Procurement Manager in India

About Glean: Glean is the Work AI platform that helps everyone work smarter with AI. What began as the industry’s most advanced enterprise search has evolved into a full-scale Work AI ecosystem, powering intelligent Search, an AI Assistant, and scalable AI agents on one secure, open platform. With over 100 enterprise SaaS connectors, flexible LLM choice, and robust APIs, Glean gives organizations the infrastructure to govern, scale, and customize AI across their entire business - without vendor lock-in or costly implementation cycles. At its core, Glean is redefining how enterprises find, use, and act on knowledge. Its Enterprise Graph and Personal Knowledge Graph map the relationships between people, content, and activity, delivering deeply personalized, context-aware responses for every employee. This foundation powers Glean’s agentic capabilities - AI agents that automate real work across teams by accessing the industry’s broadest range of data: enterprise and world, structured and unstructured, historical and real-time. The result: measurable business impact through faster onboarding, hours of productivity gained each week, and smarter, safer decisions at every level. Recognized by Fast Company as one of the World’s Most Innovative Companies (Top 10, 2025), by CNBC’s Disruptor 50, Bloomberg’s AI Startups to Watch (2026), Forbes AI 50, and Gartner’s Tech Innovators in Agentic AI, Glean continues to accelerate its global impact. With customers across 50+ industries and 1,000+ employees in more than 25 countries, we’re helping the world’s largest organizations make every employee AI-fluent, and turning the superintelligent enterprise from concept into reality. If you’re excited to shape how the world works, you’ll help build systems used daily across Microsoft Teams, Zoom, ServiceNow, Zendesk, GitHub, and many more - deeply embedded where people get things done. You’ll ship agentic capabilities on an open, extensible stack, with the craf

Asset Head - Techno Commercial is responsible for translating BU-wide Techno-Commercial strategies into effective execution across airport sites by leading sourcing, contracting, logistics, and vendor performance activities. The role ensures timely and cost-efficient procurement of airport-specific CapEx, OpEx, and services, supports operational continuity, enhances commercial controls, and drives process improvements and digital adoption while managing teams and enabling capability development at the site or cluster level. Source: Adani Group | Job ID: 52862

Lead - CFMC is responsible for translating corporate financial strategies into actionable controls and oversight mechanism. The role designs and implements capex plans, validates financial assumptions, monitors cash flows, and supports procurement and commercial negotiations. It ensures cost discipline by tracking financial KPIs, preparing variance reports, and driving corrective actions. The Lead works cross-functionally with project teams, finance, and commercial functions to maintain project hygiene, compliance, and ensure pre- and post-project return tracking. Source: Adani Group | Job ID: 46690

The Team Member-Purchase to Deliver is responsible for executing day-to-day activities in the purchase requisition to receipt cycle. This includes creating and processing purchase orders, managing post-PO processes (such as order acknowledgment, vendor coordination, BG tracking, and inspection coordination), and supporting the receipt of materials and services. The role ensures timely and accurate processing of procurement transactions in SAP and Ariba, maintains compliance with governance processes, and supports the resolution of operational issues under the guidance of the Lead-Purchase to Deliver Source: Adani Group | Job ID: 56211

The Team Member – Techno-Commercial will be responsible for driving the integration of technical expertise with commercial and operational objectives at the KFCL site. The role focuses on optimizing costs, enhancing operational efficiency, and supporting business decisions across ALL (AALL) and Warehousing functions. The incumbent will act as a key enabler between site operations, procurement, supply chain, and finance to ensure value-driven and commercially sound decisions. Source: Adani Group | Job ID: 57012

Who We Are Simpplr is the AI-powered intranet for unifying the digital workplace. It brings people, trusted knowledge, apps, and agents into a coherent digital experience. Powered by a proprietary EX Knowledge Graph, Simpplr synthesizes signals and context across connected systems to deliver personalized information and actions. The platform serves as a digital hub supporting communications, engagement, employee services, and work. With low-code extensibility and enterprise-grade security and governance, Simpplr enables confident operation at scale. More than 1,000 organizations — including AAA, the NHS, Penske, and Moderna — trust Simpplr to keep their workforce informed, aligned, and productive. Learn more at simpplr.com . About the role We are looking for a Lead Voice AI Engineer to build production-grade Voice Agents for frontline heavy verticals like healthcare, manufacturing, warehousing, retail, hospitality focusing on employee support, procurement, collections, logistics, ordering etc. You will lead the design of low-latency, real-time voice systems combining ASR, TTS, LLMs, conversational AI, enterprise workflows, knowledge retrieval, compliance, and human handoff. This is a hands-on technical leadership role for someone who can take Voice AI from architecture to production. Responsibilities Design and build the real-time voice runtime for live conversations. Build and optimize streaming ASR, TTS, VAD, endpointing, turn-taking, and barge-in. Build adaptive voice pipelines for high-noise frontline environments (60-112 dB), hospitals, factory floors, warehouses, including server-side noise cancellation, echo suppression, and dynamic ASR/TTS optimization for PSTN and mobile phone audio quality. Architect multi-provider speech routing across a broad multilingual matrix, including code-switching (e.g., Spanglish, Hinglish), where no single ASR or TTS provider covers all languages, and language detection, provider selection, and fallback chains must operate

MeltPlan is building the “planning engine” for the $14 Tn construction industry, an AI system designed specifically to optimize decisions before construction begins. While design software optimizes use and aesthetics and construction software optimizes execution and control, MeltPlan is building the missing layer - software that optimizes decisions and tradeoffs upstream, before scope is locked, procurement begins, and change orders become inevitable. MeltPlan’s long-term goal is to help teams make construction “boring” by making planning more intense: surfacing constraints and tradeoffs early, aligning stakeholders before plans are frozen, and reducing the need for late-stage redlines, rework, and change orders. MeltPlan is founded by operators who have built at scale. Kanav previously co-founded Innovaccer, a $3Bn healthtech company focused on making US healthcare more affordable and accessible. He’s now applying that systems-level thinking to construction.He’s joined by Tanmaya Kala, former Project Executive at DPR Construction, who led large commercial, healthcare, and life sciences projects. We combine deep tech scale with real construction execution. What This Role Really is : We are seeking a detail-oriented and technically strong AI QA Engineer to ensure the quality, reliability, and performance of Large Language Model (LLM)-based systems. In this role, you will be responsible for designing and executing test strategies, validating model outputs, and building evaluation frameworks to enhance the accuracy, safety, and overall performance of AI-driven applications.We would particularly value candidates who have hands-on experience in developing evaluation frameworks (evals) for AI systems, along with strong expertise in comprehensive system testing and quality assurance practices.You are responsible for making MeltPlan work in the real world. What You'll Do: Design, develop, and execute evaluation frameworks (Evals) for Large Language Models (LLMs) and AI syst

About this Role OpenAI’s Finance organization is helping build the company and finance team of the future. Across Corporate Finance, Strategic Finance, Accounting, Tax, Treasury, Procurement, Real Estate & Workplace, Corporate Development, and Economic Research, teams are using OpenAI’s products to reshape core workflows, improve operating leverage, and surface practical lessons about how AI changes enterprise functions. As this work scales, Finance is becoming both a proving ground for real-world AI adoption and an increasingly important proof point for customers, and a feedback loop for Product, Research and Revenue teams. The opportunity is no longer just to capture isolated examples, but to turn them into a coherent program that strengthens OpenAI’s internal operations, informs product development, and helps the company explain what high-value enterprise AI adoption looks like in practice. The Visual Storytelling & AI Innovation Lead partners directly with the Chief of Staff to the CFO to turn Finance’s most important work into clear, visually compelling executive artifacts. This person will personally create CFO-facing presentations, board materials, executive briefings, customer-facing materials, and reusable design systems; shape the story architecture for high-stakes leadership and external moments; and establish the visual storytelling and presentation quality bar across Finance. The role will work closely with Global Affairs, Corporate Communications, Investor Relations, and Marketing to ensure this work supports broader messaging, audience, and channel strategies. The role will also turn Finance AI workflows into credible demos, proof points, and transformation stories; help Economic Research package and amplify its work; identify and elevate flagship use cases with Finance and Enterprise Platforms & Technology leaders; and develop content and materials that support customer and external engagement. This is a hands-on individual contributor ro

Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation. We're looking for a Partner Sales Specialist to help scale Replit's strategic partnership ecosystem into a repeatable and measurable revenue channel. This role sits at the intersection of Partnerships and Enterprise Sales, serving as the execution engine behind our co-sell motions with strategic partners including Microsoft, Google Cloud, Databricks, and future ecosystem partners. You will work directly with Account Executives, Strategic Alliances, and partner field teams to identify opportunities, coordinate co-sell engagement, accelerate deal progression, and drive measurable business outcomes through partnerships. This is a highly collaborative and externally facing role for someone who enjoys building relationships, working directly with sales teams, and turning strategic partnerships into pipeline and revenue. You'll play a critical role in helping Replit establish partnerships as a scalable enterprise growth channel. What You'll Do Drive enterprise co-sell motions across Replit's strategic partnerships, including Microsoft, Google Cloud, Databricks, and future ecosystem partners. Partner closely with Account Executives to identify opportunities where strategic partners can accelerate customer acquisition, expansion, and procurement. Build trusted working relationships with partner account teams to increase co-sell engagement and opportunity progression. Conduct recurring account mapping exercises with strategic partners to identify whitespace opportunities and prioritize joint engagement. Coordinate partner involvement throughout the sales cycle, ensuring opportunities receive appropriate partner support and visibility. Drive partner sourced and partner influenced opportunities through active coordination, follow