Senior Technical Product Manager

Working for a company like Smile Digital Health means supporting our mandate for #BetterGlobalHealth. We strive towards this goal every day, and the results can be seen in the impact of our innovative health data platform and data management solutions, which are used in over 20 countries. We were #19 on Deloitte's Technology Fast 50 Ranking for 2024! Smile Digital Health makes it easy for healthcare stakeholders to collect and exchange data with our leading FHIR-based data liberation platform. At its heart, the Smile platform enables people and organizations to better manage healthcare data. We help generate and liberate structured healthcare data to ensure effective delivery across care teams and health systems bringing #BetterGlobalHealth to patients everyday! Apply today and find plenty of reasons to SMILE! We are looking for a Senior Technical Product Manager to drive the next generation of our high-throughput, enterprise data ingestion and data management architecture. In this role, you will lead the strategic transformation of our Data Ingress Engine using technologies like Apache Spark, Databricks, and Medallion Lakehouse Architecture You will also own the product roadmap for our core Master Data Management (MDM) and Data Remediation Engines, defining how millions of disparate clinical records are cleansed, matched into a single "Golden Patient Record," and safely reprocessed when errors occur. If you thrive at the intersection of distributed systems, high-volume streaming/batch data pipelines, and complex data models, this role is for you. Responsibilities: Data Ingress & Decoupled ArchitectureLead the product vision and roadmap to decouple core data ingestion modules from operational API boundaries, turning them into highly scalable, standalone micro-servicesProductize event-driven and streaming ingestion pipelines (e.g., Kafka/Spark Structured Streaming) capable of processing billions of high-velocity recordsEstablish clear API contracts, event interfaces, and integration specs for external sources feeding raw payloads (HL7 v2, C-CDA, FHIR JSON, Claims) into our platform Big Data & Medallion Analytics StrategyDefine requirements for transitioning mass analytics pipelines onto a Databricks / Medallion Architecture using Apache SparkDrive the design of optimized Silver and Gold layer datasets, ensuring deeply nested JSON formats (e.g., FHIR) are efficiently flattened and structured into high-performance columnar models (Delta Lake/Parquet) for OLAP analyticsPartner with engineering architects to balance real-time, low-latency micro-batches against cost-optimized, high-throughput daily batch workloads Master Data Management (MDM) & Identity ResolutionOwn the product requirements for our FHIR-native MDM Engine, defining rules for deterministic and probabilistic patient matching at scaleProductize Survivorship Logic to establish rules for creating and maintaining the "Golden Record" across fragmented data feedsDesign crosswalk management capabilities to track source-to-target entity linkages across millions of patient lives Error Remediation & Exception ManagementBuild out the end-to-end exception lifecycle for data validation failures—from isolation in Dead-Letter Queues (DLQs) to structured error reportingDefine requirements for Data Steward interfaces and APIs, allowing users to review validation exceptions, perform manual record merges/unmerges, and correct bad data payloadsArchitect Idempotent Replay Mechanisms to re-ingest corrected payloads through Spark processing pipelines without generating duplicate data or corrupting state Requirements: Must Have Experience 5+ years of Technical Product Management experience leading complex backend data platforms, distributed data engineering products, or big-data ingestion systemsHands-on Distributed Computing Knowledge: Proven track record productizing solutions powered by Apache Spark (batch or streaming) and distributed data processing frameworksDatabricks / Lakehouse Expertise: Deep familiarity with Medallion Architecture (Bronze/Silver/Gold) and Delta Lake/Parquet performance patternsOLAP / Columnar Strategy Mindset: Demonstrated experience optimizing complex, highly nested arrays and hierarchical data structures for analytical query enginesIdentity & Governance: Direct experience productizing Master Data Management (MDM), entity resolution, or identity matching toolsFault-Tolerant Systems: Experience with event-driven architectures, Dead-Letter Queues (DLQs), and data replay/remediation workflowsTechnical Proficiency: Ability to comfortably write and execute SQL and Python to analyze raw datasets, validate engine output, and define logic rules Nice-to-Have Experience Experience with healthcare data standards, including HL7 FHIR, C-CDA, or HL7 v2Exposure to healthcare terminologies (SNOMED CT, LOINC, RxNorm, ICD-10)Familiarity with SQL-on-FHIR analytics standards Smile discloses that artificial intelligence (AI) may be used in portions of the recruitment and selection process, such as resume screening or application assessment. All hiring decisions are ultimately made by qualified human decision-makers, and AI tools are used to support — not replace — fair and equitable hiring practices. This position is a replacement role, created to support Smile’s continued growth and commitment to operational excellence. Some of the benefits we offer: Remote Work Environment Flexible Time Away From Work Policy including PTO, Personal and Sick Days Competitive Salary and Health/Medical Benefits RRSP/TFSA/401K Employee Contribution Life and Disability Employee Assistance Program FHIR Study Program and Skillsoft Learning Super HAPI Fun Club Smile's core values include respect, inclusion, embracing our differences, and celebrating shared values because our people are the foundation of our success. We are big on creating a sense of belonging and empowering each other to bring our authentic selves to work. We are dedicated to fostering a workplace that values diversity, equity, and inclusion. We welcome and encourage candidates of all backgrounds to apply. Candidates are encouraged to inform us if they wish to discuss or require accommodations during interviews or while working at Smile. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.