Product Platform Knowledge Expert/Strategist (Architects Preferred)

Position Overview

The OPUS Platform Knowledge Expert is a platform and subject-matter expert responsible for developing, structuring, and maintaining the messaging, positioning, and core knowledge artifacts that power TraceLink's OPUS Platform go-to-market execution, field enablement, and AI-driven experiences for both customer personas and TraceLink field teams.

The OPUS Platform Knowledge Expert serves as the global owner of the OPUS platform capability areas-such as Opus Reports and Dashboards, Opus Solution Environment, Solution Catalog, user administration, metadata management, etc.-and builds the messaging frameworks, insights, and artifacts that support executive-level conversations across all relevant customer segments.

This is a unique role combining platform expertise, industry context, strategic storytelling, and knowledge artifact creation, and curation for executive buyer experiences.

Responsibilities

OPUS Platform Domain Expertise

• Serve as TraceLink's subject-matter expert for the OPUS Platform, supporting Product Marketing, Demand Generation, Content, Sales Enablement, and Sales teams.

• Build a deep understanding of OPUS Platform architecture and capabilities, and how the platform enables TraceLink solutions and customer business outcomes.

• Translate complex platform concepts into clear business value for executive, technical, and operational personas.

• Participate in select cross-functional initiatives, roadmap discussions, and executive or customer engagements as required.

Strategic Narratives, Messaging, and Positioning

• Develop strategic narratives, messaging, and positioning for the OPUS Platform targeting executive and technical decision-makers (e.g., CIO, CDO, CTO, Enterprise Architects).

• Articulate the OPUS Platform value proposition as the foundation for TraceLink solutions, ecosystem participation, and digital network effects.

• Create and maintain competitive differentiation against alternative platforms, point solutions, and legacy integration approaches.

• Continuously validate and refine messaging through regular engagement with field teams, customers, and prospects.

AI and LLM Buying & Enablement Experiences

• Build and maintain an LLM-ready OPUS Platform messaging framework with modular, metadata-tagged positioning, capabilities, and value narratives.

• Ensure taxonomy alignment, version control, and canonical terminology so platform messaging is consistent, current, and consumable by AI systems.

• Curate and govern the OPUS Platform knowledge corpus to ensure accurate, secure, and authoritative AI-generated outputs.

• Design executive- and architect-ready LLM experiences using prompt patterns, scenarios, and platform value-story templates for internal enablement and external buyer interactions.

Deliverables and Key Knowledge Artifacts

Create and maintain a standard set of OPUS Platform knowledge artifacts that drive executive conversations, field enablement, and LLM-driven experiences, including but not limited to:

• OPUS Platform Messaging & Positioning Playbook documenting platform vision, value pillars, persona-based messaging, and competitive differentiation.

• LLM-Ready Platform Messaging Framework & Metadata Schema defining modular platform message objects, taxonomies, and canonical terminology for AI ingestion.

• Curated OPUS Platform Knowledge Library, including architecture overviews, capability descriptions, platform services, extensibility patterns, security and compliance models, and glossary of terms.

• Executive Platform Narrative Decks tailored for CIO, CTO, CDO, and VP-level personas, highlighting business value, scalability, interoperability, and long-term platform ROI.

• Competitive Platform Landscape & Differentiation Dossiers comparing OPUS to alternative platforms, middleware, and integration strategies with scenario-based differentiation and objection handling.

• LLM Prompt Patterns, Conversation Flows, and Experience Blueprints enabling consistent, high-credibility AI-driven conversations about the OPUS Platform.

• Field Enablement Knowledge Packs including platform talk tracks, architecture narratives, use-case mappings, objection handling, and LLM-powered microlearning assets.

Skills and Qualifications

• 10 + years of experience in product management, product marketing, platform strategy, solution consulting, or analyst roles with exposure to enterprise platforms, data networks, or SaaS ecosystems.

• Strong understanding of platform concepts such as APIs, data models, interoperability, extensibility, security, and scalability.

• Exceptional writing and presentation skills, particularly for senior executive and technical audiences.

• Ability to distill complex, technical platform capabilities into clear, structured business narratives.

• Experience producing strategic content such as platform briefs, architecture narratives, whitepapers, or competitive analyses.

• Familiarity with large language models (LLMs), conversational AI, or retrieval-augmented generation (RAG) systems.

• Experience in structuring, tagging, and governing content for AI/ML consumption is a plus.

• Proven ability to work cross-functionally with Product, Engineering, Marketing, Sales, Solution Consulting, Value Engineering, and Services teams.

• Bachelor's degree or equivalent professional experience required.

• Travel: Ability to travel up to 25% as required by business needs.