Senior Solutions Architect

HubSpot • Cambridge, MA

3h • Hybrid

About The Position

As a Senior Solutions Architect at HubSpot, you will collaborate with strategic customers to design and implement scalable, AI-powered solutions that deliver measurable business outcomes. This role involves acting as a trusted technical advisor and a hands-on builder, developing multi-quarter platform strategies and creating AI-driven tools for the team and partners. Your contributions will directly enhance platform adoption, accelerate customer utilization of HubSpot's AI capabilities, and generate reusable solutions that benefit the broader Solutions ecosystem. HubSpot's mission is to help millions of organizations grow better, and the company is an AI-powered customer platform connecting marketing, sales, and service.

Requirements

• 5+ years of experience in solution architecture, technical consulting, or similar roles within a SaaS environment, with a track record of architecting and delivering complex, business-critical solutions.
• Hands-on experience with LLM tooling: RAG architectures, agent frameworks, prompt engineering, and context management. You have built agentic workflows, not just presented them.
• Strong fluency with APIs, system integrations, and architectural design for scalable and resilient solutions.
• Proven ability to connect technical solutions to business outcomes, and to build clear value cases that secure director-level and senior stakeholder buy-in on complex solution designs.
• Deep, cross-functional understanding of how enterprise systems and processes interconnect, with the ability to orchestrate end-to-end architectures across multiple platforms.
• Strong communication and collaboration skills across technical and non-technical audiences, with experience influencing director-level decisions using data and a clear articulation of trade-offs.
• Demonstrated ability to navigate ambiguity, scope complex problems, and deliver structured solutions in fast-moving environments.

Nice To Haves

• Familiarity with Python/Node.js for backend services, automation pipelines, or API integrations.
• Experience working with CRM platforms or go-to-market technology ecosystems, particularly HubSpot.
• Background in building reusable frameworks, internal tools, or scalable technical assets for broader team use.
• Experience contributing to product feedback loops or directly influencing product roadmaps.

Responsibilities

• Drive HubSpot AI adoption by designing, building, and delivering agentic workflows and LLM-powered solutions that create measurable improvements in customer outcomes and increase platform consumption.
• Accelerate stakeholder buy-in by developing working prototypes and proof-of-concept automations that demonstrate clear, quantifiable business value and move customers from evaluation to production.
• Multiply team impact by codifying successful technical patterns into libraries, playbooks, and scaffolds that increase delivery efficiency across the Solutions and Solutions Partner ecosystem.
• Increase platform depth and utilization by translating complex, multi-portal business needs into comprehensive, scalable solution strategies across the entire HubSpot ecosystem.
• Expand AI adoption and HubSpot credit consumption by leading solution design for large-scale HubSpot AI deployment projects, identifying opportunities to unify the platform and drive efficiency gains across the customer lifecycle.
• Secure long-term customer investment by developing and championing multi-quarter technical roadmaps, aligning solution choices to business objectives and building value cases that influence director-level and senior stakeholders.
• Solve customers' GTM challenges by owning solution design for complex, multi-hub engagements that deploy agentic AI, leveraging advanced CRM features, APIs, and the broader HubSpot ecosystem.
• Protect delivery outcomes by identifying and mitigating technical risks on high-impact projects, acting as the leading technical voice on product-stretching use cases.
• Shape the HubSpot platform by providing aggregated field insights to Product and Engineering teams that directly influence roadmap decisions.

Benefits

• cash compensation (base salary, on-target commission, annual bonus targets)
• equity plan (restricted stock units - RSUs)
• overtime pay (for eligible roles)

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed
• Number of Employees: 1,001-5,000 employees