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Required Product Owner - Part Time Intern
Job Description:
We develop enterprise software that helps organizations protect their business-critical applications and data from outages, cyberattacks, and disasters. Our platform enables customers to recover quickly from ransomware, infrastructure failures, and other disruptive events while minimizing downtime and data loss. Trusted by thousands of organizations worldwide, Zerto helps enterprises and service providers to simplify disaster recovery, cyber resilience, backup, and workload mobility across on-premises, cloud, and hybrid environments
What will your work be like?
As a Product Owner, you will join the product owners group, responsible for delivering customercentric
solutions for thousands of customers worldwide. Working closely with experienced Product
Managers, Engineers, Designers, and business stakeholders, you'll contribute to product discovery,
prioritization, and execution while developing a deep understanding of how enterprise products are
built, delivered, and continuously improved.
In this role, you will:
Own the product lifecycle of one or more Zerto product domains, from discovery through delivery and adoption.
Develop a deep understanding of customer challenges and business needs through direct engagement with customers, Customer Success, Support and Sales.
Collaborate with Engineering, Product, Marketing, Sales, Customer Success, Support, and Executive leadership to deliver customer-centric solutions.
Translate customer problems into valuable product solutions.
Manage and continuously refine the product backlog, balancing customer value, technical complexity, business priorities, and engineering capacity.
Prioritize features and enhancements while considering customer impact, technical dependencies, delivery timelines, and strategic objectives.
Partner closely with Engineering throughout the development lifecycle to clarify requirements, resolve trade-offs, and ensure successful delivery.
Use data, product analytics, customer feedback, experimentation, and AI-powered insights to support product decisions and measure success.
Leverage modern AI tools to accelerate product discovery, documentation, competitive research, customer feedback analysis, and day-to-day product execution.
Identify opportunities to improve both our products and the way Product teams operate.
Present product initiatives, roadmaps, and outcomes.
Define, track and continuously improve product KPIs, adoption, and customer satisfaction metrics.

We are seeking an experienced and visionary Software Architect with proven, hands-on experience in Generative AI (GenAI) to join our team.

In this key role, you will be responsible for designing high-level software structures, integrating AI-driven capabilities, making critical technical decisions, and ensuring the architectural integrity and innovation of our software solutions.

What you will actually do:

Own the technical arc of an engagement
Run discovery with business and technical stakeholders and convert vague ambition ("we want AI in our support flow") into a scoped, measurable, buildable system - or into a defensible recommendation not to build it.
Say no to use cases that AI will not serve well. Deciding what not to build is a first-class deliverable here, and you will occasionally have to say it to the person signing the contract.
Partner with sales on technical pre-sales: solution shaping, effort and cost estimation, architecture defense in front of a customer's CTO or security board.

Design AI systems that survive contact with production
Architect agentic systems end to end: task decomposition, tool and function calling, orchestration and hand-off patterns, state and memory, human-in-the-loop checkpoints, failure containment and recovery.
Engineer context, not just prompts - retrieval strategy, chunking and indexing decisions, hybrid and graph retrieval, re-ranking, caching, context window budgeting, and the data pipelines that keep all of it fresh.
Make and defend the model-portfolio call: frontier vs. small vs. open-weight, hosted vs. self-hosted, when fine-tuning or distillation actually beats better retrieval, and how to stay swappable as the frontier moves every quarter.
Design for interoperability using emerging agent standards (MCP, A2A and successors) rather than locking a customer into one vendor's orchestration layer.