{"id":3644348,"url":"https://alion.io/job/latam-cent-senior-product-manager","title":"Senior Product Manager","company":{"id":678591,"name":"Latam Cent","domain":"latamcent.com","url":"https://alion.io/company/latamcent","size_band":"51-200","is_staffing_agency":true,"employer_type":"agency","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":null},"role":"Product","role_family":"Product","seniority":"senior","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_regions","remote_scope_basis":"posting_text","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":[],"countries":[],"hiring_countries":["AR","BR","CO","MX","AI","AG","AW","BS","BB","BZ","BM","BO","VG","BQ","KY","CL","CR","CW","DM","DO","EC","SV","FK","GF","GD","GP","GT","GY","HT","HN","JM","MQ","MS","NI","PA","PY","PE","PR","KN","LC"],"hiring_countries_total":49,"salary":null,"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"LLM","optional":false},{"name":"RAG","optional":false}],"status":"live","first_seen_at":"2026-11-02T20:10:28Z","employer_posted_date":"2026-11-02","last_verified_at":"2026-11-11T00:23:34Z","board_verified":true,"closed_at":null,"days_open":8,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":8},"description":"The Opportunity\nMost 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.\nWhat You’ll Own\nSet the builder’s direction, with a roadmap tied to customer results and revenue rather than a backlog of feature requests\n\nTurn customer conversations and usage data into prototypes and validated bets before engineering commits time\n\nShip LLM and agent features that pinpoint where end users drop off and recommend fixes customers can apply in a few clicks\n\nBuild the quality bar for AI features: eval suites, test and training data, and the retrieval layer behind recommendations\n\nStrip steps out of the builder until a non-technical customer can launch a flow alone\n\nKeep design and a distributed engineering team in India aligned and shipping\n\nAnswer for adoption, conversion lift and customer satisfaction on everything you release\n\nWhat We’re Looking For\n5+ years in product management, mostly in B2B SaaS, with time as an early PM at a startup\n\nA solid grasp of product-led growth: activation, onboarding, upgrade and retention mechanics\n\nAI features you have shipped to production, and the ability to speak concretely about evals, datasets, RAG, and vector or graph databases\n\nDaily use of LLMs and agents in your own discovery, prototyping and spec work\n\nEnough technical depth to weigh architecture trade-offs with engineers\n\nAt least one 0-to-1 product that you took from a blank page to launch\n\nC1+ English, written and spoken\n\nNice to Have\nProducts built around APIs, SDKs or MCPs\n\nAn engineering background, or side projects you’ve shipped yourself (AI-assisted counts)\n\nA launch that reached real adoption or revenue\n\nExperience at a digital adoption, onboarding or in-app guidance company\n\nDetails\nLocation: Remote, Latin America\n\nTime Zone: US Eastern business hours, plus early-morning availability to overlap with a team in India\n\nType: Full-time, contractor\n\nReports to: Product leadership\n\nAbout the Company\nA 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. 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