Engineering Manager TLM Platform
Harper · vía remoteok · Lead
⛔ No aplica desde Argentina
El aviso declara explícitamente ubicación San Francisco, implica presencia on-site o híbrida en oficina US, y no menciona posibilidad de remote internacional.
✦ Resumen en castellano
Harper busca un Engineering Manager o Technical Lead Manager para armar y liderar el equipo de Platform (infraestructura, developer productivity y SRE). Hoy son 2 personas, crecen a 5-6 en tres meses. Necesitan alguien con mínimo 2 años gestionando equipos de 6-10 personas (o listos para crecer en eso), experiencia hands-on en AWS/GCP, troubleshooting de bases de datos, y que haya visto escala real (millones de requests/min). Ofrecen un rol híbrido entre management e IC, trabajando directo con el equipo en cloud, AI tooling y production discipline. No especifican salario.
Aviso original en remoteok
The Problem 36 million businesses in America need insuranceâit's not optional. 77% are underinsured. 40% have no coverage at all. The distribution system failed them: too slow, too opaque, too confusing. Over 90% of commercial insurance is still human-led. We're building the inverse: 90%+ AI-led, pushing toward the higher 90s. Not by patching legacy workflowsâby building AI that makes humans more effective, improves the customer experience, and eliminates friction at every step. We're adding ~1,000 customers per month. We've grown 100x since last year. We're looking to do even more this yearâand that's why we're hiring. You'll build the team and the systems the rest of engineering depends on. When they compound, everyone gets faster. The Thesis Harper runs 200+ services across Railway and AWS. We orchestrate N parallel agentic workloads. Our AI systems make thousands of decisions a day, and every decision needs to be traceable, evaluated, and cheaper to run tomorrow than it is today. The infrastructure underneath all of that is the difference between a company that scales and one that stalls. Great platform engineering here isn't invisibleâit's the reason product ships fast. When observability catches a silent failure before a customer does. When a pooling layer makes connection exhaustion a non-issue. When developer velocity doubles because someone built the…
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