Forward Deployed Engineer, Beacon Biosignals
$170-190k
+ Equity
AI brain monitoring
Be an early applicant
AI brain monitoring
21-100 employees
Be an early applicant
$170-190k
+ Equity
21-100 employees
Company mission
To improve human health by enabling rapid, targeted interventions through advanced brain analytics.
Role
Who you are
- 8+ years of experience in data engineering, analytics engineering, or backend software engineering roles with significant exposure to data platforms
- 3+ years in a customer-facing role, developing and managing customer relationships
- Strong proficiency in SQL, with hands-on experience designing and maintaining analytical or operational data models
- Experience working directly with customers or external stakeholders to solve data-related problems, including requirements gathering, solution design, and delivery
- Comfort operating across the stack—from querying and modeling data to writing application or integration code as needed
- Experience in a data-oriented programming language such as Python, Julia, or R
- Familiarity with APIs and data integration patterns (GraphQL or REST, batch exports and ELT/ETL, event sourcing, and the like)
- Experience with modern analytics and BI tools such as Snowflake, Superset, Looker, or similar platforms
- Excellent written and verbal communication skills, with the ability to explain technical concepts clearly to both technical and non-technical audiences
- A collaborative, customer-oriented mindset — you enjoy partnering across teams and organizations to solve real problems
What the job involves
- Beacon Biosignals is seeking a Forward Deployed Engineer to join our Datastore team
- The Datastore sits at the heart of Beacon’s platform, defining our foundational data model and serving as the centralized repository and API for brain data collected from clinical studies and home sleep tests
- As we expand our partnerships and real-world data integrations, we are looking for an engineer who thrives at the intersection of data platforms, customer needs, and applied problem solving
- In this role, you will work directly with Beacon’s external partners to understand their technical use cases, guide integrations with our APIs and datasets, and develop integrated solutions that enable them to unlock value from Beacon’s data platform
- Internally, you will collaborate closely with Datastore engineers, product managers, and scientific teams to translate partner needs into robust data models, tools, and workflows, and to improve our ability to troubleshoot and resolve client issues at scale
- This role emphasizes deploying and extending Beacon’s data platform in real-world contexts, rather than building core infrastructure from scratch
- You will develop PoCs and production-ready code, build analyses and dashboards, and create integration tooling that helps partners succeed with Beacon’s data
- This position is based in the Boston area to support regular onsite customer engagement and close partnership with our Boston-based team
- You work directly with external partners and customers to understand their data needs, analytical workflows, and technical constraints, and translate those into concrete solutions built on Beacon’s Datastore
- You lead technical conversations with partner engineers and data teams, supporting API integrations, successful adoption of data access patterns and practices, and downstream analytics
- You design and implement solutions for customers, sometimes on the Beacon platform and sometimes on the customer’s platform, to kickstart and expedite integration and provide examples that showcase and validate Beacon’s data
- You collaborate with the rest of the Datastore team to develop internal tools, queries, and workflows that improve observability, troubleshooting, and resolution of client data issues
- You leverage feedback from partners and internal stakeholders to improve documentation, APIs, data models, and operational processes
- You are comfortable with ambiguity and balance pragmatism with rigor, delivering solutions quickly while maintaining high standards for data integrity, correctness, and maintainability
Our take
The brain has long been considered one of the most mysterious fields of medicine - and psychiatric and neurological diseases therefore one of the least understood. Better access to real-time brain data, however, could change this. That’s exactly what Beacon Biosignals is hoping to deliver.
Beacon Biosignals has developed a scalable electroencephalogram (EEG) analytics platform that leverages AI to more accurately and insightfully manage brain data. Its capabilities run from analysing existing data, to identifying and standardising neorobiomarkers, to continuously aggregating and analysing trial data.
The hope is that this will help clinical brain researchers carry out faster and more accurate work, ultimately accelerating the pace of treatment development in neurology. It’s a smart new AI application, and Beacon Biosignals is acquiring new companies to scale and receiving handsome funding - but for that reason the company isn’t alone in pursuing it. Bitbrain is also developing neurology AI, although with a tighter focus on product development. This may help differentiate Beacon Biosignals in what is still a relatively new market area.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
40% employee growth in 12 months
Company
Funding (last 2 of 4 rounds)
Nov 2025
$86m
SERIES B
Nov 2021
$27m
SERIES A
Total funding: $116.5m
Company HQ
Beacon Hill, Boston, MA
Leadership
Jarrett Revels
(Co-Founder & CTO)Previously a Software Engineer at MissionFocus, who then moved into various engineering and research roles at MIT.
Jacob Donoghue
(Co-Founder & CEO)Completed a Neuroscience PhD at MIT, and received his MD from Harvard Medical School. Subsequently carried out research for Cyberkinetics Neurotechnology Systems and Massachusetts General Hospital.
Brandon Westover
(Co-Founder)Received his MD from Washington University School of Medicine, then took up a Neurology residency at Harvard Medical School. Alongside his work at Beacon Biosignals, is also an HST Faculty member at MIT and a Neurologist/Medical AI Researcher at Massachusetts General Hospital.
Syd Cash
(Co-Founder)An Associate Professor at Harvard Medical School, who also leads the Center for Neurotechnology and Neurorecovery at MGH.
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