Senior Manager, AI & Organizational Transformation

Supporting AI & Org Transformation | Product Development

About the Role

SharkNinja is integrating AI across Product Development and Engineering as a structural shift in how teams work, design, and deliver. This is not a pilot program. It is a fundamental change to how work gets done, and it requires a people strategy built specifically for AI-era organizations.

As a newly created role, the Senior Manager, AI & Organizational Transformation will lead that transformation. The Senior Manager, AI & Organizational Transformation is the embedded workforce strategy leader for Product Development & Engineering, focused on translating AI capability into practical implications for roles, workflows, job architecture, and operating models. The work spans AI workforce planning, org design, work redesign, and change enablement.

This is not a Human Resources Business Partner (HRBP) role. The focus is on how AI changes work, teams, and structure, not day-to-day business partner support. The right Senior Manager, AI & Organizational Transformation brings structure to ambiguity, earns credibility with technical leaders, and delivers recommendations that drive decisions.

What You'll Own

AI Workforce Strategy & Transformation Planning

• Define the people strategy for AI adoption across Product Development & Engineering, covering workforce implications, role evolution, capability gaps, and adoption sequencing
• Build and maintain an AI transformation roadmap from a workforce perspective, aligned to SharkNinja's enterprise AI initiative and commercial priorities
• Monitor GenAI and agentic AI trends and translate them into actionable workforce strategy: which roles are affected, in what timeframe, and what SharkNinja should do about it
• Develop KPIs and measurement frameworks to track AI adoption, workforce readiness, productivity impact, and organizational effectiveness. Present findings to Product Development (PD) and Human Resources (HR) leadership

Org Design & Job Architecture

• Lead org design analysis and role redesign efforts tied to AI adoption across Product Development & Engineering, in partnership with functional leaders
• Apply task-level decomposition to determine which work should remain human-led, be AI-augmented, be automated, or require human-AI handoffs, and design job architectures accordingly
• Define emerging role types needed for AI-enabled work: AI workflow leads, human-AI teaming roles, AI adoption champions, and governance-oriented positions that don't yet exist in SharkNinja's job architecture
• Ensure job architecture, competency frameworks, and career paths reflect AI-era skills and connect to downstream processes

Workflow & Work Redesign

• Identify high-priority Product Development & Engineering workflows affected by AI tools and lead redesign efforts in partnership with functional process owners
• Map current-state workflows, surface automation opportunities and human-AI handoff points, and design future-state processes that are implementable
• Build a repeatable workflow redesign methodology that HRBPs and functional leaders can use to scale this work across teams and product categories
• Apply structured process improvement approaches and establish feedback loops to measure impact over time

Change Enablement & Adoption

• Lead change planning for AI workforce initiatives across PD&E, including stakeholder engagement, communications strategy, and adoption sequencing
• Develop change strategies that account for workforce anxiety, role evolution, and the cultural dynamics of an engineering and design-heavy population
• Serve as a trusted advisor to senior PD&E leaders on the human side of AI adoption: what it means for their teams, their org structures, and their talent
• Equip leaders with messaging, decision frameworks, and adoption support materials

People & Culture (P&C) Partnership & Stakeholder Leadership

• Focus on AI workforce transformation, not a generalist HRBP. Work closely with the Senior HRBP to align AI workforce work with the broader people agenda
• Partner with Talent Acquisition, Talent Management, and Total Rewards to connect AI-driven job design outputs to hiring, performance, and compensation frameworks
• Collaborate with SharkNinja's enterprise AI initiative leads to ensure PD&E workforce strategy is integrated, not siloed

What You Bring

Required

• Bachelor's degree in Business, Organizational Development, Information Systems, Data Analytics, Computer Science, Engineering, or a related field
• 5+ years of progressive experience in people strategy, org design, workforce transformation, or business transformation • Experience with AI and automation platforms such as Microsoft Copilot, Copilot Studio, Power Automate, or ChatGPT Enterprise, sufficient to engage credibly in automation design conversations
• Prior consulting or internal transformation experience in AI workforce transformation, org design, or digital transformation
• At least 3 years working directly in or alongside Product Development, Engineering, R&D, Data, AI, or another technical function
• Demonstrated experience leading or contributing to org design, job architecture, or role redesign efforts in the context of a major AI, digital, or operational transformation
• Expert working knowledge of AI, GenAI, and agentic AI concepts, sufficient to engage credibly with engineering leaders and translate AI capability into workforce strategy without relying on technical translation from others
• Experience in workflow mapping, task analysis, or business process improvement, including identifying automation opportunities and designing human-AI handoff points
• Strong analytical, executive communication, and stakeholder management skills. Able to prepare and present to VP and C-suite audiences with minimal direction
• Ability to operate in a fast-moving, matrixed environment where priorities shift and ambiguity is the norm

Preferred

• Master's degree in Information Systems, Human-Computer Interaction, or Business Administration
• Experience in a consumer products, hardware, or technology company with high SKU complexity and compressed innovation cycles
• Familiarity with org design methodologies such as Galbraith Star Model or Kates Kesler, and digital org design tools such as OrgVue
• Familiarity with task decomposition or work design methodologies, including tools such as Gloat, Reejig, or Mercer Work Design

What It Takes to Succeed

This role sits at the intersection of people strategy, AI transformation, org design, and work redesign. It will not be filled by someone who needs a playbook, because one does not exist yet.

The right person brings structure to ambiguity, earns credibility quickly with engineering leaders who are skeptical of HR, and delivers work that drives decisions rather than describes them. They understand AI well enough to have a real point of view on how it changes work, not just a surface-level familiarity.

SharkNinja moves fast. Product Development & Engineering teams ship products across 30+ categories on compressed cycles, organizational structures evolve with the business, and People & Culture (P&C) is expected to be ahead of problems, not responding to them. If that pace energizes you, this is the right environment.

Salary and Other Compensation: The annual salary range for this position is displayed below. Factors which may affect starting pay within this range may include geography/market, skills, education, experience and other qualifications of the successful candidate.

The Company offers the following benefits for this position, subject to applicable eligibility requirements: medical insurance, dental insurance, vision insurance, flexible spending accounts, health savings accounts (HSA) with company contribution, 401(k) retirement plan with matching, employee stock purchase program, life insurance, AD&D, short-term disability insurance, long-term disability insurance, generous paid time off, company holidays, parental leave, identity theft protection, pet insurance, pre-paid legal insurance, back-up child and eldercare days, product discounts, referral bonus program, and more.

Pay Range

$160,000-$190,000 USD