Juliana de Moor's profile photo from the source
PUBLIC CONTENT AUDIT

Juliana de Moor

LinkedIn public profile

PDF
Profile: Bright Data · Posts: Bright Data · 7 public posts analyzed · Retrieved Oct 22, 2026 · No automatic refresh
Read 7 of up to 8 requested posts. Unreturned or unverifiable posts are not included in the analysis.
The source returned a shortened About section. Suggestions use only the visible excerpt.
Some profile sections were not returned by the source. They remain unknown, not confirmed missing from LinkedIn.
YOUR EXECUTIVE SUMMARY

Your report at a glance.

Juliana de Moor's audit covers 7 public posts, including 7 with both reaction and comment counts. The measured median is 28 interactions. Careers & leadership is the most represented detected theme (6/7; themes can overlap). Start with a concrete follow-up to an existing subject, then test the opening and reply invitation across a consistent four-week sample.

7 source postsEvidence-led recommendationsProfile review · basic suggestions
strength

A usable personal baseline

7 of 7 posts have both public counts. Their median is 28 interactions. Compare future experiments with your own sample rather than an unrelated peer score.

Supporting posts · 7
context

Conversation is observable; quality is not

4 of 7 posts contain a question. Measured posts generated 16.2 comments per 100 reactions. Counts can include the author's replies and do not measure lead quality or sentiment.

Supporting posts · 4
More observations · 1
Followers
6,087

Public audience snapshot

Engagement rate
0.61%

Average interactions ÷ followers · n=7

Average reactions
31.7

Per post · median 27

Posts per week
1.8

Across a 23-day sample

Profile & visual identityImage preview, section grades, missing data and specific fixes
Juliana de Moor's cover image from the source
Juliana de Moor's profile photo from the source
SOURCE PROFILE PREVIEW

Juliana de Moor

Headline not supplied by the source

These are source images, which may be resized. An unavailable image does not mean it is missing on LinkedIn.

PROFILE CHECKLIST

Your first impression, section by section.

Open any section to see the evidence and a practical fix. Unknown data is not a failed check.

Profile picture

A+15/15 observed points

15 / 15 points assessable

PassProfile image supplied5/5

What we observed

The source supplied an image URL.

Keep it strong

Choose a current, recognizable photo. Preview the circular crop at comment size and leave space around your head.

PassImage decodes and fits its display shape10/10

What we observed

Returned image: 200 × 200px. Dimensions and decoding were measured on the returned image, which may be a resized LinkedIn thumbnail. Original resolution, face framing, lighting and professional suitability were not assessed automatically.

Keep it strong

Use a square original, check sharpness at full size, and preview the circular crop. A small provider thumbnail does not prove your original upload is low resolution.

Cover & visual identity

A+10/10 observed points

10 / 10 points assessable

PassCover image supplied5/5

What we observed

The source supplied an image URL.

Keep it strong

Use a simple cover that says who you help and what you do. Keep important text clear of the profile-photo overlay.

PassImage decodes and fits its display shape5/5

What we observed

Returned image: 800 × 199px. Dimensions and decoding were measured on the returned image, which may be a resized LinkedIn thumbnail. Original resolution, face framing, lighting and professional suitability were not assessed automatically.

Keep it strong

Preview your cover on desktop and mobile. Start with a 1584 × 396 canvas and keep the message readable without tiny text.

Name & identity

A+10/10 observed points

10 / 10 points assessable

PassReadable display name5/5

What we observed

Source text: “Juliana de Moor”

Keep it strong

Use the name people know you by, consistently across your profile and other professional channels. Single names and all writing systems are supported.

PassName field stays focused on identity5/5

What we observed

Source text: “Juliana de Moor”

Keep it strong

Move URLs, contact details and sales calls to action into About or Contact info. Keep your actual name unchanged.

Headline & positioning

UnknownNeeds source data

0 / 15 points assessable · partial coverage

UnknownHeadline supplied—

What we observed

Not returned in readable form by the source.

What to do

State your role or specialty in the headline, using terms your intended reader understands.

UnknownEnough context to explain your work—

What we observed

Not returned in readable form by the source.

What to do

Use this structure: [role or specialty] · Helping [audience] achieve [outcome]. Replace every bracket with a truthful detail.

UnknownHeadline is concise enough to scan—

What we observed

Not returned in readable form by the source.

What to do

Keep the headline focused on one main promise. Move your longer story into About.

About & descriptions

Partial5/5 observed points

5 / 20 points assessable · partial coverage

PassReadable introduction5/5

What we observed

Truncated source excerpt: “Hey! I’m Juliana 👋 Director of Recruiting at Better Career, where we focus on helping…”

Keep it strong

Lead with who you help, the problem you solve and the work you do today.

UnknownAn introduction with supporting detail—

What we observed

Truncated source excerpt: “Hey! I’m Juliana 👋 Director of Recruiting at Better Career, where we focus on helping…”

What to do

Add a specific example of your work, your approach, and the kinds of opportunities you welcome. Length is a structure check, not a quality guarantee.

UnknownEasy-to-scan paragraph structure—

What we observed

Truncated source excerpt: “Hey! I’m Juliana 👋 Director of Recruiting at Better Career, where we focus on helping…”

What to do

Break About into short paragraphs: current focus, relevant proof, then how to connect.

UnknownA clear next step—

What we observed

Truncated source excerpt: “Hey! I’m Juliana 👋 Director of Recruiting at Better Career, where we focus on helping…”

What to do

End with one relevant next step, such as who should message you and what to include. This automated check recognizes English phrases and links; review other languages manually.

Experience & proof

UnknownNeeds source data

0 / 15 points assessable · partial coverage

UnknownProfessional experience identified—

What we observed

No readable entries were returned. We cannot conclude this section is empty.

What to do

List relevant roles with an accurate title and organization. Connect them to the work you want to do next.

UnknownExperience includes useful descriptions—

What we observed

Not returned in readable form by the source.

What to do

For each relevant role, explain your responsibility, a concrete contribution, and an outcome you can substantiate. Do not invent numbers. Masked source descriptions need manual review.

Education & learning

UnknownNeeds source data

0 / 10 points assessable · partial coverage

UnknownEducation or learning entry identified—

What we observed

No readable entries were returned. We cannot conclude this section is empty.

What to do

Add relevant education or structured learning you want to share. Name the institution or course accurately; formal degrees are not required for a strong professional story.

UnknownLearning context is described—

What we observed

Not returned in readable form by the source.

What to do

Describe your subject, course or qualification and one relevant project or skill. Use the full qualification name where helpful. We assess clarity, never institution prestige or degree level.

Location & context

A+5/5 observed points

5 / 5 points assessable

PassReadable location5/5

What we observed

Source text: “Napa”

Keep it strong

Use an accurate city or region if you want it visible. Do not add a home address. Omitted provider data is not penalized.

Read all available profile text

Headline

Not returned in readable form by the source.

About

Hey! I’m Juliana 👋 Director of Recruiting at Better Career, where we focus on helping…

This is a truncated source excerpt.

Experience

No readable entries returned.

Education

Name unavailable

California Polytechnic State University-San Luis Obispo

Hidden entries are omitted from this readable preview. Source text is not independently verified.

VISUAL REVIEW

Check how your profile looks.

The automatic image grade checks file readability and shape. Use this checklist to review the visual choices it cannot judge.

  • Is your face recognizable in the small circular crop?
  • Is the image sharp, evenly lit, and free of distracting clutter?
  • Does the banner communicate your work without overlapping your photo?
  • Are colors and typography consistent with your professional identity?
Review the full profile on LinkedIn
How this grade is calculated · profile-2026.09.1

A transparent presentation checklist, not a LinkedIn ranking, talent assessment or prediction of reach. Grade thresholds: A+ 90, A 80, B 65, C 50, D 35, F below 35.

Score = earned points ÷ assessed points × 100. Coverage is assessed weight out of 100. Unavailable and masked data are excluded. Scores with different coverage are not directly comparable.

Truncated text earns only checks already demonstrated in the visible excerpt; the unseen remainder is not marked wrong. Text rules measure structure, not factual accuracy, writing quality or every language equally.

Photo and banner grades cover image availability, decoding and shape only. Face framing, lighting, expression, visual style and authenticity require a human review. No appearance, identity or personality judgments are made.

An education entry is evidence of profile context, not verified credentials. School prestige, age, degree level and background do not affect the score.

Section weights: photo 15, cover 10, name 10, headline 15, About 20, experience 15, education 10, location 5. Passed checks earn their full weight; improvements earn zero; unknown checks are excluded.

Full methodology
PerformanceYour own baseline, strongest posts and publishing rhythm
YOUR OWN BASELINE

Performance, with perspective.

Interactions across the sample

Publication date · UTC
View chart data
Measured interactions by post
Date UTCReactionsCommentsTotal
2026-09-28 15:3066369
2026-10-01 14:0033841
2026-10-05 14:0018927
2026-10-07 15:3617017
2026-10-14 16:0046955
2026-10-19 14:3515621
2026-10-21 15:0027128

Post totals at collection time. Older posts have had more time to collect reactions and comments.

EARLY VS RECENT SAMPLE
41→28

Median visible interactions: 41 for the earliest 3 measured posts and 28 for the latest 3. The middle post is excluded to keep group sizes equal. This compares selected posts of different ages, not account growth.

TYPICAL VS STRONGEST
28/69

Median / highest measured interaction total. A breakout can lift the average; the median provides another view of a typical sampled post.

Content & writingThemes, formats, opening lines and calls to action
SUBJECTS, FORMATS & WRITING

What your content is made of.

Content pillars to explore

English keyword groupings, with overlapping themes. Treat labels as a starting point for review; group totals can exceed the sample size.

Explore 5 groups and supporting posts
Detected themes and observed performance
GroupPosts / measuredMedian interactionsAverage interactions
Careers & leadership
Supporting posts · 6
6 / 627.536.2
Business & entrepreneurship
Supporting posts · 2
2 / 23838
AI & building products
Supporting posts · 1
1 / 12727
Learning & practice
Supporting posts · 1
1 / 12727
Marketing & audience
Supporting posts · 1
1 / 14141

Hooks and writing structure

Read writing structure for 7 posts
Text rules applied to every sampled post
OpeningHook typeWordsParagraphsFinal CTATags / mentions
One of the worst things a recruiter can do is introduce a hiring manager to a candidate they could nNumber-led2291Not detected0 / 0
You don't see many people in jobs longer than a year and a half anymore. Especially on the startup sQuestion2581Detected0 / 0
The difference between a good SE and a great SE usually comes down to one thing: They tie everythingQuestion2591Detected0 / 0
He had less than 60 days to find a job. If he didn’t, he’d have to pack up his family and leave the Question2551Detected0 / 0
Our last 21 hires went from submission to signed offer in a median of 20 days. The goal now is to maQuestion1961Detected0 / 0
I didn't talk for ten days. No phone. No writing. No communication of any kind. Just silence, and myNumber-led2101Not detected0 / 0
Two SE offers accepted this month! Senior SE in NYC: first interview to offer in 13 days. THIRTEEN. Number-led691Not detected0 / 0

Hook type uses the first nonempty line. CTA detection checks the final paragraph for a question or action phrase. Paragraphs use blank-line breaks. These rules can miss meaning and linked mentions.

Hashtags in the sample

No data available for this grouping.

Tags travel with the topic, author and format. These associations cannot isolate a hashtag's effect.

Recommended next stepsPrioritized actions, effort and what to measure
PRIORITIZED RECOMMENDATIONS

Less guessing. Clear next steps.

Ordered from building a useful baseline to testing individual writing choices. Potential impact describes the purpose of an experiment, not a promised uplift.

01Develop a specific follow-up

Medium effort
OBSERVATION

The sample includes “Two SE offers accepted this month! Senior SE in NYC: first interview to offer in 13 days. THIRTEEN. ”. Its visible interaction total is 69.

DO THIS

Build a follow-up to “Two SE offers accepted this month! Senior SE in NYC: first interview to offer in 13 days. THIRTEEN. ”. Add a concrete example, a decision you made and one lesson. Keep the format similar so topic development is the main experiment.

Potential impact: Test repeatable interest in an existing subject

Metric to watch: Reactions and comments after the same seven-day window; compare with the baseline median

Supporting posts · 1

02Test a sharper opening

Low effort
OBSERVATION

Median text length is 229 words with 1 paragraphs. 0 of 7 openings are classified as statements.

DO THIS

For the next post related to “Two SE offers accepted this month! Senior SE in NYC: first interview to offer in 13 days. THIRTEEN. ”, open with a specific problem and a concrete outcome you can substantiate. Move context into the second paragraph. Avoid invented results or curiosity gaps that the post does not resolve.

Potential impact: Improve clarity; any engagement effect remains to be tested

Metric to watch: Median interactions across at least three comparable posts per opening approach

Supporting posts · 3

03Make the reply invitation concrete

Low effort
OBSERVATION

4 of 7 final content lines contain a detected question or action phrase; 4 posts contain a question anywhere. These are text rules, not semantic judgments.

DO THIS

End one upcoming post with a focused trade-off question connected to careers & leadership. Ask readers to share a decision and why. Read replies before deciding whether the discussion was useful.

Potential impact: Test whether a clearer invitation supports useful discussion

Metric to watch: Public comments per post and manual review of reply relevance

Supporting posts · 4

04Choose a sustainable publishing experiment

Medium effort
OBSERVATION

7 dated posts span 23 days. Observed cadence is 1.8 posts per week.

DO THIS

Choose two slots per week for the four-week experiment below, or reduce the schedule if your capacity is lower. Keep the slots consistent and log every published post. Two slots are a planning choice, not a LinkedIn benchmark.

Potential impact: Create comparable records and a manageable learning loop

Metric to watch: Planned versus published posts, time spent, and median interactions at seven days

Supporting posts · 7

05Use tags and mentions with a purpose

Low effort
OBSERVATION

0 of 7 posts contain hashtags and 0 contain visible @mentions. LinkedIn may return linked mentions as plain text, so detection can undercount.

DO THIS

Use relevant topic labels only when they clarify the subject. Mention people only when they contributed or are directly relevant. Test a consistent tagging approach on comparable posts; do not attribute performance changes to tags alone.

Potential impact: Keep context and attribution useful

Metric to watch: Median interactions for tagged/untagged samples, with sample sizes and topic differences

06Test presentation without changing the subject

Medium effort
OBSERVATION

image: 5 posts (5 measured); text: 2 posts (2 measured).

DO THIS

Turn one idea related to “Two SE offers accepted this month! Senior SE in NYC: first interview to offer in 13 days. THIRTEEN. ” into a concise checklist or document post. Keep a similar topic and ask the same type of question. Label this a new format experiment, not a proven winning format.

Potential impact: Learn whether a different presentation helps explain the same idea

Metric to watch: Public interactions at the same post age; at least three posts in each format before comparison

Supporting posts · 7
Content ideas & basic outlineThree starting ideas and a simple structure for your next post
INCLUDED IN YOUR FREE REPORT

A starting point for your next post.

Simple ideas from this profile’s available evidence. Choose one, add your own experience, and review the result.

IDEA 3

A useful trade-off

Describe two approaches to careers & leadership, explain your constraint, and ask which constraint readers face.

Supporting posts · 6
1. Open with one point

Name a specific problem or observation from your own experience.

2. Show your reasoning

Add a supported example, a decision and what you learned.

3. Invite a useful reply

Ask a focused question. Compare the response with your own sample.

These are rule-based suggestions, not a personalized AI strategy or a guaranteed posting schedule.

Source posts & report historyRead all sampled posts, compare versions and refresh the report
THE CONTENT, IN CONTEXT

Your post leaderboard.

Ranked by complete interaction totals; incomplete counts shown last
01

Two SE offers accepted this month! Senior SE in NYC: first interview to offer in 13 days. THIRTEEN. SE in SF: first interview to offer in 22 days. NYC and SF are two of the harder markets to close SE searches in right now. Both moved fast for the same reason: candidates responded quickly, clients decided quickly. Shout out to our candidates, clients & team. Pastry + coffee to celebrate 🤷♀️

Read post

Two SE offers accepted this month! Senior SE in NYC: first interview to offer in 13 days. THIRTEEN. SE in SF: first interview to offer in 22 days. NYC and SF are two of the harder markets to close SE searches in right now. Both moved fast for the same reason: candidates responded quickly, clients decided quickly. Shout out to our candidates, clients & team. Pastry + coffee to celebrate 🤷♀️

66reactions
3comments
02

The difference between a good SE and a great SE usually comes down to one thing: They tie everything back to value. A good SE can run a standard demo and answer questions. But the SEs who really stand out spend less time showing how much they know and more time understanding what the customer actually cares about. When I debrief with hiring managers after demo rounds, this is the most common reason a strong candidate doesn’t get the offer. And it usually starts well before the demo. If a prospect says they need better reporting, a great SE won’t just add the reporting dashboard to their demo checklist. They’ll want to know what’s wrong with the current reporting, who it affects, and why fixing it matters to the business. So when they finally show that dashboard, it’s built around the VP who spends six hours a week pulling numbers by hand. That’s also why value isn’t one-size-fits-all. Even on the same call, different people want different answers. The technical buyer wants to know how it works. The business leader wants to know what changes for them. The strongest SEs can speak to both without losing either. And it’s why feature dumping is such a missed opportunity. You can show someone 25 impressive features, but if only three address the problems they came to solve, you’ve spent most of the demo on the wrong things. For the SE leaders here, what’s one thing you notice during a demo that immediately tells you, “This person really knows what they’re doing”?

Read post

The difference between a good SE and a great SE usually comes down to one thing: They tie everything back to value. A good SE can run a standard demo and answer questions. But the SEs who really stand out spend less time showing how much they know and more time understanding what the customer actually cares about. When I debrief with hiring managers after demo rounds, this is the most common reason a strong candidate doesn’t get the offer. And it usually starts well before the demo. If a prospect says they need better reporting, a great SE won’t just add the reporting dashboard to their demo checklist. They’ll want to know what’s wrong with the current reporting, who it affects, and why fixing it matters to the business. So when they finally show that dashboard, it’s built around the VP who spends six hours a week pulling numbers by hand. That’s also why value isn’t one-size-fits-all. Even on the same call, different people want different answers. The technical buyer wants to know how it works. The business leader wants to know what changes for them. The strongest SEs can speak to both without losing either. And it’s why feature dumping is such a missed opportunity. You can show someone 25 impressive features, but if only three address the problems they came to solve, you’ve spent most of the demo on the wrong things. For the SE leaders here, what’s one thing you notice during a demo that immediately tells you, “This person really knows what they’re doing”?

46reactions
9comments
03

I didn't talk for ten days. No phone. No writing. No communication of any kind. Just silence, and my own mind, for ten days straight. It was a Vipassana meditation retreat in Indonesia. You wake up at 4am, meditate for ten hours a day, eat twice, sleep, and then get up and do it all over again. It was one of the hardest things I've done, and also one of the most life changing. After the 10 days, I had a level of focus I didn't know was possible. Work felt different. Even reading emails and having conversations felt different, and it’s all because my brain had been so overstimulated for so long that I'd forgotten what it was like to think clearly. What surprised me most was who else was there. A lot of them were managers and executives whose bosses had actually encouraged them to go, because people came back sharper, calmer and more productive. I'm not saying everyone needs to do a Vipassana retreat. But I do think we underestimate how much noise we carry around, and we keep adding to it with more tools, more content and more things to do. Ten days of nothing did more for my focus than any productivity hack I've tried.

Read post

I didn't talk for ten days. No phone. No writing. No communication of any kind. Just silence, and my own mind, for ten days straight. It was a Vipassana meditation retreat in Indonesia. You wake up at 4am, meditate for ten hours a day, eat twice, sleep, and then get up and do it all over again. It was one of the hardest things I've done, and also one of the most life changing. After the 10 days, I had a level of focus I didn't know was possible. Work felt different. Even reading emails and having conversations felt different, and it’s all because my brain had been so overstimulated for so long that I'd forgotten what it was like to think clearly. What surprised me most was who else was there. A lot of them were managers and executives whose bosses had actually encouraged them to go, because people came back sharper, calmer and more productive. I'm not saying everyone needs to do a Vipassana retreat. But I do think we underestimate how much noise we carry around, and we keep adding to it with more tools, more content and more things to do. Ten days of nothing did more for my focus than any productivity hack I've tried.

33reactions
8comments
04

One of the worst things a recruiter can do is introduce a hiring manager to a candidate they could never actually hire. Imagine you're hiring a Solutions Engineer, and I introduce you to someone who checks all the boxes. You love everything about them, but there's one problem: they're expecting $220K, and your budget is $160K. You make an offer anyway, hoping they'll be excited enough about the opportunity to compromise. They decline, and now every candidate I introduce to you gets compared to someone who was never within your budget. This is one of the reasons I spend so much time understanding what candidates actually want before introducing them to clients. I want to know their salary expectations, career goals, preferred working environment, and whether they'd seriously consider the opportunity if an offer came through. I also want to understand where the hiring manager has flexibility and where they don't, because there's very little value in creating excitement around a candidate when the expectations on both sides don’t align. The problem is that the other candidates aren't going to put their job searches on hold while the hiring manager figures this out. They're interviewing with other companies, and some will inevitably receive offers. I've always felt that a good recruiter should help hiring managers understand what's realistically available within their budget, rather than set expectations they can't meet.

Read post

One of the worst things a recruiter can do is introduce a hiring manager to a candidate they could never actually hire. Imagine you're hiring a Solutions Engineer, and I introduce you to someone who checks all the boxes. You love everything about them, but there's one problem: they're expecting $220K, and your budget is $160K. You make an offer anyway, hoping they'll be excited enough about the opportunity to compromise. They decline, and now every candidate I introduce to you gets compared to someone who was never within your budget. This is one of the reasons I spend so much time understanding what candidates actually want before introducing them to clients. I want to know their salary expectations, career goals, preferred working environment, and whether they'd seriously consider the opportunity if an offer came through. I also want to understand where the hiring manager has flexibility and where they don't, because there's very little value in creating excitement around a candidate when the expectations on both sides don’t align. The problem is that the other candidates aren't going to put their job searches on hold while the hiring manager figures this out. They're interviewing with other companies, and some will inevitably receive offers. I've always felt that a good recruiter should help hiring managers understand what's realistically available within their budget, rather than set expectations they can't meet.

27reactions
1comments
05

Our last 21 hires went from submission to signed offer in a median of 20 days. The goal now is to make that even faster, and AI is a big part of how we're doing it. It isn't removing the human touch. We still run every screen ourselves and talk to every candidate and hiring manager directly. What it's changed is how fast we learn. Every piece of hiring manager feedback, whether it comes through Slack, email or a sync call, goes into a living scorecard for that role. If a hiring manager tells us a candidate's technical depth wasn't there, the scorecard updates, and the next candidate gets asked the question that would have caught it. So we're asking better questions every week and spotting fit (and misfit) before a candidate ever reaches the hiring manager's calendar. The number we care about most is sub-to-start: how many candidates a client has to interview to make one hire. Every candidate we take out of that number is hours back on a hiring manager's week. That's the whole goal: save our clients as much time as possible. How is your team using AI in hiring right now?

Read post

Our last 21 hires went from submission to signed offer in a median of 20 days. The goal now is to make that even faster, and AI is a big part of how we're doing it. It isn't removing the human touch. We still run every screen ourselves and talk to every candidate and hiring manager directly. What it's changed is how fast we learn. Every piece of hiring manager feedback, whether it comes through Slack, email or a sync call, goes into a living scorecard for that role. If a hiring manager tells us a candidate's technical depth wasn't there, the scorecard updates, and the next candidate gets asked the question that would have caught it. So we're asking better questions every week and spotting fit (and misfit) before a candidate ever reaches the hiring manager's calendar. The number we care about most is sub-to-start: how many candidates a client has to interview to make one hire. Every candidate we take out of that number is hours back on a hiring manager's week. That's the whole goal: save our clients as much time as possible. How is your team using AI in hiring right now?

18reactions
9comments
06

You don't see many people in jobs longer than a year and a half anymore. Especially on the startup side. And to be fair there can be good reasons for that. A candidate might have three roles in three years and on paper, that looks like they’re job-hopping. But when you actually talk to them, you find out: - The first company had an acquisition - The second was supposed to sell but didn't, and they had layoffs - The third ran into financial trouble None of that means the person isn't looking for something stable. In fact, a lot of the candidates I talk to are actively seeking stability but they're just coming out of situations that were beyond their control. For AEs, there’s another layer to this, especially when they’ve been selling something with a longer sales cycle. Someone might leave before they’ve had enough time for the deals they were working to actually close, which can make their performance a little harder to judge from a resume alone. That’s where you have to look beyond tenure and ask better questions: What pipeline did they build? How were they performing against the expectations for that stage of their ramp? What deals were they working? And, most importantly, why did they leave? I think hiring managers sometimes look at a resume and make a quick judgment about a candidate’s tenure without understanding the full story. And candidates…if you've moved around, you need to be ready to explain why in a way that makes sense. Because the context ALWAYS matters.

Read post

You don't see many people in jobs longer than a year and a half anymore. Especially on the startup side. And to be fair there can be good reasons for that. A candidate might have three roles in three years and on paper, that looks like they’re job-hopping. But when you actually talk to them, you find out: - The first company had an acquisition - The second was supposed to sell but didn't, and they had layoffs - The third ran into financial trouble None of that means the person isn't looking for something stable. In fact, a lot of the candidates I talk to are actively seeking stability but they're just coming out of situations that were beyond their control. For AEs, there’s another layer to this, especially when they’ve been selling something with a longer sales cycle. Someone might leave before they’ve had enough time for the deals they were working to actually close, which can make their performance a little harder to judge from a resume alone. That’s where you have to look beyond tenure and ask better questions: What pipeline did they build? How were they performing against the expectations for that stage of their ramp? What deals were they working? And, most importantly, why did they leave? I think hiring managers sometimes look at a resume and make a quick judgment about a candidate’s tenure without understanding the full story. And candidates…if you've moved around, you need to be ready to explain why in a way that makes sense. Because the context ALWAYS matters.

15reactions
6comments
07

He had less than 60 days to find a job. If he didn’t, he’d have to pack up his family and leave the US. This was right after Covid, and I had just started my career in recruiting. Finding a job was difficult for almost everyone at the time and for candidates on visas, the pressure was on another level. I was working at a large agency with plenty of openings, so I started reaching out to account managers across the company, trying to find a client who might be open to sponsorship. A lot of the initial answers were no. And I remember pushing back with a simple question: “Have you actually asked them?” A lot of the time, we were assuming the answer would be no because of how difficult the market was, without actually putting the question to the client. Sponsorship added another layer of complexity to an already difficult hiring process, so it was easy to assume a client probably wouldn’t go for it. But this candidate didn’t have the luxury of us assuming. So I kept asking account managers to go back to their clients and actually have the conversation. Eventually, we found an opportunity. He went through several rounds of interviews and got the job. I still remember how grateful he was. He had built a life in the US with his family, and this job meant they could keep that life. Years later, that experience is still the clearest answer I have for why I love this work.

Read post

He had less than 60 days to find a job. If he didn’t, he’d have to pack up his family and leave the US. This was right after Covid, and I had just started my career in recruiting. Finding a job was difficult for almost everyone at the time and for candidates on visas, the pressure was on another level. I was working at a large agency with plenty of openings, so I started reaching out to account managers across the company, trying to find a client who might be open to sponsorship. A lot of the initial answers were no. And I remember pushing back with a simple question: “Have you actually asked them?” A lot of the time, we were assuming the answer would be no because of how difficult the market was, without actually putting the question to the client. Sponsorship added another layer of complexity to an already difficult hiring process, so it was easy to assume a client probably wouldn’t go for it. But this candidate didn’t have the luxury of us assuming. So I kept asking account managers to go back to their clients and actually have the conversation. Eventually, we found an opportunity. He went through several rounds of interviews and got the job. I still remember how grateful he was. He had built a life in the US with his family, and this job meant they could keep that life. Years later, that experience is still the clearest answer I have for why I love this work.

17reactions
0comments
A RECORD YOU CAN RETURN TO

Saved audit history.

Reading a saved report does not start a new collection. A fresh snapshot requires confirmation and uses your current review allowance. Refresh availability and shared spending limits are checked before it starts.

A comparison appears after another audit is saved. A single snapshot cannot establish follower growth.

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Independent analysis of publicly available information. Not affiliated with LinkedIn or the profile owner. Impressions, profile views, private analytics, and follower growth are not available in this snapshot.

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