Ultra Clean Technology

Ultra Clean Technology

Director of Ecommerce & Digital Product

New York City · Director

Sponsorship not specifiedDetected 38 days ago
Product StrategyShopify

About the role

  • We're a fast-moving, data-driven team obsessed with product quality, customer experience, and long-term brand equity.
  • We sell across DTC, Amazon, and TikTok Shop - and we're growing fast.
  • This is an early-stage role with a high ceiling.

Requirements

  • You're as comfortable in the weeds (fixing a PDP, QAing an integration) as you are at the strategic level.
  • We comply with all applicable employment laws, including the NYC Fair Chance Act, and provide reasonable accommodations as required by law.

Nice to have

  • Experience at a subscription CPG brand.
  • Identify opportunities to architect things more efficiently - simplifying where we're over-engineered, adding capability where we're under-built (e.g. SMS).
  • Use AI coding tools to rapidly prototype or deploy small features without waiting on a full dev cycle.
  • Stay ahead of platform changes (Shopify, Amazon, TikTok Shop) and proactively adapt our systems.
  • 5-8 years in ecommerce, digital product, or DTC operations - ideally at a consumer brand.
  • Hands-on experience with Shopify (Plus preferred) and at least one major marketplace (Amazon and/or TikTok Shop).
  • Track record of running CRO programs that moved the needle - not just setting up tests, but improving conversion.
  • Experience owning or contributing to a digital product roadmap and managing external dev resources.

Skills

  • Ensure brand consistency and product messaging are airtight across all commerce surfaces.

Benefits

  • include medical, dental, and vision coverage, HSA access, a 401(k), equity, and all the Ultra pouches you could ever want.
  • Benefits and Perks

Equal opportunity

  • equal opportunity workplace.
  • We value a diverse workforce and an inclusive culture.

This listing is sourced directly from Ultra Clean Technology's careers page and normalized into a canonical job model.