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11 Key SaaS Roles and Responsibilities in 2023

Userpilot

Chief Technical Officer The CTO is responsible for outlining the company’s technological vision, implementing technology strategies, and ensuring that the technological resources are aligned with the company’s business needs. Much of the success here depends on how competent and motivated the CTO and their team is.

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33 Amazing Articles Every Product Manager Must Read

Hutwork

The data backs it up. You also need to name KPIs for product people. Chris Butler , Director of AI at Philosophie NYC , lists out the proper KPIs for product managers and what makes up a “good” KPI. #15 26 Provide Insights, Not Data. As a successful product manager reading is a must.

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Finding Your True Career IMPACT Within the Product Field

ProductPlan

Some view Product as an equal peer to Marketing, Sales, and Engineering, while others tuck it away under a VP of Product Marketing or a CTO. Are you a great mentor or a devoted protégé? Did you slice and dice the data and create dazzling visuals or unignorable metrics that won people over? Are they mentioning customers and data?

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Episode Two: Pulse Everywhere Session Recaps and Takeaways from Day Two

Gainsight

How clean is your data? Next, is the backbone of your CS operations: access to accurate data, consistent processes, the right tech stack, and a feedback loop. But overall, having an interest in data and technology is key, after all, understanding data is fundamental to the job! Complex and fast?

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Q&A with Neil Rahilly, VP Product and Design, on product strategy, team composition, and customer feedback

Mixpanel

They’re split into four groups: analysis, data, admin and growth. And then there’s about a third in data and then admin and growth are smaller teams. The data team is focused on getting data in and out of Mixpanel, and integration, and data trust. And they’re not all the same size.

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Q&A with Neil Rahilly, VP Product and Design, on product strategy, team composition, and customer feedback

Mixpanel

They’re split into four groups: analysis, data, admin and growth. And then there’s about a third in data and then admin and growth are smaller teams. The data team is focused on getting data in and out of Mixepanel, and integration, and data trust. And they’re not all the same size.