• Manage and mentor a high-performing team, fostering a culture of technical excellence, psychological safety, and continuous delivery. • Define the Data Engineering team vision, balancing immediate business needs with a long-term shift towards a self-service data mesh architecture. • Oversee the development of core data pipelines and platform tools, ensuring high performance for ingestion services. • Ensure the implementation of robust ETL/ELT pipelines and scalable models (Kimball/Data Vault), maintaining overall warehouse health. • Champion DevOps best practices, utilising Docker, Kubernetes, and CI/CD to ensure platform resilience. • Partner with Data Architects and Governance teams to embed security, compliance, and robust system design into the platform.

• Lead a strong full stack engineering team, fostering a high-performance, high-trust culture • Drive execution across the stack — from early scoping to production reliability • Partner closely with Product, Design, and Operations to define and deliver roadmap priorities • Make pragmatic technical decisions and help your team balance speed, quality, and maintainability • Own delivery, accountability, and operational excellence for your team’s systems • Recruit, onboard, and mentor engineers to build a cohesive and inclusive team • Drive career development and performance management for your reports • Help define and evolve Dandy’s engineering practices, architecture, and culture • Contribute changes to our software as an engineer, shipping changes alongside the engineers

About Phaidra Phaidra is building the future of industrial automation. The world today is filled with static, monolithic infrastructure. Factories, power plants, buildings, etc. operate the same they've operated for decades — because the controls programming is hard-coded. Thousands of lines of rules and heuristics that define how the machines interact with each other. The result of all this hard-coding is that facilities are frozen in time, unable to adapt to their environment while their performance slowly degrades. Phaidra creates AI-powered control systems for the industrial sector, enabling industrial facilities to automatically learn and improve over time. Specifically: We use reinforcement learning algorithms to provide this intelligence, converting raw sensor data into high-value actions and decisions. We focus on industrial applications, which tend to be well-sensorized with measurable KPIs — perfect for reinforcement learning. We enable domain experts (our users) to configure the AI control systems (i.e. agents) without writing code. They define what they want their AI agents to do, and we do it for them. Our team has a track record of applying AI to some of the toughest problems. From achieving superhuman performance with DeepMind's AlphaGo, to reducing the energy required to cool Google's Data Centers by 40%, we deeply understand AI and how to apply it in production for massive impact. Phaidra’s ability to achieve its mission is determined by our ability to work together — as defined by our core values: Transparency , Collaboration , Operational Excellence , Ownership , and Empathy. We seek individuals who embody these values, as they are instrumental in ensuring our team consistently delivers excellence and fosters an engaging and supportive culture Phaidra is based in the USA, but we are 100% remote with no physical office. We hire employees internationally with the help of our partner, OysterHR. Our team is currently located throughout the USA, Canada, UK, Italy, Sweden, Spain, Portugal, the Netherlands, Singapore, Australia, and India. Joining the Talent Pool Please submit your resume/CV here, along with a cover letter explaining what your ideal position is and how your skills would fit with the team! Benefits & Perks Fast-paced, team-oriented environment where your work directly shapes the company’s direction. We are a 100% remote company. Competitive compensation & meaningful equity. Outsized responsibilities & professional development. Training is foundational; functional, customer immersion, and development training. Medical, dental, and vision insurance (exact benefits vary by region). Unlimited paid time off, with a required minimum of 20 days per year. Paid parental leave (exact benefits vary by region). Flexible stipends to support your workspace, well-being, and continued professional development. Company MacBook. Please note: Not all of Phaidra’s benefits and perks listed above apply to temporary employees such as interns. On being Remote We take a thoughtful and intentional approach to remote collaboration. Inspired by pioneers like GitLab, we embrace proven best practices to foster an exceptional remote work environment. Our culture is documentation-first, and we prioritize asynchronous communication to support focus and flexibility across time zones. While we value independence, we stay closely connected through tools like Slack and video conferencing. Weekly all-hands meetings help us align and build strong relationships, and we regularly host virtual team-building activities and social events to maintain a sense of camaraderie. Equal Opportunity Employment Phaidra is an Equal Opportunity Employer; employment with Phaidra is governed on the basis of merit, competence, and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability, or any other legally protected status. We welcome diversity and strive to maintain an inclusive environment for all employees. If you need assistance with completing the application process, please contact us at hiring@phaidra.ai. Additional information about E-Verify can be found here. #LI-Remote To be considered for any position at Phaidra, you must submit an online application. This role will remain open until it is filled. Phaidra only hires individuals who are legally authorized to work in the specified location(s) above. We do not provide employment sponsorship. Candidates requiring visa sponsorship, either now or in the future, are not eligible for hire. WE DO NOT ACCEPT APPLICATIONS FROM RECRUITERS.

About Agero: Wherever drivers go, we’re leading the way. Agero’s mission is to rethink the vehicle ownership experience through a powerful combination of passionate people and data-driven technology, strengthening our clients’ relationships with their customers. As the #1 B2B, white-label provider of digital driver assistance services, we’re pushing the industry in a new direction, taking manual processes, and redefining them as digital, transparent, and connected. This includes: an industry-leading dispatch management platform powered by Swoop; comprehensive accident management services; knowledgeable consumer affairs and connected vehicle capabilities; and a growing marketplace of services, discounts and support enabled by a robust partner ecosystem. The company has over 150 million vehicle coverage points in partnership with leading automobile manufacturers, insurance carriers and many others. Managing one of the largest national networks of service providers, Agero responds to approximately 12 million service events annually. Agero, a member company of The Cross Country Group, is headquartered in Medford, Mass., with operations throughout North America. To learn more, visit https://www.agero.com/. Note: For our technical positions, we love to get you started in person! You may be required to travel to Medford for your initial onboarding. Don't worry about the logistics - once you're hired, we handle all travel arrangements and expenses for you. Role Description and Mission: The Data Science / ML Engineering Manager is a critical leadership role responsible for managing a team of Data Scientists, ML Engineers, and Software Engineers focused on architecting, building, and operating the next-generation Dispatch Optimization platform. This role demands deep expertise in Data Science, Machine Learning, constrained Optimization (Operations Research), and scalable cloud-native service development. You will drive scientific rigor and engineering excellence to transform model outputs into real-time, high-impact dispatch decisions that directly optimize cost efficiency and service levels. Key Outcomes: Team Development & People Management Leadership & Mentorship: 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. Talent Strategy: 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. Road-mapping & Project Management: 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. Strategic Technical Direction & Delivery Scientific Strategy: Lead the process to define and select the optimal Data Science, Machine Learning, and Optimization strategy. This includes facilitating deep technical discussions within the team, reviewing and challenging proposed approaches, and making the strategic decision that balances scientific rigor (as assessed by the team), technical feasibility, and overall business impact. System Architecture & MLOps: 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. Operationalize: 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. Technical Excellence: Actively manage technical debt and ensure the prompt resolution of critical production issues by maintaining robust monitoring, alerting, and logging systems. Collaborate with Architecture to guide platform design and identify opportunities to integrate emerging technology trends. Communication & Operational Rigor Communication: 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. Continuous Improvement: 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. Operational Compliance: Maintain rigorous operational standards, manage platform development and deployment costs, and ensure security and regulatory compliance activities, including external audits and system documentation Skills, Education and Experience: EDUCATION : Bachelor's Degree (Master's preferred) in Computer Science, Computer Engineering, Data Science, Operations Research, or a closely related quantitative field. EXPERIENCE: 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. ROLE BASED COMPETENCIES (KNOWLEDGE, SKILLS & ABILITIES): Technical Expertise: 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). ADDITIONAL REQUIREMENTS: 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. Hiring In: United States: Arizona, California, Florida, Georgia, Illinois, Massachusetts, Michigan, New Hampshire, New Mexico, New York State, North Carolina, Tennessee, Virginia, Texas, Colorado. The anticipated closing date to submit applications for this role is February 28, 2026. Join our Greenhouse Candidate Portal to track your application status and receive instant alerts for future openings. The base salary range presented represents the anticipated low and high end salary range for new hires in this position. Your final base salary will be determined based on factors such as work location, experience, job related skills, and relevant training and education. The range listed is just one component of the total compensation package provided by Agero to employees. National Pay Range $150,000 — $200,000 USD Life at Agero: At Agero, you'll find a workplace where your unique perspective is not just welcomed, it's celebrated. We believe that our differences make us stronger, and we're committed to creating an environment where every employee feels a sense of belonging. If you're looking for a company that values your individuality, provides opportunities for growth, and champions open communication, Agero is the place for you. Join our team and help us drive the future of driver assistance, while experiencing a workplace where you can truly thrive. Benefits Built for Well-being: Agero’s innovation is driven by a workforce where all associates feel like they can truly thrive. Agero offers a wide range of benefits to promote well-being, encourage personal development, and ensure financial stability. Our benefits include: Health and Wellness: Healthcare, dental, vision, disability, life insurance, and mental health benefits for associates and their families. Financial Security: 401(k) plan with company match and tuition assistance to support your future goals. Work-Life Balance: Flexible time off, paid sick leave, and ten paid holidays annually. For Contact Center Roles: Accrual of up to 3 weeks Paid Time Off per year, paid sick leave, and ten paid holidays annually. Family Support: Parental planning benefits to assist associates through life’s milestones. Bonus/Incentive Programs Join Agero and experience a workplace that invests in your success both personally and professionally. *Applicants must be currently authorized to work in the United States on a full‑time basis. This position is not eligible for employer visa sponsorship now or in the future. *It is unlawful in Massachusetts to required or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.