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Aleph

Senior Marketing Operations Engineer

Posted Yesterday
Remote
Hiring Remotely in USA
87K-195K Annually
Senior level
Remote
Hiring Remotely in USA
87K-195K Annually
Senior level
Own Aleph’s marketing operations infrastructure, including attribution, campaign and funnel reporting, lifecycle data models, lead scoring, and marketing automation. Build reliable agentic workflows for lead research, campaign insights, and content-to-pipeline signals. Partner with Marketing, Sales, and Finance while managing CRM, warehouse, email, event, advertising, and outbound systems. This hands-on role requires shipping and maintaining production-grade integrations, data models, monitoring, and AI-powered workflows.
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About Aleph

Aleph is an AI-native platform for Financial Planning & Analysis (FP&A), an established software category with a multi-billion market but no clear winner. We’re trying to solve a problem many finance teams are super familiar with: data scattered across a million systems, endless spreadsheets and way too much time spent getting numbers to line up instead of actually using them to make decisions.

Aleph was founded by Albert Gozzi and Santiago Perez De Rosso, two technical founders with backgrounds from Stanford and MIT and experience working at top-tier companies such as Google, Microsoft and Bain & Company. We’re backed by top VCs (Khosla Ventures, Bain Capital Ventures, YC, Picus Capital), and work with customers like Webflow, Notion, Zapier, Y Combinator and many others.

We are hiring remotely across the Americas (United States, Canada, LATAM).

 
🔍 What we're looking for

We're hiring a Senior Marketing Operations Engineer to build and own the systems, data and automations behind how Aleph generates, routes and measures marketing pipeline. You'll join RevOps, a small team that builds the infrastructure our go-to-market teams run on, and you'll be Marketing's main partner for everything Ops.

You’d join the team that put our sales team in the future: the CRM fills itself after every call, AI agents in Slack answer questions about any deal, a cheat sheet for the day’s meetings lands every evening, and reps get reminded of the follow-ups they promised. Marketing is next, and most of it is still a blank page: attribution, lifecycle, campaign infrastructure, and the agents the marketing team will use every day.

This is a hands-on builder role. You'll design how marketing data flows, ship agentic workflows the marketing team uses every day, and own what you build end to end, from spotting the need to keeping it running in production.

 
🧑‍💼 What you'll be doing
  • Own marketing reporting and the infrastructure behind it. Attribution the whole company trusts, campaign and funnel reporting Marketing doesn't have to ask for, and the pipes that keep it accurate, from HubSpot to the warehouse to the board deck.

  • Build agentic workflows for the marketing team. Inbound lead research and triage, campaign performance digests, content-to-pipeline signals: whatever removes toil or makes the team smarter, shipped in our stack and used every week.

  • Design the marketing data model. Lifecycle stages, campaign and UTM taxonomy, lead scoring, and one definition of marketing-sourced pipeline that Sales and Finance accept.

  • Be Marketing's point of contact for ops. Campaign operations, webinar and event flows, email and nurture infrastructure, outbound and ad-platform plumbing, with the same service bar we hold for Sales.

  • Own the stack. You will have creative freedom to improve the tech stack. We are continuously evolving and are not afraid to change things and, once in a while, break something.

     
📋 What you bring
  • Marketing ops depth. 4+ years in RevOps or Marketing Ops, including 2+ years owning marketing operations end to end: the marketing side of the CRM, lead lifecycle, attribution and reporting. HubSpot fluency is a strong plus.

  • Technical depth. You were writing and shipping code before AI could do it for you, and it shows in how you work: you can tell when generated code is wrong, and you know the difference between a prototype and something that runs unattended. Today you build with Claude Code, Cursor and n8n, and you've shipped at least one LLM-powered workflow that a business team actually uses reliably.

  • You've built infrastructure that scaled. Data models, integrations, monitoring, failure modes. You're at home in a terminal and you know where your code runs and how to get to it: servers, environments, an SSH tunnel when that's what it takes. You've run systems other people depended on, and you know what breaks at 5x the volume.

  • Analytical range. You reason about code, funnel models and compensation plans with the same rigor, and you can hold your own in an attribution debate with Sales and Finance.

  • Operating partner, not order taker. You spot what the marketing team needs before they ask, write things down, and own the outcome rather than the ticket.

 
🛠️ Tech stack

You're familiar with most of this, or you can learn it quickly:

  • CRM and marketing automation: HubSpot (Marketing and Sales Hub), Default for lead routing, Amplemarket for outbound, Webflow for our website

  • Channels: LinkedIn, Meta, Google and Reddit ads; webinars and events

  • Data: BigQuery as the warehouse; Aleph itself for GTM dashboards and reporting

  • Automation and AI: n8n, Python and Claude (Claude Code, agents, skills, MCP). We mostly build rather than configure

  • Where it all lands: Slack. Alerts, approvals, slash commands and bots live where the team already works

  • Everything else: Fathom for calls, Linear for work, GitHub for code

While this is a remote-first opportunity, we're focusing on candidates within the Americas to better align with our working hours as a team.

Aleph is an equal opportunity employer that is committed to diversity and inclusion in the workplace. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristic as outlined by federal, state, or local laws.

This policy applies to all employment practices within our organization, including hiring, recruiting, promotion, termination, layoff, recall, leave of absence, compensation, benefits, training, and apprenticeship. Aleph makes hiring decisions based solely on qualifications, merit, and business needs at the time.

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