Engineering Manager - Machine Learning

Weave • Lehi, UT

1d • Remote

About The Position

Weave is looking for an experienced and highly skilled Engineering Manager to lead a talented team of engineers. This role involves providing technical leadership, guiding the team through rapid software development, and ensuring the delivery of impactful solutions. A key responsibility will be fostering the technical and professional growth of team members. The ideal candidate will have excellent communication and interpersonal skills, capable of articulating the "why" behind team priorities and customer impact, while also leading technically challenging projects.
Team Info:
The Weave Machine Learning Team stands at the cutting edge of transforming how businesses interact with their clientele. Our dedicated Machine Learning team is committed to building safe, effective, world class AI solutions that transform how our customers do business. This allows businesses to streamline their operations and dedicate their valuable time to crucial tasks, while the robust Weave System efficiently handles a multitude of communication needs on their behalf. These include, but are not limited to, Call Intelligence, AI Receptionist, and many other emerging AI related features. This comprehensive approach empowers businesses to maintain seamless, proactive communication, fostering stronger customer relationships and significantly improving operational efficiency.
This position will be local or remote (US).
Reports to: Director of Engineering

Requirements

• Bachelor's degree in Computer Science or related technical field, or equivalent practical experience.
• 6+ years of engineering or related experience, including technical and organizational leadership.
• Strong understanding of distributed systems and experience in building scalable and redundant services.
• Experience with data and analytical systems such as postgresql, data warehousing, data lakes, embedded analytics, or similar technologies.
• Operational experience with web-scale infrastructure on public cloud deployments (GCP, AWS, Kubernetes).
• Solid understanding of a backend language (Go, Python, Java, C#, etc.). the Go Programming Language.
• Solid understanding of data science, machine learning models, operations and deployment methodologies

Nice To Haves

• Expertise with customer facing GenAI at scale, in production
• Expertise building low latency high accuracy AI Agents
• Experience with eventing systems, distributed data stores, and NoSQL technologies (e.g., Postgres, Kafka, Google PubSub, Redis, Bigtable, Spanner, S3, Iceberg, etc.).
• Strong track record of delivering complex projects on time in enterprise-grade production environments.
• Experience using AI tools to accelerate and enhance the software development lifecycle.
• Strategic thinker with a technical aptitude and passion for execution.
• Background in data analysis and visualization.
• Experience with Kubernetes or GKE and the Operator Pattern (GCP).
• Knowledge of distributed data technologies such as streaming, data lakes, warehouses, or distributed machine learning.

Responsibilities

• Lead and mentor a team of machine learning engineers, providing career coaching and support to help them develop their technical, business, and professional skills.
• Foster a customer-centric mindset within the team, ensuring a focus on customer and business outcomes.
• Collaborate with other teams to define technical roadmaps and manage cross-functional initiatives.
• Communicate effectively with stakeholders, distilling complex and ambiguous situations into actionable plans for your team.
• Drive the development process and best practices, with a focus on delivering incremental customer value.
• Provide clear, actionable project and development advice to your organization.
• Ensure the development of scalable and redundant services, leveraging distributed systems and web-scale infrastructure on public cloud deployments (GCP, AWS, Kubernetes).
• Demonstrate expertise in the Go or Python Programming Language and a solid understanding of distributed systems.
• Demonstrate expertise in Machine Learning and Gen AI skillsets and operations

What This Job Offers

• Job Type: Full-time
• Career Level: Manager