Clera
Forward Deployed Engineer
About this role
A Y Combinator-backed AI startup is seeking a Forward Deployed Engineer to own end-to-end customer deployments of agentic AI solutions for the acquisitions and private equity space. You'll blend technical expertise in data pipelines and LLM integration with direct customer engagement, working autonomously on high-impact implementations.
What you'll do
- Own full-lifecycle customer deployments including scoping, data ingestion, pipeline development, and optimization
- Design and deliver data pipelines, ETL workflows, and integration systems for complex business requirements
- Collaborate with core engineering team to build and extend the agentic AI platform
- Translate business problems into autonomous software solutions using LLM APIs
- Engage directly with mid-market and large-cap customers to identify expansion opportunities
- Support go-to-market initiatives through sales calls and technical customer interactions
What they're looking for
- Python and SQL for data processing and automation
- Data pipeline and ETL workflow design
- Data warehousing platforms (Snowflake, BigQuery, Redshift)
- LLM APIs and AI frameworks (OpenAI, Anthropic, LangChain)
- Data modeling and integration across multiple sources
- Customer engagement and business communication
- Private equity, M&A, or financial operations knowledge
- Technical problem-solving in ambiguous environments
Benefits
- Work directly with C-suite leadership in a small, high-autonomy team
- Own meaningful customer relationships and deployment outcomes
- Blend technical and strategic work at the intersection of product and customer success
- Y Combinator-backed startup environment with growth potential
- On-site role in New York with established infrastructure
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Clera
Clera builds an agentic operating system that automates complex workflows and processes through AI agents, with a platform designed to simplify distributed infrastructure management for developers. The company is hiring Founding Engineers, Customer Engineers, and Product Engineers to develop both backend systems and user-facing interfaces across their AI automation products.
View all jobs at CleraLikely interview questions
- Walk us through a data pipeline or ETL project you owned end-to-end—what were the key challenges and how did you handle them?
- Describe your experience working with LLM APIs or AI frameworks. What did you build, and what surprised you about working with these tools?