Lakebase Sales Specialist Account Executive (AI)

TL;DR

Lakebase Sales Specialist Account Executive (AI): Driving adoption of hirify.global Lakebase, a fully-managed Postgres offering, for intelligent applications with an accent on operational data foundations and AI-native apps. Focus on executing complex multi-threaded sales cycles, orchestrating POCs for OLTP workloads, and scaling Lakebase proficiency across regional teams.

Location: Tokyo, Japan

Company

hirify.global is a leading data and AI company providing a Data Intelligence Platform that unifies data, analytics, and AI for over 10,000 organizations worldwide.

What you will do

• Drive new Lakebase revenue by identifying and closing opportunities in partnership with regional Account Executives.
• Articulate the value of fully-managed Postgres for platform teams, developers, and central IT to simplify operational data architectures.
• Manage complex sales cycles from initial discovery and value hypothesis through to commercial negotiation and closing.
• Orchestrate proof-of-value and POCs to validate benefits for OLTP-style workloads and AI/ML-driven applications.
• Collaborate cross-functionally with Product Management and Marketing to shape territory plans and co-selling motions.
• Enable the field by sharing best practices and success stories to scale Lakebase proficiency.

Requirements

• 7+ years of enterprise SaaS sales experience with a track record of exceeding quotas in complex deals.
• Proven success selling data platforms, operational databases (e.g., Postgres, MySQL), or AI infrastructure.
• Strong understanding of cloud-native services, microservices, and how operational data supports AI strategies.
• Ability to engage both technical stakeholders (architects, engineers) and C-level business leaders.
• Experience leading specialist or overlay motions in coordination with core Account Executives.
• Bachelor’s degree or equivalent practical experience.

Nice to have

• Specific experience with Postgres, OLTP workloads, or transactional cloud database services.
• Familiarity with lakehouse architectures and cloud ecosystems (AWS, Azure, GCP).
• Knowledge of reverse ETL, real-time decisioning, and operational analytics use cases.
• Exposure to AI-native and agent-driven applications.
• Experience in high-growth, category-creating environments.

Culture & Benefits

• Comprehensive benefits and perks tailored to the specific region.
• Inclusive culture committed to diversity, equity, and equal employment opportunity.
• Opportunity to work at the forefront of AI and operational database innovation.

Hiring process

• Evaluation based on four key dimensions: business ownership, strategic account engagement, field enablement, and market voice/thought leadership.