Inside Sales Executive

Job Details

- Job Title: Enterprise Sales Manager (B2B SaaS)

- Industry: Software Technology Company

- Experience Required: 2-10 years

- Working Days: 5 days/week

- Job Location: Mumbai

- CTC Range: Best in Industry

Review Criteria

• Strong enterprise sales executive profile
• 2+ years of selling B2B SaaS.
• Must have 2+ of experience of selling to enterprise clients OR to manufacturing industry OR selling FinTech product, SAP Product sales/Finance ERP solutions (like invoice processing, vendor management, Source to pay, Compliance solutions).
• Must have experience in end-to-end sales from lead generation, prospecting, demos, proposal building, negotiation, and deal closure
• Must have stable career history — no frequent job hopping
• Final round is F2F (client will handle the travel)

Role & Responsibilities

We are looking for a dynamic and results-driven Enterprise Sales Manager to drive our sales strategy and expand our market presence. This role demands a strong understanding of SAP/Finance ERP solutions, excellent communication skills, and a proven track record in IT/software sales.

Key Responsibilities:

• Sales Strategy Development: Develop and execute sales plans to achieve company revenue targets in the SAP/ERP domain.
• Client Acquisition: Identify, engage, and convert prospective clients by demonstrating the value of our SAP/ERP solutions.
• Relationship Management: Build and maintain long-term relationships with clients, ensuring high levels of satisfaction and retention.
• Market Analysis: Stay updated on industry trends, competitor activities, and market demands to identify growth opportunities.
• Proposal & Presentation: Prepare and deliver compelling proposals, presentations, and demos tailored to client needs.
• Collaboration: Work closely with technical and consulting teams to ensure seamless delivery of solutions and services.

Ideal Candidate

• Experience: Minimum 2 years in sales, with a strong focus on SAP Product sales/Finance ERP solutions
• Industry Preference: Candidates with prior experience in handling manufacturing industry clients will be given preference.
• Educational Qualification: Bachelor’s degree in Business, IT, or a related field. An MBA is an added advantage.

Skills:

• Proven ability to meet and exceed sales targets.
• Excellent communication, negotiation, and presentation skills.
• Understanding of SAP/ERP systems and their applications in business processes.
• Strong client relationship management abilities.
• Track record of success managing large enterprise accounts
• Track record of consistently over-achieving quota (top 10% in your company)
• Strong interpersonal and presentation skills
• Exceptional verbal and written communication skills
• Ability to travel to prospects and customers if required
• Good organizer with the ability to prioritize and multitask
• Proven ability to manage multiple concurrent sales cycles.

Strong Partner Sales Profile (Cloud / Enterprise Ecosystem)

Mandatory (Total Experience): Must have 1+years of B2B sales experience in Cloud / IT Services OR partner / enterprise solution sales exposure within BFSI, Manufacturing, or Pharmaceutical sectors

Mandatory (Experience 1 – Partner / Channel Sales): Must have experience working with channel partners, system integrators, resellers, or strategic alliances

Mandatory (Experience 2 – Partner-Led Deal Execution): Must have supported or driven partner-led sales cycles, including requirement alignment, proposal coordination, and deal closure

Mandatory (Communication & Stakeholder Management): Must be able to coordinate across partners, internal teams, and end customers effectively

Mandatory (Education Background): Must have a technical or IT-oriented education background —BE / BSc IT / MSc IT is mandatory

Job Description :

We are seeking a highly experienced Sr Data Modeler / Solution Architect to join the Data Architecture team at Corporate Office in Bangalore. The ideal candidate will have 4 to 8 years of experience in data modeling and architecture with deep expertise in AWS cloud stack, data warehousing, and enterprise data modeling tools. This individual will be responsible for designing and creating enterprise-grade data models and driving the implementation of Layered Scalable Architecture or Medallion Architecture to support robust, scalable, and high-quality data marts across multiple business units.

This role will involve managing complex datasets from systems like PoS, ERP, CRM, and external sources, while optimizing performance and cost. You will also provide strategic leadership on data modeling standards, governance, and best practices, ensuring the foundation for analytics and reporting is solid and future-ready.

Key Responsibilities:

·               Design and deliver conceptual, logical, and physical data models using tools like ERWin.

·               Implement Layered Scalable Architecture / Medallion Architecture for building scalable, standardized data marts.

·               Optimize performance and cost of AWS-based data infrastructure (Redshift, S3, Glue, Lambda, etc.).

·               Collaborate with cross-functional teams (IT, business, analysts) to gather data requirements and ensure model alignment with KPIs and business logic.

·               Develop and optimize SQL code, materialized views, stored procedures in AWS Redshift.

·               Ensure data governance, lineage, and quality mechanisms are established across systems.

·               Lead and mentor technical teams in an Agile project delivery model.

·               Manage data layer creation and documentation: data dictionary, ER diagrams, purpose mapping.

·               Identify data gaps and availability issues with respect to source systems.

Required Skills & Qualifications:

·               Bachelor’s or Master’s degree in Computer Science, IT, or related field (B.E./B.Tech/M.E./M.Tech/MCA).

·               Minimum 4 years of experience in data modeling and architecture.

·               Proficiency with data modeling tools such as ERWin, with strong knowledge of forward and reverse engineering.

·               Deep expertise in SQL (including advanced SQL, stored procedures, performance tuning).

·               Strong experience in data warehousing, RDBMS, and ETL tools like AWS Glue, IBM DataStage, or SAP Data Services.

·               Hands-on experience with AWS services: Redshift, S3, Glue, RDS, Lambda, Bedrock, and Q.

·               Good understanding of reporting tools such as Tableau, Power BI, or AWS QuickSight.

·               Exposure to DevOps/CI-CD pipelines, AI/ML, Gen AI, NLP, and polyglot programming is a plus.

·               Familiarity with data governance tools (e.g., ORION/EIIG).

·               Domain knowledge in Retail, Manufacturing, HR, or Finance preferred.

·               Excellent written and verbal communication skills.

Certifications (Preferred):

·               AWS Certification (e.g., AWS Certified Solutions Architect or Data Analytics – Specialty)

·               Data Governance or Data Modeling Certifications (e.g., CDMP, Databricks, or TOGAF)

Mandatory Skills

aws, Technical Architecture, Aiml, SQL, Data Warehousing, Data Modelling

About Us

MIC Global is a full-stack micro-insurance provider, purpose-built to design and deliver embedded parametric micro-insurance solutions to platform companies. Our mission is to make insurance more accessible for new, emerging, and underserved risks using our MiIncome loss-of-income products, MiConnect, MiIdentity, Coverpoint technology, and more — backed by innovative underwriting capabilities as a Lloyd’s Coverholder and through our in-house reinsurer, MicRe.

We operate across 12+ countries, with our Global Operations Center in Bangalore supporting clients worldwide, including a leading global ride-hailing platform and a top international property rental marketplace. Our distributed teams across the UK, USA, and Asia collaborate to ensure that no one is beyond the reach of financial security.

About the Team 

We're seeking a mid-level Data Engineer with strong DBA experience to join our insurtech data analytics team. This role focuses on supporting various teams including infrastructure, reporting, and analytics. You'll be responsible for SQL performance optimization, building data pipelines, implementing data quality checks, and helping teams with database-related challenges. You'll work closely with the infrastructure team on production support, assist the reporting team with complex queries, and support the analytics team in building visualizations and dashboards.

Key Roles and Responsibilities 

Database Administration & Optimization

• Support infrastructure team with production database issues and troubleshooting
• Debug and resolve SQL performance issues, identify bottlenecks, and optimize queries
• Optimize stored procedures, functions, and views for better performance
• Perform query tuning, index optimization, and execution plan analysis
• Design and develop complex stored procedures, functions, and views
• Support the reporting team with complex SQL queries and database design

Data Engineering & Pipelines

• Design and build ETL/ELT pipelines using Azure Data Factory and Python
• Implement data quality checks and validation rules before data enters pipelines
• Develop data integration solutions to connect various data sources and systems
• Create automated data validation, quality monitoring, and alerting mechanisms
• Develop Python scripts for data processing, transformation, and automation
• Build and maintain data models to support reporting and analytics requirements

Support & Collaboration

• Help data analytics team build visualizations and dashboards by providing data models and queries
• Support reporting team with data extraction, transformation, and complex reporting queries
• Collaborate with development teams to support application database requirements
• Provide technical guidance and best practices for database design and query optimization

Azure & Cloud

• Work with Azure services including Azure SQL Database, Azure Data Factory, Azure Storage, Azure Functions, and Azure ML
• Implement cloud-based data solutions following Azure best practices
• Support cloud database migrations and optimizations
• Work with Agentic AI concepts and tools to build intelligent data solutions

Ideal Candidate Profile

Essential

• 5-8 years of experience in data engineering and database administration
• Strong expertise in MS SQL Server (2016+) administration and development
• Proficient in writing complex SQL queries, stored procedures, functions, and views
• Hands-on experience with Microsoft Azure services (Azure SQL Database, Azure Data Factory, Azure Storage)
• Strong Python scripting skills for data processing and automation
• Experience with ETL/ELT design and implementation
• Knowledge of database performance tuning, query optimization, and indexing strategies
• Experience with SQL performance debugging tools (XEvents, Profiler, or similar)
• Understanding of data modeling and dimensional design concepts
• Knowledge of Agile methodology and experience working in Agile teams
• Strong problem-solving and analytical skills
• Understanding of Agentic AI concepts and tools
• Excellent communication skills and ability to work with cross-functional teams

Desirable

• Knowledge of insurance or financial services domain
• Experience with Azure ML and machine learning pipelines
• Experience with Azure DevOps and CI/CD pipelines
• Familiarity with data visualization tools (Power BI, Tableau)
• Experience with NoSQL databases (Cosmos DB, MongoDB)
• Knowledge of Spark, Databricks, or other big data technologies
• Azure certifications (Azure Data Engineer Associate, Azure Database Administrator Associate)
• Experience with version control systems (Git, Azure Repos)

Tech Stack

• MS SQL Server 2016+, Azure SQL Database, Azure Data Factory, Azure ML, Azure Storage, Azure Functions, Python, T-SQL, Stored Procedures, ETL/ELT, SQL Performance Tools (XEvents, Profiler), Agentic AI Tools, Azure DevOps, Power BI, Agile, Git

Benefits

• 33 days of paid holiday
• Competitive compensation well above market average
• Work in a high-growth, high-impact environment with passionate, talented peers
• Clear path for personal growth and leadership development

Job Title: Sales Executive – HoReCa (Food Products)

Job Overview:

We are seeking a dynamic Sales Executive to drive business development within the HoReCa sector (Hotels, Restaurants & Catering). The role involves client acquisition, product demonstrations, sales generation, and building strong relationships with key decision-makers.

Key Responsibilities:

• Identify and acquire new clients within the HoReCa sector.
• Conduct sales meetings, presentations, and product demonstrations.
• Study and understand product benefits to match client needs.
• Organize trials, provide technical/culinary support, and convert into sales.
• Achieve monthly and quarterly sales targets through proactive lead generation.
• Conduct market research to explore new opportunities and trends.
• Coordinate with internal teams for smooth order fulfilment and client satisfaction.
• Prepare and maintain reports on sales progress and client interactions.

Requirements:

• Proven sales experience in HoReCa / food industry.
• Strong communication and relationship-building skills.
• Knowledge of food products/ingredients is preferred.
• Target-driven, self-motivated, and proactive.

Why This Role Matters

• We are looking for a Staff Engineer to lead the technical direction and hands-on development of our next-generation, agentic AI-first marketing platforms. This is a high-impact role to architect, build, and ship products that change how marketers interact with data, plan campaigns, and make decisions.

What You'll Do

• Build Gen-AI native products: Architect, build, and ship platforms powered by LLMs, agents, and predictive AI
• Stay hands-on: Design systems, write code, debug, and drive product excellence
• Lead with depth: Mentor a high-caliber team of full stack engineers.
• Speed to market: Rapidly ship and iterate on MVPs to maximize learning and feedback.
• Own the full stack: From backend data pipelines to intuitive UIs—from Airflow to React - from BigQuery to embeddings.
• Scale what works: Ensure scalability, security, and performance in multi-tenant, cloud-native environments (GCP).
• Collaborate deeply: Work closely with product, growth, and leadership to align tech with business priorities.

What You Bring

• 8+ years of experience building and scaling full-stack, data-driven products
• Proficiency in backend (Node.js, Python) and frontend (React), with solid GCP experience
• Strong grasp of data pipelines, analytics, and real-time data processing
• Familiarity with Gen-AI frameworks (LangChain, LlamaIndex, OpenAI APIs, vector databases)
• Proven architectural leadership and technical ownership
• Product mindset with a bias for execution and iteration

Our Tech Stack

• Cloud: Google Cloud Platform
• Backend: Node.js, Python, Airflow
• Data: BigQuery, Cloud SQL
• AI/ML: TensorFlow, OpenAI APIs, custom agents
• Frontend: React.js

What You Get

• Meaningful equity in a high-growth startup
• The chance to build global products from India
• A culture that values clarity, ownership, learning, humility, and candor
• A rare opportunity to build with Gen-AI from the ground up

Who You Are

• You’re initiative-driven, not interruption-driven.
• You code because you love building things that matter.
• You enjoy ambiguity and solve problems from first principles.
• You believe true leadership is contextual, hands-on, and grounded.
• You’re here to build — not just maintain.
• You care deeply about seeing your products empower real users, run reliably at scale, and adapt intelligently with minimal manual effort.
• You know that elegant code is just 30% of the job — the real craft lies in the engineering rigour, edge-case handling, and production resilience that make great products truly dependable.

Looking for a Java Technical Architect/ Java architect with experience between 10 to 14 years.

Candidate must have experience  in Java technologies along with SpringBoot and Microservices.
Must have experience in Cloud Technology - AWS.
Must have experience in Angular 4 or above version.

Note: 1. Candidate must be ready to work in night shift.
          2. Looking only for Tamilnadu based candidates.