Marketing Operations Engineer

Instrumentation

Instrument the funnel end to end, from first touch through pipeline, with clearly defined stages, clean handoffs, and conversion tracking that the team can actually trust and act on.

Data Infrastructure

Own the marketing data model and hygiene in Attio, our source of truth, and the integrations that keep it accurate.

Lifecycle Automation

Build and own the lifecycle and nurture automation, from logic to execution, so the right contact gets the right motion without manual lift.

Attribution & Reporting

Stand up attribution and the reporting layer: dashboards that keep marketing performance accurate, current, and tied to revenue.

Automation & Integrations

• Build agents, automations, and integrations (APIs, MCP servers, scripts) that take repetitive and time-sensitive work off the team's plate, from reporting to lead follow-up to internal workflows.

Lead Scoring

Design and maintain lead scoring models (predictive and rule-based) that combine firmographic and behavioral signals from across our data sources.

Productization

Productize what works. A system built for one workflow should become reusable across the team. Version it, document it, and improve it like a product.

Measurement & Iteration

Measure what you build. Define what good looks like, instrument your own workflows, track adoption, and retire what isn't earning its place.

Search & SEO

Maintain lightweight tracking of how Hypha shows up in search and AI-generated answers, enough to inform the content motion without owning editorial SEO.

Qualifications

• A builder first. You have shipped agents, LLM workflows, automations, or data pipelines into production and watched real users adopt them.
• Strong programming skills in Python, JavaScript, or similar, with hands-on experience building API integrations, data pipelines, and automation.
• Experience building automation orchestration using n8n, Railway, or similar tools for complex, multi-system workflows.
• Experience using modern enrichment & intent tools such as Clay and Apollo.
• Fluent with AI agents, LLM-powered tooling, and MCP.

Skills

• A systems thinker who chooses the scalable solution over the one-off, and who is relentless about data quality.
• A clear communicator who can translate technical decisions into business impact, and who challenges assumptions with evidence rather than defaulting to best practices.
• Comfortable in ambiguity and energized by zero-to-one.

Benefits

• Four or more years building systems for go-to-market teams (marketing, revenue, or sales operations, or technical or growth engineering) is a strong signal, but a strong builder portfolio matters more than time in seat.
• B2B or enterprise marketing experience is a plus.

Pay

$180,000–$220,000 base salary plus equity

Schedule

Hybrid, 4 days onsite