
501 - 1000 employees
Founded 2012
🤖 Artificial Intelligence
🏢 Enterprise
☁️ SaaS
Artificial Intelligence • Enterprise • SaaS
DataRobot is a company that provides an AI platform and applications designed to integrate into core business processes. The company offers Enterprise AI Suite, AI Apps, and AI Platform services, which include Generative AI, Predictive AI, AI Governance, and AI Observability. DataRobot aims to help businesses develop, deliver, and govern AI solutions at scale, supporting industries such as energy, financial services, healthcare, manufacturing, and the public sector. With a focus on maximizing business impact and minimizing risk, DataRobot provides solutions that expedite deployment and secure numerous predictions each day.
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501 - 1000 employees
Founded 2012
🤖 Artificial Intelligence
🏢 Enterprise
☁️ SaaS
Artificial Intelligence • Enterprise • SaaS
DataRobot is a company that provides an AI platform and applications designed to integrate into core business processes. The company offers Enterprise AI Suite, AI Apps, and AI Platform services, which include Generative AI, Predictive AI, AI Governance, and AI Observability. DataRobot aims to help businesses develop, deliver, and govern AI solutions at scale, supporting industries such as energy, financial services, healthcare, manufacturing, and the public sector. With a focus on maximizing business impact and minimizing risk, DataRobot provides solutions that expedite deployment and secure numerous predictions each day.
• 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. • 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. • 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. • Build intuitive, enterprise‑grade UIs using React and modern design systems (e.g., shadcn/ui) to communicate agent behavior transparently. • Deliver engaging live demos that tell a clear story: problem → agentic solution → business impact. • 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. • Iterate rapidly based on customer feedback during pilots, workshops, or proofs of value (POVs).
• 6-8+ 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. • 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. • 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.
• Medical, Dental & Vision Insurance • Flexible Time Off Program • Paid Holidays • Paid Parental Leave • Global Employee Assistance Program (EAP)
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