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Stream

Marketing Operations Analyst, Revenue Operations

Boulder OfficeHybrid · United States
FullTime · Enablement-RevOps
POSTED 19 OCTVERIFIED 4H AGO
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Open for
15d
since 19 Oct
Hiring · 30d
8
0 net · open roles

About Stream

Stream powers real-time Chat, Video, Activity Feeds, and AI Moderation for more than 1 billion end users across 4,000+ apps, from Strava and Bumble to eBay and Patreon. Our platform processes billions of API requests per month and supports applications with millions of concurrent users, while delivering highly reliable, low-latency services and a great developer experience.

The role

We're looking for a Marketing Operations Analyst to join Stream on our mission of elevating the quality of apps for billions of users globally. You'll own the lead-management, outreach and marketing technology setup that Marketing, SDRs and Sales rely on every

This is a full-time, hybrid role based in our Boulder office, with 3 days a week in the office.

What you'll work on

You'll own Stream's marketing technology and lead-management setup end to end. In practice that means every inbound lead routes to the right person, SDRs follow up within SLA, marketing automation and outreach tooling run reliably, and funnel data is accurate enough that people trust the dashboards instead of arguing about them. You'll work with Marketing, Sales Development, Sales, Customer Success and Data Engineering, plus our automation, outreach, enrichment and deliverability vendors. You report to the VP of Revenue Operations. The bar is simple: when something breaks, you know before Marketing or the SDR team tells you.

Job responsibilities

Own lead routing: design and run the lead lifecycle end to end, with SLA tracking, so no inbound lead is lost, misrouted or left untouched.

Run marketing automation and outreach: campaign operations, list management, data plumbing and email deliverability, plus helping SDRs get the most out of outbound tools like Nooks.

Build monitoring: set up checks on routing, follow-up, outreach and marketing data flows, so failures and slowdowns show up here first.

Keep the data trusted: maintain accurate marketing and funnel data, and core dashboards that work for both daily operations and analysis.

Govern Salesforce: manage marketing objects, fields, permissions and integrations with good security hygiene.

Automate the friction: simplify and automate lead-management and marketing operations workflows instead of absorbing recurring manual work.

Bring solutions: flag risks, gaps and recommendations to Marketing and Revenue Operations early, with a proposed fix attached.

About you

You're the person who notices the routing rule that broke on Tuesday before anyone else does. You like owning a system end to end, you work independently, and you'd rather automate a recurring problem than fix it by hand every week. You're comfortable pushing back on Marketing, SDRs and Sales when a shortcut will cost data quality later. Stream is a scale-up, so things move quickly and not every process is documented yet. If you want a fully defined stack and a ticket queue, this probably isn't the role.

You have

3+ years in marketing operations, revenue operations or platform management at a B2B SaaS company

Hands-on Salesforce experience, including campaigns, leads, routing and basic admin

Experience owning a marketing automation platform: workflows, campaigns, segmentation and lead scoring or grading

Experience designing lead routing and the lead lifecycle, including SLA tracking

Experience using AI tools to analyze data and turn it into clear actions

Strong attention to detail, and a record of catching data and routing problems before stakeholders do

Clear communication, and the confidence to set and enforce best practices across Marketing, SDR and Sales

Bonus points

Salesforce Marketing Cloud, and migrating between marketing automation platforms

Outreach and sales engagement tooling, including deliverability and domain reputation

BigQuery and Looker, or comparable warehouse and BI tools

Building automated health checks for marketing data flows instead of manual spot checks

Full-funnel SaaS operations across Marketing, Sales and Customer Success

Marketing attribution

Automating repetitive marketing operations work, including with AI tools

Source · StreamFirst seen 2 NovOriginal ↗