Senior Product Manager

Summary

Join Ontic as a Senior Product Manager – AI Products and play a pivotal role in shaping the future of AI-powered security solutions. You will own the AI-first roadmap, identifying high-impact use cases and designing end-to-end AI-driven user experiences. Collaborate with AI/ML teams to ensure seamless technical integration and prioritize safely and responsibly, considering bias and transparency. Define success metrics and bridge the gap between technical and non-technical stakeholders. Ontic offers a competitive salary and benefits package, including medical, vision, and dental benefits, 401k, stock options, and more. We are committed to building a diverse and inclusive workplace and encourage applications from all qualified individuals.

Responsibilities

• Own the AI first roadmap: Drive the roadmap and execution of AI-powered interfaces and automation layers that sit atop existing systems and workflows
• Identify High-Impact Use Cases: Partner with clients, designers, and internal teams to uncover moments where generative AI can boost productivity, reduce friction, or automate decision-making
• Design End-to-End Experiences: Shape AI-driven user journeys—from prompts and natural language inputs to safe, explainable outputs
• Collaborate with AI/ML Teams: Work closely with prompt engineers, LLM researchers, and backend engineers to ensure seamless technical integration with foundational systems
• Prioritize Safely and Responsibly: Balance velocity with responsible AI practices, considering bias, hallucination risk, and transparency
• Define Success Metrics: Set and track success criteria across usability, adoption, engagement, and business impact
• Bridge the Gap: Translate between non-technical stakeholders and technical teams to ensure clarity and momentum in development

Preferred Qualifications

• 5–8 years of product management experience, including at least 1–2 years in AI/ML product development
• Experience building wrapper-style or augmentation-focused products (e.g., AI assistants, copilots, auto-summary tools)
• Strong understanding of LLMs, prompt design, RAG (retrieval augmented generation), and vector embeddings
• Comfort working with backend systems, APIs, and multi-system integrations
• Obsession with UX simplicity, speed-to-value, and practical AI outcomes
• Excellent communication and cross-functional leadership skills
• Experience with open-source or commercial LLMs (e.g., OpenAI, Anthropic, Cohere, etc.)
• Knowledge of vector databases, orchestration frameworks (LangChain, Semantic Kernel), or agent frameworks
• Exposure to enterprise workflows in Security vertical
• Familiarity with regulatory considerations around AI/ML (e.g., GDPR, AI Act)

Benefits

• Competitive Salary
• Medical, Vision & Dental Benefits
• 401k
• Stock Options
• HSA Contribution
• Learning Stipend
• Flexible PTO Policy
• Quarterly company ME (mental escape) days
• Generous Parental Leave policy
• Home Office Stipend
• Mobile Phone Reimbursement
• Home Internet Reimbursement for Remote Employees
• Anniversary & Milestone Celebrations