Covid has thrown the world in disarray and it will never be the same again. Enterprises around the world are looking towards automation of cognitive tasks to help them be competitive or even survive. Agara has built some of the most forward-looking products that drive this digital transformation and looped in some of the biggest brands in the world as early customers.
You have the opportunity to be early members of the Analytics team, lead it from the front and shape it as you go along. Being an early member comes with its own benefits – a wide open platform grows and try new strategies, being on the forefront of truly the next-generation of technology, industry- standard compensation, a competitive options package and the ability to work from your location.
This is a rapidly growing market and Agara is solidly positioned to take advantage. You can have pole position to capitalize on that.
Agara is building the AI-led organization of the future where machines undertake swift, intelligent and interactive conversations with people and create a great experience for all. Its patented artificial intelligence platform brings together the best of machine learning and ongoing internal research to create engaging virtual agents to understand, process and resolve customer issues without human assistance.
Agara works with some of the largest brands in the world helping them offer ever better experiences to their customers. We are backed by blue-chip investors from the US (Kleiner Perkins), Europe, Japan and India.
Agara’s product & engineering teams are based in India (Bangalore) and we are now building our entire go-to-market machinery in the United States.
Agara is building the next generation of autonomous Conversational AI experiences over voice for global enterprises.
Almost 40% of all customer support requests in the US are over voice. This massive volume is managed by over 3.5m customer support agents located in the US who spend 60% of their time handling calls. However, the experience with customer support on phone continues to be abysmal with over 50% customers hanging up before their query is resolved.
Agara intends to turn this situation on its head.
Agara builds virtual voice agents that can field customer calls, ask questions, get information from company systems and provide resolutions - exactly the way agents do. We use proprietary machine learning / AI models that excel in understanding intents from speech, making decisions about the right manner to handle the query and talk the customer through the resolution.
Agara demo: https://youtu.be/Muu0YCNBrrw
Agara’s voice bots are highly conversational. They can do all the things that people do - hold the line if the person is busy, repeat things, understand frustration and change their tone based on the context. They can also do some things that people cannot - understand all kinds of accents, respond instantly every single time and instantly handle a rising volume of calls.
Post Covid Context
While there was a short-term disruption as everyone figured out a way to work from home, Covid-19 has been an overall positive for Agara.
Companies around the world are now looking aggressively at automation solutions for every part of their business. Customer contact centres, in particular, have suffered due to their inability to manage process-heavy setups while agents are unavailable or not as productive. Digital transformation journeys have accelerated dramatically and Agara’s focus on helping automate their voice conversations is an important component of that journey.
We are doubling down on our go to market efforts across key industries to capitalize on this key space.
Agara was founded in the summer of 2017. In the background of this birth was a coming of age of cutting-edge Deep Learning capabilities and Agara has been part of this wave of global applied AI companies who are bringing the tech to real-world problems. From the 4 members working out of a tiny coworking space, we are now a 35 strong team and have built several products, completed several deployments and proven their capability on several platforms.
Along the way, we have had the support of some great people and companies.
Kleiner Perkins came onboard as an early supporter and led our seed round. We also were able to sign up Procter & Gamble, the $40bn global giant, as an early customer to automate their email support.
Over the next couple of years, we had our heads down and solving the thorny problems facing us over email and voice. In 2019, we released our voice assisted customer support and on the back of it, raised new funds from Blume Ventures of India and RTP Global of Europe. By the end of the year, we had released the beta version of our fully autonomous voice agents.
2020 was a difficult year for everyone but not only did we weather the storm, we came out on top. The world is moving to greater automation and we see a big role for us. We also were able to execute a fund-raise despite fully remote discussions (announcement coming soon!).
2021 is our year of expansion. One that you will have a driving role in.
Abhimanyu is a founder and serves as the CEO. He brings to the table 14 years of experience in executive roles across multiple industries. In 2010, he founded his first startup in the travel space which brought about among the first marketplaces in international travel in India. Since then, he served as VP Product at Stayzilla, a VC backed Airbnb-clone. He spends 6-8 months on the road and will be working with all sales reps.
Arjun Maheswaran is a founder and serves as the CTO. For the past decade, he has been living and breathing machine learning. For 5+ years, he worked with Twitter in San Francisco, first in spam fighting and later with Cortex, their core Deep Learning team. He has built global-scale, real-time bots to identify, analyse and action upon tweets while creating and managing complex rules. He has also served stints at Cisco and Google. Arjun graduated Georgia Tech with a MS in Theoretical Computer Science.
Pankaj Gupta is a founder and an advisor. He serves as a Senior Director of Engineering at Google and has played a pivotal role in several of Google’s new age products including payments. He served a long stint at Twitter (emp # 25) and is credited with building the Who To Follow feature on the platform. Pankaj holds a PhD in Computer Science from Stanford University.
Dawn Varghese is a Director of Sales and the first senior sales hire. He comes to us after spending 12 years in Salesforce, IBM Watson and Infosys. He has spent his entire career in selling wide-scale, high technology products to large enterprises with complex decision making.
Senior Data Analyst
As a Data Analyst, the primary responsibility will be to interpret data and turn it into information which can offer ways to improve the product development. Data analyst will be required to gather information and interpret patterns and trends. They will be working on different hypotheses that the company has and will look to uncover what the data says with respect to those hypotheses. The person will be responsible for helping with data driven decisions in the company.
Your key object would be to own and manage the data for the Agara product development.
This is a great role if you are
A self-starter and creative with problem solving. You love working with the internal stakeholders and find the right solutions for their opportunities and risks
Professional and straightforward in data management. You can earn their trust, manage it and deliver against it.
Driven by numbers and presentations Your responsibilities will include
Collecting and interpreting data - Extraction and presentation of data in the required format - extraction from SQL/analytics tool/any other source
Reporting the results back to the technical team.
Identifying patterns and trends in data sets - Identify any signals from the data.
Given a hypothesis, analyze the data to see if the hypothesis holds true
You’ll be ideal for this role if you have...
Significant experience (5-7 years) in data analytics for a high-volume data company.
Some prior experience of working in the enterprise product companies (preferably SaaS)
Proficient in SQL
Data processing, data cleaning, and data analysis Prior experience of data analysis.
Proficient in any of this analytics tool- R/SAS/Python
Proficient in Excel