Forward Deployed Engineer

About the role

We're building the AI-native social operating system that enables the new era of commerce. This role combines deep technical execution with close customer partnership, bridging Nectar's platform with strategic enterprise customers.

Responsibilities

• Own enterprise deployments end-to-end, leading technical implementations for strategic accounts from pilot through production
• Build custom integrations with customer systems including CRMs, CDPs, e-commerce platforms, Shopify, and social platform APIs
• Configure and optimize AI agents for customer-specific workflows, brand voice, and use cases
• Translate customer feedback and field learnings into product improvements and platform features
• Partner with go-to-market teams to support sales cycles and scope technical implementations
• Embed with customers to understand their workflows, technical environments, and opportunities for automation

Requirements

• 3+ years of software engineering experience, ideally in customer-facing or platform roles
• Strong TypeScript skills and experience working with APIs, data pipelines, and system integrations
• Experience working with LLMs, AI agents, or machine learning systems in production environments
• Excellent communication skills and comfort working with both engineers and executive stakeholders
• Startup mentality with high ownership, bias toward action, and comfort operating in ambiguity
• Willingness to travel up to 25% to customer sites

Qualifications

• Bachelor’s degree in Computer Science, Engineering, or related field
• Experience with cloud services such as AWS, Azure, or Google Cloud
• Experience with CI/CD pipelines and DevOps practices

Skills

• Strong problem-solving and analytical skills
• Ability to work independently and manage multiple tasks simultaneously
• Experience with Agile methodologies and Scrum

Benefits

• Competitive compensation and early equity
• Health, vision, and dental benefits + 401(k) match
• Clear career growth opportunities as the company scales
• Free lunch in the heart of University Ave. in Palo Alto
• Deep exposure to cutting-edge AI tooling and the opportunity to shape how brands use it
• A collaborative, ambitious team defining a new category of AI-native marketing

Pay

Compensation Range: $160K - $270K

Schedule

Hybrid role with occasional travel to customer sites