System Architect, New Products

Wispr Flow

• $130K — $160K *
US-AnywhereRemote in San Francisco, CA
Enterprise Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 5-7 years of experience in backend or distributed systems design and development.
  • Proven track record of shipping significant greenfield systems from concept to production.
  • Experience building shared platform primitives adopted by multiple teams.
  • Strong understanding of user experience, latency, quality, privacy, and trust requirements.
  • Ability to communicate architecture and trade-offs clearly across teams.

Responsibilities

  • Build shared platform primitives for agentic systems development.
  • Create infrastructure for prototyping, training, and evaluating models.
  • Develop systems for triggers and context capture across various devices.
  • Design harnesses for coordination and execution handoff between models.
  • Ensure systems are reliable and production-ready through observability and security measures.

Benefits

  • Sponsorship for H1B, O1, EB1, L1, STEM OPT, and more.
  • Commitment to a fair and accessible interview process.
  • Encouragement to apply even if not meeting every qualification.
Full Job Description
About the role

You'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 Series B
  • Advancing HCI
  • Introducing Wispr Advanced Interfaces Lab
  • Technical challenges behind Flow


Logistics

We 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.

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