Senior Product Manager

LatamCent; Argentina; Remote; ARS 108,125,000 - 169,910,000; Full time

Job summary

LatamCent, a B2B SaaS company with distributed product and engineering teams, seeks a senior product manager who will own end-to-end AI-enabled onboarding features. You’ll prototype, ship with customers, and drive adoption across LATAM markets from a core team in a remote setup.

You’ll have 5+ years in product management, strong product-led growth instincts, and hands-on experience with LLMs, evals, and data-driven decision making. This role is remote for LATAM with US Eastern overlap.

Qualifications

• 5+ years in product management, mostly in B2B SaaS
• Experience shipping AI features to production and working with evals/datasets
• Strong understanding of activation, onboarding, retention
• Comfort weighing architecture trade-offs with engineers
• Proven track record of taking a product from blank page to launch
• Fluent in English (spoken and written)

Responsibilities

• Set the builder’s direction with a revenue-driven roadmap
• Turn customer conversations and usage data into prototypes and bets
• Ship AI features that identify drop-off and suggest fixes
• Build eval suites, data and retrieval layer for AI features
• Simplify flows so non-technical customers can launch
• Coordinate with distributed teams in India
• Drive adoption, conversion lift and customer satisfaction on releases

Skills

Product management

B2B SaaS

AI features shipped

LLMs & agents

Startup PM experience

English proficiency

Job description

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.