Staff Full Stack Engineer
Panorama Education • United States
Posted: January 21, 2026
Job Description
Staff Full Stack Engineer, Surveys
About the Role
As a Staff Full Stack Engineer on the Surveys squad, you’ll help lead the next phase of
Panorama’s first and most foundational product. Surveys sit at the core of how districts
understand student experience and well-being, and this role is about building on a strong
foundation to unlock new capabilities, scale with confidence, and continuously improve how
insight turns into action for educators.
You will bring strong full-stack expertise, systems thinking, and product-minded engineering to
complex, high-leverage problems. You’ll partner closely with product managers, designers, data
science, and other engineers to deliver thoughtful, maintainable solutions that balance speed,
quality, and long-term sustainability. In addition to hands-on development, you’ll serve as a
technical leader within the squad and a mentor across the broader engineering organization.
You’ll also help identify and support opportunities to apply AI and automation thoughtfully within
survey workflows, reporting, and internal tooling to reduce manual effort and improve insight
quality over time.
This role is ideal for someone who enjoys working on a mature, mission-critical system,
strengthening foundations, and making improvements that unlock outsized impact for customers
and internal teams.
Responsibilities
Product & Engineering Impact
Design, build, and maintain full stack features and systems that power Panorama’s
Surveys product.
Lead complex technical initiatives that improve scalability, reliability, and performance of
survey workflows and reporting, including selectively incorporating AI-assisted
approaches where they add clear value.
Partner with Product and Design to translate customer needs into well-scoped, durable
technical solutions.
Balance new feature development with ongoing investment in platform health, technical
debt reduction, and operational excellence.
Ensure survey experiences are intuitive, accessible, and performant for educators and
administrators.
Technical Leadership
Serve as a senior technical voice within the Surveys squad, helping guide architectural
decisions and technical direction.
Mentor and support engineers across the team through pairing, code reviews, and
technical guidance.
Raise the bar for engineering quality, testing practices, and maintainability.
Collaborate with other Staff and Principal engineers to align patterns and practices
across Panorama’s technology organization.
Contribute to shared technical standards and help evolve Panorama’s engineering
practices over time.
Full Stack Development
Work across the stack, with deep backend expertise in Ruby on Rails and comfort
building and evolving front-end experiences in Vue.js.
Support data-intensive features, including survey administration, response collection,
reporting, and insights.
Design, prototype, write, test, review, debug, deploy, and monitor production code.
Staff Full Stack Engineer, SurveysAbout the RoleAs a Staff Full Stack Engineer on the Surveys squad, you’ll help lead the next phase ofPanorama’s first and most foundational product. Surveys sit at the core of how districtsunderstand student experience...Our Ideal Candidate Has
7+ years of professional software engineering experience, including work at the Senior
or Staff level.
Strong full stack experience, with deep proficiency in Ruby on Rails and working
knowledge of modern front-end frameworks (Vue.js preferred).
Experience working on large, long-lived products and evolving systems over time.
A product-oriented mindset and the ability to reason about tradeoffs between speed,
quality, and sustainability.
A proven track record of mentoring engineers and providing technical leadership without
formal authority.
Strong communication skills and the ability to collaborate effectively across engineering,
product, and design.
Comfort working with ambiguity and ownership over complex problem spaces.
Interest in applying AI thoughtfully to improve workflows, data quality, and product
experiences, with a strong sense of when automation is and is not optimal.
Experience collaborating with data science or AI-focused teams, or hands-on experience
integrating AI-powered capabilities into production systems.
Additional Content
Staff Full Stack Engineer, Surveys
About the Role
As a Staff Full Stack Engineer on the Surveys squad, you’ll help lead the next phase of
Panorama’s first and most foundational product. Surveys sit at the core of how districts
understand student experience and well-being, and this role is about building on a strong
foundation to unlock new capabilities, scale with confidence, and continuously improve how
insight turns into action for educators.
You will bring strong full-stack expertise, systems thinking, and product-minded engineering to
complex, high-leverage problems. You’ll partner closely with product managers, designers, data
science, and other engineers to deliver thoughtful, maintainable solutions that balance speed,
quality, and long-term sustainability. In addition to hands-on development, you’ll serve as a
technical leader within the squad and a mentor across the broader engineering organization.
You’ll also help identify and support opportunities to apply AI and automation thoughtfully within
survey workflows, reporting, and internal tooling to reduce manual effort and improve insight
quality over time.
This role is ideal for someone who enjoys working on a mature, mission-critical system,
strengthening foundations, and making improvements that unlock outsized impact for customers
and internal teams.
Responsibilities
Product & Engineering Impact
Design, build, and maintain full stack features and systems that power Panorama’s
Surveys product.
Lead complex technical initiatives that improve scalability, reliability, and performance of
survey workflows and reporting, including selectively incorporating AI-assisted
approaches where they add clear value.
Partner with Product and Design to translate customer needs into well-scoped, durable
technical solutions.
Balance new feature development with ongoing investment in platform health, technical
debt reduction, and operational excellence.
Ensure survey experiences are intuitive, accessible, and performant for educators and
administrators.
Technical Leadership
Serve as a senior technical voice within the Surveys squad, helping guide architectural
decisions and technical direction.
Mentor and support engineers across the team through pairing, code reviews, and
technical guidance.
Raise the bar for engineering quality, testing practices, and maintainability.
Collaborate with other Staff and Principal engineers to align patterns and practices
across Panorama’s technology organization.
Contribute to shared technical standards and help evolve Panorama’s engineering
practices over time.
Full Stack Development
Work across the stack, with deep backend expertise in Ruby on Rails and comfort
building and evolving front-end experiences in Vue.js.
Support data-intensive features, including survey administration, response collection,
reporting, and insights.
Design, prototype, write, test, review, debug, deploy, and monitor production code.
Staff Full Stack Engineer, SurveysAbout the RoleAs a Staff Full Stack Engineer on the Surveys squad, you’ll help lead the next phase ofPanorama’s first and most foundational product. Surveys sit at the core of how districtsunderstand student experience...Our Ideal Candidate Has
7+ years of professional software engineering experience, including work at the Senior
or Staff level.
Strong full stack experience, with deep proficiency in Ruby on Rails and working
knowledge of modern front-end frameworks (Vue.js preferred).
Experience working on large, long-lived products and evolving systems over time.
A product-oriented mindset and the ability to reason about tradeoffs between speed,
quality, and sustainability.
A proven track record of mentoring engineers and providing technical leadership without
formal authority.
Strong communication skills and the ability to collaborate effectively across engineering,
product, and design.
Comfort working with ambiguity and ownership over complex problem spaces.
Interest in applying AI thoughtfully to improve workflows, data quality, and product
experiences, with a strong sense of when automation is and is not optimal.
Experience collaborating with data science or AI-focused teams, or hands-on experience
integrating AI-powered capabilities into production systems.