
About Us
ANSCER ROBOTICS is a four-year-old startup pioneering Indian-made AMRs for global markets, with operations across India, Asia Pacific, and USA. Our cutting-edge hardware, software, and perception technology transform material handling in manufacturing, warehousing, and logistics..
About the Role
Drive sales of AMRs, AGVs, and intralogistics solutions as a key individual
contributor passionate about automation
Job Type: Full-time
Openings: 2 (one each in West India and South India)
Key Responsibilities
Partner with Regional Sales Manager to achieve AOP via market analysis, territory/account strategy, execution, and metrics tracking.
Build sales plans to meet revenue targets, expand market share, and secure wins from existing/new accounts.
Identify customer needs, qualify opportunities, design solutions, and present value propositions.
Cultivate relationships across customer organizations, own account strategies, and maintain healthy sales pipeline.
Collaborate with solution teams, leadership, and technical experts to strategize and close deals.
Follow ANSCER Robotics sales processes and diligently develop, generate and maintain opportunity for a healthy funnel.
Lead internal strategy calls, master industry trends/standards, deliver great demos, and position solutions in complex sales cycles.
Engage in preliminary technical presentations and discussions with customers, so as to understand and fulfil their needs and requirements
Deliver accurate monthly/quarterly/annual sales forecasts and reports.
Required Qualifications
3-5+ years B2B sales/account management with consistent quota
achievement.
Excellent communication skills. Ability to interact with customers’ engineering and business staff at all levels.
Strong understanding of technical solution selling and enterprise-level customer engagement.
Willingness to travel locally/internationally; proven passion to win.
Preferred Qualifications
Engineering background (Mechanical, Mechatronics, Electronics, or Industrial).
Experience selling capital equipment, industrial automation, robotics, or warehouse solutions.
Deep expertise in mobile robotics, material handling, AMR/AGV technology, and major account management.
Benefits
Competitive salary, performance incentives, other benefits, growth opportunities and more.

About ANSCER Robotics
About
The anscer has developed mobile robot systems based on its patented platform, AMR (Automated Mobile Robot). use ANSCER robots to increase your shopfloor effiency and productivity
Tech stack
Candid answers by the company
The ANSCER has developed mobile robot systems based on its patented platform, AMR (Automated Mobile Robot). use ANSCER robots to increase your shopfloor effiency and productivity
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- Lead enterprise-scale implementation of data warehouse data platforms on Databricks and Snowflake environments.
- Design and implement Medallion (Bronze/Silver/Gold) architecture and scalable enterprise data models.
- Establish data modeling standards (dimensional, data vault, lakehouse patterns) and ensure best practices across projects
- Establish enterprise data governance frameworks including cataloging, lineage, stewardship, and compliance using Atlan.
- Define and implement CI/CD pipelines for infrastructure and data platform deployments
- Design data architectures that support AI/ML and Generative AI workloads including vector storage, feature layers, and secure access patterns.
- Build scalable ingestion frameworks supporting batch, streaming, and CDC pipelines.
- Architect secure, high-performance data integration layers for analytics, BI, and AI consumption.
- Develop target-state architecture blueprints and enforce data standards, governance, and best practices across teams.
- Collaborate with engineering, analytics, and data science teams to ensure platform alignment and scalability.
- Engage with clients as a trusted advisor, driving data strategy, roadmap definition, and identifying opportunities for expansion.
Ideal Candidate
- Strong Databricks / AWS Data Architect profile
- Mandatory (Experience 1) – Must have minimum 8+ years of experience in Data Architecture / Data Engineering, with exposure in enterprise-scale data platform modernization initiatives
- Mandatory (Experience 2) – Must have minimum 3+ years of deep hands-on experience in Databricks-based lakehouse architecture on AWS, including large-scale data platform implementations
- Mandatory (Experience 3) – Strong expertise in Databricks ecosystem including Delta Lake, Databricks SQL, Unity Catalog, Delta Live Tables, and MLflow with focus on performance optimization and security
- Mandatory (Experience 4) – Strong experience with AWS data services including S3, Glue, EMR, Lambda, Redshift, Athena, Lake Formation, and DMS, with strong understanding of cloud-native architecture patterns
- Mandatory (Experience 5) – Proven experience designing and implementing Medallion (Bronze/Silver/Gold) architecture, scalable data models (Dimensional/Data Vault), and enterprise lakehouse platforms supporting batch and real-time processing
- Mandatory (Experience 6) – Must have hands-on experience building scalable ingestion frameworks including batch, streaming, and CDC pipelines using tools like Kafka, Kinesis, Spark, or similar technologies
- Mandatory (Skill 1) – Proven experience implementing CI/CD pipelines for data platforms, including infrastructure as code, automated deployments, and environment management
- Mandatory (Skill 2) – Hands-on experience enabling data platforms for AI/ML and Generative AI use cases, including feature stores, vector storage, and secure data access patterns
- Mandatory (Skill 3) – Experience with orchestration tools such as Apache Airflow or MWAA and designing integration layers for analytics, BI, and AI consumption
- Preferred (Company) – Product Companies.
- Preferred (Certification) – AWS / Databricks / Snowflake certifications; experience with Snowflake alongside Databricks; exposure to MDM, data quality frameworks, and enterprise metadata tools
Looking for candidates only with tier 1 colleges OR have experience in a product-based company.
You will be designing front-end architecture with architectural guidelines in mind (secure,high-performing, scalable, extensible, flexible, simple).
● Architect, Design and develop front-end applications.
Desired Skills
● Minimum 6+ years of coding experience.
● Strong hands-on experience on React.js, MVC & related JS Frameworks.
● Strong knowledge of HTML5, CSS3, responsive design, single page applications.
● Build a highly scalable product right from scratch.
● Expertise in caching, minification, bundling techniques to improve front-end performance.
● Experience in working with AB Testing.
● Experience in using front-end monitoring tools to troubleshoot errors and recognise performance bottlenecks.
● Strong foundation in computer science fundamentals: data structures, algorithms, and coding.
● Proficient understanding of code versioning tools(GIT, SVN), working experience with Agile methodology and fast iterative development cycles
- Key areas of responsibilities:-
- Maintenance and enhancements of current websites.
- System requirement gathering, development, testing and maintenance for new websites or applications.
- Managing user access to the various components of the company’s IT infrastructure based on an assessment of the user requirement and security.
- Managing the admin section for the company’s websites.
Creating an environment for Dreamweaver editor for users to develop applications. - Documentation Designing a database and coordinating the UI design.
- Integrating the MySQL database with the PHP applications.
Maintaining web-based PHP applications. - Designing and developing applications and websites.
Resolving issues related to PHP development in different applications. - Experience and skills required:-
Skills : PHP, Mysql, MVC, JS, JQUERY,HTML,CSS, AJAX , WORDPRESS.
Experience : Min 3 year Qualification: Any technical background (MCA, BE, MSC Computer etc)
The ideal candidate will have experience in all stages of the sales cycle. They should be confident with building new client relationship and maintaining existing ones. They should have evidence of strong skills and possess good negotiation skills.
Responsibilities :
Build relationships with prospective clients
Maintain consistent contact with existing clients
Manage sales pipeline
Analyse the market and establish competitive advantages
Track metrics to ensure targets are hit
Qualifications: Bachelor's degree
1+ years in B2B sales industry Experience in full sales cycle including deal closing
Demonstrated sales success
Strong negotiation skills
Strong communication and presentation skills
Industry Education Management Employment
Skills:
∙ Excellent communication and analytical Skills
∙ Strong leadership and management skills
∙ Must have excellent interpersonal skills
∙ Excellent written and verbal communication
∙ Active listening and Problem solving skills
∙ Ability to multitask, prioritize, and manage time effectively
Roles and Responsibilities:
∙ A professional approach in answering calls and provide information about products and services, taking input of issues and their redressal thereof
∙ Keep records of customer interactions, process customer accounts and file documents
∙ Proficiently communicating with customers electronically and taking follow up of the procedures.
∙ Handling customer queries regarding various products ∙ Identify and assess customer needs to achieve satisfaction ∙ Exhibiting patience in order to resolve queries in a timely manner ∙ Escalate unresolved issues to the appropriate internal teams ∙ Document knowledge in the form of solution article
∙ Respond to customer queries in a timely and accurate way, via phone, email or chat
∙ Patience when handling tough cases.
∙ Take a deep dive into product key features and have keen insight/knowledge about the product.
Company Description
At Bungee Tech, we help retailers and brands meet customers everywhere and, on every occasion, they are in. We believe that accurate, high-quality data matched with compelling market insights empowers retailers and brands to keep their customers at the center of all innovation and value they are delivering.
We provide a clear and complete omnichannel picture of their competitive landscape to retailers and brands. We collect billions of data points every day and multiple times in a day from publicly available sources. Using high-quality extraction, we uncover detailed information on products or services, which we automatically match, and then proactively track for price, promotion, and availability. Plus, anything we do not match helps to identify a new assortment opportunity.
Empowered with this unrivalled intelligence, we unlock compelling analytics and insights that once blended with verified partner data from trusted sources such as Nielsen, paints a complete, consolidated picture of the competitive landscape.
We are looking for a Big Data Engineer who will work on the collecting, storing, processing, and analyzing of huge sets of data. The primary focus will be on choosing optimal solutions to use for these purposes, then maintaining, implementing, and monitoring them.
You will also be responsible for integrating them with the architecture used in the company.
We're working on the future. If you are seeking an environment where you can drive innovation, If you want to apply state-of-the-art software technologies to solve real world problems, If you want the satisfaction of providing visible benefit to end-users in an iterative fast paced environment, this is your opportunity.
Responsibilities
As an experienced member of the team, in this role, you will:
- Contribute to evolving the technical direction of analytical Systems and play a critical role their design and development
- You will research, design and code, troubleshoot and support. What you create is also what you own.
- Develop the next generation of automation tools for monitoring and measuring data quality, with associated user interfaces.
- Be able to broaden your technical skills and work in an environment that thrives on creativity, efficient execution, and product innovation.
BASIC QUALIFICATIONS
- Bachelor’s degree or higher in an analytical area such as Computer Science, Physics, Mathematics, Statistics, Engineering or similar.
- 5+ years relevant professional experience in Data Engineering and Business Intelligence
- 5+ years in with Advanced SQL (analytical functions), ETL, Data Warehousing.
- Strong knowledge of data warehousing concepts, including data warehouse technical architectures, infrastructure components, ETL/ ELT and reporting/analytic tools and environments, data structures, data modeling and performance tuning.
- Ability to effectively communicate with both business and technical teams.
- Excellent coding skills in Java, Python, C++, or equivalent object-oriented programming language
- Understanding of relational and non-relational databases and basic SQL
- Proficiency with at least one of these scripting languages: Perl / Python / Ruby / shell script
PREFERRED QUALIFICATIONS
- Experience with building data pipelines from application databases.
- Experience with AWS services - S3, Redshift, Spectrum, EMR, Glue, Athena, ELK etc.
- Experience working with Data Lakes.
- Experience providing technical leadership and mentor other engineers for the best practices on the data engineering space
- Sharp problem solving skills and ability to resolve ambiguous requirements
- Experience on working with Big Data
- Knowledge and experience on working with Hive and the Hadoop ecosystem
- Knowledge of Spark
- Experience working with Data Science teams
Key Responsibilities
- Primarily responsible for the design, development and testing of LTE features for small cell system being developed by Mavenir
- Software development (code & test) of their modules with no supervision. Ability to do high level design and review low-level design/code.
- Accurate estimation of their work.
- Participate in architecture discussions.
- Adherence to development process and quality metrics.
Job Requirements
- Good understanding of 5G, LTE and/or UMTS standards.
- Knowledge of 3GPP NR, EUTRAN procedures.
- Knowledge on any of the protocols like RRC, MAC, RLC, LTE/NR L3/L2 protocol stacks.
- Knowledge of RRM, Tr069 interface, NETCONF, YANG.
- Experience of developing UNIX/Linux applications.
- Excellent knowledge of C, data structures and operating systems.
- Knowledge of Network virtualisation concepts will be a plus.
- Experience of any of the following would also be an advantage: IP Networks and Protocols, SCTP, MTP3, M3UA, SS7, SCCP, HNBAP, RUA, RANAP, S1AP, GTP
- Good knowledge of any of version control system like SVN, MKS, clearcase.
- Good team player with knowledge of Agile methodology will be a plus
Key Responsibilities : ( Data Developer Python, Spark)
Exp : 2 to 9 Yrs
Development of data platforms, integration frameworks, processes, and code.
Develop and deliver APIs in Python or Scala for Business Intelligence applications build using a range of web languages
Develop comprehensive automated tests for features via end-to-end integration tests, performance tests, acceptance tests and unit tests.
Elaborate stories in a collaborative agile environment (SCRUM or Kanban)
Familiarity with cloud platforms like GCP, AWS or Azure.
Experience with large data volumes.
Familiarity with writing rest-based services.
Experience with distributed processing and systems
Experience with Hadoop / Spark toolsets
Experience with relational database management systems (RDBMS)
Experience with Data Flow development
Knowledge of Agile and associated development techniques including:
n
- Determining the structure and design of web pages.
- Building reusable and efficient code for future use.
- Ensuring web design is optimized for smartphones.
- Use markup languages like HTML to create user-friendly web pages.
- Maintain and improve the website.
- Optimize applications for maximum speed.
- Collaborate with back-end developers and web designers to improve usability.
- Stay up-to-date on emerging technologies.
- Minimum 1+ years of experience as a Front-end Developer.
- Proficiency in HTML, CSS, JavaScript, and jQuery.
- Understanding of server-side CSS.
- Knowledge of basic SEO principles.
- Proficiency with JavaScript frameworks such as jQuery, Angular 2+.
- Significant experience of debugging using tools like Chrome Developer Console.







