Home

Partner

New

Explore

  1. Home/
  2. Explore/
  3. Aditya P Thakur
Aditya P Thakur, mentor on ADPList

Aditya P Thakur🇺🇸

Sr. Director, Software Engineering at Salesforce Inc.

OverviewReviewsAchievements

About Aditya P Thakur

Sr. Director, Software Engineering at Salesforce Inc.

Hi, I’m Aditya, a Senior Director of Software Engineering at Salesforce with 18+ years of experience building and scaling enterprise platforms, leading global engineering organizations, and driving AI-led transformation initiatives. My work spans AI-native engineering, cloud architecture, Quote-to-Cash systems, platform scalability, developer productivity, product strategy, roadmap execution, and operational excellence at enterprise scale. I regularly mentor engineers and leaders on technical strategy, career growth, organizational leadership, cross-functional execution, and navigating high-impact engineering environments. I’m also a speaker at industry conferences including Dreamforce and IEEE AI summits, and actively involved in engineering innovation and governance initiatives. I can help you with Engineering leadership & career growth Product strategy & roadmap planning System design & scalable architecture AI-native engineering & developer productivity Staff/management transition guidance Resume reviews & interview preparation Executive communication & stakeholder management Building high-performing engineering teams Enterprise platform modernization & operational excellence

Expertise

EngineeringProductAISystems DesignTechnical Product ManagementData engineeringDevelopment OperationsAI/ML EngineeringGenerative AIAI Product ManagementProduct strategyProblem-solving

Sessions with Aditya P Thakur

  • Rethinking Developer Productivity in the Age of AI (30 min): Join us for an engaging session that explores how to harness the power of AI to enhance developer productivity throughout the engineering delivery process. We will delve into the practical use cases of AI in both the inner and outer loops of development, providing insights into real-world applications that can significantly streamline workflows. Our discussion will also address essential adoption patterns that organizations should consider when integrating AI into their processes. We will touch on critical governance considerations to ensure that AI implementations align with best practices and ethical standards. Additionally, we will examine key performance metrics that matter most to developers and teams, including cycle time, PR throughput, review latency, deployment frequency, defect reduction, automation coverage, and overall developer experience. This session promises to provide valuable perspectives and actionable strategies that will empower you
  • Building Executive Presence as a Technical Leader (30 min): Learn how to communicate with clarity, confidence, and business context as a technical leader. We will discuss how to simplify complex technical topics, influence cross-functional stakeholders, present to executives, handle ambiguity, and build credibility through outcomes, metrics, and decision-ready storytelling.