Job Description
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Company Overview
The company develops an AI-powered platform that helps enterprise IT organizations accelerate business transformation. Its technology uses AI agents supported by continuously updated knowledge of enterprise systems, workflows, and processes to streamline discovery, documentation, and operational improvements. The platform is designed to help organizations understand how their systems function while maintaining quality, security, and control.
Responsibilities
Solutions Engineering and Pre-Sales
- Value Selling: Partner with Sales leadership on complex enterprise opportunities, address technical and AI security objections, and demonstrate how the platform solves customer-specific challenges.
- Tailored Demonstrations and Workshops: Build and deliver demonstrations based on real customer scenarios and conduct technical workshops that connect platform capabilities to measurable business outcomes.
- Solution Design: Lead technical discovery, assess enterprise systems and business priorities, identify relevant use cases, and define proof-of-concept scope and success criteria.
Customer Engineering and Deployment
- Technical Deployment: Integrate the platform with customer systems and lead security and AI governance reviews with IT and security teams, covering access controls, data handling, and agent operations. Troubleshoot issues in live environments.
- Custom Solutions: Design and build tailored workflows, artifacts, and implementation playbooks. Convert successful solutions into reusable templates for other customers and teams.
- Proof-of-Value Delivery: Manage 30-to-90-day proof-of-value projects against agreed success criteria to demonstrate business value before contract execution.
- Rollout and Enablement: Support platform deployment across teams and roles, deliver user training, develop enablement materials, and coach internal champions to encourage adoption.
- Account Management and Growth: Own post-sale customer relationships, conduct regular value reviews, and collaborate with Sales to support renewals and expansion into additional teams and use cases.
- Partner Delivery: Work with implementation partners and system integrators on joint projects and develop handoff playbooks that support scalable delivery.
Voice of the Customer
- Field Feedback: Gather customer priorities, operational challenges, and direct feedback through regular engagement with users and business leaders.
- Product Input: Combine customer feedback with platform usage data to develop prioritized, evidence-based product recommendations.
- Collaborate directly with Product and Engineering teams to influence the product roadmap and validate new capabilities with customers.
Qualifications
- 5+ years of experience in a client-facing Customer Engineering, Solutions Engineering, Enterprise Architecture, or business-aligned Forward Deployed Engineer or Specialist role.
- Strong understanding of enterprise systems, integrations, and data environments.
- Ability to establish technical credibility with enterprise architects and engineers while understanding how customers operate their business systems.
- Demonstrated experience navigating complex enterprise organizations and stakeholder structures.
- Strong executive communication and presentation skills, including the ability to engage confidently with C-suite stakeholders.
- Proven ability to manage demanding timelines and translate complex technical capabilities into clear commercial value.
- Strong customer-facing problem-solving and stakeholder management skills.
Preferred Qualifications
- Degree in Computer Science, Engineering, or a related discipline, or equivalent practical experience.
- Hands-on experience building with or deploying large language models and agentic AI systems.
- Familiarity with AI-powered coding tools such as Claude Code and the development of AI-driven workflows.
- Experience with enterprise platforms such as Salesforce or Oracle Fusion.
Disclaimer
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