Job Description:

The Pre-Sales Principle AI Solutions Engineer plays a pivotal role in helping enterprise customers see, feel, and believe in the value of agentic AI and ML platforms. Sitting at the intersection of business strategy, AI application design, and polished execution, your primary mission is to rapidly build enterprise-grade MVP agentic AI applications. You will partner with prospective customers and sales teams to map loosely defined problems into compelling, production-inspired prototypes. These MVPs serve as credible, extensible foundations that showcase technical depth and accelerate time-to-value, acting as the bridge between immediate problem-solving and long-term platform adoption.

Key Responsibilities

Business-to-Technical Translation & Problem Understanding

• Partner with Sales Teams: Understand customer missions, strategic priorities, and constraints through short discovery sessions.
• Map Capabilities: Translate business needs into platform capabilities, tailoring messaging for different personas (CIO, CTO, Chief Data Officer, program leads, technical practitioners).
• Identify Value: Pinpoint high-leverage automation and decision points where agentic AI can create immediate, visible value, translating ambiguous problems into clear user journeys and agent responsibilities.

Agentic AI Solution Design & Prototyping

• Rapid MVP Build: Design and implement end-to-end agentic AI MVPs, including multi-agent orchestration, tool use, memory, Model Context Protocol (MCP) servers, and agent observability.
• Deployment Readiness: Define key technical requirements, recommend deployment models meeting specific security mandates, and advise on data readiness to ensure quick time-to-value for new and expansion opportunities.
• Frontend & UX: Build intuitive, enterprise-grade UIs using React and modern design systems (e.g., shadcn/ui) to communicate agent behavior transparently.
• Architectural Soundness: Select and integrate appropriate LLMs, frameworks, and agent architecture to balance speed, cost, and explainability while establishing scalable platform foundations.

Demo Execution & Sales Collaboration

• Outcome-Oriented Demos: Deliver engaging live demos that tell a clear story: problem  agentic solution  business impact. Help shape and refine use cases based on account maturity and strategic alignment.
• Trusted Advisor: Act as a technical pillar across the sales team, supporting Account Executives, Strategic Account Directors, and BDRs with knowledge and assets that advance AI adoption.
• Iterative Refinement: Iterate rapidly based on customer feedback during pilots, workshops, or proofs of value (POVs).

Cross-Functional Feedback & Compliance Alignment

• Security & Governance: Support conversations around AI governance, data security, model transparency, and responsible AI practices in alignment with regulations.
• Internal Feedback Loop: Provide structured feedback on customer needs, procurement hurdles, and architectural gaps to Product, Marketing, and Enablement teams to keep offerings relevant.
• Reusable Assets: Contribute reusable patterns, templates, and internal best practices to accelerate future MVP delivery and platform selling.

Knowledge, Skills, and Abilities

Pre-Sales & Platform Selling Experience

• Demonstrated success supporting sales pursuits (new logos and account expansion) with deep technical expertise and solution design.
• Strong ability to translate agentic AI and ML platform capabilities into compelling value propositions.
• Prior experience turning rapid MVPs into production applications or long-term enterprise platforms.

Core Technical Skills

• Hands-on experience building agentic AI applications using modern LLM frameworks, orchestration patterns, and backend engineering (Python, TypeScript, APIs).
• Experience designing MCP servers, external system integrations, and utilizing AI evaluation/tracing tools.
• Proficiency with React and modern frontend tooling to create clean, trustworthy user interfaces.

Problem Solving & Communication

• Excellent communication and demo skills; proven ability to present complex AI concepts in a clear, grounded, and value-driven manner to both mission leaders and technical stakeholders.
• Exceptional ability to move from ambiguity to clarity quickly.
• Bias toward action and iteration; comfortable working in a fast-paced environment with evolving product offerings and shipping imperfect but compelling MVPs fast.

Education & Experience

• 12+ years of experience in sales engineering, applied AI, hands-on technical consulting, customer-facing software engineering, or technical product roles.
• Bachelor's degree in Computer Science, Software Engineering, or a related field (or equivalent practical experience). An advanced degree in AI/ML is a plus.
• Prior experience applying AI or complex software solutions within the Oil & Gas industry is a strong plus.
• Ability to travel up to 25% on average to customer meetings, workshops, industry conferences, and events.

Compensation Statement

The U.S. annual on-target earnings (OTE) range for this full-time position is between $205,000 and $225,000 USD/year. This range represents a combination of annual base pay and targeted commission. Actual offers may be higher or lower than this range based on various factors, including (but not limited to) the candidate's work location, job-related skills, experience, and education.

The talent and dedication of our employees are at the core of DataRobot's journey to be an iconic company. We strive to attract and retain the best talent by providing competitive pay and benefits with our employees' well-being at the core. Here's what your benefits package may include depending on your location and local legal requirements: Medical, Dental & Vision Insurance, Flexible Time Off Program, Paid Holidays, Paid Parental Leave, Global Employee Assistance Program (EAP) and more!