Senior Product Manager, AI Workflows (Investment Banking)

Alphasense

SeniorContract$145,000 - $200,000Together, AlphaSenseai

The acquisition of Tegus by AlphaSense in 2024 advances our shared mission to empower professionals to make smarter decisions through AI-driven market intelligence. Together, AlphaSense and Tegus will accelerate growth, innovation, and content expansion, with complementary product and content capabilities that enable users to unearth even more comprehensive insights from thousands of content sets. Our platform is trusted by over 6,000 enterprise customers, including a majority of the S&P 500. Fo

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Skills in this role

Product management
AI fundamentals
Roadmapping

Courses relevant to this posting

Relevance is based on skills and concepts — not a guarantee that you qualify.

Building with Generative Models Beyond Text
Covered skills:Product managementAI fundamentalsRoadmapping
Skills to close:None listed

Build the skills for this job

Coming-soon courses matched to this posting — outline, waitlist, and skill path.

Course DNA for this role

Building with Generative Models Beyond Text

7 chapters · 34 lessons

1. Generative Model Architectures and Selection
5 lessons
Understand how different generative architectures work and when to use each type for specific output modalities.
2. Temporal Consistency and Video Generation
5 lessons
Build systems that generate coherent video and maintain identity, motion, and physical plausibility across frames.
3. Synthetic Data Pipelines for Training and Testing
5 lessons
Design and implement synthetic data generation workflows for ML training, simulation, and edge case coverage.
4. Fine-Tuning and Domain Adaptation
5 lessons
Adapt open-weight generative models to your domain, style, or constraints using fine-tuning and conditioning techniques.
5. Retrieval and Context Integration
4 lessons
Combine generative models with retrieval systems to ground outputs in approved knowledge and private data.
6. Production Deployment and Quality Control
5 lessons
Deploy generative models with appropriate latency, cost, safety, and feedback mechanisms for production use.
7. System Design for Generative Workflows
5 lessons
Architect end-to-end systems that integrate generative models into creative, product, and data pipelines.

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Skills in this role

Courses relevant to this posting

Build the skills for this job

Building with Generative Models Beyond Text

1. Generative Model Architectures and Selection

2. Temporal Consistency and Video Generation

3. Synthetic Data Pipelines for Training and Testing

4. Fine-Tuning and Domain Adaptation

5. Retrieval and Context Integration

6. Production Deployment and Quality Control

7. System Design for Generative Workflows

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