Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Customer Success Manager - Sales - CALIFORNIA - USA

Park Lane Recruitment
7 months ago
Applications closed

Related Jobs

View all jobs

Senior Strategic Analytics and Data Science Manager

Senior Strategic Analytics and Data Science Manager

Solution Consultant - IT & Data Science (EMEA)

Solution Consultant - IT & Data Science

Data Science Manager - Marketing & Customer Generative AI Enterprise Architect

Senior Data Science Manager

 Customer Success Manager - Sales
 
- CALIFORNIA
- USA

 
This is a hybrid position that will require in-person work days 3 days a week.
 
Job Type: Full-time
 
Salary: $130K-$180K
 
Job Description:
Our client the leading platform for electrical engineers, is revolutionizing electronics design with artificial intelligence. help 1.5 million engineers design products like drones, electric cars, and virtual reality headsets 10x faster. With 10+ years of proven market traction (revenue driven growth), our client is fresh off a round of VC funding from leading Silicon Valley investors to accelerate our business into the next stages of growth.
As a pivotal member of our Customer Success team, you’ll be at the forefront of driving growth within the customer base . You will guide global component manufacturers on their digital transformation journey, enabling a new online channel for them to grow their influence within the engineering community.
You will be responsible for building value, establishing deep relationships, and driving renewals and expansions within our global customer base of electronic component suppliers.
 
Roles & Responsibilities:

  • Guide new customers through the onboarding process, ensuring a smooth transition and provide training and support to help clients maximize the value of our client tools and features.
  • Act as the voice of the customer, advocating for their needs and priorities. Gather feedback, insights, and feature requests, and collaborate with product and development teams to continuously improve our platform.
  • Develop and nurture strong, long-lasting relationships with key stakeholders within our customer base.
  • Work closely with sales and account management teams to identify opportunities for upselling and cross-selling.
  • Serve as a technical resource for customers, troubleshooting issues, providing solutions, and escalating complex issues as needed. Collaborate with our engineering and support teams to resolve customer challenges effectively.

Qualifications:

  • 4+ years of experience in a customer-facing role, preferably in customer success, account management, or technical support within the SaaS industry.
  • Ability to quickly understand and articulate complex technical concepts related to our platform. Previous experience in electrical engineering or related fields is a plus.
  • Excellent verbal and written communication skills, with the ability to effectively convey technical information to both technical and non-technical audiences.
  • A passion for delighting customers and driving their success. Proactive, empathetic, and dedicated to delivering exceptional customer experiences.
  • Comfortable analyzing data and metrics to identify trends, track customer health, and drive insights for continuous improvement.
  • Ability to work cross-functionally with sales, product, and engineering teams to achieve shared goals and objectives.

Benefits:

  • Competitive compensation packages
  • Comprehensive Medical, Dental and Vision coverage + dependent coverage
  • 401k plan
  • Work life balance- flexible paid time off
  • Opportunity for significant variable incentive, along with equity.

 
If you are interested to become the part of our client’s Sales team send your resume to
 
IND123

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

AI Recruitment Trends 2025 (UK): What Job Seekers Must Know About Today’s Hiring Process

Summary: UK AI hiring has shifted from titles & puzzle rounds to skills, portfolios, evals, safety, governance & measurable business impact. This guide explains what’s changed, what to expect in interviews, and how to prepare—especially for LLM application, MLOps/platform, data science, AI product & safety roles. Who this is for: AI/ML engineers, LLM engineers, data scientists, MLOps/platform engineers, AI product managers, applied researchers & safety/governance specialists targeting roles in the UK.

Why AI Careers in the UK Are Becoming More Multidisciplinary

Artificial intelligence is no longer a single-discipline pursuit. In the UK, employers increasingly want talent that can code and communicate, model and manage risk, experiment and empathise. That shift is reshaping job descriptions, training pathways & career progression. AI is touching regulated sectors, sensitive user journeys & public services — so the work now sits at the crossroads of computer science, law, ethics, psychology, linguistics & design. This isn’t a buzzword-driven change. It’s happening because real systems are deployed in the wild where people have rights, needs, habits & constraints. As models move from lab demos to products that diagnose, advise, detect fraud, personalise education or generate media, teams must align performance with accountability, safety & usability. The UK’s maturing AI ecosystem — from startups to FTSE 100s, consultancies, the public sector & universities — is responding by hiring multidisciplinary teams who can anticipate social impact as confidently as they ship features. Below, we unpack the forces behind this change, spotlight five disciplines now fused with AI roles, show what it means for UK job-seekers & employers, and map practical steps to future-proof your CV.

AI Team Structures Explained: Who Does What in a Modern AI Department

Artificial Intelligence (AI) and Machine Learning (ML) are no longer confined to research labs and tech giants. In the UK, organisations from healthcare and finance to retail and logistics are adopting AI to solve problems, automate processes, and create new products. With this growth comes the need for well-structured teams. But what does an AI department actually look like? Who does what? And how do all the moving parts come together to deliver business value? In this guide, we’ll explain modern AI team structures, break down the responsibilities of each role, explore how teams differ in startups versus enterprises, and highlight what UK employers are looking for. Whether you’re an applicant or an employer, this article will help you understand the anatomy of a successful AI department.