Video Editor

💡 The Role

We’re hiring a Revenue Operations Specialist who will act as the backbone of our go-to-market engine.

This is a builder role — not a maintenance role. You’ll design systems, automate workflows, and implement AI-driven processes across Sales, BD, and Marketing.

🤖 What You’ll Do

• Build AI agents and automation workflows across the revenue stack

• Use tools like Zapier, Make, n8n, Clay, and LLM-based workflows

• Own CRM (HubSpot/Salesforce) including structure, hygiene, and reporting

• Build dashboards to track pipeline health and performance

• Manage integrations across CRM, enrichment, outreach, and analytics tools

• Design lead lifecycle processes from acquisition to conversion

• Ensure seamless coordination between Sales, BD, and Marketing

🧠 Who You Are

• 3–5 years in Revenue Ops / Sales Ops / GTM Ops

• Strong CRM experience (HubSpot or Salesforce)

• Hands-on or strong interest in AI workflows and automation

• Experience with tools like Zapier, Make, n8n, Clay, Apollo, Outreach

• Strong analytical and systems-thinking mindset

• Startup-ready: self-driven, fast, and comfortable with ambiguity

• Clear communicator who can document and simplify processes

✨ Nice to Have

• Experience with AI/LLM tools or APIs

• Background in B2B SaaS or startup environments

• Experience with lead scoring or enrichment tools

Requirements:

- Need strong expertise in Kubernetes and ELK

- experience in implementation/migration to Elastic on Kubernetes.

- Experience in working in large enterprise and working with various stakeholders in DataCenter, Network

Responsibilities

- Set up ECK Cluster, upgrade ECK operator

- Migrate existing projects (100+) from ELK to ECK

- Build automation in moving projects from ELK to ECK

- Perform regression testing and close any technical opens, TCM

- Define processes for new business landing

Good experience in the Extraction, Transformation, and Loading (ETL) of data from various sources into Data Warehouses and Data Marts using Informatica Power Center (Repository Manager,

Designer, Workflow Manager, Workflow Monitor, Metadata Manager), Power Connect as ETL tool on Oracle, and SQL Server Databases.

 Knowledge of Data Warehouse/Data mart, ODS, OLTP, and OLAP implementations teamed with

project scope, Analysis, requirements gathering, data modeling, ETL Design, development,

System testing, Implementation, and production support.

 Strong experience in Dimensional Modeling using Star and Snow Flake Schema, Identifying Facts

and Dimensions

 Used various transformations like Filter, Expression, Sequence Generator, Update Strategy,

Joiner, Stored Procedure, and Union to develop robust mappings in the Informatica Designer.

 Developed mapping parameters and variables to support SQL override.

 Created applets to use them in different mappings.

 Created sessions, configured workflows to extract data from various sources, transformed data,

and loading into the data warehouse.

 Used Type 1 SCD and Type 2 SCD mappings to update slowly Changing Dimension Tables.

 Modified existing mappings for enhancements of new business requirements.

 Involved in Performance tuning at source, target, mappings, sessions, and system levels.

 Prepared migration document to move the mappings from development to testing and then to

production repositories

 Extensive experience in developing Stored Procedures, Functions, Views and Triggers, Complex

SQL queries using PL/SQL.

 Experience in resolving on-going maintenance issues and bug fixes; monitoring Informatica

/Talend sessions as well as performance tuning of mappings and sessions.

 Experience in all phases of Data warehouse development from requirements gathering for the

data warehouse to develop the code, Unit Testing, and Documenting.

 Extensive experience in writing UNIX shell scripts and automation of the ETL processes using

UNIX shell scripting.

 Experience in using Automation Scheduling tools like Control-M.

 Hands-on experience across all stages of Software Development Life Cycle (SDLC) including

business requirement analysis, data mapping, build, unit testing, systems integration, and user

acceptance testing.

 Build, operate, monitor, and troubleshoot Hadoop infrastructure.

 Develop tools and libraries, and maintain processes for other engineers to access data and write

MapReduce programs.

Carsome’s Data Department is on the lookout for a Data Scientist/Senior Data Scientist who has a strong passion in building data powered products.

Data Science function under the Data Department has a responsibility for standardisation of methods, mentoring team of data science resources/interns, including code libraries and documentation, quality assurance of outputs, modeling techniques and statistics, leveraging a variety of technologies, open-source languages, and cloud computing platform. 

You will get to lead & implement projects such as price optimization/prediction, enabling iconic personalization experiences for our customer, inventory optimization etc.

Job Descriptions

• Identifying and integrating datasets that can be leveraged through our product and work closely with data engineering team to develop data products.
• Execute analytical experiments methodically to help solve various problems and make a true impact across functions such as operations, finance, logistics, marketing. 
• Identify, prioritize, and design testing opportunities that will inform algorithm enhancements. 
• Devise and utilize algorithms and models to mine big data stores, perform data and error analysis to improve models and clean and validate data for uniformity and accuracy.
• Unlock insights by analyzing large amounts of complex website traffic and transactional data. 
• Implement analytical models into production by collaborating with data analytics engineers.

Technical Requirements

• Expertise in model design, training, evaluation, and implementation ML Algorithm expertise K-nearest neighbors, Random Forests, Naive Bayes, Regression Models. PyTorch, TensorFlow, Keras, deep learning expertise, tSNE, gradient boosting expertise, regression implementation expertise, Python, Pyspark, SQL, R, AWS Sagemaker /personalize etc.
• Machine Learning / Data Science Certification

Experience & Education 

• Bachelor’s in Engineering / Master’s in Data Science  / Postgraduate Certificate in Data Science. 

Our sales team is looking for a bright, motivated and high-performing Sales manager to join us. As a Sales manager at Focaloid, you will be responsible for managing and closing opportunities within your assigned territory. The person must demonstrate all the behaviors associated with a high-performance sales culture, specifically prospecting for new business, consultative selling approach, account management skills, ability to upsell and cross-sell to existing clients and delivering results against a quota. 

The Sales Manager is a client facing role and the person will be involved in taking over from the inside sales team once a new opportunity has been identified. The person will work closely with the pre-sales team and tech team to drive it to closure. 

● Develop and manage relationships with prospects and accounts within your assigned territory 

● Work in a team-selling environment specifically building relationships with inside sales, pre-sales and technology teams. 

● Interact with key influencers for assessing requirements, proposing solutions, making presentations and creating proposals. 

● Track all opportunity and customer details including use cases, purchase time frames, next steps, and forecasting in CRM. 

● Share weekly plans of status of accounts and potential leads, new initiatives, follow up action plans and revenue pipeline. 

● All people management aspects of the team including individual performance management, team building, succession planning, cross-training 

● Contributes to team effort by accomplishing related results as needed. 

● Brainstorm with project and marketing team for maximizing client potential and to support and enhance visibility of company’s solutions 

● Setting the strategy in partnership with the business and technology partners. 

Candidate Profile: 

● Bachelor's Degree in Engineering OR Equivalent 

● 10+ years of experience selling outsourcing, offshoring and software development services 

● An excellent performer with consultative sales style, negotiation skills, exceptional problem solving abilities and keen client assessment aptitude. 

● A track record of performance excellence meeting and exceeding targets and objectives 

● Experience selling to Director/VP level leaders 

● Track record to selling to Startups, SMB & Enterprises in US and Europe 

● Strong command in Selling Solutions and managing multiple clients 

● Technically savvy; thorough understanding of technology space(product engineering, cloud, web & mobile) 

● Skilled in virtual presentations, online web demos, remote sales processes 

● Proficiency using CRM; (Base CRM, Pipedrive, Copper, Salesforce, etc.) 

● Exceptional verbal and written communication skills 

Requirements:

• 3+ years’ experience under your belt developing performance-critical applications that run in a production environment using Node.Js
• Expertise in Database modeling, preferably relational DB, spotting DB bottlenecks, and writing optimized DB queries.
• Expertise in common Cloud technologies, AWS/GCP Knowledge of CI/CD tools and workflows.
• Knowledge in one or more of the following: NoSQL (especially, but not only Redis), Queueing system experience (Kafka, RabbitMQ, ActiveMQ, MSMQ)
• Good stakeholder management skills, with an ability to build trust and rapport with internal and external stakeholders
• It is good to have knowledge of Kubernetes and Docker and related deployment technologies.
  
  

Roles & Responsibilities:

• Write well-designed, testable, efficient, and high-quality code.
• Design (LLD & HLD) and architect technical solutions for the business problems of a large-scale system.
• Prepare and produce releases of software components.
• Support continuous improvement by investigating alternatives and technologies.
• Contribute to all phases of the development lifecycle
• We believe leadership comes through ownership and so we love people who take ownership of their work and lead by example