Principal Product Manager – Agentic Platform

🕒 June 22

🇺🇸 United States – Remote

⏰ Full Time

🔴 Lead

✅ Product Manager

👻 Ghost score 17%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Exactera

WebsiteLinkedInAll Job Openings

51 - 200 employees

💸 Finance

🏢 Enterprise

🤖 Artificial Intelligence

Finance • Enterprise • Artificial Intelligence

Exactera is a company that leverages AI-driven technology to provide tax compliance solutions for businesses. Their services emphasize improving efficiency, accuracy, and visibility in tax operations, specializing in transfer pricing, R&D tax credits, and tax provisions. Exactera's solutions offer localized compliance across various jurisdictions, promoting detailed and consistent documentation for their clients. The company is known for integrating sophisticated technology with industry expertise to turn tax data into business intelligence, reducing risks and enhancing strategic business values.

📋 Description

• 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.

🎯 Requirements

• 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.

🏖️ Benefits

• 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.