Lead Expert in India

Who We Are Notion is the collaborative AI workspace where teams and agents think together . We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. About the Role We’re looking for a Head of Total Rewards to make compensation and benefits a true talent-density lever at Notion. This role will be part of the People Leadership Team and will report to our Chief People Officer. This is not a “run the standard comp playbook” role. You’ll reimagine our total rewards philosophy for a new era: one where Notion is scaling fast, operating in a highly competitive market, and building AI into how work gets done. You’ll bring the vision and craft to transform how we design, communicate, and operationalize total rewards - so our programs are clear, fair, competitive, and set the foundation for a pay-for-performance culture that motivates our people to go above and beyond. You’ll lead a team across compensation, equity, and benefits, and you’ll be a key partner to the C-Suite, Finance, Recruiting, and our Compensation Committee. Executive compensation is a core part of the scope, as is building the operating system (tooling, data, processes, governance) that lets us move with speed and precision as we grow - while staying thoughtful about risk, compliance, and scale. We’re looking for a high-ag

About Ema Ema is building the world’s leading Agentic AI platform to transform enterprise productivity. We enable organizations to delegate repetitive tasks to Ema, the Universal AI Employee, delivering 10x gains in workforce efficiency, across functions. Founded by former executives from Google, Coinbase, Flipkart, and Okta, our team includes engineers from premier tech companies and graduates of Stanford, MIT, UC Berkeley, CMU, and IITs. We are backed by industry leading investors including Accel, Naspers/Prosus, Section32, and angels like Sheryl Sandberg and Dustin Moskovitz. Headquartered in Silicon Valley and with offices in London, Bangalore and Vancouver, Ema is at the frontier of what Agentic AI can do in production — we ship real systems that run real business processes at scale. Who you are We're looking for an innovative and passionate Machine Learning Engineers to join our team. You are someone who loves solving complex problems, enjoys the challenges of working with huge data sets, and has a knack for turning theoretical concepts into practical, scalable solutions. You are a strong team player but also thrive in autonomous environments where your ideas can make a significant impact. You love utilizing machine learning techniques to push the boundaries of what is possible within the realm of Natural Language Processing, Information Retrieval and related Machine Learning technologies. Most importantly, you are excited to be part of a mission-oriented high-growth startup that can create a lasting impact. You will: Conceptualize, develop, and deploy machine learning models that underpin our NLP, retrieval, ranking, reasoning, dialog and code-generation systems. Implement advanced machine learning algorithms, such as Transformer-based models, reinforcement learning, ensemble learning, and agent-based systems to continually improve the performance of our AI systems. Lead the processing and analysis of large, complex datasets (structured, semi-structured, and

About Paytm Lending Paytm’s Lending marketplace connects millions of consumers and merchant partners with top NBFCs and banks across Personal Loans, Merchant Loans, Postpaid, and Credit Cards. We build cutting-edge financial products powered by real-time risk modelling, seamless distribution, and high-volume transaction processing. Role Overview We are seeking an energetic, analytical, and business-focused Manager – Business Finance to join our Lending Finance team. In this role, you will act as a key financial partner to business leads, product managers, and risk teams across Personal Loans, Merchant Loans, and Credit Cards portfolios. You will be responsible for driving financial planning, developing bottom-up revenue models, tracking portfolio yields/costs, and delivering actionable insights to the CFO and CEO to maximize profitability and operational efficiency. Key Responsibilities 1. Revenue Modelling & Portfolio Economics - Build, maintain, and refine end-to-end financial & revenue models for lending products (Merchant Loans, Personal Loans, Postpaid). Model monthly/daily interest accruals, processing fee (PF) yields, First Loss Default Guarantee (FLDG) provisions, collection costs, and Cost of Funds (COF) across diverse lender partners. - Conduct scenario modelling (AOP vs. Actuals, MBR updates, Team Plans) to assess the impact of take-rate changes, volume mix shifts, and credit policy tightening. 2. Business Partnering & Decision Support - Act as a co-pilot to Business Heads to evaluate new commercial constructs, lender tie-ups, and product feature launches. - Analyze unit economics (Revenue per Disbursed/Booked Card, Net ROI, Take Rates, Risk-Adjusted Returns) at a product and lender level to guide business strategy. - Analyze risk vs. return trade-offs (GCL vs. Net ROI) across partner lenders to optimize portfolio allocation. 3. Financial Planning & Analysis (FP&A) - Lead the Annual Operating Plan (AOP) creation, monthly business reviews (MBR), and q

Client Onboarding Director, Inference and Agentic AI Location: Noida Company: Paytm About Paytm Paytm is a pioneer of digital payments in India, serving over 450 million consumers and 45 million merchants across payments, financial services, and commerce. Over the years, Paytm has built deep in-house capabilities across technology, data, and operations to operate at scale with high reliability. Paytm is building a full stack AI platform focussed on Inference and Agents, enabling large enterprises to deploy AI driven automation across sales, service, operations, and analytics. The Inference and Agentic AI team operates as a cross functional unit spanning engineering, product, data science, business management, and sales, and owns the full lifecycle of AI solutions from opportunity discovery to deployment and scale. Role Overview Paytm is looking to hire a Client Onboarding Director to own implementation delivery and client onboarding governance for Paytm’s AI Inference and Agentic AI products across enterprise clients. This is a managerial role that will lead Client Onboarding Managers and ensure that enterprise deployments move smoothly from sales closure to go live and early adoption. The role sits at the intersection of client teams, product, engineering, business, and sales, and is responsible for converting signed enterprise deals into successful, timely, and scalable deployments. The candidate will own delivery planning, integration governance, risk management, stakeholder communication, and post go live stabilization across enterprise AI agent deployments. The role requires strong program management, technical understanding, client handling, and ability to drive execution across multiple internal and external teams. Key Responsibilities Delivery Ownership and Implementation Governance Own end to end delivery governance for enterprise AI agent deployments from sales handoff to go live and stabilization. Lead the implementation planning process across scope

About Paytm Paytm is a pioneer of digital payments in India, serving over 450 million consumers and 45 million merchants across payments, financial services, and commerce. Over the years, Paytm has built deep in-house capabilities across technology, data, and operations to operate at scale with high reliability. Paytm is building a full stack AI platform focussed on Inference and Agents, enabling large enterprises to deploy AI driven automation across sales, service, operations, and analytics. The Inference and Agentic AI team operates as a cross functional unit spanning engineering, product, data science, business management, and sales, and owns the full lifecycle of AI solutions from opportunity discovery to deployment and scale. Role Overview Paytm is looking to hire a Client Onboarding Director to own implementation delivery and client onboarding governance for Paytm’s AI Inference and Agentic AI products across enterprise clients. This is a managerial role that will lead Client Onboarding Managers and ensure that enterprise deployments move smoothly from sales closure to go live and early adoption. The role sits at the intersection of client teams, product, engineering, business, and sales, and is responsible for converting signed enterprise deals into successful, timely, and scalable deployments. The candidate will own delivery planning, integration governance, risk management, stakeholder communication, and post go live stabilization across enterprise AI agent deployments. The role requires strong program management, technical understanding, client handling, and ability to drive execution across multiple internal and external teams. Key Responsibilities Own end to end delivery governance for enterprise AI agent deployments from sales handoff to go live and stabilization. Lead the implementation planning process across scope, timelines, milestones, dependencies, risks, and success metrics. Ensure every enterprise deployment has a clear project plan, own

About the Team The Platform Hiring Team (PHT) is building a centralized, technology-enabled hiring engine for repeatable, scaled hiring roles across supported DoorDash, Deliveroo and Wolt businesses. You'll join the Platform Hiring Team, PHT's system-facing execution arm. This team owns candidate delivery inside the active hiring platform, today Fountain: reviewing AI-supported recommendations, making the final hiring decision, and moving candidates through to offer at speed and scale. About the Role You'll work within Fountain, Greenhouse or future ATS systems completing assigned workflows within agreed service windows and approved productivity standards. You'll review AI-supported recommendations, assess interview content, confirm eligibility and rehire status, and make and document the final human candidate progression decision using approved criteria. You'll complete the approved offer flow and promptly escalate pipeline risks, system defects, scoring anomalies, compliance concerns, and recurring workflow friction to your Team Lead. You're excited about this opportunity because you will Work from shared platform queues and complete assigned workflows within agreed service windows. Own assigned candidate cases across application review, candidate contact, interview coordination where required, progression, offer acceptance, system disposition, and accepted-offer handoff. Review platform and AI-supported recommendations using approved, job-related criteria. Review interview content, eligibility, rehire status, and required hiring information. Make and document the final human candidate progression decision within the approved process. Maintain timely candidate communication, manage rescheduling or no-show recovery, and close cases professionally. Trigger an approved offer video or conduct an offer call based on the role, market, and candidate need. Maintain complete, accurate, and compliant candidate records in the active system. Escalate low pipeline, system defe

About the Team DoorDash Labs is an independent team within DoorDash. We explore robotics and automation to transform last mile logistics in the long term. If you have a passion for applying robotics solutions in a service used by millions of people, we want to talk to you! About the Role In this role, your main focus will be to work on a variety of QA and triage tasks to assist in the development of our autonomous delivery robot. A primary focus of the role will be to triage the logs of the daily testing runs of the robots conducted in the US. This includes replaying and analyzing specific events as annotated by the testing team, categorizing such events, and working with the software team to evaluate any required improvements. The role could also involve setting up various simulation scenarios for testing within our simulation environment as well as creating maps used by the autonomy stack for navigation. You’re excited about this opportunity because you will… Analyze: Utilize proprietary diagnostic tools and techniques to triage and diagnose robot autonomy issues accurately and efficiently Execute: Take charge of ensuring the prompt analysis of issues, generating reports and data visualizations that effectively prioritize and summarize identified issues Build: Develop and construct diverse scenarios within a simulation environment to test and validate new autonomy features. Additionally, create and maintain a library of scenarios to support comprehensive regression testing Collaborate: Work cross-functionally with Operations, Program Management, and Software Engineering teams to provide an effective feedback loop of identifying, routing, and monitoring key issues across various systems of the autonomy stack Optimize: Streamline and enhance QA processes and workflows Lead: Have opportunities to take end-to-end ownership of QA initiatives, encompassing process establishment, defining metrics, new team member training, execution, quality auditing, and rep

Location: Remote, India At GoDaddy the future of work looks different for each team. Some teams work in the office full-time; others have a hybrid arrangement (they work remotely some days and in the office some days) and some work entirely remotely.​ This is a remote position, so you’ll be working remotely from your home. You may occasionally visit a GoDaddy office to meet with your team for events or meetings. Join Our team As a Senior Manager of Site Reliability Engineering, you will lead GoDaddy's SRE Center of Excellence in India. You will hold a senior role in the overall engineering leadership team. You will support GoDaddy's growth of its engineering footprint in India and develop a high-performing, cross-time-zone, globally unified SRE team. The object