AI Engineer, Customer Success

Samsara; Athens (GA); Remote; USD 140,000 - 200,000; Full time

Benefits offered by this job

Flexible remote model

Professional development stipend

Health and parental leave plans

Job summary

Samsara is seeking an embedded AI Engineer in Customer Success to design, build, deploy, and maintain agentic AI solutions that power our customer-facing operations. You will own the full lifecycle from prompts to production and continuously improve agents as the product evolves.

With 3+ years of software engineering experience and hands-on work with LLMs, you will collaborate with the Commercial Customer Success team, integrate with external systems like Salesforce, and drive measurable

Qualifications

• 3+ years of software engineering or technical experience, with at least 1 year hands-on with LLMs or AI agents in production.
• Experience working with Customer Success or Revenue Operations workflows is a plus.
• Familiarity with CRM platforms such as Salesforce or Gainsight is helpful.

Responsibilities

• Design, build, test, and deploy agentic AI solutions powering customer success.
• Own deployment, versioning, and rollback for every agent and ensure production-readiness.
• Monitor agent performance and iterate based on real-world data and product evolution.
• Collaborate with Customer Success teams to understand workflows and pain points.

Skills

LLMs

AI agents

Software Eng

Tools

Salesforce

Gainsight

Job description

Who we are Samsara (NYSE: IOT) is the pioneer of the Connected Operations™ Cloud, which is a platform that enables organizations that depend on physical operations to harness Internet of Things (IoT) data to develop actionable insights and improve their operations. At Samsara, we are helping improve the safety, efficiency and sustainability of the physical operations that power our global economy. Representing more than 40% of global GDP, these industries are the infrastructure of our planet, including agriculture, construction, field services, transportation, and manufacturing — and we are excited to help digitally transform their operations at scale.

Working at Samsara means you’ll help define the future of physical operations and be on a team that’s shaping an exciting array of product solutions, including Video-Based Safety, Vehicle Telematics, Apps and Driver Workflows, and Equipment Monitoring. Samsara's Commercial Customer Success team supports hundreds of customers who depend on our platform every day to manage their fleets, equipment, and operations. These customers don't just need software — they need a partner who helps them get to value fast, identifies and mitigates risk, and keeps finding new ways to put Samsara to work for their business.

We're building the AI infrastructure to make that possible at scale. And we need an applied AI specialist to build it — and own it.

As an embedded AI Engineer in Customer Success, you'll design, build, test, deploy, and continuously maintain agentic solutions that power this next chapter. You'll own the full lifecycle: from the first prompt through production, from launch through every iteration as our Customer Success playbooks evolve, and as our product ships new features and real-world performance data surfaces what needs to change next. This is a remote position open to candidates residing in the US except the San Francisco Bay Metro Area, NYC Metro Area, and Washington, D.Metro Area.

Every phone call you answer and every email you send can affect whether truck drivers deliver goods on time and without accidents, whether students get dropped off safely from school, or whether power gets restored quickly after a natural disaster.

Our constantly expanding technology and the complexities faced by our customers provide an exciting range of challenges for our Customer Success teams. With a growth mindset and a desire to learn, you will strategically partner with our customers to find unique solutions to help keep their operations safe, efficient, and sustainable.

Whether the relationship is with our customers or with cross-functional teams in Samsara, you are in constant communication and collaboration with key stakeholders to win as a team.

This Customer Success team is still shaping its future and you will have plenty of autonomy and opportunities to master your craft in a hyper growth environment.

Your core responsibility is the full lifecycle of Samsara's customer-facing AI agents

Build: Design agent architectures, write prompts, integrate with external systems (Salesforce, Samsara platform, Customer Success tools), and write clean Python code that the team can maintain.

Deploy: Own the deployment, versioning, and rollback plan for every agent. Ensure agents are production-ready before they reach CSMs or customers.

Track agent performance in production — monitor accuracy, latency, failure rates, and customer outcomes. Update agents continuously as Samsara's product evolves, Customer Success playbooks change, and real-world data indicates what needs improvement.

Champion, role model, and embed Samsara’s cultural principles (Focus on Customer Success, Build for the Long Term, Adopt a Growth Mindset, Be Inclusive, Win as a Team) as we scale globally and across new offices

Embed with the Commercial Customer Success team to understand what Customer Success Managers actually do — their workflows, their friction points, and the customer moments that move the needle

Get fluent in Samsara's platform, data model, and existing Customer Success tooling stack

Ship the first production agentic solution that meaningfully improves customer outcomes that lead to revenue retention and/or growth

Build the monitoring and iteration loop from day one — so you have a clear signal on what's working, what's drifting, and what needs to change

Spec the second agentic solution to detect and mitigate risk within accounts and start building, applying lessons from the first

Own a portfolio of three or more production agentic solutions running reliably in the Commercial Customer Success motion — and a clear maintenance cadence that keeps them current as the product and playbooks evolve

Demonstrate the impact of agentic solutions on reduced customer time to value, reduced time spent detecting and resolving risks, and increased retention

Have a track record of improving solutions after launch: performance improvements measured in real customer outcomes, not just benchmark scores

Be the go-to expert at Samsara for customer-facing agentic AI development — advising Customer Success leadership on what to build next, what to retire, and how to evaluate ideas before committing to them

Help define what great looks like for ing at Samsara, setting a standard others can build on towards using AI to expand the pipeline

Hands‑on experience building and maintaining production LLM-based agents or automations

~ Python proficiency and a track record of connecting AI to external systems: CRMs, APIs, customer data, and operational tools

~ The discipline to define what success looks like before you start building — and an eval framework that catches problems before your users do

~ A genuine curiosity about Customer Success workflows and customer problems, not just the technical challenge

~ Intellectual honesty about what AI can and can't do well — and the judgment to design guardrails and fallback paths accordingly

3+ years of software engineering or technical experience, with at least 1 year working hands‑on with LLMs or AI agents in a production environment

A background working with or alongside a Customer Success or Revenue Operations team

Experience building regression test suites or eval frameworks for non-deterministic AI systems

Familiarity with Salesforce, Gainsight, or similar CRM and Customer Success platforms

You'll define the role, the standard, and the playbook for ing in Customer Success

A Customer Success Manager managing 350+ accounts can't do everything manually. AI agents aren't a nice-to-have — they're what makes this motion sustainable at Samsara's scale.

Samsara has the customer data, the platform context, and the Customer Success team to make these agents genuinely powerful.

The range of annual base salary for full-time employees for this position is below. Our compensation program delivers above-market total compensation through a combination of base salary, performance-based bonus/variable pay, and equity (for eligible roles) in a high-growth public company. Beyond compensation, we provide the foundations that enable long-term success: a flexible, employee-led remote model, a professional development stipend, comprehensive health and parental leave plans, and more. Flexible Working

At Samsara, we embrace a flexible working model that caters to the diverse needs of our teams. Our offices are open for those who prefer to work in-person and we also support remote work where it aligns with our operational requirements. Our goal is to ensure that all members of our team can contribute effectively, whether they are working on‑site, in a hybrid model, or fully remotely. All offers of employment are contingent upon an individual’s ability to secure and maintain the legal right to work at the company and in the specified work location, if applicable.

All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender, gender identity, sexual orientation, protected veteran status, disability, age, and other characteristics protected by law. We depend on the unique approaches of our team members to help us solve complex problems and want to ensure that Samsara is a place where people from all backgrounds can make an impact.

Samsara is an inclusive work environment, and we are committed to ensuring equal opportunity in employment for qualified persons with disabilities. We use Tofu, a fraud detection tool, to validate the authenticity of applications and protect against identity fraud. Official communication about your application will only come from emails ending in @samsara.com, @us-greenhouse-mail.For more information regarding fraudulent employment offers, please visit our blog post here.