Full-Time
Automates candidate screening and matching
$130k - $500k/yr
Company Historically Provides H1B Sponsorship
San Francisco, CA, USA + 1 more
More locations: New York, NY, USA
In Person
Mercor automates the recruitment process by using artificial intelligence to match job seekers with employers. Candidates upload their resumes and complete a 20-minute AI-led video interview, which a large language model analyzes to create a detailed profile of their skills and predicted performance. Unlike traditional recruiters that rely on manual screening, Mercor uses these automated interviews and data-driven matching to vet hundreds of thousands of candidates across various industries simultaneously. The company's goal is to reduce human bias and speed up hiring by providing employers with a pre-vetted pool of talent through a fully automated platform.
Company Size
1,001-5,000
Company Stage
Series C
Total Funding
$483.6M
Headquarters
Menlo Park, California
Founded
2023
People at Mercor who can refer or advise you
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A $20K relocation bonus (if moving to the Bay Area)
A $10K housing bonus (if you live within 0.5 miles of our office)
A $1K monthly stipend for meals
Free Equinox membership
Generous equity grant
Performance bonus
Health insurance
Startup Cybersecurity fundamentals: the pre-series A security checklist for 2026. Afocal Solutions · May 13, 2026 A $10 billion AI startup just got hit with seven class-action lawsuits after a breach exposed contractor recordings, biometric data, and computer screenshots. Mercor, the AI training data company that worked with Meta, OpenAI, and Anthropic, has been served with at least seven class-action lawsuits following a data breach that exposed job interview recordings, facial biometric data, and screenshots of employees' computers. The incident traces back to a supply-chain attack on LiteLLM, an open-source library the company depended on. The incident was linked to a supply-chain attack involving LiteLLM, a widely used open-source library for connecting applications to AI services. If you're a pre-Series A founder reading this and thinking "that's an enterprise problem," you're wrong. Mercor is three years old. The breach happened because of the tools they trusted, not the ones they built. That's a startup-shaped vulnerability, and it will sink your round if investors discover you haven't addressed the basics. Why VCs now require security posture before Series A. The bar has moved. Venture capital firms, particularly those investing at Series A and beyond, increasingly view SOC 2 as an indicator of operational maturity. A SOC 2 report demonstrates that a startup has moved beyond ad hoc processes and built the operational discipline needed to serve enterprise customers at scale. Several prominent VC firms, including Bessemer Venture Partners and a16z, have publicly stated that they view compliance readiness as a factor in investment decisions for B2B SaaS companies. It's not just about compliance theater. As part of the diligence process many VCs will ask about your security posture especially for B2B SaaS. Having a SOC 2 (or a clear plan for one) helps to show them you're serious about both growth and compliance. If you're building anything that touches enterprise customers, the due diligence questionnaire will land on your desk before the term sheet. No security posture, no deal. The numbers back this up. A 2025 survey by Vanta found that 83% of enterprise buyers now require SOC 2 certification from their SaaS vendors before signing contracts. Among companies with more than 5,000 employees, that figure rises to 91%. The survey also found that 67% of startups that obtained SOC 2 certification reported that it directly enabled them to close deals they would have otherwise lost. Pre-Series A security checklist: what actually matters. Not everything matters equally at your stage. Here's the hierarchy: Identity and Access Controls Cybersecurity trends in May 2026 show that your biggest security risk is no longer just software flaws. It is weak identity control, human error, tighter budgets, and faster AI-assisted attacks that hit small teams first. People and identity are now the easiest way in. Phishing, deepfakes, shared logins, old admin access, and careless AI tool use can expose your email, code, payroll, and customer data fast. For a pre-seed or seed startup, this means: enforce MFA on everything (Google Workspace, AWS, GitHub, Slack), eliminate shared credentials, and audit admin access monthly - not annually. Third-Party Risk Management The Mercor and Braintrust breaches both stemmed from dependencies, not direct attacks. AI evaluation startup Braintrust has urged customers to revoke and replace their API keys after an earlier breach of customer secrets. According to an email sent to customers, the startup confirmed "unauthorized access" in one of its Amazon Web Services (AWS) cloud accounts, which contained API keys used by customers for accessing cloud-based AI models. Your vendor's security posture is now your security posture. Third-party risk isn't a compliance checkbox - it's your actual attack surface. At minimum: inventory every third-party tool your team has authorized (especially OAuth connections), review which apps have broad permissions, and remove tools you're no longer actively using. Incident Response Plan You don't need a 40-page playbook. You need to know: who makes the call, who talks to customers, who talks to counsel, and where do you document what happened. It takes companies an average of 241 days to identify and contain a breach. Most of that dwell time comes from not knowing the breach happened. Basic logging and alerting on your cloud console costs nothing and catches most credential abuse early. How to build security into your stack without killing velocity. If you're a founder or engineering leader at a growing startup, you're probably familiar with this tension: You need compliance like SOC 2 to close deals, but earning it pulls your team away from building your product. Manual SOC 2 prep forces engineers to spend weeks collecting screenshots, tracking down documentation, and responding to auditors instead of shipping features. The solution isn't hiring a security team - you can't afford one yet. It's choosing tools that generate compliance evidence automatically. For most cloud-native startups: buy software. A platform costs $8,000-$15,000/year and replaces the bulk of the manual evidence work a consultant would charge $20,000-$50,000 to manage. Use a consultant if your infrastructure is unusual - heavy on-prem, complex custom environments - or if you truly have no internal owner to drive the process. The best setup for most seed-to-Series-B companies is a platform plus 5-8 hours/week of internal time from a technical co-founder or engineering lead for the first 8-12 weeks. Most SaaS companies start the SOC 2 conversation around Series A, when their first $500K to $1M enterprise deal lands in pipeline. Pre-seed and seed startups with only SMB customers usually do not need SOC 2 yet. Don't overspend too early - but don't wait until you're scrambling to close a deal with a 90-day security requirement. The real cost of ignoring security until later. 60% of breaches involve a human element like phishing or stolen credentials. On average, a data breach costs companies $4.44 million. For a pre-revenue startup, that's extinction-level. But the more common failure mode isn't a breach - it's a stalled deal. The worst time to start thinking about SOC 2 is when you have a large, enterprise deal on the line. If you're starting from scratch you're at least 3-5 months away from closing that deal if you want a SOC 2 Type 2 report. Afocal Solutions LLC. has seen founders lose six-figure contracts because they couldn't answer basic security questionnaire questions. That's not a security failure - it's a revenue failure caused by treating security as something you'll deal with "later." Building a security-first culture pre-series A. Small teams often think they are too small to be targeted. In reality, they are often targeted because they are easier to compromise, slower to detect abuse, and more likely to reuse passwords, overtrust tools, and skip boring controls. Attackers love ambition without discipline. The companies that get this right treat security as operational hygiene, not a project. That means: * Running access reviews when someone leaves (same day, not "when we get to it") * Using a password manager company-wide from day one * Requiring phishing-resistant MFA (hardware keys or passkeys) for anyone with production access * Documenting your security decisions, even informally - investors want to see you've thought about this Drata's 2025 "State of Trust" report found that companies with SOC 2 Type II certification closed enterprise deals 35% faster than competitors without certification. For a startup with a 6-month enterprise sales cycle, that acceleration translates to closing roughly one-third more deals per year from the same pipeline. Security fundamentals aren't a cost center. They're a revenue accelerant. Key takeaways. * VCs now treat security posture as a funding prerequisite. Major firms including Bessemer and a16z factor compliance readiness into investment decisions for B2B SaaS companies. * Third-party risk is your actual attack surface. Recent breaches at Mercor and Braintrust originated from supply-chain compromises, not direct attacks. Audit your OAuth connections and vendor dependencies. * Start with identity, not tools. MFA enforcement, access reviews, and eliminating shared credentials cost nothing and prevent the majority of early-stage breach vectors. * Don't wait for SOC 2 until you need it. Enterprise deals require 3-5 months of compliance prep minimum. Build the foundation now or lose deals later. If you're a pre-Series A founder looking to get security fundamentals in place without pulling your engineering team off product work, Afocal's Startup Technology Partner program provides the infrastructure and compliance scaffolding that scales with you through Series A and beyond.
AI platform's 'expert' workforce draws misclassification suit. A class action against Mercor.io Corp. claims the AI hiring startup misclassified lawyers, doctors, engineers and other subject-matter experts as independent contractors while exerting employer-like control over their work. The case could test how traditional employment law doctrines apply to the white-collar gig workforce behind AI training and evaluation.
Streaming round. Streaming round-up - April 2026 The figure of the month: 75 000. That's the number of AI-generated tracks Deezer receives every day. That accounts for 44% of the new tracks uploaded to the platform. More info on Music Business Worldwide. Economy. Deezer Deezer grants the Hungarian organization EJI a license for its AI-based music detection technology. More info on Music Business Worldwide. Instagram According to Luminate, Instagram is now a hub for music superfandom. More info on Hypebot. Meta Meta has paused all contracts with Mercor following a cyberattack on the data provider. More info on Social Media Today. Meta and YouTube have been found liable for negligence in a landmark social media addiction case. More info on the New York Times. Musixmatch Musixmatch launches Sentinel, a service to detect the use of copyrighted music and lyrics in AI and user-generated content. More info on Music Business Worldwide. Spotify A judge has ordered Anna's Archive to pay $322 million for having retrieved 86 million tracks from Spotify. More info on Music Tech. TikTok In compliance with the EU's Digital Services Act, TikTok publishes its first transparency report on hate speech removal in the EU. More info on Social Media Today. TikTok and Cameo partner to offer new monetization opportunities for creators. More info on Digital Music News. X/Twitter Music publishers argue that X's antitrust lawsuit is "retaliation" against their 2023 copyright lawsuit. More info on Music Business Worldwide. The platform has eliminated thousands of accounts in a new bot purge. More info on Social Media Today. YouTube YouTube increases Premium and Music subscription prices in the US. More info on TechCrunch. YouTube extends access to its deepfake detection tool to celebrities and talent agencies. More info on Music Business Worldwide. New features. Amazon Music Amazon Music partners with Bandsintown for concert listings. More info on TechCrunch. Apple Music Apple Music adds Playlist Playground, to generate playlists via voice command, thanks to Apple Intelligence technology. More info on Music Ally. Instagram The platform is testing a subscription, Instagram Plus, to offer new features to creators. More info on Tech Crunch. Instagram adds an AI transition option for still image-based Stories. More info on Social Media Today. Meta is launching Instants, a spin-off app from Instagram. More info on Social Media Today. Soundcloud SoundCloud launches a superfan feature that lets artists release music exclusively to followers before official release. More info on Music Business Worldwide. Spotify Spotify's "Pre-Nostalgia" feature soundtracks users' future memories. More info on Music Ally. Spotify now allows anyone to turn off videos in its app. More info on Tech Crunch. Spotify launches AI credits: artists can now disclose the use of technology in their songs. More info on Billboard. Spotify unveils the 'Listening Lounge', a purpose-built space to host events for superfans. More info on Music Week. Spotify is now accessible on Claude, an integration that facilitates discovery. More info on The Tech Buzz. TikTok TikTok's Add to Music app has surpassed six billion saved tracks. More info on Music Week. YouTube YouTube is testing a video highlights preview feature. More info on Social Media Today. Going further. Bandcamp * Inside Bandcamp: Beyond Streaming with Aly Gillani. Read the article Beatport * Job of the Month #9: Performance Marketing Manager at Beatport. Read the article Deezer * Deezer's magic Flow is now available in Moods. Read the article * Job of the Month #12: Global Music Editor. Read the article Labelcamp * Labelcamp supports Dolby Atmos. Read the article New technologies * Pan European Recording: Leading the way with AI-powered music videos. Read the article * Enter the metaverse, Yndi and ill peach digitize their music. Read the l'article * Jacques has fun with NFT for 'Vous'. Read the article * Maximize engagement with superfans communities. Read the article Qobuz * Inside Qobuz: The French Pioneer of High-Fidelity. Read the article. Soundcloud * Become a Soundcloud expert. Read the article Spotify * Inside Spotify's Made to Be Found: Insights from the Experts. Read the article * Fundamental tips for artists on Spotify. Read the article * Spotify: Jennifer Masset's advice for Indies. Read the l'article * Feature to try: Spotify Clips. Read the article * Feature to try: Spotify Listening PartyRead the article. TIDAL * Inside TIDAL Artist Home: Insights from the Experts. Read the article Substack * A musician's guide to Substack - introduction. Read the article * A musician guide to Substack - strategy. Read the article TikTok * TikTok trends: sped up songs. Read the article * A musician guide to TikTok: Introduction. Read the article * A musician guide to TikTok: Strategy. Read the article * How the IDOL strategy, built on a TikTok trend, helped Else achieve double diamond certification. Read the article * Feature to try: TikTok Artist Account. Read the article User Centric * User Centric: A fairer streaming model is possible. Read the article YouTube * YouTube: Thematic channels. Read the article * YouTube: The official artist channel (OAC). Read the article * YouTube: Sun Records' Rights managements. Read the article * YouTube Series #4: lyric videos. Read the article * Job of the month #19: Label Partner Manager. Read the article Read more articles
Mercor is promising to replicate most professional work. It was also co-founded by twentysomethings who previously never held a real job.
7 questions to ask any AI data vendor after a supply-chain security incident. The recent Mercor reporting has become a useful wake-up call for enterprise AI buyers. Mercor confirmed a security incident tied to a LiteLLM-related supply-chain attack, and reports said Meta paused work with the company while investigations continued. For security, procurement, and AI leaders, the lesson is simple: vendor review can no longer stop at the top layer. 1. Where does your data come from, and how is it governed? Ask for specifics on sourcing, consent, licensing, provenance, retention, and deletion. If the answer is vague, that is a warning sign. Shaip's public guidance around AI data collection emphasizes provenance, documentation, privacy safeguards, and structured collection practices. 2. What third-party and open-source tools are embedded in your workflow? A vendor may appear secure while relying on fragile middleware underneath. You need to know what sits between your data and the final workflow output. This matters more now because Mercor publicly linked its incident to LiteLLM and described itself as one of thousands of companies affected by a supply-chain attack. 3. How do you control access to sensitive datasets and evaluation assets? Access restriction, encryption, audit logging, and data segregation should be baseline requirements. 4. What does your quality assurance process actually look like? Look for measurable practices such as multi-tier review, gold datasets, adjudication, and structured correction loops. Shaip's public positioning around human-in-the-loop quality and LLM training data services supports the idea that quality should be engineered into the workflow, not added as a final check. 5. How do you handle edge cases and ambiguous judgments? In enterprise AI, not everything can be automated safely. Some tasks still require domain-sensitive human review. Shaip's public HITL guidance argues that humans should be placed at the highest-leverage points in the workflow, where judgment and accountability matter most. 6. What proof do you have for compliance and security maturity? Ask for evidence, not claims. Buyers should expect clarity on certifications, audits, and operating controls. Shaip publicly references ISO 27001:2022, HIPAA, and SOC 2 on its compliance page. 7. What happens if your ownership, partnerships, or strategic priorities change? This is where neutrality and customer protection matter. Buyers should ask how their data is ring-fenced, whether the vendor's incentives remain aligned with the customer, and how customer interests are protected over time. Shaip's public article on data neutrality argues that neutrality matters because customers need providers whose incentives are aligned with trust, not competing product agendas. Final takeaway. AI data vendors should not be treated like interchangeable service providers. They sit too close to model quality, IP protection, operational continuity, and enterprise trust. The right partner is not simply the one that can deliver fastest. It is the one that can show how data is governed, how workflows are secured, how quality is measured, and how customer interests remain protected. Shaip's public messaging across its site aligns strongly with that trust-first positioning.