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About the Role

Limina seeks a driven Enterprise Account Executive in New York City to expand its presence in life sciences and financial services. This role targets individuals who understand AI-native buying decisions in regulated industries and can credibly engage technical and AI leadership. The successful candidate will be a hunter, sourcing and closing net-new enterprise deals across financial services, insurance, healthcare, and technology, demonstrating patience, domain credibility, and expertise in AI adoption and data governance. This role is the go-to-market owner for AI-native use cases in life sciences and financial services across North America.

Responsibilities

Own the full sales cycle from prospecting to close for life sciences and financial services accounts, focusing on net-new logo acquisition.
Build and execute a vertical territory plan for life sciences (pharma, biotech, CROs, medtech) and financial services (banks, insurers, asset managers, fintech).
Develop executive relationships with Chief AI Officers, Heads of AI/ML, CTOs, and VPs of Engineering.
Articulate how Limina enables faster building, better model training, and confident AI deployment in regulated environments.
Lead consultative discovery conversations connecting prospect data handling across AI pipelines to Limina's solutions.
Utilize Limina's AI maturity arc as a sales framework to guide buyers toward full data governance.
Partner with Sales Engineering and Customer Success for compelling proofs of concept and smooth post-close handoffs.
Maintain rigorous CRM hygiene and provide accurate pipeline forecasts.
Represent Limina at enterprise technology, AI, and financial services events in New York and North America.

Requirements

5 to 10 or more years of enterprise B2B sales experience with a strong track record of closing complex, high-value deals.
Demonstrated success selling in SaaS, AI infrastructure, or data platform environments.
Proven ability to sell to or within AI-native companies, or AI/ML infrastructure, data platforms, or developer tooling into large enterprise accounts.
Ability to navigate long, multi-stakeholder sales cycles involving technical and AI leadership in large regulated organizations.
Genuine fluency in AI and ML infrastructure as a domain.
Hunter DNA: ability to build pipeline from scratch, prioritize with discipline, and close with conviction.
Executive presence and communication skills to command a room of senior enterprise decision-makers.
Ability to translate highly technical concepts into clear business value.
Prior experience selling into life sciences or financial services is strongly preferred.
Based in the New York City area or willing to relocate.
Comfortable with in-person executive engagement and travel as required.
Prior experience at an AI-native or ML infrastructure company (e.g., model observability, LLM tooling, vector databases, data platforms, AI developer infrastructure).
Existing network within the New York enterprise technology, financial services, or insurance ecosystem.
Familiarity with agentic AI architectures, RAG pipelines, or MCP frameworks and the data governance challenges they create.
Experience with usage-based or consumption-driven pricing models.

Skills

Enterprise B2B sales
Complex deal closing
SaaS sales
AI infrastructure sales
Data platform sales
AI/ML infrastructure fluency
Model training pipelines
RAG architectures
Agentic workflows
Data quality
Prospecting
Pipeline building
Prioritization
Closing sales
Executive communication
Technical concept translation
Life sciences industry knowledge
Financial services industry knowledge
Model observability
LLM tooling
Vector databases
AI developer infrastructure
MCP frameworks
Data governance

Location

New York City
North America
NYC tristate area

Work Type

Full-time
Remote
Hybrid

Experience Level

5 to 10 or more years of enterprise B2B sales experience

Salary/Compensations

$135,000–$150,000 base
$300,000 OTE

Benefits

Equity
Comprehensive benefits
Uncapped commission structure
Strong base salary
Equity participation

About the Company

Limina is a contextual data intelligence platform built for the AI era.
Evolved from Private AI, the world's most accurate PII and PHI de-identification engine.
Governs sensitive data across the entire enterprise AI lifecycle: classification, redaction, agentic workflows, RAG pipelines, and real-time data security.
Governs every prompt as a data transaction.
Platform pillars include data sovereignty, market-leading accuracy, and infrastructure built specifically for regulated industries.
Deploys inside client environments with no third-party data processing.
Produces audit-ready compliance outputs across HIPAA, GDPR, CPRA, PCI-DSS, and more.
Trusted by enterprise leaders including Zurich Insurance, MUFG Bank, RBC, Intact Insurance, Boehringer Ingelheim, and Deloitte.
Offers category leadership with the most accurate contextual data intelligence engine on the market.
Addresses the urgent market need for governing sensitive data within AI.
Provides platform depth with Analytics, Pipeline, Comply, Security, and Agentic solutions for a full land-and-expand motion.
Mission-driven to build infrastructure that enables responsible, compliant AI, supporting data sovereignty and privacy.
Features a growing team with deep roots in New York's enterprise technology and financial services markets.