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Senior Generative Ai Sales Jobs (NOW HIRING)

Esri

Sr. Generative AI Software Developer

Redlands, CA · On-site

$123K - $202K/yr

Overview Esri's Professional Services division is seeking an experienced Sr. Software Development ... If you are passionate about geospatial technologies, AI-driven data quality management, and ...

Esri

Sr. Generative AI Software Developer

Redlands, CA · On-site +1

$54.75 - $72.50/hr

Overview Esri's Professional Services division is seeking an experienced Sr. Software Development ... If you are passionate about geospatial technologies, AI-driven data quality management, and ...

Esri

Sr. Generative AI Software Developer

Redlands, CA · On-site

$54.75 - $72.50/hr

Job Summary : Esri's Professional Services division is seeking an experienced Sr. Software ... test, and integrate AI/ML algorithms as part of product releases and evolve data quality ...

National Debt Relief, LLC.

Senior Engineer, Applied AI

$150K - $173K/yr

As a Senior Applied AI Engineer, you will own the technical execution of GenAI initiatives - from ... Design, prototype, and deploy Generative AI solutions across NDR's client-facing and internal ...

Decagon

Senior Solutions Engineer

San Francisco, CA · On-site

$65 - $84/hr

... and architect generative AI experiences for our customer's end users • Develop custom ... Required : • 4-6 years of customer facing experience in a sales engineering (pre-sales) role • ...

Decagon

Senior Solutions Engineer

Manhattan, NY · On-site

$60.75 - $78.50/hr

... and architect generative AI experiences for our customer's end users • Develop custom ... Required : • 4-6 years of customer facing experience in a sales engineering (pre-sales) role • ...

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Senior Generative Ai Sales information

See salary details

$30.5K

$94.1K

$147K

How much do senior generative ai sales jobs pay per year?

As of Aug 11, 2026, the average yearly pay for senior generative ai sales in the United States is $94,113.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,000.00 and $119,500.00 per year, depending on experience, location, and employer.

What is the difference between Senior Generative Ai Sales vs AI Sales Manager?

AspectSenior Generative Ai SalesAI Sales Manager
Required CredentialsExperience in AI sales, technical understanding of generative AI, sales certificationsSales experience, leadership skills, industry knowledge
Work EnvironmentTechnical sales teams, AI product demos, client consultationsSales teams management, strategic planning, client relationship management
Employer & Industry UsageTech companies, AI startups, enterprise AI solutionsTech firms, AI service providers, software companies
Search & Comparison IntentUnderstanding roles in AI sales, technical sales positionsLeadership in AI sales, managing sales teams

While both roles focus on AI sales, the Senior Generative Ai Sales position emphasizes technical expertise and direct client engagement in generative AI products. In contrast, the AI Sales Manager oversees sales teams and strategic initiatives within the AI industry. The roles often overlap in industry and credentials but differ in scope and responsibilities.

How does a senior generative AI sales professional typically collaborate with technical teams during the sales process?

As a Senior Generative AI Sales professional, you will work closely with data scientists, solution architects, and product managers to deeply understand customers’ needs and tailor AI solutions accordingly. Collaboration often involves translating complex technical capabilities into clear business value for clients, as well as relaying client feedback to technical teams to influence product development. Regular meetings, joint presentations, and strategy sessions are common, ensuring that sales pitches are both technically accurate and aligned with the client's objectives. This cross-functional teamwork is essential for closing deals and maintaining long-term client relationships.

What is a senior generative AI sales professional?

A Senior Generative AI Sales professional is an experienced sales expert who specializes in selling generative AI products and solutions to businesses. They work closely with clients to understand their needs, demonstrate how generative AI technologies (such as large language models and image generators) can add value, and guide them through the purchasing process. Their role often involves building strong client relationships, developing sales strategies, and staying updated on the latest advancements in AI. Senior professionals in this role typically have a deep understanding of both the technology and the industries they serve, enabling them to offer tailored solutions.

What are the key skills and qualifications needed to thrive as a senior generative AI sales professional, and why are they important?

To thrive as a Senior Generative AI Sales professional, you need deep knowledge of AI and machine learning concepts, proven sales experience, and a track record of closing complex enterprise deals. Familiarity with CRM systems like Salesforce, AI platforms such as OpenAI or Google Cloud AI, and relevant certifications in AI or sales methodologies are highly valuable. Outstanding communication, consultative selling, and relationship-building skills set top performers apart in this field. These competencies are essential for effectively understanding client needs, articulating AI solutions' value, and driving business growth in a fast-evolving market.
What cities are hiring for Senior Generative Ai Sales jobs? Cities with the most Senior Generative Ai Sales job openings:
What are the most commonly searched types of Generative Ai Sales jobs? The most popular types of Generative Ai Sales jobs are:
What states have the most Senior Generative Ai Sales jobs? States with the most job openings for Senior Generative Ai Sales jobs include:
Senior Generative Ai Sales jobs near you
Infographic showing various Senior Generative Ai Sales job openings in the United States as of June 2026, with employment types broken down into 50% Full Time, and 50% Temporary. Highlights an 70% Physical, 3% Hybrid, and 27% Remote job distribution, with an average salary of $94,113 per year, or $45.2 per hour.

Generative AI Applied Scientist, SIML - ISE

Apple

Cupertino, CA • On-site

Full-time

Re-posted 23 days ago

Apple rating

8.0

Company rating: 8.0 out of 10

Based on 677 frontline employees who took The Breakroom Quiz

7th of 30 rated technology retailers

Job description

Generative AI Applied Scientist, SIML - ISE
Summary
Apple's System Intelligence and Machine Learning (SIML) team is seeking a senior Generative AI expert to pioneer the next generation of human-centric device interaction and multimodal scene understanding. You will be at the core of our efforts to develop multimodal LLMs that can perceive and understand complex scenes and nuanced human interactions, behaviors, and preferences. This is a unique opportunity to join a leading applied research group known for its foundational contributions to Apple Intelligence, where you will focus on the end-to-end lifecycle of generative models-from novel architecture design and large-scale training to final deployment.
Responsibilities
Design, train, and deploy large-scale multimodal LLMs, owning the entire lifecycle from initial architecture to final deployment within the constraints
Implement and demonstrate novel, human-centric user experiences by applying the capabilities of large foundation models
Create robust, scalable ML models and APIs that can be well-integrated into Apple's production pipelines and training infrastructure
Work closely with partner teams to build, iterate, and adapt innovative solutions in a dynamic, product-focused environment
Description
Description
We are looking for a senior applied scientist with strong ML and Generative modeling skills who can design, train, and deploy multimodal GenAI technology. You will need to learn quickly and implement and demonstrate new user experiences using large foundation models. You will build novel and innovative technology, forge collaborations with cross-functional partners, and adapt and iterate your solutions in a dynamic environment. You will be expected to advance human interaction and scene understanding modeling across various fronts, from a system level to a core ML algorithm level. Some of the myriad challenges include understanding user behavior and preferences from interactions with the device and the environment, retrieving useful and nuanced information based on past interactions, handling deeply interleaved streaming inputs, reasoning over varying temporal contexts, developing memory systems to enable long-term adaptation, and generating semantically rich internal representations to enable open-ended downstream tasks. You will be responsible for delivering ML models and solutions that can readily be adopted in production pipelines, such as APIs for production-ready ML models and algorithms well-integrated into our training infrastructure.
Minimum Qualifications
Minimum Qualifications
PhD or Masters Degree in Computer Science, Engineering, or a related field with a focus on machine learning; or equivalent experience
Strong research skills with first author publications in top tier ML conferences
Expert-level knowledge of SOTA in large auto-regressive transformer models, multi-modal encoders, and representation learning
Experience with multimodal large language models (LLMs)
Strong programming skills in Python, maintaining ML code bases grounded in software engineering principles
Preferred Qualifications
Preferred Qualifications
Proven track record of deploying innovative ML technologies in production
Familiarity with developing ML for resource-constrained devices
Experience working with large cross-functional and diverse teams

What Apple employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apple logo

About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976

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