Manager of Algorithms and Machine Learning | Beacon Biosignals · Teeming.ai
Beacon Biosignals
Beacon Biosignals is an AI-driven neurotechnology company focused on accelerating drug development for neurological and psychiatric conditions. Their end-to-end platform utilizes FDA-cleared EEG…
Beacon Biosignals is an AI-driven neurotechnology company focused on accelerating drug development for neurological and psychiatric conditions. Their end-to-end platform utilizes FDA-cleared EEG…
What they do: AI-driven neurotechnology: FDA-cleared EEG headbands, cloud datastore, and analytics for biomarkers and clinical-trial support
Founded: 2019
Headquarters: Boston (evidence indicates Boston-based)
Recent financing: Series B upsized to over $97M; cumulative funding reported >$132M
Company Overview
Problem Domain
Neurological, psychiatric, and sleep disorders; translational research and clinical-trial biomarker development
Founded
2019
Industry
Software Development
Tech Stack
Cloud datastore
Wearable EEG hardware
AI/ML analytics
Mobile/web-compatible interfaces
Funding Track Record
Series B- 2025-11-13
$86,000,000
Announced $86M Series B (later upsized)
Series B (upsized)- 2026-04-06
over $97,000,000
Upsized Series B bringing the round to over $97M and cumulative funding to over $132M
Prior rounds
General Catalyst listed as lead investor on an earlier round (Series A referenced in records)
Investor Signal
“Syndicate includes Innoviva, GV (Google Ventures), S32 (Sanofi Ventures), Catalio Capital Management, General Catalyst, Logos Capital, Casdin Capital, and others”
Founders
What we do
Join the Team
Manager of Algorithms and Machine Learning
On-SiteBoston, MA - Remote, FR
On-Site • Boston, MA - Remote, FR
Startup jobs. A lot of them.
Your next opportunity is in here somewhere. Sign up to explore 52,000+ startups and their open roles. No spam. No gamification. Just jobs.
In this role, you will lead a team of 5-7 engineers and be accountable for the team’s execution, health, and results. You will partner closely with technical and cross-functional stakeholders to translate company priorities into a clear roadmap, sound technical decisions, and strong team performance. This role reports to the Algorithms Senior Manager
Lead a high-performing Algorithms group through hiring, coaching, performance management, and clear expectations around ownership and impact
Be accountable for the team’s delivery against goals, ensuring alignment with Beacon’s strategy, regulatory requirements, and quality standards
Support engineer in making technical decisions across model development, biomarker pipelines, evaluation, and production systems, supporting the team in making sound tradeoffs
Help your team scope out and prioritize tactical week-to-week work in direct connection with Beacon’s wider strategic initiatives
Ensure your team’s development roadmap is outcome-oriented, up-to-date, aligned with the company’s objectives and other teams’ priorities, and communicated effectively to other stakeholders within Beacon
Own project management responsibilities for team initiatives, including defining scope, managing timelines, and ensuring expectations are set both internally and externally
Develop, refine, and own team-based processes that allow for efficient execution, communication, and coordination- You are expected to bring sufficient technical depth in machine learning and algorithm development to evaluate approaches, guide tradeoffs, identify risks, and support high-quality decisions
At Beacon, cultural and scientific impact comes from people who lead by example. We look for colleagues whose work reflects curiosity, sound judgment, a bias toward simplicity, a self-service mindset, and deep empathy for teammates, stakeholders, users, and patients. We believe diverse teams build more robust systems and achieve higher impact
Proven ability to lead teams through technically complex, ambiguous work with cross-functional dependencies, balancing short-term delivery with longer-term capability building
Experience managing a mid-sized ML or algorithm engineering team, with a track record of coaching, hiring, and growing individuals across levels while maintaining strong team health and accountability
A bias toward simplicity, with the ability to introduce the right level of process, avoid unnecessary complexity, and continuously improve how the team works
Strong communication and stakeholder management skills, with the ability to align partners around decisions, tradeoffs, and evolving plans, including in regulated or quality-sensitive environments
Experience operating within established frameworks and improving team-level ways of working, including prioritization, planning, and execution, while pragmatically addressing delivery friction and scaling challenges
Experience developing ML or algorithmic systems in regulated domains, with familiarity in regulatory submissions, including validation, reproducibility, documentation, and model governance requirements
A strong depth of knowledge in algorithm/ML-model development, deploying production-ready ML systems, and model-maintenance to assess approaches, guide tradeoffs, and make sound decisions
