About the Role:
Cority is building the next generation of AI-powered EHS software, and we’re looking for a Senior Product Manager to own the AI platform that powers it. This is the foundation everything else gets built on, so the bar is high and the work is hands-on.
We want a builder. Someone whose first instinct on a hard question is to prototype it, not to write a PRD about it. You’ll partner closely with engineering on day-to-day delivery, but you’ll also run your own experiments, mockup flows, and pressure-test ideas before they ever hit a sprint.
Day-to-Day Delivery. Work hands-on with engineering to write user stories, manage the backlog, drive sprint execution, and remove blockers. This is where most of your time goes.
AI Platform Roadmap. Own and prioritize the roadmap for Cority’s AI platform in partnership with engineering and stakeholders across the business. Translate strategy into executable plans.
Prototyping and Experimentation. Build quick prototypes and run A/B tests to validate ideas before they enter the roadmap. Comfortable using modern AI-assisted tooling to mockup flows, stand up demos, and stress-test assumptions yourself rather than waiting on engineering cycles.
Stakeholder Coordination. Be the connective tissue between engineering, product teams, and leadership. Keep everyone aligned, communicate progress clearly, and flag issues early.
Trust and Governance. Champion trust, security, and data governance as foundational platform requirements. Work with engineering to ensure these are built in, not bolted on.
Agile Execution. Own the tools and processes that keep the team running, including Aha, Jira, sprint planning, and delivery tracking.
Use Case Partnership. Partner with domain PMs to validate platform capabilities through prototypes and experiments, ensuring real product needs are met and use cases ship on time.
10+ years in product management, with a strong track record of working closely with engineering teams in an agile environment.
Experience working on AI products in a production environment. You understand what makes AI products different to build, test, and ship.
Has taken AI features from concept through production and owned them post-launch, improving quality, responding to failures, and iterating based on real-world signal.
Experience operationalizing agentic systems in production, managing failure modes and the complexity that comes with multi-agent workflows.
Has owned observability and evaluation for AI products in production. You can define what good looks like, track it over time, and use signal to drive improvement.
A builder by default. When faced with a hard question, your instinct is to prototype it, run an experiment, or ship a working demo, not to schedule a meeting or write a spec.
Comfortable using modern AI-assisted tooling, and able to pick up new tools quickly as the landscape evolves.
Treats experimentation as a core part of the PM job. You design experiments, define success metrics up front, and let real-world signal drive decisions instead of opinion.
Proven ability to write clear user stories, manage complex backlogs, and drive delivery in fast-moving environments.
Comfortable working in a high-paced environment where priorities shift, decisions are made with incomplete information, and progress matters more than perfection.
Strong stakeholder management and communication skills. Comfortable working across engineering, product, and executive audiences.
Treats security, safety guardrails, data governance, and trust as foundational design decisions from day one.
Proficient with Aha and Jira (or equivalent), and experienced running agile ceremonies that keep engineering teams on track.
Experience in enterprise SaaS or EHS background is a strong plus.
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