Base Salary
$180k - $200k/yr
Responsibilities
- Collaborate with a small engineering team across varied areas of expertise.
- Implement new product functionality end to end in consultation with product managers, including technical planning, progress reporting, testing, and customer validation.
- Work with customer-facing teams and customers to solve unique problems and identify product opportunities.
- Use AI tools such as Cursor and Claude Code to improve engineering efficiency.
- Write performant TypeScript and Python across the technology stack.
- Implement logic for Parabola flow steps and generalize shared logic.
- Optimize services for scalability, stability, and observability as the customer base and product complexity grow.
- Help define engineering processes and practices for long-term growth.
Requirements
- At least 5 years of full-stack software engineering experience in a team-based, high-uptime, continuously delivered codebase.
- Experience with relational databases, REST APIs, and object-oriented programming principles.
- Professional experience working with AI or LLMs, either by building an AI-powered tool or using AI tools to augment work.
- Strong communication, collaboration, self-direction, and commitment to stable, secure, maintainable engineering practices.
- Professional experience with Python, TypeScript, React, Redux, or Node.js is preferred.
- Experience in dynamic, high-growth organizations is preferred.
Benefits
- Hybrid work arrangement requiring approximately three days per week in the San Francisco or New York office.
- Equity and premium health and wellness benefits are included in the total compensation package.
Tech Stack
Categories
About Parabola
Parabola is the AI agent platform for ops and finance teams. You describe your messy, recurring processes (the work that lives in macros, Python scripts, and tribal knowledge today) like reconciliations, carrier billing audits, accruals, inventory checks, and PO matching. Parabola builds the agents that run them on schedule, handle the unstructured inputs (PDFs, screenshots, multi-tab spreadsheets) a human analyst would handle, and show their work at every step. Unlike black-box agents, every decision is inspectable, governable, and audit-ready, so the agent becomes the SOP your team can review, hand off, and update without re-prompting from scratch. Every Parabola engagement includes access to a team of automation engineers, who take learnings from thousands of prior engagements to help design, scope, and deploy agents ready for production scale, not as a demo. Ops and finance teams at On Running, WHOOP, Flexport, Fabletics, Kendo Brands, KIND Bar, Spindrift, and Uber Freight use Parabola to operationalize AI for the high-stakes recurring work generic chatbots and autonomous agents can't safely run.