
201 - 500 employees
đ Manufacturing
Manufacturing
Method Products PBC is part of Lifestyle Brands, a group of environmentally-conscious brands under the SC Johnson umbrella, including Method, Mrs. Meyerâs Clean Day, Babyganics, and Ecover. Headquartered in San Francisco with operations in Chicago and Europe, Method focuses on manufacturing household and cleaning products that prioritize sustainability and positive impact on people and the planet. With a commitment to bold and transformative growth, Method Products PBC aims to create a better world through innovative and responsible business practices.
đĽ 12 hours ago
đ United States, Canada â Remote
â°ď¸ Colorado, New York â Remote
đľ $165k - $225k / year
â° Full Time
đĄ Mid-level
đ Senior
đť Ghost score 0%
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201 - 500 employees
đ Manufacturing
Manufacturing
Method Products PBC is part of Lifestyle Brands, a group of environmentally-conscious brands under the SC Johnson umbrella, including Method, Mrs. Meyerâs Clean Day, Babyganics, and Ecover. Headquartered in San Francisco with operations in Chicago and Europe, Method focuses on manufacturing household and cleaning products that prioritize sustainability and positive impact on people and the planet. With a commitment to bold and transformative growth, Method Products PBC aims to create a better world through innovative and responsible business practices.
⢠Work with multidisciplinary teams through complex projects to inform product direction ⢠Identify opportunities where data, ML, and AI can create business value ⢠Refine opportunities and use cases using business objectives and customer needs with measurable outcomes ⢠Evaluate current-state data and technology landscapes, including data capture, storage, governance, and consumption ⢠Maintain expertise across traditional ML, generative AI, and agentic systems ⢠Develop data, AI, and technology transformation strategies ⢠Create capability maps, dependency maps, and transformation roadmaps ⢠Define experiments, prototypes, and proof-of-concepts to reduce uncertainty ⢠Communicate technical concepts and architectural tradeoffs to executives and business stakeholders ⢠Translate business objectives, constraints, and outcomes to technical teams
⢠Experience in business strategy, digital transformation, product strategy, technology strategy, or a related discipline ⢠Experience in evaluating AI applications, identifying risks, and uncovering opportunities for enhancement ⢠Strong understanding of modern data systems supporting business processes and analytical or AI capabilities ⢠Working knowledge of machine learning concepts and the ML development lifecycle ⢠Ability to prototype and create working proof-of-concept demonstrations with working code and systems integration ⢠Ability to evaluate technical proposals and work directly with engineers, data scientists, architects, product teams, and business leaders ⢠Strong analytical and problem-solving skills ⢠Excellent written, verbal, and presentation skills ⢠Ability to operate in a fast-moving environment and comfort with ambiguity and uncertainty ⢠Technical fluency in relational databases, data warehouses, data lakes, data models and schemas, ETL/ELT, cloud data platforms, business intelligence and analytics platforms, ML workflows, generative AI, AI agents, data security, privacy, and governance ⢠Comfort creating functional prototypes in Python and JavaScript
⢠Continuing education opportunities ⢠Flexible PTO and work-from-home policies ⢠Pension ⢠Health and dental benefits ⢠Company lunches ⢠Company outings ⢠Snacks ⢠Health and wellness programs ⢠Other location specific perks
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