About Us
Founded in 2020, Regal is the AI Agent Platform. Regal gives every company the tools to transform customer communications with delightful AI Agents that are connected to your data, easy to customize and monitor, always available, and ready to take action. Power better support, sales, and operations with way less effort. Our founders, Alex Levin and Rebecca Greene, helped build Angi (Angie’s List, HomeAdvisor, and Handy) to over $1.5B in revenue.
Based in Manhattan, we’re building an in-person culture of entrepreneurs who want to win and build something meaningful. We’re backed by top investors, including Founder Collective, Homebrew, and Emergence Capital.
Come join us as we create a category-defining company, and follow Regal’s company page on LinkedIn to stay up-to-date on our journey and current job openings.
About the Role
We’re searching for innovative Software Engineers ready to redefine how businesses connect with customers. At Regal.ai, we empower leading brands in high-consideration industries—think healthcare, financial services, and education—to perfect every customer interaction. Our platform orchestrates personalized outreach across channels like VOIP, SMS, email, and beyond, integrating everything into one seamless, data-rich interface.
We enable scalable, human-like conversations that drive real results by leveraging AI-driven automation, machine learning, and predictive analytics, along with Twilio’s APIs and Regal’s event-streaming architecture. Join us to push boundaries, simplify complex workflows, and craft customer experiences that feel less like technology and more like magic.
Our Stack
- Libraries / Frameworks: React, Nest.js, GraphQL
- Programming Languages: Typescript, Python
- Infrastructure: Postgres, Redis, Kinesis, DynamoDB, AI/ML Pipelines
Responsibilities
- Contribute to Regal’s backend systems and Node-based APIs, executing against our product roadmap and delivering high-quality, scalable systems in collaboration with the Product and Design teams.
- Develop and integrate AI-driven features into our communication workflows, leveraging machine learning for predictive customer engagement and automation.
- Improve the observability and throughput of our Node APIs and services.
- Understand Twilio APIs, AWS services, and AI frameworks that we rely on.
- Write and review RFCs, conduct code reviews, and support code in production.
- Work with Senior and Staff Engineers to improve and implement scalability, maintainability, and performance standards.
- Use platforms like Datadog to instrument and monitor code in production.
- Provide on-call support for the application and work to triage production issues.
About You
- 1+ year of experience working with web technologies, ideally in a high-growth environment.
- Fluent in Node.js with Typescript backends. (Nice to have: Python experience, particularly in AI/ML applications.)
- Experience with AI/ML technologies such as NLP, LLMs, or predictive analytics is a plus.
- Proficient in working with relational databases (e.g., Postgres). (Nice to have: DynamoDB experience.)
- Experience building and scaling systems in production.
- Proactively collaborates with Product and other engineers to deliver complex projects.
- Passionate about code quality, AI-driven solutions, and scalable systems.
- Enthusiastic about the high-impact, fast-paced work environment of an early-stage startup.
- Passion for learning and a deep technical curiosity—constantly improving and eager to fully understand the problems being tackled.
Benefits & Perks
We care about your health
- Medical, dental, and vision plans (80% covered by the company)
- Flexible PTO & 11 paid holidays per year
We care about your future
- 401k plan
- Paid parental leave
- Pre-tax commuter benefits
We care about connection
- In-office breakfast and snacks daily
- Happy hours, team outings, and annual off-sites
- Complete laptop workstation
- More to come!
Salary Range
$100,000 - $120,000 per year
The estimated base salary for this role is provided within this range. All offers include a competitive equity package, and some offers may also include a variable compensation component. Actual compensation is determined on an individualized basis, considering factors such as skills, location, qualifications, experience, and relevant education or training. In addition, Regal.io offers a comprehensive set of employee benefits listed above. Details about the compensation package will be finalized at the time of the offer.
