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Senior Forward Deployment Engineer

Clera • German: B2 • Python • TypeScript • SQL • 3 days ago

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Salary

$67k – $101k per year

Location

Remote (Germany)

Seniority

Senior

Visa

No sponsorship (stated in the posting)

Employment

Full-Time

Confirmed on the employer's own hiring board on Oct 22, 2026. First seen by Alion on Oct 19, 2026. Clera scores B on the Alion truth index.

Overview

Company

Impact

Profile match

Clera

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.

getclera.com • HQ: San Francisco, United States • HR & Recruiting AI • Recruiting & Staffing • 11-50 employees • Est. 2023

Backed by TU

About the Role

Join a small, fast moving engineering team at an AI communications software company. You will lead customer deployments from requirements through production, helping ensure voice AI systems work reliably and turning deployment insights into product improvements.

What You'll Do

Translate customer requirements into robust implementation plans and production workflows.
Configure AI logic, prompts, data flows, and guardrails for live customer deployments.
Build integrations with third party systems using APIs, webhooks, OAuth, and API keys.
Develop and test glue code and features, with appropriate monitoring and logging.
Debug production issues across calls, workflows, and data, and deliver timely fixes.
Create reusable deployment templates and playbooks, and share recurring customer needs with product and engineering.

What We're Looking For

Several years of practical experience translating customer requirements into production implementations.
Hands on production experience with LLM applications, including prompting, tool use, retrieval augmented generation, evaluation, and failure analysis.
Strong coding skills for integrations and application features, plus experience with testing, monitoring, logging, and production debugging.
Cloud deployment and observability fundamentals, and a pragmatic, delivery focused approach.
German proficiency at B2 level or above. Exceptional candidates who do not meet this language level may also be considered.
Experience in a startup engineering environment is useful. Voice or telephony integrations, TypeScript or Python, SQL, automation tools, and privacy considerations are advantageous.