Graphic Designer

About Master-O

Master-O is a next-generation sales enablement and microskill learning platform that empowers frontline teams through gamification, AI-driven coaching, and continuous performance reinforcement.

Our platform is trusted by leading enterprises in financial services, retail, pharma, consumer goods, telecom, automobile, BFSI, construction and others to drive measurable business outcomes across sales readiness, productivity, and execution excellence.

We are looking for someone who can own strategic accounts, drive adoption, and unlock growth opportunities.

Role Overview

The CS Associate will play a critical role in ensuring long-term customer value, retention, and expansion for Master-O’s enterprise clients.

You will act as a trusted advisor to senior stakeholders, ensuring customers achieve measurable ROI while identifying opportunities to grow the account footprint.

Key Responsibilities

Customer Success & Key Account Management

• Own end-to-end customer success for enterprise corporate accounts, primarily in the domestic market
• Drive onboarding, adoption, engagement, and value realization of the Master-O platform
• Build strong relationships with CXOs, Sales Heads, L&D leaders, and other stakeholders
• Act as the point of contact with the customer, ensuring feedback is looped back into product and solution improvements
• Track success metrics such as usage, renewals, and expansions

Stakeholder & Internal Collaboration

• Work closely with Product & Design, Tech and CS teams to ensure seamless execution
• Translate client business objectives into platform use cases and success roadmaps
• Support case studies, testimonials, and references from satisfied customers

Required Skills & Experience

• 2+ years of full-time experience in Customer Success / Key Account
• Prior experience in B2B SaaS companies, handling enterprise-level clients
• Proven experience working with domestic customers and managing stakeholders across regions
• Strong understanding of SaaS metrics, renewals, expansions, and customer lifecycle management
• Experience in fast-paced startup environments preferred
• Excellent communication, presentation, and stakeholder management skills
• Strong business acumen with the ability to connect product value to business outcomes

What You’ll Get

• Opportunity to work with both: Pan-India and Global enterprise brands
• High ownership role with direct impact on customer outcomes and revenue growth
• Exposure to cutting-edge AI-driven learning and sales enablement technology
• Fast-paced environment with room to grow into a leadership role
• Competitive compensation aligned with experience

We're a performance ad agency hiring a Meta (Facebook/Instagram) media buyer to own client accounts end-to-end in competitive, restricted direct-response verticals.

What you'll do:

• Launch, optimize, and scale Meta campaigns across client accounts
• Own the numbers — CPL, CPA, ROAS, and profitable scaling
• Manage tracking (Pixel/CAPI), creative testing, and daily monitoring
• Communicate directly with clients

You're a fit if you:

• Have run Meta direct-response campaigns independently for 2+ years
• Think in CPA/ROAS and can scale profitably, not just launch
• Are comfortable in competitive, policy-sensitive niches
• Use AI/automation in your workflow, and work without hand-holding

We provide the full stack — accounts, tracking, budgets, creatives, and a content team — so you focus purely on buying and scaling. Remote, full-time.

To apply, answer this: walk us through one campaign you scaled — the starting CPA, the 2–3 changes you made, and the ending number.

We are seeking a talented and passionate Data Scientist to join our dynamic team. The ideal candidate will leverage their expertise in statistical analysis, machine learning, and data visualization to extract actionable insights from complex datasets. You will play a key role in developing and deploying predictive models, contributing to strategic business decisions, and driving innovation through data.

Responsibilities:

• Data Analysis and Exploration:
• Collect, clean, and preprocess large datasets from various sources.
• Conduct exploratory data analysis to identify patterns, trends, and anomalies.
• Visualize data using appropriate tools and techniques to communicate findings effectively.
• Machine Learning and Modeling:
• Develop and implement machine learning models for predictive analytics, classification, regression, and clustering.
• Evaluate model performance and optimize algorithms for accuracy and efficiency.
• Stay up-to-date with the latest advancements in machine learning and artificial intelligence.
• Statistical Analysis:
• Perform statistical hypothesis testing and A/B testing to validate findings.
• Apply statistical methods to analyze data and draw meaningful conclusions.
• Develop statistical models to forecast future trends and outcomes.
• Data Visualization and Reporting:
• Create compelling visualizations and dashboards to present data insights to stakeholders.
• Prepare clear and concise reports summarizing findings and recommendations.
• Effectively communicate complex data concepts to non-technical audiences.
• Collaboration and Communication:
• Collaborate with cross-functional teams, including engineers, product managers, and business analysts.
• Present findings and recommendations to stakeholders at all levels of the organization.
• Contribute to the development of data-driven strategies and initiatives.

• 2+ year of experience in Development in JAVA technology.
• Strong Java Basics
• SpringBoot or Spring MVC
• Hands on experience on Relationl Databases (SQL query or Hibernate) + Mongo (JSON parsing)
• Proficient in REST API development
• Messaging Queue (RabitMQ or Kafka)
• Microservices
• Any Caching Mechanism
• Good at problem solving

Good to Have Skills:

• 4+ years of experience in using Java/J2EE tech stacks
• Good understanding of data structures and algorithms.
• Excellent analytical and problem solving skills.
• Ability to work in a fast paced internet start-up environment.
• Experience in technical mentorship/coaching is highly desirable.
• Understanding of AI/ML algorithms is a plus.