AI Product Specialist – Nexus Black

Overview

In this role you translate AI concepts into real-world workflows for maintenance and operations customers. You act as the customer’s voice in development, shaping AI-enabled processes to match actual work and evaluating outputs against clear success criteria. You partner with sales to demonstrate the practical impact of AI, and you sustain relationships after pilots by expanding workflows as operations evolve. The role blends domain expertise, pre-sales insight, and trusted-advisor judgement to deliver measurable business value.

Pay / Benefits

• flexible and hybrid work opportunities
• inclusive workplace experiences
• community fostering
• global impact
• opportunity to contribute to sustainability
• diverse and respectful environment

Responsibilities

• Define and validate what ‘accurate’ looks like for customer workflows and oversee evaluation of outputs
• Serve as the customer’s voice in the build process across verticals or functions
• Collaborate with sales to articulate the real capabilities and impact of AI beyond hype
• Maintain post-pilot engagement, extending workflows as customers’ operations change
• Act as a trusted advisor, spotting opportunities without turning every conversation into a pitch
• Stand in for end-users to ensure AI workflows fit how jobs are actually done

Key requirements

• Deep domain expertise in one or more target domains (energy, utilities, field service, manufacturing, aerospace, defence, telecoms, or cross-functional areas like Finance, HR, IT, Asset Management)
• Demonstrable experience with AI and ability to shape workflows and judge model outputs
• Pre-sales instincts to explain complex capabilities to non-technical stakeholders and tie them to money, uptime, and risk
• Advisor’s judgement with the ability to leave customers with actionable insights about their operation
• Evidence-driven mindset with the ability to back claims with data and findings
• 4+ years of vertical or functional experience; capability to stand in for end-users across domains

• Clear communication with skeptical stakeholders
• Strong commercial acumen and ability to connect AI to business outcomes
• Judgement and balance between assertiveness and listening
• Fluency with AI products and ability to design/evaluate AI workflows
• Ability to judge model outputs and design evaluations
• Experience with defining evaluation criteria and how to test against them

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