Senior Product Manager

Lead the full user funnel from signup to engagement.

Design experiences that cater to user needs.

Lead the design of AI-ready data architecture.

Mentor engineers and improve data platform standards.

Lead product development for athlete monitoring.

Define and align product strategy with company goals.

Enhance developer productivity using AI.

Optimize CI/CD pipelines for efficiency.

Execute a global payments strategy aligned with business objectives.

Manage and optimize end-to-end payment operations.

Develop systems for revenue growth.

Enhance revenue predictability through data insights.

Develop and execute a global payments strategy.

Manage end-to-end payment operations.

Design and deploy AI marketing solutions.

Lead technical implementations for clients.

Evaluate AI-generated sales workflows.

Improve sales processes using AI.

Develop AI agents for customer support.

Translate CX needs into AI solutions.

Own and manage global teacher and buyer personas.

Develop omnichannel campaigns for customer retention.

Manage initiatives to improve CX.

Ensure operational readiness for product squads.

Shape product development and service strategy.

Lead and ensure successful product launches.

Lead operations to enhance customer experience.

Drive performance improvements through data analysis.

Drive growth in federal accounts.

Manage full sales cycle effectively.

Provide overall solution strategy, architecture, and development for BI/Analytics offerings;

all phases of BI/Analytics for client projects; Participate in prospect discovery; Drive strategic

Hire a remote Director of Engineering (Data)

Lead and manage data engineering teams

Lead data and analytics initiatives

Support company decision making with data

Develop innovative technical solutions for businesses

Accelerate innovation and drive value

Design and maintain scalable data pipelines

Ensure high data quality and governance

Provide strategic guidance and oversight for data and ML initiatives.

Advise on identity resolution and attribution modeling techniques.

Architect and run AI-powered self-service analytics platforms

Prototype analytics capabilities for external partners

Architect, build, and maintain data models, pipelines, and infrastructure

Own end-to-end analytics engineering; report to the CTO

Define and own the strategy and roadmap for the Ads Data Store

Lead architectural evolution with Engineering for scalable data foundations

Define and lead data engineering vision and roadmap

Oversee secure data sharing through data pipelines

Lead strategic planning and execution of marketing initiatives

Drive revenue growth through measurable analytics

Streamline engineering processes

Oversee global software engineering groups

Lead strategy, design, and modernization of enterprise data landscape.

Architect Data Lake and Data Warehouse across multi-cloud platforms.

Influencing strategic direction for enterprise customers

Leading engaging demonstrations and engagements

Lead the design of AI-ready data architecture.

Mentor engineers and improve data platform standards.

Design and develop data platform features.

Build distributed data pipelines in Go.

Develop a long-term data strategy.

Build a scalable data engine for marketplace.

Develop product strategy for data solutions.

Transform manual reporting to self-serve products.

Own territory and build pipeline.

Conduct deep discovery using MEDDPICC.

Lead end-to-end data architecture implementation.

Enhance data modeling and performance optimization.

Design and implement enterprise data architectures.

Lead data modeling and governance initiatives.

Own analytics across the product suite.

Identify trends and anomalies in product metrics.

Lead the omnichannel analytics strategy.

Measure and analyze digital marketing performance.

Manage Data Platform, Governance, and Architecture teams.

Drive development and evolution of data systems.

Lead data onboarding for client implementations.

Document and streamline onboarding processes.

Build and scale the data platform.

Design and develop data pipelines.

Own the Salesforce platform roadmap.

Align multiple departments with a unified Salesforce stack.

Drive AI compliance and governance strategy.

Manage AI training data controls for privacy and performance.

Design and maintain marketing analytics data models.

Collaborate with cross-functional teams to define data needs.

Manage external operations vendors.

Lead employee communications.

Drive AI programs across internal and customer domains.

Partner with AI Engineering for scalable programs.

Lead the design of AI-ready data architecture.

Mentor engineers and improve data platform standards.

Design systems for product telemetry and analytics.

Ensure data reliability and scalability.

Optimize the revenue tech stack.

Lead CRM workflow design and integrations.

Define and ship integrations for external knowledge sources.

Collaborate with teams to enhance data retrieval and indexing.