About SearchSteward

SearchSteward started as a scrappy tool founder Eric DiPietro built to survive his own job search. Refreshing forty career pages, triaging hundreds of irrelevant listings, and discovering that the "perfect" role had closed before the weekend — the modern job search punishes exactly the people doing it right: the ones running a focused, targeted search.

So he automated it. A system that watches the career pages of the companies you'd actually say yes to, every day, and scores each new opening against your background — so you see the three roles worth reading instead of the three hundred worth ignoring. Beta testers helped shape it through 2026, and it's now a real product.

What we believe

• Speed matters. We tracked 30,827 job postings from open to close: the median lasts about 15 days, and nearly 4 in 10 are gone within a week. Seeing the right role on day one is the highest-leverage change a job-seeker can make.
• Targeting beats volume. Mass-applying gets candidates silently flagged by applicant tracking systems. We optimize what you apply to, not how fast you spam — and we will never auto-apply on your behalf.
• Honest numbers. Our published data comes from the ~16,000 employer career pages we actually track, with methodology notes on every report — a snapshot of our coverage, never dressed up as a claim about the whole labor market.
• Your data isn't the product. One honest price ($19/month, with a free tier that stays free), field-level encryption, no third-party analytics, no resale. Details on our Security page.

What SearchSteward does

You name the companies you'd say yes to. SearchSteward watches their job boards daily across dozens of applicant tracking systems, scores every new role against your profile with the reasons shown, and runs your pipeline from match to offer — tracking, resume tailoring, interview prep, and negotiation support in one place. See pricing or try the free tools — no signup required.

Get in touch

Questions, feedback, or press inquiries: [email protected]. We read everything — especially the parts where the product falls short.