Forward Deployed Product Designer
π Job Overview
Job Title: Forward Deployed Product Designer
Company: Scale AI
Location: New York, NY; Washington, DC
Job Type: Full-Time
Category: Product Design / GTM Operations
Date Posted: 2026-08-14
Experience Level: Senior/Staff (10-15 years)
Remote Status: On-site
π Role Summary
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Lead product design for Scale's Public Sector business unit, focusing on mission-critical AI-powered decision support tools for government and defense customers.
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Own the end-to-end design process for core workflows, from ambiguous requirements to deployable customer-facing experiences, in close partnership with Product Management.
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Operate in a "forward-deployed" capacity, working directly on-site with government and defense clients to build trust and secure stakeholder buy-in without direct managerial oversight.
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Design complex, data-dense workflows including dashboards, mapping interfaces, alerting systems, and analytical reporting tools, ensuring user adoption and operational effectiveness.
π Enhancement Note: This role is highly specialized within product design, with a strong emphasis on Go-To-Market (GTM) operations due to its forward-deployed nature and direct client engagement. The "forward-deployed" aspect is critical, indicating a need for significant autonomy, client-facing skills, and the ability to influence without direct authority, mirroring GTM strategies. The focus on government and defense clients also implies a need for understanding complex procurement cycles, security protocols, and the unique challenges of this sector.
π Primary Responsibilities
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Drive the complete design lifecycle for customer-facing government/defense product experiences, translating undefined requirements into wireframes, high-fidelity mockups, and interactive prototypes.
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Act as a peer to Product Managers from project inception, actively shaping product strategy and requirements rather than receiving them at a handoff stage.
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Build direct client relationships and confidently present and socialize design decisions with senior government and defense stakeholders during on-site engagements.
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Develop user interfaces for complex, data-intensive workflows, including advanced dashboards, sophisticated mapping applications, real-time alerting systems, and detailed analytical reporting tools.
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Collaborate closely with engineers on front-end development, moving beyond static mockups to actively contribute to the refinement and implementation of the shipped product.
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Contribute design assets and interaction patterns to the broader Scale platform, ensuring consistency and reusability across various accounts and projects.
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Support the growth of the design team by participating in portfolio reviews and candidate interviews, helping to scale this critical function.
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Navigate and define highly ambiguous customer requirements, a common characteristic of early-stage government and enterprise engagements.
π Enhancement Note: The responsibilities highlight a blend of core product design execution and strategic GTM influence. The "forward-deployed" nature implies responsibilities beyond typical design, including customer education, requirements definition, and acting as a design ambassador within client organizations. The emphasis on working "directly in code alongside engineers" suggests a need for a strong understanding of technical constraints and the ability to contribute to implementation, blurring lines between design and development support.
π Skills & Qualifications
Education: No specific degree mentioned, but a strong portfolio and demonstrable experience are paramount.
Experience: 10β15 years of comprehensive design experience across diverse settings and problem types, with a focus on senior/staff-level ownership of B2B or enterprise product experiences.
Required Skills:
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End-to-end product design ownership for B2B or enterprise-level applications.
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Proven ability to manage and thrive in environments with high ambiguity and evolving requirements, typical of government or complex enterprise projects.
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Expertise in designing complex user interfaces for data-dense workflows, including dashboards, mapping interfaces, and/or similar data-heavy applications.
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Strong client-facing presence with demonstrated confidence in presenting to and influencing senior stakeholders in person.
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Working understanding of front-end development principles and best practices for design handoff, with comfort collaborating directly with engineers on code.
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Willingness and ability to travel regularly to customer sites for on-site engagements. Preferred Skills:
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Prior experience in a client-facing role specifically involving direct presentations to senior leadership.
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Familiarity with AI/ML tools and practical experience integrating AI into personal design workflows to enhance productivity and output.
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Experience contributing to or leading the development of design systems or shared interaction patterns across multiple products or teams.
π Enhancement Note: The experience requirement (10-15 years) clearly positions this as a Senior/Staff level role, demanding deep expertise and a track record of independent ownership. The emphasis on "client-facing presence" and "working directly in code" suggests a hybrid role that bridges product design, client success, and technical implementation support, aligning closely with GTM functions that require deep product understanding and direct client interaction.
π Process & Systems Portfolio Requirements
Portfolio Essentials:
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Showcase end-to-end design ownership for complex B2B or enterprise product experiences.
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Demonstrate experience designing data-dense workflows, dashboards, mapping interfaces, or similar complex UIs.
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Include case studies that highlight your ability to navigate ambiguous requirements and define problems in collaboration with stakeholders.
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Present examples of direct client engagement, stakeholder management, and influencing senior decision-makers.
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Provide evidence of collaboration with engineering teams, including design handoffs and contributions to implementation. Process Documentation:
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Illustrate your process for translating ambiguous problems into defined design solutions, detailing how you gather information and define requirements.
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Detail your approach to user research and stakeholder interviews, particularly in client-facing scenarios where direct interaction is key.
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Showcase your methodology for iterative design, prototyping, and user testing, especially within enterprise or government contexts.
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Demonstrate how you contribute to or leverage design systems and ensure consistency across complex product suites.
π Enhancement Note: Given the "forward-deployed" and "client-facing" nature of this role, a portfolio that emphasizes process, problem-solving in ambiguous contexts, and direct stakeholder collaboration will be crucial. Demonstrating the ability to "work directly in code" might also be a valuable addition to portfolio case studies, showing practical implementation skills.
π΅ Compensation & Benefits
Salary Range:
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New York, NY & Washington, DC: $230,000 - $270,000 USD per year
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Explanation: This range is for a Senior/Staff level Product Designer role in high cost-of-living areas. The salary is based on the provided pay transparency information from Scale AI, reflecting the typical compensation for experienced design professionals in these major metropolitan areas, considering the specialized nature of government/defense work and the forward-deployed client-facing responsibilities.
Benefits:
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Comprehensive health, dental, and vision coverage.
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Retirement benefits.
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Learning and development stipend to foster continuous skill enhancement.
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Generous Paid Time Off (PTO) policy.
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Commuter stipend, potentially enhancing on-site work feasibility.
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Equity compensation, subject to Board of Director approval, offering long-term incentive potential.
Working Hours: Approximately 40 hours per week, with the understanding that client-facing and project-driven work may require flexibility.
π Enhancement Note: The salary range is explicitly provided by the company and is competitive for senior-level design roles in major US cities, especially considering the specialized nature of the work and the forward-deployed client engagement. The inclusion of equity compensation suggests potential for significant long-term financial upside.
π― Team & Company Context
π’ Company Culture
Industry: Technology (AI & Data Solutions), Government & Public Sector.
Company Size: Scale AI is a significant player in the AI data space, indicated by its funding and partnerships. While exact employee count isn't specified here, roles requiring "Senior/Staff" and "growing the design team" suggest a mature but rapidly expanding organization.
Founded: Scale AI was founded in 2016, positioning it as a well-established but still relatively young and agile technology company.
Team Structure:
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The design team is growing, implying opportunities for influence and shaping processes.
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This role operates within the Public Sector business unit, indicating a specialized focus.
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The "forward-deployed" model means designers will work directly with external government and defense customers, requiring strong autonomy and cross-functional collaboration with Product and Engineering teams within Scale.
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Collaboration is expected with Product Managers from day one and engineers on implementation. Methodology:
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Focus on AI-powered decision support and mission-critical tools.
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Emphasis on translating ambiguous requirements into tangible, deployable customer-facing experiences.
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Commitment to direct customer engagement and building trust through on-site presence.
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Integration of design with engineering for effective implementation.
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Contribution to a broader platform design system.
Company Website: scale.com
π Enhancement Note: Scale AI's focus on AI data solutions and its expansion into the Public Sector with mission-critical tools suggest a culture that values innovation, technical excellence, and impact. The "forward-deployed" model indicates a client-centric approach and a need for adaptable, self-sufficient individuals.
π Career & Growth Analysis
Operations Career Level: Senior/Staff Product Designer. This level signifies a high degree of autonomy, strategic influence, and ownership. The role is expected to lead design initiatives, mentor junior colleagues (through reviews/interviews), and contribute to the overall design strategy and system.
Reporting Structure: While not explicitly stated, a Senior/Staff designer in a growing function often reports to a Design Lead, Head of Design, or potentially a senior Product leader, with significant direct interaction with Product Managers and Engineering leads for their assigned product area. The "no manager present" aspect of client interactions highlights the need for independent decision-making.
Operations Impact: This role has a direct and significant impact on Scale AI's success in the Public Sector. By designing user-friendly, effective AI decision-support tools, this designer will enable government and defense customers to make better, faster decisions, directly contributing to mission success and strengthening Scale AI's reputation and revenue in this critical market.
Growth Opportunities:
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Specialization: Deepen expertise in designing for government/defense sectors and AI/ML applications.
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Leadership: Grow into a Design Lead or Principal Designer role within the Public Sector or broader organization, potentially managing a team or setting design strategy.
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Technical Acumen: Enhance front-end development collaboration skills, potentially leading to more hybrid design/engineering contributions.
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Systemic Impact: Influence and expand Scale AI's design system and core interaction patterns.
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Mentorship: Formalize mentorship through team growth and leadership responsibilities.
π Enhancement Note: The Senior/Staff designation and the emphasis on "forward-deployed" client work suggest a high-impact role with significant career growth potential. The opportunity to shape a function within a growing business unit and work on cutting-edge AI for critical applications offers substantial development pathways.
π Work Environment
Office Type: On-site. This role requires regular presence at customer sites, which are typically government or defense facilities, and potentially a Scale AI office location for collaborative work sessions.
Office Location(s): New York, NY; Washington, DC. Candidates should be prepared to travel regularly to client locations within these regions and potentially beyond.
Workspace Context:
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The work environment will be a blend of client sites and potentially Scale AI offices.
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Collaboration will be highly dynamic, involving direct interaction with government/defense personnel, Scale Product Managers, and Engineers.
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Access to Scale AI's internal design tools and potentially client-specific technology stacks will be necessary.
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The environment demands adaptability, discretion, and the ability to build rapport quickly with diverse stakeholders.
Work Schedule: Standard full-time hours (approx. 40 hours/week) are expected, but the forward-deployed nature and client engagements may necessitate flexibility to meet project deadlines and customer needs.
π Enhancement Note: The "forward-deployed" aspect is the defining characteristic of the work environment. This implies a need for high adaptability, self-management, and the ability to operate effectively in external, potentially sensitive, client environments. Regular travel to customer sites is a non-negotiable component.
π Application & Portfolio Review Process
Interview Process:
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Initial Screening: Review of resume and portfolio to assess experience alignment with the Senior/Staff level and forward-deployed client-facing requirements.
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Portfolio Presentation: A deep dive into selected case studies, focusing on design process, problem-solving, ambiguity navigation, and client engagement. Expect to discuss your role, challenges, and outcomes in detail.
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Design Challenge/Workshop: Potential for a hands-on design exercise or a collaborative workshop simulating client requirements or complex workflow design. Focus will be on your approach to problem-solving and ideation.
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Cross-functional Interviews: Meetings with Product Managers and Engineers to assess collaboration style, technical understanding, and ability to work with code.
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Stakeholder/Leadership Interviews: Discussions with senior leadership to evaluate strategic thinking, client-facing confidence, and cultural fit within Scale AI and the Public Sector unit.
Portfolio Review Tips:
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Highlight Ambiguity: Showcase projects where requirements were unclear or evolving, detailing your process for definition and solutioning.
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Emphasize Client Interaction: Include examples of direct client work, presentations, and how you managed stakeholder expectations and buy-in.
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Demonstrate Data-Density Design: Feature projects involving complex data visualization, dashboards, or analytical interfaces.
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Showcase Technical Collaboration: Include work where you collaborated closely with engineers or had a hand in implementation details.
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Process Over Polish: While high-fidelity mockups are important, focus on explaining your thought process, design decisions, and the impact of your work.
Challenge Preparation:
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Anticipate challenges related to designing for government/defense users, complex data, and high-stakes decision-making.
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Be prepared to articulate your design strategy for ambiguous problems and demonstrate how you would approach client requirements gathering on-site.
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Practice presenting your work concisely and persuasively, as if you were presenting to senior stakeholders.
π Enhancement Note: The interview process will heavily scrutinize the candidate's ability to operate autonomously in client-facing roles and handle complex, undefined problems. The portfolio review is critical for demonstrating these specific competencies.
π Tools & Technology Stack
Primary Tools:
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Design & Prototyping: Figma, Sketch, Adobe Creative Suite, InVision, or similar industry-standard tools for wireframing, high-fidelity mockups, and interactive prototyping.
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Collaboration: Tools for real-time collaboration, design handoff, and communication (e.g., Jira, Confluence, Slack).
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Front-end Development Collaboration: Familiarity with code repositories (e.g., Git) and understanding of front-end technologies (HTML, CSS, JavaScript) to facilitate collaboration with engineers.
Analytics & Reporting:
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While not explicitly a data analyst role, an understanding of how design impacts user behavior and product performance metrics will be crucial. Familiarity with analytics platforms (e.g., Google Analytics, Amplitude) or data visualization tools might be beneficial for understanding product usage. CRM & Automation:
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Experience with CRM systems is less likely to be a direct requirement for this design role, but understanding how customer data informs product development and sales cycles could be advantageous in a GTM context.
π Enhancement Note: The emphasis on working "directly in code alongside engineers" is a significant differentiator. Candidates should be prepared to discuss their technical proficiency and how they collaborate with developers, potentially even contributing to front-end code.
π₯ Team Culture & Values
Operations Values:
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Impact-Driven: A strong focus on delivering tangible results and mission success for government and defense clients.
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Autonomy & Ownership: Expectation of self-direction, initiative, and taking full ownership of design projects, especially in client-facing scenarios.
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Collaboration & Partnership: Close working relationships with Product and Engineering, and a commitment to building trust with external stakeholders.
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Adaptability & Resilience: Ability to thrive in ambiguous, fast-paced environments with evolving requirements and diverse client needs.
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Excellence & Innovation: Commitment to high-quality design and leveraging cutting-edge AI technology.
Collaboration Style:
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Highly collaborative, working as a peer with Product Managers and Engineers.
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Requires strong communication and interpersonal skills for effective client engagement and stakeholder management.
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Emphasis on building consensus and driving alignment in complex decision-making environments.
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Openness to feedback and iterative design processes, both internally and with clients.
π Enhancement Note: The "forward-deployed" nature inherently shapes the collaboration style, demanding proactive engagement, strong relationship-building, and the ability to represent Scale AI effectively in external settings.
β‘ Challenges & Growth Opportunities
Challenges:
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High Ambiguity: Navigating undefined customer requirements and rapidly evolving project scopes, common in government and defense contracts.
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Client-Facing Pressure: Directly engaging with senior stakeholders, managing expectations, and securing buy-in without a direct manager present.
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Technical Integration: Collaborating closely with engineers and potentially contributing to code requires a strong blend of design and technical understanding.
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Security & Compliance: Working within the constraints and requirements of government/defense sector projects.
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Scalability of Design: Contributing to a platform design system while also serving specific client needs.
Learning & Development Opportunities:
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Domain Expertise: Gaining deep knowledge of government and defense operations and how AI can support them.
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AI/ML Design: Expanding expertise in designing for AI-powered applications and workflows.
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Client Relationship Management: Developing advanced skills in stakeholder engagement and client advocacy.
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Technical Skill Enhancement: Deepening understanding of front-end development and code collaboration.
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Design Leadership: Opportunities to shape design practices and mentor others as the team grows.
π Enhancement Note: The challenges presented are directly tied to the unique aspects of the role β forward deployment, public sector clients, and close engineering collaboration. Growth opportunities are aligned with overcoming these challenges and deepening specialized expertise.
π‘ Interview Preparation
Strategy Questions:
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"Describe a time you had to design a complex workflow for a data-dense application. What was your process, and what were the key challenges?" (Focus on process, ambiguity, and data handling)
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"How would you approach gathering requirements from a government client whose needs are not clearly defined? What steps would you take to build trust and gain buy-in?" (Focus on client-facing skills, ambiguity, and stakeholder management)
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"Walk us through a project where you worked closely with engineers. How did you collaborate, and what was your contribution to the implementation?" (Focus on technical collaboration and code understanding) Company & Culture Questions:
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"What excites you about Scale AI's mission in the Public Sector, and why is AI decision support critical for government/defense?" (Demonstrate understanding of the company and market)
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"How do you approach working autonomously and making design decisions without direct managerial oversight, especially in client-facing situations?" (Assess independence and decision-making)
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"How would you contribute to building and evolving a design system for a platform serving diverse government clients?" (Assess strategic thinking and scalability) Portfolio Presentation Strategy:
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Structure for Impact: For each case study, clearly outline the problem, your role, the constraints, your process, the solution, and the impact.
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Quantify Where Possible: Use metrics to demonstrate the success of your designs, such as user adoption, efficiency gains, or improved decision-making.
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Emphasize Collaboration: Highlight how you partnered with Product and Engineering, and how you managed client feedback and buy-in.
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Articulate Technical Contributions: Be ready to discuss your involvement with front-end development and how you ensured implementable designs.
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Be Ready for Live Exercises: Practice thinking aloud and sketching solutions to hypothetical problems, simulating the on-site, high-ambiguity environment.
π Enhancement Note: Interview questions will probe for evidence of autonomy, client-facing maturity, technical understanding, and the ability to navigate complex, ambiguous problem spaces. Portfolio presentations must directly address these competencies.
π Application Steps
To apply for this Forward Deployed Product Designer position:
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Submit your application through the Scale AI careers portal.
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Tailor your resume to highlight experience with B2B/enterprise design, complex workflows, data-dense interfaces, and client-facing roles. Quantify achievements where possible.
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Curate your portfolio to showcase 2-3 strong case studies that demonstrate end-to-end ownership, ambiguity navigation, client engagement, and technical collaboration.
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Prepare to present your portfolio with a focus on your process, decision-making, and impact. Be ready to discuss your experience working directly with stakeholders and engineers.
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Research Scale AI's Public Sector initiatives and the challenges faced by government and defense organizations in adopting AI. Understand their mission and how your design skills can contribute to their success.
β οΈ 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 10β15 years of experience in senior or staff-level B2B/enterprise design, with a strong ability to navigate high ambiguity and complex data workflows. Proficiency in front-end development collaboration and a proven track record of presenting to senior stakeholders are essential.