HR Business Partner & Payroll

🚀 WE’RE HIRING — SOCIAL MEDIA MANAGER

Build brands. Drive conversations. Own the digital presence.

At Vue Studios, we work with ambitious brands across fashion, lifestyle, D2C and emerging businesses, helping them build meaningful digital ecosystems.

We’re looking for a Social Media Manager who can take complete ownership of brands — from strategy and ideation to execution, publishing and performance.

What you’ll own:

🎯 Social Media Strategy & Content Planning

💡 Content Ideation & Creative Direction

📱 Day-to-day management of Instagram & other platforms

✍️ Content calendars, captions & brand communication

🤝 Coordinate with creative, production & client teams

📈 Tailored Branding Solutions & Custom Presentation Drafting

📊 Track performance, identify insights & optimise content

🚀 Stay ahead of trends and turn them into relevant brand opportunities

👑 Most importantly — think like a brand owner, not just a social media executor.

What we’re looking for:

• 2–4 years of relevant social media experience

• Strong understanding of Instagram & current content trends

• Excellent communication and writing skills

• Ability to understand brand identity and translate it into content

• Strong strategic and creative thinking

• Someone who can independently manage multiple brands and timelines

• Prior experience with Fashion / Lifestyle / D2C brands is highly preferred

Why Vue Studios?

✨ Work with exciting and established brands

🎨 Creative freedom to experiment and execute

🚀 Exposure to the complete digital ecosystem — strategy, content, production & performance

🤝 A collaborative team that values ownership over hierarchy

📈 Opportunity to grow with a fast-moving agency

This is not a “post-and-report” role.

We’re looking for someone who wants to build brands, understand audiences and create work that actually moves the needle.

📍 Location: Mumbai

💼 Type: Full Time | Hybrid

⚡ Joining: Immediate / Short Notice Preferred

Think you’re the right fit?

Vue Studios — Let’s build something people remember.

• Graduation in planning/ engineering /environment management / water resource management /planning / science and preferably with a master's degree in relevant field.

• Should have experience of working in sanitation projects. Herein sanitation will include both solid & liquid waste management.

• Assist in revision and conceptualization of other incremental interventions that will improve the experience of pilgrims.

• Support the Authority in Open Defecation Free (ODF) and odour free with adequate toilet facilities.

• Support in financial sustainability, including cost optimisation and improving overall performance of the Client.

• Assist in sector-wise citing of toilets in Mela area.

• Drafting SOPs for installation, Operation and maintenance of multiple inventories of toilets like FRP (Fiber-Reinforced Plastic) toilets, Stainless Steel toilets, Kannath Toilets, Mobile Toilets, Tin toilets, Urinals etc. ensuring compliance to NGT guidelines.

• Capacity building of the Swacchagrahis (Sanitation Volunteers) through regular trainings and orientations for Clean, Open Defecation Free and odour free Mela.

About the Role

We are looking for an analytical and detail-oriented Data Scientist with deep expertise in graph analytics, network analysis, and scalable data engineering. This is not a conventional machine learning role — the focus is on understanding complex relationships, structures, and patterns within large-scale datasets using graph-based methods and statistical modeling. You will work in a collaborative, fast-paced environment and be expected to contribute across the full data lifecycle — from raw data exploration through to production-grade analytical systems.

This is a full-time, in-office role based out of our Pune office (5 days a week).

Key Responsibilities

Graph Analytics & Network Analysis

• Design and implement graph-based models to identify patterns, clusters, communities, and relationships within complex datasets.

• Apply network analysis techniques using metrics such as clustering coefficient, degree assortativity, density, Gini index, and small-world index.

• Perform multi-hop network traversals and community detection using algorithms such as Louvain partitioning and similar graph clustering approaches.

• Build and query graph databases (Neo4j, ArangoDB) using Cypher Query Language to extract structural insights from connected data.

• Leverage GPU-accelerated graph libraries (cuGraph) to scale graph computations across large datasets efficiently.

Data Engineering & Pipeline Development

• Conduct thorough Exploratory Data Analysis (EDA) on large-scale structured and semi-structured datasets to surface quality issues, distributions, and key features.

• Build, optimize, and maintain scalable data pipelines and stored procedures across cloud data platforms such as BigQuery, PostgreSQL, or Hive.

• Automate data workflows using orchestration tools such as Apache Airflow or Kubeflow Pipelines.

• Apply GPU-accelerated computing (CUDA, CuPy, cuDF) to optimize processing performance on high-volume data workloads.

• Ensure data integrity, reproducibility, and documentation across all analytical workflows.

Statistical Modeling & Insight Generation

• Apply statistical modeling techniques to detect behavioral anomalies, trends, and patterns within datasets.

• Use time series analysis to identify temporal patterns and changes in data over time.

• Translate analytical findings into clear, actionable insights for both technical and non-technical stakeholders.

• Build dashboards and reports using visualization tools (e.g., Trino Superset) to communicate results effectively.

Collaboration & Documentation

• Work closely with product, engineering, and business teams to understand requirements and deliver relevant analytical solutions.

• Contribute to internal knowledge sharing through workshops, documentation, and peer reviews.

• Maintain well-documented codebases and analytical frameworks for long-term maintainability.

Required Skills & Qualifications

Must-Have

• 3+ years of experience in a Data Science, Data Analytics, or Graph Analytics role.

• Strong proficiency in Python with hands-on experience using NumPy, Pandas, CuPy, and cuDF.

• Practical experience with graph analytics libraries — NetworkX, cuGraph, Neo4j, or ArangoDB.

• Solid understanding of graph theory concepts: community detection, network metrics, graph traversal, and clustering algorithms.

• Proficiency in SQL; experience with BigQuery, PostgreSQL, MS SQL, Hive, or similar databases.

• Experience with GPU-based computing using CUDA for performance-critical data tasks.

• Strong analytical thinking and ability to work independently on ambiguous, open-ended problems.

Good to Have

• Experience with Cypher Query Language for querying graph databases (Neo4j / ArangoDB).

• Familiarity with graph ML frameworks such as PyTorch Geometric.

• Exposure to workflow orchestration tools — Apache Airflow or Kubeflow Pipelines.

• Knowledge of cloud data tools such as Trino, MinIO, or IBM Datastage.

• Basic scripting skills in Bash or C++ for automation or performance tasks.

• Experience presenting data insights to senior stakeholders or cross-functional teams.

• Research publications, patents, or open-source contributions in graph analytics or data science are a strong plus.

What We Offer

• Opportunity to solve high-impact, large-scale data problems using modern graph and analytics tools.

• Exposure to cutting-edge technologies including GPU-accelerated computing and graph ML.

• Collaborative, intellectually stimulating work environment with a strong engineering culture.

• Competitive compensation with performance-based incentives.

• Learning & development support — certifications, courses, and conference participation.

• Centrally located Pune office with a structured, in-person team culture.

Sales Executive

Role Overview:

We are hiring a dynamic Sales Executive to drive lead generation, client acquisition, and revenue growth. The role focuses on building partnerships with corporates, event planners, and premium venues while closing high-value event deals.

Key Responsibilities:

1. Business Development

• Identify and connect with corporate clients, event planners, and wedding planners
• Build partnerships with 5-star hotels, banquet halls, and event venues
• Generate leads through cold calling, LinkedIn, and field visits
• Handle inbound leads and convert them into business

2. Sales Conversion

• Present and pitch CottonCandyWala services to potential clients
• Understand client requirements and offer customized solutions
• Follow up consistently and close deals

3. Relationship Management

• Develop and maintain long-term relationships with clients and venue partners
• Ensure high client satisfaction and repeat business
• Coordinate with the operations team for smooth event execution

4. CRM & Reporting

• Update and manage leads in CRM systems
• Track sales pipeline, conversions, and revenue targets
• Maintain regular follow-ups and reporting

Requirements:

• 1–3 years of experience in sales (event industry/hospitality preferred)
• Strong communication and negotiation skills
• Comfortable with field sales and client meetings
• Self-motivated and target-driven

Preferred Experience:

• Background in event management, hotel sales, or F&B sales
• Existing network with event planners or corporate HR/Admin teams

What You’ll Gain:

• Hands-on exposure to B2B and event sales
• Experience with CRM tools and lead management
• End-to-end sales cycle exposure
• Opportunity to grow in a fast-paced startup environment

Compensation & Work Details:

• Salary: ₹3.0 LPA fixed + ₹2.4 LPA incentives
• Work Location: Work from office – HSR Layout

Skills & Requirements

Required SkillsCommunication SkillsNegotiation SkillsLead GenerationSales ClosingClient HandlingCRM KnowledgeField SalesTarget Driven

Preferred SkillsEvent SalesHospitality ExperienceCorporate SalesIndustry NetworkVenue PartnershipsDeal Management

Experience

1 - 3 years

Education

Graduation (10 + 2 + 3)

Age Range

18 - 30 years

Languages Required

English, Hindi, Kannada

Proficient in Golang, Python, Java, C++, or Ruby (at least one)

Strong grasp of system design, data structures, and algorithms

Experience with RESTful APIs, relational and NoSQL databases

Proven ability to mentor developers and drive quality delivery

Track record of building high-performance, scalable systems

Excellent communication and problem-solving skills

Experience in consulting or contractor roles is a plus

BitClass, a VC funded startup in edtech, is looking for a React Native developer interested in building performant mobile apps on both the iOS and Android platforms. You will be responsible for architecting and building these applications, as well as coordinating with the teams responsible for other layers of the product infrastructure. Building a product is a highly collaborative effort, and as such, a strong team player with a commitment to perfection is required.

• Build pixel-perfect, buttery smooth UIs across both mobile platforms.
• Leverage native APIs for deep integrations with both platforms.
• Diagnose and fix bugs and performance bottlenecks for performance that feels native.
• Reach out to the open source community to encourage and help implement mission-critical software fixes—React Native moves fast and often breaks things.
• Maintain code and write automated tests to ensure the product is of the highest quality.
• Transition existing Android app to React Native.

• Firm grasp of the JavaScript language and its nuances, including ES6+ syntax
• Ability to write well-documented, clean Javascript code
• Rock solid at working with third-party dependencies and debugging dependency conflicts
• Familiarity with native build tools, like XCode, Gradle, Android Studio/IntelliJ
• Understanding of REST APIs, the document request model, and offline storage
• Experience with automated testing suites, like Jest or Mocha