Field CTO

What you'll do

• Own the technical narrative across the territory's most strategic accounts, partnered with the SAs and SEs working those deals.
• Lead executive-level architecture and AI strategy conversations with CTOs, CDOs, CISOs, and their senior technical teams.
• Run deep technical discovery and architecture workshops, and step in to unblock the opportunities no one else can move.
• Design and build production-grade prototypes and custom apps that prove out high-value use cases, including Sigma plugins, fully code-backed data apps, and AI-driven workflows using Sigma Assistant, Sigma agents, warehouse agents, and MCP integrations. Build in HTML, JavaScript, and Python, both natively in Sigma and as warehouse stored procedures.
• Lead the hardest security architecture conversations: PrivateLink, OAuth, SAML, SCIM, and the governance model behind them.
• Present Sigma's architecture and AI runtime story externally: analyst briefings, executive roundtables, conference stages, and CTO-to-CTO conversations.
• Own the technical position on the hardest RFPs, RFIs, AI risk reviews, and security questionnaires.
• Advise on integration, migration, governance, and AI patterns across Snowflake, Databricks, BigQuery, and Redshift.
• Set Sigma's competitive position against Databricks AI/BI and Genie, Snowflake Cortex Analyst, Tableau, Power BI, Looker, and AI-native entrants. Defend it with architecture and turn it into reusable assets for the team.
• Build the SA and SE playbook and the programs the field runs on: architecture patterns, AI-workflow playbooks, competitive teardowns, reference implementations, demo-build prompts, and a repeatable technical-win process.
• Package domain expertise into reusable industry assets across verticals like financial services, insurance, and gaming.
• Shape the product from the front line. Carry field intel directly to Product and Engineering leadership, write up customer patterns, secure early feature access, and influence the roadmap across the AI surface.
• Mentor SAs and SEs. Raise the technical bar of the team and accelerate the next hire's ramp.
• Run several strategic enterprise engagements at once across the territory.
• Earn and maintain product, sales, and technology certifications.
• Hit quarterly and annual targets set by your manager.

What we're looking for

• Technical depth: 12+ years in business intelligence, analytics engineering, or data platform roles, with at least 5 in a customer-facing technical leadership role (SA, Field CTO, principal SE, or senior consulting). Deep expertise in at least one cloud data warehouse: Snowflake, Databricks, BigQuery, or Redshift, and working fluency across the rest. Strong SQL and a deep command of modern data architecture: warehousing, modeling, governance, security.
• Data engineering fluency: Hands-on experience with ETL and transformation tooling like dbt, Fivetran, Matillion, or comparable, and the judgment to architect across them.
• Builder's depth: Write working code in HTML, JavaScript, and Python; build custom apps, plugins, and AI workflows end to end, both inside the product and against the warehouse.
• Security architecture: Deep command of enterprise security and identity patterns: PrivateLink, OAuth, SAML, SCIM, and the governance decisions that ride on them. Lead these conversations with a CISO.
• AI fluency at the leading edge: Daily user of modern AI tools and a credible voice on agents, MCP, A2A, context engineering, retrieval, evals, and the major model providers (Claude, OpenAI, Gemini). Position Sigma's AI stack against warehouse agents like Genie and Cortex Analyst, and against AI-native BI entrants.
• Enterprise selling: Track record of leading and closing the most complex enterprise sales cycles or large BI implementations. Partner with AEs, SAs, and SEs to win the technical decision at the executive level.
• Executive presence: Hold a CTO and a data engineer in the same room without switching levels.