Mgr, Engineering - Applied AI Engineering

📋 Description

• • As a Manager, Engineering - Applied AI Engineering at Clari + Salesloft, you will be at the forefront of building the next era of enterprise revenue. This pivotal role involves leading high-performing engineering teams to develop and deliver groundbreaking AI-driven enterprise-grade applications that are transforming how companies manage their revenue.
• • You will be instrumental in owning the execution of the product roadmap, working closely with Product Management and Data Science teams to translate complex customer needs into tangible, shipped features. This requires a deep understanding of user requirements and the ability to guide technical teams to deliver impactful solutions.
• • A key responsibility is driving cross-functional collaboration, ensuring seamless alignment with Platform and Go-to-Market (GTM) teams. This collaborative approach is essential for delivering measurable business impact and ensuring that engineering efforts are directly contributing to the company's strategic objectives.
• • You will be tasked with balancing the imperative for speed in delivery with an unwavering commitment to quality. This involves effectively scoping features, managing team commitments, and prioritizing ruthlessly to ensure that the most critical aspects of the product are delivered efficiently and reliably.
• • In terms of architecture and technology, you will drive the technical strategy for large-scale, LLM-powered systems. This demands making critical architecture decisions that balance cutting-edge innovation with the absolute necessity of production reliability and scalability.
• • You will play a crucial role in setting the direction for Generative AI (GenAI) capabilities within the platform. This includes evaluating emerging AI technologies, making informed build vs. buy decisions, and optimizing solutions for both cost-effectiveness and superior quality.
• • Maintaining the technical health of our systems is paramount. You will be responsible for proactively addressing technical debt and ensuring that all systems remain scalable, maintainable, and secure, adhering to the highest industry standards.
• • On the people and leadership front, you will lead and grow engineering teams that are responsible for shipping production AI systems utilized by thousands of customers. This involves fostering a culture of excellence, innovation, and continuous learning.
• • Developing your people is a core tenet of this role. You will conduct regular 1:1 meetings, guide career development, conduct performance reviews, and create clear growth paths for engineers at all levels, nurturing talent and fostering professional advancement.
• • Driving hiring excellence is critical to scaling our teams. You will be actively involved in sourcing, interviewing, and closing exceptional engineering talent across various levels, ensuring we attract and retain the best minds in the industry.
• • You will champion engineering excellence across the team, establishing and enforcing best practices for code quality, comprehensive testing strategies, robust evaluation frameworks for AI models, and rigorous operational procedures.
• • Tracking and optimizing operational metrics is essential for continuous improvement. You will drive the monitoring of key performance indicators including team velocity, system reliability, AI model quality, and Service Level Agreement (SLA) adherence.
• • Optimizing team delivery involves actively unblocking engineers, allocating resources effectively, and maintaining a sustainable and predictable pace of development. This ensures the team operates at peak efficiency.
• • Beyond the technical and leadership responsibilities, you will have the opportunity to work with inspiring colleagues who embody our 'team over self' core value. You will contribute to an impactful and revolutionary software product that is fundamentally changing how sales and revenue operations are conducted globally.
• • This role offers a unique chance to make a significant difference by shaping the future of enterprise revenue intelligence and building the platform that will guide leading revenue teams into the future.