Overview
On Site
$45.00 - $55.62 hourly
Contract - W2
Contract - Temp
Skills
Go-To-Market Strategy
FOCUS
Product Optimization
Marketing
Collaboration
Data Science
Analytics
Machine Learning (ML)
Artificial Intelligence
Messaging
Job Details
RESPONSIBILITIES:
A client with Kforce is seeking a Growth Manager and Value Leader to join their team onsite in Mountain View CA.
Responsibilities:
* Translate journey insights into targeted cross-sell opportunities that would be delivered in partnership w/ Product, Commercialization, GTM and other key partners
* Define technical requirements for personalization initiatives & experiments to guide users through a value ladder, increasing their engagement and utilization of relevant ecosystem features
* Partner closely with Data Science, Engineering, Commercialization, Go-To-Market, Analytics, and Product teams to build and scale these growth levers
* Increased Cross-Sell Conversion Rates: Drive measurable improvements in the rate at which users adopt certain offerings and vice-versa
* Optimized Customer Pathways: Develop and refine in-product pathways that effectively move customers towards higher-value actions and deeper ecosystem engagement
* Improved Funnel Metrics: Show clear improvements in activation, engagement, and conversion rates at critical points in the ecosystem journey
REQUIREMENTS:
* Experienced Growth Professional (Technical Focus): Typically 5+ years in a role focused on driving growth through data-driven experimentation and technical initiatives (e.g., leading growth experimentation programs, technical growth marketing, or a similar role focused on in-product optimization and personalization) within a consumer tech or FinTech company
* Technical Aptitude & Systems Thinking: Strong understanding of how digital products, data systems, and marketing technology work together to deliver personalized experiences; Ability to effectively collaborate with engineering and data science teams to define requirements and implement solutions
* Cross-Sell & Personalization Experience with Experimentation and Data Science Expertise: Demonstrated success in developing and implementing cross-sell strategies and personalized in-product experiences; Proven experience in designing and running A/B tests and other experiments, analyzing results, and iterating quickly; Proficiency with self-serving analytics and ML tools to decipher personalization experiment
The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.
We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.
Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.
This job is not eligible for bonuses, incentives or commissions.
Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.
By clicking ?Apply Today? you agree to receive calls, AI-generated calls, text messages or emails from Kforce and its affiliates, and service providers. Note that if you choose to communicate with Kforce via text messaging the frequency may vary, and message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You will always have the right to cease communicating via text by using key words such as STOP.
A client with Kforce is seeking a Growth Manager and Value Leader to join their team onsite in Mountain View CA.
Responsibilities:
* Translate journey insights into targeted cross-sell opportunities that would be delivered in partnership w/ Product, Commercialization, GTM and other key partners
* Define technical requirements for personalization initiatives & experiments to guide users through a value ladder, increasing their engagement and utilization of relevant ecosystem features
* Partner closely with Data Science, Engineering, Commercialization, Go-To-Market, Analytics, and Product teams to build and scale these growth levers
* Increased Cross-Sell Conversion Rates: Drive measurable improvements in the rate at which users adopt certain offerings and vice-versa
* Optimized Customer Pathways: Develop and refine in-product pathways that effectively move customers towards higher-value actions and deeper ecosystem engagement
* Improved Funnel Metrics: Show clear improvements in activation, engagement, and conversion rates at critical points in the ecosystem journey
REQUIREMENTS:
* Experienced Growth Professional (Technical Focus): Typically 5+ years in a role focused on driving growth through data-driven experimentation and technical initiatives (e.g., leading growth experimentation programs, technical growth marketing, or a similar role focused on in-product optimization and personalization) within a consumer tech or FinTech company
* Technical Aptitude & Systems Thinking: Strong understanding of how digital products, data systems, and marketing technology work together to deliver personalized experiences; Ability to effectively collaborate with engineering and data science teams to define requirements and implement solutions
* Cross-Sell & Personalization Experience with Experimentation and Data Science Expertise: Demonstrated success in developing and implementing cross-sell strategies and personalized in-product experiences; Proven experience in designing and running A/B tests and other experiments, analyzing results, and iterating quickly; Proficiency with self-serving analytics and ML tools to decipher personalization experiment
The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.
We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.
Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.
This job is not eligible for bonuses, incentives or commissions.
Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.
By clicking ?Apply Today? you agree to receive calls, AI-generated calls, text messages or emails from Kforce and its affiliates, and service providers. Note that if you choose to communicate with Kforce via text messaging the frequency may vary, and message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You will always have the right to cease communicating via text by using key words such as STOP.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.