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Can Jellyfish Become The “Salesforce” Of Engineering Management Software?

Forbes Leadership

Founded in 2017 by Philip Braden, David Gourley and Andrew Lau, the Boston-based Jellyfish assesses contextual business data and engineering signals to offer full visibility into how engineering organizations work and operate.

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Revamping engineering manager onboarding at Asana

Asana

An engineering manager’s success impacts an entire team or group of teams, so setting them up for early success is a high-leverage investment. For most of Asana’s existence, “engineering manager (EM) onboarding” meant attending general engineering onboarding. Our mission & goals for onboarding.

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Grow your leadership impact as a Tech Lead or Engineering Manager

Asana

We’ve reached a new chapter in our R&D organization – hiring and onboarding more engineering leaders than ever before. All development teams at Asana have a single Engineering Manager (EM) , who is accountable (1) for program success. This guidance is complementary to our engineering career levels guide (our “Success Guide”).

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When It Comes to Long-Term Value, Incumbents Should Think Like Digital Disruptors

Harvard Business Review

While digital disruptors have pioneered this approach, established companies are actually often better positioned to take advantage of this “digital growth engine” because they have one thing startups lack: customers. 5) Launch a data and AI-enabled omnichannel customer outreach program, and 6) Transform KPIs, structure, and incentives.

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5 Reasons Why Startups Should Hire a Data Engineer Instead of a Data Scientist

Sweet Process

Data engineer vs data scientist: who should you hire? Improving data analytics can potentially increase a company’s operating margins by over 60%. The post 5 Reasons Why Startups Should Hire a Data Engineer Instead of a Data Scientist appeared first on SweetProcess.

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How to Implement AI — Responsibly

Harvard Business Review

They determined that, although data engineers and data scientists typically take on most responsibility from conception to production of AI development lifecycles, non-technical leaders can play a key role in ensuring the integration of responsible AI.

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How to Get Results Quickly After a Merger or Acquisition

Harvard Business Review

But compared to other areas of post-merger activity, the commercial engine starts late, operates uncertainly, and often runs out of gas before reaching its goals.