Sprouts.ai
Website:
sprouts.ai
Job details:
Posted June 2026
Product Designer (AI-Native)
6-10 YearsFull-TimeBengaluru (preferred). Remote also considered.
Product / AI Leadership
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Sprouts.AI is an AI-native Generative Demand Platform redefining the $1.1T B2B Go-To-Market (GTM) category. We help demand-gen and sales teams generate qualified pipeline and close deals faster using real-time account and contact intelligence signals - and agentic AI execution.
We need a Product Designer (AI-Native) who has lived this distinction - someone who has designed products where AI is the core experience, not a feature. You will own the end-to-end design of how our AI agents, intelligence surfaces, and agentic workflows show up to users.
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What we are building
Our product is not a static SaaS dashboard. It is a living system of data, workflows, connectors, and AI agents - built to fix broken GTM ecosystems driven by dirty data, siloed tools, and static ICPs.
Every screen, every interaction, every data surface is shaped by AI agents working in real-time - not a traditional UI with AI bolted on top.
This is a foundational design leadership role. You will own the design system, define interaction patterns for agent-driven experiences, and shape the product's design philosophy from the ground up.
The kind of engineer we want
- Believes AI-native products require fundamentally different design thinking than traditional SaaS.
- Gets excited about designing for AI agents, not just for users clicking buttons.
- Sees themselves as a design leader who shapes product direction, not just someone who makes things pretty.
- Prefers ownership over narrow scope - wants to influence the full product experience.
- Can move fast while maintaining a high-quality bar.
- Likes building 0→1 design systems and patterns that become the foundation others build on.
- Is energized by the challenge of making complex AI outputs simple, trustworthy, and actionable.
What you will actually do
AI-Native Product Design
Own the design of Sprouts' core product surfaces: Account Intelligence, Cortex (our AI agent), intelligence dashboards, and agentic workflow interfaces. Design for AI-first interaction patterns: progressive disclosure of AI-generated content, confidence and uncertainty indicators, human-in-the-loop decision flows, and conversational interfaces.
Design System Ownership
Own and evolve the Sprouts Design System - the foundational design language, component library, interaction patterns, and AI-specific design tokens used across all products. Define reusable patterns for agent interactions, signal visualizations, data density layouts, and progressive intelligence disclosure.
Agent and Conversational UX
Design the interaction model for Cortex, our AI agent - how it communicates, recommends, asks for input, surfaces uncertainty, and hands off to human decision-makers. Define the UX for agentic workflows: multi-step AI-driven sequences where the user is a supervisor, not a button-clicker.
User Experience Excellence
Own the end-to-end user experience across personas: Account Executives, Sales Managers, RevOps leaders, and demand-gen teams. Drive UX research and user feedback loops to continuously validate design decisions with real users. Ensure the product is fast, intuitive, and information-dense without being overwhelming.
Cross-Functional Design Leadership
Partner with Product and Engineering to translate requirements into design solutions that are both visionary and shippable. Contribute to product strategy by bringing design thinking to roadmap discussions, feature prioritization, and go-to-market positioning. Mentor and set design standards as the team scales.
Required Skills
- 6-10 years of product design experience with at least 2+ years designing AI-native products (not just AI-enabled features on traditional products).
- Proven portfolio of shipped AI-native SaaS products where AI is the core user experience.
- Demonstrated experience designing: agent/conversational UIs, progressive AI content disclosure, confidence/uncertainty patterns, and human-in-the-loop workflows.
- Design system ownership - built or significantly evolved a design system used across a multi-product platform.
- Strong systems thinking - designing for complex, interconnected workflows, not isolated screens.
- Proficiency in Figma with the ability to produce high-fidelity designs and interactive prototypes.
- Enterprise SaaS experience - understanding of data-dense interfaces, role-based experiences, and constraints of selling to large organizations.
- Excellent communication - ability to articulate design rationale to engineers, product managers, and founders.
- Comfort with ambiguity - can operate without a playbook, make design decisions with incomplete information, and iterate fast.
Nice to have
- Code-based prototyping skills (HTML/CSS/React) - ability to build functional prototypes that go beyond Figma.
- Experience designing for B2B GTM products: sales intelligence, demand generation, ABM, CRM-adjacent tools.
- Familiarity with LLM capabilities and limitations - knowing what generative AI can and can't do.
- Prior startup experience - moving fast, wearing multiple hats, and shipping with limited resources.
- Experience with Salesforce, HubSpot, or similar CRM ecosystems as a user or designer.
- Motion design / micro-interaction skills for agent status communication and data transitions.
- Background in data visualization or information design.
Meta-skills
- Intelligence-first surfaces: data and AI outputs drive the interface, not the other way around.
- Progressive disclosure of AI: users see the right level of AI-generated detail at the right time.
- Trust and transparency: confidence scores, source attribution, and explainability cues are design primitives.
- Human-in-the-loop by design: AI recommends, surfaces, and drafts - humans review, approve, and course-correct.
- High data density, low cognitive load: enterprise users need information-rich screens packed without clutter.
Failure, resilience, and chaos thinking
AI outputs are probabilistic, incomplete, and sometimes wrong. You should be comfortable designing for uncertainty: confidence indicators, graceful degradation when AI has low signal, fallback states when agents fail mid-workflow, and transparent error recovery flows. The product must remain trustworthy and actionable even when the underlying AI is uncertain - design is the layer that makes that possible.
How you will know you are succeeding
- A portfolio showcasing AI-native product design with clear evidence that AI shapes the core UX, not just powers a feature.
- Specific examples of designing agent interactions, progressive disclosure, trust/transparency patterns, or human-in-the-loop flows.
- Evidence of design system thinking - patterns, components, and guidelines that scale across a multi-product platform.
- Clear articulation of your design philosophy for AI-native products and how it differs from traditional product design.
- Proof that your designs improved real outcomes: user adoption, task completion, time-to-value, or user satisfaction.
- Demonstration of product thinking - how design decisions connected to business goals and product strategy.
Why this role
- A foundational design leadership role shaping the UX of an AI-native platform from the ground up.
- Ownership of the design system, product design philosophy, and all core product surfaces.
- Direct collaboration with Product and AI leadership and the founders.
- The challenge of designing for cutting-edge AI agents, intelligence surfaces, and agentic workflows.
- A fast-moving, high-trust environment where design has a seat at the strategy table.
- Growth path into leading the Design function as Sprouts scales.
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