Business Systems Analyst in India

About Ema Ema is building the world’s leading Agentic AI platform to transform enterprise productivity. We enable organizations to delegate repetitive tasks to Ema, the Universal AI Employee, delivering 10x gains in workforce efficiency, across functions. Founded by former executives from Google, Coinbase, Flipkart, and Okta, our team includes engineers from premier tech companies and graduates of Stanford, MIT, UC Berkeley, CMU, and IITs. We are backed by industry leading investors including Accel, Naspers/Prosus, Section32, and angels like Sheryl Sandberg and Dustin Moskovitz. Headquartered in Silicon Valley and with offices in London, Bangalore and Vancouver, Ema is at the frontier of what Agentic AI can do in production — we ship real systems that run real business processes at scale. Ema is building the world’s first Universal AI Employee — an agentic AI platform that automates complex, cross-system enterprise workflows end-to-end, with humans in the loop where it matters. Unlike copilots or narrow automation tools, Ema deploys production-grade multi-agent systems that integrate deeply with enterprise SaaS platforms and execute real business processes at scale. Our customers don’t experiment — they replace brittle, manual operations with reliable AI systems that deliver measurable outcomes. Founded by leaders from Google, Coinbase, and Okta , and backed by top-tier investors, Ema operates at the frontier of enterprise AI execution , not demos. With teams across Silicon Valley and Bangalore, we are defining how agentic AI is delivered responsibly, reliably, and at scale. If you care about building and shipping real AI systems that work in production , this role is for you. Who You Are The Customer Engagement Manager owns the delivery and stabilization of Ema’s agentic AI solutions — from commitment through production rollout and steady state. This is not a research role , a support role or a coordination only project management role. You are the delivery leader

About Ema Ema is building the world’s leading Agentic AI platform to transform enterprise productivity. We enable organizations to delegate repetitive tasks to Ema, the Universal AI Employee, delivering 10x gains in workforce efficiency, across functions. Founded by former executives from Google, Coinbase, Flipkart, and Okta, our team includes engineers from premier tech companies and graduates of Stanford, MIT, UC Berkeley, CMU, and IITs. We are backed by industry leading investors including Accel, Naspers/Prosus, Section32, and angels like Sheryl Sandberg and Dustin Moskovitz. Headquartered in Silicon Valley and with offices in London, Bangalore and Vancouver, Ema is at the frontier of what Agentic AI can do in production — we ship real systems that run real business processes at scale. In this role, you will: Collaborate with the sales leadership to understand customer requirements and enable technical solutions deployment based on customer needs. Develop an in-depth understanding of Ema’s technology and underlying architectures Deliver compelling product demonstrations tailored to the specific needs of potential customers, showcasing key features and benefits. Work closely with customers to execute successful PoCs, demonstrating the feasibility and value of Ema in their environment. Position yourself as a Trusted Advisor to key customer stakeholders with a focus on achieving their desired Business Outcomes. Collaborate with customers to design and architect solutions that align with their business goals, ensuring seamless integration with existing systems. Drive project teams towards common goals of accelerating the adoption of Ema’s solutions. Demonstrate and communicate the value of Ema’s solution throughout the engagement, from demo to proof of concept to running workshops, design sessions and implementation with customers and stakeholders. Help take Ema’s solution from POC to production. Understand customers cloud/on-prem environment and their unique needs f

About Ema Ema is building the world’s leading Agentic AI platform to transform enterprise productivity. We enable organizations to delegate repetitive tasks to Ema, the Universal AI Employee, delivering 10x gains in workforce efficiency, across functions. Founded by former executives from Google, Coinbase, Flipkart, and Okta, our team includes engineers from premier tech companies and graduates of Stanford, MIT, UC Berkeley, CMU, and IITs. We are backed by industry leading investors including Accel, Naspers/Prosus, Section32, and angels like Sheryl Sandberg and Dustin Moskovitz. Headquartered in Silicon Valley and with offices in London, Bangalore and Vancouver, Ema is at the frontier of what Agentic AI can do in production — we ship real systems that run real business processes at scale. Who we are Ema is building the next generation AI technology to empower every employee in the enterprise to be their most creative and productive. Our proprietary tech allows enterprises to delegate most repetitive tasks to Ema, the AI employee. We are founded by ex-Google, Coinbase, Okta executives and serial entrepreneurs. We’ve raised capital from notable investors such as Accel Partners, Naspers, Section32 and a host of prominent Silicon Valley Angels including Sheryl Sandberg (Facebook/Google), Divesh Makan (Iconiq Capital), Jerry Yang (Yahoo), Dustin Moskovitz (Facebook/Asana), David Baszucki (Roblox CEO) and Gokul Rajaram (Doordash, Square, Google). Our team is a powerhouse of talent, comprising engineers from leading tech companies like Google, Microsoft Research, Facebook, Square/Block, and Coinbase. All our team members hail from top-tier educational institutions such as Stanford, MIT, UC Berkeley, CMU and Indian Institute of Technology. We’re well funded by the top investors and angels in the world. Ema is based in Silicon Valley and Bangalore, India. This will be a hybrid role where we expect employees to work from office three days a week. Who you are We are seeking an

About Ema Ema is building the world’s leading Agentic AI platform to transform enterprise productivity. We enable organizations to delegate repetitive tasks to Ema, the Universal AI Employee, delivering 10x gains in workforce efficiency, across functions. Founded by former executives from Google, Coinbase, Flipkart, and Okta, our team includes engineers from premier tech companies and graduates of Stanford, MIT, UC Berkeley, CMU, and IITs. We are backed by industry leading investors including Accel, Naspers/Prosus, Section32, and angels like Sheryl Sandberg and Dustin Moskovitz. Headquartered in Silicon Valley and with offices in London, Bangalore and Vancouver, Ema is at the frontier of what Agentic AI can do in production — we ship real systems that run real business processes at scale. Who are you? We are seeking an experienced Enterprise Software Engineer to join the Ema team in India. As an Enterprise Software Engineer, you will be responsible for designing, developing, and maintaining our enterprise software applications. You will work with a cross-functional team of product managers, designers, and developers to deliver high-quality software solutions that meet the needs of our enterprise clients. The ideal candidate has experience building products across the stack and a firm understanding of web frameworks, APIs, databases, and multiple back-end languages. Most importantly, you are excited to be part of a mission-oriented, fast-paced, high-growth startup that can create a lasting impact. You will: Develop and maintain enterprise software applications, including API, data, application, and service development Write clean, efficient, and maintainable code by employing test-driven development process. Build scalable and reliable back-end systems using languages like Go and Python. Develop and maintain APIs using REST, gRPC or GraphQL Integrate multiple enterprise applications and services using a scalable framework like FastAPI Build and maintain data schema u

About Ema Ema is building the world’s leading Agentic AI platform to transform enterprise productivity. We enable organizations to delegate repetitive tasks to Ema, the Universal AI Employee, delivering 10x gains in workforce efficiency, across functions. Founded by former executives from Google, Coinbase, Flipkart, and Okta, our team includes engineers from premier tech companies and graduates of Stanford, MIT, UC Berkeley, CMU, and IITs. We are backed by industry leading investors including Accel, Naspers/Prosus, Section32, and angels like Sheryl Sandberg and Dustin Moskovitz. Headquartered in Silicon Valley and with offices in London, Bangalore and Vancouver, Ema is at the frontier of what Agentic AI can do in production — we ship real systems that run real business processes at scale. Who you are You are an experienced Infrastructure Engineer Engineer who owns backend infrastructure end to end. You design multi-tenant, microservices-based systems that other engineering teams build on, and you make deliberate architectural tradeoffs around consistency, latency, scale, and cost. You are comfortable going deep — service mesh internals, database internals, distributed-systems failure modes — and equally comfortable defining the reliability and security contracts an enterprise AI platform depends on. Responsibilities Design, own, and evolve scalable microservices architectures on Kubernetes across GCP, Azure, and AWS, including multi-tenant isolation (namespaces, network policies, per-tenant resource quotas and RBAC). Build core platform and data-plane components in Golang and Python — data ingestion, knowledge-base indexing and vector/graph search, application connectivity, workflow automation, and ML operations — against explicit latency and throughput SLOs. Own service-to-service communication: gRPC/protobuf API contracts, service mesh (Istio/Linkerd), load balancing, retries, timeouts, and circuit breaking. Make and document architectural tradeoffs — partitioning

About Ema Ema is building the world’s leading Agentic AI platform to transform enterprise productivity. We enable organizations to delegate repetitive tasks to Ema, the Universal AI Employee, delivering 10x gains in workforce efficiency, across functions. Founded by former executives from Google, Coinbase, Flipkart, and Okta, our team includes engineers from premier tech companies and graduates of Stanford, MIT, UC Berkeley, CMU, and IITs. We are backed by industry leading investors including Accel, Naspers/Prosus, Section32, and angels like Sheryl Sandberg and Dustin Moskovitz. Headquartered in Silicon Valley and with offices in London, Bangalore and Vancouver, Ema is at the frontier of what Agentic AI can do in production — we ship real systems that run real business processes at scale. The Role The Customer Engagement Manager owns a portfolio of strategic enterprise accounts end-to-end: every engagement, every outcome, every relationship, every expansion opportunity. Think of this as the McKinsey Associate Partner model applied to enterprise AI delivery. You are the single point of accountability for your accounts. The customer calls you — not your manager — when they have a problem. You staff delivery teams, oversee solution quality, run executive readouts, measure ROI, drive adoption, rebuild trust when things break, and grow the book through proven production value. This is not a project management role. This is an account ownership role that combines delivery orchestration, outcome ownership, customer leadership, and commercial growth. What You’ll Own 1. Account Ownership Own your accounts end-to-end: every engagement, every outcome, every relationship. Everything good or bad stops with you. Be the single point of contact the customer calls for any problem — delivery, quality, adoption, escalation, or expansion. Maintain a holistic view of each account: engagement status, risk exposure, opportunity pipeline, and the customer’s strategic priorities for the qua

About Ema Ema is building the world’s leading Agentic AI platform to transform enterprise productivity. We enable organizations to delegate repetitive tasks to Ema, the Universal AI Employee, delivering 10x gains in workforce efficiency, across functions. Founded by former executives from Google, Coinbase, Flipkart, and Okta, our team includes engineers from premier tech companies and graduates of Stanford, MIT, UC Berkeley, CMU, and IITs. We are backed by industry leading investors including Accel, Naspers/Prosus, Section32, and angels like Sheryl Sandberg and Dustin Moskovitz. Headquartered in Silicon Valley and with offices in London, Bangalore and Vancouver and Bangalore, Ema is at the frontier of what Agentic AI can do in production — we ship real systems that run real business processes at scale. What You’ll Own As our Social Media & Community Manager, you’ll sit at the intersection of content, brand, community, and experimentation. You’ll help shape how the world sees Ema and create an influential community of enterprise leaders rethinking how work gets done with AI. Social Media & Content Creation Scale Ema’s LinkedIn from 130K → 200K+ with bold, creative storytelling + optimal RoAS (return on ad spend) and a strong lens on ICP Maintain a consistent 4 week rolling calendar across social media, blogs, newsletter, channels Write or edit 1 blog/week, collaborating with engineers, design, and leadership to ship at scale, faster Work with design to repurpose existing content—whitepapers, blogs, interviews, videos—into carousels, short videos, blogs, newsletters so to achieve consistency + repetition as a brand Continuously experiment and improve existing channels, and also identify the right new distribution channels and format to scale Ema’s social presence (YouTube, Twitter, Instagram) and more Track performance and run smart, creative experiments Accelerate Brand & Category Creation Drive consistent messaging across website, socials, blogs, newslet

About Ema Ema is building the world’s leading Agentic AI platform to transform enterprise productivity. We enable organizations to delegate repetitive tasks to Ema, the Universal AI Employee, delivering 10x gains in workforce efficiency, across functions. Founded by former executives from Google, Coinbase, Flipkart, and Okta, our team includes engineers from premier tech companies and graduates of Stanford, MIT, UC Berkeley, CMU, and IITs. We are backed by industry leading investors including Accel, Naspers/Prosus, Section32, and angels like Sheryl Sandberg and Dustin Moskovitz. Headquartered in Silicon Valley and with offices in London, Bangalore and Vancouver, Ema is at the frontier of what Agentic AI can do in production — we ship real systems that run real business processes at scale. The role “The ideal forward deployed builder is a composite. Not a software engineer, not a product manager, not a solutions architect or a salesperson — but able to draw on any of these to solve the customer’s problems, in the customer’s building, on the customer’s timeline, against the customer’s data.” Ema is building the Universal Agentic Control Plane — the layer where enterprises turn messy, human-run business processes into AI Employees that actually do the work. The platform is powerful. The bottleneck is people who can walk into a customer’s world, see what should be automated, and make it real. That’s this role. We’re looking for a Forward Deployed Builder to embed inside our customers and partners, find the highest-value opportunities for agentic automation, solution them, build the demo, win the deal, and then stay to implement it in production. You go in alone, Rambo in the jungle, armed with your wits, your skills, and the most powerful agentic platform on the market. We’ll train you hard before you deploy. After that, the territory is yours. This is not a support role behind an account team. You are the account team, the solutions architect, and the builder, compress

About Us Paytm is India's payment Super App offering consumers and merchants the most comprehensive payment services. As the pioneer of the mobile QR payments revolution in India, today, Paytm stands as India’s largest payment company by Users, Merchants, Payment Transactions, and Revenue. Paytm’s mission is to drive financial inclusion in India and bring half a billion Indians into the mainstream economy through technology-led financial Services. Paytm enables commerce for small merchants and distributes various financial services offerings to its consumers and merchants in partnership with financial institutions. Paytm has been a pioneer in the merchant space by introducing innovative solutions like QR codes to accept payments and Sound-box to reconcile payments via voice alerts. We are also distributing loans to these partners via our ‘Paytm for Business’ App. About The Team Paytm Intelligence is building next-generation AI platforms across two key areas: AI inference infrastructure and agentic AI solutions. Our focus is on enabling enterprises to move from AI experimentation to production-grade deployment with measurable business outcomes. In the agentic AI space, we are building solutions such as Outreach Manager, CLM agents, and domain- specific AI agents that automate complex customer journeys across sales, service, and operations. These systems go beyond traditional chatbots, orchestrating workflows, decisions, and actions across enterprise systems. About the Role We are hiring an AI Agentic Solutions Architect to drive enterprise adoption of AI-powered workflow automation. This role sits at the intersection of business process transformation, AI systems, and enterprise sales. You will work directly with enterprise customers to understand their workflows, identify automation opportunities, and design agentic solutions that deliver measurable outcomes such as cost reduction, conversion uplift, and improved customer experience. Key Responsibilities Customer

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. Cloud Support Engineer — AI/ML & Programmability (Night Shift) Location: Pune, India Snowflake's Support team is expanding. We're looking for a Cloud Support Engineer who enjoys working with data and solving a wide variety of problems, drawing on hands-on experience across operating systems, database technologies, big data, data integration, connectors, and networking. Our mission is to make Snowflake the preferred platform for running all AI, ML, data science, and data engineering workloads. You'll join a highly productive, fast-moving team supporting Snowflake Cortex and our ML product lines — work that is central to delivering on Snowflake's AI Data Cloud mission. Snowflake Support is committed to providing high-quality resolutions that help customers deliver data-driven business insights and results. We are a team of subject matter experts working collectively toward our customers' success, building partnerships by listening, learning, and connecting. Snowflake's values shape how we deliver world-class Support: putting customers first, acting with integrity, owning initiative and accountability, and getting it done. As a Cloud Support Engineer, you'll be the technical partner our customers turn to for guidance on using Snowflake effectively. You'll also be the voice

About the Role We are looking for a Director of Engineering – AI & Full-Stack SaaS to lead the engineering strategy and execution for a highly scalable, enterprise-grade SaaS platform. This role is ideal for a strong engineering leader who combines deep software engineering expertise, enterprise SaaS experience, cloud-native architecture, full-stack product development, and practical AI/GenAI adoption . The successful candidate will lead multiple engineering teams, drive architectural and technical decisions, improve engineering velocity and quality, and help embed AI across the software development lifecycle and product engineering ecosystem. Key Responsibilities Lead and mentor multiple engineering teams responsible for building and delivering enterprise SaaS products. Define and execute the engineering strategy, technical roadmap, architecture and development standards . Drive development of highly scalable, secure, reliable and cloud-native SaaS applications. Provide technical leadership across backend, frontend, APIs, microservices and distributed systems . Drive adoption of AI/GenAI tools and capabilities across the engineering lifecycle, including development, testing, code quality, productivity and automation. Partner closely with Product, Architecture, DevOps, Security and other cross-functional teams to deliver business-critical capabilities. Establish engineering best practices around design, coding, testing, CI/CD, observability, performance and reliability . Own engineering delivery, quality, scalability and operational excellence across multiple product areas. Identify and resolve complex technical and architectural challenges. Build a high-performing engineering culture focused on innovation, ownership, collaboration and continuous improvement . Evaluate emerging technologies and identify opportunities to leverage AI and automation to improve engineering productivity and product capabilities. Drive technical modernization and evolution of existing

About DevRev At DevRev, we're building the future of work with Computer – your AI teammate. Unlike traditional tools, Computer unifies all your data sources, tools, and workflows into a single AI-ready platform, giving employees real-time insights, proactive suggestions, and powerful agentic actions. It extends your existing software with AI-native apps and agents that work alongside your teams and customers – updating workflows, coordinating across teams, and eliminating repetitive work. We call this Team Intelligence: human-AI collaboration that breaks down silos, brings people back together, and frees you to solve bigger problems. Backed by Khosla Ventures and Mayfield with $150M+ raised, DevRev is trusted by global companies across industries. About the role As a Forward Deployed Engineer for Implementation Partners at DevRev, you will be the technical bridge between DevRev, our implementation partners, and their customers. You will combine strong software engineering, systems integration, applied AI, and customer-facing problem solving to help partners successfully design, build, deploy, and scale solutions on the DevRev platform. This is not a traditional software engineering role. You will operate at the intersection of engineering, solution architecture, partner enablement, product expertise, and delivery . You will work directly with partners and customers to understand requirements, scope solutions, unblock implementations, and translate complex business workflows into AI agents, integrations, automations, and repeatable vertical solutions. You will own the technical partner journey end to end — from onboarding, enablement, and certification through solutioning, implementation delivery, technical adoption, and ongoing partner success. At the same time, you will build reusable internal tools, frameworks, playbooks, and product capabilities that allow DevRev and its partners to scale across multiple implementations. Success in this role requires strong techn

About DevRev At DevRev, we're building the future of work with Computer – your AI teammate. Unlike traditional tools, Computer unifies all your data sources, tools, and workflows into a single AI-ready platform, giving employees real-time insights, proactive suggestions, and powerful agentic actions. It extends your existing software with AI-native apps and agents that work alongside your teams and customers – updating workflows, coordinating across teams, and eliminating repetitive work. We call this Team Intelligence: human-AI collaboration that breaks down silos, brings people back together, and frees you to solve bigger problems. Backed by Khosla Ventures and Mayfield with $150M+ raised, DevRev is trusted by global companies across industries. About the role As a Forward Deployed AI Strategist , you will serve as the lead technical strategist embedded with our customers. You'll own the end-to-end design of AI-driven business transformation projects from understanding domain-specific needs to architecting scalable agent-based solutions using DevRev’s platform. This role requires a unique blend of enterprise architecture, AI solutioning, customer empathy, and cross-functional collaboration. You’ll act as the connective tissue between pre-sales, customer success, engineering, and product teams bringing our AI capabilities to life for real-world impact. What you'll do Own Customer Context : Deeply understand customer business domains, systems, and OKRs/KPIs to guide solution design. Architect AI Transformation : Design and document AI-driven workflows, agents, skills, and system integrations that align with customer goals and industry best practices. Be a Trusted Advisor : Build strong partnerships with customer stakeholders as their technical counterpart, delivering confidence in our platform’s capabilities. Translate & Coordinate : Bridge the gap between pre-sales/CS and engineering, ensuring requirements are actionable and outcomes measurable. Design R

About Zinnov Zinnov is a global management consulting firm that helps organizations make decisions that actually get used — and deliver results that matter. For over two decades, we’ve partnered with leading enterprises, high-growth technology companies, and investors to answer some of the toughest questions they face: Where should we invest? How do we scale globally? What capabilities will win in the next decade? Our work shapes market entry strategies, global operating models, M&A decisions, and long-term growth bets. We’re known for being data-led, execution-focused, and outcome-driven — not opinion-heavy slideware. At Zinnov, how you work matters as much as what you deliver. We value independent thinking, crisp communication, and early ownership. With 450+ professionals across 10 global offices, we work across industries including Digital Services, ER&D, Enterprise Software, Semiconductors, Healthcare, BFSI, Automotive, Media & Telecom, and Private Equity. Zinnov isn’t for everyone. It’s for people who want steep learning curves, honest feedback, and the chance to see their work influence real business decisions — not just presentations. About the Role As a Senior Data Engineer , you will own the data foundation of Zinnov’s GCC Intelligence Platform—building reliable multi-tenant pipelines and KPI-ready datasets across Finance and Hiring domains. Your work enables downstream dashboards and AI agents to operate on clean, reconciled, governed data. What You’ll Do Data Pipelines & Medallion Architecture Build andmaintainingestion pipelines from source systems (e.g., Dynamics, Workday, Airtable, SFTP feeds). Design and implement Medallion pipelines (Bronze → Silver → Gold) across Finance and Hiring data. Build reconciliation and gating logic to ensure only validated data reaches Gold. Multi-tenant Data Modeling Design multi-tenant PostgreSQL schemas with row-level s

Here at Appian, our values of Intensity and Excellence define who we are. We set high standards and live up to them, ensuring that everything we do is done with care and quality. We approach every challenge with ambition and commitment, holding ourselves and each other accountable to achieve the best results. When you join Appian, you’ll be part of a passionate team dedicated to accomplishing hard things, together. The Mission As a Lead Software Engineer working on the Appian platform, your mission is to be the technical anchor for our most ambitious engineering initiatives. You will ensure Appian is always fast, scalable, and resilient, regardless of the complexity our customers demand. While a Senior Engineer focuses on feature health, you are focused on platform evolution . You will lead the design and orchestration of high-stakes systems, integrating cutting-edge AI into the core fabric of our product. This role demands a balance of elite coding mastery, visionary system architecture, and the ability to align technical roadmaps with Appian's overarching business strategy. Key Responsibilities The Lead Software Engineer isn't just "the best coder"—they are the architect of the team’s success and the guardian of our technical future. Technical Strategy & Roadmap: Work alongside Product Leadership to transform long-term business goals into scalable technical milestones. You don't just build features; you define the technical "North Star." Advanced Architecture: Lead the design of distributed, event-driven, and cloud-native systems. You are responsible for making high-level decisions on system boundaries, data consistency, and integration patterns. AI Orchestration & Innovation: Drive the adoption of AI-native engineering and an AI-native culture within the team. This includes using AI tools to improve developer productivity and implementing AI features into the platform to make the Appian platform more intelli