AI Productivity Engineer at Aircall responsible for building AI - powered developer tools improving engineering productivity. Join a diverse and ambitious team redefining customer communications.
About the role
- Director at EY-Parthenon focusing on building neuro-symbolic AI products. Leading cross-functional teams in AI product lifecycle and strategy development with a diverse, global workforce.
Responsibilities
- Lead the build and scaling of neuro-symbolic AI products
- Drive the full lifecycle of AI product development: problem framing, requirements, architecture, build, deployment, and scale.
- Translate complex business challenges into knowledge-driven AI product requirements, including reasoning engines, knowledge graphs, rules, and machine learning components.
- Ensure products and platforms adhere to enterprise standards for explainability, auditability, trust, and compliance.
- Define product strategy, roadmap, and commercial outcomes
- Develop a clear product vision and roadmap aligned to customer needs, economic impact, and technical feasibility.
- Define adoption, usage, and cost/value metrics that demonstrate measurable business outcomes.
- Shape pricing, packaging, and commercialization pathways for AI platforms and solutions.
- Architect enterprise-ready platforms using neuro-symbolic AI
- Guide the design of platform components including ontologies, semantic data layers, inference engines, ML integration, APIs, workflow orchestration, and user interfaces.
- Ensure platform scalability, modularity, and extensibility across multiple use cases.
- Lead decisions on architecture, tooling, integration patterns, and data pipelines.
- Direct cross-functional product and technical teams
- Lead teams across product management, engineering, knowledge engineering, design, data science/ML, and industry specialists.
- Establish OKRs, sprint structures, and delivery governance to ensure predictable, high-quality execution.
- Coach teams to operate with clarity, pace, and technical rigor.
- Partner with senior executives and enterprise stakeholders.
- Serve as a trusted advisor to client executives and internal leaders on AI strategy, product direction, and deployment models.
- Align product build with enterprise architecture, security, data governance, and compliance requirements.
- Support investment decisions with clear business cases, milestones, and measurable value.
- Ensure Responsible AI and regulatory compliance
- Embed Responsible AI principles—including transparency, fairness, bias mitigation, and auditability—into product design.
- Partner with risk, legal, compliance, and cybersecurity to ensure the product meets all regulatory and policy requirements.
- Lead teams in documenting reasoning processes, knowledge sources, and decision pathways.
Requirements
- A bachelor’s degree in Business, Statistics, Economics, Mathematics, Engineering, Computer Science, Analytics, or other related field and 5 years of related work experience; or a graduate degree and approximately 3 years of related work experience.
- 7+ years in product leadership, solution delivery, enterprise technology, or platform build roles.
- Proven experience building and launching enterprise-grade products.
- Strong understanding of:
- o Knowledge graphs and ontologies
- o Symbolic reasoning / rules engines
- o Machine learning integration patterns
- o Data modeling, lineage, and governance
- Demonstrated ability to lead cross-functional teams in ambiguous, complex environments.
- Executive communication skills with the ability to influence senior stakeholders.
- Experience defining product strategy, roadmaps, and success metrics.
- The ability and willingness to travel and work in excess of standard hours when necessary.
- You must either reside in or be in a commutable distance to your office location for this position.
Benefits
- medical and dental coverage
- pension and 401(k) plans
- wide range of paid time off options
- flexible vacation policy
- designated EY Paid Holidays
- Winter/Summer breaks
- Personal/Family Care
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