Staff Software Engineer - Notification Platform
General MotorsSalary 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
- Deep product, analytical, and technical expertise to design, launch, and scale high-velocity experimentation
- Ability to own the full lifecycle growth motion (activation, engagement, retention, monetization)
- Experience partnering closely with Engineering, Data Science, and Design teams
- Expertise in leveraging advanced AI/ML models for content, timing, and channel personalization
- Skills in audience segmentation, journey mapping, and minimizing notification fatigue
- Capability to develop robust attribution models and maintain performance dashboards
- Strong cross-functional leadership and collaboration skills
Responsibilities
- Own the Notifications Strategy: Develop and own the overarching messaging strategy, roadmap, and quarterly goals for all consumer and developer lifecycle communications
- Design and Optimize Lifecycle Programs: Design, launch, and optimize global lifecycle campaigns (Email, Push, In-App Messaging, SMS) to drive activation, engagement, and retention across all Gemini segments (e.g., consumer, developer, business)
- High-Velocity Experimentation: Develop and manage a rigorous testing roadmap, running continuous A/B and multivariate experiments to improve core growth metrics (open rates, click-through rates, paid conversion, DAU/WAU impact, and LTV)
- AI/ML for Personalization: Leverage AI-powered workflows and predictive models to personalize communication content, channel selection, frequency, and timing at massive scale, focusing on timeliness and relevance
- Audience Segmentation & Journey Mapping: Own and refine audience segmentation logic and personalized user journeys to maximize long-term user value and minimize notification fatigue
- Infrastructure Partnership: Collaborate closely with Product and Engineering teams to enhance the underlying messaging infrastructure (event triggers, experimentation tools, data pipelines) to enable sophisticated targeting and automation
- Measurement and Attribution: Partner with Data Science and Analytics to develop robust attribution models, measure the incremental impact of notification channels, and build and maintain dashboards for funnel performance and prioritization
- Cross-Functional Leadership: Serve as the primary driver for notifications, collaborating with design/creative teams to ensure compelling copy and visuals that reinforce the Gemini brand and with the broader organization to share key learnings
- Quality and User Experience: Focus on driving notification quality while maintaining a positive user experience
Skills
Product Management
Notifications
Growth Strategy
A/B Testing
Experimentation
Analytics
SQL
AI/ML
User Lifecycle
Funnel Optimization
Email Marketing
Push Notifications
In-App Messaging
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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