Overview
A pre-sales technical go-to-market role leading customers through AI-era buying by building proofs, designing HubSpot architecture and proving measurable outcomes on HubSpot's agentic customer platform.
What you'll do
- Tell compelling, outcome-led stories via demos and product-led experiences showing how customers' businesses can be reimagined on HubSpot's agentic customer platform.
- Lead discovery that uncovers pain, outcomes and requirements by engaging customers and earning the right to go deeper.
- Partner with Account Executives to map the technical buying committee, competitive landscape and path to a decision.
- Redesign customers' legacy complexity into a simplified HubSpot architecture that integrates with their wider tech stack.
- Design and build working proofs quickly with AI coding tools, Breeze AI agents and the HubSpot developer framework, scoped to clear use cases, success criteria and timelines.
- Run hands-on proofs with customers, iterating on their feedback and clearing security and integration risks to secure the technical win.
- Turn proof into a business case, ROI and use-case roadmap with a consumption plan that sizes the first commitment.
- Present results to executives and generate confidence to move forward with HubSpot Guide, and build with customers and implementation partners to ensure realization of the customer's first outcomes.
- Create reusable assets and capture field feedback to shape playbooks and the HubSpot product roadmap.
What you'll need
- Customer-facing background in solutions engineering, solutions architecture, technical consulting or implementation for SaaS platforms.
- Track record of winning complex deals or delivering solutions that moved business results.
- Ability to turn a customer's goals into a compelling, outcome-led vision backed by peer proof rather than features.
- Skill at uncovering pain, outcomes and requirements customers don't state outright, through sharp questioning and by reading how they react.
- Hands-on fluency building working solutions fast with leading AI coding tools, Breeze AI agents and the HubSpot developer framework.
- Sound judgment about what proof a deal needs and how to make it measurable, time-boxed and reusable in implementation.
- Ability to simplify legacy complexity into a scalable HubSpot solution and architecture that integrates with a customer's tech stack (ERP, billing, data warehouse, AI tools, etc.).
- Deep comfort with enterprise solution architecture, APIs, integrations and AI coding.
- Business acumen to translate outcomes into a use-case roadmap, consumption plan and ROI model.
- An owner's mindset that guides and builds with the customer to ensure outcomes are realized.
- Credibility with executives and technical buyers to generate excitement in the future vision and confidence to move forward, and to equip champions to sell internally.
- Ability to lead without authority across sellers, partners and customer teams.
Details
- Remote, USA.
- Occasional travel to customer sites.
- Several roles open at different levels within Mid-Market and Corp segments; level and segment may be discussed during the process.
- Annual cash compensation range: $132,400 to $189,100 USD, including base salary, on-target commission for eligible roles, and annual bonus targets for eligible roles.
Read the full description and apply on the company’s own careers page.