Chief Executive Officer (CEO)- Garment Export

Location: Bangalore

Experience: 2–3 years

Type: Full-time | On-site

Open Roles: 1

Start: Immediate

Why this role exists

Most teams treat QA as the last step.

That’s why bugs reach production.

We are building AI agents where failures are:

• Visible to customers
• Hard to debug
• Expensive to fix

This role exists to ensure:

• Bugs are caught before production
• Releases are safe and predictable
• Teams can ship fast without fear

What you’ll do

You will not just test features.

You will build the system that guarantees quality.

1. Build an automated regression system

• Create a test suite that catches 90%+ of conversation quality issues before release
• Cover:
• Conversation flows
• Edge cases
• Multilingual behavior
• Ensure regression testing is:
• Fast
• Reliable
• Mandatory before deployment

2. Own conversation test harness

• Build a system to simulate:
• Real user conversations
• Edge cases
• Failure scenarios
• Enable teams to:
• Test workflows quickly
• Validate changes before release
• Make daily releases safe and repeatable

3. Reduce production incidents

• Bring P1 incidents down to <1 per account per month, even at 5x scale
• Identify:
• Root causes
• Recurring failure patterns
• Ensure issues are fixed permanently, not patched temporarily

4. Define quality standards

• Establish clear definitions of:
• What is a bug
• What is acceptable quality
• Create:
• QA benchmarks
• Release gates
• Ensure quality is measurable, not subjective

5. Enable fast and safe releases

• Work closely with:
• Engineering
• Product
• Conversation design
• Ensure:
• Testing does not slow down shipping
• Shipping does not compromise quality

6. Move toward zero-bug production mindset

• Build systems where:
• Bugs are rare
• Failures are predictable
• Drive a culture where:
• Quality is owned by everyone
• QA enables, not blocks

What success looks like

• ≥ 90% of bugs caught before production
• P1 incidents drop to <1 per account per month
• Teams can ship daily without fear
• Conversation quality remains consistent at scale
• Production issues become rare and predictable

Who you are

• You have 2-3 years of experience in QA / testing / automation
• You have built:
• Automated test systems
• Regression suites
• You think in:
• Systems
• Failure modes
• You care about:
• Quality
• Reliability
• Real-world performance

What will make you stand out

• Experience testing:
• Conversational systems
• AI / chatbot / voice systems
• Strong understanding of:
• Automation frameworks
• API testing
• End-to-end testing
• Ability to:
• Design test strategies, not just execute them

Why join

• You will define quality standards for an AI platform
• Your work directly impacts:
• Customer experience
• Reliability
• Product trust
• You will move the system from:
• Reactive QA → predictive quality systems

What this role is not

• Not manual testing only
• Not a release blocker
• Not reactive bug reporting

What this role is

• A builder of quality systems
• A guardian of production reliability
• A multiplier of engineering confidence

One question to self-evaluate

Can you build a testing system where bugs are caught before users ever see them?

Mandatory (Total Experience): Must have 5+ years of overall experience in Testing/QA

Mandatory (Experience 1): Must have 2+ years of experience in testing AI/ML models and data-driven applications, across NLP, recommendation engines, fraud detection, and advanced analytics models

Mandatory (Experience 2): Must have expertise in validating AI/ML models for accuracy, bias, explainability, and performance, ensuring decisions are fair, reliable, and transparent

Mandatory (Experience 3): Must have strong experience to design AI/ML test strategies, including boundary testing, adversarial input simulation, and anomaly monitoring to detect manipulation attempts by marketplace users (buyers/sellers)

Mandatory (Tools & Frameworks): Proficiency in AI/ML testing frameworks and tools (like PyTest, TensorFlow Model Analysis, MLflow, Python-based data validation libraries, Jupyter) with the ability to integrate into CI/CD pipelines

Mandatory (Business Awareness): Must understand marketplace misuse scenarios, such as manipulating recommendation algorithms, biasing fraud detection systems, or exploiting gaps in automated scoring

Mandatory (Communication Skills): Must have strong verbal and written communication skills, able to collaborate with data scientists, engineers, and business stakeholders to articulate testing outcomes and issues.

Mandatory (Education):Degree in Engineering, Computer Science, IT, Data Science, or a related discipline (B.E./B.Tech/M.Tech/MCA/MS or equivalent)

Mandatory Location: Candidate must be based within Delhi NCR (100 km radius)

Preferred

Preferred (Certifications): Certifications such as ISTQB AI Testing, TensorFlow, Cloud AI, or equivalent applied AI credentials are an added advantage.

About Intugine :

Ever wondered how the physical goods we consume every day (think dairy, snacks, or your favourite choco chip ice cream) reach you in time? Or how beautiful furniture or sophisticated electronic equipment and gadgets you use are delivered in the best possible condition at your doorstep. 

Their journey spans from getting sourced, manufactured, and stored, to getting moved across a highly intricate supply chain network across the globe before it gets delivered. Global brands constantly face challenges like not having visibility of their raw materials, which delays production and in turn, delays customer shipments, or tracking shipments across various modalities and multiple geographies. 

Intugine Technologies is one of the most trusted solution partners catering to these brands with its best-in-class visibility platform helping brands gain comprehensive visibility over their supply chain across modalities(air/land/sea/rail). Their solutions have helped eliminate operational inefficiencies, reduce logistics costs and improve OTIF, order to delivery TAT, and minimise dwell time and detention costs.

Intugine is a proud partner of the National Logistics Policy, an initiative by the Government of India. With this, it provides these brands with additional information via their integrations with FASTag, Port Community System, and Freight Operations Information System to name a few. 

Today Intugine works with 75+ global enterprise names like GE Healthcare, Signify, Flipkart, Mahindra Logistics, Titan, Diageo, Ultratech Cement, Bridgestone, and GMMCO. 

To know more, visit the website: https://www.intugine.com 

Role :

We are looking for an experienced Key Account Manager who is an outside the box thinker with proven experience, developing creative solutions. You are a people person, with remarkable communication skills and will be working with our existing clients, building and maintaining long term relations with new accounts. Our right fit would be a fast learner who can learn our products inside-out quickly and someone who will be instrumental in the company’s growth.

Key Responsibilities :

• Be the primary point of contact, establish and maintain long term relations with the clients. 
• Prepare long-term and short-term goals and account objectives for the team
• Estimate and establish cost parameters, budgets, campaigns, and potential ROI
• Supervise account management and strategies
• Communicate with major clients on a regular basis, handle complaints and suggest solutions with innovative ideas to meet client needs in a timely and effective manner. 
• Propose pricing models based on customer’s needs and product usage. 
• Prepare proposals and detailed costing prior to negotiation with clients. 
• Act as the liaison between clients and internal teams for the constant development of new products. 
• Set up presentations with CXO’s to discuss technical solutions. 
• Identify gaps in the overall Business and take new initiatives to bridge those gaps.

What you’ll need :

• 2-3 years of client-facing, revenue management and quota carrying experience. 
• Bachelors/Masters Degree from a Tier-1 Institute. 
• Excellent communication and presentation skills and ability to maintain relations with senior executives from the client’s side. 
• Ability to understand and the hunger to learn more about technology-based products. 
• A knack to understand technology-based products and explain it in simple terms. 
• Should be analytical, adept at solving critical problems, and handling & prioritizing multiple tasks.
• Prior experience in a company based in the logistics industry would be preferred

Perks at Intugine:

Looking for more reasons to join the Intugine rocketship? We’ll give you 13!

• Comprehensive Health Cover - For you 
• Personal Development Budget- Upskill yourself, we’ve got the bill
• Flexible Working Hours - Set your own work hours
• Open door policy - No to cubicles. Yes to the Open door policy. 
• Generous Parental Leave - Cause work comes second sometimes
• Documented Equal Pay Policy - Since we’re in 2025!
• Education Assistance - Let us help you soar to new heights
• Work Autonomy - Enjoy complete ownership over your work 
• Employee Life Skill Training Program - Regular sessions on tax saving, investments, mental well-being, health and Fitness etc.
• Company Outings - Unwind with teammates. Work can wait.
• Paid time off - Because your well-being is our priority

Role Overview:

We are seeking a Senior Software Engineer (SSE) with strong expertise in Kafka, Python, and Azure Databricks to lead and contribute to our healthcare data engineering initiatives. This role is pivotal in building scalable, real-time data pipelines and processing large-scale healthcare datasets in a secure and compliant cloud environment.

The ideal candidate will have a solid background in real-time streaming, big data processing, and cloud platforms, along with strong leadership and stakeholder engagement capabilities.

Key Responsibilities:

• Design and develop scalable real-time data streaming solutions using Apache Kafka and Python.
• Architect and implement ETL/ELT pipelines using Azure Databricks for both structured and unstructured healthcare data.
• Optimize and maintain Kafka applications, Python scripts, and Databricks workflows to ensure performance and reliability.
• Ensure data integrity, security, and compliance with healthcare standards such as HIPAA and HITRUST.
• Collaborate with data scientists, analysts, and business stakeholders to gather requirements and translate them into robust data solutions.
• Mentor junior engineers, perform code reviews, and promote engineering best practices.
• Stay current with evolving technologies in cloud, big data, and healthcare data standards.
• Contribute to the development of CI/CD pipelines and containerized environments (Docker, Kubernetes).

Required Skills & Qualifications:

• 4+ years of hands-on experience in data engineering roles.
• Strong proficiency in Kafka (including Kafka Streams, Kafka Connect, Schema Registry).
• Proficient in Python for data processing and automation.
• Experience with Azure Databricks (or readiness to ramp up quickly).
• Solid understanding of cloud platforms, with a preference for Azure (AWS/GCP is a plus).
• Strong knowledge of SQL and NoSQL databases; data modeling for large-scale systems.
• Familiarity with containerization tools like Docker and orchestration using Kubernetes.
• Exposure to CI/CD pipelines for data applications.
• Prior experience with healthcare datasets (EHR, HL7, FHIR, claims data) is highly desirable.
• Excellent problem-solving abilities and a proactive mindset.
• Strong communication and interpersonal skills to work in cross-functional teams.

Required experience candidates who is currently working in life insurance companies or health insurance

CTC would be as per the profile

Minimum CTC 2.50 lac to 8 lac

Responsible for all sales & marketing activities (Direct & Channel Sales for Promoting Residential

Sales)

Direct sales activities (inbound as well as outbound)

Event / expo participations for sales and brand visibility (Advt & promotion activities)

Prospect clients through calling , email and offs - site meetings (where applicable)

Sign - ups to achieve monthly targets

Developing & nurturing a strong channels (existing and new channel partners relationship)

Demonstrate highest quality of customer satisfaction

Nurture relationships with existing clients to generate referral business

Manage sales operations (day - to - day sales operations)

Formulating weekly / monthly sales plan & implementing sales strategy

Manage sales documentation , customer data & MIS

Need to manage team of executive and drive business through the team.

Meeting monthly quarterly targets by guiding the team.

Should Report to Sales manager and motivate the team to drive business.

About Maxpay: Our goal is to make digital payments so easy, safe, and universally accepted that people never feel the need to carry cash or cards again. We believe India is at the cusp of a new mobile revolution, which will change the way we manage our money on the go. We see ourselves facilitating this change, through technology and dogged customer-centricity.

At Maxpay, we take extra care to make sure you give your best at work, Every day! And creating the right environment for you is just one of the things we do. We empower people and trust them to do the right thing. Here, you own your work from start to finish, right from day one.

Being enthusiastic about tech is a big part of being at Maxpay,.

If you like building technology that impacts millions, ideating with some of the best minds in the country, and executing your dreams with purpose and speed, join us!

At Maxpay, we are looking for skilled Android developers who are passionate about solving digital payment problems for over a billion Indians.

Responsibilities:

• Work with product and UX teams to design, build and extend consumer-facing mobile products.

Requirements:

• Technically Hands-on, prior experience with scalable Architecture.
• Bring 1-6 years of software engineering and product delivery experience, with a strong background in algorithms.
• Excellent command over Data Structures and Algorithms.
• Strong problem-solving and analytical skills.
• Deep technical knowledge of iOs application development.
• Proficient in swift with experience in memory management and caching mechanisms specific to mobile devices and embedded systems.
• Strong UI design exposure and experience in making apps work intuitively.
• Optimize mobile products for performance and a fabulous hyper-local experience.
• Knowledge about delegates, protocols, notifications, and application life cycle.
• Knowledge about Push notification services.
• Knowledge about third-party SDK integrations.
• Experience preferred 2 To 8 years.
• Required Education Bachelor Of Engineering(B.E).