Engineering Senior Customer Forward Deployed Engineer in Noida

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: 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

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

Staff Software Engineer - Testing & Automation Exceptional software engineering is challenging. Amplifying it to ensure that multiple teams can concurrently create and manage a vast, intricate product escalates the complexity. As a Staff Engineer within the Verification Platform team at Sumo Logic, you will drive the implementation and optimization for our verification platform as well as the modernization of our CI/CD pipelines. Your mission is to develop and sustain automated tooling for all testing, verification, and functional requirements, leveraging AI reasoning and machine learning models to predict and prevent delivery issues, while integrating advanced security validation and non-functional requirements into our delivery lifecycle. You will contribute significantly to establishing automated delivery pipelines, empowering autonomous teams to create independently deployable services, and progressing Sumo Logic’s internal Platform-as-a-Service. This role sits at the intersection of Platform Engineering, Quality Engineering, DevSecOps, and Developer Productivity, helping teams deliver secure, reliable, and independently deployable services at scale. Responsibilities Strategy & Leadership: Drive technical direction and design for a modern Quality Engineering platform, driving the adoption of AI reasoning for enhanced automation of all testing, verification, and functional requirements. Pipeline Modernization: Lead the modernization of CI/CD pipelines to include automated security validation, compliance checks, and other critical non-functional requirements, with a focus on integrating AI/ML for intelligent pipeline optimization and risk prediction. Framework Ownership: Own the delivery pipeline and release automation framework for all Sumo services, ensuring improvements in developer productivity, deployment frequency, and release reliability. Cross-Team Collaboration: Educate and collaborate with teams during design and development phases to ensur

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

ABOUT THE UI DESIGNER ROLE: WIN is looking for a talented UI Designers to create modern, intuitive, and visually compelling digital experiences across our web and mobile products. You will work closely with Marketing, UX, Product, and Engineering teams to transform concepts, user flows, and product requirements into polished, functional interfaces. We are looking for someone who combines strong visual design fundamentals with curiosity and speed. You should enjoy experimenting with new ideas, embracing emerging design technologies, and using AI-powered tools to explore design directions, generate references, rapidly prototype concepts, and iterate faster. As we continue to build AI-enabled products and experiences, you will play an important role in defining how those experiences look, feel, and come to life for our users. KEY RESPONSIBILITIES: Design intuitive, visually compelling, and high-quality user interfaces for web and mobile products. Translate UX wireframes, user flows, product requirements, and concepts into polished UI designs and interactive prototypes. Create UI mockups, layouts, components, visual concepts, and prototypes that clearly communicate the intended product experience. Use AI-powered tools to generate design references, explore multiple creative directions, rapidly prototype ideas, and accelerate design iterations. Collaborate closely with UX Designers, Product Managers, and Engineers to take ideas from concept to production. Build and evolve reusable components, design systems, visual guidelines, and UI patterns to ensure consistency across products. Apply strong visual design principles across typography, hierarchy, spacing, color, imagery, and interaction states. Iterate rapidly based on product feedback, user insights, data, and technical considerations. Stay curious about emerging UI trends, AI tools, design technologies, and interaction patterns, and identify opportunities to incorporate them into our products. Maintain high standards

About Us: Paytm is India’s leading mobile payments and financial services distribution company. A pioneer of the mobile QR payments revolution, Paytm builds technology that enables small businesses and consumers to participate in the digital economy. Our mission is to serve half a billion Indians and bring them into the mainstream economy through technology. About the Role: We are looking for a strategic and hands-on Growth & CLM Leader to own growth for the Paytm for Business app across activation, engagement, retention and winback, with a strong focus on service/product journeys. The role will build a data-led growth engine through analytics, experimentation, lifecycle marketing and AI/agentic automation, while leading a high-performing Growth & CLM team. Key Responsibilities: -Own app growth across activation, engagement, retention, monetization and winback. Drive growth for key service/product journeys and optimize critical user funnels. -Build and scale CLM programs across onboarding, activation, engagement, retention and reactivation. -Drive experimentation, A/B testing, personalization and funnel optimization. -Leverage AI/GenAI and agentic capabilities to automate and improve growth and CLM. -Use customer data, cohorts and analytics to identify growth opportunities and measure impact. -Partner with Product, Engineering, Analytics, Marketing, Business and Operations teams to deliver growth charters. -Lead and mentor Growth Managers and CLM execution teams. -Establish strong growth metrics, dashboards and operating rhythms. What We’re Looking For: -10+ years of experience in Growth, Product, CLM, Consumer Internet or Fintech. -Experience in Tier-1 product/consumer internet/fintech companies; Tier-1 institute preferred. -Proven track record of driving app growth and lifecycle marketing at scale. -Strong understanding of growth funnels, retention, engagement, experimentation and CLM. -Hands-on experience with AI/GenAI/Agentic capabilities for growth automa