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Salary
≈ $155k – $309k per year (Estimated)
Location
Hybrid (New York, United States)
Seniority
Senior · 5+ years exp
Visa
No sponsorship (stated in the posting)
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 24, 2026. First seen by Alion on Oct 23, 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

About the Role

Join a small enterprise AI infrastructure team as its technical front line for customer engagements across the UK and Europe. You will connect customer needs with product and engineering work, guiding technical evaluations through deployment while helping establish the team's field playbook.

What You'll Do

  • Lead customer discovery to understand data architectures, operational constraints, and opportunities for AI agents.

  • Scope and deliver proofs of value from initial requirements through technical validation and production deployment.

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

  • Conduct technical deep-dives with data platform, infrastructure, and executive teams across European markets.

  • Develop reusable discovery frameworks, demo narratives, objection handling, and reference architectures.

  • Translate customer edge cases and requirements into actionable feedback for product and engineering teams.

  • Partner with machine learning and infrastructure teams to deliver deployments that meet customer expectations.

What We're Looking For

  • At least 5 years of professional experience, including 2 to 3 years in hands-on technical or data roles building systems.

  • A 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 architectures.

  • Experience with enterprise discovery, technical demos, security reviews, procurement, and multi-stakeholder buying processes.

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

  • Ability to use Python or SQL for customer-facing prototyping and to turn technical findings into structured engineering feedback.

  • Willingness to travel regularly to customer sites across the UK and Europe.

  • Experience with knowledge graphs, semantic layers, ontologies, entity resolution, or regulated and air-gapped deployments is valuable. Multilingual ability, European market experience, and startup experience are also beneficial.

Compensation & Benefits

Visa sponsorship is not available.

Location

Hybrid, New York, United States. The role includes regular travel to customer sites across the UK and Europe.

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