Product Manager - Ghostwriter

Embed with partner teams to understand workflows.

Design and deploy AI agents for internal processes.

Understand partner workflows and requirements.

Design and deploy scalable agents for internal use.

Drive sales opportunities from prospecting to closure.

Build and maintain strong client relationships.

Define and ship integrations for external knowledge sources.

Collaborate with teams to enhance data retrieval and indexing.

Develop a multi-year growth strategy for user onboarding.

Manage end-to-end onboarding process from download to first ride.

Design security-critical agents for network defense.

Leverage AI for security issue resolution.

Develop a strategic territory plan for NYC banking institutions.

Deliver demos and proposals that articulate business value.

Build and maintain Power BI dashboards.

Write and optimize SQL in Databricks or Synapse.

Define and execute AI product strategy.

Prioritize AI use cases across IT functions.

Lead the GTM architecture across key platforms.

Standardize data flows and integrations.

Enhance ClickHouse's Python connector and SDK.

Integrate with orchestration tools to enterprise standards.

Design intelligent lead scoring systems.

Develop Salesforce integrations using Apex and LWC.

Design intelligent lead scoring systems.

Develop Salesforce integrations to streamline workflows.

Build AI agents for marketing workflows.

Automate multi-step processes using AI.

Lead the Security Product Prototype team.

Conduct rapid prototyping to validate security concepts.

Design and optimize Starshield AI integrations.

Develop software for government use.

Promote awareness of information security practices.

Ensure compliance with data privacy standards.

Lead and grow a team of Forward Deployed Engineers.

Oversee active delivery and manage architecture guidance.

Serve as a technical partner to sales teams.

Conduct architecture reviews and proofs of concepts.

Lead a team of Customer Success Engineers.

Manage 24x7 support operations and escalations.

Define and launch AI/ML experiences for merchants.

Collaborate with cross-functional teams to enhance AI/UX.

Drive architecture across OS client stack.

Optimize performance on embedded hardware.

Define the vision and roadmap for the Agent Platform.

Build a unified platform for various AI functionalities.

Design and implement AI features.

Optimize AI workflows using JSX prompting framework.

Architect next-gen search systems.

Modernize query understanding with LLMs.

Conduct research using programming and data science.

Identify trends in equity markets.

Design and maintain analytical data pipelines.

Develop internal tools and APIs for data insights.

Develop a new open-source developer experience tool.

Enhance traditional Linux workflows.

Become a product expert defining functionality and value.

Act as the customer voice to the scrum team.

Scale an AI-native product suite.

Design effective data-to-AI workflows.

Lead external pre-clinical model validation.

Define and manage experimental strategies and budgets.

Enhance AI chatbots using real data.

Clean and organize text data for model improvement.

Hiring for a Senior Developer Advocate role focused on Android.

Offering a fully remote position across Americas and EMEA.

Own post-sales engagements and provide technical guidance.

Lead resolution of complex customer issues.

Lead a team focused on applied AI systems.

Design and build automation systems.

Own and develop TypeScript and Rust SDKs.

Build developer tooling including dashboards and CLI.

Own and maintain TypeScript SDK.

Facilitate Rust SDK interoperability.

Design realistic evaluation scenarios for AI agents.

Create test cases simulating human tasks.

Design structured test scenarios for AI agents.

Define acceptable behaviors and scoring logic for agents.

Design evaluation scenarios for AI agents.

Create test cases simulating human tasks.

Define and evolve the UX vision for AI experiences.

Lead AI initiatives from concept to launch.

Lead the design and development of ML-driven search systems.

Build end-to-end retrieval pipelines with query understanding.

To find reviewers for AI reasoning datasets.

To ensure accuracy in AI-generated responses.

Design evaluation scenarios for AI agents.

Create test cases simulating human tasks.

Research and prototype AI/ML techniques for specific use cases.

Quantify business value related to AI implementations.

Lead design and development of NLU solutions.

Leverage LLMs for text and reasoning tasks.

Design and build LLM-based solutions for adaptive listening.

Create prompt-driven playlist experiences for music fulfillment.

Architect production ML/AI workloads on Databricks.

Serve as a GenAI expert for advanced systems.

Architect ML/AI workloads on Databricks.

Lead Generative AI projects including RAG and agentic systems.

Drive product innovation and integration with Microsoft Intune

Align RMM product strategy with MSP needs