signals, automate sales workflows, support partnerships and expansion, and improve seller productivity. The role involves integrating APIs and data sources, testing AI outputs, running commercial experiments, measuring impact, and documenting reliable workflows. It is an in-office builder role in Berlin focused on turning ambiguous commercial problems into practical automation solutions.

Drive full-cycle sales from lead qualification to closing, focusing on enterprise clients. Advocate for customer success and collaborate on revenue development strategies.

The Partnership Manager will build and manage relationships with key partners to drive revenue growth, ensuring partners can effectively sell and implement Langdock solutions, while collaborating cross-functionally.

Own full enterprise sales cycles for Langdock's AI platform: qualify leads, run technical discovery, scope solutions, present to executives, and close deals while advising on APIs, integrations, and architecture and coordinating with customer success.

Own full sales lifecycle for enterprise AI platform deals, run technical discovery and solution scoping, lead API/integration and architecture conversations with IT and C-suite, build strategic relationships, influence product roadmap with market feedback, and collaborate across GTM functions to drive revenue and customer success.

Own full sales cycle for enterprise customers, lead technical discovery on APIs and integrations, build credibility with IT and C-level stakeholders, drive strategic revenue development, advocate for customer success, and provide market feedback to product and leadership.

As a Product Engineer, you'll design, build, and ship features end-to-end while staying close to users to ensure product effectiveness. You will work across different product areas and utilize a variety of technologies including TypeScript, React, and Node.js.

Own full sales cycle for enterprise customers, lead technical discovery and solution scoping, present to executives, manage complex multi-stakeholder deals, and drive strategic revenue and customer success while advising on AI integrations and platform architecture.

Own full sales cycle for enterprise AI platform, run technical discovery and solution scoping, present to executives, build technical credibility with IT and engineering stakeholders, develop go-to-market strategies, and drive revenue while coordinating with customer success and product teams.

As an Enterprise AI Adoption Manager, you will guide companies in adopting AI, manage enterprise accounts, drive AI transformation, and work closely with engineering and product teams to deliver value.

The Brand Design role focuses on creating a cohesive brand experience across various mediums, maintaining design systems, and enhancing both physical and digital brand touchpoints.

The Design Engineer role involves creating UI solutions end-to-end in code, likely using React and Next.js, while ensuring high design standards and collaborating closely with product and engineering teams.

Build and operate core platform services (model gateway, durable agent runtime, execution sandbox, integrations) as productized internal APIs. Design service boundaries, plan migrations, implement, deploy, observe, and own long-term reliability and incident response for backend systems running on Kubernetes and multi-cloud infrastructure.

Design and build robust production systems across distributed execution, storage, secure compute, inference, and scheduling. Solve correctness, performance, reliability, and cost tradeoffs; operate what you build; measure workloads, identify bottlenecks, and deliver measurable improvements in multi-cloud Kubernetes environments.

Deploy, operate, and scale the Langdock enterprise AI platform across customer cloud environments. Own end-to-end deployments using infrastructure-as-code, run deployment operations and on-call support, build CI/CD and monitoring (e.g., Datadog), translate customer compliance and networking requirements into infrastructure, and drive platform standardization and automation. Serve as primary technical contact for customers, including C-level stakeholders.

Responsible for go-to-market strategies for product releases, developing positioning, creating content, and understanding customer needs. The role bridges product and market to enhance product visibility and sales support.