Were looking for a Product Lead to be a core driver in how our product empowers security teams. You will be expected to deeply understand customer needs and translate them directly into product features that deliver real value. You'll own key parts of our frontend stack, drive key architectural decisions, and turn complex security data into clear, actionable business insights.
You will lead product vision and execution for critical capabilities that help organizations secure their AI systems end-to-end from data flows, to model governance, to AI usage in production. You will be accountable for turning complex customer problems into scalable product solutions, driving alignment across teams, and ensuring measurable customer and business outcomes.
This is a high-visibility, high-impact role with true ownership, where you will partner closely with Engineering, Design, Data, Security, and GTM teams to build a category-defining AI Security platform.
What Youll Do:
Own Product Strategy & Vision (End-to-End)
Define and own the product vision, strategy, and long-term roadmap for core AI security domains.
Make clear prioritization decisions based on customer value, business impact, and technical constraints.
Act as the product owner and decision-maker throughout the entire product lifecycle.
Requirements: What you bring:
5+ years of experience in Product Management or Product Leadership roles, ideally in cybersecurity, AI, or enterprise platforms.
Proven experience owning products end-to-end, from strategy through production and adoption.
Strong technical background (software engineering, data engineering, or equivalent).
Ability to lead complex, ambiguous problem spaces and make confident product decisions.
Experience working directly with enterprise customers and leading evaluations/POCs.
Excellent communication skills visual, verbal, and written with the ability to simplify complexity.
A strong sense of ownership, bias to action, and comfort in fast-paced startup environments.
Nice to Haves
Experience as a Product Lead or senior PM in early-stage, product-led startups.
Background in ML/AI systems, AI observability, or model governance.
Experience building internal platforms or developer-facing products.
Familiarity with LLM workflows, RAG pipelines, or multi-model orchestration.
Nice to Haves
Strong data-driven mindset with experience using analytics to guide product decisions.
Deep understanding of security implications across modern AI development lifecycles.
Familiarity with enterprise SaaS sales motions and B2B onboarding flows.
This position is open to all candidates.