Top Tech Jobs & Startup Jobs

Own and grow Hi‑Tech sector pipeline: build new‑logo opportunities, advance deals from intro to close, expand existing accounts, and provide competitive sector intelligence to leadership.

Lead and scale Retail & Consumer Goods consulting: drive discovery workshops, presales solutioning, strategic client advisory, author domain IP, and win large digital transformation deals across e-commerce, merchandising, and digital experience.

Lead and grow strategic client accounts for digital product and service offerings. Develop account plans and strategy, manage delivery and P&L, drive revenue and KPI targets, maintain CRM pipeline, manage escalations and risks, and collaborate with cross-functional teams to support digital transformation in the Consumer vertical.

Operate the deal desk and manage opportunity-to-booking lifecycle in Salesforce and DealHub. Ensure booking accuracy, support contracting workflows, coordinate across Sales/Finance/Legal, maintain renewal pipeline, and provide peak-period closing support (EOM/EOQ/EOY).

Lead design, development and deployment of scalable AI/LLM systems (RAG, agentic systems). Architect end-to-end ML pipelines, apply MLOps/LLMOps, integrate AI with enterprise platforms, ensure security/privacy/compliance, mentor teams, and drive presales and delivery for enterprise clients.

Lead backend development and architecture for cloud-based, microservices solutions. Design and review features and tests, enforce high coding and security standards, drive CI/CD and IaC, mentor teams, collaborate in distributed Agile teams, and deliver product roadmap milestones.

Design, build, and deliver enterprise-grade Generative AI/ML platform services, reusable frameworks, APIs, and agentic applications. Implement scalable model deployment, inference, monitoring, CI/CD, event-driven streaming (Kafka), and secure microservices while collaborating with architects, data scientists, and stakeholders to ensure governance, scalability, and operational excellence.

Manage end-to-end resource allocation and deployment, optimize bench utilization, forecast demand and build talent supply plans, drive internal mobility, partner with TA for external hires, and track utilization and deployment metrics.

Design, build, and deliver enterprise-grade Generative AI and AI/ML platform capabilities: reusable services, APIs, microservices, RAG and agentic solutions, model lifecycle tooling, inference and monitoring, event-driven streaming with Kafka, CI/CD and DevOps automation, and platform observability to accelerate AI adoption across business domains.

Design and implement complex web applications, improve engineering and quality standards, create/configure CI/CD pipelines, assist DevOps, participate in hiring and technical interviews, and mentor mid/junior engineers.