Solution Architect

# Solution Architect Sigma San  Francisco, CAFull-time $135,000 – $180,000 / yearAI tools:

Claude

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You’ll lead technical strategy for complex enterprise opportunities, helping customers design Sigma solutions involving data infrastructure, security, and AI. The role combines architecture workshops and prototypes with sales support, competitive positioning, reusable team resources, and product feedback.
* Permanent* On-site
* 8+ years
* Bachelor’s degree or equivalent experience### Skills and expertiseSQLSnowflake Databricks Big Query Redshiftdbt Fivetran MCP### Key responsibilities
* Lead technical strategy, discovery, and architecture workshops for complex enterprise opportunities.
* Build prototypes and explain Sigma AI and warehouse-agent patterns to customer stakeholders.
* Develop reusable architecture and sales resources, and advise Product and Engineering on customer needs.## How this job compares

Compared with 417 open senior customer success jobs on October 10, 2026.Pay:
This job pays $135K to $180K a year. The 164 open senior customer success jobs that publish US pay start at $135K on average, so this job starts in line with them.

Similar open jobs:
We Love AI Jobs lists 417 open senior customer success jobs at 145 companies.

Remote work:
This job is on site. 144 of the 417 senior customer success jobs (35%) are remote.

AI in this role:
Medium. The role uses AI tools and works with AI systems as a regular part of the job. The posting explicitly expects daily use of AI tools and regular customer work on agents, MCP integrations, and Sigma’s AI features. The role architects and sells AI-enabled solutions rather than building or training models.## Full description

Solution Architect Sigma Computing The SA role has evolved. Here’s the version we’re hiring for.

The SA job in 2026 is not the SA job in 2023. Three things now sit at the center of how we evaluate this role. This hire has to do all three at a senior level, with the architectural depth to back it up.1. Use AI every day to do the job better.

If you are not using Claude, ChatGPT, Cursor, or equivalents to accelerate your account prep, architecture diagramming, prototype builds, RFP responses, and discovery synthesis, you are getting outworked by SAs who are. We expect this hire to treat AI tooling as default infrastructure, not novelty. Come with a point of view on what you run, why, and how you use it to compress weeks of work into days.
2. Sell AI into the account.

Buyers want to talk about agents, MCP, A2A, context engineering, and which model is powering what. You have to be fluent. You know Sigma’s AI surface cold:
Sigma Assistant in build, analyze, and plan modes, AI functions, input tables with LLM enrichment, MCP integration, and warehouse-native agent patterns. You can architect Sigma agents and warehouse agents into a customer’s stack and explain the tradeoffs to a head of data and a CISO in the same call. You also speak credibly about Claude, OpenAI, Gemini, and the broader stack the customer already runs.
3. Sell against AI.Every enterprise deal has AI competition in it. Sometimes it is Databricks Genie. Sometimes it is Snowflake Cortex Analyst. Sometimes it is a systems integrator pitching a bespoke agent built over the weekend. You know where each of these breaks at scale, where Sigma’s warehouse-native architecture wins on governance, freshness, and cost, and how to draw the line for a skeptical CDO without hand-waving.

You can defend that position in an architecture review, on a security questionnaire, and across three follow-up calls.

About Sigma Sigma is the AI runtime environment for…