Concepteur de produits principal/ Senior Product Designer

Acumatica
Full-time•Montreal, Canada
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📍 Job Overview

Job Title: Senior Product Designer

Company: Acumatica

Location: Montreal, Quebec, Canada

Job Type: Full-time

Category: Product Design / User Experience

Date Posted: November 4, 2026

Experience Level: 5-10 Years

Remote Status: On-site

🚀 Role Summary

  • This Senior Product Designer role focuses on owning the end-to-end user experience for Acumatica's cloud ERP applications, emphasizing the creation of intuitive and scalable solutions within an enterprise software context.

  • A key aspect involves leveraging AI-assisted design tools and methodologies to accelerate the prototyping and specification process, ensuring designs are validated and ready for engineering implementation.

  • The position requires a deep understanding of complex B2B workflows and the ability to model system behavior, including edge cases and AI-generated outputs, for both visual and headless interfaces.

  • This role is integral to the product discovery team, necessitating close collaboration with Product Managers, Business Analysts, and Engineering Leads to translate business requirements into tangible, high-quality user experiences.

📝 Enhancement Note: The job description heavily emphasizes the integration of AI into the design workflow, including the use of AI tools for prototyping and specification, and designing for AI-surfaced experiences. This indicates a forward-thinking product development approach and a need for candidates comfortable with emergent technologies in the design process. The focus on "building the working reference" through code prototypes suggests a hands-on role requiring a blend of design and technical understanding, moving beyond traditional Figma handoffs.

📈 Primary Responsibilities

  • Lead the end-to-end user experience (UX) design for assigned product epics, encompassing both traditional UI and AI-surfaced or headless experiences, ensuring alignment with the overall product vision.

  • Conduct comprehensive user research and competitive analysis, with a specific focus on emerging UX patterns and AI capabilities, to inform and drive design strategy and innovation.

  • Develop and validate early-stage concepts through functional code prototypes, utilizing AI-assisted tools, to gather user feedback and ensure feasibility before committing to full design or engineering efforts.

  • Create detailed models of user flows, screen states, component behaviors, and transitions, defining how the user interface (UI) responds to user input, system events, and API responses.

  • Design robust error handling and fallback mechanisms for AI-generated outputs, ensuring graceful degradation and human-in-the-loop interventions when results are incomplete, incorrect, or of low confidence.

  • Build working code prototypes within the established component library to serve as a definitive reference for Business Analysts and backend developers, ensuring clear data structures and separation of UI from data logic.

  • Author clear and interpretable behavioral specifications for engineers and AI coding agents, detailing interaction rules, states, edge cases, and UI acceptance criteria.

  • Define and implement UI-level guardrails for AI-driven features, including visual indicators for uncertainty, requirements for human confirmation, and user override capabilities.

  • Actively manage design artifacts within BitBucket repositories, including branching, committing changes, and participating in pull request reviews to maintain design and code synchronization.

  • Store and manage design tokens directly in the code repository, ensuring alignment between Figma variables and coded tokens, treating the coded component library as the single source of truth.

  • Coordinate AI agents for various design tasks, such as research synthesis, specification drafting, and documentation, while retaining final design decision-making authority.

  • Conduct rigorous design quality assurance (QA) on AI-generated code and UI, auditing for design system compliance, interaction accuracy, and accessibility before deployment.

  • Mentor junior team members, fostering a culture of design excellence and continuous learning within the product team.

  • Lead cross-functional design sprints and workshops, facilitating collaboration and driving consensus towards actionable design decisions.

  • Link design work directly to measurable business outcomes, defining and tracking key success metrics such as task completion rates, error reduction, customer satisfaction (CSAT), and product adoption.

📝 Enhancement Note: The responsibilities highlight a significant shift towards a "design as code" paradigm, where prototypes are built with functional code and treated as the source of truth. This requires a deep integration with the engineering workflow and an understanding of how code components and design tokens are managed. The emphasis on AI-assisted workflows and auditing AI-generated output points to a role at the forefront of design technology adoption.

🎓 Skills & Qualifications

Education: While no specific degree is listed, the role implies a strong foundation in design principles and methodologies, potentially gained through formal education in Design, Human-Computer Interaction (HCI), or a related field, or through equivalent practical experience.

Experience: A minimum of 5 years of professional product design experience is required, with a proven track record of successfully shipping products and demonstrably impacting business outcomes.

Required Skills:

  • End-to-End Product Design Ownership: Proven ability to manage the complete product design lifecycle for complex B2B or enterprise workflows, from initial concept to final implementation.

  • Portfolio of Complex Workflows: A strong portfolio showcasing ownership of intricate B2B or enterprise workflows, including detailed state models, edge case handling, and comprehensive system behavior documentation.

  • Working Code Prototypes: Demonstrated capability to build functional code prototypes using AI-assisted tools, capable of being specified by Business Analysts and integrated by backend developers, with defined mock data and segregated UI/data logic.

  • AI-Assisted Design Proficiency: Experience utilizing AI tools (e.g., Cursor, Claude Code, Figma Make) to accelerate the design process, including research synthesis, specification drafting, and prototyping.

  • Accessibility Standards: Strong awareness and application of WCAG standards, with a solid understanding of assistive technologies to ensure inclusive product design for all users.

  • AI-Surfaced & Headless Experience Design: Fluency in designing screen- and flow-level patterns for AI-driven and headless interfaces, including confidence indicators, override affordances, and human-in-the-loop controls.

  • Design Systems & Token Management: Experience working with and contributing to design systems, including managing and aligning design tokens between design tools (Figma) and code repositories.

  • Version Control (BitBucket): Direct experience working within BitBucket repositories, including branching, committing, opening/reviewing pull requests, and resolving basic merge conflicts.

  • User Research & Validation: Ability to conduct and synthesize user research, competitive analysis, and usability testing to validate design concepts and ensure user satisfaction.

  • Cross-functional Collaboration: Excellent communication and collaboration skills, with the ability to build strong relationships and actively contribute in cross-functional meetings with Product Managers, Engineers, and Business Analysts.

  • Systems Thinking: Capacity to design for scalability, long-term impact, and understand how individual features integrate into a larger product ecosystem.

  • Behavioral Specification Writing: Skill in writing clear, concise behavioral specifications that AI agents and engineers can interpret, covering interaction rules, states, and acceptance criteria.

Preferred Skills:

  • AI Strategy Integration: Experience in setting cross-feature principles for AI integration within products, focusing on trust, transparency, user control, and uncertainty communication.

  • Facilitation & Workshop Leadership: Proven ability to lead workshops and cross-functional sessions, guiding groups from divergence to decision-making.

  • Mentorship: Experience mentoring junior designers and fostering a collaborative team environment.

  • Agile Methodologies: Familiarity with Agile development processes and how design integrates within sprints.

  • Data Modeling & API Understanding: Basic understanding of data modeling concepts and API interactions to better inform design decisions.

📝 Enhancement Note: The emphasis on building "working code prototypes" and managing design in "BitBucket repositories" strongly suggests that this role requires a hybrid skillset, often referred to as a "Designer-Engineer" or "Prototyper." Candidates will need to demonstrate not just design thinking but also a tangible ability to translate designs into functional code artifacts that serve as a direct bridge to engineering. The requirement for AI-assisted design proficiency is a critical differentiator.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

  • End-to-End Workflow Ownership: The portfolio must clearly demonstrate cases where the candidate owned the complete design process for complex B2B or enterprise software workflows, detailing the problem, solution, and impact.

  • System Behavior Modeling: Include examples of how system behavior, state models, and edge cases were meticulously defined and documented within design artifacts.

  • Working Code Prototype Examples: Showcase projects where functional code prototypes were built, ideally mentioning the tools used (especially AI-assisted ones) and how these prototypes served as a reference for development.

  • AI Integration Case Studies: Present projects that involved designing for AI-surfaced features or integrating AI into the user experience, detailing the approach to trust, transparency, and user control.

  • Accessibility Implementation: Provide evidence of applying WCAG standards and considering assistive technologies in design solutions, with examples of how accessibility was integrated into the workflow.

  • Design System Contribution: Illustrate experience with design systems, including contributions to component libraries, management of design tokens, and ensuring UI consistency.

Process Documentation:

  • User Research & Validation Documentation: Examples of how user research findings and validation results (e.g., usability testing reports) were synthesized and used to drive design iterations.

  • Behavioral Specification Samples: Demonstrate the ability to write clear, detailed behavioral specifications for UI interactions, states, and edge cases, suitable for interpretation by engineers and AI agents.

  • AI Workflow Documentation: Showcase documentation related to the use of AI in the design process, including prompt templates, reusable specification templates, or guidelines for AI agent coordination.

  • Cross-functional Collaboration Artifacts: Evidence of collaboration through design sprints, workshop outputs, or documentation that illustrates how design decisions were made collaboratively with product and engineering teams.

📝 Enhancement Note: The portfolio requirements are exceptionally detailed and lean heavily into the practical, code-centric aspects of modern product design, especially concerning AI integration and system-level thinking. Candidates should prepare to demonstrate not just the final UI but the underlying logic, behavior, and the process of creating functional prototypes that directly inform development.

💵 Compensation & Benefits

Salary Range: Based on industry benchmarks for a Senior Product Designer with 5-10 years of experience in a major Canadian tech hub like Montreal, the estimated salary range is CAD $100,000 - $140,000 annually. This estimate considers the specialized skills in AI-assisted design, code prototyping, and enterprise software UX.

Benefits:

  • Competitive compensation package.

  • RRSP matching program.

  • Generous paid vacation time.

  • Personal and sick days.

  • Comprehensive health and dental benefits.

  • Health spending account.

  • Personal spending account.

  • Employee Assistance Program (EAP).

  • Annual bonus eligibility.

  • Potential for stock options (for certain roles).

  • Sales incentives (for specific roles, based on revenue or utilization).

Working Hours: The standard working hours are 40 hours per week, indicative of a full-time on-site role. While not explicitly stated, a collaborative and high-energy culture often implies flexibility within standard business hours, accommodating cross-functional meetings and project demands.

📝 Enhancement Note: The salary estimation is based on market data for Senior Product Designer roles in Canada, specifically Montreal, considering the advanced technical and AI-related skills requested. The benefits package is extensive, covering health, retirement, time off, and wellness, with performance-based bonuses and stock options suggesting a strong incentive structure.

🎯 Team & Company Context

🏢 Company Culture

Industry: Software, specifically Cloud ERP (Enterprise Resource Planning) solutions. Acumatica operates in a competitive market segment focused on providing adaptable business management solutions for small to medium-sized businesses (SMBs). The recent acquisition by Vista Equity Partners, a firm specializing in enterprise software, suggests a focus on continued growth, operational efficiency, and product innovation within the enterprise software domain.

Company Size: Acumatica is described as a growing company with a global presence, indicating a mid-to-large size organization. The acquisition by Vista Equity Partners, a large investment firm, often signals a period of scaling and potential expansion. For operations professionals, this can mean both established processes and opportunities to contribute to their evolution.

Founded: While the founding date is not explicitly stated, Acumatica has been a recognized player in the cloud ERP space for some time, with significant analyst recognition (G2, IDC, Nucleus Research, Info-Tech). The acquisition in May 2025 by Vista Equity Partners is a key recent development.

Team Structure:

  • Product Design Team: This role is part of a discovery team that includes Product Managers, Business Analysts, and Engineering Leads. The Senior Product Designer is expected to mentor team members and lead cross-functional design sprints, suggesting a team-oriented structure with clear leadership responsibilities.

  • Cross-functional Collaboration: The role emphasizes close partnerships with Product Management, Business Analysis, and Engineering, indicating a highly collaborative environment where design is deeply integrated into the product development lifecycle.

  • Reporting: While not explicitly stated, the Senior Product Designer likely reports into a Design Lead, Head of Product Design, or a senior Product Management role, with direct interaction and influence across engineering and business analysis functions.

Methodology:

  • Agile & Iterative Design: The emphasis on discovery, validation through prototypes, and collaboration with engineering suggests an Agile or iterative product development methodology.

  • AI-Augmented Design: A core methodology involves leveraging AI tools for efficiency in research synthesis, specification drafting, and prototyping, with a focus on maintaining design quality and control.

  • Data-Driven Decisions: The requirement to link design work to measurable business outcomes and define success metrics indicates a data-driven approach to design evaluation and product improvement.

  • Systems Thinking: Designing for scale, long-term impact, and ecosystem integration is a key methodological principle.

Company Website: http://www.acumatica.com.

📝 Enhancement Note: Acumatica's positioning as an innovator in cloud ERP, coupled with its acquisition by Vista Equity Partners, suggests a company with strong growth ambitions and a commitment to technology leadership. The emphasis on AI integration into design processes is a significant differentiator and indicates a forward-looking approach to product development, which will appeal to operations professionals interested in cutting-edge solutions.

📈 Career & Growth Analysis

Operations Career Level: This is a Senior-level individual contributor role within the Product Design function. It requires significant autonomy, deep expertise, and the ability to influence product direction. The role is positioned to lead design efforts for complex features and mentor other designers, indicating a path towards technical leadership or specialized design expertise.

Reporting Structure: The Senior Product Designer is a key member of the product discovery team, working closely with Product Managers, Business Analysts, and Engineering Leads. They are expected to mentor junior team members and lead cross-functional design sprints, implying a leadership capacity within design initiatives, even if not a direct management role.

Operations Impact: The role directly impacts business outcomes by ensuring that Acumatica's cloud ERP applications are user-friendly, efficient, and meet the evolving needs of small to medium-sized businesses. By translating complex business requirements into validated, scalable solutions, the designer contributes to product adoption, customer satisfaction, and ultimately, revenue growth and market competitiveness. The focus on building working prototypes and clear specifications also directly impacts engineering efficiency and reduces time-to-market.

Growth Opportunities:

  • Technical Specialization: Deepen expertise in AI-assisted design, code prototyping, and designing for complex enterprise workflows, becoming a go-to expert in these areas.

  • Leadership within Design: Grow into a Design Lead or Principal Designer role, taking on more strategic product initiatives, leading larger design efforts, and potentially managing a team.

  • Cross-functional Influence: Expand influence across product strategy, engineering processes, and AI development by contributing to higher-level decision-making and process improvements.

  • Industry Expertise: Develop a deep understanding of the ERP and cloud software market, becoming a valuable asset in a specialized and critical industry.

  • Mentorship & Skill Development: Continue to mentor junior designers, contributing to the growth of the design team and enhancing leadership skills.

📝 Enhancement Note: The growth opportunities are substantial, particularly for individuals who embrace the advanced aspects of the role, such as AI integration and code prototyping. This position offers a clear trajectory for career advancement within a growing enterprise software company.

🌐 Work Environment

Office Type: The job is listed as "On-site" in Montreal, indicating a traditional office-based work environment. Acumatica describes its culture as "collaborative and high-energy" with a "modern downtown Montreal workplace."

Office Location(s): Montreal, Quebec, Canada. A downtown location typically implies good accessibility via public transport and proximity to amenities.

Workspace Context:

  • Collaborative Environment: The culture fosters collaboration, with opportunities to work closely with product, engineering, and business analysis teams. Regular team lunches and daily snacks/refreshments are mentioned, contributing to a positive and interactive workspace.

  • Tools & Technology: The role requires proficiency with modern design tools, version control systems (BitBucket), and AI-assisted design tools. Access to these technologies is implied within the modern workplace.

  • Team Interaction: The emphasis on cross-functional collaboration and leading design sprints suggests frequent interaction with colleagues across different departments.

Work Schedule: The standard working hours are 40 hours per week. While on-site, the company values work/life balance, suggesting that while demanding, the work environment aims to be sustainable.

📝 Enhancement Note: The on-site nature of the role in a modern downtown Montreal office suggests a traditional, yet vibrant, work environment. The emphasis on collaboration and provided amenities indicates a company that invests in its physical workspace and team interaction.

📄 Application & Portfolio Review Process

Interview Process:

  • Initial Screening: A review of your resume and portfolio to assess alignment with the required skills and experience, particularly the emphasis on complex B2B workflows and AI-assisted design.

  • Portfolio Presentation & Technical Discussion: A session where you will present your portfolio, focusing on specific case studies that demonstrate end-to-end ownership, code prototyping capabilities, AI integration strategies, and accessibility considerations. Expect in-depth questions about your design process, decision-making rationale, and how you've impacted business outcomes.

  • Cross-functional Collaboration Exercise: You may participate in a design exercise or discussion with Product Managers, Business Analysts, and Engineering Leads to assess your collaboration style, problem-solving approach, and ability to translate requirements into design solutions. This could involve a hypothetical design challenge or a review of a past project.

  • Behavioral and Leadership Interview: Questions will likely assess your leadership potential, ability to mentor, navigate ambiguity, and contribute to team culture. Expect to discuss how you handle feedback, drive decisions, and take ownership.

  • Final Interview: Potentially with senior leadership to discuss strategic alignment and overall fit.

Portfolio Review Tips:

  • Highlight AI Integration: Clearly showcase projects where you used AI tools for design or designed AI-driven features. Detail the specific tools, your approach, and the outcomes.

  • Demonstrate Code Prototyping: For each relevant project, provide examples of working code prototypes. Explain the process, the technology stack used, and how these prototypes facilitated development. If possible, include links or interactive demos.

  • Showcase B2B/Enterprise Complexity: Select case studies that exemplify your experience with complex business workflows, state management, and enterprise-level challenges. Detail the specific problems you solved and the impact on business metrics.

  • Emphasize End-to-End Ownership: For each case study, clearly articulate your role and responsibilities from problem discovery through to shipped product. Quantify your impact whenever possible.

  • Detail Accessibility Practices: Include examples where you actively applied WCAG standards and considered assistive technologies. Explain your thought process and the resulting improvements.

  • Structure for Clarity: Organize your portfolio logically, perhaps by project or by skill. Use clear headings, concise descriptions, and compelling visuals. Be prepared to walk through your process for each case study.

Challenge Preparation:

  • Design for AI Uncertainty: Be ready to discuss how you would design interfaces that handle uncertain or incomplete AI outputs, including confidence indicators, user overrides, and human-in-the-loop mechanisms.

  • Prototype with Code: If a practical challenge is given, prepare to build a functional prototype using code. Understand how to quickly set up a development environment and leverage component libraries.

  • Translate Business Rules: Practice translating abstract business rules and logic into concrete UI interactions, states, and specifications.

  • System Behavior Modeling: Be prepared to model the behavior of a system or feature, considering various states, edge cases, and API interactions.

📝 Enhancement Note: The application process heavily emphasizes practical, hands-on skills, particularly in code prototyping and AI integration. Candidates should prepare to demonstrate tangible work and discuss their process in detail, with a strong focus on how their designs translate into functional software and impact business metrics.

🛠 Tools & Technology Stack

Primary Tools:

  • Prototyping Tools: Figma (with variables), AI-assisted tools such as Cursor, Claude Code, Figma Make.

  • Version Control: BitBucket (Git).

  • Design Systems: Experience working with and contributing to coded component libraries and managing design tokens.

Analytics & Reporting:

  • While not explicitly listed, a Senior Product Designer would typically use analytics tools to track user behavior and product adoption (e.g., Google Analytics, Mixpanel, Amplitude) and reporting tools to present findings to stakeholders. CRM & Automation:

  • Familiarity with CRM systems (like Salesforce, or Acumatica's own ERP system) and understanding how design integrates with business processes and workflows is beneficial.

📝 Enhancement Note: The explicit mention of BitBucket, Figma, and specific AI design tools points to a modern, code-centric design workflow. Candidates should be comfortable with these technologies and demonstrate an understanding of how design artifacts integrate directly into the development pipeline.

👥 Team Culture & Values

Operations Values:

  • Innovation & Forward-Thinking: A strong emphasis on embracing new technologies like AI to enhance design processes and product capabilities.

  • Efficiency & Productivity: A drive to optimize workflows, accelerate development cycles through tools like AI and code prototyping, and deliver measurable business outcomes.

  • Collaboration & Community: A culture that values teamwork, open communication, and mutual support, evident in the "freakishly friendly" customer service ethos and internal team interactions.

  • User-Centricity & Quality: A commitment to understanding user needs, validating designs rigorously, and ensuring high standards for quality, accessibility, and usability in all products.

  • Work/Life Balance: While high-energy, the company explicitly values work/life balance, suggesting a focus on sustainable productivity.

Collaboration Style:

  • Integrated Design & Engineering: The role emphasizes a tight loop between design and engineering, with designers building code prototypes and actively participating in development workflows.

  • Cross-functional Partnership: Strong emphasis on working closely with Product Management and Business Analysis to ensure alignment between user needs, business goals, and technical feasibility.

  • Mentorship & Knowledge Sharing: An environment where senior members mentor junior colleagues, and knowledge is shared to elevate the entire team's capabilities.

  • Data-Informed Decision Making: Decisions are supported by user research, analytics, and business metrics, fostering a culture of evidence-based design.

📝 Enhancement Note: The company culture appears to be a blend of a fast-paced, innovative tech environment with a strong emphasis on collaboration and employee well-being. The "freakishly friendly" descriptor suggests a unique approach to customer and internal interactions.

⚡ Challenges & Growth Opportunities

Challenges:

  • Rapidly Evolving AI Landscape: Staying abreast of and effectively integrating new AI tools and capabilities into the design workflow while maintaining control and quality.

  • Bridging Design and Code: Effectively managing the transition from design concepts to functional code prototypes and ensuring seamless integration with backend services.

  • Designing for AI Uncertainty: Developing intuitive and robust user experiences for features where AI outputs may be unpredictable or require human oversight.

  • Balancing Innovation with Enterprise Needs: Integrating cutting-edge design practices and AI technologies within the structured requirements of enterprise ERP software.

  • Cross-functional Alignment: Ensuring consistent understanding and buy-in for advanced design methodologies (like code prototyping and AI integration) across different departments.

Learning & Development Opportunities:

  • AI Design Specialization: Become a leader in AI-augmented product design, exploring new tools, techniques, and best practices.

  • Advanced Prototyping Skills: Hone skills in building functional prototypes using code, potentially expanding into front-end development best practices.

  • Enterprise Software Domain Expertise: Gain deep knowledge of the ERP industry and the specific needs of Acumatica's customer base.

  • Leadership Development: Opportunities to mentor junior designers, lead design initiatives, and contribute to strategic product decisions.

  • Industry Exposure: Potential to attend industry conferences, workshops, and training sessions related to UX, AI, and enterprise software.

📝 Enhancement Note: The challenges presented are directly tied to the innovative aspects of the role, particularly AI integration and code-based prototyping. These challenges also represent significant opportunities for professional growth and skill development.

💡 Interview Preparation

Strategy Questions:

  • "Describe a complex B2B workflow you've designed from end-to-end. How did you approach modeling its system behavior, including edge cases and potential AI interactions?"

  • "Walk me through a project where you built a functional code prototype. What tools did you use, how did it benefit the development process, and how did you ensure UI/data logic separation?"

  • "How would you design an interface for a feature that relies on AI-generated output, and what mechanisms would you implement to handle uncertainty, ensure user trust, and allow for human intervention?"

  • "How do you integrate accessibility (WCAG standards) into your design process from the initial stages, and can you share an example of how you've applied this?"

  • "Describe your experience with design systems and managing design tokens. How do you ensure consistency between design artifacts and coded components, especially when using AI assistance?" Company & Culture Questions:

  • "What interests you about Acumatica and our cloud ERP solutions, particularly in the context of AI integration into product design?"

  • "How do you foster collaboration within a cross-functional team, especially when introducing new design methodologies like code prototyping?"

  • "How do you approach mentoring junior designers and contributing to a positive team culture?"

  • "Given our 'freakishly friendly' culture, how do you see your design approach contributing to positive user and internal stakeholder experiences?" Portfolio Presentation Strategy:

  • Start with the "Why": For each case study, clearly articulate the business problem and user need.

  • Show, Don't Just Tell: Use visuals, diagrams, and especially working prototypes or code snippets to demonstrate your process and solutions.

  • Quantify Impact: Whenever possible, present metrics that demonstrate the positive business outcomes of your design work (e.g., improved conversion rates, reduced error rates, increased adoption).

  • Detail Your Role: Be explicit about your specific contributions, especially in areas like AI integration, code prototyping, and cross-functional collaboration.

  • Explain AI & Code Integration: Dedicate time to explaining how you used AI tools and built code prototypes, detailing the technical aspects and benefits.

  • Address Accessibility: Integrate your approach to accessibility throughout your case studies or dedicate a specific section to it.

  • Be Prepared for Deep Dives: Anticipate detailed questions about your decision-making process, trade-offs considered, and how you handled challenges.

📝 Enhancement Note: Interview preparation should focus on demonstrating practical skills in AI-assisted design and code prototyping, alongside traditional UX expertise. Candidates need to be ready to articulate their process, justify their decisions with data and user insights, and showcase their ability to collaborate effectively in an enterprise software environment.


📌 Application Steps

To apply for this Senior Product Designer position at Acumatica:

  • Submit Your Application: Navigate to the application link provided and complete the online application form with your updated resume.

  • Curate Your Portfolio: Select 2-3 of your strongest projects that best showcase your experience with complex B2B/enterprise workflows, end-to-end ownership, AI-assisted design, and functional code prototyping. Ensure your portfolio clearly highlights your contributions and the business impact of your work.

  • Tailor Your Resume: Optimize your resume to include keywords relevant to product design, UX, AI, prototyping, enterprise software, B2B, accessibility, and version control (e.g., Figma, BitBucket). Emphasize quantifiable achievements and your 5+ years of relevant experience.

  • Prepare Your Presentation: Practice walking through your selected portfolio case studies. Be ready to discuss your design process, the specific tools and methodologies used (especially AI and code prototyping), the challenges you faced, and the measurable outcomes.

  • Research Acumatica: Familiarize yourself with Acumatica's cloud ERP solutions, their target market, their company culture (collaborative, high-energy, values work/life balance), and recent developments like the Vista Equity Partners acquisition. Understand how your skills align with their mission and technological direction.

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

Application Requirements

Candidates must have at least 5 years of product design experience with a portfolio demonstrating ownership of complex B2B or enterprise workflows. Proficiency in AI-assisted prototyping tools, accessibility standards, and the ability to bridge design with technical implementation is required.