[Hiring] Product Manager @Lazo US

Role Description

We're hiring a Product Manager from problem discovery with real users and internal experts, through spec, delivery, and post-release measurement. This is a hands-on IC role. You won't manage people. You will own outcomes: you'll sit with the squad, write the spec, defend the acceptance criteria, test the thing before it ships, and come back with the numbers afterward.

Reports to: Head of Product & Engineering

Works daily with: engineering squads, external clients and internal client teams (tax, bookkeeping, legal, CS) who are the operators using what you build

Location: Remote (Americas time zones)

What you'll own

• Discovery:
  • Run continuous discovery: interviews with founders, shadowing internal operators, watching real workflows end to end.
  • Turn what you find into sharp problem statements — sized, with a hypothesis, not a wishlist.
  • Bring the "why now" and the trade-off, not just the ask.
• Specs & delivery:
  • Write specs in our SDP format: Outcome → Behavior → Acceptance. If the acceptance criteria aren't testable, the spec isn't done.
  • Negotiate and sign the Convenio with your internal client team — the versioned pact that defines scope, limits, responsibilities, and success criteria before we build. You'd own it for your surfaces.
  • Work inside the squad's cadence: grooming, prioritization, unblocking, and QA. You test before your users do.
  • Cut scope out loud. Say what's not in the release and why.
• Measurement:
  • Instrument your own funnels. Activation, adoption, retention, time-to-value for the surfaces you own.
  • For AI/agent features: define quality and accuracy thresholds, build the eval set, track drift, and know when a human needs to be in the loop.
  • Bring numbers to weekly review. Kill things that don't move.
• Feedback loops:
  • Own the voice-of-customer channels for your area: in-product feedback, CS escalations, beta cohorts.
  • Close the loop publicly — release notes, changelog, what shipped and what didn't.
• Experiments:
  • Design and run PLG experiments on onboarding, self-serve activation, and packaging for your surfaces.
  • Full ownership of the experiment: hypothesis, instrumentation, readout, decision.

Qualifications

• 3–5+ years in Product Management in B2B SaaS, owning a surface end to end. No people-management experience required.
• Track record of writing specs engineers can build from without translation.
• Comfortable with product analytics: events, funnels, cohorts. You can pull your own data and don't wait for someone to build you a dashboard.
• You've run real experiments — not just shipped features and hoped.
• You work well with domain experts who know more than you about their domain, and you can extract a workflow from someone who's never described it before.
• Professional English and Spanish, written and spoken.
• You use AI tools daily as part of how you work, not as a novelty.

Requirements

• Operations-heavy or compliance-centric domains: finance, tax, payroll, legal, accounting.
• Experience shipping AI/LLM features to production, with real quality metrics and human-in-the-loop design.
• Technical enough to read a schema, follow an API contract, and write a decent Gherkin scenario.
• Familiarity with EOS-style operating rhythms (Rocks, weekly scorecard) and Monday-based delivery tracking.

Benefits

• 💰 Compensation in USD.
• 🧑‍💻 #Flexible work culture - we focus on goal achievement!
• 📍 100% remote.
• 🏖️ 3 weeks of vacation.
• 🧑‍🎄 Week off between Christmas and New Year's Eve.
• 💆 Health benefits.
• 🎂 Birthday day off.
• 👪 Marriage leave, maternity/paternity/adoption leave.
• 🚀 Develop in a fast-paced and challenging environment.
• ⭐ Be part of a highly committed team with an excellent work environment.
• 🌎 Work for one of the most challenging ecosystems: the United States.