Full-Time
GTM Engineer
Confirmed live in the last 24 hours
Cognition
51-200 employees
Mid
Company Does Not Provide H1B Sponsorship
San Francisco, CA, USA
You match the following Cognition's candidate preferences
Employers are more likely to interview you if you match these preferences:
- Demonstrate a track record of success building or selling deeply technical products
- You’re a natural relationship-builder, an excellent communicator and feel comfortable talking about complex technical topics with customers in all roles and levels
- You have technical experience either as a software engineer, sales engineer or deployed engineer
- Thrive in ambiguous and rapidly changing environments — you’re willing to move fast and quickly grow in scope and responsibility
- You have a demonstrated exceptional ability to learn
- Own all technical aspects of the customer lifecycle—from scoping during the pre-sales process through activation, making sure our customers are successful using Devin
- Work closely with customers to understand their technical challenges and identify the best use cases for Devin to be a productive contributor
- Build deep relationships with our customers’ engineering teams to ensure smooth product integration and adoption, activating top users and driving product utilization
- Identify new teams and potential use cases that Devin can contribute to within an active customer’s tech organization
- Build! Always listen to customer feedback, have a bias towards implementing requested features yourself, and advocate for the customers’ needs with the rest of the team.
- previously founded a startup
- are a competitive, highly ambitious person who loves working in high-intensity environments
- thrive in roles that require you to context switch quickly and handle a broad range of technical and non-technical problems
- like grinding
Company Size
51-200
Company Stage
Seed
Total Funding
$190.7M
Headquarters
New York City, New York
Founded
2023
Simplify's Take
What believers are saying
- AI agents are increasingly integrated into enterprise software, boosting demand for Cognition's solutions.
- The AI coding assistant market is expanding, enhancing developer productivity and Cognition's relevance.
- Cognition's Devin AI aligns with the trend of one-person unicorns, offering scalable solutions.
What critics are saying
- OpenAI's o3 model advancements threaten Cognition's Devin with potentially superior capabilities.
- One-person unicorns could reduce demand for Cognition's collaborative AI solutions.
- High valuation pressures Cognition to deliver quickly, risking product quality or strategic errors.
What makes Cognition unique
- Cognition's Devin AI can autonomously handle entire software development projects.
- Devin 1.2 features improved in-context reasoning and voice integration via Slack.
- Cognition is backed by $200M, highlighting strong investor confidence in its potential.
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Growth & Insights and Company News
6 month growth
↓ -3%1 year growth
↓ -3%2 year growth
↓ -3%The race to deploy artificial intelligence (AI) engineering agents that can rival — and even replace — human software engineers is accelerating. Last week, OpenAI CEO Sam Altman said that by the end of the year, the company’s most advanced AI reasoning model could rank first in competitive programming contests in the world. During a recent QA panel at the University of Tokyo, he said the first version of its reasoning model ranked one millionth among competitive programmers globally. Then it reached 10,000th place. OpenAI’s latest and most powerful reasoning model — o3 — was able to reach 175th place
Thanks to the advent of cloud computing and distributed digital infrastructure, the one-person micro-enterprise is far from a novel concept. Cheap on-demand compute, remote collaboration, payment processing APIs, social media, and e-commerce marketplaces have all made it easier to “go it alone” as an entrepreneur.But what about scaling that one-person business into something meatier — an enterprise of unicorn proportions?Historically, this would have been an unfathomably tough task, due to the skills and resources required, not only to scale a product but also to grow and maintain a sufficiently bountiful customer base. But AI agents could unshackle the would-be solo-preneurs of the world.AI agents are all about embedding human workflows into software, freeing the human to do more in less time. Agents can be assigned tasks, and they can make decisions with varying degrees of autonomy. Multiple AI agents could even collaborate on complementary tasks, paving the way for getting some real work done entirely autonomously.In an interview last year with Reddit co-founder Alexis Ohanian, OpenAI’s Sam Altman predicted this exact scenario.“In my little group chat with my tech CEO friends, there’s this betting pool for the first year that there is a one-person billion-dollar company,” Altman said. “Which would have been unimaginable without AI — and now [it] will happen.”In a discussion at the World Economic Forum’s annual meeting in Davos last week, a panel of entrepreneurs and investors also discussed the prospect of the single-person billion-dollar enterprise — and, more importantly, what this might mean for the future of employment.In humans we trustRecent history reveals a slew of svelte billion-dollar companies
Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More. Last year, Cognition started the AI agent wave with a product called Devin — the world’s first AI engineer. The offering was under wraps for several months, but now it’s generally available and learning new chops very quickly. Case in point: the Scott Wu-led startup has just released Devin 1.2, which brings a bunch of new capabilities to take the AI engineer’s ability to handle entire development projects to a whole new level.The biggest highlight of Devin 1.2 is its improved in-context reasoning, which makes the agent better at handling and reusing code. It also includes the ability to take voice messages via Slack, which gives users a more seamless way to tell Devin what it has to do.The development comes at a time when AI-powered agents are being touted as the future of modern work
Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn MoreIn the past year, the race to automate has intensified, with AI agents emerging as the ultimate game-changers for enterprise efficiency. While generative AI tools have made significant strides over the past three years — acting as valuable assistants in enterprise workflows — the spotlight is now shifting to AI agents capable of thinking, acting and collaborating autonomously. For enterprises preparing to embrace the next wave of intelligent automation, understanding the leap from chatbots to retrieval-augmented generation (RAG) applications to autonomous multi-agent AI is crucial. As Gartner noted in a recent survey, 33% of enterprise software applications will include agentic AI by 2028, up from less than 1% in 2024.As Google Brain founder Andrew Ng aptly stated: “The set of tasks that AI can do will expand dramatically because of agentic workflows.” This marks a paradigm shift in how organizations view the potential of automation, moving beyond predefined processes to dynamic, intelligent workflows.The limitations of traditional automationDespite their promise, traditional automation tools are constrained by rigidity and high implementation costs. Over the past decade, robotic process automation (RPA) platforms like UiPath and Automation Anywhere have struggled with workflows lacking clear processes or relying on unstructured data
Cognition, a startup backed by $200 million, is developing an AI tool named Devin that can autonomously handle programming tasks. Founded by Scott Wu, 28, and his team, Devin recently demonstrated its capabilities by configuring a complex data server, impressing its creators. Devin now manages basic engineering tasks like error detection and code updates. This marks a shift in software engineering, differing from larger players like Github.