Description:

About The Opportunity:

Hiring for a leader in the Enterprise AI & Analytics sector serving large enterprises across Finance, Healthcare, Retail, Manufacturing and Technology.

The team builds an enterprise-grade AI platform that enables end-to-end model lifecycle management, MLOps, predictive analytics and production ML at scale.

Role & Responsibilities:

- Own and exceed quarterly and annual revenue targets for the enterprise AI platform by identifying, qualifying and closing strategic accounts.

- Prospect and develop pipeline within target verticals (finance, healthcare, retail, manufacturing, tech) and engage C-level and senior analytics leaders (CDO, VP Analytics, Head Data Science).

- Design and present tailored value propositions and technical demonstrations that map platform capabilities to customer business outcomes (model development, deployment, monitoring, governance).

- Lead complex, multi-stakeholder sales cyclescoordinating data science, ML engineering, security, IT and procurementto convert pilots and POCs into enterprise contracts.

- Collaborate with product, solution engineering and customer success teams to scope pilots, deliver proofs-of-concept and ensure smooth handover to implementation.

- Maintain accurate pipeline and sales forecasting in CRM, capture competitive intelligence and represent the platform at industry conferences and customer events.

Skills & Qualifications:

Must-Have:

- Enterprise AI platforms.

- MLOps.

- Enterprise analytics.

- Salesforce.

- Solution selling.

- Strategic account management.

Qualifications:

- Proven quota-carrying seller with a track record of closing large enterprise deals in AI/ML, data science, MLOps or analytics software.

- Strong technical fluency across ML workflows (data prep, feature engineering, training, deployment, monitoring) to engage technical and executive stakeholders.

- Experience selling to enterprise customers across regions (global or APAC focus preferred) and managing multi-quarter sales cycles; willingness to travel ~30-40%.

Preferred:

- Databricks.

- AWS.

- TensorFlow.

Benefits & Culture Highlights:

- Competitive base salary with uncapped commission and accelerators for overachievement.

- High-growth, product-led environment with direct access to technical leaders and go-to-market influence.

- Opportunities for international customer engagement and career progression into leadership roles.

We are looking for a proactive enterprise seller who combines deep AI/ML domain credibility with consultative, outcome-driven sales execution.

If you have experience converting technical pilots into multi-year enterprise agreements and thrive in cross-functional GTM environments, this role offers significant upside and strategic impact.