Metaview Raises $60M Series C for Agentic Recruiting

More applications should create more choice. In recruiting, they can create a longer queue, slower replies, and more room for the original hiring brief to dissolve between systems. Greenhouse's 2026 benchmark data shows annual applications per recruiter rose 412% from 2022 through 2025 while average recruiter headcount per organization fell 56%.

Metaview has raised a $60M Series C to attack that operating problem with AI agents that share context across the hiring process. Insight Partners led the September 30, 2026 financing, with GV, Intrepid Growth Partners, Seedcamp, Vertex Ventures US, Plural, and Garuda Ventures participating. Metaview says the round brings its total funding to $110M.

The transaction matters because recruiting software is moving beyond isolated assistants that summarize an interview, write an email, or screen one application. Metaview is betting that the more valuable layer will remember what a company needs, carry that context from intake through final decision, and let specialized agents act without taking judgment away from people.

What Metaview Is Building

Siadhal Magos and Shahriar Tajbakhsh founded Metaview in 2018 after building teams at Uber and Palantir. Magos serves as co-founder and CEO, and Tajbakhsh as co-founder and CTO. The company began by capturing recruiting conversations and turning interviews into structured notes. Its platform now spans sourcing, outreach, application review, screening, interview notes, and reporting.

That progression creates the logic behind agentic recruiting. A hiring manager's intake call defines the role, recruiters refine the target, candidates create new evidence, and interviews change the team's understanding of what good looks like. Metaview's pitch is that agents can act across those stages because they operate from a shared layer of hiring context rather than separate prompts trapped inside separate tools.

The newest piece is fillmore, an autonomous recruiting coworker that finds candidates, writes personalized outreach, manages follow-up, and books screening calls. Metaview says people remain in control of the criteria and every final hiring decision. That boundary is commercially important: automation can expand capacity, but employers still have to explain why a candidate advanced, protect candidate data, manage bias, and own the consequences of the hire.

Why the Series C Arrives Now

Metaview reports more than 7,000 customer companies and more than 6 million interviews captured. Its financing release names Deel, Affirm, Navan, and Replit among its customers, while Insight Partners says some customers have reduced time to hire by more than 75%. Those are company and investor-reported results, not independent guarantees, but they show the scale of the workflow Metaview is trying to consolidate.

The market pressure is visible beyond the company's own numbers. Greenhouse analyzed more than 640 million applications across more than 6,000 companies and found that application volume grew while recruiting teams shrank. AI made it easier for candidates to produce and submit applications, but the receiving organizations did not gain the same amount of human attention. That leaves recruiters with a filtering problem, candidates with longer silences, and hiring managers with more ways to lose the original job criteria between handoffs.

Point solutions can speed up one task while making the system harder to understand. A sourcing agent may produce candidates, a screening tool may rank them, and an interview notetaker may summarize conversations, yet none necessarily carries the same definition of the role. Metaview's Series C is a bet that shared memory becomes the connective tissue between those actions.

How Metaview Will Use the Capital

The company plans to expand its platform with additional specialist agents, including a dedicated screening agent, while bringing fillmore into general availability. Metaview also intends to grow from 80 employees to 250 by the end of 2027 and open a New York office alongside teams in London and San Francisco. Its careers page lists hiring across engineering, product, design, and go-to-market functions.

Metaview will also invest in 10x Recruiting, its community and training program for recruiters, talent operations professionals, and hiring leaders. The program reflects a second part of the company's thesis: software adoption alone will not create an agentic recruiting function. Teams need people who can define the work, set guardrails, evaluate outputs, and improve the system as roles and markets change.

The Series C follows a $35M Series B led by GV in June 2025 and a $7M Series A led by Plural in March 2024. Metaview also acquired AI-native recruiting company Reval in August 2026 to accelerate fillmore, adding operating experience from a team that had used AI to source, screen, and deliver candidates.

What the Investment Signals

Insight Partners is backing more than a larger recruiting application. Its investment rationale argues that hiring outcomes depend on context generated in intake calls, interviews, and debriefs, not only on records stored in an applicant tracking system. The firm sees Metaview's accumulated recruiting context as the basis for agents that can work across the funnel.

That thesis still has to survive the messy parts of hiring. Different managers define quality differently, candidate data requires careful governance, and a system that acts more often must make its reasoning easier to inspect. Metaview's site lists SOC 2 Type II, GDPR, and CCPA compliance and describes audit trails and human controls, but enterprise adoption will depend on how those controls perform inside real hiring policies and legal environments.

The $60M gives Metaview room to turn a successful interview-intelligence product into a broader operating layer for recruiting. The opportunity is large because the administrative load is large. The obligation is equally clear: the more work the agents absorb, the more faithfully the platform must carry the hiring team's intent from the first conversation to the final human decision.