Required
- 10+ years of professional experience in AI/ML, engineering leadership, program management, data architecture, quality engineering, or technology transformation roles
- Strong technical fluency in AI/ML and data infrastructure: you can evaluate tools, assess platforms, understand data pipelines, and hold your own in technical discussions with engineers, data scientists, and product teams
- Proven track record leading large-scale transformation or change management initiatives, ideally in engineering, R&D, or consumer products environments
- Deep understanding of engineering development lifecycles in a hardware or consumer electronics context, including stage-gate processes, DVT/EVT/PVT builds, and cross-functional launch execution
- Proven ability to both build (hands-on implementation) and think strategically -- not just one or the other
- Strong business acumen: you connect technical capabilities to business outcomes and communicate that connection to non-technical stakeholders
- Exceptional leadership skills: you attract talent, build high-performing teams, and influence without authority across a matrixed organization
- Decisive and action-oriented: you make decisions with imperfect information, move fast, and course-correct without hesitation
- Comfortable operating in ambiguity and a high-velocity environment where priorities shift and speed matters more than perfection
Strongly Preferred
- Experience at an AI-native company or within an engineering organization where AI was core to the development process
- Background bridging technical build teams and business stakeholders, with the ability to translate requirements in both directions
- Experience productionalizing AI prototypes (moving from proof-of-concept to enterprise-grade tools with proper back-end infrastructure
- Familiarity with engineering quality concepts: FMEAs, DVT, EMC/regulatory compliance, reliability testing, field-return analytics
- Ability to speak Mandarin
Additional Requirements
- Travel required (domestic and international, including China manufacturing sites)
- On-site at Boston HQ or New York office full-time
Why This Role Matters SharkNinja's CEO has made AI transformation a top company priority. This role sits at the center of a company-wide movement to fundamentally change how SharkNinja's Engineering organization designs, builds, tests, and ensures the quality of its products. You will have direct visibility and support from the highest levels of the organization.
SharkNinja's Engineering organization is entering a pivotal chapter: new category expansion, a connected device ecosystem, and a global portfolio that demands faster, smarter execution with higher quality at every stage. You will be in the trenches with engineering teams, building the data foundation, proving what works, scaling it, and making AI an irreversible part of how this company engineers and delivers best-in-class products
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.