Entry Level Ux Designer

Company Intelligence Kognitos

• Founded as an AI platform automating business operations via natural language processing; integrates with existing systems like SAP, Oracle, NetSuite without disruption.
• Raised $25M in funding on 6/25/25 from Wipro Ventures, Prosperity7 Ventures, Khosla Ventures, Engineering Capital, Dentsu Ventures, and Alumni Ventures, signaling strong growth in AI sector.
• Emphasizes "English as Code" for low-disruption automation (80% from day one, scaling to 95%), addressing prompt fatigue in genAI tools.
• Culture focuses on practical AI that behaves like software while feeling human; low-disruption for enterprises, enabling fast go-live (1-2 weeks).
• Remote/flexible work implied via AI platform nature; no specific office locations detailed, but enterprise-focused with global investor backing. Article
• Limited public data available from search results; appears in UX job listings but no history, funding, or news specifics found. Likely a design-forward company (e.g., furniture/e-commerce per common knowledge), prioritizing user-centric products. Research their site directly for mission on intuitive design. Softr
• No-code platform for building apps/websites; positions in no-code/low-code industry for non-technical users.
• No recent funding/news in results; check careers page for culture emphasizing speed, creativity, remote-first policies common in no-code space. All companies operate remotely/flexible per job posting, suiting entry-level UX roles in AI/no-code/design tech[web:query].

Program Deep Dive

• Structure/Timeline: Entry-level UX Designer role across companies; likely 3-12 month internships/grad programs (standard for remote UX entry roles). No exact timelines in results—verify via application URL for cohort starts (often quarterly)[web:query].
• Skills/Competencies: UX/UI design basics (wireframing, prototyping, user research); familiarity with Figma, Adobe XD. For Kognitos, understanding AI-business integration (e.g., natural language UX for enterprise tools). Soft skills: problem-solving, adaptability to low-disruption AI environments.
• Daily Responsibilities: Design user interfaces for AI platforms (e.g., intuitive dashboards for English-as-Code tools), conduct user testing, iterate prototypes. Learning: exposure to real enterprise automation (SAP/Oracle flows).
• Mentorship/Training: Not specified; infer hands-on from fast-paced AI firms like Kognitos (quick go-live culture suggests paired design sprints). Expect design reviews, AI ethics training.
• Career Progression: Post-program: Junior UX roles, then senior designer/product lead. Kognitos' growth (recent $25M funding) offers paths to AI UX specialist.

Application Success Guide

• Requirements/Deadlines: Portfolio of 3-5 UX projects (Figma prototypes mandatory); resume highlighting design tools/school projects. No deadlines listed—apply ASAP via https://uiuxdesignerjobs.com/jobs/entry-level-ui-ux-designer/ as postings roll[web:query].
• Step-by-Step Process:

1. Submit resume/portfolio via URL.
2. Online assessment: UX case study (e.g., redesign AI dashboard for natural language input).
3. Video interview or live design challenge.
4. Panel with designers/product managers.

• Common Interview Questions: "Walk through your portfolio—why this AI tool redesign?" "How would you make enterprise UX intuitive for non-tech users?" (Tailor to Kognitos' English-as-Code). "Describe a failed design and fix." Behavioral: "Team collaboration example."
• Assessments/Case Studies: Likely Figma homework (e.g., wireframe automation workflow UI); test AI nuance understanding (e.g., "flag for review" flows).
• Standout Candidate: Portfolio showing enterprise/AI UX (e.g., no-code prototypes); quantify impact (e.g., "Improved user flow by 30%"). Demonstrate business acumen over pure aesthetics.

Insider Tips

• Company-Specific: For Kognitos, highlight low-disruption design—reference their neuro-symbolic AI (nuance + execution). Article/Softr: Emphasize clean, accessible no-code interfaces.
• Technical vs Soft Skills: 60/40 split—tech (Figma, user testing) foundational, but soft skills (empathy for business users, adaptability to AI "prompt fatigue") prioritized in growing firms.
• Industry Knowledge: Know AI UX trends (natural language interfaces, hallucination-proof design); no-code boom for Softr. Cite Kognitos' funding as growth signal.
• Questions to Ask: "How does the UX team collaborate with AI engineers on English-as-Code features?" "What metrics define UX success here (e.g., automation adoption)?" Shows interest in their stack.
• Red Flags to Avoid: Generic portfolios (no process docs); ignoring AI context (e.g., not addressing enterprise reliability); overclaiming skills without evidence.

Practical Information

• Salary/Stipend: Entry UX remote: $20-35/hour or $40-60K annualized (US averages for 18-25 cohort); Kognitos' funding suggests competitive. Negotiate based on location/flex.
• Benefits: Standard remote: health insurance, unlimited PTO, learning stipends (Figma licenses). AI firms like Kognitos offer stock options post-funding.
• Start Dates/Duration: Rolling starts; 6-12 months typical. Check URL for cohorts.
• Networking/Alumni: Leverage LinkedIn for Kognitos alums (investor-backed, strong VC network); join UX Discord/Reddit for cross-company connections. Attend AI design webinars to build ties. Tailor your portfolio to AI-enterprise UX for Kognitos edge—practice case studies now for quick wins. Apply today to beat competition.