PanAgora Asset Management · 11 hours ago
Director of Software Engineering (MLOps & ML Governance)
United States
Full-time
Remote
Senior Level, Lead/Staff
$138K/yr - $200K/yr
10+ years expPanAgora Asset Management is focused on transforming financial lives and fostering a flexible work environment. The Director of Software Engineering will lead the MLOps function and ensure scalable, secure, and compliant machine learning solutions while collaborating with various teams to achieve strategic business initiatives.
FinanceFinancial Services
No H1B
Responsibilities
Leads the execution of deliverables with the risk and engineering teams ensuring projects are completed on time and within predefined requirements and budgets
Accountable for team performance within assigned projects, including software engineering and MLOps initiatives
Serves as subject matter expert on multiplatform applications and ML infrastructure, determining course of action under the direction of systems leadership
Directs the system development lifecycle including the design, coding, testing, documentation, maintenance, and support of proprietary and purchased software systems and applications
Leads the design, implementation, and scaling of enterprise MLOps platforms and capabilities, including CI/CD pipelines for ML, model versioning, automated testing, monitoring, and model lifecycle management
Establishes best practices for model deployment, observability, performance monitoring, drift detection, and retraining strategies
Partners with Data Science, Risk, Compliance, Legal, and Information Security teams to ensure machine learning systems meet regulatory, governance, and risk management requirements
Implements and oversees ML governance frameworks including model documentation, validation, explainability, auditability, fairness/bias monitoring, and model risk management controls
Ensures adherence to enterprise data governance, privacy, and AI risk policies, including responsible AI standards
Recommends innovation and improvements to policy or procedures; has the latitude to make decisions affecting mid- to long-term operational results
Develops long- and short-term business and technology strategies aligned to AI/ML roadmaps
Responsible for managing operating costs and budgets, including infrastructure investments for ML platforms. Makes decisions on pay, performance, appraisals, schedules, discipline, and hiring
Builds and leads a high-performing MLOps and engineering organization, establishing clear career paths and leadership development for managers and senior engineers
Qualification
Required
Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or related field; or equivalent combination of professional experience and/or training required
10+ years of experience in software engineering, including experience building distributed or cloud-based systems
4+ years successfully managing teams (including managers), with demonstrated ability to develop, motivate, and direct leaders and technical contributors
Proven experience leading or building an MLOps function or production-grade ML platforms in an enterprise environment
Strong understanding of ML lifecycle management including model training, validation, deployment, monitoring, and governance
Experience implementing ML governance and model risk management frameworks (e.g., documentation standards, validation controls, bias/fairness testing, explainability techniques, audit readiness)
Familiarity with regulatory expectations for AI/ML in highly regulated industries (e.g., financial services, healthcare, etc., as applicable)
Experience with cloud platforms (AWS, Azure, GCP), containerization (Docker/Kubernetes), CI/CD pipelines, and infrastructure-as-code
Strong understanding of data governance, privacy, security, and compliance considerations related to AI/ML systems
Ability to manage a leadership pipeline by mentoring subordinate managers and nurturing senior technical talent
Excellent executive communication skills with the ability to translate complex ML and risk topics into business-aligned decisions
Benefits
Medical, dental, vision and life insurance
Retirement savings – 401(k) plan with generous company matching contributions (up to 6%), financial advisory services, potential company discretionary contribution, and a broad investment lineup
Tuition reimbursement up to $5,250/year
Business-casual environment that includes the option to wear jeans
Generous paid time off upon hire – including a paid time off program plus ten paid company holidays and three floating holidays each calendar year
Paid volunteer time — 16 hours per calendar year
Leave of absence programs – including paid parental leave, paid short- and long-term disability, and Family and Medical Leave (FMLA)
Business Resource Groups (BRGs) – BRGs facilitate inclusion and collaboration across our business internally and throughout the communities where we live, work and play. BRGs are open to all.
Company
PanAgora Asset Management
PanAgora Asset Management is a quantitative investment manager whose proprietary approach is designed to capitalize on inefficiencies across market cycles and to deliver relative and absolute returns through distinct and innovative equity, multi-asset and risk premia strategies.
51-200 employees
Funding
Current Stage
Growth StageLeadership Team
Eric Hevering Sorensen
CEO
Recent News
2025-10-31
2025-08-14
2025-07-04
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