Product Manager, Internal AI Enablement

Stord is seeking a Product Manager for Internal AI Enablement to optimize back-office operations and drive operational excellence. This role focuses on transforming internal processes across finance, people operations, warehouse management, transportation, and business operations by deploying AI solutions. The mission is to eliminate manual work, improve decision-making, and achieve measurable cost savings, operating at the intersection of AI technology and operational efficiency within a fast-growing company.

Must Have

• Partner with leaders to identify high-impact AI opportunities
• Quantify business cases for AI initiatives
• Build and maintain a prioritized roadmap for internal AI
• Define requirements for internal AI tools and automation
• Work with data scientists and ML engineers to deploy AI models
• Collaborate with internal stakeholders for successful adoption
• Build frameworks and tools for non-technical teams to leverage AI
• Create self-service AI capabilities
• Develop training and documentation to drive AI tool adoption
• 4-6 years of product management experience
• Experience building internal tools or enterprise software
• Solid understanding of AI/ML capabilities and limitations
• Experience working with data science and ML engineering teams
• Excellent communication skills
• Strong analytical skills
• Data-driven approach to decision making

Good to Have

• Experience in operations, logistics, supply chain, finance, or other operational domains
• Familiarity with common AI use cases: classification, prediction, optimization, natural language processing, computer vision

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 Product Manager for Internal AI Enablement whose sole focus is using AI to optimize our back-office operations and drive operational excellence. This isn't about customer-facing features - this is about transforming how Stord operates internally by deploying AI across finance, people operations, warehouse management, transportation, and business operations.

Your mission is clear: transform our operational efficiency by deploying AI solutions that eliminate manual work, improve decision-making, and drive measurable cost savings.

This role requires someone who can operate at the intersection of AI technology and operational excellence - someone who understands both what's possible with modern AI and what actually moves the needle in a fast-growing company.

What You'll Do:

Identify & Prioritize High-Impact Opportunities:

• Partner with leaders across Finance, People, Operations, and Business teams to identify pain points where AI can drive measurable impact
• Quantify the business case for AI initiatives in terms of cost savings, efficiency gains, and margin improvement
• Build and maintain a prioritized roadmap of internal AI initiatives based on ROI and strategic importance
• Track and report on the business impact of deployed AI solutions

Drive AI Solutions from Concept to Production:

• Define requirements for internal AI tools and automation across back-office functions
• Work with data scientists and ML engineers to develop and deploy AI models that solve real operational problems
• Collaborate with internal stakeholders to ensure successful adoption and change management
• Iterate rapidly based on feedback and measurable business outcomes

Enable Organizational AI Adoption:

• Build frameworks and tools that enable non-technical teams to leverage AI in their daily work
• Create self-service AI capabilities that teams can use without engineering support
• Develop training and documentation to drive adoption of AI tools across the organization
• Measure and communicate the organizational impact of AI enablement initiatives

Specific Focus Areas:

• Finance & Accounting: Automate routine processes, optimize working capital management, improve financial reporting efficiency
• People Operations: Streamline talent acquisition, enhance onboarding experiences, improve employee productivity and engagement
• Customer Support: Automate ticket routing and resolution, enhance response quality, improve customer satisfaction metrics
• Warehouse & Fulfillment: Improve demand planning, optimize resource allocation, enhance quality processes, identify operational improvements
• Transportation & Logistics: Optimize network efficiency, improve cost management, enhance routing decisions
• Business Operations: Automate reporting workflows, build decision support tools, improve data accessibility and quality

What You'll Need:

Product Management Experience:

• 4-6 years of product management experience, preferably in B2B SaaS or operations-focused roles
• Experience building internal tools or enterprise software that drives operational efficiency
• Track record of shipping products that delivered measurable business impact
• Strong analytical skills with ability to quantify ROI and build business cases

AI/ML Understanding:

• Solid understanding of AI/ML capabilities and limitations - you don't need to be a data scientist, but you need to know what's possible
• Experience working with data science and ML engineering teams
• Familiarity with common AI use cases: classification, prediction, optimization, natural language processing, computer vision
• Understanding of how to evaluate AI solutions for production readiness and business value

Operational Excellence Mindset:

• Deep curiosity about how businesses operate and where inefficiencies exist
• Experience in operations, logistics, supply chain, finance, or other operational domains is a plus
• Ability to quickly understand complex business processes and identify improvement opportunities
• Comfort working with operational metrics: cost per unit, labor efficiency, margin analysis, etc.

Stakeholder Management:

• Excellent communication skills - you'll be working with executives, operations leaders, and technical teams
• Ability to build consensus and drive adoption across functions that may be skeptical of change
• Experience managing competing priorities and navigating organizational complexity
• Track record of building trusted relationships with business stakeholders

Execution & Results Orientation:

• Bias toward action - you move fast, ship incrementally, and learn from feedback
• Data-driven approach to decision making and measuring success
• Comfortable working in ambiguous environments where you need to define strategy from scratch
• Relentless focus on business outcomes over technical elegance

Success in This Role Looks Like

First 90 Days:

• Identify and prioritize high-impact AI opportunities across internal operations
• Ship initial AI solutions that demonstrate measurable value and build organizational momentum
• Establish clear metrics for tracking AI impact on operational efficiency

First Year:

• Deploy AI-powered tools and automations that drive significant cost savings and productivity gains
• Build repeatable frameworks that enable teams across the organization to leverage AI independently
• Demonstrate measurable improvements in operational efficiency and decision-making speed
• Position internal AI capabilities as a competitive advantage that enables faster, more profitable growth