About the role
You will own the product lifecycle from discovery and spec writing to delivery and post-release measurement for specific surfaces. You will work closely with engineering squads and internal domain experts to build AI-native operational tools.
What they look for
Requirements
Candidates must have 3-5+ years of experience in B2B SaaS product management with a proven track record of writing technical specs and running experiments. Proficiency in both English and Spanish is required, along with the ability to work effectively with cross-functional teams.
Benefits
Full description
About Lazo
Lazo is the U.S. back-office platform for founders — an AI-native operating system that unifies incorporation, tax, bookkeeping, legal, payroll, and fundraising. We serve a growing base of recurring customers and we're building the layer that lets a founder run a company with a fraction of the operational overhead it takes today.
We're not "a SaaS with an AI feature." Our product is a set of specialized agents doing real professional-services work, with experts in the loop. That's what you'd be building.
The Role
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.
Must-haves
- 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.
Nice to have
- 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.
How we work
Ownership, speed, clarity, relentless improvement. We communicate directly, we measure what matters, and we sign our work with pride.
We're small and moving fast toward hard deadlines with real consequences — tax seasons don't move. That means high autonomy and high accountability in the same breath.
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.
And it gets better:
🚀 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.
Lazo, we provide peace of mind to fast-growing startups by ensuring all financial, accounting, tax, and legal needs are being met while they focus on product and traction. We provide information in a timely manner, ready to be shared with investors, ensuring the startup is always investment-ready.
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