System Architect, New Products

We Love AI Jobs; San Francisco (CA); Sur place; USD 180 000 - 300 000; Plein temps

Résumé du poste

Wispr is building the voice interface for computing. As a System Architect for new products, you will design core primitives for agentic systems—memory, context, tools, and execution—shaping a reference architecture used across product and ML teams in a fast-growing San Francisco environment.

You’ll create reusable infrastructure for prototyping, training, and evaluating models, ensure production readiness with observability, security, and cost controls, and collaborate with product, ML, client,

Qualifications

• Experience designing and shipping greenfield systems from ambiguous problems into production.
• Proven ability to design shared primitives adopted by multiple teams.
• Strong background in backend/distributed systems with scaling and reliability requirements.
• User-centered focus on latency, privacy, and trust.
• Ability to communicate architecture and tradeoffs clearly across product/ML teams.

Responsabilités

• Build shared primitives for agent development, including memory, context management, tools, and background execution.
• Create infrastructure for prototyping, training, and evaluating models.
• Develop systems for triggers and context capture across devices and modalities.
• Design harnesses for coordination and execution handoff between models.
• Make systems reliable and production-ready with observability, recovery, security, and cost controls.

Connaissances

Agentic systems

Memory systems

Context management

Distributed systems

Model evaluation infrastructure

Background execution

Observability

Developer tooling

Description du poste

# System Architect, New ProductsWispr FlowSan FranciscoFull-time$180,000 – $300,000 / yearUpload your resume once and Scout applies for youApply with ScoutShare this job:LinkedInXSave imageDesign and build shared systems that support Wispr’s new AI product concepts, including agent infrastructure, memory, context, tools, and execution. You’ll shape the architecture and reliability of reusable primitives adopted across product and ML teams.* Permanent* On-site### Skills and expertiseAgentic systemsMemory systemsContext managementDistributed systemsModel evaluation infrastructureBackground executionObservabilityDeveloper tooling### Key responsibilities* Build shared primitives for agent development, including memory, context management, tools, and background execution.* Create reusable infrastructure and developer tooling for model prototyping, training, and evaluation.* Make agent systems production-ready with reliability, recovery, security, and latency and cost controls.## How this job comparesCompared with 522 open senior infrastructure jobs on October 10, 2026.Pay: This job pays $180K to $300K a year. The 183 open senior infrastructure jobs that publish US pay start at $170K on average, so this job starts about 6% higher.Similar open jobs: We Love AI Jobs lists 522 open senior infrastructure jobs at 190 companies.Remote work: This job is on site. 111 of the 522 senior infrastructure jobs (21%) are remote.AI in this role: High. AI is the core of the work: building, training or deploying AI systems. The role directly builds infrastructure for AI product concepts and agentic systems, including model harnesses, memory, context, and execution handoffs. Model prototyping and evaluation are explicit parts of the work.## Full descriptionAbout WisprWispr is an AI research and product company building the voice interface for computing. AI can now reason, code, and act. Yet, humans still do the work of the interface. We think that’s backwards.Our first products are Flow, which lets you speak naturally in any application, and Notetaker, which builds context across conversations. We’re building toward an interface that can perceive, understand, and take action with earned trust. That means solving hard problems across models, systems, and product - and caring about the final human experience as deeply as the technology underneath it.We’re a talent-dense team that holds strong opinions, tests them quickly, and builds technology that sparks joy. Our goal is to build the first voice interface used every day by a billion people.About the roleYou’ll create core building blocks for AI product concepts that the team can dogfood and build on. You’ll shape a reference architecture around models, live context, memory, tools, agent harnesses, and durable execution, making crisp calls about what belongs in each layer. You’ll decide which components should become general platform primitives that other teams can adopt.What you’ll do• Build shared platform primitives for agentic systems development, such as memory, context management, tools, and background execution.• Create infrastructure for prototyping, training, and evaluating models, with reusable environments and developer tooling.• Develop systems for triggers and context capture across devices, surfaces, and modalities.• Design harnesses and primitives for coordination and execution handoff between models.• Make these systems reliable and production-ready through observability, recovery, security, and latency and cost controls.You may be a fit if• You’ve designed and shipped a significant greenfield system from an ambiguous problem through production use, then evolved it based on real failures and usage.• You’ve built shared primitives that multiple teams adopted and made deliberate choices about abstraction boundaries and developer experience.• You’ve owned backend or distributed systems with critical scaling and reliability requirements.• You start design from the user experience and its latency, quality, privacy, and trust requirements.• You’ve created alignment across product, ML, client, and infrastructure teams, communicated architecture and tradeoffs clearly, and driven decisions to closure.You do not need to have trained foundation models, built a low-level inference stack, or worked in every domain above. Exceptional depth in backend and platform systems, the ability to learn adjacent areas quickly, and demonstrated architecture-level ownership are what matter.Get to know us• Our operating principles• Our Series B• Advancing HCI• Introducing Wispr Advanced Interfaces LabLogisticsWe sponsor H1B, O1, EB1, L1, STEM OPT, and more. We can't guarantee sponsorship for every role, but if we make you an offer we'll make every reasonable effort, with help from our immigration law firm.We strongly encourage you to apply even if you don't meet every qualification. The strongest candidates we meet rarely do, so don't exclude yourself prematurely. We're rethinking how humans interact with AI, and doing that well demands diversity of perspective and experience.We're committed to a fair and accessible interview process. If you need any accommodations or adjustments, please let us know.