Solutions Engineer

Overview

A pre-sales technical role leading customers through AI-era buying by building working proofs, showing measurable outcomes on HubSpot's agentic customer platform, and turning proof into business cases.

What you'll do

• Tell compelling, outcome-led stories via demos and product-led experiences showing how a customer's business 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 build confidence to move forward with HubSpot Guide, working with customers and implementation partners to realize the customer's first outcomes.
• Create reusable assets and capture field feedback to shape playbooks and the HubSpot product roadmap.
• Travel occasionally to customer sites to perform the above activities.

What you'll need

• Customer-facing background in solutions engineering, solutions architecture, technical consulting or implementation for SaaS platforms, with a 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 of their business reimagined in HubSpot, 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 to what they see.
• 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

• Location: Remote, USA.
• Occasional travel to customer sites.
• Several levels and segments (Mid-Market and Corp) are open; the team may discuss an alternative level or segment during the process.
• Annual cash compensation range: $105,800 to $151,200 USD, including base salary, on-target commission and annual bonus targets for eligible roles. Some roles are eligible for RSUs and some for overtime pay.
• Employment type not stated.