Data Excellence Manager Jobs

InMobi (Corporate) InMobi Group is a global technology company shaping the future of agentic commerce and advertising. Through its ecosystem of businesses — including InMobi Advertising and flagship consumer platform Glance — InMobi leverages data, machine learning, and generative AI to help brands reach audiences more precisely and consumers discover products more intuitively. Glance, which is pioneering new models of agentic commerce, is owned and operated by Glance InMobi Pte. Ltd., a non-consolidated subsidiary of InMobi Pte. Ltd. InMobi Advertising InMobi Advertising, part of global technology company InMobi, is an agentic advertising platform helping brands and merchants achieve their business outcomes. Through its proprietary intelligence, AI-led solutions, and vast consumer reach — including flagship consumer platform Glance — InMobi Advertising delivers the omnichannel performance defining what's next in advertising and commerce. Glance is owned and operated by Glance InMobi Pte. Ltd., a non-consolidated subsidiary of InMobi Pte. Ltd. To learn more, visit advertising.inmobi.com. Glance Glance is an intelligent shopping agent, redefining the commerce experience. Powered by proprietary agentic intelligence and generative AI, Glance delivers a hyper-personalized consumer experience across mobile and TV — shaping the new era of shopping. Glance is operated by Glance InMobi Pte. Ltd., a non-consolidated subsidiary of global technology leader InMobi, and is backed by Mithril Capital, Google and Jio Platforms. To learn more, visit glance.com. About the Role We are looking for a creative, tech-savvy and ambitious Creative & Communications Intern to join our Talent team for a 3-month internship . This is a hands-on role for someone who enjoys turning ideas into great visuals, videos, stories and experiences . You could be designing a campaign one day, shooting an employee story the next, editing a reel, creating a handbook or experimenting with AI

Zscaler (NASDAQ: ZS) accelerates digital transformation so customers can be more agile, efficient, resilient, and secure. The Zscaler Zero Trust Exchange platform protects thousands of customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location. Distributed across 200+ public data centers globally and thousands of private sites at the edge, the SASE-based Zero Trust Exchange is the world’s largest in-line cloud security platform. We believe the future of work is Human + AI and are building an AI-native enterprise where human potential is amplified by machine intelligence to solve the world’s hardest security challenges. Driven by deep customer obsession, we are committed to the mission, outcome, and to each other. We bring these commitments to life through three core behaviors: ownership and collaboration, trust through outcomes and impact, and a challenge culture with ongoing feedback. Ready to make an impact at the company pioneering security transformation in the AI era? Join us at Zscaler. Role We are looking for a Sales Engineering Manager to join our team. This is a remote role (Based in Paris, France), reporting to the Sales Engineering Director in the Solutions Consulting department. In this role, you will act as a strategic technical leader across the region, driving business performance and improving technical win rates. You will partner closely with Sales leadership to align resources with regional growth strategies while actively coaching and developing a high-performing team of Sales Engineers. What you’ll do (Role Expectations) Own the end-to-end technical sales cycle across the region, ensuring opportunities are qualified, progressed, and executed with appropriate rigor, governance, and adherence to established Sales Engineering processes, including proof-of-value planning, execution, and success measurement through the Team and the Channel Partners. Lead, coach, and develop a high-performing Sales

Zscaler (NASDAQ: ZS) accelerates digital transformation so customers can be more agile, efficient, resilient, and secure. The Zscaler Zero Trust Exchange platform protects thousands of customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location. Distributed across 200+ public data centers globally and thousands of private sites at the edge, the SASE-based Zero Trust Exchange is the world’s largest in-line cloud security platform. We believe the future of work is Human + AI and are building an AI-native enterprise where human potential is amplified by machine intelligence to solve the world’s hardest security challenges. Driven by deep customer obsession, we are committed to the mission, outcome, and to each other. We bring these commitments to life through three core behaviors: ownership and collaboration, trust through outcomes and impact, and a challenge culture with ongoing feedback. Ready to make an impact at the company pioneering security transformation in the AI era? Join us at Zscaler. Role We are looking for a Principal Sales Engineer to join our team. This is a Remote (Milan, Italy) role, reporting to the Sales Engineering Manager in the Solutions Consulting department. In this position, you will set the technical direction for marquee opportunities in Italy and partner with extended teams to drive strategic outcomes for our most significant customers. You will pioneer new offerings, influence the product roadmap, establish cross-portfolio architecture standards, and represent the Solutions Consulting function in key partner and analyst forums. Additionally, you will mentor senior Sales Engineers, assess regional capability gaps, and package field insights into roadmap proposals as part of the EMEA technical advisory function. What you’ll do (Role Expectations) Position Zscaler Value through technical expertise and sales experience to win the mindshare of customer technical teams Drive enablement and so

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What Is The Role Elastic, the Data Analytics, AI, Search, Observability & Security company; is seeking a dynamic Enterprise Account Executive for our Telecoms accounts. To excel as an Account Executive at Elastic, you need a blend of high-level technical curiosity and the gravitas of a value-based seller. Because Elastic isn't just a "product" but a versatile search, observability, and security platform, the role requires moving beyond simple transactions to solving complex data problems. As a dynamic Enterprise Account Executive, you will be an integral part of our growth strategy. You will drive net-new revenue and expansion within Enterprise Accounts in an assigned territory. This is an opportunity for those passionate about empowering companies through cutting-edge search technology and analytics, enabling them to unlock the full potential of their data. What You Will Be Doing Drive Adoption: Fuel the adoption of Elastic’s AI-powered search solutions, Observability and Security solutions within (new) Enterprise accounts while deepening engagement with existing ones. Be a Trusted Advisor: Assist users and customers in harnessing the full power of search analytics to transform data into actionable insights. Domain & cloud acumen: Position Elastic as the Search AI platform of choice by speaking fluently about cloud economics, usage-based

Celonis is the trusted platform to industrialize Enterprise AI. At our core is the Celonis Context Model — which combines process data, business knowledge, and intelligence into a living digital twin of the enterprise that AI can actually understand, turning AI's operational blind spots into operational clarity. World's leading companies trust Celonis and its global ecosystem of partners to make their AI agents, people, systems, and processes work together, achieving transformational outcomes. We believe there's a massive opportunity to unlock global productivity and sustainability by giving AI the context to understand how every business process really works. Join our mission to make processes work for people, companies, and the planet. The Team: The Global Lead, GTM Strategy and Planning will work as part of the Revenue Operations leadership team, reporting to the SVP Revenue Operations. This role is the strategic architect of Celonis' annual and multi-year GTM planning processes, coordinating across Sales, Marketing, Value Engineering, Services, Finance, and the broader business to ensure aligned, balanced, and executable go-to-market strategy. This person is responsible for ensuring our GTM investments, resource allocation, and organizational structure are optimized to drive sustainable growth and performance. The Role: This role owns the design and execution of our integrated GTM planning processes. You will lead comprehensive territory planning, segmentation strategy, role definition, and resource allocation exercises that balance growth objectives with sustainable unit economics. You will be the custodian of our GTM ratios and thought leader on how we structure our go-to-market. You will design and maintain the planning systems and frameworks we use to make decisions, while also being comfortable working offline and with custom modeling to stress-test plans and guide strategic decisions. You will coordinate senior stakeholders across the business to build con

Yext (NYSE: YEXT) is the enterprise agentic marketing platform. Built on the world's most comprehensive structured data platform for local businesses, Yext gives brands and their partners the visibility intelligence to win every moment of discovery – across AI and traditional search. Yext's API-first architecture connects structured data to APIs, MCP servers, and generative interfaces, so partners and developers can build purpose-built experiences on the same infrastructure powering Yext's own products. Thousands of brands and digital marketing partners in financial services, healthcare, retail, hospitality, and food rely on Yext to manage, measure, and optimize visibility at scale. For more information, visit yext.com . We are looking for a Customer Success Manager (CSM) who operates as a consultant and strategic advisor in an environment where AI is fundamentally reshaping digital marketing and how brands are discovered. This role goes beyond managing accounts. It requires the analytical depth to drive measurable outcomes and the ability to guide customers through an increasingly fragmented, AI-driven search landscape. You will be expected to use AI as a core part of how you work, leveraging it to analyze data, generate insights, and help customers understand and adapt to how AI is changing visibility, discovery, and engagement. At Yext, our CSMs combine a strong commercial mindset with curiosity, judgment, and the ability to ask the right questions to solve complex problems. We are looking for rapid learners who can translate data and emerging trends into clear strategy, and help our customers navigate and win in a continuously evolving digital ecosystem. What You’ll Do Manage a portfolio of customers with a focus on retention, expansion, and adoption Align Yext capabilities to customer business goals and measurable outcomes Lead consultative conversations with customer stakeholders, including executives Guide customers through changes in digital mark

About PostHog PostHog is your product’s context layer. It ingests and stores your analytics, errors, replays, and business data so you and your agents can query and act on it. We launched out of Y Combinator's W20 cohort . We've since shipped more than a dozen products, including: A suite of analytics and observability tools, including product analytics , replay vision , AI observability , and error tracking PostHog MCP for users and their agents to query and act on their product and business data Data warehouse so users can query product and customer data together using custom SQL insights. We are: Product-led . More than 500K organizations have installed PostHog, mostly driven by word-of-mouth. We have intensely strong product-market fit. Default alive . Revenue is growing incredibly quickly, and we're very efficient. We raise money to push ambition and grow faster, not to keep the lights on. Well-funded. We've raised more than $180m from some of the world's top investors. We're set up for a long, ambitious journey. We're focused on building an awesome product for end users, hiring exceptional teammates, shipping fast, and being as weird as possible . Things we care about Transparency: Everyone can read about our roadmap, how we pay (or even let go of) people, our strategy, and how we work, in our public company handbook . Internally, we share revenue, notes and slides from board meetings, and fundraising plans, so everyone has the context they need to make good decisions. Autonomy: We don’t tell anyone what to do. Everyone chooses what to work on next based on what's going to have the biggest impact on our customers, and what they find interesting and motivating to work on. Engineers lead product teams and make product decisions . Teams are flexible and easy to change when needed. Shipping fast: Why not now? We want to build a lot of products; we can't do that shipping at a normal pace. We've built the company around small teams – autonomous, highly-efficient gro

Senior Product Manager, Privacy Engineering The Opportunity Privacy is changing quickly. People are more aware of their privacy rights and want more control over their data, especially as AI has become part of our everyday work. Regulations are also evolving rapidly across many regions. These changes matter to Adobe as the company expands across consumer, professional, and enterprise markets worldwide. We are looking for a collaborative and innovative Lead Product Manager to guide the strategy and execution of our vision for experiential privacy. In this role, you will help manage privacy risks, identify new opportunities, and build transparent, user-centered solutions that support Adobe’s values and business goals. This is a highly cross-functional role. You will need to think strategically, influence others, and work closely with teams across Adobe, including Creativity & Productivity, Customer Experience Orchestration, Adobe Unified Platform Engineering, Digital Employee Experience, and Legal. To succeed, you are comfortable with change, act with urgency, take ownership, and deliver results while partnering with multiple teams and managing competing priorities. What You'll Do Understand needs around data protection and privacy compliance in our products, services and platforms. Translate customer, business, and legal needs into clear requirements and engage with engineering teams to deliver outstanding solutions users trust with their data. Help build features, capabilities, and tools composed to keep user and company data protected while offering transparency around how our company processes data. Collaborate with experience design teams driving the creation of mockups and review user interface designs to help ensure all privacy controls are implemented in accordance with privacy policies and requirements. Build, document and communi

The Opportunity We're looking for great legal minds to help us build and drive the debate on privacy, marketing and advertising technology, big data, and AI. This is your chance to work for a global brand with an unparalleled culture where privacy really matters. This role will support Adobe’s CX Enterprise product portfolio. What you'll Do Collaborate with Product Legal, Engineering, Product, Security, and Marketing teams to guide the creation and application of Privacy-By-Design strategies for digital marketing products and technologies to manage privacy and security risks while fostering product innovation. Serve as a strategic advisor to business leaders to help make privacy a competitive differentiator for Adobe. Develop, apply, and evaluate privacy impact assessments for Adobe products and technologies, including new AI initiatives. Lead projects to simplify and improve the privacy assessment process. Support Sales Legal and other legal teams on privacy negotiations with customers, partners, and vendors. Provide regular training, develop privacy templates and playbooks, and offer direct support for strategic deals. Identify and lead efforts to simplify privacy negotiations. Be a privacy brand ambassador on enterprise customer calls and in meetings with external collaborators. Be a privacy evangelist inside Adobe to help

Join Adobe Security Engineering and help build the ML and generative AI capabilities that protect Adobe, our products, and our customers. Our team sits where cybersecurity, large-scale data, and AI meet, building models for anomaly detection, threat detection, investigation, and security analytics across some of Adobe's largest datasets. As a Staff Machine Learning Engineer, you'll design, build, and scale production ML systems spanning deep learning, behavioral modeling, embeddings, and agentic AI. You'll write code, train models, run experiments, and help shape the architecture the broader team builds on. You'll also partner closely with data, platform, and security engineers across Adobe. The Challenge Architect end-to-end ML systems for high-volume security data, turning experiments into reusable capabilities. Own the ML lifecycle, from feature engineering through training, deployment, monitoring, and retraining. Build LLM and agentic AI capabilities for security investigation, including retrieval-augmented generation. Design evaluation frameworks that measure model quality and help analysts trust and validate results. Work with data and platform engineers to scale pipelines and resolve system bottlenecks together. Mentor engineers and help guide technical direction through design reviews and hands-on collaboration. What you bring Experience running production ML systems from early experimentation through sustained operation at scale. A strong background training models with PyTorch and transformers, including behavioral modeling and anomaly detection. Comfort with distributed compute like Spark, cloud platforms like AWS, and MLOps tools like MLflow. Experience building with LLMs or generative AI, along with evaluating how they behave in production. Strong Python and SQL skills, and solid software engineering habit

The Opportunity This role provides a rare chance to develop a new function as Adobe moves advertising operations in-house, replacing outside agencies with an AI-based engine. It requires working at the crossroads of strategy, data, and hands-on work, with real sway over global advertising for a Fortune 500 company. Team Mission Lead and develop the team that converts marketing strategy into media plans for Adobe's Global audience segments (Business Professionals, Creative Professionals, and Creators). Adobe is internalizing paid media execution and establishing a new "Channel Planning" function to connect strategy with practical execution. What you'll Do Key Initiatives Build and manage a group of Channel Planners located in key regions (America, EMEA, APAC, Japan). These individuals bridge marketing strategy and the buying desk, guaranteeing global consistency in media planning while adapting to local nuance. Own the "Adobe on Adobe" story, ensuring all regions are bringing to bear Adobe adtech, where it makes sense (GenPem, AEP, RTCDP, etc) Take responsibility for the framework guiding this new team’s interaction with regional marketing leaders. Establish clear ways to handle critical issues, decision rights, and expectations. Schedule formal reviews every 3–6 months to ensure the approach is effective. Collaborate with Adobe's media-buying team in India Drive smarter audience targeting and data-sharing across regions and campaigns, and manage partnerships with ad platforms (to unlock better rates, credits, and support) In partnership with Ops, set standards for how campaigns are tagged, organized, and quality-checked before they become available Scope & Direct Reports Director-level leader directly managing a global team of (6) Channel Planners Americas-based, wit

Position Summary: This role serves as a strategic HR Business Partner, driving business performance through effective people strategies. Partnering with senior leadership, you will leverage data, financial insights, and HR expertise to optimize workforce planning, organizational effectiveness, and employee engagement. Balancing strategic advisory and hands-on execution, you will lead key initiatives across talent management, organizational design, and workforce cost management to deliver impactful business outcomes. Essential Functions and Key Responsibilities: 1. Business Partnership & Strategic Advisory Partner with business and senior leadership to understand priorities, initiatives, financial requirements, and organizational structures, and translate these into people strategies. Analyze personnel costs and various employee data to provide meaningful insights and recommendations to senior leadership. Drive the development and execution of initiatives that contribute to business performance and employee engagement. Collaborate with key stakeholders (e.g., Total Rewards, Finance) to align people’s strategies with business needs. 2. Talent Strategy & Workforce Planning Lead the Talent Strategy function within business units, including programs, policies, and practices that foster a high-performance, employee-oriented culture. Identify opportunities and challenges in hiring, retaining, and developing talent. Provide guidance to managers on talent management and succession planning. 3. Workforce & Cost Management Manage headcount planning and governance in alignment with the Annual Operating Plan. Partner with leadership to optimize workforce allocation based on business strategy. Develop and manage personnel cost forecasts, ensuring that labor expenses are effec

Adobe is seeking a Machine Learning Engineer to join the Adobe Risk Platform (ARP) team. ARP is Adobe's centralized, adaptive system for detecting, preventing, and mitigating fraud and abuse across products and services — protecting surfaces like Commerce, Stock, and Firefly with real-time risk decisions, without degrading the customer experience. In this position, you will help build and develop machine learning models to identify fraudulent activity, detect abusive account behavior, and protect the experience of hundreds of millions of users. You'll work across the model lifecycle from raw behavioral data and feature engineering, to model training, deployment, and monitoring alongside senior engineers on the team. Key Responsibilities Help build and train ML models covering various fraud and abuse areas. These include financial transaction fraud, device-related deception, and account and identity abuse. The goal is a unified, continuously-updated trust and risk score. Contribute to feature engineering across transaction, device, and behavioral event data. Build and maintain feature pipelines on Databricks and Spark, transforming raw transaction and device event data into high-quality model inputs. Help translate prototypes into production ML systems, working with senior engineers on scalability, reliability, and observability. Support MLOps practices: experiment tracking, model versioning, CI/CD, and production monitoring. Collaborate cross-functionally with data science, product, and platform teams to understand fraud and abuse patterns across Adobe's surfaces. Stay ahead of advances in ML/AI, particularly in fraud detection and behavioral modeling, and bring relevant ideas to the team. Minimum Qualifications Bachelor's degree in Computer Science, Machine Learning, Data Science, or related field (or equivalent experience). 3

Adobe is seeking a Machine Learning Engineer to join the Adobe Risk Platform (ARP) team. ARP is Adobe's centralized, adaptive system for detecting, preventing, and mitigating fraud and abuse across products and services — protecting surfaces like Commerce, Stock, and Firefly with real-time risk decisions, without degrading the customer experience. In this position, you will help build and develop machine learning models to identify fraudulent activity, detect abusive account behavior, and protect the experience of hundreds of millions of users. You'll work across the model lifecycle from raw behavioral data and feature engineering, to model training, deployment, and monitoring alongside senior engineers on the team. Key Responsibilities Help build and train ML models covering various fraud and abuse areas. These include financial transaction fraud, device-related deception, and account and identity abuse. The goal is a unified, continuously-updated trust and risk score. Contribute to feature engineering across transaction, device, and behavioral event data. Build and maintain feature pipelines on Databricks and Spark, transforming raw transaction and device event data into high-quality model inputs. Help translate prototypes into production ML systems, working with senior engineers on scalability, reliability, and observability. Support MLOps practices: experiment tracking, model versioning, CI/CD, and production monitoring. Collaborate cross-functionally with data science, product, and platform teams to understand fraud and abuse patterns across Adobe's surfaces. Stay ahead of advances in ML/AI, particularly in fraud detection and behavioral modeling, and bring relevant ideas to the team. Minimum Qualifications Bachelor's degree in Computer Science, Machine Learning, Data Science, or related field (or equivalent experience). 5

Enterprise Architect Position Summary As an Enterprise Architect at Adobe, you will build the future of digital experiences by helping global organizations unlock the full potential of data, AI, and cloud technologies. You will collaborate with executive leaders to develop transformation strategies, compose enterprise architecture roadmaps, and deliver innovative solutions that drive measurable business outcomes. In this highly visible role, you will serve as a trusted advisor, guiding clients through complex digital, data, and AI transformations. You will build scalable, secure, and future-ready architectures that connect customer data, intelligence, content, and activation across Adobe Experience Cloud and modern cloud ecosystems. You will influence strategic decisions, bring collaborators together around a shared vision, and help organizations accelerate innovation while delivering outstanding customer experiences. Success in this role is measured by the value you build for customers. It also depends on the quality and impact of your architectural leadership. Additionally, success includes the adoption of recommended solutions and the positive relationships you develop with executives and delivery teams. The Opportunity Organizations are reimagining how they engage customers in an increasingly digital and technology-driven world. Adobe is at the forefront of this transformation, helping businesses build personalized, connected, and intelligent experiences at scale. As a member of Adobe’s Enterprise Architecture group, you will: Work alongside executives to establish approaches for digital experience, customer data, and AI transformation. Build enterprise architectures that connect content, data, insights, and activation across the customer journey. Assist organizations in embracing cloud-native, API-first, and event-driv