Account Executive Mid Market Sales Location: Mumbai Druva, the autonomous data security company, puts data security on autopilot with a 100% SaaS, fully managed platform to secure and recover data from all threats. The Druva Data Security Cloud ensures the availability, confidentiality, and fidelity of data providing customers with autonomous protection, rapid incident response, and guaranteed data recovery. The company is trusted by its more than 6,000 customers, including 65 of the Fortune 500, to defend business data in today s ever connected world. Amidst a rapidly evolving security landscape, Druva offers a $10 million Data Resiliency Guarantee ensuring customer data is protected and secured against every cyber threat. Visit druva.com and follow us on LinkedIn , X and Facebook . Druva is hiring an exceptional Account Executive for the Mid Market segment in India, responsible for building the sales pipeline, and closing business within the defined sales territory for both existing and new customers. The role will report directly to the Country Manager, India SAARC. The ideal candidate should be a highly motivated self starter who enjoys both the challenges and rewards associated with a successful scale up company. The ideal candidate will be detail oriented, process driven, and consultative in their sales approach. You should have a consistent track record of success in achieving new customer acquisition, managing incremental revenue bookings from both existing and new customers, as well as working with national and regional channel partners. In addition you should be comfortable selling a solution and technologies within a SaaS scale up environment to IT contacts at a variety of levels within an organization. Responsibilities: Manage sales in the assigned territory (hybrid role; existing customers and new business) Execute on the full sales cycle end to end at Mid Market accounts, from initial contact to point of sale. Work closely with counterparts in Renewals to ensure Druva customer subscription renewals and to avoid churn and downsell in existing customers Support and work with channel partners to scale sales reach in the region. Includes resellers and distributors. Establish awareness of Druva s solution, generate leads, communicate the value proposition, and close deals in the region. Deliver awe inspiring product presentations and demos, provide timely and insightful responses to customer queries, and recommend creative ways Druva can solve business problems. Attain a deep understanding of Druva s solutions and its competitive positioning in the market. Be a subject matter expert. Lead creation of proposals and responses to RFIs/RFPs working in conjunction with the Solution Engineer. Reporting: Maintain a complete and timely report of the regional pipeline in the assigned territory. Prepare, communicate, and execute to a thorough business plan. Meet or exceed revenue quota. Qualifications: 5+ years of software sales experience (Backup or SaaS experience a plus) Experienced in selling into the IT organizations of Mid Market customers in India. We will want to see strong and consistent earnings background Experience managing and selling through a channel. Strong technical acumen Willingness to travel up to 30%, mostly domestic.. Fluency in English College degree from a top tier university (Masters or MBA a plus) Personal Attributes: Entrepreneurial spirit : passionate about joining a scale up, adaptable to changing situations Technologist : understand the problems faced by todays IT organizations and how to apply current technologies to solve them Self starter : take responsibility and do what it takes to get the job done with minimal direction Team Player : build relationships across Druva s regional and global organization, sharing and learning from others Organized : lead complex efforts and initiatives, breaking them down into tasks, and clearly communicate progress Pragmatic : analyze trade offs and prioritize tasks in order to achieve important objectives High professional standards : a commitment to individual and organizational excellence Excellent verbal and written communications skills : succinctly and clearly communicate with customers, peers, and management

Druva, the autonomous data security company, puts data security on autopilot with a 100% SaaS, fully managed platform to secure and recover data from all threats. The Druva Data Security Cloud ensures the availability, confidentiality, and fidelity of data - providing customers with autonomous protection, rapid incident response, and guaranteed data recovery. The company is trusted by its more than 6,000 customers, including 65 of the Fortune 500, to defend business data in today s ever-connected world. Amidst a rapidly evolving security landscape, Druva offers a $10 million Data Resiliency Guarantee ensuring customer data is protected and secured against every cyber threat. Visit druva.com and follow us on LinkedIn , X and Facebook . Cloud Platform Team at Druva drives the backbone of everything SaaS-related. This team designs and develops features that cater to both Customer-facing needs and internal stakeholders, playing a pivotal role in evolving Druvas architecture, as the company scales further.Key focus areas for the Platform Organization includes Druva Cloud Platform, Product-Led Growth (PLG), MSP Solutions, Ecosystem Integrations, Licensing, Billing, and Revenue Systems.By tackling these critical domains, the team ensures Druva s platform remains robust, scalable, and ready for the future About Role : As a Senior Staff Software Engineer, you will be responsible for the design, implementation and maintenance of software modules owned by a team. Your primary focus will be on the development of all backend server-side components and ensuring high performance and responsiveness to requests from the front end. You will guide and mentor junior team members by reviewing their code and designs to ensure that they are writing well-designed and high-quality code. This role requires excellent communication skills as you will need to collaborate across teams. Key Skills 6+ years of experience, preferably in a product company.Extensive hands-on experience in Go/Python/C++/Java on Unix/Linux or Windows platformExcellent programming skills along with Data structures, Algorithms, Design ConceptsExperience in working with MicroservicesExperience in Cloud Technologies (preferably AWS)Experience with third party API integrations at scale (preferred) Desirable Skills: Excellent written and verbal communication skillsFamiliar with Agile methodologies like Scrum etc.Knowledge of the SaaS OR Backup domain will be an advantage.Working knowledge of Dockers and Kubernetes will be an advantage Role and Responsibilities: Play key role in design/development of features.Gathering understanding requirements. Design, development implementation independently. Will be able to work on end-to-end features. Qualification B.Tech / B.E / M.E. / M.Tech (Computer Science) or equivalent

Druva, the autonomous data security company, puts data security on autopilot with a 100% SaaS, fully managed platform to secure and recover data from all threats. The Druva Data Security Cloud ensures the availability, confidentiality, and fidelity of data - providing customers with autonomous protection, rapid incident response, and guaranteed data recovery. The company is trusted by its more than 6,000 customers, including 65 of the Fortune 500, to defend business data in today s ever-connected world. Amidst a rapidly evolving security landscape, Druva offers a $10 million Data Resiliency Guarantee ensuring customer data is protected and secured against every cyber threat. Visit druva.com and follow us on LinkedIn , X and Facebook . Druva has raised over $350m in venture capital, is trusted by over 4,000 global organizations and protects over 200 PB of data. Staff Data/Analytics/ML Engineer The Role The Team: The Business Intelligence team is responsible for all data driven insights and activations of those data sets into operational cadence and business process optimizations for Druva. We are seeking a Staff Data Analytics/ML Engineer that will lead data to insights recommendation engine and stakeholder engagement. This is a high impact role that collaborates with highly skilled engineers product teams and leverage industry leading data stack/tools. What You ll Do: Help bridge the gap between data engineering, analytics engineering, and machine learning to drive impactful business insights. Collaborate cross-functionally with Product, Engineering, GTM, and Customer Success teams to develop data-driven solutions that improve decision-making and business outcomes. Design, build, and maintain scalable data pipelines and infrastructure to support analytics, machine learning, and operational workflows. Develop and optimize data models for analytics and reporting, ensuring efficient storage, retrieval, and transformation of large datasets. Work on feature engineering, model training, and deployment pipelines to enable real-time and batch ML/AI solutions. Lead and contribute to architectural discussions, improving data governance, observability, and scalability across platforms. Evaluate and implement data tools and platforms that enhance data workflows, including Reverse ETL, MLOps, and DataOps frameworks. Provide mentorship and guidance to data engineers, analysts, and machine learning practitioners, fostering a culture of collaboration and technical excellence. Work closely with stakeholders to translate business needs into technical requirements, prioritizing projects that maximize impact and efficiency. What We Are Looking For: Bachelor s or Master s degree in Computer Science, Data Science, Engineering, Statistics, or a related field. 7+ years of experience in data engineering, analytics engineering, or machine learning, with a strong technical foundation across all three domains. Expertise in modern data stacks, including Snowflake, dbt, Airflow, Spark, and cloud platforms (AWS, GCP, Azure). Experience with BI and analytics tools such as Looker, Sigma, Tableau, Power BI, or similar. Strong experience in SQL, Python, and distributed data processing frameworks (Spark, Dask, or similar). Experience building data pipelines, ETL/ELT processes, and data transformations for analytical and ML use cases. Familiarity with machine learning frameworks such as TensorFlow, PyTorch, Scikit-learn, and ML lifecycle management (MLOps). Deep understanding of data modeling, data architecture, and data governance best practices. Strong problem-solving skills with the ability to take ambiguous business challenges and design robust data solutions. Experience working in Agile environments, prioritizing technical initiatives, and collaborating with engineering teams. Excellent communication skills, with the ability to explain complex technical concepts to non-technical stakeholders. Bonus Points For: Experience with Generative AI/LLMs and integrating AI solutions into business workflows. Knowledge of streaming architectures (Kafka, Kinesis, or Pub/Sub) and real-time analytics. Experience with Data Contracts, Data Quality frameworks, or Data Mesh architecture. Familiarity with Reverse ETL tools like Salesforce, Census, Hightouch, or Segment for operational analytics.

Druva, the autonomous data security company, puts data security on autopilot with a 100% SaaS, fully managed platform to secure and recover data from all threats. The Druva Data Security Cloud ensures the availability, confidentiality, and fidelity of data - providing customers with autonomous protection, rapid incident response, and guaranteed data recovery. The company is trusted by its more than 6,000 customers, including 65 of the Fortune 500, to defend business data in today s ever-connected world. Amidst a rapidly evolving security landscape, Druva offers a $10 million Data Resiliency Guarantee ensuring customer data is protected and secured against every cyber threat. Visit druva.com and follow us on LinkedIn , X and Facebook . Druva has raised over $350m in venture capital, is trusted by over 4,000 global organizations and protects over 200 PB of data. The Role & The Team: The Business Intelligence team is responsible for all data driven insights and activations of those data sets into operational cadence and business process optimizations for Druva. We are seeking a Director of Business Intelligence/Analytics that will lead data to insights recommendation engine and stakeholder engagement. This is a high impact role that will offer exposure to the Executive team, collaborate with highly skilled engineers & product teams and leverage industry leading data stack/tools. Druva is hiring a Data Analyst/Data Engineer to help build new data models, reports/dashboards and Data Apps to drive decision intelligence and data driven culture. As our company grows, this person will build data infrastructure (data models, data architecture, data aps, data governance) that brings together tech, product, and operational functions and informs strategic decision making at the executive level. What Youll DoWeave data into decision-making and drive cross-functional data-oriented approaches and solutions and data activation workflowsEnsure consistency and quality through metrics, documentation, processes, data testing, and training.Use your SQL/Python skills to craft cutting edge data solutions for both BI/DW and Data Apps/AI Use Cases Develop scalable reporting solutions leveraging Modern Data Stack (Fivetran,dbt,Snowflake, Sigma Analytics, AWS)Communicate data-backed findings to a diverse constituency of internal and external stakeholders including visualizations, advanced analytics (forecasts, insights) and recommendationsContribute to Architectural stack analysis to scale DataOps, Data Management, Data strategy (Reverse ETL, Operational Analytics, MDM/Customer 360, Advanced Analytics, Generative AI/ML, Data Apps/Data Fabric) What Were Looking For5+ years in a data engineer or SQL/Python-heavy data analyst role (high-growth startup environments highly preferred)Ability to build logical and physical data models, data mappings, data flows, data architecture and data dictionariesProficient in SQL/Python skills, and Advanced Excel/GSheetExperience with SDLC and associated Development Operations processes (JIRA/Confluence/Freshservice) to intake, prioritize, track and deploy solutionsExperience with testing data flows and data reconciliation activities; ability to create scripts to test/automate data setsWith the above stated, we are open to candidates of all backgrounds and encourage you to apply if interested! Druva is committed to cultivating a diverse and inclusive team and none of the above points are 100% required.Experience with modern business intelligence and product reporting tools (Snowflake, Fivetran, dbt, Sigma ,AI/ML, Apache Airflow, gitlab) Bonus Points For:Exposure to SaaS environments, Salesforce, NetSuite, Gainsight, MarketoPart of a startup acquisition or IPO and have GTM Operations experience (Lead to Cash, Record to Report, Sales/Marketing Funnel)Relentlessly positive attitude, strong sense of humor, and the ability to have fun at work

Who we are Druva delivers data protection and management for the cloud era. Druva Cloud Platform is built on AWS and offered as-a-Service, delivering globally accessible, infinitely scalable and completely autonomous enterprise data resiliency. Customers drive down costs by up to 50 percent by freeing themselves from the burden of unnecessary hardware, capacity planning, and software management. Druva s patented cloud architecture transforms backup data into an asset, making it more open and accessible so customers can streamline governance, improve cyber resiliency, and gain critical insights to uncover opportunities and expedite decision making. Druva has raised over $350m in venture capital, is trusted by over 4,000 global organizations and protects over 200 PB of data. Who Youll work with Druvas Technical Support Team is the focal point for resolution of customer technical issues. We are a worldwide organization of highly skilled engineers that craft and make a positive impact on the customer experience. Within todays highly connected and increasingly social world of complex and sophisticated threats, Druva delivers data protection and management for the cloud era. You will be challenged, learn and be energized as you resolve complex technical issues in this ever-evolving landscape. Make an impact by joining the Product Support team What Youll Do As an integral part of the Global Customer Support team, you will provide technical support for Druva products. The Engineer will be responsible for ensuring our customers success and satisfaction with our products and contributing to their long-term loyalty. You will work closely with the rest of the Druva support team, Engineering, Solutions Delivery, Sales, and Product Management to ensure that Druva is delivering overall superior service and support to our customers. Responsibilities include but are not limited to the following: Be flexible to Work in shift 24 X 7 X 365 Act as a collaborative team member to resolve issues together Troubleshoot areas of poor performance and identify effective solutions to resolve issues both in the immediate future and for the longer term. Analysis of exceptions and logs to isolate root cause and help in product s usability and improve end-user experience Ensure that knowledge management and data capture processes are adhered to and encourage and help convert technical solutions to Knowledge base articles Approaching complex technical issues with varying perceptions and making use of opportunities to create and implement productivity tools Ensure all issues are resolved or escalated to the proper resources to resolve in a timely fashion. Additionally, this individual will manage communications to customers at all levels to maintain positive relationships Follow standard procedures for proper escalation of unresolved issues to the appropriate internal teams Follow troubleshooting methodology to diagnose, root cause and resolve customer issues, also be able to recreate the issue in-house Continuously enhancing knowledge through training and e-learning courses Coordinate with Quality Assurance and Engineering teams to aid in identifying, reporting, and resolving product defects. Comfortable working with remote support tools and case management systems like Salesforce, JIRA, Zoom & etc. Meeting Service Level Agreements metric for all customer channels Who You Are Bachelor s degree preferably in a technical field and 4+ years relevant work experience or equivalent combined training & experience Excellent communication skills, both written and verbal. Prior Experience in communicating with Enterprise, Service Provider, or SMB customers Good understanding of backup and recovery concepts Types of backups, Replication Etc. Experience in the following areas: Administrative experience in Operating Systems - Windows, Linux/Unix, Solaris Knowledge and understanding of cloud infrastructure - AWS Administration & Maintenance Knowledge of Microsoft 365 G Suite Salesforce Slack Working knowledge of Active Directory and API Proficient with troubleshooting a wide variety of applications using standard tools (etc. Wireshark, tcpdump, procmon, perfmon, OpenSSL) Fundamental knowledge of storage technologies (tape device, SCSI, SAN, iSCSI, NAS etc.) and Networking concepts (routers, firewalls and proxies) System Integration - Working knowledge of Identity and Access Management (LDAP, AD, ADFS, Okta, Ping, etc) Ability to troubleshoot issues involving communication between multiple SaaS and on-premise applications Experience building customer-facing documentation Experience with deployment tool (SCCM, JAMF, Quest Kace, Intune etc.) and configuration is a plus

Druva enables cyber, data and operational resilience for every organization with the Data Resiliency Cloud, the industry s first and only at scale SaaS solution. Customers can radically simplify data protection, streamline data governance, and gain data visibility and insights as they accelerate cloud adoption.Druva pioneered a SaaS-based approach to eliminate complex infrastructure and related management costs, and deliver data resilience via a single platform spanning multiple geographies and clouds. Druva is trusted by thousands of enterprises, including 60 of Fortune 500, to make data more resilient and accelerate their journey to the cloud.Visit druva.com and follow us on LinkedIn , X and Facebook . Enterprise Workload is a unified server backup and archival built on Druva s secure, enterprise-trusted, and high-performance cloud platform. With Phoenix, data can be stored indefinitely with limitless snapshots and flexible retention policies, while at the same time significantly lowering your backup costs. Druva takes a multi-layered approach to securing data that is unmatched in the industry - enabling organizations to address both their data security and data privacy requirements. As a Staff Software Engineer, you will be responsible for the design, implementation and maintenance of software modules owned by a team. You will guide and mentor junior team members by reviewing their code and designs to ensure that they are writing well designed and high quality code. This role requires excellent communication skills as you will need to collaborate across teams. Key Skills: 3 to 6 years of experienceExtensive experience on C/C++/PythonExperience on OS - Unix/Linux and WindowsHands on experience in Networking and Multi-threading Desirable Skills: Experience in Cloud Technologies, system programming is a plus Roles and responsibilities: Play key role in design/development of Phoenix product.Responsible for the complete software development cycle.Gathering understanding requirements.Design, development implementation independently.Responsible for ensuring timely and quality delivery.Will be able to work in end to end features. Qualification: B.Tech / B.E / M.E./ M.Tech (Computer Science) or equivalent.

Cloud Platform Team at Druva drives the backbone of everything SaaS-related. This team designs and develops features that cater to both Customer-facing needs and internal stakeholders, playing a pivotal role in evolving Druvas architecture, as the company scales further. Key focus areas for the Platform Organization includes Druva Cloud Platform, Product-Led Growth (PLG), MSP Solutions, Ecosystem Integrations, Licensing, Billing, and Revenue Systems. By tackling these critical domains, the team ensures Druva s platform remains robust, scalable, and ready for the future About Role : As a Senior Staff Software Engineer, you will be responsible for the design, implementation and maintenance of software modules owned by a team. Your primary focus will be on the development of all backend server-side components and ensuring high performance and responsiveness to requests from the front end. You will guide and mentor junior team members by reviewing their code and designs to ensure that they are writing well-designed and high-quality code. This role requires excellent communication skills as you will need to collaborate across teams. Key Skills 6+ years of experience, preferably in a product company. Extensive hands-on experience in Go/Python/C++/Java on Unix/Linux or Windows platform Excellent programming skills along with Data structures, Algorithms, Design Concepts Experience in working with Microservices Experience in Cloud Technologies (preferably AWS) Experience with third party API integrations at scale (preferred) Desirable Skills: Excellent written and verbal communication skills Familiar with Agile methodologies like Scrum etc. Knowledge of the SaaS OR Backup domain will be an advantage. Working knowledge of Dockers and Kubernetes will be an advantage Role and Responsibilities: Play key role in design/development of features. Gathering understanding requirements. Design, development implementation independently. Will be able to work on end-to-end features. Qualification B.Tech / B.E / M.E. / M.Tech (Computer Science) or equivalent

Druva enables cyber, data and operational resilience for every organization with the Data Resiliency Cloud, the industry s first and only at scale SaaS solution. Customers can radically simplify data protection, streamline data governance, and gain data visibility and insights as they accelerate cloud adoption. Druva pioneered a SaaS-based approach to eliminate complex infrastructure and related management costs, and deliver data resilience via a single platform spanning multiple geographies and clouds. Druva is trusted by thousands of enterprises, including 60 of Fortune 500, to make data more resilient and accelerate their journey to the cloud. Visit druva.com and follow us on LinkedIn , X and Facebook . About Role : The Foundation team at Druva is responsible for designing a highly performant and scalable cloud file system on the Druva cloud in AWS. To build this petabyte-scale, distributed, services-oriented cloud file system, various key concepts like file system metadata, versioning, and eventual consistency are used along with leveraging various AWS services like S3, DDB, and Kinesis. While the core file storage engine provides the backup storage for all the Druva products, allied components like the indexing engine, key-value store, and big data pipeline provide scalable search, analytics, and compliance services. The team diligently keeps track of newer services, storage tiers, and various aspects of existing AWS services to take advantage of the continuous evolution of services and use them effectively in the background. As a Senior Staff Software Engineer, you will work with cross-functional development, Architects and devOps teams to define the HLD/LLD for the data security and data management services and its various features and capabilities. Continuously assess emerging trends in data security and data management platforms, applications, technologies, tools and API to help build and refine low-level design for enhancing existing as well developing new features. Mentor, guide and train junior engineers on data management and data security as well as principles of high quality and high velocity development in general. Key Skills : 5 to 7 years of industry experience in building software products for enterprise.Expertise and hands-on experience in designing and implementing SaaS software at scale. Python OR Golang Language Expertise.In-depth knowledge as well as experience working with cloud storage and data management solutions.Hands-on experience and expertise building storage systems and solutions for protecting and securing data, especially those that involve storing data and metadata at scale.Prior experience in building a data protection product is desirable.Experience with SaaS platforms like AWS and Azure is a plus.Strong hands-on developer with excellent communication skills who can collaborate with cross functional technical teams to meet the design needs of the feature and who can influence and drive architecture, design and implementation of a system for timely business results and outcomes. Desirable Skills: Excellent written and verbal communication skillsFamiliar with Agile methodologies like Scrum etc.Experience in Cloud Technologies (preferably AWS) will be advantageous Role and Responsibilities: Work with cross-functional development, Architects and devOps teams to define the HLD/LLD for the data security and data management services and its various features and capabilities.Continuously assess emerging trends in data security and data management platforms, applications, technologies, tools and API to help build and refine existing as well as any new features.Drive the development by adopting and integrating data management applications and tools into the tech stack for a highly integrated product experience and quality.Drive the development by adopting best practices and principles of high quality SaaS software developmentMentor, guide and train junior engineers on data management and data security as well as principles of high quality and high velocity development in general. Qualification: B.Tech / B.E / M.E./ M.Tech (Computer Science) or equivalent. Advanced degree in computer science is a must.