Senior Solutions Engineer
Artera
Sales & Business Development
Santa Barbara, CA, USA
USD 120k-134k / year + Equity
Responsibilities
- Technical Architecture & Deal Strategy: Serve as the technical authority during the pre-sales cycle, defining the ideal future-state architecture and ensuring seamless technical alignment between prospect ecosystems and Artera’s platform.
- Technical Discovery & Requirements Analysis: Conduct technical discovery sessions with prospects to evaluate system architecture, workflow needs, and data integration requirements.
- Workflow Design & Agentic Solutions Architecture: Architect and propose optimized solutions for healthcare workflows using Artera’s AI suite, explaining how AI can safely reason, call tools, and interact with patients via voice and text.
- Strategic Product Demonstrations: Lead compelling, value-driven demonstrations of the Artera platform for prospective clients. Go beyond feature-clicking to tell a cohesive story of how our core software and AI capabilities seamlessly orchestrate patient communication, collapse operational overhead, and improve patient access metrics.
- Rapid Prototyping & Simulations: Leverage AI tooling to rapidly construct proof-of-concepts and workflow simulations to illustrate solutions for unique use cases during the sales cycle.
- Technical Concept Communication: Translate complex AI/ML concepts (e.g., context windows, Retrieval-Augmented Generation, Model Context Protocol) into highly clear, value-driven information for clinical, operational, and executive C-suite stakeholders.
- Technical Continuity & Deployment Handoff: Act as the technical guide during the transition from sales to service rollout. Provide consultative, high-level oversight to Artera’s post-sales delivery teams to guarantee the architectural integrity of the scoped AI workflows is preserved during implementation.
- RFP/RFI & Security Review Leadership: Author definitive, technical responses to RFPs, RFIs, and security questionnaires, demonstrating how Artera satisfies both functional and compliance requirements.
Requirements
- Technical Experience: 4+ years of relevant experience in solutions engineering or technical consulting, with a strong emphasis on working in a pre-sales capacity.
- System Interoperability Acumen: Deep understanding of how systems communicate. You can comfortably read API documentation, map complex data fields, evaluate payloads/webhooks, and can pinpoint data dependencies during early-stage discovery.
- AI & LLM Literacy: Firm grasp of Agentic AI paradigms, including token limits, prompt engineering, Retrieval-Augmented Generation (RAG) data pipelines, and the Model Context Protocol (MCP) framework.
- Patient Access Domain Knowledge: Strong familiarity with healthcare operations. You understand the operational friction points surrounding centralized scheduling, patient intake/registration, and referral management, allowing you to speak the same language as healthcare operations leaders.
- Problem-Solving & Agility: Exceptional analytical skills with a collaborative approach to whiteboarding, architecture modeling, and solving edge-case workflow gaps.
Bonus
- AI Ecosystem Tooling: Hands-on experience interacting with LLMs systematically or leveraging automated dev tools (Claude Code/Co-Work, Gemini Gems, LangChain, etc.) to boost operational output.
- Healthcare Interoperability: Experience with healthcare data exchanges and APIs, specifically HL7v2 and FHIR standards.
120000 - 134000 USD a year