Senior Product Designer / Data PlatformHeyDonto AI API • Knoxville, TN, United States
Senior Product Designer / Data Platform
HeyDonto AI API • Knoxville, TN, United States
[job_card.variable_days_ago]
[job_preview.job_type]
- [job_card.full_time]
[job_card.job_description]Platform Information Architecture : Global nav + object model across Site → Warehouse → Dataset → Pipeline (DAG) → Mapping Profile → Transform → Exposure → Run / Artifacts; Environments, versioning, RBAC / ABAC, audit / logging, approvals. Pipeline & Orchestration UX : DAG canvas, inspectors, schedule / retries, Temporal-aware timelines, lineage & impact analysis. Mapping & Transformation UIs : Visual schema browser, drag-map, AI-suggested mappings, validation gates, bi-directional transforms. Editors & Dev-tooling : SQL / JSON / YAML / code + visual hybrid authoring, autocomplete, linting, inline docs. Observability & Safety : Runs, logs, metrics, SLAs / SLOs, incident views, guardrails, rollbacks. AI-assisted UX : “Explain this failure,” self-healing proposals with confidence and lineage. Design System (Data-Dense) : Components for tables, diff viewers, DAG nodes, code editors, theming & accessibility. Drive product strategy with PM / Eng for authoring, runtime, governance, and intelligence features. Deliver flows, prototypes, specs, and redlines; validate with usability tests on real data scenarios. Establish and steward a Data Experience Design System (tokens, components, usage rules). Define success metrics (e.g., time-to-first-pipeline, mapping accuracy, failure prevention). Champion accessibility and performance in data-dense UI. Partner deeply with platform, interop, security, and customer engineering teams. Senior experience in product design and designing data / ETL / devtools or ML / observability platforms. Portfolio with shipped work in DAG / pipeline tools, schema / mapping UIs, query / transform editors, or observability consoles Working fluency with SQL, schemas, ETL concepts (lineage, CDC, SCDs), versioning, and rollbacks Proven ability to structure complex domains into clear mental models and scalable IA. Expert in Figma (components / variants, prototypes) and UX specs for engineers. Exposure to Kafka / Confluent, Flink / Temporal, dbt, Spark, GCP. Healthcare data standards : FHIR / HL7, PHI handling, masking, audit. MLOps / LLMOps consoles; evaluation tooling; confidence / lineage UX patterns. Experience with data governance and RBAC / ABAC at scale. Work Type : Remote Location : Open to candidates based in Europe, Latin America, or the U.S. Must overlap at least 3 hours with U.S. business hours. If you are interested in applying, please send your English Resume through LinkedIn or send it to maria@heydonto.com mentioning the name of the role you are applying for in the subject of the email. Also, please share Portfolio with shipped work in DAG / pipeline tools, schema / mapping UIs, query / transform editors, or observability consoles. Resume (English) + Portfolio Salary expectations Availability for interviews Earliest start date
We are looking for a SENIOR PRODUCT DESIGNER to shape the future of healthcare data platforms.
Open to candidates based in Europe, Latin America, or the U.S. Must overlap at least 3 hours with U.S. business hours.
About HeyDonto
HeyDonto transforms fragmented dental and healthcare data into interoperable, FHIR-native experiences—bi-directionally.
Our architecture spans on-prem synchronizers and cloud APIs, Kafka + Confluent Schema Registry, GCP, Temporal-orchestrated microservices, and an AI mapping engine rooted in evolutionary neural networks.
We’re extending these foundations toward self-healing, self-evolving substrates and semantic intelligence that adapt in real time across heterogeneous clinical ecosystems.
The Mission
Own and unify the end-to-end product design of HeyDonto’s data platform—Data Warehouse Management, Pipelines / Workflows, Procedures, AI / NN Analysis, Data Mapping + Mapping UI, Transformation UI, and Data Exposure UI.
The goal : make complex capabilities discoverable, safe, fast, and lovable for power users (data / ML / interop engineers) and approachable for newcomers.
Why this role matters now
- Phase One : scalable, bi-directional FHIR ⇄ legacy EHR transformations.
- Phase Two : adaptive, self-healing mapping and multi-schema intelligence.
- Phase Three : self-evolving substrates with memory, confidence, and audit.
- Phase Four (emerging) : semantic intelligence across large healthcare warehouses.
You’ll design the connective tissue and workflows that expose these capabilities coherently in the UI—today and as they evolve.
What you’ll design (scope) :
Key Responsibilities :
Qualifications (must-have) :
Nice-to-have :
Preferred Background
Data-Driven Software Companies : ClickHouse, Snowflake, Datadog, Airbyte, Confluent, Ververica, Segment.io
Cloud Providers : Google Cloud Platform (GCP), Azure, AWS
Hiring Details :
When applying, please include :
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