
- Drive the execution of all product lifecycle processes for the growth of Factory Acquisition product, including product research, market research, competitive analysis, planning, positioning, roadmap development, requirements development, and product launch
- Identify, Plan and execute side Product Hacks to speedup Factory Acquisitions
- Assess current competitor offerings, seeking opportunities for differentiation
- Analyze consumer needs, current market trends, and potential partnerships from an ROI and build vs. buy perspective
- Create product strategy documents that describe business cases, high-level use cases, technical requirements, revenue, and ROI
- Translate product strategy into detailed requirements for prototype construction and final product development by engineering teams
- Build product flows for seamless factory onboarding at scale
- Collaborate closely with engineering, production, marketing, and sales teams on the development, QA, and release of products and balance of resources to ensure success for the entire organization
- Drive the Factory CAC Metric
- Implement, and maintain production timelines across multiple departments
- Appraise new product ideas and strategize appropriate to-market plans

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Key Responsibilities:
Identify, approach, and onboard new client companies for recruitment solutions.
Leverage existing network in the staffing and recruitment ecosystem to generate new business leads.
Conduct client meetings (virtual and on-site), pitch SnapFind’s offerings, and convert leads into long-term partnerships.
Manage the complete sales cycle from lead generation to closure and post-sale client relationship.
Collaborate with internal delivery and freelancer teams to ensure service quality and satisfaction.
Maintain a strong pipeline of prospects and provide regular updates to the leadership team.
Ensure revenue targets and client acquisition goals are consistently met.
Represent SnapFind at HR events, job fairs, and client sites when required.
Conduct offline training sessions on Digital Marketing topics.
Prepare and share training materials, assignments, and case studies.
Guide students through hands-on activities and real-world marketing projects.
Assess student performance and provide constructive feedback.
Ensure engaging, interactive, and practical classroom sessions.
Design, implement, and improve the analytics platform
Implement and simplify self-service data query and analysis capabilities of the BI platform
Develop and improve the current BI architecture, emphasizing data security, data quality
and timeliness, scalability, and extensibility
Deploy and use various big data technologies and run pilots to design low latency
data architectures at scale
Collaborate with business analysts, data scientists, product managers, software development engineers,
and other BI teams to develop, implement, and validate KPIs, statistical analyses, data profiling, prediction,
forecasting, clustering, and machine learning algorithms
Educational
At Ganit we are building an elite team, ergo we are seeking candidates who possess the
following backgrounds:
7+ years relevant experience
Expert level skills writing and optimizing complex SQL
Knowledge of data warehousing concepts
Experience in data mining, profiling, and analysis
Experience with complex data modelling, ETL design, and using large databases
in a business environment
Proficiency with Linux command line and systems administration
Experience with languages like Python/Java/Scala
Experience with Big Data technologies such as Hive/Spark
Proven ability to develop unconventional solutions, sees opportunities to
innovate and leads the way
Good experience of working in cloud platforms like AWS, GCP & Azure. Having worked on
projects involving creation of data lake or data warehouse
Excellent verbal and written communication.
Proven interpersonal skills and ability to convey key insights from complex analyses in
summarized business terms. Ability to effectively communicate with multiple teams
Good to have
AWS/GCP/Azure Data Engineer Certification
About Company
Our client is a brand co-creation platform that transforms powerful ideas into authentic, profitable, and experience-led brands that can define the future of brands in key consumption categories. They now have 10 brands that are active and these are available across its own D2C channel, ecomm platforms and general and modern trade channels.
WHAT YOU’LL BE DOING:
- Lead Brand Marketing, Strategy, Content and Communication for existing and new brands
- Creating Brand positioning and differentiation strategies, generating brand anticipation and planning Brand launch keeping in mind the key insights gained from customer and competitor analysis
- Translate brand strategies into brand plans, brand positioning, category, product planning and go-to-market execution plans
- Accountable to lead marketing campaigns, content, understanding the brand well, and integrating the brand communication across all channels
- Own and drive social media presence for the brand
- Develop & conduct marketing campaigns to increase traffic & conversion
- Create & deliver ambitious growth plans for the brand's D2C platforms and take onus of D2C business delivery.
- Driving performance on all performance-marketing channels such as Facebook, Google etc, as well as organic, direct and affiliate sources of revenue and traffic.
- Oversee operation of own websites, app(s), content platform(s) and any other digital D2C initiatives.
- Responsible for customer retention marketing activities and merchandising strategy for scaling up revenue.
- Plan and deliver on retention targets within time and budget with focus on key channels such as Email, SMS & Push Notifications.
- Work closely on increase conversions, cross-sell, and drive platform specific influencer activities, and focus on upselling to increase the customer engagement via multiple digital channels.
WHAT YOU’LL BRING TO THE TEAM:
- 7-10 years business and / or marketing experience in relevant start-up/ e-commerce/ D2C/FMCG organizations handling a large brand or 2/3 independent brands.
- Experience working for multiple brands at a time
- Strong experience using performance marketing to drive traffic growth and brand awareness
- Expertise in a similar role as well as experience building effective multi-channel marketing strategies, including affiliate marketing, PPC, SEO, social media and other digital channels.
- Experience in managing digital first brands both from width & depth point of view
- Strength working with cross functional teams in a high growth environment
- Experience in creating end to end online customer journey
We are looking for a good JavaScript developer who is proficient with React.js. Your primary focus will be on developing user interface components and implementing them following well-known React.js workflows (such as Flux or Redux). You will ensure that these components and the overall application are robust and easy to maintain. You will coordinate with the rest of the team working on different layers of the infrastructure. Therefore, a commitment to collaborative problem solving, sophisticated design, and quality product is important.
Requirements
- 3+ years of experience in React JS and Redux
- Expert in React.j, ideally using TypeScript language extensions
- Good understanding of JavaScript Design Patterns
- Good experience writing front-end test cases
- Exposure in React Native is preferred.
- HTML5, CSS3 and Responsive web design are mandatory
- Exposure to Scrum methodology and XP technical practices such as unit testing, pair programming, test-driven development, continuous integration or continuous delivery
- Self-motivated, fast learner, detail-oriented, team player and a sense of humour
with the engineering team to strategize and execute the development of data products
● Execute analytical experiments methodically to help solve various problems and make a true impact across
various domains and industries
NLP ENGINEER at KARZA TECHNOLOGIES
● Identify relevant data sources and sets to mine for client business needs, and collect large structured and
unstructured datasets and variables
● Devise and utilize algorithms and models to mine big data stores, perform data and error analysis to improve
models, and clean and validate data for uniformity and accuracy
● Analyze data for trends and patterns, and Interpret data with a clear objective in mind
● Implement analytical models into production by collaborating with software developers and machine
learning engineers
● Communicate analytic solutions to stakeholders and implement improvements as needed to operational
systems
What you need to work with us:
● Good understanding of data structures, algorithms, and the first principles of mathematics.
● Proficient in Python and using packages like NLTK, Numpy, Pandas
● Should have worked on deep learning frameworks (like Tensorflow, Keras, PyTorch, etc)
● Hands-on experience in Natural Language Processing, Sequence, and RNN Based models
● Mathematical intuition of ML and DL algorithms
● Should be able to perform thorough model evaluation by creating hypotheses on the basis of statistical
analyses
● Should be comfortable in going through open-source code and reading research papers.
● Should be curious or thoughtful enough to answer the “WHYs” pertaining to the most cherished
observations, thumb rules, and ideas across the data science community.
Qualification and Experience Required:
● 1 - 4 years of relevant experience
● Bachelor/ Master’s degree in computer science / Computer Engineering / Information Technology
Languages: Strong in Java v1.6 (v1.8, nice to have), good in SQL (for any relational database)
Framework: Spring Boot or Spring MVC Tools: Hibernate (or iBatis) for database, maven (or gradle) build tool Database: Any relational database experience (oracle, postgresql, sql server, mysql, etc) Web server/application server: Any server experience (tomcat, jboss, jetty, etc) Source code versioning: GitHub (or apache SVN) IDE: Eclipse (or anything else) Development platform: Windows or Linux Cloud platform: AWS (or any cloud platform) (optional)
- We are looking for a Data Engineer to build the next-generation mobile applications for our world-class fintech product.
- The candidate will be responsible for expanding and optimising our data and data pipeline architecture, as well as optimising data flow and collection for cross-functional teams.
- The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimising data systems and building them from the ground up.
- Looking for a person with a strong ability to analyse and provide valuable insights to the product and business team to solve daily business problems.
- You should be able to work in a high-volume environment, have outstanding planning and organisational skills.
Qualifications for Data Engineer
- Working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
- Experience building and optimising ‘big data’ data pipelines, architectures, and data sets.
- Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
- Strong analytic skills related to working with unstructured datasets. Build processes supporting data transformation, data structures, metadata, dependency and workload management.
- Experience supporting and working with cross-functional teams in a dynamic environment.
- Looking for a candidate with 2-3 years of experience in a Data Engineer role, who is a CS graduate or has an equivalent experience.
What we're looking for?
- Experience with big data tools: Hadoop, Spark, Kafka and other alternate tools.
- Experience with relational SQL and NoSQL databases, including MySql/Postgres and Mongodb.
- Experience with data pipeline and workflow management tools: Luigi, Airflow.
- Experience with AWS cloud services: EC2, EMR, RDS, Redshift.
- Experience with stream-processing systems: Storm, Spark-Streaming.
- Experience with object-oriented/object function scripting languages: Python, Java, Scala.










