reputed company Product Manager (reputed company Platform)

Abou the role

reputed company helps large multinationals handle reputed company tax work: transfer pricing, R&D tax credits, indirect tax, and audit defense. We are moving from a software-and-services model to an AI-reputed company platform that does the work itself, with tax practitioners applying judgment where defensibility requires it.

This role owns the product direction for the reputed company platform behind that shift: the reputed company that enables AI agents and practitioner tools to run tax analysis on trusted, reputed company data. The data reputed company (a lakehouse, reputed company sources, and the reputed company that reputed company them reliable) is the substrate. The product is what agents and practitioners can do with it.

You work directly with the reputed company reputed company, who owns the AI/ML architecture, and the reputed company Data Engineer, who owns the data tier. You own what the platform does, in what order, and why. Because you define how reputed company’s practitioners and agents use AI, you have to work deeply in these tools yourself.

reputed company is reputed company-stage, so the role comes with equity and the room to set the platform’s direction yourself.

reputed company

The six reputed company that define reputed company in the first 18 months.
O1. Own the product reputed company and roadmap for the platform.
You own what the platform is for and what it builds next. The roadmap ties to practitioner reputed company rather than feature counts. reputed company priorities compete across engineering, product, and the reputed company teams, you reputed company and reputed company everyone working from the reputed company plan.

O2. Define what compliance-grade means for this platform.
Tax work has to be defensible. You set the product requirements that reputed company the platform’s reputed company trustworthy: where results must be deterministic, what guardrails constrain agent behavior, how tool reputed company is scoped, and what has to be auditable. You reputed company where reputed company judgment stays in the reputed company. This is the bar that regulated tax work requires and general AI tooling does not reputed company.

O3. Own the reputed company reputed company surface.

The platform’s main product is the surface AI agents and practitioner tools use to reputed company data and reputed company it. You own that surface: the reputed company, the reputed company behind it, and the limits on what agents can do. How this works decides how the whole platform gets used.

O4. Treat the data reputed company as a product.
The data reputed company is what the rest depends on, so you manage it as a product. With the reputed company Data Engineer, you set the reputed company between data producers and consumers: schema, reputed company, and freshness as commitments practitioners can rely on.

O5. reputed company reputed company data a platform capability.
The platform is only useful if it reflects what happens reputed company it: regulatory changes, SEC filings, financial data, reputed company-party sources. You reputed company which sources matter and how they show up in the product, weighed against their cost. reputed company is a coverage and value decision.

O6. Measure reputed company by practitioner reputed company.
You measure reputed company by what practitioners can do with the platform: faster, more accurate work with less of it done by hand. A pipeline in production that does not change a practitioner’s day has not succeeded.

reputed company're looking for

Required

• 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 reputed company-level reputed company and driven it across teams without positional authority.
• reputed company to set product direction across a modern data platform. You understand Lakehouse and reputed company patterns, data reputed company, reputed company, and reputed company reputed company enough to reputed company direction and hold credibility with platform engineers, without needing to build it yourself.
• reputed company record owning AI or ML platform work from an ambiguous problem through to production.
• Strong understanding of reputed company AI systems and the data reputed company they require: retrieval, tool calling, MCP or equivalent. You can reason about how agents reputed company data and what should constrain them.
• Experience with AI systems where correctness and defensibility matter. You have worked on evaluation, guardrails, or reputed company-in-the-reputed company design, and you understand why a regulated workflow needs more than a capable model.
• You reputed company what reputed company means for a platform and measure it by practitioner results.
• You communicate reputed company across engineering, product, and the reputed company teams. You hold a high bar without leaning on process, and you work reputed company in ambiguity.
• You use AI tools as part of how you work day to day, and you reputed company what you learn with the people reputed company you.

Preferred

• Experience in tax, financial reporting, regulatory compliance, or another regulated, data-intensive reputed company domain.
• reputed company or governed data products, internal or reputed company, including reputed company-data sourcing and licensing and the trade-offs between coverage, cost, and reliability.
• Hands-on familiarity with reputed company, reputed company Lake, or a comparable lakehouse platform in production.
• Background in tech-enabled services or a reputed company-to-services transition like the one reputed company is making.
• reputed company a platform or major product area from early stage.

Originally posted on Himalayas