Senior Manager, New Verticals - In Store Intelligence Strategy & Operations (AI)
ΠΡΡΡ & Π‘ΠΎΠΏΡΠΎΠ²ΠΎΠ΄
ΠΠ»Ρ ΠΌΡΡΡΠ° Ρ ΡΡΠΎΠΉ Π²Π°ΠΊΠ°Π½ΡΠΈΠ΅ΠΉ Π½ΡΠΆΠ΅Π½ Plus
ΠΠΏΠΈΡΠ°Π½ΠΈΠ΅ Π²Π°ΠΊΠ°Π½ΡΠΈΠΈ
TL;DR
Senior Manager, New Verticals - In Store Intelligence Strategy & Operations (AI): Building and scaling the operational engine for an AI-powered ground truth platform that collects in-store data and improves inventory accuracy, Dasher pick time, and customer selection with an accent on strategy, marketplace operations, and physical-digital AI. Focus on designing real-time shelf-data systems, scaling multimodal ML-powered platform capabilities, and leading complex cross-functional decisions across product, engineering, and operations.
Location: New York, NY, with a hybrid work model and regular in-office collaboration
Salary: $170,000β$250,000 USD per year, plus potential equity grants.
Company
operates a technology-powered marketplace spanning restaurant delivery, grocery, convenience, alcohol, and retail.
What you will do
- Own the strategy and operational engine for the ground truth AI platform across tens of thousands of physical stores.
- Design systems for capturing real-time shelf data and connecting it to customer, Dasher, and merchant product experiences.
- Build roadmaps and lead initiatives from concept through launch, optimization, and large-scale deployment.
- Manage metrics and analyze operational and financial impacts using data, SQL, and Excel modeling.
- Lead a cross-functional pod spanning product, engineering, ML, design, and operations.
- Scale the platform across inventory accuracy, catalog, pricing, customer selection, and Dasher pick-time use cases.
Requirements
- 8+ years of professional experience in technology, operations, strategy, consulting, banking, or a related field.
- 2+ years of experience managing high-performing teams.
- Experience solving ambiguous problems from first principles and operating across strategic and detailed execution levels.
- Strong analytical skills, including the ability to work with SQL and Excel-based modeling.
- Technical fluency and experience partnering with ML and engineering teams on complex trade-offs.
- Completed BS/BA degree, ideally in business or engineering.
Nice to have
- Experience in marketplace operations, fulfillment, or data-intensive platform environments.
- MBA.
Culture & Benefits
- Hybrid collaboration combining in-office and remote work.
- 401(k) plan with employer matching.
- Medical, dental, vision, disability, and basic life insurance.
- 16 weeks of paid parental leave, family-forming assistance, and mental health support.
- Flexible paid time off, 80 hours of paid sick time annually for salaried roles, and 11 paid holidays.
- Wellness benefits, commuter benefits matching, and other employee support programs.
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