Forward Deployed Engineer

Description

Your work days are brighter here.

We’re obsessed with making hard work pay off, for our people, our customers, and the world around us. As a Fortune 500 company and a leading AI platform for managing people, money, and agents, we’re shaping the future of work so teams can reach their potential and focus on what matters most. The minute you join, you’ll feel it. Not just in the products we build, but in how we show up for each other. Our culture is rooted in integrity, empathy, and shared enthusiasm. We’re in this together, tackling big challenges with bold ideas and genuine care. We look for curious minds and courageous collaborators who bring sun-drenched optimism and drive. Whether you're building smarter solutions, supporting customers, or creating a space where everyone belongs, you’ll do meaningful work with Workmates who’ve got your back. So, if you want to inspire a brighter work day for everyone, including yourself, you’ve found a match in the company, and we hope to be a match for you too.

The Forward Deployed Engineering (FDE) organization sits at the intersection of Product, Engineering, and customer execution across Agent Factory, Sana, Data Cloud, and the Developer Platform. When the company launches new AI agents and platform capabilities, early deployments surface complex real-world challenges, from unstructured tenant data and intricate configurations to edge-case enterprise workflows.

The Developer Platform FDE team focuses on agent development: custom AI agents and agentic apps that run on the company rails and surface anywhere. We work with the customers building their own agents on the company Developer Platform, using the same infrastructure the company uses to power its own agents. Every agent we help ship inherits the security model, business process controls, and audit trail of the system of record for people and money at some of the world’s largest organizations, and thanks to open protocols, those agents can show up in the company, in Sana, or inside the AI tools people already use every day.

FDEs also serve as a critical feedback engine for Product and Engineering. On the Developer Platform team, you’ll build production agents with Developer Agent, Agent-Ready Tools, and the Agent Harness, and work directly with the product and engineering teams behind those tools. Field insights, recurring customer friction, and proven build patterns become scalable, out-of-the-box capabilities that reach every developer building on the company. It’s a team where deep technical skill meets real customer impact every day, with direct influence over where the platform goes next.

About the Role

As a Forward Deployed Engineer on the Developer Platform FDE team, you’ll combine hands-on agent engineering with direct customer work. Working alongside senior FDEs, you’ll help enterprise customers build, deploy, and optimize custom AI agents and agentic apps inside live customer environments.

You’ll work with the full the company Developer Platform stack. You’ll run custom agents on the company Agent Harness, the same agent runtime and infrastructure the company uses internally. You’ll build agents, apps, and orchestrations in plain language with Developer Agent, from the company Developer Site, a VS Code–compatible IDE plug-in, or any other MCP-compatible agentic tool, such as Claude Code, Cursor, or Codex. You’ll wire agents into hundreds of governed, LLM-native Agent-Ready Tools for HR and finance data over MCP, and build with industry-leading ADKs and agent frameworks. You’ll connect agents to each other and to the places people work using open standards like MCP, A2A, and A2UI, alongside REST APIs. And you’ll do it with governance built in, not bolted on, through the company Extend AI, the Agent System of Record, Agent Passport, and the company Data Cloud.

You’ll work across the full deployment lifecycle alongside senior FDEs, AI Deployment Architects, Product Managers, and the company Services leads. You’ll help drive immediate customer success while building deep expertise in enterprise agent engineering, and every engagement will sharpen both your technical skills and your sense of what makes a platform great to build on.

Responsibilities

• Agent Engineering & Deployment: Build, configure, test, and debug custom AI agents and agentic apps inside live enterprise tenants, working against live data, business processes, and security configurations.
• Customer Discovery & Solution Support: Participate in technical discovery sessions with customer stakeholders, and help translate business requirements into product configurations, POCs, and integration specs.
• Developer Toolkit Feedback: Be a hands-on, everyday user of Developer Agent, Agent-Ready Tools, and the Agent Harness. Document bugs, edge-case failures, and friction points with clear reproduction steps and context, and share them with Developer, AI, and Integration Platform product teams to improve the developer toolkit for the open the company ecosystem.
• Productization of Field Insights: Spot recurring deployment challenges and contribute fixes, reusable components, sample code, and documentation to the reference architectures, playbooks, and pattern guidance that let customers and partners build without us.
• Building Total Agentic Systems with Fellow FDEs: Work with FDEs across the company’s other agent areas, including first-party agents, Sana, Data Cloud, and Deployment AI, to deliver complete agentic systems. For example, you might help pair a custom agent built on the Developer Platform with the company’s first-party agents, orchestrate them through Sana over A2A, and ground them in Data Cloud.
• Engagement Milestones & Delivery: Own defined technical workstreams within customer engagements and help guide them through structured milestones, from kickoff to graduation, within standard 6-month deployment cycles. The company Services owns the customer project.

Requirements

• Basic Qualifications
• Experience: 5+ years of experience in Forward Deployed Engineering, Solutions Engineering, Technical Consulting, or Software Development.
• Agent Engineering: Hands-on experience building with LLMs or agentic systems, whether in professional, academic, or personal projects, such as tool and function calling, prompt and context engineering, retrieval-augmented generation, or agent orchestration.
• Technical Execution: Hands-on coding and debugging skills (for example, Python, Java, or similar), with a working understanding of REST APIs, object-oriented design, and integration patterns.
• Customer Interaction: Experience working directly with customers or business stakeholders on technical deployments, troubleshooting, or integrations.
• Travel: Willingness and ability to travel up to 20% to customer sites as needed.
• Other Qualifications
• Product Mindset: Curiosity about why problems happen, and the ability to recognize when a one-off customer issue points to a broader product need.
• Communication: Strong verbal and written technical communication skills; able to explain technical issues clearly to both technical and non-technical audiences.
• Ambiguity & Agility: Thrives in fast-paced environments with evolving requirements across Product, Engineering, Services, and Sales teams.
• Collaboration: A highly collaborative, low-ego team player who learns quickly and works well within multi-disciplinary account and delivery pods.
• Preferred Qualifications
• Working knowledge of the company, including business processes, security and permissions, tenant configuration, or integrations.
• Experience with Model Context Protocol (MCP) or Agent2Agent (A2A), including building or consuming MCP servers.
• Experience with one or more agent development kits or orchestration frameworks.
• Familiarity with evaluating and testing LLM-powered systems.
• Experience with the company Extend, the company Orchestrate, or the company Integrations.
• Open-source contributions, side projects, or hackathon work involving AI agents or developer tooling.
• The company Pay Transparency Statement
• The annualized base salary ranges for the primary location and any additional locations are listed below. The company pay ranges vary based on work location. As a part of the total compensation package, this role may be eligible for the company Bonus Plan or a role-specific commission/bonus, as well as annual refresh stock grants. Recruiters can share more detail during the hiring process. Each candidate’s compensation offer will be based on multiple factors including, but not limited to, geography, experience, skills, job duties, and business need, among other things. For more information regarding the company’s comprehensive benefits, please click here .
• Primary Location: USA.CA.Pleasanton
• Primary Location Base Pay Range: $148,000 USD - $222,000 USD
• Additional US Location(s) Base Pay Range: $123,900 USD - $222,000 USD
• Our Approach to Flexible Work
• With Flex Work, we’re combining the best of both worlds: in-person time and remote. Our approach enables our teams to deepen connections, maintain a strong community, and do their best work. We know that flexibility can take shape in many ways, so rather than a number of required days in-office each week, we simply spend at least half (50%) of our time each quarter in the office or in the field with our customers, prospects, and partners (depending on role). This means you'll have the freedom to create a flexible schedule that caters to your business, team, and personal needs, while being intentional to make the most of time spent together. Those in our remote "home office" roles also have the opportunity to come together in our offices for important moments that matter.
• Pursuant to applicable Fair Chance law, the company will consider for employment qualified applicants with arrest and conviction records.
• The company is an Equal Opportunity Employer including individuals with disabilities and protected veterans.
• The company is committed to providing reasonable accommodations for qualified individuals during our application process, in order to perform one or more essential functions of their job, as well as regarding the use of AI tools for employment decision-making to any degree. Please see below for more details including how to request an accommodation as a qualified veteran, due to a disability or for religious reasons, or as otherwise provided under applicable law.
• The company prohibits taking adverse action against any candidate or employee for reporting a possible violation of this policy, requesting one or more work accommodations, exercising a privacy right, or cooperating in an investigation in accordance with applicable law. Any employee who retaliates against a candidate or employee for doing so may be subject to disciplinary action, up to and including termination of employment, to the fullest extent allowable under applicable law.
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