Project Coordinator in Noida

About Paytm Paytm is India's leading mobile payments and financial services distribution company. Pioneer of the mobile QR payments revolution in India, Paytm builds technologies that help small businesses with payments and commerce. Paytm’s mission is to serve half a billion Indians and bring them to the mainstream economy with the help of technology. Job Purpose The Corporate Development team drives the company's long-term growth and strategic evolution. As a Senior Corporate Development team member, you will own the end-to-end inorganic growth roadmap — from scouting and originating deals through evaluation, execution, and handoff to integration. You will bring deep, hands-on experience from the venture capital ecosystem and act as a primary connector between external market opportunities and internal executive leadership. Key Responsibilities 1. Strategy & Market Intelligence • Partner with senior executives to define and refine the company's inorganic growth roadmap • Run continuous macroeconomic and industry research to surface emerging trends, market disruptions, and high-fit targets • Track market developments, precedent transactions, and comparable companies • Own and maintain a proactive pipeline of acquisition, investment, and partnership targets 2. Deal Scouting & Sourcing • Actively scout and originate deals across the VC ecosystem — founders, venture funds, growth investors, and strategic networks • Build and deepen relationships with VCs, investment bankers, PE firms, and target company leadership • Screen inbound and outbound opportunities against corporate strategic criteria with clear go/no-go judgment • Develop sharp strategic rationale and business cases for C-suite and Board review 3. Deal Management • Own the deal book: prioritization, stage tracking, stakeholder alignment, and decision cadence • Coordinate due diligence and manage data rooms on live transactions • Orchestrate internal cross-functional teams (Legal, Finance, Tax, HR

WHO WE ARE: Zinnia is the leading technology platform for accelerating life and annuities growth. With innovative enterprise solutions and data insights, Zinnia simplifies the experience of buying, selling, and administering insurance products. All of which enables more people to protect their financial futures. Our success is driven by a commitment to three core values: be bold, team up, deliver value – and that we do. Zinnia has over $180 billion in assets under administration, serves 100+ carrier clients, 2500 distributors and partners, and over 2 million policyholders. WHO YOU ARE: As Senior Product Manager for Case Management, you will own the product area that moves insurance cases through their lifecycle — from new-business intake and requirements orchestration through underwriting, issuance, and placement. You will lead the product life cycle for this domain, partner closely with Engineering, and work across Zinnia’s Product Organization to keep the case-management experience aligned with company strategy while delivering measurable value to carriers, distributors, and policyholders. WHAT YOU’LL DO: Own the product roadmap and lifecycle for Zinnia’s case-management capabilities across the new-business and underwriting workflow - intake, requirements gathering, status tracking, and case placement - spanning distributor and carrier touchpoints on our platforms. Lead technical discussions with Engineering teams and manage technical and business requirements end to end. Partner with cross-functional teams to ensure product requirements are met, evaluate product performance, and transition features from development to commercialization. Define delivery and deployment timelines for new product, feature, maintenance, and corrective/service-pack releases. Ensure the technology and architectural roadmap aligns with and supports the product and business roadmap. Act as a customer liaison on technical matters related to product integration, custom development, and requ

Title: Staff Site Reliability Engineer, Product Area Focus Location: Noida/ Bangalore (Hybrid) Summary of role Own availability, the most important product feature, by continually striving for sustained operational excellence of Sumo’s planet-scale observability and security products. Work alongside your global SRE team, executing on projects in your product-area specific reliability roadmap, to optimize operations, increase efficiency in our use of cloud resources and our developer’s time, harden security posture, and increase feature velocity of our developers Work closely with multiple teams to optimize the operations of their microservices - and improve the lives of the engineers within your product area engineering team. Responsibilities Support the engineering teams within your product area by maintaining and executing a reliability roadmap of opportunities for improvement for reliability, maintainability, security, efficiency, and velocity - and help for realizing those opportunities. Collaborate with development infrastructure, Global SRE, and your product area engineering teams to establish and continually refine your reliability roadmap. Participate in defining, evolving, and managing SLOs for several teams within your product area. Participate in on-call rotations within your product area to understand operations workload so you can continually work to improve the on-call experience and reduce operational workload for running microservices and related components. Complete projects to optimize and tune on-call experience for your engineering teams. Continually improve the lifecycle of microservices and architectural components from inception and design, through deployment, operation, and refinement. Write code and automation to reduce operational workload, increase efficiency, improve security posture, eliminate toil, and enable Sumo’s developers to deliver features more rapidly. Work closely with the developer infrastructure teams to expedite

Title: Senior Site Reliability Engineer - I, Product Area Focus Location: Noida (Hybrid) Summary of role Own availability, the most important product feature, by continually striving for sustained operational excellence of Sumo’s planet-scale observability and security products. Work alongside your global SRE team, executing on projects in your product-area specific reliability roadmap, to optimize operations, increase efficiency in our use of cloud resources and our developer’s time, harden security posture, and increase feature velocity of our developers Work closely with multiple teams to optimize the operations of their microservices - and improve the lives of the engineers within your product area engineering teams. Responsibilities Support the engineering teams within your product area by maintaining and executing a reliability roadmap of opportunities for improvement for reliability, maintainability, security, efficiency, and velocity - and help for realizing those opportunities. Collaborate with development infrastructure, Global SRE, and your product area engineering teams to establish and continually refine your reliability roadmap. Participate in defining, evolving, and managing SLOs for several teams within your product area. Participate in on-call rotations within your product area to understand operations workload so you can continually work to improve the on-call experience and reduce operational workload for running microservices and related components. Complete projects to optimize and tune on-call experience for your engineering teams. Continually improve the lifecycle of microservices and architectural components from inception and design, through deployment, operation, and refinement. Write code and automation to reduce operational workload, increase efficiency, improve security posture, eliminate toil, and enable Sumo’s developers to deliver features more rapidly. Work closely with the developer infrastructure teams to expedit

About the Role Adobe is seeking a Machine Learning Engineer to join the Adobe Genuine Engineering team. This group protects Adobe's ecosystem from fraud, abuse, and misuse using intelligent systems worldwide. In this position, you will build and develop machine learning models from scratch, including custom transformer-based frameworks, to identify fraudulent actions, stop account sharing, and protect the experience of hundreds of millions of users. You will manage the entire model lifecycle: raw behavioral data and feature engineering, architecture development, large-scale GPU training, deployment, and monitoring. The team is actively building in-house behavioral foundation models that learn identity-preserving representations from long sequences of user activity. This is a role for an engineer who wants to own deep learning systems end-to-end — not consume pre-built ones. Key Responsibilities Build and train deep learning models from scratch, including custom transformer and attention-based architectures for long behavioral event sequences. Own the full training stack: event tokenization, temporal and positional embeddings, self-supervised pretraining (e.g., masked modeling, contrastive learning), and downstream fine-tuning. Train large models efficiently on GPU infrastructure using mixed-precision training, gradient accumulation/checkpointing, efficient attention, and distributed strategies (DDP, FSDP, or equivalent). Build and optimize feature pipelines on Databricks and Spark, transforming raw behavioral events into high-quality model inputs. Translate prototypes into production ML systems — scalable, reliable, and observable — and drive inference performance through architectural and serving-side optimization. Contribute to MLOps practices: experiment tracking, model versioning, CI/CD, automated retraining, and

About the Role Adobe is seeking a Machine Learning Engineer to join the Adobe Genuine Engineering team. This group protects Adobe's ecosystem from fraud, abuse, and misuse using intelligent systems worldwide. In this position, you will build and develop machine learning models from scratch, including custom transformer-based frameworks, to identify fraudulent actions, stop account sharing, and protect the experience of hundreds of millions of users. You will manage the entire model lifecycle: raw behavioral data and feature engineering, architecture development, large-scale GPU training, deployment, and monitoring. The team is actively building in-house behavioral foundation models that learn identity-preserving representations from long sequences of user activity. This is a role for an engineer who wants to own deep learning systems end-to-end — not consume pre-built ones. Key Responsibilities Build and train deep learning models from scratch, including custom transformer and attention-based architectures for long behavioral event sequences. Own the full training stack: event tokenization, temporal and positional embeddings, self-supervised pretraining (e.g., masked modeling, contrastive learning), and downstream fine-tuning. Train large models efficiently on GPU infrastructure using mixed-precision training, gradient accumulation/checkpointing, efficient attention, and distributed strategies (DDP, FSDP, or equivalent). Build and optimize feature pipelines on Databricks and Spark, transforming raw behavioral events into high-quality model inputs. Translate prototypes into production ML systems — scalable, reliable, and observable — and drive inference performance through architectural and serving-side optimization. Contribute to MLOps practices: experiment tracking, model versioning, CI/CD, automated retraining, and

Key Responsibilities ● Conceptualizing and creating standout designs for social media, digital campaigns, websites, presentations, events, and offline collateral ● Turning marketing briefs into sharp, on-brief visual communication across formats ● Keeping a finger on the pulse of social trends, topical moments, and emerging visual styles before they're mainstream ● Partnering closely with marketing, content, social, and business teams to bring creative ideas to life ● Owning brand consistency and visual identity across every asset you touch ● Juggling multiple projects and priorities without dropping the ball on timelines or quality ● Staying curious about design trends, AI advancements, and what's next in creative tech Required Skills and Experience ● 4–5 years of graphic design experience, ideally from an agency or an in-house design/marketing team ● Solid grip on branding, typography, layout, colour theory, and visual storytelling ● Experience designing for both digital campaigns and offline/print communication ● Comfort with Figma, Canva, and presentation-design tools ● Real, hands-on experience with AI creative tools ● A strong portfolio of social-first design work that shows you understand platforms, not just aesthetics ● Sharp attention to detail, strong time management, and a cool head under fast-paced deadlines ● Great communication skills and the ability to collaborate across teams

We’re Hiring 3–4 Marketing Associates 🎯 This is a great opportunity to join a fast-growing global team and build your career in digital marketing. About WIN 🌎 WIN is the #1 ranked company in our industry in the US and also the fastest growing. We work with both consumers and businesses, giving you exposure across the full spectrum of marketing: SEO, social, paid ads, content, and more. About the Role Do you wonder how Google decides which brands show up first, why YouTube ads stay stuck in your head, or why some Instagram Reels go viral? If you’re curious about these things and love exploring new marketing trends, this role could be a great fit. We are hiring junior marketers who may not know it all yet, but who are: Honest, reliable, and disciplined Excited to learn by doing from senior mentors Self-starters who research first instead of waiting for instructions If you have 2+ years of professional experience after graduation, are passionate about marketing, and eager to grow your career, you’ll thrive here. What You’ll Do Contribute to real marketing projects by improving franchisee online presence, making updates, and supporting campaigns so they perform better Support initiatives across SEO, social, paid ads, and content with detail and consistency Research marketing trends, test ideas, and apply learnings to live projects Assist with reporting, dashboards, and quality checks Learn directly from senior marketers while being accountable for your own deliverables What We Value Most ❤️ Integrity and honesty in everything you do Work ethic and discipline to finish tasks on time, even when remote Curiosity to keep researching, testing, and asking why Clear, respectful, and professional communication with teammates Bonus Points If You Have Experience in any of SEO, social media, paid ads, content, or analytics Familiarity with tools like Canva, Google Analytics, or Meta Ads Strong written communication skills and attention t

About Us: Paytm is India's leading mobile payments and financial services distribution company. Pioneer of the mobile QR payments revolution in India, Paytm builds technologies that help small businesses with payments and commerce. Paytm’s mission is to serve half a billion Indians and bring them to the mainstream economy with the help of technology. Job Summary: We are seeking a highly motivated and skilled Akamai CDN & WAF Engineer with 2-5 years of hands-on experience in configuring, deploying, and managing Akamai's Content Delivery Network (CDN) and Web Application Firewall (WAF) solutions. The ideal candidate will possess a strong understanding of web performance optimization, security best practices, and have a proven track record of implementing and troubleshooting Akamai services in a production environment. This role requires a proactive individual with excellent problem-solving skills and the ability to collaborate effectively with cross-functional teams. Responsibilities: Configuration and Deployment: Configure and deploy Akamai CDN services (e.g., Domain onboarding, delivery rules, caching policies, origin configurations) and WAF rulesets (e.g., security policies, custom rules, DOS and client reputation) based on application requirements and security guidelines. Production Support: Provide day-to-day operational support for Akamai CDN and WAF infrastructure, including monitoring performance, identifying and resolving issues, and implementing necessary changes. Performance Optimization: Analyze website performance metrics and implement Akamai CDN features and configurations to optimize website speed, reduce latency, and improve user experience. Security Implementation: Implement and manage Akamai WAF policies to protect web applications from various security threats, including OWASP Top 10 vulnerabilities, bot attacks, and DDoS attacks. Rule Management: Create, review, and maintain custom WAF rules and exceptions based on application-specific ne