About our client:

Our client is building the AI-native intelligence layer for physical operations, starting with trucking carriers. We are a team of ex-Samsara engineers and fleet operators automating the highest-volume back-office workflows (load coordination, scheduling, driver support, and more) with agentic AI. Our product is deployed with some of the largest fleets in the US, autonomously handling ~70% of tasks with strong customer satisfaction. We are small, moving fast, and backed by top investors

About this role:

They are looking for a Founding Forward Deployed Engineer to own the technical side of our enterprise sales process. You will work directly with the founders, Head of BD, and engineering team: running technical discovery, designing POCs, traveling on-site to customer locations, and supporting implementation through go live. This role blends pre-sales and post-sales, and the ideal person can flex across product, engineering, and sales depending on what the moment requires.

You'll be working on the frontier of applied AI deployment: taking sophisticated agentic systems from demo to production in complex operational environments. This means understanding customer workflows deeply, configuring AI agents to handle their specific use cases, and solving technical integration challenges in real-time - all while the technology itself is rapidly evolving.

What You'll Do

Technical Discovery and Solution Design

• Lead technical discovery calls with carrier IT, operations, and executive teams
• Understand customer workflows, systems (TMS, ELD, dispatch software), and integration requirements
• Design proof-of-concept configurations that map our AI agents to specific customer use cases
• Document edge cases and requirements to inform the product roadmap

Demos, Pilots, and Proof of Value

• Run tailored product demos tied to each prospect's workflows and pain points
• Scope and execute pilot programs with clear success metrics (call resolution rate, time savings, CSAT)
• Build ROI models showing cost savings and efficiency gains
• Troubleshoot issues during pilots and coordinate with engineering to resolve them quickly

On-Site Customer Engagement

• Travel to customer sites roughly once a month for one to two days at a time (up to 25% travel in steady state)
• Embed with customer operations teams to conduct workflow discovery and scope integrations
• Write code or prototype solutions on-site when needed to unblock deals or accelerate implementation

Technical Sales Support

• Answer RFPs, security questionnaires, and compliance documentation (SOC 2, data handling, etc.)
• Lead technical deep dives with buyer IT and security teams on architecture, data flows, and integrations
•  Build proposals, integration plans, and implementation timelines
• Address technical objections early and build internal champions

Onboarding and post-Sales

• Scope integrations (APIs, webhooks, data pipelines) with engineering for new customers
•  Support initial deployment: data mapping, workflow configuration, testing, and go-live
• Train customer teams on configuration, agent tuning, and performance monitoring

Key Requirements:

Must have:

• 2 to 5 years of experience as a software engineer or full stack engineer, ideally at a high-growth B2B company
• You have built and shipped real products end to end, not just scripts or one-off integrations
• Strong foundation in full stack development, APIs, webhooks, and system architecture
• You are an engineer who wants to talk to customers and are curious about sales and product, excited to flex into those areas over time
• High agency, you proactively identify problems and figure out solutions without being told how
• Comfortable with ambiguity and moving fast in an environment where the playbook does not exist yet
• Willing to experiment with new ways of working as AI rapidly changes how companies operate, you do not cling to a fixed process
•  Excited about traveling on-site to customer locations and being embedded in their world
• ·Scrappy and gritty, you have had to figure things out from scratch before and thrived doing it

Nice to have:

• Experience deploying AI/ML products or other complex technical systems in production
• Background in logistics, trucking, fleet operations, or adjacent industries
• Prior work as a solutions engineer, implementation engineer, or forward deployed engineer
• Experience with enterprise integrations, ETL pipelines, or middleware platforms
• Startup experience or comfort operating in fast-moving, high-autonomy environments
• Scripting and automation skills (Python, SQL, etc.)

Job Details:

Location: 5 days in-office in San Francisco, CA (when not traveling to customer sites)

Employment: Full-Time

Years of Experience: 2 - 5 years of experience

in full-stack software engineering with customer-facing deployment experience

(FDE, implementation engineer, product) in IC capacity

Tech stack TypeScript, React.js, Python, SQL, APIs, Webhooks, ETL Pipelines, TMS

Integrations, ELD Systems, Agentic AI, Full Stack Development, AWS

Visa Sponsorship: None

Compensation: $160,000K-$200,000K + competitive equity