12 semanas · intensivo
Para quien tiene plazo
Unas 8 horas por semana, en 1 ciclo centrados en las brechas que más pesan.
Carrera en 2026 y 2027
Technical product managers own products where engineering depth matters, such as platforms, APIs and infrastructure. They translate between customer and business needs and technical reality, and make trade-offs that both sides can build on.
Contenido revisado el 20 de octubre de 2026
Mid-level
Owns a technical product area, turning strategy and customer need into specs, architecture choices and experiments with engineering.
You write requirements engineers can build from, join design reviews to weigh technical trade-offs, and prioritize against competing demands using data. The step up from junior is that you are the person engineering expects to arrive with a clear spec, a ranked backlog and instrumentation already planned.
Puntuación media exigida: 64%
Product Lifecycle
Por qué: Lets you shift investment as a product matures, for example moving effort from new features to reliability and cost when growth slows, and defend that choice with metrics.
Product-Market Fit
Por qué: Lets you design validation experiments and read retention to decide whether to iterate, narrow the segment or pivot, rather than building on an unproven assumption.
Market Analysis & Positioning
Por qué: Lets you size a segment and find where competitors are weak, so positioning rests on a real gap and not on a feature checklist.
Product Vision & Strategy
Por qué: Lets you turn a long-term strategy into plans that engineering and business teams can each act on, so quarterly work visibly points at the same direction.
Technical Requirements & Specs
Por qué: Lets you write acceptance criteria and API or data requirements precise enough to avoid a rebuild after QA, bridging what the customer needs and what engineers implement.
Architecture Decisions
Por qué: Lets you take part in a design review, ask about scaling, coupling and migration cost, and flag when a technical choice would block a product goal.
Roadmap Planning
Por qué: Lets you balance customer asks, business targets and technical feasibility in one roadmap and explain what moved when a dependency slips.
Resource Allocation & Trade-offs
Por qué: Lets you rank competing requests with RICE or similar scoring and show the reasoning, so a stakeholder who loses a slot sees why and does not escalate.
Engineering Communication
Por qué: Lets you explain a priority change and its reason to engineers without losing their trust, and hear their estimates as input rather than resistance.
Cross-Functional Collaboration
Por qué: Lets you coordinate design, engineering, marketing and support on one launch so each team's deadlines line up and nothing ships without docs or support readiness.
Product Instrumentation & Analytics
Por qué: Lets you define the event schema for a feature before it is built, so product health can be read from day one instead of retrofitting tracking after launch.
A/B Testing & Experimentation
Por qué: Lets you size, run and read an experiment correctly, so you do not ship a change on a result that was only noise from a too-small sample.
Cada nivel de esta carrera corresponde a una ruta de estudio. Lee gratis el mapa completo de temas y luego mide tu nivel.
12 semanas · intensivo
Unas 8 horas por semana, en 1 ciclo centrados en las brechas que más pesan.
40 semanas · regular
Unas 4 horas por semana, en 3 ciclos. Cada ciclo lleva lo que quedó pendiente del anterior.
Technical product managers own products where engineering depth matters, such as platforms, APIs and infrastructure. They translate between customer and business needs and technical reality, and make trade-offs that both sides can build on.
Technical Product Manager está mapeado en 4 niveles: Junior, Mid-level, Senior y Expert. Abre cada nivel arriba para ver las habilidades que debe demostrar.
El plan tiene 2 ritmos: 12 semanas por nivel, con unas 8 horas por semana (intensivo) y 40 semanas por nivel, con unas 4 horas por semana (regular).
Una sesión de estudio para cada tema nuevo, a tu nivel.
Clases prácticas de uso de IA en el día a día de tu carrera.
Cada requisito se demuestra midiendo, no marcando una casilla.
Al final de cada ciclo ves qué avanzó y qué pasa al siguiente.
Un diagnóstico corto mide las habilidades que ya tienes. El recorrido empieza ahí.