CoMind is revolutionising brain healthcare with its non-invasive technology, redefining how the brain is measured and treated to optimise patient outcomes across the care continuum. Based in London, CoMind designs and manufactures a groundbreaking approach to brain monitoring, which provides a multidimensional view of brain activity using light. It enhances patient safety, improves healthcare economics, and improves clinical outcomes. Their AI-powered platform, CoVision, delivers predictive insights, enabling clinicians to anticipate complications. With a focus on precision medicine, CoMind is setting new standards in brain health, from intensive care to surgeries to the emergency room.
CoMind is backed by leading investors such as Octopus Ventures, LocalGlobe, Angelini Ventures and Crane Venture Partners, alongside several high profile angel investors. We are currently hiring for multiple roles: https://comind.jobs.personio.com/.
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Pros: The hybrid work model in London is great, offering flexibility that balances office collaboration with remote focus. My colleagues are smart and supportive, making day-to-day tasks engaging. There are interesting projects in the AI industry, and CoMind does invest in training, which is a big plus for career growth. The atmosphere is usually quite positive, fostering a good team spirit.
Cons: Sometimes project deadlines feel a bit ambitious, leading to occasional crunch times. Communication on strategic direction could also be clearer from senior leadership, which can impact team alignment. The pay and benefits are decent but not top-tier compared to some other tech companies in the city, especially for specialized roles.
Advice to Management: Consider refining project planning to ensure more predictable workloads. Enhanced transparency on long-term strategy would also boost team morale and focus.
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Pros: They're really good with remote work arrangements. As a Machine Learning Engineer, I can usually work my own hours, which is super helpful. My typical work week runs about 45 hours, but that flexibility makes it manageable.
Cons: Sometimes it feels like there's too much async communication. It's tough to get quick answers, especially in fast-paced AI development. There's less spontaneous collaboration than I'd like to see.
Advice to Management: Try to create more opportunities for synchronous team interaction and quick problem-solving. It would really help with project velocity and team cohesion, especially for remote roles.
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Pros: If you're performing well, you usually feel pretty secure. The company does value good engineering talent, especially in our San Francisco office. Growth in the AI space means project funding generally stays decent.
Cons: Reorgs happen pretty often here, which can make things feel unstable for certain tech roles. They've cut projects quickly before, making you wonder about the long-term for some teams. The hybrid model means you might not always hear the full story right away.
Advice to Management: Try to communicate changes and project shifts more clearly and proactively. It would really help reduce anxiety for employees, especially in a hybrid model.
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What is the day-to-day like for a Category Manager at CoMind, a mid-sized tech company?
As a Category Manager at CoMind, I focus on data analysis and cross-functional team collaboration to drive category growth within our tech products. It involves strategizing with marketing and sales teams in our London office.
What is CoMind's approach to remote work for their software engineering roles in the Bay Area?
CoMind offers a hybrid work model for most positions, including software engineers in the Bay Area, allowing for a mix of in-office and remote days. This approach aims to balance team collaboration with individual flexibility.
What is the day-to-day working culture like at CoMind for a junior data scientist in their London office?
The culture at CoMind is collaborative and focused on continuous learning, which is great for junior roles. Expect a mix of focused individual work and team brainstorming sessions, with opportunities to contribute to impactful projects in the AI sector.
What is CoMind's policy on remote work for their software engineering roles in the San Francisco Bay Area?
CoMind offers a hybrid work model for many positions, including software engineering roles in the Bay Area. Most teams are expected to come into the office a couple of days a week, but this can vary by team and manager discretion. This approach aims to balance flexibility with in-person collaboration.
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