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Job Title:Product Manager – IAM / IGA

Experience Required: 3-4 Years

Desired Skills: Product Manager,Product Roadmap,PRD,User Stories,Agile,Scrum,Identity and Access Management,Identity Governance and Administration

Location: Pune

Employment Type: Full-time

About the Role

We are looking for an ownership-driven Product Manager (3–4 years experience) based in Pune to drive our product strategy and roadmap in the Cybersecurity (IAM/IGA) domain. You will bridge the gap between business needs and engineering execution to deliver impactful identity security features.

Key Responsibilities

• Roadmap Execution: Define, prioritize, and execute product features and enhancements.
• Cross-Functional Collaboration: Align engineering, sales, and delivery teams on product goals.
• Customer-Centric Focus: Translate customer and market requirements into actionable technical requirements and user stories.
• Go-To-Market Support: Assist with product demonstrations and high-level stakeholder discussions.

Requirements

• Experience: 3–4 years in Product Management, ideally within B2B SaaS or Cybersecurity.
• Domain Skills: Strong understanding of IAM & IGA concepts (e.g., identity lifecycle, access governance, RBAC).
• Tools Exposure: Familiarity with tools like SailPoint, Saviynt, Okta, ForgeRock, CyberArk, or Entra ID.
• Methodology: Proven experience working in Agile/Scrum environments.
• Soft Skills: Exceptional communication, stakeholder management, and analytical thinking.

MUST-HAVES: 

• Machine Learning + Aws + (EKS OR ECS OR Kubernetes) + (Redshift AND Glue) + Sage maker
• Notice period - 0 to 15 days only 
• Hybrid work mode- 3 days office, 2 days at home

SKILLS: AWS, AWS CLOUD, AMAZON REDSHIFT, EKS

ADDITIONAL GUIDELINES:

• Interview process: - 2 Technical round + 1 Client round
• 3 days in office, Hybrid model. 

CORE RESPONSIBILITIES:

• The MLE will design, build, test, and deploy scalable machine learning systems, optimizing model accuracy and efficiency
• Model Development: Algorithms and architectures span traditional statistical methods to deep learning along with employing LLMs in modern frameworks.
• Data Preparation: Prepare, cleanse, and transform data for model training and evaluation.
• Algorithm Implementation: Implement and optimize machine learning algorithms and statistical models.
• System Integration: Integrate models into existing systems and workflows.
• Model Deployment: Deploy models to production environments and monitor performance.
• Collaboration: Work closely with data scientists, software engineers, and other stakeholders.
• Continuous Improvement: Identify areas for improvement in model performance and systems.

SKILLS:

• Programming and Software Engineering: Knowledge of software engineering best practices (version control, testing, CI/CD).
• Data Engineering: Ability to handle data pipelines, data cleaning, and feature engineering. Proficiency in SQL for data manipulation + Kafka, Chaos search logs, etc. for troubleshooting; Other tech touch points are Scylla DB (like BigTable), OpenSearch, Neo4J graph
• Model Deployment and Monitoring: MLOps Experience in deploying ML models to production environments.
• Knowledge of model monitoring and performance evaluation.

REQUIRED EXPERIENCE:

• Amazon SageMaker: Deep understanding of SageMaker's capabilities for building, training, and deploying ML models; understanding of the Sage maker pipeline with ability to analyze gaps and recommend/implement improvements
• AWS Cloud Infrastructure: Familiarity with S3, EC2, Lambda and using these services in ML workflows
• AWS data: Redshift, Glue
• Containerization and Orchestration: Understanding of Docker and Kubernetes, and their implementation within AWS (EKS, ECS)

Job Overview:

We are seeking an experienced AWS Data Engineer to join our growing data team. The ideal candidate will have hands-on experience with AWS Glue, Redshift, PySpark, and other AWS services to build robust, scalable data pipelines. This role is perfect for someone passionate about data engineering, automation, and cloud-native development.

Key Responsibilities:

• Design, build, and maintain scalable and efficient ETL pipelines using AWS Glue, PySpark, and related tools.
• Integrate data from diverse sources and ensure its quality, consistency, and reliability.
• Work with large datasets in structured and semi-structured formats across cloud-based data lakes and warehouses.
• Optimize and maintain data infrastructure, including Amazon Redshift, for high performance.
• Collaborate with data analysts, data scientists, and product teams to understand data requirements and deliver solutions.
• Automate data validation, transformation, and loading processes to support real-time and batch data processing.
• Monitor and troubleshoot data pipeline issues and ensure smooth operations in production environments.

Required Skills:

• 5 to 7 years of hands-on experience in data engineering roles.
• Strong proficiency in Python and PySpark for data transformation and scripting.
• Deep understanding and practical experience with AWS Glue, AWS Redshift, S3, and other AWS data services.
• Solid understanding of SQL and database optimization techniques.
• Experience working with large-scale data pipelines and high-volume data environments.
• Good knowledge of data modeling, warehousing, and performance tuning.

Preferred/Good to Have:

• Experience with workflow orchestration tools like Airflow or Step Functions.
• Familiarity with CI/CD for data pipelines.
• Knowledge of data governance and security best practices on AWS.

Responsibilities:

●     Design and develop websites and web applications from initial concept, site architecture, and user interface to finished deliverables.

●     Write clean, secure, test-driven, easily maintainable and modular codes adhering to the technical standards.

●     Database designing and maintenance.

●     Create and update reusable code libraries to streamline the development cycle.

●     Ensure HTML, CSS, and shared JavaScript is valid and consistent across applications

●     Collaborate and work with front-end/mobile developers on the backend needs of projects.

●     Client communication (verbal/written) as and when required.

Required Skills:

●     Previous working experience as a PHP / Laravel developer. Experience in CMS like Drupal and WordPress will be an added advantage.

●     Excellent knowledge of the Laravel framework and experience building factories/facades/libraries using abstract classes, interfaces, and traits.

●     Good knowledge of RDBMS (MySQL/MS SQL/PostgreSQL), database designing and query optimization techniques.

●     Good core knowledge of HTML5, CSS3, jQuery and Bootstrap framework.

●     Hands-on experience in RESTful API design and development, including implementing oAuth2.0 for authentication and authorization.

●     Strong problem-solving and analytical skills.

●     Excellent communication (verbal/written) skills.

• Responsible for requirements understanding, propose architecture, detailed design,
• development and timely deliverables with the highest quality standards.
• We are looking for Product creators who can work with minimum inputs from business and are able to deliver products quickly and with quality.
• This person should have worked in Enterprise class product from scratch.
• Start-up experience would be highly desirable.
• Tech Stack: React.js, HTML, CSS, AWS, MySQL, Razor Pay, Google Analytics, SEO, Dev Ops, CI/CD Pipeline

Java with cloud

• Building marketing programs to support specific marketing objectives across different channels and segments in support of the overall strategic marketing plan.
• Working with marketing agency partners to plan and execute digital app acquisition campaigns on channels like Google, Facebook and other digital platforms.
• Measuring and reporting performance of all digital marketing campaigns, and assessing against goals (ROI and KPIs).
• Leading the execution of marketing programs from start to finish, driving collaboration with the stakeholders and leveraging the right internal processes and team players.
• Making analytics and data-driven decisions to optimize acquisition & retention strategy (funnel improvement, In-app engagement, ROAS, LTV etc.).
• Providing complete performance reporting and analysis on all mobile marketing campaigns and taking relevant action on insights gained.
• Taking KRAs and brand objective ownership and commitment to meets goals and targets on a regular basis.
• Collaborating with the BD/ Sales teams to plan and execute various marketing initiatives such as events, SMS campaigns, sales training, partner collaboration etc.
• Working with cross-functional team (Product, Support, Sales) to establish growth strategies to support app growth and user acquisition targets.

• Experience in App Marketing in B2B domain is preferred.
• Minimum 4-7 years of professional experience in similar/relevant roles.
• Prior experience in performance marketing / digital marketing / growth role is a plus.
• Masters/MBA is preferred but not required.
• Familiarity with - Google Playstore/Console, Firebase/Branch/MixPanel, Appsflyer/TUNE etc.
• Proven track record of delivering user acquisition growth, retention, and optimization across key mobile metrics is a plus.
• Strong analytical skills: bias toward decision making based on data, and good proficiency with Excel and using it to configure, analyze, and present data.
• Ability to think and react in a high-energy, fast-paced environment.
• Good organizational skills including prioritizing, scheduling, time management, and meeting deadlines.