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ODAIA

AI-powered pharma HCP targeting analytics

Senior Software Engineer

Full-Stack EngineeringPosted on Nov 10
Full-timeToronto, ON, Canada

About the Job

Requirements

  • 6+ years of professional software development experience, with significant ownership across frontend and backend systems and at least one experience leading a project with limited supervision.
  • Strong technical depth and sound systems judgment, including the ability to evaluate designs, explain their strengths or weaknesses, and recommend improvements.
  • Hands-on experience using coding agents as a primary way of building, including orchestrating agents across multiple tasks, structuring codebases or initiatives for agent effectiveness, critically reviewing output, and retaining ownership of the final implementation.
  • A track record of mentoring engineers and raising the technical bar on a team.
  • Deep experience with React and TypeScript, plus a strong grasp of browser fundamentals, state management, and frontend performance.
  • Extensive experience designing and operating APIs or backend services in Python, TypeScript, or similar technologies under real production load.
  • Strong engineering fundamentals in modular design, testing, and maintainable code, with judgment about when simplicity or greater rigor is appropriate.
  • Experience guiding AI coding agents effectively, reviewing generated output, and retaining full ownership of the final implementation.
  • A product-oriented mindset and clear communication with technical and non-technical stakeholders.
  • A cover letter describing a project where AI coding agents were used to deliver a significant part of the work, what was delegated, how output was reviewed and corrected, and where the candidate chose not to rely on the tool.

Responsibilities

  • Own significant product capabilities end-to-end, from ambiguous problem framing through design, implementation, deployment, and iteration with minimal oversight.
  • Build accessible, data-rich user experiences with React and TypeScript that make complex commercial and healthcare insights clear and actionable.
  • Build and maintain real-time computation services using AWS Lambda to serve scores and calculations on demand to the customer-facing application, with attention to latency, reliability, and cost at scale.
  • Design and maintain reliable, scalable APIs and backend services connecting company data, machine learning, analytics, and agentic capabilities to customer-facing products.
  • Work across AWS, Kubernetes, Snowflake, PostgreSQL, and embedded analytical engines such as DuckDB and DataFusion.
  • Lead technical design, code review, and architectural discussions, surfacing risks and trade-offs early.
  • Mentor other engineers and help shape team practices around testing, observability, and code quality.
  • Partner with engineering leadership on technical roadmap decisions and platform investments.

About the Company

ODAIA

AI-powered pharma HCP targeting analytics

ODAIA provides AI-powered predictive analytics and commercial insights for the pharmaceutical and healthcare sector through a SaaS platform called MAPTUAL. MAPTUAL helps identify, qualify, and engage healthcare providers, reducing the time it takes for therapies to reach patients. The platform has two main solutions: MAPTUAL Field, which helps sales teams target, predict, and engage HCPs, especially in declining markets or new markets; and MAPTUAL Sphere, which supports marketing teams and sales managers with real-time, historical, and future analytics across HCP segments and regions. ODAIA’s approach combines proprietary analytics with human-centric insights to enable better decision-making and faster therapy delivery, aiming to guide humans toward improved health journeys.

Company size
51-200
Company stage
Series B
Total funding
$43.4M
Headquarters
Toronto, Canada
Founded
2018

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