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Sr. Sales Manager – Enterprise Solutions (HUNTER Role)

Location: India (Onsite)

Experience: 10–12 years in enterprise solution sales, including 5–7 years in SFA/DMS,

merchandising, or related tech sales

Market Focus: India

Reporting To: VP Sales

The Opportunity

This is not a farming role. This is not about maintaining accounts.

We’re looking for a relentless HUNTER — someone who lives for the chase, thrives on

creating opportunities from scratch, and doesn’t stop until the deal is closed. If you’re a hustler,

a target-smasher, and a relationship-builder who can open doors at the highest levels, WINIT

wants you.

You’ll be responsible for hunting new enterprise logos, building deep CxO relationships, and

expanding our footprint across India — selling our AI-powered Sales Force Automation (SFA),

Distributor Management Systems (DMS), Merchandising Solutions, and Enterprise AI

offerings that are transforming how FMCG, electronics, and consumer durables companies

sell, distribute, and execute in the market.

What You’ll Do

● Hunt and win — identify, engage, and close new enterprise accounts in FMCG,

Electronics, and Consumer Durables sectors.

● Lead with value and benefits, not just features — clearly articulate the business impact

of SFA, DMS, Merchandising, and AI solutions.

● Own the full sales cycle — from cold outreach and discovery to proposal creation,

negotiation, contract validation, and signed deal.

● Deliver professional, high-impact product demos tailored to the client’s needs.

● Learn the product in depth and continuously enhance your technical and functional

understanding.

● Acquire strong domain knowledge in FMCG sales, distribution, merchandising, and AI

applications — become a trusted advisor to clients.

● Negotiate like a pro — balance winning deals with protecting margins and ensuring

commercial viability.

● Create compelling proposals and RFP responses that align with client priorities.

● Validate contracts and ensure all terms are correct and commercially sound.

● Take ownership of revenue accruals — track, verify, and ensure accurate reporting in

coordination with finance.

● Use CRM systems to manage leads, track opportunities, and maintain accurate sales

forecasts.

● Build and execute a territory domination plan to maximize market penetration.

● Create and grow a network of partners and resellers to expand indirect sales

channels.

● Use AI-powered sales intelligence tools to research accounts, personalize outreach,

and stay ahead of competition.

● Be target-oriented and driven, consistently achieving and exceeding assigned sales

goals.

What You Bring

● 10–12 years in enterprise sales, with 5–7 years selling SFA, DMS, merchandising

solutions, or related enterprise software in the Indian market.

● Non-negotiable HUNTER mindset — you live for winning new business, not just

managing existing accounts.

● Proven ability to sell value and benefits to CxOs and senior leaders, tying solutions

directly to business outcomes.

● Skilled at delivering professional demos that inspire confidence and drive buying

decisions.

● Commitment to deep product learning and continuously acquiring domain expertise.

● Strong negotiation skills with a track record of closing complex enterprise deals.

● Experience in proposal writing, contract validation, and managing revenue

accruals.

● Proficient in using CRM platforms (e.g., Salesforce, HubSpot, Zoho) to manage the

sales process.

● Demonstrated success in building and managing partner and reseller networks.

● Strong network across FMCG, Electronics, and Consumer Durables in India.

● Comfort using AI tools like LinkedIn Sales Navigator AI, ChatGPT for proposal drafting,

and competitive intelligence platforms to gain an edge.

● Entrepreneurial, self-driven, and comfortable working in high-pressure, target-driven

environments.

Why WINIT

● Sell market-leading AI-powered SFA, DMS, Merchandising, and Enterprise AI

solutions trusted by top brands globally.

● Work with a high-performance sales culture that rewards results, hustle, and ambition.

● The more you sell, the more you earn — your effort directly drives your income.

● A culture that values ownership, speed, and getting things done.

● Backed by a global team, cutting-edge tech, and strong product-market fit.

AWS Glue Developer 

Work Experience: 6 to 8 Years

Work Location:  Noida, Bangalore, Chennai & Hyderabad

Must Have Skills: AWS Glue, DMS, SQL, Python, PySpark, Data integrations and Data Ops, 

Job Reference ID:BT/F21/IND

Job Description:

Design, build and configure applications to meet business process and application requirements.

Responsibilities:

7 years of work experience with ETL, Data Modelling, and Data Architecture Proficient in ETL optimization, designing, coding, and tuning big data processes using Pyspark Extensive experience to build data platforms on AWS using core AWS services Step function, EMR, Lambda, Glue and Athena, Redshift, Postgres, RDS etc and design/develop data engineering solutions. Orchestrate using Airflow.

Technical Experience:

Hands-on experience on developing Data platform and its components Data Lake, cloud Datawarehouse, APIs, Batch and streaming data pipeline Experience with building data pipelines and applications to stream and process large datasets at low latencies.

➢ Enhancements, new development, defect resolution and production support of Big data ETL development using AWS native services.

➢ Create data pipeline architecture by designing and implementing data ingestion solutions.

➢ Integrate data sets using AWS services such as Glue, Lambda functions/ Airflow.

➢ Design and optimize data models on AWS Cloud using AWS data stores such as Redshift, RDS, S3, Athena.

➢ Author ETL processes using Python, Pyspark.

➢ Build Redshift Spectrum direct transformations and data modelling using data in S3.

➢ ETL process monitoring using CloudWatch events.

➢ You will be working in collaboration with other teams. Good communication must.

➢ Must have experience in using AWS services API, AWS CLI and SDK

Professional Attributes:

➢ Experience operating very large data warehouses or data lakes Expert-level skills in writing and optimizing SQL Extensive, real-world experience designing technology components for enterprise solutions and defining solution architectures and reference architectures with a focus on cloud technology.

➢ Must have 6+ years of big data ETL experience using Python, S3, Lambda, Dynamo DB, Athena, Glue in AWS environment.

➢ Expertise in S3, RDS, Redshift, Kinesis, EC2 clusters highly desired.

Qualification:

➢ Degree in Computer Science, Computer Engineering or equivalent.

Salary: Commensurate with experience and demonstrated competence