Lead Project Planning Control Jobs

Head- Contract Administration is responsible for executing plans, negotiating contract terms, and ensuring compliance with contractual obligations. The Lead oversees the preparation, review, and modification of contracts, and works closely with project managers and other stakeholders to ensure that contracts are aligned with project goals and timelines. Additionally, the Lead provides guidance and support to team members to ensure efficient contract management. Source: Adani Group | Job ID: 57024

ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F , led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products. THE ROLE As an Engineering Manager (Player & Coach), you will lead and mentor a team of Forward Deployed Engineers focused on building, scaling, and optimizing LLM inference workloads for Baseten customers. Applying both hands-on technical ownership and managerial leadership, you will guide your team through the processes of designing, deploying, and managing high performance, low latency AI applications on Baseten’s platform. FDE at Baseten is not a sales function – we are a mix of engineering, product, and customer architects who contribute to the core Baseten codebase, drive large portions of our feature roadmap, and execute on complicated customer engagements. You will also partner with product, infrastructure, and other customer engineering teams to ensure that large language models (LLMs) and other generative AI systems deliver best-in-class performance, reliability, and cost efficiency in production environments. EXAMPLE INITIATIVES Take a look at these blog posts written by members of our Forward Deployed Engineering team: Forward Deployed Engineering on the frontier of AI The fastest, most accurate Whisper transcription Deploy production-ready model servers from Docker images Deploy custom ComfyUI workflows as APIs RESPONSIBILITIES Leadership & Team Management Lead, mentor, and grow a team of Forward Deployed Engineers, providing guidance on technical direction, project execution, and professional deve

About Anyscale: At Anyscale , we're on a mission to democratize distributed computing and make it accessible to software developers of all skill levels. We’re commercializing Ray , a popular open-source project that's creating an ecosystem of libraries for scalable machine learning. Companies like OpenAI , Uber , Spotify , Instacart , Cruise , and many more, have Ray in their tech stacks to accelerate the progress of AI applications out into the real world. With Anyscale, we’re building the best place to run Ray, so that any developer or data scientist can scale an ML application from their laptop to the cluster without needing to be a distributed systems expert. Proud to be backed by Andreessen Horowitz, NEA, and Addition with $250+ million raised to date. About the Role Anyscale is seeking a Staff Software Engineer to lead the technical vision for our Infrastructure team. As a Staff Engineer, you will be responsible for the architectural evolution of our control plane and data plane, ensuring that our "infinite laptop" vision scales to meet the most demanding distributed AI workloads in the world. You will act as a force multiplier, setting the standards for Kubernetes-based cloud-native infrastructure while mentoring engineers and driving cross-functional alignment across the Ray open-source community and our proprietary product teams. Key Responsibilities Architectural Leadership: Define and drive the multi-year technical roadmap for services that orchestrate Ray clusters across diverse cloud and on-premises environments. Systemic Optimization: Lead the design and optimization of high-performance control plane components specifically tailored for large-scale, heterogeneous AI/ML workloads. Platform Reliability: Establish the organization-wide standards for the reliability, scalability, and observability of Anyscale-managed infrastructure. Strategic Integration: Direct the long-term strategy for accelerator integration (GPUs, TPUs) and container management to ens

We're building AI Teammates: agents that work like actual users in Asana and integrated apps. They triage bugs, respond to requests, draft project briefs, conduct research, and handle complex knowledge work across your team's workflows. Unlike chatbots, Teammates are shared team resources that build memory and context across all executions. They get smarter as you and your colleagues work with them. Currently in beta with Fortune 500 customers, AI Teammates represents Asana's shift from tracking work to getting work done. We're looking for an Engineering Manager to lead the Agent Orchestration team — the team building the connections to other systems that allow Asana AI to serve the highest-value workloads. This means building the integration capabilities, agent skills, and vertical use cases that make AI Teammates extraordinarily useful across enterprise tools and workflows. You'll manage a senior team of six engineers (ICs up to L6) working at the intersection of systems integration and emerging AI capabilities to architect the foundation that lets AI agents operate seamlessly across customer environments while meeting enterprise requirements for reliability and compliance. This is a rare opportunity to be at the forefront of Agentic AI. You'll work directly with model partners, lead the core team shaping how enterprises collaborate with AI agents across their entire tool ecosystem, and drive the technical direction for one of the most impactful applied AI challenges in the industry. You'll also flex into org-level engineering leadership across the broader Asana AI group, contributing beyond your direct team. About Asana AI Asana AI is the company's number one priority. We're building the future of human/AI collaboration — going beyond chatbots to integrate AI into everyday workflows for some of the biggest companies on the planet. Asana's AI Teammates deliver a secure, multi-player, enterprise-grade agentic experience. They're transforming Asana from a place wher

Manager I, Engineering - Onboarding Growth This Engineering Manager will lead the Onboarding team within the Shared Capabilities organization, setting product direction, and coaching and developing team members. They will staff and drive projects that drive new users to adopt Datadog in their organizations. From the first time a new user signs up for a Datadog trial, this team is responsible for making sure they have a world class setup and onboarding experience, and can realize the full value of Datadog in their organization. Onboarding owns the “front door” of Datadog, the very first experience new users and prospective customers encounter. This work is extremely important to company success - improving our onboarding process directly impacts new users ability to find value with Datadog quickly. This role also involves close partnerships with other product teams to deeply understand customer needs and deliver compelling first-time user experiences At Datadog, we place value in our office culture - the relationships that it builds, the creativity it brings to the table, and the collaboration of being together. We operate as a hybrid workplace to ensure our employees can create a work-life harmony that best fits them. What You’ll Do: Work with Product Management and Design to plan and staff projects for the Onboarding Growth team Coach and develop engineers at various levels Ensure strong cross-team communication and design best practices around project management, code review, architecture patterns, and more Build UX features to streamline the onboarding and trial experience through rapid experimentation Build out data platforms and use that data to personalize the onboarding experience for each user Work directly with product teams to ensure each product has a best in class new user experience Create AI-assisted setup options to make sure initial setup “just works” out of the box Champion the use of analytics data to analyze user behaviour and apply those insights

As an Enterprise Sales Engineer, you'll partner with Sales to help customers understand the value of Datadog and how it solves their most important technical and business challenges. You'll lead technical evaluations, deliver compelling demos, and guide customers through the journey from discovery to successful adoption. You'll act as a trusted advisor, bridging business goals with technical solutions, and play a key role in winning new business and expanding existing accounts. What You’ll Do: Own the sales process in partnership with Account Executives by leading and shaping the technical strategy across opportunities from PG to Closed Won Lead customer discovery to uncover technical challenges, business goals, and success criteria, then translate those needs into tailored Datadog solutions Deliver engaging product demos, technical presentations, and workshops that connect platform capabilities to customer outcomes Project manage technical evaluations (POVs) end-to-end: scoping use cases and requirements, defining success criteria, building a project plan with clear timelines, and holding all participants accountable to the process Identify and cultivate technical champions within customer accounts, empowering them to advocate for Datadog adoption and drive consensus internally Participat e actively in structured product and engineering field feedback sessions, serving as the technical voice of the customer to help shape product direction Maintain operational excellence by ensuring activity, deal progress, and customer interactions are accurately documented and up to date in related systems Collaborate cross-functionally with Product, Support, and GTM teams to address customer needs and resolve technical blockers Who You Are: 5+ years of experience in Sales Engineering, Solutions Engineering, or a technical customer-facing role within an enterprise environment Skilled at navigating multi-stakeholder environments and adapting communication style t

As an Enterprise Sales Engineer, you'll partner with Sales to help customers understand the value of Datadog and how it solves their most important technical and business challenges. You'll lead technical evaluations, deliver compelling demos, and guide customers through the journey from discovery to successful adoption. You'll act as a trusted advisor, bridging business goals with technical solutions, and play a key role in winning new business and expanding existing accounts. What You’ll Do: Own the sales process in partnership with Account Executives by leading and shaping the technical strategy across opportunities from PG to Closed Won Lead customer discovery to uncover technical challenges, business goals, and success criteria, then translate those needs into tailored Datadog solutions Deliver engaging product demos, technical presentations, and workshops that connect platform capabilities to customer outcomes Project manage technical evaluations (POVs) end-to-end: scoping use cases and requirements, defining success criteria, building a project plan with clear timelines, and holding all participants accountable to the process Identify and cultivate technical champions within customer accounts, empowering them to advocate for Datadog adoption and drive consensus internally Participat e actively in structured product and engineering field feedback sessions, serving as the technical voice of the customer to help shape product direction Maintain operational excellence by ensuring activity, deal progress, and customer interactions are accurately documented and up to date in related systems Collaborate cross-functionally with Product, Support, and GTM teams to address customer needs and resolve technical blockers Who You Are: 5+ years of experience in Sales Engineering, Solutions Engineering, or a technical customer-facing role within an enterprise environment Skilled at navigating multi-stakeholder environments and adapting communication style t

As an Enterprise Sales Engineer, you'll partner with Sales to help customers understand the value of Datadog and how it solves their most important technical and business challenges. You'll lead technical evaluations, deliver compelling demos, and guide customers through the journey from discovery to successful adoption. You'll act as a trusted advisor, bridging business goals with technical solutions, and play a key role in winning new business and expanding existing accounts. What You’ll Do: Own the sales process in partnership with Account Executives by leading and shaping the technical strategy across opportunities from PG to Closed Won Lead customer discovery to uncover technical challenges, business goals, and success criteria, then translate those needs into tailored Datadog solutions Deliver engaging product demos, technical presentations, and workshops that connect platform capabilities to customer outcomes Project manage technical evaluations (POVs) end-to-end: scoping use cases and requirements, defining success criteria, building a project plan with clear timelines, and holding all participants accountable to the process Identify and cultivate technical champions within customer accounts, empowering them to advocate for Datadog adoption and drive consensus internally Participat e actively in structured product and engineering field feedback sessions, serving as the technical voice of the customer to help shape product direction Maintain operational excellence by ensuring activity, deal progress, and customer interactions are accurately documented and up to date in related systems Collaborate cross-functionally with Product, Support, and GTM teams to address customer needs and resolve technical blockers Who You Are: 5+ years of experience in Sales Engineering, Solutions Engineering, or a technical customer-facing role within an enterprise environment Skilled at navigating multi-stakeholder environments and adapting communication style t

The Documentation team creates engaging and informative technical content, particularly our public product documentation: Datadog Docs . This is an opportunity for a Documentation Manager to help us deliver high quality technical documentation and lead one of our growing documentation teams. Our team is hands-on with the technologies that Datadog monitors, and collaborates with technical and product teams to create technical documentation for our APIs, SDKs, developer and security tools, and community developed integrations — thousands of pages of content! This role is remote in North America. What You’ll Do: Manage 3-5 technical writer direct reports, overseeing their day-to-day, helping them make and manage effective content project plans, formally supporting their growth and development, and fostering an environment that encourages positive engagement and performance. Partner with our Product and Engineering teams to create and maintain public documentation for users, developers, and SREs, helping them succeed with Datadog products, features, SDKs, APIs, and developer tools. Experiment with the product, dig into source code, and interview subject matter experts to research technical details for documentation. Collaborate with our contributor community and greater Documentation team to develop and improve documentation standards and processes. Who You Are: You have 5-10 years experience researching and developing documentation for technical topics, like databases, APIs, cloud infrastructure, and performance and security monitoring. You have 2-5 years experience managing a small team of technical writers, coaching their performance, guiding their career journey, and breaking down complex projects into achievable plans. You have publicly available technical writing samples. You are comfortable reading at least two programming languages (e.g. Ruby, Python, Go, bash). You have written or managed documentation as code, and are familiar with modern infrastructure such a

Job Summary This role reports to the Senior Manager, Global Real Estate Transactions, and sits within the Global Real Estate team responsible for MongoDB's portfolio of 60+ office and flex locations worldwide. The team includes Transaction Management and Project Management functions, working closely with Legal, Procurement, FP&A, and Workplace/IT partners. Lead all aspects of the real estate transactional and operational process within the India / Asia Pac region including but not limited to; the development of real estate strategy, defining & optimizing space requirements, site selection, negotiations, improvements and property management. We are looking to speak to candidates who are based in Gurugram and Bengaluru for our hybrid working model. Requirements for the Role Geographic coverage: focus on Asia Pacific / India Region with transaction support to MongoDB Real Estate (RE) team on global Flex office transactions 5+ years of Corporate Real Estate transaction/portfolio management experience with MNC Experience influencing and driving results through external partners including leading cross-functional teams across multiple projects. Experience in financial analysis and modelling Experience applying AI tools to real estate portfolio management and reporting (e.g. AI-assisted lease abstraction, portfolio analytics, forecasting, or reporting/dashboard automation) strongly preferred Fluency in English required, strong written and verbal communication skills Analytical in approach. Process and detail-oriented Strong customer service and interpersonal skills Ability to lead and drive change and operate across the region Demonstrated ability to manage and prioritize a heavy workload with changing requirements. Ability to engage with and influence senior stakeholders and local business leaders Solid organizational skills Responsibilities: Execute on Asia Pacific / India flex real estate plans to deliver on key RE portfolio metrics Support Global Transact

Become a part of our caring community We are looking for a highly motivated Senior Technology Leadership professional to join our IT Operations team. You will support the Lead of the Application Operations Center and Enterprise Post Production Validation teams, with a focus on process automation, innovation, and continuous improvement. You will work with both onshore and offshore resources, ensuring in daily tasks, enhancing application support, and driving improvements in monitoring and validation processes. Main Responsibilities: Collaborate with the Lead to provide operational and strategic support for Application Operations Center and Post Production Validation teams. Identify, evaluate, and implement automation opportunities to increase efficiency and reduce manual workload. Drive process innovation by recommending and deploying advanced tools and methodologies for application operations and validation activities. Analyze existing workflows and develop documentation for standard operating procedures and best practices. Oversee daily application support and monitoring activities to ensure system stability, performance, and reliability. Partner with onshore and offshore teams to coordinate task execution and promote consistent adoption of new processes and technologies. Develop and maintain dashboards and reports to track key performance indicators and present findings to leadership. Ensure automation and process improvements comply with organizational standards and regulatory requirements. Facilitate knowledge sharing, training sessions, and change management activities to support team development and successful project implementation. Engage with stakeholders to gather requirements, understand challenges, and communicate progress on automation initiatives. Ability to create

As a Software Solution Architect, NVIS at NVIDIA, you will lead the transformation of AI infrastructure. Our NVIS team focuses on developing the next generation of NVIS Central, an agentic software platform with tools, services, and AI agents that automate, simplify, and speed up the work of our delivery organization. This role offers an outstanding chance to create and build LLM-powered agents that improve execution visibility, cut down manual tasks, and standardize workflows. These efforts allow NVIS to grow quickly and with high quality. Join us to bring up, validate, optimize, and upgrade large-scale AI Factory infrastructure for some of the world’s most advanced accelerated computing environments! What you'll be doing: Compose, build, and productionize agentic AI solutions, tools, and applications for the NVIS delivery organization. Develop LLM-based agents, skills, tool-calling workflows, orchestration logic, backend services, APIs, data pipelines, and automation features as part of NVIS Central. Translate field, delivery, operations, and product needs into clear technical builds, agent workflows, and working software. Develop agents that can reason across project data, knowledge bases, operational systems, logs, reports, and delivery workflows. Build workflows that help NVIS teams identify risks, summarize project status, automate repetitive tasks, improve readiness visibility, and simplify handoffs. Work with timely engineering, retrieval-augmented generation, context management, agent memory, function calling, evaluations, and guardrails to build reliable AI systems. Integrate LLMs and agents with internal systems, project data sources, knowledge repositories, reporting tools, and operational workflows. Collaborate closely with software developers, architects, product managers, DevOps/SRE, and NVIS field teams to

Microsoft 365 / Power Platform Developer Position Overview We are seeking a Microsoft 365 / Power Platform Developer to design, build, deploy, and support business applications and automation solutions for federal government clients. This role will primarily focus on developing solutions using Power Apps, Power Automate, Power BI, Power Pages, Dataverse, SharePoint Online, and related Microsoft 365 technologies. The developer will work as part of a multidisciplinary delivery team under an M365 Program Manager, Project Manager, or Technical Lead. The ideal candidate is a hands-on developer who can translate business requirements into secure, maintainable, and user-friendly applications. Key Responsibilities Power Platform Development Design, develop, test, deploy, and maintain applications using Microsoft Power Platform. Build Power Apps Canvas and Model-Driven applications and automated workflows using Power Automate. Design and configure data solutions using Dataverse, SharePoint Online, Microsoft Lists, and other approved data sources. Integrate Power Platform solutions with Microsoft 365 services and approved external systems. Troubleshoot and resolve application, workflow, permissions, integration, and performance issues. Develop reusable components, templates, and patterns to improve consistency and delivery efficiency. M365 Development & UI/UX Develop solutions that integrate with SharePoint Online, Teams, OneDrive, Outlook, and other Microsoft 365 services. Work with technical leads and M365 administrators to ensure solutions align with tenant governance, security, and platform standards. Design intuitive, modern, and visually consistent user interfaces for Power Apps and related M365 solutions. Apply practical UI/UX principles related to navigation, layout, information hierarchy, forms, validation, responsiveness, and user feedback. Create wireframes, mockups, or lightweight prototypes when needed to validate designs with stakeholders before d

Job Details: Job Description: The Role and Impact: Join Intel's Module Development Engineering team as a manager, where you will lead a group of talented engineers in crafting innovative solutions for next-generation technology development in wafer processing, assembly/test, and module repair factories. As a key driver of Intel's technological advancement, you will play a pivotal role in ensuring the successful development, transfer, and implementation of cutting-edge technologies that enable Intel's leadership in power performance, structural efficiency, and cost optimization. With a focus on driving results and fostering collaboration across multiple organizational boundaries, this role offers an opportunity to make a significant impact on Intel's global manufacturing capabilities and future technological roadmap. Key Responsibilities: - Lead a team of module development engineers to develop, implement, and transfer advanced technology solutions. - Define and oversee technology roadmaps for the module, ensuring alignment with Intel's strategic goals. - Manage resources, set priorities, and foster collaboration across teams to meet project schedules and maximize operational outcomes. - Partner with integration, device, and yield engineering teams to develop robust process solutions that deliver power performance and area leadership. - Build and maintain partnerships with supplier executive management to nurture unique industry ideas and research innovations. - Coach and mentor engineering teams in pathfinding and technology road mapping for advanced technology development. - Develop long-term strategies for module engineering capabilities to support emerging technological requirements. - Ensure accountability and drive team results by setting clear goals, performance benchmarks,

We are looking for research interns to join our Quantitative Equity team for 4 to 8 months starting in January or May 2027. We are a top-performing quant fund that manages over $111 billion in financial assets, with a track record spanning more than two decades. As a privately owned firm, we take a long-term perspective, investing in lasting business success and the long-term careers of our people. What You Will Do Investing presents a rich set of research problems that you will explore in this role. Quantitative Researchers lead the development of our investment models and strategies. As an intern, you will work on a real investment research project that requires thinking deeply about the factors that determine business success and modeling the complex dynamics of capital markets, including how information is created, interpreted and reflected in prices. Y our work will have a direct impact on investment outcomes. You will own your research project from beginning to end, including idea generation, signal construction, backtesting and calibration. There is plenty of opportunity to collaborate with your peers and receive mentorship from senior members of our research team. Our team works with: State-of-the-art techniques, including reinforcement learning, large language models, AI agents and econometric methods Large financial and alternative data Advanced technologies, such as high-performance computing infrastructure and custom research systems What You Bring Exceptional quantitative and technical ability : a strong foundation in mathematics, statistics, computer science, economics, finance or a related discipline An interest in finance: an interest in the domain is essential ; an understanding of capital markets and the drivers of business success is valuable but not required Evidence of exceptional ability and achievement: demonstrated through academic, professional, research, competition, entr