Wonderschool is a software company that helps small business owners earn more money. They started with childcare providers because it is a large, underserved market where technology can have an outsized impact on revenue. But the model scales: they are building a platform and a playbook that will expand into other verticals.

The Vision

The North Star for this role is a system where a user signal automatically triggers a chain of AI agents that writes the product requirements, designs the solution, builds the code, reviews it, and ships it. No human in the loop for the routine stuff. Humans define what matters, train the agents, and review edge cases.

What You Will Do

Own the AI Development Loop

Review and iterate on AI-generated code and feed that review back as training signal to make the agents better over time Architect the codebase for AI legibility: clean data models, strong documentation, deprecation of legacy patterns that cause agents to fail Build and maintain the automated product pipeline: signal detection, agent-generated requirements, AI-driven development, AI code review, commit When agents break in production, you own the diagnosis and fix

Enable the Business, Not Just the Product

Build tools and workflow infrastructure that let operations, sales, and customer success teams operate the platform themselves, without filing engineering tickets Translate what internal teams need into automated, reliable systems Help non-engineers understand what is possible and then make it happen

Ship Full-Stack Product

Build features across the frontend and backend: React/TypeScript on the front, Node.js or Elixir on the back, Postgres underneath Own the full lifecycle from requirements to production Debug issues across the entire stack

Stay Close to What Is Live

Actively observe the production environment: usage patterns, agent failures, edge cases, provider behavior This role requires a high degree of personal accountability for system health. When things are running well, that is because you have built the monitoring and alerting to catch problems early. Getting there takes commitment.

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Estimated Base Salary $295K – $445K

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

• 401(k) retirement plan with employer match

• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

• Daily meals in our offices, and meal delivery credits as eligible

• Relocation support for eligible employees

• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

Team Description

OpenAI is looking for exceptional researchers to join the Post-Training Frontiers team, which is responsible for post-training the agentic models we ship across Codex, the API, ChatGPT Thinking, and ChatGPT Pro. The Post-Training Frontiers team sets up the pipeline for deciding which integrations can go into the post-training run, develops its own horizontal improvements to the model, and trains the final model.

Responsibilities

• Own end-to-end research and engineering projects that improve the final post-training of OpenAI’s agentic models.

• Decide, together with partner teams, which integrations are ready for inclusion in major model runs.

• Develop horizontal model improvements across factuality, instruction following, tool/function calling, multi-agent behavior, reasoning-effort calibration, and other broad capabilities.

• Build and improve training, evaluation, grading, and data infrastructure for large-scale RL/post-training runs.

• Create evals and diagnostics that help us understand whether a model is ready to ship.

• Improve the feedback loop from real product usage into post-training, including better ways to learn from implicit user feedback.

• Collaborate closely with Codex, API, ChatGPT, product, training, and other post-training teams to make frontier models more useful, reliable, and agentic.

Nice to have

• Experience with large-scale model training or RL systems.

• Experience building evals, graders, reward models, or data pipelines for LLM training.

• Experience with coding agents, tool-using agents, browser/computer-use agents, function calling, or multi-agent systems.

• Background in quant, systems, infra, or other environments where you built reliable machinery for high-stakes experimentation.

• Evidence of strong product taste, especially around writing, design, code generation, or agent workflows.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

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We're hiring Software Engineers for our Product team to build the surfaces our customers depend on , dashboards, admin tooling, billing and spend management, analytics, onboarding, and many other user-facing features that turn OpenRouter into a platform.

As a Software Engineer on our Product team, you'll work closely with PMs and designers to ship high-quality customer-facing products and features. You'll own products from concept to production, ensuring they are performant, reliable, and delightful for users. You'll bring a strong product instinct, push back when something doesn't make sense, and propose your own ideas to help make our product even better.

Key Responsibilities:

• Build and ship high-quality customer-facing products and features.
• Own products from concept to production, ensuring they are performant, reliable, and delightful for users.
• Bring a strong product instinct , push back when something doesn't make sense, and propose your own ideas to help make our product even better.
• Partner with product and design teams to shape what we build, not just how we build it.
• Identify bottlenecks, build great monitoring, propose solutions, and optimize performance across both frontend and backend systems.
• Help raise the bar for product quality, design polish, and craft as the team grows.

Requirements:

• 4+ years of experience shipping external-facing products as a full-stack or product engineer with strong product taste and judgment.
• Proficient in React, TypeScript, Next.js, and JS runtimes.
• High agency and a bias toward action; you talk to users, you iterate, you ship.
• AI-forward in your workflow. You use coding agents often, found interesting ways to automate your work, and have opinions about what works and what doesn’t
• Comfortable in a small, fast-moving environment where boundaries between teams are intentionally fluid.
• Strong written communication and a collaborative working style with PMs and designers.

Bonus Points:

• Prior experience at fast-growing applied AI or product-led companies
• Experience building product in fast-moving, ambiguous industries.
• Existing user of OpenRouter or active side projects in AI tooling.

Salary: The base salary for this full-time position in the United States, spanning multiple internal levels depending on qualifications, ranges between $215,000 to $285,000 plus benefits & equity. Compensation for internationally based candidates will vary to reflect local market conditions.

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You will ground projections in microeconomic signals from the Anthropic Economic Index , usage patterns across millions of real-world AI interactions, surfaced through privacy-preserving measurement , so that scenario forecasts are disciplined by what we actually observe about task transformation and productivity.

Our team combines rigorous empirical methods with novel measurement approaches. We're building first-of-its-kind datasets tracking AI's impact on labor markets, productivity, and economic transformation.

You will:

• Build macroeconomic models of transformative AI spanning growth, labor markets, and income distribution
• Develop and maintain scenario-based forecasting tools; publish forecasts for GDP, productivity, and unemployment under a range of AI-capability trajectories
• Ground macroeconomic projections in microeconomic data from the Anthropic Economic Index, constraining theory with observed patterns of adoption and task transformation
• Analyze questions of income distribution and economic governance under transformative-AI scenarios
• Contribute to the development of AI-powered research tools for economics
• Contribute to Economic Index Reports and publish Research Briefs on first-order questions as they arise
• Build and maintain relationships with academic institutions, policy think tanks, and other research partners
• Amplify external engagement through research publications, policy briefs, and presentations to diverse stakeholders

Required skills include proficiency in Python, Julia, or similar for computational economics, facility with AI coding agents as part of a research workflow, and comfort learning new technical tools and frameworks.

The ideal candidate works at the intersection of growth theory, forecasting, and frontier AI, and has a strong interest in ensuring AI development benefits humanity.

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Key responsibilities include being a contact point for other teams within Elastic, fostering a culture of mutual respect, collaboration, and consensus-based decision-making, and being an awesome person to work with.

To be successful in this role, you will need to have a SRE background and experience operating large-scale production services with the help of Observability tools. You should be proficient in operating production infrastructure in K8s and at least one of the three major CSPs, as well as using Observability tools. You will also need to be able to use AI coding agents in the delivery workflow and have excellent verbal and written communication skills.

Bonus points will be given to those with experience as a user of the Elastic Stack.

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