Senior Product Manager

About us

Hexight is a well funded start-up currently in the seed stage, with an operational product and paying clients, expecting to grow rapidly in the coming years. Hexight specializes in software development for supply chain management, offering solutions that leverage advanced planning and forecasting techniques to help businesses make smarter and faster decisions amidst uncertainty. Our expertise includes demand forecasting, experiment-driven planning, and probabilistic planning/forecasting.

Responsibilities

As a Senior Product Manager, you will own the product end-to-end - from user workflows to the strategic decisions that shape our AI-native supply chain platform. Your responsibilities will include:

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• Owning the product roadmap across our demand forecasting and AI planning modules, and prioritizing of research and development resources.
• Working directly with enterprise customers - demand planners, supply chain managers, and VPs of Operations - to turn real planning-floor problems into product decisions.
• Defining how planners interact with AI-generated forecasts and plans: building trust, transparency, and control.
• Lead adoption and usage initiatives for our live customers - including defining and measuring success metrics and identifying friction points.
• Collaborating daily with engineering, data science, and customer success to take features from insight to production, fast.

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‍Requirements

We are looking for a high-energy, hands-on individual who meets the following qualifications:

• 5+ years of product management experience, with at least 2 years in B2B SaaS serving enterprise customers.
• Proven track record of shipping data-heavy or AI/ML-driven products, and the analytical depth to engage with statistical analysis and probability theory.
• Strong customer instincts: comfortable leading discovery calls, challenging assumptions, and translating what users say into what they need.
• Excellent communication skills in English, written and verbal
• Ability to thrive in an early-stage environment: high ownership, fast iteration, and comfort with ambiguity.

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Advantages

Candidates with the following experience will be highly regarded:

• Domain experience in supply chain, manufacturing, logistics, or S&OP.
• Experience building products around AI agents and decision support.
• Hands-on data skills for independent product analysis.
• Proficiency in Python and its data libraries (e.g., pandas, NumPy)
• Experience taking a product from early adopters to scaled enterprise rollout.
• Familiarity with ERP ecosystems (SAP, NetSuite, Priority) and enterprise integrations.