Job Description

At Teamsystem Spain we are looking for a Product Manager (AI) to lead the evolution of our products with artificial intelligence capabilities, aimed at accounting firms, micro-businesses and SMEs. This is a role with a direct impact on how our customers work every day, and one in which AI is a key lever for connecting products and data.

What you will do

• Define the product strategy together with the GPM, identifying where AI delivers measurable value: productivity, automation, decision support and accuracy.
• Analyse AI opportunities, customer needs and the competitive landscape, including generative and agent-based solutions for accounting, tax, payroll and SME management.
• Prioritise use cases by business value, technical feasibility, data availability and risk, for each type of customer.
• Define success metrics (accuracy, error or hallucination rate, time saved, adoption, cost per interaction) and establish evaluation frameworks with engineering and data science.
• Work with technical teams across the entire lifecycle: data requirements, build-or-buy decisions, prompt and RAG design, evaluation, monitoring and iteration.
• Ensure a responsible approach: data protection and GDPR, security, transparency towards the user, human oversight where needed, and alignment with the European AI Act and internal AI governance.
• Coordinate design, engineering, data and product teams to deliver the roadmap, both in the short and medium term.
• Drive synergies between products such as TS Facturas, SDS, Aplifisa and Asesor Excelente, and work with marketing, sales and support to ensure successful launches.
• Maintain a close relationship with customers and partners, validating AI results with real users.

What we are looking for

• More than 5 years of experience in product management in software companies, with a clear focus on business results. We especially value 2 or more years working with AI/ML features in production.
• Solid knowledge of AI: LLMs, prompt engineering, RAG, embeddings, evaluation methods and trade-offs between accuracy, cost, latency and risk. You don’t need to code, but you should be able to speak as an equal with engineers.
• Familiarity with the technical stack of AI products: model APIs and cost management, vector databases, evaluation and observability frameworks, guardrails and security, and integrations with ERP and accounting systems.
• Experience in the ERP sector, with exposure to accounting, tax and payroll. Having applied AI to these processes would be a great plus.
• Knowledge of regulation: AI Act risk classification, DPIAs, Spanish electronic invoicing (Verifactu), and standards such as ISO 27001 or ISO 42001.
• Ability to analyse data, define KPIs and work with agile methodologies.
• Excellent communication, negotiation and influencing skills in multidisciplinary environments.
• Curiosity, a critical view of AI hype, and judgement to know when AI is the right answer and when it is not.
• Native Spanish essential and advanced professional English. Other languages, such as Italian, are a plus.