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Pre Jobs in California (NOW HIRING)

Pre-Sales Technician

Santa Ana, CA · On-site

$49K - $78K/yr

The Pre-Sales Technical Review Technician is responsible for the promptly reviewing and communicating customer RFQ requirements to the Senior Inside Sales Administrator. JOB QUALIFICATIONS: Qualified ...

Pre-Sales Technician

Santa Ana, CA · On-site

$49K - $78K/yr

The Pre-Sales Technical Review Technician is responsible for the promptly reviewing and communicating customer RFQ requirements to the Senior Inside Sales Administrator. JOB QUALIFICATIONS: Qualified ...

Mission As a pre-sales systems engineer (SE) hire candidate will be responsible for customer adoption and success of the Onehouse Managed Lakehouse solution. Responsibilities * Candidate will partner ...

As a Pre-Sales AI Consultant at WalkMe, you will work closely with sales and presales teams across the Americas to support customers in evaluating, adopting, and scaling WalkMe AI. You will help ...

Mission As a pre-sales systems engineer (SE) hire candidate will be responsible for customer adoption and success of the Onehouse Managed Lakehouse solution. Responsibilities * Candidate will partner ...

Mission As a pre-sales systems engineer (SE) hire candidate will be responsible for customer adoption and success of the Onehouse Managed Lakehouse solution. Responsibilities * Candidate will partner ...

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Showing results 1-20

Pre information

See California salary details

$34.5K

$63K

$129.8K

How much do pre jobs pay per year?

As of Aug 28, 2026, the average yearly pay for pre in California is $63,038.00, according to ZipRecruiter salary data. Most workers in this role earn between $41,400.00 and $98,700.00 per year, depending on experience, location, and employer.

What is a pre-sales engineer?

Pre-sales engineers are technical professionals who work with sales teams to provide technical expertise and support during the sales process. They help potential customers understand how a product or solution meets their needs by conducting product demonstrations, answering technical questions, and assisting with proposals or proof-of-concept work. Their role bridges the gap between technical capabilities and customer requirements, ensuring successful solution adoption.

What are the key skills and qualifications needed to thrive as a preschool teacher, and why are they important?

To thrive as a Preschool Teacher, you need a background in early childhood education, child development knowledge, and often a relevant certification or degree. Familiarity with classroom management tools, lesson planning software, and state-mandated curriculum guidelines is typically required. Patience, creativity, and strong communication skills help foster a positive learning environment and build trust with young children and their families. These skills are crucial for effectively supporting children's growth, ensuring safety, and creating engaging educational experiences.

What are some typical challenges a pre-sales engineer might face when working with both sales teams and clients?

Pre-Sales Engineers often encounter the challenge of balancing technical accuracy with the sales team's goals. They need to translate complex product features into clear business benefits for clients, ensuring that solutions align with customer needs while staying feasible. Managing time effectively between creating demos, responding to RFPs, and attending client meetings can be demanding. Additionally, Pre-Sales Engineers must stay updated on rapidly evolving technologies to provide the most relevant solutions.

What is the difference between Pre vs Data Analyst?

AspectPreData Analyst
Required CredentialsHigh school diploma or equivalent; certifications in project management or specific toolsBachelor's degree in statistics, mathematics, or related field; often certifications in data analysis tools
Work EnvironmentConstruction sites, manufacturing plants, or project sitesOffice settings, data centers, or remote work environments
Employer & Industry UsageConstruction, manufacturing, engineering firmsFinance, marketing, healthcare, technology
Common Search & ComparisonPre vs Data Analyst

Pre roles focus on project preparation, planning, and coordination in physical environments, often requiring technical certifications. Data Analysts analyze data to inform business decisions, working primarily with digital tools and software. While both roles involve analysis, Pre is more operational and site-based, whereas Data Analysts work with data sets in office or remote settings.

What are the most commonly searched types of Pre jobs in California?

The most popular types of Pre jobs in California are:

What are popular job titles related to Pre jobs in California?

For Pre jobs in California, the most frequently searched job titles are:

Infographic showing various Pre job openings in California as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 19% Part Time, 1% Temporary, and 5% Contract. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $63,038 per year, or $30.3 per hour.

AI Architect Pre Sales Specialist

Pleasanton, CA • On-site

Right Skale, Inc.
Software Development • 201 - 500 employees

Full-time

Re-posted 24 days ago


Job description

AI Architect (Pre-Sales Specialist) - Onsite - Pleasanton, CA
Role Overview:
We are seeking a highly experienced AI/ML Architect with strong pre-sales consulting skills to support our business growth and engagements. This role will partner with sales, delivery, and technical teams to define AI/ML solutions, develop prototypes, and articulate technical value to customers. The ideal candidate will drive solution strategy, architecture, and proof-of-concepts (PoCs) for enterprise AI use cases across industries.
Key Responsibilities:
- Collaborate with sales and delivery teams to understand client needs and define tailored AI/ML solutions.
- Lead technical pre-sales activities including solution architecture, PoC definition, technical pitches, and RFP responses.
- Translate business requirements into scalable, secure, and practical AI/ML system designs.
- Develop and present demos, prototypes, technical documentation, and solution proposals.
- Advise clients on AI strategy, model selection, data architecture, and implementation trade-offs.
- Work with data scientists and engineers to ensure designed solutions are feasible and aligned with delivery best practices.
- Articulate technical differentiation and ROI of proposed AI/ML solutions to both technical and business stakeholders.
- Stay current with AI/ML trends, frameworks, and tools to inform solution decisions and best practices.
Required Qualifications:
- Bachelor's or Master's degree in Computer Science, Engineering, Data Science, AI/ML, or related field.
- 8+ years of experience in AI/ML architecture, data science, or related roles, including pre-sales or customer-facing technical consulting.
- Strong expertise in AI/ML frameworks and tools (TensorFlow, PyTorch, scikit-learn, etc.).
- Proven ability to design scalable AI/ML solutions and lead technical discussions with clients.
- Experience developing and presenting AI technical proposals and demos.
- Familiarity with cloud AI platforms (AWS SageMaker, GCP AI/Vertex, Azure ML) and data engineering fundamentals.
- Excellent communication, presentation, and problem-solving skills.
Preferred Qualifications:
-Background in enterprise AI implementations, optimization, or operationalization.
- Experience working with diverse industries (FinTech, Healthcare, Enterprise SaaS, etc.).
- Ability to translate complex technical ideas into business value for non-technical stakeholders.
Work Location:
On-site, Pleasanton, CA (occasional travel as needed)
Interview Process:
1st round: Technical Video Interview - assessment of architecture experience and problem-solving.
2nd round: In-person interview - deeper dive into technical fit, business acumen, and cultural alignment.