
Chief Innovation Officer
11 hours ago
Enable responsible AI innovation at speed
\The impact you'll make will be significant and lasting:
- Accelerate responsible innovation by providing world-class AI safety services.
- Influence the industry by establishing best practices, scalable tools, and clear benchmarks that set standard for AI safety.
- Drive customer success through tools and platforms that integrate seamlessly into customer workflows, enabling safe and rapid innovation.
As leader of a team of talented individuals, inspire them to achieve great things:
- Set clear goals, mentor team members, and foster culture of impact, collaboration, and rapid learning.
- Implement agile processes that prioritize speed without sacrificing quality or security.
- Collaborate closely with customers to understand and address their AI safety challenges:
- Engage directly with customer teams to understand their innovation objectives, pain points, and safety requirements.
- Translate customer needs into actionable roadmaps aligned with their innovation cycles.
- Deliver tools and services that ensure AI applications are aligned, robust, interpretable, and safe:
- Oversee development of platforms for alignment assessments, adversarial testing, drift detection, and interpretability analysis.
- Make informed build vs. buy decisions to optimize speed and customer integration.
- Champion engineering excellence in high-stakes environment:
- Establish and enforce secure coding practices, automation, monitoring, and infrastructure-as-code.
- Ensure system reliability through defined SLAs, SLOs, rigorous testing, and clear operational dashboards.
- Continuously innovate within AI safety methodologies:
- Keep current with cutting-edge research in AI safety, adversarial testing, and model evaluation.
- Pilot emerging techniques that enhance our offerings and accelerate customer deployments.
We need someone with 12+ years of experience in software engineering, and at least 5 years managing technical teams or complex projects. You should have:
- A proven track record delivering AI, ML, or data-intensive platforms or services.
- Demonstrated success in team leadership, coaching, and talent development.
- Excellent cross-functional collaboration and communication skills, bridging technical concepts with customer value.
You will also need proficiency with common software languages, frameworks, and tools such as Python, TensorFlow, PyTorch, Docker, Kubernetes, JavaScript, HTML/CSS, REST APIs, and SQL/noSQL databases, as well as expertise with cloud environments like AWS, GCP, or Azure. Familiarity with LLM architectures is a plus.
This role offers purpose-driven work, strategic visibility, growth opportunities, and supportive culture.
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