Forward Deployed Engineer (AI Solutions) - DACH Market

4 hours ago

Berlin, GermanyEntry Level / Mid Level

Responsibilities

Lead customer discovery and design sessions to map processes, identify automation opportunities, and define solution architecture.
Design, build, and deploy low-code integrations using orchestration platforms, CRM automation tools, and API connectors.
Configure and optimize the AI Agent, including intents, prompts, actions, guardrails, evaluations, monitoring, and performance metrics.
Manage cross-functional deployments by defining timelines, aligning stakeholders, maintaining accountability, and delivering within scope.
Create reusable templates, playbooks, reference architectures, and other frameworks for scalable deployments.
Train peers, run workshops, document best practices, and enable system integrators and channel partners.
Collaborate with Engineering and Product to resolve technical blockers, improve the platform, and shape the AI Voice Agent roadmap.
Run targeted outbound campaigns, support pipeline generation, and collaborate with GTM leadership on forecasting and performance routines.
Own regional top-line targets for assigned products and act as an internal GTM product owner for product-specific growth strategies.
Track AI and customer-experience industry trends and feed customer and integration insights into product and GTM strategy.

0–6+ years of experience in technical consulting, solutions engineering, or integration-focused project management.
Client-facing experience is required.
Strong command of APIs, webhooks, JSON, REST, and GraphQL, with the ability to design and troubleshoot integrations.
Practical understanding of AI workflow configuration, prompt engineering, evaluation, and monitoring.
Hands-on experience with Zapier, Make, n8n, Workato, HubSpot, or Salesforce automation.
Ability to lead cross-functional projects with Engineering, Product, and Customer Success.
Strong communication and stakeholder-management skills across technical and business audiences.
Experience with telephony, voice, contact-center systems, SIP, or WebRTC is a plus.
Familiarity with Looker, BigQuery, or Snowflake is a plus.
Exposure to JavaScript or Python for light customization and debugging is a plus.

Competitive salary package and benefits.
Work-life balance is emphasized in a fast-learning, entrepreneurial, and collaborative environment.
Multicultural workplace with more than 45 nationalities.
Opportunities to work on AI innovation, customer experience, scalable delivery, and team enablement.

Google BigQueryGraphQLJavaScriptMakePythonSnowflake

501-1,000 employees