Wisedocs

Frontend Engineer

• Designing and implementing key front-end features for our automation platform and advanced machine learning engine.
• Leading the creation of customer-centric features in response to growing client demand.
• Crafting front-end components with an emphasis on usability, performance, and adherence to best coding practices.
• Leading a small team of engineers.
• Running experiments on UX/UI patterns to improve AI productivity.

Front End Tech Lead

Full-stack Engineer

• Developing robust, scalable APIs in Python (Django and Fast API).
• Collaborating with other technical stakeholders and leaders to actively work towards the design and implementation of systems.
• Ensuring the reliability and scalability of our AI Insights platform.
• Building ML/AI adjacent systems with AI engineering tooling (RAG, AI workflows, Evals, etc).
• Other duties and responsibilities will be assigned as projects develop, adjust and mature.

AI Insights Lead

Machine Learning Engineer

• Designing and implementing machine learning models to analyse and interpret large datasets of medical and insurance documents
• Developing robust, scalable APIs in Python
• Collaborating with other technical stakeholders and leaders to actively work towards the design and implementation of systems.
• Ensuring the reliability and scalability of ML systems, implementing best practices in data engineering and model lifecycle management.
• Work with our expert in the loop teams to build industry leading evaluations
• Other duties and responsibilities will be assigned as projects develop, adjust and mature.

Senior Machine Learning Engineer

Customer Success Manager

• Serve as the strategic owner for major insurance carrier accounts, responsible for executive alignment, long-term value realization, and account direction.
• Lead strategic check-ins, business reviews, and planning conversations that align Wisedocs to customer operational goals.
• Build trusted relationships with claims leaders, medical directors, operational managers, and executive stakeholders.
• Own the renewal lifecycle for assigned accounts, including early risk assessment, renewal forecasting, and strategic positioning.
• Proactively identify value gaps or risks well ahead of renewal timelines.
• Prepare executive-level business impact summaries, usage insights, and alignment materials.
• Identify early health risks through usage patterns, sentiment shifts, workflow anomalies, or escalation trends.
• Respond quickly and empathetically to escalations, providing clear timelines and follow-up.
• Collaborate with Product, ML, Engineering, Implementation, and Support.

Strategic Customer Success Manager – Insurance Carriers

Account Executive

• Running a full lifecycle of an opportunity, from sourcing all the way through to close.
• Running discovery calls, demos, and negotiation calls.
• Building a pipeline of opportunities and researching, engaging and qualifying prospective customers through calling, emailing, networking, social media and in person.
• Collaborate closely with our Customer Success organization to ensure a smooth hand off from sales to onboarding for our clients.
• Work cross functionally with teams including product and operations to provide consistent client and market feedback to the organization.
• Travel nationally and to the US to attend Conferences and other events.
• Other duties as assigned.

Front End Tech Lead

AI Insights Lead

Senior Machine Learning Engineer

Strategic Customer Success Manager – Insurance Carriers

Enterprise Account Executive