Principal Product Manager

Autodesk is a company that transforms ideas into reality through innovative software. They are looking for a Principal Product Manager to lead the strategy and execution of the Opportunity Lifecycle & Sales End-to-End product area, focusing on AI-assisted guidance and operational scale through automation.

Responsibilities:

• Own the long-term product vision and roadmap for Opportunity Lifecycle and Sales End-to-End workflow integrity in Salesforce Sales Cloud, aligned to Autodesk's GTM strategy and process standards
• Define and prioritize scalable GTM process capabilities across the full opportunity arc: creation, progression, quoting/order handoff, fulfillment, and closed-loop updates
• Identify and frame the highest-leverage problems through discovery with sales roles, ops, enablement, and field leadership — converting insights into clear PRDs, user stories, acceptance criteria, and success metrics with end-to-end traceability
• Own Sales End-to-End handoff integrity across Opportunity, Quote, Order, Fulfillment, and closed-loop updates — ensuring minimal breakpoints, clear system-of-record boundaries, and reliable data flow even when adjacent teams own their systems (CPQ, Order Management, Fulfillment)
• Drive governance and resolution patterns for complex deal scenarios that commonly break processes, including: Split / merge / clone opportunities, Ownership, team, and role changes mid-deal, Post-quote edits and safe-change windows, New purchase, amendment, expansion, and renewal-related opportunity behaviors
• Define and enforce closed-loop integrity so that deal outcomes reliably propagate back to the opportunity record — manually and through automation
• Define the vision and phased roadmap for AI-assisted seller experiences: "next best action" recommendations, in-context help, and guided updates — prioritizing reliability, explainability, and trust
• Design and scale automation (validations, guided flows, prompts, defaults) that reduces manual work, prevents invalid states, and improves cycle time
• Establish measurement frameworks for AI-assisted capabilities: adoption, task completion, seller satisfaction, error rates, and business impact
• Model and reinforce the product operating model: outcome-driven PRDs (WHY/WHAT, not HOW), measurable success criteria with baselines and targets, telemetry-first launches, and non-functional requirements as first-class specifications
• Drive continuous product health monitoring — ensuring every capability area has adoption, reliability, data quality, and business outcome metrics that are tracked and reviewed on cadence
• Influence decisions as the Opportunity Lifecycle SME — recommend best practices, propose tradeoffs, and guide stakeholder decisions through clear narratives and data-backed reasoning, up to VP level
• Build alignment through structured interlocks, demos, and decision logs across Sales Strategy, Sales Leaders/Managers/Reps, Sales Ops, Enablement, Deal Desk, Engineering, UX, and Data
• Drive release readiness, enablement, and adoption plans; measure impact and iterate

Requirements:

• 5+ years of product management experience in enterprise systems, internal tools, or GTM platforms, with demonstrated ownership of CRM process capabilities at scale
• SME-level experience in Opportunity lifecycle management in a complex B2B sales environment — including process design, governance, workflow integrity, and adoption across global sales roles
• Working knowledge of: Salesforce Sales Cloud Core (data and functional models), Salesforce Sales Performance Management (SPM), Sales engagement platforms (e.g., HVS, Groove), Pipeline management and sales forecasting fundamentals
• Strong product craft: ability to write clear, outcome-driven PRDs; define rigorous acceptance criteria; manage cross-team dependencies; and deliver end-to-end outcomes with measurable success criteria
• Exceptional communication skills — verbal, visual, and written — including strong demo skills and the ability to persuade diverse stakeholders (Sales leadership, Ops, Enablement, Engineering) up to VP level
• Fluency with AI tools to accelerate analysis, synthesis, documentation, and workflow design — while maintaining high standards of accuracy and critical judgment
• Experience driving Opportunity lifecycle capabilities across global sales roles and geographies, including support for change management and enablement at scale
• Familiarity with quote-to-order ecosystem handoffs (CPQ and downstream systems) and common failure modes that impact opportunity integrity and closed-loop accuracy
• Strong analytics capability (BI tools and/or SQL) to define and monitor adoption, data quality, cycle time, and workflow error rates — and to hold teams accountable to measurable outcomes
• Experience defining AI-assisted selling experiences (nudges, prompts, in-context help, agent-based workflows) from 0 → 1, with emphasis on reliability, explainability, and measurable business impact
• Demonstrated ability to lead multi-program roadmaps and guide multiple PMs toward end-to-end coherence — operating as a technical/product leader through influence rather than direct authority
• Experience establishing or operating within a product operating model that emphasizes outcome-driven specifications, telemetry-first launches, non-functional requirements, and continuous product health monitoring