Product Manager, Data Platform

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The Product Manager, Data Platform will help define and execute the roadmap for the data elements and AI framework that power aPriori’s products — including the APIs that expose manufacturing insight, the dashboards that make it visible, and the user-facing AI tools that help customers make faster, better decisions.

This role requires a mix of curiosity, technical interest, and customer empathy. You’ll help ensure that the data and AI capabilities behind our products are accurate, well-governed, and genuinely useful — supporting the internal product teams and enterprise customers who depend on them.

This is a cross-functional role for someone who can bridge technical depth and business context — someone who understands data infrastructure trade-offs, speaks fluently with data engineers and ML practitioners, and translates those capabilities into clear priorities and measurable outcomes.

Location: Belfast, UK (Hybrid)

Responsibilities

• Own the product roadmap for aPriori's data management strategy, including data services, performance, cost, and data availability requirements.
• Partner with data engineering to ensure the platform is reliable, scalable, and optimized to serve both real-time analytical workloads and AI/ML feature pipelines.
• Define data quality standards, SLAs, and observability requirements; champion a culture of trustworthy data across source and consumer data products.
• Drive the vision and roadmap for aPriori's analytics layer, ensuring dashboards and supporting data products can be built repeatably and with ease.
• Oversee the analytics data model as a governed, reusable semantic layer — balancing self-service flexibility with data integrity.
• Stay current on analytic platform capabilities, including AI-assisted analytics features, and evaluate how they can extend aPriori's analytics experience.

aPriori’s AI Framework

• Own the product roadmap for the core services and frameworks supporting AI powered apps and agents within the aPriori platform.
• Collaborate with engineering and data science to build and iterate on prompt pipelines, context engineering strategies, and model evaluation frameworks that measure real-world AI performance, not just benchmark scores.
• Define guardrails, responsible AI requirements, and human-in-the-loop checkpoints that ensure AI outputs are safe, auditable, and trustworthy before reaching customers.

Agentic Workflows

• Define requirements for the orchestration layer that inform how agents are structured, how they hand off between steps, how failures are handled, and how the system scales.
• Define requirements for evaluations that measure agentic workflow reliability, task completion quality, and cost efficiency — establishing quality gates before production deployment.
• Work with stakeholders to support the highest-value agentic use cases: workflow automation, intelligent data summarization, proactive manufacturing cost insights, and beyond.

Requirements

• Strong SQL skills — you can query data, validate a pipeline result, and speak credibly about data structure with engineers.
• Ability to synthesize technical constraints and business needs into a coherent, prioritized roadmap.
• Clear written and verbal communication: you can explain a RAG pipeline trade-off to an exec and a nuanced business requirement to an engineer.
• Comfort with ambiguity and a bias toward shipping and learning.

Education and Experience

• Bachelor’s degree in Computer Science, Engineering, Data/Information Science, Business, or equivalent practical experience.
• 3+ years of product management experience, with at least 1–2 years owning data platform, analytics, or developer-facing infrastructure products.
• Demonstrated experience working with cloud data warehouse technologies (Redshift, Snowflake, BigQuery, or equivalent)
• Hands-on familiarity with a BI or analytics platform (LookML, Tableau, Power BI, or equivalent)
• Working knowledge of how LLMs operate, including context windows, tokenization, temperature, and why hallucinations happen
• Familiarity with RAG architecture such as what a vector database does, how chunking and retrieval strategies affect answer quality, etc.
• Understanding of agentic AI patterns — single-agent and multi-agent orchestration, tool use, memory, and guardrails — and the product challenges unique to systems that act autonomously across multiple steps.
• Experience defining or contributing to AI evaluation frameworks
• Experience with building and exploring AI domain concepts, AWS Bedrock, agentic frameworks, and background in manufacturing, cost engineering, PLM, or industrial software a plus

A team environment where your experience is valued, your voice is heard, and the work that you do makes an impact for our customers and employees.

aPriori offers competitive compensation and unique benefits including pension match, private medical & dental, flexible time off, aPriori days, and more in a dynamic, growing, innovative environment!

About aPriori

Founded in 2003, aPriori is disrupting the industry’s status quo with groundbreaking work helping manufacturers digitally transform their businesses. Through our unique, patented, intellectual property, we enable manufacturers to accelerate product design, and bring products to markets faster while providing visibility to the sustainability of their design and manufacturing choices. Our impact is profound - our customers save millions of dollars each year, accelerate time to market, all while creating a better world for future generations. Though we are an established software firm, through our continued growth, we have maintained the dynamic, collaborative nature of a start-up.

With a global presence, including North America, Europe, Asia, and India, we encourage an inclusive work environment and support employees’ growth through education, training, wellness, and other programs. As our greatest asset, employees’ contributions are acknowledged through monthly company-wide meetings, often with promotions and awards. We promote a positive work culture, employee-friendly policies, flexible work schedules, pub nights, and an additional day off each quarter known as “aPriori Day”.

Interested in joining our team? We continue to build an organization highly talented, self-motivated individuals. Our unique environment empowers employees to bring their best selves each day, asking, “How can I do better?” and then exceeding expectations. We work together towards a common goal. We nurture and celebrate each other’s successes. Employees embrace opportunities to build new skills as well as step into leadership positions where they are supported and mentored by the Senior Leadership team to grow into impactful individual contributor roles or to effectively manage teams. Innovation, adaptability, and a desire to increase your value are essential. If you possess these qualities, we want to hear from you!

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