Overview
Client Summary: Provides an AI-powered communications platform designed to automate workflows and interactions across multiple channels. Supports safe, compliant automation for organizations in complex, regulated environments. Delivers virtual assistants that are easy to deploy, manage, and scale. Enables consistent communication across various touchpoints such as web, mobile, and contact centers. Aims to improve user experiences, streamline operations, and generate actionable insights that drive better outcomes.
Position Responsibilities
Build, hire, and develop a high-performing team of sales engineers supporting Sales and Partnerships organizations.
Coach team members in value-based selling methodology, demonstrating excellence, and strategic scoping practices to achieve consistent results across varying experience levels.
Implement foundational infrastructure in Salesforce to ensure proper tracking, pipeline management, and reporting across the SE function.
Create standardized playbooks, frameworks, and methodologies for technical discovery, solution design, and scoping that enable team self-sufficiency.
Establish quality standards for demonstrations that showcase production-ready AI capabilities and differentiate from competitors.
Partner with VP of Sales, Revenue Operations, and Partnerships leadership to align SE strategy with revenue goals and optimize coverage models.
Serve as the critical bridge between customer-facing teams and Product/Engineering organizations, ensuring pre-sales commitments reflect technical reality.
Lead engagement on strategic, complex deals requiring senior technical leadership and provide competitive positioning guidance.
Experience & Skills Required Experience and Qualifications:
7+ years of experience in pre-sales, solution engineering, or a related technical role, including at least 2 years in a managerial or team lead position
Proven track record of building scalable processes, frameworks, and operational infrastructure.
Strong coaching and development skills with a focus on value-based selling methodologies.
Ability to deliver demonstrations to both business and technology users/audiences.
Deep understanding of APIs, integrations, telephony infrastructure, and enterprise SaaS architectures.
Experience with Enterprise SaaS sales cycles.
Experience in healthcare technology and/or ML/AI/NLU technologies strongly preferred.
Ability to balance long-term strategy with short-term needs.
Compensation Compensation $200k-$250k, Unlimited PTO, Healthcare Plan (including vision and dental), 401K, long weekends every quarter, remote working model, $150 per month for mobile and internet expenses.
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Position Responsibilities
Build, hire, and develop a high-performing team of sales engineers supporting Sales and Partnerships organizations.
Coach team members in value-based selling methodology, demonstrating excellence, and strategic scoping practices to achieve consistent results across varying experience levels.
Implement foundational infrastructure in Salesforce to ensure proper tracking, pipeline management, and reporting across the SE function.
Create standardized playbooks, frameworks, and methodologies for technical discovery, solution design, and scoping that enable team self-sufficiency.
Establish quality standards for demonstrations that showcase production-ready AI capabilities and differentiate from competitors.
Partner with VP of Sales, Revenue Operations, and Partnerships leadership to align SE strategy with revenue goals and optimize coverage models.
Serve as the critical bridge between customer-facing teams and Product/Engineering organizations, ensuring pre-sales commitments reflect technical reality.
Lead engagement on strategic, complex deals requiring senior technical leadership and provide competitive positioning guidance.
Experience & Skills Required Experience and Qualifications:
7+ years of experience in pre-sales, solution engineering, or a related technical role, including at least 2 years in a managerial or team lead position
Proven track record of building scalable processes, frameworks, and operational infrastructure.
Strong coaching and development skills with a focus on value-based selling methodologies.
Ability to deliver demonstrations to both business and technology users/audiences.
Deep understanding of APIs, integrations, telephony infrastructure, and enterprise SaaS architectures.
Experience with Enterprise SaaS sales cycles.
Experience in healthcare technology and/or ML/AI/NLU technologies strongly preferred.
Ability to balance long-term strategy with short-term needs.
Compensation Compensation $200k-$250k, Unlimited PTO, Healthcare Plan (including vision and dental), 401K, long weekends every quarter, remote working model, $150 per month for mobile and internet expenses.
#J-18808-Ljbffr