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We're looking for an AI Growth Marketing Lead to build the demand engine for our Agentic HR platform from the ground up. We're creating a new category, and you'll define what an AI-native growth motion actually looks like: not by directing it, but by building it yourself with the best tools available, and owning the pipeline number it generates.

In your day-to-day, you'll run the full path across our mid-market and enterprise motions - paid, organic, content, email, webinars, ABM, events, and executive roundtables - while designing and shipping the AI-powered workflows that make it all run: intent-triggered outbound in Clay, agents in Claude and n8n, pages and campaigns you spin up yourself instead of waiting on anyone. You'll work closely with Sales, Alliances, and Product, and have unusual latitude to test, ship, and scale what works.

One thing to be clear about: this is not a marketing ops or tools-configuration role. The tools are your leverage. Marketing judgment, including knowing what moves an enterprise buyer, what a healthy funnel costs, and which experiments deserve to live, is the job.
Responsibilities
In this role you'll

Own the pipeline generation number and the growth strategy behind it: targets, channel mix, budget allocation, and the experimental framework to hit them
Design and run the full demand generation mix, tuned to the different rhythms of mid-market and enterprise buying cycles
Build the AI-native motions displacing traditional spend: intent-triggered outbound, AEO/GEO, signal-based plays, and agent-run workflows that work while you sleep
Run a disciplined test-and-iterate loop across channels, messaging, offers, and audiences - compounding what works, cutting what doesn't
Design, build, and maintain the workflows that run the growth motion, hands-on in Clay, Claude, n8n, Qualified, HubSpot, and Salesforce, and continually adopting what's next
Define the metrics that matter, build the reporting cadence, and present pipeline performance and spend efficiency to leadership
Work shoulder-to-shoulder with our C-suite to build and scale our growth engine - no layers, no red tape. Your growth experiments shape company strategy from day one
Partner with sales and product to keep messaging tight and conversion high at every touchpoint

Alice is hiring a Senior Software Developer to lead the development of our internal malware research platform. This is a senior, hands-on role with end-to-end ownership of development and delivery. You'll be the technical authority — setting code-quality standards, making the architecture calls, and mentoring the developer team. What makes this role different is who you build for. Our users are our malware researchers, and they use the tool every day. Your job is to sit beside them, learn how they actually work, surface the heuristics and edge cases they carry in their heads, and build agentic tooling that compounds their productivity. The bar isn't "does it ship" — it's "do the researchers reach for it every day." Success is measured in researcher adoption and time saved, not features merged. Agentic workflows are core to how we build. You should be fluent using them and confident designing systems where agents run in production — with clear judgment about where an agent earns its keep versus where deterministic code or a human-in-the-loop is the right call. What You'll Do Lead development and delivery
* Own technical execution end-to-end: implementation, code review, and release.
* Translate research workflows and feature requests into well-scoped tasks with realistic, risk-aware estimates the team can plan against.
* Manage day-to-day execution: unblock people, sequence work, catch problems early.
* Set and defend the technical bar: review rigor, testing discipline, documentation, architectural consistency. Partner with the researchers — and amplify them
* Embed with malware researchers to understand their workflow and capture the tacit knowledge and edge cases no spec ever wrote down.
* Translate that knowledge into reliable agentic tooling — and know when an agent is confidently wrong before it ever reaches a researcher.
* Spend roughly 5–10% of your time doing actual malware research (with structured onboarding) to stay close to how the tool is used.
* Be willing to tell a researcher when a proposed workflow won't automate well — and explain why. Be the technical authority and mentor
* Make the hard architecture and design trade-off calls.
* Mentor through code review, pairing, and design discussions. Raise the level of everyone around you.
* Dive deep on the critical, difficult features and bug fixes yourself.
* Design agentic workflows into the architecture from the start, and build the evaluations and guardrails that keep them trustworthy.

About Alice:
Alice is a trust, safety, and security company built for the AI era. We safeguard the communicative technologies people use to create, collaborate, and interact—whether with each other or with machines. In a world where AI has fundamentally changed the nature of risk, Alice provides end-to-end coverage across the entire AI lifecycle. We support frontier model labs, enterprises, and UGC platforms with a comprehensive suite of solutions: from model hardening evaluations and pre-deployment red-teaming to runtime guardrails and ongoing drift detection.