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Required Skills: Techno-Commercial Sales Expertise, B2B / Institutional Sales & Business Development, Technical Knowledge of Textiles, Negotiation & Relationship Management, Market Intelligence & Strategic Selling
Criteria:
It's a sales profile so need a strong sales person from textile sector who can do the B2B / OEM / Institutional sales
- Experience: 5 to 20 years in Technical Textiles or allied industrial textile sectors (Agri, Geo, Packaging, Automotive)
- Proven experience in B2B / OEM / Institutional Sales within industrial or technical textiles
- Candidate should have experience in selling Fabric and Technical Textiles.
- Strong techno-commercial acumen – ability to link product performance, costing, and customer application
- Hands-on experience in pricing, proposals, negotiations, and margin management
- Exposure to product development coordination with R&D, Production, and Quality teams
- Excellent communication, negotiation, and relationship management skills
- Preferred experience in international business development (mandatory for export roles)
- Strong analytical, reporting, and forecasting abilities
- Willingness to travel within India and overseas as per business requirements.
Open Position:
Techno-Commercial Sales (Manager / Sr. Manager / AGM / GM)
Description
What You’ll Do:
• Lead B2B and institutional sales in your assigned technical textile vertical.
• Identify and onboard new customers, distributors, and OEMs in both domestic and export markets.
• Offer techno-commercial solutions tailored to customer applications and performance requirements.
• Work closely with R&D, Production, and Quality teams for trials, samples, and custom developments.
• Manage pricing, proposals, and negotiations, backed by a strong understanding of product costing, margins, and profitability.
• Track and report market trends, competitor movements, and emerging business opportunities.
• Deliver on sales and margin targets, while building long-term customer relationships.
Who You Are:
• Qualification: B.Tech / Diploma (Textiles, Polymers, Mechanical) or MBA (Marketing).
• Experience: 5–20 years in Technical Textiles or allied industrial textile sectors – Agri, Geo, Packaging, or Automotive.
• Strong techno-commercial mindset, with the ability to connect product performance and costing to customer needs.
• Proven background in B2B / OEM / institutional sales.
• Excellent communication, negotiation, and relationship management skills.
• For export roles, international business development experience is essential.
Preferred Background:
We’re looking for people who have worked with established technical textile or industrial fabric manufacturers, particularly in areas such as:
• Agri Textiles: Shade nets, crop covers, pond liners, etc.
• Geo Textiles: Woven / nonwoven fabrics, reinforcement, filtration, erosion control.
• Packaging Textiles: PP/HDPE woven, FIBC, industrial sacks.
• Automotive or Industrial Textiles: Roof liners, filtration media, composites, or performance fabrics.
Data Science
Machine Learning (ML)
PythonAbout antuit.ai
Antuit.ai is the leader in AI-powered SaaS solutions for Demand Forecasting & Planning, Merchandising and Pricing. We have the industry’s first solution portfolio – powered by Artificial Intelligence and Machine Learning – that can help you digitally transform your Forecasting, Assortment, Pricing, and Personalization solutions. World-class retailers and consumer goods manufacturers leverage antuit.ai solutions, at scale, to drive outsized business results globally with higher sales, margin and sell-through.
Antuit.ai’s executives, comprised of industry leaders from McKinsey, Accenture, IBM, and SAS, and our team of Ph.Ds., data scientists, technologists, and domain experts, are passionate about delivering real value to our clients. Antuit.ai is funded by Goldman Sachs and Zodius Capital.
The Role:
Antuit.ai is interested in hiring a Principal Data Scientist, this person will facilitate standing up standardization and automation ecosystem for ML product delivery, he will also actively participate in managing implementation, design and tuning of product to meet business needs.
Responsibilities:
Responsibilities includes, but are not limited to the following:
- Manage and provides technical expertise to the delivery team. This includes recommendation of solution alternatives, identification of risks and managing business expectations.
- Design, build reliable and scalable automated processes for large scale machine learning.
- Use engineering expertise to help design solutions to novel problems in software development, data engineering, and machine learning.
- Collaborate with Business, Technology and Product teams to stand-up MLOps process.
- Apply your experience in making intelligent, forward-thinking, technical decisions to delivery ML ecosystem, including implementing new standards, architecture design, and workflows tools.
- Deep dive into complex algorithmic and product issues in production
- Own metrics and reporting for delivery team.
- Set a clear vision for the team members and working cohesively to attain it.
- Mentor and coach team members
Qualifications and Skills:
Requirements
- Engineering degree in any stream
- Has at least 7 years of prior experience in building ML driven products/solutions
- Excellent programming skills in any one of the language C++ or Python or Java.
- Hands on experience on open source libraries and frameworks- Tensorflow,Pytorch, MLFlow, KubeFlow, etc.
- Developed and productized large-scale models/algorithms in prior experience
- Can drive fast prototypes/proof of concept in evaluating various technology, frameworks/performance benchmarks.
- Familiar with software development practices/pipelines (DevOps- Kubernetes, docker containers, CI/CD tools).
- Good verbal, written and presentation skills.
- Ability to learn new skills and technologies.
- 3+ years working with retail or CPG preferred.
- Experience in forecasting and optimization problems, particularly in the CPG / Retail industry preferred.
Information Security Responsibilities
- Understand and adhere to Information Security policies, guidelines and procedure, practice them for protection of organizational data and Information System.
- Take part in Information Security training and act accordingly while handling information.
- Report all suspected security and policy breach to Infosec team or appropriate authority (CISO).
EEOC
Antuit.ai is an at-will, equal opportunity employer. We consider applicants for all positions without regard to race, color, religion, national origin or ancestry, gender identity, sex, age (40+), marital status, disability, veteran status, or any other legally protected status under local, state, or federal law.
Data Science
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