# T. Brad Kielinski

T. Brad Kielinski is a Philadelphia-area technology recruiter who helps companies hire tech professionals. They also share job-search advice, recruiting insights, and local technology job openings.

- Profile: https://b2binfluencer.marketing/creators/t-brad-kielinski/
- LinkedIn: https://www.linkedin.com/in/t-brad-kielinski-philadelphia-tech-recruiter
- LinkedIn followers: 27,824
- Topics: artificial-intelligence, recruiting
- Based on 41 dated posts, latest 2026-09-21

## Summary

Useful for Philadelphia tech hiring insights, employer search briefs, and candidate-side job-search advice.

- Best for: Co-branded editorial or workshop for local startups hiring senior technical talent.
- Not for: Exclusive enterprise ATS lead generation or Fortune 500 HR campaigns with guarantees.
- Check first: Confirm audience demographics, post performance, and sources for hiring statistics.

### Takeaways

- A role-and-skills formula for LinkedIn headlines helps candidates describe themselves.
- Posts describe hidden filters and how candidates get screened and hired.
- They share Philadelphia funding news, local openings, and community events.

## Main ideas

- **Run a direct-access campaign, not an application-volume contest**: Kielinski argues that long tech searches usually fail on strategy, not skill. Most candidates apply to hundreds of quick-apply postings, get filtered by ATS and generic HR screens, and dilute their positioning. A stronger approach is to map target employers by sector, funding stage, size, engineering culture, and team problem; position yourself around a specific bottleneck; and run several interview processes in parallel to create urgency and feedback. They say the difference between a messy nine-month search and a focused nine-week search is usually not effort but knowing who can help you get there.
- **Learn the hidden filters, even when they are unfair**: Kielinski argues that hiring teams reject resumes in seconds for reasons candidates rarely see, and that candidates need to know those reasons even when they are biased. The filters they name include Big Tech or consultancy backgrounds, pre-seed-only leadership, frequent job changes, manual QA experience, missing profile photos, and employment gaps. They say the goal is to expose the biases, not defend them, then offer fixes: strip corporate jargon and show 0-to-1 work, group contract roles under one title, state layoffs next to the company name, move automation upskilling to the top, add a professional photo, and keep a profile active. The advice acknowledges unfair filters while asking candidates to work around them.
- **AI hiring runs on networks and proof, not public postings**: Kielinski argues that public AI job postings are mostly corporate fiction. Citing the 2026 AI Engineer Hiring Report, they say public postings account for less than 15% of actual AI hires. The rest comes through specialist recruiters who track candidates on GitHub and Hugging Face, employee referrals through lab peers and co-authors, direct networking at hackathons and builder meetups, and job boards. They add that AI tools mass-applying meet employer tools auto-rejecting, and that up to 20% of listings may be ghost jobs. A separate role brief sharpens the point: the AI-native startup wants a forward-deployed engineer who has shipped in messy warehouses and ERP systems, not someone who only prompts Claude from a couch.
- **Employer reputation and working conditions decide who can hire**: Kielinski argues that local tech employers earn or lose candidates through how they actually operate. A post listing seven Philadelphia-area companies frequently placed on no-hire or do-not-recruit lists gives reasons: outsourcing reversals at Vanguard, technical debt and disorganized IT at Comcast, a stagnant stack at Independence Blue Cross, buggy legacy systems and bureaucracy at SEPTA, repeated IT reorganizations at Aramark, cyberattack stress at Temple Health, and disconnected tech leadership at Day & Zimmermann. The opposite case appears in MSP job posts that sell no on-call, 7+ year average tenure, benefits, and a path to vCIO. Their point is practical: burnout, chaos, and poor tech leadership are hiring problems, not just employee problems. Ask for the underlying lists; the post does not verify a ranking.
- **Make the first line a mini-billboard**: Kielinski argues that a LinkedIn headline should do the work a recruiter would otherwise have to guess at. The recurring formula is role, top three skills or certifications, and industry, separated by pipes or bullets. They give examples by career stage, from early-career full-stack, data, and security roles through mid-level DevOps and mobile roles to senior architecture and executive leadership. The advice: use the market title when an internal title hides the actual work, remove question marks and guesswork, and make the stack readable at a glance. They also supply Boolean search strings that recruiters use to find profiles by title and city, reinforcing that discoverability is part of positioning.
- **Treat the search as a psychological marathon, not a single rejection**: Kielinski argues that a tech job search has an emotional arc that candidates and outplacement programs need to address. They map five stages: unbounded optimism, the ATS black hole, the interview gauntlet and ghosting, the existential pivot, and practical enlightenment. The final stage trades title prestige and perks for a sane team, an honest product, clear expectations, and a steady paycheck. In a layoff post, they cite survey figures: 63% of 1,000 laid-off tech professionals started their own company, 40% of those waited 6–12 months, and nearly 2 in 5 who found new jobs changed occupations or industries. Their conclusion is that the first move after a layoff is often not the final move, and that a mentor can shorten a messy search.

## Work to read

- [The best tech headlines do more than state a job title](https://www.linkedin.com/posts/t-brad-kielinski-philadelphia-tech-recruiter_the-best-tech-headlines-dont-just-state-activity-7483494412547780609-9bQi)
- [The 'Unspoken Filters' crushing tech job searches right now](https://www.linkedin.com/posts/t-brad-kielinski-philadelphia-tech-recruiter_recruiting-techhiring-jobsearch-activity-7496936724925808640-T2Wm)
- [Top 7 Philly companies on 'no-hire' or 'do not recruit' lists](https://www.linkedin.com/posts/t-brad-kielinski-philadelphia-tech-recruiter_here-are-the-top-7-companies-in-the-philly-activity-7439836057119911936-oLzG)
- [My favorite corporate fiction is the 'Apply Now' button](https://www.linkedin.com/posts/t-brad-kielinski-philadelphia-tech-recruiter_ai-techhiring-recruiting-activity-7491463237406863360-__nZ)
- [Lula Commerce raises $8m Series A](https://www.linkedin.com/posts/t-brad-kielinski-philadelphia-tech-recruiter_lula-commerce-a-philadelphia-pa-based-provider-activity-7389320204566089728-mdrr)
- [Tech on Tap Tour at Flexential's data center](https://www.linkedin.com/posts/t-brad-kielinski-philadelphia-tech-recruiter_techontap-networking-datacenter-activity-7464992558708998145-LUqb)
- [The tech job search has transformed dramatically](https://www.linkedin.com/posts/t-brad-kielinski-philadelphia-tech-recruiter_jobsearch-support-outplacement-activity-7494435994847563778-LLZW)

## Brand relationships

- **IT Pros – Philadelphia** (owned_business)
- **Lula Commerce** (mention)
- **Voomi Supply** (mention)
- **Ethermed** (mention)
- **Flexential** (mention)

## Partnerships

Across 24 LinkedIn posts, T. Brad Kielinski promotes technical searches for employers, hiring support, outplacement for displaced tech workers, one-to-one job-search coaching, candidate promotion, and Philadelphia tech community events through IT Pros – Philadelphia. They also promote free workshops and a data-center networking event. The posts do not specify sponsorship terms, rates, or a brand-content format. Before pursuing a collaboration on hiring-market insights, ask about deliverables, disclosure, approval rights, exclusivity, audience data, pricing, and the scope and business objective.

## Alternatives

- Daryn Edelman, M.A., C.P.R.W: Choose Daryn Edelman when the collaboration should center on the interview stage: how candidates should question employers, what makes for a strong interview conversation, and how employers can structure interviews to reveal fit. The posts offer a ready-made question bank organized by recruiter, job, team, manager, and company vision.
- Russell Mikowski: Choose Russell Mikowski when the collaboration needs assessment-led candidate differentiation or an executive-search case. One post describes attaching a PRISM personality profile to applications after 500 rejections; the other is a CRO search for a first US hire at a Middle Eastern banking platform. That fits a series on how candidates stand out and how senior revenue roles are scoped.
- Ghazi Benothman: Choose Ghazi Benothman when the collaboration targets deep-tech founders or investors and AI adoption analysis rather than employer hiring tactics. The posts cover Tunisia’s position in the Anthropic Economic Index and a €50,000 small-ticket program for first-time deep-tech founders. That supports a founder-facing series on AI markets and early-stage backing.

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AI-assisted summary of public posts. Audience demographics are not available. Engagement appears only where we checked recent posts. Method: https://b2binfluencer.marketing/methodology/