Senior Director, AI Engineering Transformation

About Us SharkNinja is a global product design and technology company, with a diversified portfolio of 5-star rated lifestyle solutions that positively impact people’s lives in homes around the world. Powered by two trusted, global brands, Shark and Ninja , the company has a proven track record of bringing disruptive innovation to market and developing one consumer product after another has allowed SharkNinja to enter multiple product categories, driving significant growth and market share gains. Headquartered in Needham, Massachusetts with more than 4,100 associates, the company’s products are sold at key retailers, online and offline, and through distributors around the world.

AI at SharkNinja At SharkNinja, we’re building an AI-native culture. We’re not waiting for the future; we’re creating it. Our people are expected to experiment boldly, adopt new tools, and continuously raise what’s possible to create meaningful impact for our consumers.

If you believe the best way to do your job hasn’t been invented yet, you’ll fit right in. Sr. Director, AI Engineering Transformation Location: Boston, MA preferred; New York, NY acceptable (On-site) Reports to: VP, Chief of Staff to the CEO Dotted Line: Chief Technology Officer / Chief Engineering Officer Direct Reports: AI Transformation Team (AI Fellows) The Role This is a high-impact leadership role at the intersection of AI, engineering, product quality, and organizational transformation.

You will own the strategy and execution of AI integration across SharkNinja's Engineering organization, spanning the full development lifecycle from concept and architecture through design, validation, and production, and extending into reliability engineering, DFM/DFT, test data, and manufacturing engineering. Today, much of this work relies on PowerPoint-based program management, fragmented data, manual analysis, and institutional knowledge trapped in people's heads. You will change that.

You will build the data foundation, deploy AI capabilities, and transform workflows so that SharkNinja's engineers develop products faster, smarter, and with higher quality at every stage. This role carries a dual mandate: drive the current portfolio of AI initiatives to measurable completion, and partner directly with Engineering leadership to shape what comes next. You are not here to deliver a fixed list of projects.

You are here to build the AI capability that transforms how the Engineering organization works -- today and in the future. You report directly to the VP, Chief of Staff to the CEO, with a dotted line to the CTO/Chief Engineering Officer.

What You Will Do

Data Foundation Infrastructure Architect and implement a unified data infrastructure across Engineering, resolving the fragmented, siloed data landscape that is the #1 bottleneck to AI adoption Map data assets across the organization (schematics, CAD/PCB design files, test results, FMEAs, DVT/EMC results, lessons learned, field return data, quality metrics) and build the ingestion pipelines that make this data usable by AI systems Partner with IT and data engineering to connect Engineering's data infrastructure to the enterprise data architecture (Snowflake, AWS) Engineering Transformation Define and execute the AI transformation roadmap across the full engineering lifecycle, while continuously identifying new AI opportunities with Engineering leadership as capabilities evolve Lead the reimagination of program management infrastructure, replacing manual, PowerPoint-based workflows with AI-powered tooling that enables real-time program status visibility, automated accountability, and permission-based dashboards Deploy AI-powered planning intelligence by ingesting historical engineering data to improve forecasting accuracy and reduce late-stage surprises Transform reliability and quality capabilities, failure prediction, DVT/EMC outcome analysis, field-return pattern detection at scale and partner with Engineering leadership to define what the nex