Remote Enterprise AI Products Specialist

Samsara; United States; Remote; USD 222,000 - 278,000; Full time

Benefits offered by this job

Flexible remote model

Professional development stipend

Health and parental leave

Job summary

Samsara is seeking a high-impact, strategic seller to lead go-to-market execution for AI Products. You will partner with Account Executives to build deep partnerships with enterprise accounts, driving AI-driven outcomes that enhance safety and efficiency in physical operations.

You will collaborate with a specialist overlay team to accelerate growth of a new product, align deals with customer use cases, and shape the roadmap through real-world feedback.

Qualifications

• 5+ years in complex, full-cycle sales.
• 2+ years direct experience selling AI-based commercial models.
• Proven track record: consistent quota over-achievement in complex accounts with $200k+ ARR transactions.
• Deal complexity: navigated 6-figure deals with multiple stakeholders (Legal, Procurement, InfoSec, C-Suite).
• Entrepreneurial agility: sold "Version 1.0" products where the playbook is being written.

Responsibilities

• Architect deals aligning AI Products value with customer use cases for maximum ROI.
• Co-develop new product pipeline with ADRs/ADs across high potential "AI-ready" accounts.
• Drive high-touch pilot strategy and success metrics for early adoption.
• Partner with GTM and Product to gather insights and influence roadmap.
• Build frameworks, assets and insights scalable across the sales org.

Skills

Complex sales

AI product sales

Quota attainment

Stakeholder management

Job description

Samsara is seeking a high-impact, strategic seller to lead go-to-market execution for AI Products. You will partner with Account Executives to build deep partnerships with enterprise accounts, driving AI-driven outcomes that enhance safety and efficiency in physical operations.

You will collaborate with a specialist overlay team to accelerate growth of a new product, align deals with customer use cases, and shape the roadmap through real-world feedback.