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Lead Java Full Stack Developer Salary India Jobs

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Together AI
📍 San Francisco• $200K – $230K/yr
1mo ago

About The Role Most of what makes Together AI so valuable for customers is invisible from the outside. Optimizing kernels, scheduling, quantization, speculative decoding, and more create an industry-leading platform for inference and post-training at scale. As a technical marketing engineer, you are the conduit between the engineering and research work and the developers who should know about it. You go deep with product, engineering, research, and CX to learn the platform at the level of nuanced technical detail, then decide which details matter to an AI builder and build content that makes them care. This is a creator role. You are a technical storyteller. You'll produce social-native posts, technical blogs, performance benchmarks, demo and explainer videos, and thought leadership, all aimed at one outcome: building Together’s credibility with developers. You'll also own our technical communities on X, YouTube, Discord, Linkedin and the engagement metrics for developer content company-wide, including amplifying the work of engineers and researchers who publish under their own names. Responsibilities Partner with product, engineering, DevRel, research, and CX to learn new capabilities in technical depth, then extract the most meaningful aspects for a developer audience. Create the content strategy based on deep understanding of our company’s differentiation and marries that with an understanding of the content that would resonate. Build technical content across formats: blogs, videos, benchmark reports, podcasts, and short-form posts that drive engagement with developers and preference for Together. Monitor real-time news and announcements related to AI infrastructure and lead timely responses working with product and engineering Own Together's presence in technical communities, primarily X, Discord and Youtube. Track engagement metrics, what lands, what doesn't, and adjust. Drive amplification of engineering and research work across social channels. Be the heartbe

aisalesforce
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Sureify
📍 United States• Remote• $180K – $215K/yr
1mo ago

About the Role We're looking for a Director of GTM Strategy and Operations to be the operational engine behind our go-to-market team. We know our market — now we need to win it faster. This role is about building the infrastructure, automation, and analytics that compress our sales cycle, increase pipeline velocity, and give leadership the visibility to forecast with confidence. You'll sit at the intersection of sales operations, marketing operations, and revenue intelligence — owning the systems, data, and workflows that turn our GTM strategy into repeatable, measurable execution. This is not a "keep the lights on" role. You'll identify gaps, design solutions, and drive adoption across the team. What You'll Do Revenue Operations & Automation Own and evolve the GTM tech stack — Salesforce, HubSpot, and the surrounding ecosystem — ensuring clean data flow, tight integrations, and minimal manual work Design and implement automation across the funnel: lead routing, handoff workflows, enrichment pipelines, follow-up sequences, and deal stage triggers Build and maintain integrations between revenue tools (CRM, MAP, sequencing platforms, data enrichment, BI) so teams operate from a single source of truth Identify and eliminate process friction that slows deals down — from first touch through closed-won Partner with technical resources to architect scalable RevOps infrastructure; you set the strategy and requirements, others execute the builds Sales Operations & Cycle Optimization Operationalize the sales process — MEDDPICC adoption, stage exit criteria, deal inspection frameworks — so reps are consistent and managers have real visibility Build and maintain pipeline management cadences: weekly reviews, deal health scoring, and escalation triggers that surface risk early Analyze sales cycle data to identify where deals stall, drop, or slow — then build fixes into the process and tooling Partner with Sales leadership on territory management, quota modeling, and capac

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Zscaler
📍 United States• Remote• $164K – $205K/yr
1mo ago

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 Sr. Staff Technical Program Manager to join our team. This is a Hybrid (San Jose, 3 days a week) role or Remote role, reporting to the Cloud Operations Manager in the REIS (Reliability Engineering and Infrastructure Services) department. The Technical Program Management team within the Reliability Engineering and Infrastructure Services (REIS) organization is seeking an experienced, highly technical Project / Program Manager to lead complex, internal infrastructure and services initiatives, large-scale Data Center (DC) migrations, and building new cloud environments. Operating within our cross-functional program management organization, this position functions primarily as an internally-facing, hands-on Technical Project Manager (explicitly distinct from Product Management) responsible for orchestrating cross-functional technical projects across various teams for our cloud infrastructure. The

REMOTEaiproject managementPMP
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Accela
📍 Based• Remote• $140K – $160K/yr
1mo ago

ABOUT THE ROLE: You will play an important role in Accela’s continued growth and success by ensuring the successful, on-time delivery of large and complex Professional Services implementations. As an integral member of a cross-functional team, you will identify key priorities, develop clear execution plans, and partner across the organization to deliver successful outcomes. You will leverage established processes, tools, and templates to manage projects effectively while remaining adaptable to evolving customer needs and business priorities. At the heart of this role is a strong focus on customer value—balancing the needs of our customers and Accela while helping customers maximize the business value they receive from our solutions. At Accela, we believe meaningful work and a positive employee experience go hand in hand. We value collaboration, connection, and a healthy work-life balance. If you are motivated by helping governments better serve their communities through more efficient, open, and innovative technology, we’d love to hear from you. SPECIFIC RESPONSIBILITIES: As the owner of the cross-functional Professional Services delivery process you will make significant impacts on the customer and Accela's business in these key areas: Project Management: Manage engagements start-to-finish by applying standard and accepted project management principles; lead project planning and budgeting; mobilize and direct the work streams of cross-functional project teams; champion the Statement of Work; convert scope change into a change order rather than letting the team absorb it silently. Project Health: Drive on-time and on-budget completion of projects; track project progress and variability; maintain a RAID log - risks, assumptions, issues and dependencies - as the working record; work collaboratively with customer and internal teams to identify risks; develop and execute appropriate risk mitigation strategies within a defined escalation path; implement appropriate track

REMOTEproject managementPMP
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OpenAI
📍 United States• Full-time• Remote• $225K – $385K/yr
1mo ago

About the Team OpenAI, in close collaboration with our capital partners, is building the world’s most advanced AI infrastructure ecosystem. The Site Readiness & Development team is responsible for translating OpenAI’s long-term infrastructure needs into executable data center capacity across self-build campuses, leased facilities, and strategic development partnerships. The team works across capacity planning, power, land, real estate, design, construction, finance, and commercial execution to ensure the right infrastructure is available in the right locations and on the timelines required to support OpenAI’s growth. About the Role We are seeking a Development Planner to own portfolio-level planning for future data center shell capacity. This role will translate compute-demand forecasts, power availability, technical requirements, and development schedules into a clear strategy for where, when, and how much shell capacity OpenAI should secure or build. You will evaluate capacity across self-build, lease, colocation, and development-partner pathways; identify future supply gaps; recommend campus and building phasing; and maintain the integrated plan connecting site readiness to construction, commissioning, and operational handoff. This is an individual contributor lead role requiring strong analytical judgment, infrastructure-development fluency, and the ability to drive decisions across teams without relying on formal authority. Key Responsibilities Develop and maintain a multi-year portfolio plan for data center shell capacity across priority geographies. Translate compute forecasts, IT-load requirements, rack-density assumptions, power schedules, cooling requirements, and deployment timelines into site and building requirements. Determine when shell capacity must be secured, designed, constructed, commissioned, and ready for technical fit-out. Integrate land, utility, interconnection, permitting, design, procurement, construction, commissioning, and network-re

REMOTEartificial intelligenceaifinance
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Ramp
📍 New York• Full-time• Remote• $115K – $212.5K/yr
1mo ago

About Ramp Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $200B in annualized spend flows in and out of 70,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. About the Role The Enterprise CSM, Bill Pay & Procurement Specialist, ensures Ramp’s upmarket customers quickly unlock value from our AP Automation and Procurement products. As part of the Customer Activation team, you’ll guide customers through implementation, configure workflows aligned to their internal processes, and help them operationalize Ramp’s tools to drive efficiency and compliance. In this role, you will help shape Ramp’s Enterprise activation motion for Bill Pay & Procurement and influence the strategy that accelerates customer adoption and business impact. What You’ll Do Deliver High-Quality Implementations Lead Enterprise customers through the end-to-end onboarding of Ramp Bill Pay and Procurement, ensuring fast, accurate, and complete deployment Educate customers on Ramp’s AP workflows, procurement best practices, approval logic, vendor management, and policy configuration Drive Customer Adoption & Business Outcomes Prevent delays in implementation by proactively identifying blockers and reinforcing the value of adopting

REMOTEproject managementaccountingfinance
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1mo ago

Who We Are Nuro is a self-driving technology company on a mission to make autonomy accessible to all. Founded in 2016, Nuro is building the world’s most scalable driver, combining cutting-edge AI with automotive-grade hardware. Nuro licenses its core technology, the Nuro Driver™, to support a wide range of applications, from robotaxis and commercial fleets to personally owned vehicles. With technology proven over years of self-driving deployments, Nuro gives the automakers and mobility platforms a clear path to AVs at commercial scale, empowering a safer, richer, and more connected future. About the Role Data is the foundation of autonomous driving. Every improvement in Nuro’s autonomy stack depends on identifying the right real-world examples, transforming them into high-quality training and evaluation datasets, and rigorously validating that each software release is ready for the road. As Director of AI Data Operations, you will lead the organization responsible for this critical development loop—from producing the data that trains and evaluates Nuro’s AI models to identifying autonomy regressions and building confidence in every software release. Your work will directly influence how quickly our models learn, how effectively engineering teams resolve performance gaps, and how safely new capabilities reach the vehicle. Sitting at the center of Nuro’s autonomy organization, your team will work closely with machine learning, autonomy, simulation, onboard systems, data science, and product teams. You will also help Nuro take advantage of emerging technologies, including multimodal foundation models, LLMs to improve how training data is created and how system performance is evaluated. We are looking for a proactive, technically fluent operational leader who can identify gaps across the autonomy development lifecycle and build the teams, systems, and partnerships needed to close them. You will define the long-term vision for software operations while devel

machine learningai
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Taskrabbit
📍 New York• Full-time• $170K – $225K/yr
1mo ago

About Taskrabbit: Taskrabbit is a marketplace platform that conveniently connects people with Taskers to handle everyday home to-do’s, such as furniture assembly, handyman work, moving help, and much more. At Taskrabbit, we want to transform lives one task at a time. As a company we celebrate innovation, inclusion and hard work. Our culture is collaborative, pragmatic, and fast-paced. We’re looking for talented, entrepreneurially minded and data-driven people who also have a passion for helping people do what they love. Together with IKEA, we’re creating more opportunities for people to earn a consistent, meaningful income on their own terms by building lasting relationships with clients in communities around the world. Taskrabbit is a hybrid company with employees distributed across the US and EU and a Built In — Best Places to Work (2022, 2023, 2024, 2025) continually ranked across multiple national and regional categories. Join us at Taskrabbit, where your work will be meaningful, your ideas valued, and your potential unleashed! This role is hybrid requiring 2 days in office at our San Francisco or NYC hub every Tuesday & Wednesday. About the Role Machine Learning is a cornerstone at Taskrabbit, and we're looking for a Staff Machine Learning Engineer to join our team and lead the next phase of our customer retention strategy. This is a critical, full-stack role for an individual who is passionate about the end-to-end lifecycle: from initial research and model development to building the robust systems that power repeat customer engagement and lifetime value growth at scale. Taskrabbit's greatest growth opportunity lies in deepening customer relationships and accelerating repeat purchases. Our most valuable customers are those who return frequently, discover new service categories, and increase their spending over time. There's significant untapped potential in the marketplace: repeat customers spend 3-5x more than one-time users, and category expan

pythonsqldocker
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SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today, SpaceX is actively developing the technologies to make this possible, with the ultimate goal of making life multiplanetary and expanding consciousness to the stars. SpaceXSI is building Super Intelligence to help humanity understand the universe. Our teams are building the full Super Intelligence stack: from our Colossus supercomputers, to Grok models, to our suite of applications, including Grok Bot, Grok Build, Grok Imagine, Grok Voice, and X. We're creating a powerful flywheel where more compute trains better models, better models power more useful products, and what we learn from people using those products shapes what we build next. ABOUT THE ROLE: As the Director of Site Operations, you’ll own node and rack uptime for SpaceXSI's AI supercompute cluster—the most advanced of its kind. This role is the extreme owner of cluster health and customer Service Level Agreements across 5+ sites operating 24/7. You’ll lead a 250+ person organization of site managers, shift supervisors, and technicians, plus the site reliability engineering team that monitors cluster health and drives fault mitigation at scale. We’re looking for a hands-on operations leader who can build a culture of excellence and accountability, partner tightly across the company, and keep uptime exceptional as we grow. RESPONSIBILITIES: Own Cluster Uptime: Serve as extreme owner of node, rack, and cluster health across 5+ sites running 24/7, accountable for customer Service Level Agreements and consistently exceptional uptime on SpaceXSI's supercompute cluster. Lead a Large Operations Organization: Direct a 250+ person team spanning site managers, shift supervisors, and technicians across four 24/7 shifts, building a culture of excellence and accountability at every layer of the org. Drive Node and Rack Remediation: Ensure systematic recovery of fai

pythonmachine learningai
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Box
📍 CA, United States• Full-time• From $86.5K/yr
1mo ago

WHAT IS BOX? Box (NYSE:BOX) is the leader in Intelligent Content Management. Our platform enables organizations to fuel collaboration, manage the entire content lifecycle, secure critical content, and transform business workflows with enterprise AI. We help companies thrive in the new AI-first era of business. Founded in 2005, Box simplifies work for leading global organizations, including JLL, Morgan Stanley, and Nationwide. Box is headquartered in Redwood City, CA, with offices across the United States, Europe, and Asia. By joining Box, you will have the unique opportunity to continue driving our platform forward. Content powers how we work. It’s the billions of files and information flowing across teams, departments, and key business processes every single day: contracts, invoices, employee records, financials, product specs, marketing assets, and more. Our mission is to bring intelligence to the world of content management and empower our customers to completely transform workflows across their organizations. With the combination of AI and enterprise content, the opportunity has never been greater to transform how the world works together and at Box you will be on the front lines of this massive shift. WHY BOX NEEDS YOU Our Customer Success team powers long-term customer value and growth across the West region. We’re hiring Customer Success Managers based in San Francisco or Redwood City to own a book of SMB accounts, drive adoption, and partner with customers to deliver measurable outcomes. You’ll bring operational rigor, a growth mindset, and strong relationship skills to help our customers realize the full value of Box. In this role, you will manage a curated portfolio with flexibility to travel for high-impact onsite moments. You’ll collaborate across teams, lead value-focused demos, and turn insights into action that increases retention and expansion. WHAT YOU’LL DO We are an AI-first company. This means you approach your work with a growth mindset a

aigorust
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New Relic
📍 Atlanta• Full-time• $131K – $164K/yr
1mo ago

We are a global team of innovators and pioneers dedicated to shaping the future of observability. At New Relic, we build an intelligent platform that empowers companies to thrive in an AI-first world by giving them unparalleled insight into their complex systems. As we continue to expand our global footprint, we're looking for passionate people to join our mission. If you're ready to help the world's best companies optimize their digital applications, we invite you to explore a career with us! About the Opportunity New Relic is looking for a Senior Revenue Operations Manager – GTM Business Planning to own the operating system behind how we plan, pay, and scale our Go-To-Market (GTM) organization. Sitting at the intersection of Sales, Finance, and Systems, you will architect the annual GTM plan, design incentive compensation programs, and govern processes across quota, territory, and comp data. What You'll Do GTM Planning & Architecture: Own the annual planning cycle end-to-end, building capacity models and territory frameworks to ensure optimal market coverage and alignment with targets. Incentive Compensation Design: Partner with FP&A to architect and govern financially sound sales incentive plans and compensation policies that motivate seller behavior, drive strategic priorities, and eliminate payout leakage. Quota Management & Strategy: Establish fair quota methodologies, manage ongoing adjustments for transfers/hires, and evaluate rep productivity to handle market shifts. Operations & Governance: Govern monthly sales compensation data within Salesforce and downstream systems to maintain audit-ready accuracy across territories and quotas. Systems & Automation: Own the deployment of annual territories and quotas in Salesforce, drive the roadmap for GTM planning systems, and lead automation initiatives to eliminate manual effort and scale operations. This Role Requires B2B SaaS Experience: 6–8+ years in Revenue/Sales Operations, Sales Comp, FP&a

sqlawsai
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Engineering Manager, Machine Learning Credit Risk Who we are 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 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. About the team The Credit Risk team develops intelligent systems that help Stripe identify high-risk accounts, minimize credit losses, and improve profitability. Credit risk is a complex machine learning problem that requires us to distinguish emerging risk from healthy business activity while giving legitimate users a clear and reliable experience. Our team consists of machine learning engineers who build models and systems used across Stripe’s credit-risk products. We work closely with partners in Product, Data Science, Credit Strategy, Operations, and other engineering teams. Together, we help stakeholders make informed decisions and support sustainable growth wherever credit risk affects Stripe’s products. What you’ll do We’re looking for an engineering manager to lead the Credit Risk team and shape how Stripe uses machine learning to manage credit risk at scale. You’ll set the team’s technical and product direction, connect advances in machine learning to measurable business outcomes, and help engineers deliver reliable systems that balance loss prevention with the user experience. You’ll work across engineering, product, data science, and risk to identify the highest-impact opportunities and turn them into a focused roadmap. You’ll also hire and develop engineers, strengthen the team’s technical practices, and contribute to machine learning and engineering leadership across Stripe. Responsibilities Se

machine learning
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Roblox
📍 San Mateo• $243.3K – $295.3K/yr
1mo ago

Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. Job Description The Geometry Scalability team builds the systems that power both Avatars and Environments across Roblox. Our mission is to enable millions of developers to build large, high-fidelity worlds and multiplayer experiences that still run smoothly on phones and low-end devices. We’re the team that lets Roblox experiences evolve from simple platformers into massively multiplayer, open-world, AAA-quality games. This is a CEO-level priority: how Roblox “ages up” from kids’ games to experiences everyone wants to play, by making higher-fidelity avatars and environments performant at platform scale. You Will: Design and ship 3D engine systems for avatar and environment geometry, including mesh processing, level of detail, transcoding, streaming, runtime loading, and related performance systems. Partner closely with other teams (Rendering, Avatar, Studio) and external developers so that the features you build are directly usable to create amazing experiences. Profile and improve the performance of our game engine across a wide range of devices, with particular attention to mobile. Lead by example: drive projects end-to-end, mentor other engineers, and help set a high bar for technical qu

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Beacon Biosignals
📍 Remote• Remote• $150K – $170K/yr
1mo ago

Beacon Biosignals is transforming precision medicine for the brain, from clinical development to clinical care. For Life Sciences partners, we offer the leading at-home EEG platform for clinical development of novel therapeutics for neurological, psychiatric, and sleep disorders. Our Diagnostics business is building the most comprehensive at-home platform for precision diagnostics, combining EEG and cardiopulmonary signals to deliver reimbursable assessments for sleep and central nervous system disorders. Together, we're changing the way patients are diagnosed and treated for any disorder that affects brain physiology. Beacon Biosignals is seeking a Machine Learning and Algorithm engineer! As part of Beacon's analytics and machine learning domain, you'll work alongside fellow data scientists, neuroscientists, engineers, and clinicians to scope, build, deploy, and maintain the machine and deep learning models that analyze brain and biosignal data for advancing sleep, neurological, and psychiatric therapy development. At Beacon, we've found that cultural and scientific impact is driven most by those who lead by example. As such, we're always seeking out new contributors whose work demonstrates innate curiosity, a bias toward simplicity, an eye for composability, a self-service mindset, and—most of all—a deep empathy toward colleagues, stakeholders, users, and patients. We believe a diverse team builds more robust systems and achieves higher impact. This role is 100% remote from anywhere in the U.S. Beacon's robust asynchronous work practices ensure a first-class remote work experience, but we also have in-person office hubs in Boston, New York City and Paris. What success looks like Participate in and lead the entire biosignal-based algorithm development lifecycle for medical devices including specifications and requirements gathering, data curation and labeling, development, failure-analysis, production, maintenance, and documentation. Select, implement, and de

REMOTEmachine learning
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Who we are 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 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. About the team Stripe’s Financial Systems organization partners with Stripe’s People organization to build trusted, intuitive products for employees, managers, and People professionals. We aim to make routine interactions simple and self-service while ensuring that work requiring judgment or care reaches the right person with the right context. Our products connect data, knowledge, workflows, and systems that span the employee experience. We are building toward a future in which employees and managers can get accurate answers and complete common tasks without navigating fragmented tools, while People teams can spend more time on the work that benefits most from What you’ll do You will own products that make it easier for employees to get accurate guidance and complete common People-related tasks, while helping People team focus their expertise on work that requires judgment and care. You will identify the highest-impact user problems, define the product strategy and roadmap, and lead products from discovery through delivery, adoption, and iteration. This is an opportunity to shape a growing product area at the intersection of employee experience, enterprise systems, data, and applied AI. You will help develop agentic products that connect people to accurate guidance, automate appropriate actions, and help People practitioners focus their expertise where it matters most. Success requires understanding the capabilities and limitations of AI and machine learn

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