Senior Director - Software Engineering

Salesforce•Indianapolis, IN

1d•$230,700 - $351,800

About The Position

About Salesforce Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn’t a buzzword — it’s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all. Ready to level-up your career at the company leading workforce transformation in the agentic era? You’re in the right place! Agentforce is the future of AI, and you are the future of Salesforce. As the Senior Director of Engineering for the Unified Automation and Activations team, you will be a pivotal leader in shaping and executing the strategic vision for the next generation of automation and agents that powers our Salesforce Marketing and Sales Go-To-Market (GTM) teams. This critical role involves leading and motivating a high-performing engineering organization responsible for building and operating massively scalable, mission-critical transaction platforms. These platforms leverage our internal Salesforce Data 360 instance to drive automation and AI at scale to support response management, lead management, campaign management, and the development of our next-generation pipeline decision engine. This role requires a blend of deep technical expertise on the Salesforce platform, execution excellence, strategic thinking, and exceptional leadership to guide the Engineering team to deliver transformative solutions that drive measurable business impact.

Requirements

12+ years of intense experience in software engineering, with 5+ years in a Director or Senior Director role leading large-scale, enterprise-level organizations.
Proven experience leading leaders, including managing multiple engineering managers and senior technical leads, with an overall span of control of 30+ engineers across several cross-functional teams.
Proven hands-on background in designing and delivering large-scale, production-grade services using Java/Node JS, with the ability to provide architectural guidance and support complex technical decision-making.
Deep technical mastery of the Salesforce Platform ecosystem, including Salesforce platform, Flow, Heroku, Mulesoft, and APEX.
Deep technical mastery in Data Engineering, Analytics, or massive-scale SaaS platforms, ideally with experience working with a centralized data instance like Data 360.
Extensive experience building, scaling, and maintaining complex enterprise automation or ML/AI products that operate 24x7.
Proven experience driving the adoption and continuous improvement of Agile and/or Lean methodologies across all engineering teams, ensuring high-velocity execution, predictable delivery, and a focus on customer value.
Exceptional executive communication and storytelling skills—able to align executives, researchers, and engineers around a complex technical strategy and shared vision.
Demonstrated ability to define and drive Engineering Operational Excellence, including establishing metrics, automation frameworks, reliability practices, CI/CD standards, and governance models that improve quality, velocity, and long-term maintainability across engineering teams.
Demonstrated experience in driving the strategy and execution for a technical product or platform.
Proven ability to work effectively in a dynamic environment and manage competing priorities.
Bachelor's or Master's degree in Computer Science, Engineering, or a related field (or equivalent practical experience)

Nice To Haves

Direct experience with marketing technology, sales enablement platforms, lead management, campaign optimization, or cross-channel attribution.
Experience building and scaling marketing applications, including lead management, campaign management, and customer engagement platforms.
Prior hands-on experience or significant leadership exposure to Generative AI, Autonomous Agents, and MLOps in a high-velocity, production environment.
Expertise in cloud-native architectures (AWS, GCP, or Azure) and modern data lake/warehouse technologies.
Proven record of building and shipping products that use machine learning or LLMs to enhance user experiences.

Responsibilities

Deliver Technical Solution to meet Product Vision: Partner with Product Management to translate product design into the technical solution that unlock business value. Lead the engineering teams to deliver technical solutions for the unified automation and activation team on the Salesforce ecosystem, driving intelligent Sales and Marketing GTM motions.
Develop and Manage High-Scale Applications: Own the design, operation, and reliability of massively scalable automation and transactional platforms, ensuring seamless and performant execution of core systems like response management, campaign management, and other mission-critical applications.
Drive Next-Generation Decisioning: Lead the engineering development of a next-generation decision engine for Marketing and Sales pipeline, leveraging AI, ML models and signals from Data 360 to optimize GTM strategies autonomously and instantly.
Lead and Grow High Performing Engineering Team: Lead, mentor, and grow a large engineering organization, cultivating a high-velocity culture defined by technical excellence, ownership, and professional growth.
Champion Technical Excellence: Champion engineering best practices, operational excellence, and agile methodologies, with a specific focus on the Salesforce platform and cloud-scale systems.
Drive Cross-Functional Alignment: Collaborate closely with Product Management, Architects, other Engineering teams, and business stakeholders to translate GTM and business demands into shippable code that delivers measurable value for internal stakeholders.
Manage Complex Project Execution: Drive the successful execution of complex technical projects across multiple scrum teams, ensuring timely delivery of high-quality tooling and services that meet business objectives.
Drive Engineering Operational Excellence: Define and implement scalable processes, metrics, and best practices across engineering teams in partnership with other engineering leaders to ensure reliability, efficiency, and continuous improvement. Lead initiatives around CI/CD automation, system monitoring, incident management, and operational governance to maintain high-quality, resilient, and performant platforms.