Field CTO

The Field CTO is the most senior technical voice in the field. Here's the version we're hiring for. The Field CTO sits a level above the Solution Architect. Where the SA leads the technical strategy on complex deals, the Field CTO owns the technical narrative across the territory, shapes how the market understands Sigma's architecture, and carries the credibility to win the room when the CTO, CDO, and CISO are all in it. This person does everything a senior SA does, then operates a tier higher: as a peer to enterprise executives, a force multiplier across the entire Solution Engineering team, and a direct line back into Product and Engineering. Three things sit at the center of this role. The Field CTO does all three at the highest level, with the architectural depth and executive presence to back it up. 1. Use AI every day, and set the standard for how the team uses it. The Field CTO treats AI tooling as default infrastructure and raises the bar for everyone else. You run Claude, ChatGPT, Cursor, or equivalents to compress account prep, architecture design, prototype builds, RFP responses, and discovery synthesis from weeks into days. You bring a clear point of view on what to run, why, and where it breaks. You don't just use these tools well. You teach the SE and SA teams how to use them better, and you build the workflows the rest of the field adopts. 2. Sell AI into the account at the executive level. Buyers want to talk about agents, MCP, A2A, context engineering, and which model powers what. You're fluent, and you can take that conversation to the most senior technical buyer in the building. You know Sigma's AI surface cold: Sigma Assistant in build, analyze, and plan modes, AI functions, input tables with LLM enrichment, MCP integration, Sigma agents, and warehouse agents. You architect these into a customer's stack, defend the tradeoffs to a head of data and a CISO in the same call, and frame the long-term AI strategy for a CTO who's deciding where to place a multi-year bet. You speak credibly about Claude, OpenAI, Gemini, and the broader stack the customer already runs. 3. Sell against AI, and own the position the whole team runs. Every enterprise deal has AI competition in it. Sometimes it's Databricks Genie. Sometimes it's Snowflake Cortex Analyst. Sometimes it's a systems integrator pitching a bespoke agent built over a weekend. You know where each one breaks at scale, where Sigma's warehouse-native architecture wins on governance, freshness, and cost, and how to draw that line for a skeptical CDO without hand-waving. You defend that position in an architecture review, on a security questionnaire, and across a six-month evaluation. Then you turn what you learn into the competitive teardowns and battlecards the entire field uses. About Sigma Sigma is the AI runtime environment for the modern enterprise. Teams build apps, agents, and analytics directly in Sigma, with governance and security inherited from the cloud data warehouse. No ex