Job Summary: We are looking for an Inside Sales Representative with 4* - 6 years* of experience in Cybersecurity product or solutions sales. The ideal candidate will have proficiency in Microsoft Office and CRM software, along with exceptional customer service and communication skills. You will be responsible for driving sales growth and building relationships with potential clients. Key Responsibilities: Drive sales by identifying and qualifying leads, engaging with potential clients, and closing deals. Develop and maintain relationships with new and existing clients. Achieve and exceed sales targets and KPIs. Maintain accurate customer records in CRM software, ensuring all interactions are documented. Collaborate with the sales team and management to optimize sales processes. Provide exceptional customer service by addressing inquiries, resolving issues, and ensuring customer satisfaction. Conduct product presentations and demonstrations to prospective customers. Stay up-to-date with industry trends and competitor products. Skills & Qualifications: 4 - 6 years of experience in inside sales, with a focus on Cybersecurity solutions. Strong proficiency in Microsoft Office (Word, Excel, PowerPoint) and CRM software (e.g., Salesforce, HubSpot). Excellent communication and interpersonal skills with the ability to engage with clients and build long-term relationships. Ability to work independently and collaboratively in a fast-paced environment. Strong problem-solving skills with a focus on delivering customer-centric solutions. Results-oriented, with a proven track record of achieving sales targets. Educational Qualification: MBA (Preferred) We are specifically looking for Female Candidates based in Delhi. If you meet the criteria and are eager to grow in a dynamic environment, we would love hear from you! Job Type: Full-time Pay: ₹50,000.00 - ₹60,000.00 per month Schedule: Day shift Monday to Friday Experience: Cybersecurity sales: 1 year (Required) Willingness to travel: 50% (Preferred) Work Location: Remote

About Prophaze: Prophaze is a global leader in cloud-native security solutions, recognized for pioneering Kubernetes-driven SD-WAF technology. Featured in the KuppingerCole Analyst Report (2022) as a Global WAF Innovation Leader, Prophaze is dedicated to securing applications and providing data security. We are a proud corporate partner of the OWASP Community and have been awarded as the Most Innovative Product of the Year by the Data Security Council of India in 2022. For more details, visit: www.prophaze.com LinkedIn: https://www.linkedin.com/company/prophaze/ Job Description: Pre Sales Engineer We are looking for a motivated and enthusiastic Presales Engineer with minimum 5 years of experience, preferably in cybersecurity , to join our team. As a Presales Engineer, you will work closely with the sales team to provide technical expertise and assist in developing customized solutions to meet client needs. Key Responsibilities: Collaborate with the sales team to understand customer requirements and deliver tailored cybersecurity solutions. Assist in creating technical presentations, demos, and proof-of-concept (POC) for clients. Provide technical support during the sales cycle and address customer queries related to cybersecurity solutions. Help design and configure cybersecurity solutions, including SIEM, firewalls, and endpoint security products. Conduct product demonstrations to showcase the value and benefits of our cybersecurity solutions. Work with customers directly to understand their technical needs and propose effective security solutions. Participate in direct client visits to present and discuss solutions in person, ensuring customer satisfaction. Maintain a good understanding of the latest cybersecurity trends, technologies, and threat landscape. Collaborate with cross-functional teams, including sales and technical support, to ensure smooth project delivery. Required Qualifications/Skills: Bachelor’s degree in Computer Science, Engineering, or a related field. Minimum years of experience in a presales, technical support, or cybersecurity-related role. Strong Knowledge of cybersecurity concepts, such as firewalls, SIEM, endpoint protection, and threat management. Ability to present technical solutions to both technical and non-technical audiences. Strong communication skills, both verbal and written. Willingness to travel for direct client visits and maintain a customer-focused approach. Ability to stay updated on the latest cybersecurity technologies and trends. Team player with the ability to collaborate effectively with cross-functional teams. *We are looking for candidates based in Delhi . Job Type: Full-time Pay: ₹80,000.00 - ₹90,000.00 per month Schedule: Day shift Monday to Friday Experience: Cybersecurity: 1 year (Required) Work Location: Remote

We are seeking an enthusiastic Digital Marketing Manager to lead our marketing initiatives. The ideal candidate will have a strong background in developing and executing marketing strategies, particularly for cybersecurity or SaaS clients. You will play a key role in enhancing brand awareness, driving growth, and promoting our products through creative marketing efforts. You should have a deep understanding of market trends and consumer behavior, alongside expertise in digital marketing tactics. Responsibilities: Conduct market research to understand consumer needs and trends. Develop creative marketing strategies and campaigns. Lead outbound and inbound marketing efforts, including content creation, event planning, and advertising. Coordinate with external vendors for promotional activities. Collaborate with internal teams to boost brand awareness and achieve marketing goals. Analyze campaign performance data to optimize future strategies. Skills: Proven experience in designing marketing strategies, preferably for cybersecurity or SaaS companies. Expertise in digital marketing, SEO, and social media. Strong analytical skills with proficiency in marketing data tools. Solid experience with Adobe Creative Suite, CRM software, and web analytics (Google AdWords, etc.). Knowledge of HTML, CSS, and web development tools (e.g. Dreamweaver) is a plus. Well-organized with attention to detail. Excellent communication and writing skills. Commercial awareness paired with creativity. Job Type: Full-time Pay: ₹60,000.00 - ₹90,000.00 per month Benefits: Health insurance Provident Fund Schedule: Day shift Monday to Friday Work Location: In person

Customer Success Executive Key Responsibilities: Serve as point-of-contact for assigned customers post-onboarding. Conduct health check calls, gather and act on feedback. Prepare and share commercial proposals for renewals. Manage contract renewals and client follow-ups. Coordinate licensing and invoicing with finance and sales teams. Track new and renewal orders manually from stock or internal systems. Follow up on renewal payments and maintain CRM records. Requirements: 3 - 4 years in Customer Success / Technical Account Management. Background in IT or SaaS; ability to understand technical solutions (mandatory). Strong written/spoken communication and follow-up skills. Experience in CRM, renewal cycles, and basic commercial documentation. Job Type: Full-time Pay: ₹35,000.00 - ₹50,000.00 per month Benefits: Health insurance Schedule: Day shift Monday to Friday Experience: Customer relationship management: 3 years (Required) Work Location: In person

Customer Success Executive Key Responsibilities: Serve as point-of-contact for assigned customers post-onboarding. Conduct health check calls, gather and act on feedback. Prepare and share commercial proposals for renewals. Manage contract renewals and client follow-ups. Coordinate licensing and invoicing with finance and sales teams. Track new and renewal orders manually from stock or internal systems. Follow up on renewal payments and maintain CRM records. Requirements: 3 - 4 years in Customer Success / Technical Account Management. Background in IT or SaaS; ability to understand technical solutions (mandatory). Strong written/spoken communication and follow-up skills. Experience in CRM, renewal cycles, and basic commercial documentation. Job Type: Full-time Pay: ₹35,000.00 - ₹50,000.00 per month Benefits: Health insurance Schedule: Day shift Monday to Friday Experience: Customer relationship management: 3 years (Required) Work Location: In person

About Prophaze: Prophaze is a global leader in cloud-native security solutions, recognized for pioneering Kubernetes-driven SD-WAF technology. Featured in the KuppingerCole Analyst Report (2022) as a Global WAF Innovation Leader, Prophaze is dedicated to securing applications and providing data security. We are a proud corporate partner of the OWASP Community and have been awarded as the Most Innovative Product of the Year by the Data Security Council of India in 2022. For more details, visit: www.prophaze.com LinkedIn: https://www.linkedin.com/company/prophaze/ Job Description: Pre Sales Engineer We are looking for a motivated and enthusiastic Presales Engineer with 1 - 4 years of experience, preferably in cybersecurity , to join our team. As a Presales Engineer, you will work closely with the sales team to provide technical expertise and assist in developing customized solutions to meet client needs. Key Responsibilities: Collaborate with the sales team to understand customer requirements and deliver tailored cybersecurity solutions. Assist in creating technical presentations, demos, and proof-of-concept (POC) for clients. Provide technical support during the sales cycle and address customer queries related to cybersecurity solutions. Help design and configure cybersecurity solutions, including SIEM, firewalls, and endpoint security products. Conduct product demonstrations to showcase the value and benefits of our cybersecurity solutions. Work with customers directly to understand their technical needs and propose effective security solutions. Participate in direct client visits to present and discuss solutions in person, ensuring customer satisfaction. Maintain a good understanding of the latest cybersecurity trends, technologies, and threat landscape. Collaborate with cross-functional teams, including sales and technical support, to ensure smooth project delivery. Required Qualifications/Skills: Bachelor’s degree in Computer Science, Engineering, or a related field. 1- 4 years of experience in a presales, technical support, or cybersecurity-related role. Strong Knowledge of cybersecurity concepts, such as firewalls, SIEM, endpoint protection, and threat management. Ability to present technical solutions to both technical and non-technical audiences. Strong communication skills, both verbal and written. Willingness to travel for direct client visits and maintain a customer-focused approach. Ability to stay updated on the latest cybersecurity technologies and trends. Team player with the ability to collaborate effectively with cross-functional teams. *We are looking for candidates based in Kolkata . Job Type: Full-time Pay: ₹50,000.00 - ₹90,000.00 per month Schedule: Day shift Monday to Friday Work Location: Remote

Job Title: Data Analyst Location: Trivandrum Experience Level: 3 - 5 years About the Role We are looking for a Data Analyst with strong analytical skills and a keen interest in web infrastructure and behavioural analytics to support the development of an ML-based anomaly detection system for NGINX server logs. You will play a critical role in extracting domain knowledge from raw logs, identifying behaviour patterns, anomalies, and translating these into insightful features that inform our ML engineers and are used for real-time dashboards. This is not just a reporting role — you will work alongside AI engineers and data engineers to shape how raw data is interpreted and transformed for machine learning and operational use. Key Responsibilities Domain Behaviour Analysis : Analyse large volumes of log data to identify user behaviour patterns, anomalies, and security events. Interpret fields such as IP addresses, geolocation data, user agents, request paths, status codes, and request times to derive meaningful insights. Feature Engineering Support : Collaborate with AI engineers to propose relevant features based on log behaviour and traffic patterns (e.g., burst patterns, unusual request headers, request frequency shifts). Validate engineered features against behavioural patterns and business context. Conduct exploratory data analysis (EDA) to evaluate feature quality and distribution. Data Visualization & Dashboards : Develop data visualizations to represent time-series trends, geo-distributions, traffic behaviour, etc... Collaborate with the frontend/dashboard team to define and test visual requirements and anomaly indicators. Help surface visual insights on anomalies and their severity for analyst consumption. Data Quality & Validation : Identify and address gaps, inconsistencies, and errors in raw logs. Ensure feature logic aligns with real-world HTTP behaviour and use cases. Documentation & Knowledge Sharing : Create documentation that explains observed behavioural patterns, feature assumptions, and traffic insights for use by the wider ML and security team. Minimum Qualifications Bachelor’s degree in Computer Science, Information Systems, Data Analytics, Cybersecurity, or a related field. 2+ years of experience in data analysis or analytics roles. Proficiency in: SQL , Elasticsearch queries (DSL or Kibana), Python for data analysis (pandas, matplotlib, seaborn, plotly) Experience working with web server logs (NGINX, Apache) or structured event data. Strong analytical thinking — ability to break down complex log behaviour into patterns and outliers. Nice to Have Familiarity with web security concepts (DDoS, bot detection, HTTP protocol). Experience with log analytics platforms (Kibana, Grafana, ELK Stack). Understanding of feature engineering concepts in ML pipelines. Experience working on or with anomaly detection or security analytics systems. Job Type: Full-time Pay: ₹40,000.00 - ₹55,000.00 per month Benefits: Health insurance Provident Fund Schedule: Day shift Monday to Friday Experience: Data analytics: 3 years (Required) Work Location: In person

Prophaze Technologies is looking for a Legal Specialist with 3-5 years of experience in the IT industry. Please go through the job description provided below and share a copy of your updated profile, in case this opportunity excites you. Skills required: Legal Knowledge: Strong understanding of corporate law, contract law, and relevant regulations. Analytical Skills: Ability to analyze complex legal issues, evaluate risks, and provide practical solutions. Communication Skills: Excellent written and verbal communication skills for drafting legal documents, providing advice, and negotiating with external parties. Negotiation Skills: Ability to negotiate effectively in various legal contexts. Organizational Skills: Strong organizational and time management skills to manage multiple tasks and deadlines. Attention to Detail: Meticulous attention to detail in reviewing and drafting legal documents. Key Responsibilities: Legal Advice and Guidance: Providing sound legal counsel to management and other departments on various legal matters, including contract law, corporate governance, and regulatory compliance. Contract Management: Drafting, reviewing, and negotiating contracts, agreements, and other legal documents, ensuring they protect the company's interests and comply with relevant laws. Compliance and Risk Management: Staying updated on relevant legislation and regulations, advising on compliance requirements, and implementing necessary internal processes. This includes identifying and mitigating potential legal risks associated with business decisions and operations. Policy Development: Assisting in the development and implementation of company policies related to legal and regulatory compliance. Due Diligence: Conducting due diligence on investments and other transactions. Liaison with External Parties: Communicating and negotiating with external parties such as regulators, government agencies, and external counsel. Document Management: Maintaining organized records of legal documents and ensuring their proper storage and retrieval. Education and experience: A bachelor’s or master’s degree in law (LLB or equivalent) is typically required. Relevant experience in corporate law, either in-house or private practice, is usually essential. Specific experience in areas like contract management, compliance, or litigation may be required depending on the specific role. *Please do mention your current compensation, expected compensation and notice period, which will help us revert to you faster Job Type: Full-time Pay: ₹25,000.00 - ₹45,000.00 per month Benefits: Health insurance Provident Fund Schedule: Day shift Monday to Friday Application Question(s): How many years of experience do you have as a legal specialist in a corporate setting? Experience: Legal Specialist: 3 years (Required) Work Location: In person

Job Title: Data Engineer Location: Trivandrum Type: Full-time Experience Level: Mid-Senior (3+ years) About the Role We are seeking a skilled Data Engineer to design and implement robust, scalable data pipelines for processing and transforming log data stored in Elasticsearch . You will play a key role in building the data pipeline for our advanced ML-powered behavioural anomaly detection platform. This role also involves designing and maintaining the feature engineering pipeline , including integration with a feature store like Feast , and ensuring high-quality, low-latency data delivery for ML models. If you have strong experience in ELK stack, Python, and modern data architectures, and are excited by the intersection of AI and cybersecurity, this is for you. Key Responsibilities ETL Pipeline Development : Build scalable ETL workflows to extract raw logs from Elasticsearch. Clean, normalize, and transform logs into structured features for ML use cases. Maintain data freshness with either batch or near real-time workflows. Feature Store Integration : Design schemas for storing derived features into a feature store (e.g., Feast). Collaborate with ML engineers to ensure features are aligned with model requirements. Manage historical feature backfills and real-time lookups. Data Infrastructure and Architecture : Optimize Elasticsearch queries and index management for performance and cost. Design data schema, partitioning, and retention policies for long-term storage. Ensure data integrity, versioning, and reproducibility of transformed data. Monitoring and Scaling : Implement monitoring for pipeline performance and failures. Scale pipelines to support growing log data (in the scale of 100s of GBs per day). Collaboration : Work closely with security analysts and AI engineers to translate behavioural insights into engineered features. Document data lineage, transformation logic, and data dictionaries. Minimum Qualifications Bachelor’s or Master’s degree in Computer Science, Data Engineering, or related field. 3+ years of experience in data engineering roles with Python and Elasticsearch. Strong experience building data pipelines using: Python (pandas, elasticsearch-py, PySpark is a bonus) Orchestration tools (e.g., Apache Airflow , Prefect ) Familiarity with log processing, especially NGINX, Apache logs , HTTP protocols , and cybersecurity-relevant fields (IP, headers, user agents). Experience with feature stores such as Feast , Tecton , or custom-built systems. Solid understanding of data modeling, versioning, and time-series data handling. Knowledge of DevOps practices (Docker, Git, CI/CD workflows). Nice to Have Experience with Kafka, Fluentd or Logstash pipelines. Experience deploying data workloads on cloud environments (AWS/GCP/Azure). Exposure to anomaly detection or cybersecurity ML systems. Familiarity with ML workflows, model deployment, and MLOps. Job Type: Full-time Pay: ₹35,000.00 - ₹60,000.00 per month Benefits: Health insurance Provident Fund Schedule: Day shift Monday to Friday Experience: Data engineering: 3 years (Required) Work Location: In person

As a Data Analyst at our company based in Trivandrum, you will be responsible for analyzing large volumes of log data from NGINX server logs to identify user behavior patterns, anomalies, and security events. Your role will involve interpreting various fields such as IP addresses, geolocation data, user agents, request paths, status codes, and request times to derive meaningful insights. Collaboration with AI engineers is crucial as you will work together to propose relevant features based on log behavior and traffic patterns. Your responsibilities will include validating engineered features, conducting exploratory data analysis, and ensuring the quality and alignment of feature logic with real-world HTTP behavior and use cases. Furthermore, you will be involved in developing data visualizations to represent time-series trends, geo-distributions, and traffic behavior. Your collaboration with the frontend/dashboard team will be essential in defining and testing visual requirements and anomaly indicators for real-time dashboards. In addition to your analytical tasks, you will also be responsible for identifying and addressing gaps, inconsistencies, and errors in raw logs to ensure data quality. Creating documentation that explains observed behavioral patterns, feature assumptions, and traffic insights for knowledge sharing within the ML and security team will also be part of your role. The minimum qualifications for this position include a Bachelor's degree in Computer Science, Information Systems, Data Analytics, Cybersecurity, or a related field, along with at least 2 years of experience in data analysis or analytics roles. Proficiency in SQL, Elasticsearch queries, Python for data analysis, and experience working with web server logs or structured event data are required. Strong analytical thinking skills are essential to break down complex log behavior into patterns and outliers. It would be beneficial if you have familiarity with web security concepts, experience with log analytics platforms, an understanding of feature engineering concepts in ML pipelines, or experience working on anomaly detection or security analytics systems. This is a full-time position with benefits such as health insurance and Provident Fund, with a day shift schedule from Monday to Friday. If you possess the necessary qualifications and experience, we look forward to receiving your application.,

You are an enthusiastic Digital Marketing Manager responsible for leading marketing initiatives for cybersecurity or SaaS clients. Your role involves developing and executing marketing strategies to enhance brand awareness, drive growth, and promote products through creative marketing efforts. A deep understanding of market trends, consumer behavior, and digital marketing tactics is essential for this position. Your responsibilities include conducting market research, developing creative marketing strategies and campaigns, leading outbound and inbound marketing efforts, coordinating promotional activities with external vendors, collaborating with internal teams, and analyzing campaign performance data to optimize future strategies. To excel in this role, you must have proven experience in designing marketing strategies for cybersecurity or SaaS companies, expertise in digital marketing, SEO, and social media, strong analytical skills with proficiency in marketing data tools, experience with Adobe Creative Suite, CRM software, and web analytics, knowledge of HTML, CSS, and web development tools, well-organized with attention to detail, excellent communication and writing skills, and a blend of commercial awareness and creativity. This is a full-time position with benefits including health insurance and provident fund. The work schedule is day shift, Monday to Friday, and the work location is in person.,