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Senior Product Designer / Data Platform
Senior Product Designer / Data PlatformHeyDonto AI API • Knoxville, TN, United States
Senior Product Designer / Data Platform

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]

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) :

  • 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.

    • Key Responsibilities :

  • 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.

    • Qualifications (must-have) :

  • 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.

    • Nice-to-have :

  • 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.

    • Preferred Background

    Data-Driven Software Companies : ClickHouse, Snowflake, Datadog, Airbyte, Confluent, Ververica, Segment.io

    Cloud Providers : Google Cloud Platform (GCP), Azure, AWS

    Hiring Details :

  • 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.

    • When applying, please include :

  • Resume (English) + Portfolio
  • Salary expectations
  • Availability for interviews
  • Earliest start date
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