AI Deployment Lead

Clera; United States; On-site; USD 110,000 - 150,000; Full time

Benefits offered by this job

Equity stake

Job summary

Clera is seeking a high-autonomy, customer-facing role at an early-stage AI company, positioned at the intersection of customer success and product engineering. You will own deployments of agentic AI systems for mid-market and large-cap operators, reporting directly to the C-suite on a lean, fast-moving team where your work shapes the core platform.

Based in New York, this on-site role offers a base salary range of $110,000-$150,000 USD annually, plus meaningful equity.

Qualifications

• 3+ years in consulting, finance, or internal operations with tech exposure.
• Proficiency in Python and SQL; hands-on with AI tools and LLM APIs.
• Strong data analytics, data modeling and warehousing background.
• Experience with data pipelines, ETL processes, system integrations.
• Comfort with messy real-world data and multi-system environments.
• Excellent communication and business intuition for executives and operators.
• Scrappy, autonomous, and action-oriented; ship first and iterate.
• US citizenship; visa sponsorship is not available.

Responsibilities

• Own customer deployments from scoping through delivery and optimization.
• Serve as primary contact for customers, unblock work and ensure value.
• Translate business problems into structured data models and AI workflows.
• Build and extend the agentic AI platform with engineering.
• Support GTM efforts by joining sales calls and identifying expansion opportunities.

Skills

Python

SQL

Data analytics

Data modeling

Data warehousing

ETL pipelines

Cross-functional collaboration

LLM APIs

Tools

LLM APIs

AI tooling

Job description

About the Role

This is a high-autonomy, customer-facing role at an early-stage AI company, sitting at the intersection of customer success and product engineering. You'll own end-to-end deployments of agentic AI systems for mid-market and large-cap operators, reporting directly to the C-suite on a lean, fast-moving team where your work shapes the core platform.

What You’ll Do

• Own customer deployments from initial scoping through delivery and ongoing optimization, working directly with operators and finance teams to drive timelines and outcomes.


• Serve as the primary point of contact for customers, unblocking work and ensuring deployments deliver measurable business value.


• Translate ambiguous business problems into structured data models, workflows, and agentic AI systems.


• Build and extend the agentic AI platform, collaborating closely with engineering to improve core capabilities based on real customer needs.


• Support go-to-market efforts by joining sales calls and identifying expansion opportunities.

What We’re Looking For

• 3+ years of professional experience in consulting, finance, or internal operations, with a desire to develop technical skills.


• Proficiency in Python and SQL, with hands‑on experience building with AI tools and LLM APIs.


• Strong background in data analytics, data modeling, and data warehousing concepts.


• Experience with data pipelines, ETL processes, system integrations, or internal tooling.


• Comfortable working with messy, real-world data and navigating complex, multi‑system business environments.


• Strong communication skills and business intuition; at ease engaging with executives and operators.


• Scrappy, autonomous, and action‑oriented – you ship first and iterate.


• Exposure to private equity, roll‑ups, or M&A is a plus.


• US citizenship required; visa sponsorship is not available.

Compensation & Benefits

The base salary range is $110,000-$150,000 USD annually, plus meaningful equity in an early‑stage, high‑growth company. Visa sponsorship is not available.

Location

On‑site in New York, NY.