Remote opportunity at
SamsaraDirector, GTM AI Engineering
Samsara is a publicly traded technology company that provides a Connected Operations Cloud platform. The organization leverages Internet of Things data to help physical industries such…
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About This Role
Samsara is a publicly traded technology company that provides a Connected Operations Cloud platform. The organization leverages Internet of Things data to help physical industries such as manufacturing, construction, agriculture, and transportation improve efficiency, safety, and sustainability. Within the Machine Learning, AI, Analytics and Data division, the company is hiring a Director, GTM AI Engineering. In this position, you will lead the go-to-market artificial intelligence engineering team while operating in…
Job Description
Samsara is a publicly traded technology company that provides a Connected Operations Cloud platform. The organization leverages Internet of Things data to help physical industries such as manufacturing, construction, agriculture, and transportation improve efficiency, safety, and sustainability. Within the Machine Learning, AI, Analytics and Data division, the company is hiring a Director, GTM AI Engineering.
In this position, you will lead the go-to-market artificial intelligence engineering team while operating in a heavily hands-on capacity. Approximately 70 percent of your schedule will involve direct building activities such as writing code, prototyping agents, and designing evaluation frameworks, while the remaining 30 percent will focus on leadership, setting technical strategy, and stakeholder alignment. You will collaborate closely with data science, analytics, and data engineering departments to deliver intelligent workflow solutions for sales, customer success, support, enablement, and leadership teams.
The ideal candidate is an AI-native technologist who routinely utilizes AI agents daily, has prior experience successfully shipping AI products to production environments, and possesses a strong user-first mindset. Qualified applicants must be residing within the United States.
Responsibilities
- Build, ship, and iterate on AI agents, copilots, and workflow automations for go-to-market teams from initial prototypes to production systems.
- Manage the architecture of the shared go-to-market AI platform including orchestration, LLM gateways, identity controls, and SDK contracts.
- Design and execute evaluation frameworks for agent and LLM behaviors, utilizing golden datasets, human review loops, and regression suites.
- Evaluate vendor tools, models, and agent frameworks to make strategic build-versus-buy decisions.
- Act as an advocate for artificial intelligence across sales, customer success, and support teams by running demonstrations and gathering feedback.
- Determine product and technical strategies for go-to-market AI, encompassing data foundations, governance, observability, and model routing.
- Develop and manage an inclusive and high-performing AI engineering team.
- Champion and model Samsara cultural principles across the organization.
Requirements
- Minimum of 10 years of professional experience spanning software engineering, machine learning, data science, or data platforms, including leadership experience.
- Hands-on background building and deploying LLM applications and agentic workflows to production environments.
- Production full-stack and cloud engineering experience with tools such as Python or TypeScript, AWS, and Databricks.
- Demonstrated history of designing and running evaluation frameworks for LLM or agent systems.
- Fluent, daily usage of AI agents and coding assistants in personal workflows.
- Track record of delivering internal or customer-facing AI and machine learning products with measurable business impact.
- Experience with predictive modeling, experimentation, analytics, and data engineering foundations.
Qualifications
- Bachelor's degree or equivalent relevant work experience.
- Background building artificial intelligence or decisioning products for sales, customer success, support, marketing, or other go-to-market functions in a fast-growing enterprise SaaS environment.
- Familiarity with CRM, customer data, and support systems such as Salesforce, Gong, Gainsight, Zendesk, and Databricks.
- Experience utilizing agent SDKs, harnesses like LangGraph or Claude Code, LLM observability tooling, and model APIs from Anthropic, OpenAI, and Google.
- Experience operating AI products at scale including cost tracking, governance, and monitoring.
Core Skills
Benefits
- Annual base salary range between USD 182,000 and 325,000.
- Initial restricted stock unit grant with no vesting cliff alongside performance-tied refresh opportunities.
- Flexible remote working model.
- Professional development stipend.
- Comprehensive health and parental leave plans.
Frequently Asked Questions
Answers are based only on the employer’s listing; where it doesn’t say, neither do we.
What is the location policy for this role?
This is a remote position open to candidates residing in the United States.
What is the salary range for the Director, GTM AI Engineering position?
The annual base salary range for full-time employment is USD 182,000 to 325,000, and the role is also eligible for an initial restricted stock unit grant and performance refresh opportunities.
How much of the job involves hands-on coding versus leadership?
The role is approximately 70 percent hands-on building, prototyping, and writing code, and 30 percent leadership, team direction, and stakeholder engagement.
What are the minimum professional experience requirements?
Applicants must have 10 or more years of experience across software engineering, machine learning, data science, or data platforms, including meaningful leadership experience and regular coding.
Sample Interview Questions
AI-generated questions tailored to this specific role — a preview of the full practice set.