Member of Technical Staff

What you’ll do

• Build shared platform capabilities: customer-context models, integration and tool frameworks, permissions, evaluations, and deployment primitives.
• Build reliable backend and product systems across APIs, event-driven workflows, data models, and user-facing tools.
• Integrate with CRMs, ERPs, helpdesks, inboxes, document pipelines, and customer-owned infrastructure.
• Improve the accuracy, latency, observability, security, and cost of production AI systems.
• Work with customers and FDEs to turn repeated integration and workflow patterns into reusable product. Help build self-serve onboarding as the platform matures.
• Own systems after launch: instrumentation, failures, incident response, and iteration.
• Use AI coding tools aggressively while maintaining clear engineering judgment and accountability.

What success looks like

You ship systems customers can trust, reduce the time from a real workflow problem to production, and leave behind abstractions that make the next deployment faster.

• Strong software-engineering fundamentals and evidence that you have shipped production systems.
• Fluency in at least one modern backend language; Python and TypeScript are especially relevant.
• Comfort with APIs, relational data, asynchronous systems, testing, and cloud infrastructure.
• Practical understanding of LLM applications: retrieval, tool use, structured outputs, evals, and failure modes.
• Ability to reason from first principles, communicate directly, and operate without a detailed task list.
• Care for customer outcomes as much as elegant architecture.

Experience with enterprise integrations, document processing, workflow engines, ML systems, security, or early-stage startups is useful but not required.

Competitive salary and meaningful equity. Visa sponsorship available.

This is a full-time, on-site role in San Francisco.

Sainapse builds agent-first software for customer operations, helping teams resolve work across the systems they already use. Our production work includes customer-support automation and document and order workflows, with configurable levels of autonomy and human review.

We are also building account-intelligence capabilities that connect customer signals across systems. You will help turn hands-on enterprise delivery into more repeatable software, stronger evaluation, and easier deployment.

We are a small team with broad individual ownership. We value first-principles thinking, direct communication, thoughtful use of AI tools, and evidence of customer impact. You will work closely with founders and colleagues across product, engineering, and customer delivery.