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Ethyca

Senior Product Manager

DublinOnsite · Ireland
Senior · FullTime · Product
POSTED 10 MAY 2025
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Role
551 days opentrue age
Posted 10 May 2025
Pay
€79k–€93kno pay posted
Market p25–p75
€79k–€93k
Dublin · n=3 · 365d to 10 Nov
CompanyEthyca →
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LLMs

A World-Changing Company

Ethyca is redefining trust in the age of AI. We build automated data privacy infrastructure that embeds governance directly into data, ensuring policy, consent, and control live wherever data moves. Our clients include The New York Times and the world's most advanced organizations scaling AI responsibly. We're on a mission to make trust, respect, and privacy a default feature of every tech stack.

The Role

As a Product Manager at Ethyca, you will own the product strategy and execution for key features within Fides, our open source privacy operating system. You'll be responsible for deeply understanding customer needs, defining the product vision, and working cross-functionally with Engineering, Design, and Customer Success to ship products that solve real problems for enterprises managing AI governance and data privacy at scale.

Responsibilities

1. Product Strategy & Vision

Develop and execute a quarterly product roadmap that aligns with company objectives and customer needs, delivering 90%+ on-time completion

Define and prioritize features based on customer impact, business value, technical feasibility, and strategic alignment with company goals

Conduct market research and competitive analysis to identify opportunities and ensure we're building differentiated products

Clearly articulate the problems being solved and how they connect to business outcomes and customer success

2. Requirements & Execution

Gather and document comprehensive product requirements by deeply understanding customer pain points, use cases, and workflows

Transform customer needs into clear, actionable user stories with well-defined acceptance criteria that minimize engineering revision requests

Implement data-driven prioritization systems that improve development efficiency and ensure the team builds the highest-impact features

Champion an MVP approach with rapid iteration based on user feedback and data insights

3. Cross-Functional Collaboration

Partner closely with Engineering to ensure technical feasibility, participate in architectural discussions, and make informed trade-off decisions

Collaborate with Design to create intuitive user experiences that meet both user needs and technical constraints

Communicate product vision, priorities, and updates clearly to all stakeholders including Sales, Customer Success, and executive leadership

Align diverse stakeholders around product decisions through transparent communication and data-backed rationale

4. Agile Product Management

Maintain a well-organized, prioritized product backlog with clear user stories and acceptance criteria

Lead sprint planning sessions and work with Engineering to define achievable sprint goals

Actively participate in agile ceremonies including standups, retrospectives, and demos

Drive iterative development through continuous feedback loops and regular product releases

5. Data-Driven Decision Making

Define and track 3-5 key product metrics that demonstrate measurable product impact and user value

Leverage product analytics, user feedback, and market data to inform feature prioritization and product decisions

Design and analyze experiments (A/B tests) to validate hypotheses and optimize features

Synthesize qualitative user feedback with quantitative data to drive product improvements

Requirements

1. Product Management Experience

5+ years of product management experience shipping B2B or enterprise SaaS products with proven track record of successful product launches

Strong understanding of agile methodologies and experience working within agile frameworks to deliver incremental value

Experience managing complex product roadmaps with multiple stakeholders and competing priorities

Demonstrated ability to drive products from concept through launch and iteration based on customer feedback

2. AI/LLM Product Experience

Hands-on experience building products that leverage AI, machine learning, or large language models in production environments

Understanding of AI capabilities, limitations, and best practices for integrating LLMs into product experiences

Source · EthycaFirst seen 4 NovOriginal ↗