Sr. Manager, Data Engineering

• Manage a team of Data Engineers and Data Analytics Engineers owning our data infrastructure, including our medallion layers, data pipelines, and collaborating closely with MLEs on LLM Operations and agentic products. • Navigate ambiguity, driving innovation through rapid prototyping and iterative development in cross-functional teams • Partner with function leads and senior leadership to align growth paths, performance expectations, and strategic goals with technical excellence standards. • Translate the Data Engineering vision into clear objectives, priorities, and milestones, ensuring effective project scoping, resourcing, and delivery. • Define and refine agile workflows tailored to data engineering, managing key rituals such as design sessions, sprint planning, and retrospectives. • Serve as the primary delivery interface across Product, Engineering, and Customer Success, ensuring alignment, transparent communication, and continuous improvement of team operations. • Drive hiring excellence by attracting, developing, and scaling a high-performing team aligned with business needs. • Who We Hope You Are: • 8+ years of experience in data science, data engineering, or machine learning–related roles. • 4+ years in a people management or delivery management role (directly leading technical contributors). • Proven experience managing cross-functional ML technical teams and driving delivery across multiple workstreams. • Strong understanding of data science lifecycle (from ideation and experimentation to deployment and maintenance). • Practical experience with agile methodologies (Scrum, Kanban) and delivery facilitation. • Excellent communication, organizational, and stakeholder management skills. • Ability to balance technical depth with delivery discipline, ensuring outcomes, not just output. • Experience with LLM Ops, agentic framework, data governance, and productionization best practices. • Experience as a Scrum Master, Agile Coach, or Technical Program Manager. • Background in a hybrid data engineering/product engineering environment. • Exposure to customer-facing or forward-deployed data engineering work. • Experience in scaling data engineering orgs and defining operating models. • $225,000 - $255,000 a yearFinal offer amounts are determined by multiple factors including candidate location, experience and expertise and may vary from the amounts listed above. Total compensation package does include stock options, benefits and additional perks. • Here at Federato, your capabilities are important, but culture fit is essential. We move fast, are eager to listen to our users, take a first principles approach to solving problems, and value learning and the ability to change our minds. Most importantly, we're here to have fun. Our ability to make a difference starts with our people. We would love to work with you! • We are an equal-opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender expression, sexual orientation, age, marital status, veteran status or disability status. We will provide reasonable accommodation to individuals with disabilities to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation at [email protected]