Manager, Software Engineering (Machine Learning/LLM) | Salesloft | Remote (United States)

Job Title: Manager, Software Engineering Location: United States – Remote THE OPPORTUNITY: Although we’re proud of our history, we’re just as excited about the future. We want to create a world-class culture and company that attracts, develops, engages and retains elite talent. At SalesLoft, our Engineering Manager is pivotal to our company’s success. You will be a key member of our fast-growing and high-performing Engineering team. You will partner with other Engineering Managers in the company to lead and drive continuous process improvements and innovation as well as establish trust across the org with Product Managers, Support, Technical Operations, and peer engineering teams. As an Engineering Manager, you will help engineers to develop their career plans and assign project work tailored to their skill set. In addition to working with amazing colleagues who exemplify our ‘team over self’ core value, you will also have the opportunity to manage and define processes and metrics for a team that supports impactful and revolutionary software that is changing the way sellers sell. You will have an opportunity to make a difference. WE’RE LOOKING FOR: We are seeking a visionary and technically adept manager to work with our team of Machine Learning (ML) engineers, with a strong emphasis on expertise in Large Language Models (LLMs). This role is crucial for driving the adoption and integration of LLM capabilities within our ML practices, ensuring these technologies are scalable, robust, and aligned with the company’s strategic objectives. Your leadership will be key in helping the team to develop and implement best practices for LLMs, as well as creating the infrastructure and reusable components that will empower the entire organization. You will mentor a talented team of ML engineers, helping them navigate complex projects and pushing them to continuously elevate their technical skills. Collaboration and clear communication with cross-functional teams will be essential to ensure that our ML and LLM initiatives deliver significant impact and advance our company’s goals. If you’re looking for an opportunity to lead a cutting-edge team at the forefront of AI, drive innovation across the organization, and play a pivotal role in the future of our ML capabilities… If you’re passionate about developing and leading top-tier engineers in the field of machine learning and LLMs, then becoming our next Manager of ML Engineering is the ideal career move for you! THE TEAM: Our SalesLoft’s Engineering team is comprised of seasoned and up-and-coming Full-Stack engineers who are all aligned on one vision and mission: • Vision: Every seller is loved by the buyers they serve (#saleslove) • Mission: Equip companies to maximize revenue by creating a fantastic buying experience The Engineering team consists of people passionate about solving the customer’s problems and who is unflappable in the face of technical challenges. They are also the epitome of our core values – Customers First. Team Over Self. Focus on Results. Bias Towards Action. Glass Half Full. THE SKILL SET: • 2+ years of people management experience or demonstrated ability to quickly learn and adapt to leadership roles, ideally with experience in leading ML engineering teams. • Experience interviewing, onboarding, and leveling up software developers and technical positions, and ensuring that multiple teams of engineers have everything they need to excel in their work • A proven servant leader with a track record of creating high-functioning teams • 10+ years of previous experience in the software development field – either as a software engineer or another technical leadership role • Strong expertise in Machine Learning with a focus on Large Language Models (LLMs), along with experience using ML frameworks and libraries like Spark, PyTorch, or TensorFlow. • Experience establishing strategic relationships quickly • Ability to communicate across contexts and cultures throughout multiple departments • Adept at understanding the root cause of customer requests and pinpointing the correct way to solve the problem • Highly collaborative mentality WITHIN ONE MONTH, YOU’LL: • Attend SalesLoft’s New Hire Orientation, where you will learn our SalesLoft story and understand what makes our “Lofters” unique • Attend an Engineering Department orientation • Begin 1:1’s with your manager, understand your 30-60-90 plan • Begin 1:1’s with your team members and understand their career goals • Meet key players in departments that work directly with the engineering team • Gain a deep understanding of the existing ML and LLM systems, processes, and infrastructure. • Identify immediate areas for improvement and begin formulating strategies to address them. • Set Personal Learning Goals • Start conducting weekly team meetings WITHIN THREE MONTHS, YOU’LL: • Set your OKRs (Objectives and Key Results) with your manager and develop an action plan to achieve them • Identify metri