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Sales Engineer Llm Jobs (NOW HIRING)

NY · On-site

$130K - $170K/yr

Sales Engineer Syncari - Arizona, California, Colorado, Florida, Georgia, Illinois, Indiana ... Familiarity with modern AI architectures and LLM tools. * SQL proficiency; scripting experience ...

Sales Engineer

California, MO · On-site

$130K - $170K/yr

Sales Engineer Syncari - Arizona, California, Colorado, Florida, Georgia, Illinois, Indiana ... Familiarity with modern AI architectures and LLM tools. * SQL proficiency; scripting experience ...

The AI Sales Engineer will work alongside Account Executives to articulate the Arize value ... LLM / Agentic frameworks such as OpenAI Agents SDK, Google ADK, LangGraph, and DSPy • ...

The Sales Engineer will work closely with customer engineering teams to co-architect and co-build ... based or LLM-powered applications beyond simple API calls, including multi-step workflows ...

The numbers: 1 billion calls. 1 million developers. 10x enterprise ARR growth * The customers ... LLM orchestration, integrations, and contact center workflows. * 60 Day: Own technical discovery ...

AI Sales Engineer, US

$140K - $230K/yr

We are looking for an AI Sales Engineer (Solutions Architect) to join the good fight and get this ... Knowledge of LLM / Agentic frameworks such as OpenAI Agents SDK, Google ADK, LangGraph, and DSPy

Sales Engineer

San Francisco, CA · On-site

$190K - $265K/yr

Sales Engineer You'll be the technical partner in every deal that matters. When a developer or ... One API call converts any URL into clean, LLM-ready markdown or structured data - the boring-hard ...

We are looking for a Senior Sales Engineer to become a foundational technical partner to our ... Experience with LLM workloads and performance-sensitive environments * Experience with inference ...

Senior Sales Engineer @ ParasailAbout Parasail Parasail is building the AI Supercloud, a ... Hands on time with modern inference tooling such as vLLM, TensorRT LLM, CUDA, or Kubernetes. * A ...

Senior Sales Engineer @ Parasail About Parasail Parasail is building the AI Supercloud, a ... Hands on time with modern inference tooling such as vLLM, TensorRT LLM, CUDA, or Kubernetes. * A ...

Sales Engineers sit at the intersection of engineering, product, and go-to-market , shaping how ... Have designed agent-based or LLM-powered applications beyond simple API calls, including multi-step ...

AI Sales Engineer, US

$140K - $230K/yr

We are looking for an AI Sales Engineer (Solutions Architect) to join the good fight and get this ... Knowledge of LLM / Agentic frameworks such as OpenAI Agents SDK, Google ADK, LangGraph, and DSPy

We are looking for a Senior Sales Engineer - AI to join our team. In this role, you'll combine deep ... LLM fine‑tuning, evaluation, pipelines, predictive ML algorithms. * Proven experience with ...

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Sales Engineer Llm information

See salary details

$43.5K

$96.2K

$149K

How much do sales engineer llm jobs pay per year?

As of Sep 11, 2026, the average yearly pay for sales engineer llm in the United States is $96,194.00, according to ZipRecruiter salary data. Most workers in this role earn between $75,000.00 and $112,500.00 per year, depending on experience, location, and employer.

What is a sales engineer LLM?

Sales Engineer LLMs are professionals who combine technical expertise in large language models (LLMs) with strong sales skills to help organizations understand, implement, and maximize the value of AI solutions. They work closely with clients to explain the capabilities and limitations of LLM-based products, demonstrate their practical applications, and address any technical concerns during the sales process. Their role bridges the gap between technical teams and customers, ensuring that LLM solutions meet business needs while also supporting the sales team in achieving their goals.

How does a sales engineer LLM typically collaborate with both technical teams and clients during the sales process?

A Sales Engineer focused on large language models (LLMs) acts as a key bridge between clients and internal technical teams. They work closely with sales representatives to understand client requirements, then partner with machine learning engineers and product managers to design solutions that meet those needs. During the sales process, they often lead technical demonstrations, answer detailed questions, and provide guidance on integration or customization. This role requires clear communication, adaptability, and the ability to translate complex technical concepts into business value for diverse stakeholders.

What are the key skills and qualifications needed to thrive as a sales engineer LLM, and why are they important?

To thrive as a Sales Engineer LLM, you need a solid understanding of machine learning concepts, especially large language models, combined with technical sales or engineering experience. Familiarity with AI frameworks, APIs, cloud platforms, and certifications in data science or cloud computing are often required. Excellent communication, problem-solving, and relationship-building skills set top performers apart in this field. These competencies are crucial for effectively bridging technical solutions with client needs, driving successful product adoption and sales.

What are popular job titles related to Sales Engineer Llm jobs?

For Sales Engineer Llm jobs, the most frequently searched job titles are:

Sales Engineer

NY • On-site

Syncari, Inc.
Software Development • 51 - 200 employees

$130K - $170K/yr

Other

Medical, PTO

This job post has expired today. Applications are no longer accepted.


Job description

Sales Engineer

Syncari - Arizona, California, Colorado, Florida, Georgia, Illinois, Indiana, Maryland, Maine, Massachusetts, Minnesota, Nevada, New Jersey, New York, North Carolina, Oregon, Texas (Remote) Apply Now

About Syncari

Syncari is modernizing the enterprise with autonomous master data management (MDM). We’re disrupting the multibillion‑dollar data‑management industry by redefining how enterprises build a trusted, AI‑ready data foundation. As the only agentic MDM platform, Syncari is leading a new path, eliminating silos, enforcing integrity, and enabling automation with continuous trust.

Trusted by companies like Altair, Trimble, and Monotype we help teams transform fragmented data into intelligent, governed systems that scale. Join us and shape the future of intelligent data. Learn more at syncari.com.

The Opportunity

We are seeking a customer-facing Sales Engineer with deep expertise in data platforms, MDM, or enterprise integration architecture.

You will partner closely with Account Executives to support complex enterprise sales cycles by leading technical discovery, architecting enterprise‑grade solutions, delivering compelling demos, and executing structured Proofs of Concept (POCs).

This role engages Ops, IT, Data Engineering, Security, and executive stakeholders to validate Syncari’s ability to operate within sophisticated, multi‑system enterprise environments.

If you enjoy whiteboarding data architecture, solving governance challenges, and translating complexity into business value, this role is built for you.

What You’ll Do
  • Serve as the primary technical advisor for enterprise prospects evaluating data unification, governance, and MDM solutions.
  • Lead deep discovery sessions across Revenue Operations, IT, Data Engineering, and Security teams.
  • Architect scalable, secure, enterprise‑grade data solutions across complex system landscapes.
  • Deliver tailored product demonstrations aligned to real‑world enterprise use cases.
  • Design and execute structured POCs, including:
    • Master data modeling and schema alignment
    • Golden record configuration and identity resolution
    • Data normalization and transformation workflows
    • Multi‑system integration across CRM, marketing, support, and warehouse platforms
  • Support architecture reviews, security diligence, RFPs, and technical validation processes.
  • Present to both technical stakeholders and executive decision‑makers.
  • Provide product feedback to Engineering based on enterprise requirements.
  • Ensure clean technical handoff to Customer Success and Implementation teams.
Travel Expectations
  • Travel up to 20–30%, primarily for:
    • On‑site discovery workshops and architecture sessions
    • Executive presentations
    • Strategic POC kickoffs
    • Industry and customer events
  • Travel may increase temporarily for high‑value enterprise opportunities.
  • Primarily domestic U.S. travel.
What You Bring
  • 4+ years in a Sales Engineer, Solutions Engineer, Data Architect, or similar customer‑facing technical role in B2B SaaS.
  • Experience supporting enterprise sales cycles (6–12+ months, multi‑stakeholder).
  • Direct experience with:
    • Master Data Management (MDM) platforms
    • Data integration/iPaaS solutions
    • Data governance or data quality systems
    • Enterprise data platforms (CDP, ETL/ELT, Data Warehouse, Data Lake)
  • Strong understanding of various master data domains (Vendor, Contact, Product, Customer, Location, etc.) and golden record strategy.
  • Experience with enterprise ecosystems such as Salesforce Enterprise, Azure, Oracle, Snowflake, Databricks, or similar.
  • Experience in Technical or Engineering Consulting preferred.
  • Working knowledge of APIs, webhooks, Authentication styles, and modern integration patterns.
  • Familiarity with enterprise security and governance frameworks (RBAC, SSO, SOC 2, audit logging).
  • Familiarity with modern AI architectures and LLM tools.
  • SQL proficiency; scripting experience (Python or JavaScript) preferred.
  • Strong executive presence, architectural whiteboarding ability, and intellectual curiosity.
What We Offer
  • Best‑in‑class health insurance (seriously—we invest heavily here)
  • Flexible PTO and remote‑first flexibility (U.S.-based)
  • Competitive compensation + generous equity packages
  • Real ownership: You’ll be part of a passionate, mission‑driven team shaping the future of master data
  • On‑Target Earnings (OTE) Range: $130,000 – $170,000
  • Equity: Meaningful early‑stage equity grant

Final compensation (base, variable, and equity) will be determined based on experience, qualifications, geographic location, and internal equity considerations.

Industry

Sales

Employement Type

Full-Time

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