Skip to content
CV Rocket
Get started
How it worksThe enginePricingBlogContactSign in

Open nowPosted 181 days ago

AI Agent Product Manager

Wonderschool38 open roles

Where
San Francisco
Get the CV for this job

From $25 per CV, paid once. No subscription.

Your applicationOpen nowAI Agent Product ManagerWonderschool · San Francisco

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Wonderschool's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

12.3% of postings close within 7 days. Measured by our own scanner across the market. Wonderschool postings stay open a median of 63 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.3%7 days
  4. 19.7%14 days
  5. 35.6%30 days
  6. 58.0%60 days
This job: posted 181 days ago

Wonderschool median: 63 days open

The posting

About Wonderschool

Wonderschool’s mission is to ensure every child has access to early education that helps them realize their full potential. We help child care providers start, operate, and grow their businesses with software, coaching, and support. We also partner with governments to modernize public child care systems. Our small, in-person team is motivated by the impact we have on families and communities.

About the Role

We are looking for an AI Agent Product Manager to own the systems and operating performance of AI agents at Wonderschool. You will identify valuable work for agents to do across provider, parent, government, and internal workflows; design how agents use tools and work with people; and improve the quality, reliability, speed, and cost of those systems in production. You will work directly with customers and operational teams to understand the work, then partner closely with engineering to ship, measure, and improve agent experiences.

This is a hands-on product role based in San Francisco. You will be accountable for real outcomes, including work completed accurately, timely human handoffs, less manual effort, and better customer experiences.

What You’ll Do

  • Map customer and internal workflows to find where an agent can complete a useful task or help a person do it faster.
  • Define each agent’s job, tool access, decision boundaries, escalation path, and success measures.
  • Partner with engineering, design, and operations to prototype, launch, and improve agent systems.
  • Build evaluations and review real failures, customer feedback, and operational data to understand where agents succeed or struggle.
  • Track quality, reliability, latency, cost, adoption, and customer outcomes; use those signals to prioritize improvements.
  • Design clear human review and handoff experiences for cases an agent cannot or should not complete alone.
  • Stay close to customers and frontline teams, and own the feedback loop from discovery through production performance.

What Success Looks Like

  • Agents complete well-defined work accurately and consistently, with failures visible and addressed quickly.
  • Customers and teams receive timely help and know when a person has taken over.
  • Manual work and time to resolution decline while customer experience improves.
  • The team can see how each agent performs, what it costs to operate, and where to improve it next.

Who You Are

  • You have shipped and improved software products or operational systems used by real people.
  • You can reason about agent behavior, APIs, data, evaluations, and system tradeoffs with engineers, and you are willing to prototype hands-on.
  • You use evidence from users and production performance to make product decisions.
  • You communicate clearly across engineering, customer-facing, and operational teams.
  • You are comfortable working in ambiguity and taking ownership from problem discovery through results.
  • You care about child care providers, families, and the people who serve them. A particular degree is not required.

Location

  • San Francisco, California — in person at our Rincon Hill office, typically 5–6 days a week.

Why Join Us

  • Build agent systems for consequential, real-world child care workflows.
  • Work closely with engineering, operations, customers, and company leadership.
  • Own a product area from first deployment through measurable operating performance.
  • Join a small team where you can ship quickly and see the impact of your work.

How You’ll Work

  • Use agentic tools to accelerate research, prototyping, testing, and iteration while checking their output against real customer needs.
  • Spend time with customers and operational teams, including occasional evening or weekend events when the work calls for it.
From $25, paid onceGet the CV for this job

What happens when you press

One press. We do the rest.

  1. A CV for this posting

    Written against Wonderschool's own wording, from every piece of relevant proof in your profile.

  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.

  3. We apply on Wonderschool's form

    Our application engine gets through the hardest forms there are. Where a question needs you, AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

    An application in CV Rocket: every answer filled in on the employer's form.

  4. Every reply, sorted

    Wonderschool's answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

    The CV Rocket inbox: each employer reply classified as an interview, an action or a rejection.

  5. Reply with AI

    AI helps you write the email, checks it and sends it. We show you whether the recruiter read it.

  6. The interview in your calendar

    Full integration with your calendar. The invitation goes straight in.

    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
Get the CV for this job

From $25 per CV, paid once. No subscription.

Why it works

3×

more interviews than doing it yourself with ChatGPT.

ChatGPT writes a CV and never learns what happened to it. We see every reply. For each CV we know:

  • How it was written, and how the review scored it
  • When we applied, and how long after the posting went up
  • Which posting, which company, which city
  • Who got the interview, and who heard nothing

That is how we know which CVs get called.

Get the CV for this job

From $25 per CV, paid once. No subscription.

The numbers game

More applications. More interviews.

Every application goes out with its own CV, written for that posting and paid once. Send enough of them and the law of large numbers finds you the job.

Get the CV for this job
By hand5–10
With CV Rocket100
applications a day

Nearby

Live postings like this one

Same employer first, then the same role elsewhere.

Before you press

Straight answers

Get the CV for this job

From $25 per CV, paid once. No subscription.

What if my background isn't good enough?

We make the most of the background you have. The CV uses every piece of relevant proof your profile holds, and one of the 25 readers reads your whole profile and flags what the CV left out.

Do you really apply for me?

Yes, on the employer's own form, the hardest ones included. Where a question needs you, you answer it right there and AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

Is it a subscription?

No. You pay once per CV, from $25. Every application goes out with its own CV, written for that posting.

One job. One CV.
Paid once.

Pick the posting you want. We write for it, apply for you and catch the reply.

Get the CV for this job

From $25 per CV, paid once. No subscription.