Wisedocs

• Lead discovery to understand customer workflows, constraints, and goals • Design clear, practical solution approaches that leverage Wisedocs’ capabilities • Structure ambiguous problems into actionable solution plans • Ensure proposed solutions are both valuable to the customer and feasible to deliver • Lead solution-oriented demos, workshops, and proof-of-concept engagements • Help customers understand how Wisedocs fits into their workflows and drives outcomes • Build credibility through a strong understanding of customer needs and use cases • Partner with Product to share grounded, actionable insights from customer engagements • Help identify patterns in enterprise use cases that inform roadmap decisions • Collaborate on shaping solutions where product capabilities are evolving • Work closely with Customer Success/Services to scope implementations • Ensure alignment between solution design and delivery approach • Identify and communicate risks, dependencies, and constraints early • Contribute to solution playbooks and reusable patterns for common use cases • Support Sales and CS with guidance on positioning and solution approaches • Share insights that improve how Wisedocs sells and delivers solutions • Strengthen relationships with Wisedocs’ largest insurance carriers through proactive engagement, thoughtful business reviews, and consistent follow-through • Drive retention and renewal outcomes by helping customers clearly understand and realize value within their claims workflows • Reduce operational friction and escalations through early risk identification and structured intervention • Influence product direction by bringing forward clear, customer-informed insights from complex carrier environments

• 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. You will approach renewals as a continuation of partnership, grounded in demonstrated value, operational outcomes, and trust. • 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. Partner cross functionally to drive resolution. Maintain structured documentation of issues, root causes, and action plans. • Act as the voice of the customer internally. Collaborate with Product, ML, Engineering, Implementation, and Support. Work within a pod structure to ensure coordinated support for large carriers. Surface patterns from customer files and behaviours to inform product roadmap discussions. Contribute to the development of strategic account processes, tools, and best practices to support a scalable enterprise customer success motion.

Wisedocs is a fast-growing, venture-backed AI platform that transforms how insurance companies analyze claims. With ~$20M USD raised, 100+ team members globally, and 90+ customers across North America and Australia, we’re doubling revenue year over year.  Founded by experts who’ve experienced the claims process firsthand, Wisedocs combines deep domain knowledge with next-gen AI trained on 100M+ documents. Our platform turns complex medical records into clear, structured insights—backed by expert human oversight.  Join a mission-driven team building intelligent products that cut through complexity, accelerate decision-making, and make a real impact when it matters most.  Role Summary  As we continue to grow, we are seeking a Medical Documentation Specialist  to join our team. This role provides hands-on experience working with AI systems in a fast-paced and fast-growing technology company. You will act as a subject-matter expert embedded directly into AI workflows, evaluating, correcting, and enhancing AI-generated medical outputs and actively seeing first-hand how human judgment shapes machine learning outcomes. As an integral part of our innovative and cutting-edge environment, you will gain direct exposure to how AI products are built, improved, and scaled in a real-world startup environment, working alongside our team of brilliant machine learning and tech engineers.   This position offers a strong foundation for career growth or transition, helping you develop technical fluency, data literacy, and an AI-first mindset. For individuals who demonstrate strong performance and curiosity, this role can serve as a stepping stone into more technical paths within AI operations, quality, or machine learning teams.  This position supports a U.S. government contract. Therefore, having U.S. citizenship of 3+ years is a prerequisite for this role, and you will be required to undergo a security clearance. What you’ll be doing  - Review, validate, and improve AI-generated outputs  - Identify systemic errors, edge cases, and opportunities to improve model performance  - Must be able to review and document with strong quality focus and application of clinical experience to extract key information for medical summaries and compare data with source documents to detect clinical or technical errors  - Provide structured feedback to QA and Machine Learning teams on model behavior, error patterns, and data quality issues to directly influence training and iteration cycles  - Identify recurring data issues or annotation inefficiencies and propose workflow or tooling improvements  - Meet or exceed defined productivity and quality benchmarks in a high-throughput, AI-assisted production environment.  - Other duties and projects as assigned  What experience we need  - Background in health sciences, clinical documentation, or medical data is valued; however, demonstrated interest in technology, AI-enabled workflows, or data-driven systems is essential  - Comfort working with AI-generated outputs and a mindset oriented toward leveraging automation to improve speed, consistency, and scale  - This position is ideal for candidates with health sciences or clinical background seeking to evolve their careers in a more technical direction.  - This role serves as an entry point for career growth into more technical roles, including Quality, AI Operations, or Machine Learning teams, for individuals who demonstrate strong performance, technical aptitude, and curiosity.    Technical & Analytical Skills  - High comfort working in web-based tools, annotation platforms, and productivity software  - Strong keyboard proficiency and ability to work efficiently in high-volume digital environments  - Ability to learn new tools quickly and adapt to evolving AI-driven workflows  - Basic understanding of how machine learning systems are trained and improved (training provided)  - Experience with data labeling, QA workflows, or structured data review is a plus  - Exceptional grammar, communication and writing skills  - High level of accuracy, attention to detail and ability to exercise flexibility and comfort making judgment calls related to AI outputs  - Ability to balance speed and accuracy in a production environment   - Ability to work independently as well as collaboratively in a team-oriented environment  What We Offer  - Remote for US based employees   - Modern employee benefits, including health and dental coverage   - Competitive compensation, with valuable stock options, as we’re still a young company growing very quickly.    - An opportunity to develop very rapidly in your career. We can offer you a super-immersive learning environment, and when you thrive there, you will have the opportunity to rapidly develop this opportunity into senior practitioner or management opportunities as you choose.    - Access to a learning and professional development fund to help you level up your career while you’re working with us. We hope to be an incredible step up in your career if you decide to come and work with us.    - Company events    - Generous Paid Time Off    - Paid Sick Days    - Casual Dress code    - Employee Referral Bonus    - Tuition Assistance    - Plus, many other Recognition Programs!    Recruitment Journey at Wisedocs    We're excited to meet you and explore the possibilities together!  At Wisedocs, honesty is one of our core values. Our Recruitment process is transparent to ensure you are set up for success:     - Round 1 – People & Culture Chat: 20–30 min conversation about your background, goals, and the role.   - Between Round 1 & 2 - Technical Assessment: If you move forward, our People & Culture team will send you a technical assessment to complete.  - Round 2 – Meeting with the Performance Manager: A 30-minute conversation focused on your interest in technology and healthcare, as well as your experience working with medical records  - Round 3 – Meeting with the Medical Data Team Lead: A 30-minute conversation focused on your experience, your interest in working at Wisedocs, and a discussion around Wisedocs’ mission and impact. *Wisedocs AI is an equal opportunity employer and is committed to providing employment accommodation in accordance with AODA. If you require accommodation, please notify us and we will work with you to meet your needs.

• Review, validate, and improve AI-generated outputs • Identify systemic errors, edge cases, and opportunities to improve model performance • Must be able to review and document with strong quality focus and application of clinical experience to extract key information for medical summaries • Provide structured feedback to QA and Machine Learning teams on model behavior, error patterns, and data quality issues • Identify recurring data issues or annotation inefficiencies and propose workflow or tooling improvements • Meet or exceed defined productivity and quality benchmarks in a high-throughput, AI-assisted production environment • Other duties and projects as assigned

• Review, validate, and improve AI-generated outputs • Identify systemic errors, edge cases, and opportunities to improve model performance • Must be able to review and document with strong quality focus and application of clinical experience to extract key information for medical summaries and compare data with source documents to detect clinical or technical errors • Provide structured feedback to QA and Machine Learning teams on model behavior, error patterns, and data quality issues to directly influence training and iteration cycles • Identify recurring data issues or annotation inefficiencies and propose workflow or tooling improvements • Meet or exceed defined productivity and quality benchmarks in a high-throughput, AI-assisted production environment • Other duties and projects as assigned