обновлено 5 дней назад
AI Transformation Owner, Product & Design
203 200 - 345 600$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
AI Transformation Owner, Product & Design (AI product transformation): Shaping an organization's AI strategy and building no-code and low-code agents that transform workflows, with an accent on strategic prioritization, process intelligence, and adoption. Focus on configuring MCP servers and agent skills, evaluating agent performance, and driving change through cross-functional Champion networks.
Location: Remote in Canada, the United Kingdom, or the United States
Salary: $203,200–$345,600 USD per year for United States residents
Company
provides an intelligent orchestration platform for DevSecOps that helps organizations improve developer productivity, operational efficiency, security, compliance, and digital transformation.
What you will do
- Own the function's AI strategy, align it with business priorities, define success metrics, and track measurable outcomes.
- Map end-to-end workflows, identify high-impact opportunities, manage AI request intake, and prioritize the backlog.
- Drive AI adoption and change management through rollout plans, feedback loops, office hours, onboarding, demos, and shared learning spaces.
- Recruit and coordinate a Champion network across sub-teams and connect Champions with Enterprise AI.
- Build and operate AI agents with no-code and low-code platforms such as Glean and Workato.
- Configure agent skills, MCP servers, and tools; monitor agent KPIs, run evaluations, and iterate or replace solutions as models and tools evolve.
Requirements
- Deep understanding of the function's operations, workflows, constraints, and cross-functional dependencies.
- Strong strategic prioritization, product management, communication, influence, and change management skills.
- Experience building peer networks or communities of practice and coordinating volunteer contributors.
- Ability to build working AI agents, configure skills, connect MCP servers, and troubleshoot AI tools without needing to write production code.
- Understanding of AI capabilities including summarization, classification, generation, automation, and agentic workflows.
- Ability to map structured and unstructured data flows and determine where humans should interact with automated workflows.
Nice to have
- Experience with no-code or low-code AI platforms, prompt engineering, and agent configuration.
- Experience partnering with technical AI or engineering teams to scale prototypes into production solutions.
Culture & Benefits
- Remote work with location-based eligibility requirements for the listed countries.
- Flexible paid time off and parental leave.
- Health, financial, and well-being benefits.
- Equity compensation and an employee stock purchase plan.
- Growth and development funding and Team Member Resource Groups.
- Collaboration with Enterprise AI and continuous knowledge exchange focused on practical AI adoption.
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