Agero, Inc. · 1 day ago
Engineering Manager (Data Science/ML)
United States
Full-time
Onsite
Senior Level
$150K/yr - $200K/yr
6+ years expAgero, Inc. is a leading provider of digital driver assistance services, focused on enhancing the vehicle ownership experience through innovative technology. They are seeking a Data Science / ML Engineering Manager to lead a team responsible for developing a next-generation Dispatch Optimization platform, driving scientific rigor and engineering excellence to optimize dispatch decisions and improve service levels.
AutomotiveInformation TechnologyInsuranceInsurTech
Responsibilities
Directly manage and foster a small and high-impact squad of Data Scientists, ML Engineers, and Optimization Specialists, providing expert technical guidance, mentorship, and day-to-day support
Attract, develop, and retain top talent in modeling, ML engineering, and cloud-native service development by cultivating a positive, inclusive, and collaborative high-performance team culture
Own the successful implementation and delivery of projects defined on the ML roadmap with the highest quality and on time
Define and implement robust Software Development Lifecycle (SDLC) processes tailored for ML and optimization (Agile/Scrum)
Plan and manage platform feature development, including project estimation, risk management, and resource allocation
Lead the process to define and select the optimal Data Science, Machine Learning, and Optimization strategy
Guide the design and implementation of end-to-end cloud-native Python services (batch/streaming) that execute constrained optimization algorithms and deliver low-latency, real-time dispatch decisions
Define and foster the MLOps strategy, ensuring the automation of model training, validation, A/B testing/rollout, and production monitoring using tools like SageMaker, Airflow, or similar industry platforms
Actively manage technical debt and ensure the prompt resolution of critical production issues by maintaining robust monitoring, alerting, and logging systems
Partner effectively with Product, Operations, and Data Engineering teams
Clearly communicate complex technical findings, scientific trade-offs, and operational risks to non-technical stakeholders and executive leadership
Establish metrics for product performance (e.g., NPS / cost telemetry), monitor operational health, identify failure modes, and drive rapid iteration cycles based on empirical data
Maintain rigorous operational standards, manage platform development and deployment costs, and ensure security and regulatory compliance activities, including external audits and system documentation
Qualification
Required
Bachelor's Degree in Computer Science, Computer Engineering, Data Science, Operations Research, or a closely related quantitative field
6+ years relevant experience in Data Science, ML Engineering, or Operations Research, with significant experience transitioning research models into production-grade, scalable systems
2+ years proven experience in engineering management or a similar technical leadership role, specifically managing Data Science or ML Engineering teams
Demonstrated track record of successfully leading and shipping complex DS/ML and Optimization projects (e.g., dispatch platforms, real-time decision engines) that delivered measurable business value
Experience managing and operating 24x7 real-time information systems and/or technical operations
Deep understanding of Data Science, ML techniques (e.g., XGBoost, PyTorch, Transformers), optimization methods (MIP/Linear/Stochastic), and architectural requirements for low-latency, real-time decision services
Skilled in Python, SQL, and Cloud (AWS) MLOps and Data pipelines (Airflow, SageMaker, or equivalents)
Proven ability to inspire, lead, mentor, and hire specialized DS/ML talent, fostering a collaborative, data-driven environment
Expertise in project estimation, planning, and risk management within an Agile/Scrum framework, including defining and driving technical roadmaps
Exceptional ability to partner with cross-functional stakeholders (Product, Ops) and present scientific and operational findings to executive audiences
Flexibility to adapt to changing priorities and fast-paced environments
Availability for occasional travel or extended hours as required for project deadlines production incidents and critical issues
Preferred
Master's Degree in Computer Science, Computer Engineering, Data Science, Operations Research, or a closely related quantitative field
Experience with MLOps strategy, ensuring the automation of model training, validation, A/B testing/rollout, and production monitoring using tools like SageMaker, Airflow, or similar industry platforms
Proactively identifies, evaluates, and champions emerging Machine Learning models and research paradigms (e.g., LLMs, Generative AI, Causal Inference, Foundation Models) and assesses their direct potential to solve critical business problems or unlock new product capabilities
Benefits
Healthcare, dental, vision, disability, life insurance, and mental health benefits for associates and their families.
401(k) plan with company match and tuition assistance to support your future goals.
Flexible time off, paid sick leave, and ten paid holidays annually.
Parental planning benefits to assist associates through life’s milestones.
Bonus/Incentive Programs
Company
Agero, Inc.
Agero is working with leading vehicle manufacturers and insurance carriers to drive the next generation of roadside assistance technology forward.
1001-5000 employees
H1B Sponsorship
Agero, Inc. has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (8)
2024 (10)
2023 (11)
2022 (15)
2021 (19)
2020 (15)
Funding
Current Stage
Late StageTotal Funding
$4.75M2022-08-12Series Unknown· $4.75M
2013-08-15Acquired
Leadership Team
Dave Ferrick
Chief Executive Officer and President
Recent News
2025-12-02
Help Net Security
2025-10-02
Company data provided by crunchbase