Qventus, Inc
Qventus, Inc
Qventus, Inc. izstrādā mākslīgā intelekta darbinātus SaaS risinājumus slimnīcām un veselības aprūpes sistēmām, palīdzot veselības aprūpes komandām pārvaldīt klīniskās darbības un pacientu plūsmu. Tās platforma apvieno mākslīgo intelektu, mašīnmācīšanos un uzvedības zinātni, lai automatizētu darba plūsmas perioperatīvajā aprūpē, pirmsoperācijas pārbaudēs un stacionārās aprūpes kapacitātes pārvaldībā. Integrējoties ar elektroniskajiem veselības aprūpes reģistriem, Qventus nodrošina operatīvos asistentus, kas veic ikdienas uzdevumus, palīdz samazināt atcelto operāciju skaitu, atbalsta īsāku uzturēšanos slimnīcā un sniedz klīniskajam personālam vairāk laika pacientu aprūpei.

Remote Technical Product Architect at Qventus

Lead technical product development for Qventus’s AI-powered Periop solution, from opportunity assessment to delivery. Use data analysis, healthcare integrations, and rapid prototyping to develop scalable products.

Apraksts

  • Own end-to-end development of technical areas within the Periop solution.
  • Identify opportunities and validate them through hands-on data analysis.
  • Work with engineering to build scalable solutions using advanced data and AI capabilities.
  • Coordinate with product, data science, design, clinical, customer success, and other cross-functional teams.
  • Manage technical product areas from evaluating opportunities through delivery.
  • Define product requirements and write product requirements documents (PRDs).
  • Use SQL/Snowflake, Sigma, and related tools to size opportunities, assess experiments, and measure customer impact.
  • Define data needs and integration approaches, including FHIR, HL7, and CCL.
  • Work with the team to ingest and validate new data and run experiments with it.
  • Develop solutions through rapid, iterative prototyping.
  • Prepare validated solutions for scalable rollout to all customers through the Delivery team.

Prasības

  • Communicate clearly and effectively in writing and conversation.
  • Present yourself professionally when working with customers and partners.
  • Solve problems systematically and analytically, with attention to detail and a grounding in business needs and end-user workflows.
  • Bring a startup mindset and help cover gaps across the team when needed.
  • Demonstrate collaboration across Product, Engineering, Customer Success, and Marketing or Sales.
  • Have experience with project or program management tools and methods.
  • Bring at least four years of experience in Solutions Architecture, Data Integration, Technical Product Management, Platform Product Management, or a related field.
  • Have worked with healthcare data and defined data requirements for new solutions.
  • Understand generative AI and machine learning concepts, particularly agentic generative AI frameworks and prompt engineering.
  • Understand backend software infrastructure at a high level.
  • Be proficient with a database or data warehouse query language such as SQL or Snowflake.
  • Be comfortable reading code and understand standard programming concepts across languages.
  • Experience configuring healthcare data streams with Rhapsody/Mirth or integrating with health systems through FHIR endpoints is valued but not required.
  • Software development experience is a plus.
  • Experience with analytics tools such as Sigma or Tableau is preferred but not required.
  • Successfully complete a pre-employment background investigation and drug test.
  • Be eligible to work in the United States.

Priekšrocības

  • Open paid time off.
  • Paid parental leave.
  • Professional development support.
  • Wellness stipend.
  • Technology stipend.
  • Employee referral bonus.
  • Employee stock option awards.
  • Equal opportunity employment.
  • Reasonable accommodations for individuals with disabilities.
  • Pre-employment background investigation and drug test.

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