Field Sales Executive at Insurance company · Bengaluru (Bangalore) · 1 - 10 years · ₹2L - ₹4L / yr · Posted 10 Apr 2025

Job Title: Field Sales Executive – Insurance
Location: mg road bangalore
Job Type: Full-Time
Experience Required: minimum-1year exp in Field Sales(in any industry)
Industry: Insurance (Life/Health/General Insurance)
Reporting To: Sales Manager / Branch Head
Job Summary:
We are seeking a motivated and dynamic Field Sales Executive to join our growing insurance team. The ideal candidate will be responsible for acquiring new customers, building strong client relationships, and promoting insurance products (life, health, or general). This is a field role that involves meeting prospects, explaining policies, and closing sales.
Key Responsibilities:
- Identify and generate leads through cold calling, networking, and field visits
- Meet prospective clients and understand their insurance needs
- Explain policy features, benefits, and pricing clearly and accurately
- Recommend suitable insurance plans based on customer profiles
- Achieve monthly/quarterly sales targets
- Maintain strong follow-up with clients for documentation and policy issuance
- Build and nurture long-term customer relationships
- Maintain accurate records of sales, leads, and customer interactions
- Participate in promotional activities, campaigns, and training sessions
2 wheeler is mandate
Job Type: Full-time
Pay: ₹200,000.00 - ₹450,000.00 per year
Application Question(s):
- Do you have two wheeler?
Experience:
- Field sales: 1 year (Required)
Work Location: In person

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About the role
You will be a pivotal member of the leadership team, responsible for driving the company's product and platform strategy while overseeing engineering excellence across AI, data, platform, DevOps and infrastructure. This is a mission-critical role for an engineering leader who is both strategic and hands-on, and who can build scalable technologies for global enterprise clients in a fast-paced innovation ecosystem.
Reports to: CEO · Location: Bengaluru, India — hybrid, 3 days a week in office
What you will do
Technology & product leadership
- Define and drive the technology vision, architecture and long-term platform roadmap.
- Oversee the architecture, design and delivery of highly scalable enterprise systems.
- Ensure engineering excellence, velocity and reliability across the product lifecycle.
Engineering & platform management
- Lead platform engineering, product technology, DevOps, infrastructure and Quality Engineering.
- Build robust cloud-native systems using the Azure, AWS and GCP ecosystems.
- Oversee operational effectiveness, including uptime, production reliability and cost optimisation.
Innovation & AI strategy
- Spearhead Mission AI by developing scalable, production-grade AI/ML and GenAI capabilities.
- Own the GenAI/LLM solutions architecture.
- Core specialisation in AI agents and autonomous workflows, data extraction and intelligent automation.
- Direct hands-on architectural oversight of large language models, applied AI and multi-layered deep learning products.
- Extensive expertise in building intelligent document automation systems — similar in complexity to patent parsing, legal workflow automation and structured decision intelligence tools.
Technical leadership
- A proven track record overseeing product architecture, tech strategy and cross-functional engineering execution across core full-stack and AI platforms.
- Collaborate with executive leadership on business strategy, client requirements and product delivery.
- Build, mentor and scale high-performing engineering teams with a growth mindset.
- Establish a strong technology culture grounded in ownership, innovation and continuous learning.
What success looks like
- Mission AI: build a world-class AI system leveraging GenAI, ML and enterprise-grade data engineering.
- Hyper-scaling: architect and scale the platform to match global industry leaders in the IP space.
- Culture building: develop a strong engineering organisation with high ownership, performance and innovation DNA.
Qualifications & experience
- Preferably under 15 years of enterprise software engineering experience across B2B SaaS or technology-first companies; fewer is fine for an exceptional engineer.
- A proven track record of taking early-stage AI/ML prototypes and scaling them into robust enterprise SaaS platforms featuring multi-agent orchestration, complex workflows and decision intelligence.
- Experienced in building and mentoring agile, lean startup teams of full-stack and machine learning engineers from the ground up.
- Proven leadership in defining and executing technology strategy and platform roadmaps.
- Extensive cloud-native engineering experience with Azure, AWS and GCP.
Technical expertise
- Strong full-stack engineering background (Java, Python, JavaScript frameworks).
- Expertise with JS frameworks such as React, Angular and Node.js.
- Experience building and scaling distributed systems and microservices.
- Strong knowledge of databases (SQL, NoSQL), data modelling and unstructured data management.
- Strong understanding of Agile methodologies and tools (Atlassian, Git, CI/CD pipelines).
Behavioural & leadership competencies
- Product and delivery management expertise, end to end, including delivery and customer support.
- Excellent communication, with the ability to influence executive stakeholders.
- High technical proficiency combined with strong business acumen.
- Strong analytical and decision-making skills.
Responsibilities:
- Working with the development team to deliver large-scale web applications.
- Working alongside project managers and clients.
- Work with the development team to troubleshoot the development environment, production environment, performance tune, and optimize code.
- Adhere to the code conventions strictly.
Requirements:
- Working knowledge of Python, Linux, and Debugging skills.
- Skills: RDBMS (MySQL, PostGreSQL), Shell Scripting, Web Server and Interpretors (nGinx, Apache, uwsgi, mod_python), GIT.
- Knowledge of Javascript/ JQuery, HTML/ CSS, JSON, AJAX, Google APIS (Maps, Charts).
Preferred:
- 3+ Years of experience overall.
- 3+ years of experience in Python scripting and Linux.
We are a fast-paced startup and looking for a developer fluent in problem-solving,Javascript and ReactJS to help us deliver an amazing advertisement solution.
Roles and responsibilities:
- Develop new features in React/NextJS
- Write unit test cases
- Fix bugs and write technical documentation
- Write CI/CD pipelines for the UI
Location: Chennai
Experience: 6 to 15 years
Job Description
- Provide strategic consulting on people and organization development strategies in support of the business objectives.
- Be an expert on people challenges - especially talent, performance and change
- Partner with India HR lead for all Merger and Acquisition activities (policies, process, payroll, compensation and benefits harmonization, compliance, entity and benefit integration, site consolidation, employee integration and culture alignment)
- Providing ideas and challenges to management teams and acting as a catalyst for change through process design and approaches that results in transformation.
- Evaluate and analyze issues, patterns, and trends to provide proactive insights for HR solutions.
- Drive compensation programs locally by collaborating with corporate compensation team
- Collaborating with the corporate HRBP on BU related activities
- Partner and lead projects which has business impacts.
- Investigate and resolve complex employee relations issues and address grievances.
- High degree of integrity, business acumen and resilience.
- Ability to thrive in an ambiguous, fast paced and rapidly changing environment.
- Self-driven, ability to set high personal goals and work independently
- Ability to organize, multi-task, prioritize tasks and deliver quick results.
We are looking for an experienced and creative Digital Head to join our team. You will be responsible for developing and implementing our Social Media strategy in order to increase our online presence and improve our marketing and sales efforts. You will be working closely with the Marketing and Sales departments.
Responsibilities
- Develop, implement and manage our social media strategy
- Define most important social media KPIs
- Manage and oversee social media content
- Measure the success of every social media campaign
- Stay up to date with the latest social media best practices and technologies
- Use social media marketing tools
- Attend educational conferences
- Work with copywriters and designers to ensure content is informative and appealing
- Collaborate with Marketing, Sales, and Product Development teams
- Monitor SEO and user engagement and suggest content optimization
- Communicate with industry professionals and influencers via social media to create a strong network
- Hire and train others in the team
- Provide constructive feedback
Requirement
- Experience : 3-6 Years
- Excellent knowledge of Facebook, Twitter, LinkedIn, Pinterest, Instagram, Google+, and other social media best practices
- Education: Any degree
- Excellent multitasking skills
- Proficient in English
- Create and maintain new hire and personnel files and enter them into Human Resources Information Systems.
- Assist with orientation of new employees.
- Ensure accurate maintenance of all employee records and files (e.g., interview documents, ).
- Support processing and maintenance of payroll records in accordance with policies and procedures, as necessary.
- Generate Human Resources data reports as necessary Answer phone calls and record messages.
- Create and type office correspondence using computer.
- Serve as Human Resources subject matter expert and participate on project teams.
- Day to day operations of the HR function
- End to End Recruitment process like Sourcing of candidates from job portals, taking care of interview and selection process.
- HR Administration (eg. leave management, employee database, salary inputs, training history cards)
- Strong communication and organizational skills
- Must be self-motivated with a strong sense of urgency
- Ability to handle multiple priorities while maintaining strong attention to detail and adhering to deadlines
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About Mastercard
We are the global technology company behind the world’s fastest payments processing network.
We are a vehicle for commerce, a connection to financial systems for the previously excluded, a technology innovation lab, and the home of Priceless.
We ensure every employee has the opportunity to be a part of something bigger and to change lives.
We believe as our company grows, so should you.
We believe in connecting everyone to endless, priceless possibilities.
Overview Services and Data is helping to shape the future of data insights by leveraging billions of anonymized, aggregated transactions in a 10 petabyte date warehouse to help financial institutions, merchants, media, and governments manage their businesses more effectively.
Advanced Analytics is charged with servicing clients by centralizing and optimizing the world class analytical, modeling, software coding, data sourcing, product development, product management, econometrics, and associated delivery capabilities of the MasterCard Advisors organization.
It focuses on creating innovative technology solutions which leverage technology in the data science, artificial intelligence and analytics arenas; on enabling the field with industrialized, repeatable products and on researching and incubating emerging technology to determine how they might apply to our customers and facilitate positive outcomes.
What we are re looking for
- Are you motivated by developing new Analytical skills, leading to insights into issues and developing recommendations that add real value to clients?
- Have you managed the client independently and effectively?
- Do you want to play a key role in driving a world beyond cash?
- Leading the formulation of artificial intelligence and machine learning solution objectives. Working on technical requirements based on user need.
- Responsible for creating the framework of solutions that take data intensive and complex business challenges and provide easily consumed and automated outcomes
- Using unique visualization techniques, condenses large volumes of complex ideas into elegant and simple visual models
- Determine opportunities to exploit new data sources or leverage new outcomes from existing data sources, by applying new models and algorithms to create business value
- Influences a client's strategic decisions by using deep industry expertise and deploying innovative Deep Learning analytics solutions in the operational systems Leadership Skills
- Works closely with clients/internal stakeholders to understand their business needs and design a technical solution
- Proving viability of the solution through mechanisms like proof-of-concepts
- Thought Leadership in AI – Developing compelling audience-specific messages and tools. Capture and share best practices and insights internally and with partners and customers.
- Self-driven, energetic, creative with ability to work in global teams.
- Excellent communication skills and a wide knowledge base, to convince the Stakeholders on application of AI/ML
- Provide technical leadership to the team members in relevant topics on AI/ML
- Adaptable - Takes in stride and constantly attunes to the changing needs of a highly dynamic business
- Curious - our key contributors are always seeking to grow their knowledge, to gain new perspectives, and to find better ways forward by researching and showcasing latest AI tools, techniques and applications
- Tenacious - self-starters who will take ownership of projects and bring them to completion despite difficulties or setbacks
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- Experience in building and implementing AI application in any of the two domains - Fraud, risk, marketing, finance, operations for Banks, Fintech, Ecommerce, merchants or retailers
- Has a deep understanding of business value industry requirements and advanced analytic models (statistical, operations research, computing process)
- Responsible for building applications using artificial intelligence/machine learning technology, applying latest industrial and academic developments, prefer Kaggle hackathon participant
- Expertise in deep learning frameworks for Production Systems like Tensorflow, Keras (for RPD and neural net architecture evaluation), PyTorch and Xgboost, Caffe, Theono
- Proficient in Deep Learning algorithm techniques like Random Forest, GBM, KNN, SVM, Bayesian, Text Mining techniques, Multilayer Perceptron, Neural Networks – Feedforward, CNN, LSTM’s GRU’s.
- Optimization techniques – Activity regularization (L1 and L2), Adam, Adagrad, Adadelta concepts; Cost Functions in Neural Nets – Contrastive Loss, Hinge Loss, Binary Cross entropy, Categorical Cross entropy; developed applications in KRR, NLP, Speech and Image processing
- Expertise in classical Machine Learning algorithms like Logistic Regression, Decision trees, Clustering (K-means, Hierarchical and Self-organizing Maps), TSNE, PCA, Bayesian models, Time Series ARIMA/ARMA, Recommender Systems - Collaborative Filtering, FPMC, FISM, Fossil etc
- Extensive experience in statistical tools and programming environments like Python, R, SAS, SQL
- Experience with BIG DATA platforms - Hadoop, Hive, Spark, GPU Clusters for deep learning
Qualifications
- Minimum Graduate degree in Mathematics/Computer Science/Engineering






