• Full Time
  • Anywhere

Job Description: Advantest Cloud Solutions (ACS) is a strategic business group within
Advantest Corporation focusing on building the infrastructure and
applications to provide advanced insights in silicon design, development
and manufacturing (with an emphasis on testing). ACS embraces a
vision of Open Solutions ecosystem and enables customers, ecosystem
software partners and research institutes to develop and deploy ML-
driven analytics solutions on our real-time data platform.

ACS is looking for a passionate senior leader with a proven track record
of scaling and growing large-scale SaaS products to lead our data
analytics engineering team. This leader will be responsible for the
vision, product strategy, and execution of our mission to deliver the
infrastructure and applications for a data analytics platform – working
closely with our product, business development and field teams to
define success and win.

As the VP Engineering, Data Analytics Solutions, you will play a critical
role to boost quality, yield, and operational efficiencies for
semiconductor design, development and manufacturing through
development of ML-driven analytics solutions. Given the breadth of the
solutions available in ACS, this role will require coordination across
many internal and external teams and will be visible at the highest
levels of the company. You will work with our customers, partners, and
operational stakeholders to deliver roadmap features and lead the
definition of new product capabilities.

Responsibilities:
o Manage the product development life cycle from strategic
planning to tactical execution

o Understand customers’ business objectives and delivering
solutions that align with those objectives
o Coach, mentor and lead ACS solution development teams
o Oversee scalable career growth, performance and budget
processes for a team of 100+ engineers
o Set up the right processes and infrastructure to deliver
products, scale engineering team, improve efficiency and
maintain innovative culture
o Work cross functionally with several teams including
engineering, product and go-to-market
o Ensure team delivers with high quality and predictability
o Represent ACS with many of our largest customers
Partner closely with peer engineering executives to ensure we operate
as a single team

Minimum Qualifications: Requirements:

. Skills and Experiences:
o Prior experience working in a fast-growing organization
o Experience leading a data analytics engineering team and
delivered successful SaaS products with $20M+ in annual
revenue
o Proven track record in leading, growing and building a large
engineering team across time zones and geographies
o Deep understanding of streaming data architectures and
security technologies for real-time and low-latency data
processing
o Deep understanding and application of modern data processing
technology stacks
o Proven experience of architecting solutions for data science and
analytics such as productionizing machine learning models and
collaborating with data scientists
o Understanding of agile development methods including core
values, guiding principles, and key agile practices
o Expertise with cloud technologies such as Amazon Web Services
(AWS), Microsoft Azure or Google Cloud Platform
o Outstanding customer communication skills
o Exceptional leadership capabilities and strong interpersonal
skills. Demonstrated ability to grow, develop, and retain top
talents.

o Prior experience at semiconductor analytics software company
is preferred
o Knowledge of semiconductor test and design validation process
is preferred
MS degree in Computer Science or equivalent practical experience

To apply for this job email your details to caspa@caspa.com