Stord is The Consumer Experience Company, powering seamless checkout through delivery for today's leading brands. Stord is rapidly growing and is on track to double our revenue in the next 18 months. To meet and exceed this target, Stord is strategically scaling teams across the entire company, and seeking energetic experts to help us achieve our mission.
By combining comprehensive commerce-enablement technology with high-volume fulfillment services, Stord provides brands a platform to compete with retail giants. Stord manages over $10 billion of commerce annually through its fulfillment, warehousing, transportation, and operator-built software suite including OMS, Pre- and Post-Purchase, and WMS platforms. Stord is leveling the playing field for all brands to deliver the best consumer experience at scale.
With Stord, brands can increase cart conversion, improve unit economics, and drive sustained customer loyalty. Stord’s end-to-end commerce solutions combine best-in-class omnichannel fulfillment and shipping with leading technology to ensure fast shipping, reliable delivery promises, easy access to more channels, and improved margins on every order.
Hundreds of leading DTC and B2B companies like AG1, True Classic, Native, Seed Health, quip, goodr, Sundays for Dogs, and more trust Stord to deliver industry-leading consumer experiences on every order. Stord is headquartered in Atlanta with facilities across the United States, Canada, and Europe. Stord is backed by top-tier investors including Kleiner Perkins, Franklin Templeton, Founders Fund, Strike Capital, Baillie Gifford, and Salesforce Ventures.
We're seeking a Principal Product Manager to lead our AI and Data initiatives as we transform logistics through intelligent automation and real-time analytics. You'll own the product strategy for both our internal AI/ML platform and customer-facing data products, working at the intersection of cutting-edge AI technology and practical business outcomes.AI Platform & Strategy:
Define and execute the roadmap for our AI/ML infrastructure and development framework
Drive adoption of AI capabilities across multiple product teams and business units
Partner with engineering teams to build scalable ML pipelines, feature stores, and model deployment systems
Lead the development of AI-powered features including demand planning, intelligent routing, and predictive analytics
Data Products & Analytics:
Own the product strategy for embedded customer analytics and business intelligence platforms
Transform complex logistics data into actionable insights for both internal stakeholders and external customers
Drive the evolution of our enterprise data warehouse and real-time analytics capabilities
Build self-service analytics tools that enable data-driven decision making across the organization
Cross-Functional Leadership:
Collaborate with engineering, data science, and operations teams to deliver high-impact AI and data solutions
Translate business requirements into technical specifications for complex data and ML systems
Communicate the value and impact of AI/data initiatives to executive leadership and stakeholders
Support other product teams as they integrate AI capabilities into their features
Product Management Excellence:
6+ years of product management experience with 3+ years focused on AI/ML or data products
Proven track record building and scaling technical products in fast-growing companies
Experience working with data science and engineering teams on machine learning initiatives
Strong analytical skills with ability to define metrics and measure product success
Technical Depth:
Solid understanding of machine learning concepts, data pipelines, and AI system architecture
Experience with modern data stack technologies (data warehouses, streaming platforms, BI tools)
Familiarity with MLOps practices, model deployment, and production ML systems
Comfort working with technical teams on complex infrastructure and platform decisions
Business Acumen:
Experience building both internal tooling and customer-facing data products
Understanding of B2B SaaS metrics and customer success factors
Ability to balance technical innovation with practical business outcomes
Strong communication skills for translating technical concepts to business stakeholders
Leadership & Collaboration:
Experience leading cross-functional initiatives involving multiple engineering teams
Track record of building consensus and driving adoption of new technical capabilities
Comfort working in ambiguous environments and defining strategy from first principles
Growth mindset with passion for AI/ML technology and its business applications
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