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Mergers & Acquisitions in Product Management: How to Navigate Growth & Integration

Productside

From surfacing hidden landmines during due diligence to bringing entire product orgs under one cohesive vision, Brians got the battle scarsand the winsto prove it. Below, well unpack his real-world advice on making acquisitions work, retaining your best people, and aligning tech stacks for a post-merger world that actually innovates.

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Scaling a Product Organization

The Product Guy

Challenges due to hypergrowth. Onboarding: A huge number of hirings, from C-Level to PMs and Tech lead Process-oriented, not mission, not goals Purpose lost: make new employees impact the team as soon as possible No feedback-loop with new employees. Regarding continuous delivery: Very technical focus (e.g. Next steps.

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Core responsibility: How we scaled our core technologies team

Intercom, Inc.

It’s a familiar problem for all companies that scale fast – how do you keep your core technologies manageable for the increasing number of teams that depend on them? This surfaced as an increasingly large percentage of our product teams’ time being spent on operations or deep diving into understanding our small set of core technologies.

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Understanding Product Management

The Product Guy

Relative to other standard roles defined in an organization such as Ops, Marketing, Tech etc., Often, this is due to resource constraints rather than a lack of understanding of a PM role. Often, this is due to resource constraints rather than a lack of understanding of a PM role. Data vs Intuition.

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Product Managers and Technical Skills: What’s the Deal?

The Product Coalition

We’re well overdue a conversation about Product Managers and technical skills. And yet…we all seem to stay hung up on technical skills. Here we’re going into asking the age-old question: do Product Managers need technical skills? Why does learning new tech skills feel like such an insurmountable challenge?

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520: The future of AI in product management – with Mike Todasco

Product Innovation Educators

He explains that while AI might help teams get their product into a better place before customer testing, it’s important to remember that AI models are trained on internet data, not real customer thoughts and behaviors. However, Mike strongly emphasizes that this approach should never replace actual customer research.

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Tools of the Trade: A Look at Pendo’s Discovery Tech Stack

Product Talk

It’s not about finding the right tech stack; it’s about finding the tech stack that works for your team. When it comes to the tools that support your continuous discovery, it’s not about finding the right tech stack. It’s about finding the tech stack that works for your team. Tweet This.