Sr. Sales Manager

About MyOperator

MyOperator is a Business AI Operator, a category-leader that unifies WhatsApp, Calls, and AI-powered chat & voice bots into one intelligent business communication platform. Unlike fragmented communication tools, MyOperator combines automation, intelligence, and workflow integration to help businesses run WhatsApp campaigns, manage calls, deploy AI chatbots, and track performance — all from a single, no-code platform. Trusted by 12,000+ brands including Amazon, Domino's, Apollo, and Razorpay, MyOperator enables faster responses, higher resolution rates, and scalable customer engagement — without fragmented tools or increased headcount.

About the Role: 

Lead & Scale a High-Growth Inbound SaaS Sales Team We are looking for a hands-on Sales Team Leader – Inbound SaaS to own revenue outcomes and lead a team of inbound Business Consultants. This role is ideal for someone who has closed inbound SaaS deals, handled monthly revenue targets, and is ready to build, coach, and scale a high-performing sales team. You will work with high-intent inbound leads, sell a category-leading SaaS product, and play a critical role in driving MyOperator’s revenue growth.

What You’ll Own

• Lead, mentor, and manage a team of inbound Business Consultants to achieve monthly MRR targets
• Drive daily execution through stand-ups, pipeline reviews, and deal strategy discussions
• Own conversion metrics across calls, demos, closures, and revenue
• Ensure strong CRM hygiene, process adherence, and forecast accuracy

Revenue & Process Ownership

• Deliver consistent achievement of revenue and closure targets
• Ensure fast, high-quality follow-ups across all inbound leads
• Support negotiations, deal closures, and retention of key customers.

Training & Team Development

• Identify performance gaps and partner with L&D to strengthen sales capability
• Conduct regular role-plays, feedback sessions, and coaching conversations
• Build a strong, motivated, and accountable sales culture

Qualifications

Who Should Apply (tightened & clearer)

• 4–6 years of experience in B2B Inside Sales / SaaS Sales
• Minimum 2 years of team-handling experience with revenue ownership
• Proven success in inbound sales environments with monthly targets
• Strong experience using CRM tools (Zoho preferred)
• High ownership mindset, data-driven approach, and strong communication skills
• Experience in SaaS / cloud telephony / communication technology is a plus

Why Join MyOperator

• Work in a high-growth SaaS environment with strong inbound demand
• Clear ownership of revenue and team performance
• Fixed salary + performance-driven incentives with real upside
• Opportunity to sell and scale impactful AI-powered SaaS solutions

Job Summary:

We are seeking a skilled and experienced Java Developer with hands-on expertise in AWS, Spring Boot, and Microservices architecture. As a core member of our backend development team, you will design and build scalable cloud-native applications that support high-performance systems and business logic.

Key Responsibilities:

• Design, develop, and maintain backend services using Java (Spring Boot).
• Build and deploy microservices-based architectures hosted on AWS.
• Collaborate with DevOps and architecture teams to ensure scalable and secure cloud solutions.
• Write clean, efficient, and well-documented code.
• Optimize application performance and troubleshoot production issues.
• Participate in code reviews, technical discussions, and architecture planning.

Must-Have Skills:

• 4.5+ years of experience in Java development.
• Strong proficiency in Spring Boot and RESTful APIs.
• Proven hands-on experience with AWS services (EC2, S3, Lambda, RDS, etc.).
• Solid understanding of microservices architecture, CI/CD, and containerization tools.
• Experience with version control (Git), and deployment tools.

Job Description: 

Please find below details:

Experience - 5+ Years

Location- Bangalore/Python

Role Overview

We are seeking a skilled Python Data Engineer with expertise in designing and implementing data solutions using the AWS cloud platform. The ideal candidate will be responsible for building and maintaining scalable, efficient, and secure data pipelines while leveraging Python and AWS services to enable robust data analytics and decision-making processes.

Key Responsibilities

• Design, develop, and optimize data pipelines using Python and AWS services such as Glue, Lambda, S3, EMR, Redshift, Athena, and Kinesis.
• Implement ETL/ELT processes to extract, transform, and load data from various sources into centralized repositories (e.g., data lakes or data warehouses).
• Collaborate with cross-functional teams to understand business requirements and translate them into scalable data solutions.
• Monitor, troubleshoot, and enhance data workflows for performance and cost optimization.
• Ensure data quality and consistency by implementing validation and governance practices.
• Work on data security best practices in compliance with organizational policies and regulations.
• Automate repetitive data engineering tasks using Python scripts and frameworks.
• Leverage CI/CD pipelines for deployment of data workflows on AWS.

Required Skills and Qualifications

• Professional Experience: 5+ years of experience in data engineering or a related field.
• Programming: Strong proficiency in Python, with experience in libraries like pandas, pySpark, or boto3.
• AWS Expertise: Hands-on experience with core AWS services for data engineering, such as:
• AWS Glue for ETL/ELT.
• S3 for storage.
• Redshift or Athena for data warehousing and querying.
• Lambda for serverless compute.
• Kinesis or SNS/SQS for data streaming.
• IAM Roles for security.
• Databases: Proficiency in SQL and experience with relational (e.g., PostgreSQL, MySQL) and NoSQL (e.g., DynamoDB) databases.
• Data Processing: Knowledge of big data frameworks (e.g., Hadoop, Spark) is a plus.
• DevOps: Familiarity with CI/CD pipelines and tools like Jenkins, Git, and CodePipeline.
• Version Control: Proficient with Git-based workflows.
• Problem Solving: Excellent analytical and debugging skills.

Optional Skills

• Knowledge of data modeling and data warehouse design principles.
• Experience with data visualization tools (e.g., Tableau, Power BI).
• Familiarity with containerization (e.g., Docker) and orchestration (e.g., Kubernetes).
• Exposure to other programming languages like Scala or Java.

Years of Experience:2-5 Years
Notice: Immediate to 30 Days

Requirements:

• 3+ years of web development experience using Node.js or similar web technologies

• Well-versed with front-end code in HTML5, CSS3, Javascript, React.js with familiarity in various frameworks and template languages

• Possess strong understanding of Object-Oriented Programming.

• Proficient with database design, optimization and tuning in MySQL or MongoDB

• Experience in design patterns, unit testing, automation techniques (Selenium WebDriver)

• Exposure to Amazon Web Services (EC2, S3, EBS, RDS, SQS, Redshift, etc.)

• Exposure to Docker and Kubernetes

• Exposure to collaborating tools like GitHub, JIRA, Confluence

• Experience in frameworks such as Symfony 2, Express.js, or proven ability to learn on the job

• Experience in Microservices and REST architecture

• Exposure to Scrum methodology and XP technical practices such as unit testing, pair programming, test-driven development, continuous integration or continuous delivery

• Self-motivated, fast learner, detail-oriented, team player and a sense of humor.
  
  

   

Hello,

Key Responsibilities –

• Designing, maintaining and updating a suite of financial models for business valuation and strategic decision-making (for buy-side equity clients and SAAS companies)
• Involves conceptualizing framework, designing models and updating already developed models on monthly, quarterly, and need-based frequency
• Manage client engagements on a fully independent basis including one-to-one client communication and manage his/her work independently with end-to-end ownership of client
• Conducting financial and business analyses on various companies and preparing presentation decks and writeups for financing activities
• Preparing custom financial dashboards and screeners based on appropriate financial and operating metrics
• If required, manage 1-2 junior team members and train them on building domain/sector expertise
• Contribute/work on important pilot projects
• Create IPs/white papers/blogs/articles/teasers which can be used for marketing purposes

• Experience in financial modeling and end-to-end management of projects and communication with clients
• Excellent grasp of financial concepts and their application across all areas of financial analysis and valuation
• Proficiency in Excel-based analysis
• Aptitude for problem-solving and troubleshooting
• Ability to synthesize qualitative and quantitative data quickly and draw meaningful insights
• High consciousness towards attention to detail; drive and commitment towards delivering high-quality Service

Position Title – Sr. Research Analyst
Location – Noida

Education – MBA finance / CFA level II or III / CA

About Us: 

Small businesses are the backbone of the US economy, comprising almost half of the GDP and the private workforce. Yet, big banks don’t provide the access, assistance and modern tools that owners need to successfully grow their business. 

We started Novo to challenge the status quo—we’re on a mission to increase the GDP of the modern entrepreneur by creating the go-to banking platform for small businesses (SMBs). Novo is flipping the script of the banking world, and we’re excited to lead the small business banking revolution.

At Novo, we’re here to help entrepreneurs, freelancers, startups and SMBs achieve their financial goals by empowering them with an operating system that makes business banking as easy as iOS. We developed modern bank accounts and tools to help to save time and increase cash flow. Our unique product integrations enable easy access to tracking payments, transferring money internationally, managing business transactions and more. We’ve made a big impact in a short amount of time, helping thousands of organizations access powerfully simple business banking.  

We are looking for a Senior Data Scientist who is enthusiastic about using data and technology to solve complex business problems. If you're passionate about leading and helping to architect and develop thoughtful data solutions, then we want to chat. Are you ready to revolutionize the small business banking industry with us?

About the Role: (specific to the role-- describe the role activities/duties, who they interact with, what they are accountable for, how the role operates in the team, department and organization)

• Build and manage predictive models focussed on credit risk, fraud, conversions, churn, consumer behaviour etc
• Provides best practices, direction for data analytics and business decision making across multiple projects and functional areas
• Implements performance optimizations and best practices for scalable data models, pipelines and modelling
• Resolve blockers and help the team stay productive
• Take part in building the team and iterating on hiring processes

Requirements for the Role: (these are specific to the role-- technical skills and requirements to fulfill the job duties, certifications, years of experience, degree)

• 4+ years of experience in data science roles focussed on managing data processes, modelling and dashboarding
• Strong experience in python, SQL and in-depth understanding of modelling techniques
• Experience working with Pandas, scikit learn, visualization libraries like plotly, bokeh etc.
• Prior experience with credit risk modelling will be preferred
• Deep Knowledge of Python to write scripts to manipulate data and generate automated  reports

How We Define Success: (these are specific to the role-- should be tied to performance management, OKRs or general goals)

• Expand access to data driven decision making across the organization
• Solve problems in risk, marketing, growth, customer behaviour through analytics models that increase efficacy

Nice To Have, but Not Required:

• Experience in dashboarding libraries like Python Dash and exposure to CI/CD 
• Exposure to big data tools like Spark, and some core tech knowledge around API’s, data streaming etc.

Novo values diversity as a core tenant of the work we do and the businesses we serve. We are an equal opportunity employer, indiscriminate of race, religion, ethnicity, national origin, citizenship, gender, gender identity, sexual orientation, age, veteran status, disability, genetic information or any other protected characteristic. 

Hiring for GCP compliant cloud data lake solutions for clinical trials for US based pharmaceutical company.

Summary

This is a key position within Data Sciences and Systems organization responsible for data systems and related technologies. The role will part of Amazon Web service (AWS) Data Lake strategy, roadmap, and AWS architecture for data systems and technologies.

Essential/Primary Duties, Functions and Responsibilities

The essential duties and responsibilities of this position are as follows:

• Collaborate with data science and systems leaders and other stakeholders to roadmap, structure, prioritize and execute on AWS data engineering requirements.
• Works closely with the IT organization and other functions to make sure that business needs and requirements, IT processes, and regulatory compliance requirements are met.
• Build the AWS infrastructure required for optimal extraction, transformation, and loading of data from a vendor site clinical data sources using AWS big data technologies
• Create and maintain optimal AWS data pipeline architecture
• Assemble large, complex data sets that meet functional / non-functional business requirements
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics
• Work with stakeholders to assist with data-related technical issues and support their data infrastructure needs
• Create data tools for analytics and data scientist team members that assist them in building and optimizing our product
• Work with data and analytics experts to strive for greater functionality in our data systems

Requirements

• A minimum of a bachelors degree in a Computer Science, Mathematics, Statistics or related discipline is required. A Master's degree is preferred. A minimum of 6-8 years technical management experience is required. Equivalent experience may be accepted.
• Experience with data lake and/or data warehouse implementation is required
• Minimum Bachelors Degree in Computer Science, Computer Engineering, Mathematical Engineering, Information Systems or related fields
• Project experience with visualization tools (AWS, Tableau, R Studio, PowerBI, R shiny, D3js) and databases. Experience with python, R or SAS coding is a big plus.
• Experience with AWS based S3, Lambda, Step functions.
• Strong team player and you can work effectively in a collaborative, fast-paced, multi-tasking environment
• Solid analytical and technical skill and the ability to exchange innovative ideas
• Quick learner and passionate about continuously developing your skills and knowledge
• Ability to solve problems by using AWS in data acquisitions
• Ability to work in an interdisciplinary environment. You are able to interpret and translate very abstract and technical approaches into a healthcare and business-relevant solution

Job Description :

- Should have handson experience of more than 1+ years

- Good knowledge of NodeJS, ExpressJS or Restify

- Should have good knowledge of JavaScript.

- Experience implementing frontend using Angular 2+.

- Any database knowledge (SQL.Mongo or NoSQL)

- Basic understanding of version control using GIT

- TypeScript knowledge would be a plus

- Should have good logical skills.