Establish and implement organization-wide processes; continuously improve operational effectiveness and velocity using Agile and Lean principles
Anticipate bottlenecks, manage risks, lead escalations, and balance business needs with technical constraints
Communicate program progress and decisions across organizational boundaries and levels - from individual contributors to senior executives
Functions as an equal partner with Engineering counterparts, Architects, Product Managers, Experience Designers, and Product Owners
Define and drive program outcomes, deliverables, milestones, and dependencies; plan and ensure successful delivery
Provide technical leadership to program teams and mentor less experienced colleagues
Collaborate with subject matter experts to simplify complex technical issues and steer data-driven decisions across product, engineering, design, and data science teams
Partner with product, technology, and platform leaders to shape and operationalize Data and AI/ML platform strategies, including Large Language Model initiatives
Drive alignment across divisional leadership and cross-functional teams; clarify ambiguity and bring structure to chaotic environments
Requirements
ai/ml
data
confluence
jira
github
bachelor's
Experience building products based on data, hypotheses, and MVPs by defining and aligning on clear requirements
Thrives in ambiguity; able to make sense of chaos, drive clarity, and create structure where none exists
Action-oriented, detail-driven, and passionate about process excellence and continuous learning
Prior development or management experience on Data or AI/ML platforms in a large tech company
Operates at both strategic and execution levels; comfortable negotiating and influencing senior leadership and imparting a sense of urgency
Exceptional communication and influencing skills across all organizational levels in hybrid/remote environments
Proactive in stakeholder management and relationship building Balances high-level strategy and vision with detailed, large-scale cross-functional planning
Bachelor’s degree in Statistics, Operations Research, Mathematics, Computer Science, Data Science, Machine Learning, or other quantitative fields
Proficiency with tools such as Confluence, JIRA, GitHub, and AI productivity tools
7+ years of experience as a Technical Program Manager, Technical Product Manager, Software Architect, or similar role, preferably delivering Data and AI/ML solutions
Strong technical aptitude and ability to clearly explain AI/ML concepts (e.g., supervised/unsupervised learning, generative AI)
Benefits
Information not given or found
Training + Development
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Interview process
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Visa Sponsorship
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Security clearance
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Company
Overview
Founded in 1982
Year of establishment
Marks the beginning of Autodesk's journey in pioneering design software solutions.
Pioneered software for 2D and 3D design, revolutionizing industries.
Known for products like AutoCAD, it reshaped architecture, engineering, and manufacturing workflows.
Empowering creators in fields from construction to digital media, enabling more innovative designs.
Develops tools used in iconic projects, from skyscrapers to blockbuster movies.
Pushes the boundaries of design technology, leading the way in artificial intelligence and automation.
Software is a cornerstone in diverse sectors, from industrial to infrastructure, energy, and entertainment.
Cloud-based solutions streamline design processes and foster real-time collaboration across industries.
A leader in 3D design software, with solutions powering projects in every corner of the globe.
Committed to shaping the future of digital design, bringing complex visions to life.
Culture + Values
Innovation: We believe in the power of creativity to push boundaries and change the world.
Collaboration: We work together to create solutions that make a difference.
Customer Success: We are focused on delivering products and services that help our customers succeed.
Sustainability: We are committed to making a positive impact on the planet and communities.
Integrity: We act with honesty and uphold the highest ethical standards.
Inclusion: We embrace diverse perspectives and strive for an environment where everyone belongs.
Environment + Sustainability
2023
Net-zero commitment
Aiming to achieve net-zero carbon status, a critical step in combating climate change.
35%
Carbon emissions reduction
Significant reduction in overall carbon footprint across all emission scopes since 2019.
Designing products that help users make more sustainable decisions, including tools for low-carbon building design.
Aims to advance climate resilience by providing tools to better predict and plan for climate risks.
Promotes circular design principles and helps customers optimize material use and reduce waste.
Inclusion & Diversity
30% Female Workforce
Gender Diversity
As of 2023, 30% of the global workforce identifies as female, highlighting progress in gender diversity across the organization.
25% Leadership Representation
Female Leadership
25% of leadership positions are held by women, indicating strides toward gender parity in executive roles.
2025 Diversity Goal
Leadership Commitment
A strategic initiative to boost representation of underrepresented groups in leadership positions by 2025.
12 Employee Groups
Employee Resource Networks
Twelve employee resource groups are supported, fostering inclusion and community for diverse populations including women, LGBTQ+, and veterans.
Leadership Commitment: Has set a goal to increase representation of underrepresented groups in leadership by 2025.
Inclusive Hiring: Implements inclusive recruitment practices and strives for diverse candidate slates for all roles.