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Manager Pre Sales Solution Engineer Jobs in California

$125K - $175K/yr

... managing escalations, while influencing our roadmap in partnership with our Product team ... our pre-sales engineering team to gather client goals and KPI's. -Spearhead new opportunities in ...

Leading day-to-day pre-sales activities including solution design, POCs, demos, and deal execution ... Proven track record in managing large strategic Hi-Tech accounts * Strong background in data ...

Leading day-to-day pre-sales activities including solution design, POCs, demos, and deal execution ... Proven track record in managing large strategic Hi-Tech accounts * Strong background in data ...

Solution Consultant (Pre-Sales)

Irvine, CA · On-site

$120K - $140K/yr

Role Summary The Solution Consultant (Pre-Sales) infrastructure/ government focused serves as a primary pre-sales technical and consulting resource , responsible for understanding customer needs ...

... pre-sales team. This is a senior, hands-on technical sales role. You will partner with Account ... Manage technical evaluations and POCs from scope through validation. * Support hands-on deployment ...

We provide MSPs (Managed Service Providers) with the fundamental technology they need to manage and ... This is a highly pre-sales focused role where you will act as the technical lead across the sales ...

Pre-Sales | Solutions Engineering Core Product: Bland AI - Enterprise Voice AI Agent Platform ... Strong understanding of how to define POV success criteria, manage scope, and keep technical ...

Showing results 41-60

Manager Pre Sales Solution Engineer information

What is the difference between Manager Pre Sales Solution Engineer vs Pre Sales Solution Engineer?

AspectManager Pre Sales Solution EngineerPre Sales Solution Engineer
CredentialsTypically requires experience in leadership and technical certificationsFocuses on technical certifications and product knowledge
Work EnvironmentLeads teams, collaborates with sales and technical departmentsWorks directly with clients to demonstrate solutions
Employer & Industry UsageCommon in enterprise tech, SaaS, and IT servicesUsed across similar industries, often as a technical sales role

The main difference is that the Manager Pre Sales Solution Engineer oversees teams and strategic sales initiatives, while the Pre Sales Solution Engineer focuses on technical demonstrations and client engagement. The managerial role involves leadership responsibilities, whereas the technical role emphasizes hands-on solution presentation.

Do Manager Pre Sales Solution Engineers make good money?

Manager Pre Sales Solution Engineers typically earn a competitive salary that reflects their technical expertise, sales skills, and leadership responsibilities. Compensation often includes base salary, bonuses, and benefits, with higher earnings possible in larger organizations or with specialized skills and certifications. Overall, they tend to be well-compensated within the technology and sales industries.

What does a manager pre sales solution engineer do?

A manager pre sales solution engineer leads technical sales support by understanding client needs, designing tailored solutions, and demonstrating product capabilities. They collaborate with sales teams, provide technical expertise, and often use tools like CRM and presentation software to facilitate client engagement and ensure successful solution delivery.

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

The most popular types of Pre Sales Solution Engineer jobs in California are:

What cities in California are hiring for Manager Pre Sales Solution Engineer jobs?

Cities in California with the most Manager Pre Sales Solution Engineer job openings:

Solutions Engineer (Pre-Sales)

Redfish Recruiting

On-site, Remote

$125K - $175K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 20 days ago


Job description

ML Solutions Engineer
Opportunity:
AI is rapidly changing the world. From processing job applications and credit decisions, to making content recommendations and helping researchers analyze genetic markers at scale - many aspects of our daily lives are touched by machine learned systems in some way.
Arize is the leading machine learning observability platform to help ML teams discover issues, diagnose problems, and improve the results of machine learning models. In short: we are here to build world class software that helps make AI work better.
Team:
Our engineering team builds systems that interact with some of the most complex software ever deployed in production. The team is composed of industry veterans that have built deep learning infrastructure, autonomous drones, ridesharing marketplaces, ad tech and much more.
We are looking for a client-obsessed ML Solutions Engineer with entrepreneurial tendencies to join the good fight and help build out our Solutions Engineering org. You'll be the trusted technical advisors for our customers, driving business value, offering advice, and growing accounts. You'll accomplish this by leading customers to solutions oftentimes by teaching the product to new users or consulting on best practices. You must be ready for technical discussions with data scientists and engineers, then demonstrate the value of Arize in business discussions with directors and executives. The goal is to enable our customers to become successful and enthusiastic about Arize.
What You'll Do:
-You will act as a trusted advisor to our customers, while also building relationships with technical stakeholders
-You will act as the "Voice of the Customer" - Regularly engaging them on status calls, educating on product roadmap and QBRs, managing escalations, while influencing our roadmap in partnership with our Product team.
-Interface with our pre-sales engineering team to gather client goals and KPI's.
-Spearhead new opportunities in which Arize can provide the most value that will drive renewals and new accounts.
What We're Looking For:
-Previous experience working as a Data Scientist, Machine Learning Engineer, or as an -Engineer working with ML models in production.
-Comfortable with Kubernetes and public Cloud environments (AWS, Azure, GCP)
-Knowledge of machine learning frameworks such as TensorFlow, PyTorch or Scikit-learn
-Understanding of ML/DS concepts, model evaluation strategies and lifecycle (feature generation, model training, model deployment, batch and real time scoring via REST APIs) and engineering considerations
-Proficiency in a programming language (Python, R, Java, Go, etc)
-Strong Communication Skills - Ability to simplify complex, technical concepts.
-A quick and self learner - undaunted by technical complexity of production ML deployments and welcome the challenge to learn about them and develop your own POV.
Bonus Points, But Not Required:
Previous engineering experience in:
-Data Science
-MLOps
-ML Frameworks
-Customer facing experience strongly preferred such as Solutions Architect, Onboarding Specialist, Sales Engineer, Customer Success Engineer, Consultant, or Professional Service roles
-The estimated annual salary and variable compensation for this role is between $125,000 - $175,000, plus a competitive equity package. Actual compensation is determined based upon a variety of job related factors that may include: transferable work experience, skill sets, and qualifications. Total compensation also includes a comprehensive benefit package, including: medical, dental, vision, 401(k) plan, unlimited paid time off, generous parental leave plan, and others for mental and wellness support.
More About Arize
Arize's mission is to make the world's AI work and work for the people. Our founders came together through a common frustration: investments in AI are growing rapidly across businesses and organizations of all types, yet it is incredibly difficult to understand why a machine learning model behaves the way it does after it is deployed into the real world.
Learn more about Arize in an interview with our founders: https://www.forbes.com/sites/frederickdaso/2020/09/01/arize-ai-helps-us-understand-how-ai-works/#322488d7753c
Diversity & Inclusion @ Arize
Our company's mission is to make AI work and make AI work for the people, we hope to make an impact in bias industry-wide and that's a big motivator for people who work here. We actively hope that individuals contribute to a good culture
-Regularly have chats with industry experts, researchers, and ethicists across the ecosystem to advance the use of responsible AI
-Culturally conscious events such as LGBTQ trivia during pride month
We have an active Lady Arizers subgroup