Engineering Manager Development Infrastructure Salary India Jobs

At Trustpilot, we're on an incredible journey. We're a profitable, high-growth FTSE-250 company with a big vision: to become the universal symbol of trust. We run the world's largest open customer review platform, and while we've come a long way, there's still so much exciting work to do. Come join us at the heart of trust! We know that growth doesn’t happen by chance - it’s powered by world-class marketing, underpinned by smart operations. We’re looking for a Marketing Insight & Data Lead to serve as a key operational link between marketing strategy and technical execution, and to deliver insights that fuel our global marketing engine. Under the direct guidance of the Sr. Director of Marketing Ops and working closely with the Head of Marketing Orchestration, your primary mission is to support our insight-delivery framework. You will help gather and structure marketing insight, empowering marketing teams to make data-informed decisions while centralising reporting requirements for hand-off to central Data & Analytics, Data Engineering, and GTM Tech functions. In this role, you act as an integrator, ensuring data outputs are fully operationalised. You will directly impact three core areas: optimising marketing efficiency by delivering dashboards for ROI and Brand Health tracking; supercharging the funnel by refining campaign, lead, and account engagement data; and elevating overall data trust by eliminating blind spots and ensuring system-wide tracking completeness. If you thrive on turning complexity into clarity, blending data with innovation, and enabling marketing teams to perform at their best, this role is for you. What you'll be doing: Lead dashboard and insight delivery for regional and central marketing teams. Translate complex performance data into actionable insights to optimise live campaigns and pull accurate reports aligned with GTM Ops, Finance, and Data teams. Support the operationalisation of dashboards and tools across marketing. Assist with

Hyliion is committed to creating innovative solutions that enable clean, flexible and affordable electricity production. The Company’s primary focus is to develop distributed power generators that can operate on various fuel sources to future-proof against an ever-changing energy economy. Job Purpose The Field Service Specialist provides installation support, commissioning, maintenance, troubleshooting, and on-site customer support for deployed KARNO Power Modules. This is the first dedicated field service role supporting KARNO and is a foundational position within Hyliion's field service organization, which is being built to support installations across the United States. Early deployments focus on defense and data center applications. The position begins with an intensive training period of approximately three to four months in Milford, OH, working alongside the research, development, and engineering teams as KARNO units are built and serviced during final testing, including training on heat engine fundamentals, PLCs, HMIs, and advanced control systems. The position then transitions to field installation, commissioning, and long-term on-site support at customer locations, initially across the West Coast and expanding to other regions as the installed base grows. As the service organization scales, this position helps define its processes and standards. AI at Hyliion At Hyliion, AI is core to how we work. We equip every team member with leading AI tools and count on you to use them — to move faster, solve harder problems, and help us realize the full potential of KARNO technology for the world. Duties and Responsibilities Provide on-site maintenance, troubleshooting, and break-fix support for deployed KARNO units, with remote support from the engineering team. Diagnose issues using remote monitoring systems and troubleshooting logs. Troubleshoot controls, instrumentation, and high-voltage electrical system issues. Super

Our Mission You call. You wait. You call again. In every other part of your life, you book in seconds. In healthcare, you’re blocked. We’re here to give power to the patient. For nearly 20 years, we’ve built the leading healthcare marketplace - helping tens of millions of people find and book the care they need. Now, we’re going further: building our infrastructure beyond Zocdoc’s marketplace to power access to care wherever patients search, from provider websites and insurance directories to search engines, AI platforms, and more. Healthcare still lacks something every other major consumer industry takes for granted: a seamless way to go from seeking to getting . We don’t want to own the front door to care; there isn't one. We want to make sure all of those doors open when patients are knocking. Fixing healthcare starts with fixing access to it. And we're still just getting started. Your Impact on Our Mission As a QA Analyst, you will play a key role in strengthening Zocdoc’s quality ecosystem by ensuring that every issue entering our engineering pipeline is accurate, validated, reproducible, and data-backed. Partnering closely with QA Engineers, Product Engineers, and cross-functional teams, you will transform raw triage data into actionable insights — improving product quality, accelerating issue resolution, and enabling better decision-making. By driving structured triage processes, reporting automation, and analytical insights within the Triage & Reporting Pod, you will directly impact the reliability of our product and the efficiency of our teams, ultimately helping patients access care with ease. You’ll Enjoy This Role if You Are… A detail-oriented, data-driven problem solver Curious and investigative by nature Someone who enjoys structured processes and improving them A strong communicator who thrives in collaboration Excited about automation, reporting, and AI-assisted analysis Motivated by uncovering patterns, trends, and root

About Us Are you ready to build the future of the supply chain? At Gather AI, we’re not just creating software; we’re pioneering a new era of warehouse intelligence. We’ve developed a groundbreaking, vision-powered platform that uses autonomous drones and existing equipment to capture real-time data, completely digitizing workflows that have historically been manual and error-prone. This means facilities operate smarter, safer, and more efficiently, ultimately redefining “on-time, in full” delivery. If you’re looking for an opportunity to contribute to truly transformative technology and make a significant impact in a vital industry, Gather AI is the place for you. We’re leading the charge in the rapidly evolving robotics industry, and we invite you to join us in reshaping the global supply chain, one intelligent warehouse at a time. About the Team You’ll be part of our Engineering organization, working closely with our Full Stack and WMS integration teams. The group builds and operates the production systems behind Gather AI’s warehouse intelligence platform, including APIs, integrations, data pipelines, databases, and application services used by our customers and internal teams every day. This is a small, distributed engineering team where engineers work across a broad technical surface area and have the opportunity to see their work through the full software development lifecycle, from design and development through deployment, production monitoring, troubleshooting, and improvement. About the Role We are hiring an SDE II, Full Stack, for our India-based team. You'll build and run the web platforms behind Gather AI's products - Drone Vision, MHE Vision and SAGE, from the customer-facing dashboards down to the APIs, Integration layers and data pipelines that serve them. This is a fully remote, hands-on engineering role for someone early in their career who already has experience building production software and wants broader ownership. You’ll work alo

Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans the companies defining the next era of technology - hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem. This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us. THE ROLE SHOULD YOU ACCEPT THIS CHALLENGE… The GTM BI team at Pure Storage supports Revenue Operations across pipeline, forecasting, seller performance, and executive reporting — and we are at an inflection point. We are midway through a strategic migration to dbt as our transformation standard. Beyond that, our roadmap includes scalable automation frameworks, semantic business intelligence, and AI-enabled workflows that help surface insights with less manual effort. As a Senior Analytics Engineer, you will help drive that journey end-to-end. This role is grounded in modernization first: building scalable dbt foundations, improving quality and engineering standards, and enabling the team to operate more efficiently before scaling broader AI-enabled capabilities. You will partner closely with BI analysts, Sales Operations, Systems teams, and backend engineering partners to modernize how analytics is engineered, governed, and consumed across the organization. This role is for someone who wants to build — not maintain. WHAT YOU’LL DO… Lead and contribute hands-on to the team’s dbt and Snowflake modernization initiatives Build scalable semantic and metrics layers supporting GTM domains including pipeline, forecasting, quota, attainment, and seller performance Design and maintain robust ELT/ETL pipelines, orchestration workflows, and reusable business-facing datasets Build CI/CD, testing, observability, lineage, and data qualit

This is Adyen Adyen provides payments, data, and financial products in a single solution for customers like Facebook, Uber, H&M, and Microsoft - making us the financial technology platform of choice. At Adyen, everything we do is engineered for ambition. For our teams, we create an environment with opportunities for our people to succeed, backed by the culture and support to ensure they are enabled to truly own their careers. The people of Adyen are motivated individuals who tackle unique technical challenges at scale and solve them as a team. Together, we deliver innovative and ethical solutions that help businesses achieve their ambitions faster. Financial Products The Financial Products solution is responsible for all financial products that we offer on top of payments processing to our customers. Examples of these are our Banking, Issuing, Fx, and Capital products. Whether we work with large partner platforms, medium sized local merchants, or major international enterprise businesses, our products need to meet our clients expectations and seamlessly fit into their systems. What you’ll do: Work on complex technical projects from requirements analysis through design, implementation, testing and launch into production. Be hands-on and contribute to the implementation. Identify and improve parts of the platform to make it more robust and scalable. Bring your own point of view on best engineering practices. Your code will be used at scale and you are expected to think in that mindset when building features. We launch fast and iterate often. Concretely, this means that within your first few weeks, you will bring live functionalities that impact many merchants and shoppers. Build APIs and tooling according to quality principles such as performance and code quality. Collaborate across teams and time zones to get projects over the finish line. Who you are: Familiar with complex large scale distributed systems. You have experience with Java,

Who we are At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences. Our dedication to remote-first work , and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands. . Hiring and how we work We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions! Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings. . See yourself at Twilio Join the team as our next Software Engineer Intern for a duration of 6 months, starting on January 12th 2027. About the job This position is needed to design, develop, deploy and operate software solutions and help Twilio deliver real-time, low latency capabilities for next-generation communications. Twilio Interns in Software Engineering are eager to learn and inspire and like to think at scale and meet high availability goals, bringing a focus to solving resiliency, latency and quality challenges in our virtualized cloud environment. Software Engineers want to develop technical skills and industry experience while working on complex distributed systems. Responsibilities As a Software Engineer Intern you will experience the following - Be a Software Engineer, not just an "intern". Ship many different projects during the 6 months. Learn from passionate engineers at Twilio who solve problems in distributed computing, real-time DSP (audio pr

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 160+ public exchanges globally and thousands of private exchanges 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 an Account Executive, Commercial Sales to join our team. This is a Hybrid role reporting to the Sales Director based in UAE. You will join a global group of professionals passionate about cloud security and driving a secure, cloud-enabled digital future. In this role, you will demonstrate the power and agility of Zscaler cloud transformation by managing a territory focused on net new logos and up-sell opportunities. What you’ll do (Role Expectations) Take ownership of UAE territory focused on net new logo and up-sell opportunities within commercial accounts. Demonstrate expertise in building business cases that clearly show value and differentiation at all levels of customer and prospect organizations Partner effectively with Sales Engineering, Solution Architecture, Value Consulting, and Transformation teams throughout your sales cycles Drive consistent pipeline generation using mode

About the Job: As a Senior Enterprise Account Executive, you will play a pivotal role in winning, nurturing and expanding relationships with Large Enterprise accounts within your designated territory. You should possess exceptional drive to build new business, using stakeholder development, business acumen, a customer-centric approach, and the self-motivation to thrive with minimal supervision. Moreover, you must be adaptable and proficient in wearing multiple hats as you take on this crucial responsibility representing a fast-growing leader in an exciting new category. We have full confidence in your ability to make the right decisions and drive results autonomously. LaunchDarkly is a rapidly evolving software company with a strong mission and vision, powered by a diverse and talented team. Our mission is to accelerate software development by empowering teams. Joining our dynamic and fast-growing team, you will make an immediate impact on our product and customer success. Responsibilities: Ownership of Large Enterprise Accounts: You will be the primary point of contact and relationship owner for large enterprise accounts within your territory. Territory and Account Planning: Develop comprehensive territory and account plans, proactively drive outbound pipeline generation independently, and collaborate effectively with Business Development Representatives. Ensure Successful Adoption: Ensure the seamless expansion of LaunchDarkly within these large enterprises through robust account management. Coordinate closely with pre-and-post sales engineering, customer success, and support teams to guarantee client satisfaction. Elevate LaunchDarkly's Visibility: Increase LaunchDarkly's visibility and communicate our value proposition effectively to Vice Presidents and C-Suite executives within these large enterprises. Collaboration with Solutions Engineers: Work closely with your solutions engineer counterpart to deliver both business and technical value to prospects and custo

At Vanta, our mission is to help businesses earn and prove trust. We believe that security should be monitored and verified continuously, and we empower companies to practice better security and prove it with ease. Vanta has a kind and talented team, and while some have prior security experience, many have been successful at Vanta without it. As a Senior Product Designer, Agent Experience at Vanta, you will define how AI agents help security and compliance teams accomplish meaningful work with greater clarity, control, and trust across Vanta and the surfaces where our customers already work. The Agent Experience team builds agent-led experiences that help security and compliance teams achieve outcomes with less manual effort. The team owns the agent harness, including agents, skills, tools, and memory, as well as the patterns that help customers understand, guide, review, correct, and trust agent-generated work. Our goal is to make AI-powered workflows useful, transparent, and dependable in a product where clarity and correctness matter. As a Senior Product Designer on this team, you will shape both the underlying agent experience and the customer-facing workflows built on top of it. You will partner with Product, Engineering, Research, Data, AI Quality, and customer-facing teams to turn ambiguous problems into thoughtful, scalable, and trustworthy experiences. The patterns you establish will influence product teams across Vanta. What you’ll do as a Senior Product Designer, Agent Experience at Vanta: Lead end-to-end design for projects across the agent harness, from problem framing and discovery through launch and iteration. Define how agents, skills, tools, and memory are composed, surfaced, and understood by customers. Design experiences that help customers delegate real security and compliance work while maintaining visibility, control, and confidence. Create patterns for reviewing, correcting, approving, interrupting, and recovering from agent-generated work. De

About the Role As Head of Finance - Data Centers, you will be the finance leader for OpenAI’s self-built data center efforts. You will partner with teams across infrastructure, real estate, energy, construction, procurement, and finance to turn proposed sites into sound investment decisions and funded projects. This role spans the full development lifecycle: evaluating opportunities, building investment cases, forecasting capital needs, managing construction budgets, and helping determine how projects should be financed. You will give leadership a clear view of project economics, funding requirements, and risks as we build data center capacity at scale. In this role, you will: Lead financial evaluation of proposed data center and related power infrastructure projects, including site economics, development costs, capacity phasing, lifecycle costs, and key risks. Build and own project-level models and capital expenditure forecasts that connect construction schedules, power delivery, equipment procurement, contingencies, and funding needs. Establish capital budgets and financial controls for active builds. Track commitments, actual spending, change orders, and forecasts to completion; identify cost or schedule risks early. Partner with development, engineering, energy, construction, and procurement leaders on decisions that affect cost, timing, and long-term performance. Work with Treasury, Corporate Finance, Tax, and Legal to evaluate financing options, including project or construction debt, leases, joint ventures, and other partnership structures where appropriate. Prepare investment recommendations and capital approval materials for senior leadership, translating complex project details into clear choices and tradeoffs. Build a consistent portfolio view of project costs, cash requirements, milestones, and financial performance. Partner with Accounting and operations teams through project completion and handoff. You might thrive in this role if you have: Prior exper

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 AI team is focused on one of Stripe’s most strategic growth areas: enabling the monetization and scaling of AI-native and AI-enabled businesses. We’re in a unique position – partnering with the world’s most ambitious AI companies (the likes of OpenAI, Anthropic, NVIDIA, etc) building on the frontier of artificial intelligence -- across infrastructure, foundation models, agents, and applications -- to help them grow and commercialize globally using Stripe’s full financial stack. As part of Stripe’s GTM / Sales organization, this team works closely with Product, Engineering, and Marketing to shape Stripe’s AI GTM strategy and ensure that the world’s leading AI companies -- from early-stage innovators to the largest public players -- choose Stripe as their monetization platform. What you’ll do Work with existing Stripe customers in the AI Industry to develop and execute long-term sales strategies to expand Stripe’s revenue Own the full sales cycle, from business case development, to deal structuring and negotiating, to close Develop account plans and cross sell into your list of strategic AI customers, driving growth through expansion and new revenue streams Drive deal strategy and commercial negotiations for large, complex renewals Develop relationships with executive stakeholders within your book of business, deeply understanding problems they are solving and helping drive to solutions Be responsible for account mapping and coordinating ef

We're looking for an ML Data & Platform Engineer to own the infrastructure that powers our speech AI models: the pipelines that source and prepare training data, and the platform that trains, evaluates, and serves them in production. Speech AI has a data problem most ML teams don't, and you'll be at the centre of solving it, working as part of our ML team to remove friction across the entire lifecycle and get better models into production faster. This is a broad, cross-functional role suited to someone who enjoys working across the full stack: data infrastructure, distributed systems, and production ML, and who takes ownership of problems end to end rather than waiting to be told what to fix. What you'll do Designing, building, and maintaining scalable data pipelines for ingesting, transforming, validating, and storing large datasets used to train our models Developing and maintaining web scraping and data acquisition solutions to keep training datasets fresh, high-quality, and available at scale Building and operating the infrastructure that lets the ML team deploy and evaluate new models quickly, and that serves models efficiently and reliably in production Optimising infrastructure for both iteration speed and production reliability, including GPU utilisation, job scheduling, and training efficiency Implementing observability (monitoring, logging, alerting) across data pipelines and ML systems to catch issues early and keep things running smoothly Troubleshooting complex issues across distributed systems, spanning data infrastructure, training, and inference Continuously improving our data and MLOps practices, and helping shape the roadmap for how our platform evolves as we scale What you'll need Strong proficiency in Python and SQL, with a solid backend or data engineering foundation Hands-on experience with containerisation and orchestration (Docker, Kubernetes), and working with a major cloud provider Experience building data pipelines and ETL/ELT processe

Human Data Quality Engineer (Founding Team) Prolific Prolific isn’t just enabling AI innovation – we’re redefining it. While foundational AI technologies are becoming commoditized, Prolific’s human data infrastructure provides the high-quality, diverse data required to train the next generation of AI models. Through our platform, we empower researchers and companies to access a global, ethically curated participant base, ensuring cutting-edge AI research and training grounded in inclusivity and precision. The Role As one of the founding members of Prolific's newly formed AI Data Services team, you'll help build the quality systems behind some of the world's most advanced AI models. Data quality is a strategic priority for Prolific, so this is a high-visibility role with direct exposure to senior stakeholders. This isn't a traditional QA role. We are not looking for someone to review data against a predefined checklist. We are looking for an innovative thinker that can leverage their expertise to define what good means where no definition exists yet. Acting as a strategic thought partner, you’ll work at the intersection of human data, machine learning, evaluation across frontier use-cases that define what high-quality human data looks like for the next generation of advanced AI. This means that much of the work involves novel problems with no established answer, so you’ll be comfortable working through ambiguity.. . Your primary focus is working directly with clients and alongside frontier AI labs, translating what their models need into robust human data and evaluation strategies. Rather than checking quality at the end of a project, you'll engineer quality into every stage of the lifecycle, from study design and participant strategy through to evaluation, launch readiness and client delivery.You will also work alongside our product engineering, and supply teams to define and build the quality infrastructure that will enable us to deliver h

Human Data Quality Analyst, AI Business Prolific Prolific isn’t just enabling AI innovation – we’re redefining it. While foundational AI technologies are becoming commoditized, Prolific’s human data infrastructure provides the high-quality, diverse data required to train the next generation of AI models. Through our platform, we empower researchers and companies to access a global, ethically curated participant base, ensuring cutting-edge AI research and training grounded in inclusivity and precision. The Role Prolific provides the human data that powers the next generation of AI models, working with frontier labs to capture the complex human judgments researchers need to train, evaluate and improve them. As a Human Data Quality Analyst, you'll be on the front line of making sure that data captures the right signal and is genuinely good enough to do its job. This isn’t traditional, back-office QA. You’ll be doing real analytical work: digging into datasets, identifying patterns and failure modes, investigating why quality has shifted, and turning complex findings into clear insights that help us improve how data is collected, reviewed and delivered. You'll spend real time reading annotations closely, but that is how you gather evidence, not what you produce. What you produce is analysis, practical recommendations and better quality controls. You'll get hands-on exposure to human data, annotation, machine learning pipelines and AI evaluation, working alongside Quality, Engineering, Operations and Delivery on new and evolving problems. There won't always be an established playbook. You'll be guided by our quality engineers, but you'll also need to run your own analysis, test your assumptions and recognise when you need input. It is a role with a steep learning curve from day one and a strong opportunity for someone early in their career to build deep, practical experience in a fast-moving area of AI. What You’ll Be Doing Run day-to-day qualit