Product designer
Savita Singh

I’m Savita Singh, a Product Designer turning complex AI workflows into trusted products.

Available for Product Designer roles · Remote or relocation

I’m Savita Singh, a Product Designer turning complex AI workflows into trusted products.

4+ years turning complex B2B and AI workflows into products teams can trust, across Xactly, Tredence, and AmpUp.

AI transparencyEnterprise workflowsData-heavy UX
+34%conversion lift, AmpUp AI sales coaching
67%faster commission setup, Xactly
$2.1M+cloud savings, Tredence FinOps
54+research interviews and usability sessions across projects
Designed for enterprise teams at
XactlyCommission management
AmpUpAI sales coaching
TredenceAI and data products
RapidCanvasUS client work

Selected Case Studies

Case studies that show product judgment, not just polished screens.

Four product stories grounded in live portfolio content, real screens, and defensible proof.
01Making AI coaching trustworthy before a live sales call
AmpUp · Product Designer · 2025

Making AI coaching trustworthy before a live sales call.

AI sales coaching for reps and managers who needed specific, sourced guidance inside the sales rhythm.

+34%conversion85%weekly usage6rep tests
Read case study
02Commission Management Platform
Xactly Corp · Associate Product Designer · 2024 - 2025

Making commission setup safer for finance admins under audit pressure.

Commission workflows with validation, preview, and auditability for finance teams.

67%faster setup28%fewer errors$2M+annual savings
Read case study
03Cloud Cost Monitoring Platform
Tredence · UX Designer · 2022

Helping finance and engineering agree on cloud spend.

Cloud cost clarity for finance, DevOps, and cloud admins acting on the same spend picture.

40%cost savings67%fewer overruns$2.1Mannual savings
Read case study
04Enterprise AI Ecosystem
Tredence · UX Designer · 2021

Making enterprise AI setup less intimidating for non-technical teams.

Enterprise AI setup that made the first step feel clearer for business analysts and ML teams.

50%faster value40%usability lift25test participants
Read case study

Experience

Resume timeline.

Roles, companies, dates, and the scope I can defend in an interview.

Product Designer Consultant

RapidCanvas & Crewscale

Nov 2025 - present

Designed AI and SaaS workflows for US-based clients, from framing to high-fidelity delivery.

Product Designer

AmpUp

Jul 2025 - Oct 2025

Designed the AI sales coaching trial and improved trust through clearer guidance and proof.

View case study

Associate Product Designer

Xactly Corp

Jun 2024 - Jun 2025

Redesigned commission workflows and made publish decisions safer for finance admins.

View case study

User Experience Designer

Tredence

Sep 2021 - Mar 2025

Worked across AI, cloud-cost, and supply-chain products, with a focus on systems and workflow clarity.

View case study

How I work

Trust is a workflow, not a coat of paint.

A working style shaped by finance, AI, data, and enterprise products where confidence has to be earned inside the task.

Evidence before opinions

Research comes first, then structure, then the screen. I prefer a decision trail a product manager can defend.

Cuts reveal the seniority

What I leave out matters as much as what ships. I make the trade-off visible instead of hiding it.

AI should show its evidence

If the product uses AI, the source, sample size, and reason should be clear enough to trust.

Ship the usable path

I choose the smallest structure that lets experts move quickly without making the product decorative.

About

The person behind the product judgment.

Short, human context after the work has already led.
Savita personal collage

About

I am good at research, systems, product judgment, and messy workflows.

I notice how people make decisions under pressure, then design the structure that helps them move with confidence.

I design enterprise products by combining research, systems thinking, and product judgment. My strongest work sits where users need clarity, teams need confidence, and the workflow has enough complexity that good screens alone will not solve it.

I pay close attention to where people hesitate, what they need to verify, how pressure changes behavior, and what makes a recommendation feel earned instead of generic.

  • Research and synthesis come naturally to me.
  • I like systems, patterns, and the messy middle of enterprise work.
  • I pay close attention to pressure, trust, and the moment before people commit.
Travel

Travel

New places sharpen how I notice systems and behavior.

Painting

Painting

Color and composition keep me patient with ambiguity.

Chess

Chess

A quiet way to practice trade-offs and timing.

Conversations

The best research starts when people say what they mean.

Contact

Have a messy enterprise or AI workflow? That is my favorite kind of problem.

Send the role, the product, or the messy workflow. I reply fastest when the context is specific.