Job Summary

Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans the companies defining the next era of technology - hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem. This type of work-work that changes the world-is what the tech industry was founded on. So, if youre ready to seize the endless opportunities and leave your mark, come join us.

Role Overview

We are looking for a agile and highly skilled Partner Readiness Architect to design the knowledge foundations that power Everpures global partner ecosystem. This role sits at the intersection of partner enablement, knowledge architecture, instructional design, and AI. Rather than simply creating learning content, you will architect how partner knowledge is captured, structured, connected, and delivered across multiple experiences-including instructor-led training, digital learning, just-in-time guidance, and conversational learning agents.

As part of the Global Partner Enablement team, you will work closely with product management, product marketing, subject matter experts, instructional designers and partner field teams to transform complex product and solution knowledge into scalable, reusable, AI-ready learning assets.

This position is ideal for someone who thrives on turning complexity into clarity, brings a systems-thinking mindset to learning design, and can balance technical depth with instructional simplicity. Success in this role means building knowledge once and enabling it to be consumed everywhere-by partners, instructors, search, recommendation engines, and conversational AI.

Responsibilities

Partner readiness architecture

- Design scalable partner readiness architectures that support Everpures global partner ecosystem.
- Define partner learning objectives, competency models, and knowledge structures aligned to partner roles and routes to market.
- Identify what partners need to know, understand, and be able to do to succeed.




- Translate product launches and solution updates into structured partner readiness frameworks.

AI-ready knowledge design

- Structure content to support both traditional learning experiences and AI-powered knowledge consumption.
- Design modular, reusable learning objects optimized for digital learning, instructor-led training, microlearning, guided selling, conversational AI and just-in-time support.

Enablement experience design

- Translate complex technical concepts into digestible, persona-based learning outcomes.
- Design persona-based learning journeys for Account Executives, Systems Engineers and Solution Architects.
- Tailor learning experiences for: Resellers, Distributors, MSPs and GSIs.
- Recommend the most effective learning modality based on business objectives rather than defaulting to e-learning.

Knowledge capture

- Lead structured discovery sessions with SMEs from product management, product marketing, and field teams.
- Capture product, competitive, technical, sales, and field knowledge.
- Transform expert knowledge into reusable enablement assets that can power multiple delivery channels.
- Reduce duplicate content through modular knowledge design.
- Collaborate with instructional design teams to hand off clear blueprints and structured outlines for content development.

Quality and governance

- Ensure consistency, taxonomy alignment, and brand compliance across all partner readiness assets.
- Validate technical accuracy, instructional quality, and business alignment.
- Support governance for learning architecture, reusable assets, competencies, and content lifecycle management.
- Validate that learning outcomes tie directly to partner competencies, business priorities and program requirements.

AI innovation





- Leverage AI throughout the learning lifecycle.
- Use AI to accelerate knowledge capture, content analysis, curriculum design, assessment generation, localization and content maintenance.
- Design learning assets that can be consumed by conversational learning agents and future agentic AI experiences.
- Continuously evaluate emerging AI technologies that improve partner readiness and learning effectiveness.

What You Bring

Education & Experience

- Bachelor s degree in Computer Science, Information Systems, Instructional Design, Educational Technology, Learning Sciences, Data Science, Business Administration, or a related technical or learning discipline.
- Demonstrable experience in learning architecture, technical partner enablement, systems engineering, technical marketing, knowledge management, or a related field.
- Proven experience supporting enterprise technology solutions such as storage, cloud, cybersecurity, AI, or data platforms.
- Proven track record of enabling global partner ecosystems across multiple routes to market..

Skills

- Exceptional ability to translate complex technical information into structured knowledge and learning experiences.
- Strong systems-thinking mindset with experience designing modular, reusable, AI-ready content architectures.
- Proven ability to facilitate knowledge discovery with senior technical SMEs.
- Strong understanding of competency-based enablement and persona-driven learning.
- Excellent communication and stakeholder management skills.
- Fluent English is required; proficiency in additional languages is a plus.
- Ability to collaborate across functions and geographies in a matrixed environment.
- Experience designing and validating assessments to measure learning effectiveness and impact.
- Hands-on experience using AI to accelerate partner readiness workflows.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Partner Readiness Architect (Bengaluru)
🏢 Pure Storage
📍 Bengaluru