$180,000–$220,000
Forward Deployed Engineer
Posted by Clera · open on Ashby as of
Pay not postedNew York, NYHybridFull-time
Leads technical customer engagements for an early-stage enterprise AI infrastructure company, taking proofs of value from discovery through production deployment.
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At a glance
Posted base pay
Not posted
Median $190K
Senior FDE postings1,861 postings · middle 50% of posted pay$160K–$220KThe work
Builds what the customer runs
Balance Mixed
Project stages
- Pre-sales
- Proof of concept
- Implementation
- Operations (not covered)
Travel Required, amount not stated
- Coding
- Prototypes and scripts
- Builds for
- External customers
- Level
- Senior
- Role
- Technical lead
What they ask for
Experience
Background
Visa
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More like this
Pay not posted
$160,000–$190,000
The job description from Clera
Posted by Clera on
About the Role
Join an early-stage enterprise AI infrastructure company as the technical lead for customer engagements across the UK and Europe. You will connect customer environments with product and engineering teams, taking technical proofs of value from discovery through production deployment.
What You'll Do
- Lead customer discovery to understand data architectures, operational constraints, and business needs.
- Scope and deliver proofs of value, including technical validation and plans for production adoption.
- Run product demonstrations, respond to technical objections, and guide architecture discussions with senior stakeholders.
- Develop repeatable pre-sales materials, discovery frameworks, and reference architectures.
- Translate customer requirements and edge cases into actionable feedback for product and engineering teams.
- Partner with machine learning and infrastructure teams to deliver deployments that meet customer expectations.
- Travel regularly to customer sites across the UK and Europe.
What We're Looking For
- At least 5 years of professional experience, including 2 to 3 years building or delivering technical data systems.
- Experience in forward-deployed engineering, solutions architecture, deployment strategy, or customer-facing data and AI delivery.
- A track record of personally taking enterprise proofs of value through to production commitments, including navigating procurement and security reviews.
- Strong knowledge of modern data stacks, including warehouses, ETL/ELT pipelines, and data governance.
- Production experience with LLM or agentic systems, plus sound judgment about their capabilities and limitations.
- Experience leading technical discovery and demos with enterprise stakeholders and translating customer constraints into product feedback.
- Python or SQL skills sufficient to prototype solutions with customers.
- Knowledge of knowledge graphs, semantic layers, ontologies, or entity resolution is beneficial. Experience in regulated or air-gapped environments, European markets, or early-stage companies is also valuable.
Compensation & Benefits
Visa sponsorship is not available.
Location
Hybrid role based in New York, New York, with regular travel to customer sites across the UK and Europe.
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