---
title: 'Founding Marketer at Cleric'
canonical: 'https://feeny.ai/job/founding-marketer-cleric-san-francisco-jbyq1v4qkb1h'
type: 'job'
last_seen: '2026-09-07'
---

# Founding Marketer at Cleric

- **Company:** Cleric
- **Location:** San Francisco, CA
- **Compensation:** $120k–$160k
- **Employment:** full-time
- **Posted:** 2026-01-03
- **Last confirmed live:** 2026-09-07
- **Apply:** https://jobs.ashbyhq.com/cleric/d15cbc60-8642-424a-ad16-306d88420531

## Job description

## WHERE WE ARE

Engineers spend their days switching between dashboards, terminals, and observability tools. They diagnose issues, chase alerts, and do the repetitive work that keeps systems running. Most of it isn't hard. But it's constant. It crowds out the work that actually makes systems better.

Cleric is an AI SRE teammate. We autonomously diagnose production issues across complex distributed systems. Not just the big outages. The small stuff too. No fix is too small. Engineers can focus on building. Systems get more resilient because problems actually get addressed.

Think of it this way: coding agents are becoming the future of the IDE. Cleric is the equivalent for production operations. We're the future replacement for the dashboards and terminals where engineers who monitor production live today.

It's working. Gartner named us a Cool Vendor in SRE and Observability. 80% of diagnoses are rated as accurate by senior engineers. Teams see value in 24 hours. Two-week pilots convert to one-year contracts. Customers include BlaBlaCar, the largest long distance mobility platform in Europe and we've raised $9.8M from Zetta and Vertex.

What we need now is someone to turn that into a consistent, qualified pipeline.

## THE ROLE

You'll build the marketing function. The infrastructure, the programs, and the team. You'll own how it all comes together and scale it as we grow.

You’ll lead the marketing function, collaborating with our senior product marketer to scale our technical narrative into high-impact programs and pipeline. You'll riff with us on messaging, take it to market, and iterate with your team. You own execution. High autonomy, hands-on, and full agency to experiment.

## GROWTH

- Build programs that reach platform and infrastructure engineers. Create content and programs that engineers find genuinely useful. The community follows from that.
- Design and run lead generation across content, events, community, partnerships, and outbound
- Work with founders and sales on ICP, qualification, and sales handoff

## MESSAGING & CHANNELS

- Turn our product story into campaigns that run. Website, events, sales enablement.
- Keep quality and consistency across everything external
- Manage PMM, writers, agencies, contractors. Brief them well. Hold the bar.

## INFRASTRUCTURE

- Own the stack. CRM, lifecycle, analytics, attribution.
- Build dashboards tied to pipeline and revenue. Know what's actually working.
- Test and iterate. We care about what generates quality pipeline, not activity metrics.

## TEAM

- Execute hands-on first. Prove what works before building a team around it.
- Hire early marketing team members as we scale
- Decide what to build, what to outsource, when to change the model

## WHO YOU ARE

- Based in SF and excited to work in-office.
- CS degree or equivalent technical foundation. You can hold a 30-minute conversation with a platform engineering lead without getting lost.
- You're scrappy. You ship imperfect things, learn fast, iterate.
- You've done this before there was a big team, clean data, or an established playbook
- You've built or scaled demand gen at an early-stage B2B company selling to engineers, SREs, platform teams, or DevOps
- You're comfortable owning a pipeline number

## HOW WE WORK

We bias toward launching and learning. A campaign that ships next week and teaches us something beats a comprehensive plan that ships next month.

Some marketing orgs optimize for polish and coordination. We optimize for speed and iteration. Both approaches can work. Ours requires comfort with imperfect information and a willingness to be wrong.

## WHAT SUCCESS LOOKS LIKE

Six months in:

- Qualified leads that match our ICP. Not just volume.
- Clear picture of which channels and programs drive pipeline
- Sales treats marketing as a source of opportunities, not a cost center
- Pipeline that doesn't depend on founder heroics
- A community of engineers who genuinely care about Cleric - they share, refer, and engage because they're excited, not prompted

## WHY NOW

The product works and we have real traction. What's missing is the engine to turn that into consistent growth. You'd be building it at a company where the hard part—making something engineers actually want—is already done.

## INTERVIEW PROCESS

1. Intro call – How you think, technical screening, questions on the role
2. Marketing deep dive (45 min) – Dig into real projects you've run with our product marketer
3. Live problem-solving (45 min) – Work through a real Cleric scenario with our PM
4. Bar raiser (30 min) – Values, working style, hard questions both directions

## About Cleric

## Company Overview
- **One-liner**: Cleric builds a self-learning AI SRE agent that autonomously investigates, diagnoses, and resolves production incidents by mapping dependencies, reasoning across the stack, and compounding knowledge from every investigation.
- **Entity Type**: Private (Seed stage)
- **Headquarters**: San Francisco, California, United States
- **Founded**: 2023
- **Founders**: Shahram Anver (CEO), Willem Pienaar (CTO)

## Core Business
- **Primary industry**: AI-powered Site Reliability Engineering (SRE) / Developer Operations (DevOps) / Observability
- **Target customers**: B2B, Engineering teams at mid-to-large enterprises running complex, multi-service production environments (e.g., those using Kubernetes, Datadog, PagerDuty, AWS/GCP/Azure)
- **Mission or purpose statement**: Free engineers from on-call by building an AI teammate that turns reactive ops into proactive engineering and captures institutional knowledge from every incident.

## Products & Services
- **Cleric AI SRE Agent**: A self-learning AI agent that integrates read-only into a company's tech stack (APIs, no agents). It ingests logs, metrics, traces, alerts, Kubernetes state, and documentation to build a live knowledge graph of the environment. When an alert fires (via PagerDuty, Sentry, Alertmanager, etc.), Cleric autonomously forms hypotheses, investigates using first-principles reasoning, and delivers a root cause diagnosis with evidence directly in Slack. It can also collaborate with engineers to ship fixes. The system learns from every incident, building reusable diagnostic skills across services and teams without retraining.

## Market Standing
- **Valuation/Market Cap**: Not disclosed (Private)
- **Key Metric**: Total Funding: $8.6M (Seed round)
- **Notable Investors/Partners**: Zetta Venture Partners (lead), Vertex Ventures US (lead)
- **Growth Signals**: 
    - Workforce of 19 employees with a monthly headcount growth of +5.9%.
    - 4 active job postings as of mid-2025, with quarterly job posting growth of +100%.
    - LinkedIn follower count growing at +1.9% monthly.
    - Claims 92% actionable findings and over 200,000 minutes saved on time to root cause.

## Competitive Advantages
- **Reasoning, not rules**: Unlike simple log summarizers or runbook-based tools, Cleric uses a hypothesis-driven investigation approach, reasoning from first principles like a senior SRE.
- **Compounding knowledge**: Cleric captures semantic, episodic, and procedural memory from every incident, applying learnings across the entire system without manual tuning or retraining. This prevents tribal knowledge loss when engineers leave.
- **Read-only by design**: Deploys via APIs with a minimal footprint, is SOC 2 Type II compliant, and encrypts data everywhere. This lowers security friction for adoption.
- **Live system mapping**: Automatically discovers services, dependencies, and ownership without requiring configuration or code changes.

## Strategic Focus
- Becoming the standard AI teammate for production operations, moving beyond alert triage to autonomous investigation and fix collaboration.
- Deepening integrations with the modern cloud-native stack (Kubernetes, Datadog, PagerDuty, Slack, etc.).
- Scaling the team, particularly in AI/ML engineering, backend engineering, and go-to-market roles.

## Why Work Here
- **Mission-driven work**: Tackle the hard, unsolved problem of autonomous incident response using LLMs, knowledge graphs, causal reasoning, and agent evaluation.
- **Strong founding team**: Led by veterans of AI and platform engineering who have experienced the pain of on-call firsthand.
- **In-person culture**: All roles are based in the San Francisco office, fostering close collaboration.
- **Benefits**: Full medical, dental, and vision coverage, One Medical membership, multiple team offsites per year, and a PTO policy with a "real recharge culture."
- **Growth stage**: As a well-funded seed-stage startup with clear product-market fit signals, early employees have significant ownership and impact.

## Sources
1. [cleric.ai](https://cleric.ai/)
2. [cleric.ai/careers](https://cleric.ai/careers)
3. [cleric.ai/about](https://cleric.ai/about)
4. [linkedin.com/company/cleric-ai](https://www.linkedin.com/company/cleric-ai)
5. [cleric.ai/product](https://cleric.ai/product)

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