Staff Product Designer, Guest & Discovery

📍 Job Overview

Job Title: Staff Product Designer, Guest & Discovery

Company: Jobgether (Partner Company)

Location: United States

Job Type: Full-time

Category: Product Design / GTM Operations

Date Posted: 2026-08-12

Experience Level: Senior / Staff

Remote Status: Fully Remote

🚀 Role Summary

• Spearhead the end-to-end design of the guest discovery journey, encompassing search, filtering, results, maps, and AI-driven entry points within a dynamic digital marketplace.

• Drive the creation of cohesive and intuitive discovery experiences across multiple brands and platforms (web and mobile).

• Define and champion information hierarchies for search and results, effectively managing complex data states like missing information, variable pricing, and partial availability.

• Design interfaces that clearly present AI-inferred or predicted information, ensuring user understanding, trust, and straightforward correction mechanisms.

• Collaborate closely with Product Management and Engineering leads to shape structured data representations and product contracts that enable AI assistants to effectively summarize and present information.

• Champion a culture of rapid experimentation, measurable outcomes, accessibility, and strong design craft, with a focus on shipping impactful improvements swiftly.

📝 Enhancement Note: While this role is explicitly for a Product Designer, its focus on the "Guest & Discovery" aspect within a marketplace, particularly concerning how users find, compare, and book experiences, has significant overlap with Go-To-Market (GTM) operations. The design of discovery pathways directly influences user acquisition, conversion rates, and overall customer experience, which are core GTM objectives. Therefore, candidates with a strong understanding of user journeys, conversion funnels, and data-driven optimization within a marketplace context will be highly valued, mirroring the analytical and strategic thinking required in GTM operations roles.

📈 Primary Responsibilities

• Own the complete guest discovery lifecycle, from initial search queries and filtering refinement to map views, listing pages, organic search results, and AI assistant interactions.

• Develop coherent and consistent discovery experiences across various brand identities and user touchpoints, including web and mobile applications.

• Define and defend the optimal information hierarchy for search results and listing cards, considering diverse guest intents and real-world data complexities.

• Design user interfaces that ensure AI-inferred, ranked, or predicted information is presented transparently and understandably, with intuitive mechanisms for user correction.

• Partner with engineering teams to define structured data representations for experiences, offers, and operators, ensuring information utility across summary, quoted, and third-party AI assistant formats.

• Conduct continuous discovery research with both guests and operators to identify opportunities and validate design assumptions through appropriate research artifacts.

• Function as an integrated member of a product pod, collaborating with Product Managers and Engineering Tech Leads on problem framing, system design, and overall experience definition.

• Define key success metrics prior to launch and rigorously evaluate the impact of shipped experiences on customer behavior and business outcomes.

• Execute rapid, focused experiments to gather evidence for scaling, refining, or discontinuing product features.

• Deliver high-quality product improvements efficiently, ensuring all interaction states, accessibility requirements, and edge cases are thoroughly addressed before release.

• Foster cross-functional collaboration with engineering, support, pricing, and other departments to gain a holistic understanding of customer and business contexts.

• Integrate seamlessly with the existing design system, introducing new patterns only when they offer demonstrable value over established solutions.

• Uphold and maintain WCAG 2.1 AA accessibility standards across all designed product experiences.

• Contribute to overall design quality and team development through knowledge sharing, constructive critique, and mutual support among designers.

📝 Enhancement Note: The emphasis on "defining success metrics before launch and evaluating how shipped experiences affect measurable customer and business outcomes," along with "running rapid, focused experiments, using evidence to determine what should be scaled, refined, or discontinued," directly aligns with the core principles of Revenue Operations and GTM Operations. This role requires a data-driven approach to design, similar to how operations professionals use data to optimize sales processes, marketing campaigns, and customer success initiatives.

🎓 Skills & Qualifications

Education: A degree in Design, HCI, Information Architecture, or a related discipline is welcome but not strictly required. The quality of the portfolio and demonstrated shipped, measured work will be prioritized over formal education.

Experience: Significant experience is required, with a strong emphasis on owning search, browse, or discovery experiences within a two-sided marketplace environment. This includes demonstrated expertise in relevance surfaces, faceted filtering, pricing and availability displays, map/list integrations, or comparison flows.

Required Skills:

• Proven track record of owning complex product design challenges within marketplace discovery functions.

• Demonstrated ability to design high-information interfaces with clear, defensible information hierarchies and strong visual and typographic craft.

• Experience designing products or interfaces powered by systems that infer, rank, recommend, or predict, including communicating system state and confidence, and designing effective correction paths.

• A well-articulated perspective on the evolution of search and discovery in AI-driven environments, including understanding appropriate use cases for conversational interfaces.

• Strong systems-thinking skills, with the ability to reason about entities, states, edge cases, data structures, and product contracts in collaboration with technical partners.

• Experience conducting direct customer research through interviews, discovery sessions, support interactions, or other methodologies.

• Robust analytical and problem-solving skills, with the ability to link design decisions to measurable customer and commercial outcomes.

• Comfort and proactivity in environments with undefined requirements, where designers are expected to identify opportunities and shape problems independently.

• Excellent collaboration and communication skills, with the ability to influence product and engineering decisions without formal authority.

• Experience working within established design systems and applying accessibility standards such as WCAG 2.1 AA.

• Experience working in fast-moving product environments where small, finished increments are shipped frequently. Preferred Skills:

• Familiarity with AI tools within the design workflow.

• Knowledge of search relevance, structured data, schema, third-party AI assistant surfaces, travel, hospitality, or local-services search domains.

• Experience with AI-powered matching processes for candidate evaluation, as used by Jobgether.

📝 Enhancement Note: The "Requirements Summary" highlights a need for candidates with a strong portfolio and demonstrated ability to connect design decisions to measurable outcomes. This emphasizes a data-driven and results-oriented approach, which is fundamental in Revenue Operations and Sales Operations. The ability to quantify the impact of design choices mirrors the operational focus on ROI, efficiency gains, and pipeline optimization.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Showcase two to three detailed case studies demonstrating substantial ownership of complex product design problems within discovery or marketplace contexts.

• Each case study should clearly articulate:

  • The problem statement and its business/user impact.
  • The research and discovery process undertaken.
  • Iterative design explorations and the rationale behind key decisions.
  • Trade-offs considered and made.
  • The shipped work and its visual and functional representation.
  • Measurable outcomes and impact, supported by data where possible.

• Evidence of designing for AI-driven systems, including how inferred information was made transparent and how correction paths were implemented.

• Examples of defining and defending information hierarchies in complex data scenarios.

• Demonstrations of strong visual and typographic craft, as well as interaction design for high-information interfaces.

• Proof of adherence to accessibility standards (WCAG 2.1 AA) and integration with design systems.

• Inclusion of both successful and unsuccessful work to demonstrate thoughtful experimentation, learning, and decision-making. Process Documentation:

• Case studies should implicitly document the design process, from problem framing and user research to iteration, testing, and launch.

• Highlight the designer's role in defining success metrics and evaluating post-launch performance.

• Showcase the ability to work within an agile, iterative development cycle, including rapid experimentation and focused A/B testing.

• Detail how collaboration with Product Management and Engineering partners shaped the process and product.

📝 Enhancement Note: The explicit requirement for case studies that demonstrate "measurable outcomes" and "shipped work" is directly analogous to the portfolio expectations for Revenue Operations and Sales Operations professionals. Operations roles often require demonstrating impact through metrics, process improvements, and ROI, making a portfolio that quantifies results essential.

💵 Compensation & Benefits

Salary Range: As this is a Staff-level Product Designer role based in the United States, and considering the company's focus on rapid experimentation and high impact, a competitive salary range is expected. Based on industry benchmarks for Staff Product Designers in tech companies in the US, the estimated annual salary range is $170,000 - $230,000 USD. This range can vary based on specific location within the US, candidate experience, and negotiation.

Benefits:

• Fully remote position within the United States, offering flexibility and work-life balance.

• High collaboration and significant working-hour overlap with U.S. Eastern Time, ensuring seamless teamwork.

• Opportunity to join a dedicated five-person design team and serve as the primary designer within a cross-functional product pod.

• Direct partnership with product management and engineering leadership, fostering influence and strategic input.

• High ownership over a strategically critical guest discovery experience, allowing for significant impact.

• Fast-paced environment enabling rapid iteration and shipment of meaningful product improvements from concept to production in days, not quarters.

• Opportunity to tackle emerging challenges at the intersection of product discovery, AI, structured information, and marketplace dynamics.

• Strong emphasis on design quality, accessibility, experimentation, customer understanding, and measurable impact, aligning with best practices in product development.

• Exposure to a broad spectrum of product, commercial, technical, and customer-facing challenges.

• A collaborative culture that encourages open dialogue, constructive challenge of assumptions, expertise sharing, and mutual support among designers and cross-functional partners.

Working Hours: While the exact daily schedule is flexible given the remote nature, candidates are expected to provide significant working-hour overlap with U.S. Eastern Time to facilitate effective collaboration with product and engineering teams. A standard full-time commitment of approximately 40 hours per week is anticipated.

📝 Enhancement Note: The salary estimate is based on typical Staff Product Designer compensation in the US tech market, factoring in the remote nature and the company's implied size and stage (operating a marketplace and leveraging AI). The benefits listed are directly extracted from the job description and highlight aspects attractive to senior operational and design talent, such as autonomy, impact, and a fast-paced environment. The working hours note emphasizes the need for alignment with US East Coast teams, a common requirement for remote roles supporting US-based operations.

🎯 Team & Company Context

🏢 Company Culture

Industry: The company operates within the digital marketplace sector, likely focusing on experiences, travel, hospitality, or local services, given the "Guest & Discovery" focus. This industry is characterized by a strong emphasis on user acquisition, conversion optimization, and sophisticated data management to facilitate transactions between buyers and sellers. The role's focus on AI integration suggests a forward-thinking approach to leveraging technology for enhanced user experience and operational efficiency.

Company Size: As a partner company managing applications through Jobgether, the exact size is not specified. However, the presence of a dedicated five-person design team and the ability to operate product pods with dedicated PMs and engineering leads suggests a mid-sized to large tech organization with established product development processes and investment in design.

Founded: The founding date is not provided. However, the company's engagement with AI and focus on evolving discovery experiences implies a relatively modern operational approach, likely founded within the last decade or actively modernizing its platform.

Team Structure:

• The design team consists of five individuals, with this role being the dedicated designer for a specific product pod. This indicates a lean but impactful design function.

• The role operates within a "product pod," a common agile structure comprising a Product Manager, Engineering Lead, and this Staff Product Designer, fostering close collaboration and shared ownership.

• Cross-functional collaboration is a key aspect, requiring engagement with engineering, support, pricing, and potentially other business functions to ensure holistic product success. Methodology:

• Data Analysis & Insights: The role requires a strong focus on analyzing user behavior and business outcomes to inform design decisions and measure impact.

• Workflow Planning & Optimization: Designers are expected to identify opportunities and independently shape product problems, implying a proactive approach to workflow design and optimization within the discovery funnel.

• Automation & Efficiency: The context of AI-driven environments and rapid experimentation suggests an appreciation for leveraging automation and efficient processes to achieve measurable results quickly.

Company Website: https://jobgether.com/ (Note: This is the platform facilitating the application; the actual partner company's website is not explicitly linked but would be the primary domain for the role.)

📝 Enhancement Note: The description of the company's industry and its focus on AI and marketplaces strongly aligns with the operational goals of GTM and Revenue Operations. Enhancing discovery is a direct driver of lead generation and sales pipeline growth. The product pod structure is typical in agile tech companies and requires strong operational coordination between design, product, and engineering.

📈 Career & Growth Analysis

Operations Career Level: This is a Staff Product Designer role, indicating a senior individual contributor position. Staff-level designers are expected to operate with a high degree of autonomy, tackle ambiguous and complex problems, and influence product strategy and team direction. They are often mentors to more junior designers and play a significant role in shaping the design system and best practices. In an operations context, this translates to owning critical processes, driving strategic initiatives, and mentoring operational specialists.

Reporting Structure: The designer will be an integrated member of a product pod, reporting functionally to design leadership (likely a Head of Design or Design Manager) while working daily with a Product Manager and Engineering Tech Lead. This structure emphasizes collaboration and shared accountability within the pod.

Operations Impact: The role has a direct and significant impact on critical business and GTM metrics. By optimizing the guest discovery journey, the designer influences:

• User Acquisition: Making it easier for new users to find relevant offerings.

• Conversion Rates: Improving the efficiency of search, filtering, and comparison to drive bookings.

• Customer Satisfaction: Enhancing the user experience and trust in AI-generated information.

• Revenue Growth: Directly contributing to increased bookings and marketplace activity.

• Operational Efficiency: Designing systems that reduce manual effort for operators and improve data quality.

Growth Opportunities:

• Operations Skill Development: Deepen expertise in designing for AI-driven systems, complex marketplaces, and information architecture, directly applicable to optimizing GTM strategies.

• Leadership & Mentorship: Opportunity to mentor junior designers and influence design methodologies and team development, mirroring leadership growth in operations.

• Strategic Influence: Shape the direction of critical product surfaces and contribute to the evolution of discovery experiences in an AI-first world, akin to driving strategic operational initiatives.

• Cross-Functional Exposure: Gain comprehensive understanding of product, engineering, commercial, and customer support functions, broadening operational perspective.

• Specialization: Develop deep expertise in marketplace dynamics, search relevance, and AI integration, becoming a go-to expert in these areas.

📝 Enhancement Note: The "Operations Impact" section directly links design's function to revenue and GTM metrics, framing the role's significance in operational terms. The "Growth Opportunities" are tailored to parallel career progression in operations, emphasizing strategic influence, mentorship, and specialization.

🌐 Work Environment

Office Type: This position is advertised as a "Fully remote position within the United States." This signifies a distributed workforce where team members collaborate digitally.

Office Location(s): While the role is remote, there is a requirement for significant working-hour overlap with U.S. Eastern Time. This suggests that while employees can be located anywhere in the US, they will need to align their working hours with teams based in or operating from the Eastern Time Zone to ensure effective real-time collaboration.

Workspace Context:

• Collaborative Environment: The emphasis on working within a product pod and collaborating across teams indicates a dynamic and interactive digital workspace, utilizing various communication and collaboration tools.

• Operations Tools & Technology: While specific tools are detailed later, the environment supports designers in utilizing advanced design software, prototyping tools, and potentially AI-assisted design applications. Access to data and analytics platforms for measuring impact is also implied.

• Team Interaction: Regular virtual meetings, design critiques, brainstorming sessions, and direct communication via chat and video conferencing will be central to team interaction.

Work Schedule: The role is full-time, with approximately 40 hours per week expected. The flexibility of a remote role is balanced by the need for significant overlap with U.S. Eastern Time working hours to ensure effective real-time collaboration and participation in team activities.

📝 Enhancement Note: The "Workspace Context" emphasizes the digital nature of the environment and the reliance on collaboration tools, which is typical for remote operations teams. The need for "significant working-hour overlap with U.S. Eastern Time" is a critical operational consideration for distributed teams.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: Likely involves an AI-powered matching process by Jobgether to assess core requirements, followed by a review by the partner company's hiring team.

• Portfolio Review: A critical stage where candidates present their case studies. Expect to walk through 2-3 projects, detailing problem, process, trade-offs, solutions, and outcomes. Be prepared to discuss your role and impact.

• Design Challenge/Exercise: May involve a practical design exercise or a take-home assignment related to discovery, search, or AI-driven interfaces to assess problem-solving skills and design approach.

• Cross-functional Interviews: Discussions with Product Management and Engineering leads to evaluate collaboration style, systems thinking, and ability to integrate into the product pod.

• Team/Culture Fit: Interviews with other designers or stakeholders to assess alignment with the company's values and collaborative culture.

• Final Round: Discussions with senior leadership to confirm strategic alignment and overall fit for the Staff role.

Portfolio Review Tips:

• Structure Your Narrative: For each case study, clearly articulate the problem, your specific contributions, the design process, challenges faced, trade-offs made, the final solution, and most importantly, the measurable outcomes and impact.

• Quantify Impact: Whenever possible, use data and metrics to demonstrate the success of your designs. Highlight improvements in conversion rates, user satisfaction, task completion times, or other relevant KPIs.

• Showcase Systems Thinking: Emphasize how you approached complex information hierarchies, data structures, and the integration of AI-inferred information. Discuss your collaboration with engineering on data contracts.

• Demonstrate Problem Framing: Highlight instances where you identified opportunities or shaped ambiguous problems independently, showcasing your proactive approach.

• Transparency in Iteration: Include examples of iterations, experiments, and even learnings from unsuccessful approaches to demonstrate a robust and learning-oriented design process.

• Accessibility & Design Systems: Clearly articulate your experience with and commitment to accessibility standards (WCAG 2.1 AA) and working within established design systems.

Challenge Preparation:

• Understand the Domain: Familiarize yourself with marketplace dynamics, search and discovery patterns, AI integration in user interfaces, and common challenges in these areas.

• Focus on Process: Be prepared to explain your thought process, not just the final output. How would you approach a given problem? What research would you conduct? What trade-offs would you consider?

• AI & Data: Anticipate questions about designing for AI-generated content, ensuring transparency, and handling data inaccuracies or user corrections.

• Collaboration: Think about how you would work with Product Managers and Engineers. How would you communicate your design rationale and influence decisions?

📝 Enhancement Note: The emphasis on "measurable outcomes," "quantifying impact," and "demonstrating problem framing" in the portfolio review tips directly mirrors the expectations for operations professionals who must demonstrate ROI and process efficiency. The interview preparation also includes aspects like understanding domain challenges and collaboration, which are crucial for operations roles.

🛠 Tools & Technology Stack

Primary Tools:

• Design & Prototyping Software: Proficiency in industry-standard tools such as Figma, Sketch, Adobe Creative Suite (Photoshop, Illustrator), and prototyping tools like Principle, InVision, or Framer is expected.

• AI Tools: Familiarity with AI tools in the design workflow is beneficial, suggesting potential use of AI-assisted design plugins, generative AI for ideation, or tools that analyze user data for insights.

• Collaboration Platforms: Extensive use of tools like Slack, Zoom, Google Workspace, or Microsoft Teams for daily communication, virtual meetings, and team collaboration.

Analytics & Reporting:

• Analytics Platforms: Experience with web and product analytics tools (e.g., Google Analytics, Amplitude, Mixpanel, Adobe Analytics) to track user behavior, measure feature adoption, and evaluate the impact of design changes.

• Data Visualization Tools: Ability to interpret data presented in dashboards and potentially create simple visualizations to communicate findings to stakeholders.

CRM & Automation:

• While not directly a CRM role, an understanding of how discovery interfaces feed into the broader customer journey and CRM systems is advantageous. Experience with tools that manage user data and customer interactions indirectly supports this.

• Integration Tools: Understanding how design decisions impact structured data and system integrations, particularly those involving AI assistants and third-party platforms.

📝 Enhancement Note: The mention of "AI tools in the design workflow" and the need to "shape structured representations of experiences, offers, and operators" indicates a technology stack that supports data-driven design and integration. This aligns with operations' reliance on technology for process automation, data management, and system integration.

👥 Team Culture & Values

Operations Values:

• Data-Driven Decision Making: A core value is likely the reliance on data and metrics to inform design decisions, validate hypotheses, and measure success, mirroring an operational commitment to quantifiable results.

• Customer Centricity: Deep understanding of user needs and behaviors, driven by continuous discovery and research, ensuring products solve real problems for guests and operators.

• Efficiency & Speed: Emphasis on rapid experimentation and shipping meaningful improvements quickly, reflecting an operational drive for agility and continuous optimization.

• Accessibility & Inclusivity: Commitment to designing experiences that are usable by everyone, adhering to WCAG 2.1 AA standards, which is a crucial aspect of inclusive operational practices.

• Collaboration & Transparency: Valuing open communication, constructive feedback, and shared ownership within product pods and across functional teams.

Collaboration Style:

• Integrated Pods: Working as a core member of a cross-functional product pod, fostering tight collaboration with Product Management and Engineering.

• Constructive Challenge: Encouraging a culture where assumptions are challenged constructively to arrive at the best solutions.

• Knowledge Sharing: Actively sharing expertise, design patterns, and learnings across the design team and with other departments.

• Experimentation Culture: Embracing a mindset of testing ideas, learning from results, and iterating rapidly.

📝 Enhancement Note: The "Operations Values" highlight principles like data-driven decision-making, efficiency, and customer-centricity, which are fundamental to successful Revenue and Sales Operations. The collaboration style emphasizes cross-functional synergy, a key operational requirement for aligning different departments towards common GTM goals.

⚡ Challenges & Growth Opportunities

Challenges:

• Designing for Ambiguity: Tackling complex, ill-defined problems within the discovery funnel and AI-driven environments, requiring strong problem-framing skills.

• Balancing User Needs with Business Goals: Optimizing discovery for both guest satisfaction and marketplace commercial objectives.

• Integrating AI Effectively: Designing interfaces that clearly communicate AI-generated information, build trust, and allow for user correction, while also shaping underlying data structures.

• Rapid Experimentation Cycles: Adapting to a fast-paced environment that requires quick iteration, testing, and deployment of features, demanding efficient design processes.

• Cross-Functional Influence: Driving consensus and product direction across Product, Engineering, and potentially other business units without relying solely on formal authority.

Learning & Development Opportunities:

• AI & ML Integration: Deepen expertise in designing for and understanding AI/ML-driven products and systems.

• Marketplace Dynamics: Gain in-depth knowledge of two-sided marketplace operations, user acquisition strategies, and conversion optimization techniques.

• Information Architecture & Systems Design: Hone skills in structuring complex data and designing scalable information hierarchies for large platforms.

• Product Strategy: Contribute to defining the strategic direction of critical product surfaces and influencing the company's approach to discovery experiences.

• Mentorship: Provide guidance and mentorship to other designers, developing leadership capabilities.

📝 Enhancement Note: The "Challenges" section emphasizes ambiguity, AI integration, and cross-functional influence, all of which are common themes in complex operational environments. The "Learning & Development Opportunities" highlight specialization in areas like AI, marketplace dynamics, and systems design, which are highly relevant for advancing in operational roles.

💡 Interview Preparation

Strategy Questions:

• "Describe a complex discovery or search problem you tackled in a marketplace. What was your approach, what were the trade-offs, and what were the measurable outcomes?" (Focus on problem framing, process, data, and impact.)

• "How would you design an interface to make AI-inferred information understandable and trustworthy for users? How would you handle cases where the AI is wrong?" (Focus on transparency, correction mechanisms, and AI interaction design.)

• "Walk us through your process for defining success metrics for a new discovery feature. How would you measure its impact on user acquisition and conversion?" (Focus on data-driven approach, KPI definition, and outcome measurement.) Company & Culture Questions:

• "How do you approach working within a fast-paced, experimental environment where you need to ship meaningful improvements quickly?" (Focus on agility, iteration, and efficiency.)

• "How do you collaborate with Product Managers and Engineers to shape product strategy and technical requirements for discovery features?" (Focus on cross-functional communication and influence.)

• "What is your perspective on the role of AI in evolving search and discovery experiences? Where do you see the biggest opportunities and challenges?" (Focus on strategic thinking and industry foresight.) Portfolio Presentation Strategy:

• Storytelling: Frame each case study as a narrative: the challenge, your journey to solve it, the solutions explored, and the impactful results.

• Quantify Everything: Wherever possible, present metrics that demonstrate the success or learnings from your work. Use charts and graphs to illustrate impact on KPIs.

• Show, Don't Just Tell: Visually showcase your iterative process, wireframes, prototypes, and final designs. Explain the rationale behind key design decisions.

• Highlight Systems Thinking: Explain how you considered data structures, edge cases, and the broader system when designing interfaces.

• Be Prepared for Deep Dives: Expect questions on specific design choices, research findings, and your collaboration with engineering partners.

📝 Enhancement Note: The "Strategy Questions" and "Portfolio Presentation Strategy" are designed to probe for operational competencies such as data-driven decision-making, process optimization, problem-solving under constraints, and quantifiable impact demonstration, aligning them with the skills required in operations roles.

📌 Application Steps

To apply for this Staff Product Designer position:

• Submit your application through the provided Jobgether link.

• Curate Your Portfolio: Select 2-3 of your most impactful projects, focusing on those that demonstrate ownership of complex discovery or marketplace challenges. Ensure each case study clearly outlines the problem, your process, trade-offs, shipped work, and measurable outcomes. Quantify impact with data wherever possible.

• Optimize Your Resume: Highlight experience relevant to marketplace design, AI-driven interfaces, systems thinking, and quantifiable results. Use keywords from the job description such as "discovery," "search," "marketplaces," "AI," "systems thinking," and "accessibility."

• Prepare Your Presentation: Practice walking through your portfolio case studies, emphasizing your problem-solving approach, iterative process, and the business impact of your design decisions. Be ready to discuss your role in shaping the product and collaborating with engineering.

• Research the Company & Role: Understand the Jobgether platform and the implications of applying through a partner company. Research the general landscape of AI in discovery and marketplaces to inform your interview discussions.

⚠️ 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.