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Attio is a Series B AI-powered CRM platform designed for go-to-market teams, backed by GV (Google Ventures), Redpoint, Balderton, Point Nine, and 01A. The company has raised $116M and is building tools that help ambitious teams understand customers, automate at scale, and customize their revenue motion.
You will lead Attio's Solutions Engineering function as it scales from an early-stage team into a global, structured organization. This is a foundational people-manager hire where you'll own and grow a team of SMB and Mid-Market Solutions Engineers who balance pre-sales technical evaluation (discovery, custom demos, architecture design, proof-of-concept programs) with post-sale onboarding (data model design, data migration, GTM stack integration, workspace configuration, end-user training).
Key responsibilities include:
- Hire, coach, and manage a team of Solutions Engineers; set the bar for technical evaluations and onboarding quality
- Champion your team as true partners to Account Executives across the deal cycle through joint discovery, evaluation planning, and deal strategy
- Partner with AE Managers on joint pipeline ownership and serve as executive sponsor on large deals
- Own the quality and consistency of the onboarding framework while scaling it for a growing team and maturing it as the company moves upmarket
- Champion enablement programs: demo environments, POC and onboarding frameworks, playbooks, AI tooling, automation, and training materials
- Represent customer and prospect feedback cross-functionally with Product and Engineering teams
You'll be strategic, detail-oriented, and a proactive mentor who thrives on building process and enabling teams to scale.
REQUIREMENTS:
- 4–5 years as an individual-contributor Solutions Engineer, Sales Engineer, or Solutions Consultant at a B2B SaaS company, with exposure to both pre-sales and post-sale/onboarding work
- 2+ years directly managing a team of Solutions or Sales Engineers
- Track record of building process and enablement for a growing team, and innovating as product and GTM motions evolve
- Strong technical and data fluency across traditional no- and low-code SaaS ecosystems, including data model design, APIs, integrations, and ability to coach SEs on these concepts
- Passionate technologist, builder, and learner, especially in AI; expected to continually push the bounds of what's possible using the product, AI, and other tools in the rapidly evolving GTM toolkit
- Clear experience working cross-functionally on strategic projects
- Comfort operating in both pre-sales (deal-critical) and post-sale (customer-success-adjacent) environments
- Experience with CRM or broader GTM tooling is a strong plus
