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Open nowPosted 4 days agoWe saw it 111 min after it went up

Senior Product Manager

LatamCent9 open roles

Where
Argentina
Work mode
Remote
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Your applicationOpen nowSenior Product ManagerLatamCent · Argentina

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The clock on this job

Early applications get read.

13.6% of postings close within 7 days. Measured by our own scanner across the market. LatamCent postings stay open a median of 28 days.

Share of postings closed within
  1. 2.3%1 day
  2. 4.7%3 days
  3. 13.6%7 days
  4. 21.9%14 days
  5. 36.9%30 days
  6. 59.0%60 days
This job: posted 4 days ago

LatamCent median: 28 days open

The posting

The Opportunity Most onboarding tools leave customers guessing where their users get stuck. You’ll build the version that tells them, using AI agents that spot drop-off and draft the fix. You’ll own the builder end to end, prototype yourself, and get an AI feature live with customers within six months. You’d also be the first product hire in a LATAM team the company plans to grow.

What You’ll Own

- Set the builder’s direction, with a roadmap tied to customer results and revenue rather than a backlog of feature requests

- Turn customer conversations and usage data into prototypes and validated bets before engineering commits time

- Ship LLM and agent features that pinpoint where end users drop off and recommend fixes customers can apply in a few clicks

- Build the quality bar for AI features: eval suites, test and training data, and the retrieval layer behind recommendations

- Strip steps out of the builder until a non-technical customer can launch a flow alone

- Keep design and a distributed engineering team in India aligned and shipping

- Answer for adoption, conversion lift and customer satisfaction on everything you release

What We’re Looking For

- 5+ years in product management, mostly in B2B SaaS, with time as an early PM at a startup

- A solid grasp of product-led growth: activation, onboarding, upgrade and retention mechanics

- AI features you have shipped to production, and the ability to speak concretely about evals, datasets, RAG, and vector or graph databases

- Daily use of LLMs and agents in your own discovery, prototyping and spec work

- Enough technical depth to weigh architecture trade-offs with engineers

- At least one 0-to-1 product that you took from a blank page to launch

- C1+ English, written and spoken

Nice to Have

- Products built around APIs, SDKs or MCPs

- An engineering background, or side projects you’ve shipped yourself (AI-assisted counts)

- A launch that reached real adoption or revenue

- Experience at a digital adoption, onboarding or in-app guidance company

Details

- Location: Remote, Latin America

- Time Zone: US Eastern business hours, plus early-morning availability to overlap with a team in India

- Type: Full-time, contractor

- Reports to: Product leadership

About the Company A B2B SaaS company of about 45 people that helps software businesses move users from first login to paid plan and long-term use. Customers do this with no-code tools and AI agents embedded in their own products. Leadership is in the US, with a distributed product and engineering team.

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