AI Deployment Lead

Clera

$110K — $150K *
Enterprise Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 3+ years of experience in consulting, finance, or operations with a focus on technical development.
  • Proficient in Python and SQL; hands-on experience with AI tools and LLM APIs.
  • Strong knowledge of data analytics, modeling, and warehousing.
  • Experience with data pipelines, ETL processes, and system integrations.
  • Ability to manage and analyze messy, real-world data in complex environments.
  • Excellent communication skills, comfortable with executives and operational teams.
  • Autonomous, proactive, and results-oriented; thrives in fast-paced setups.
  • Exposure to private equity or M&A processes is an asset.

Responsibilities

  • Own customer deployments from scoping to delivery and optimization.
  • Act as the main contact for customers, unblocking challenges and ensuring value.
  • Translate complex business problems into data models and AI solutions.
  • Collaborate with engineering to enhance the AI platform based on customer needs.
  • Support sales and identify opportunities during customer interactions.

Benefits

  • Equity options in a high-growth early-stage company.
  • Opportunities for professional growth and skill development.
  • Work with a lean team directly impacting product evolution.
Full 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.

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