Growth Hacker
Job Description
About Cogent Security
Cogent is redefining vulnerability management with an AI-native platform that helps security teams cut through the noise and fix what matters. We're backed by top-tier investors, growing rapidly, and building the go-to-market engine to match.
About the Role
Cogent is a premier Series-A AI startup, and we've built one of the most differentiated GTM motions in cybersecurity. We have a rich data layer, a multi-agent platform, and signals flowing in from every direction: intent data, competitive engagement, account intelligence, event interactions, and product usage. The dashboards and agents are already in place, and we're looking for the third person on the growth team to keep building it with us.
The Growth Hacker partners with me and Andrew (our GTM Engineer) to finish and continuously improve the account intelligence layer, the intent layer, and the automation that sits on top. The whole point is to touch the right folks at the right time with the right message, activity, or experience, and everything else flows from there.
Plays come in every shape. Some are pure digital, like a campaign sequence triggered off competitive engagement or a paid push timed to a market event. Others are pure field, like a curated dinner for accounts in a specific buying window. Most are a combination, sequenced together so every channel reinforces the next. Your day could go from running conversion analysis in the morning to planning a yacht party in NYC by lunch, with plenty in between.
I'm looking for someone creative, analytical, and with a get-shit-done attitude. We're building the best growth team in cyber, and this role joins me and Andrew to make that happen.
What You'll Do
ICP and signal intelligence
Own and refine the ICP, and turn it into the audiences that plays and campaigns target
Operate and extend the signal layer alongside Andrew: intent data, engagement, competitive moves, account intelligence, and event interactions. Build out what we haven't covered yet and improve what's already there
Synthesize what's saying "now" vs "later" vs "never" and build account scoring that prioritizes outreach across the full GTM org
Play design and orchestration
Design plays that put us in front of the right buyer at the right moment. Some are digital, some are field, and most are a combination. Each play has a defined audience, a triggering signal, a sequence, and a measurable outcome
Run rapid experiments at a fast cadence: hypothesis, build, measure, kill or scale
Maintain a play library that reps and partners can pull from, so the right play activates when a signal hits
Digital execution
Lifecycle automation in HubSpot: lead scoring, routing, nurture, and recycling, all built around plays rather than static segments
Targeted campaigns covering competitive displacement, market timing, and intent-triggered outreach
Paid digital across LinkedIn ads, Google search, and AI relevancy campaigns, tied directly to play targeting
Multi-touch attribution so every play has a measurable line to pipeline
Field as a play surface
Use events (20+ per quarter) as a high-leverage delivery channel for plays that need in-person execution
Pre-event: enrich registration lists, identify high-value targets, and brief reps on the play
At-event: quarterback the team to execute the in-person side of the play
Post-event: build follow-up sequences that close the loop, treating conversion as a play in itself rather than a logistics task
Manage the vendor ecosystem and partner with PMM on talk tracks
AI and infrastructure
Operate and extend the multi-agent systems alongside our GTM Engineer
Feed the reporting layer so play performance flows cleanly into the models
What We're Looking For
Creative, analytical, and brings a get-s***-done attitude
Ideally you've worked in growth at a B2B or PLG company. Former consultants, bankers, biz ops, and chiefs of staff are also interesting to me. Smart people impress me more than having done the job before. Cybersecurity experience is a plus, not a requirement
You approach growth like a builder. Signal is raw material, and your job is to turn it into compelling plays that buyers actually respond to
Deep HubSpot expertise (or equivalent CRM). You've architected lifecycle automation rather than inherited it
Comfortable across paid, organic, lifecycle, content, and field, without picking one and ignoring the rest
Quantitative rigor: conversion models, attribution, and experiment design
AI-native, with experience building workflows using AI agents. You'll be operating multi-agent systems here as a core part of the role
Startup mentality. The same day might have you writing a campaign brief in the morning and shipping swag to Vegas by afternoon