Sales Engineer (AI)

Location: Remote (US East Coast), United States. Base salary for New York City candidates is listed separately; candidates elsewhere on the East Coast are benchmarked to their local geographic market tier.

Base salary: $75,000–$104,000 per year for candidates located in New York City, plus a variable sales commission plan.

Company

hirify.global provides an AI-powered embedded analytics platform for building governed, data-driven experiences inside applications.

What you will do

• Partner with Account Executives as the core technical resource throughout the sales cycle, demonstrating the architectural and business value of the platform.
• Assist with and lead technical discovery sessions for product managers, software engineers, and data leaders.
• Design, configure, and deliver tailored proof-of-concepts and trial environments using the hirify.global platform, REST APIs, and JavaScript/React SDKs.
• Develop interactive dashboard prototypes, custom component examples, and technical documentation for the commercial team.
• Collaborate with Customer Success and Professional Services to complete deal handoffs with technical context and implementation notes.
• Progress from onboarding and shadowing to independently leading standard discovery sessions, demonstrations, and technical trial workflows within 90 days.

Requirements

• 1–3 years of experience in a customer-facing technical role, such as Associate or Junior Solutions Engineering, Technical Support, Implementation Consulting, Solutions Architecture, or Technical Account Management.
• Hands-on SQL proficiency, including writing queries, understanding relational database structures, and joining disparate data models.
• Working knowledge of web technologies, including the ability to read and modify JavaScript with React, Angular, or Vue, inspect web elements, and work with REST APIs and JSON payloads.
• Ability to translate complex architectural concepts into clear language for technical and non-technical audiences.
• Curiosity, coachability, and a proactive approach to learning enterprise SaaS sales methodologies, data modeling, and product analytics.

Nice to have

• Hands-on scripting experience in Python or backend languages.
• Familiarity with embedded analytics architectures, webhooks, or SSO and authentication protocols such as SAML, JWT, or OAuth.
• Experience with cloud data warehouses such as Snowflake, BigQuery, Redshift, or Databricks.
• Foundational understanding of generative AI patterns, LLM orchestration, or natural language querying.

Culture & Benefits

• Structured pathway for launching and accelerating a pre-sales career.
• Mentorship, training, and customer-facing exposure from experienced Sales Engineers and SE leadership.
• Participation in platform and architecture onboarding, internal certification, demo rotation, and reusable technical asset development.
• Variable sales commission plan in addition to base compensation.

Hiring process

• Complete platform and architecture onboarding and an internal certification demo during the first 30 days.
• Join demo rotation, support technical qualification and RFI/RFP responses, and co-build trials and proof-of-concepts by day 60.
• Independently lead standard discovery sessions, demonstrations, and technical trial workflows by day 90.