Product Engineer

Job Description:

A hybrid builder who finds the highest-leverage problems across WorldStrides, prototypes working solutions with AI-assisted development, and hands them off to engineering for enterprise scale.

Product Engineers are part product manager, part developer, and part solutions architect. They embed with teams across the business — operations, sales, marketing, finance, customer support, academics, and beyond — find where the company can create value, and then build it. That value might be a brand-new customer experience, a new digital capability, a smarter platform feature, or a redesigned internal process. They own the outcome, not the ticket.

Product Engineers deploy wherever the leverage is. The work is the same wherever it lands: get close to the real problem, find the leverage, build the proof, and graduate it to production with engineering.

Discovery — find the leverage.

• Embed with stakeholders across lines of business to understand how work actually gets done and where the real opportunity is — whether that's an unmet customer need, a missing capability, or a broken workflow.
• Identify and frame opportunities, then qualify them: is the problem worth solving — material, real, measurable, and feasible to build?
• Build the case for the work — quantify the prize, whether that's revenue or growth, a better customer experience, or hard savings, cost avoidance, and capacity released — and pressure-test it with finance and product partners before committing the team's time.
• Design and build both to support proof-of-concept and pilot — working software, not slideware.
• Use AI-assisted development to move fast: speed and learning matter more than polish at the POC stage.
• Connect prototypes to real systems of record (i.e., Dataverse, in-house systems) through approved integration patterns, reading and writing only via sanctioned product-owner requests.
• Run pilots with real users, instrument outcomes, and iterate against evidence.

Hand off — land the plane with IT, not around it.

• Build to be portable from day one: clean, reviewable code that engineering can adopt rather than rebuild.
• Partner with the IT organization to graduate prototypes to production, and leverage org-wide DevOps and SDLC (trunk-based development, PR and peer review, CI/CD, observability) as those capabilities mature.
• Document architecture, decisions, and assumptions so the work survives the handoff.

Feed the system.

• Every project is a live R&D loop. Surface the patterns, edge cases, and insights you find so they shape the broader product and platform roadmap.
• Partner effectively across multiple business areas and levels of leadership to identify, appreciate, and leverage varying perspectives, ways of working, and priorities

Requirements:

• Strong customer focus and insights-driven prioritization. You care deeply about delivering solutions that create real customer value, support business goals, and compound the leverage of our technologies and operations.
• 1-3 years building software, products, or automations in a role where you owned outcomes — not just executed assigned tickets. (Strong new-grad candidates with a demonstrable portfolio of or substantive assignments will be considered for the entry level.)
• Demonstrated ability to build full-stack: you can stand up a working front end and wire it to back-end logic and data.
• Evidence you can run discovery with stakeholders or users — you've talked to real people, understood their need or their problem, and translated it into something you built. Say so explicitly, with the outcome.
• AI-assisted development fluency: you build with AI tools (coding agents, LLM application patterns), not around them. We care that you can learn new AI tooling fast and that you’re staying up-to-date on the latest advancements — far more than which specific tools you've used before.
• Clear written and verbal communication. You can explain a tradeoff to a business leader and a data model to an engineer in the same afternoon.
• Bias toward shipping. You'd rather have a rough working prototype in front of a user this week than a perfect plan next month.

Strongly preferred

• Experience integrating applications with enterprise systems of record via APIs.
• Familiarity with the Microsoft ecosystem (Azure, Azure DevOps, Dynamics/Dataverse, M365) or the ability to ramp into it quickly.
• Exposure to LLM application development — prompt design, retrieval-augmented patterns, agent/tool-use chains, and especially evaluation (building checks that catch hallucinations and regressions before they reach a pilot).
• Comfort working inside messy, real-world business constraints — legacy workflows, fragmented data, security and compliance gates.

Qualifications:

Technical

• Front-end: React, modern JS/TypeScript, responsive UI.
• Back-end & data: API design and integration, SQL, relational data modeling; comfort reading/writing to systems of record under governance.
• AI-assisted build: coding agents and AI development tools; LLM application patterns including prompting, RAG, tool/agent orchestration, and eval design.
• Engineering hygiene: version control and trunk-based development, pull requests and peer review, secrets kept out of source control, SSO/AD-based identity. Familiarity with CI/CD and observability is a plus.
• Our environment is Microsoft-ecosystem aligned, including SSO/AD for auth, Azure DevOps Git for source control, Dynamics Dataverse, and .NET as the production handoff languages.

Product

• Discovery and problem framing: user and stakeholder research, opportunity identification, getting to the real need behind the ask.
• Distillation of complex experiences and workflows, including identification of when to simplify or eliminate elements while maintaining or improving outcomes.
• Opportunity qualification and prioritization against a clear value framework.
• Value modeling: sizing impact credibly enough to defend with finance.
• Outcome ownership: defining success metrics and holding to them after launch.

Human

• Stakeholder empathy and the ability to earn trust quickly inside teams you don't belong to.
• Radical ownership — you treat the problem as yours end to end.
• Adaptability — the tools and AI capabilities will change under you, repeatedly. You stay ahead of that.
• Handoff discipline — you measure success by what reaches production and gets adopted, not by what you personally built.

Work Perks

• Fun & driven environment.
• Excellent medical, dental, and vision coverage, life, accidental death and dismemberment, accident, critical illness, and disability insurance, FSA healthcare, FSA dependent care, HSA with employer contribution, and generous 401k match.
• 11 paid floating corporate holidays, 1 paid volunteer day & up to 25 PTO days to start – accrue up to 28 over 3 years, 4 mental health days, and 5 bereavement days.
• Tuition reimbursement up to $5,250 annually
• $1,000 towards professional certifications annually
• Opportunities for paid and discounted travel.
• Flexible work schedule providing on-site, remote, and virtual office opportunities.
• Encouraged participation in our Employee Resource Groups and Diversity, Equity, & Inclusion council.
• Fitness Center and café onsite at select locations.
• Employee Assistance Program (EAP)
• Paid Parental, Caregiver, and Disability leave.
• Team Member Discount Program