Lead Technical Program Manager Knowledge Systems Salary India in United States

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 As a BDR Manager, you will lead a team of BDRs (Outbound Business Development Reps) that focus on generating meetings, opportunities, and pipeline in net-new and customer accounts for our US Enterprise market segment. You will join a team of highly motivated, energetic sales professionals that take pride in landing new customers, uncovering additional use cases within our current install base, generating pipeline, and delivering the Box message to a wide base of accounts across various industries. WHAT YOU'LL DO Hire, train, manage a team of Business Development Representatives Develop and execute career development plans for growth within the Box Sales organization Set and maintain a high-performing culture and morale through coaching and

About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible. At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here . We are building a world-class sales team, enabling our largest and most strategic partners to best utilize Pinterest advertising products to grow their business. Reporting to Nitin Kumar, our US Emerging Sector Lead, you'll be responsible for setting forth the overall sales strategy for the Financial Services sales organization. In this role, you will lead a sales organization that spans multiple levels and functions (Sales Managers, Partner Managers, and Account Managers). In setting forth the overall sales strategy for this industry, you will work closely with your team to drive consistent value for partners, and revenue growth for Pinterest. What you’ll do: Lead the strategy and execution for Pinterest’s Financial Services advertising business in the US. Drive revenue growth across a large, high-visibility business while defending

About the Team OpenAI’s Hardware organization develops silicon and system-level solutions designed for the unique demands of advanced AI workloads. The team is responsible for building the next generation of AI-native silicon while working closely with software and research partners to co-design hardware tightly integrated with AI models. In addition to delivering production-grade silicon for OpenAI’s supercomputing infrastructure, the team also creates custom design tools and methodologies that accelerate innovation and enable hardware optimized specifically for AI. About the Role We are looking for an experienced Mechanical Engineer with 7+ years of experience in design of IT hardware from chip/package to system levels. You’ll work alongside experts in thermal, mechanical, electrical, software, and systems engineering to support the design, analysis, and validation of mechanical and thermal systems that ensure the reliability, efficiency, and longevity of mission-critical hardware. This position requires strong analytical skills, hands-on testing experience, and the ability to work in a fast-paced, cross-disciplinary environment. 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. In this role, you will: Lead mechanical design for AI supercomputer product in the data center application Collaborate with the cross functional team to design and optimize thermal solutions for data center hardware, including chips, power modules, and system-level cooling architectures Collaborate with cross-functional teams to integrate thermal management strategies into hardware design, from concept to mass production Design and validate mechanical systems, including chassis, enclosures, cooling systems, and high-power connections, ensuring alignment with performance and reliability standards. Perform 3D modeling, FEA, tolerance analysis, and prototyping, ensuring manufacturability and a

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

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

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

About Flexport: At Flexport, we believe global trade can move the human race forward. That’s why it’s our mission to make global commerce so easy there will be more of it. We’re shaping the future of a $10T industry with solutions powered by innovative technology and exceptional people. Today, companies of all sizes—from emerging brands to Fortune 500s—use Flexport technology to move more than $19B of merchandise across 112 countries a year. The recent global supply chain crisis has put Flexport center stage as we continue to play a pivotal role in how goods move around the world. We are proud to have the support of the best investors in the game who believe in our mission, solutions and people. Ready to tackle global challenges that impact business, society, and the environment? Come join us. The Opportunity Flexport.org is the humanitarian arm of Flexport. We serve nonprofits, NGOs, and mission-driven organizations that need to move impactful cargo reliably, often into some of the hardest environments to reach. As humanitarian and development needs keep climbing, the supply chain expertise our partners can count on matters more than ever. You'll own some of Flexport.org's most complex and highest-impact partner relationships. Your accounts span multiple shipping modes and trade lanes: ocean, air, trucking, and customs, and demand real supply chain fluency to navigate well. You won't just manage these relationships, you'll shape them. You bring a strategic point of view to every partner engagement, lead business reviews that drive real decisions, and connect the dots across Flexport's full product suite to help partners do more with what they have. You'll operate with full autonomy, hold a high bar on program growth and retention, and become someone junior teammates turn to for guidance. You Will Own end-to-end success for a portfolio of complex, multi-modal Flexport.org partner accounts, including partners with significant program growth potential and

About the Team OpenAI’s mission is to ensure that artificial general intelligence benefits all of humanity. Our Communications team supports that mission by explaining our technology, our values, and how we safely build powerful AI. We help business leaders see what AI can make possible for their organizations, show how customers use OpenAI’s products, and explain how AI is changing the way people work. Analyst Relations sits within Business Communications, helping industry analysts understand our technology, enterprise products, and how organizations put them to work. About the Role We are looking for a Head of Analyst Relations to build OpenAI’s global analyst relations program and help influential analysts understand our enterprise products and the business outcomes they enable. You will set the narrative and engagement strategy, focusing on the firms and categories that shape enterprise buying decisions. This is an exceptionally fast-paced, hands-on role. You will shape long-term positioning, advise senior leaders, and lead our participation in priority evaluations, briefings, and analyst engagement around launches. You will build trusted relationships while bringing Product, Research, Marketing, Sales, and Communications together to make decisions quickly and deliver exceptional work under tight deadlines. This role reports to the Head of Business Communications. This role will be hybrid, in office 3 days a week, ideally in the San Francisco Bay Area; flexible on New York based candidates. In this role, you will: Set the global analyst relations strategy, prioritizing the firms, categories, and questions that shape enterprise technology decisions. Lead OpenAI’s work on priority evaluations, from deciding where to engage through submissions, demos, and customer evidence. Build a coherent enterprise narrative across a fast-moving product portfolio, grounded in what ships, customer outcomes, and responsible deployment. Develop trusted, candid relationships with an

We believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid’s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Seattle, Washington D.C., Raleigh, London, and Amsterdam. The Fraud Data team at Plaid builds the machine learning systems that power Plaid’s fraud detection products, leveraging insights from across Plaid’s network to help identify and stop fraud before it happens. Our team works across the full data science and machine learning lifecycle—from discovering new signals and experimenting with models to deploying and optimizing them in production. We continuously learn from real-world model performance and customer feedback to improve our systems and develop new ways to protect customers and consumers from evolving fraud threats. As a Senior Machine Learning Engineer on Plaid's Fraud Data team, you will develop models that improve fraud detection for our customers. You will identify predictive patterns in Plaid's network data and lead projects from initial experiments through model deployment and ongoing improvement. Investigate fraud patterns and model errors to identify new signals, improve detection, and expand coverage across customers and use cases. Develop training datasets and predictive features, addressing challenges such as incomplete labels, class imbalance, data leakage, and changing fraud behavior. Design, train, and tune model

We believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid’s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Seattle, Washington D.C., Raleigh, London, and Amsterdam. We are the Fraud Data team within Plaid's Fraud organization. We leverage relationships and activity across Plaid’s network to develop machine learning models that help customers detect and prevent fraud while minimizing friction for legitimate users. Our team owns the full model lifecycle, from data processing and experimentation to feature pipelines, model serving, and monitoring. In this research role, you’ll partner closely with Machine Learning Engineers and Data Scientists to uncover new signals, explore and evaluate innovative modeling approaches, and translate promising research into production-ready solutions that strengthen fraud detection across Plaid’s network. As a Senior Research Scientist, you will lead applied research to develop next-generation fraud detection models across relational graphs, sequential events, images, and video data. You’ll design rigorous experiments and evaluation methodologies that reflect real-world fraud dynamics, while exploring state-of-the-art approaches such as Graph Neural Networks and Transformer-based foundation models. In close partnership with Machine Learning Engineers, you’ll translate promising research into production-ready solu

We believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid’s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Seattle, Washington D.C., Raleigh, London, and Amsterdam. About the Team The Fraud Partnerships Pod is responsible for overseeing all traditional business development and partnerships for the Anti-Fraud Product Area (PA) at Plaid, focusing primarily on our product partnerships and data acquisition (supply side) efforts. The team supports all products under the Fraud Product Area's purview: IDV, Monitor, Layer, and Protect. About the Role You will have an opportunity to lead the strategy and execution of our supply side and "data in" efforts for our Fraud product area across four products (Plaid IDV, Monitor, Layer, and Protect). You will own all critical data partner relationship management with key stakeholders and be expected to grow them over time. You will be the internal quarterback driving alignment with key major internal stakeholders at Plaid, including Finance, BizOps, Commercial, Legal, and Risk. What You'll Do Spend the majority of your time working hand in hand with product leadership as well as other cross-functional leaders to operationalize our data partners for all fraud products at Plaid. Help our data science and research teams define the source data ecosystem for IDV and Protect according to our 3-year strategy. Help e

About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible. At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here . About tvScientific We are the first CTV advertising platform purpose-built for performance marketers. For game developers and publishers, we bridge the gap between massive TV reach and granular User Acquisition (UA) metrics. Built by ad-tech veterans, our platform combines media buying, optimization, and MMP attribution to help gaming brands automate CTV campaigns, drive app installs, and maximize Return on Ad Spend (ROAS). Join the tvScientific team as an Account Manager, where you'll lead strategic client relationships, drive revenue growth, and ensure client success on our cutting-edge platform. As an Account Manager on our team, you'll be responsible for managing a portfolio of key client accounts, developing and executing strategic account plans, and driving revenue growth through upsell, cross-sell, and retention initiatives. You'll levera

As a Product Manager – IaC Detection, you will define, build, and launch capabilities that proactively detect infrastructure issues in code (e.g. Terraform, Helm) before they can be deployed into production and escalate into production incidents. The Infrastructure Monitoring team has pioneered shift-left detection in the industry with Bits Infrastructure Operations , and we’re looking for a Product Manager to expand this capability to a broader set of use cases Customers (and thus developers) are increasingly standardizing on IaC tools to deploy and maintain ever-growing infrastructure in the cloud. At the same time, SREs and Infra teams struggle with an increasing number of production incidents. By shifting-left and identifying high-impact infra changes before they are deployed, we help reduce production incidents, reduce waste, and free up SRE time to focus on value-added tasks. You will own the roadmap to expand IaC detection to a broader set of use cases, including cost detection, blast radius impact, as well as configuration changes on infrastructure powering applications like nginx, postgres and more. You’ll partner closely with Engineering, Design, and customers to build and iterate on the roadmap, build product market fit, drive customer adoption (including internal usage), and focus on coverage and correctness of the AI system. This is an opportunity to lead an initiative at the intersection of AI, infrastructure operations, and autonomous observability. 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 the product roadmap for IaC Detection, enabling customers to proactively detect and catch high-impact infrastructure and configuration changes before they are deployed into production and escalate into incidents. Define the end-to

We believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid’s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Seattle, Washington D.C., Raleigh, London, and Amsterdam. About the Team The Workplace Experience (WPE) team is responsible for shaping the employee experience at Plaid, ensuring that our workspaces, events, and cultural touchpoints drive connection, collaboration, productivity, and engagement. Within WPE, the Events & Experiences team brings Plaid's culture to life by designing and executing programs that foster belonging and engagement across both in-office and distributed environments. The team curates a wide range of experiences—from flagship company-wide gatherings to in-office celebrations, DEIB initiatives, virtual events, and milestone moments. They also lead Plaid's in-person onboarding, ensuring every new hire has a meaningful, high-impact introduction to our culture, values, and ways of working. About the Role We're looking for an Onboarding Coordinator to join our Employee Experience team in San Francisco. You'll help create a warm and seamless welcome for new Plaids by coordinating onboarding logistics, supporting new-hire travel, answering questions, and assisting with in-person sessions. You'll also support employee events and programs that help Plaids feel connected, valued, and engaged. What You'll Do Onboarding Help

We're looking for a Senior Operations Director for Revenue & Services who will serve as a trusted advisor to the Chief Commercial Officer, Professional Services leadership and other senior leaders. This role will shape how Professional Services operates, scales, forecasts, and performs, while driving alignment across Operations, Revenue, Sales and Finance. This role will connect services to broader business strategy, with a focus on cross-functional alignment, profitable growth and corporate results. WHAT YOU’LL DO: Shape and evolve the operating model for Revenue and Services, includingProfessional Services to enable scalable, predictable and profitable growth: forecasting methodology, capacity planning, utilization and margin management, and delivery-to-revenue alignment Set the strategic roadmap for services operations and operating infrastructure, including systems architecture (resource management, CRM integration, financial systems, data and reporting) and where to invest next Act as the strategic partner to Professional Services leaders translating business strategy and operating plans into performance targets. Represent services performance directly to executive leadership and the board Partner with President, Chief Commercial Officer, Finance leaders to evaluate profitable and growth opportunities, operating leverage, organizational capabilities, technologies and external partnerships. Lead deal desk strategy for services and deal governance, including pricing frameworks, SOW structuring, and margin guardrails, in partnership with Sales and Legal Partner in quarterly and annual planning for services capacity and revenue targets, and defend the plan directly to Finance and executive leadership Establish and drive a consistent operating cadence and process framework, including KPIs, business reviews, planning, forecasting, and reporting across the full customer lifecycle, identifying where PS operations should own versus influence