Sr. Director, Product Strategy & AI

📍 Job Overview

Job Title: Sr. Director, Product Strategy & AI

Company: Strada Global

Location: Granada, Andalusia, Spain

Job Type: FULL_TIME

Category: Product Strategy & Operations (AI Focus)

Date Posted: 2026-09-16

Experience Level: 10+ Years

Remote Status: Remote OK (with potential for hybrid in Granada)

🚀 Role Summary

• Spearhead the product vision, strategy, and roadmap for AI-powered employee and enterprise solutions, with a deep focus on conversational employee experiences and intelligent HR/payroll workflows.

• Drive innovation in external-facing conversational UI and internal process optimization through agentic AI orchestration, leveraging platforms like Workday and SAP.

• Translate AI concepts into scalable, human-centered solutions, ensuring responsible AI governance and alignment with client and business outcomes.

• Partner closely with Product, Engineering, Design, Delivery, Sales, and Operations to identify and prioritize high-value AI opportunities in the international workforce management space.

• Lead initiatives to enhance service delivery and ongoing services through AI-enabled technologies, aiming for significant operational efficiency gains and improved client adoption.

📝 Enhancement Note: This role sits at the intersection of Product Management, AI Strategy, and Operations, with a strong emphasis on leveraging AI to optimize HR and payroll processes. The "Sr. Director" title implies significant strategic leadership and cross-functional influence. The AI focus suggests a need for understanding LLMs, prompt engineering, and agentic AI frameworks.

📈 Primary Responsibilities

• Define and articulate the AI product vision, strategy, and roadmap for employee-facing and enterprise workflow solutions, with a specific emphasis on Workday and SAP payroll ecosystems.

• Architect external-facing conversational UI experiences designed to elevate employee interaction with HR and payroll services, prioritizing usability, trust, resolution quality, and widespread adoption.

• Lead transformative process redesign initiatives by employing agentic AI orchestration to streamline complex, multi-step workflows and enhance handoffs across service delivery and support functions.

• Continuously assess market trends, emerging AI platform capabilities, evolving customer needs, and competitive landscapes to pinpoint differentiated growth opportunities and establish strategic priorities.

• Develop robust business cases and compelling investment recommendations that meticulously balance client value, technical feasibility, adherence to responsible AI practices, and overall commercial impact.

• Collaborate intensively with Product, Engineering, Design, Data Science, Delivery, and Commercial teams to conceptualize and build scalable AI solutions, incorporating critical elements like human-in-the-loop controls, defined escalation paths, and rigorous model or agent governance.

• Orchestrate and lead co-design workshops, design sprints, and proof-of-concept initiatives with clients and internal stakeholders to validate and refine conversational AI, automation, and orchestration opportunities, ensuring clear, measurable business outcomes.

• Establish and meticulously track key success metrics for all AI initiatives, including aspects like experience quality, containment/completion rates, productivity improvements, risk mitigation, and financial impact, utilizing these insights to iteratively refine roadmap decisions.

• Contribute significantly to the go-to-market strategy, including crafting compelling messaging and ensuring strategic partner alignment for AI-enabled payroll and HR offerings, effectively translating technical capabilities into tangible business value for client-facing audiences.

• Assist in establishing and maintaining repeatable AI governance frameworks and operating practices that foster safe experimentation, enable scalable deployment, ensure robust observability, and drive continuous improvement cycles.

📝 Enhancement Note: The responsibilities clearly indicate a strategic leadership role focused on the practical application of AI in enterprise HR and payroll. This goes beyond just defining strategy to actively leading cross-functional teams in implementation and optimization, requiring a strong understanding of both AI capabilities and operational realities within HR/payroll systems like Workday and SAP.

🎓 Skills & Qualifications

Education: Bachelor’s degree or equivalent experience required; an advanced degree in a relevant field (e.g., Computer Science, AI, Business, Operations) is a strong plus.

Experience: 8+ years of progressive experience in product strategy, product management, portfolio leadership, or digital transformation for enterprise cloud and AI-enabled solutions.

Required Skills:

• Deep expertise in defining AI product vision, strategy, roadmaps, and business cases directly tied to measurable business and client outcomes.

• Proven track record in designing or scaling conversational AI, digital assistants, or employee-facing experiences, demonstrating a solid understanding of conversational UX principles and trust-centered design methodologies.

• Demonstrated experience leading process transformation or workflow redesign initiatives using automation, AI copilots, or agentic AI orchestration across complex, multi-step enterprise processes.

• Strong knowledge of core AI concepts, including but not limited to: large language models (LLMs), retrieval-augmented generation (RAG) experiences, prompt and interaction design, AI orchestration frameworks, human-in-the-loop (HITL) controls, and responsible AI governance principles.

• Proven success in leading complex, cross-functional initiatives involving Product, Engineering, Design, Delivery, Operations, and Commercial teams.

• Exceptional analytical, communication, and stakeholder management skills, with a proven ability to translate intricate AI concepts into clear, compelling business value narratives for executive leadership, clients, and delivery teams.

• Strong understanding of Payroll and/or HR applications, with direct, hands-on experience in Workday and/or SAP payroll ecosystems being highly preferred. Preferred Skills:

• Experience with global workforce management, international payroll, or multi-country HR solutions.

• Familiarity with Agile development methodologies and product lifecycle management for AI-driven products.

• Experience in a consulting or service delivery environment, understanding client-facing challenges in HR/Payroll transformation.

• Knowledge of data science principles and their application in AI product development.

• Experience with AI model evaluation, performance monitoring, and MLOps practices.

📝 Enhancement Note: The experience requirement is stated as "8+ years" but the AI-generated experience level is "10+". Given the "Sr. Director" title and the strategic nature of the role, it's reasonable to infer that candidates with 10+ years of relevant experience will be strongly considered, especially if their background includes leadership and strategic product development in AI and enterprise solutions. The preference for Workday/SAP is critical for understanding the target environment.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Demonstrations of previous product strategy development, including vision setting, roadmap creation, and business case justification for AI or enterprise software initiatives.

• Case studies showcasing successful implementation of AI-driven solutions, particularly conversational AI or workflow automation, highlighting measurable outcomes like adoption rates, efficiency gains, or improved user experience.

• Examples of process transformation projects where AI or automation was leveraged to redesign and optimize complex enterprise workflows, illustrating the before-and-after impact.

• Documentation or presentations detailing experience with responsible AI governance, including frameworks for ethical AI development, risk mitigation strategies, and human-in-the-loop controls.

• Evidence of cross-functional leadership, demonstrating the ability to align diverse teams (Product, Engineering, Design, Operations, Sales) around a common product strategy and execution plan. Process Documentation:

• Workflows detailing the product development lifecycle for AI-powered features, from ideation and research through to deployment, monitoring, and iteration.

• Process maps illustrating how AI solutions are integrated into existing enterprise systems (e.g., Workday, SAP) and how they impact downstream operational processes.

• Documentation of methodologies used for defining and measuring success metrics for AI initiatives, including how data is collected, analyzed, and used for continuous improvement.

• Examples of client co-design or workshop facilitation processes used to validate AI product concepts and gather requirements for user-centered solutions.

📝 Enhancement Note: For a Sr. Director role focused on AI Product Strategy, the portfolio should emphasize strategic thinking, leadership in complex initiatives, and demonstrable impact through AI implementation. Quantifiable results and a clear understanding of responsible AI practices are crucial.

💵 Compensation & Benefits

Salary Range: For a Sr. Director, Product Strategy & AI role in Granada, Spain, with 10+ years of experience, the estimated annual salary range would be €90,000 - €130,000. This estimate is based on industry benchmarks for senior product leadership roles in technology, adjusted for the Spanish market and the specific location of Granada, considering its cost of living and the presence of technology companies.

Benefits:

• Comprehensive health coverage (medical, dental, vision).

• Robust wellbeing programs and support services.

• Generous paid leave policies, including vacation, sick days, and parental leave.

• Competitive retirement savings plans (pension contributions).

• Continuous learning opportunities, including training, certifications, and access to industry conferences.

• Opportunities for professional development and career advancement within a growing global organization.

• Potential for performance-based bonuses or equity, depending on company policy.

Working Hours: Standard full-time employment, typically around 40 hours per week, with flexibility offered to support work-life balance and accommodate cross-timezone collaboration.

📝 Enhancement Note: The salary range is an estimate for Spain, specifically Granada. It reflects the seniority of the role and the specialized skills in AI and product strategy. The benefits listed are standard for a global tech company and are expanded based on common offerings. The working hours are typical but the "Remote OK" status and global operations suggest a need for flexibility.

🎯 Team & Company Context

🏢 Company Culture

Industry: Technology / HR Technology / Fintech (Payroll) - Strada Global operates at the nexus of HR Tech, Payroll, and Fintech, providing comprehensive international workforce management solutions. This industry requires a blend of technological innovation, regulatory compliance, and client-centric service delivery.

Company Size: Strada Global is a large, established company with a significant international presence, indicated by its operation in 180+ countries. This size suggests a structured environment with opportunities for impact across diverse markets and a complex organizational matrix.

Founded: Strada Global was founded with a vision to simplify international workforce management. Its history likely involves growth through innovation and expansion, building a reputation as a leader in people, payroll, and technology solutions.

Team Structure:

• The AI Product Strategy team is likely a central function, reporting to senior product or technology leadership.

• This role will collaborate extensively with dedicated Product Managers, Engineering teams (AI/ML specialists, software engineers), UX/UI Designers, Data Scientists, and operational teams responsible for service delivery and client support.

• Expect a matrixed reporting structure where the Sr. Director influences and guides various functional teams toward a unified AI product vision. Methodology:

• Data Analysis & Insights: Emphasis on leveraging data to understand customer needs, market trends, and the performance of AI solutions. This includes analytics on usage, adoption, and business impact.

• Workflow Planning & Optimization: A core focus on identifying inefficiencies in current HR/payroll processes and designing AI-driven solutions to optimize workflows, improve service delivery, and enhance employee experiences.

• Automation & Efficiency: Driving the adoption of automation and AI technologies to increase operational efficiency, reduce manual effort, and scale services effectively across a global client base.

Company Website: www.stradaglobal.com

📝 Enhancement Note: The company's focus on "people, payroll, and technology" and its global reach provide context for the AI product strategy. The role is positioned to drive significant change and efficiency within these core areas, requiring an understanding of both enterprise software ecosystems and AI's potential to transform service delivery.

📈 Career & Growth Analysis

Operations Career Level: This Sr. Director role represents a senior leadership position within the product organization, with a strong strategic focus on AI. It requires a blend of deep technical understanding (AI, enterprise systems), strategic product vision, cross-functional leadership, and business acumen. The scope extends to influencing the overall direction of AI integration across the company's offerings.

Reporting Structure: This role likely reports to a VP of Product, Chief Product Officer (CPO), or potentially a CTO, depending on the organizational structure. The individual will lead a team or virtual team of product professionals and collaborate closely with engineering and operational leaders.

Operations Impact: The impact of this role is substantial, directly influencing the company's competitive advantage through AI innovation. Success will be measured by increased client adoption of AI-enabled features, significant operational efficiency gains in service delivery and payroll processing, successful commercialization of new AI products, and overall advancement of Strada Global's strategic AI initiatives.

Growth Opportunities:

• AI Product Leadership: Potential to grow into VP or CPO roles, leading broader product portfolios or entire product organizations, with a continued focus on strategic technology adoption.

• Specialization & Expertise: Deepen expertise in specific AI domains (e.g., Generative AI, Agentic AI, Responsible AI) and become a recognized thought leader in AI for HR Tech and Payroll.

• Cross-Functional Leadership: Transition into broader operational leadership roles, overseeing entire business units or strategic transformation programs that leverage AI and technology.

• Global Strategy: Influence and shape the global product strategy for AI, impacting millions of users worldwide and driving significant business growth.

📝 Enhancement Note: The "Sr. Director" title implies a significant level of responsibility and autonomy. Growth opportunities are geared towards executive leadership and deep specialization in a high-demand field like AI product strategy. The emphasis on impact and measurable outcomes suggests a performance-driven environment.

🌐 Work Environment

Office Type: Strada Global operates globally, and while this role is based in Granada, Spain, the "Remote OK" designation and the company's international footprint suggest a hybrid or fully remote-friendly work environment. The company emphasizes a "people-first" approach, indicating a supportive and collaborative atmosphere.

Office Location(s): While the primary posting is for Granada, Spain, the company operates in 180+ countries. This suggests a distributed workforce model where collaboration often occurs virtually across different time zones. Specific office hubs may exist, but the role's flexibility is a key aspect.

Workspace Context:

• Collaborative Environment: Expect a dynamic, cross-functional environment where close collaboration with product managers, engineers, designers, and operations teams is essential. Virtual collaboration tools and practices are paramount.

• Operations Tools & Technology: Access to modern collaboration tools, AI/ML platforms, cloud infrastructure, and potentially specialized HR/Payroll software for research and development.

• Team Interaction: Regular virtual meetings, brainstorming sessions, and project updates with teams located globally. Opportunities to engage with clients and partners virtually for co-design and validation.

Work Schedule: While a standard 40-hour work week is typical, the global nature of Strada's operations and the collaborative requirements across different time zones may necessitate some flexibility in working hours to accommodate meetings and project timelines.

📝 Enhancement Note: The work environment is likely a blend of remote flexibility and structured collaboration. Given the AI and product strategy focus, expect a fast-paced, innovative environment that values data-driven decision-making and cross-functional teamwork.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A recruiter will likely conduct an initial screening to assess experience, cultural fit, and basic qualifications. Be prepared to discuss your background in AI product strategy and enterprise HR/payroll.

• Hiring Manager Interview: A discussion with the direct hiring manager (likely a VP or CPO) focusing on strategic thinking, leadership experience, and your vision for AI in the HR/Payroll space.

• Cross-Functional Interviews: Meetings with key stakeholders from Product, Engineering, Design, and Operations. These will assess your ability to collaborate, understand technical challenges, and translate business needs into product requirements.

• Case Study/Presentation: A common step for senior roles. You may be asked to prepare and present a strategy for a specific AI product initiative or a solution to a business problem, demonstrating your strategic thinking, analytical skills, and communication abilities. This is where your portfolio will be critical.

• Final Interview: Potentially with senior leadership to assess overall fit and strategic alignment with the company's direction.

Portfolio Review Tips:

• Strategic Depth: Showcase your ability to develop and articulate a clear product vision and strategy, supported by market analysis and business cases. Highlight how you've driven strategic initiatives.

• AI Expertise: Provide concrete examples of AI products or features you've managed or influenced. Detail your understanding of LLMs, conversational AI, and responsible AI principles. Quantify the impact of your work.

• Process Optimization Focus: Include case studies demonstrating how you've used AI or automation to redesign and optimize complex enterprise workflows, especially in HR/Payroll. Clearly outline the problem, your solution, and the measurable results (e.g., efficiency gains, cost savings, improved user satisfaction).

• Cross-Functional Collaboration: Illustrate instances where you've successfully led or collaborated with diverse teams to bring products to market. Highlight your communication and stakeholder management skills.

• Conciseness & Clarity: Ensure your portfolio is well-organized, easy to navigate, and highlights your most impactful achievements. Tailor the examples to showcase relevance to Strada Global's business.

Challenge Preparation:

• Strategic Problem Solving: Be prepared to discuss how you would approach defining the AI strategy for Strada Global, identifying key opportunities, and prioritizing initiatives. Think about how AI can enhance employee experience and operational efficiency in payroll and HR.

• AI Governance & Ethics: Anticipate questions about responsible AI development, managing risks associated with AI, and implementing ethical guidelines.

• Stakeholder Alignment: Practice articulating complex AI concepts and their business value to different audiences (technical teams, business leaders, clients).

• Workday/SAP Context: If possible, review common challenges and opportunities within Workday and SAP environments that AI could address.

📝 Enhancement Note: The interview process for a Sr. Director role will be rigorous, focusing heavily on strategic thinking, leadership, and demonstrable impact. A well-curated portfolio is essential for showcasing these capabilities, especially in the context of AI product strategy and process optimization.

🛠 Tools & Technology Stack

Primary Tools:

• AI/ML Platforms: Experience with cloud-based AI/ML platforms (e.g., AWS SageMaker, Google AI Platform, Azure Machine Learning) for building, training, and deploying models.

• Conversational AI Frameworks: Familiarity with tools and platforms for developing chatbots and virtual assistants (e.g., Google Dialogflow, Microsoft Bot Framework, Rasa).

• Orchestration Tools: Understanding of platforms or custom solutions used for orchestrating complex workflows involving AI agents and human intervention.

• Product Management Software: Proficiency in tools like Jira, Confluence, Asana, or similar for roadmap planning, backlog management, and project tracking.

Analytics & Reporting:

• Data Visualization Tools: Experience with tools like Tableau, Power BI, or Looker for creating dashboards and reports to track AI product performance and business impact.

• Analytics Platforms: Familiarity with web analytics (e.g., Google Analytics) and product analytics (e.g., Amplitude, Mixpanel) to understand user behavior and adoption.

• Data Warehousing & SQL: Ability to query and analyze data from data warehouses using SQL is often beneficial for understanding product performance metrics.

CRM & Automation:

• CRM Systems: Experience with CRM platforms like Salesforce, particularly in understanding how customer data can inform product strategy and client engagement.

• Workflow Automation Tools: Knowledge of tools that facilitate business process automation, potentially including integration platforms (iPaaS) for connecting different enterprise systems.

• Enterprise Resource Planning (ERP) / HRIS: Deep understanding of systems like Workday and SAP, including their data structures, workflows, and API capabilities, is crucial for this role.

📝 Enhancement Note: This role requires a strong understanding of the AI/ML ecosystem, coupled with practical experience in enterprise software, particularly HRIS/Payroll systems like Workday and SAP. Proficiency in data analytics and visualization is also key to demonstrating the impact of AI initiatives.

👥 Team Culture & Values

Operations Values:

• Anticipate Customer Needs: A proactive approach to understanding client challenges in international payroll and HR, and leveraging AI to develop solutions before they are explicitly requested. This means staying ahead of trends and potential pain points.

• Own the Outcome: Taking full responsibility for the success of AI product initiatives, from conception and development through to adoption and measurable business impact. This implies a commitment to delivering excellence and ensuring solutions are robust and effective.

• Challenge Ourselves to Work Smarter: A drive for continuous improvement and innovation, seeking out new AI technologies and methodologies to enhance efficiency, streamline processes, and accomplish more with fewer resources. This value encourages experimentation and the adoption of cutting-edge solutions.

• Empower Each Other to Solve Problems: A collaborative spirit where team members are encouraged to tackle complex challenges together, ask critical questions, and leverage collective intelligence to find the best AI-driven solutions. This fosters an environment of shared learning and problem-solving.

• Care About Our Work: A deep sense of responsibility for the impact Strada's solutions have on millions of employees globally. This value instills a commitment to accuracy, fairness, and ethical considerations, particularly in the development and deployment of AI.

Collaboration Style:

• Cross-Functional Integration: Expect a highly collaborative style, working closely with product managers, engineers, designers, and operations teams. Open communication channels and a shared understanding of goals are vital.

• Process Review & Feedback: An environment that encourages regular review of processes and iterative feedback loops to refine AI strategies and product development. Constructive criticism is valued for driving improvement.

• Knowledge Sharing: Practices that promote the sharing of insights, best practices, and learnings across teams, especially concerning AI advancements and their application in HR/Payroll. This could involve internal presentations, documentation, or dedicated forums.

📝 Enhancement Note: The company values emphasize a proactive, responsible, and collaborative approach to innovation. For this AI Product Strategy role, it means not only developing cutting-edge solutions but also ensuring they are customer-centric, ethically sound, and drive tangible business outcomes through smart, efficient processes.

⚡ Challenges & Growth Opportunities

Challenges:

• AI Complexity & Governance: Navigating the rapidly evolving landscape of AI technologies while ensuring responsible development, ethical deployment, and robust governance, especially concerning sensitive employee data.

• Integration with Legacy/Enterprise Systems: Successfully integrating advanced AI solutions with complex, established HR and payroll systems like Workday and SAP, which may have their own limitations and integration complexities.

• Balancing Innovation with Scalability: Identifying truly innovative AI opportunities and then scaling them effectively across a global client base, ensuring reliability, performance, and cost-effectiveness.

• Cross-Functional Alignment: Achieving and maintaining alignment across diverse teams (Product, Engineering, Operations, Sales, Legal) with potentially different priorities and perspectives on AI implementation.

Learning & Development Opportunities:

• AI Skill Advancement: Opportunities to deepen expertise in emerging AI fields such as Generative AI, Reinforcement Learning, AI Explainability, and advanced prompt engineering through training, certifications, and hands-on project work.

• Industry Conferences & Networking: Participation in leading AI, HR Tech, and Product Management conferences to stay abreast of industry trends, network with peers, and gain exposure to new technologies and strategies.

• Leadership Development: Access to leadership training programs, mentorship opportunities, and exposure to executive-level decision-making to foster growth into broader leadership roles within the organization.

• Cross-Domain Exposure: Gaining deeper insights into international payroll, HR compliance, and global workforce management, complementing existing AI and product strategy expertise.

📝 Enhancement Note: This role presents significant challenges related to the cutting edge of AI technology and its practical application in a regulated industry. However, these challenges are directly tied to substantial growth opportunities for developing expertise and advancing career prospects in a high-demand field.

💡 Interview Preparation

Strategy Questions:

• "How would you define and prioritize the AI product roadmap for Strada Global over the next 1-3 years, considering our focus on international payroll and employee experience?" - Prepare to discuss market analysis, customer needs, competitive landscape, and a framework for prioritization (e.g., RICE, ICE) adapted for AI initiatives.

• "Describe a time you led the transformation of an enterprise workflow using AI or automation. What were the key challenges, how did you overcome them, and what was the measurable business impact?" - Focus on a specific, quantifiable example that showcases your strategic thinking, problem-solving skills, and ability to drive operational efficiency.

• "What are the most critical considerations for responsible AI governance in the context of HR and payroll data? How would you ensure ethical AI development and deployment at Strada?" - Be ready to discuss privacy, bias, transparency, accountability, and human-in-the-loop controls, referencing relevant frameworks or best practices. Company & Culture Questions:

• "Based on your understanding of Strada Global, where do you see the biggest opportunities for AI to create value for our clients and our business?" - Research Strada's products, services, and stated mission. Connect AI capabilities to their specific business challenges and growth areas.

• "How do you foster a culture of innovation and collaboration within product and engineering teams, especially when working with advanced AI technologies?" - Discuss your leadership style, communication strategies, and methods for encouraging idea generation, experimentation, and cross-functional teamwork.

• "How would you measure the success of an AI product initiative beyond just feature adoption? What key metrics would you track to demonstrate ROI and strategic impact?" - Think about metrics related to operational efficiency, cost savings, employee productivity, risk reduction, and client satisfaction, linking them back to business objectives. Portfolio Presentation Strategy:

• Narrative Arc: Structure your portfolio presentation around compelling stories. For each case study, clearly define the problem, your strategic approach, the AI/automation solution implemented, the challenges faced, and the quantifiable results achieved.

• Visual Clarity: Use clear, concise slides with impactful visuals. Highlight key metrics, process maps (before/after), and user journey improvements. Avoid overly technical jargon unless necessary and explained.

• Strategic Alignment: Explicitly connect your portfolio examples to Strada Global's business, values, and the specific requirements of the Sr. Director role. Show how your past successes are transferable and relevant.

• Interactive Engagement: Be prepared to discuss your work in detail, answer probing questions about your decision-making process, and engage in a dialogue about potential future initiatives for Strada.

📝 Enhancement Note: The interview questions will heavily probe your strategic thinking, AI expertise, and leadership capabilities. Your portfolio should serve as tangible evidence to support your responses, demonstrating practical application and measurable impact.

📌 Application Steps

To apply for this operations position:

• Submit your application through the Strada Global careers portal via the provided link.

• Curate Your Operations Portfolio: Tailor your resume and portfolio to highlight your experience in AI product strategy, enterprise HR/Payroll systems (Workday, SAP), process optimization, and cross-functional leadership. Ensure your portfolio includes specific case studies showcasing measurable improvements in efficiency, user experience, or business outcomes driven by AI.

• Optimize Your Resume for AI & Operations Keywords: Integrate keywords such as "Product Strategy," "Artificial Intelligence," "Conversational AI," "Agentic AI Orchestration," "Workday," "SAP," "Process Optimization," "Workflow Redesign," "Responsible AI," and "Go-to-Market Strategy." Quantify achievements whenever possible.

• Prepare for Strategic Case Studies: Anticipate being asked to present a strategic approach to an AI product challenge relevant to Strada Global. Practice articulating your vision, methodology, and expected impact, using examples from your portfolio.

• Research Strada Global's AI & Operations: Deeply understand Strada's current offerings, market position, and stated values. Identify how AI can further enhance their employee experience solutions and operational efficiency in international payroll and HR.

⚠️ Important Notice: This enhanced job description includes AI-generated insights and operations industry-standard assumptions. All details, particularly regarding salary and specific interview processes, should be verified directly with the hiring organization before making application decisions.