Full-Time
Updated on 8/23/2026
Open-source Python/R data science platform
No salary listed
Remote in Germany
Remote
Must be based in Germany and able to travel within the region for customer meetings and events.
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Anaconda is a data science and AI platform for Python and R. It provides the Anaconda Distribution, a free, open-source bundle that includes the Conda package manager and many data science libraries to help users install and manage software for data analysis. The company earns money through commercial products and enterprise subscriptions that add features like security, governance, dedicated support, and deployment tools, plus consulting services and partnerships. It differentiates itself by offering a widely used free distribution alongside enterprise-grade governance and workflow-management tools for teams and large organizations. Its goal is to help individuals and organizations build, manage, and deploy data science and AI workloads across environments.
Company Size
501-1,000
Company Stage
Series C
Total Funding
$246M
Headquarters
Austin, Texas
Founded
2012
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Health Insurance
Dental Insurance
Vision Insurance
Disability Insurance
Parental Leave
Wellness Program
Mental Health Support
Unlimited Paid Time Off
Remote Work Options
Flexible Work Hours
Company Equity
Performance Bonus
Anaconda buys Enkrypt AI: securing enterprise AI at scale. 3h ago · 0:00 listen · Source: HPCwire Summary. Anaconda Inc. has acquired Enkrypt AI, an AI security and compliance solution. This acquisition aims to mitigate risks hidden within enterprise AI. With Enkrypt AI, the Anaconda Platform now governs the entire process from a builder's first prompt to their AI-native application running in production. This means every model, agent, and MCP server can be trusted by the enterprise. Anaconda has spent over a decade securing open-source packages and models for AI teams. This foundation now covers the full AI-native development lifecycle. The platform includes production-grade AI orchestration, guiding teams from experimentation to production. Anaconda also recently acquired Kilo Code, extending its capabilities into agentic engineering environments. Enkrypt AI adds a crucial security, governance, and compliance layer. This ensures the complete AI agent stack produces safe and trustworthy results at an enterprise scale. It is vendor-neutral and cloud-agnostic, designed for organizations deploying autonomous AI agents. Enkrypt AI has scanned over 268,000 tools across 25,000 MCP servers in the past two months. It found more than 143,000 vulnerabilities, affecting 73% of those servers. This acquisition helps secure AI systems as enterprises move towards trillion-token scale. This is an AI-generated audio summary. Always check the original source for complete reporting.
Anaconda has acquired Enkrypt AI, an AI security and compliance solution that identifies and mitigates risks in enterprise AI systems. The acquisition extends Anaconda's platform to govern the entire AI development lifecycle, from initial prompts to production applications. Enkrypt AI scanned over 268,000 tools across 25,000 MCP servers in the past two months, finding more than 143,000 vulnerabilities affecting 73% of servers. The company is an OpenAI compliance integration partner and supports regulatory frameworks including NIST AI Risk Management Framework and the EU AI Act. The acquisition positions Anaconda as an enterprise-ready foundation for building, securing, and orchestrating AI-native systems. Enkrypt AI's existing products and support remain unchanged for current users. Anaconda serves 95% of Fortune 500 companies and has recorded 21 billion downloads.
DNC.Com and Pure CallerID join forces as Sonera, bringing compliance and deliverability to outbound calling and messaging in the AI era. July 28, 2026 6:06 AM Gift Article New company combines two decades of compliance data with caller identity and delivery technology, with an AI roadmap built for the next era of outbound engagement; Mark Mitchell joins as Chief Executive Officer. BOSTON, MA / ACCESS Newswire / July 28, 2026 / DNC.com and Pure CallerID, two leading players in outbound compliance and deliverability, today announced they are joining forces to operate as one company under a new name, Sonera. In conjunction with the combination, Mark Mitchell has joined the company as Chief Executive Officer. Outbound communications are governed by an expanding web of federal and state regulation, from the TCPA and the National Do Not Call Registry to state-level statutes and carrier spam-labeling programs. Enterprises have historically managed outbound compliance risk and deliverability as separate problems with separate vendors. Sonera unifies them: list scrubbing and litigation protection, caller identity and reputation management, branded calling, and delivery intelligence under a single company covering the full life of an outbound communication. Each month, Sonera screens an average of 1.8 billion phone numbers against federal, state, and litigation risk data and processes more than 200 million caller identity and delivery transactions. The combined company draws on more than 20 years of compliance operations serving enterprises across regulated and call-intensive industries, such as financial services, healthcare, and insurance. The combination also positions Sonera for the industry's next shift. The company holds a unique set of data assets, including real-time litigant intelligence, number reputation history, and reassigned-number data. Applying AI to that foundation will allow Sonera to offer pre-dial decision intelligence that determines the compliant, deliverable way to reach a customer before a call is placed, and agentic call governance designed to keep outbound calls compliant in real time, whether the caller is a human or an AI agent. Leading the combined company is Mark Mitchell, who joins Sonera as Chief Executive Officer. Mitchell was most recently Senior Vice President of Operations and Strategy at Anaconda, the data and AI platform, where he helped guide the company through a period of rapid growth. He brings to Sonera a career spanning operations, finance, and advisory roles, along with 11 years of service as a U.S. Army Special Forces Green Beret. "What drew me to Sonera was a rare opportunity: to combine two trusted businesses into a company neither could build alone, laying the foundation for our AI products," said Mark Mitchell, CEO of Sonera. "Our customers get one partner for the entire life of an outbound call, and we get a foundation of data and relationships to build the next generation of compliant, AI-ready calling." "For twenty years our job has been simple: our clients never get fined, never get surprised," said Ron Allen, founder, DNC.com. "Joining forces with Pure CallerID means we now protect the call from the moment we identify a number is safe to call, all the way to the moment it gets answered." "We built Pure CallerID because legitimate calls were not getting answered, and DNC.com built the deepest compliance data in the industry," said Geoff Mina and Derek Oberholtzer, co-founders of Pure CallerID. "As Sonera, our customers no longer have to choose between reaching people and staying compliant." Customers of both companies will see no operational changes: existing contracts, platforms, logins, and support teams all continue as they are today. Both product lines continue to operate under the Sonera umbrella. The company will bring integrated offerings to market later this year. About Sonera Sonera keeps enterprise outbound calling compliant, trusted, and answered. Formed through the combination of Contact Center Compliance (DNC.com) and Pure CallerID, Sonera provides list scrubbing and TCPA/DNC risk mitigation, litigation protection, caller identity and reputation management, branded calling, and delivery intelligence. Learn more at www.sonera.co.
Anaconda has acquired Kilo Code, an open-source agentic engineering platform used by over 3 million developers. The acquisition follows Anaconda's earlier purchase of Outerbounds and extends its AI-native development capabilities into developers' integrated development environments and command-line interfaces. Kilo grew from zero to 3 million users in sixteen months, processing trillions of tokens monthly across commercial and open-weight AI models. The platform offers access to over 500 models with automatic selection for each task, addressing enterprise concerns about token costs and return on investment at scale. Kilo remains available with no changes to existing products or plans. Anaconda will integrate Kilo's capabilities with its platform, which already supports AI development for 95% of the Fortune 500 companies. The combined solution aims to maintain security and governance from initial development through production deployment.
Anaconda buys Kilo, the open source coding agent that answers to no single model maker. Summary: This is a summary of an article originally published by The New Stack. Read the full original article here Anaconda, a significant player in the data science and machine learning arena, has recently expanded its capabilities by acquiring Kilo, an open-source project focused on managing cloud-native machine learning workloads. This acquisition marks a pivotal step for Anaconda as it integrates Kilo's innovative tools to enhance its existing offerings and better serve the needs of DevOps teams working with data-driven applications. The incorporation of Kilo aims to streamline the deployment and management of machine learning models within cloud environments, addressing one of the major challenges faced by DevOps practitioners. By leveraging Kilo's capabilities, Anaconda empowers teams to automate machine learning workflows, ensuring that models can be easily updated and scaled in accordance with evolving business requirements. Moreover, this acquisition illustrates a growing trend within the tech industry where specialized open-source tools are becoming integral components in the DevOps ecosystem. As organizations strive for efficiency and agility, solutions that facilitate seamless integration of machine learning processes into existing CI/CD pipelines are increasingly essential. The synergy between Anaconda and Kilo promises to drive these advancements, ultimately fostering a more robust and responsive infrastructure for data science endeavors.