Senior Product Manager
Quick Summary
eval suites, test and training data, and the retrieval layer behind recommendations Strip
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
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
~1 min readProducts 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
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.
Location & Eligibility
About this job
- Who can apply
- Mexico
- Posted
- 4 days ago
Listing Details
- Posted
- November 2, 2026
- First seen
- November 2, 2026
- Last seen
- November 6, 2026
Posting Health
- Days active
- 3
- Repost count
- 0
- Trust Level
- 66%
- Scored at
- November 6, 2026
Signal breakdown
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