Lead Solutions Architect

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🕒 April 4

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mpathic

11 - 50 employees

Founded 2021

🤖 Artificial Intelligence

🔌 API

☁️ SaaS

Artificial Intelligence • API • SaaS

mpathic is an AI-driven safety and analytics company that offers SaaS products and APIs to record, transcribe, analyze, and improve human–AI and human–human interactions in clinical, life‑science, and enterprise settings. Their offerings include speech-to-text transcription, PII redaction, behavior and checklist analytics, human-curated benchmarking datasets, red‑teaming expertise, and an Observing Agent API to add domain-informed guardrails for healthcare and medical agents. mpathic targets life sciences, clinical research organizations, healthcare providers, insurers, and HR/enterprise teams focused on empathy, safety, bias reduction, and compliance.

📋 Description

• Your mission is to become the technical backbone of our go-to-market motion, partnering directly with Sales to win complex enterprise deals and translating customer needs into scalable, production-ready solutions. • As our first Solutions Architect, you will operate as a true founding member of the GTM team. • You will work side-by-side with our Head of Sales/AEs to drive technical discovery, shape solutions, and de-risk deals across AI safety, evaluation, safety monitoring and human-data workflows. • This is a highly customer-facing, pre-sales role. • You will engage deeply with ML platform teams, safety/alignment leaders, and data organizations, helping them understand how mpathic integrates into their systems via APIs, human services, and our platform. • You will also define how Solutions Architecture works at mpathic: building the playbooks, demos, assets, and patterns that enable us to scale.

🎯 Requirements

• 7+ years of experience in Solutions Architecture, Sales Engineering, or similar customer-facing technical roles • Experience as a first or early Solutions Architect at a startup, with a track record of building from zero-to-one • Strong experience supporting enterprise SaaS sales, particularly API-first or platform products • Proven success working with ML/AI platform teams, data organizations, or developer-focused buyers • Experience driving complex, technical, multi-stakeholder sales cycles • Familiarity with AI safety, evaluation, RLHF, red teaming, or human-in-the-loop data workflows • Strong understanding of APIs, system integrations, and modern SaaS architectures • Comfort working with data pipelines, analytics layers (e.g., tools like cube.dev), and ML/AI workflows • Ability to build lightweight prototypes, integrations, or technical assets to support deals • Familiarity with cloud environments and deploying or integrating technical solutions.

🏖️ Benefits

• Competitive base salary with uncapped earnings potential • Equity • Company-funded health, dental, and vision insurance • 401k with 4% company match • Well-being programs • Flexible paid time off

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