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Forward Deployed Engineer (Mid-Senior Level) - AI Voice Interface Deployments

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AI Summary

Lead end-to-end deployments of AI voice interface products for customers, bridging technical and business teams to ensure production-grade implementations. Own system integrations, troubleshoot complex environments, and drive adoption while advocating for scalable solutions. Requires ownership mindset, cross-functional communication, and adaptability in dynamic settings.

Key Highlights
Own deployments from discovery to launch and adoption for AI voice interface products
Collaborate with customer engineering, IT, security, and business teams to deliver production-grade solutions
Transform recurring challenges into reusable integrations and product improvements
Key Responsibilities
Lead deployments from initial discovery through implementation, launch, and adoption phases
Build, debug, and optimize APIs, integrations, identity systems, and data environments in customer environments
Communicate technical challenges and solutions clearly to both technical and non-technical stakeholders
Advocate for optimal outcomes by pushing back on requests that lack long-term value
Identify recurring deployment challenges and propose product improvements or reusable integrations
Technical Skills Required
APIs and Integrations System Debugging and Troubleshooting Cross-Stack Technical Problem-Solving
Benefits & Perks
Equity with extended exercise windows (ISOs and RSUs)
Visa sponsorship for H1B, O1, EB1, L1, STEM OPT
Commitment to accessibility and accommodations in the interview process
Nice to Have
Experience shipping production software directly with customers
Prior experience in voice or machine learning technologies
Specific expertise in customer technology stacks

Job Description


Location

San Francisco; Remote (US)

Employment Type

Full time

Location Type

On-site

Department

Software - Product

Compensation

  • L4
  • Mid-level$180K – $220K
  • Offers Equity
  • L5
  • Senior$220K – $350K
  • Offers Equity

Equity on employee-friendly terms, including extended exercise windows and a combination of ISOs and RSUs. Ask us for more details!

OverviewApplication

About Wispr

Wispr 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 Role

Every customer brings different systems, security needs, and workflows. Forward Deployed Engineers partner with customer engineering, IT, security, and business teams to ship production-grade deployments. You’ll identify what is holding a team back, design the solution, and own it through launch and adoption.

What You’ll Do

  • Lead deployments from discovery through implementation, launch, and adoption
  • Build and debug across APIs, integrations, identity, data, and customer environments
  • Earn trust by communicating clearly and solving problems in real time
  • Push back thoughtfully when a request will not produce the right outcome
  • Turn recurring needs into product improvements, reusable integrations, and stronger playbooks

You may be a fit if

  • You’ve shipped production software directly with customers
  • You can work across the stack and go deep when systems behave unexpectedly
  • You communicate clearly across technical and business audiences
  • You stay composed when requirements are incomplete or timelines are tight
  • You take ownership through delivery and adoption

Prior experience in voice, machine learning, or specific customer technology stacks is not required.

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.

Compensation Range: $180K - $350K

What You’ll Do

  • Lead deployments from discovery through implementation, launch, and adoption
  • Build and debug across APIs, integrations, identity, data, and customer environments
  • Earn trust by communicating clearly and solving problems in real time
  • Push back thoughtfully when a request will not produce the right outcome
  • Turn recurring needs into product improvements, reusable integrations, and stronger playbooks

You may be a fit if

  • You’ve shipped production software directly with customers
  • You can work across the stack and go deep when systems behave unexpectedly
  • You communicate clearly across technical and business audiences
  • You stay composed when requirements are incomplete or timelines are tight
  • You take ownership through delivery and adoption

Prior experience in voice, machine learning, or specific customer technology stacks is not required.

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.

Compensation Range: $180K - $350K

What You’ll Do

  • Lead deployments from discovery through implementation, launch, and adoption
  • Build and debug across APIs, integrations, identity, data, and customer environments
  • Earn trust by communicating clearly and solving problems in real time
  • Push back thoughtfully when a request will not produce the right outcome
  • Turn recurring needs into product improvements, reusable integrations, and stronger playbooks

You may be a fit if

  • You’ve shipped production software directly with customers
  • You can work across the stack and go deep when systems behave unexpectedly
  • You communicate clearly across technical and business audiences
  • You stay composed when requirements are incomplete or timelines are tight
  • You take ownership through delivery and adoption

Prior experience in voice, machine learning, or specific customer technology stacks is not required.

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.

Compensation Range: $180K - $350K

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