Role
Lead Designer


The Talent Relationship Management is an internal enterprise tool built on Salesforce that helps recruiters import, source and manage candidates.
GoalsLead Designer
AI Product Design, End-to-End UX/UI, Prototyping, Design Systems, Accessibility
58+ collaborators including: Research, Design/Strategy, Product, Data and AI, Office of Accessibility, Engineering & QA, Marketing Cloud, SMEs and Business Stakeholders.
First Half of 2025
“We get thousands of applicants, but realistically maybe 5-10% are even worth looking at. The rest are noise, and the tools don't help me filter that noise fast enough.”
“Most of my day is just moving information around. I'll find someone on LinkedIn, paste notes into Beamery, then cross-check in Workday to make sure they're not already in the system.
“When the system says "top match", I don't trust it. I still open the profile and read everything myself because I don't know why it thinks this person is a fit.”
We conducted an initial round of 12 interviews with Talent Acquisition recruiters (sourcing) and Talent Delivery recruiters (from sourcing to hire).
After conducting a few interviews something became clear: recruiters are busy. Hiring fast is the expectation, and the industry is super competitive for finding top talent.
However, we learned there's a lot of friction that stands in their way of doing their job. Some of the key pain points are: constant context switching, unreliable search, low-trust AI recommendations, rigid workflows, and overwhelming volumes of unqualified candidates.
Day in the life of a recruiter videoReplace Beamery to reclaim data, reduce licenses and unlock Salesforce AI innovation.
Leverage Slack for candidate collaboration and genuine mobility.

Use AI for discovery, transparency and efficiency, never for final hiring decisions.
Real‑time bi‑directional sync with Workday; zero‑friction Gmail & Slack extensions.
We had our problem definition, research to back it up and the vision for the new solution. However, how does AI fit into it all? See below how we partnered with the Data and AI team to create a prototype for a candidate matching model, using AI to try to match candidates with Job Requisitions.
With diverse recruiter roles
Testing AI and non-AI variants
For filters and searching

Salesforce has robust ethics and legal guardrails for AI, and that's something I really appreciated. Before any AI feature ships, it goes through a thorough review by the Responsible AI team to ensure it meets the highest standards for fairness, transparency, and accountability.
Despite our careful design around explainability, opt-out controls, and recruiter oversight, the review classified AI candidate matching as high-risk. Using AI to score, rank, or filter candidates falls under Automated Employment Decision Tools (AEDT), a category facing increasing regulatory scrutiny:
Requires annual bias audits, public disclosure, and candidate notification. Violations cost $500 to $1,500/day.
Prohibits AI with discriminatory effects in hiring. Takes effect January 2026.
Requires consent when AI analyzes video interviews for behavioral signals.
Classifies recruitment AI as "high-risk" with strict transparency requirements. Effective Feb 2025.
Requires annual bias audits, public disclosure, and candidate notification. Violations cost $500 to $1,500/day.
Prohibits AI with discriminatory effects in hiring. Takes effect January 2026.
Requires consent when AI analyzes video interviews for behavioral signals.
Classifies recruitment AI as "high-risk" with strict transparency requirements. Effective Feb 2025.
AI matching models can inadvertently discriminate against protected classes, even with the best intentions. By catching this early, we ensured every applicant gets a fair shot, evaluated by humans rather than algorithms that might carry hidden biases.
We reframed our approach: instead of using AI to rank candidates, we focused on making recruiters more efficient at finding the right people themselves.
During user interviews, recruiters consistently told us that better search was more valuable than AI hype. So we invested in:


Slack Sales Elevate brings real-time Sales Cloud data into Slack, letting teams manage pipelines and leads.
When I learned we were only using Slack for basic alerts, I spotted an opportunity: recruiters track and convert "leads" too.
In 48 hours I mocked up a recruiting version and demoed it to the team. The concept landed, and "Recruiting Elevate" was added to the roadmap. I then partnered with the Slack team to design screens so recruiters can review, assign, and chat with hiring managers on the go.