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Inside Sales – USA & Middle East (Outcome Driven Role)

Part-time | Lead Generation + Cold Calling + Demo Booking

Incentives: Per Demo + Sales Closure Bonus

We’re hiring an Inside Sales Specialist who can generate qualified leads, run cold outreach, and book product demos for our AI preconstruction platform (USA & Middle East only). This is a pure outcome-driven role — your earnings grow with every demo completed and every sale closed.

What You’ll Do

• Run daily cold calls, email outreach, LinkedIn touches
• Build a steady pipeline of qualified prospects
• Book demos for the founder/sales team
• Follow up until the meeting happens
• Keep CRM updated with notes & outcomes

What We’re Looking For

• Strong communication in English
• Experience in B2B SaaS or construction tech (bonus)
• High ownership, hunger for results, ability to work independently
• Comfortable with outbound calling across US & Middle East time zones

Compensation

• Incentive per booked + completed demo [1K -3K INR]
• Bonus on each sales closure [5K -10K INR]

If you’re driven by clear targets and outcome-based earnings, this role is built for you.

Job Title: Store Manager – Footwear Retail

📍 Location:Hyderabad

💼 Employment Type: Full-Time

About the Role

We are looking for a passionate and result-driven Store Manager to lead our footwear retail store. The ideal candidate will be responsible for driving sales, delivering excellent customer service, managing daily store operations, and leading a team to achieve business goals.

Key Responsibilities

• Oversee day-to-day operations of the footwear store.
• Achieve sales targets and ensure profitability.
• Deliver outstanding customer service and resolve queries effectively.
• Manage inventory control, stock replenishment, and shrinkage.
• Ensure attractive visual merchandising and store presentation.
• Train, motivate, and lead the store team to perform at high standards.
• Monitor KPIs and business performance regularly.
• Maintain compliance with company policies and operational standards.

Qualifications & Experience

• Graduate in Business, Retail, or related field (preferred).
• 3–6 years of experience in retail management, preferably in footwear, fashion, or lifestyle stores.
• Strong knowledge of retail operations, merchandising, and sales techniques.
• Excellent leadership, problem-solving, and customer service skills.

Skills Required

✔ Retail sales & business development

✔ Inventory & stock management

✔ Team leadership & training

✔ Customer relationship management

✔ Visual merchandising & store upkeep

1. Big data developer with 8+ years of professional IT experience with expertise in Hadoop ecosystem components in ingestion, Data modeling, querying, processing, storage, analysis, Data Integration and Implementing enterprise level systems spanning Big Data.
2. A skilled developer with strong problem solving, debugging and analytical capabilities, who actively engages in understanding customer requirements.
3. Expertise in Apache Hadoop ecosystem components like Spark, Hadoop Distributed File Systems(HDFS), HiveMapReduce, Hive, Sqoop, HBase, Zookeeper, YARN, Flume, Pig, Nifi, Scala and Oozie.
4. Hands on experience in creating real - time data streaming solutions using Apache Spark core, Spark SQL & DataFrames, Kafka, Spark streaming and Apache Storm.
5. Excellent knowledge of Hadoop architecture and daemons of Hadoop clusters, which include Name node,Data node, Resource manager, Node Manager and Job history server.
6. Worked on both Cloudera and Horton works in Hadoop Distributions. Experience in managing Hadoop clustersusing Cloudera Manager tool.
7. Well versed in installation, Configuration, Managing of Big Data and underlying infrastructure of Hadoop Cluster.
8. Hands on experience in coding MapReduce/Yarn Programs using Java, Scala and Python for analyzing Big Data.
9. Exposure to Cloudera development environment and management using Cloudera Manager.
10. Extensively worked on Spark using Scala on cluster for computational (analytics), installed it on top of Hadoop performed advanced analytical application by making use of Spark with Hive and SQL/Oracle .
11. Implemented Spark using PYTHON and utilizing Data frames and Spark SQL API for faster processing of data and handled importing data from different data sources into HDFS using Sqoop and performing transformations using Hive, MapReduce and then loading data into HDFS.
12. Used Spark Data Frames API over Cloudera platform to perform analytics on Hive data.
13. Hands on experience in MLlib from Spark which are used for predictive intelligence, customer segmentation and for smooth maintenance in Spark streaming.
14. Experience in using Flume to load log files into HDFS and Oozie for workflow design and scheduling.
15. Experience in optimizing MapReduce jobs to use HDFS efficiently by using various compression mechanisms.
16. Working on creating data pipeline for different events of ingestion, aggregation, and load consumer response data into Hive external tables in HDFS location to serve as feed for tableau dashboards.
17. Hands on experience in using Sqoop to import data into HDFS from RDBMS and vice-versa.
18. In-depth Understanding of Oozie to schedule all Hive/Sqoop/HBase jobs.
19. Hands on expertise in real time analytics with Apache Spark.
20. Experience in converting Hive/SQL queries into RDD transformations using Apache Spark, Scala and Python.
21. Extensive experience in working with different ETL tool environments like SSIS, Informatica and reporting tool environments like SQL Server Reporting Services (SSRS).
22. Experience in Microsoft cloud and setting cluster in Amazon EC2 & S3 including the automation of setting & extending the clusters in AWS Amazon cloud.
23. Extensively worked on Spark using Python on cluster for computational (analytics), installed it on top of Hadoop performed advanced analytical application by making use of Spark with Hive and SQL.
24. Strong experience and knowledge of real time data analytics using Spark Streaming, Kafka and Flume.
25. Knowledge in installation, configuration, supporting and managing Hadoop Clusters using Apache, Cloudera (CDH3, CDH4) distributions and on Amazon web services (AWS).
26. Experienced in writing Ad Hoc queries using Cloudera Impala, also used Impala analytical functions.
27. Experience in creating Data frames using PySpark and performing operation on the Data frames using Python.
28. In depth understanding/knowledge of Hadoop Architecture and various components such as HDFS and MapReduce Programming Paradigm, High Availability and YARN architecture.
29. Establishing multiple connections to different Redshift clusters (Bank Prod, Card Prod, SBBDA Cluster) and provide the access for pulling the information we need for analysis. 
30. Generated various kinds of knowledge reports using Power BI based on Business specification. 
31. Developed interactive Tableau dashboards to provide a clear understanding of industry specific KPIs using quick filters and parameters to handle them more efficiently.
32. Well Experience in projects using JIRA, Testing, Maven and Jenkins build tools.
33. Experienced in designing, built, and deploying and utilizing almost all the AWS stack (Including EC2, S3,), focusing on high-availability, fault tolerance, and auto-scaling.
34. Good experience with use-case development, with Software methodologies like Agile and Waterfall.
35. Working knowledge of Amazon's Elastic Cloud Compute( EC2 ) infrastructure for computational tasks and Simple Storage Service ( S3 ) as Storage mechanism.
36. Good working experience in importing data using Sqoop, SFTP from various sources like RDMS, Teradata, Mainframes, Oracle, Netezza to HDFS and performed transformations on it using Hive, Pig and Spark .
37. Extensive experience in Text Analytics, developing different Statistical Machine Learning solutions to various business problems and generating data visualizations using Python and R.
38. Proficient in NoSQL databases including HBase, Cassandra, MongoDB and its integration with Hadoop cluster.
39. Hands on experience in Hadoop Big data technology working on MapReduce, Pig, Hive as Analysis tool, Sqoop and Flume data import/export tools.

Bringing up Android on custom hardware 

•  Android OS modifications, HAL interface definition language (C++ and Java)
•  Android, JNI and Android application performance optimization 

 Preferred Skills and Experience:

•  Experience in Java or Kotlin development (preferably Android) 
•  Experience in C/C++ with deep understanding of Object-Oriented Analysis, Design and Programming. 
•  Experience with GIT or similar repository management and version control tools. Familiarity with software configuration management tools, defect tracking tools and Agile methodology. 
•  Development in a Linux environment with emphasis on Unit testing alongside functional integration testing. 
•  Android-For-Work, Android Enterprise features and EMM/MDM management solutions 

About Demandbase company

The world’s largest and fastest-growing companies such as Accenture, Adobe, DocuSign and Salesforce rely on Demandbase to drive their Account-Based Marketing strategy and maximize their B2B marketing performance. We pioneered the ABM category nearly a decade ago, and today we lead the category as an indispensable part of the B2B MarTech stack. Our achievements and innovation would not be possible without the driven and collaborative teams here at Demandbase. As a company, we’re as committed to growing careers as we are to building world-class technology. 

InsideView helps businesses drive rapid revenue growth by empowering business leaders to discover new markets, target and engage the right buyers, and manage customer data quality. Our AI-based B2B data and intelligence platform delivers the industry’s most relevant and reliable buyer signals and, combined with InsideView’s data expertise and best-in-class customer support, is trusted by the world’s best performing companies. 

We believe in the power of technology to deliver business value, and in creating solutions that change the way companies sell and engage with their customers. We take risks in order to develop groundbreaking solutions. We are market savvy and competitive, and ready to transform our industry at this exciting inflection point for the company and the market. We focus on the needs of our customers now, and in the future. We love coming to work every day and are looking for smart, engaged, and fun people to join us. 

Our headquarters is located in San Francisco’s vibrant Potrero Hill neighborhood, with additional locations in downtown Austin, Texas, and Hyderabad, Telangana, India.

Job Description: Database Engineer

We are looking for a Database Engineer with 4+ years of experience. We are looking for the ability to optimize, troubleshoot, and ensure high availability of the databases.

Additional desirable skills:

About You

Sales Team Leader Duties and Responsibilities

• Assist Managers in Sales Strategy Development. ...
• Keep Informed of New Products and Services. ...
• Recruit, Train, and Coach the Sales Team. ...
• Delegate Tasks and Set Deadlines. ...
• Set Sales Targets and Motivate Sales Team. ...
• Prepare Sales Reports.

RF Engineer Job Responsibilities:

• Ensuring RF test equipment is calibrated to industry standards.
• Testing the performance of existing wireless products.
• Analysing RF broadcasting product and suggesting improvements.
• Troubleshooting RF tuning / antenna circuit issues.
• RF antenna design (PCB Antenna Design).
• Conducting laboratory tests on RF products.
• Ensuring regulatory standards are met.

RF Engineer Requirements:

• Bachelor's degree in Electronics engineering or a similar field.
• At least 5 years of experience as an RF engineer in the RF industry.
• Advanced knowledge of LTE and RF (Bluetooth/Wireless) networks.
• Excellent written and verbal communication skills.
• Knowledge of RF hardware systems and testing equipment.