Product Manager / Analyst

Responsibilities

• Product Manager / Analyst — Analytics & ML
• US ARR grew five-fold in 2025 and the company is approaching $5M ARR. Maestra is founder-funded, around 40 people, and building a long-term profitable business on the US market rather than optimizing for the next round.
• We’re hiring a hands-on product manager / analyst to own the data side of the platform: merchant-facing reporting, experimentation methodology, and ML-powered product recommendations.
• There is no dedicated data science team. You own the math and the experiments; R&D implements them in production. You report directly to the founder-CEO, who acts as CPO, with regular 1:1s, and another product manager will help you onboard.
• Merchant-facing analytics and the semantic layer. You design the metrics and reports across every product area — subscriber source attribution, loyalty program economics, recommendation performance, popup funnels, segment comparison. You take a report from raw-data reality to shipped product: spec the semantic layer (metrics, slices, aggregates, partitions), prototype it in SQL, hand it to engineering. And you untangle the methodology dead ends — cross-brand attribution, machine versus human email opens, multi-currency revenue, “why does this report disagree with the admin panel.”
• AI-first. We expect heavy use of AI for SQL, Python, ML and, well, everything. AI writes — you verify. The statistics, the experimental design and the data model live in your head, because you are the last line of defense before a number reaches a customer.
• The team. Around 40 people in total; product and R&D is ten engineers, three product managers and the founder. You work horizontally with customer success and the other product managers rather than through layers — decisions happen in days, not quarters, and what you ship reaches real merchants within weeks.
• There is no analytics team to inherit and none to manage — this is a senior individual contributor role, and the three areas above currently have no owner. Maestra is founder-funded and not a VC-track business: skill growth here is close to guaranteed, while career and compensation growth track the company’s growth rather than a funding timeline. If you want a mature data platform to run and a defined ladder to climb, this isn’t that role. If you want to define how a fast-growing product measures itself, it is.

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