Responsibilities:
● End-to-End Design Ownership: Oversee the complete design lifecycle for multiple,
sometimes overlapping, product features from research and concept ideation to
high-fidelity prototyping and final handoff. You will also produce detailed documentation
(annotated mockups, style guides) for smooth development handoffs and coordinate with
QA post-launch to gather user feedback and continuously refine the user experience.
● AI-friendly Design System Development: Contribute to the evolution of our design
system from our current experience into an AI-first experience, creating scalable
patterns, tokens, and workflows that can be prompted or extended by other designers.
● Front End Implementation: Understand design work into front-end components using
React, Tailwind CSS, or rapid prototyping tools such as Bolt, Lovable in a consistent way
and partner with engineers to align design intent and technical feasibility, ensuring
solutions are both elegant and efficient to implement.
● Advanced Prototyping & Interaction: Develop interactive prototypes showcasing
intricate user flows, micro-interactions, and motion elements that clarify and enhance the
user experience.
● Team Mentorship: Provide guidance to junior and mid-level designers, facilitate design
critiques, and foster a culture of feedback and continuous learning.
● Cross-Functional Collaboration: Cross-disciplinary skill sharing by organizing
workshops or pairing sessions with engineering, experimentation teams, and product
managers to broaden the team’s perspective.
● Documentation & Standards: Maintain system documentation covering tokens,
component behaviors, accessibility, and brand alignment.
● Design System Governance: Champion design consistency and scalability while
enabling experimentation and localization across products.
● AI Design Enablement: Explore how AI tools and generative workflows can accelerate
design exploration and empower other designers to create faster and smarter.
Requirements:
● At 5-8 years of experience in a Product Design or UI/UX Design role with an emphasis
on mobile-first, web-based, proactive conversion optimization and feature development.
● Should have experience with the basics of frontend engineering frameworks, React,
CSS, and pushing code to production.
● You care fiercely about crafting meaningful, impactful user experiences and continuously
level up your craft.
● Remote-first experience - at least one-two years thriving in a fully distributed team -
strong asynchronous communication habits and tooling fluency.
● Your work is grounded in ideation, well tested, and fundamentally driven by data.
Analyze both qualitative and quantitative data (e.g., heatmaps, user funnels, user
feedback, usage metrics) to refine product features and validate design hypotheses.
Familiarity with Google Analytics, Microsoft Clarity is a plus.
● Conduct or oversee in-depth usability tests, user interviews, and other research
activities, synthesizing findings into actionable design improvements.
● Experienced in structuring information and user journeys across diverse platforms (web,
mobile), balancing aesthetics with usability.
● Deep familiarity with maintaining and evolving large-scale component libraries, ensuring
brand consistency and accessibility.
● Ability to craft detailed animations and transitions that enhance user comprehension and
delight in moderately complex workflows.
● Comfortable iterating quickly in a fast-paced environment; you distill clarity and direction
from open-ended problems.
● You bring people together—articulate vision, build alignment, and foster cross-team
collaboration through inspiring narrative.
Must haves:
- Minimum of 5 - 8 years experience in a product design/UI/UX capacity
- Portfolio of at least 3-4 projects with clear design rationale and execution
- Timezone: IST, with flexibility to overlap for 2-3 hours with U.S. (EST) timezone
- Solid grasp of Figma
Nice to haves:
● Aptitude for AI-based workflows
● Experience with conversion optimization and feature development
● Experience with Google Analytics
Why Join Us
● Monthly long weekends — every third Friday off
● Wellness reimbursement to support your health and balance
● Paid parental leave
● Remote-first with flexibility and trust
● Work with a world-class data and marketing team inside a globally recognized brand
Minimum 5-8 years of experience in a Product Design or UI/UX Design role
Forbes Advisor is looking for a Data Research Engineer - Data Extraction to join the Forbes Marketplace Performance Marketing team with a focus on supporting one of Forbes business verticals. If you're looking for challenges and opportunities similar to those of a start-up, with the benefits of an established, successful company read on.We are an experienced team of industry experts dedicated to helping readers make smart decisions and choose the right products with ease. Marketplace boasts decades of experience across dozens of geographies and teams, including Content, SEO, Business Intelligence, Finance, HR, Marketing, Production, Technology and Sales. The team brings rich industry knowledge to Marketplace’s global coverage of consumer credit, debt, health, home improvement, banking, investing, credit cards, small business, education, insurance, loans, real estate and travel.The Data Extraction Team is a brand new team who plays a crucial role in our organization by designing, implementing, and overseeing advanced web scraping frameworks. Their core function involves creating and refining tools and methodologies to efficiently gather precise and meaningful data from a diverse range of digital platforms. Additionally, this team is tasked with constructing robust data pipelines and implementing Extract, Transform, Load (ETL) processes. These processes are essential for seamlessly transferring the harvested data into our data storage systems, ensuring its ready availability for analysis and utilization.A typical day in the life of a Data Research Engineer will involve acquiring and integrating data from various sources, developing and maintaining data processing workflows, and ensuring data quality and reliability. They collaborate with the team to identify effective data acquisition strategies and develop Python scripts for data extraction, transformation, and loading processes. They also contribute to data validation, cleansing, and quality checks. The Data Research Engineer stays updated with emerging data engineering technologies and best practices.
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