# Senior Solutions Architect, Commercial - San Francisco

**Company**: Temporal
**Location**: United States - Remote Opportunity
**Work arrangement**: remote
**Experience**: senior
**Job type**: full-time
**Salary**: $200,000 - $250,000 OTE
**Category**: Engineering
**Industry**: Technology

**Apply**: https://job-boards.greenhouse.io/temporaltechnologies/jobs/5037692007
**Canonical**: https://yubhub.co/jobs/job_ed4bd662-c67

## Description

We are looking for a Senior Solutions Architect to support our Commercial Sales team in a consumption-based business where customer success drives revenue growth. You'll work across the full sales cycle, from initial technical evaluations with new prospects through helping existing customers expand their use of Temporal in production.

The nature of our business means you'll spend significant time helping customers who've already adopted Temporal unlock more value by expanding into additional use cases, teams, and workloads. This is a high-velocity, technically deep role.

You'll partner with developers, architects, and engineering leaders at fast-moving companies to help them understand how Temporal fits into their existing architecture and prove out value through hands-on technical work.

You'll be working in a consumption model where usage grows over time, which means building strong technical relationships and staying engaged with accounts as they scale.

As an early member of a growing team, you should be comfortable with ambiguity, frequent context switching, and creating leverage through reusable assets that help the broader team move faster.

Must reside in San Francisco, CA

## Skills

### Required
- Strong development background with hands-on coding experience in at least one modern language (Go, Java, TypeScript, or Python)
- Deep understanding of distributed systems (reliability, observability, and fault tolerance)
- Proven experience in a pre-sales, customer-facing engineering, or solutions architecture role working with technical buyers
- Exceptional time management and prioritization skills with the ability to thrive in high-volume environments
- Enthusiasm for AI/ML technologies and eagerness to learn about emerging use cases in agentic workflows and LLM orchestration

### Nice to have
- Experience with workflow engines, event-driven architectures, or orchestration technologies (Temporal, Cadence, or similar)
- Background articulating the value of commercial SaaS offerings that compete with open source alternatives (Redis, Kafka, Databricks, etc.)
- Contributions to developer tooling, open source projects, or technical content
- Strong cross-functional collaboration skills with the ability to serve as a technical bridge between customers and internal teams
- Certifications with any of the major cloud providers (AWS, GCP, or Azure) or foundational AI model providers (OpenAI, Anthropic, or Google)