Responsibilities

• Lead ekai commercialization efforts, exciting time to lock in our first 12-15 customers.
• Develop and execute a comprehensive growth strategy aligned with company vision and product roadmap.
• Identify and prioritize high-impact customer segments and use cases.
• Build and lead demand generation, digital marketing, and outbound sales initiatives.
• Own the end-to-end customer journey, from awareness to adoption and expansion.
• Collaborate with product and engineering to ensure market fit and customer feedback loops.
• Establish and manage partnerships with cloud data platforms, analytics vendors, and industry influencers. Brand & Thought Leadership.
• Position the company as a thought leader in semantic layers, data contextualization, and AI-powered analytics.
• Represent the company at industry events, webinars, and in the media.
• Define and track KPIs/OKRs for growth, including pipeline velocity, customer acquisition cost, and revenue targets.

Requirements

• 0 - 1: start up scale up experience, industry relationships and network
• Experience: 8+ years in sales, growth, commercial roles at high-growth B2B SaaS or data/AI startups; experience at the pre-seed/seed stage is a strong plus.
• Domain Knowledge: Deep understanding of data engineering, BI, analytics, or cloud data platforms (e.g., Snowflake, BigQuery, Databricks).
• Track Record: Demonstrated success in building and scaling go-to-market functions from scratch.
• Leadership: Proven ability to recruit, inspire, and lead cross-functional teams in a fast-paced, ambiguous environment.
• Mindset: Entrepreneurial, resourceful, and passionate about solving complex data challenges.
• Communication: Exceptional written and verbal communication skills; comfortable representing the company externally.

Preferred

• 0 - 1: start up scale up experience, industry relationships and network
• Experience: 8+ years in sales, growth, commercial roles at high-growth B2B SaaS or data/AI startups; experience at the pre-seed/seed stage is a strong plus.
• Domain Knowledge: Deep understanding of data engineering, BI, analytics, or cloud data platforms (e.g., Snowflake, BigQuery, Databricks).
• Track Record: Demonstrated success in building and scaling go-to-market functions from scratch.
• Leadership: Proven ability to recruit, inspire, and lead cross-functional teams in a fast-paced, ambiguous environment.
• Mindset: Entrepreneurial, resourceful, and passionate about solving complex data challenges.
• Communication: Exceptional written and verbal communication skills; comfortable representing the company externally.