AI Deployment Lead

Clera; New York (NY); On-site; USD 110,000 - 150,000; Full time

Benefits offered by this job

Equity

On-site in New York

Job summary

Clera is seeking a high-autonomy, customer-facing role at an early-stage AI company, bridging customer success and product engineering. You’ll own end-to-end deployments of agentic AI systems for mid-market and large operators, reporting to the C-suite on a lean, fast-moving team shaping the core platform.

You’ll deploy from scoping to delivery and optimization, serve as the primary customer contact, translate business problems into data models and AI workflows, and collaborate with engineering

Qualifications

• 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.

Responsibilities

• 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.

Skills

Python

SQL

Data analytics

Data modeling

ETL

Data warehousing

Cross-functional collaboration

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.