Product Manager Analytics & AI

Accountabilities

• Own the product vision, strategy, and roadmap for analytics and AI capabilities, ensuring alignment between near-term delivery needs and long-term innovation goals.

• Define and evolve client-facing analytics experiences, including dashboards, reports, and insight tools that help enterprise users assess supplier readiness, risk, and compliance.

• Lead the development of conversational analytics features, including natural language query (NLQ) capabilities that deliver accurate, data-grounded insights.

• Partner with Data Engineering, Data Science, and Platform teams to design and leverage AI infrastructure, including LLM-powered and Snowflake Cortex-based capabilities.

• Work closely with analytics infrastructure teams to shape semantic data models, metrics layers, and embedded visualization experiences using BI tools.

• Use AI tools internally to accelerate product management work, including research, discovery synthesis, user story development, and prototyping.

• Collaborate with Customer Success, Sales, and Implementation teams to drive adoption, gather feedback, and refine analytics capabilities based on real-world usage.

Requirements

• 5+ years of Product Management experience in a SaaS environment with ownership of shipped, customer-facing product capabilities.

• Strong background in building and launching analytics or data-driven products for external enterprise users (not limited to internal reporting tools).

• Experience working with data platforms such as Snowflake, Databricks, or equivalent, with understanding of data modeling and semantic layers.

• Familiarity with embedded analytics and BI tools such as Tableau, Sisense, Qlik, or Looker.

• Understanding of AI/ML product concepts applied to analytics, including NLQ, conversational BI, and LLM integration patterns.

• Ability to collaborate effectively with data engineers, ML engineers, and technical stakeholders; strong technical credibility preferred.

• Hands-on experience using AI tools to enhance product workflows, research, and decision-making.

• Proficiency with product and design tools such as Aha!, Jira, and Figma (or equivalents).

• Strong analytical thinking, data literacy, and communication skills for both technical and executive audiences.

• Experience in enterprise SaaS, supply chain, compliance, or risk-related domains is a plus.

Benefits

• Competitive annual salary range ($87,500 – $180,000) plus bonus eligibility

• Comprehensive health, dental, and vision insurance

• 401(k) retirement savings plan

• Paid time off (PTO) and flexible work policies

• Opportunity to work on AI-driven and analytics-first product innovation

• Exposure to enterprise-scale SaaS and mission-critical supply chain solutions

• Inclusive and innovation-driven culture with strong focus on experimentation and AI adoption

• Career development in a product organization actively investing in modern AI capabilities

How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
 Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

#LI-CL1