11+ Order to cash Jobs in Hyderabad | Order to cash Job openings in Hyderabad

Role & Responsibilities

Key Responsibilities

• Manage and improve master data across customer, product, entitlement, account hierarchy, product catalog, subscription, contract, billing, and revenue domains.
• Configure and support MDM platform capabilities, including data models, match and merge rules, survivorship rules, hierarchy management, validation rules, workflows, reference data, and data quality rules.
• Support integration of master data between MDM platforms and operational systems such as Salesforce CRM, Salesforce CPQ, Salesforce Revenue Cloud, billing, ERP, data lake, and reporting platforms.
• Assist with customer golden record creation, account hierarchy management, deduplication, data standardization, and Customer 360 enablement.
• Support product taxonomy and product catalog data needed for CPQ bundles, pricing rules, eligibility rules, commercial BOMs, and quote-to-cash automation.
• Maintain entitlement and subscription data, including customer-to-product mappings, lifecycle status, renewals, amendments, upsells, and install base visibility.
• Perform data profiling, cleansing, reconciliation, validation, issue resolution, and root-cause analysis across multiple systems.
• Document data definitions, business rules, source-to-target mappings, lineage, stewardship processes, and remediation actions.
• Partner with Sales Operations, Revenue Operations, Finance, Product Operations, Customer Success, IT, Data Governance, and Enterprise Architecture teams.

Ideal Candidate

• Strong Master Data Management (MDM) Specialist Profile.
• Mandatory (Experience 1) – Must have 3+ years of experience in Master Data Management (MDM), Data Governance, Data Quality, Data Operations, Revenue Operations, Sales Operations, Product Operations, or Enterprise Data Management roles.
• Mandatory (Experience 2) – Must have hands-on experience working with an enterprise MDM platform such as Informatica MDM, Informatica IDMC, Reltio, or any comparable Master Data Management solution.
• Mandatory (Experience 3) – Must have strong experience managing one or more master data domains including Customer Master, Product Master, Product Catalog, Account Hierarchy, Subscription, Contract, Billing, Revenue, Entitlement, or Reference Data.
• Mandatory (Experience 4) – Must have working knowledge of business processes such as CRM, CPQ, Quote-to-Cash (QTC), Order-to-Cash (OTC), Billing, Entitlement Management, Subscription Management, Contract Management, or Revenue Operations.
• Mandatory (Experience 5) – Must have strong understanding of core MDM concepts including Golden Record Creation, Match & Merge Rules, Survivorship Rules, Reference Data Management, Hierarchy Management, Data Stewardship Workflows, Data Quality Rules, and Cross-System Data Synchronization.
• Mandatory (Experience 6) – Must have hands-on experience in data profiling, cleansing, standardization, deduplication, validation, reconciliation, remediation, and data quality improvement initiatives.
• Mandatory (Hike) - AUXO AI follows a compensation policy of offering up to 25% hike on the candidate's current CTC. Candidates whose expectations exceed this range should be screened out during the initial discussion.
• Mandatory (Note) - Only immediate joiners who are available to join within 15 days are considered.
• Mandatory (Domain) – Must have experience working in SaaS, Subscription-based Businesses, Technology Companies, Enterprise Software Organizations, Cloud Product Companies, or Digital Platforms.
• Preferred (Salesforce Ecosystem) – Experience working with Salesforce CRM, Salesforce CPQ, Salesforce Revenue Cloud, Sales Cloud, Service Cloud, or Customer 360 implementations.
• Preferred (MDM Products) – Experience with Informatica Customer 360, Product 360, Reference 360, Cloud Data Quality, Cloud Data Governance, Reltio Connected Data Platform, or Reltio Data Cloud.
• Preferred (Integration Experience) – Experience integrating MDM platforms with Salesforce, CPQ, Billing Systems, ERP Applications, Data Warehouses, Data Lakes, Lakehouse Platforms, or Enterprise Reporting Solutions.

CORE RESPONSIBILITIES

• Create and manage cloud resources in AWS 
• Data ingestion from different data sources which exposes data using different technologies, such as: RDBMS, REST HTTP API, flat files, Streams, and Time series data based on various proprietary systems. Implement data ingestion and processing with the help of Big Data technologies 
• Data processing/transformation using various technologies such as Spark and Cloud Services. You will need to understand your part of business logic and implement it using the language supported by the base data platform 
• Develop automated data quality check to make sure right data enters the platform and verifying the results of the calculations 
• Develop an infrastructure to collect, transform, combine and publish/distribute customer data.
• Define process improvement opportunities to optimize data collection, insights and displays.
• Ensure data and results are accessible, scalable, efficient, accurate, complete and flexible 
• Identify and interpret trends and patterns from complex data sets 
• Construct a framework utilizing data visualization tools and techniques to present consolidated analytical and actionable results to relevant stakeholders. 
• Key participant in regular Scrum ceremonies with the agile teams  
• Proficient at developing queries, writing reports and presenting findings 
• Mentor junior members and bring best industry practices 

QUALIFICATIONS

• 5-7+ years’ experience as data engineer in consumer finance or equivalent industry (consumer loans, collections, servicing, optional product, and insurance sales) 
• Strong background in math, statistics, computer science, data science or related discipline
• Advanced knowledge one of language: Java, Scala, Python, C# 
• Production experience with: HDFS, YARN, Hive, Spark, Kafka, Oozie / Airflow, Amazon Web Services (AWS), Docker / Kubernetes, Snowflake  
• Proficient with
• Data mining/programming tools (e.g. SAS, SQL, R, Python)
• Database technologies (e.g. PostgreSQL, Redshift, Snowflake. and Greenplum)
• Data visualization (e.g. Tableau, Looker, MicroStrategy)
• Comfortable learning about and deploying new technologies and tools. 
• Organizational skills and the ability to handle multiple projects and priorities simultaneously and meet established deadlines. 
• Good written and oral communication skills and ability to present results to non-technical audiences 
• Knowledge of business intelligence and analytical tools, technologies and techniques.

Mandatory Requirements 

• Experience in AWS Glue
• Experience in Apache Parquet 
• Proficient in AWS S3 and data lake 
• Knowledge of Snowflake
• Understanding of file-based ingestion best practices.
• Scripting language - Python & pyspark

JOB DETAILS:

* Job Title: Tester III - Software Testing (Automation testing + Python + AWS)

* Industry: Global digital transformation solutions provide

* Salary: Best in Industry

* Experience: 4 -10 years

* Location: Hyderabad

Job Description

Responsibilities:

• Develop, maintain, and execute automation test scripts using Python.
• Build reliable and reusable test automation frameworks for web and cloud-based applications.
• Work with AWS cloud services for test execution, environment management, and integration needs.
• Perform functional, regression, and integration testing as part of the QA lifecycle.
• Analyze test failures, identify root causes, raise defects, and collaborate with development teams.
• Participate in requirement review, test planning, and strategy discussions.
• Contribute to CI/CD setup and integration of automation suites.

Required Experience:

• Strong hands-on experience in Automation Testing.
• Proficiency in Python for automation scripting and framework development.
• Understanding and practical exposure to AWS services (Lambda, EC2, S3, CloudWatch, or similar).
• Good knowledge of QA methodologies, SDLC/STLC, and defect management.
• Familiarity with automation tools/frameworks (e.g., Selenium, PyTest).
• Experience with Git or other version control systems.

Good to Have:

• API testing experience (REST, Postman, REST Assured).
• Knowledge of Docker/Kubernetes.
• Exposure to Agile/Scrum environment.

Skills: Automation testing, Python, Java, ETL, AWS

About Superclaims

Superclaims modernizes health insurance claims adjudication with intelligent automation. We help insurers and TPAs replace manual, document-heavy workflows with faster, more accurate decisions at scale.

Role: Python Backend Developer

We are looking for a Python Backend Developer who is excited to build AI-powered automation products in a fast-paced startup environment.

What you'll do

- Build and maintain scalable backend systems and APIs

- Develop intelligent data extraction pipelines using AI/ML

- Design and implement agentic workflows with LangGraph

- Design efficient database schemas and optimize queries in PostgreSQL

- Integrate and work with LLMs (OpenAI, Gemini, or similar)

- Collaborate with product, frontend, and data teams to deliver end-to-end features

- Write clean, tested, and well-documented code

Must-have skills

- Strong proficiency in Python and a modern web framework (FastAPI or similar)

- Experience with PostgreSQL and an ORM (SQLAlchemy preferred)

- Solid understanding of RESTful API design and best practices

- Hands-on experience or strong familiarity with LangGraph

- Experience working with LLMs (OpenAI, Gemini, or similar providers)

- Comfort with Git/version control and collaborative development workflows

Nice-to-have skills

- Experience with Docker and containerized deployments

- Knowledge of Redis for caching or background tasks

- Exposure to cloud platforms (GCP, AWS, or Azure)

- Experience with vector databases and retrieval-augmented generation

- Basic prompt engineering skills

- Experience with object storage (S3/MinIO)

What we're looking for

- 1+ years of Python backend development experience (open to exceptional freshers)

- Fast learner with genuine curiosity about AI/ML and automation

- Prior startup experience preferred

- Ownership mindset, bias for action, and comfort with ambiguity

- Ready to relocate to Hyderabad (work location)

How to apply

Please share:

- Your resume

- GitHub/Portfolio link

- A brief note on why you're interested in AI-powered automation and Superclaims

Job Title: Technical Program Manager

Location: Hyderabad

Type: Full-time

Experience: 5+ years

Company: RaptorX.ai

About RaptorX

RaptorX is a next-gen AI platform for real-time financial crime detection, founded by leaders from Microsoft, Zscaler, and Palo Alto Networks.

If you're excited by AI, security, graphs, and building systems that matter—join us.

What You’ll Do

As a Technical Program Manager (TPM) at RaptorX, you will:

Own and drive complex, cross-functional AI and fraud detection initiatives from concept to deployment.

Work closely with product managers, engineers, data scientists, and external stakeholders to define scope, success metrics, and timelines.

Create detailed execution plans and ensure on-time delivery while maintaining high quality.

Identify risks early, resolve blockers, and communicate progress clearly across teams and leadership.

Champion best practices in documentation, sprint planning, release tracking, and cross-team alignment.

Act as the glue between technical execution and strategic vision—keeping us agile and accountable as we scale.

What You Bring

5+ years of technical program/project management experience in fast-paced product or AI/ML environments.

Strong understanding of AI/ML pipelines, data infrastructure, APIs, or security/fraud detection systems.

Experience working with technical teams—especially engineering and data science.

A bias for action, ownership, and continuous improvement.

Excellent communication and stakeholder management skills.

Bonus: Exposure to graph databases, fraud/risk, LLMs, or fintech.

Why RaptorX?

Work on cutting-edge fraud detection problems with real-world impact.

Collaborate with a mission-driven, founder-led team that values autonomy, creativity, and speed.

Shape the future of a fast-growing startup backed by deep domain expertise.

Job Description-

Responsibilities:

* Work on real-world computer vision problems

* Write robust industry-grade algorithms

* Leverage OpenCV, Python and deep learning frameworks to train models.

* Use Deep Learning technologies such as Keras, Tensorflow, PyTorch etc.

* Develop integrations with various in-house or external microservices.

* Must have experience in deployment practices (Kubernetes, Docker, containerization, etc.) and model compression practices

* Research latest technologies and develop proof of concepts (POCs).

* Build and train state-of-the-art deep learning models to solve Computer Vision related problems, including, but not limited to:

* Segmentation

* Object Detection

* Classification

* Objects Tracking

* Visual Style Transfer

* Generative Adversarial Networks

* Work alongside other researchers and engineers to develop and deploy solutions for challenging real-world problems in the area of Computer Vision

* Develop and plan Computer Vision research projects, in the terms of scope of work including formal definition of research objectives and outcomes

* Provide specialized technical / scientific research to support the organization on different projects for existing and new technologies

Skills:

* Object Detection

* Computer Science

* Image Processing

* Computer Vision

* Deep Learning

* Artificial Intelligence (AI)

* Pattern Recognition

* Machine Learning

* Data Science

* Generative Adversarial Networks (GANs)

* Flask

* SQL

• Proficient in the development of Base Software in AUTOSAR.
• Experience in configuration of different AUTOSAR BSW components (Comms/DCM/DEM/Memory etc.)
• Experience working in any of the commercial AUTOSAR