Forward Deployed Engineer

Big Days Truck Accessories

. Run technical demos and discovery sessions with enterprise buyers, from data platform leads to CIOs .

Posted 9/18/2026full-timeNew York City • New York • United StatesMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in pre-sales processes, including technical demos and customer engagement, while effectively translating complex data environments into actionable insights for engineering teams. Proficient in navigating enterprise B2B sales cycles and collaborating with technical stakeholders to drive successful product deployments.

Highest-signal resume keywords

Pre-Sales Playbook DevelopmentEnterprise B2B Software ExperienceModern Data Stack FluencyProofs of Value ConversionCustomer Engagement and Technical Demos

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Data Platform UnderstandingLLM Deployment KnowledgePython ProficiencySQL ProficiencyKnowledge Graphs ExperienceSemantic Layers UnderstandingEntity Resolution ExperienceRegulated Environment ExperienceTechnical Proofs of ValueArchitecture Discussion Credibility

Soft Skills

Comfort with AmbiguityIndependent WorkingStrong Communication SkillsInterpersonal SkillsAbility to Challenge Architecture

Industry Keywords

Enterprise Data EnvironmentsMulti-Stakeholder BuyingSales Cycle UnderstandingProcurement KnowledgeCustomer Site Travel

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

Run technical demos and discovery sessions with enterprise buyers, from data platform leads to CIOs
Build and own the pre-sales playbook, including demo narratives, discovery frameworks, objection handling, and reference architectures
Own the competitive landscape against Palantir, hyperscalers, and semantic layer vendors
Drive proofs of value from scoping through signed proof of concept
Translate customer environments and edge cases into structured product feedback for engineering
Partner with ML and infrastructure engineers on deployments
Act as the technical voice of the customer internally and zaimler externally
Understand customer data environments and demonstrate how AI agents can reason over enterprise data
Travel regularly to customer sites across the UK and Europe

Requirements

What you’ll need

5+ years total experience, including 2 to 3 years in a hands-on technical or data role before moving into a customer-facing one
Enterprise B2B software background
Understanding of long sales cycles, procurement, security review, and multi-stakeholder buying
Track record converting technical proofs of value into production commitments
Fluency in the modern data stack, including warehouses and pipelines
Working knowledge of deploying LLM and agentic systems in production
Credibility with senior engineers and ability to discuss and challenge architecture
Strong understanding of room dynamics, budget holders, veto holders, and champions
Comfort with ambiguity and working independently on customer sites
Regular travel to customer sites across the UK and Europe
Experience with knowledge graphs, semantic layers, ontologies, or entity resolution is nice to have
Experience with regulated or air-gapped environments is nice to have
Python or SQL proficiency is nice to have
Prior startup or zero-to-one experience is nice to have
Multilingual ability or experience selling across multiple European markets is nice to have

Benefits

Comp & perks

Opportunity to be an early hire building the EMEA pre-sales playbook
Direct influence on product roadmap through customer feedback
Close collaboration with founding team
Opportunity to build the European field motion and region
High ownership and direct impact on enterprise accounts