Traversal
Staff Full-Stack Product Engineer
New York · Staff+ · Full-time
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odds of building a lasting career here
Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.
Lottery odds assume a STEM candidate.
Personalize to your clock →H-1B wage level
the lottery is wage-weighted — each level is one more entry
$15,589 more — $165,589 — moves this role to Level III and 3 lottery entries. That figure is inside the range the employer already advertised.
Based on the DOL prevailing wage for this occupation and worksite, a base salary of $165,589 would place this position at wage Level III. That figure is within the posted range, and I'd like to target it. This role classifies under "Software Developers" for prevailing-wage purposes.
DOL prevailing wage, 2026-27 wage year · Software Developers (15-1252) · New York-Newark-Jersey City, NY-NJ. Wage level is derived by USCIS from the offered wage, occupation and worksite; the occupation shown is inferred from the job title.
Employer immigration record
from this employer's Department of Labor filings
Files H-1B transfers
Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.
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About the role
- This role is ideal for engineers who enjoy owning complex systems end-to-end-from user interface through backend services and infrastructure.
- You'll help translate advanced AI capabilities into reliable, production-grade product experiences used by engineers operating large-scale systems.
- The right person for this role combines strong product intuition with deep engineering judgment and is comfortable working across the stack, from distributed systems and data pipelines to highly interactive front-end applications.
Responsibilities
- Product Ownership: Drive end-to-end development of core product capabilities, translating AI-driven insights into intuitive workflows that empower engineers and reduce cognitive load.
- Technical Architecture: Design scalable system architectures spanning frontend, backend services, and data infrastructure to support real-time observability and automated operations.
- API & Platform Development: Design and implement high-performance APIs and service layers that power the product and enable seamless integration between AI systems, backend services, and the user interface.
- User Experience: Build highly interactive interfaces for exploring operational data, rapidly iterating with users to refine product workflows and usability.
- Data Systems: Design efficient strategies for storing, processing, and retrieving large-scale operational data using technologies like PostgreSQL, Redis, and distributed systems.
- AI Integration: Collaborate with AI engineers and researchers to operationalize model outputs in production systems, building reliable pipelines, authentication systems, and platform abstractions that enable AI-powered features.
- Technical Leadership: Help shape engineering best practices, influence technical direction, and raise the bar for system design, performance, and maintainability across the codebase.
- Production complexity was already outpacing what engineering teams could manage manually, and AI-generated code is accelerating that gap.
- Drive end-to-end development of core product capabilities, translating AI-driven insights into intuitive workflows that empower engineers and reduce cognitive load.
- Design scalable system architectures spanning frontend, backend services, and data infrastructure to support real-time observability and automated operations.
Requirements
- Strong proficiency in Python and modern backend frameworks such as FastAPI or similar
- Experience designing and operating scalable backend services and APIs
- Experience deploying and operating applications in cloud environments (AWS), including containerized workloads using ECS or Kubernetes
- Experience working with data-intensive systems, including relational databases such as Postgres and distributed storage systems
- Strong product instincts and the ability to translate technical capabilities into intuitive user-facing functionality
- Ability to operate effectively in early-stage startup environments with high ownership and evolving priorities
Nice to have
- Experience working with observability platforms, infrastructure tooling, or developer platforms
- Familiarity with AI/LLM-powered products or agentic systems
- Background working on large-scale, distributed, or data-driven applications
- Individual compensation is determined by experience, skills, and job-related knowledge.
- Traversal is a place to take on hard, meaningful problems with real ownership from day one.
- You'll work alongside people who challenge you to grow, learn constantly, and help define a new category of infrastructure software.
- We think long term, move quickly, and hold a high bar without taking ourselves too seriously.
- Traversal is fully in-office, 5 days a week, based in New York near Madison Square Park.
Skills
- Data Systems:
- AI Integration:
- Technical Leadership:
Compensation
- We offer competitive compensation, startup equity, health insurance, and additional benefits.
- The U.S. base salary range for this full-time, in-person role in New York is $150,000 - $300,000, plus equity and benefits.
- Our salary ranges are based on location, level, and role.
- Individual compensation is determined by experience, skills, and job-related knowledge.
- We offer competitive salary and equity packages, health insurance, fertility benefits, a great tech setup stipend and flexible time off.
- Plus in-office snacks, team happy hours and outings, an annual company offsite, and plenty of built in time to collaborate across teams.
Company info
- Our mission is to free engineers from endless firefighting and give them more time to focus on creative, high-impact work.
This listing is sourced directly from Traversal's careers page and normalized into a canonical job model.