Associate Security Analyst (VAPT) - Fresher (Immediate Joinee)

 VP Partnership and Alliances

Reporting: President marketing

Job description

The role of the Sponsorship Manager will be to secure new Sponsorship alliances for existing festivals which has been largely untapped in the past. As part of the team you will be instrumental in establishing best practice in winning new business and creating consultative thought leadership sales packages for big ticket spenders. You will work closely with the Project Heads

Key Responsibilities:

• The role of the Sponsorship Manager will be to secure new Sponsorship alliances for existing festivals which has been largely untapped in the past. As part of the team you will be instrumental in establishing best practice in winning new business and creating consultative thought leadership sales packages for big ticket spenders. You will work closely with the Project Heads

• Responsible for selling our festivals to prospective sponsors and alliance partners against agreed targets. Work on achieving & fulfilling the set targets by the HOD(Individual& Team targets)

• To contribute towards brand and product positioning and develop market strategies for getting sponsorship for our festivals

• Brainstorming with the production head & the festival team on the festival ideas and then accordingly make the festival pitching and presentation

• Responsible for Relationship building & key account management with the existing clients to get more business

• To understand thoroughly and establish appropriate channels/mediums of reaching the target audience keeping the budget in mind.

• Required to be networked into market to not only connect with prospective sponsors and marketing agencies but keep informed of the competitive environment

• Working towards delivering the set team target and individual targets for the year.

• Guiding the team towards achieving the team targets.

• Liaising with colleagues and team members, Festival Team & Design Team for the marketing collaterals & presentations

Qualifications:

• Bachelor's degree in Marketing, Business, or a related field (Master's degree is a plus).
• Proven experience of min 10 years in sponsorship acquisition or sales, with a track record of securing high-value sponsorships. Strong negotiation and communication skills.
• Excellent networking and relationship-building abilities.
• A solid understanding of marketing and branding principles.
• Results-driven with the ability to work independently and meet revenue targets.
• Knowledge of industry trends and best practices in sponsorship acquisition.

• KEY SKILLS REQUIRED-

• HAND ON 2+ YRS EXPERINCE AS A GRAPHIC DESIGNER IN THE TEXTILE INDUSTRY / GARMENTS
• A keen eye for visual details.
• Ability to meet deadlines and collaborate with team members.
• Designing graphic content, ECOMMERCE CLOTHING DESAIGNIG

I'm seeking someone passionate about design who wants to gain real-world product-building experience for their portfolio. Goalbook is an early-stage project—an AI-based goal assistant currently in the prototype phase. We're building the MVP to test market viability and refine the user experience.

I'm looking for a designer who’s excited about crafting intuitive, user-centered experiences and eager to understand user needs and expectations deeply.

Ideal candidate:

• Has strong UI design skills
• Is curious and committed to user research
• Is enthusiastic, self-motivated, and willing to learn
• Experience level doesn't matter—as long as you're driven to grow and create

If you're someone who loves turning ideas into thoughtful, usable designs, let’s connect!

Responsibilities

This role requires a person to support business charters & accompanying products by aligning with the Analytics

Manager’s vision, understanding tactical requirements and helping in successful execution. Split would be approx.

70% management + 30% individual contributor. Responsibilities include

Project Management

- Understand business needs and objectives.

- Refine use cases and plan iterations and deliverables - able to pivot as required.

- Estimate efforts and conduct regular task updates to ensure timeline adherence.

- Set and manage stakeholder expectations as required

Quality Execution

- Help BA and SBA resources with requirement gathering and final presentations.

- Resolve blockers regarding technical challenges and decision-making.

- Check final deliverables for correctness and review codes, along with Manager.

KPIs and metrics

- Orchestrate metrics building, maintenance, and performance monitoring.

- Owns and manages data models, data sources, and data definition repo.

- Makes low-level design choices during execution.

Team Nurturing

- Help Analytics Manager during regular one-on-ones + check-ins + recruitment.

- Provide technical guidance whenever required.

- Improve benchmarking and decision-making skills at execution-level.

- Train and get new resources up-to-speed.

- Knowledge building (methodologies) to better position the team for complex problems.

Communication

- Upstream to document and discuss execution challenges, process inefficiencies, and feedback loops.

- Downstream and parallel for context-building, mentoring, stakeholder management.

Analytics Stack

- Analytics : Python / R + SQL + Excel / PPT, Colab notebooks

- Database : PostgreSQL, Amazon Redshift, DynamoDB, Aerospike

- Warehouse : Amazon Redshift

- ETL : Lots of Python + custom-made

- Business Intelligence / Visualization : Metabase + Python/R libraries (location data)

- Deployment pipeline : Docker, Git, Jenkins, AWS Lambda

Job Description :

1. Coordinate with project managers and team to create detailed project plans for
achieving timeliness and 100% quality in each project and deliverables.
2. Address technical concerns, ideas, and suggestions and provide a technological
solution to them.
3. Creating API endpoints for web applications and internal scripts that will handle
the business logic of applications.
4. Troubleshoot, test, and maintain the core product and database to ensure strong
optimization and functionality.
5. Develop innovative, reusable web-based tools.

Skill Requirements :

1. Understanding the principles behind a scalable application.
2. Understanding of the software development life-cycle and best practices.
3. Must have experience with MySQL/Postgres SQL and should be capable of
writing queries, stored procedures, indexes, etc.
4. Working Experience in Laravel HMVC, Hooks & Plug-in Methodologies. Laravel
is Preferrable.
5. HTML5, CSS3, XML knowledge is mandatory. And experience with JavaScript
and jQuery for producing AJAX applications.
6. Ability to make modifications to the systems with little or no interruption of
service.
7. Exposure to REST API Development & API integrations.
8. Working Experience in Composer & PHP Libraries.

Glance – An InMobi Group Company:

Glance is an AI-first Screen Zero content discovery platform, and it’s scaled massively in the last few months to one of the largest platforms in India. Glance is a lock-screen first mobile content platform set up within InMobi. The average mobile phone user unlocks their phone >150 times a day. Glance aims to be there, providing visually rich, easy to consume content to entertain and inform mobile users - one unlock at a time. Glance is live on more than 80 millions of mobile phones in India already, and we are only getting started on this journey! We are now into phase 2 of the Glance story - we are going global!

Roposo is part of the Glance family. It is a short video entertainment platform. All the videos created here are user generated (via upload or Roposo creation tools in camera) and there are many communities creating these videos on various themes we call channels. Around 4 million videos are created every month on Roposo and power Roposo channels, some of the channels are - HaHa TV (for comedy videos), News, Beats (for singing/ dance performances) along with a For You (personalized for a user) and Your Feed (for videos of people a user follows).

What’s the Glance family like?

Consistently featured among the “Great Places to Work” in India since 2017, our culture is our true north, enabling us to think big, solve complex challenges and grow with new opportunities. Glanciers are passionate and driven, creative and fun-loving, take ownership and are results-focused. We invite you to free yourself, dream big and chase your passion.

What can we promise? 

We offer an opportunity to have an immediate impact on the company and our products. The work that you shall do will be mission critical for Glance and will be critical for optimizing tech operations, working with highly capable and ambitious peer groups. At Glance, you get food for your body, soul, and mind with daily meals, gym, and yoga classes, cutting-edge training and tools, cocktails at drink cart Thursdays and fun at work on Funky Fridays. We even promise to let you bring your kids and pets to work. 

What you will be doing?

Glance is looking for a Data Scientist who will design and develop processes and systems to analyze high volume, diverse "big data" sources using advanced mathematical, statistical, querying, and reporting methods. Will use machine learning techniques and statistical analysis to predict outcomes and behaviors. Interacts with business partners to identify questions for data analysis and experiments. Identifies meaningful insights from large data and metadata sources; interprets and communicates insights and or prepares output from analysis and experiments to business partners. 

You will be working with Product leadership, taking high-level objectives and developing solutions that fulfil these requirements. Stakeholder management across Eng, Product and Business teams will be required.

Basic Qualifications:

• Five+ years experience working in a Data Science role
• Extensive experience developing and deploying ML models in real world environments
• Bachelor's degree in Computer Science, Mathematics, Statistics, or other analytical fields
• Exceptional familiarity with Python, Java, Spark or other open-source software with data science libraries
• Experience in advanced math and statistics
• Excellent familiarity with command line linux environment
• Able to understand various data structures and common methods in data transformation
• Experience deploying machine learning models and measuring their impact
• Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.

Preferred Qualifications

• Experience developing recommendation systems
• Experience developing and deploying deep learning models
• Bachelor’s or Master's Degree or PhD that included coursework in statistics, machine learning or data analysis
• Five+ years experience working with Hadoop, a NoSQL Database or other big data infrastructure
• Experience with being actively engaged in data science or other research-oriented position
• You would be comfortable collaborating with cross-functional teams.
• Active personal GitHub account.