Product Manager AI/ML f/m

Ansys is the global leader in engineering simulation, helping the worlds most innovative companies deliver radically better products to their customers. By offering the best and broadest portfolio of engineering simulation software, Ansys helps companies solve the most complex design challenges and engineer products limited only by imagination.

Summary / Role Purpose

The Product Manager AI/ML is responsible to develop a plan to incorporate AI/ML technology into the Ansys product roadmaps so that our customers can benefit from these new technologies. The individual has broad working knowledge of the product portfolio and works together with the global PM team, the CTO office, the Product Marketing and R&D teams. The Product Manager AI/ML is responsible to spread the information on AI/ML plans and initiatives across Ansys.

Key Duties and Responsibilities
Explore opportunities to utilize AI/ML technologies (like ChatGPT) across the Ansys product portfolio by strong collaboration with the Ansys product management team and the CTO team.
Identify the additional business potential that Ansys could leverage by systematic adoption of AI/ML technology in its products.
Contribute to an Ansys AI/ML product vision and a corresponding strategy for cross-product/cross BU adoption of AI/ML technologies to achieve that vision.
Spread the information on AI/ML plans and initiatives across Ansys (AI/ML information hub)
Work with product line and product managers across the Ansys portfolio to include AI in their product plannings to support the strategy.
Identify and describe use cases and target personas.
Identify product capabilities based on AI for the Ansys product lines/products
Derive appropriate time plans for the realization.
Coordinate the product planning efforts to leverage synergies and avoid parallel developments.
Assist the Ansys product managers with updating their GTM strategies for AI/ML capabilities included in their product lines/products.
Monitor the progress of the AI roadmap and the business impact.
Work with product marketing and field marketing on external messaging of the Ansys AI/ML vision and strategy.
Minimum Education/Certification Requirements and Experience
Required Education and Degree Type: Bachelors degree in Engineering, Computer Science, Data Science, Machine Learning or closely related field.
Required Minimum Years of Experience: 2+ years of combined experience in any of the following: engineering, computer aided engineering (CAE) simulations, AI/ML, computer science, or data science (alternatively holding a Masters degree and no experience.)
Understanding of machine learning concepts, machine learning models, and algorithms.
Understanding of AI and other specialized concepts like deep learning.
Basic understanding of common programming languages, such as Python.
Experience with commercial CAE tools, engineering simulation concepts, and product capabilities.
Excellent communication skills, especially the ability to communicate business value of technical innovations.
Must be able to travel up to 25% of the time (Europe, US and Global).
Preferred Qualifications and Skills
Masters degree in business, science or engineering, 5+ years of combined experience in engineering, CAE simulations, computer science or AI/ML related technologies
Experienced in using Ansys flagship products of the BU and/or competitive products in the market
Complete understanding of various machine learning branches and disciplines such as supervised and unsupervised learning.
Prior experience in a technical engineering, technical sales or product management role
Req: 12184

CULTURE AND VALUES
Culture and values are incredibly important to Ansys. They inform us of who we are, of how we act. Values arent posters hanging on a wall or about trite or glib slogans. They arent about rules and regulations. They cant just be handed down the organization. They are shared beliefs - guideposts that we all follow when were facing a challenge or a decision. Our values tell us how we live our lives; how we approach our jobs. Our values are crucial for fostering a culture of winning for our company:
Customer focus
Results and Accountability
Innovation
Transparency and Integrity
Mastery
Inclusiveness
Sense of urgency
Collaboration and Teamwork
WORKING AT ANSYS
At Ansys, you will find yourself among the sharpest minds and most visionary of leaders, collectively aiming to change the world with innovative technology and remarkable solutions. With the prestigious reputation in servicing well-known, world-class companies, standards at Ansys are high, met by those willing to rise to the occasion and meet those challenges head-on. Because at Ansys, its about the learning, the discovery and the collaboration. Its about the "whats next" as much as the "mission accomplished". Its about the melding of disciplined intellect with strategic direction and results that have, can and will impact real people in real ways, forged within a working environment built on respect, autonomy and ethics.

At Ansys, you will find yourself among those eager to drive the world towards the next best thing with hands planted firmly on the wheel.
Our team is passionate about pushing the limits of world-class simulation technology so our customers can turn their design concepts into successful, innovative products faster and at lower cost. As a measure of our success in attaining these goals, Ansys has been recognized as one of the worlds most innovative companies by prestigious publications such as Bloomberg Businessweek and FORTUNE magazines.

Ansys is an S&P 500 company and a component of the NASDAQ-100.

For more information, please visit us at

Ansys is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, and other protected characteristics.

Ansys does not accept unsolicited referrals for vacancies, and any unsolicited referral will become the property of Ansys. Upon hire, no fee will be owed to the agency, person, or entity.
Ansys

Fecha de publicación: 24/03/2023