Top Tech Jobs & Startup Jobs in Mumbai

Leads global sales order booking and consumables quoting across Europe and North America. Ensures timely, accurate, compliant order execution, turnaround-time adherence, quality, and revenue realization. Partners with Sales, Finance, Deal Desk, and Support teams to streamline order-to-cash processes, reduce operational risk, and prevent revenue leakage. Manages and develops operational teams, drives continuous improvement, and supports high-volume global transactions across multiple time zones.

The Strategic Marketing Leader will develop and drive the India Diagnostics platform strategy, manage upstream marketing, assess markets, and enhance product strategies. The role involves collaborating with stakeholders and ensuring effective execution of marketing plans.

Provides operational payroll support across APAC, including maintaining employee data, validating timekeeping, assisting with payroll runs and adjustments, responding to inquiries, maintaining records, supporting tax and labor compliance, and helping implement payroll system updates.

Designs, builds, and deploys production AI solutions for legal and compliance workflows. Responsibilities include developing LLM, RAG, and agentic applications; creating document processing and evaluation pipelines; implementing security, governance, and audit controls; partnering with legal, IT, and data teams; and mentoring legal users on AI tools. The role requires technical leadership across software engineering, data science, legal operations, and enterprise AI infrastructure.

Design and detail pressure vessels and related piping/skid systems per customer requirements and standards. Work cross-functionally to ensure safety, manufacturability, and compliance; support technical meetings, troubleshooting, and supplier/customer coordination.

Design, build, and deploy autonomous agents with Agentforce; develop and maintain Apex, Lightning Web Components, Flows and APIs; integrate Salesforce (Sales/Service/Data Cloud) with external systems (ERP) via REST/SOAP; advise stakeholders on AI use cases, conduct code reviews, troubleshoot, and ensure governance and adoption.

Design, build, and deploy AI-powered legal applications using LLMs, RAG, and agentic AI. Partner with legal stakeholders to translate workflows, build document ingestion and vector search pipelines, ship production-grade features, implement governance/security controls, and mentor/legal users while aligning solutions with enterprise architecture and monitoring quality and evaluation metrics.