Lead and grow the PM team: Hire top talent, give direct feedback, and build a team that levels up fast.
Ship on time with engineering: Partner with engineering leads to keep squads accountable to committed dates.
Make the team AI-native: Set and raise the bar on using AI tooling across the PM craft — discovery, PRFAQs, specs, research, reviews.
Own the PM operating rhythm: Run the cadence, rituals and prioritisation discipline that keep work moving.
Stay hands-on: Get into the detail — PRFAQs, customer calls, release reviews.

Cyber / SecOps fluency: Real security domain background — SIEM, SecOps or adjacent.
AI-native PM practice: A daily, fluent user of AI tooling.
Delivery mechanics: Strong on backlog, prioritisation and shipping on cadence.
Engineering literacy: Reads technical tradeoffs, dependencies and sizing well enough to challenge an estimate and earn engineering trust.
People leadership and coaching: Develops PMs deliberately — direct feedback, high standards, visible growth.
Energy and drive: Sets the pace and lifts the room.
Cross-functional influence: Holds engineering squads to delivery without line authority over them — through trust, clarity and persistence, not politics.
Bias to action: A startup and scale-up operator. Moves fast, decides with incomplete information, and thrives at high intensity.
Senior PM, ready to lead: A seasoned product manager at Principal or Lead depth.
Direct people-management experience is a plus, not a gate — a strong IC stepping into their first manager role is equally welcome, provided they have already led and grown other PMs informally.
Cybersecurity or enterprise software: Background in B2B security or enterprise software; SIEM or SecOps experience strongly preferred.
Scale-up environment: Has operated in a startup or scale-up — comfortable with ambiguity, pace and a heavy change load.
Proven delivery with engineering: A demonstrable record of shipping products on time in close partnership with engineering teams.

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