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Code

Curriculum and Professional Learning Product Manager

Remote — United States (see country and timezone requirements)

Check who can apply and the requirements below before continuing.

Job description

COMPANY PROFILE

CodeAI is an education innovation nonprofit dedicated to the vision that every student in every school has the opportunity to learn about artificial intelligence (AI) and computer science (CS) as part of their core K-12 education. We increase participation in AI+CS education by reaching students of all backgrounds where they are — at their skill level, in their schools, and in ways that inspire them to keep learning, with a focus on increasing participation by young women and students from other underrepresented groups. The leading provider of K-12 AI+CS education curriculum across the globe, CodeAI also organizes the annual Hour of AI campaign, building on the legacy of the Hour of Code, which has engaged more than 15% of all students in the world!

A unifying approach in a divided world

CodeAI's global role in the K-12 computer science movement is only possible because we use a unifying approach across diverse and often divided stakeholders. At a time of increasing polarization, the idea of increasing opportunity for students unites people from across the political spectrum. CodeAI's team members, students, teachers, and supporters have diverse and diverging view points, and they are all welcome in our mission. Read more.

JOB SUMMARY

CodeAI is looking for a Curriculum and Professional Learning Product Manager to develop product definition, roadmap, and outcomes for the K–12 curriculum and professional learning products that teachers rely on. Our curriculum reaches millions of students — and the teachers who teach them — across the U.S. and around the world every year. In this role, you'll help to define what we build and in what sequence, and you'll be accountable for whether it actually lands in classrooms.

You'll work closely with the Director of Teaching and Learning to shape product vision across both curriculum and PL. Day-to-day, you'll partner with the curriculum and PL content managers who own content craft and quality, and with the platform product team, so that strategy, content, and tooling come together into learning experiences that work.

DUTIES AND RESPONSIBILITIES

In this role you will:

Develop the product vision and bets across curriculum and PL — what we build, why, and in what order — in partnership with the Director of Teaching and Learning.

Maintain a single prioritized roadmap spanning curriculum and PL products.

Define what a product needs, including a high-level view of the content.

Build and represent deep expertise in what students, teachers, districts, states, and partners need from CS and AI curriculum and PL, grounded in real discovery and data.

Run pilots, surveys, focus groups, and classroom observations, and turn what you learn into product direction.

Set goals and metrics for your products and be accountable for them.

Monitor adoption, usage, retention, and satisfaction, and work with curriculum, PL, and software product managers to act on the signal.

Translate state and district requirements into product requirements, and inform packaging and marketing when products ship.

Bring curriculum and PL managers, platform PMs, the implementation and success team, and engineering in from the start of discovery, and engage design, marketing, data, and growth along the way.

Communicate crisply with stakeholders and leadership, and contribute to the team practices and culture that make this work sustainable.

EXPERIENCE & QUALIFICATIONS

We seek candidates who have:

5+ years of product management experience, including owning a product roadmap end-to-end and shipping student-facing learning products at scale.

Experience with curriculum and/or professional learning product development, including learning products built for adult learners.

A track record of product discovery: talking to users, synthesizing market and field insight, and turning it into a prioritized roadmap.

Fluency using product, market, and customer data to make decisions — defining metrics, running pilots or studies, and monitoring adoption, usage, retention, and satisfaction.

Deep knowledge of CS and AI concepts relevant to the K–12 grade bands of the CSTA standards and the AI Literacy Framework, a strong understanding of CS and AI educational products, and proficiency in a text-based programming language (e.g., Python or JavaScript).

Experience partnering with engineering and software product teams to set requirements and ship tooling, including requirements that involve AI capabilities.

Strong prioritization and decision-making under ambiguity, and excellent written communication — vision docs, roadmaps, and briefs that unblock other teams.

A deep understanding of best practices that support equitable learning environments, experience with student-centered pedagogy, and passion for the CodeAI mission.

In addition, candidates must:

Be a U.S. Citizen or Permanent Resident

Work within the continental United States

Pass a pre-employment background check

Be willing to travel a minimum of two times per year for team events

OUR CULTURAL PRINCIPLES

The way we work matters as much as the work itself. Before you apply, we invite you to take a look at our cultural principles. They reflect who we are, how we show up for each other, and what we look for in the people who join us.

OUR APPROACH TO AI IN HIRING

At CodeAI, we use AI thoughtfully and responsibly to support human-centered hiring. AI may help with administrative tasks, but every hiring decision is made by real people on our team. We welcome candidates to use AI appropriately in their job search while upholding our values of honesty and integrity throughout the process.

Read our full AI Use Policy in Hiring here.

WHAT IS THE INTERVIEW PROCESS LIKE?

Step 1: Informational Interview - learn more about the role and share your experience (30 minutes)

Step 2: Homework (~3 hours)

Step 3: Interviews with several members of the Code.org team (~4 hours)

Step 4: Final Interview (1 hour)

Step 5: Reference Checks

All interviews are currently being conducted virtually via Google Meet

TO APPLY

Our team will review all applications on an ongoing basis and if we believe your qualifications would make a great fit, we'll contact you to schedule an informational interview.

COMPENSATION & BENEFITS PACKAGE

The expected salary range for this position is $117,000 - $154,000. Most offers are on the lower end of the salary range and are at the company’s sole discretion based on the final candidate’s experience. This allows us to provide a fair and equitable approach to compensation when setting pay and maintaining internal pay equity.

We also offer a comprehensive benefits package for full-time employees that includes:

Technology subsidy consistent with our Bring Your Own Device environment

Flexible, engaging, and remote working environment

Paid time off: 5 weeks total, comprised of 3 weeks vacation annually, plus a 2-week winter break office closure (including Christmas and New Year's), and sick leave

Medical, dental and vision premiums paid at 100% for FT positions and their dependents

Option to participate in 403b retirement plan

Annual professional development stipend

The opportunity to help students learn better and change the face of computer science

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

Originally posted on Himalayas

Who can apply

Eligible countries: United States. Accepted UTC offsets: UTC-10, UTC-9, UTC-8, UTC-7, UTC-6, UTC-5, UTC+14. Review the full description for employer-specific work authorization, residency and schedule requirements.

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