Customer Performance Lead in India

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. Manager, Software Development Are you an elite technical leader who thrives as a hands-on contributor while simultaneously coaching, mentoring, and scaling a high-performance software engineering team? At Appian, engineering managers don’t just oversee. They build, shape, and grow the people and technology that power AI automation for the world’s largest enterprises and governments. Location: Chennai, India | Work Model: On-site (5 days/week) About the Team Our Engineering team is revolutionizing how Appian resolves customer issues by building AI-powered diagnostic tools and internal platforms that dramatically reduce resolution time. We combine deep technical expertise with AI innovation to empower support engineers to identify root causes faster, ensuring our customers experience uninterrupted business-critical operations. This team operates with high autonomy and directly impacts customer satisfaction and retention across Appian's enterprise client base The Opportunity Appian is at an inflection point where intelligent automation meets customer success, and we need a technical leader who can architect and ship the next generation of diagnostic platforms. This role exists because our growing enterprise customer base demands faster, smarter issue resolution, and AI agents are the key to unlocking that scale. You will shape both the technical direction and the team culture while delivering tools that become essential to how Appian supports thousands of mission-critical deployments worldwide. What You’ll Do Lead the design and delivery of a scalable

Job Title Project Manager – CAPA & Complaints Job Description Project Manager – CAPA & Complaints Your Role: Coordinate teams across Quality, R&D, Engineering, Manufacturing, Operations, Supply Chain, Procurement, Regulatory, Service and Customer Quality. Identify recurring CAPA themes and opportunities for systemic improvement. Coordinate implementation of corrective/preventive actions, including process, product, system and documentation changes. Maintain CAPA dashboards and management reporting. Drive accountability across CAPA action owners. Own and track business KPIs related to complaint and investigation timelines, quality, and throughput. Provide regular KPI, progress, and risk updates to leadership and key stakeholders. Drive timely closure of complaints and investigations through structured follow-up with action owners. You're the Right Fit If: Bachelor's or Master's degree in Mechanical/Electronics Engineering Experience: 10+ years in Project Management , preferably with CAPA and Complaints Handling in Medical Devices. Strong knowledge of Quality Management Systems and risk-management principles. Skills : Strong data analytics skills with the ability to derive insights from operational and performance data. Excellent stakeholder management and communication skills across multiple organizational levels. Strong presentation and reporting capabilities, including development of executive-level dashboards and updates. Proven ability to drive accountability and coordinate cross-functional teams without direct authority. Experience in process improvement, operational excellence, and AI

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 Join the high-growth FlashBlade team as a foundational engineering leader building our next-generation, scale-out all-flash file and object storage platform. In this role, you will architect, design, and deliver high-performance distributed systems optimized for modern, data-intensive workloads like AI, log analytics, and cluster computing. You will own critical technological roadmaps end-to-end, directly influencing our core architecture while mentoring top-tier talent. Partnering closely with Product Management, System Validation, and Customer Support, your mission is to drive scalable innovation that redefines enterprise data storage and delivers six-nines reliability to our global customers. WHAT YOU'LL DO Drive End-to-End System Architecture: Lead the architectural evolution and end-to-end delivery of high-performance, resilient storage systems from initial design concepts to high-quality shipped products. Optimize for Modern Data Workloads: Design and implement robust algorithms and concurrent platform solutions engineered for modern data pipelines, AI infrastructure, distributed computing, and enterprise analytics. Resolve Complex System Engineering Challenges: Apply deep root-cause analysis and system-level insight to solve multi-threaded, high-concurrency performance and reliability issues across Linux platform internals. Cross-Functional Ownership & Leadership: Collaborate across product management,

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 Join the high-growth FlashBlade team as a foundational engineering leader building our next-generation, scale-out all-flash file and object storage platform. In this role, you will architect, design, and deliver high-performance distributed systems optimized for modern, data-intensive workloads like AI, log analytics, and cluster computing. You will own critical technological roadmaps end-to-end, directly influencing our core architecture while mentoring top-tier talent. Partnering closely with Product Management, System Validation, and Customer Support, your mission is to drive scalable innovation that redefines enterprise data storage and delivers six-nines reliability to our global customers. WHAT YOU'LL DO Drive End-to-End System Architecture: Lead the architectural evolution and end-to-end delivery of high-performance, resilient storage systems from initial design concepts to high-quality shipped products. Optimize for Modern Data Workloads: Design and implement robust algorithms and concurrent platform solutions engineered for modern data pipelines, AI infrastructure, distributed computing, and enterprise analytics. Resolve Complex System Engineering Challenges: Apply deep root-cause analysis and system-level insight to solve multi-threaded, high-concurrency performance and reliability issues across Linux platform internals. Cross-Functional Ownership & Leadership: Collaborate across product management,

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 Join the high-growth FlashBlade team as a foundational engineering leader building our next-generation, scale-out all-flash file and object storage platform. In this role, you will architect, design, and deliver high-performance distributed systems optimized for modern, data-intensive workloads like AI, log analytics, and cluster computing. You will own critical technological roadmaps end-to-end, directly influencing our core architecture while mentoring top-tier talent. Partnering closely with Product Management, System Validation, and Customer Support, your mission is to drive scalable innovation that redefines enterprise data storage and delivers six-nines reliability to our global customers. WHAT YOU'LL DO Drive End-to-End System Architecture: Lead the architectural evolution and end-to-end delivery of high-performance, resilient storage systems from initial design concepts to high-quality shipped products. Optimize for Modern Data Workloads: Design and implement robust algorithms and concurrent platform solutions engineered for modern data pipelines, AI infrastructure, distributed computing, and enterprise analytics. Resolve Complex System Engineering Challenges: Apply deep root-cause analysis and system-level insight to solve multi-threaded, high-concurrency performance and reliability issues across Linux platform internals. Cross-Functional Ownership & Leadership: Collaborate across product management,

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 Join the high-growth FlashBlade team as a foundational engineering leader building our next-generation, scale-out all-flash file and object storage platform. In this role, you will architect, design, and deliver high-performance distributed systems optimized for modern, data-intensive workloads like AI, log analytics, and cluster computing. You will own critical technological roadmaps end-to-end, directly influencing our core architecture while mentoring top-tier talent. Partnering closely with Product Management, System Validation, and Customer Support, your mission is to drive scalable innovation that redefines enterprise data storage and delivers six-nines reliability to our global customers. WHAT YOU'LL DO Drive End-to-End System Architecture: Lead the architectural evolution and end-to-end delivery of high-performance, resilient storage systems from initial design concepts to high-quality shipped products. Optimize for Modern Data Workloads: Design and implement robust algorithms and concurrent platform solutions engineered for modern data pipelines, AI infrastructure, distributed computing, and enterprise analytics. Resolve Complex System Engineering Challenges: Apply deep root-cause analysis and system-level insight to solve multi-threaded, high-concurrency performance and reliability issues across Linux platform internals. Cross-Functional Ownership & Leadership: Collaborate across product management,

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 Join the high-growth FlashBlade team as a foundational engineering leader building our next-generation, scale-out all-flash file and object storage platform. In this role, you will architect, design, and deliver high-performance distributed systems optimized for modern, data-intensive workloads like AI, log analytics, and cluster computing. You will own critical technological roadmaps end-to-end, directly influencing our core architecture while mentoring top-tier talent. Partnering closely with Product Management, System Validation, and Customer Support, your mission is to drive scalable innovation that redefines enterprise data storage and delivers six-nines reliability to our global customers. WHAT YOU'LL DO Drive End-to-End System Architecture: Lead the architectural evolution and end-to-end delivery of high-performance, resilient storage systems from initial design concepts to high-quality shipped products. Optimize for Modern Data Workloads: Design and implement robust algorithms and concurrent platform solutions engineered for modern data pipelines, AI infrastructure, distributed computing, and enterprise analytics. Resolve Complex System Engineering Challenges: Apply deep root-cause analysis and system-level insight to solve multi-threaded, high-concurrency performance and reliability issues across Linux platform internals. Cross-Functional Ownership & Leadership: Collaborate across product management,

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 Drive the mission-critical quality strategy for the industry’s most innovative, high-performance storage array platform. In this pivotal engineering leadership role, you will scale systems testing, feature interoperability, and test automation to ensure zero-downtime resilience for global enterprise applications. Partnering directly with cross-functional development, support, and escalation engineering teams, you will champion a customer-first quality model across physical hardware and cloud-native environments (Cloud Block Store, CloudSnap). This position elevates product reliability and shapes how cutting-edge software resilience is delivered at scale. WHAT YOU'LL DO Define & Execute Quality Strategy: Ownership of end-to-end system test designs, focusing on feature interoperability at scale to guarantee zero-downtime performance across enterprise and cloud environments. Build High-Impact Automation & Tooling: Design and deploy automated test workflows and triage tooling to accelerate defect detection, drastically reducing execution friction across thousands of automated test suites. Real-World Customer Simulation: Replicate complex customer deployment architectures and enterprise application workflows to validate real-world resilience, fault tolerance, and resilience against failure domains. Root-Cause Resolution & Continuous Improvement: Partner directly with escalation and support teams to reproduc

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 Join the high-growth FlashBlade team as a foundational engineering leader building our next-generation, scale-out all-flash file and object storage platform. In this role, you will architect, design, and deliver high-performance distributed systems optimized for modern, data-intensive workloads like AI, log analytics, and cluster computing. You will own critical technological roadmaps end-to-end, directly influencing our core architecture while mentoring top-tier talent. Partnering closely with Product Management, System Validation, and Customer Support, your mission is to drive scalable innovation that redefines enterprise data storage and delivers six-nines reliability to our global customers. WHAT YOU'LL DO Drive End-to-End System Architecture: Lead the architectural evolution and end-to-end delivery of high-performance, resilient storage systems from initial design concepts to high-quality shipped products. Optimize for Modern Data Workloads: Design and implement robust algorithms and concurrent platform solutions engineered for modern data pipelines, AI infrastructure, distributed computing, and enterprise analytics. Resolve Complex System Engineering Challenges: Apply deep root-cause analysis and system-level insight to solve multi-threaded, high-concurrency performance and reliability issues across Linux platform internals. Cross-Functional Ownership & Leadership: Collaborate across product management,

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 Join the high-growth FlashBlade team as a foundational engineering leader building our next-generation, scale-out all-flash file and object storage platform. In this role, you will architect, design, and deliver high-performance distributed systems optimized for modern, data-intensive workloads like AI, log analytics, and cluster computing. You will own critical technological roadmaps end-to-end, directly influencing our core architecture while mentoring top-tier talent. Partnering closely with Product Management, System Validation, and Customer Support, your mission is to drive scalable innovation that redefines enterprise data storage and delivers six-nines reliability to our global customers. WHAT YOU'LL DO Drive End-to-End System Architecture: Lead the architectural evolution and end-to-end delivery of high-performance, resilient storage systems from initial design concepts to high-quality shipped products. Optimize for Modern Data Workloads: Design and implement robust algorithms and concurrent platform solutions engineered for modern data pipelines, AI infrastructure, distributed computing, and enterprise analytics. Resolve Complex System Engineering Challenges: Apply deep root-cause analysis and system-level insight to solve multi-threaded, high-concurrency performance and reliability issues across Linux platform internals. Cross-Functional Ownership & Leadership: Collaborate across product management,

Objectives of this role Developing and executing strategic plans for the assigned product category to drive sales and profitability. Analysing market trends, consumer behaviour and competitor activities in order to identify growth opportunities and market gaps. Collaborating with various teams, like marketing, sales and product development, to identify and implement new products, services and marketing initiatives. Managing product assortment, pricing, promotions and inventory to optimise category performance. Evaluating customer feedback and implementing changes to enhance the overall customer experience and drive customer loyalty. Developing solid relationships with key vendors and suppliers to improve category offerings and negotiate favourable terms. Your tasks Conduct thorough market research and analysis to identify emerging trends, competitive landscape and customer preferences and provide actionable plans. Develop and execute comprehensive category management strategies to achieve business objectives and drive growth. Maintain robust category management tools and processes, ensuring seamless strategy execution across the organisation. Monitor and evaluate category performance, leveraging key performance indicators (KPIs) to identify areas for improvement and implement corrective measures. Lead supplier negotiations, ensuring favourable terms and conditions to drive cost savings and strengthen supplier relationships. Collaborate with marketing teams to develop effective product messaging, positioning and communication strategies. Execute pricing strategies and promotional plans to optimise profitability while considering market dynamics and customer value perception. Stay up-to-date with industry trends, competitor activities and technological advancements to provide recommendations to senior management. Required skills and qualifications SA bachelor’s degree in business, marketing or a related field. 3+ years of experience as a category manager in the

At FourKites we have the opportunity to tackle complex challenges with real-world impacts. Whether it's medical supplies from Cardinal Health or groceries for Walmart, the FourKites platform helps customers operate global supply chains that are efficient, agile and sustainable. Join a team of curious problem solvers that celebrates differences, leads with empathy and values inclusivity. As a Senior Data Scientist, you will build and own machine learning models that power core prediction problems across the FourKites platform — including ETA/ATA forecasting and message-based status extraction. You will work end-to-end, from data pipeline to production deployment and monitoring, turning noisy real-world logistics data into models that run at scale and directly move the needle on customer outcomes. You will work closely with product, engineering, and operations teams, hands-on building and shipping models yourself while also guiding the technical direction of other data scientists on the team. What you'll be doing: Design, build, and productionize ML models for problems like ETA/ATA prediction, using regression, classification, and time-series forecasting techniques Develop NLP/LLM-based extraction pipelines for message-based ETA and status updates (text extraction, entity recognition) Own models end-to-end: data pipeline → training → deployment → monitoring → retraining Work with noisy, real-world logistics and supply chain data (GPS pings, check calls, carrier data) rather than clean, pre-processed datasets Diagnose gaps between offline evaluation performance and live production accuracy, and drive fixes Build and maintain automated training/retraining pipelines using orchestration tools such as Airflow Set up and maintain model monitoring and observability (e.g., Grafana) to catch drift and degradation proactively Replace manual or rule-based processes with ML-driven automation (e.g., automating manual check calls) Translate model performance improvements into busin

Overview: The Institutional Client Growth team member will be responsible for driving growth, client engagement, retention, and account development across the Institutional client segment in India. This individual will serve as the primary relationship manager for key institutional accounts, ensuring proactive engagement, identification of new business opportunities, and delivery of a superior client experience. The role is critical to expanding the firm's presence within institutional clients, increasing wallet share, strengthening client relationships, and driving sustainable revenue growth. The incumbent will work closely with Sales, Research, Client Service, and Leadership teams to maximize account penetration and ensure the voice of the customer is reflected in business decisions. This is a hybrid position out of our Mumbai office. What You’ll Do: Client Relationship Management Manage and develop relationships with institutional clients across Private Equity, Venture Capital, Investment Banking, Corporates, Consulting Firms, and other strategic accounts. Conduct regular client outreach to understand business priorities, gather feedback, and identify opportunities for deeper engagement. Serve as the primary point of contact for key client stakeholders. Build strong executive-level relationships to improve client retention and expansion opportunities. Sales Growth & Revenue Expansion Drive growth across existing institutional accounts through proactive account management. Identify upsell and cross-sell opportunities and partner with sales leadership to convert opportunities into revenue. Develop account growth plans for strategic clients. Monitor account performance and recommend actions to improve client engagement and commercial outcomes. Client Engagement & Coverage Execute a structured client engagement program with high-frequency outreach across active accounts. Increase client coverage and interaction levels significantly above current

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 . Job Title: Distinguished Engineer - Data Architect Role Overview: We are looking for a Distinguished Engineer- Data Architect to design and build the data foundation for our AI-driven security platform. In this role, you will own the architectural blueprint and core implementation of our data strategy, transforming massive streams of high-velocity network traffic logs, customer configurations, and security alerts into high-performance, ML-ready data fabrics. As part of a lean, elite three-person Data & AI team, you will serve as the ultimate technical authority on data scale, streaming architecture, multi-tenant security, and cost-efficient storage systems. Key Responsibilities: Architect the Core Data Platform: Design, implement, and evolve a unified blueprint for streaming and batch data processing capable of ingesting, normalizing, and storing petabyte-scale, high-velocity security telemetry. Enable AI & Advanced Analytics: Partner directly with the Lead AI Engineer to architect the underlying storage, retrieval systems, and feature stores—including optimal vector database structures and data la

AI Software Engineer, Agent Harness Location: Bengaluru, Karnataka (or throughout India remote-friendly with travel) About EnCharge AI EnCharge AI is building the next generation AI platform. Our novel in-memory-computing architecture delivers a 10x step-function improvement in compute energy efficiency and performance for AI inference workloads. As the demands of artificial intelligence move beyond today's models, we believe fundamental underlying infrastructure must evolve. We are an experienced team of AI researchers, silicon & systems engineers, and architects backed by leading investors, poised to become the essential platform for the next wave of AI innovation. The Opportunity We serve open-weight models and our own bespoke checkpoints on EnCharge hardware. The models change often, and the harness around them needs to keep up. You own this layer that runs agents against files, tools, documents with permissions, memory, unattended execution, and real outputs. It will be assembled from a combination of open-source and bespoke code. Key Responsibilities Own the harness architecture end to end — agent loop, safe execution, context management, knowledge base, memory, permissions, orchestration, outputs, interfaces, observability — one component per layer, with clear interfaces so layers can be swapped. Build the pieces with no open-source equivalent e.g. session semantics, enforced permissions, memory in a human-editable file, orchestrator, and outputs. Keep pace with the models: adapters, prompt formats, tool-call schemas, stop conditions, benchmarking and evaluation. Make tool use reliable across models of uneven tool-calling quality — validation, repair, retries, fallbacks. Develop agents, tools, and MCP servers for internal and customer use cases, and review them for security before they ship. Build the evaluation harness: task suites, regression runs on every model or harness change, cost and latency per task alongside quality. Define the interfaces: