Sales - Marketing lead

Location: Baner, Pune.

Experience Level: 8+ Yrs.

Experience Level: UK Shift (1:00 PM – 10:00 PM)

Key Skills & Responsibilities:

• Lead the design, configuration, and implementation of SAP modules (e.g., MM, SD)

based on business requirements.

• Collaborate with business stakeholders to gather, analyze, and document functional

requirements.

• Strong functional expertise in SAP MM, and SD modules with focus on invoice

processing, tax configuration, and statutory reporting.

• Translate business needs into SAP solutions through process mapping and best practice

recommendations.

• Oversee the development of functional specifications for RICEFW objects (Reports,

Interfaces, Conversions, Enhancements, Forms, Workflows).

• Work with business stakeholders to understand statutory and good to have E-invoicing

knowledge

• Map business requirements to SAP functionalities, primarily within MM, and SD

modules.

• Coordinate with ABAP and middleware teams for API integration between SAP and

the government’s e-invoice/GST portal or third-party providers.

• In-depth knowledge of IDoc processing, troubleshooting, and interface management.

• Good understanding of API-based integrations between SAP and government/third-

party systems

• Excellent in preparing documentation (FS, TS, UAT scripts), and support go-live

activities.

• Manage change requests, issue resolution, and enhancements post-implementation.

• Provide functional guidance to junior consultants and coordinate across cross-functional

SAP teams.

• Prepare and present project status reports to management and stakeholders.

We are looking for someone who: ● Has 3+ years of experience working as a Backend Developer in high-growth consumer internet companies ● Is proficient in building RESTful APIs, has a strong understanding of relational and non-relational databases ● Prior working knowledge of Python/Django is a big plus ● Familiarity with modern CI/CD tools ● Knowledge of AWS or any other Cloud Platform services ● Ability to analyze and convert business requirements into technical requirements ● Has a high sense of ownership and a bias for action ● Is a people’s person and can lead without authority What will they be responsible for ● They will work on one or more of the tracks mentioned above ● Own the end-to-end delivery - design, execute, test and deploy ● Work as an individual contributor, champion code quality ● Build and train a team of rockstar engineers as the organization grows Why should this role excite you We are just getting started and people who join us at this juncture will: ● Do fulfilling, high-impact work ● Work directly with the founders and engineering leads ● Own and deliver, get complete ownership of whatever you do ● Work with colleagues from strong diverse backgrounds ● Solve a problem that millions of Indians are emotionally attached to but hasn’t seen any innovation ● Learn and grow at an unprecedented pace Tactical details ● Current stack: Python/Django, React, Kafka, Docker, AWS ● Location: Bengaluru (Work from office) ● Compensation: Structured as Fixed + ESOPs

• Partnering with internal business owners (product, marketing, edit, etc.) to understand needs and develop custom analysis to optimize for user engagement and retention
• Good understanding of the underlying business and workings of cross functional teams for successful execution
• Design and develop analyses based on business requirement needs and challenges.
• Leveraging statistical analysis on consumer research and data mining projects, including segmentation, clustering, factor analysis, multivariate regression, predictive modeling, etc.
• Providing statistical analysis on custom research projects and consult on A/B testing and other statistical analysis as needed. Other reports and custom analysis as required.
• Identify and use appropriate investigative and analytical technologies to interpret and verify results.
• Apply and learn a wide variety of tools and languages to achieve results
• Use best practices to develop statistical and/ or machine learning techniques to build models that address business needs.

• 2 - 4 years  of relevant experience in Data science.
• Preferred education: Bachelor's degree in a technical field or equivalent experience.
• Experience in advanced analytics, model building, statistical modeling, optimization, and machine learning algorithms.
• Machine Learning Algorithms: Crystal clear understanding, coding, implementation, error analysis, model tuning knowledge on Linear Regression, Logistic Regression, SVM, shallow Neural Networks, clustering, Decision Trees, Random forest, XGBoost, Recommender Systems, ARIMA and Anomaly Detection. Feature selection, hyper parameters tuning, model selection and error analysis, boosting and ensemble methods.
• Strong with programming languages like Python and data processing using SQL or equivalent and ability to experiment with newer open source tools.
• Experience in normalizing data to ensure it is homogeneous and consistently formatted to enable sorting, query and analysis.
• Experience designing, developing, implementing and maintaining a database and programs to manage data analysis efforts.
• Experience with big data and cloud computing viz. Spark, Hadoop (MapReduce, PIG, HIVE).
• Experience in risk and credit score domains preferred.

Hiring Telecaller and Team lead

Tele calling

Follow up

Reporting

For Team lead : Managing team and handlling new hiring

• Deploy company Application on customer public cloud and on-premise data centers
• Building Kubernetes based workflows for wide variety of use cases
• Document and Automate the deployment process for internal and external deployments
• Interacting with customers over call to deployment and debugging
• Deployment and Product Support

Desired Skills and Experience

• 4-6 years of experience in infrastructure development, or development and operations.
• Minimum 2+ years of experience in docker and kubernetes.
• Experience working with Docker and Kubernetes. Aware of Kubernetes Internals, Networking etc. Experience with Linux infrastructures tools.
• Good interpersonal skills and communication with all levels of management.
• Extensive experience in setting up Kubernetes on AWS, Azure etc.

Good to Have

• Familiarity with Big Data Tools like Hadoop, Spark.
• Experience with Java Application Debugging.
• Experience in monitoring tools like Prometheus, Grafana etc