Associate Legal Counsel Jobs

The incumbent will be responsible for end-to-end planning, execution, and management of transmission line projects for Adani Green Energy’s renewable portfolio. The role is critical to ensuring timely evacuation, grid connectivity, regulatory compliance, and operational reliability of transmission infrastructure associated with large-scale solar and wind projects. Source: Adani Group | Job ID: 52766

The Head of Contract Administration is a central figure in managing the full lifecycle of government contracts for coal mining projects. This role involves direct interfacing with Mine Owner PSUs of MDO contracts, ensuring strict adherence to contractual terms and conditions, and managing the administration and compliance aspects from contract signing to project closure. The incumbent is responsible for mitigating risks associated with commercial agreements, maintaining continuous correspondence with stakeholders, and ensuring the organization's interests are safeguarded. He oversees the entire scope of Contract Administration including assessing risks and opportunities and formulating strategy for the same. Source: Adani Group | Job ID: 51515

Lead - Field instrumentation Engineer AHP and Water circuit (BOP) This role is responsible to manage the continuous availability and reliability of Control & Instrumentation (C&I) systems for the Ash Handling Plant (AHP) and water treatment systems through regular maintenance, system backups, and technical audits. This role involves managing business associates and ensuring adherence to budgets for optimal system performance. Source: Adani Group | Job ID: 51391

The role holder will be responsible for coordinating land acquisition and Land & Estate activities for renewable energy projects, acting as the key interface between the Site Land Team and Head Office. The position will ensure timely land availability, statutory approvals, documentation, stakeholder coordination, and compliance with applicable land, revenue, and regulatory requirements for solar, wind, hybrid, and associated infrastructure projects. Source: Adani Group | Job ID: 57058

About Us: Paytm is India's leading mobile payments and financial services distribution company. Pioneer of the mobile QR payments revolution in India, Paytm builds technologies that help small businesses with payments and commerce. Paytm’s mission is to serve half a billion Indians and bring them to the mainstream economy with the help of technology. About the team: CST Team comprises service associates who help customers get onboarded on Paytm and help them have a good experience of Paytm services. About the role: Candidate has to handle concerns and complaints raised by the customers/merchants on a day-to-day basis and make sure the daily tasks are being closed within the defined TAT with a good customer experience. Expectations/ Requirements: ● Resolving day-to-day queries of the customers/merchants via call/chat. ● Oversee day-to-day management of campaigns and ensure brand consistency ● Ensure brand consistency in copy through tone, voice, and terminology ● Developing and implementing a timeline to achieve targets. Superpowers/ Skills that will help you succeed in this role: ● High level of drive, initiative, and self-motivation ● 1+ years’ experience in customer support ● Exceptional multi-tasking skills ● Strong problem-solving skills Educational Qualification: Any Graduate. Why join us 1. A collaborative output-driven program that brings cohesiveness across businesses through technology 2. Improve the average revenue per use by increasing the cross-sell opportunities 3. A solid 360 feedback from your peer teams on your support of their goals 4. Respect, that is earned, not demanded from your peers and manager Compensation: If you are the right fit, we believe in creating wealth for you With enviable 500 mn+ registered users, 21 mn+ merchants and depth of data in our ecosystem, we are in a unique position to democratize credit for deserving consumers & merchants – and we are committed to it. India’s largest digital lending story is brewing

The Internal Product Analytics (IPA) team is the analytics backbone of Datadog's Product organization. With over thirty products on a single platform, IPA gives PMs and leadership the data, tooling, platform, and analysis they need to make good decisions. The team owns the recurring analytical work the Product org runs on and builds the AI-first workflows that make that analysis faster and more consistent across the org. As Manager of the Internal Product Analytics team, you will directly manage a team of data analysts, partner closely with the PMs your team serves, and partner with the associated platform engineering teams. You will set the direction for how the team delivers analysis, builds AI-first tooling, and partners across functions. This is a role for someone who works well across teams, turning complex data and open questions into clear, trusted answers that PMs and leadership can act on. What You'll Do: Guide and grow the Internal Product Analytics team. Manage, coach, and develop a team of data analysts. Set priorities, hold a high bar for quality, and make sure the team's output is trusted across the Product org. Partner directly with the PM org. Work side by side with the PMs your team serves to frame the questions that matter, shape the analysis, and make sure the answers reach them in a form they can act on. Own the recurring analytics the PM org runs on. Business reviews, feature request analysis, usage and adoption tracking, and pricing analysis. Make this work consistent, repeatable, and fast so PMs get answers when they need them. Build AI-first analytics. Design and ship AI-powered workflows and agents that do the heavy lifting of analysis, from data querying to synthesis to reporting. Set the standard for how the team uses AI so analysis scales without simply adding headcount. Partner across functions. Work with Finance, Data Platform, Engineering, and Revenue teams to align on definitions, source the right data, and turn raw signals into decis

We are looking for a detail-oriented and collaborative Finance Systems Administrator to join the Finance Systems team in India. This is a hands-on, service-delivery role responsible for day-to-day L1 support, user administration, and configuration changes across MongoDB's suite of Finance applications. You will be the first point of contact for end users encountering issues or making requests across NetSuite, Coupa, Concur, Graphite, YayPay, EPM system, and associated Tax & Treasury platforms. You will triage, resolve, or escalate tickets, maintain user access, support month-end activities, and help improve operational processes over time. We are looking to speak to candidates who are based in Gurugram for our hybrid working model. Key Responsibilities L1 Support & Ticket Management Own the L1 support queue for all Finance applications — triage, prioritise, resolve, or escalate tickets per defined SLAs Troubleshoot common functional issues: data entry errors, workflow approvals, report access, login/SSO problems, and configuration mismatches Document known issues and resolutions in a shared knowledge base; contribute to runbooks and FAQs to reduce recurring tickets Communicate timely and clearly with end users on ticket status, expected resolution, and workarounds User Administration & Access Management Provision, modify, and deprovision user accounts across NetSuite, Coupa, Concur, Graphite, YayPay, and Anaplan/Pigment - set up SCIM where applicable Assign roles, permission sets, and approval hierarchies in line with access control policies and least-privilege principles Run regular access certification reviews and clean up inactive accounts Coordinate with HR and IT during onboarding/offboarding events to ensure timely access changes Configuration & Admin Tasks Perform low-complexity system configuration: adding/updating cost centres, departments, approval workflows, expense categories, supplier records, and similar admin objects Support Finance te

The Site Reliability Engineering team designs and builds the global infrastructure on which we deploy our services, focusing on the above mentioned flagship MongoDB Atlas platform. As our customers grow and globalize, our services must satisfy demands for low-latency requests around the globe, and comply with various data sovereignty requirements. The SRE Team’s mission is to build this increasingly complex infrastructure, while continually lowering the operational burden associated with it, and increasing our internal visibility into the health of the system. We are strong believers in infrastructure-as-code and self-healing systems. The SRE Team is fully integrated with all the other engineering teams, and the teams work closely together with a soft and traversable boundary between their areas of responsibility. We are looking to speak to candidates who are based in New York City for our hybrid working model. Responsibilities Design and build the infrastructure for a global cloud service that comprises hundreds of thousands of MongoDB clusters, processes a billion metrics per day, and replicates tens of billions of database writes to our backup service Design, implement, and troubleshoot the automation and monitoring of services that seamlessly spans the globe - including several cloud providers Become an expert in infrastructure performance, helping us optimize from the application level all the way through the firmware Build for resilience. Our goal is that nobody’s pager goes off, ever. Are we there yet? No. Are we really close? Very. While we work on that - participate in a weekly on-call rotation Improve our infrastructure capabilities, optimizing for cost, simplicity, and maintainability Requirements 3+ years of experience running a mission critical service at scale in a Linux environment Firm grasp of at least one modern programming language, beyond basic scripting Familiarity with web and network protocols and standards (HTTP, TLS, DNS, etc) Bachelor’s deg

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. We are seeking an experienced Staff Software Engineer to join Okta's Universal Directory Platform team within the Product Platform Pillar. The team serves as the intelligent core of the enterprise security fabric, maintaining the source of truth for all identity assets and their associated relationships. Opportunity This position will be involved into development, design, and maintenance of our highly performant, reliable, and scalable platform, which is critical for managing user lifecycles, groups, and memberships. The successful candidate will possess experience in building and deploying scalable, reliable software and infrastructure within a cloud environment. What you’ll be doing Understand our identity management group codebase and development process: Jira, Technical Designs, Code Review, Testing, and Deployment. Develop and implement frameworks and toolings for our Universal Directory Service platform. Design and implement high-performance distributed scalable and fault-tolerant software components. Quickly deliver high-quality bug fixes and handle customer-reported issues. Conduct quality code reviews and automated testings. Partner with our Product Development, QA, and Site Reliability Engineering teams for scoping the development and deployment work. What you’ll bring to the role The ideal candidate is someone who is experienced building software systems to manage and deploy reliable and performant infrastructure and prod

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. The Safety and Customer Care (SCC) team at Lyft manages over 1.7 million monthly human and AI interactions and serves as Lyft's primary direct touchpoint with riders and drivers. We handle critical infrastructure that powers both human associates and AI agents to make riders and drivers feel safe and comfortable while riding or driving with Lyft, transforming every support interaction into a moment of genuine connection. Agentic AI is at the center of how we scale that mission. We fine-tune and align open-source models, build AI-powered support agents, and develop end-to-end AI agents for safety case management, systems that reason over complex, high-stakes cases and drive them to resolution. SCC brings together ML, data, backend, and product engineers alongside data scientists and operations partners to transform these systems. As a Machine Learning Engineer on the SCC team, you will fine-tune and align models and build AI Agents that power how riders and drivers get help. Your work spans the full loop: post-training open-source models for our domain, composing them into multi-step agents, and building the evaluation that proves they are safe to ship in a customer-facing, safety-critical setting. Post-train and adapt open-source LLMs for SCC use cases using SFT, LoRA, and preference-tuning methods (RLHF, RLAIF, RLVR). Design and build AI-powered support agents and end-to-end agents for safety case management using LangGraph or equivalent agentic frameworks. Own the evaluation data flywheel, offline and online, that defines what "good" looks like and build benchmarks for the team to hill-climb. Turn interaction feedback into training data and learning signals, closing the data flywheel that continuously improves the models. Responsibilities: Conduct literature review and build post-training fra

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Flexdrive is a subsidiary of Lyft that works together with Lyft teams to realize our shared mission. Flexdrive, a subsidiary of Lyft that offers vehicle access to Lyft drivers through a flexible car rental subscription program, is seeking a passionate, organized, and bold Operations Lead to join our team in Philadelphia. In this role, you will report to the Regional Operations Manager and be responsible for leading a team and overseeing a fleet of vehicles. Your duties will include leading and developing a team of Operations Associates, driving operational excellence, fostering a value-based culture of continuous improvement through deep data analysis and problem-solving to identify performance gaps and delivering on company’s key performance metrics. . At one of our Flexdrive facilities, you and your team will support the community through Lyft's Express Drive program, a key driver of our growth. Lyft drivers are the backbone of our customer-obsessed organization, and your role will be to ensure that every interaction with them has a purpose to serve and connect. Responsibilities: Accountable for your market’s business health and strives to deliver on Flexdrive OKRs by frequently analyzing market level data for performance gaps, managing fleet operational costs and process improvement opportunities Lead the team responsible for assisting Lyft drivers through the end-to-end rental process of the Express Drive Program; ensuring all team members are up-to-date on all trainings and processes Foster team member growth and development by conducting regular 1:1 meetings and professional development discussions, while coaching through timely and constructive feedback Drive high utilization metrics by managing the vehicle supply lifecycle across your market, from in-fleeting to maintenance to decommiss

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Flexdrive is a subsidiary of Lyft that works together with Lyft teams to realize our shared mission. Flexdrive, a subsidiary of Lyft that offers vehicle access to Lyft drivers through a flexible car rental subscription program, is seeking a passionate, organized, and bold Operations Lead to join our team in Baltimore. In this role, you will report to the Regional Operations Manager and be responsible for leading a team and overseeing a fleet of vehicles. Your duties will include leading and developing a team of Operations Associates, driving operational excellence, fostering a value-based culture of continuous improvement through deep data analysis and problem-solving to identify performance gaps and delivering on company’s key performance metrics. . At one of our Flexdrive facilities, you and your team will support the community through Lyft's Express Drive program, a key driver of our growth. Lyft drivers are the backbone of our customer-obsessed organization, and your role will be to ensure that every interaction with them has a purpose to serve and connect. Responsibilities: Accountable for your market’s business health and strives to deliver on Flexdrive OKRs by frequently analyzing market level data for performance gaps, managing fleet operational costs and process improvement opportunities Lead the team responsible for assisting Lyft drivers through the end-to-end rental process of the Express Drive Program; ensuring all team members are up-to-date on all trainings and processes Foster team member growth and development by conducting regular 1:1 meetings and professional development discussions, while coaching through timely and constructive feedback Drive high utilization metrics by managing the vehicle supply lifecycle across your market, from in-fleeting to maintenance to decommission

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. The Safety and Customer Care (SCC) team at Lyft manages over 1.7 million monthly human and AI interactions and serves as Lyft's primary direct touchpoint with riders and drivers. We handle critical infrastructure that powers both human associates and AI agents to make riders and drivers feel safe and comfortable while riding or driving with Lyft, transforming every support interaction into a moment of genuine connection. As a Data Scientist working on Causal Inference in SCC, you'll partner with a strong team of engineers, product managers, designers, and operations leaders to deliver a personalized and exceptional experience for Lyft customers, using rigorous causal inference to guide the highest-stakes decisions we make. We're looking for a motivated and talented Data Scientist with deep causal inference expertise to join the SCC Data Science team. You'll partner closely with the area's tech lead on high-impact work spanning AI-powered support products, differentiated service, and operations optimization. The ideal candidate brings sharp applied inference intuition, a bias toward impact, and the ability to cut through ambiguity in complex problem spaces. You'll work on projects like: Design rigorous experiments and quasi-experiments to measure the causal impact of SCC product and AI-agent launches, and drive data-informed launch decisions. Build causal ML models to optimize concession budget allocation, targeting the right support credit, to the right rider or driver, at the right moment to maximize trust and business impact. Quantify the long-term effects of support-experience changes on rider and driver retention, and uncover heterogeneous treatment effects across our community. Deliver strategic insights on quality–cost tradeoffs, empowering leadership to balance service quality, coverage,

About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies - from the world’s largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their in revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. What you’ll do You will act in a player-coach capacity and will be accountable for supporting associates in delivering against target set goals and mentoring in subject matter expertise. You will manage a small team of TechOps Payments Analysts. Responsibilities Champion metrics-driven analysis to continuously assess and optimize team performance, with a strong focus on automation Leverage automation to streamline data reporting and deliver timely, data-driven insights to management/key stakeholders Utilize data as a core tool for guiding people management strategies and optimizing team productivity Play a key role in weekly business reviews (WBR), using data to lead discussions support decision-making Manage capacity and scheduling, dividing and assigning work between team members. Lead independent discussions with TechOps, Engineering and XFN Partners to unblock complex reconciliation issues. Ensure your team has strong data analysis and Technical skills needed to be successful in their role. Setting clear goals and expectations for individual and team performance. Foster a culture of continuous improvement to refine team processes and procedures. Support recruitment and hiring initiatives. Coach and mentor individuals to meet career via structured career development conversations. Provide continuous performance feedback and facilitate periodic formal performance reviews. Drive and own initiatives that make the

About the Team OpenAI’s Hardware organization develops AI-native silicon and system-level solutions for the unique demands of advanced AI workloads. Building on efforts like Jalapeño, the team is developing future generations of AI-native silicon and tightly integrated systems to power the next generation of frontier models. By co-designing chips, systems, tools, and methodologies, the team helps deliver faster, more efficient, and production-ready hardware for OpenAI’s supercomputing platform. About the Role We are seeking a Technical Lead to lead deployment and operations for OpenAI’s Silicon & Systems team. This person will become the Directly-Responsible Individual responsible for bringing OpenAI’s custom silicon and associated systems into data center environments, ensuring successful deployment, bring-up, validation, operational readiness, and ongoing reliability at scale. This role sits at the intersection of silicon, systems, infrastructure, data center operations, and software. You will lead a team focused on taking new hardware platforms from lab validation into production data center deployment. You will be responsible for building the operational processes, technical workflows, tooling, and cross-functional alignment required to deploy and operate custom AI hardware reliably in OpenAI’s supercomputing infrastructure. The ideal candidate is both a strong leader and a deeply technical operator. You should be comfortable staying close to the technical details of hardware bring-up, fleet deployment, debugging, system validation, data center integration, and production operations. This role requires strong execution, excellent cross-functional judgment, and the ability to drive clarity in ambiguous, fast-moving environments. In this role, you will: Lead a team responsible for deployment and operations of OpenAI’s custom silicon and systems in data center environments Own the path from hardware bring-up and validation through production deployment, operati