Savita Singh
I design B2B SaaS platforms, AI-powered workflows, and data-heavy enterprise products that turn ambiguous problems into clear, research-backed experiences.
Product evidence
Immediate joiner34%
conversion lift from AI sales coaching
67%
faster commission plan configuration
$2.1M
annual savings for enterprise cloud cost clients
What I do best
I design complex enterprise workflows and AI-native SaaS products across commission management, sales coaching, cloud cost monitoring, and ML/AI ecosystems. The common thread is multi-role complexity, dense data, and the need for careful AI transparency.
Approvals, configuration, multi-step processes, dashboards, and role-based decisions that need to feel calm and understandable.
Transparent recommendations, confidence cues, human control, and trust-building patterns for AI-native product experiences.
Compliance-aware flows, audit trails, data-heavy surfaces, and cross-functional handoff for products that teams rely on daily.
Interviews, synthesis, usability testing, analytics, and iteration that turn ambiguous product problems into clear choices.
Deep-dive B2B SaaS and AI projects with complex workflows, AI-native product decisions, and measurable outcomes for enterprise teams.
✨ AI Work
AmpUp · Product Designer · 2025
A B2B SaaS case study about turning lost coaching moments into pre-call prep, safe practice, and post-call learning loops.
+34%
conversion-rate lift for pilot teams
6x
faster ramp time for new reps
📊 Enterprise SaaS
Xactly Corp · UX Designer · 2024
A B2B SaaS workflow redesign that helped finance admins configure commission plans faster, with fewer errors and more confidence before publish.
67%
faster configuration time
28%
reduction in configuration errors
🧩 Systems
Tredence · UX Designer · 2022
A B2B SaaS case study about unifying cloud spend visibility, AI recommendations, alerts, and audit-ready reporting across AWS, GCP, and Azure.
40%
cost savings through recommendations
67%
reduction in budget overruns
A practical design approach for enterprise SaaS teams: research first, systems always, and AI experiences that explain themselves.
Approach
I use research, systems thinking, and AI transparency patterns to make high-stakes product decisions easier for users and easier for teams to ship.
I start with user and business research to validate assumptions before designing solutions.
I design for scale, building component libraries and patterns that serve multiple teams and products.
I specialize in AI interfaces that explain recommendations, expose uncertainty, and build user trust through clarity.
Today tab
Currently designing data workflow experiences with RapidCanvas and Crewscale, while staying open to Senior Product Designer or Lead roles in AI-native SaaS.
Thu 22 ☀️
Designing data workflow experiences for RapidCanvas and Crewscale across AI and SaaS products.
Fri 23 ✨
Senior Product Designer or Lead roles on AI-native SaaS, enterprise workflows, and B2B teams.
Mon 26 🔎
Complex workflows, cross-functional product teams, ambiguous problems, and research-backed solutions.
Now 🎛️
Bengaluru, remote, or relocation-fit roles. Available as an immediate joiner.
The process is calm, structured, and production-aware: from fuzzy context to shipped product behavior.
Discover
Interviews, analytics, constraints, and product context become a clear problem frame.
Map
Journeys, dependencies, AI behavior, and edge states are modeled before polish.
Prototype
Flows become tactile demos, motion notes, reusable components, and dev-ready specs.
Ship
QA, staging review, handoff, and outcome tracking keep the story connected to production.
A scattered gallery of the tools and practices behind the portfolio, arranged like a playful product inventory.
DESIGN CORE
Figma · Figma AI · Figma MCP · Adobe XD · Framer · Photoshop · Illustrator
AI TOOLCHAIN
Claude AI · Cursor AI · MidJourney
ENGINEERING-ADJACENT
React (basic) · Tailwind CSS (basic) · HTML/CSS · Figma Dev Mode
COLLABORATION
Notion · Loom · Azure DevOps · InVision · Balsamiq
RESEARCH AND TESTING
Usability testing · A/B testing · User interviews · Analytics · Journey mapping
Roles are presented like compact case cards: context, timeline, contribution, and what each chapter proves.
NOV 2025 - PRESENT
Partnering with product and engineering teams across two US-based AI and SaaS clients, owning design from problem framing through high-fidelity delivery and making complex data tooling approachable for non-technical users.
JULY 2025 - OCT 2025
Designed an AI sales coaching platform for enterprise revenue teams, turning before-call prep, practice, and post-call analysis into a learning loop. Outcomes included 34% higher conversion, 6x faster ramp time, 100% coaching coverage, and 10+ manager hours saved each week.
JUNE 2024 - JUNE 2025
Redesigned commission plan configuration for enterprise finance teams into a guided 5-step workflow. Results included 67% faster setup, 28% fewer errors, 48% fewer support tickets, and over $2M in annual client savings.
SEP 2021 - MARCH 2025
Led UX for enterprise cloud cost monitoring and AI/ML platform work across Finance, Healthcare, Retail, and Analytics contexts. Designed workflows that improved cost visibility, accelerated AI model creation, and made complex data products easier to use.