Offer Accepted

Recruiting operations does not scale on good intentions alone.
Natalie Mercuri, Recruiting Operations Program Manager at Plaid, joins Shannon to share how her two-person team supported thousands of interviews a year while migrating the company to a new ATS. Natalie explains why she brought her customer support background into talent, why centralizing every question into one channel changed how recruiters and hiring managers get help, and how she layered ticketing and AI tools on top of that channel to speed up response times.
Natalie also shares how her team pushed first reply resolution to 85%, cut down on one-off DMs, and taught the wider company how to troubleshoot before asking for help. She closes with her honest take on why cover letters waste everyone's time.

Key Takeaways
Centralize every question: One intake channel makes it easier to track, prioritize, and delegate incoming requests.
Automate the first response: Tools like Glean can handle routine questions so your team can focus on the harder ones.
Teach people to troubleshoot: Coaching employees to try one more step before asking builds a stronger self-serve culture.
Protect quality during ramp: Moving fast only pays off when your team still has time to get the answer right.

Timestamps
(00:00) Introduction
(00:47) Meet Natalie Mercuri
(02:31) Why strong recruiting operations start with trust
(04:46) Migrating to a new ATS while keeping hiring on pace
(07:48) Centralizing every recruiting question in one channel
(09:32) Choosing the right tools for ticket intake
(11:47) Balancing AI automation with human follow up
(15:35) Teaching recruiters and hiring managers to self-serve
(21:12) Borrowing lessons from customer support and engineering
(28:34) The results behind an 85% first reply rate
(33:53) Where to connect with Natalie

Scaling fast and scaling with intention are not the same thing.
Maggie Fish, Director of Recruiting at Grafana Labs, joins Shannon to explain how her team built an ideal candidate profile for every role, starting with sales and expanding it across the business. She walks through the deep dive into attrition data and interview feedback that separated what actually predicted a great Grafanista from what just looked good on paper, and why removing bias from the hiring bar mattered more once her team scaled across the US, Europe, and Australia.
Maggie shares how that work led to a guiding principles engine that generates role-specific interview questions, how her team cut the interview process from six stages to five, and how the first hired cohort came through with zero non-regretted attrition.
Key takeaways:
Data first, opinions second: Bring interview and performance data into the room before asking hiring managers what they think, or the conversation stalls on gut feel.
Test what you value: If a guiding principle actually matters, build it into an interview question, then check with AI note takers that interviewers are getting there.
Async beats scripted calls: Letting hiring managers think through what they need before a recruiter call gets everyone further before the conversation even starts.
Confidence earns a seat: Speaking up and challenging the status quo, done thoughtfully, builds the kind of trust that gets you pulled into decisions you were not even in the room for.
Timestamps: 
(00:00) Introduction
(00:44) Meet Maggie Fish
(02:21) Scaling with intention versus scaling fast
(04:49) Getting every team aligned to one north star
(08:53) Digging into attrition data to define the ideal account executive
(11:43) Rebuilding the interview process around critical attributes
(15:36) Rolling the ideal candidate profile out beyond sales
(16:24) Building the guiding principles engine
(20:32) Roadblocks to watch for when you start this work
(21:48) Zero non-regretted attrition and other early results
(24:02) The vision for an ICP copilot
(28:02) Where to connect with Maggie

Quality of hire does not end at the offer.
Veronica Salcido, who leads the recruiting, HR, and coaching and L&D org at GrowthAssistant, joins Shannon to unpack how her team turned 50% churn into a 10% retention lift in 6 months. She explains why speed and volume stopped being useful signals once quality became the real cost, and how tracing 80% of failed hires back to durable skills, not hard skills, changed how her team hires, coaches, and measures success.
Veronica walks through the four durable skills her team built into every stage of the journey, why half of a recruiter's KPI is now tied to 90-day quality of hire, and how that accountability turned recruiting from an execution function into a strategic partner to the business.
Key takeaways:
Durable skills outlast tools: Character, communication, and critical thinking hold their value for seven to nine years, while tool skills like ChatGPT or Klaviyo fade out in under two.
CEO buy in matters: The fastest way to get a hiring framework adopted across an org is making the CEO or founder its first champion.
AI can prep coaching: Aggregating performance data ahead of a coaching call helps leaders focus on the one durable skill that actually needs work.
Curiosity beats sounding smart: The people who ask questions freely tend to go further than the people busy managing how they appear in the room.
Timestamps: 
(00:00) Introduction
(00:48) Meet Veronica Salcido
(02:01) Why operational rigor matters more than ever
(04:22) Inside the GrowthAssistant model
(08:07) Inheriting speed and volume without quality
(09:55) Tracing 50 percent churn back to durable skills
(13:37) Naming the four durable skills framework
(17:52) Connecting the through line from hire to retention
(19:34) Tying 90 day quality of hire to recruiter KPIs
(24:12) Why shared accountability changes the recruiter's role
(30:09) The results after 6 months and 18 months
(36:40) Where to connect with Veronica

A hiring goal only works when the team believes it is possible.
Liz Woodfield, Head of Talent Acquisition at SentiLink, joins Shannon to share how she built a single north star metric for her recruiting team and used it to drive a 60% increase in hires without adding headcount. She breaks down the framework she leans on for every role, volume, velocity, and calibration, and how weekly dashboards brought a skeptical team and leadership along.
Once the team started hitting their weekly numbers, the results followed. SentiLink hit its first half of the year goal, and Liz has kept the same system in place as the team scales into the second half, adding more layers around competency based hiring along the way.
Key takeaways:
Sprint hiring unlocks roles: Breaking a role into a tight weekly plan turned a year old opening into a one week hire.
Debriefs surface bias: Talking live catches details that written feedback and Slack threads tend to miss.
Hiring is everyone's job: SentiLink's leadership repeats the hiring goal at every all hands so recruiting is not carrying it alone.
Interviews should inform onboarding: The insight gathered from candidates can shape a stronger first few months on the job.
Timestamps: 
(00:00) Introduction
(01:00) Meet Liz Woodfield
(02:30) Why every recruiting team needs a north star metric
(03:10) Turning a CEO's gold metric into a team wide goal
(04:04) Setting a bigger hiring goal with the same size team
(06:51) The volume velocity calibration equation behind recruiting success
(08:06) Winning leadership buy in during the uncomfortable early weeks
(09:51) Building weekly dashboards recruiters actually trust
(12:01) Using sprint hiring to close a role open for over a year
(13:40) Application data gathering for results
(15:55) Recruitment goals inspired by revenue goals
(17:51) Running towards the collective but improve individually
(18:50) 7 months in, measuring what the new system delivered
(22:21) What comes next for SentiLink's hiring goals
(24:42) Where to connect with Liz

What if your hiring process was designed to screen people in instead of screen them out?
Jen Ayala, Head of Recruiting at Clay, joins Shannon to discuss why traditional hiring often filters out great talent too early. She shares how Clay replaced resume reviews with project-based evaluations for high volume hiring, giving career transitioners and new graduates a better opportunity to demonstrate their strengths while helping the team hire faster.
Jen also explains how AI supports recruiters without replacing human judgment, why hiring for potential creates stronger teams, and how designing a fair process can improve both candidate experience and hiring outcomes.
Key takeaways:
Screen people in, not out: Replace early resume filtering with practical assessments that help candidates demonstrate their strengths.
Keep humans involved: Use AI to organize information and speed up evaluations while leaving hiring decisions to recruiters.
Hire for potential: Focus on learning ability and unique strengths instead of matching every requirement on a job description.
Build together: Partner with hiring managers, recruiters, and cross functional teams to continuously improve hiring processes.
Timestamps: 
(00:00) Introduction
(00:55) Meet Jen Ayala
(02:12) Why traditional hiring screens out great talent
(04:18) Giving candidates projects before resume reviews
(08:35) Eliminating resume screening for high volume hiring
(12:05) Building an AI assisted project evaluation system
(19:12) How recruiters became stronger decision makers
(20:40) Candidate reactions to project based hiring
(24:10) Results from Clay's hiring pilot
(27:46) Where to connect with Jen