Senior Product Manager, AI
New
P
PennylaneFintech software
You can work remotely from anywhere in Europe, as long as your contract allows you to.Full-TimeSenior
Salary not disclosed
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Job Details
- Required Skills
- Product ManagementPrototyping
Requirements
- Proven experience as a Product Manager working on AI-powered products, developer tools, platforms, workflow automation, SaaS or other complex B2B products.
- Experience taking a product or product area from 0 to 1 and turning a vision into a focused roadmap.
- Strong understanding of AI product concepts, including agents, LLM-powered workflows, tools, context, memory, evaluation or guardrails.
- Ability to identify where AI can create genuine user value.
- Comfort prototyping, testing ideas, analysing data and working closely with engineers and designers.
- Strong user research skills and experience building conviction through direct customer conversations.
- Ability to explain complex technical topics simply and create a compelling product narrative.
- Strategic thinking combined with a bias towards action and delivery.
- Ability to work through ambiguity and complex technical, organisational and customer problems.
- Ability to influence without authority and build alignment across Product, Engineering, Design and leadership.
- A strong interest in software, automation and extensible product platforms.
Responsibilities
- Define the vision, strategy and roadmap for Studio Builder.
- Identify customer problems and prioritize valuable use cases.
- Own the end-to-end experience for building, configuring, testing, deploying and improving customer apps, automations and agents.
- Work with the AI platform team to make shared AI capabilities accessible to customers.
- Lead continuous discovery with SMEs, accountants and internal users.
- Explore and validate ideas through prototypes, experiments and MVPs.
- Collaborate with Engineering, Product Design, AI specialists and Product Managers from discovery through implementation and iteration.
- Define product metrics and measure adoption, deployment, customer value, reliability, trust and user satisfaction.
- Communicate product narratives to customers, stakeholders and leadership.
- Influence AI product principles and practices across Pennylane.
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