Great Employer - Recensione dipendente - Process Engineer presso Genentech

4,0
11 lug 2008
Consiglia
Gradimento del CEO
Pronostico commerciale

Vantaggi

Genentech has a great location on the Bay, so you have a great view from your office. It's a great employer if you have a family, providing nice benefits including support for commuting, day care, etc. They're #2 (behind Google) on nicest places to work for a reason. There are lots of morale events for employees, and the management is pretty open. And then there's the satisfaction of helping developing life-saving drugs, and the feeling on having an impact on people's lives. As a company, Genentech has science at it's core, and is definitely driven by the research department. The company does good science, so if you work in research, it can be very rewarding.

Svantaggi

Genentech's campus is far away from everything, so commuting can be a problem. There is somewhat of an academic, laid-back culture, so it's slow-moving compared to the rest of corporate America. If you're not in Research or Business Development, you might be a little frustrated. Those are the two groups that drive the company. Yes, there's a lot of spending on sales, marketing, and manufacturing, but that's mostly going through the motions. If you really want to have an impact at Genentech, you should be in Research or BD.

Esplora altre recensioni su Genentech

5,0
6 giu 2026
Consiglia
Gradimento del CEO
Pronostico commerciale

Vantaggi

Great salary and team! The interview process was smooth and effective.

Svantaggi

To be determined, but so far many alignment meetings. Some folks have frustuations around the re-org and strategy changes.

3,0
7 mag 2026
Consiglia
Gradimento del CEO
Pronostico commerciale

Vantaggi

Genentech's origin story and mission are genuinely inspiring — few companies can point to such a meaningful historical arc in medicine. Patient engagement is taken seriously and feels authentic, not performative. The campus is beautiful and the culture has real warmth.

Svantaggi

DDA is operating with significant gaps. First, the foundational data infrastructure is not mature enough to support the ambitions being set for the team. Second, the measurement culture has gotten ahead of the methodology, and no one in a position of authority seems to be asking hard questions about whether the numbers actually mean what they're being presented as meaning. Third, some management feel disconnected from the work itself, lacking the knowledge, hands-on experience, or relevant credentials. Individually any one of these would be manageable. Together these create an environment where it's hard to do rigorous work, rather work is performative, and be recognized for it.

3
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