We are looking for a strategic, customer-obsessed, and data-driven Product Manager to define and build an intelligent recommendation product that helps our internal sales teams identify which products, solutions, and offers are most relevant for each customer .

Why is a particular product being recommended?

The Product Manager will own the product vision, strategy, roadmap, business case, and execution for this capability, working at the intersection of AI/ML, data, CRM, sales enablement, enterprise software, and commercial strategy .

This role requires a unique combination of product management, structured problem solving, commercial acumen, analytical thinking, and the ability to influence senior stakeholders across a complex organization.

Build and maintain a multi-year product roadmap balancing customer value, seller productivity, commercial impact, technical feasibility, and company strategy.

Define how the product fits within the broader sales, CRM, customer intelligence, and AI ecosystem.

Evaluate strategic opportunities and trade-offs using structured business cases, quantitative analysis, customer insights, and competitive benchmarks.

Reduce seller effort by integrating recommendations directly into CRM, account planning, opportunity management, and seller productivity tools.

AI, Data & Recommendation Systems

Partner closely with data science, machine learning, engineering, and analytics teams to define the recommendation architecture and product requirements.

Identify and prioritize the customer and commercial signals required to generate high-quality recommendations.

Determine how signals such as product usage, installed base, purchase history, customer profile, industry, intent, engagement, support activity, contract information, account potential, and seller activity should influence recommendations.

Define how seller actions and customer outcomes can continuously improve recommendation quality.

Ensure responsible use of AI, including appropriate transparency, explainability, governance, and data quality controls.

Partner closely with engineering, design, data science, analytics, and architecture teams throughout discovery, development, launch, and iteration.

Make prioritization decisions based on customer impact, seller value, commercial opportunity, technical complexity, model performance, and investment requirements.

Lead pilots, experiments, A/B tests, and controlled launches to validate hypotheses and improve the product.

Use quantitative and qualitative data to identify issues, uncover opportunities, and drive continuous product improvement.

Manage dependencies across CRM systems, customer data platforms, product catalogues, identity systems, analytics platforms, sales tools, and downstream business processes.

Commercial Strategy & Business Impact

Partner with Sales, Finance, Strategy, and business-unit leaders to understand portfolio priorities and commercial opportunities.

Establish measurable links between recommendation quality, seller behavior,



customer outcomes, pipeline creation, and revenue.

Translate complex commercial problems into scalable product capabilities rather than one-off processes or manual interventions.

Work closely with Sales, Sales Operations, Engineering, Data Science, UX, Product Marketing, Finance, Customer Success, Strategy, and product business units.

Influence senior leaders through data, structured problem solving, clear recommendations, and compelling product narratives.

Build strong relationships across global and matrixed organizations to accelerate execution and adoption.

Success in this role will be measured through a combination of seller adoption, recommendation quality, customer outcomes, operational efficiency, and commercial impact .

Recommendation precision, relevance, and quality

Increase in qualified opportunities identified

Model and recommendation performance over time

5+ years of experience in Product Management, Management Consulting, Corporate Strategy, Product Strategy, or a related role , preferably within technology, enterprise software, SaaS, AI/ML, data products, CRM, sales technology, or digital platforms.

- Bachelor's degree in Business, Engineering, Computer Science, Economics, Finance, Mathematics, or a related discipline, or equivalent practical experience.
- Strong commercial and strategic acumen, with the ability to evaluate customer needs, business opportunities, investment priorities, and trade-offs.
- Experience developing business cases, defining KPIs, analyzing financial or operational performance, and using quantitative analysis to support decisions.
- Experience working closely with engineering, data science, analytics, UX, and business teams.
- Strong understanding of data-driven product development, experimentation, and performance measurement.
- Demonstrated ability to influence senior stakeholders and drive alignment across large, cross-functional organizations.
- MBA or other relevant advanced degree from a leading business, engineering, technology, economics, or quantitative program.

Experience in management consulting, corporate strategy, investment banking, or a strategic role within a leading technology company .

Experience at a top-tier management consulting firm or in an internal strategy organization, particularly working on growth, digital transformation, sales effectiveness, customer strategy, or technology-related engagements.

Experience combining product management and strategy or consulting , with the ability to move from strategic problem definition into product execution.

Experience developing go-to-market, portfolio,



segmentation, growth, cross-sell, upsell, or sales productivity strategies.

Experience building next-best-action, next-best-product, recommendation, personalization, sales intelligence, or AI-assisted decision-support products .

Experience working with B2B enterprise sales organizations.

Strong understanding of enterprise sales motions, account planning, opportunity management, solution selling, and customer lifecycle management.

Experience with CRM and sales platforms such as Salesforce, Microsoft Dynamics 365, or equivalent enterprise ecosystems.

Familiarity with recommendation systems, machine learning ranking models, propensity models, customer segmentation, predictive analytics, or personalization.

Experience working with large-scale customer, product, behavioral, or commercial datasets.

Familiarity with cloud, SaaS, enterprise software, or complex technology product portfolios.

Experience driving products or strategic initiatives across general, highly matrixed organizations.

How do we ensure recommendations solve a real customer need rather than simply reflecting what the company wants to sell?

Signal Quality

Which customer, product, behavioral, and commercial signals are most predictive of a relevant opportunity?

How do we determine when a customer is most likely to benefit from a particular product, solution, or conversation?

How do seller actions, customer responses, product adoption, and commercial outcomes continuously improve future recommendations?

How do we distinguish correlation from incremental business impact and accurately measure whether recommendations are creating additional customer and commercial value?

You can break that question into customer problems, business opportunities, data requirements, product capabilities, and measurable outcomes — and then work with engineering and data science teams to turn that strategy into a scalable software product.

You are equally comfortable discussing business strategy and commercial impact with senior executives, recommendation models with data scientists, product requirements with engineers, and workflows with frontline sellers.

You are highly analytical but understand that data alone does not create a successful product. You actively seek customer and seller feedback, challenge assumptions, test hypotheses, and use evidence to make decisions.

Job -Software

Schedule -Full time

Shift -First Shift (Mexico)

HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s).

📌 Microsoft | Senior Product Manager (Sant Cugat del Vallès)
🏢 HP España
📍 Sant Cugat del Vallès