Beacon Biosignals

Revenue Operations

• Be the primary steward of our GTM tech stack (CRM, engagement, analytics) — architect, document, and evolve how the tools fit together. Maintain integration hygiene and system reliability.
• Design, prototype, and scale automation and AI-enabled workflows across demand, pipeline acceleration, expansion, and retention motions (e.g. signal-based triggers, account enrichment, proactive play sequencing).
• Build dashboards, attribution frameworks, executive reporting, and pipeline analytics. Support targeted top of funnel activities by leveraging tools that drive demand generation, and use customer data to generate foresight and actionable recommendations for closing deals and expanding accounts in a B2B context.
• Create data models (scoring, propensity) and translate them into operational workflows. Promote a data-first mindset in all GTM motions.
• Serve as the bridge between commercial teams and technology — help non-technical stakeholders adopt, understand, and extend our GTM systems.
• Partner with BD, Finance, and legal to support the systems that track deals, contracts, PO/invoicing, revenue recognition, renewals, and billing flows.
• Embed commercial systems into program management and clinical trial delivery — e.g. contract tracking, handoff workflows, reporting flows, coordination between commercial & clinical teams.
• Continuously scan for bottlenecks and friction in how we operate. Own diagnostic sprints, build pilots, and iterate on workflows that drive impact.

Senior Go-To-Market Engineer, Revenue Operations Manager

Full-stack Engineer

• Develop, deploy and monitor feature computation and analytics services that transform raw biosignal data, machine learning outputs, and clinical metadata to generate meaningful scientific results
• Build high-quality composable tooling that enables data scientists to deliver scientific results at scale
• Transform custom or semi-standardized data workflows into reusable tools and automated products that power clinical diagnostics and trials
• Design, implement, and maintain versioned data models and transformations that enrich biosignal metrics with clinical context
• Contribute to reusable, scalable customer-facing analytics products, such as automated scientific reports, dashboards and purpose-specific dataset views
• Collaborate closely with teams of engineers, data scientists, and neuroscientists to understand workflow pain-points and inefficiencies that can be resolved with tooling and processes improvements
• Partner with scientists, product managers, and stakeholders to identify high-impact analytics improvements that accelerate development of novel therapies and diagnostic tools

Software Engineer – Analytics

DevOps Engineer

• Design and implement infrastructure as code solutions that improve reliability, security, and maintainability of our cloud infrastructure
• Lead and execute major infrastructure initiatives including cluster upgrades, security improvements, and architectural changes
• Develop and maintain CI/CD pipelines that enable teams to deploy safely and efficiently
• Improve observability across our systems through enhanced monitoring, logging, and alerting
• Participate in an on-call rotation and lead incident response efforts when issues arise
• Collaborate with development teams to improve application reliability and performance
• Maintain and enhance our security posture through infrastructure hardening and automation
• Create and maintain documentation for infrastructure, deployment processes, and incident response procedures

Site Reliability Engineer

Hardware Engineer

• Focus on delivering high-quality, reliable products
• Collaborate with cross-functional teams across design, research, manufacturing and quality throughout the full product lifecycle
• Perform testing to verify that the product meets its intended design requirements
• Document design in accordance with applicable product development processes, Quality, and Regulatory requirements

Firmware Engineer

Clinical Research

• Lead and support the development of statistical analysis plans for clinical trials in collaboration with internal subject matter experts and external stakeholders.
• Perform power and sample size calculations that ensure our and our partners' studies are powered appropriately to measure meaningful effects on the brain.
• Deliver clear and impactful presentations and data visualizations to varied audiences, both internal and external.
• Lead and support the scientific and technical aspects of multiple concurrent studies, including timeline estimation, task delegation, timely execution, and stakeholder communication.
• Engage with external stakeholders to align their needs with internal capabilities and capacities to ensure analyses bring maximal value while remaining operationally feasible.
• Contribute to group-level processes and procedures to help make projects run more smoothly and efficiently.
• Co-author scientific reports whose impact pushes the field past contemporary limitations.
• Write and review reusable, documented, tested code that produces polished, high quality analytical results for our partners and powers our core computational pipelines.
• Leverage Beacon's products and your own subject matter expertise to inform analysis planning and execution.
• Dig into large, messy, unfamiliar datasets, document their idiosyncrasies and provenance, and harmonize them with Beacon's datastore.

Senior Go-To-Market Engineer, Revenue Operations Manager

Software Engineer – Analytics

Site Reliability Engineer

Firmware Engineer

Senior Biostatistician