Forward Deployed Engineer

Reposted 9 Days Ago
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Palo Alto, CA, USA
Hybrid
160K-270K Annually
Mid level
Artificial Intelligence • eCommerce
The Role
As a Forward Deployed Engineer, you'll lead technical implementations for enterprise customers, build integrations, optimize AI agents, and drive product improvements while partnering with sales teams and embedding with clients.
Summary Generated by Built In
About Us

We're living through a fundamental shift in how people discover, evaluate, and purchase products. The next generation doesn't respond to traditional marketing -- they build relationships with brands through authentic social interactions, seek recommendations from communities they trust, and expect personalized experiences that feel human, not corporate.

At Nectar Social, we're building the AI-native social operating system that enables this new era of commerce. We believe every social interaction should deepen the relationship between brands and their communities while creating genuine value for both sides.

Founded by ex-Meta product and engineering leaders, we've raised over $30M in total capital from investors including GV and True Ventures. We work with brands like Oura Health, Caraway, e.l.f. Cosmetics, Kosas, OLIPOP, and many more. We're building the future of social commerce -- where community, conversation, and commerce converge.

The Role

As a Forward Deployed Engineer, you'll be the technical bridge between Nectar's platform and our most strategic enterprise customers. You'll own end-to-end technical success from initial deployment through production optimization.

This is a hybrid role combining deep technical execution with close customer partnership. You'll deploy, integrate, and optimize Nectar within complex customer environments while ensuring they realize meaningful value from the platform.

Think of it like being a startup CTO embedded with our largest customers: you'll work in small, agile teams, own high-impact technical projects end-to-end, and directly influence both customer outcomes and product direction.

What You'll Be Doing
  • 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

What We're Looking For
  • 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

Bonus Points
  • Prior experience as a Forward Deployed Engineer, Solutions Engineer, or Technical Consultant

  • Experience working with Shopify, commerce workflows, or e-commerce integrations

What We Offer
  • 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

Skills Required

  • 3+ years software engineering experience, ideally in customer-facing or platform roles
  • Strong TypeScript skills; experience with APIs, data pipelines, and system integrations
  • Experience with LLMs, AI agents, or ML systems in production environments
  • Excellent communication skills; comfortable presenting to executives and pairing with engineers
  • Startup mentality: high ownership, bias toward action, comfortable with ambiguity
  • Willingness to travel (up to 25%) to customer sites
Am I A Good Fit?
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The Company
HQ: Seattle, WA
20 Employees

What We Do

AI Community Commerce platform for social-first Brands.

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