As of 2026, Cognition is actively hiring for 68 open roles, with a significant focus on sales and engineering. This hiring volume indicates a strategic push to scale its operations and expand its market presence, particularly in AI and IT sectors. Understanding the dynamics of their hiring can provide insights for candidates and competitors alike.
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HIRING BY DEPARTMENT, COGNITION
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Sales ████████████████████ 21
Engineering █████████████████░░░ 18
Marketing ████████░░░░░░░░░░░░ 8
AI/ML █████░░░░░░░░░░░░░░░ 5
Operations ████░░░░░░░░░░░░░░░░ 4
Other ████░░░░░░░░░░░░░░░░ 4
SENIORITY MIX, COGNITION
══════════════════════════════════════════════════
Mid ████████████████████ 45
Director ████░░░░░░░░░░░░░░░░ 9
Senior █░░░░░░░░░░░░░░░░░░░ 3
VP █░░░░░░░░░░░░░░░░░░░ 2
Junior █░░░░░░░░░░░░░░░░░░░ 1
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| Metric | Count |
|---|---|
| Open roles | 68 |
| New roles in the last 29 days | 13 |
| Top departments | Sales (21), Engineering (18), Marketing (8) |
| Seniority mix | Mid (45), Director (9), Senior (3) |
| Top locations | San Francisco (30), Tokyo (6), London (6) |
| Last refreshed | 2026 |
Cognition's hiring distribution shows a clear emphasis on sales and engineering roles, with a significant portion of mid-level positions (45). The geographical distribution suggests a strong focus on key tech hubs like San Francisco and Tokyo, indicating where they are likely to attract talent. This mix points to their strategy of building operational capacity and expanding their market reach, particularly in the AI and IT sectors.
The current hiring landscape at Cognition, with 68 open roles, signals an ambitious growth strategy. The focus on 21 sales positions and 18 engineering roles suggests they are ramping up not only their product development but also their market outreach. Cognition's emphasis on sales indicates a need to drive revenue, which is crucial for a Series D company aiming to solidify its market position.
As Elad Gil states in his High Growth Handbook, “The best AI companies don't just screen for skills, they filter for systems thinkers who move fast and build first-principles solutions.” This perspective aligns with Cognition’s hiring approach, emphasizing a need for candidates who can think critically and adapt quickly in a dynamic environment.
The seniority mix leans heavily toward mid-level hires, which can indicate a strategic choice to build a strong middle management layer that can contribute to mentorship and operational efficiency. With 45 mid-level positions open, Cognition is likely aiming to create a more stable workforce that can manage the complexities of rapid growth.
Geographically, the concentration of roles in San Francisco (30), Tokyo (6), and London (6) points to Cognition’s efforts to attract talent from leading tech hubs. This strategy not only helps in sourcing skilled candidates but also aligns with their global expansion plans. Candidates can expect a competitive hiring process, especially given the focus on higher-level roles and the need for candidates who can integrate into a fast-paced environment.
For candidates looking to join Cognition, there are several key factors to consider. First, the company is competing with heavyweights like GitHub Copilot, Cursor, and OpenAI for top talent. This competition means candidates should be prepared to showcase not just their technical skills but also their ability to think critically and innovate.
The trade-offs at Cognition are notable. The company is in a high-growth phase, which often translates to a fast-paced, high-intensity work environment. Candidates should be ready to adapt quickly and embrace a dynamic company culture that prioritizes innovation and results. Additionally, understanding the company’s mission and how it aligns with personal career goals can provide a significant advantage during the hiring process.
Furthermore, candidates should be aware of the interview process. Based on the Ashby 2024 Recruiting Benchmark, the most effective recruiting teams run 2-3 interview stages for senior individual contributors, rather than the more common 5-6 stages. Cognition’s simplified process may mean quicker decisions, but it also raises the bar for candidates to perform well in fewer interactions.
Expect to face a mix of technical assessments and interviews focused on problem-solving and cultural fit. The selection process will likely prioritize those who can demonstrate both technical proficiency and the ability to thrive in a high-growth environment.
If you are a hiring manager at a company like Cursor or GitHub Copilot, understanding Cognition's hiring strategy is crucial. With 68 open roles, Cognition is not just filling positions; they are strategically building a workforce that can push their innovation and market presence forward. This makes them a formidable competitor in the recruitment market.
To compete effectively, companies need to highlight their unique value propositions to attract candidates. Claire Hughes Johnson, in Scaling People, emphasizes that the highest cost in recruiting isn't the salary, it's a slow process that loses A-players to companies that decide faster. In a competitive landscape, speed is essential. Candidates are looking for companies that can make decisions quickly and simplified their hiring processes.
Adopting structured hiring processes, such as defined scorecards for each role, can help competitors fill technical roles faster and with higher offer acceptance rates. According to the Greenhouse 2024 Hiring Benchmark, companies that implement structured hiring practices fill roles 40% faster, which is a critical advantage in a market where candidates have multiple offers.
Additionally, portraying a strong company culture and clear career progression opportunities can attract candidates who might otherwise consider Cognition. Highlighting employee growth stories and showcasing how team members have advanced can create an appealing narrative for potential hires.
Understanding where Cognition's talent is sourced provides valuable insights into their hiring standards and culture. Based on the Recruiting from Scratch Atlas candidate database, we see that a significant portion of current employees come from top-tier companies in the tech sector, indicating a high hiring bar.
Cognition's top feeder companies include:
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TALENT MOVEMENT AT COGNITION, Recruiting from Scratch Atlas Database, 2026
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WHERE TALENT COMES FROM │ WHERE TALENT GOES
──────────────────────────────────┼──────────────────────────────────
Airwallex ( 16) │ Angel Investor ( 1)
Amazon Web Services (A ( 5) │ Muto ( 1)
Amazon ( 4) │ Factory ( 1)
Scale AI ( 3) │
Stripe ( 3) │
──────────────────────────────────┴──────────────────────────────────
29 current + 32 alumni tracked in Recruiting from Scratch Atlas database
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This talent flow shows that Cognition is attracting individuals from high-growth environments that prioritize innovation and technical excellence. The presence of professionals from AWS and Stripe, known for their rigorous hiring processes, suggests that Cognition seeks candidates who can contribute to their ambitious goals.
Cognition’s ability to pull talent from these companies indicates a strong employer brand and highlights the competitive nature of their hiring. Candidates coming from such backgrounds are likely to possess strong technical skills, high adaptability, and a mindset geared toward rapid problem-solving, which aligns with Cognition's operational needs.
Following the career trajectories of Cognition alumni can provide insight into the broader market dynamics. Based on Recruiting from Scratch Atlas internal data, we see that of 32 alumni, the most common destinations include:
This outflow data reveals that even after leaving Cognition, talent tends to enter roles in innovative and growth-oriented environments. This trend underscores the value of experience gained at Cognition, which is recognized in the market as a strong stepping stone for ambitious professionals.
The fact that alumni are moving towards entrepreneurial ventures or positions at emerging companies highlights the agility and skills developed during their time at Cognition. As a recruiter, this information is invaluable when assessing the career trajectories of potential candidates and understanding the competitive landscape for talent.
At Recruiting from Scratch, we observe a competitive hiring landscape, particularly for talent in AI and machine learning. Candidates are in high demand, and companies like Cognition are setting the bar for compensation and expectations. In our database from 300+ placements, we've seen that salary expectations for roles at Cognition hover around the median of $203K, with top talent demanding even higher compensation.
In this environment, closing risks are significant. Candidates often have multiple offers and are looking for companies that not only meet their financial expectations but also provide a compelling vision and culture. The combination of our proprietary tools, like the Atlas candidate database and Spyglass sourcing extension, allows us to proactively source candidates who fit these high expectations.
We average 29 days to hire, which is significantly faster than the industry average of 49 days. This speed is crucial in a market where talent is fleeting. We prioritize understanding each client's unique needs and the competitive landscape to ensure that the candidates we present are not only technically qualified but also culturally aligned.
If you are a Series B AI safety company competing with Cognition, now is the time to refine your hiring processes and highlight your unique value propositions. At Recruiting from Scratch, we can help you navigate this competitive landscape and attract the right talent for your organization. Contact us today to learn more about how we can assist you.
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