To lead strategic financial planning, performance management, and business partnering initiatives by driving budgeting, forecasting, management reporting, financial analysis, and decision-support across business units. The role is responsible for delivering actionable insights to senior leadership, ensuring robust financial governance, leading transformation and automation initiatives, enhancing reporting excellence, and managing key stakeholder relationships while mentoring team members and contributing to the organization's long-term financial and operational objectives. Source: Adani Group | Job ID: 54247
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Datadog is looking for a visionary Senior Leader of Sales Engineering (SE) to lead and scale a high-performing team of SE Directors in North America across Enterprise, Majors, and Public Sector accounts. This is a strategic leadership role with regional and global impact. You will define the Sales Engineering strategy for North America and act as a regional voice in global discussions with Product Management, Engineering, and Go-To-Market teams—ensuring that customer needs in North America influence Datadog’s global direction. At Datadog, we place value in our office culture - the relationships and collaboration it builds, and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You Will Do Executive Leadership & Organizational Growth Recruit, develop, and lead a team 3rd line SE Directors, fostering a culture of technical excellence, customer-centricity, and continuous growth. Define and drive the technical sales strategy across North America, and globally. Set the vision, priorities, and operating model for Sales Engineering, ensuring alignment with Datadog’s business objectives and local market dynamics. Partner with Sales Leadership to align on revenue targets, go-to-market initiatives, and strategic customer engagement across the region. Represent North America Sales Engineering globally, ensuring regional perspectives and requirements are reflected in Datadog’s product roadmap and GTM planning. Customer Partnership & Advocacy Act as a trusted advisor to C-level and senior technical executives, demonstrating how Datadog solves critical observability, performance, and security challenges, especially given the rapid business adoption of AI. Provide executive support for high-stakes opportunities, offering guidance throughout complex sales cycles. Serve as an executive sponsor for strategic customers across North America. Promote value-based technical s
Position : Senior ServiceNow Developer Exp Level: 7+ years of experience Location: Hyderabad / Visakhapatnam Shift Timings: 2:00PM to 11:00PM IST Skills: #ServiceNow, #Rest & Soap API's, #Javascript Key Responsibilities: Design, develop, and implement complex ServiceNow solutions using Flow Designer, Business Rules, Client Scripts, UI Policies, Script Includes, Integrations, and custom applications. Lead technical design for enhancements across modules such as ITSM, CMDB, Asset or others as required. Develop and maintain #ServiceNow catalog items, workflows, record producers, and custom applications following platform best practices. Integrations Build and support integrations with external systems using REST/SOAP APIs, MID Server, IntegrationHub, web services, and authentication methods like OAuth and SAML. Troubleshoot integration failures and optimize performance. Required Qualifications: 5+ years of hands-on ServiceNow development experience. Strong understanding of JavaScript, AngularJS, Glide API, and general web technologies. Expertise in multiple ServiceNow modules like ITSM, ITOM, HRSD, CSM, SecOps. (ITSM is required; others a plus). Experience with Service Portal, Workspace, and UI Builder. Roll : service Location : Visakhapatnam and Hyderabad Employment Type : Full-Time Experience : 5+ Years Skiils : SAP FI,SAP ABAP Job Summary: Provide support and enhancements for SAP FI and ABAP applications. Analyze and implement simple change requests (e.g., adding/changing a field, field validations, report updates, screen modifications). Perform basic ABAP development, testing, and transport management. Support incident resolution and user queries. Coordinate with onsite teams and business stakeholders. Preferred Skills: SAP FI functional knowledge (GL, AP, AR, Asset Accounting). Basic ABAP development and debugging. Experience with small enhancements and support activities. Knowledge of SAP interfaces/integrations. Preferred: Experience with S
The Land Legal Head will lead and oversee all legal aspects related to land acquisition, land use, and regulatory compliance for Adani’s Projects. This senior leadership role demands a seasoned legal expert with profound knowledge of land laws, regulatory frameworks, and project-specific legalities. The role requires strategic vision and operational execution to manage complex legal challenges while aligning with Adani’s core values of integrity, innovation, and sustainability. The successful candidate will be pivotal in securing timely land clearances, mitigating legal risks, and fostering collaborative stakeholder engagement, thus supporting Adani’s mission of powering progress responsibly and efficiently. Source: Adani Group | Job ID: 56988
The Branch Manager SAFE Act is a senior management professional responsible for providing full leadership and direction to a team of employees, grow sales and client base in coordination with the consumer sales team . The overall objective of this role is to lead a team grow sales, build customer loyalty and recommend the development of business strategies or initiatives and may include the management of activities by external organizations, and the direct management of individuals and sales teams. Responsibilities: Develop a sales plans and drive individual production goals, including building referral network and relationships with internal partners and external contacts Create an environment through activity-based coaching and performance development and implement/execute coaching plan to develop employee’s skill set to achieve personal/branch goals Develop and execute integrated sales, relationship, and credit strategies that are aligned with the Retail Bank's priorities, execute business plan to achieve expected goals in all business categories Support portfolio growth by identifying opportunities to deepen relationships and increase client acquisition and ensure clients receive optimal service and monitor/adhere to operational controls Collaborate with branch partners to successfully achieve goals, build customer relationship and deliver customer service Leverage workforce planning tool to optimize staffing in branches and set expectations for branch staff, fostering an environment in which team members work together to achieve all business goals Integrate segment partners, partner with Assistant Manager and partner with the Division Operational to drive sales and drive outbound sales activities including: representing Citi and building partnerships in the community Conduct daily proof processes to ensure adherence to operational requirements; investigate control
Role Purpose We’re looking for a Staff/Senior Machine Learning Engineer with deep expertise in computer vision and biometrics to lead the design and scaling of face recognition systems in production. You’ll build and train models, and own ML systems end-to-end on AWS. The final job level for this role will be determined following the interview process. What You’ll Do Lead the design and development of computer vision systems for biometrics (face attributes, detection, quality, and recognition) Rigorous fairness analysis and benchmarking of biometric models across various datasets and operating conditions. Architect, train, and optimize models using PyTorch, Tensorflow, and/or JAX Own and evolve end-to-end ML pipelines, from data ingestion to deployment. Design automated pipelines (Airflow) for data ingestion and cleaning. You will be responsible for curating balanced training sets and generating synthetic data to address both quality and diversity gaps. Production Engineering: Own the path to production. Optimize models for low-latency inference (quantization, distillation, TensorRT/ONNX) and manage deployment on AWS. Mentor ML engineers, conduct code/design reviews, and drive technical best practices across the Computer Vision team. What We’re Looking For Experience: 5+ years of industry experience in Machine Learning, with at least 3 years dedicated to Biometrics or Face Analysis. Deep expertise in computer vision and biometrics, especially face recognition. Fairness & Ethics: You understand the sources of algorithmic bias in Computer Vision and have practical experience measuring and mitigating disparate impact. Strong Engineering: Expert proficiency in Python (both machine learning and vision libraries such as Pillow, OpenCV, PyTorch, etc). You write clean, modular, production-ready code. Systems Architecture: Experience designing end-to-end ML pipelines (Data to Train to Deploy) and working with workflow orchestrators like Airflow. Cloud Native: Hands-on ex
We’re looking for an experienced engineering leader to lead and scale Asana’s flagship AI Teammates Pillar within our Core/AI Organization. Reporting directly to the Head of Engineering, AI & AWM, you will oversee an engineering area encompassing four key teams: AI Teammates Platform (AITP), AI Teammates Experience (AITX), AI Chat Experience, and Agent Orchestration. In this role, you will lead engineering managers and senior technical leaders to drive the end-to-end strategy, execution, and architecture that define how humans and AI collaborate in Asana, turning frontier LLM capabilities into trusted, reliable, high-value product workflows for enterprise customers worldwide. This role is based in our San Francisco office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do and the teams with which you partner. If you're interviewing for this role, your recruiter will share more about the in-office requirements. What you’ll achieve Drive Strategy & Execution Across the AI Teammates Pillar: Lead, set direction, and align goals/metrics across four core engineering teams (Platform, Experience, Chat, and Agent Orchestration) to execute on Asana’s flagship AI vision while balancing business, customer, and technical needs. Architect Enterprise-Grade AI Platforms & Systems: Own the end-to-end technical strategy across model rollouts, eval infrastructure, tool orchestration, Model Context Protocol (MCP), and proactivity engines—enabling Asana to operate reliable agentic systems for top-tier enterprise customers. Define Next-Generation Human-AI Collaboration: Lead product and platform engineering teams delivering full-screen and docked chat surfaces, discovery/onboarding flows, in-product explainability, human-in-the-loop workflows, and ROI/governance experiences for admini
Pendo is hiring a Senior Account Executive for our Enterprise Sales team in Munich, Germany to drive new business across our largest DACH Accounts and Dax 40 prospect accounts. This role is built for high-performing enterprise sellers with a proven track record of closing $500K–$1M+ SaaS deals in start-up or high-growth environments. You’ll lead complex, multi-stakeholder sales cycles, selling cutting-edge Data & Analytics solutions powered by AI—backed by exciting product innovation and momentum at Pendo—while accelerating growth in one of our most strategic segments. Key Responsibilities Win new enterprise logos across Germany within Pendo’s most strategic segment Lead complex, multi-stakeholder sales cycles from first engagement to close Consistently deliver $500K–$1M+ SaaS deals Build trusted relationships with C-level and senior decision-makers Develop and execute clear, strategic account plans Position Pendo’s AI-powered Data & Analytics platform as a critical driver of digital transformation Collaborate cross-functionally to win and expand strategic accounts Maintain accurate forecasting and disciplined pipeline management Experience & Requirements Passion for AI and Technology - you'll be someone who embraces AI in and out of work, and a curiosity for AI and the role it is playing in all that we do Strong track record of closing $500K–$1M+ enterprise SaaS deals across DACH Experience selling into large, complex, matrix organisations Background in Data, Analytics, AI, or enterprise technology solutions Proven success in a start-up or high-growth environment Confident engaging senior stakeholders and executive buyers Structured, strategic, and highly self-driven Fluent German and professional English Pendo Description: Pendo was founded in 2013 by former product managers, who combined their heads and hearts to build something they wanted but never had as product managers -- a simple way to understand and attack what truly drives product succe
We’re looking for an experienced engineering leader to lead and scale Asana’s flagship AI Teammates Pillar within our Core/AI Organization. Reporting directly to the Head of Engineering, AI & AWM, you will oversee an engineering area encompassing four key teams: AI Teammates Platform (AITP), AI Teammates Experience (AITX), AI Chat Experience, and Agent Orchestration. In this role, you will lead engineering managers and senior technical leaders to drive the end-to-end strategy, execution, and architecture that define how humans and AI collaborate in Asana, turning frontier LLM capabilities into trusted, reliable, high-value product workflows for enterprise customers worldwide. This role is based in our San Francisco office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do and the teams with which you partner. If you're interviewing for this role, your recruiter will share more about the in-office requirements. What you’ll achieve Drive Strategy & Execution Across the AI Teammates Pillar: Lead, set direction, and align goals/metrics across four core engineering teams (Platform, Experience, Chat, and Agent Orchestration) to execute on Asana’s flagship AI vision while balancing business, customer, and technical needs. Architect Enterprise-Grade AI Platforms & Systems: Own the end-to-end technical strategy across model rollouts, eval infrastructure, tool orchestration, Model Context Protocol (MCP), and proactivity engines—enabling Asana to operate reliable agentic systems for top-tier enterprise customers. Define Next-Generation Human-AI Collaboration: Lead product and platform engineering teams delivering full-screen and docked chat surfaces, discovery/onboarding flows, in-product explainability, human-in-the-loop workflows, and ROI/governance experiences for admini
You will lead a small, hands-on engineering team building the secure, scalable Core Analytics Data Access Platform that accelerates Datadog’s Applied AI and analytics capabilities. The team owns the Data Access Platform — a unified interface that lets AI and analytics teams discover and self-serve production-ready datasets while abstracting underlying systems and embedding required legal and compliance guardrails. In this role you’ll own technical direction, contribute to design and code, and partner closely with Applied AI, Product Analytics, and internal platform teams to provide reliable datasets and APIs for model training and analysis. This role balances day-to-day engineering leadership with long-term platform planning. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: Lead a Hands-On Engineering Team: Manage, mentor, and grow a small team of 2–4 data engineers (mix of senior and junior) across Paris and NYC, fostering technical excellence and career development. Own Technical Direction and Delivery: Define architecture, engineering priorities, and the team roadmap for the Data Access Platform, driving implementation of scalable, secure data pipelines and platform services. Contribute to Design and Code: Spend substantial time coding, reviewing, and shipping critical platform components to ensure performance, reliability, and operational excellence. Partner with Internal Stakeholders: Work closely with Applied AI, Internal Product Analytics, product managers, and platform teams to define data contracts, APIs, SLAs, observability, and curated analytical datasets. Ensure Data Security, Governance, and Reliability: Implement access controls, lineage, monitoring, and compliance guardrails to support safe model training and repeatable analytics workflows.
MongoDB is seeking a Senior Partner Marketing Manager to build and scale high-impact go-to-market programs with strategic cloud, technology, AI, and ecosystem partners. This role will contribute to the partner marketing strategy and execution across integrated campaigns, launches, events, digital programs, co-marketing motions, marketplace activation, and marketing enablement. Working closely with Partner team, Specialists,, Partner Strategic Operations, Alliances, Field Marketing, Global Demand Center, Product Marketing, Sales Enablement, and Communications teams. Reporting to the Lead, Partner Marketing, the successful candidate will help drive customer adoption through partner attach and generate partner-sourced and partner-influenced pipeline, while creating repeatable programs that scale across regions and partner types. We are looking to speak to candidates who are based in Bengaluru for our hybrid working model. Key Responsibilities Translate partner capabilities, integrations, APIs, and AI solutions into compelling marketing messaging and experiences for developers, architects, IT decision-makers, executives, partner sellers, and marketers Develop customer-outcome-led messaging and campaigns that clearly articulate the better together value of MongoDB plus partner Plan and execute integrated, multi-channel programs leveraging the Global Demand Center and their offerings across direct, organic and paid channels Support cloud marketplace, solution-listing, integration, launch, and post-launch adoption motions where applicable working closely with Cloud Partner Marketing team Create scalable marketing activation assets for partners including campaign-in-a-box kits, co-marketing plays, solution briefs, messaging guides, battlecards, demos, webinars, training, and customer-facing content Build repeatable partner marketing playbooks, content kits, and operating processes that can be localized and scaled across partners and regions Lead partner-facing events,
About the Role We’re seeking an Associate General Counsel to lead commercial legal strategy and execution for OpenAI’s silicon initiatives and the semiconductor ecosystem that supports our AI infrastructure. This is a senior, highly cross-functional role for a lawyer who can advise business and technical leaders across the semiconductor development, manufacturing, and supply lifecycle. The role will partner closely with silicon engineering, infrastructure, strategic sourcing, supply chain, manufacturing, finance, partnerships, IP, policy, regulatory, and trade compliance teams to structure and negotiate strategic arrangements with semiconductor ecosystem partners, technology providers, and critical suppliers. This person will help establish the commercial frameworks needed to protect OpenAI’s technology and support resilient, scalable commercial arrangements. We’re looking for an experienced technology transactions lawyer with meaningful semiconductor industry experience who can translate highly technical and operational issues into practical commercial structures. The ideal candidate combines strong judgment, commercial creativity, and the ability to lead complex, high-value transactions in a fast-moving and complex global ecosystem. This role is based in San Francisco, CA. We use a hybrid work model of 3-days in the office per week and offer relocation assistance to new employees. This role will: Lead commercial legal strategy and risk management for OpenAI’s silicon and related technology initiatives. Advise senior business, engineering, sourcing, and operational stakeholders on strategic relationships, commercial priorities, and complex transactions. Draft, negotiate, and advise on sophisticated development, manufacturing, supply, licensing, services, and strategic partnership agreements. Structure commercial arrangements that support long-term business and operational requirements. Advise on the commercial and operational issues that arise across the developmen
About the Role OpenAI is seeking a senior individual contributor to help shape and execute some of our most complex and high-impact commercial opportunities. As AI becomes increasingly important to how organizations operate, the ability to translate sophisticated products and commercial structures into clear, compelling customer narratives is a strategic advantage. In this role, you will serve as an embedded strategic partner to AMER account teams, with a particular focus on high-value, complex, and first-of-kind deals. You will work directly with sellers and cross-functional partners to lead the overall deal strategy, structuring, value narrative, negotiations, and business cases that bring business terms to contractual closure. You will also translate insights and patterns from individual deals into practical frameworks, tools, and resources that improve the quality and consistency of deal execution across the field. This role partners closely with Sales, Pricing, Deal Desk, Strategy, Revenue Operations, Finance, Product, and Legal to help OpenAI move quickly, strengthen proposal quality, and navigate complex commercial opportunities effectively. This role will report to the Americas Deal Strategy Leader. In this role, you will: Partner directly with AMER account teams on complex, high-value, and strategic opportunities, from initial deal strategy through customer proposal, negotiation, and deal closure. Develop deal strategies that bring together customer priorities, commercial considerations, competitive positioning, and OpenAI’s broader business objectives. Create executive- and CFO-ready proposals, ROI analyses, value narratives, and business cases for highly complex and/or first-of-kind deals. Support critical customer and executive conversations by presenting recommendations, business cases, and the rationale behind proposed commercial approaches. Build and maintain practical ROI frameworks, calculators, proposal templates, and value narratives that account
Role Overview We are looking for a senior Sales Planning & Distribution Strategy leader to drive data-led planning and distribution strategy for a large-scale field sales organisation. The role will focus on network planning, manpower optimisation, territory design, productivity improvement and capability building. Key Responsbilities • Lead Sales Planning and Distribution Strategy for a large field organisation. • Develop manpower and network plans based on business potential, productivity and market requirements. • Design and optimise territories, locations and field-force deployment. • Use business data and analytics to identify productivity gaps and improve sales output. • Develop frameworks for workforce planning, capacity planning and productivity management. • Build and strengthen sales capabilities, processes and planning mechanisms. • Work closely with business, sales and analytics teams to drive data-backed decisions. • Identify opportunities to improve the utilisation of the existing distribution network and merchant relationships across multiple products. • Build scalable planning models that can support future business growth. • Lead and mentor a small team of 1–2 data/analytics resources supporting planning and execution. WHAT WE ARE LOOKING FOR • 10+ years of overall experience, preferably in Sales Strategy, Distribution Strategy, Sales Planning, Network Planning or Sales Transformation. • Experience working with large-scale field sales or distribution teams. • Strong understanding of manpower planning, territory planning and distribution/network optimisation. • Strong analytical and problem-solving skills with the ability to work with business data and translate insights into actionable plans. • Experience designing planning frameworks and processes rather than only executing existing plans. • Strong stakeholder management and communication skills. • Demonstrated experience in capability building and improving sales productivity. • Experience in
We are seeking a Director of Events to lead the planning and delivery of NVIDIA's most significant and high-profile events. You will act as a strategic collaborator throughout the company — partnering with business units, product teams, marketing, communications, and executive leadership. NVIDIA is widely considered to be one of the technology world’s most desirable employers! We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you! What you'll be doing: Own and drive the overall strategy for assigned flagship events — defining goals, structure, and success metrics in partnership with senior leadership. Work across NVIDIA's business units, product teams, marketing, and communications organizations to align events with company priorities and ensure cross-functional agreement and implementation. Function as the chief strategic and operational authority — guiding and managing teams through every workstream stage, from idea development to on-site delivery and subsequent event evaluation. Drive the creative and experiential vision in close partnership with creative, content, and brand teams. Manage large, complex budgets — tracking costs, forecasting, and driving financial accountability across a multi-million dollar event portfolio. Serve as the primary executive point of contact, providing leadership with regular updates, critical issues, and strategic recommendations. Lead all vendor, agency, and venue relationships — holding external partners accountable to the highest standards of quality and delivery. Develop and manage master event timelines, ensuring all workstreams stay on track and interdependencies are clearly mapped. What we need to see: 12+ overall years of ev
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