Drimva

SharkNinja

Sr. Director - AI Product Development & Product Excellence Transformation

$225K–$275K

Needham, MA, United States · Director · Full-time · Posted Jun 30, 2026

Experience
10+ years; no stated alternative.

About the job

Leads AI strategy and implementation across SharkNinja’s product development and product excellence organizations, transforming data infrastructure, workflows, product quality, and adoption across the product lifecycle.

What you'll do

  • Build unified data infrastructure and AI-ready ingestion pipelines across product development and product excellence, integrating with enterprise architecture.
  • Lead AI transformation of product planning, program management, consumer insights, and product integrity workflows.
  • Build and lead an embedded AI Fellows team, drive organizational adoption, and measure and report outcomes.

What they ask for

  • 10+ years of professional experience in AI/ML, product development leadership, program management, data architecture, quality/product excellence, or technology transformation roles.
  • Strong technical fluency in AI/ML and data infrastructure, including evaluating tools and platforms and understanding data pipelines.
  • Track record leading large-scale transformation or change management initiatives.
  • Deep understanding of hardware or consumer electronics product development lifecycles, including stage-gate processes, EV/PV builds, and cross-functional launch execution.

Nice to have

  • Experience at an AI-native company or in a product organization where AI was core to development.
  • Experience productionalizing AI prototypes; familiarity with quality engineering concepts such as FMEAs, DVF, reliability testing, voice-of-consumer analysis, or return rate analytics.

Pay

$225,000 — $275,000 USD annual base salary

Tools

Snowflake, AWS, AI/ML, FMEAs, DVF

AI focus

Build AI capabilities and infrastructure to improve product development planning, program management, consumer insights, forecasting, product integrity, and quality; lead AI adoption across teams.

Model-written summary · the original posting is authoritative

First seen Oct 29, 2026 · Last verified Nov 6, 2026 (UTC)