As a Staff Technical Program Manager, you'll own program business and technical outcomes end-to-end, ensuring direct, measurable business impact. You'll lead large-scale, cross-functional teams to deliver high-quality, impactful business or technical outcomes. You'll drive complex, cross-organizational programs spanning multiple domains, ranging from internal platform improvements to customer-facing software delivery.

Key responsibilities include:

• Owning program business and technical outcomes end-to-end, ensuring direct, measurable business impact
• Leading large-scale, cross-functional teams to deliver high-quality, impactful business or technical outcomes
• Driving complex, cross-organizational programs spanning multiple domains
• Measuring the quantifiable impact of implemented outcomes and defining clear KPIs to ensure successful execution and sustainable improvement
• Enabling structure and clarity in ambiguous problem spaces, driving decisions and mitigating risks even with incomplete data
• Maintaining a deep technical understanding of the solutions being built, identifying hidden technical risks and resolving upstream and downstream technical dependencies

Requirements include:

• 8+ years of experience driving strategic technical initiatives across multiple functions and influencing VP+ stakeholders
• Experience creating and evolving program management frameworks and practices
• Deep expertise in both business and infrastructure domains, with experience driving programs that address efficiency, risk, controls, and reliability at scale
• Expertise in Fit-Gap Analysis and leading design and technical trade-off discussions to closure
• Advanced ability to define and break down ambiguous and complex business problems
• Strong communication skills with the ability to convey complex ideas authoritatively and influence executives and department leadership
• Experience in the enterprise software industry, SaaS and B2B experience preferred
• Comfortable thriving in a rapidly scaling, dynamic startup environment
• Bachelor's degree required
• Knowledge of Databricks products is a plus

XML job scraping automation by YubHub

Your work will involve proactively researching protocol integrations with emerging blockchains, developing on-chain solutions that drive value for protocol foundations and institutional investors. You will independently define the requirements and roadmap, collaborating closely with an agile scrum team on cutting-edge blockchain research and integrations.

Key responsibilities include:

• Maintaining a deep technical understanding of the crypto landscape, including various Layer 1 and Layer 2 protocols.
• Demonstrating a history of meaningful contributions to technical projects with the ability to write clean, effective code.
• Leveraging AI tools like Cursor, Claude, and ChatGPT to accelerate prototyping, research, and reviews thoughtfully.

You will work closely with sales, protocol research, engineering, and product to set the pace, drive projects forward, and unblock the team. You will also represent Anchorage Digital as a technical ambassador in online forums, at industry events, and during client engagements.

To be successful in this role, you will need to have a demonstrable passion and deep technical understanding of the crypto landscape, including various Layer 1 and Layer 2 protocols. You should also have exceptional communication skills, with the ability to articulate complex technical concepts to both engineering and executive audiences.

XML job scraping automation by YubHub

We're a team of scientists, engineers, and machine learning experts working together to advance the state of the art in artificial intelligence. Our mission is to close the 'Agentic Launch Gap'; the critical window where novel AI capabilities outpace traditional security reviews.

As the Security Lead for the Agentic Red Team, you will direct a specialized unit of AI Researchers and Offensive Security Engineers focused on adversarial AI and agentic exploitation. Operating as a technical player-coach, you will architect complex, multi-turn attack scenarios while managing cross-functional partnerships with Product Area leads and Google security to influence launch criteria.

Key Responsibilities:

• Direct Agile Offensive Security: Lead a specialized red team focused on rapid, high-impact engagements targeting production-level AI models and systems.
• Perform Complex AI Exploitation: Develop and carry out advanced attack sequences that focus on vulnerabilities unique to GenAI, such as escalating privileges through tool usage, poisoning data, and executing multi-turn prompt injections.
• Design Automated Validation Systems: Collaborate with Google teams to engineer 'Auto RedTeaming' solutions that transform manual vulnerability discoveries into robust, automated regression testing frameworks.
• Engineer Technical Countermeasures: Create innovative defense-in-depth frameworks and control systems to mitigate agentic logic errors and non-deterministic model behaviors.
• Manage Threat Intelligence Assets: Develop and oversee an evolving inventory of exploit primitives and agent-specific attack patterns used to establish release criteria and evaluate model security benchmarks.
• Establish Security Scope: Collaborate with Google for conventional infrastructure protection, allowing the team to concentrate solely on agentic logic, model inference, and AI-centric exploits.

About You:

• Bachelor's degree in Computer Science, Information Security, or equivalent practical experience.
• Experience in Red Teaming, Offensive Security, or Adversarial Machine Learning.
• Deep technical understanding of LLM architectures and agentic workflows (e.g., chain-of-thought reasoning, tool usage).
• Proven ability to work in a consulting capacity with product teams, driving security improvements in fast-paced release cycles.
• Experience managing or technically leading small, high-performance engineering teams.

In addition, the following would be an advantage:

• Hands-on experience developing exploits for GenAI models (e.g., prompt injection, adversarial examples, training data extraction).
• Familiarity with AI safety benchmarks and evaluation frameworks.
• Experience writing code (Python, Go, or C++) to build automated security tools or fuzzers.
• Ability to communicate complex probabilistic risks to executive stakeholders and engineering teams effectively.

The US base salary range for this full-time position is between $248,000 - $349,000 + bonus + equity + benefits.

XML job scraping automation by YubHub