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About the Role
Partner closely with Account Executives to move deals forward, owning the technical side of the sales process from discovery through proof-of-concept and close for a complex, infrastructure-level product sold to engineers, CTOs, and product leaders.
Responsibilities
- Conduct technical discovery to understand prospective customers' architecture, workflows, and integration requirements.
- Design tailored solutions mapping platform capabilities to specific customer challenges.
- Lead technical product demonstrations and proof-of-concept engagements.
- Guide customers through architecture reviews, security discussions, and implementation planning.
- Collaborate with Account Executives throughout the sales cycle.
- Provide customer feedback to product and engineering teams.
- Develop demo environments, technical resources, and sales enablement materials.
Requirements
- 3+ years in sales engineering, solutions engineering, or a similar customer-facing technical role.
- Deep familiarity with APIs, integrations, cloud infrastructure, and modern software architecture.
- Experience engaging directly with technical buyers (engineers, product leaders, IT stakeholders).
- Strong presentation skills, capable of engaging technical audiences.
- Experience running technical evaluations and POCs through enterprise sales cycles.
- Consultative approach to diagnosing customer needs before proposing solutions.
- Experience with developer tools, infrastructure software, AI products, or enterprise platforms is a strong plus.
Skills
- Sales Engineering
- Solutions Engineering
- APIs
- Integrations
- Cloud Infrastructure
- Software Architecture
- Technical Demonstrations
- Proof-of-Concept (POC)
- Enterprise Sales Cycles
- Presentation Skills
- Consultative Selling
Experience Level
- 3+ years
About the Company
- Venture-backed AI infrastructure company developing the connectivity layer for AI platforms and B2B software.
- Founding team has experience from Google, Meta, and AWS.
- Small team with exceptional retention rates and high technical standards.
- Opportunity for meaningful ownership and shaping the future of AI-business collaboration.