Product Management Jobs in Bangalore - TECHWORKS TRAVEL
Product Management
TECHWORKS TRAVEL
Expired
Posted: 31 Mar 21
Job Description
About the internship
Selected intern's day-to-day responsibilities include:
1. Study the market and understand the domain
2. Attend meetings when required
3. Complete the given task and update the mentors daily
1. Study the market and understand the domain
2. Attend meetings when required
3. Complete the given task and update the mentors daily
Skill(s) required
Learn these skills on Internshala Trainings
Learn Business Communication
Who can apply
Only those candidates can apply who:
1. are available for full time (in-office) internship
2. can start the internship between 22nd Mar'21 and 26th Apr'21
3. are available for duration of 6 months
4. have relevant skills and interests
* Women wanting to start/restart their career can also apply.
Other requirements
1. Should have an MBA in Product or any degree with product development/management course
2. Should have the ability to understand and grasp the aspects
3. Should be able to analyze the requirements and work independently
4. Should have good researching and analytical skills
5. Should have the basic knowledge of NLP and the hospitality industry
Perks
Number of openings
1
Certificate: Will be provided at the end of the Internship
Job Particulars
Role hr admin
Education Any Graduate, Other Course
Who can apply Freshers
Hiring Process Face to Face Interview
Employment TypeInternship / Projects
Job Id1165314
Job Category Recruitment
Locality Address
State Karnataka
Country India
About Company
About TECHWORKS TRAVEL
Techworks Travel is a bunch of technology enthusiasts who believe that by combining our years of global experience, we can revolutionize the travel tech space. The focus of the company is on creating personalized high-end technology for the travel and hospitality industry. It is now working with three of the world's largest travel companies to custom-build state-of-the-art travel platforms that use high-end AI-driven machine learning solutions. What sets it apart is the ability to de-clutter the hotel distribution product and give the end-booker a single source that provides an intelligent and personalized solution. Its deep domain understanding, coupled with a good knowledge of artificial intelligence and machine learning, has made it a force to reckon with during this short time.
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