
JOB DETAILS:
* Job Title: Regional Sales Manager (USA)
* Industry: SAAS Industry
* Salary: Best in Industry
* Experience: 5 -10 years
* Location: USA
* Work Mode: WFH
* Working Day: 5
Required Skills: Data Analysis, Analytical thinking, Proficiency in CRM tools, Cross functional collaboration, Problem Solving & Decision Making
Criteria:
Need Native USA candidates ONLY.
Candidate must be from a B2B SaaS / Hospitality Tech (Hotel Tech) background.
Candidate must have 5–10 years of relevant sales experience in SaaS or hospitality technology.
Candidate must have strong team management experience, handling BDMs and Telesales teams.
Candidate must have proven ownership of regional revenue targets, pipeline management, and MRR growth.
Candidate must have strong knowledge of the USA hospitality market and enterprise hotel sales.
Candidate should be proficient in English (mandatory).
Candidate should be open to frequent travel across regions.
Candidate must be good with numbers, including revenue analysis, forecasting, pipeline metrics, and target tracking
Candidate must have hands-on experience with CRM tools; HubSpot experience is strongly preferred.
Description
About the Role:-
We are seeking a high-performing Regional Sales Manager (RSM) to lead and scale our sales operations in USA.
This role is responsible for driving revenue growth, expanding market presence, managing sales teams, and ensuring customer success within the hospitality sector.
Key Responsibilities:-
1. Sales Leadership & Team Management
- Lead and manage BDMs and Telesales teams
- Ensure achievement of 100%+ monthly and quarterly targets
- Conduct weekly coaching, reviews, and performance tracking
- Oversee hiring, onboarding, and training
- Ensure 100% CRM (HubSpot) compliance
2. Revenue & Target Achievement
- Deliver regional targets across new properties, licenses, and LTV
- Drive growth in ARPA and MRR
- Maintain a 3× healthy sales pipeline
3. Customer Retention & Account Growth
- Minimize churn and maximize customer satisfaction
- Build strong relationships with hotel owners, GMs, and key decision-makers
- Collaborate with Implementation & Support teams for seamless onboarding
4. Market Expansion & Enterprise Sales
- Expand YCS presence across key regions in USA.
- Close enterprise and multi-property hotel group deals (5+ properties)
- Build partnerships with hotel associations and tourism bodies
- Lead events, webinars, and roadshows
5. Internal Collaboration & Operations
- Provide accurate weekly and monthly sales forecasts
- Share market insights with Product, Marketing, and Support teams
- Ensure timely reporting and compliance with internal processes.
Key Competencies:-
- Sales Leadership & Team Management – Ability to lead, coach, and drive a high-performing sales team to exceed targets.
- Strategic Pipeline & Revenue Execution-– Strong skills in pipeline management, forecasting, and delivering consistent revenue growth.
- SaaS & Hospitality Market Expertise - Deep understanding of SaaS sales and the USA a hospitality ecosystem.
- Enterprise Sales & Negotiation – Proven capability to close multi-property deals and handle complex negotiations
- Customer Retention & Relationship Management– Strong focus on reducing churn and building long-term partnerships with key decision-makers.
Key Requirements:-
- 5–10 years of experience in SaaS, B2B, or Hospitality Tech sales
- Proven experience in managing sales teams and exceeding targets
- Strong understanding of the USA hospitality market
- Excellent communication and negotiation skills
- Hands-on experience with CRM tools (HubSpot preferred)
- Willingness to travel across regions as required

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Experience in AWS Glue
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Experience in Apache Parquet
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Proficient in AWS S3 and data lake
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Knowledge of Snowflake
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Understanding of file-based ingestion best practices.
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Scripting language - Python & pyspark
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Develop an infrastructure to collect, transform, combine and publish/distribute customer data.
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Define process improvement opportunities to optimize data collection, insights and displays.
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Identify and interpret trends and patterns from complex data sets
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QUALIFICATIONS
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5-7+ years’ experience as data engineer in consumer finance or equivalent industry (consumer loans, collections, servicing, optional product, and insurance sales)
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Strong background in math, statistics, computer science, data science or related discipline
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Advanced knowledge one of language: Java, Scala, Python, C#
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Production experience with: HDFS, YARN, Hive, Spark, Kafka, Oozie / Airflow, Amazon Web Services (AWS), Docker / Kubernetes, Snowflake
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Proficient with
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Data mining/programming tools (e.g. SAS, SQL, R, Python)
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Database technologies (e.g. PostgreSQL, Redshift, Snowflake. and Greenplum)
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Data visualization (e.g. Tableau, Looker, MicroStrategy)
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Comfortable learning about and deploying new technologies and tools.
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Organizational skills and the ability to handle multiple projects and priorities simultaneously and meet established deadlines.
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Good written and oral communication skills and ability to present results to non-technical audiences
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Knowledge of business intelligence and analytical tools, technologies and techniques.
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AWS certification
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Spark Streaming
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Kafka Streaming / Kafka Connect
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ELK Stack
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Cassandra / MongoDB
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CI/CD: Jenkins, GitLab, Jira, Confluence other related tools
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