• Partner with product leadership to define and execute the compliance product strategy and roadmap. • Collaborate closely with Engineering, Design, and GTM teams to deliver new capabilities that address evolving regulatory and customer needs. Lead customer discovery efforts to understand compliance workflows, pain points, and unmet needs, and translate insights into clear product priorities. • Own product lifecycle activities from problem discovery through launch, including requirements definition, backlog refinement, and acceptance testing. Support analyst engagements, sales enablement, and customer success by clearly articulating product vision, value, and roadmap direction. • Act as a connective layer between customers and internal teams, ensuring solutions are usable, compliant, and deliver meaningful business impact. • Champion continuous improvement through feedback loops, metrics, and iterative product delivery. • Drive adoption of AI across the product development lifecycle, leveraging tools such as Claude Code, Replit, and Loveable to rapidly prototype ideas, validate concepts, and accelerate time-to-value. • Explore and define agentic capabilities within the compliance domain, including opportunities to automate workflows, assist with regulatory interpretation, and enhance user productivity through AI-driven experiences.

Role Description DomainTools is looking for a Sr. Product Manager, Data Products to join its Product team. Data is the backbone of our products, and this role will be responsible for growing and refining the data products that drive our threat intelligence solutions, with API-first delivery and integration into UI, AI and third-party experiences and workflows. This is a strategic role for the company that has a high impact on the company’s success, and has a great deal of visibility both inside and outside the company. - Strong leader and successful product manager with a track record of delivering market-leading data products. - Insights derived from direct customer interaction and big-data analysis. - Empower product teams to solve hard problems in ways that customers love and work for the business. - Cross-functional product teams generally composed of a product manager, a technical manager, several engineers, and shared supporting team members for tech docs and QA. - Tight collaboration with the research team (focus on analytics and ML) is critical to successful data product delivery. - Contribute solid knowledge of business constraints and prioritized assessment of opportunities. - Deep knowledge of users and customers, and understanding of platforms used to engage with products. - Track industry trends and competitive landscape as they pertain to products. - Collaborate closely with engineering, marketing, sales, and solutions engineering teams. - Accountable for results, shipping is necessary but not sufficient. - Individual contributor role requiring influence through data and logic. Qualifications - Minimum 7 years in cybersecurity or data-related product management, delivering data-driven analytics and products. - Deep knowledge of the business and its customers, understanding how data products are utilized by users and valued by buyers. - Experience working with threat intelligence products, threat feeds, APIs, and related technologies. - Experience interacting with customers who leverage data warehousing, data science, and Big Data technologies. - Experience with integration of data products into third-party environments (both customer and partner ecosystems). - Experience working with Agile (kanban/scrum) development teams and processes. - Excellent people skills, working with cross-functional teams across the organization to bring a solution from ideation to market. - Excellent writing, communication, and presentation skills. - US-based, with a willingness to accommodate core hours that overlap at least 9am-3pm US Pacific time. Preferred Qualifications - Experience in cybersecurity investigations, threat defense, incident response, or related activities. - Solid understanding of the cybersecurity market and modern security architectures. - Familiarity with specific data domains used in cybersecurity, including DNS, IP, TLS/SSL certificates, web crawl, BGP, NetFlow data. - Experience with real-time data collection, processing, and delivery. - Experience with large language models (LLMs) and agentic workflows. - Experience with data products that leverage predictive analytics / machine learning (ML). - Experience with distributed systems and cloud computing. Benefits - Fully paid medical, dental, and vision insurance premiums. - 401k retirement plan with company matching. - Basic life insurance. - Flexible PTO. - Additional well-being benefits. Company Description DomainTools is the global leader for Internet intelligence and the first place security practitioners go when they need to know. The world’s most advanced security teams use our solutions to identify external risks, investigate threats, and proactively protect their organizations in a constantly evolving threat landscape. DomainTools constantly monitors the Internet and brings together the most comprehensive and trusted domain website and DNS data to provide immediate context and machine-learning driven risk analytics delivered in near real-time. DomainTools embraces diversity, equity, and inclusion to its fullest as an equal opportunity employer. We build our teams so creativity and innovation can flourish. We believe inclusivity and equity fosters innovation and growth, and we harness this mindset to drive a culture that serves our employees and our customers. We encourage people of all backgrounds, ages, perspectives, and skill sets to apply; and do not discriminate based on age, religion, color, national origin, gender, sexual orientation, gender identity, marital status, veteran status, disability, or any other characteristic protected by law.

• Act as a true "full business owner": Take proactive, unprompted initiative to identify roadblocks, marshal resources, and relentlessly drive complex initiatives across the finish line. • Own the vision and strategy for key areas of the New Relic APM product portfolio, translating it into a clear, prioritized roadmap. • Drive AI strategy: Conceptualize and deliver cutting-edge AI innovations that fundamentally transform how users interact with observability data, maintaining APM’s competitive edge. • Accelerate your craft with AI: Leverage modern AI tools in your day-to-day workflows to accelerate your velocity, enhance data analysis, and up-level your product management capabilities. • Become a subject matter expert on the APM market, our customers' needs, and competitive trends to identify new opportunities and guide your strategy. • Partner closely with design, engineering, marketing, support, and sales teams to deliver end-to-end value for our users and ensure successful go-to-market launches. • Engage directly with customers to conduct research, validate requirements, and ensure the solutions you build are delightful and solve real-world problems. • Build a data-informed roadmap, defining, analyzing, and reporting on product metrics to meet your objectives and drive business outcomes. • Communicate your strategy and roadmap effectively to stakeholders and leadership, bringing clarity to complex situations and driving alignment.

• Drive the evolution of the member journey into a seamless, AI first care experience • Identify where AI can reduce friction, improve clarity, and drive behavior change • Balance automation with human care to ensure strong clinical outcomes and member trust • Partner closely with clinical teams to understand care pathways, decision logic, and real world workflows • Translate these into product experiences, AI behavior, and system logic • Help define how care is delivered through software, not just supported by it • Ship experiences powered by conversational interfaces and agents, personalized recommendations and nudges, intelligent workflows and automation • Determine when AI should act vs when to escalate to clinicians • Design for clinical safety, appropriateness, and trust in all member interactions • Own metrics across engagement, retention, and clinical adherence • Use experimentation and data to improve both UX and AI system behavior • Own roadmap and prioritization for the AI Care Experience • Lead cross-functional execution across product, design, engineering, and clinical teams • Balance rapid iteration with long-term product quality, safety, and scalability