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Merchandise Manager
Ulta Beauty, Inc.
Dallas, TX
The Merchandise Manager (MM) is responsible for leading through Ulta Beauty’s mission, vision, and values and contributing to a high-performing team that consistently delivers top-line…
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Merchandise Manager
Ulta Beauty, Inc.
Noblesville, IN
The Merchandise Manager (MM) is responsible for leading through Ulta Beauty’s mission, vision, and values and contributing to a high-performing team that consistently delivers top-line…
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Merchandise Manager
Ulta Beauty, Inc.
Pompano Beach, FL
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Lakewood, CA
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Imagine Learning

Full Stack Engineer

Remote, United States

$119,786 to $190,000 USD / year

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Job details

Pay: $119,786 to $190,000 USD / year
Posting language: English

Original job description

Description

Position at Imagine Learning

Great Purpose. Great People. Great Opportunities.

At Imagine Learning, we Empower Potential - in students, educators, and each other. As the leading provider of digital-first K–12 curriculum solutions, we’re committed to igniting learning breakthroughs that spark curiosity, creativity, and confidence. Every day, our team designs innovative tools that help educators personalize instruction and engage students in meaningful ways. We’re shaping the future of learning through our Curriculum-Informed AI™ approach - technology that understands instructional context, respects educator judgment, and transforms how teachers personalize learning at scale to unlock each student’s potential. Together, we’re reimagining what’s possible and transforming education.

That same spirit of innovation and purpose drives our team culture. At Imagine Learning, you’ll find opportunities for meaningful work, continuous growth, and connection with passionate colleagues who care deeply about making a difference. We celebrate collaboration, embrace change, and believe in lifelong learning - for our students and ourselves.

Imagine Learning offers flexible work arrangements across the U.S. and internationally. U.S.-based employees located in or around Tempe, AZ (HQ), Austin, TX, Petaluma, CA, Rock Rapids, IA, or Stamford, CT, typically work on a hybrid schedule at one of our office locations.

Imagine Your Impact. Come help us explore what’s possible with AI-powered research and development in education. We’re building a small, entrepreneurial team with room to experiment, big problems to solve, and a shared drive to make a difference. You’ll dig into emerging technology, turn ideas into working prototypes, and learn alongside colleagues who are as curious and committed as you are. We’re looking for people who take initiative, bring energy to hard problems, and care about seeing the work through. If you’re excited to go deep on AI, share what you discover, and move quickly with a team that builds and learns together, you’ll have a hand in shaping this work from the start. Bring your curiosity, your ideas, and your determination to make things better for students and educators.

The Full Stack Engineer builds scalable backend services, APIs, and data-driven AI capabilities for education at Imagine Learning, while contributing to the frontend experiences that use them. On a small, co-located R&D team, this hands-on role turns emerging AI capabilities into secure, reliable software through Python-based data engineering, well-designed service contracts, and pragmatic AWS infrastructure. We seek a builder who enjoys solving complex integration and data problems, collaborating across disciplines, and improving learning. Success requires comfort with ambiguity, strong engineering judgement, and the ability to prototype, gather feedback, and evolve promising ideas into maintainable systems.

For more information on what it’s like to work at Imagine Learning, including our culture, benefits, and products, visit us HERE.

To learn more about a typical applicant journey at Imagine Learning, click HERE.

Position Information: This is a regular, full-time position, reporting to the Software Engineering Manager UK.

Compensation: Base pay is anticipated to be between $119,786.00 and $190,000.00 per year. Eligible employees may also receive incentive/commission/annual bonus pay based on individual and/or company performance. Compensation may vary based on factors such as, but not limited to, individual skills, experience, training, education/certifications, geographic location, internal equity, and local market conditions.

Location: This US-based position is hybrid, and a coworking space will be provided in the Boston, MA area.

Travel: This role may require limited travel of approximately 10% or less, with occasional travel to Connecticut and, less frequently, Tempe, Arizona. Be sure you have a valid driver’s license, automobile insurance, and a clean driving record for at least the preceding 39 months.

Benefits: Imagine Learning provides a comprehensive benefits program to eligible employees, including:

Multiple health, dental, and vision plans, including medical plans with zero employee premiums
401k plan with a company match
16 paid holidays, which include 2 floating holidays and a winter shutdown from Christmas Eve through New Year’s Day
Paid Time Off
Comprehensive maternity and fertility/family building benefits
Paid bonding leave when a new child joins your family
Access to on-demand mental health resources
Life and short and long-term disability insurance
Pre-tax savings plans
Paid volunteer time off
A wide variety of professional development programs, including tuition reimbursement
Work from home opportunities that foster work/life balance

Envision Your Experience.

In this role you’ll have the opportunity to:

Build multimodal AI experiences that combine text, voice, and other input and output modes, supported by secure, versioned APIs and backend services; make switching between modes intuitive while preserving context.
Develop Python services and data pipelines for ingestion, validation, transformation, enrichment, and delivery of structured and unstructured educational data.
Design data models and persistence strategies across relational, document, object, and cache-based storage; improve data quality, lineage, and operational visibility.
Build cloud infrastructure on AWS using infrastructure as code, with appropriate networking, identity and access management, secrets, observability, and resilience.
Integrate speech input and audio output, including microphone permissions, turn-taking, interruption, transcription feedback, and text fallbacks.
Contribute to responsive, accessible frontend prototypes in TypeScript or JavaScript, including streaming and multimodal interactions, while keeping business logic and data access behind reusable APIs.
Work directly with product, research, frontend, and AI engineering colleagues to prototype, evaluate or discard ideas; perform other duties as required.

Share Your Expertise.

Experience, education, and qualifications essential for success in this role, include:

Bachelor’s degree in computer science, engineering, or a related field and at least 5 years of software engineering experience; or an acceptable combination of education and experience.
Strong backend engineering skills, including designing HTTP APIs, service boundaries, authentication and authorization, error handling, asynchronous processing, and integration contracts.
Proficiency in Python and experience building services and data processing workflows using appropriate testing, packaging, and dependency-management practices.
Experience with relational and non-relational databases, data modelling, SQL, schema evolution, data quality, and the performance and reliability considerations of data-intensive systems.
Hands-on AWS experience with services such as Lambda, ECS or EKS, API Gateway, S3, RDS, DynamoDB, SQS, SNS, EventBridge, CloudWatch, and IAM, plus infrastructure as code and continuous delivery.
Working knowledge of TypeScript or JavaScript, HTML, CSS, and React, with the ability to integrate accessible interfaces with backend APIs. Initiative, adaptability, openness to critique, and motivation to improve education are essential; experience delivering AI-enabled or multimodal applications is preferred.

At Imagine Learning, we believe our work is strongest when people feel respected, supported, and encouraged to contribute their unique perspectives. We strive to create a welcoming workplace where employees can learn from one another, grow together, and build educational experiences that reflect the world of our learners.

Imagine Learning is an Equal Opportunity Employer committed to providing equal employment and advancement opportunities to qualified individuals. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, sex (including pregnancy, childbirth, lactation, or related medical conditions), gender identity or expression, transgender status (including whether or not you are transitioning or have transitioned), sexual orientation, marital status, religion (including religion dress and grooming practices), age 40 and over, physical or mental disability, medical condition, genetic information (including results of genetic testing and characteristics), veteran and/or military status, or service in the military, and any other basis or status protected under applicable federal, state, or local laws.

To all recruitment agencies: Imagine Learning does not accept agency resumes without our express written permission. Please do not submit candidates for consideration via our online application system, to Imagine Learning employees, or to any other organization location without written authorization to do so. Imagine Learning is not responsible for any fees related to unsolicited resumes.

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More about this job

Skills

Python
Data engineering
AWS
Valid driver's licence
Data models
Infrastructure as code
Identity and access management
TypeScript
JavaScript
Research
Computer science
Process data
Packaging
Data modelling
SQL
Amazon DynamoDB
CI/CD
HTML
CSS
React

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