As a key member of the Capital Markets & Corporate Development team at Anthropic, you'll play a central role in shaping our financial strategy and capital structure during a critical period of growth.
\nYou'll lead capital raising initiatives, manage investor relationships, and help prepare Anthropic for the next phase of its evolution as a company. Working closely with our leadership team, you'll help ensure Anthropic has the financial resources and strategic partnerships needed to fulfill our mission of building reliable, interpretable, and steerable AI systems.
\nIn this role, you'll leverage your expertise across capital markets and financial strategy to drive fundraising activities, build robust investor relations frameworks, and lay the groundwork for long-term financial flexibility. You'll also support selective corporate development opportunities that align with our strategic priorities.
\nThe ideal candidate brings deep capital markets experience, strong analytical capabilities, and exceptional relationship-building skills to help guide Anthropic through its next phase of growth while maintaining our commitment to responsible AI development.
\nResponsibilities:
\nYou may be a good fit if you:
\nStrong candidates may also:
\nBring experience working in high-growth, mission-driven organizations
\nAnnual compensation range for this role is $250,000-$310,000 USD.
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\nThe Mosaic AI organization enables companies to develop AI models and systems using their own data, with technologies ranging from fine-tuning LLMs for enterprise domains, to a platform for building compound AI systems that use retrieval and agents. Mosaic AI is committed to the belief that a company's AI models are just as valuable as any other core IP, and that high-quality AI models should be available to all.
\nJob description:
\nMost of the world's data+AI problems lie in enterprise domains, behind closed doors. Our research team's goal is to push the frontier of 'domain adaptation' - how can we develop LLMs and AI systems that work well for custom domains. To do this we are tackling open research problems on a range of topics, from how to scale/automate eval, fine tune with synthetic data, retrieval augmentation, fast/efficient inference and more.
\nYou will work with our research team on projects focused on adapting LLMs and AI systems towards enterprise domains. This may include:
\nYour qualifications and qualities:
\nPay Range Transparency
\nDatabricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above.
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\nAs a Security Researcher, you'll play a pivotal role in safeguarding these innovations by anticipating, identifying, and mitigating risks before they materialize. This isn't just about finding vulnerabilities; it's about shaping the future of secure AI by embedding an attacker's mindset into everything we build.
\nYou'll work at the intersection of offensive security, AI safety, and product development, collaborating with cross-functional teams to harden our systems against evolving threats. Your expertise will directly influence how we design, deploy, and protect our most critical assets , ensuring our agents remain resilient, trustworthy, and ahead of adversaries.
\nKey responsibilities include:
\nProactively hunting for vulnerabilities in the interactions between our agentic applications, cloud infrastructure, and foundational models, with a focus on realistic, high-impact attack vectors.
\nDesigning and executing red and purple team exercises, simulating sophisticated adversarial scenarios to stress-test our defenses and refine our detection capabilities.
\nPartnering with defensive teams to translate offensive insights into actionable improvements, from detection engineering to incident response.
\nConducting in-depth penetration testing across our product suite, including AI-driven workflows, custom infrastructure, and user-facing interfaces.
\nBuilding and automating offensive tooling to scale your impact, leveraging cutting-edge techniques to stay ahead of emerging threats.
\nCommunicating findings with clarity and conviction, ensuring technical and non-technical stakeholders understand risks and prioritize mitigations effectively.
\nShaping Mistral AI's security strategy by contributing attacker-informed perspectives to threat modeling, risk assessment, and architectural decisions.
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\nYour work may involve brainstorming new disruptive ideas that could become the next generation of frontier AI models, particularly within the text diffusion space. You will prototype and develop these ideas with the rest of the team, contributing directly to Gemini Diffusion research. You will solve key research challenges by designing and executing experimental research on text diffusion models, sharing analyses, and proposing next steps. You will rigorously validate the theoretical and practical impact of our work at a large scale. You will work collaboratively with other Generative AI teams to move the technologies we develop out of the lab and into production. You will advance the fundamental architecture, algorithmic design, and capabilities of large-scale diffusion models. You will bring deep scientific expertise into our projects, sharing your insights and knowledge with other researchers and engineers.
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\nAnthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
\nAbout the Role
\nWe're looking for a Software Engineer to work at the intersection of engineering and research on the Claude Code team. In this role, you'll collaborate directly with Anthropic's researchers to improve Claude’s coding capabilities through tooling, infrastructure, and evaluations. You'll build systems that help us understand where Claude Code excels and where it falls short—and then help close those gaps.
\nWe're looking for engineers who can build robust, complex systems and who thrive in fast-paced, high-intensity environments. You'll take ambiguous problems and turn them into reliable infrastructure that accelerates our research.
\nResponsibilities
\nYou may be a good fit if you:
\nStrong candidates may also have experience with:
\nLogistics
\nEducation requirements: We require at least a Bachelor's degree in a related field or equivalent experience. Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
\nVisa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
\nHow we're different
\nWe believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
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