Sr Software Implementation Manager (B2B SaaS)

PHP Developer Responsibilities:

• Conducting analysis of website and application requirements.
• Writing back-end code and building efficient PHP modules.
• Developing back-end portals with an optimized database.
• Troubleshooting application and code issues.
• Integrating data storage solutions.
• Responding to integration requests from front-end developers.
• Finalizing back-end features and testing web applications.
• Updating and altering application features to enhance performance.

PHP Developer Requirements:

• Bachelor’s degree in computer science or a similar field.
• Knowledge of PHP web frameworks including Laravel, MySQL, API Development, OAuth, JWT, Git.
• Understanding of object-oriented PHP programming.
• Previous experience creating scalable applications.
• Proficient with code versioning tools including Git.
• Familiarity with MySQL databases.
• Ability to project manage.
• Good problem-solving skills.

Job Location: Sewri, Mumbai (Hybrid) 

JOB DETAILS:

- Job Title: Director of Sales

- Industry: SAAS

- Experience: 8-10 years

- Working Days: 5 days/week

- Job Location: Bengaluru

- CTC Range: Best in Industry

Required Skills: SaaS (Software as a Service) Sales, Excellent Communication & Stakeholder Management, B2B SaaS products Experience, Enterprise Sales experience, Enterprise Revenue Leadership, GTM Strategy & Sales Enablement

Criteria:

* The candidate must have at least 5+ years of experience in B2B SaaS or enterprise technology sales from overall experience.

* US enterprise sales experience is preferred, with strong exposure to US enterprise sales cycles.

* The candidate must have deep experience in enterprise sales, handling large, complex, multi-stakeholder deals.

* The candidate must have driven $5M+ in annual enterprise revenue (preferably $10M+).

* The candidate must have 2+ years of people leadership experience.

* The candidate must have managed a sales team of 10+ members, including AEs and SDRs.

* The candidate must have hands-on experience building, executing, and scaling sales strategies.

* The candidate must have experience managing both inbound and outbound sales motions.

* Background in cybersecurity, deep tech, or complex technical products is preferred.

* Experience with VAR, multi-product, or consultative enterprise sales is a plus.

* The candidate must be comfortable leading revenue across global regions, with the US as the primary focus.

* The candidate must be based in Bangalore or willing to relocate.

Description  

What You Will Own

Revenue G Pipeline

• Own global enterprise revenue, with primary focus on the US
• Build and maintain a predictable pipeline across inbound and outbound motions
• Drive forecasting accuracy, deal reviews, and revenue governance
• Improve win rates, strengthen qualification frameworks, and optimize sales velocity

Team Leadership G Coaching

• Lead, mentor, and develop a high-performing sales team (pods, SDRs, AEs)
• Build a culture of accountability, high performance, and continuous learning
• Coach   the team  on enterprise selling, negotiation, and multi-stakeholder engagement.
• Set and enforce clear KPIs, performance standards, and operating rhythms

GTM, Sales Enablement G Cross-Functional Strategy

• Partner with Marketing to align top-of-funnel quality, campaigns, and messaging
• Work with Product & Engineering to channel customer insights into roadmap decisions
• Build and refine sales playbooks, messaging guides, qualification models (MEDDIC/BANT), competitive frameworks, and objection handling
• Strengthen sales enablement - onboarding, continuous training, competitive intelligence, content readiness, and deal support
• Collaborate with RevOps on CRM hygiene, reporting accuracy, forecasting discipline, and tooling
• Ensure seamless alignment across Sales, CS, Product, and Marketing

Operational Excellence

• Implement best-in-class sales processes and governance
• Improve sales efficiency across the funnel through data, insights, and process optimization
• Introduce mechanisms to increase accountability, speed of execution, and deal quality
• Establish a predictable, repeatable, and scalable sales engine

What We're Looking For

Experience G Leadership

• 8 - 10 years in B2B SaaS or enterprise tech sales
• Minimum 2 - 3 years leading and scaling sales teams
• Demonstrated ability to drive $5M annual enterprise revenue (preferably $10M)
• Experience managing both inbound and outbound sales motions
• Preferred exposure to US enterprise sales cycles

Industry G Deal Expertise

• Deep experience in enterprise sales - mandatory
• Background in cybersecurity, deep tech, or complex technical products is preferred
• Experience with VAR, multi-product, or consultative enterprise sales is a plus

Geography G Market Exposure

• Must be based in Bangalore (or willing to relocate)
• Comfortable leading revenue across global regions, with US as primary focus

Who You Are

• A strategic operator with strong bias for execution
• Exceptional coach and people leader
• Data-driven, structured, and strong on process
• Skilled communicator with executive presence
• Thrives in high-growth, high-accountability environments
• Comfortable influencing cross-functionally and navigating enterprise complexity

Required Skills & Qualifications :-

● 5+ years of experience in B2B sales, with at least 3 years in a leadership or senior management role.

● Proven ability to close large, complex deals and achieve ambitious sales targets.

● Strong leadership, communication, and strategic thinking skills.

● In-depth knowledge of supply chain, warehousing, or logistics sectors.

● Bachelor's degree in Business, Sales, or a related field. MBA preferred.

Snowflake Data Engineer

Job Description:

·        Overall Experience : 5+ years of experience in Snowflake and Python.

·        Experience of 5+ years in data preparation. BI projects to understand business requirements in BI context and understand data model to transform raw data into meaningful data using snowflake and Python.

·        Designing and creating data models that define the structure and relationships of various data elements within the organization. This includes conceptual, logical, and physical data models, which help ensure data accuracy, consistency, and integrity.

·        Designing data integration solutions that allow different systems and applications to share and exchange data seamlessly. This may involve selecting appropriate integration technologies, developing ETL (Extract, Transform, Load) processes, and ensuring data quality during the integration process.

·        Create and maintain optimal data pipeline architecture.

·        Good knowledge of cloud platforms like AWS/Azure/GCP

·        Good hands-on knowledge of Snowflake is a must. Experience with various data ingestion methods (Snow pipe & others), time travel and data sharing and other Snowflake capabilities

·        Good knowledge of Python/Py Spark, advanced features of Python

·        Support business development efforts (proposals and client presentations).

·        Ability to thrive in a fast-paced, dynamic, client-facing role where delivering solid work products to exceed high expectations is a measure of success.

·        Excellent leadership and interpersonal skills.

·        Eager to contribute to a team-oriented environment.

·        Strong prioritization and multi-tasking skills with a track record of meeting deadlines.

·        Ability to be creative and analytical in a problem-solving environment.

·        Effective verbal and written communication skills.

·        Adaptable to new environments, people, technologies, and processes

·        Ability to manage ambiguity and solve undefined problems.

1.   Preparing and implementing project plans.

2.   Structural analysis & Design,engineering drawings.

3.   Ability to work on deadlines and within budgets

4.   Preparing monthly and daily reports detailing progress on engineering procurement.

5.   Quality Assurance and Quality control.

6.   Problem-solving skills

7.   Excellent verbal and written communication skills

8.   Negotiating, supervisory and leadership skills

9.   Complete knowledge of relevant legislation.

10. liaising with Architect, electrician, plumber, and painter and subcontractors

11. Analyze the results of tests on building materials, such as concrete, wood, asphalt, or steel, for use in particular projects

12. Highly flexible with the ability to work independently or within a team environment

13. Preparing a Reconciliation statement based on Quality of materials received, Quality of materials use and calculate the materials wastage.

14. Excellent knowledge of design and visualizations software such as AutoCAD, Civil 3D or similar.

15. Proficiency in site layout, grading, utility design, erosion control, pipelines, water and sewage systems and waste disposal units

16. Over seeing periodical repairs/ renovations, maintenance works in the existing branches and group companies.

17.  Experience in store purchase of Raw materials.

18. Worked with subordinates of Plastering, Brick work, Shuttering, Execution, Blog building,

Concreting, Leveling, waterproofing, Labor control and Interior work

19. Willingness to travel and work in different locations when required.

Job Description: 

An Azure Data Engineer is responsible for designing, implementing, and maintaining pipelines and ETL/ ELT flow solutions on the Azure cloud platform. This role requires a strong understanding of migration database technologies and the ability to deploy and manage database solutions in the Azure cloud environment.

Key Skills:

·      Min. 3+ years of Experience with data modeling, data warehousing, and building ETL pipelines.

·      Must have a firm knowledge of SQL, NoSQL, SSIS SSRS, and ETL/ELT Concepts.

·      Should have hands-on experience in Databricks, ADF (Azure Data Factory), ADLS, Cosmos DB.

·      Excel in the design, creation, and management of very large datasets

·      Detailed knowledge of cloud-based data warehouses, architecture, infrastructure components, ETL, and reporting analytics tools and environments.

·      Skilled with writing, tuning, and troubleshooting SQL queries

·      Experience with Big Data technologies such as Data storage, Data mining, Data analytics, and Data visualization.

·      Should be familiar with programming and should be able to write and debug the code in any of the programming languages like Node, Python, C#, .Net, Java.

Technical Expertise and Familiarity:

• Cloud Technologies: Azure (ADF, ADB, Logic Apps, Azure SQL database, Azure Key Vaults, ADLS, Synapse)
• Database: CosmosDB, Document DB  
• IDEs: Visual Studio, VS Code, MS SQL Server
• Data Modelling,ELT, ETL Methodology

Role : Senior Customer Scientist 

Experience : 6-8 Years 

Location : Chennai (Hybrid) 
 
 

Who are we? 
 
 

A young, fast-growing AI and big data company, with an ambitious vision to simplify the world’s choices. Our clients are top-tier enterprises in the banking, e-commerce and travel spaces. They use our core AI-based choice engine http://maya.ai/">maya.ai, to deliver personal digital experiences centered around taste. The http://maya.ai/">maya.ai platform now touches over 125M customers globally. You’ll find Crayon Boxes in Chennai and Singapore. But you’ll find Crayons in every corner of the world. Especially where our client projects are – UAE, India, SE Asia and pretty soon the US. 
 
 

Life in the Crayon Box is a little chaotic, largely dynamic and keeps us on our toes! Crayons are a diverse and passionate bunch. Challenges excite us. Our mission drives us. And good food, caffeine (for the most part) and youthful energy fuel us. Over the last year alone, Crayon has seen a growth rate of 3x, and we believe this is just the start. 
 

 
We’re looking for young and young-at-heart professionals with a relentless drive to help Crayon double its growth. Leaders, doers, innovators, dreamers, implementers and eccentric visionaries, we have a place for you all. 
 

Can you say “Yes, I have!” to the below? 
 
 

1. Experience with exploratory analysis, statistical analysis, and model development 
    

1. Knowledge of advanced analytics techniques, including Predictive Modelling (Logistic regression), segmentation, forecasting, data mining, and optimizations 
    

1. Knowledge of software packages such as SAS, R, Rapidminer for analytical modelling and data management. 
    

1. Strong experience in SQL/ Python/R working efficiently at scale with large data sets 
    

1. Experience in using Business Intelligence tools such as PowerBI, Tableau, Metabase for business applications 
    

Can you say “Yes, I will!” to the below? 
 
 

1. Drive clarity and solve ambiguous, challenging business problems using data-driven approaches. Propose and own data analysis (including modelling, coding, analytics) to drive business insight and facilitate decisions. 
    

1. Develop creative solutions and build prototypes to business problems using algorithms based on machine learning, statistics, and optimisation, and work with engineering to deploy those algorithms and create impact in production. 
    

1. Perform time-series analyses, hypothesis testing, and causal analyses to statistically assess the relative impact and extract trends 
    

1. Coordinate individual teams to fulfil client requirements and manage deliverable 
    

1. Communicate and present complex concepts to business audiences 
    

1. Travel to client locations when necessary  

Crayon is an equal opportunity employer. Employment is based on a person's merit and qualifications and professional competences. Crayon does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, marital status, pregnancy or related.  
 
 

More about Crayon: https://www.crayondata.com/">https://www.crayondata.com/  
 

More about http://maya.ai/">maya.ai: https://maya.ai/">https://maya.ai/