Growth Strategy Manager
HumanaSalary not specified
Not SpecifiedCompensation
Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Artificial Intelligence, TechnologyIndustries
Requirements
- Experience operating at the intersection of product, growth marketing, and data science
- Ability to define and execute global product strategy for user acquisition, onboarding, and conversion
- Expertise in building scalable, AI-native acquisition tooling and automation/optimization algorithms for creative operations, bidding, and campaign management
- Proficiency in managing complex funnel optimizations across external traffic sources (e.g., paid media, SEO, search, social) and in-product activation journeys
- Skills in deep cohort and LTV analysis, advanced measurement, attribution models, and data architecture for metrics like CAC, LTV, and retention
- Capability to champion rigorous A/B testing frameworks, hypothesis definition, measurement plans, and scalable playbooks
- Experience integrating with Finance and Business Intelligence for forecasting, budgeting, investment pacing, and balancing growth vs. efficiency
- Ability to collaborate with Design and Marketing on AI-first creative systems using generative AI for ad assets and messaging
- Proficiency in leveraging market data, competitive intelligence, and user research to identify and validate new audience segments and regional opportunities
Responsibilities
- Define and Own the Acquisition Product Strategy: Establish the vision, roadmaps, and OKRs for the top-of-funnel platform, ensuring alignment with Gemini’s overall user growth and monetization objectives
- Lead AI-Native Acquisition Tooling: Partner with Engineering and Data Science to design, build, and continually refine automation and optimization algorithms for creative operations, bidding, and campaign management across all performance marketing channels
- Oversee Full-Funnel Optimization: Be accountable for the end-to-end acquisition experience, from external traffic sources (search, social) through in-product sign-up and initial activation flows, maximizing conversion efficiency
- Establish Advanced Measurement and Attribution: Develop and refine the data architecture and attribution models necessary to accurately measure the impact of product changes and marketing investments on key metrics like CAC, LTV, and retention
- Drive a Culture of Rapid Experimentation: Champion a rigorous A/B testing framework—defining clear hypotheses, establishing measurement plans, and translating conversion insights into scalable, documented playbooks
- Manage Financial Strategy and Tradeoffs: Integrate closely with Finance and Business Intelligence to provide acquisition inputs for forecasting, budgeting, investment pacing, and balancing growth targets against efficiency and payback goals
- Develop AI-First Creative Systems: Collaborate with Design and Marketing to build fast, scalable creative prototyping systems that leverage generative AI to rapidly test and iterate on high-performing ad assets and messaging
- Identify and Validate Whitespace Growth: Systematically leverage market data, competitive intelligence, and user research to identify new audience segments and regional opportunities, leading the product effort to expand coverage and localization
Skills
Product Management
Growth Marketing
Funnel Optimization
A/B Testing
SEO
Paid Media
Data Science
User Acquisition
Onboarding
Activation
Experimentation
AI Products
DeepMind
Develops artificial general intelligence systems
About DeepMind
This company leads in the field of artificial general intelligence (AGI), with notable applications across healthcare, energy management, and biotechnology. Their work in early diagnostic tools for eye diseases, optimizing energy usage in major data centers, and groundbreaking contributions to protein structure prediction underlines their commitment to harnessing AI for diverse practical applications. The company's dedication to pushing the boundaries of AI technology not only propels the industry forward but also creates a dynamic and impactful working environment for its employees.
London, United KingdomHeadquarters
2010Year Founded
$4.9MTotal Funding
ACQUISITIONCompany Stage
AI & Machine Learning, BiotechnologyIndustries
1,001-5,000Employees
Benefits
Performance Bonus
Risks
Emerging AI models may challenge DeepMind's current strategies.
Backlash against AI models like Gemini poses reputational risks.
Labeling AI-generated content could increase operational complexity for DeepMind.
Differentiation
DeepMind combines AI, ML, and neuroscience for general-purpose learning algorithms.
DeepMind's AlphaFold model advances protein folding research significantly.
GraphCast by DeepMind offers rapid, accurate ten-day weather forecasts.
Upsides
AI-driven drug discovery is set to grow significantly in 2024.
AlphaCode 2 showcases AI's potential in competitive programming.
DeepMind's AI tools are transforming music creation and meteorology.
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