Sierra Central Credit Union
Marketing Operations & Analytics Lead
San Francisco, CA · Full-time
Sponsorship not specifiedDetected 40 days ago
SQLBigQuerySnowflakeMarketing AnalyticsHubSpotSalesforceMarketoSalesAR/VRLeadership
About the role
- This is a foundational role on Sierra's Operations team, sitting at the intersection of marketing and GTM.
Responsibilities
- Full-funnel attribution: Design and own Sierra's marketing attribution framework, connecting campaigns, events, content, and demand gen programs to pipeline generation and ultimately LTC conversions.
- Pipeline analytics: Partner with Marketing and Sales to analyze pipegen by vertical, region, and segment. Track conversion rates at each stage and surface where marketing programs are-and aren't-generating high-quality opportunities.
- Performance reporting: Build and maintain the marketing team's core performance dashboards-campaign ROI, event pipeline influence, channel mix, lead quality, and funnel velocity.
- ICP & account intelligence: Develop data-driven ICP scoring and account prioritization models to focus marketing investment on segments with the highest win rates and ASPs.
- Experiment design & optimization: Design rigorous A/B and multivariate tests across marketing channels. Establish the statistical standards the team uses to evaluate new programs
- Lead management & routing: Define and maintain lead scoring models, MQL thresholds, and routing logic from first touch to Sales handoff. Partner with Sales to ensure lead quality, minimize friction, and continuously improve conversion from MQL to pipeline.
- Campaign operations: Own the operational infrastructure behind campaign execution-email programs, landing page workflows, event lead capture, and list management. Build processes that let the demand gen and events teams move quickly without creating data debt.
- Hands-on martech stack experience-marketing automation (Marketo, HubSpot, or similar), Salesforce, lead routing, and third-party enrichment tools
- Experiment design & optimization: Design rigorous A/B and multivariate tests across marketing channels. Establish the statistical standards the team uses to evaluate new programs; translate results into clear, actionable recommendations-not just p-values.
- We build trust in AI by making it more accessible, safe, and useful.
Requirements
- 12+ years spanning marketing analytics and marketing operations
- Deep expertise in attribution modeling, multi-touch funnel analysis, and pipeline/revenue measurement in long, multi-stage enterprise sales cycles
- Proven ability to translate complex analyses into clear narratives for non-technical stakeholders, including C-suite executives
Compensation
- contribute to quarterly business reviews (QBRs) and annual planning with marketing-specific performance analysis and forecasts
Benefits
- We want our benefits to reflect our values and offer the following to full-time employees:
- Flexible (unlimited) paid time off
- Medical, dental, and vision benefits for you and your family
- Life insurance and disability benefits
- Retirement plan dependent on country of employment
- Parental leave
- Fertility and family building benefits through Carrot
- Discretionary benefit stipend giving people the ability to spend where it matters most
- These benefits are further detailed in Sierra's policies, may vary by region, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans.
- Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies.
Company info
- At Sierra, we're creating a platform to help businesses build better, more human customer experiences with AI. We are primarily an in-person company based in San Francisco, with growing offices in Atlanta, New York, London, Paris, Madrid, Munich, Singapore, Tokyo, and Sydney.
- We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and Family. These values are the foundation of our work, and we are committed to upholding them in everything we do.
- Our co-founders are Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google's AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace.
- The role
- At Sierra, we're creating a platform to help businesses build better, more human customer experiences with AI.
- We are primarily an in-person company based in San Francisco, with growing offices in Atlanta, New York, London, Paris, Madrid, Munich, Singapore, Tokyo, and Sydney.
- We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and Family.
- These values are the foundation of our work, and we are committed to upholding them in everything we do.
- Our co-founders are Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/.
- Bret currently serves as Board Chair of OpenAI.
- Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook.
- Bret was also one of Google's earliest product managers and co-creator of Google Maps.
- Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs.
Visa & Work Authorization
- gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class
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This listing is sourced directly from Sierra Central Credit Union's careers page and normalized into a canonical job model.