Social Media Marketer

About us:

We are not just an AD agency or a creative agency, we are a Communication Company. Founded in 2014, Moshi Moshi is a young, creative, gutsy and committed communication company that wants its clients to always Expect the EXTRA from it. Our primary clientele consists of Startups & Corporates like Ola, Zoomcar, Mercedes Benz, ITC, Aditya Birla Group, Colive, MTV, Toit, IHCL, Jaquar, Sobha, Simple Energy, and Godrej amongst others. We have a huge team of creative folks, marketers, learners, developers, coders and a puppy momo, who believe Moshi Moshi is an experience rather than a company.

Why Moshi Moshi?

The learning curve at Moshi Moshi is very high when compared to the industry average and that's primarily because you get to work with Companies / Brand managers / Marketers of different sizes and thought processes who push you to think better and faster. So, Hop on to the ride we dearly call Moshi Moshi and let's Say hello to the world.

PS:- We are also very close to a lot of food joints and breweries, so in case your manager/boss gives you a lot of work or is Expecting the Extra, you can quickly grab a recharge and continue with your everyday life struggles. We can't do much about the manager!

Job Role: Brand Research Executive

Experience Level: 1 - 2 years

Location: Bangalore, On site (with travel)

Job Description:

We’re looking for a Brand Research Executive for our Brand Consultancy Team, who enjoys leveraging well-informed brand and consumer insights to create compelling, channel-right narratives for brands. From discovering opportunity spaces through competitive audits to developing consumer journeys and brand positioning territories, you can tell brand stories across the digital landscape, and the best way to drive an audience to these stories.

What You’ll Do:

● Conduct qualitative research across primary and secondary sources, including interviews, field visits, observation, and desk research.

● Lead tabletop research: category landscapes, cultural trends, competitor behaviour, and brand communication patterns.

● Support and conduct brand audits across touchpoints including messaging, tone, presence, and positioning with the ability to identify patterns, gaps, and tensions that inform strategy.

● Synthesize research into clear, insight-led outputs that help brand strategists make informed decisions.

● Work closely with brand strategists, ensuring research findings are framed accurately, meaningfully, and in a way that can be translated into strategic direction.

● Prepare well-structured presentations that communicate not just findings, but implications.

● Manage research work streams across 1–2 brands at a time, with occasional overlap across multiple projects.

● Participate in on-ground research across Tier 1 and Tier 2 cities, engaging directly with consumers and cultural contexts.

What We’re Looking For:

● A strong inclination towards strategic thinking, you should be interested in how insights shape brand positioning, communication, and decision-making.

● Solid qualitative research sensibility, with the ability to move from observation to meaningful insight.

● Comfort with market and competitor research, and making sense of unstructured information.

● Clear communication and presentation skills, clarity of thought matters more than embellishment.

● Good project ownership: organised, dependable, and comfortable managing time across parallel tasks.

● Strong people skills and the ability to navigate conversations with consumers, clients, and internal teams.

● Willingness to travel for research along with the ability to converse in Hindi and at least one South Indian language is important.

Brand Manager

Role Summary

The Brand Manager will be responsible for developing and strengthening the company's brand identity, increasing market visibility, and ensuring consistent brand communication across all channels. The role involves managing brand campaigns, content strategy, customer engagement initiatives, and marketing activities to position the company as a trusted name in stock broking and financial services.

Key Responsibilities

• Develop and execute brand-building strategies aligned with business objectives.
• Enhance brand awareness and credibility within the people, stock market and investment community.
• Manage brand communication across digital, social media, website, events, and marketing collateral.
• Oversee content strategy, including social media, blogs, newsletters, videos, and educational campaigns.
• Plan and execute brand campaigns, investor awareness programs, webinars, and promotional activities.
• Ensure consistency in brand messaging, design, and customer experience across all touchpoints.
• Strengthen the company's brand image by highlighting its features, services, culture, work environment, success stories, and unique approach in the market
• Monitor market trends and customer insights to refine branding strategies.
• Manage relationships with agencies, media partners, influencers, and vendors.
• Track and report brand performance metrics and campaign effectiveness.

Required Skills

• Strong understanding of Branding, Marketing, and Customer Engagement.
• Excellent communication, content, and storytelling skills.
• Build and manage a strong team.
• Experience in social media, digital marketing, and campaign management.
• Strong project management and stakeholder management abilities.
• Analytical mindset with the ability to measure campaign and brand performance.
• Creative thinking with attention to detail.

Preferred Qualifications

• Bachelor's degree in Marketing, Communications, Business Administration, or a related field.
• 3–7 years of experience in Brand Management, Marketing, or Corporate Communications.
• Experience in Stock Broking, Wealth Management, FinTech, Financial Services, or Capital Markets is preferred.

Key KPIs

• Brand awareness and visibility.
• Social media reach and engagement.
• Customer acquisition and retention.
• Website traffic and brand-related conversions.

Media mentions and market presence

• Creating and managing ETL/ELT pipelines based on requirements
• Build PowerBI dashboards and manage datasets needed.
• Work with stakeholders to identify data structures needed for future and perform any transformations including aggregations.
• Build data cubes for real-time visualisation needs and CXO dashboards.

Required Tech Skills

• Microsoft PowerBI & DAX
• Python, Pandas, PyArrow, Jupyter Noteboks, ApacheSpark
• Azure Synapse, Azure DataBricks, Azure HDInsight, Azure Data Factory

Quantum Corp. leads the world in helping users collaboratively solve some of the world's hardest computer challenges. Whether its wrangling Petabytes of data for cutting edge movie production, managing global content production workflows, exploring new sources of energy, or managing oceans of content and blending collaborative high-speed workflows with cutting-edge object storage, Quantum has the tools and technology to help you engineer the solution that works now - and preserves your work for decades to come. You are applying to an exceptional team that contributes to enhancing our position as a proven global expert in data management.

Job Summary and Duties:

This position will highlight new product development, as well as feature development and bug fixing of existing products serving the expanding big data, NAS, virtualization, replication, and file systems market. This position is required to be well rounded in operating system including all flavors of Linux, Windows, and MacOS. Building specialized core (user space and kernel space) software is the main function of this role.

Specific duties include but are not limited to:

• Development and maintenance of new Primary Storage products.

• Investigating and resolving issues in existing products related application workflows, cross-platform interactions, and new operating systems.

• Triage and disposition incoming issues from support cases, customer interactions, and new feature requests.

Job Requirements:

• Minimum 8 years of combined education and experience including 5 years of C/C++ programming.

• Expertise with SMB/NFS networking protocol stacks (Samba).

• Filesystem VFS layer expertise (Samba VFS modules).

• Experience with Python and Linux shell programming.

• Experience with SAN and Ethernet networking technologies.

• Ability to work in a team environment.

• Strong communication skills.

Desired Skills:

• Knowledge of kernel internals including any of the following: Linux and Mac OS X.

• Interfaces with special purpose file system APIs and web services required.

• Knowledge and experience with container technologies (Kubernetes, Docker)

• Knowledge and experience with Virtualization technologies: ESX, KVM

• Experience working in an Agile environment using CI methodologies.

• Being involved in various day-to-day activities such as order punching, order processing, shipping plans, order tracking, sharing delivery status etc. and also handling any order issues
• Answering customer queries on information including but not limited to, order status, shipment dates etc.
• Responding to customers in a courteous and timely manner
• Ensuring the terms and conditions while managing various customer orders from processing to delivery
• Updating and maintaining relevant data and reporting the same to the company in regular intervals

What you must have:

• Graduation is a must
• 3– 4 years of relevant work experience in customer service– order management role
• Excellent communication and listening skills
• Good knowledge as well as work experience in using SAP
• Good in MS Word, MS Excel and email writing
• Attention to detail and ability to multi-task

We’re looking to hire someone to help scale Machine Learning and NLP efforts at Episource. You’ll work with the team that develops the models powering Episource’s product focused on NLP driven medical coding. Some of the problems include improving our ICD code recommendations , clinical named entity recognition and information extraction from clinical notes.

This is a role for highly technical machine learning & data engineers who combine outstanding oral and written communication skills, and the ability to code up prototypes and productionalize using a large range of tools, algorithms, and languages. Most importantly they need to have the ability to autonomously plan and organize their work assignments based on high-level team goals.

You will be responsible for setting an agenda to develop and ship machine learning models that positively impact the business, working with partners across the company including operations and engineering. You will use research results to shape strategy for the company, and help build a foundation of tools and practices used by quantitative staff across the company.

What you will achieve:

• Define the research vision for data science, and oversee planning, staffing, and prioritization to make sure the team is advancing that roadmap

• Invest in your team’s skills, tools, and processes to improve their velocity, including working with engineering counterparts to shape the roadmap for machine learning needs

• Hire, retain, and develop talented and diverse staff through ownership of our data science hiring processes, brand, and functional leadership of data scientists

• Evangelise machine learning and AI internally and externally, including attending conferences and being a thought leader in the space

• Partner with the executive team and other business leaders to deliver cross-functional research work and models

Required Skills:

• Strong background in classical machine learning and machine learning deployments is a must and preferably with 4-8 years of experience

• Knowledge of deep learning & NLP

• Hands-on experience in TensorFlow/PyTorch, Scikit-Learn, Python, Apache Spark & Big Data platforms to manipulate large-scale structured and unstructured datasets.

• Experience with GPU computing is a plus.

• Professional experience as a data science leader, setting the vision for how to most effectively use data in your organization. This could be through technical leadership with ownership over a research agenda, or developing a team as a personnel manager in a new area at a larger company.

• Expert-level experience with a wide range of quantitative methods that can be applied to business problems.

• Evidence you’ve successfully been able to scope, deliver and sell your own research in a way that shifts the agenda of a large organization.

• Excellent written and verbal communication skills on quantitative topics for a variety of audiences: product managers, designers, engineers, and business leaders.

• Fluent in data fundamentals: SQL, data manipulation using a procedural language, statistics, experimentation, and modeling

Qualifications

• Professional experience as a data science leader, setting the vision for how to most effectively use data in your organization

• Expert-level experience with machine learning that can be applied to business problems

• Evidence you’ve successfully been able to scope, deliver and sell your own work in a way that shifts the agenda of a large organization

• Fluent in data fundamentals: SQL, data manipulation using a procedural language, statistics, experimentation, and modeling

• Degree in a field that has very applicable use of data science / statistics techniques (e.g. statistics, applied math, computer science, OR a science field with direct statistics application)

• 5+ years of industry experience in data science and machine learning, preferably at a software product company

• 3+ years of experience managing data science teams, incl. managing/grooming managers beneath you

• 3+ years of experience partnering with executive staff on data topics

Required skill set:

• Should have good hands on with ServiceNow
• Should be have good communication skills