Data Science problems are everywhere, but the talent is not. At Obviously AI, our vision is to turn every company into an AI company. We do this by providing businesses with access to world class, on-demand data science talent that helps them solve real business problems. On the back end, we empower data scientists with a set of internal groundbreaking tools to help them deliver results in minutes, not months.
We’re a small, scrappy group of people with a strong bent toward failing fast, bias for action and attention to detail. We’re focused on doing the best work of our lives and believe in having a healthy separation of work and play. We keep working hours flexible and are building a hybrid team with most of us located in San Francisco, USA and Bangalore, India.
Obviously AI is backed by some of the top venture capital firms in the US, and you’ll be on the ground floor of a fast-growing company with a big mission.
About You
As a customer success manager at Obviously AI, you will be on the ground floor of an incredible opportunity to pair your creativity and empathy for the users into a meaningful experience for them. You will also need to use your analytical skills to better understand and rank the health of customers as you interact with them.
Our ideal candidate for this role is someone who loves talking to customers, has a good technical understanding of AI, and has a proven track record in customer success, consulting or sales engineering roles. You are also someone who really wants to get your hands dirty in a small, scrappy team. You should be excited about the idea of solving different challenges everyday, specially ones where you have to communicate a complex product in a simple way to end users.
You'll report directly to the founders, you'll be a key proponent of Obviously AI’s early success and have the equity (aka. "skin in the game") to make it worthwhile.
Here are some other qualities we’re looking for in a perfect hire:
You are not afraid of failure
You can think out of the box and try new things that have never been done before
You are a clear and creative thinker with excellent written and verbal communication skills
You can creatively articulate complicated concepts in layman terms.
You are empathetic towards customers and their needs
You have the analytical skills to build a support strategy, leading customers to success
You love machine learning and data science, and are always up to speed with the latest developments in the space.
You possess the personality to easily connect and become familiar with new people
You work collaboratively but autonomously: asking for what you need, but not expecting micromanagement
You like processes and want to help build it, but you're also OK with the "organized chaos" of a small team
You're excited to build a career at an energetic startup, with an eagerness to learn and develop your skill set across a wide range of activities
You're comfortable communicating new ideas and experimenting without fear of failure
You're able to pick up new skills quickly, and adapt well to feedback on your work
Responsibilities
Manage the customer lifecycle post-sales, ensuring that every client gets the most support they need to succeed, right away
Offer technical assistance to customers by explaining complex Machine Learning concepts in a simple manner
Help customers with questions or concerns regarding Obviously AI’s software, troubleshooting any issues that may arise or often explaining to them a plan of action that technical data scientists may find hard to communicate
Build and maintain strong relationships with our diverse clientele, providing them with regular updates, and acting as their advocate within the company
Conduct product demonstrations and trainings to clients, ensuring they understand how to best utilize our tool to meet their business objectives
Collaborate closely with our sales and engineering teams to provide feedback, and identify areas where we can improve our product and services based on customer interactions
Requirements
Bachelor’s degree in Entrepreneurship, Business, or a related field
3-5 years of experience in customer success, consulting or sales engineering roles; with a proven track record of driving measurable results
Strong experience with customer support tools such as Intercom, Zendesk, etc
Experience working with teammates across different time zones
Strong written and verbal communication skills in English - knowing when to be concise and clear and knowing when to expand an elaborate
Experience and deep understanding of Machine Learning and AI technologies
Ability to easily explain complex technology and ideas in simple layman language (Important)
Ability to think spontaneously on the spot
An autonomous, independent, and collaborative work ethic and style
Bonus
Experience working with small (Series A to Series C) startups
Experience working on a data science or AI product
Experience working on a self-serve, product-led SaaS product