Credit Analyst

Sales Representative

We seek a skilled and driven Sales Representative who excels in a fast-paced sales environment. This

individual will contribute to the attainment of lead acquisition and conversion goals by engaging in

calls, collaborating with channel partners, visiting prospective clients in-person and generating

interest while qualifying prospects.

Responsibilities:

1. Establishing connections with company CXOs through LinkedIn, understanding their needs, and

initiating initial discussions with the relevant channel head.

2. Conducting daily calls to follow up on generated leads, both inbound and outbound, to

assess their qualification.

3. Handling both inbound and outbound calls to evaluate lead qualifications.

4. Comprehending client requirements and effectively presenting product

offerings.

5. Qualifying leads and forwarding them to the respective stakeholders.

Requirements:

1. Demonstrated expertise in handling incoming and outgoing calls.

2. 0 to 1 years of sales experience, preferably in the Fintech sector.

3. Proven track record in successful lead generation.

B2B sales experience is essential.

4. Fundamental knowledge of business banking and lending products.

5. Proficient in managing a high volume of calls daily with a strong phone

presence.

6. Familiarity with CRM systems, such as Freshworks or equivalent.

7. Exceptional verbal and written communication skills.

Effective listening and presentation capabilities.

8. Ability to multitask, prioritize, and efficiently manage time.

9. Previous experience in a financial organization is

advantageous.

Job Description:

We are seeking an experienced developer to design and build cross-platform mobile applications integrated with enterprise backend systems. The role involves working on both mobile (Android & iOS) using Kotlin Multiplatform and backend services using Java / Spring Boot.

Key Responsibilities:

• Develop mobile applications for Android and iOS using Kotlin Multiplatform (KMP)
• Design and implement reusable shared modules across platforms
• Develop and maintain backend services using Java / Spring Boot
• Build and consume REST APIs
• Integrate authentication and security mechanisms
• Perform testing, debugging, and performance optimization

Location: Bangalore

Experience: 3–5 years

Type: Full-time | On-site

Start: Immediate

Why this role exists

Most AI products fail not because they lack capability, but because they don’t deliver repeatable outcomes at scale.

We are building a platform where AI agents don’t just respond — they execute workflows reliably across enterprises.

This role exists to ensure:

• We can deploy across multiple Tier-1 customers without breaking
• We can measure outcomes, not activity
• We become impossible to replace at renewal

What you’ll do

You will not manage a backlog.

You will own the product as a system that drives business outcomes.

1. Build the workflow execution platform (v2)

• Ship a platform that supports 3+ concurrent Tier-1 deployments without custom forks
• Eliminate one-off implementations — move toward configurable, reusable systems
• Ensure the product works across real enterprise environments, not ideal ones

2. Own outcome tracking and monetization layer

• Design instrumentation to track:
• Business outcomes (conversion, recovery, resolution)
• Not just interactions or usage
• Enable hybrid pricing models (Stage 2) across multiple accounts
• Ensure every deployment can prove ROI clearly

3. Convert customer reality into product roadmap

• Work directly with insurers like:
• SBI Life Insurance, HDFC Life, ICICI Prudential Life Insurance
• Translate:
• Feedback
• Failure modes
• Operational friction
• into clear product priorities
• Build features that make the platform 2x harder to rip out at renewal

4. Create new AI-native product segments

• Identify workflows that were not possible before AI
• Build entirely new categories of automation and execution
• Go beyond efficiency — enable new revenue or capability layers

5. Drive cost reduction and operational efficiency

• Reduce dependency on:
• Support teams
• Manual intervention
• Move toward self-serve, reliable execution
• Target: support dependency → near zero

6. Improve activation and time-to-value

• Reduce deployment/activation time to 7–21 days
• Work closely with deployment teams to remove friction
• Ensure customers see value within weeks, not months

7. Own customer experience of the product

• Ensure live customers:
• Are satisfied
• See consistent performance
• Track and improve:
• Reliability
• Latency
• Outcome success rates

What success looks like

• Platform supports multiple Tier-1 deployments without breaking
• Outcome tracking is clear, trusted, and monetizable
• Customers can prove ROI within weeks
• Product becomes deeply embedded and hard to replace
• Activation happens in ≤ 21 days
• Support dependency drops significantly

Who you are

• You have 3-5 years of product management experience
• You have built systems, not just features
• You are comfortable working in:
• Ambiguous environments
• Customer-facing contexts
• You think in:
• Outcomes
• Trade-offs
• Systems design

What will make you stand out

• Experience building enterprise SaaS or AI platforms
• Strong understanding of:
• Workflow systems
• Integrations
• Operational constraints
• Have worked closely with customers to shape product direction
• Have built products that are used daily in production environments

Why join

• You will define how AI actually works in enterprises
• Your work directly impacts:
• Revenue
• Retention
• Product defensibility
• You will build a platform that moves from demos → real execution

What this role is not

• Not a backlog manager
• Not a feature prioritizer in isolation
• Not disconnected from customers

What this role is

• A system builder
• A translator of customer reality into product truth
• A driver of outcome-based product thinking

One question to self-evaluate

Can you build a product that works across multiple enterprise customers without breaking — and proves its value every single day?

Job Description

• Min 5 years of Test Data Management tools experience with experience in Data De-identification and Masking Capabilities.
• Min 3 years of experience working on the Delphix tool with Data De-identification TDM experience
• Min 2 years of Experience in Synthetic Data Generation Capabilities
• Nice to have Experience in Python and .NET
• Understand and align with the roadmaps of key consumers with faster turnaround of test data generation.
• Optional: Prior experience working in cloud-hosted platforms, CICD pipeline, and integration of test data into the pipeline.

🚀 We’re Hiring: Python Developer – Quant Strategies & Backtesting | Mumbai (Goregaon East)

Are you a skilled Python Developer passionate about financial markets and quantitative trading?

We’re looking for someone to join our growing Quant Research & Algo Trading team, where you’ll work on:

🔹 Developing & optimizing trading strategies in Python

🔹 Building backtesting frameworks across multiple asset classes

🔹 Processing and analyzing large market datasets

🔹 Collaborating with quant researchers & traders on real-world strategies

What we’re looking for:

✔️ 3+ years of experience in Python development (preferably in fintech/trading/quant domains)

✔️ Strong knowledge of Pandas, NumPy, SciPy, SQL

✔️ Experience in backtesting, data handling & performance optimization

✔️ Familiarity with financial markets is a big plus

📍 Location: Goregaon East, Mumbai

💼 Competitive package + exposure to cutting-edge quant strategies

• Understand the brief, participate in brainstorming and produce creative designs that result in an engaging consumer journey. 
• Collaborate with the marketing team and copywriters to understand the exact requirements and expectations. 

• Be a great team player and coordinate with other design teams to seek and provide design assistance.
• Use proficient creative software skills to create a variety of static and motion graphics for communication design. 
• Learn business requirements and organisational values to adapt the same in designs. 

• Understand how creatives are performing via analysing performance data and incorporate the same understanding into subsequent creatives.

• Manage and monitor all installed systems and infrastructure.
• Install, configure, test and maintain operating systems, application software and system management tools.
• Proactively ensure the highest levels of systems and infrastructure availability.
• Monitor and test application performance for potential bottlenecks, identify possible solutions and work with developers to implement those fixes.
• Maintain security, backup, and redundancy strategies.
• Provide 2nd and 3rd level support.
• Liaise with vendors and other IT personnel for problem resolution.

CommerceIQ is Hiring Data Scientist (3-5 yrs)

At CommerceIQ, we are building the world’s most sophisticated E-commerce Channel Optimization software to help brands leverage Machine Learning, Analytics and Automation to grow their E-commerce business on all channels, globally.

Using CommerceIQ as a single source of truth, customers have driven 40% increase in incremental sales, 20% improvement in profitability and 32% reduction in out of stock rates on Amazon.

What You’ll Be Doing

As a Senior Data Scientist, you will work closely with Engineering/Product/Operations teams to build state-of-the-art ML based solutions for B2B SaaS products. This entails not only leveraging advanced techniques for predictions, time-series forecasting, topic modelling, optimisation but deep understanding of business and product too.

• Apply excellent problem solving skills to deconstruct and formulate solutions from first-principles

• Work on data science roadmap and build the core engine of our flagship CommerceIQ product

• Collaborate with product and engineering to design product strategy, identify key metrics to drive and support with proof of concept

• Perform rapid prototyping of experimental solutions and develop robust, sustainable and scalable production systems

• Work with large scale ecommerce data of the biggest brands on amazon

• Apply out-of-the-box, advanced algorithms to complex problems in real-time systems

• Drive productization of techniques to be made available to a wide range of customers

• You would be working with and mentoring fellow team members on the owned charter

What we are looking for -

• Bachelor’s or Masters in Computer Science or Maths/Stats from a reputed college with 4+ years of experience in solving data science problems that have driven value to customers

• Good depth and breadth in machine learning (theory and practice), optimization methods, data mining, statistics and linear algebra. Experience in NLP would be an advantage

• Hands-on programming skills and ability to write modular and scalable code in Python/R. Knowledge of SQL is required

• Familiarity with distributed computing architecture like Spark, Map-Reduce paradigm and Hadoop will be an added advantage

• Strong spoken and written communication skills, able to explain complex ideas in a simple, intuitive manner, write/maintain good technical documentation on projects

• Experience with building ML data products in an engineering organization interfacing with other teams and departments to deliver impact

• We are looking for candidates who are curious and self-starters; obsess over customer problems to deliver maximum value to them.
• Data scientist, Machine Learning, data science, data analyst

Job Type: Full-time

Experience:

• Data Scientist: 3 years (Required)

Application Question:

• Looking for product based industry experience from tier 1 /tier 2 colleges (NIT ,BIT, IIT,IIIT, BITS, Strong Profiles)