The Sales Assistant provides administrative and operational support to the sales team, contributing to the achievement of sales targets and enhancing customer satisfaction. This role involves handling customer inquiries, processing orders, managing sales records, and assisting with various sales-related tasks.
Responsibilities:
- Customer Support:
- Respond to customer inquiries via phone, email, and in person.
- Provide information about products and services.
- Address customer complaints and resolve issues promptly.
- Maintain positive customer relationships.
- Order Processing and Administration:
- Process sales orders accurately and efficiently.
- Prepare sales quotations and proposals.
- Maintain and update customer databases and sales records.
- Generate sales reports and summaries.
- Track order status and ensure timely delivery.
- Sales Team Support:
- Assist sales representatives with administrative tasks.
- Prepare sales presentations and marketing materials.
- Coordinate sales meetings and appointments.
- Manage sales-related correspondence.
- Assist with sales events and promotions.
- Inventory Management:
- Monitor inventory levels and report discrepancies.
- Assist with stock checks and inventory audits.
- Ensure adequate stock levels for sales activities.
- Data Entry and Reporting:
- Accurately enter sales data into CRM systems.
- Generate regular sales reports and analyses.
- Maintain organized sales files and records.
- Communication:
- Communicate effectively with sales team members and other departments.
- Relay important information to sales representatives.
- Maintain professional communication with customers.
Shubham Vishwakarma
Full Stack Developer - Averlon
About HyperNovas Tech
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We’re hiring a Senior Data Scientist with deep real-time voice AI experience and strong backend engineering skills.
1. You’ll own and scale our end-to-end voice agent pipeline that powers AI SDRs, customer support 2. agents, and internal automation agents on calls. This is a hands-on, highly technical role where you’ll design and optimize low-latency, high-reliability voice systems.
3. You’ll work closely with our founders, product, and platform teams, with significant ownership over architecture, benchmarks.
What You’ll Do
1. Own the voice stack end-to-end – from telephony / WebRTC entrypoints to STT, turn-taking, LLM reasoning, and TTS back to the caller.
2. Design for real-time – architect and optimize streaming pipelines for sub-second latency, barge-in, interruptions, and graceful recovery on bad networks.
3. Integrate and tune models – evaluate, select, and integrate STT/TTS/LLM/VAD providers (and self-hosted models) for different use-cases, balancing quality, speed, and cost.
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You’re a Great Fit If You Have
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8. Startup DNA – at least 2 years in an early or mid-stage startup where you shipped fast, owned outcomes, and worked close to the customer.
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- Strong experience with Spring Framework (Spring MVC, Spring REST, Spring Data), ORM frameworks (JPA, Hibernate) and RDBMS (Oracle/MySQL/Postgres)
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Go Programming (Golang)About Us :
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RaRa Now is revolutionizing instant delivery for e-commerce in Indonesia through data-driven logistics.
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RaRa Now is making instant and same-day deliveries scalable and cost-effective by leveraging a differentiated operating model and real-time optimization technology. RaRa makes it possible for anyone, anywhere to get same-day delivery in Indonesia. While others are focusing on - one-to-one- deliveries, the company has developed proprietary, real-time batching tech to do - many-to-many- deliveries within a few hours. RaRa is already in partnership with some of the top eCommerce players in Indonesia like Blibli, Sayurbox, Kopi Kenangan, and many more.
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Workflow manager/scheduler like Airflow, Luigi, Oozie
Good handle on Python
ETL Experience
Batch processing frameworks like Spark, MR/PIG
File formats: parquet, JSON, XML, thrift, avro, protobuff
Rule engine (drools - business rule management system)
Distributed file systems like HDFS, NFS, AWS, S3 and equivalent
Built/configured dashboards
Nice to have:
Data platform experience for eg: building data lakes, working with near - realtime
applications/frameworks like storm, flink, spark.
AWS
File encoding types: Thrift, Avro, Protobuff, Parquet, JSON, XML
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.NETResponsibilities
- Participate in requirements analysis
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- Understanding of Agile methodologies
- Excellent troubleshooting and communication skills
C++Java
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Full Stack Developer - Averlon