Forward Deployed Engineer

What You’ll Do

• Design and deploy AI solutions. Work closely with customers to translate their challenges into functional agents, integrating APIs and data sources to automate real business processes.
• Prototype fast, iterate faster. Build the first version quickly, get it into production, and refine based on real-world feedback.
• Collaborate deeply. Partner with customer teams across engineering, product, and operations to ensure the agent performs, scales, and delivers measurable outcomes.
• Own end-to-end delivery. From discovery call to deployment, you’ll lead the technical build, testing, and iteration — ensuring the experience feels natural, human, and on-brand.
• Drive adoption and expansion. Share results, train teams, and embed yourself within the customer organization to uncover new opportunities for automation and scale.
• Be the face of Bland. You are the customer’s champion, their best employee, and you treat them with unreasonable hospitality. You travel on-site, get to know our customers on a human level, and develop real relationships with our champions and other stakeholders, going above and beyond to host training sessions and dinners.

Must-Have Qualifications

• 3–10 years of experience in full-stack, AI, or solutions engineering roles where you owned builds from concept to production.
• Proven experience building and integrating AI or automation features into real-world applications.
• Hands-on experience integrating LLMs or AI SDKs into web applications.
• Strong comfort working with REST/JSON, scripting languages (Python or JavaScript), and modern dev tools (Git, NPM/PNPM).
• Track record of ownership and grit — moments where you built something from scratch, solved hard problems, or exceeded expectations.
• Excellent communication skills — you can explain complex AI concepts clearly to both technical and non-technical audiences.
• Thrives in a fast-moving, high-intensity environment — motivated by challenge, curiosity, and the pursuit of great work.
• Willingness to work in-person frequently (SF HQ and customer sites) to collaborate and accelerate learning.

Nice-to-Haves

• Hands-on experience experimenting with or deploying LLM-powered tools or agents.
• Prior startup or founder experience — you know what it takes to build without a playbook.
• Curiosity about AI agent design, orchestration, and automation systems.
• Experience working directly with customers to identify pain points and turn them into shipped solutions.
• A portfolio of personal or side projects that showcase creativity, technical depth, and persistence.
• Exceptional new grads with strong ownership and ambition are welcome to apply.

Compensation & Perks

• Salary: $120k – $180k base + meaningful equity + benefits.
• Gorgeous office in Jackson Square, San Francisco (rooftop views & great coffee shops nearby).