Sr. System Support Specialist (Coupa & Lucernex)

Key Responsibilities

• Lead and mentor a team of mobile QA engineers across multiple projects.
• Define test strategy, test plans, and test cases for Android and iOS applications.
• Develop and maintain mobile automation frameworks using Appium and Java.
• Execute manual and automated testing for native, hybrid, and mobile web applications.
• Perform functional, regression, integration, API, and end-to-end testing.
• Collaborate with developers, product owners, business analysts, and stakeholders to ensure quality throughout the SDLC.
• Analyze defects, perform root cause analysis, and work closely with development teams for timely resolution.
• Review test artifacts, monitor test execution, and ensure quality standards are met before releases.
• Drive automation adoption and continuously improve QA processes and best practices.
• Participate in sprint planning, backlog grooming, daily stand-ups, and release planning.
• Prepare test reports, quality metrics, and provide regular project status updates to stakeholders.

Required Skills

• 5-10 years of experience in Software Testing with strong expertise in Mobile Testing.
• Hands-on experience in Appium, Java, and mobile automation frameworks.
• Strong experience in testing Android and iOS applications.
• Experience in API Testing using Postman or REST Assured.
• Knowledge of Selenium, TestNG, SQL, Git, Jenkins, and Jira.
• Experience with cloud device platforms such as BrowserStack or Sauce Labs.
• Good understanding of Agile/Scrum methodologies and CI/CD pipelines.
• Strong analytical, troubleshooting, communication, and leadership skills.

Good to Have

• Experience with Cucumber (BDD).
• Knowledge of Espresso and XCUITest.
• Performance testing using JMeter.
• Experience with Flutter or React Native application testing.
• Exposure to mobile security and accessibility testing.

Job Title: Lead Software Engineer

Experience: 4 - 12 yr

Department: Software

Reports To: Senior Software Engineer / Software Architect

Purpose of the Role

The incumbent will be responsible for designing and developing robust software solutions for products in the domains of Warehouse Automation, Industrial Automation, Robotics, and IoT. The role includes defining software architecture, ensuring scalability and performance, and mentoring the development team to drive technical excellence and innovation.

Technical Skills Required

• Proven experience in designing, developing, and deploying high-volume, scalable applications.
• Expertise in distributed systems, microservices, and central system architectures.
• Programming & Frameworks: Proficiency in Java 17+.
• Experience with frameworks such as Spring, Hibernate, Kubernetes, and RESTful APIs.
• Knowledge of JPA, MS SQL, and database modelling/design.
• Hands-on experience with GCP, AWS, or Azure for cloud architecture.
• Familiarity with virtualization and containerization technologies.
• Strong skills in data modelling and database design.
• Knowledge of secure coding practices.
• Tech stack: Java, MSSQL, MySQL, Spring Boot, Redis, Data Structures, Linux, basics of Kubernetes.

Behavioural Skills Required

• Attention to Detail (Proficient)
• Problem Solving
• Decision Making
• Collaborative approach
• Adaptability to a volatile environment
• Accountability
• Good Leadership skills

Job Responsibilities

• Understand requirements and define database and application structure under guidance of Software Architect.
• Write high-quality, scalable, and efficient code.
• Prepare Functional Requirement Documents (FRD) based on inputs from BA team.
• Guide junior and mid-level developers and provide technical support.
• Collaborate to identify and fix technical issues in UAT/Production.
• Work closely to meet project deadlines.
• Take ownership of product implementations at customer sites.
• Hands-on development for assigned modules/products.
• Handle application performance in production.
• Work with customers to understand automation requirements.
• Review and merge code changes from the team.
• Conduct sprint meetings, demos, and resolve development roadblocks.
• Optimize code for performance and efficiency.

We are seeking a skilled and detail-oriented Hallmark Laboratory Analyst to perform testing and certification of precious metal jewellery in accordance with hallmarking standards and regulatory guidelines. The analyst will be responsible for analyzing gold, silver, and other precious metal samples to verify purity, fineness, and authenticity.

Key responsibilities include conducting tests using approved methods such as XRF analysis, fire assay, and other chemical or instrumental techniques; preparing and handling samples with precision; and accurately recording and reporting test results. The role involves ensuring compliance with BIS (Bureau of Indian Standards) or relevant hallmarking authority requirements and maintaining proper documentation for certification.

The Hallmark Lab Analyst will operate, calibrate, and maintain laboratory equipment, follow standard operating procedures (SOPs), and adhere strictly to laboratory safety and quality control standards. The analyst may also assist in audits, inspections, and continuous improvement of testing processes.

The ideal candidate should have strong knowledge of precious metal testing, laboratory practices, and hallmarking regulations. Attention to detail, integrity, and accuracy are essential. Good communication skills and the ability to work independently or as part of a team are required. This role plays a crucial part in ensuring consumer trust and quality assurance in the jewellery industry.

Location: Bangalore

Experience: 3-5 years

Type: Full-time | On-site

Start: Immediate

Why this role exists

Most companies are using LLMs.

Very few are building an advantage from them.

Right now, LLM cost is our largest margin constraint, and model behavior is still too generic to be defensible.

This role exists to:

• Turn LLM usage into a cost-efficient system
• Build compounding intelligence across accounts
• Create a differentiated analysis layer that competitors can’t replicate

What you’ll do

You will not just build models.

You will own the intelligence and cost structure of the platform.

1. Drive down LLM cost dramatically

• Reduce cost per interaction from ₹40 → ₹2 within 6 months
• Implement:
• Model tiering (right model for the right task)
• Caching strategies (semantic + response caching)
• Batching and async processing
• PTU / reserved capacity optimization
• Ensure performance does not degrade while reducing cost

2. Optimize infrastructure spend

• Reduce cloud spend from ₹20L/month → ₹4L/month
• Work across infrastructure layers (Azure / compute / inference)
• Balance:
• Latency
• Cost
• Throughput
• Treat infra as a first-class optimization problem

3. Build the fine-tuning and learning pipeline

• Design systems where:
• Every interaction improves future performance
• Build pipelines for:
• Fine-tuning
• Feedback loops
• Continuous model improvement
• Ensure the 5th customer deployment is structurally better than the 1st

4. Create a differentiated intelligence layer

• Build analysis systems that:
• Extract signals from interactions
• Improve decision-making
• Drive outcome improvements
• Move beyond responses → insight + action

5. Enable new AI-native product categories

• Identify opportunities where:
• AI enables workflows that were not previously possible
• Build foundational ML capabilities to unlock those categories
• Focus on creation, not just efficiency

6. Commoditize LLM usage internally

• Abstract complexity of LLM usage from product teams
• Build internal systems where:
• Cost is predictable
• Performance is consistent
• Make LLM usage a reliable utility layer

What success looks like

• Cost per interaction drops to ₹2 or lower
• Infrastructure spend reduces 5x without performance loss
• Model performance improves with every deployment
• Platform develops a clear intelligence advantage
• New AI-native capabilities become possible due to your systems

Who you are

• You have 3-5 years of experience in ML / applied AI / systems engineering
• You have worked with:
• LLMs
• Inference optimization
• Production ML systems
• You think in:
• Systems
• Trade-offs (cost vs latency vs quality)
• You care about real-world impact, not just model metrics

What will make you stand out

• Experience with:
• LLM optimization (prompting, fine-tuning, distillation)
• Distributed systems or infra-level optimizations
• High-scale inference systems
• Built systems that:
• Reduced cost significantly
• Improved performance over time
• Strong understanding of:
• Caching strategies
• Model routing
• Evaluation frameworks

Why join

• You will directly impact company margins and scalability
• Your work defines whether we have a defensible ML advantage
• You will build systems that move from:
• Generic AI usage → compounding intelligence

What this role is not

• Not research-only
• Not experimentation without production impact
• Not isolated from product and business outcomes

What this role is

• A builder of ML systems at scale
• A driver of cost and performance optimization
• A creator of long-term competitive advantage

One question to self-evaluate

Can you build ML systems that get cheaper, smarter, and more valuable with every interaction?

About Us:

With a mission to upgrade the digital marketing industry with profound practical expertise and innovation, InSnap Technologies started its operations in 2018. Founded as a subsidiary of Spokesly INC based out of California, USA.

InSnap has grown to be a family of some of the best talent from around the world who have empowered thousands of businesses to achieve their digital marketing goals. Powered with business intelligence data, vision, and out-of-the-box thinking, InSnap provides novel solutions and tools to rest all the digital marketing worries for a B2B enterprise.

Job description:

Eligibility Criteria:

·      Comfortable using AI tools (ChatGPT, MidJourney, Canva AI, Jasper, etc.) to create content, designs, and email copy.

·      Willingness to learn SaaS marketing automation tools (ActiveCampaign, n8n, Chameleon etc.).

·      Basic skills in copywriting, design, and analytics.

·      Basic understanding of HTML & CSS

·      Strong problem-solving ability and curiosity to experiment.

·      Process-driven with an eye for detail (QA before things go live).

Key Responsibilities:

·      Working on end-to-end email marketing operation including creating content, designing and putting emails in Automation.

·      Executing email campaigns and tracking results.

·      Optimizing Emails & Automation workflows for user activation, engagement, conversion and upgrades.

·      Researching topics that interest our target audience the most and creating Lead Magnets on the same.

·      Staying up to date with Advanced Marketing Strategies for Effective Campaigns.

·      Working on different tools like Mixpanel, Chamelon etc. for improving user experience and activation.

Job Title: Data Analyst Associate – Data Management  

Location: Mumbai, India  

Company: Wissen Technology

About Us:

Wissen Technology is a leading technology and consulting firm known for its strong commitment to excellence, innovation, and customer satisfaction. We are passionate about harnessing data to drive smart business decisions and deliver impactful insights. Join us in shaping the future of data management.

Role Overview:

We are looking for a meticulous and proactive Data Analyst Associate - Data Management to join our team. This role requires a keen attention to detail, solid organizational skills, and a foundational knowledge of the asset management industry. You will support data analysis, management, and reporting initiatives, focusing on ensuring accuracy, efficiency, and improved decision-making processes.

Key Responsibilities:

• Data Management: Support data integrity and accuracy across various data systems; handle data extraction, transformation, and loading (ETL) processes.
• Analysis & Reporting: Generate insightful reports and conduct data analysis, utilizing Microsoft Excel and Business Objects; provide data support for decision-making processes.
• Collaboration: Engage with global business areas, provide data-related support, and actively participate in relevant meetings.
• Documentation & Communication: Document data management procedures, contribute to data governance practices, and effectively communicate findings with team members and stakeholders.
• Process Improvement: Identify and implement improvements in data operations to enhance efficiency and effectiveness.
• Technical Proficiency: Utilize data management tools and develop insights using BI reporting tools, including Tableau or Power BI; familiarity with Python is a plus.

Qualifications:

• Education: BTech / BE / MCA or any related field
• Industry Knowledge: Basic understanding of the asset management industry and data management practices.
• Technical Skills: Proficiency in Microsoft Excel, with foundational knowledge of Microsoft Access and Business Objects. Knowledge of BI reporting tools (Tableau, Power BI) is preferred, and Python skills are a plus.
• Communication Skills: Strong written and verbal communication abilities, with a focus on customer service and responsiveness.
• Organizational Skills: Strong multitasking, prioritization, and time management skills; attention to detail is essential.
• Project Management: Ability to coordinate and manage project tasks effectively, meeting deadlines with minimal supervision.

Why Join Wissen Technology?

• Opportunity to be part of a growing team focused on data-driven innovation and quality.
• Exposure to global clients and complex data management projects.
• Competitive benefits, including health coverage, paid time off, and a collaborative work environment.

We look forward to welcoming a detail-oriented and driven Data Analyst Associate to our team!

Realize your potential by joining the leading performance-driven advertising company!

As an Advertising Sales Manager in our Bangalore office, You’ll spearhead new business development efforts, drive high-impact performance marketing deals, and help expand Taboola’s advertiser base across key verticals in the region. This is your opportunity to be at the forefront of digital media sales, build strategic partnerships, and directly contribute to the growth of Taboola as the leading content discovery and performance marketing platform in the region.

To thrive in this role, you’ll need:

• 5–7 years of experience in advertiser sales, preferably within a digital media or ad tech company
• Deep understanding of the digital technology and revenue ecosystem
• Proven success in structuring and negotiating digital media deals, ideally within the Indian market
• A passion for online content and the ability to drive strategic partnerships
• Strong communication and presentation skills, with experience building and maintaining senior-level client relationships
• Excellent analytical skills to identify trends and inform sales strategies
• Ability to work independently in a fast-paced, dynamic environment and consistently meet or exceed revenue goals
• Proficiency in a local language (e.g., Tamil, Telugu, Kannada, or Malayalam) is a strong plus for building deeper client relationships and navigating regional markets.

Bonus points if you have:

• Experience selling multiple advertising solutions and managing full sales cycles
• Familiarity with content marketing, native advertising, or performance-based digital ad solutions
• A strong network of relevant stakeholders in the Indian digital advertising ecosystem

How you’ll make an impact:

As an Advertising Sales Manager you’ll bring value by:

• Building, managing, and converting a robust pipeline of leads into signed partnerships
• Effectively explaining Taboola’s product suite and how it fits into a client’s digital strategy
• Selling across multiple products while maintaining a cohesive and strategic message
• Working closely with the National Sales Director and broader sales team to meet and exceed targets
• Collaborating with Account Management to ensure seamless campaign implementation and performance
• Providing field feedback to product teams to inform future development
• Leading presentations, conducting negotiations, and closing contracts independently

Why US?

If you ask Taboolars what they love about working here, they’ll tell you they’ve been empowered to realize their full potential while growing and learning from and with smart and talented people. They’ll also share more about:

Adam Singolda, Taboola Founder and CEO says:“You can copy anything from another business but you can’t copy a company’s culture.”

• Well-being: Competitive benefits, global exposure, and a supportive culture
• Flexibility: Hybrid work environment offering both independence and collaboration
• Global Reach: Work with the world’s top publishers and advertisers including BBC, Axel Springer, India Today, Zee, NDTV, Times

• Design and update job descriptions
• Source potential candidates from various online channels (e.g., social media and professional platforms like Naukri and Indeed)
• Craft recruiting emails to attract passive candidates
• Screen incoming resumes and application forms
• Interview candidates (via phone, video, and in-person)
• Advertise job openings on the company careers page, social media, job boards, and internally
• Provide shortlists of qualified candidates to hiring managers
• Monitor key HR metrics, including time-to-fill, time-to-hire and source of hire

Requirements and skills

• Proven work experience as an HR Recruiter with a Real Estate background.
• Familiarity with Applicant Tracking Systems and resume databases.
• Experience with sourcing techniques Boolean Search,
• Understanding of referral programs
• Solid verbal and written communication skills