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The Account Executive will manage the full sales cycle, presenting solutions, maintaining customer relationships, and ensuring a smooth onboarding experience for prospects.

Design, build, and operate integrations connecting Spring Boot microservices to internal tools and external SaaS. Implement REST APIs, webhooks, and event-driven patterns; run integration services on Kubernetes; enforce secure OAuth/JWT flows, secret management and least-privilege IAM. Enable internal teams via workflow tooling (e.g., n8n), ensure observability, and maintain reliability and compliance in a FinTech environment.

Provide German-speaking customer support via phone, chat, and email; resolve complex payment and operations cases; collaborate with Compliance, Product, Risk; improve processes and data accuracy; learn product and grow within Operations.

Provide German-language customer support across phone, chat, and email; learn the FinTech product; diagnose and resolve complex operational cases; collaborate with Compliance, Product, Risk; improve processes and data quality.

Analyze operational data to find inefficiencies, design future-state processes and operating models, and implement scalable, tech-enabled solutions. Collaborate cross-functionally with Operations, Product, Commercial, and Regulatory teams to introduce tooling, automation, and measurable improvements.

Own and improve Moss's top-of-funnel tooling stack (HubSpot, Salesforce, Attention). Diagnose and rebuild lead routing and attribution, implement AI-driven routing and dynamic nurture, administer marketing automation and lead handoff tools, partner with Growth/BDR/SDR and engineering, monitor system performance, resolve bugs, and act as subject-matter expert for tooling and vendor relationships.

As a Partnerships Associate, identify and assess potential partners, build a pipeline, and support relationship management to facilitate strategic partnerships.

The role involves enhancing developer productivity through AI tooling, improving engineering workflows, and maintaining Kubernetes within a platform engineering team.

Lead end-to-end LLM and ML initiatives to improve invoice understanding, matching, reconciliation, anomaly detection, and user assistance. Own model development, evaluation, monitoring, productionization with platform/data engineering, and stakeholder adoption.

Manage the full sales cycle from lead qualification to deal closing, collaborating with teams to drive customer success and growth.