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Brain Computer Interface Product Manager Jobs (NOW HIRING)

Dell Medical School

Research Associate II

Austin, TX · On-site

$47K/yr

Design and independently conduct brain-computer interface (BCI) experiments. * Collect ... management by preparing documentation, coordinating with IRB representatives, and ensuring timely ...

Neuralink

Neuroengineer, Next Gen

Austin, TX

The Next Gen team at Neuralink is developing the next generation of brain-computer interfaces. We ... future products. As a Neuroengineer on this team, you will contribute across a wide range of ...

Front Door Defense

Software Engineer

Oakland, CA · On-site

$125 - $150/hr

Software Engineer Own the software stack for real-time brain-computer interface data decoding ... Experience working on projects involving quality management systems, such as medical device ...

Neurable, INC

Software Developer

Cambridge, MA · On-site

Company Description Neurable is a funded brain-computer interface (BCI) startup spun out of the University of Michigan's Direct to Brain Interface Laboratory (UM-DBI); our technology, an artificial ...

Neurable, INC

Software Developer

Cambridge, MA · On-site

Company Description Neurable is a funded brain-computer interface (BCI) startup spun out of the University of Michigan's Direct to Brain Interface Laboratory (UM-DBI); our technology, an artificial ...

Neara

Senior Quality Reliability Engineer

Addison, TX · On-site

$125 - $150/hr

... to lead production quality for the microfabrication of our Class III brain-computer interface ... The Senior Quality Engineer reports to Sr. Quality Manager and works cross‑functionally with R&D ...

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Brain Computer Interface Product Manager information

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$51.5K

$159.4K

$197K

How much do brain computer interface product manager jobs pay per year?

As of Sep 9, 2026, the average yearly pay for brain computer interface product manager in the United States is $159,405.00, according to ZipRecruiter salary data. Most workers in this role earn between $141,000.00 and $197,000.00 per year, depending on experience, location, and employer.

What does a brain computer interface product manager do?

A Brain Computer Interface (BCI) Product Manager oversees the development, launch, and lifecycle of products that facilitate direct communication between the brain and external devices. They work closely with engineering, neuroscience, design, and marketing teams to define product requirements, create roadmaps, and ensure the product meets both user needs and regulatory standards. Their responsibilities also include conducting market research, gathering user feedback, and prioritizing features to align with business goals. Ultimately, they bridge the gap between technical teams and stakeholders to deliver innovative BCI solutions.

What are the key skills and qualifications needed to thrive as a brain computer interface product manager?

To thrive as a Brain Computer Interface (BCI) Product Manager, you need a strong background in neuroscience, engineering, or computer science, coupled with experience in product management and knowledge of BCI technologies. Familiarity with technical tools such as brain signal acquisition systems, machine learning platforms, and regulatory compliance processes is typically required. Exceptional communication, problem-solving, and cross-functional leadership skills help bridge the gap between technical teams, clinicians, and end-users. These skills are crucial for guiding innovative BCI products from concept to market while ensuring they meet user needs and regulatory standards.

What are some unique challenges faced by brain computer interface product managers during product development?

Brain Computer Interface (BCI) Product Managers often navigate unique challenges such as bridging the gap between advanced neuroscience research and practical, user-friendly products. They must coordinate interdisciplinary teams including neuroscientists, engineers, and UX designers, ensuring clear communication and alignment of goals. Regulatory compliance and ethical considerations are also critical, given the sensitive nature of brain data. Additionally, BCI Product Managers need to stay updated on rapid technological advancements to maintain a competitive edge and ensure product viability.

What are popular job titles related to Brain Computer Interface Product Manager jobs?

For Brain Computer Interface Product Manager jobs, the most frequently searched job titles are:

Research Engineer - Brain Computer Interface Models

San Francisco, CA • On-site

Zyphra
See more jobs at Zyphraexternal

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 26 days ago

Job description

Zyphra is an artificial intelligence company based in San Francisco, California. The Role:

As a Research Engineer - Brain Computer Interface Models, you will be a core contributor to Zyphra’s BCI work, building the next generation of open-source EEG and brain–computer interface models. You will be involved across the full model lifecycle, from data collection and preprocessing to designing novel architectures and training methodologies.

You’ll Work Across:

  • Large-scale EEG model training runs and evaluation

  • Architecture and training methodology ablations and innovations

  • Dataset collection and preprocessing for EEG and other BCI modalities

  • Performance optimization of the training stack

  • Integration of models into real-world BCI applications

What We're Looking For / Requirements:

  • Organized, methodical researcher who can take ownership of a project component, communicate their process clearly, and deliver a working module

  • Excellent communication and collaboration skills, with clean and concise coding practices

  • Strong implementation and prototyping skills, with comfort working across both research and engineering at scale

  • Ability to learn new domains quickly, orient oneself in the academic literature, and implement new ideas, creatively borrowing concepts from other modalities and applying them to EEG domain

  • Interest in neural data such as EEG, MEG, fMRI as well as building foundation models in a much less explored space

  • Proficiency with PyTorch and Python

Qualifications / Additional Skills:

  • Experience with VAEs, GANs, diffusion models, and contrastive learning

  • Familiarity with signal processing (especially for EEG) and time-series analysis

  • Experience training on large-scale (multi-node) GPU clusters

  • Experience contributing to large existing codebases and ramping up quickly

  • Previously published machine learning research in well-respected venues

Why Work at Zyphra:

  • Our research methodology is grounded in methodical, step-by-step approaches to ambitious goals. Both deep research and engineering excellence are equally valued

  • We strongly value new and crazy ideas and are very willing to bet big on new ideas

  • We move as quickly as we can; we aim to minimize the bar to impact as low as possible

  • We all enjoy what we do and love discussing AI

Benefits and Perks:

  • Comprehensive medical, dental, vision, and FSA plans

  • Competitive compensation and 401(k) plan

  • Relocation and immigration support on a case-by-case basis

  • In-office snacks and meals provided

  • Unlimited PTO and company holidays

  • In-person team in San Francisco with a collaborative, high-energy environment