Senior Product Manager

Work Location: TVM/Kochi/Bangalore

Experience: 6-10years

• At least 5 years of experience in SailPoint IdentityIQ architecture, design, development, configuration, testing, integration, and deployment. 
• Must have experience in application onboarding, provisioning, workflow customization, access review etc. 
• SailPoint connector development experience with both out-of-the-box and custom connectors. 
• Sound experience in developing applications using Java, JEE components. 
• At least 3+ year of experience with Java, BeanShell/JavaScript, JSP/Servlets, SQL, Powershell, and XML. 
• Experience in any other IDM suite (OIM, IBM, Sun, CA, Novell) is an added advantage 
•  

Job Description

• Independently own one or more multiple modules, which includes: requirement analysis, design, development, maintenance & support
• Write extensive, efficient code to address complex modules and that handles interaction between multiple components.
• Rapidly iterate to add new functionalities and solves complex problems with simple and intuitive solutions
• Produce architecture with clean interfaces, that are efficient and scalable
• Participate and contribute to architectural discussions
• Perform design and code reviews
• Perform technical feasibility and trade off studies & guides others to perform these studies
• Solve production issues. Investigate and provide solutions to minimize the business impact due to outage
• Continuously improve performance metrics of modules you own.
• Collaborate effectively across teams to solve problems, execute and deliver results

Requirements

• 2+ years of relevant industry experience in MERN stack
• A deep understanding of JavaScript
• Experience working with SQL and NoSQL databases
• Experience with Unit and Integration tests
• Experience with CI/CD
• Experience with MathJax/Latex
• Experience with large scale video streaming

Roles & Responsibilities:

• Responsible for handling enquiries and getting the enrollments done over the phone.

• Performing counseling & career guidance to working professionals via phone.

• Responsible for converting prospects into Enrollment.

• Responsible for resolving queries related to the course offered.

• Responsible for maintaining day to day reports as required.

Key Skills Required:

• Must have effective communication skills & convincing power.

• Should be comfortable for telesales/ inside sales

• Should have relevant experience in telesales/ inside sales.

• Should be at least graduate.

We are seeking a skilled and motivated Python Full Stack Developer to join us. The ideal candidate will have experience with Python, JavaScript and its related technologies, as well as a passion for developing efficient and scalable software solutions.

Responsibilities:

• Design and develop high-quality, scalable applications using Python, Django, DRF, FastAPI and JavaScript frameworks such as React or Vue.js
• Analyze business requirements and develop software solutions to meet those needs
• Write clean, maintainable, and efficient code
• Test software solutions to ensure they meet performance, scalability, and reliability requirements
• Debug and troubleshoot issues in the software
• Stay up-to-date with emerging trends and technologies in Python development

Qualifications:

• Bachelor's or Master's degree in Computer Science or related field
• At least 2 years of experience in developing applications using Python, Django, DRF or FastAPI.
• At least 2 years of experience in using front-end JavaScript frameworks such as Jquery, React or Vue.js
• Experience with database technologies such as PostgreSQL and MongoDB
• Experience with AWS or other cloud platforms
• Ability to write clean and maintainable code
• Strong analytical and problem-solving skills
• Excellent written and verbal communication skills

Nice to have:

• Knowledge of Trading in stocks, forex, futures etc.
• Knowledge of automated trading
• Experience with Different Trading Platforms

We offer:

• Competitive salary
• Flexible working hours

Job Types: Full-time, Regular / Permanent

Salary: ₹400,000.00 - ₹10,000.00 per year

Benefits:

• Flexible schedule

Schedule:

• Day shift
• Monday to Friday

Supplemental pay types:

• Overtime pay
• Yearly bonus
• Performance-based bonus

Ability to commute/relocate:

• Mondeal heights, SG Highway, Ahmedabad - 380015, Gujarat: Reliably commute or planning to relocate before starting work (Required)

Education:

• Bachelor's (Preferred)

Experience:

• Python: 1-3 years (Required)
• JavaScript: 1-3 years (Required)

• Evaluating business processes, anticipating requirements, uncovering areas for improvement, and developing and implementing solutions.
• Leading ongoing reviews of business processes and developing optimization strategies.
• Staying up-to-date on the latest process and IT advancements to automate and modernize systems.
• Conducting meetings and presentations to share ideas and findings.
• Performing requirements analysis.
• Documenting and communicating the results of your efforts.
• Effectively communicating your insights and plans to cross-functional team members and management.
• Gathering critical information from meetings with various stakeholders and producing useful reports.
• Working closely with clients, technicians, and managerial staff.
• Providing leadership, training, coaching, and guidance to junior staff.
• Allocating resources and maintaining cost efficiency.
• Ensuring solutions meet business needs and requirements.
• Performing user acceptance testing.
• Managing projects, developing project plans, and monitoring performance.
• Updating, implementing, and maintaining procedures.
• Prioritizing initiatives based on business needs and requirements.
• Serving as a liaison between stakeholders and users.
• Managing competing resources and priorities.
• Monitoring deliverables and ensuring timely completion of projects.

 Requirements:

• A minimum of 5 years of experience in business analysis or a related field.
• Exceptional analytical and conceptual thinking skills.
• The ability to influence stakeholders and work closely with them to determine acceptable solutions.
• Advanced technical skills.
• Excellent documentation skills.
• Fundamental analytical and conceptual thinking skills.
• Experience creating detailed reports and giving presentations.
• Competency in Microsoft applications including Word, Excel, and Outlook.
• A track record of following through on commitments.
• Excellent planning, organizational, and time management skills.
• Experience leading and developing top-performing teams.
• A history of leading and supporting successful projects.

About Mudrantar Solutions Private Limited 

Mudrantar Solutions Pvt. Ltd. is a wholly owned subsidiary of the US based startup, Mudrantar Corporation. Mudrantar is a well-funded startup focused on disruptive changes in the Accounting Software for Small, Medium as well as Large businesses in India. Our state-of-the-art OCR + Machine Learning Technology allows customers to simply take photos and our software does the rest of the heavy lifting. Our strategy for CAs, CS and Tax Practitioners is realized through web access for our customers to manage their practice and also manage client communication through freely available mobile app. We also offer data entry automation services through AI/ML platform. 

Product Manager 

As a Product Engineering Manager in the SaaS industry, you will use your unique blend of business and technical savvy to create product strategies that solve user challenges to drive revenue growth via increased adoption and retention. This role is responsible for driving Mudrantar’s SaaS roadmap towards building a scalable, intelligent and modular Practice Management System to increase profitability and productivity for our customers. 

Our products, MScan and DocBins are already being used by Practice Professionals in India as well as USA. If you are interested in building the next big thing, creating a global impact on millions of users, have a passion for making data work for you, and want to own a product in the near future, this is the place for you. From a career growth perspective, there are few better product organizations to be in, where you will be able to work, learn, and grow at this pace.  

Position 

• Full time employment 

Location 

• Any location in India 

Requirements 

• Develop and lead the product vision and strategy for Mudrantar SaaS Product 
• Understand the jobs to be done for the product, synthesize those needs to shape the product roadmap for a suite of products & services, and define key metrics 
• Strategically assess new opportunities and develop alignment around these 
• Collaborate and build executive alignment for your vision 

• Foster a community of data-informed decision making 
• Provide hands-on leadership for teams consisting of top-notch engineers and Managers 
• Create clear career paths for team members and help them grow with regular and deep mentoring. 
• Perform regular performance evaluation and share and seek feedback. 

Who will be ideal for this role? 

• 3+ years of work experience in the SaaS Product Management team and can translate product strategy into detailed requirements and prototypes. 
• Love candidates having First Principles Thinking, Bias for Action, & Strong opinions, loosely held. 
• Customer Obsessed: Gain deep understanding of customer experience, identify and fill product gaps and generate new ideas that grow market share, improve customer experience and drive growth 

• Impact-driven: Ability to work with engineers and designers to deliver key results. 
• Follows Ship now, Perfect later: iterative development principles and practices, including breaking large product goals into small, achievable slices for early and frequent delivery. 

Nice to have 

• Bachelor's Degree and/or equivalent Computer Science course 
• 3+ years programming experience with exposure to Python, NodeJS, VueJS, ExpressJS 

• Demonstrable track record of SaaS product Development and Team Management 
• Strong written and verbal communication skills 

What we offer: 

• Opportunity to work in a Fast-growing Start-Up with lucrative compensation benefits 
• Working directly with the leaders; having high level of work independence, autonomy and empowerment to lead company-wide changes 

• Work with a market dominating technology 
• Being part of a start-up from an early stage, lead your area of expertise and be a part of this exciting growth journey 
• Excellent opportunity for learning how to build teams, achieve goals and handle high growth situations. Ideal for people with entrepreneurial ambitions 

Required:

- Strong background in, and at least 3+ years of working in tooling or QA automation

- Thorough understanding of SDLC, specifically automated QA processes in agile development environments

- Experience in writing, executing and monitoring automated test suites using a variety of technologies

- Proficient with bug tracking and test management toolsets to support development processes

- Strong working knowledge of testing fundamentals such as TDD & BDD

- Proficient working with relational databases such as MySQL & PostreSQL

- Some knowledge of Unix/Linux

Desired Skills:

- Building test infrastructures using containerization technologies such as Docker and working within continuous

delivery / continuous release pipeline processes

- Testing enterprise applications deployed to cloud environments such as Google Cloud Platform

- Experience mentoring QA staff and end users on quality objectives and testing processes

- Understanding of coding enterprise applications within Java, PHP, and other languages

- Understanding of NoSQL database technologies such as MongoDB or DynamoDB

- Degree level qualifications in a technical related subject

- Proactive 'self-starter' attitude

- Lifelong learner - thrives from developing and sharing knowledge

We are looking for an outstanding ML Architect (Deployments) with expertise in deploying Machine Learning solutions/models into production and scaling them to serve millions of customers. A candidate with an adaptable and productive working style which fits in a fast-moving environment.

Skills:

- 5+ years deploying Machine Learning pipelines in large enterprise production systems.

- Experience developing end to end ML solutions from business hypothesis to deployment / understanding the entirety of the ML development life cycle.
- Expert in modern software development practices; solid experience using source control management (CI/CD).
- Proficient in designing relevant architecture / microservices to fulfil application integration, model monitoring, training / re-training, model management, model deployment, model experimentation/development, alert mechanisms.
- Experience with public cloud platforms (Azure, AWS, GCP).
- Serverless services like lambda, azure functions, and/or cloud functions.
- Orchestration services like data factory, data pipeline, and/or data flow.
- Data science workbench/managed services like azure machine learning, sagemaker, and/or AI platform.
- Data warehouse services like snowflake, redshift, bigquery, azure sql dw, AWS Redshift.
- Distributed computing services like Pyspark, EMR, Databricks.
- Data storage services like cloud storage, S3, blob, S3 Glacier.
- Data visualization tools like Power BI, Tableau, Quicksight, and/or Qlik.
- Proven experience serving up predictive algorithms and analytics through batch and real-time APIs.
- Solid working experience with software engineers, data scientists, product owners, business analysts, project managers, and business stakeholders to design the holistic solution.
- Strong technical acumen around automated testing.
- Extensive background in statistical analysis and modeling (distributions, hypothesis testing, probability theory, etc.)
- Strong hands-on experience with statistical packages and ML libraries (e.g., Python scikit learn, Spark MLlib, etc.)
- Experience in effective data exploration and visualization (e.g., Excel, Power BI, Tableau, Qlik, etc.)
- Experience in developing and debugging in one or more of the languages Java, Python.
- Ability to work in cross functional teams.
- Apply Machine Learning techniques in production including, but not limited to, neuralnets, regression, decision trees, random forests, ensembles, SVM, Bayesian models, K-Means, etc.

Roles and Responsibilities:

Deploying ML models into production, and scaling them to serve millions of customers.

Technical solutioning skills with deep understanding of technical API integrations, AI / Data Science, BigData and public cloud architectures / deployments in a SaaS environment.

Strong stakeholder relationship management skills - able to influence and manage the expectations of senior executives.
Strong networking skills with the ability to build and maintain strong relationships with both business, operations and technology teams internally and externally.

Provide software design and programming support to projects.

 Qualifications & Experience:

Engineering and post graduate candidates, preferably in Computer Science, from premier institutions with proven work experience as a Machine Learning Architect (Deployments) or a similar role for 5-7 years.