Product Manager (Analytics & AI)
ΠΡΡΡ & Π‘ΠΎΠΏΡΠΎΠ²ΠΎΠ΄
ΠΠ»Ρ ΠΌΡΡΡΠ° Ρ ΡΡΠΎΠΉ Π²Π°ΠΊΠ°Π½ΡΠΈΠ΅ΠΉ Π½ΡΠΆΠ΅Π½ Plus
ΠΠΏΠΈΡΠ°Π½ΠΈΠ΅ Π²Π°ΠΊΠ°Π½ΡΠΈΠΈ
TL;DR
Product Manager (Analytics & AI): Own the strategy, roadmap, and execution of client-facing analytics and AI-powered insights for supply chain risk management platform with an accent on conversational analytics, NLQ to insights, and embedded visualizations. Focus on defining semantic models, leveraging AI infrastructure like Snowflake Cortex, and partnering with data engineering and platform teams to deliver actionable supplier readiness insights.
Location: US - Remote
Salary: $87,500 - $180,000 per year, with a potential bonus
Company
is a SaaS platform connecting global enterprises with qualified, safe, and compliant suppliers, transforming supply chain risk, compliance, and sustainability management.
What you will do
- Own product vision, strategy, and roadmap for Analytics & AI surface, balancing near-term delivery with long-term innovation and managing cross-team dependencies.
- Drive end-to-end client-facing analytics experience including dashboards, reports, and insights for supplier readiness, risk, and compliance.
- Define and deliver conversational analytics capabilities like NLQ to Insight using natural language for data-grounded answers.
- Partner with Data Engineering, Data Science, and Platform teams to leverage AI infrastructure such as Snowflake Cortex for generative analytics.
- Shape semantic models, metrics layers, and embedded visualizations with tools like Sisense, Tableau, or Qlik.
- Leverage AI tools for your own PM work including research, user stories, and prototyping; collaborate on sprint planning with Aha!, Jira, and Figma.
- Drive analytics adoption with Customer Success, Sales, and Implementation teams.
Requirements
- 5+ years Product Management experience owning shipped capabilities in multi-tenant SaaS
- Bachelor's in Computer Science, Engineering, Statistics, Data Science or equivalent technical depth
- Hands-on experience building and launching customer-facing analytics products (not just internal tools)
- Experience with analytics data infrastructure like Snowflake or Databricks, including data models and semantic layers
- Experience delivering embedded analytics with Sisense, Tableau, Qlik, or Looker
- Working knowledge of AI/ML in analytics: NLQ, conversational BI, LLM integration
- Proficiency with Aha!, Jira, Figma; strong analytical and communication skills
Nice to have
- Familiarity with Snowflake Cortex or similar LLM-backed analytical tools
- Experience in B2B SaaS, supply chain, risk management, EHS/HSE, ESG, or workforce compliance
- Track record leading go-to-market initiatives from discovery to launch
Culture & Benefits
- Mission-driven: Protect workers and build sustainable supply chains through visible analytics
- Strategic ownership of high-impact product surface with real AI roadmap priorities
- Culture of innovation, curiosity, and AI amplification for product and workflows
- Comprehensive benefits: health, dental, vision insurance, 401(k), PTO
ΠΡΠ΄ΡΡΠ΅ ΠΎΡΡΠΎΡΠΎΠΆΠ½Ρ: Π΅ΡΠ»ΠΈ ΡΠ°Π±ΠΎΡΠΎΠ΄Π°ΡΠ΅Π»Ρ ΠΏΡΠΎΡΠΈΡ Π²ΠΎΠΉΡΠΈ Π² ΠΈΡ ΡΠΈΡΡΠ΅ΠΌΡ, ΠΈΡΠΏΠΎΠ»ΡΠ·ΡΡ iCloud/Google, ΠΏΡΠΈΡΠ»Π°ΡΡ ΠΊΠΎΠ΄/ΠΏΠ°ΡΠΎΠ»Ρ, Π·Π°ΠΏΡΡΡΠΈΡΡ ΠΊΠΎΠ΄/ΠΠ, Π½Π΅ Π΄Π΅Π»Π°ΠΉΡΠ΅ ΡΡΠΎΠ³ΠΎ - ΡΡΠΎ ΠΌΠΎΡΠ΅Π½Π½ΠΈΠΊΠΈ. ΠΠ±ΡΠ·Π°ΡΠ΅Π»ΡΠ½ΠΎ ΠΆΠΌΠΈΡΠ΅ "ΠΠΎΠΆΠ°Π»ΠΎΠ²Π°ΡΡΡΡ" ΠΈΠ»ΠΈ ΠΏΠΈΡΠΈΡΠ΅ Π² ΠΏΠΎΠ΄Π΄Π΅ΡΠΆΠΊΡ. ΠΠΎΠ΄ΡΠΎΠ±Π½Π΅Π΅ Π² Π³Π°ΠΉΠ΄Π΅ β