UX Product Designer (B2C, Fin-Tech)

Role & Responsibilities:

We are seeking a Software Developer with 5-10 year’s experience with strong foundations in Python, databases, and AI technologies.

The ideal candidate will support the development of AI-powered solutions, focusing on LLM integration, prompt engineering, and database-driven workflows.

This is a hands-on role with opportunities to learn and grow into advanced AI engineering responsibilities.

Key Responsibilities :

• Develop, test, and maintain Python-based applications and APIs.

• Design and optimize prompts for Large Language Models (LLMs) to improve accuracy and performance.

• Work with JSON-based data structures for request/response handling.

• Integrate and manage PostgreSQL (pgSQL) databases, including writing queries and handling data pipelines.

• Collaborate with the product and AI teams to implement new features.

• Debug, troubleshoot, and optimize performance of applications and workflows.

• Stay updated on advancements in LLMs, AI frameworks, and generative AI tools.

About the role 

Most QA teams test software. We want someone who builds a machine that gets better at testing software every time it encounters a bug. 

This is not a role for someone who "uses AI tools." This is a role for someone who thinks like an architect. You will design a QA system that is legible to machines — structured, documented, and self-improving — so that the knowledge of every bug ever found is permanently encoded, queryable, and feeds back into the next test cycle. The goal is simple: the longer you are here, the harder it should be for us to ship a bug. 

You will own quality for Cash, a digital lending app (short-term personal loans) on Android and web — and that ownership extends from the front end all the way through to the back end. 

You are the first QA hire. You will build this function from scratch. 

There is no existing QA process today. No tooling is chosen. No taxonomy exists. No team is in place. You are the founding hire for this function.

Your first 60 to 90 days will be spent laying the foundation: choosing the tools, defining the bug taxonomy, writing the first skills, and establishing what "done" means across the engineering org. Once that foundation is stable, you will define the team structure you need, propose it, and then lead the hiring yourself. The engineers who join QA after you will be hired because you decided you needed them. 

This is a founder-mode role inside an engineering team. It requires someone who is energised by a blank canvas, not someone who wants to inherit a mature process. 

If you have spent your career executing inside an established QA function and are looking for more of the same, this is not the right role. If you have wanted the mandate to build the system properly from day one and have never had it — this is that opportunity. 

What you will own 

The knowledge base 

Every bug you find — whether in QA or in production — gets documented in a structured, machine-readable format. Not just "what broke" but: what flow triggered it, what the borrower context was, what data state preceded it, what the expected behaviour was, what the actual behaviour was, and which class of error it belongs to. Over time, this becomes Cash's QA Wikipedia — a corpus that an LLM can read and use to generate new test cases, that a new engineer can query to understand failure patterns, and that you can analyse to find where the product keeps breaking. 

This is not documentation for its own sake. It is infrastructure. The test suite is only as good as the knowledge base behind it. 

Skills, not scripts 

For every recurring testing workflow — new feature regression, release smoke test, critical-path sanity check, payment flow validation — you will build a skill: a reusable,

prompt-able test protocol that is AI-executable. When a new engineer joins, they run the skill. When an AI agent is asked to help test a release, it reads the skill. The skill improves every time a bug gets through it. 

The feedback loop 

Every production issue must close the loop. When a bug is found in production, you trace back why the QA cycle did not catch it, update the relevant skill, and add the scenario to the knowledge base. No bug should be found in production twice for the same underlying reason. 

Coverage — front end and back end 

Front end (Android and web) 

● Onboarding and Know Your Customer — Aadhaar/PAN flows, video KYC, bureau pulls 

● Loan application and eligibility decisions — rule engine outcomes, edge cases across credit tiers 

● Disbursement — payment gateway integration, failure states, retry logic

● Repayment — in-app payments, auto-debit, partial payment handling

● Collections and dunning — overdue flows, notification logic, settlement scenarios

● Regulatory compliance — Reserve Bank of India guidelines on digital lending, fair practices code, key fact statement display 

● Cross-platform consistency — Android app and web admin panel 

Back end 

● API contract testing — request/response behaviour, error codes, edge-case inputs

● Rule engine validation — confirming that credit decisioning, eligibility, and pricing logic produces correct outputs for known borrower profiles, including boundary cases

● Data integrity checks — verifying that the right records are created, updated, or flagged after key events (disbursement, repayment, status transitions)

● Integration testing — bureau, KYC provider, payment gateway, and notification service behave correctly end-to-end 

● Regression on back-end changes — any service update, migration, or config change must pass a defined back-end test protocol before reaching production 

Failure-state and idempotency testing 

Disbursements and repayments involve real money. What happens if the payment gateway times out mid-disbursement? What happens if a repayment webhook is delivered twice? What happens when a bureau call fails mid-application? You will own failure-path and retry-logic testing explicitly — not as an edge case, but as a first-class part of every release cycle. 

Audit trail and logging validation 

Every significant event in the borrower lifecycle — application submitted, bureau pulled, decision made, loan disbursed, repayment received — must produce a correct, complete, and tamper-evident audit log. You will test that these logs are accurate. In a regulatory inquiry or a borrower dispute, the audit trail is the evidence. 

Security testing (functional) 

You will own a security testing checklist covering: whether borrower data is exposed in API responses or logs, whether sessions expire correctly, whether API responses are correctly scoped to the authenticated user, and whether error messages leak sensitive information. This is not a penetration testing mandate — that is a separate engagement — but functional security hygiene is part of every release. 

Notification and communication testing 

sends SMS, push notifications, and WhatsApp messages at specific borrower lifecycle triggers. You will test correct trigger conditions, correct content, correct recipient,

and correct timing — including the case where the same event should not produce duplicate messages. 

Performance and load testing 

You will own a baseline load test that runs before major releases — simulating concurrent loan applications, concurrent repayments, and peak traffic scenarios. A lending app that degrades under campaign load is a trust problem, not just a technical one. 

Feature flag and staged rollout validation 

Cash introduces features to specific segments (by tier, cohort, or geography), you will verify that flags work correctly — users outside the target segment do not see the feature, and partial rollouts do not produce inconsistent back-end states. 

What good looks like in 90 days 

● Tooling chosen and set up: test management, bug tracking, and at least basic CI/CD integration 

● A structured bug taxonomy with at least five top-level failure classes, each with sub-types and historical examples 

● A skills library covering the five highest-risk flows (loan application, disbursement, repayment, KYC, collections) 

● Every production bug from the past three months documented in the knowledge base with root cause and skill update 

● A release checklist — covering both front end and back end — that an AI agent can execute the first 80% of independently 

What good looks like in 12 months 

● The knowledge base has enough signal to answer: which part of the product produces the most bugs per sprint, which bug class most often escapes to

production, and whether the front end or back end is the higher source of production risk 

● New features ship with skills pre-written as part of acceptance criteria, not as an afterthought 

● Back-end engineers treat you as a partner in the definition of done, not a gatekeeper at the end of the cycle 

● You have hired at least one QA engineer and defined the roadmap for the rest of the team 

● A measurable reduction in production escape rate compared to the baseline when you joined 

What we are looking for 

Non-negotiable: 

● 3+ years in QA for a fintech or digital lending product — loan origination, payments, or collections 

● Experience testing both front-end and back-end services — API testing, database state validation, and integration testing must be in your toolkit, not stretch goals ● Comfort with failure-path and edge-case thinking — happy-path testers need not apply 

● Proven habit of writing documentation that others actually use — not as a compliance exercise but as a tool 

● Hands-on experience using LLMs (Claude, GPT-4, Gemini) to generate test cases, analyse logs, or review coverage gaps 

● Ability to write basic automation scripts in Python or JavaScript — you do not need to be a developer, but you need to be able to build and maintain simple automated checks 

Strong signal:

● You have built something like a bug knowledge base before — even informally — and can show us what it looks like 

● You have thought about the difference between documentation as a record and documentation as infrastructure 

● You have worked in an environment where a decision made by a system had a direct financial consequence for an end user, and you understood the stakes that came with that 

● You have hired or mentored QA engineers before 

Why this role is different 

Most QA roles are reactive. A bug is found, a ticket is filed, the developer fixes it, QA closes it. The institutional knowledge of why that bug happened lives in someone's head or in a comment nobody will read again. 

We want the opposite: a QA function that compounds. Every bug makes the next release safer. Every production incident makes the test suite smarter. The person who builds that system is not a tester. They are an engineer of quality infrastructure.

Why Join Us? 

● Work directly with Founders: Mikhil Innani, former co-founder of PharmEasy and ex-Product Head at Hotstar, and Diksha Nangia, a former banker and CFA Charterholder 

● Best of both worlds: startup speed + listed company stability 

● High ownership, strong learning curve, and direct business impact ● A fast-paced, collaborative culture that values innovation, ownership, and bold thinking

Learn More About Us 

● Annual Report 2024–25 

● Vision Video 

1. Data Engineer

 Required skill set: AWS GLUE, AWS LAMBDA, AWS SNS/SQS, AWS ATHENA, SPARK, SNOWFLAKE, PYTHON

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 

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.

Familiarity and experience in the following is a plus:  

• AWS certification
• Spark Streaming 
• Kafka Streaming / Kafka Connect 
• ELK Stack 
• Cassandra / MongoDB 
• CI/CD: Jenkins, GitLab, Jira, Confluence other related tools

Position: Manager/Head- Data Scientist/Machine Learning Engineer

• Algorithm Development: Develop cutting-edge algorithms and predictive models to enhance customer experience, optimize inventory management, and drive sales growth
• AI/ML Model Building: Utilize expertise in data science and machine learning to create scalable AI models specifically tailored for both online platforms and brick-and-mortar stores, aiming to improve operational efficiency and customer engagement.
• Ecommerce Optimization: Collaborate with cross-functional teams to implement data-driven solutions for personalized recommendations, demand forecasting, and dynamic pricing strategies to drive online sales and enhance customer satisfaction.
• Deep Learning & Image Recognition: Leverage advanced techniques in deep learning and image recognition to develop innovative solutions for product categorization, visual search, and inventory tracking, optimizing product discovery and inventory management.
• Python Development: Proficiency in Python programming is essential for designing, implementing, and maintaining robust and scalable machine learning pipelines and models, ensuring efficient deployment and integration into existing systems.

Qualifications and Experience:

• Bachelor’s/Master’s degree in Computer Science, Data Science, Statistics, or related fields.
• 3 to 4 years of hands-on experience in data science, machine learning, and deep learning, preferably within the ecommerce or retail sector.
• Proven track record of successful implementation of AI/ML models with tangible business impact.
• Strong proficiency in Python, along with familiarity with relevant libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
• Experience working with image data, including feature extraction, object detection, and classification.
• Excellent problem-solving skills, ability to work independently, and communicate complex technical concepts effectively to diverse stakeholders.

Embedos is looking for super heroes, who can help us succeed in our endeavour of becoming a beacon for providing problem solving Industrial IoT Solutions.

Location: MUMBAI

VACANCY: 3 - 4

Embedos makes Controllers –Interface devices and cloud based Software solutions for Remote Monitoring and Control, Industry 4.0 Applications.

We are looking for Engineering super heroes, who have a flare and interest in Core hardware / firmware / embedded software/ Networking and web technologies.

We would want engineers who have wide interests and want to work on multiple specializations. Functions in the embedded domain

• Hardware design small signal /Tele communication/interface electronics/Digital /Latest Microprocessors STM , ESP ,interfaces , I2C, SPI / Peripherals / Schematics /PCB Routing

• Programming languages for embedded devices respective IDEs s, debugging systems

• RTOS, Real time programming concepts.

• Linux Kernel programming, peripheral drivers.

• Communication protocols like Modbus, CAN, OPC other industrial protocols.

• Open source software, documentation, versioning systems.

• Web technology, Web applications, Networking technology, Cloud Interfacing.

We invite you to come and join in our Core team to make this endeavour a success and share the rewards.

Embedos is looking for Super Heroes to work on cutting edge technology involving interfacing IoT enabled Firmware, cloud computing software, generating exciting user interfaces, developing API’s, designing web app architectures, deploying re - usable code and the works.

Pecksmart is looking to hire telecaller at our expereince centre

Key responsibilities:

High school diploma or equivalent.

Work experience as a Tele caller, Telemarketer, or a similar role in the Sales Department.

Professional certification in sales and marketing will be an advantage.

Great interpersonal skills.

Exceptional oral and written communication skills.

Strong organizational skills.

Ability to work in a team or individually as and when required.

Ability to manage and handle multiple tasks.

Exceptional attention to detail.

Hard-working individual.

Good time management abilities.

Strong decision-making skills.

Ability to tolerate stress and pressure.

We are looking for a Full Stack Developer who is proficient in NodeJS, React, and Go to join our team. The ideal candidate will be responsible for developing and maintaining web applications using modern technologies.

Responsibilities:

Design and implement complex web applications using NodeJS, React, and Go

Collaborate with the development team to ensure the project is delivered on time and to the highest standards

Identify and resolve technical issues and bugs

Develop and maintain server-side and client-side code

Ensure web applications are scalable, efficient, and secure

Write and maintain unit and integration tests

Work with other teams to integrate third-party systems and APIs

Keep up-to-date with the latest technologies and best practices in web development

Participate in code reviews and provide constructive feedback to other team members

Take ownership of the project and ensure its success

Requirements:

Strong experience in web application development using NodeJS, React, and Go

Familiarity with databases such as MongoDB, PostgreSQL, and MySQL

Understanding of RESTful APIs and Microservices Architecture

Experience with DevOps, Continuous Integration/Continuous Deployment, and Cloud Technologies such as AWS, Azure, or GCP

Understanding of Agile/Scrum methodologies

Excellent communication and problem-solving skills

Strong attention to detail

Ability to work independently and as part of a team

If you are a motivated, enthusiastic, and talented Full Stack Developer with a passion for creating high-quality web applications, we encourage you to apply.

4 - 6years of experience in web and API development

4+ years experience with http://asp.net/MVC/C" target="_blank">ASP.NET/MVC/C#.

4+ years working with SQL Server (2012+).
Good Knowledge of scripting libraries like jQuery, Knockout, Angular JS

JD -

Given our business model, where our customers pay us over time, Customer experience is absolutely vital to our long-term profitability. We will not be successful unless our customers are receiving massive value from our service. As such, we need a leader to own driving success for our customers. This role includes responsibilities for Customer experience, retention and Customer Success (e.g., onboarding, support, services, adoption, advocacy, retention, etc.)

• Drive Customer Experience Outcomes
• Define and Optimize Customer Lifecycle
• Manage Customer Experience Activities
• Measure the Effectiveness of Customer Experience processes
• Build a World-class Team
• Inspire Customer Success Across Company

Requirements -

• 1-4 years experience in leading customer-facing organizations
• Ability to manage influence through persuasion, negotiation, and consensus building
• Ideally combined background in E-commerce or Saas industries
• Strong empathy for customers AND passion for revenue and growth
• Deep understanding of value drivers in recurring revenue business models
• Analytical and process-oriented mindset
• Demonstrated desire for continuous learning and improvement
• Enthusiastic and creative personality with the ability to inspire others
• Excellent communication and presentation skills

Section A: Purpose of the Role:

To engage with CXOs across the world’s most successful companies and successfully sell new business opportunities to ensure MnM’s growth.

Section B: Job Description

B.1 Responsibilities:

• Generate sales revenue in line with the MnM’s objectives and goals
• Ensure strong focus is to hunt and sell to net new logos / net new client accounts within defined timelines
• Identify key decision makers and act as a strategic partner to C-level and senior executives within an assigned organization to drive revenues

to understand their issues/needs/priorities through a consultative selling approach

• Collaborate with internal resources (such as Research, Client Services) and external network to prioritize and penetrate key accounts; quickly build relationships with key stakeholders to drive revenues
• Leverage CRM as a tool to capture accurate sales pipeline management, develop strategic territory mapping and maintain forecast
• Manage sales forecast accuracy on a monthly/quarterly/annual basis and ensure that sales pipeline remains full of qualified leads & prospects
• Own the full sales cycle from prospecting through close and own the overall allocated sales quota
• Follow determined Sales best practices developed through collaboration with peers or delivered by Sales Learning and Development team.
• Maintain compliance in utilizing internal sales enablement tools and management processes
• Attend and participate actively on all internal team meetings. 

B.2 Communication  

• Internal Stakeholders: Internal teams such as Research, Sales, Web Marketing, Finance and Accounts, Events and Conferences, Human Resources
• External Stakeholders: Clients, Industry Experts, Government Agencies, Academia

Section C: Job Specifications

C.1 Skills:

• Excellent verbal and written communication skills

• Ability to engage with CXO, business leaders and build credibility and relationships
• Strong business development skills, telesales, outbound calling, communication and negotiation skills whenever required.
• Highly motivated individual with a passion for sales and an unyielding drive to succeed in an international selling environment
• Ability to comprehend and problem solve by thinking and acting quickly on your feet.

• Cultural Sensitivity in engaging with global clients

• Entrepreneurially minded individual with positive mindset capable of converting adversity into opportunity

C.2 Education:

• Essential: Bachelor’s degree
• Desirable: Master’s in Business Administration (MBA)

C.3 Prior Experience:

• 3+ years’ experience in product/solution/enterprise sales

• A consistent track record of overachievement in sales targets