94 free resources on this topic. Everything here is free and hand-picked. You can also search within this topic.
A Substack newsletter on hiring trends and job market conditions written from inside recruiting, with posts on how employers screen and select candidates. Free posts are available to read and subscribe to by email.
A KDnuggets guide by Vinod Chugani that goes round by round through current data science hiring processes, including AI-assisted coding rounds and generative AI evaluation questions, and lists ways candidates can prepare.
Reviews research on wage growth and onboarding performance among workers who change employers. Discusses why hiring teams may assess accomplishments, reasons for moves and adaptability rather than treating short tenure as an automatic warning sign.
ManpowerGroup's quarterly hiring outlook for tech and IT services, based on responses from 4,258 employers in 42 countries collected in July 2026. Available as an online viewer and PDF.
The Guardian’s October 23, 2026 article examines Anthropic’s account of how AI agents have changed its workforce and hiring. Researchers question the report’s methods and whether its company-specific findings establish wider labor-market effects. Anthropic did not respond to the Guardian’s request for comment.
Resume Now's report comparing Bureau of Labor Statistics projected employment growth for 2025–2035 across 70 U.S. occupational groups with employee reviewers' outlook on their employers' futures.
Korn Ferry's Talent Trends 2027 outlook on skills-shifting in the workforce.
Nikhyl Singhal examines changing job-search advice through three leaders’ moves to Runway, Eli Lilly, and Google Search. The publicly readable article discusses hands-on AI experience, leadership skills, and evaluating opportunities at startups and established companies.
Western Governors University's second annual Workforce Decoded survey of more than 3,100 U.S. hiring professionals, examining how AI is changing the skills employers need and how they verify that candidates actually have them.
Anthropic analyzes internal employment, hiring, AI-use, output and survey data alongside employee interviews. Reports changing junior technical hiring and productivity patterns as agent use expands, with human attention becoming a bottleneck; this employer case study is not representative of the whole labor market.
Essay (October 15, 2026) on falling demand for frontend and junior developer roles, citing Djinni job-board data and Indeed Hiring Lab software-posting figures.
Palo Alto Networks hiring manager Fionnuala Zinnecker shares what helps non-technical and career-change candidates stand out in cybersecurity hiring, with a live Q&A on framing your background and leaving a lasting impression.
Quarterly roundup from TechServe Alliance, the IT and engineering staffing trade association, on the five labor-market signals from Q3 2026 that matter most for tech hiring and staffing.
TestGorilla's 2026 survey of more than 1,000 talent professionals on how recruiting has changed, finding that sourcing candidates is easier while judging who can do the job is harder.
Ratio Institute Working Paper No. 388 (Lodefalk, Löthman, Koch, Engberg) on how generative AI relates to hiring across age groups. Free PDF.
A web tool from Performance-based Hiring ("Moneyball for HR") that estimates the odds a candidate will exceed a job's performance objectives at the one-year mark, using evidence of past performance instead of interview impressions. Includes a sample report.
Free online courses from recruiting-software company Ashby on hiring analytics, recruiting practices and talent trends. A free account is required; much of the material is written for Ashby users.
Article on the added regulatory scrutiny US employers face when hiring foreign workers following layoffs.
Generation USA describes how its training-and-placement model aims to reduce hiring risk and improve efficiency for employers, arguing the global hiring system leaves capable adults overlooked.
eFinancialCareers interview in which Jane Street's CTO explains what the trading firm looks for in engineers.
Why I recommend it: One elite firm's view — its bar is unusually high, so don't treat it as typical.
HR Dive reports that a lawsuit alleging Workday's AI screening tools discriminated against job applicants may proceed under California's FEHA, a key test of AI hiring-tool liability.
Why I recommend it: HR Dive blocked our automated check, so confirm the article opens for you; the case is ongoing, so treat outcomes as unsettled. If you use AI screening in hiring, this case matters.
angld.ai analysis of 20,973 posts on Reddit's r/recruitinghell finding that being ghosted after applying now rivals rejection as job seekers' top complaint.
Why I recommend it: Written by angld.ai, which sells a paid tool for reaching hiring managers directly — the answer to ghosting it points to is its own product. Reddit complaints also skew toward the most frustrated job seekers.
Peter Kuhn and Trevor Osaki survey people on which kinds of hiring and pay discrimination they consider unfair, and why.
Why I recommend it: A working paper based on survey attitudes — it tells you what people think is fair, not what the law allows.
How common fake or dormant job listings are, the survey data behind the estimates, and where proposed ghost-job laws stood as of September 2026.
Why I recommend it: Written for employers, but useful for job seekers: it explains why a listing may never be filled so you can spend your applications wisely.
A duty-by-duty walkthrough of California's automated decisionmaking technology rules — approved 23 September 2025, in effect from 1 January 2026, with ADMT obligations from 1 January 2027 — and where each duty can actually be enforced in a system. Covers pre-use notice, opt-out, human review, appeals and per-decision record keeping. The rules apply when computation replaces human judgment on a significant decision about work, money, housing, education or health.
Why I recommend it: The clearest free explanation I have found of what these rules require, and the section on significant decisions is directly relevant if an employer screens you by machine — you get notice, an opt-out and a route to a human. Read it knowing DeepInspect sells the kind of control it describes, so the framing pushes toward buying a product; the legal dates and duties are checkable against the state agency's own page, which it links.
Open-access study tracking 183 Canadian co-op students applying for full-time jobs. Applicants whose resumes and cover letters scored higher on detail, clarity, and structure secured substantially more interviews and found jobs faster — even after controlling for experience, achievement, and tailoring.
Why I recommend it: Open-access, peer-reviewed short communication. The key takeaway is that writing quality matters as a hiring signal, but the sample is students in one co-op program, and the authors note this also means the same signals can be generated by tools like ChatGPT.
Job board built around company culture, pairing curated listings with an AI-powered application autofill and a Slack community for peer career support.
Why I recommend it: Free to search and apply. The AI autofill can speed up repetitive forms, but review every answer before submitting — a hiring manager's first impression should be yours, not the model's.
A one-person investigation unit that documents fake job listings, cloned company pages and hijacked LinkedIn profiles, then gets them taken down. The case files show exactly how each scam was built: duplicate listings posted under a real employer's name and logo across several states, applicants routed off LinkedIn to a lookalike careers site, and a resume drop at a domain with no connection to the company. The site claims 58,559 fake jobs and 7,000+ fake profiles removed from LinkedIn.
Why I recommend it: Read two or three cases before your next application round. Once you have seen the pattern — an unfamiliar careers domain, a logo lifted from the real employer, the same listing in a dozen states — you will spot it in seconds. Two honest limits: the takedown counts are the author's own figures with no independent audit, and the author is anonymous, so treat the method as the useful part rather than the totals.
A free job board covering openings across the Tech:NYC network — the industry group representing New York tech employers. It was showing 7,816 live jobs when I checked, and it is deliberately weighted towards in-person New York roles rather than remote listings. Filters cover job title and keyword, seniority, salary and company, and a separate tab lets you browse the member companies themselves, which is useful even if you never apply through the board. You can join their talent network and set job alerts free. Listings are aggregated by Getro, so the postings live on each employer's own site and the board is a directory pointing at them. Not just engineering: the roles on show ranged from banking and accounting at J.P. Morgan to enterprise sales at OpenAI to brand and communications work.
Why I recommend it: Use the company browser before the job list. Because every employer here is a Tech:NYC member, that tab is a ready-made target list of New York tech companies — and reaching a hiring manager at one of them directly beats being applicant 400 on the board. Two honest notes: the count changes daily and an aggregated board can carry stale postings, so always confirm the role still exists on the employer's own careers page before you invest time in a tailored application; and because it is New York-focused by design, it is the wrong board if you need remote work.
Hiring guides, salary context and role descriptions for data positions, published by a data-focused staffing firm.
From the site: As data science recruiters, we love share our insights on the process. Here's a collection of our best resources and tips for recruiters.
Why I recommend it: This is written for recruiters, not candidates — read it that way. It shows you how data roles get scoped and screened before you ever see the posting.
A breakdown of ten new AI job titles — from agent orchestration to evaluations specialists — with what each role actually does and what hiring managers screen for.
From the site: Discover the 10 fastest-growing AI roles in 2026. Learn who to hire for ethics, UX, prompt engineering, and more. Stay ahead with AI talent.
Why I recommend it: Written to help companies hire, which makes it a clear read on the titles and skills being asked for right now if you are aiming at AI work.
A vetted marketplace matching senior engineers, researchers and AI specialists with companies. Free for engineers to apply and be matched; companies pay only on hire.
From the site: Hire global, AI-first engineers with Index.dev. Skip delays and scale your tech team with pre-verified, secure, and compliant talent to build faster.
Why I recommend it: Free on the candidate side — you are the product being placed. Expect a real vetting process rather than a quick apply button.
Articles on building and managing remote engineering teams, offshore hiring, and the day-to-day of software delivery — free to read.
From the site: Explore the nCube Blog for expert insights on software development, team building, and the latest tech trends. Stay updated and empower your business with knowledge.
Why I recommend it: A staffing company's blog, so it argues for hiring remote teams. Useful for understanding how distributed engineering teams actually get staffed and run.
Current openings in data engineering, analytics and data science posted by Dataspace, a staffing firm that specialises in data roles.
From the site: Browse open data science contract jobs, including data science, engineering, and analytics roles at industry-leading companies nationwide.
Why I recommend it: A niche board rather than a big one. Worth a look precisely because far fewer people are applying through it than through the giant sites.
Venture firm's blog on building companies: hiring, product, go-to-market and AI, written by its partners and founders.
From the site: News & insights from Greylock — portfolio news, Greymatter essays, and firm news.
Why I recommend it: Written to attract founders, so it is optimistic about starting things. The operational posts on hiring and early product are the practical ones.
Workplace and tech news site covering AI, careers, startups and hiring, with a focus on the Indian tech industry.
From the site: OfficeChai is India’s top platform dedicated to the workplace, office buzz and Indian business. We profile interesting startups, feature inspiring career stories, break news from the corporate world, and provide a glimpse of the work culture at top organizations. - See more at: https://officechai.com/about/#sthash.deB…
Why I recommend it: Useful for AI hiring and workplace stories that Western outlets skip. Short posts, so treat them as pointers.
An application form to present your work to The Shortlist's hiring network — for candidates who want to be seen by employers, and for companies who want to hire from the same pool.
From the site: Made with Tally, the simplest way to create forms.
Why I recommend it: A short form, so it costs you ten minutes. Write the answers as if a hiring manager reads only those — no CV attached to hide behind.
Research and commentary on hiring, skills and the labour market from Four One Insights, free to read.
From the site: Explore thought leadership on workforce trends, emerging technologies, and skills development with FourOne Insights. Stay informed on the latest industry insights.
Why I recommend it: Analysis from a firm that sells into hiring teams, so read the recommendations with that in mind.
The raw feed of everything just posted to Hacker News: launches, job posts, essays and outages, hours before it reaches the front page.
Why I recommend it: Skim it once a day rather than reading it all. Great for spotting new tools and hiring threads early.
Free English-language coverage of the Israeli technology sector — funding rounds, startup exits, hiring trends and defence-tech developments.
From the site: CTech - Israeli Tech and Start up News
Why I recommend it: Useful if you are tracking startup hiring or fundraising outside the US news cycle.
Free essays on startups, hiring, productivity and ambition from OpenAI's CEO, including the widely read "How to Be Successful" and startup playbook posts.
Why I recommend it: Dated in places but still one of the clearest free reads on early-stage company building.
Personal essays from OpenAI's president on engineering careers, hiring, self-teaching and building technical teams.
Why I recommend it: His writing on how he taught himself and how he hires is the useful part — read those posts first.
Free reports from the Computing Research Association on evaluating computing researchers, undergraduate AI education, hiring and tenure practices, and building research capacity.
Why I recommend it: Useful if you are heading into academia or research hiring — it spells out how committees are told to evaluate people.
A free platform matching job seekers with public-interest and government roles: create a profile once and get matched with state and local government employers hiring.
Why I recommend it: Worth a profile if you want stable, mission-driven work. Government hiring is slow, so start earlier than you would in the private sector.
Free job board and staffing service from one of the largest talent agencies in the US: search openings by role and location, upload a resume once, and get matched with recruiters for temporary, contract and permanent roles across administrative, light industrial, technology, finance and healthcare work.
Why I recommend it: Worth registering even if you are not applying today — recruiters here often work roles that never get posted publicly, and the intake is free to job seekers.
A directory of worker-owned technology cooperatives you can hire instead of a conventional agency.
Why I recommend it: Practical if you or a client need tech work done and want a different ownership model.
Y Combinator's free job platform listing thousands of engineering, design, sales, operations and internship roles at YC-funded startups, with one profile that founders can contact you through.
Why I recommend it: One application profile puts you in front of hundreds of funded startups. Great for early-career people who want responsibility fast; filter by "internship" and by how much experience is required.
A free job platform for startup roles, filterable by skills, location, work type, industry and company size, with browsing by role and by city.
Why I recommend it: A focused place to look if you want a startup rather than a large employer.
A free conversation with Veronica Salcido of GrowthAssistant on hiring for durable skills that outlast specific tools, and what that means for how candidates present themselves.
Why I recommend it: Hear how a hiring leader actually judges candidates, then mirror that language in your applications.
Job market data drawn from employer career sites since 2007 — 350+ million postings used for hiring-trend research, competitive analysis, and investment research.
Why I recommend it: Not a job board — it is where the hiring trend numbers come from. Handy when you want evidence about a field instead of vibes.
Research from Specific Resume on what really happens to resumes at high-volume job openings — most are never opened by a human, and the true gatekeeper is a time-starved recruiter rather than the applicant tracking system everyone fears.
Why I recommend it: Read this before you spend another weekend keyword-stuffing for the ATS. The takeaway is to make the top third of page one obviously relevant to one specific role, and to find a human path in alongside the application.
A curated list of recruiting and job-search resources from Knak Digital, covering career coaches, resume services, job boards, and hiring guidance for both candidates and employers.
Why I recommend it: A useful index if you are looking for vetted career coaches, resume writers, or recruiting partners; browse both the job-seeker and employer sections.
A connected-candidate recruiting platform that matches job seekers with employers based on skills and fit, with tools for both candidates and hiring teams.
Why I recommend it: A niche job-matching option worth testing alongside the larger boards; set up a profile and see what roles it surfaces for your skills.
How AI-powered applicant tracking systems parse resumes and what candidates can do to stay readable and authentic.
Why I recommend it: Practical look at the hidden instructions resumes trigger in AI screening tools.
Open roles at SYNRG, posted on the company UltiPro job board.
Why I recommend it: Direct employer board — check regularly for posted openings.
A September 2026 working paper by Brian Jabarian (Carnegie Mellon) and Luca Henkel (Erasmus Rotterdam) reporting a field experiment with 70,000 real applicants randomly assigned to be interviewed by a human recruiter or an AI voice agent. Applicants interviewed by AI were 12% more likely to receive an offer, with higher job starts and retention and no drop in on-the-job productivity. Transcript analysis traces the gain to more structured, consistent interviews that still adapt to each applicant.
Why I recommend it: If you have been told AI interviews are stacked against you, this is the largest piece of real evidence so far and it points the other way: consistent, structured questions helped candidates more than a tired recruiter on their eleventh call did. Prepare for them like any structured interview, with clear, specific answers.
Created by Brian Jabarian and Luca Henkel
Career and job-search insights from Bryan Creely, a corporate recruiter of 25 years, covering layoffs, resumes, interviews and how hiring decisions actually get made.
Why I recommend it: Recruiter-side perspective on why applications get rejected. The free articles and videos are the useful part.
A LinkedIn article by Alex Pyatkovsky on what interviewing with more than 100 companies in a single year revealed about how hiring processes really work.
Why I recommend it: A first-hand account of a long search. Useful for calibrating expectations.
Recruiting and talent-operations blog covering hiring processes, applicant tracking systems, and how recruiters actually evaluate candidates.
Why I recommend it: Reading recruiter-facing blogs tells you what happens after you hit submit. That context changes how you write applications.
Blog on recruiting automation, candidate screening, and conversational AI in hiring, from a recruiting-technology company.
Why I recommend it: Learn how AI screening works so you can write applications that survive it.
A free calculator estimating the true cost of hiring an employee in a given country, including taxes, benefits and statutory contributions.
Why I recommend it: Useful in both directions: founders get a real number before their first hire, and candidates get a sense of what an employer actually pays beyond salary.
A recruiter-run roundup of career coaches and resume writers, with plain talk about what each type of help actually does and when you do not need to pay for it.
Why I recommend it: I like that this comes from someone inside recruiting. Read it before you hire anyone to rewrite your resume.
Free live conversation with Matt Wilson, CEO of Jack & Jill, on where hiring is heading, hosted by Hung Lee's Brainfood community. September 15, 2026, 2:00 PM BST.
Details: Listening to recruiters talk shop tells you more about how hiring really works than most job-search advice does. Free, and the replay is usually up afterwards.
Western Digital's candidate hub with current openings, hiring events, and what the company looks for across engineering, manufacturing, and operations roles.
Why I recommend it: Company-run hiring hubs like this often list roles and events before they hit the big boards. Worth a look if hardware or manufacturing is your lane.
Gergely Orosz's blog on software engineering careers, hiring markets, and how tech companies really work.
Why I recommend it: The clearest reporting on tech hiring conditions I know of. Read it before you believe anything about the job market.
Korn Ferry's research on how AI is changing screening, sourcing, and hiring decisions.
Why I recommend it: Read this to understand what is actually reading your application on the other side, and write for that reality.
Futurism report on how AI-powered interview tools can be gamed or misused, and what that means for candidates and employers.
Why I recommend it: Worth reading before you assume AI interview tools are neutral arbiters of talent.
Playbook for building hiring relationships long before the roles you want exist.
Why I recommend it: This is the work most people skip until they need a job. Ten conversations a quarter now saves you a desperate search later.
Tracker of AI hiring regulations, enforcement actions, and bias-audit requirements affecting employers and candidates.
Why I recommend it: Worth bookmarking if you suspect an algorithm screened you out. Knowing the rules employers must follow gives you language to push back.
A recurring free webinar series on hiring, job search strategy, and talent topics.
Why I recommend it: A standing series rather than a one-off date, so check the current schedule before you plan around it.
Every year, HR Executive spotlights 100 professionals who are making a real difference in how the world works and how technology supports it.
Why I recommend it: A useful starting point for anyone building an inclusive hiring or HR tech practice. Follow these voices to stay ahead of how technology is reshaping work.
City-funded training and recruitment support program that helps NYC employers hire, train, and retain local talent for entry-level and middle-skill roles.
Why I recommend it: A strong local resource for NYC-based entrepreneurs and hiring managers who want subsidized training pipelines rather than guessing at recruitment budgets.
An in-person networking event in New York City for engineers, product managers, and technical professionals navigating layoffs or searching for their next opportunity, co-hosted with 645 Ventures portfolio startups that are hiring.
Details: I love the bell-ringer format: every 10 minutes you meet someone new. If you are a recently impacted tech worker in NYC, this is one of the warmest rooms to walk into.
Research report analyzing 19,368 interviews to understand how generative AI is changing technical recruiting, integrity screening, and candidate evaluation norms.
Why I recommend it: This one matters for anyone hiring or being hired in tech right now. It surfaces the real tension between assistive AI tools and interview fairness.
A free calculator that estimates the business cost of slow or poor hiring, including vacancy cost, time-to-fill, and turnover impact.
Why I recommend it: Handy on both sides of the table: hiring managers can justify a better process, and candidates can learn what an empty seat actually costs.
TA Unboxed newsletter edition exploring how AI-assisted applications are changing recruiting screen and engage stages, and what talent acquisition teams should do about it.
Why I recommend it: Read this to understand the recruiter's side of the desk. The same AI tools candidates use are flooding their applicant tracking systems, which changes how you should stand out.
A review site for hiring processes rather than for employers. People score what actually happened to them while applying and interviewing — ghosting, unclear timelines, recruiter communication, the rejection itself — and companies get a visible score out of ten.
Why I recommend it: Free to search and free to leave a review. Read it the way you read any review site: self-selected, and people write when they are angry. A handful of bad reports is noise; a pattern of the same complaint across many reports is worth asking about in the interview.
Local reporting on the growth of New York's artificial intelligence sector — which companies are hiring, where the funding comes from, and which neighborhoods anchor it.
Why I recommend it: Regional reporting names employers you will not find on a job board. Turn the company names into a target list.
WIRED report on candidates using AI to answer interview questions while employers use AI to screen and score them, and what that arms race does to hiring.
Why I recommend it: Know the screening you are up against, then be the human in the room. Over-scripted AI answers are exactly what these systems flag.
Unfiltered job seeker community documenting bad hiring practices, ghost jobs, and interview horror stories.
Why I recommend it: Read it for pattern recognition, not morale. It will show you what to expect so a bad process does not feel personal.
3-minute AI-assisted assessment based on Lou Adler's BEST personality test to help interviewers recognize which candidates they systematically misjudge.
From the site: Specialized AI assistants and templates for performance-based hiring workflows
Why I recommend it: Helpful for understanding what interviewers actually look for—and the biases that shape first impressions. Use it to prepare smarter, not just harder, whether you are interviewing or being interviewed.
Searchable directory of thousands of YC-backed startups with stage, industry, location, and hiring links.
Why I recommend it: Filter by industry and location to build a target list of small companies where one hiring manager makes the call. Also a fast way to research startup models before building your own.
On-Ramps is a full-service executive search firm that exclusively serves the social sector, working with innovative, mission-driven organizations across diverse issue areas.
From the site: On-Ramps is a full-service executive search firm that exclusively serves the social sector, working with innovative, mission-driven organizations across diverse issue areas.
Why I recommend it: Useful for mission-driven job seekers and nonprofits hiring senior talent.
We build teams, so you can build movements. NRG connects top-flight candidates who do excellent work with organizations in need of exceptional talent, with a nationwide progressive talent network.
From the site: We build teams, so you can build movements. NRG connects candidates with mission-driven organizations through a nationwide progressive talent network.
Why I recommend it: Progressive talent network for mission-driven hiring and career moves.
The go-to executive search firm for nonprofits and philanthropy. We help build and guide strong, diverse teams for mission-driven organizations.
From the site: Leadership for a better world. We help build and guide strong, diverse teams for mission-driven organizations.
Why I recommend it: Executive search firm focused on nonprofit and philanthropic leadership placement.
Our work is powered by people. Established experience. Startup energy. DRG helps mission-driven organizations build and guide strong teams.
From the site: Our work is powered by people. Established experience. Startup energy.
Why I recommend it: Consulting firm supporting social-impact organizations with talent and strategy.
One of the largest data center operators in the world, CBRE recruits, trains, and places technicians — including fiber technicians — to run mission-critical infrastructure for major cloud and AI operators.
Why I recommend it: Operators like CBRE do the hiring even when the training carries a tech company's name. Watch their careers page for technician roles.
Nonprofit promoting full workforce participation for people with disabilities; publishes the Disability Inclusion Blueprint tracking employer hiring and promotion outcomes.
In plain terms: This nonprofit organization works to increase employment and workplace inclusion for people with disabilities. You can take online training courses, join a supportive network, and find resources to advance your career.
Why I recommend it: Their employer ratings help you target companies that actually follow through on inclusion.
Disability Advocate, Speaker. Advocate with cerebral palsy addressing hiring discrimination, workplace tokenism, and the disability unemployment gap.
In plain terms: This is the LinkedIn profile of a disability advocate and speaker. Follow him to learn about navigating job accommodations, fighting hiring discrimination, and advocating for disability inclusion at work.
Why I recommend it: Honest about what hiring actually feels like with a visible disability.
The IRS test for classifying workers, plus what a 1099 filing actually requires of you as the payer.
In plain terms: This official IRS guide explains the rules for determining whether a worker is an independent contractor or an employee. Use it to understand tax obligations, classify workers correctly, or find forms to report a misclassification.
Why I recommend it: Misclassifying a worker is one of the most expensive small mistakes a new owner can make. Read this before you pay anyone.
Step-by-step guide to hiring your first employee: EIN, state registration, payroll taxes, and required posters.
In plain terms: This government guide outlines the basic legal and financial steps for hiring workers. You can use it to set up payroll, complete required tax forms, and follow federal and state employment laws.
Why I recommend it: Your first hire is a paperwork event as much as a people event. This is the checklist.
Official USAJOBS instructions for the federal resume format — required details, hours per week, and the length federal HR actually expects.
In plain terms: This official guide explains how to upload or build a resume on USAJOBS. You can use it to follow federal formatting requirements and save up to five resumes to your profile.
From the site: Official guidance on building and uploading a federal resume in USAJOBS.
Why I recommend it: Federal resumes break the one-page rule on purpose. Follow their format exactly.
Talent network connecting engineers and operators with fast-moving startups.
In plain terms: This free talent network connects engineers and operators with early-stage startups. You can sign up once to get direct introductions to founders who are actively hiring.
From the site: Join the speedrun talent network. One signup. Warm intros to founders. Hundreds of placements across the portfolio. Free for candidates, always.
Why I recommend it: Startup networks like this move fast. Keep your profile current so you are in the batch when they source.
Job board for social impact technology roles at nonprofits, government, and mission-driven companies.
In plain terms: This job board features technology roles focused on social impact. You can find openings at nonprofits, government agencies, and mission-driven companies.
Why I recommend it: Fewer listings than the big boards, but a much higher share worth applying to.
