Senior Product Manager

Ethyca; Dublin; On-site; EUR 80,000 - 100,000; Full time

Benefits offered by this job

Remote and in-office work options

Inclusive workplace culture

Diversity and equity commitment

Job summary

A leading technology firm in Dublin seeks a Product Manager to drive product strategy and execution for its AI governance system. The ideal candidate will have extensive experience in product management, particularly in the B2B space, focusing on data privacy. Responsibilities include defining product vision, executing roadmaps, conducting market analysis, and collaborating with engineering and design teams. This role requires a strong understanding of agile methodologies and the ability to translate complex customer needs into actionable plans.

Qualifications

• 5+ years of experience shipping B2B or enterprise SaaS products.
• Hands-on experience with AI, machine learning, or LLM integration.
• Strong communication skills to articulate complex concepts clearly.

Responsibilities

• Own product strategy and execution for features within Fides.
• Develop quarterly product roadmap aligning with company objectives.
• Lead Agile ceremonies and maintain a prioritized product backlog.

Skills

Product management experience

Agile methodologies

AI and machine learning knowledge

Stakeholder management

Customer-centric mindset

Job description

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

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

Knowledge of AI governance, responsible AI practices, and the technical considerations for deploying AI at enterprise scale

Ability to identify opportunities where AI can meaningfully improve product value and user experience

3. Technical Acumen

Sufficient technical understanding to have productive conversations with engineers about architecture, implementation approaches, and technical trade-offs

Ability to understand complex technical concepts related to data privacy, APIs, integrations, and distributed systems

Experience creating technical specifications that bridge business requirements and engineering implementation

Comfortable participating in technical discussions and making informed decisions about technical approaches

4. Customer-Centric Mindset

Deep commitment to understanding customer problems through research, interviews, feedback analysis, and data

Proven ability to translate customer needs into product requirements that solve real problems

Experience working with enterprise customers and understanding their complex requirements around security, compliance, and scalability

Track record of increasing user adoption and engagement through improved product experiences

Exceptional written and verbal communication skills with ability to articulate complex concepts clearly to diverse audiences

Strong stakeholder management skills with ability to build consensus and navigate conflicting priorities

Experience working in distributed or remote teams with async communication as default

Collaborative working style with demonstrated ability to partner effectively with Engineering, Design, Sales, and Customer Success

Differentiators

Privacy/Security Domain Expertise

Experience with privacy regulations (GDPR, CCPA) and understanding of privacy engineering challenges

Background in data governance, consent management, or identity and access management products

Understanding of enterprise security and compliance requirements (SOC 2, ISO 27001, etc.)

Experience selling to or building products for Fortune 500 customers with complex procurement and implementation processes

Understanding of enterprise sales cycles, proof-of-concepts, and customer success requirements

Track record of driving product-led growth or expansion within enterprise accounts

3. Technical Background

Engineering or computer science background with hands-on coding experience

Experience as a technical product manager or solutions architect

Ability to read code and contribute to technical discussions at a detailed level

4. Startup Experience

Thrived in high-growth startup environments (Series A-C) where you wore multiple hats

Experience building products from 0-to-1 with limited resources and high ambiguity

Comfortable with rapid iteration, changing priorities, and moving fast with incomplete information

5. Data & Analytics Expertise

Advanced proficiency with product analytics tools (Mixpanel, Amplitude, etc.)

Experience designing and running experiments to validate product hypotheses

Strong quantitative skills with ability to analyze data and derive actionable insights

Background in data science, analytics, or business intelligence

Life at Ethyca

We want every Ethycan to achieve their best outcomes, that’s why we celebrate individuals’ strengths, skills, and interests, from your first interview to your longterm growth, rather than rely on traditional career ladders. Ethyca is a distributed team with headquarters in NYC and remote workers across the US. In keeping with Ethyca's values and culture, we believe employees “share the work” as one team, and in-person work affords the opportunity for more creative outcomes. Therefore we encourage Product Managers to work from our offices to foster excellence in innovation and outcomes for our clients. Preference will be given to candidates who are able to come into the office, located in midtown Manhattan, at least 2 days a week.

We’re a Data Privacy and AI Governance company building a missing piece of the Internet’s infrastructure: the operating system for governance that empowers users and businesses to manage data respectfully. Every day, Ethycans tackle one of the world's most challenging problems - how to make data and AI driven technology safer for humanity - and thinking about the future of human rights as society increasingly moves online. If this sounds intriguing and you’re excited to shape that future with us, we’d want to speak with you.

Ethyca is committed to promoting a culture of diversity, equity, and inclusion and is proud to be an Equal Employment Opportunity and Affirmative Action employer. We believe that all Ethycans share the responsibility of upholding our commitment to these values and encourage candidates from a wide range of backgrounds, perspectives, and lived experiences to join us in solving the world’s hardest problems. Ethyca does not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. Please see the United States Department of Labor’s EEO poster, EEO poster supplement and Pay Transparency Notice for additional information.