Decagon is actively hiring for 216 open roles as of 2026, with a notable increase of 95 new positions in the last 29 days. This surge indicates a strong push towards growth in engineering, sales, and product development, all critical areas as Decagon focuses on expanding its capabilities in the AI and machine learning sectors. For candidates, this means a wealth of opportunities, while competitors should prepare for an intensified battle for talent.
| Metric | Count |
|---|---|
| Open roles (total) | 216 |
| New roles in the last 29 days | 95 |
| Departments | |
| - Engineering | 92 |
| - Sales | 38 |
| - Product | 18 |
| - Marketing | 12 |
| - Operations | 10 |
| - People | 5 |
| - Finance | 4 |
| Seniority mix | |
| - Senior | 88 |
| - Mid | 66 |
| - Staff | 30 |
| - Director | 19 |
| - Junior | 7 |
| Top locations | |
| - San Francisco | 122 |
| - New York | 44 |
| - London | 30 |
| - Toronto | 8 |
| - Australia | 6 |
| - Atlanta | 2 |
The hiring data reveals Decagon's urgent need for engineering talent, which is the largest department represented in the open roles. With 92 engineering positions, the company prioritizes building robust technical capabilities, particularly as they navigate the evolving landscape of AI. The influx of new roles, especially the 95 added in just the last month, signals a rapid scaling effort that reflects both the company's ambitions and the competitive nature of the industry.
Decagon’s current hiring landscape illustrates several key insights regarding its strategic direction. First, the department mix, heavily weighted towards engineering, indicates a firm commitment to enhancing its technical infrastructure. With 92 open engineering roles, the company is clearly investing in its core capabilities. This aligns with the broader industry trend where organizations prioritize technical talent to support innovative product development.
Moreover, the seniority mix highlights a preference for experienced professionals, with 88 senior roles and 66 mid-level positions. This suggests Decagon values a strong foundation of expertise within its teams, which is crucial for navigating complex projects in AI and machine learning. Elad Gil emphasizes the importance of hiring systems thinkers who can adapt and innovate, which seems to be a priority for Decagon as they build diverse teams capable of tackling challenging problems.
Geographically, the concentration of roles in San Francisco (122) and New York (44) reflects the industry’s continued gravitation towards tech hubs. This geographic strategy may be a response to the need for collaboration and access to a deep talent pool, particularly in rapidly evolving fields like generative AI. The presence of roles in locations like London and Toronto further indicates a desire to tap into international talent markets, which is critical for a company at the Series D stage looking to scale.
The velocity of hiring, with 95 new roles opened in just 29 days, underscores a proactive approach to talent acquisition. Greenhouse's 2024 Hiring Benchmark highlights that companies with structured hiring processes fill technical roles 40% faster. This aligns with Decagon's current strategy, suggesting they are optimizing their processes to attract and secure top talent quickly.
For candidates eyeing opportunities at Decagon, several important factors come into play. The competition for roles at Decagon will be fierce, especially given their focus on engineering and product development. Candidates should be prepared to showcase not only their technical expertise but also their ability to think critically and innovate-qualities that are increasingly valued in the AI sector.
The hiring process at Decagon is likely to be rigorous, especially for senior and staff-level roles. In line with Ashby’s 2024 Recruiting Benchmark, which suggests that high-performing recruiting teams run 2-3 interview stages for senior individual contributors, candidates can expect a focused assessment approach. This means you’ll need to demonstrate both your technical skills and your fit within the team and company culture.
Candidates should also consider the trade-offs involved in working at Decagon. While the company is undoubtedly on the cutting edge of AI and machine learning, the intensity of the work environment may be high, especially in a fast-paced growth phase. This often translates to longer hours and a fast learning curve, which can be both challenging and rewarding.
The geographical concentration of roles in tech hubs like San Francisco may also present challenges for candidates outside these areas. While remote work options may be available, being located in a major city can be an advantage for collaboration and networking within the industry.
Additionally, candidates should be prepared for a culture that prioritizes rapid innovation and adaptability. As Claire Hughes Johnson notes, the highest cost in recruiting is often a slow process that loses top candidates to companies that decide faster. Thus, candidates should be ready for a quick decision-making process, which can be a double-edged sword if one is unprepared.
For companies like Intercom and Zendesk, competing for talent against Decagon necessitates a strategic approach. With Decagon’s aggressive hiring strategy, understanding their strengths and weaknesses can provide a competitive edge. Decagon’s focus on engineering and product roles signifies a commitment to building out their technical capabilities, which means competitors must also enhance their offerings to attract the same talent pool.
Competitors should consider refining their hiring processes to ensure they can attract candidates before Decagon does. Claire Hughes Johnson's insights about the cost of a slow recruitment process resonate well here. Companies that can streamline their hiring processes and reduce the time to offer will have a better chance at securing top talent. This includes implementing structured interviews and clear scorecards for each role, which can significantly improve hiring speed and candidate acceptance rates.
Moreover, companies should highlight their unique value propositions to differentiate themselves from Decagon. This could involve promoting a more balanced work-life environment or showcasing unique projects that align with candidates' interests in AI and machine learning. By doing so, competitors can create compelling narratives that resonate with potential hires.
Lastly, maintaining a strong employer brand is crucial. Candidates often research potential employers thoroughly before applying. Companies that can showcase their culture, values, and employee satisfaction will stand out in a crowded market. Engaging with candidates through social media and professional networks can also enhance visibility and attract interest amid Decagon’s hiring surge.
As we analyze the current hiring environment, Recruiting from Scratch observes several trends that inform our approach to sourcing talent for our clients. The high demand for technical roles, particularly in AI and machine learning, has led to increased competition for skilled candidates. We note that many candidates are assessing not only salary but also the overall company culture, growth opportunities, and the potential for innovation in their roles.
Compensation expectations for candidates entering the market are increasing, with median salaries for roles similar to those at Decagon ranging from $250K to $300K. This reflects a broader industry trend where skilled candidates command higher salaries due to the competitive landscape. In our data from over 300 placements, we’ve seen that companies that proactively engage with candidates are more successful in closing offers, which is particularly relevant in this competitive market.
At Recruiting from Scratch, we leverage our proprietary Atlas platform, which features a database of over 900,000 candidates, to source and match candidates efficiently. Our average time to hire is 29 days, significantly faster than the industry average of 49 days. This speed allows us to present pre-qualified candidates to hiring managers quickly, ensuring that our clients remain competitive in attracting the best talent.
We also utilize our Spyglass LinkedIn sourcing extension to identify potential candidates who may not be actively looking but are a perfect fit for the roles our clients are filling. This proactive sourcing approach has proven effective in connecting our clients with top talent, especially in high-demand sectors like AI and machine learning.
Decagon is hiring for a total of 216 open positions as of 2026. This number reflects their aggressive growth strategy and focus on enhancing their technical capabilities.
Decagon has a diverse range of open roles, primarily in engineering (92 positions), followed by sales (38), product (18), and marketing (12). The focus is heavily on technical roles supporting AI and machine learning initiatives.
While Decagon has a significant number of roles based in tech hubs like San Francisco and New York, it may offer remote positions, particularly in departments like engineering and product. Candidates should check individual job listings for remote work options.
Decagon's hiring bar for engineering positions is high, with a preference for senior and experienced candidates. The company seeks individuals who demonstrate strong technical skills and the ability to innovate within fast-paced environments.
Decagon's hiring strategy, focusing on rapid growth and technical expertise, places it in direct competition with companies like Intercom and Zendesk. Both competitors will need to enhance their hiring processes and employer branding to attract the same top talent.
If you're looking for support with your technical hiring or want to learn more about how Recruiting from Scratch can help you attract top talent, please contact us today. Our unique approach to recruiting, combined with our extensive candidate database, positions us well to meet your hiring needs.
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