Build a safer world with us, one incident at a time.
Ambient.ai is the category creator and leader in Agentic Physical Security. Powered by Ambient Pulsar, the first reasoning Vision-Language Model purpose-built for physical security, our platform seamlessly integrates with existing security cameras and physical access control systems to unify monitoring, access control, threat assessment, response, and investigations through an always-on reasoning layer that augments security operators with superhuman capabilities. The results: 95% fewer false alarms, investigations 20x faster, and 10x faster response.
The momentum speaks for itself: we doubled new ARR in FY26, we process 200M+ video hours per day, and have delivered results for world-class customers including Cisco, ServiceNow, SentinelOne, TikTok, Bayer, and MoMA. That kind of momentum creates an environment where great people thrive, and it shows: we recently ranked #71 out of 500 on the
Forbes best startup employers list
.
Founded in 2017 and backed by Andreessen Horowitz, Y Combinator, and Allegion Ventures, Ambient.ai is on a fast-paced journey to fulfill our mission: prevent every security incident possible.
Ready to learn more? Connect with us on
LinkedIn
and
YouTube
About the role:
In this role, you’ll own the marketing tech stack, the data, and the systems that turn campaigns into a pipeline. This is a hands-on, builder role — equal parts operator, architect, and AI engineer.
You’ll be the connective tissue between marketing, sales, RevOps, and BDR. If our attribution model is wrong, our lead routing breaks, our MQL-to-S1 conversion drops, or a campaign launches without proper UTM hygiene — that’s your problem to solve. If we want to scale 10x without adding headcount, you’re the one architecting the agents and automations that make it possible.
What you’ll do:
Marketing automation and CRM:
HubSpot as our marketing automation platform — workflows, lifecycle stages, lead scoring, list hygiene, form architecture, integrations
Salesforce sync, field mapping, and shared data model with RevOps
Lead routing logic and SLA enforcement across BDR and AE teams
MAP/CRM governance — who has access to what, audit trails, data retention
Attribution and reporting:
Multi-touch attribution model — what touches we credit, how we weight them, how we reconcile self-reported vs. tracked source
Source-of-truth dashboards for MQLs, S1s, S2s, CPL, ROAS, pipeline contribution by program
Weekly and quarterly reporting cadence — pacing against goal, channel-level performance, deal velocity by source
Marketing P&L hygiene — budget vs. actuals by program, partnership with Finance on accruals
AI agents and automation:
Build and maintain the marketing AI agent stack (Claude, MCP servers, n8n, Supabase)
Operationalize agents for influencer signal detection, content generation, competitive intel, and weekly recaps.
Knowledge base infrastructure — how marketing context, brand assets, and historical campaign data are stored, retrieved, and used by agents.
Partner with GTM Engineering on intent signal layering and Revenue Intel integrations
Cross-functional:
Sales partnership — work with RevOps on shared definitions (what’s an MQL, what’s an S1, what makes a lead enrichable)
BDR enablement — make sure they get the right leads with the right context at the right time
Vendor management for the martech stack
What you'll bring:
6+ years in marketing operations at a B2B enterprise software or SaaS company
Deep HubSpot expertise — you’ve architected lifecycle stages, built workflows from scratch, and debugged the weird ones
Salesforce fluency — you can read a flow, write a SOQL query, and explain why a lead didn’t route
Hands-on with a paid media platform (Metadata, 6sense, Demandbase, or similar ABM tooling)
Comfort with attribution complexity — you know first-touch vs. last-touch vs. W-shaped, and you have an opinion on which is right for which question
SQL or comfort in BI tools (Looker, Tableau, Hex, or similar)
Experience operationalizing AI tools in a marketing workflow — not just experimenting, but shipping into production
Strong written communication, you can document a process so the next person can run it.
Bonus points:
Experience with Clay, n8n, Supabase, or other agent infrastructure
You’ve built or contributed to an MCP server, a Claude project, or a custom AI agent
Background in physical security, IoT, or enterprise infrastructure software
You’ve worked closely with a BDR team and know what good lead routing actually looks like.
Python or TypeScript proficiency
Why join us:
We are creating an entirely new category within a 180+ billion-dollar physical security industry and looking for team members who are also passionate about our mission to prevent every security incident possible
We have an impressive customer roster of F500 companies.
Regular Full-time employees receive stock options for the opportunity to share ownership in the success of our company
The latest tech and awesome swag will be delivered to your door
Enjoy a full range of opportunities to connect with your awesome co-workers
Ambient.ai is proud to be an Equal Opportunity Employer. Ambient does not unlawfully discriminate on the basis of race, color, religion, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), gender identity, gender expression, national origin, ancestry citizenship, age, physical or mental disability, legally protected medical condition, family care status, military or veteran status, marital status, registered domestic partner status, sexual orientation, genetic information, or any other basis protected by local, state, or federal laws. Ambient is an E-Verify participant.
