Forward Deployed Engineer

Who is Recruiting from Scratch: Recruiting from Scratch is a specialized talent firm dedicated to helping companies build exceptional teams. We partner closely with our clients to deeply understand their needs, then connect them with top-tier candidates who are not only highly skilled but also the right fit for the company's culture and vision. Our mission is simple: place the best people in the right roles to drive long-term success for both clients and candidates. Role Title: Forward Deployed Engineer Location: San Francisco, CA Company Stage of Funding: Series A Office Type: Onsite (4-5 Days/Week) Salary: $120K - $180K + Competitive Benefits Company Description Our client is a fast-growing, venture-backed AI startup (Series A, backed by top-tier investors including a16z and YC) transforming the logistics industry through automation and AI-driven communication tools. The company is building a next-generation platform that allows enterprises to deploy AI "workers" that handle communication across calls, emails, and messaging - helping some of the world's largest logistics companies streamline freight booking, tracking, and payments. With a strong revenue trajectory (double-digit ARR growth) and a dynamic founding team from top engineering backgrounds, this is an opportunity to join a high-impact, high-growth startup that's redefining how logistics operates in the AI era. What You Will Do As a Forward Deployed Engineer, you'll be the bridge between customers and technology - working directly with enterprise clients to design, build, and deploy customized AI automation solutions. You'll collaborate with internal teams to translate customer challenges into technical solutions that scale. You will: Partner closely with enterprise clients to integrate AI communication tools into their operations. Build and iterate on full-stack features (Python, React, TypeScript, Node.js). Develop and deploy scalable APIs and data integrations across third-party logistics systems. Work hands-on with AI/ML applications, including voice-to-text and conversational agents. Rapidly prototype and launch new product features or customer-specific MVPs. Collaborate cross-functionally with product, engineering, and customer success teams. This is a fast-paced, customer-facing engineering role where you'll see your code directly impacting mission-critical logistics operations. Ideal Candidate Background 2-6 years of professional software engineering experience, ideally with customer-facing or forward-deployed exposure. Solid foundation in Python (primary backend language). Proficiency across the full stack - React, TypeScript, Node.js preferred. Experience building AI/ML-powered applications or working with large language models. Strong problem-solving and communication skills - able to navigate complex enterprise environments. Bachelor's degree in Computer Science or related field (CS degree from a top university preferred). Preferred Qualifications Experience in logistics tech, supply chain, or enterprise SaaS environments. Early-stage startup experience (or experience operating with high autonomy). Exposure to AI communication, voice-to-text, or LLM-based tools. Demonstrated initiative through side projects or open-source contributions. Compensation, Benefits, and Other Details Salary: $120K - $180K base, depending on experience. Equity: Competitive early-stage equity package. Benefits: Comprehensive health coverage, PTO, and 401(k). Office: Onsite in San Francisco (4-5 days per week). Hiring Count: Actively hiring 8-10 engineers for this team due to rapid growth. Visa Sponsorship: Not available at this time. Why This Opportunity Is Exciting Massive Industry Impact: Transform a $9T logistics sector that remains under-digitized. Elite Backing: Supported by top venture investors including a16z and Y Combinator. Career Growth: Join early and help shape the direction of a high-velocity Series A company. Cutting-Edge Tech Stack: Work with modern frameworks (Python, React, TypeScript, Node.js) and deploy AI into real-world enterprise environments. Tangible Results: Directly see your work improving how global logistics companies communicate and operate.

Created: 2026-03-04