Principal Product Manager – Agentic Platform

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Exactera

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51 - 200 Mitarbeiter

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🏢 Unternehmen

🤖 Künstliche Intelligenz

Finance • Enterprise • Artificial Intelligence

Exactera ist ein Unternehmen, das KI-gesteuerte Technologie nutzt, um Lösungen für die Steuerkonformität von Unternehmen bereitzustellen. Ihre Dienstleistungen konzentrieren sich auf die Verbesserung der Effizienz, Genauigkeit und Transparenz in Steuerprozessen, wobei sie sich auf Verrechnungspreise, F&E-Steuergutschriften und Steuerprovisionen spezialisieren. Die Lösungen von Exactera bieten lokal angepasste Konformität in verschiedenen Rechtsordnungen und fördern eine detaillierte und konsistente Dokumentation für ihre Kunden. Das Unternehmen ist bekannt dafür, anspruchsvolle Technologie mit Branchenexpertise zu integrieren, um Steuerdaten in Business Intelligence zu verwandeln, Risiken zu reduzieren und strategische Geschäftswerte zu steigern.

Beschreibung

• Own the product strategy and roadmap for the platform. • Define what compliance-grade means for this platform. • Own the agentic access surface. • Treat the data foundation as a product. • Make external data a platform capability. • Measure success by practitioner outcomes.

🎯 Anforderungen

• 10+ years in product management, with significant time on technical platform, data, or ML products. You have owned a platform or major product area at Principal-level scope and driven it across teams without positional authority. • Able to set product direction across a modern data platform. You understand Lakehouse and medallion patterns, data contracts, quality, and lineage well enough to decide direction and hold credibility with platform engineers, without needing to build it yourself. • Track record owning AI or ML platform work from an ambiguous problem through to production. • Strong understanding of agentic AI systems and the data access they require: retrieval, tool calling, MCP or equivalent. You can reason about how agents reach data and what should constrain them. • Experience with AI systems where correctness and defensibility matter. You have worked on evaluation, guardrails, or human-in-the-loop design, and you understand why a regulated workflow needs more than a capable model. • You decide what success means for a platform and measure it by practitioner results. • You communicate clearly across engineering, product, and the practice teams. You hold a high bar without leaning on process, and you work well in ambiguity. • You use AI tools as part of how you work day to day, and you share what you learn with the people around you. • Experience in tax, financial reporting, regulatory compliance, or another regulated, data-intensive professional services domain. • Built or governed data products, internal or external, including external-data sourcing and licensing and the trade-offs between coverage, cost, and reliability. • Hands-on familiarity with Databricks, Delta Lake, or a comparable lakehouse platform in production. • Background in tech-enabled services or a SaaS-to-services transition like the one Exactera is making. • Built a platform or major product area from early stage.

🏖️ Vorteile

• A collaborative team culture with opportunities for career development. • Ample opportunities to be recognized, build valuable skills, and grow your career. • Generous vacation policy, including paid parental leave. • Comprehensive health plans with FSA and HSA options. • 401(k) retirement plan. • Life and disability insurance coverage. • Supplemental benefits like a dependent care savings plan, pet insurance, will preparation, and an employee assistance program.