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Salary
≈ $154k – $308k per year (Estimated)
Location
Hybrid (New York, United States)
Seniority
Senior · 5+ years exp
Employment
Full-Time

Confirmed on the employer's own hiring board on Nov 1, 2026. First seen by Alion on Oct 31, 2026. Clera scores B on the Alion truth index.

Overview
Company
Impact
Profile match
Clera is a San Francisco company that runs an AI recruiting platform positioned as a talent agent rather than a job board, matching engineers and other technical candidates to roles at venture-backed startups. Its system reads a candidate's background and preferences, then represents them to hiring teams at companies funded by firms such as Andreessen Horowitz, Y Combinator, Index Ventures and General Catalyst, compressing the introduction step that traditional headhunting handles manually. The model is aimed at the segment where recruiter fees are highest and candidate supply is thinnest, and the platform handles screening, scheduling and pipeline tracking for both sides of the match.
Backed by TU Berlin

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 connect customer needs with product and engineering, guiding enterprise deployments of AI systems that depend on reliable, governed business data.

What You'll Do

  • Lead customer discovery to understand data architectures, operating constraints, and deployment requirements.

  • Scope and deliver proofs of value from technical validation through production commitments.

  • Run product demonstrations, address technical objections, and discuss architecture with senior engineering and business stakeholders.

  • Develop repeatable materials and approaches for discovery, demonstrations, objection handling, and reference architectures.

  • Turn customer edge cases and technical constraints into actionable product feedback for engineering.

  • Partner with machine learning and infrastructure teams to deliver deployments aligned with customer requirements.

  • 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 in hands-on engineering or data work.

  • A record of personally converting enterprise B2B software proofs of value into production commitments, including experience with procurement, security reviews, and multi-stakeholder buying processes.

  • Strong knowledge of data warehouses, ETL or ELT pipelines, and data governance in enterprise environments.

  • Experience leading technical discovery and demos with enterprise stakeholders, and delivering proofs of concept through production deployment.

  • Working knowledge of production LLM and agentic systems, including their current capabilities and limitations.

  • Ability to prototype with Python or SQL and communicate customer needs clearly to engineering teams.

  • Experience with knowledge graphs, semantic layers, ontologies, entity resolution, regulated or air-gapped deployments, or multiple European markets is valuable.

  • Comfort with ambiguity and startup environments; multilingual ability is a plus.

Location

Hybrid, based in New York, United States, with regular travel to customer sites across the UK and Europe.

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