
11 - 50 employees
⚕️ Healthcare Insurance
📡 Telecommunications
📚 Education
💰 $11M Series A on 2023-02
Healthcare Insurance • Telecommunications • Education
AnswersNow is a company dedicated to providing virtual autism support for families everywhere. They offer ABA therapy on an engaging virtual platform, aiming to make support accessible without a waitlist, and they work with all major insurance carriers including Medicaid. The company tailors their evidence-based care to address the specific needs and priorities of each family. Their team includes board-certified behavior analysts (BCBAs) with extensive training, who provide one-on-one expert support through their proprietary digital platform, allowing for therapy sessions to be conducted in a family-friendly environment. AnswersNow's mission is to empower families with flexible, quality care and to make the world more inclusive for individuals with autism.
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11 - 50 employees
⚕️ Healthcare Insurance
📡 Telecommunications
📚 Education
💰 $11M Series A on 2023-02
Healthcare Insurance • Telecommunications • Education
AnswersNow is a company dedicated to providing virtual autism support for families everywhere. They offer ABA therapy on an engaging virtual platform, aiming to make support accessible without a waitlist, and they work with all major insurance carriers including Medicaid. The company tailors their evidence-based care to address the specific needs and priorities of each family. Their team includes board-certified behavior analysts (BCBAs) with extensive training, who provide one-on-one expert support through their proprietary digital platform, allowing for therapy sessions to be conducted in a family-friendly environment. AnswersNow's mission is to empower families with flexible, quality care and to make the world more inclusive for individuals with autism.
• Own and evolve the architecture of our core platform: React frontend, Node.js/Express APIs, Postgres, and AWS ECS infrastructure • Drive our JavaScript → TypeScript migration, establishing patterns, tooling, and standards the team can follow • Design and extend our ETL pipeline and config-driven AI integration framework, enabling engineers to ship AI-powered features faster and more reliably • Lead technical design reviews, create architecture decision records (ADRs), and ensure engineering decisions are documented and defensible • Identify and resolve systemic technical debt — not just flagging it, but owning the plan to address it • Define and execute the technical strategy for integrating ML/AI models into our core platform, ensuring scalability, performance, and reliability. • Mentor engineers across all levels — pair, review, coach, and grow the team's collective capability • Establish and maintain engineering standards: code quality, testing practices, observability, on-call runbooks, and incident response • Serve as a technical resource and thought partner for product, clinical, and business stakeholders • Help define the engineering hiring bar and participate in the interview process • Partner with engineering leadership and product to scope, sequence, and de-risk large technical initiatives • Lead by example on production support — define runbooks, own post-mortems, and drive systemic fixes from incidents • Work across UI, API, DB, and infrastructure layers with genuine depth in at least two
• 8+ years of professional software engineering experience, with at least 3 years in a senior or staff-level role • Deep expertise in JavaScript and TypeScript in a production full-stack environment • Strong command of React, Node.js/Express, and Postgres — you can reason about performance, reliability, and maintainability at each layer • Proven experience designing and owning distributed systems or data pipeline architectures on AWS (ECS, RDS, S3, Lambda experience valued) • Track record of technical mentorship — you've made engineers around you measurably better • Excellent written and verbal communication; you can write an architecture doc, run a design review, and brief a non-technical executive in the same day • Experience working in or leading engineering at a growth-stage startup — you understand the balance between velocity and sustainability • Familiarity with ETL pipelines, AI/LLM integration patterns, or data-intensive systems is a strong plus • Significant experience architecting and deploying production-grade ML/AI systems, including LLM integration and model lifecycle management.
• Fully remote – work from anywhere in the U.S. • Flexible hours with an async-friendly team culture
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