Growth Marketing Manager (On-Site)

Oakland, California
Marketing & Merchandising – Marketing /
Full Time /
On-site
About Good Eggs

At our core, we represent radical freshness, impeccable quality, curated selections and exceptional service. Picked yesterday, baked this morning, by the people we know and trust. We go straight to the source and bring only the best right to you. We're Good Eggs.

About the Role

Good Eggs is hiring a Growth Marketer. You will design and lead acquisition and customer lifecycle efforts through dedicated data-driven analysis and marketing methods.

We have rich, complex datasets collected in a multi-sided marketplace. Our marketing team is responsible for paid search and social, email, direct mail, social media, and merchandising.
 
You will collaborate with your marketing and data colleagues to perform a wide variety of analytical tasks to create business insights using existing datasets, ranging from: 
*Hypothesis testing, 
*Designing and evaluating A/B tests, 
*Conducting ad-hoc research, 
*Creating marketing metric dashboards, 
*Crafting complex queries, 
*And developing sophisticated predictive models. 

The ideal candidate will be data-driven, intellectually curious, and a clear communicator.

Duties & Responsibilities

    • Lead the development, planning and execution of our multi-channel, full-funnel performance marketing program. You will be accountable for all acquisition marketing performance, aimed at maximizing growth KPIs.
    • Improve key growth KPIs including ROAS, CAC, revenue, and conversion rate while maintaining a healthy LTV to CAC ratio. Own management and oversight of marketing channel attribution and optimization.
    • Identify and lead data infrastructure and analytical improvements to ensure data accessibility, accuracy, and consistency leading to faster and more effective decision making and improved operational efficiency.
    • Partner with business, data, and technology stakeholders to increase new customer acquisition, retention, and revenue.
    • Help build and maintain data products such as but not limited to CRM platform integrations, and marketing analytics tools in close partnership with data and technology team members.
    • Conduct deep data analysis in large consumer data (CRM, Marketing Analytics) in order to understand and support stakeholder needs.
    • Help manage paid agency and external partners that relate to the function of performance marketing.
    • Develop cohort-specific acquisition strategies leveraging personalization to maximize performance within each cohort.
    • Work closely with the business team to prioritize, build, and implement growth strategies that meet business requirements. Collaborate with engineers to clarify stakeholder requirements and support the team by conducting validation when needed.
    • Change how we think, act, and utilize our data by performing exploratory and quantitative analytics, data mining, and discovery.
    • Design dashboards and data visualizations to communicate meaningful metrics for our marketing and food teams.
    • Find opportunities for improvement in reporting; modify existing tools, techniques, or processes to improve our data-driven partnerships.

Qualifications

    • Bachelor's degree required in Computer Science, Statistics, Mathematics, Finance or Economics. Masters Degree, preferred in Statistics, Mathematics or Computer science.
    • 5 years of experience in data analytics, particularly supporting growth and/or marketing functions.
    • 2 years of experience in direct-to-consumer and/or digital marketing domain.
    • 2 years of experience with data analysis and turning data into insights and recommendations.
    • Strong SQL skills are required
    • Expertise in at least a few scripting languages – Python, SQL, or Similar
    • Experience with a business intelligence tool is required (Mode Analytics, Looker, Tableau, or similar. Tableau preferred)
    • Experience in grocery retail or eCommerce is a plus.
    • Experience with a statistical scripting language is a plus (e.g., R or Python)

Competencies

    • Ability to build compelling presentations from data that summarizes complicated data and insights.
    • Ability to work in fast-paced, high-pressure, Agile environments.
    • Ability and willingness to learn any new technologies and apply them at work in order to stay ahead of the curve.
    • Excellent oral, written, and presentation skills – prior experience in conducting stakeholder meetings and presentations.

    • We can’t wait to meet you. Please apply with your resume, cover letter, and if available any samples of your work.
$125,000 - $136,000 a year
Why work for Good Eggs?

Work for a purpose-driven company in an incredible work environment with passionate, diverse, and accomplished team members. 

Our benefits and compensation package is the following for this role: 

Targeted compensation range: 125k - 136k
Equity: 1250
Vacation Time 
Paid Sick Time  
Enrollment after 90 days in our 401(k) Retirement Savings Plan (not matching at this time)
For employees working 30+ hours per week, Medical, Dental and Vision plans with Kaiser & United Healthcare 
Generous Parental Leave 
Life Insurance, AD&D, Short and Long-Term Disability - all eligible employees receive coverage 
20% Employee Discount

The Good Eggs Compensation Philosophy:
We offer competitive compensation based on market rates, evaluated  bi-annually. Our final offer is based on years of experience, length of time with title, and demonstrated impact while in previous roles, combined with our compensation philosophy.

Good Eggs provides equal employment opportunities for team members and candidates regardless of race, color, religion, national origin, gender, sexual orientation, age, marital status, military status or disability in accordance with local, state and federal guidelines. We hire and promote individuals based on their qualifications for the position to be filled. We are committed to creating a diverse and inclusive workforce.

Good Eggs uses E-Verify to confirm the identity and employment eligibility of all new hires.