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.