Product Owner (Machine Learning)

Remote

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Cannabis Retail Technology, Software, SaaSIndustries

Requirements

Candidates should have over 5 years of experience in Machine Learning, data science, or product roles with a strong focus on ML. A solid background in applied ML with a proven track record of delivering business-impactful solutions is essential. The role requires the ability to translate business needs into technical requirements and vice versa, along with excellent stakeholder management, prioritization, and communication skills. Experience working with technical ML teams and guiding them toward product outcomes is necessary. Bonus points for experience in retail, personalization, marketing analytics, or regulated industries.

Responsibilities

The ML Product Owner will own and prioritize the ML roadmap, aligning it with company and product goals. This includes translating business needs into ML use cases such as recommendations, personalization, demand forecasting, and fraud detection. The role involves working with stakeholders to identify opportunities for ML to drive measurable outcomes, defining success metrics for ML features, and tracking their business impact. Collaboration with the ML Tech Lead and engineering team to deliver scalable, production-ready features is key, as is communicating ML strategy and progress to leadership and clients. Staying current with market and industry trends in ML for retail and bringing relevant innovations into the roadmap is also a responsibility.

Skills

Machine Learning

Product Ownership

Agile Methodologies

Roadmap Development

Stakeholder Management

Data Analysis

Cannabis Retail

POS Systems

eCommerce

Marketing Automation

Inventory Management

Cross-functional Team Leadership

Sweed

Retail cannabis point-of-sale and management solution

About Sweed

Sweed offers a complete solution for retail cannabis businesses by combining point-of-sale systems with e-commerce, delivery, analytics, marketing, and inventory management features. This integrated approach simplifies operations for cannabis retailers, allowing them to manage all aspects of their business from a single platform. Unlike competitors that may require multiple separate systems, Sweed provides an all-in-one service that enhances efficiency and customer interaction. The company operates on a subscription model, ensuring a steady revenue stream while helping retailers improve their sales processes and make informed decisions based on data insights.

Burbank, CaliforniaHeadquarters

2017Year Founded

$500KTotal Funding

ACQUISITIONCompany Stage

Data & Analytics, Enterprise Software, Consumer GoodsIndustries

11-50Employees

Benefits

Flexible Work Hours

Remote Work Options

Health Insurance

Paid Vacation

Paid Sick Leave

Risks

LeafLink's expanded offerings increase competition in cannabis retail technology.

Sweed may face challenges in maintaining market share against larger competitors.

Rapid technological changes could outpace Sweed's current platform capabilities.

Differentiation

Sweed offers an all-in-one platform for cannabis retail operations.

The platform integrates POS, e-commerce, delivery, and analytics for dispensaries.

Sweed's subscription model ensures recurring revenue from a diverse client base.

Upsides

AI-driven insights enhance personalized marketing and customer engagement for Sweed.

Blockchain technology secures inventory management and supply chain tracking for Sweed.

Augmented reality enhances online shopping experiences for Sweed's e-commerce clients.

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