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About the Role

This role is for an analytics professional excited about AI's potential in data utilization. You will secure technical wins, embed in major deployments, and act as a public voice for the company, sharing insights with the broader data community through practical, credible perspectives.

Responsibilities

• Own the technical evaluation with prospects and partners, including demos and proofs of concept.
• Answer hard architectural questions about governance and modern stack integration.
• Model data in the platform and build initial analyses for enterprise customers.
• Drive deployments to genuine adoption within customer environments.
• Share learnings with the wider data community through talks, videos, and how-tos.
• Collaborate with product teams to communicate new releases and features.
• Become a deep technical expert on the platform.
• Lead product demonstrations.
• Build proofs of concept against customer environments.
• Help teams understand how the platform fits into modern data stacks.
• Answer questions about architecture, governance, security, and performance.
• Work directly inside customer environments to ensure success with the platform.
• Establish semantic models and help customers adopt the platform.
• Build on top of modern data platforms using SQL, warehouse architecture, semantic modeling, and analytics engineering best practices.
• Uncover friction, challenge assumptions, and imagine better ways to build analytics.
• Identify bugs and patterns across deployments to drive product improvements.
• Write product requirements, sketch workflows, and build prototypes.
• Partner with engineering and design to shape future product development.
• Understand customer problems and contribute to solutioning.
• Share learnings through speaking at conferences, publishing technical blogs, creating videos, and contributing examples.
• Establish the company as a trusted voice in the data community.
• Build demo environments, POC playbooks, and the engagement model.
• Develop discovery-driven demos that go beyond the happy path.
• Handle technical objections and competitive positioning against legacy BI incumbents.
• Create content that teaches, not markets, such as blog posts, training videos, and walkthroughs.
• Represent the company in webinars, community threads, and meetups.

Requirements

• Senior-level experience in solutions engineering, sales engineering, analytics engineering, forward deployed engineering, or a technical field role owning the technical win.
• Fluency with cloud data warehouses (Snowflake, Databricks, BigQuery) and the modern data stack (dbt, semantic layers, analytics engineering workflow).
• Strong SQL skills and a working understanding of analytics construction, governance, and troubleshooting.
• Comfort living in SQL and a warehouse daily, even with a software engineering background.
• A visible instinct to teach and share.
• A genuine appetite to build a public voice under your own name.
• Comfort with pre-GA ambiguity.
• Drive to build a function from scratch.
• Existing following or content footprint in the data community (nice to have).
• Background at a BI or analytics vendor (nice to have).
• Hands-on time as an analyst, analytics engineer, or forward deployed engineer (nice to have).
• Experience with a forward deployed or embedded delivery model at an early-stage company (nice to have).

Skills

• Analytics
• AI
• Data Modeling
• Technical Evaluation
• Proof of Concept Development
• Architecture
• Governance
• Modern Data Stack Integration
• SQL
• Cloud Data Warehousing (Snowflake, Databricks, BigQuery)
• dbt
• Semantic Layers
• Analytics Engineering
• Product Demonstration
• Customer Engagement
• Technical Writing
• Content Creation
• Public Speaking
• Community Engagement

Work Type

• Full-time

Experience Level

• Senior-level

Benefits

• Competitive salary
• Equity

About the Company

• A well-funded startup backed by top-tier VCs.
• Opportunity to work directly with founders and customers.
• Chance to shape product decisions and company culture.
• Embraces new technologies to enhance customer experience.
• Focuses on doing great work and having fun.