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# AI Engineer, Customer Success

Review the role, location requirements, compensation details, and application process before deciding whether this opportunity fits your next career move.

[Apply for this job](#job-application)[View company](https://jobicy.com/company/samsara.md)ShareRemote from[USA](https://jobicy.com/job-region/usa.md)SalaryUSD 105,910–160,200 / yrDepartment[Software Engineering](https://jobicy.com/categories/engineering.md)EmploymentFull TimeExperienceSeniorPublished1 Nov 2026Apply before1 Dec 2026Listing views60Application actions4Application toolkit

## Make your next move.

Prepare your resume, explore your fit, and draft a cover letter for this opportunity.

AI Summary

## The role, at a glance.

Samsara is seeking an embedded AI Engineer to create and operate customer-facing LLM agents for its Commercial Customer Success organization. The role covers the full production lifecycle: agent architecture, prompt development, Python integrations, evaluation, deployment, monitoring, and ongoing iteration. The engineer will connect agents to systems such as Salesforce, Samsara’s platform, and Customer Success tooling to improve retention, risk detection, and customer time to value. This is a founding-style, highly autonomous position requiring production LLM experience, B2B SaaS context, and strong judgment about reliability and guardrails. The position is remote within the United States, subject to exclusions for three metro areas.

## Role DNA

A quick view of the complexity, pace, ownership and collaboration implied by the job description.

### Job Complexity

5/5EasyHard

### Pace & Pressure

5/5RelaxedFast-paced

### Autonomy Level

5/5GuidedFull ownership

### Communication Load

4/5IndependentCollaborative

AI insightThis role combines applied LLM engineering, production software ownership, evaluation design, and direct alignment with evolving Customer Success workflows. The first person in the function must establish technical standards and deliver reliable business impact under a fast-moving roadmap.

## Salary analysis

Estimated compensation compared with the broader US market for similar roles.

Estimated job median (per year)Market rate$133,055US market range (per year)$120k–$175k0$192.50k

AI insightThe yearly pay period is inferred from the job context; it was not explicitly stated by the employer. The employer explicitly lists an annual base-salary range of $105,910–$160,200 USD for full-time employees, with the applicable range determined by the employee's primary work location. The midpoint is $133,055 per year. Estimated US market compensation for a mid-level applied AI/LLM engineer with production ownership is approximately $120,000–$175,000 annually; this is an AI estimate, not verified salary research.

## Core skills

Skills and capabilities most closely associated with this opportunity.

[Python](https://jobicy.com/jobs?search_keywords=Python.md)[LLM agents](https://jobicy.com/jobs?search_keywords=LLM%20agents.md)[Prompt engineering](https://jobicy.com/jobs?search_keywords=Prompt%20engineering.md)[Agent architecture](https://jobicy.com/jobs?search_keywords=Agent%20architecture.md)[LLM evaluation frameworks](https://jobicy.com/jobs?search_keywords=LLM%20evaluation%20frameworks.md)[Automated testing](https://jobicy.com/jobs?search_keywords=Automated%20testing.md)[API integration](https://jobicy.com/jobs?search_keywords=API%20integration.md)[Salesforce](https://jobicy.com/jobs?search_keywords=Salesforce.md)[Customer Success platforms](https://jobicy.com/jobs?search_keywords=Customer%20Success%20platforms.md)[Production deployment](https://jobicy.com/jobs?search_keywords=Production%20deployment.md)[Performance monitoring](https://jobicy.com/jobs?search_keywords=Performance%20monitoring.md)[Model drift detection](https://jobicy.com/jobs?search_keywords=Model%20drift%20detection.md)[B2B SaaS](https://jobicy.com/jobs?search_keywords=B2B%20SaaS.md)[AI guardrails](https://jobicy.com/jobs?search_keywords=AI%20guardrails.md)

Sample interview questionsHow would you design an evaluation framework for a customer-facing LLM agent before building the agent itself?I would begin by defining the customer and business outcome, then translate it into measurable task-level criteria such as factual accuracy, policy compliance, action completion, escalation quality, latency, and user satisfaction. I would curate representative production-like scenarios, including edge cases and known failure modes, establish baselines, and automate repeatable regression tests. I would also define human-review sampling and launch thresholds so the agent can be monitored and improved after deployment.

Describe how you would integrate an AI agent with Salesforce and other Customer Success systems safely.

I would use scoped service identities, least-privilege access, audited API calls, and a clear data contract for every integration. The agent should retrieve only the context required for a task, validate inputs and outputs against schemas, and route consequential write actions through deterministic checks or human approval. I would also log agent decisions, source records, tool calls, and failures to support debugging, compliance, and rollback.

What signals would you monitor after launching an agent that identifies account risk?

I would monitor task accuracy against reviewed samples, false-positive and false-negative rates, tool-call failures, latency, token usage, and fallback or escalation frequency. At the business level, I would track whether identified risks lead to timely CSM action, reduced time to resolution, improved retention indicators, and user adoption. Changes in these metrics across customer segments or product releases would help detect drift.

How do you decide when an LLM agent should act autonomously versus escalate to a Customer Success Manager?

I would base the decision on the impact and reversibility of the action, confidence in the available data, policy constraints, and the cost of an error. Low-risk tasks such as summarization or drafting can be automated with validation, while customer commitments, data changes, and ambiguous risk decisions should have approval gates. Clear escalation reasons and useful context are essential so the CSM can make a fast informed decision.

Tell us about an approach for maintaining LLM agents as product capabilities and customer workflows change.

I would treat prompts, tools, policies, and evaluation datasets as versioned production assets. Product releases and playbook changes should trigger impact reviews, targeted regression tests, staged deployment, and monitoring of outcome metrics. I would maintain feedback loops with CSMs, triage observed failures by severity and frequency, and use a documented rollback plan whenever a release degrades reliability.

Opportunity details

## About this role.

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. As part of a recently public company, you’ll have the autonomy and support to make an impact as we build for the long term.

About the role:

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. The agents you build will only be as good as the care you put into keeping them relevant and reliable over time.

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.C. Metro Area.

You should apply if:

* You want to impact the industries that run our world: 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.
* You thrive the most when solving problems: 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.
* You are a natural relationship builder: 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.
* You are the architect of your own career: If you put in the work, this role won’t be your last at Samsara. 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.
* You want to be with the best: At Samsara, we win together, celebrate together and support each other. You will be surrounded by the best and brightest professionals out there.

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

In this role, you will:

* 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.
* Test: Define success criteria and evaluation frameworks before you write the first line of code. Build automated test suites that cover real-world scenarios, edge cases, and known failure modes.
* Deploy: Own the deployment, versioning, and rollback plan for every agent. Ensure agents are production-ready before they reach CSMs or customers.
* Monitor: Track agent performance in production — monitor accuracy, latency, failure rates, and customer outcomes. Detect drift before anyone has to tell you something’s wrong.
* Maintain & Iterate: 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

WHAT YOU’LL ACCOMPLISH

In your first 30 days

* 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
* Define success metrics and an evaluation framework for the first agent on the roadmap — before you write a single line of code

In your first 90 days

* 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
* Provide an estimated start date for the value gap detection and product consultation — identifies underutilization and leads product consultations via text or call.

By the end of your first year

* 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

Minimum requirements for the role:

* 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
* Experience in a B2B SaaS environment

An ideal candidate also has:

* Direct experience with Anthropic Claude or similar LLM APIs
* 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

WHY THIS ROLE, WHY NOW

* You’ll be first: This function doesn’t exist yet. You’ll define the role, the standard, and the playbook for ing in Customer Success
* The problem is real: 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.
* The timing is right: The models have caught up to the use cases. Samsara has the customer data, the platform context, and the Customer Success team to make these agents genuinely powerful.

The compensation range shown spans approved pay zones for this role. Your primary work location determines the range applicable to you, which may be narrower than the full range displayed.

The range of annual base salary for full-time employees for this position is below. Please note that base pay offered may vary depending on factors including your city of residence, job-related knowledge, skills, and experience. Learn more about our total rewards and benefits below.

Annual Base Salary

$105,910—$160,200 USD

Total Rewards

At Samsara, we build for the people who keep the global economy moving. We want owners, not passengers, which is why [our rewards](https://www.samsara.com/company/careers/benefits) are designed to fuel high-impact builders. 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. We meaningfully differentiate pay for our top performers, who have the opportunity to earn above-market compensation that can outpace the broader market over time.

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. If you’re ready to build for the long term and own the outcome, your journey starts here.

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. For certain positions, being close to one of our offices or within a specific geographic area is important to facilitate collaboration, access to resources, or alignment with our service regions. In these cases, the job description will clearly indicate any working location 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.

Belonging at Samsara

At Samsara, we welcome everyone regardless of their background. 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.

Accommodations

Samsara is an inclusive work environment, and we are committed to ensuring equal opportunity in employment for qualified persons with disabilities. Please email [accessibleinterviewing@samsara.com](mailto:accessibleinterviewing@samsara.com) or [click here](https://forms.gle/DrM6DFQUiSgfPtCVA) if you require any reasonable accommodations throughout the recruiting process.

Our Commitment to Authenticity

We use [Tofu](https://hiretofu.com/privacyPolicy), a fraud detection tool, to validate the authenticity of applications and protect against identity fraud. This ensures we are connecting with real people and allows us to prioritize genuine candidates. Please see Samsara’s [Candidate Privacy Notice](https://www.samsara.com/legal/candidate-privacy-notice) for more information.

Fraudulent Employment Offers

Samsara is aware of scams involving fake job interviews and offers. Please know we do not charge fees to applicants at any stage of the hiring process. Official communication about your application will only come from emails ending in @samsara.com, @us-greenhouse-mail.io or @mail3.guide.co. For more information regarding fraudulent employment offers, please visit our [blog post here](https://samsara.com/blog/avoiding-fake-job-offers).

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