Jobs / United States / Samsara INC

Samsara INC

Director, GTM AI Engineering

Remote - US · Remote · US only Posted today

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Skills this job asks for

Machine learningCustomer successLeadershipLLMsSalesforce

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Where you can work from

United States only

The listing says: This is a remote position open to candidates residing in the US.

The company's headquarters is not the same as where you may work from. Visa sponsorship only matters if you would relocate; see below.

Visa sponsorship, if you would relocate

Sponsorship verdict

Sponsorship possible

One solid signal, not two. Worth applying, and worth asking about sponsorship early.

  • Employer is on a government sponsor recordThe US Department of Labor certified 47 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first.
  • The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
  • No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area.
  • What Samsara INC paid sponsored hires in similar roles1 certified filing for “Manager II, AI Engineering” (Computer and Information Systems Managers) in WA: $198k–$198k, median $198k.
  • Confirmed live todayWhen a source last listed this job as open.
Details and sources
Employer is on a government sponsor record
The US Department of Labor certified 47 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. Source: LCA disclosure data (US Department of Labor (OFLC)).
No salary bar for this route
H-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
What Samsara INC paid sponsored hires in similar roles
1 certified filing for “Manager II, AI Engineering” (Computer and Information Systems Managers) in WA: $198k–$198k, median $198k. Most were filed at wage level II (100%) — 2 lottery entries, ≈31% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).

US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).

A verdict summarises public evidence. It is not legal advice and never a guarantee: the employer and the immigration authority decide. Sign in to factor in where you can already work.

About the 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 Machine Learning, AI, Analytics & Data (MAAD) team builds the intelligence and technology that helps our go-to-market teams work faster, make better decisions, and spend more time with customers. As the Director, GTM AI Engineering you’ll run our AI Engineering team for GTM. You’ll work closely with Data Science, Analytics, and Data Engineering to serve Sales, Customer Success, Support, Enablement, and GTM leadership. This is a hands-on Director role. Expect to spend about 70% of your time building (prototyping agents, writing code, designing evals) and about 30% leading the team, setting strategy, and influencing stakeholders. You’ll build intelligent workflow experiences. That ranges from AI agents and copilots that take manual work off sellers’ plates, to signals for propensity and prioritization, to the data, evaluation, and measurement foundations that make these products reliable and trusted. The ideal candidate is AI-native. You already run your own work through agents every day, you’ve shipped AI products to production, and you get as excited about a seller’s first “wow, this saved me an hour” moment as you do about a clean architecture. This is a remote position open to candidates residing in the US. In this role, you will: • Build hands-on. Prototype, ship, and iterate on AI agents, copilots, and workflow automations for GTM teams, from the first demo to a production system people rely on. • Build the platform, not just the apps. Own the architecture of the shared GTM AI platform: orchestration, LLM and tool gateways, identity and access, and the MCP and SDK contracts that let the GTM web app, Salesforce, Slack, desktop, and Claude plugins share one set of governed capabilities. • Make evals a first-class discipline. Design evaluation frameworks for agent and LLM behavior, including golden datasets, LLM-as-judge, human review loops, and regression suites, and run them in development and production. Use transcript analysis and eval results to find failures, guide what to fix first, and show quality improving over time. • Lead with AI day to day. Use agents, coding assistants, and agent harnesses in your own daily work, and build the shared tooling, patterns, and harnesses that make the whole team faster. • Stay ahead of the curve. Track new models, agent frameworks, MCP and tool ecosystems, and context engineering, and turn them into practical recommendations for Samsara's GTM use cases: what to adopt, what to test, and what to ignore. Make clear build-versus-buy calls on vendor tools, not just models. • Drive adoption with the field. Be the go-to advocate for AI across Sales, CS, and Support. Run demos, earn credibility with reps and frontline managers, collect r

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