About the Role: The successful candidate will help research and maintain U.S. news and politics content on a comprehensive online forward planning calendar which also covers entertainment, lifestyle, business and UK events Main responsibilities include: Researching and adding content to the Onclusive planning websites Checking and editing items on a regular basis Responsibility for content in specific U.S. states and subject areas Processing incoming emails to confirm the accuracy of our content Telephone and web checking content Desirable qualities: Knowledge of U.S. current affairs and an active interest in U.S. news Good IT and typing skills and an ability to use the Internet and social media as effective research tools High level of literacy – familiarity with American English with strong grammar and spelling. Ability to accurately interpret and summarise press releases Good organisational skills and time management Attention to detail and accuracy Ability to prioritise large volumes of data effectively and work to strict daily and weekly deadlines Good telephone manner Flexibility and reliability Team ethic Work Schedule: Standard Work Week: 5 days a week, Monday to Friday. Rotational Saturdays: To ensure coverage for the US team, Saturdays will be a rotational working day for this team. Late Evening Shifts: Shifts will extend until 11:00 PM IST to overlap with US business hours. Holidays: Indian Holidays will not be off, instead we have different holiday policy for this team. What we can offer: We are a global fast growing company which offers a variety of opportunities for you to develop your skill set and career. In exchange for your contribution, we can offer you: Competitive salary and benefits Hybrid working in a team that is passionate about the work we deliver and supporting the development of those that we work with A company focus on wellbeing and work life balance including initiative’s such as flexible working and mental health support We want the best talent available, regardless of race, religion, gender, gender reassignment, sexual orientation, marital status, pregnancy, disability or age.

This role is working UK hours. About the Role: We are seeking a detail-oriented and data-savvy RevOps Analyst to support our Commercial Operations Manager across both Sales and Post-Sales activities. This role is ideal for someone with a deep understanding of revenue operations, who is comfortable working with tools like Salesforce, HubSpot, Excel, Gmail and data visualization platforms such as Tableau or Power BI. You will play a key role in improving operational efficiency, maintaining CRM data integrity, supporting reporting and dashboard creation, and enabling the Sales and Customer Success teams to perform at their best. Your Responsibilities 1. CRM Management & Data Hygiene Maintain and optimise Salesforce (or other CRM) to ensure accurate pipeline, forecasting, and reporting. Own CRM hygiene and governance – ensure consistent data entry, resolve duplicates, and support user adoption 2. Forecasting & Pipeline Support Partner with sales leadership to manage and refine the forecasting process across teams and geographies. Build and maintain dashboards and reports that track pipeline health, funnel metrics, and deal velocity 3. Process & Playbook Enablement Help define and document sales processes (lead routing, qualification criteria, deal stages, etc). Work with Sales Enablement to ensure reps are aligned to the correct processes and workflows. 4. Tool Stack Administration Manage integrations and licenses for key tools (e.g., Salesforce, Gong, Clari, Outreach, HubSpot). Evaluate new tools and implement tech stack improvements that increase GTM efficiency. 5. Commercial Analytics & Insights Provide regular insights on bookings, win rates, churn, conversion metrics, and sales productivity. Support board and executive reporting by consolidating data across regions and segments 6. Strategic Projects Support pricing changes, territory realignments, and comp plan updates with scenario modelling and impact analysis. Assist in cross-functional initiatives that impact revenue growth, from lead generation to expansion. Who you are: 2–4 years’ experience in a Revenue Operations, Sales Ops, or Business Operations role (SaaS experience preferred). Must have strong working knowledge of Salesforce and GTM tech tools (Excel/Google Sheets mastery is a must). Analytical mindset with the ability to turn data into clear, actionable insights. Highly organised, process-driven, and comfortable managing multiple projects. Collaborative communicator who can work cross-functionally with Sales, Marketing, Finance, and CS What we can offer: We are a global fast growing company which offers a variety of opportunities for you to develop your skill set and career. In exchange for your contribution, we can offer you: Competitive salary and benefits Hybrid working in a team that is passionate about the work we deliver and supporting the development of those that we work with A company focus on wellbeing and work life balance including initiative’s such as flexible working and mental health support

As a Machine Learning Operation Engineer at Onclusive, your primary focus will be on deploying, scaling, and optimizing backend algorithms, data ingestion pipelines, machine learning services, and data platforms. You will be working with vast amounts of text and analytics data to solve challenging marketing problems using your technical knowledge and Big Data analytics skills. Your role is crucial to the success of Onclusive. Your responsibilities will include designing and building scalable machine learning services and data platforms, utilizing benchmarks and metrics to measure and improve services, managing systems processing tens of millions of jobs per day, researching and implementing cutting-edge algorithms, and collaborating with data scientists and machine learning engineers to implement ML, AI, and NLP techniques for article analysis and attribution. You will also be responsible for deploying, managing, and optimizing inference services on autoscaling fleets with GPUs and specialized inference hardware. To excel in this role, you should have a degree in Computer Science or a related field, along with hands-on experience. A minimum of 2 years of experience in Kubernetes and/or Terraform is required. Proficiency in Python with a solid understanding of Object-Oriented Programming (OOP) principles is essential. You should also have knowledge of containerization (preferably Docker), Infrastructure as Code (IAC) for AWS (preferably Terraform), Version Control Systems (particularly Git and GitHub), and CI/CD practices (preferably GitHub Actions). An understanding of release management, ML principles, and Data Engineering experience (e.g., airflow, dbt, meltano) is highly desired. Exposure to deep learning tech-stacks like Torch/Tensorflow and Transformers will be beneficial. At Onclusive, we offer a competitive salary and benefits along with opportunities for skill development and career growth. We support a hybrid working environment and prioritize employee wellbeing and work-life balance with initiatives such as flexible working arrangements and mental health support. Join our passionate team dedicated to delivering exceptional work and supporting each other's development.,

About the Role: As a Machine Learning Operation Engineer at Onclusive, your primary responsibility will be to deploy, scale, and optimize backend algorithms, robust data ingestion pipelines, machine learning services, and data platforms to handle vast amounts of text and analytics data. You will leverage your technical expertise and Big Data analytics skills to address complex marketing challenges using Onclusive's extensive online content data. The role of an ML Ops Engineer is crucial to the success of Onclusive. Your responsibilities include designing and constructing scalable machine learning services and data platforms, utilizing benchmarks and metrics to enhance services, overseeing a system processing tens of millions of jobs daily, researching and implementing cutting-edge algorithms for data analysis, collaborating with data scientists and ML engineers on implementing ML, AI, and NLP techniques, and managing inference services on autoscaling fleets with GPUs and specialized hardware. Who you are: You hold a degree (BS, MS, or Ph.D.) in Computer Science or a related field, supported by practical experience. You should have a minimum of 2 years of experience with Kubernetes and/or Terraform, proficiency in Python with a solid grasp of Object-Oriented Programming principles, knowledge of containerization (preferably Docker), experience in Infrastructure as Code (IAC) for AWS (preferably Terraform), familiarity with Version Control Systems (particularly Git and GitHub) and CI/CD (preferably GitHub Actions), understanding of release management with a focus on testing and quality assurance, good grasp of ML principles, and desirable experience in Data Engineering tools like airflow, dbt, and meltano. Exposure to deep learning tech-stacks such as Torch, Tensorflow, and Transformers is a plus. What we can offer: Joining a rapidly growing global company, you will have the opportunity to enhance your skills and advance your career. In return for your contributions, we provide a competitive salary and benefits, a hybrid working environment within a team passionate about their work and supporting each other's development, and a company culture that prioritizes wellbeing and work-life balance through initiatives like flexible working arrangements and mental health support.,