Leads end-to-end customer implementations for AI healthcare scheduling platform, managing deployments, configurations, stakeholder coordination, and post-launch account health. Requires 3+ years B2B SaaS implementation experience and semi-technical fluency.
135k – 180k
On-site3+ YOESolutions Architecture
About the role
Responsibilities
Own implementations end-to-end: Run customer deployments from kickoff through go-live, lead discovery sessions, collect scheduling rules and workflows, build project plans, coordinate across engineering and customer stakeholders.
Professional Services Consultant responsible for leading customer onboarding, platform configuration, API integrations, technical training, and optimization of Kustomer's conversational CRM and AI tools to ensure successful implementations and high adoption. Requires 5+ years consulting experience in SaaS/CX, technical aptitude with integrations and AI, and strong project management skills.
135k – 155k
Hybrid5+ YOESolutions Architecture
Integrations Engineer
CoastNew York, NY
Integrations Engineer building and supporting mission-critical API integrations with ERPs, telematics, accounting, and HRIS systems to drive enterprise customer onboarding, adoption, and revenue expansion at Coast. Requires 4+ years experience with strong backend and API skills.
Leads technical implementation for enterprise housing customers, owning presales discovery, platform configuration, integrations, and go-live. Partners with sales and success teams, requiring 3+ years in solutions/implementation engineering and strong API/SQL skills.
135k – 185k
On-site3+ YOESolutions Architecture
AI Forward Deployed Engineer
Regal.aiNew York, NY
Leads end-to-end deployment of Voice AI Agents for customers, owning product vision, technical integrations with APIs/webhooks/databases, and performance iteration. Requires 3+ years in technical customer-facing roles and AI curiosity.
135k – 180k
Hybrid3+ YOESolutions Architecture
Solutions Architect
TypefaceUnited States
Solutions Architect translates business needs into scalable AI architectures, prototypes GenAI applications, builds custom agents/workflows, and integrates with enterprise systems like Salesforce and Adobe. Requires hands-on LLM experience, prompt engineering, and customer-facing technical delivery skills.