Role Description Vous voulez avoir un vrai impact sur des produits complexes, utiles et concrets ? Chez INQOM, on révolutionne la production comptable grâce à la technologie. Et on cherche aujourd’hui un·e Product Manager pour piloter un périmètre clé : le déclaratif fiscal, notamment autour de la liasse fiscale la TVA (hors TVA liasse fiscale). Vous serez responsable d’un produit à forte valeur métier, au croisement du droit fiscal, de la comptabilité et de l’expérience utilisateur. Votre objectif : comprendre les enjeux, écouter les utilisateurs, proposer les bonnes solutions, et les livrer avec rigueur, intelligence et ambition. Si vous aimez résoudre des problèmes complexes, que vous n’avez pas peur de plonger dans le métier et que vous voulez faire avancer un produit qui a du sens : ce poste est pour vous. Missions - En tant que Product Manager sur le périmètre déclaratif fiscal (Liasse & co(TVA & co.), vous jouez un rôle central entre la stratégie produit, les équipes tech et les utilisateurs finaux. - Votre objectif : créer, délivrer et faire adopter des solutions à la fois utiles, fiables et simples d’usage, dans un contexte métier exigeant. - 🎯 Comprendre et aligner - Approprier la vision produit et la stratégie de l’entreprise, et la décliner à l’échelle de votre feature team. - Comprendre les enjeux business, réglementaires et utilisateurs sur votre périmètre. - Traduire ces enjeux en priorités claires pour l’équipe, et assurer leur bonne compréhension par toutes les parties prenantes. - 🔍 Explorer et décider - Mener une démarche de discovery continue avec les parties prenantes internes (experts métiers, CS, support) et les utilisateurs (clients, prospects). - Identifier les vrais problèmes à résoudre, formuler des hypothèses et proposer des solutions réalistes, utiles et différenciantes. - Évaluer l’environnement concurrentiel et les risques associés à chaque itération produit. - 🛠️ Construire et délivrer - Piloter la priorisation du backlog et garantir la cohérence avec la roadmap produit. - Co-construire les solutions avec les développeurs, designers et experts métiers. - Suivre l’exécution (définition du MVP, phasage, qualité des livraisons) et tenir les engagements côté clients ou internes. - 📢 Lancer et faire adopter - Définir avec les équipes Revenue et Adoption produit la stratégie de release la plus adaptée à chaque lancement. - Monitorer l’usage, l’impact et la satisfaction post-release, et ajuster en conséquence. - 🚀 Faire progresser le produit et l’équipe - Contribuer à l’amélioration continue des pratiques produit dans l’équipe (process, outils, rituels). - Travailler en lien étroit avec l’équipe design pour bâtir une expérience utilisateur simple, fluide et engageante, même sur des sujets techniques ou réglementaires. - Être moteur dans une culture produit forte : orientée valeur, centrée utilisateur et collaborative. Benefits - Un poste stimulant dans une entreprise Tech faisant partie du groupe Visma. - Travailler sur un marché en pleine transformation. - Une équipe multiculturelle. - Des bureaux dans Paris près de la Place de la Concorde. - Mutuelle Helium by Axa. - Full-Remote possible (en France uniquement).

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description Aledade is dedicated to transforming value-based care through innovative technology. Our AI Platform team is at the forefront of this mission, building foundational tools, services, and infrastructure that empower internal product teams to seamlessly integrate cutting-edge AI capabilities into Aledade’s products and develop powerful internal AI solutions. As a Technical Product Manager on the AI Platform team, you will: - Define and deliver the roadmap to drive execution and scale of the AI Platform that supports internal stakeholders and external AI products. - Operate at the intersection of machine learning systems, data engineering, and applied healthcare AI. - Partner closely with AI engineers, data scientists, and clinical leadership to deliver production-grade systems that support reliable inference pipelines across millions of patient records. - Contribute to the improvement of quality and cost of care for over 2 million patients served by Aledade providers. Primary Duties: - Partner with business owners to cultivate a shared vision for the problem space, constraints, priorities, and ideal end state, and be able to articulate and advocate for this perspective. - Lead the full lifecycle of ML and LLM platform workstreams—from data ingestion, training, and deployment to ongoing optimization of live user workflows based on performance metrics and feedback. - Work with internal teams and end users to develop a deep understanding of requirements, perform thoughtful solution design, use data to test hypotheses, and support teams throughout execution. - Write detailed user stories for new features, capturing descriptions of business rationale, requirements, and success criteria defined by measurable outcomes. - Develop short- and long-term roadmaps that deliver maximum value with minimum risk and assume ongoing iteration. - Partner with AI Researchers to mature proofs-of-concept into production-ready capabilities; perform exploration of user feedback, healthcare records, and validation data to validate model performance. Qualifications - 6+ years of product management experience in technology, technology-enabled services, or SaaS. - Strong understanding of artificial intelligence and/or machine learning technologies. - Experience using data and primary research to inform solution design and build business understanding. - Familiarity with Agile teams, Jira, and the software development lifecycle. - Knowledge of APIs, DevOps, enterprise software development, and cloud infrastructure (e.g., Databricks, AWS, GCP, Azure). - Understanding of data engineering principles. - Ability to communicate technical trade-offs to non-technical stakeholders. - Skilled at translating ambiguous product requirements into a technical roadmap. Requirements - Experience leading AI/ML platform products and scaling platforms vertically and horizontally. - Track record of building and launching AI/ML platforms, tools, or internal services. - Deep knowledge of AI/ML product lifecycle, MLOps, and scalable AI infrastructure (training, deployment, monitoring, observability, reliability). - Experience with large language models (LLMs) and generative AI technologies, including prompt engineering strategies and VLMs. - Background as a data scientist or backend engineer. - Fluency in translating technical concepts into value propositions and storytelling for diverse stakeholders. - Clinical Data Literacy: Familiarity with EHR data, Claims, or population health datasets. - Experience in healthcare technology environments, particularly physician-facing products or work with clinical datasets (EHR, Claims, Population Health datasets). Benefits - Flexible work schedules and the ability to work remotely are available for many roles. - Health, dental and vision insurance paid up to 80% for employees, dependents and domestic partners. - Robust time-off plan (21 days of PTO in your first year). - Two paid volunteer days and 11 paid holidays. - 12 weeks paid parental leave for all new parents. - Six weeks paid sabbatical after six years of service. - Educational Assistant Program and Clinical Employee Reimbursement Program. - 401(k) with up to 4% match. - Stock options. - And much more!

• Own Clinically Grounded AI Evaluation Delivery (Core) • Lead evaluation projects from kickoff → rubric → execution → QA → final reporting • Define milestones, timelines, and delivery SLAs • Manage delivery risk in sensitive, high-stakes domains • Ensure outputs are rigorous, clinically appropriate, and customer-ready • Evaluate safety, appropriateness, and response quality—not clinical outcomes • Familiarity with scope, limits, and responsible handling of sensitive content • Design Rubrics & Annotation Protocols • Partner with mpathic behavioral experts to define rating criteria • Build labeling guides for psychological state, intent, appropriateness, and harm risk • Ensure rubrics balance clinical nuance with operational usability • Drive Quality & Calibration Systems • Implement review tiers: peer review → QA → escalation • Run inter-rater reliability and disagreement reduction workflows • Maintain gold sets and drift monitoring over time • Tooling & Workflow Ownership • Translate evaluation needs into requirements for internal tooling: Work queues and labeling interfaces • Audit trails and version control • Taxonomies for stress, crisis, and safety response categories • Reporting automation and reproducibility pipelines • Metrics & Operational Excellence • Own evaluation program dashboards including: Throughput per expert per day, Agreement and defect rates, Cycle time and on-time delivery, Safety actionability metrics (e.g., customer acceptance, mitigation impact) • Customer & Stakeholder Execution Support • Help scope clinically sensitive evaluation engagements • Translate customer priorities into clear execution plans • Present findings with clinical and operational clarity

• Own the product backlog end-to-end, including prioritization, refinement, sprint planning, and release readiness • Drive complete sprint cycles and delivery outcomes, ensuring clarity, predictability, and quality • Translate business and customer requirements into clear, executable user stories and acceptance criteria • Collaborate closely with engineering, design, and QA to unblock execution and ensure smooth releases • Use delivery metrics, feature adoption signals, and customer feedback to continuously improve backlog quality and outcomes • Support customer and internal feedback loops to ensure shipped features deliver real value • Collaborate with cross-functional stakeholders across India, USA, Malaysia, and other regions