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Forward Deployed Engineer

Recruiting From Scratch
7 days ago
Full-time
Remote
United States
$200,000 - $300,000 USD yearly
 
Recruiting from Scratch is a premier talent firm that focuses on placing the best product managers, software, and hardware talent at innovative companies. Our team is 100% remote and we work with teams across the United States to help them hire.

Founding Engineer (Full-Stack)

  • Location: San Francisco, CA
  • Company Stage of Funding: Seed Stage / AI Infrastructure Startup
  • Office Type: On-site (5 days/week in SF)
  • Salary: $200,000 – $300,000 Base
  • Equity: 0.2% – 1%
  • Bonus: First submission bonus available
  • Visa: No new sponsorships (transfers only)

Company Description

  • Our client is building the AI operations platform for the physical economy across logistics, transportation, retail, and manufacturing.
  • The company is building AI agents that automate operational workflows traditionally managed through spreadsheets, emails, phone calls, and ERP systems.
  • Founded by Obaid Khan, who previously co-founded Motive (KeepTruckin) and helped scale it from $0 to $500M ARR and a $5B valuation.
  • Raised a $15M seed round backed by Base10.
  • Already has live enterprise customers and multiple $1B+ and $2B+ enterprise deals in late-stage discussions.
  • Extremely early-stage and high-ownership engineering environment with only ~10 employees today.
  • Founding engineers directly influence architecture, product direction, integrations, and customer workflows.
  • Strong product and engineering leadership pedigree from Facebook Messenger, Airbnb, Discord, and other top product organizations.
  • Building deeply technical AI agent orchestration systems integrating LLMs, voice automation, browser automation, and enterprise workflows.

What You Will Do

  • Build and scale AI-native workflow orchestration systems for enterprise operations teams
  • Develop full-stack product features across backend infrastructure and frontend user experiences
  • Build integrations with enterprise systems including Salesforce, Outlook, ERPs, TMS platforms, and operational tooling
  • Design and implement AI agent workflows, automation systems, and orchestration layers
  • Build and harden platform capabilities involving voice, browser automation, and multi-agent systems
  • Own projects end-to-end from customer requirements gathering through production deployment
  • Work directly with enterprise customers to understand workflows and operational pain points
  • Translate customer requirements into scalable product capabilities and platform improvements
  • Ship frontend experiences in React for operational AI workflows
  • Build backend-heavy systems using Node.js, TypeScript, Python, and cloud infrastructure
  • Reverse-engineer customer systems and rapidly prototype integrations
  • Collaborate closely with the founding team on product direction and technical architecture
  • Operate in a highly autonomous, fast-paced startup environment with high ownership
  • Build V1 systems quickly with minimal process overhead
  • Contribute directly to technical decisions that shape the long-term platform architecture

Ideal Candidate Background

  • 3+ years of full-stack engineering experience OR 2+ years exclusively at VC-backed startups
  • Strong product-oriented engineering background with measurable ownership
  • Experience shipping consumer, prosumer, or internal-facing products end-to-end
  • Strong TypeScript, Node.js, and React engineering skills
  • Experience working across both backend systems and frontend applications
  • Experience with AI agents, LLM integrations, automation systems, or AI tooling
  • Familiarity with prompt engineering, AI workflows, or agentic systems
  • Experience integrating enterprise APIs, third-party systems, or operational tooling
  • Strong startup execution mentality with ability to move quickly and independently
  • Comfortable operating in ambiguous, high-intensity startup environments
  • Strong communication and product thinking ability
  • Experience owning medium-to-large projects with measurable business impact
  • Ability to collaborate directly with customers and product stakeholders
  • Strong systems thinking and architectural reasoning skills

Strong Signals

  • Experience at high-growth startups or elite product engineering companies
  • Experience at companies like Stripe, Figma, Ramp, Discord, Notion, Rippling, Retool, Scale AI, Cursor, or AI-native startups
  • Experience building AI agents, automation systems, or workflow orchestration platforms
  • Founder or early-stage startup engineering experience
  • Strong product ownership and customer empathy
  • Experience building integrations with enterprise platforms and APIs
  • Strong React + Node.js product engineering depth
  • Experience using AI coding tools like Claude Code or Cursor
  • Evidence of strong product intuition and UX thinking
  • Fast execution speed and strong engineering autonomy
  • Experience working directly with customers or operational workflows
  • Demonstrated startup grit and ability to wear multiple hats
  • Strong communication and concise technical articulation
  • Background in logistics, operational tooling, or workflow automation is a plus
  • Experience building scalable AI-enabled products from scratch

Compensation and Benefits

  • Base salary: $200,000 – $300,000
  • Equity: 0.2% – 1%
  • Highly impactful founding engineering opportunity
  • Direct ownership over product and platform architecture
  • Opportunity to work closely with experienced startup founders and operators
  • Extremely fast-moving startup environment with significant career upside
  • Ability to shape the future of AI agents for the physical economy
  • Strong customer exposure and product ownership from day one
  • Small, talent-dense engineering team with rapid iteration cycles

Why Join

  • This is a rare opportunity to join an extremely early-stage AI startup with strong traction, elite founder pedigree, and a massive market opportunity.
  • Engineers here operate with massive ownership and directly shape the product, customer experience, and technical direction.
  • The company is attacking operational workflows in trillion-dollar industries that are highly underserved by modern AI tooling.
  • If you enjoy building AI-native products, shipping quickly, solving operational problems, and working closely with customers, this role offers exceptional scope and upside.
  • Strong combination of technical depth, product ownership, customer exposure, and startup intensity.