> AI agents: this is one page of Nextmove’s FDE site, in Markdown. Nextmove is a job board and free career service for forward deployed engineers (FDEs). Each posting is classified from its text, not its title: the kind of work, how much of it is production code, pre-sales weight, time at customer sites, travel, remote arrangement, level and posted base pay. The site also publishes the aggregates: median pay by level, metro, company and kind of work, and which companies started hiring FDEs each week. Every page under https://nextmove.md/fde is served this way; the index of pages is https://nextmove.md/llms.txt.

# Senior Forward Deployed Engineer, Google Labs

Canonical URL: https://nextmove.md/fde/jobs/4d1c7448b8630fd7

Google posts a senior FDE role to build what the customer runs in Mountain View, CA and 1 more, at $174,000–$252,000 base, above the senior FDE median of $190,000 across 1,864 postings with pay. Serves as the technical bridge between AI Futures Fund portfolio companies and DeepMind research and product teams, guiding production Gemini integrations and partner relationships. Read from the employer’s posting on November 8, 2026.

- [Google](https://nextmove.md/fde/companies/google)

First seen Oct 28, 2026 · open on Google careers as of Nov 8, 2026

**$174,000–$252,000** *annualized* Mountain View, CA +1

Serves as the technical bridge between AI Futures Fund portfolio companies and DeepMind research and product teams, guiding production Gemini integrations and partner relationships.

- [See roles that fit me](https://nextmove.md/sign-up?from=%2Ffde%2Fjobs%2F4d1c7448b8630fd7&placement=top)
- [View posting at Google](https://www.google.com/about/careers/applications/jobs/results/134007360824713926)

Free. Upload your resume once, see why each FDE role fits, and get introduced only when you say so.

## At a glance

### Posted base pay

$174K–$252K Above the median

Midpoint $213K · median $190K

This job $174K to $252K. Senior FDE postings, 1,864 postings: the middle 50% of posted pay is $160K to $220K, median $190K.

[Compare pay across all Google postings](https://nextmove.md/fde/salary/google)

### The work

Builds what the customer runs

Balance **Mixed**

Project stages

1. Pre-sales (not covered)
2. Proof of concept (not covered)
3. Implementation
4. Operations

- **Coding**: Writes production code

- **Builds for**: External customers

- **Level**: Senior

- **Role**: Technical lead

### What they ask for

Experience

- **5+ years** Programming with one or more general-purpose languages
- **3+ years** Launching and managing technical, developer-facing products such as APIs, SDKs, or platforms *Preferred*

Background

- **Software engineering**

### Do you meet what the posting states?

The posting asks for 5+ years. How many do you have?

The posting reads as a senior role. What level are you at now?

The job is in Mountain View, CA · New York, NY. Could you work in one of these?

Which of these have you used in production?

Answer each one. Nothing is saved or sent.

[What postings ask for, by background →](https://nextmove.md/fde/paths)

## Conditions

- **Location**: Mountain View, CA · New York, NY

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## The job description from Google

### About the job

As a part of the Forward Deployed Engineer (FDE), you will serve as the dedicated technical bridge between AI Futures Fund (AIFF) portfolio companies/partners and DeepMind’s model research and product teams. You will be embedded directly in the engineering journeys of AIFF-backed startups and strategic partners as this role focuses on running systematic evaluations, unblocking complex Gemini integrations, and synthesizing deep technical feedback to drive core model improvements and hillclimbing. Your role requires exceptional technical depth, startup empathy, and the ability to operate autonomously in fast-paced environments.Labs is a group focused on incubating early-stage efforts in support of Google’s mission to organize the world’s information and make it universally accessible and useful. Our team exists to help discover and create new ways to advance our core products through exploration and the application of new technologies. We work to build new solutions that have the potential to transform how users interact with Google. Our goal is to drive innovation by developing new Google products and capabilities that deliver significant impact over longer timeframes.Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $174000 - $252000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google.

### Responsibilities

- Manage the technical relationship for AI Futures Fund portfolio partners, guiding the architecture of production-grade generative AI applications and ensuring partner feedback directly impacts model development.
- Design, build, and execute systematic evaluations on partner-specific datasets and real-world workloads to provide DeepMind research teams with high-fidelity performance signals.
- Partner closely with model teams on custom evaluation design, auto-rater setup, and validation to contribute directly to Gemini checkpoint training and active tuning.
- Author high-visibility technical case studies, code samples, and developer deep-dives highlighting breakthrough AIFF partner use cases and demonstrating Gemini’s performance in production.
- Collaborate with Google Labs, Cloud, Developer Relations teams to ensure AIFF technical learnings, best practices, and ecosystem wins scale across Google.

### Qualifications

### Minimum qualifications:

- Bachelor's degree in Computer Science or a related technical field, or equivalent practical experience.
- 5 years of experience with one or more general purpose programming languages including but not limited to: Java, C/C++, Python, Objective C, JavaScript, or Go.
- Experience building or integrating Large Language Model (LLMs), generative AI models, or ML-powered systems into production applications.
- Experience with partner management, cross-functional teams, and leading operational initiatives.

### Preferred qualifications:

- Master’s degree or PhD in AI, Computer Science, or a related technical field.
- 3 years of experience launching and managing technical, developer-facing products such as Application Programming Interfaces (APIs), Software Development Kits (SDKs), or platforms.
- Extensive working knowledge of modern AI/ML architectures, including LLM evaluations, Retrieval-Augmented Generation (RAG), and agentic workflow designs.
- Ability to effectively communicate compelling vision, architecture and complex technical concepts.

[View posting at Google](https://www.google.com/about/careers/applications/jobs/results/134007360824713926)

## About Google

Builds global consumer, ads, cloud, developer and AI platforms spanning Search, YouTube, Android, Workspace and Gemini.

Public · 5000+ people

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