
Lead Technical Enablement Specialist, Field Capability – Readiness
Posted 1 day ago

Posted 1 day ago
This is a fully remote position, open to applicants in Texas.
• Establish the vision and roadmap for the Field Engineering capability.
• Take ownership and enhance a portfolio of readiness experiences, encompassing skills verification, technical demonstrations, role-specific pathways, credentials, and practical applications.
• Innovate and prototype new methodologies for Field Engineers to develop and validate their expertise.
• Collaborate with practitioners, managers, product teams, and subject-matter expert communities to define credible capability standards.
• Modify capability models and programs to align with an AI-driven future.
• Partner with internal platform and engineering teams to develop scalable systems that make skills, evidence, readiness milestones, and recommendations visible.
• Create the operating model, governance, quality standards, content and assessment lifecycles, and feedback mechanisms for a federated technical organization.
• Promote program adoption through stakeholder planning, manager engagement, field feedback, and data-informed enhancements.
• Establish metrics for participation, proficiency, capability coverage, readiness, and emerging gaps.
• Link demonstrated capabilities to development, specialization, succession planning, and career advancement.
• Formulate a shared perspective, roadmap, high-value readiness experiences, cross-functional partnerships, leader visibility, and measurable progress in the initial year.
• Over 6 years of experience in technical enablement, product management, learning and development, consulting, field engineering, or program leadership within a high-growth technology firm.
• Proven track record of creating and scaling new initiatives from ambiguous situations.
• Strong strategic judgment coupled with executive presence.
• Product-focused mindset that prioritizes user needs, adoption, testing, and continuous improvement.
• Ability to maintain rigorous standards while offering practical, low-friction experiences.
• Proficient in data fluency, including defining metrics, interpreting dashboards, recognizing patterns, and utilizing data and field feedback to inform decisions.
• Experience in collaborating with internal product, engineering, or platform teams to develop scalable tools and workflows.
• A genuine curiosity about AI and its influence on technical work, customer engagement, and organizational capability.
• Technical fluency in data and AI, or the curiosity and learning agility to quickly acquire it.
• Exceptional communication skills across technical, enablement, regional, and executive stakeholders.
• Strong ownership mentality and capability to operate within a distributed, cross-functional environment.
• Practical experience using AI to enhance assessments, personalization, content, or operations is a plus.
• Desirable experience with skills taxonomies, competency frameworks, technical certifications, assessment models, or role-based capability systems.
• Desirable experience with community-driven expertise models, learning science, adult learning, assessment design, internal platforms, enterprise software enablement, or customer-facing technical roles.
• Eligibility for annual performance bonuses.
• Eligibility for equity.
• Comprehensive benefits and perks.
• Region-specific benefits information available.
• Commitment to equal employment opportunity and fostering an inclusive culture.
Addepar
NinjaOne
NinjaOne
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