• Collaborate closely with DataRobot customers and bring your expertise in data science and the DataRobot platform to help our customers achieve their organization’s objectives with AI. • Foster an environment of autonomy where everyone is encouraged to identify and prioritize customer problems and opportunities. • Lead data science implementation and help develop a Joint Success Plan (JSP). • Support customers with problem framing, data prep, scripting, model building, model deployment, model management, and output consumption. • Represent the DataRobot product to various personas across the customer organizations spanning from data scientists to C-level executives. • Influence our customers through thought leadership by using value-based messaging to translate complex technical terms into business outcomes. • Act as a trusted advisor on AI across the customer lifecycle. • Act internally as the voice of the customer to the Product and Engineering, informing the direction of future product feature development. • Present at conferences and/or help create other marketing content.

• You'll be the catalyst driving the adoption and scaling of cutting-edge AI solutions. It's a purely individual contributor role. • You'll work at the intersection of innovation and impact, empowering businesses to leverage GenAI for transformative results. • You'll guide companies in integrating GenAI solutions, making AI a tangible part of their operations. • You'll drive the scaling of GenAI technologies, ensuring seamless transitions from concept to production. • You'll partner closely with our product and science teams to deliver state-of-the-art AI solutions tailored to client needs. • You'll tackle complex business problems with AI, delivering measurable outcomes and strategic advantages. • You'll contribute to the evolution of AI technology, influencing how businesses operate and compete in the modern world. • You will travel approximately 30 to 60% of your time. • Your role will involve spending time at the client’s office.

Founded in 2017, Obsidian Security was created to close a critical gap: securing the SaaS applications where modern business happens—platforms like Microsoft 365, Salesforce, and hundreds more. Backed by top investors including Greylock, Norwest Venture Partners, and IVP, we’ve built a complete SaaS security platform to reduce risk, detect and respond to threats, and prevent breaches at the source. Our team includes leaders who helped define the categories of endpoint and identity security at CrowdStrike, Okta, Cylance, and Carbon Black. Now, we’re transforming how SaaS is secured—in the era of agentic AI. Today, Obsidian is trusted by global enterprises like Snowflake, T-Mobile, and Pure Storage. We protect more than 200 organizations across North America, Europe, the Middle East, Southeast Asia, Australia, and New Zealand—including many of the world’s largest Fortune 1000 and Global 2000 companies. With strong global momentum, a growing partner ecosystem including SentinelOne, Databricks, and Google Cloud, and a major fundraise on the horizon, we’re scaling quickly toward long-term growth and IPO readiness. Join us as we define the future of SaaS security! Head of Threat Intelligence About the Role We are seeking a high-impact Threat Intelligence Evangelist as the external voice of our threat research and threat-driven products. This role sits at the intersection of threat intelligence, marketing, and go-to-market, and is responsible for building trusted industry relationships, shaping threat narratives, and translating real-world adversary activity into compelling content and customer value. Key Responsibilities Community Engagement & Intelligence Exchange: Build and maintain deep relationships within the threat intel community. Participate in timely, bi-directional threat intelligence sharing and collaboration. Internal Feedback Loop: Translate external intelligence and customer pain points into actionable insights for our Product and Engineering teams to influence the product roadmap. Thought Leadership & Advocacy: Work closely with marketing to publish high-quality threat intelligence content, including blogs, reports, advisories, and research summaries. You will act as a credible public spokesperson for the company’s threat intelligence efforts Required Skills & Qualifications Employee Benefits Our competitive benefits packages are designed to support our employees' well-being, both at work and at home.  Our US based employees enjoy: Competitive compensation with equity and 401k Comprehensive healthcare with dental and vision coverage Flexible paid time off and paid holiday time off 12 weeks of new parent or family leave Personal and professional development resources For more details on our US benefits, or for information on our international benefits, please see here. Pay Transparancy Please note that the base pay range is a guideline and for candidates who receive an offer, the base pay will vary based on factors such as work location, as well as the knowledge, skills and experience of the candidate. In addition to a competitive base salary, this position is eligible for equity awards and may be eligible for sales commission or incentive compensation based on the role or function within the company. At Obsidian, we are proud to be an equal-opportunity employer. We value diversity and hire for talent, passion, and compassion. In compliance with federal law, all persons hired will be required to submit satisfactory proof of identity and legal authorization.  If you have a need that requires accommodation, please contact accommodations@obsidiansecurity.com Information collected and processed as part of any job applications you choose to submit is subject to Obsidian’s Applicant Privacy Policy. Base Salary Range $270,000 — $302,000 USD

• Reviewing AI-generated responses to audiology scenarios and rating them for accuracy, audiology appropriateness, safety, and reasoning quality • Comparing multiple model answers and selecting/justifying the best response • Writing improved exemplars, rationales, or structured feedback to help models learn where they fall short