Ai Market And Competitive Intelligence Analyst in Pune

Who We Are Addepar is a global data and AI platform empowering investment professionals to turn complex financial information into actionable intelligence. Addepar unifies portfolio, market and client data in a total portfolio view and delivers AI-powered insights within investment and client workflows. More than 1,400 firms in nearly 60 countries use Addepar to manage and advise on nearly $9 trillion in assets. Its open platform integrates with nearly 650 software, data and consulting partners to power end-to-end investment operations across firms of all sizes and complexity. Addepar supports clients worldwide with offices in New York City, Salt Lake City, London, Edinburgh, Pune, Dubai, Geneva, Singapore and São Paulo. The Role We are currently seeking a software engineering manager to join the Alternatives Data Management (ADM) team. Our team is building AI-powered data products and workflow solutions that unlock transparency, efficiency, and insight in private market investments. You’ll lead a full-stack team of engineers and collaborate closely with Product and Design to deliver client-facing features that will set us apart from our competitors. Applicants must have legal authorization to work in the country where this role is based on the first day of employment. Visa sponsorship is not available for this position. What You’ll Do Manage a small team of frontend and backend engineers that will grow as you do Own technical design and implementation for some of your projects to set a good example for the ICs Work with platform teams to deliver features with consistent capabilities Drive the career growth of your direct reports Stay up to date on industry trends, such as AI tooling, that can make the team more effective Collaborate with ADM engineering and product leads in the US, UK and India to drive team-wide process improvements and best practices Who you are B

Who We Are Addepar is a global data and AI platform empowering investment professionals to turn complex financial information into actionable intelligence. Addepar unifies portfolio, market and client data in a total portfolio view and delivers AI-powered insights within investment and client workflows. More than 1,400 firms in nearly 60 countries use Addepar to manage and advise on nearly $9 trillion in assets. Its open platform integrates with nearly 650 software, data and consulting partners to power end-to-end investment operations across firms of all sizes and complexity. Addepar supports clients worldwide with offices in New York City, Salt Lake City, London, Edinburgh, Pune, Dubai, Geneva, Singapore and São Paulo. The Role As a Field Engineer, Team Lead you will serve as a player-coach — guiding a team of field engineers while personally executing the most complex, mission-critical technical work yourself. Operating at the intersection of engineering and client success, you are both the technical anchor for your team and Addepar's technical vanguard in the field, translating complex business requirements into production-grade integrations, automations, and data solutions. You will be the technical expert across Addepar's full solution suite — from API integrations and automation frameworks to advanced data platforms (including our white-labeled Databricks offering, ADX) and AI-driven tooling. At the same time, you will develop your people-management skills: providing daily guidance, coordinating work allocation, and turning the vision set by leadership into reality while keeping your team aligned to our core processes. This role combines a forward-deployed delivery model with hands-on technical depth and functional leadership of a high-performing engineering team. Applicants must have legal authorization to work in the country where this role is based on the first day of employment. Visa sponsorship is not available for this position. Important Note: Th

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Manager, Product Development - EMV and Payment Technology Overview Mastercard delivers robust, high quality, and fully approved technology products that enable issuers, acquirers, and partners to bring secure and innovative payment solutions to market. Within the Chip Engineering organization, the Product Approval Team plays a critical role in ensuring that these products—ranging from cardholder and acceptance devices to Wallet UIs, mobile applications, and back end systems—meet Mastercard standards and are delivered on time. This role provides the opportunity to work globally across a wide spectrum of products, including device-based solutions, wearables, mobile payment applications, cloud based payment systems, transit solutions, and backend services. ________________________________________ Major Responsibilities Operational Management • Lead and manage operations related to Mobile Payment Applications, Wallet UI, Wearables, and Back-End Server Approvals. • Ensure full compliance with Mastercard testing, branding, approval processes, and operational rules. • Oversee the execution of global approval processes and associated requirements for: o Wallet UI and Wearables o Merchant Presented QR (MPQR) o Cloud-Based Payments (MCBP) o Token Service Providers (TSP) o Trusted Service Mana

About Forma.ai: Forma.ai is a Series B startup that's revolutionizing how sales compensation is designed, managed and optimized. We handle billions in annual managed commissions for market leaders like Edmentum, Stryker, and Autodesk. Our growth has been fuelled by our passion for fundamentally changing and shaping how companies use sales intelligence to drive business strategy. We’re welcoming equally driven individuals who are excited about creating something big! About the team: The Customer Operations team is at the heart of Forma.ai's mission. This team has a direct impact on the growth of Forma.ai. They are results-driven and solutions-minded. The Customer Operations team works closely with our customers, helping them to understand and take advantage of all the features Forma.ai offers and ensuring that they get the most value from the platform. What you'll be doing: Reporting to the Senior Manager of Customer Operations, the Incentive Compensation Associate (known internally as Customer Operations Associate) will be contributing in the following areas: Own the ongoing operations for a portfolio of customers (i.e., rule building, process execution, reporting and dashboarding, and product support) Create automated reporting (financial, sales performance, incentive compensation) for customers to support process automation and improve business visibility Support design projects including analysis, financial modelling, project planning, customer workshops, and presentation/recommendation of findings Identify potential opportunities for process improvement in client processes (e.g., process execution, data validation, dashboard updates). Explore new techniques, working models to improve design and improve processes. Implement new Forma.ai platform features within your customer portfolio to support continuous improvement and automation Build strong working relationships with key customer stakeholders, ens

About Forma.ai: Forma.ai is a Series B startup that's revolutionizing how sales compensation is designed, managed and optimized. We handle billions in annual managed commissions for market leaders like Edmentum, Stryker, and Autodesk. Our growth has been fuelled by our passion for fundamentally changing and shaping how companies use sales intelligence to drive business strategy. We’re welcoming equally driven individuals who are excited about creating something big! About the team: The Customer Operations team is at the heart of Forma.ai's mission in optimizing incentive compensation plans for all companies . They wo rk directly with our customers in helping them understand and take advantage of all the sales compensation features Forma.ai offers . F rom streamlining administration and management of sales commission to designing your sales compensation plan , o ur Customer Operations team ensur es customers get the most value from our platform in optimizing every dollar spent on sales compensation. What you'll be doing: Reporting to the Senior Manager of Customer Operations, the Incentive Analytics Manager will contribute in the following areas: Develop a strong understanding of the Forma.ai product and platform to establish yourself as a product expert Lead the ongoing operations for a portfolio of customers (i.e., commissions rule building, process execution, reporting and dashboarding, and overall product support) Implement new Forma.ai platform features within your customer portfolio to support continuous improvement and automation Identify potential opportunities for process improvement in client processes (e.g., process execution, data validation, dashboard updates). Explore new techniques, working models to improve design and improve processes Lead design projects, including analysis, financial modelling, project planning, customer workshops, and presentation/recommendation of findings

About Forma.ai: Forma.ai is a Series B startup that's revolutionizing how sales compensation is designed, managed and optimized. We handle billions in annual managed commissions for market leaders like Edmentum, Stryker, and Autodesk. Our growth has been fuelled by our passion for fundamentally changing and shaping how companies use sales intelligence to drive business strategy. We’re welcoming equally driven individuals who are excited about creating something big! About the team: The Customer Operations team is at the heart of Forma.ai's mission. This team has a direct impact on the growth of Forma.ai. They are results-driven and solutions-minded. The Customer Operations team works closely with our customers, helping them to understand and take advantage of all the features Forma.ai offers and ensuring that they get the most value from the platform. What you'll be doing: Reporting & Dashboarding Design, maintain, and enhance dashboards in BI tools (e.g., Looker Studio, Salesforce/HubSpot reports) to monitor marketing campaign performance, sales pipeline health, lead flow, and conversion metrics Automate recurring reports and implement self-serve analytics capabilities for GTM teams Data Analysis & Insights Analyze funnel performance from top-of-funnel marketing campaigns to bottom-of-funnel sales outcomes Provide regular insights into key KPI s like campaign ROI, customer acquisition cost (CAC), and attribution across channels Support A/B testing initiatives, sales activity analysis, and segmentation strategies Scripting & Automation Write Python and SQL scripts to extract, clean, and structure data from external sources (e.g., job boards, press releases, M&A feeds, web scraping APIs ) Build automated enrichment pipelines to augment CRM and marketing data with third-party insights (e.g., firmographics, hiring activity, technology stack, fun

About Forma.ai: Forma.ai is a Series B startup that's revolutionizing how sales compensation is designed, managed and optimized. We handle billions in annual managed commissions for market leaders like Edmentum, Stryker, and Autodesk. Our growth has been fuelled by our passion for fundamentally changing and shaping how companies use sales intelligence to drive business strategy. We’re welcoming equally driven individuals who are excited about creating something big! About the Team: The Customer Operations team works closely with new and existing customers by implementing product features, managing the operational parts of the platform, and optimizing our client’s sales performance management processes. We are always ready to support and help our customers to identify ways they can unleash the revenue-driving potential of their sales compensation program. If you’re passionate about data analytics and want to contribute to sales operations, we’d love to hear from you! What you’ll be doing: • Work with new and existing customers to implement the company's new platform features as well as manage and optimize client processes • Learn the architecture and design of the company's platform to the extent of being able to independently complete updates, enhancements, and change requests • Lead onboarding & activities, including requirements gathering for incentive compensation plan rules, data analysis, and quality control • Assist the ongoing operations for a portfolio of existing customers and implement new features (i.e. rule building, process execution, reporting and dashboarding, and product support) • Scope, build and test automated workflows, processes and reporting capabilities to support automation of incentive compensation processes and improve business visibility • Support design projects including analysis, financial modelling, project planning, customer workshops

SonicWall is a cybersecurity forerunner with more than 30 years of expertise and is recognized as a leading partner-first company, ensuring our partners and their customers are never alone in the fight against cybercrime. With the ability to build, scale and manage security across the cloud, hybrid and traditional environments in real-time, SonicWall provides relentless security against the most evasive cyberattacks across endless exposure points for increasingly remote, mobile and cloud-enabled users. With its own threat research center, SonicWall can quickly and economically provide purpose-built security solutions to enable any organization—enterprise, government agencies and SMBs—around the world. For more information, visit www.sonicwall.com or follow us on Twitter , LinkedIn , Facebook and Instagram . Senior Technical Program Manager – Software & Hardware What You’ll Do The Senior Technical Program Manager will work with globally distributed cross-functional teams of Product Management, Software, Hardware, QA, Sales, Marketing, and others to plan, execute, and launch new SonicWall software and network security products. You are responsible for managing the product lifecycle from concept to market launch while maintaining program schedules, budget, scope, and quality. This includes working with external labs and internal teams to achieve regulatory and other government/security certifications. This position reports to the Director of Program Management and is located in Pune, India. Who You Are You are an authority in the development and manufacturing of cybersecurity software and hardware appliances in the network security field. You are a leader who steers a cross functional team to achieve a common set of goals. You possess: Strong program management skills in the definition, planning, executi

Job Overview: We are seeking an experienced Azure Cloud Application Architect to design and implement enterprise-grade, cloud-native solutions using Azure services. This role involves defining best practices for architecture, governance, security, and cost optimization while enabling CI/CD and Infrastructure as Code. You will provide technical leadership, mentor teams, and act as a trusted advisor to clients, driving modernization, migration, and innovation initiatives. The position also includes pre-sales and post-sales engagement, building strategic partnerships, and contributing to thought leadership through white papers and presentations. Experience : 10+ years Key Responsibilities: Design and implement cloud-native application architectures using Azure services (App Services, AKS, Functions, Service Bus, etc.). Collaborate with stakeholders to translate business requirements into technical solutions. Establish governance, cost optimization, and security best practices for Azure applications. Work closely with DevOps teams to enable CI/CD pipelines and infrastructure as code (IaC). Provide technical leadership, mentoring, and guidance to development teams. Define and implement best practices architecture design, deployment, and operations. Design highly available, scalable, and cost-effective cloud solutions meeting business requirements. Collaborate with cross-functional teams, including DevOps, development, and business units, to align cloud solutions with organizational goals. Analyse complex technical issues, provide recommendations, and lead the resolution efforts for cloud-related challenges. Build capabilities, offerings, service accelerators and differentiators. Build a go-to-market strategy that highlights our cloud offerings that best support our customers' challenges. Innovation and Thought leadership, bringing out white papers, blogs, presentations, and collaterals. Responsible for delivering solutions archi

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. As an Insurance Senior Specialist, you will serve as the subject matter expert for Zocdoc's insurance taxonomy and related systems. You will own the policies, processes, and quality standards that ensure our insurance data is accurate, scalable, and aligned with product strategy. This role combines deep expertise in the U.S. health insurance landscape with strong analytical thinking to improve the patient search experience and strengthen the integrity of our insurance database. You will partner closely with Product, Operations, and Engineering teams to define insurance policies, monitor database health, and drive continuous improvements. Your work will directly influence how patients find in-network care by ensuring that our insurance taxonomies, carrier and plan coverage, and provider matching systems remain accurate, scalable, and responsive to changes in the healthcare market. A Day in the Life of a Product Operations Specialist: Define Insurance Policies & Standards: Own the policies governing insurance carriers and plans across the Zocdoc marketpl

We are expanding our agentic AI capability and are looking for an AI Engineer to join the team. You will work alongside senior engineers to build and maintain AI systems — contributing to agentic pipelines, retrieval infrastructure, and the integrations that tie these systems together. This is a hands-on implementation role with real ownership of components. You will grow your skills in a fast-moving AI practice, working on production systems that directly affect client outcomes. What This Involves: Build and maintain agentic pipelines and workflows under the guidance of senior engineers: tool use, orchestration, and multi-step reasoning. Implement and tune RAG pipelines — including embedding, chunking strategies, vector retrieval, and retrieval evaluation. Contribute to memory and context layer components: integrating vector databases, supporting knowledge graph pipelines, and helping maintain state management across agentic systems. Write clean, well-tested Python code and participate in code reviews. Debug and improve existing AI systems based on evaluation results and production feedback. Collaborate with data engineers and domain experts to integrate AI components with upstream data sources and downstream applications. Document implementations clearly and contribute to shared internal tooling. Requirements: 2–4 years of software or ML engineering experience, with at least 1 year working with LLMs or AI systems in a professional setting. Working knowledge of LLM APIs (OpenAI, Anthropic, or similar) and at least one agentic or RAG framework (LangChain, LlamaIndex, or equivalent). Solid Python skills and comfort with software engineering basics: version control, testing, REST APIs. Familiarity with vector databases or embedding-based search. Curiosity about agentic AI — you follow developments in the space and are eager to apply new techniques. Excellent communication and collaboration skills — comfortable working across cross-functional and client-facing te

NVIDIA pioneers computer graphics, gaming, AI, and accelerated computing. We are looking for a Technical Platform Operations Lead to join our team and play an important role in scaling Sales AI applications and platforms. This position offers the opportunity to shape how these solutions operate after launch and help ensure they remain reliable, secure, well governed, widely adopted, and continuously improved. You will collaborate with Sales, Product, Engineering, Data, Security, and IT teams to strengthen platform health, improve the user experience, and increase business impact. What you’ll be doing: Lead end-to-end post-launch operations for Sales AI applications, including availability, performance, support readiness, releases, upgrades, and lifecycle planning. Develop effective processes for incident response, problem management, changes, and issue resolution. Coordinate timely recovery and lasting improvements. Analyze service-level indicators and objectives, adoption metrics, dashboards, alerts, and user feedback to identify risks, performance degradation, and usage gaps. Collaborate with partner teams to translate operational signals and user needs into prioritized improvements and roadmap inputs. Improve adoption and business value through usage analytics, enablement, feedback loops, and user experience enhancements. Establish governance practices for security, access controls, compliance, documentation, and platform support. Develop automation, observability, and self-service capabilities that simplify operations and reduce repetitive work and recurring incidents. Prepare new AI capabilities and releases for production with runbooks, monitoring, rollback plans, support models, and partner enablement. What we need to see: 8+ years of experience in technical operations, pl

Overview: We are looking for a Senior Data Engineer with deep expertise in Lakehouse architecture, real-time data streaming, cloud data infrastructure, and microservices development on Azure Kubernetes Service (AKS). You will play a central role in designing and delivering next-generation data pipelines, BI solutions, AI/ML platforms, streaming APIs, and scalable microservices that power Guidepoint's research and analytics products. This is a high-impact, hands-on engineering role. You will work closely with data architects, data scientists, analysts, frontend engineers, QA, and DevOps teams to translate complex business requirements into scalable, reliable, and observable data systems. This is a Hybrid role from our Pune office. What You'll Do: Data Engineering & Lakehouse Design, build, and maintain ETL pipelines, data ingestion workflows, and table schemas on Azure Databricks to support BI, analytics, and AI/ML use cases Architect and optimize the Lakehouse using Delta Lake on Databricks, ensuring reliability, performance, and cost efficiency Build and support data pipelines from business applications such as Salesforce, NetSuite, and other enterprise systems Develop and maintain Knowledge Graph models, entity relationship structures, and NLP-based insight pipelines Maintain data governance, data privacy standards, and compliance best practices throughout the data lifecycle Perform root cause analysis on data and processes to identify opportunities for improvement Collaborate with data architects, scientists, and business consumers to populate and optimize the data warehouse for reporting and analytics Microservices & AKS Development Develop and support scalable web APIs and microservices using Python and Azure Platform Services Build new applications, services, and platforms; optimize existing solutions and refactor legacy components using modern, scalable architec

SonicWall is a cybersecurity forerunner with more than 30 years of expertise and is recognized as a leading partner-first company, ensuring our partners and their customers are never alone in the fight against cybercrime. With the ability to build, scale and manage security across the cloud, hybrid and traditional environments in real-time, SonicWall provides relentless security against the most evasive cyberattacks across endless exposure points for increasingly remote, mobile and cloud-enabled users. With its own threat research center, SonicWall can quickly and economically provide purpose-built security solutions to enable any organization—enterprise, government agencies and SMBs—around the world. For more information, visit www.sonicwall.com or follow us on Twitter , LinkedIn , Facebook and Instagram . Role Overview As our lead AI/ML Engineer , you will design, build, and scale the intelligence layer powering our next-generation security products. You will turn complex datasets—including configurations, security alerts, and raw network logs—into production-ready AI capabilities that drive automated analysis, reasoning, and intelligent recommendations. Key Responsibilities Architect AI Systems: Design and deploy robust Retrieval-Augmented Generation (RAG) pipelines, agentic workflows, and LLM applications tailored to parse and reason over security telemetry and unstructured logs. Model Development & Tuning : Train, fine-tune, and evaluate ML/DL models for pattern matching, anomaly detection, and classification across massive, heterogeneous security datasets. Ensure AI Trust & Alignment : Implement strict guardrails, evaluation frameworks, and safety alignment techniques to ensure all model outputs and recommendations are deterministic, safe, and highly accurate. Establish MLOps: Build and maintain scalable ML pipelines (from data preprocessing to model monitoring in production), collaborati

NVIDIA pioneers computer graphics, gaming, AI, and accelerated computing. We are looking for a Senior Solution Architect with full-stack software engineering experience to join our team and play an important role in developing Sales AI applications. This position offers the opportunity to design, build, and evolve solutions that bring generative AI and intelligent workflows into everyday sales experiences. You will work across the application stack and collaborate with Product, AI and machine learning, Data, Security, Solution Architecture, and Engineering teams to deliver secure, reliable, and scalable solutions used globally. What you’ll be doing: Collaborate with application teams to design, develop, and maintain scalable full-stack solutions for enterprise sales workflows. Guide technical solutions across front-end, back-end, APIs, data services, integrations, and cloud infrastructure. Translate product requirements and business needs into secure, maintainable solutions and intuitive user experiences. Integrate generative AI models, AI services, APIs, retrieval systems, and agentic workflows into production applications. Design application architectures that support performance, availability, observability, security, scalability, and long-term maintainability. Lead technical design discussions, compare implementation approaches, make informed architecture decisions, and evaluate emerging technologies. Improve engineering practices for testing, code quality, continuous integration and delivery, monitoring, documentation, and production readiness. Investigate complex issues and develop solutions that improve reliability and user experience. Mentor engineers, share technical knowledge, and contribute to engineering standards and collaborative team practices. What we need to see: <