About Ripik.AI:Ripik.ai is a fast-growing industrial AI SAAS start-up founded by IIT D/ BITS alumni and with extensive experience in McKinsey, IBM, Google and others. It is backed by marquee VC funds like Accel, Venture Highway and 25+ illustrious angels including 14 unicorn founders.
Ripik.ai builds patented full stack software for automation of decision making on the factory floor. Today, they are deployed at more than 15 of the largest and most prestigious enterprises in India including the market leaders in steel, aluminum, cement, pharma, paints, consumer goods and others.
It is one of India's very few AI product start-ups to be a partner to GCP, Azure and AWS. We are also the AI partner of choice for CII, ICC and NASSCOM.
Working with stakeholders across multiple teams (including Category, Retention, Acquisition, Monetization etc.) to plan and manage multichannel marketing campaigns
- Track marketing metrics and trends, like conversion rates and web analytics.
Publish periodic reports and prepare decks for reviews with Senior Management- Guiding the other team members with their queries and resolving bottlenecks to ensure timelines and processes are met
Conduct market research to follow trends and competition
2-4 years of relevant experience
- Technical expertise with CRM and analytical systems
Knowledge of online marketing methods and best practices- Solid background in customer acquisition/retention strategies is a plus
Efficient project and people management skills
- Good communication and presentation skills - Written and Verbal
World class work culture, coaching and development
- Mentoring from highly experienced leadership from world class companies (refer to Ripik.AI website for details)
International exposureNoida (Work from office)
To apply please click on below link:
https://ripiktechnology.keka.com/careers/jobdetails/7289
Job Type: Full-time
Benefits:
Health insuranceSchedule: Monday to Friday
Ability to commute/relocate:
- Noida, Uttar Pradesh: Reliably commute or planning to relocate before starting work (Preferred)
Work Location: In person
Application Deadline: 09/09/2024