Customer Solutions Engineer

Adlib SoftwareOakland, CA
4dRemote

About The Position

We are seeking a Customer Solutions Engineer who combines strong consulting and customer engagement skills with hands-on software engineering expertise. This role is primarily customer-facing after the sale, embedding with customers during onboarding, activation, and adoption to implement solutions, integrate systems, validate workflows, and ensure successful realization of business value. This role also involves meaningful interlocks with Product, Engineering, Sales, and Customer Success teams to influence solution delivery approaches and contribute feedback that shapes the future product roadmap. You will help drive activations, tailor solutions to customer needs, and contribute to long-term customer satisfaction and platform adoption.

Requirements

  • 3 to 7 years of professional software development experience
  • Strong working knowledge of C#, .NET, Angular, and SQL
  • Experience with REST APIs, enterprise system integration, and workflow automation
  • Practical understanding of LLMs, RAG architectures, and AI agentic concepts applied in real systems
  • Prior customer-facing consulting or implementation experience in a technology company
  • Experience in roles such as Implementation Engineer, Technical Consultant, Customer Success Engineer, or Solutions Engineer focused on post-sale delivery
  • Ability to uncover business challenges, articulate options, and translate them into implementation plans
  • Strong communication with technical and business audiences
  • Ability to manage delivery workstreams, dependencies, and stakeholder expectations
  • Bachelor’s degree in Computer Science, Software Engineering, or related field, or equivalent practical experience
  • Prior customer-facing consulting or implementation experience strongly preferred

Nice To Haves

  • Experience designing, building, or architecting n8n workflows or similar automation platforms (e.g., Workato, Camunda, Airflow)
  • Hands-on implementation of LLM-based workflows, RAG pipelines, or agent-assisted systems
  • Familiarity with enterprise content management systems and document-centric workflows

Responsibilities

  • Lead discussions with customer stakeholders to understand business goals, workflows, and success criteria
  • Conduct discovery and requirement refinement focused on implementation and value realization
  • Set up and configure APIs to securely connect Adlib Transform with enterprise systems and content stores
  • Execute development sprints to build or extend n8n workflows for automation, processing, and orchestration
  • Develop and test C# and Angular components to support customer-specific workflows and integrations
  • Design and implement LLM-powered RAG systems, including data preparation, retrieval logic, and validation
  • Work directly with customer teams to validate solutions, train users, and transition to operational use
  • Collaborate with Product and Engineering to validate assumptions and share field-driven insights
  • Document configurations, architectural decisions, and lessons learned for reuse and scale
  • Drive customer activations using Adlib Trust Kits, PrecisionPaths, and automation templates
  • Partner with customers to understand business processes and translate them into technical solutions
  • Configure, customize, and integrate solutions using APIs, automation tooling, and workflow patterns
  • Build, operate, and optimize n8n workflows and related automation logic
  • Implement and support LLM-enabled workflows, RAG pipelines, and agent-assisted systems
  • Facilitate workshops, deep-dives, walkthroughs, and knowledge transfer activities
  • Ensure production readiness, validation of outcomes, and operational stability
  • Produce and maintain high-quality customer documentation and handoff materials
  • Manage delivery tasks, dependencies, and timelines with clear ownership
  • Design, develop, and maintain C# and Angular software aligned with customer needs
  • Troubleshoot complex issues across front-end, backend services, automation, AI pipelines, and integrations
  • Contribute reusable components, patterns, and deployment modules to enhance scalability
  • Work with Support, Customer Experience, Product, and Engineering to resolve issues and improve outcomes
  • Capture customer needs and feedback to influence product improvements and prioritization
  • Support internal teams with technical context, deployment insights, and best practices
  • Facilitate knowledge transfer across teams to improve delivery models and surface patterns
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