AI Product & Platform Associate

AI Product & Platform Associate (Entry Level)

Scope: Vision AI Platforms (PaaS, Benchtop, Mobius) | Industrial & Life Sciences Verticals
Location: Flexible / Hybrid
Reporting Line: AI Product & Platform Owner

Role Overview

The AI Product & Platform Associate supports the day‑to‑day ownership of Linque’s AI product ecosystem, spanning cloud platforms, benchtop systems, and industrial deployments, with a particular focus on helping evolve the Mobius platform into a unified foundation for Agentic AI and Cognitive Vision capabilities.

This role works alongside customers, product, engineering, sales, and assurance teams, learning how Linque’s offerings are made:

• Market‑driven and customer‑validated
• Technically scalable across cloud, edge, and industrial environments
• CSA‑aligned, audit‑ready, and regulator‑credible
• Commercially differentiated across Life Sciences and Industrial verticals

In parallel, the role provides hands‑on support to Valspec’s CSV / CSA consulting services, helping keep product design, assurance strategy, and client delivery closely connected.

Core Responsibilities

AI Product, Platform & Mobius Support

• Support the product vision, roadmap, and backlog for: 
  • Linque AI PaaS offerings
  • Benchtop Vision AI products
  • Mobius platform, as the unifying layer for Agentic AI and Cognitive Vision
• Help document and track requirements for the architectural evolution of Mobius, including: 
  • Agentic workflows
  • Cognitive Vision pipelines
  • Secure, scalable deployment across cloud, edge, and industrial environments
• Help maintain consistency across verticals by keeping product requirements and documentation current.

Industrial Vertical Product Support

• Support product strategy and roadmap work for Industrial vertical offerings, including manufacturing, infrastructure, and adjacent regulated/industrial markets.
• Help capture industrial customer needs (operations, quality, safety, throughput) and turn them into clear, written product requirements.
• Research competitors, market trends, and customer use cases to inform vertical and platform decisions.

Customer, Product, Engineering & Sales Coordination

• Help coordinate information flow between: 
  • Customer needs and use cases
  • Product strategy and roadmap
  • Engineering execution and architecture
  • Sales positioning and commercial commitments
• Capture customer feedback, pilot learnings, and BD insights and route them into: 
  • Product requirements
  • Roadmap prioritization
  • Platform evolution decisions
• Track open questions and decisions, and follow up with the relevant owners to keep work moving.

Customer Exposure & Business Development Support

• Participate in, and prepare materials for: 
  • Business development discussions
  • Technical sales engagements
  • Partner and ecosystem conversations
• Support customer discovery, pilots, and early deployments by: 
  • Preparing demo environments, meeting notes, and follow‑up summaries
  • Documenting findings that inform future offerings and roadmap direction
  • Building deep familiarity with Linque’s platform and value proposition
• Assist Sales and Marketing with product collateral, FAQs, and positioning materials under the guidance of senior team members.

CSA / CSV & AI Credibility (Valspec‑Aligned)

• Work with Valspec Quality & Compliance teams to learn how Linque products are made CSA‑native by design.
• Assist with the preparation of: 
  • CSA and AI Credibility plans
  • Intended use definitions and risk classification
  • Traceable, audit‑ready assurance artifacts
• Help keep assurance documentation organized, current, and easy to trace.
• Learn how product development connects to Valspec’s CSV/CSA consulting offerings and the shared go‑to‑market story.

Lifecycle & Documentation Support

• Support product‑level lifecycle administration for AI platforms, including: 
  • Change management records and tickets
  • Release notes and governance documentation
  • Coordination between development and assurance activities
• Flag product, regulatory, and delivery risks early to senior team members, with clear notes on potential impact.

Qualifications & Experience

• 0–2 years of experience, including internships or co‑ops, in software, AI/ML, industrial systems, or regulated digital products.
• Bachelor’s degree in engineering, computer science, life sciences, or a related technical field.
• Familiarity with, or strong interest in, AI/ML concepts, cloud platforms, and computer vision.
• Awareness of CSV and modern CSA approaches, or a willingness to learn quality and regulatory practices for AI‑enabled systems.
• Clear written and verbal communication, and comfort taking notes and presenting to internal teams and customers.
• Highly organized, curious, and able to manage multiple tasks with guidance in a fast‑moving environment.