Technical Enablement Specialist
6 days ago
About the Role
We are seeking a Technical Enablement Specialist to build world-class learning
experiences around the Stack Components on Shakudo’s AI-powered data and ML
platform. As a part of the Stack team at Shakudo, you will be responsible for translating
complex data/ML infrastructure concepts, integrations and usability into clear, engaging,
and actionable enablement content for internal teams, customers, and prospects.
This role sits at the intersection of technical enablement, product understanding,
customer education, and sales engineering, and is critical to scaling the adoption of
Shakudo’s Stack Components (200+ components including data pipelines, vector
databases, ML platforms, orchestration tools, LLM infrastructure, and more).
You will work closely with engineering, product, solutions, and sales teams to craft
repeatable learning experiences that deepen technical understanding, accelerate
customer onboarding, and showcase powerful real-world use cases that help customers
realize value faster.
Key Responsibilities
Internal Technical Enablement (Engineering & Field Teams)
Develop clear, technically accurate content that helps internal engineers understand
Shakudo integrations, workflows, data flows, and ML/AI components.
Build internal enablement materials such as runbooks, deep-dive guides, platform
walkthroughs, and use-case demos.
Support engineering teams with documentation, training sessions, and structured
knowledge transfer on new integrations or platform updates.
Customer Enablement & Training
- Deliver live virtual (and occasional in-person) technical training sessions for customers.
- Create onboarding paths, step-by-step tutorials, troubleshooting guides, and best-
practice recommendations that help customers adopt Shakudo quickly and eHectively.
- Respond to customer technical questions during training, helping them understand
workflows, integrations, and platform behavior.
Product & Sales Enablement (Use Case Creation)
- Work closely with Sales and Solutions Engineering to design use-case-driven demos and
reference architectures that clearly showcase Shakudo’s value.
- Develop example workflows, quickstart templates, and sample pipelines using Shakudo’s
integrations to help accelerate the sales cycle.
- Identify common customer scenarios and convert them into reusable training assets or
feature explainer content.
Content Development & Knowledge Infrastructure
Create structured, engaging instructional content including:
- architecture diagrams
- conceptual explainers
- annotated workflows
- video explainers
- interactive guides
- integration-specific playbooks
- Maintain content quality, accuracy, and freshness as integrations evolve.
- Work cross-functionally with engineering and product teams to ensure enablement
content reflects the most current platform capabilities.
Cross-Functional Collaboration
Partner with Engineering, Product, Customer Success, and Solutions teams to align
training with product readiness.
Participate in beta tests, internal technical reviews, and release cycles to anticipate
training needs.
Relay customer learning insights back to product and engineering to influence roadmap
decisions.
Support Global Delivery Rhythm
Work with partial PST overlap for collaboration with the US team.
Deliver customer sessions scheduled for North American time zones when required.
Must-Have Qualifications
4–8 years of experience in technical enablement, customer education, technical training,
solutions engineering, developer advocacy, or a similar role.
Strong technical foundation in data engineering, ML/AI infrastructure, cloud platforms, or
developer tools.
Ability to learn new technologies quickly and explain them clearly to both technical and
non-technical audiences.
Experience creating technical educational content (guides, documentation, tutorials,
videos, labs, demos).
Comfortable delivering live technical training to customers and internal teams.
Strong communication skills with the ability to simplify complexity.
Experience collaborating with engineering teams on technical deep-dives.
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