AI Capability & Value Strategy Lead

Position overview

Capability benchmarking

• Prioritize what to benchmark based on workflow value, strategic importance, and competitive relevance.
• Map priorities to Industry Cloud problem areas, determine required evidence, and define comparison sets covering Autodesk and external alternatives.
• Collaborate on relevant human metrics and comparisons.
• Present clear assessments of Autodesk capability against frontier models, competitors, and industry baselines, including to the C-suite.
• Evolve reporting channels and cadence and keep questions moving to answers on decision-relevant timelines.
• Partner with technical benchmarking engineers, who own task curation and evaluation, to shape future measurements.

Business value and customer validation

• Translate model capability into business value and evolve ROI measurement.
• Connect capability improvements to workflows and customers affected, and to revenue or cost implications.
• Own the customer and industry validation standard for new business bets.
• Work with industry product teams to ground measurement in customer workflows and confirm that customers recognize and value improvements.
• Reconcile benchmark evidence with customer evidence when they disagree and determine which should guide decisions.

Competitive strategy

• Assess Autodesk capabilities relative to the market and set priorities for competitive research.
• Translate meaningful capability differences into research questions and investment recommendations with AI Research and AI Economics.
• Inform scenario planning and build-versus-partner decisions.

Minimum qualifications

• At least 7 years in strategy consulting, corporate or business strategy, technical product management, AI strategy, applied research, competitive intelligence, or related roles.
• Able to challenge evaluation metrics and determine whether benchmark results support conclusions.
• Able to translate technical capability changes into workflow, customer, competitive, and business implications.
• Able to structure ambiguous questions, work with incomplete evidence, and develop defensible points of view.
• Can work credibly with technical teams and communicate relevant implications clearly to executives.
• Track record influencing research, product, or investment priorities without direct authority.
• Strong analytical judgment and concise executive communication.
• Bachelor's degree or equivalent practical experience.

Preferred qualifications

• Experience in strategy consulting, product strategy, or structured analysis of complex technical or market questions.
• Experience using benchmarks or technical evidence to inform product, research, or investment decisions.
• Experience with competitive intelligence, scenario planning, or technology landscape analysis.
• Familiarity with AI model evaluation or benchmarking; direct hands-on experience is valuable but not required.
• Experience with unit economics, adoption modeling, ROI analysis, Autodesk industries, or leading or mentoring analysts.

Salary transparency

• For Canada-based roles, expected starting base salary is $129,000–$189,200; offers depend on experience and geographic location and may exceed the range.
• Compensation may also include annual cash bonuses, stock grants, and benefits; commissions may apply to sales roles.

Onboarding

• The role may require in-person onboarding and/or in-person identity verification.