Lifecycle Growth Manager responsible for driving user acquisition, activation, conversion, retention and revenue across SpaceXSI products.
Compensation
The annual compensation range for this role is listed below.
Annual Salary:
$216,000 - $297,000 USD
Responsibilities
Own lifecycle end to end across our suite of products: Grok, Grok Build, Grok Bot, X and the API, from activation and conversion to paid through team expansion, retention and winback.
Use SQL and product data to size opportunities, build the audiences and triggers behind each program, and prove what actually drove revenue.
Architect multi-step, cross-channel programs across email, push and in-app, with event-based triggers, branching and suppression logic, and personalization drawn from product usage, plan and billing state, and company and role enrichment.
Drive and continuously improve the data model lifecycle runs on, including identity, events, attributes and eligibility, and partner with engineering on the warehouse syncs, APIs and webhooks that keep it accurate in real time.
Run every program as an experiment with a proper holdout, measure incremental lift, and make judgment calls when a result is inconclusive.
The Data Management Intern will support critical initiatives in defense data handling and analysis, managing DoD test data and digitizing historical archives.
Responsibilities
Assist in the ingestion, organization, and processing of DoD test data from various mission sources, ensuring accurate and timely delivery to weapon system analysts for evaluation and decision-making.
Support the digitization of a national archive, including scanning, cataloging, and metadata tagging of historical documents to enhance accessibility and preservation.
Contribute to data management tasks related to elite missile defense systems, such as data validation, quality assurance, and integration into analytical workflows.
Collaborate with cross-functional teams to develop and implement data protocols that comply with DoD security standards and regulations.
Perform routine data audits, generate reports on data integrity, and identify opportunities for process improvements.
Requirements
Current enrollment in an undergraduate or graduate program in Data Science, Information Technology, Computer Science, Engineering, or a related field
Nice to have: DoD data standards
Nice to have: NIST compliance
Nice to have: Mission test data protocols
Nice to have: Defense, aerospace, or government sector experience
Skills
Senior Manager, Research
Philip Morris International U.S. · Posted Nov 9, 2026
The AI Embedded Business Automation Engineer will work within functional departments across the organization to uncover opportunities where AI, automation, and better system design can meaningfully improve business operations.
Responsibilities
Uncover opportunities where AI, automation, and better system design can meaningfully improve business operations.
Work directly with business teams to understand how work happens today, pinpoint manual handoffs, rework, delays, and exception-heavy processes.
Design, prototype, and deliver technical solutions that make day-to-day work faster, smarter, and more scalable.
Translate complex business needs, strategic objectives, and operational challenges into actionable technical requirements, architectural designs, and scalable AI and data solutions.
Translate sophisticated technical concepts, architectural decisions, and solution limitations into clear, concise, business-oriented recommendations.
The Senior Analyst delivers on delegated tasks involving analyses supporting product direction, advertising, pricing, budgets, profit and future development plans. Identifies opportunities to maximize product/brand exposure and sales.
Responsibilities
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Documents and maintains program workflows, pathways, Business tools, CPT codes, and criteria.
Prepares training and direction for interdepartmental staff interacting with the program.
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Responsibilities
Delivering data warehouse and analytic solutions by writing ETL packages
Developing visualizations
Performing data and statistical analyses
Administering systems to deliver information to the health system
Serves as a functional and content expert of pipelines to synthesize raw data into actionable information
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