About the Company:
X is Alphabet’s moonshot factory. We are a diverse group of inventors and entrepreneurs who build and launch technologies that aim to improve the lives of millions, even billions, of people. Our goal: 10x impact on the world’s most intractable problems, not just 10% improvement. We approach projects that have the aspiration and riskiness of research with the speed and ambition of a startup.
About the Team:
We’re X’s moonshot for the global supply chain, applying AI to reduce waste, fragility, and inefficiency. We’re an agile team of experienced AI researchers, software engineers, and entrepreneurs working with visionary partners and customers around the world to make sure everyone has sustainable and reliable access to the food, medicine, clothing, and other goods and services they need.
We’re looking for people who are passionate about revolutionizing the global supply chain to join us at this critical growth stage. You’ll be part of a fast-paced team that has the agility and impact of an early stage company, while building on world-class Google AI technology.
About the role:
As a Forward Deployed Engineer, you will drive the on-the-ground implementation of our Enterprise AI products to completely reimagine the global supply chain. This is a highly customer-facing, builder-first role that demands a rigorous balance of strategic client partnership, and tactical, hands-on execution—writing code to develop customer-specific product extensions, build tailored solutions for unique user needs, develop robust customer data ingestion pipelines, and architect seamless integrations. Sitting shoulder-to-shoulder with daily end-users and enterprise IT, you will drive 10X economic impact by turning messy operational realities into scalable software. Acting as the engineering vanguard on the front lines, you will directly drive core platform evolution based on ground-truth realities, while extensively leveraging AI to de-bottleneck deployments and ensure rapid, frictionless launches.
How you will have 10X impact:
- Own the end-to-end technical deployment of our Enterprise AI products, acting as the definitive on-site engineering authority to deliver AI-native capabilities that transform global supply chains.
- Architect and build technical integrations, connecting or entirely replacing legacy enterprise systems via robust bi-directional data pipelines, APIs, and agent-to-agent communication.
- Navigate complex enterprise IT environments to deploy our AI platform, orchestrating rollouts across diverse cloud, hybrid, and agentic architectures to get our software live and into users' hands.
- Partner directly with clients, end-users, and IT on the ground to translate messy operational supply chain realities into concrete engineering tasks and AI-native workflows.
- Code immediate, customer-specific product adaptations, balancing rapid hands-on execution with active Platform Engineering collaboration to shape core capabilities using field realities.
- Proactively clear technical, security, and adoption hurdles, extensively leveraging AI alongside client IT teams to debottleneck the deployment process and rapidly accelerate rollout.
- Codify field solutions into reusable deployment playbooks and software blocks, bridging high-agency on-site execution with scalable core platform engineering rather than delivering one-off tweaks.
What you should have:
- BS in Computer Science, Engineering, Mathematics, Physics, or equivalent highly technical practical experience.
- 6+ years in customer-facing engineering or forward deployed roles, with a proven track record of owning hands-on technical delivery, system integrations, and implementation of AI or sophisticated SaaS.
- Practical experience with prompt engineering, building agentic workflows, and wiring up LLMs to external systems (via function calling, APIs, or MCPs) to solve complex reasoning, routing, and automation tasks in production.
- Production-grade Python or TypeScript for complex system integration, building bidirectional data pipelines to sync data and systematically strangle messy legacy systems.
- Demonstrated ability to own high-stakes technical deployments from end to end, driving rapid engineering decisions and aligning a variety of stakeholders.
- High agency in environments with high velocity, ambiguity, and minimal supervision.
It’d be great if you also had these:
- Practical experience working within supply chains, procurement, or new product development.
- Advanced technical, business, or SCM degree.
The US base salary range for this full-time position is $197,000 - $285,000 + bonus + equity + benefits. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits.
Skills Required
- Bachelor's degree in Computer Science, Engineering, Mathematics, Physics, or equivalent highly technical practical experience
- 6+ years of customer-facing engineering or forward deployed experience
- Proven experience owning hands-on technical delivery, system integrations, and implementation of AI or sophisticated SaaS
- Practical experience with prompt engineering, agentic workflows, and connecting LLMs to external systems using function calling, APIs, or MCPs
- Production-grade Python or TypeScript experience for complex system integration and bidirectional data pipelines
- Experience owning high-stakes technical deployments end to end and aligning varied stakeholders
- Ability to work with high agency in fast-paced, ambiguous environments with minimal supervision
- Practical experience in supply chains, procurement, or new product development
- Advanced technical, business, or supply chain management degree
X, The Moonshot Factory Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about X, The Moonshot Factory and has not been reviewed or approved by X, The Moonshot Factory.
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Fair & Transparent Compensation — Pay is considered competitive for core technical and senior roles, with employer-posted ranges and clear statements that total compensation includes base, bonus, equity, and benefits. Feedback suggests posted bands and explicit structure provide clarity on how pay is constructed.
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Parental & Family Support — Family support is described as generous, including paid parental leave, baby bonding, and transitional support for parents returning to work. Fertility treatments and maternity care are also covered, indicating depth in family-focused provisions.
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Retirement Support — Retirement programs include a 401(k) with a notable company match and immediate vesting of matched funds. Additional financial supports such as student loan reimbursement and coaching strengthen long-term financial security.
X, The Moonshot Factory Insights
What We Do
We create breakthrough technologies to help solve some of the world’s biggest problems. Born at Google, we got our start creating self-driving cars and smart glasses. Since then, we’ve continued to bring sci-fi ideas into reality.
