
Similar jobs
Job Details*
1. Help the process of creating plans/strategies based on an organization's goals and the needs of the desired audience.
2. You will be assisting in the creation of consistent high-quality content that generates demand, attracts high-quality sign-ups and backlinks.
3. You will help our team perform audit of our website and social media accounts, creating and updating a shared editorial calendar. Also, researching for blog ideas and generating content for our blog.
4. Use storytelling and emotion to bring content to life and compel the reader to share. Own and execute the content and social calendar; work with our marketing, design and other cross functional teams to deliver on time.
5. Optimize content for different formats (SEO, SEM, Social, blogs, infographics, etc.) for better consumption and readership.
6. Conduct keyword research, backlink research and use SEO guidelines to increase web traffic.
7. Monitor web traffic and engagement (e.g. conversions and bounce rates) and measure content impact and report the metrics on an ongoing basis.
We would also expect the candidate to demonstrate:
1. An immense degree of critical thinking. Your content will be read by domain experts and you will not be able to write content with abstract opinions and assertions. You would need to back every opinion with either data or relevant experience.
2. The right kind of tone and energy. We like to use an informal/fun tone in our content. You would need to come in with the right attitude and the right energy to be able to match our tone/writing standards.
3. An attitude for perfection. You might have to go through several iteration cycles and would need to demonstrate wilingness to accept feedback. We need someone who accepts feedback with positivity.
Job Summary*
We're a Saas startup and we have an urgent requirement for a Content Strategist to help us with our domestic and overseas marketing processes.

We are seeking a dynamic and experienced Senior Pre-Sales Business Analyst to join our team. The incumbent will play a pivotal role in engaging with potential clients and channel partners, providing strategic insights, and crafting tailored solutions to address client needs. This role demands a blend of technical expertise, business acumen, and exceptional communication skills to effectively articulate our value proposition and drive revenue growth.
Responsibilities
· Engage with clients to understand their business objectives, challenges, and requirements related to computer vision applications.
· Conduct detailed analysis and document business requirements, ensuring clarity, completeness, and feasibility.
· Collaborate with the solutioning and development teams to propose innovative and technically viable solutions that meet clients' requirements.
· Act as a liaison between clients and internal teams, effectively communicating and translating business requirements to technical teams.
· Utilize the low-code platform and AI models to design innovative solutions that address client needs.
· Analyze client data and business processes to identify opportunities for optimization and efficiency gains.
· Develop comprehensive proposals and presentations outlining customized solutions tailored to each client's requirements.
· Collaborate with the sales team to develop compelling proposals, presentations, and demonstrations to showcase the value and capabilities of our computer vision products.
· Participate in pre-sales activities, including client meetings, presentations, and workshops, to support business development efforts.
· Conduct market research to identify potential clients, industry trends, and competitive landscape.
· Analyze market data and client feedback to refine product offerings and develop new solutions.
· Stay updated with industry trends, emerging technologies, and competitive landscape related to computer vision and provide insights and recommendations for product enhancements.
· Contribute to the continuous improvement of business analysis processes, tools, and methodologies within the organization.
Qualifications
· Bachelor's degree in Computer Science, Engineering, Business Administration, or a related field.
· 3-4 years of experience as a Business Analyst, preferably with pre-sales experience in the computer vision industry.
· Excellent communication and interpersonal skills to effectively interact with clients, understand their needs, and convey technical information to non-technical stakeholders.
· Proven experience in documenting business requirements, functional specifications, and use cases.
· Ability to collaborate and work effectively with cross-functional teams, including solution architects, developers, and sales professionals.
· Strong analytical and problem-solving skills, with the ability to think critically and propose innovative solutions.
· Proficiency in project management methodologies and tools to ensure timely and successful project delivery.
· Flexibility and adaptability to handle multiple projects simultaneously and work in a fast-paced environment.
· Willingness to travel as required to client locations for meetings, workshops, and presentations.


As a developer at CultureMonkey, you will be joining a world-class team of domain experts who are passionate about technology and people. An ideal day at CultureMonkey will see you working closely with the founding team to ideate and implement new features to enhance our product. As an organization helping top companies build a positive work culture, we are pretty serious about practicing what we preach. Work-life balance is a big deal here!
What you bring to the table:
- Writing and maintaining reliable code that abides to Object Oriented Design.
- Own up implementation of the entire module (comprises front-end and back-end components)
- Identifying and fixing bottlenecks and bugs in the product.
- Collaborate with customer success team to understand and analyze the requirements to build efficient solutions.
- Maintaining APIs.
- Participate in design reviews and architecture discussions.
- Optimize application for performance and scalability.
What it takes:
- Ability to learn and write production-ready code
- Basic understanding of Object oriented programming and MVC.
- Exposure to front-end technologies, such as JavaScript, HTML5, and CSS3.
- Familiar in database concepts and writing SQL queries.
- Strong collaboration and communication skills with an ability to communicate technical information, both written and oral, to technical and non-technical reviewers.
Extra brownie points if you have
- Hands on experience in Ruby on Rails.
- Basic understanding of Elastic-search
- Proficient understanding of Git
- Exposure to RESTful api.
Apart from financial gains, to know more about the benefits of working at CultureMonkey, you can refer to the following link: https://www.culturemonkey.io/life-at-cultureMonkey/
- Oversee the sales process to attract new clients.
- Work with senior team members to identify and manage risks.
- Maintain fruitful relationships with clients and address their needs effectively.
- Research and identify new market opportunities.
- Prepare and deliver pitches to potential investors.
- Foster a collaborative environment within the organization.
- Mandatory skills: Spring boot, Hibernate, Microservice
- Strong Java skills including Java 8 features
- Good understanding of Microservices-based architecture and the related ecosystem
- Exposure to MS SQL Server, Sybase etc. and NoSQL databases like MongoDB is also preferred.
- Great OO skills, including strong design patterns knowledge
- Strong knowledge of software best practices, like Test-Driven Development (TDD) and
- Continuous Integration (CI)
- Strong Knowledge of Data Structures & Algorithms
- Experience in working with data-driven RESTful APIs using web frameworks like SpringBoot,etc.
- Should be able to do data modeling
- Good understanding of ORMs like Hibernate, JPA, etc.
- Strong debugging skills
- Familiarity with architectural/ design patterns
- Advanced knowledge of Agile methodology.




As a Data Science Lead, you will be working on creating industry first analytical and propensity models to
help discover the information hidden in vast amounts of data, and make smarter decisions to deliver
even better customer experience. Your primary focus will be in applying data mining techniques, doing
statistical analysis, and building high quality prediction systems integrated with our products.
➢ Working with business and leadership teams to gathering and analyse structured and unstructured data
➢ Data mining using state-of-the-art methods
➢ Enhancing data collection procedures to include information that is relevant for building analytic
systems
➢ Processing, cleansing, and verifying the integrity of data used for analysis
➢ Doing ad-hoc analysis and presenting results in a clear manner
➢ Creating automated anomaly detection systems and constant tracking of its performance
➢ Creation and evolution of an efficient BI pipeline into a multi-faceted pipeline to support various
modelling needs.
What we are looking for:
➢ 5-8 years of relevant experience, preferably in financial services industry.
➢ A bachelors / master’s degree in the field of Statistics, Mathematics, Computer Science or
Management from Tier 1 Institutes.
➢ Data warehousing experience will be a plus.
➢ Good conceptual understanding of statistics and probability.
➢ Experience in developing dashboards and reports using BI tools.







