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Product Engineer; remote

Remote / Online - Candidates ideally in
Nashville, Davidson County, Tennessee, 37247, USA
Listing for: Nerdy
Remote/Work from Home position
Listed on 2026-10-05
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Full Stack Developer, Software Engineer
Salary/Wage Range or Industry Benchmark: 140000 - 210000 USD Yearly USD 140000.00 210000.00 YEAR
Job Description & How to Apply Below
Position: Product Engineer (remote)

Full-Stack Builder Product-Minded Engineer Customer-Obsessed Problem Solver

Overview:

We’re looking for an AI Product Engineer who blends the instincts of a product thinker with the execution chops of a strong engineer. This role is perfect for builders who thrive at the intersection of discovery, design, rapid prototyping, and shipping real customer-facing features.

You’ll own problems end-to-end — from understanding the customer need to designing an elegant solution to shipping polished, reliable, AI-powered experiences. You won’t be confined to “product” or “engineering” boxes. You’ll do both. And you'll move fast.

About Nerdy:

At Nerdy (NYSE: NRDY) - the company behind Varsity Tutors - we’re redrawing the blueprint of learning. Our Live + AI platform fuses real-time human expertise with proprietary generative-AI systems, setting a new bar for measurable academic impact at global scale.

We recruit the kind of technologists and operators you’d bet on as solo founders - people who turn ambiguous problems into shipping code, iterate faster than markets move, and compound their advantage with every data point. In an era where great employees can deliver 10-times the leverage of the merely good, we back those who play to win.

Fortune favors the bold. Join us.

How we compete:
  • AI-Native at every level
    From the CEO to day-one hires, everyone builds and ships with generative AI. If you’re not wielding AI, you’re not done.
  • Entrepreneurial velocity
    Move at founder speed, prototype in hours, and measure in real user outcomes. Slow teams die.
  • Free-market rigor
    Ideas rise or fall on merit and results - no committees, no politics, no cap on upside.
  • Full-stack ownership
    You design, build, and run what you ship; accountability is a feature, not a bug.
  • Reward for contribution
    Pay rises with impact, not years. Outstanding results earn outsized rewards. We evaluate both what you achieve and how you achieve it: living our leadership principles and using AI effectively are formally measured and rewarded.
  • Relentless exploration
    Push the frontier of generative AI in live learning and - because only the paranoid survive - questioning every legacy assumption along the way.
  • Is Apolitical
    You stay focused on mission-aligned outcomes, not distractions or unrelated causes.

If you’re a technically minded builder who thrives on open competition, personal responsibility, and the chance to redefine how the world learns - while continually stretching the limits of what generative AI can do - come do the most ambitious and rewarding work of your career here. Learn more at  .

Nerdy’s shareholder letters below explain our latest products and strategy:
  • Q1-2026 Shareholder Letter
  • Q4-2025 Shareholder Letter
  • Q3-2025 Shareholder Letter
Qualifications:
  • Strong engineering skills in one or more areas: front-end, back-end, full-stack, systems, or similar.
  • Demonstrated ability to own a problem from concept through shipped solution.
  • Experience building software products, internal tools, prototypes, or applications.
  • Comfort working across product and engineering boundaries — writing specs, designing workflows, and building the solution.
  • Experience using AI tools to accelerate development (e.g., chat-based coding assistants, automation tools, rapid prototyping tools).
  • Excellent communication skills across cross-functional teams.
  • A customer-obsessed mindset — grounding decisions in user needs, outcomes, and real behavior.
  • Ability to move quickly, make sound tradeoffs, and iterate based on evidence.
  • Familiarity with cloud environments (any major provider).
  • Comfort analyzing data, defining success metrics, and interpreting signals to guide product improvements.
  • Experience working in fast-paced, highly iterative environments.
Responsibilities:
  • Identify and deeply…
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