Senior Product Manager

🕒 il y a 8 jours

🇺🇸 États-Unis – Télétravail

💵 $124 000 - $156 000 / an

⏰ Temps Plein

🟠 Senior

✅ Responsable Produit

🦅 Parrain de Visa H1B

Cette entreprise a parrainé des visas H1B par le passé.

👻 Score fantôme 0%

Ce que ça veut dire : la probabilité que cette offre reste ouverte sans recrutement actif.Comment le lire : 60 % ou plus, on pense que c'est une offre fantôme. Un score plus bas est moins inquiétant.Comment on la calcule : ancienneté, republications, postes ouverts vs taille de l'équipe, rapidité de clôture, et si le salaire est indiqué.À noter : une estimation à partir de données publiques, pas un jugement sur l'entreprise. De vraies offres peuvent avoir un score élevé, alors prenez-le comme un indice, pas comme un fait.

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insightsoftware

Site WebLinkedInTous les Emplois

1001 - 5000 employés

☁️ SaaS

💸 Finance

🏢 Entreprise

💰 €798 604 678 Private Equity Round - insightsoftware en 2021-07

SaaS • Finance • Enterprise

insightsoftware est un fournisseur de logiciels de reporting financier et opérationnel et de solutions d'analytique de données pour le bureau du directeur financier (CFO). Sa plateforme compatible avec le cloud et ses connecteurs préconstruits s'intègrent aux principaux ERP (Oracle, SAP, Microsoft et plus de 140 autres) pour offrir des outils de reporting financier, de budgétisation/planification, de consolidation, de gestion du cycle de vie des taxes et des baux, d'analytique intégrée et d'automatisation. L'entreprise sert les équipes de finance, de comptabilité et d'opérations avec des fonctionnalités activées par l'IA, la virtualisation des données et des modèles clés en main pour accélérer le reporting, la planification et la conformité.

Description

• Define and maintain the AI Services strategy, roadmap, and quarterly priorities for agentic workflows, the tool and connector layer, and AI quality infrastructure • Make trade-off decisions on sequencing, scope, and technical direction, supported by evidence • Specify multi-step agent behavior, including planning, tool selection, memory, human-in-the-loop checkpoints, fallback paths, and guardrails • Translate ambiguous business problems into reliable agent designs for finance users • Own the Model Context Protocol surface and tool-interface roadmap • Decide which company data, actions, and product capabilities are exposed to agents and third-party assistants • Define contracts, versioning, and access controls for tool and connector interfaces • Build and own evaluation frameworks using golden datasets, offline and online evaluations, regression harnesses, accuracy and hallucination measurement, and production observability • Set AI quality bars that gate releases • Support portfolio product managers and engineering teams through intake, integration documentation, reference implementations, adoption guidance, and adoption measurement • Partner with the chief architect and engineering manager on design reviews, technical trade-offs, model and vendor selection, cost, and latency management • Participate in sprint planning and refinement and unblock product decisions • Define metrics including product-line adoption, agent task success rates, evaluation scores, cost per task, latency, and incident rates • Report outcomes and recommendations to senior leadership • Work with security, legal, and compliance on data handling, model governance, auditability, and customer trust concerns

🎯 Exigences

• 8 or more years in product management • At least two years owning AI products as a hands-on individual contributor • Demonstrated experience shipping large language model applications to production • Working technical fluency in agentic architectures, including orchestration and planning patterns, tool and function calling, retrieval-augmented generation, context management, and prompt engineering • Hands-on experience with the Model Context Protocol or comparable tool and plugin interfaces for connecting agents to enterprise systems • Practical experience building or operating evaluation frameworks for AI systems, including dataset construction, metric selection, and result interpretation • Experience delivering a shared platform or API-based service where other product teams are the primary consumers • Ability to read code, reason about system design, and participate in architecture discussions with senior engineers • Strong command of Agile delivery • Ability to influence cross-functional teams and senior stakeholders without formal authority • Excellent written communication • Bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience • Preferred: experience taking AI capabilities to market in a B2B enterprise SaaS environment • Preferred: background in enterprise finance, accounting, ERP, or business intelligence domains • Preferred: experience managing inference cost, latency, and model routing across multiple providers at scale • Preferred: familiarity with AI security, data residency, and regulatory considerations • Preferred: prior experience as the first product hire on a team • Preferred: contributions to open source AI tooling, published evaluation work, or an active public presence in the agentic AI community

🏖️ Avantages

• Additional bonus eligibility may apply • Equal employment opportunity workplace • Confidential handling of applicant information • Background checks required for employment, where permitted by country, state/province