AMA: DocuSign Senior Director of Product, AI/ML Platform, Deepak Mukunthu on AI Product Management

June 28 @ 10:00AM PST

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DocuSign Senior Director of Product, AI/ML Platform, Deepak Mukunthu on AI Product Management

Top Questions

Hard to notice that Product Management interviews require a ton of practice! Any resources for budding/ aspiring Product Managers ? Alternatively, any platforms that you are aware of, where folks can get Prod Mgmt experience by enrolling in projects?

Deepak Mukunthu

Salesforce Senior Director of Product, Generative AI Platform (Einstein GPT) • June 29

Assuming you are specifically interested in AI product management, I would suggest these approaches to get started with ML. While I was new to ML/AI, these approaches helped me. 1. Online courses 2. Part-time certifications 3. Conferences 4. Kaggle 5. Publish your work 6. Internship/Volunte......Read More

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What are the different types of AI Product Managers. Are we going to see a role that's similar to a Technical Product Manager focused towards the data science team?

My question is more to understand if a PM needs to understand the AI concepts to be a successful AI PM?

Deepak Mukunthu

Salesforce Senior Director of Product, Generative AI Platform (Einstein GPT) • June 29

I have seen 4 different types of AI Product Managers: 1. Product focused: Infuse intelligence into products (e.g., search, personalization) 2. Platform focused: Infrastructure & tooling for data scientists and ML engineers to manager ML lifecycle 3. Business/Operations focused: ML to improve p......Read More

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What are the key traits you look for in hiring AI Product Managers?

Deepak Mukunthu

Salesforce Senior Director of Product, Generative AI Platform (Einstein GPT) • June 29

AI PMs are expected to have a broad understanding of ML lifecycle and knowledge of key ML trends in the industry. Ensure your product management basics are strong: Deep focus on customers, business priority, foster an experimentation culture. In this session, I also covered key traits of successf......Read More

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What metrics do ML product teams look at to define success? Which do you find to be the most important?

Deepak Mukunthu

Salesforce Senior Director of Product, Generative AI Platform (Einstein GPT) • June 29

While working on ML product/feature, there are 2 sets of metrics: 1. Product success metrics that product managers define. Purpose of the is to measure the business/product outcome you are trying to optimize for. Your standard metrics like customer adoption, usage, retention, satisfaction etc. f......Read More

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What level of hard/technical skills should someone aim to develop to thrive as an AI product manager?

Deepak Mukunthu

Salesforce Senior Director of Product, Generative AI Platform (Einstein GPT) • June 29

Broad understanding of ML lifecycle and knowledge of key ML trends in the industry are required to be successful in AI product management role. Beyond this, the level of hard/technical skills required depends on the type of AI product management role - there are 4 different types: 1. Product foc......Read More

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What are the challenges in implementing an ML feature in a product? who takes the decision to determine what type of ML feature would help the product and how to solve the problem related to it? How closely AI PM works with Data scientists?

Deepak Mukunthu

Salesforce Senior Director of Product, Generative AI Platform (Einstein GPT) • June 29

While infusing ML into a product can be extremely powerful to light-up new scenarios for customers and to optimize current scenarios, it can take a lot of effort to get it right. It all starts with defining and prioritizing the right scenario/problem to focus on, working with data science and ML ......Read More

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