Synopsys, Inc.
About the Role
We are seeking an experienced and visionary AI Monetization & Business Development Manager to lead the strategy, execution, and scaling of revenue-generating initiatives in our AI product portfolio. This role sits at the intersection of technology, business strategy, and customer trust—turning cutting-edge AI capabilities into sustainable and profitable business models while ensuring robust data security, privacy, and governance practices.
You will own the monetization strategy for new AI-driven products, identify market opportunities, form strategic partnerships, and ensure that our AI commercialization aligns with the highest standards of data protection and regulatory compliance.
Key Responsibilities Monetization Strategy & Execution
Develop and implement pricing, packaging, and go-to-market strategies for AI products and services.
Partner with Finance, Marketing, and Product teams to align commercial goals with customer needs and compliance requirements.
Identify, Develop and test comprehensive AI monetization models that align with overall business objectives (models (e.g., subscription, usage-based, tiered offerings, API licensing).
Conduct market research, industry trends and competitive analysis to inform monetization and business development initiatives.
Business Development & Partnerships
Build relationships with ecosystem players including data providers, AI infrastructure partners, and distribution channels.
Manage joint go-to-market activities with strategic partners, ensuring all agreements meet security and governance standards.
Lead discussions with clients, understanding their needs and pain points, and presenting compelling AI solutions and value propositions.
Data Security & Governance
Collaborate with Security, Legal, and Compliance teams to ensure monetization strategies adhere to global data protection regulations (GDPR, CCPA, HIPAA, etc.).
Assess and mitigate risks related to data privacy, intellectual property, and AI ethics in new business opportunities.
Promote trust and transparency in AI solutions through responsible data usage and governance practices.
Market Intelligence & Growth
Conduct market research to assess competitive landscape, customer needs, and emerging trends in AI commercialization.
Analyze usage data, customer feedback, and industry benchmarks to refine monetization approaches.
Present growth forecasts and business cases to senior leadership.
Cross-Functional Leadership
Drive alignment between product roadmaps, monetization strategies, and governance policies.
Work closely with product and engineering teams to ensure monetization is integrated into product design from the outset.
Collaborate with AI specialists, data scientists, and engineers to understand the capabilities and limitations of AI technologies.
Qualifications
Master’s degree in Business, Economics, Computer Science, or related field (MBA preferred).
15 years’ experience with 3+ years in new product monetization at scale, business development, or strategic partnerships—ideally in AI, SaaS, or advanced tech sectors.
Exposure to Semiconductor and/or EDA is highly preferred.
Strong understanding of AI technologies, markets, and regulatory considerations.
Data-driven decision-making with the ability to translate analytics into actionable strategies.
Preferred Skills
Experience in
data security frameworks, governance models, and compliance requirements
for AI/data-driven products.
Familiarity with privacy-preserving AI techniques.
Global business development experience with multi-jurisdictional data compliance.
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You will own the monetization strategy for new AI-driven products, identify market opportunities, form strategic partnerships, and ensure that our AI commercialization aligns with the highest standards of data protection and regulatory compliance.
Key Responsibilities Monetization Strategy & Execution
Develop and implement pricing, packaging, and go-to-market strategies for AI products and services.
Partner with Finance, Marketing, and Product teams to align commercial goals with customer needs and compliance requirements.
Identify, Develop and test comprehensive AI monetization models that align with overall business objectives (models (e.g., subscription, usage-based, tiered offerings, API licensing).
Conduct market research, industry trends and competitive analysis to inform monetization and business development initiatives.
Business Development & Partnerships
Build relationships with ecosystem players including data providers, AI infrastructure partners, and distribution channels.
Manage joint go-to-market activities with strategic partners, ensuring all agreements meet security and governance standards.
Lead discussions with clients, understanding their needs and pain points, and presenting compelling AI solutions and value propositions.
Data Security & Governance
Collaborate with Security, Legal, and Compliance teams to ensure monetization strategies adhere to global data protection regulations (GDPR, CCPA, HIPAA, etc.).
Assess and mitigate risks related to data privacy, intellectual property, and AI ethics in new business opportunities.
Promote trust and transparency in AI solutions through responsible data usage and governance practices.
Market Intelligence & Growth
Conduct market research to assess competitive landscape, customer needs, and emerging trends in AI commercialization.
Analyze usage data, customer feedback, and industry benchmarks to refine monetization approaches.
Present growth forecasts and business cases to senior leadership.
Cross-Functional Leadership
Drive alignment between product roadmaps, monetization strategies, and governance policies.
Work closely with product and engineering teams to ensure monetization is integrated into product design from the outset.
Collaborate with AI specialists, data scientists, and engineers to understand the capabilities and limitations of AI technologies.
Qualifications
Master’s degree in Business, Economics, Computer Science, or related field (MBA preferred).
15 years’ experience with 3+ years in new product monetization at scale, business development, or strategic partnerships—ideally in AI, SaaS, or advanced tech sectors.
Exposure to Semiconductor and/or EDA is highly preferred.
Strong understanding of AI technologies, markets, and regulatory considerations.
Data-driven decision-making with the ability to translate analytics into actionable strategies.
Preferred Skills
Experience in
data security frameworks, governance models, and compliance requirements
for AI/data-driven products.
Familiarity with privacy-preserving AI techniques.
Global business development experience with multi-jurisdictional data compliance.
#J-18808-Ljbffr