Pay not posted
Senior Forward Deployed Engineer
Published · Updated
Pay not postedNew York, NYHybridSenior
Lead enterprise customer discovery and architecture discussions
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View posting at CleraAt a glance
Posted base pay
Not posted
Median $190K
Typical senior FDE payMiddle 50% of 1,491 postings$160K–$222KThe work
Proves it works before the sale
Balance
- Mostly building
- Mixed
- Mostly pre-sales or support
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
Tools
Visa
Less common in FDE jobs
- Coding work: Prototypes and scripts4%
- Covers pre-sales26%
- Hybrid38%
- Covers proofs of concept39%
Share of US FDE postings that state each fact.
The job description from Clera
Posted by Clera on
About the Role
Join an early-stage enterprise AI infrastructure team as its technical lead for customer engagements across the UK and Europe. You will guide enterprise customers from initial discovery through production deployment, while bringing their needs and technical constraints back to product and engineering.
What You'll Do
- Lead customer discovery to understand data architecture, technical constraints, and business needs.
- Scope and deliver proofs of value, from technical validation through production commitments.
- Run product demonstrations, answer technical objections, and lead architecture discussions with senior stakeholders.
- Develop reusable discovery frameworks, demo narratives, objection handling, and reference architectures.
- Translate customer edge cases into actionable feedback for product and engineering teams.
- Partner with machine learning and infrastructure teams to deliver deployments that meet customer requirements.
- Navigate enterprise security reviews, procurement processes, and multi-stakeholder buying decisions.
What We're Looking For
- At least 5 years of professional experience, including 2 to 3 years in a hands-on technical or data role.
- A track record of converting technical proofs of value into production commitments in enterprise B2B software.
- Strong knowledge of data warehouses, ETL/ELT pipelines, data governance, and enterprise data architecture.
- Working knowledge of production LLM and agentic systems, including their capabilities and limitations.
- Experience leading technical discovery, demonstrations, and end-to-end proofs of concept with enterprise stakeholders.
- Python or SQL skills sufficient to prototype with customers; experience with knowledge graphs, semantic layers, ontologies, or entity resolution is a plus.
- Experience in regulated or air-gapped environments, data or AI infrastructure, or an early-stage company is valuable.
- Ability to travel regularly to customer sites across the UK and Europe.
Compensation & Benefits
Visa sponsorship is not available.
Location
Hybrid role based in New York, with regular travel to customer sites across the UK and Europe.
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