interface.ai · 21 hours ago
Engineering Manager- Data and Applied ML
San Francisco / Palo Alto (In-Office)
Full-time
Onsite
Senior Level, Lead/Staff
$170K/yr - $190K/yr
8+ years expInterface.ai is a company focused on reimagining banking experiences for consumers through innovative technology. They are seeking a deeply technical Engineering Manager to lead their Data Engineering and Applied Machine Learning efforts, responsible for designing and building critical data and ML systems while mentoring a team of engineers and data scientists.
Enterprise SoftwareFinTech
Responsibilities
Design and build data pipelines supporting high-volume, low-latency workloads
Architect end-to-end data and ML systems across ingestion, transformation, storage, feature generation, and serving layers
Write and review production-quality code, guiding schema design, partitioning, and performance tuning
Debug complex issues across data correctness, model performance, latency, and system scalability
Make architectural trade-offs between lake house, warehouse, streaming, and real-time inference systems
Own and evolve the core data platform supporting analytics, experimentation, and ML workloads
Build and operate modern data systems using distributed compute, streaming platforms, and cloud-native storage
Design feature pipelines and data services consumed by ML models and product teams
Implement semantic layers and data APIs to ensure metric consistency and reuse
Partner with infrastructure teams on reliability, capacity planning, and cost optimization
Lead teams building applied ML models, analytics, and experimentation frameworks
Collaborate with data scientists to productionize models, from offline training to online inference
Own ML data workflows including feature engineering, model evaluation, monitoring, and retraining pipelines
Enable experimentation platforms, A/B testing, and feedback loops for continuous learning
Drive best practices around model performance, bias detection, and explainability
Establish data and ML quality standards, validation, and anomaly detection
Implement observability across pipelines and models (metrics, alerts, drift detection)
Enforce data governance, PII handling, access controls, and auditability
Define SLAs/SLOs for data freshness, model reliability, and system availability
Partner closely with Security and Compliance teams to meet regulatory requirements
Lead and mentor data engineers, ML engineers, and data scientists
Set technical standards for architecture, code quality, testing, and documentation
Drive sprint planning, execution, and delivery accountability
Hire, onboard, and grow senior engineers and scientists capable of owning complex systems
Foster a culture of ownership, rigor, and continuous technical improvement
Work closely with Product, AI, Platform, Security, and Compliance teams
Translate business and product requirements into scalable data and ML systems
Communicate architectural decisions, risks, and trade-offs clearly to leadership
Qualification
Required
8+ years of experience building data-intensive and ML-driven systems
2+ years of experience managing engineers and/or data scientists while remaining hands-on
Strong expertise in programming languages like Node.js, Python or Golang; experience with distributed data processing frameworks
Hands-on experience with streaming systems and real-time data processing
Experience designing and operating data lakes, warehouses, or lake house architectures
Experience supporting ML training, feature pipelines, and online inference in production
Deep understanding of data modeling, performance optimization, and system reliability
Strong debugging and operational experience in cloud environments
Preferred
Experience enabling AI-first or ML-heavy products
Familiarity with experimentation platforms, model evaluation, and monitoring
Experience in regulated or enterprise-scale environments
Prior background as a Staff or Principal Engineer before moving into management
Benefits
100% paid health, dental & vision care
401(k) match & financial wellness perks
Discretionary PTO + paid parental leave
Mental health, wellness & family benefits
Company
interface.ai
interface.ai is an award-winning out-of-the-box Intelligent Virtual Assistant(IVA) for Banks & Credit Unions.
51-200 employees
H1B Sponsorship
interface.ai 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 (3)
Funding
Current Stage
Growth StageTotal Funding
$30MKey Investors
Avataar Venture Partners
2024-10-22Series A· $20M
2024-10-22Debt Financing· $10M
Leadership Team
Srinivas Njay
Co-Founder and CEO
Steve Swanston
Chief Revenue Officer (CRO)
Recent News
Interface AI Inc.
2025-12-02
Interface AI Inc.
2025-11-19
Company data provided by crunchbase