About WizCommerce

Wholesale distribution is a $10T+ industry — and most of it still runs on fax, spreadsheets, and legacy ERPs. We're here to change that.

WizCommerce is the AI Operating System for B2B Trade. We build AI-native commerce solutions that sit on top of the ERPs distributors already use — no rip and replace, no 12-month implementations. Just real transformation, fast.

Our platform combines an AI-native CRM, B2B website builder, embedded finance, and AI co-workers (order entry, quoting, content) into one unified system built for how wholesale actually works.

The results speak for themselves:

• 180% Net Revenue Retention

• 4X YoY ARR growth

• 400% growth in customers with >$50K ACV

• 95% implementation success rate (vs. an industry average of 30%)

We serve 150+ customers across North America — from Jaipur Living to Loloi — and we're a fast-growing team backed by Peak XV Partners, Blume Ventures, Alpha Wave Global, and others.

If you want to build category-defining software in a massive, underserved industry — with a team that has genuinely lived the problem — WizCommerce is the place to be.

Our product ecosystem includes:

WizOrder: AI-powered, mobile-first ordering system for B2B order journeys—even offline.
WizShop: AI-driven, 24/7 self-service B2B ecommerce platform.
WizStudio: AI-powered creative platform generating studio-quality lifestyle imagery.
KAI: Industry's first AI-powered sales assistant with RAG, customer intelligence, and workflow automation.
WizCRM & WizPay: AI-enhanced CRM and flexible B2B payment solutions.
WizAgent (Roadmap): Agentic marketplace where autonomous AI agents facilitate B2B transactions.

The Role

As a Senior Engineering Manager at WizCommerce, you will lead and scale multiple engineering squads (15–20+ engineers) building AI-native commerce applications. This role combines deep technical expertise in AI/ML product development with strategic team leadership.

You'll own end-to-end delivery of AI-powered features across our product suite—from WizStudio's generative image capabilities to KAI's intelligent sales assistant—ensuring applications are performant, scalable, and deliver transformative value to customers.

Tech Stack

Frontend: React, React Native, TypeScript, Next.js
Backend: Python (FastAPI), Node.js, GraphQL, REST APIs, microservices architecture
AI/ML: LLM integrations (OpenAI, Claude, Gemini), multimodal models (SDXL, Flux, CLIP, ControlNet, SigLIP, Whisper), RAG pipelines, vector databases (Pinecone, FAISS, pgvector)
Data: PostgreSQL, Redis, Elasticsearch, BigQuery, Airflow
Cloud & Infra: GCP (primary), AWS, Kubernetes (GKE), Cloud Run, GPU clusters, Docker, Terraform
DevOps: GitHub Actions, ArgoCD, CI/CD pipelines, automated testing

Responsibilities

Team Leadership

Build, mentor, and lead high-performing engineering squads across full-stack and AI application development.
Scale engineering from 15 to 30+ engineers; establish hiring strategies and talent pipelines.
Foster a culture of ownership, innovation, and technical excellence.

AI Application Delivery

Own roadmap and execution of AI-powered features across WizStudio, KAI, WizOrder, and WizShop.
Architect real-time AI experiences: generative image workflows, conversational AI with function calling, RAG-powered recommendations, and agentic workflows.
Design AI integration patterns—streaming responses (SSE/WebSockets), inference caching, prompt management, graceful degradation.

Technical Strategy

Define full-stack architecture for AI-first applications—frontend state management, API design for model serving, real-time data sync.
Lead decisions on LLM gateway patterns, multi-provider routing, inference cost optimization, and latency targets.
Balance technical debt with feature velocity; ensure sustainable code health.

Engineering Excellence

Champion CI/CD, automated testing, feature flags for AI rollouts, and observability.
Establish SLOs for AI performance—p95/p99 latency, model accuracy, cost-per-inference.
Build monitoring for AI systems—model drift detection, latency degradation, token usage anomalies.

What You'll Build

Scale WizStudio's generative image pipeline to 10x volume with improved quality and reduced latency.
Launch KAI 2.0 with agentic capabilities—autonomous order creation, intelligent follow-ups, proactive engagement.
Build WizAgent foundation—multi-agent orchestration for autonomous B2B transactions.
Reduce AI inference costs by 40% through caching, batching, and model routing optimization.

Must-Have Qualifications

Experience: 8–10 years of professional engineering experience with 4+ years managing teams of 10+ engineers in high-growth SaaS or technology companies.
AI/ML Product Experience: Shipped AI-powered features in production—LLM integrations, generative AI, RAG systems, or intelligent automation.
Full Stack Depth: Hands-on expertise in Python (FastAPI), React/React Native, TypeScript, and cloud-native architectures.
AI Integration Architecture: Experience with model serving APIs, streaming responses, vector databases, embedding pipelines, and prompt engineering at scale.
Cloud & Infrastructure: Deep understanding of GCP/AWS, Kubernetes, microservices, GPU workloads, and DevOps practices.
Communication: Ability to communicate technical concepts to diverse audiences and align stakeholders.

Nice-to-Have

Experience in B2B SaaS, ecommerce, or commerce platforms.
Background with generative AI—image generation (Stable Diffusion, DALL-E), LLM applications, or multimodal systems.
Experience with agentic AI—LangChain, LlamaIndex, or custom agent orchestration.
Familiarity with MLOps—MLflow, Weights & Biases, model versioning.

Why WizCommerce

Build AI-first products transforming a $10 trillion industry.
Work with a deeply technical founding team from Bessemer, EY-Parthenon, and Zomato.
Shape engineering culture in hypergrowth (5× growth in 2025).
Influence products touching $100M+ GMV, 700+ reps, 300K+ buyers.
Competitive compensation, meaningful equity, and a high-autonomy environment.

Location: Bengaluru / Gurugram

Learn more: wizcommerce.com