Product Analyst

### About the Company: Verifast is a dynamic and innovative startup at the intersection of AI and E-Commerce located in Bengaluru. We are striving to replicate the shopping experience of a physical store to an online store via AI powered virtual sales agents. Verifast was founded in 2023 by 3 IIT Jodhpur alumni- Tanmay Sethi, Utkarsh Trivedi & Ashutosh Vishwakarma. All of them hold 10 years of diverse experience. Verifast has raised a pre-seed round and works with 100+ Global brands. **What we are doing:** We are building Sales Agents for businesses that can sell better for them on their online stores. Think of the best sales people who meet and greet you when you walk in the store, they help you find the right product and ensure that you buy something. We are trying to create that using Gen AI and conventional ML techniques. These are universal Sales Agents which are learning from thousands of interactions to find how to sell better. **What you will do:** Our clients involve E-commerce businesses. Your role will be to look at how customers interact with these businesses and with our tool. As of Dec 2024 we generate around 10 million data points everyday, so this is the scale we are talking about. The role requires playing around with data and performing experiments in a closed loop. You will be required to understand the product and customer interaction with the product. By making sense of both of these you will find out the cohorts of users that we can target and run experiments. You will be required to run A/B and multivariate testing. You will be required to build and break hypotheses everyday. **Who is the Ideal Candidate:** - Can look at abstract data and generate insights from it. - Can come up with crazy ideas based on the insights - Knows how to run an experiment define success/failure and measure it. (Remember the Chi-Square Distribution from Probability 101?) - Ability to identify important from fluff - **Your day-to-day responsibilities:** - Gather insights from our data analytics tool and figure out Cohorts where we can experiment - Use the features present to execute the experiment and monitor the performance of those experiments. - Providing Data backed requirements for scoping new product features - Designing and executing experiments so as to improve the capabilities of the Sales Agent. **Required Skills and Qualifications:** - Understanding of Python and SQL is a must. You should be able to do json parsing and generate reports using python script. - Basic knowledge of Statistics and Hypothesis Validation. - Knowledge of using Analytics Platforms like- Mixpanel, Google Analytics etc. - Understanding of numbers and its importance for business. - Preferred: 1+ years of experience in Relevant Field. **Benefits:** 1. Rs 8-10 Lakh Cash Component and additional equity aligned with the role’s impact. We have a 6 month appraisal policy, so work hard and grow fast. 2. You will be directly reporting to the founders as well as most of the time working with CXOs externally. 3. Supportive work culture with a focus on innovation and teamwork. 4. Working on and with AI! **Career Progression**- Someone working on this profile gets to understand how AI products work, their constraints and the real-life implementation. The world is going to move from feature-based tooling to impact-based tooling and you will get first-hand experience of it. This experience will position you perfectly for future roles in AI Product Management, AI Strategy, or founding AI-first companies, as the industry shifts from feature-based to impact-driven solutions **What Success Looks Like-** 30 Days- You understand the product that we have, the data that we are generating and what value we add. Finding out the cohorts where experiments can begin. 60 Days- You start running the first set of experiments and start showcasing the value to the team internally and externally. Start designing dashboards and success criteria. 90 Days- Closed loop experiment designing leveraging AI to double down on what is working and finding what is not working. Location - Bangalore **Share one story where you used data and came out with some interesting insight**