Senior/Staff Product Manager, AI

Tonic.ai, a fast-growing Series B SaaS company at the intersection of AI and data privacy, is seeking a Senior/Staff Product Manager to lead the vision for Tonic Textual. As AI initiatives move from prototype to production, the need to safely handle unstructured data (PDFs, chats, audio, and more) has become the primary bottleneck for the modern enterprise. Tonic Textual is the industry’s leading solution for instantly identifying and removing sensitive data from these formats, enabling teams to safely power RAG systems, train LLMs, and advance AI innovation without compromising privacy.

This role is for a strategic leader who wants to own the "privacy-first AI" category. You will be responsible for the high-level strategy of our unstructured data platform, bridging the gap between cutting-edge LLM research and enterprise-grade reliability.

What You’ll Do:

• Define the AI Privacy Strategy: Lead the long-term vision for Tonic Textual, identifying how to protect sensitive data across the entire AI lifecycle, from data ingestion and cleaning to vector database protection and RAG enrichment.
• Architect the Unstructured Roadmap: Own the high-level roadmap for proprietary NER models, custom entity training workflows, and sophisticated "AI-ready" data outputs that maintain context while ensuring 100% privacy.
• Enable Enterprise-Scale AI: Deeply understand the complex architectural needs of AI Engineers building RAG systems at scale. You will build features that turn massive, messy document stores into structured, safe, and metadata-enriched assets.
• Drive Category Leadership: Serve as a subject matter expert both internally and externally. You will work with the executive team to position Tonic Textual as a foundational component of the modern AI stack.
• Champion "Model-Based" Innovation: Drive the development of advanced self-serve tools that allow enterprise users to train and deploy tailored entity-detection models, effectively democratizing data science for privacy teams.
• Strategic Cross-Functional Leadership: Partner with Engineering and Research teams to push the boundaries of what's possible in synthesis and redaction, while collaborating with Sales and Marketing to unlock complex, highly-regulated enterprise accounts.

What You’ll Bring:

• 5-8+ years of Product Management experience (leveling will be commensurate with experience) in high-growth B2B SaaS, specifically within AI/ML, Data Infrastructure, or Developer Tools.
• Deep Subject Matter Expertise: A sophisticated understanding of the AI ecosystem, including LLMs, RAG architectures, Vector Databases, and NLP. You should be able to debate architecture with engineers and data scientists.
• Proven Scale-Up Experience: You have a track record of taking complex, technical products from initial traction to market-leading scale. You thrive in the "messy middle," where you must refine product-market fit, evolve pricing models, and establish category leadership in a rapidly shifting landscape.
• Strategic Storytelling: Ability to communicate a compelling vision for the future of AI privacy to C-level executives at Fortune 500 companies and to the industry at large.
• Analytical & Technical Rigor: You are comfortable digging into model performance metrics, API design, and SDK usability to ensure a world-class developer experience.
• Timezone Synchronicity: While Tonic is a remote-friendly company, this role requires working hours to overlap with the U.S. East Coast (EST) to maintain the internal collaboration necessary for leading a high-growth product line.

Why This Opportunity:

This is a chance to join Tonic.ai at its most pivotal moment. While Tonic’s structural data platform is a market leader, Textual is our high-growth engine sitting at the heart of the Generative AI revolution. As a Senior/Staff PM, you will have the mandate and resources to shape an entire category. You aren't just building a feature; you are building the infrastructure that will allow the world’s most sensitive industries (Healthcare, Finance, and Defense) to finally adopt AI safely.