WeaveEngineering Manager - Machine Learning
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
What You Will Own
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 You Will Need to Accomplish the Job
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
What Will Make Us Love You
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.
At Weave, we use Artificial Intelligence (AI) tools to help us work more efficiently and create a smoother candidate experience. AI may assist with things like writing job descriptions, scheduling interviews, or reviewing applications against job-related criteria. For additional information, please review the External AI Policy Statement available on our Careers page.
Weave is an equal opportunity employer that is committed to fostering an inclusive workplace where all individuals are valued and supported. We welcome anyone who is hungry to learn, problem-solve and progress regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, or other applicable legally protected characteristics. If you have a disability or special need that requires accommodation, please let us know.
All official correspondence will occur through Weave branded email. We will never ask you to share bank account information, cash a check from us, or purchase software or equipment as part of your interview or hiring process.