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Automotive • Cloud • Greentech • Information Technology • Other • Software • Cybersecurity
The Performance Manager builds client relationships, ensures revenue retention, identifies upselling opportunities, and improves product utilization to meet client goals.
Top Skills:
Microsoft SuiteRelevant Software SystemsScreen Share Technologies
Automotive • Cloud • Greentech • Information Technology • Other • Software • Cybersecurity
The Performance Manager builds client relationships, ensures product utilization, manages accounts, and identifies opportunities for upselling and turnover strategies to drive revenue.
Top Skills:
Microsoft Suite Of TechnologiesScreen Share TechnologiesSoftware Systems
Automotive • Cloud • Greentech • Information Technology • Other • Software • Cybersecurity
The Performance Manager builds and maintains client relationships, ensures client satisfaction through product utilization, and drives revenue retention and growth by collaborating with clients and internal teams.
Top Skills:
Microsoft SuiteRelevant Software SystemsScreen Share Technologies
Looking to gain practical, hands-on experience in the field of AI/ML? The Wealth.com Technology Internship Program helps passionate early career professionals gain real-world exposure to applying the latest advancements in Large Language Models (LLM), Computer Vision (CV) and Natural Language Processing (NLP) in the legal & financial tech sector.
Applied Scientist Interns work collaboratively with Software Engineers and other Applied Scientists to pursue a broad range of AI initiatives. By using a combination of various state-of-the-art natural language and vision models, interns will help build complex legal AI assistants.
The Applied Scientist Intern will:
- Work with complex datasets from various sources to build Extract, Transform, and Load (ETL) data pipelines for downstream tasks
- Finetune and integrate the latest Large Language Models (LLMs) such as OpenAI/Gemini/MistralAI models into production systems.
- Train, finetune and deploy large-scale NLP and CV models to power complex document understanding experiences.
- Design and implement scalable and efficient Q&A RAG frameworks
- Collaborate with other product managers and engineers in the team to build tools to evaluate and improve the end-to-end AI quality of our production systems.
- Effectively communicating and demonstrating work to stakeholders
Basic Qualifications:
- Currently pursuing a Bachelor's, Master’s OR PhD degree in Computer Science, Electrical or Computer Engineering, or related field (e.g., statistics, predictive analytics, research)
- Experience building sophisticated RAG pipelines with LLMs
- OR Experience with common machine learning, deep learning frameworks like PyTorch/TensorFlow
- OR Experience developing and deploying complex AI/ML models to production
Preferred Qualifications:
- Currently pursuing a Master’s OR PhD degree in Computer Science, Electrical or Computer Engineering, or related field (e.g., statistics, predictive analytics, research) AND 1+ years related experience (e.g., statistics, predictive analytics, research)
- 1+ year(s) experience productionizing complex AI/ML models
- 1+ year(s) experience creating publications (e.g., patents, peer-reviewed academic papers).
- 1+ year(s) experience conducting research as part of a research program (in academic or industry settings).
Please note that the U.S. Immigration sponsorship or work visa is not available for this position and candidates must have permanent authorization to work in the U.S.
What you need to know about the Seattle Tech Scene
Home to tech titans like Microsoft and Amazon, Seattle punches far above its weight in innovation. But its surrounding mountains, sprinkled with world-famous hiking trails and climbing routes, make the city a destination for outdoorsy types as well. Established as a logging town before shifting to shipbuilding and logistics, the Emerald City is now known for its contributions to aerospace, software, biotech and cloud computing. And its status as a thriving tech ecosystem is attracting out-of-town companies looking to establish new tech and engineering hubs.
Key Facts About Seattle Tech
- Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Amazon, Microsoft, Meta, Google
- Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
- Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Madrona, Fuse, Tola, Maveron
- Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute
