Head of Product & Engineering (Ecommerce, Point of Sale, SaaS, Java, AI/ML) - Redwood City, CA - Permanent Position

Overview

On Site
Depends on Experience
Full Time

Skills

Head of Product
Artificial Intelligence
Electronic Commerce
Google Cloud Platform
Machine Learning (ML)
Golang
Java
Point Of Sale
SaaS
RFID
Retail

Job Details

Head of Product & Engineering with Ecommerce/Retail/Point of Sale (SaaS, Java/Golang, Azure/Google Cloud Platform & AI/ML) Redwood City, CA (3 days onsite in a week) Fulltime / Permanent Position

What We re Looking For
10+ years in software engineering, with at least 3+ years in a senior leadership role
Experience scaling modern SaaS platforms with strong instincts for modular architecture, cloud-native development, and delivery at speed
Travel required to India as you see fit to create a winning product and culture
Technical leadership in Go, or proven experience transitioning from legacy Java stacks to modern frameworks
Strong understanding of Google Cloud Platform (or equivalent cloud) services and architecture
Experience embedding AI/ML/LLM into real products, not just demos
Ability to mentor and manage distributed teams with flexibility for India time zones and culture
Collaborative, humble, and focused no cowboy coders, no hand-wavers
Experience working with strategic partners on tech integrations or co-innovation projects

Additional Product Leadership Experience
Proven ability to define and drive product strategy in partnership with executive leadership.
Strong customer empathy with a track record of incorporating user feedback into roadmap decisions.
Experience balancing short-term delivery with long-term product vision.
Ability to run cross-functional roadmap reviews and align engineering priorities with business and customer outcomes.
Comfort owning adoption and success metrics across both product and engineering.

Bonus Points
Background in retail tech, RFID, or edge-device + cloud hybrid systems
Track record of cleaning up or accelerating underperforming delivery orgs
Prior work in companies scaling from product-market fit to repeatable, enterprise-grade scale

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