The Role:

Content Analyst will work with our Content team to expand AlphaSense’s content offering and support the needs of our clients. You will work together with a team of: product managers, content analysts, software engineers, and content vendors. Tasks will include: identifying and onboarding new content, configuring automatic content ingestion processes, and monitoring content quality. Content sets include public company presentations, news, regulatory, trade journals, publications, and other content available via the web.

The ideal candidate will have: strong written and verbal communication skills; prior content onboarding and support experience; solid analytical skills; web research; and troubleshooting skills.

Roles and Responsibilities :

• Research & Analysis: Discover new sources of content available on the web to augment our content offering, and additionally evaluate web sources to be onboarded. Strategize and assist in creating frameworks of operation to optimally achieve project goals.
• Content Onboarding & Maintenance: Review content processing alerts. Verify and upload company presentations and other content from company, regulatory, and other websites. Configure new web scraping jobs via an admin interface. Maintain existing scraping jobs, adjusting configuration as needed to ensure quality content ingestion. Define requirements for quality reports and execute quality reports.
• Troubleshooting Content Issues : Bring new ideas and concepts forward to develop innovative and effective ways of troubleshooting content issues.
• Content Support: As a subject matter expert, you will be responsible for 3rd level support, addressing content-related inquiries. Escalate to internal teams and externally to content providers when necessary, raise tickets, and track issues. Coordinate with engineering teams, product managers, and content providers regularly. 
• Coordinate with content providers : Proactively follow up with content providers and internal teams in order to resolve issues in a timely manner. Keep the stakeholders/requestors up to date on their reported issues.
• Content Flow Monitoring & Reporting : Track processing state, generate content usage reports, and maintain logs of content requests (e.g., via Productboard or similar tools).
• Documentation : Create, update, and document content onboarding processes.
• Quality Assurance and Quality Control: review documents for property categorization and tagging across our processing pipeline of content.

Candidate Requirements:

• Outstanding oral and written communication skills
• 0-4 years of data entry and/or data maintenance experience.
• A high aptitude and willingness to learn. Because of our diverse base of clients, much of the technical knowledge required to succeed will be learned on the job
• Knowledge of MS Office, Google Suite, Linear, Notion, Creation of SOPs
• Ability to distill and explain complex issues in simple terms
• Energetic and creative individual, possessing natural curiosity with the ability to learn quickly and adapt
• Effective time management and task prioritization when under pressure
• Ability and interest to work independently.
• Must be able to work a late shift to support the U.S. revenue team.
• Bachelor’s Degree. 
• Experience with financial information / data and analyst workflows

Optional/Strong Plus Qualifications:

• Experience managing content aggregation processes 
• Experience processing documents published by companies (presentations, filings, press releases, transcripts)
• Experience configuring web crawl jobs (structured or unstructured data sets)

About the Team

Integrations at AlphaSense is at the forefront of innovation in Enterprise Intelligence, with a commitment to providing our users with the tools to capture crucial insights seamlessly, transform these insights into actionable intelligence, and make informed decisions that drive meaningful outcomes.

Integrations provide a diverse range of connectors, enabling our clients to seamlessly ingest their enterprise data into AlphaSense. This data is then enhanced by AlphaSense Intelligence, empowering financial institutions and corporations to make precise decisions.

The integration team is operating as a “Startup Within A Startup”.

The Role

We seek an innovative, passionate and motivated Senior Software Engineer to help create the next big thing in Enterprise Knowledge Platform solutions for User Financial Data. You will join our team of world-class experts developing the Alphasense platform. The team is right at the core of what we do and responsible for implementing cutting-edge technology for building scalable, secure & reliable enterprise solutions.You will focus on solving larger technical challenges while leading the effort to design, build, and configure applications and act as the primary point of contact. 

This role is ideal for someone who thrives in a fast-paced environment and enjoys solving high-impact problems.

Who You Are

• A skilled software professional with no less than 4 years of experience in backend development.

• A strong communicator with the ability to distil complex technical concepts for diverse audiences.

• A problem-solver with a proactive and customer-first mindset.

• Adaptable and eager to continuously learn and improve.

• Enjoy being part of an entrepreneurial team and work diligently to help others when needed.

What You’ll Do

• Write high-quality, performant, industry-standard code.

• Develop and maintain product expertise and technical mastery while contributing to the team.

• Work with a globally distributed and cross-functional team

• Stay abreast of and implement the latest engineering processes, DevOps practices, and trends.

• Mentor Software Engineers to improve their skills and reduce development iterations.

• Clarify requirements and develop effective solutions.

• Drive technical maturity and organizational growth through continuous learning and the application of new technologies and practices.

Must Have

• Programming Languages:  Proficiency in Java or Python, or both.

• Cloud Service Providers: Working understanding of any of the cloud service providers (preferably AWS).

• Database Systems: Working knowledge of SQL and NoSQL databases.

• Microservice Architecture:  Experience in designing stateless and stateful microservices.

• Problem-Solving and Analytical Skills:  Ability to dissect complex problems into manageable components and arrive at effective solutions.

• Communication and Collaboration:  Capacity to articulate ideas clearly and incorporate feedback rapidly.

• Data Integration Expertise: Hands on experience in building and maintaining large scale data integration systems. Expertise in setting up MCP’s for data integration.

• Data Processing: Experience with asynchronous data processing.

Good To Have:

• Hands-on experience with Docker and Kubernetes.

• Experience with GenAI tooling for productively achieving day-to-day tasks.

• Experience with Helm charts and ArgoCD.

• Experience with unit testing frameworks.

About the Team

Integrations at AlphaSense is at the forefront of innovation in Enterprise Intelligence, with a commitment to providing our users with the tools to capture crucial insights seamlessly, transform these insights into actionable intelligence, and make informed decisions that drive meaningful outcomes.

Integrations provide a diverse range of connectors, enabling our clients to seamlessly ingest their enterprise data into AlphaSense. This data is then enhanced by AlphaSense Intelligence, empowering financial institutions and corporations to make precise decisions.

The integration team is operating as a “Startup Within A Startup”.

The Role

We seek an innovative, passionate and motivated Senior Software Engineer to help create the next big thing in Enterprise Knowledge Platform solutions for User Financial Data. You will join our team of world-class experts developing the Alphasense platform. The team is right at the core of what we do and responsible for implementing cutting-edge technology for building scalable, secure & reliable enterprise solutions.You will focus on solving larger technical challenges while leading the effort to design, build, and configure applications and act as the primary point of contact. 

This role is ideal for someone who thrives in a fast-paced environment and enjoys solving high-impact problems.

Who You Are

• A skilled software professional with no less than 4 years of experience in backend development.

• A strong communicator with the ability to distil complex technical concepts for diverse audiences.

• A problem-solver with a proactive and customer-first mindset.

• Adaptable and eager to continuously learn and improve.

• Enjoy being part of an entrepreneurial team and work diligently to help others when needed.

What You’ll Do

• Write high-quality, performant, industry-standard code.

• Develop and maintain product expertise and technical mastery while contributing to the team.

• Work with a globally distributed and cross-functional team

• Stay abreast of and implement the latest engineering processes, DevOps practices, and trends.

• Mentor Software Engineers to improve their skills and reduce development iterations.

• Clarify requirements and develop effective solutions.

• Drive technical maturity and organizational growth through continuous learning and the application of new technologies and practices.

Must Have

• Programming Languages:  Proficiency in Java or Python, or both.

• Cloud Service Providers: Working understanding of any of the cloud service providers (preferably AWS).

• Database Systems: Working knowledge of SQL and NoSQL databases.

• Microservice Architecture:  Experience in designing stateless and stateful microservices.

• Problem-Solving and Analytical Skills:  Ability to dissect complex problems into manageable components and arrive at effective solutions.

• Communication and Collaboration:  Capacity to articulate ideas clearly and incorporate feedback rapidly.

• Data Integration Expertise: Hands on experience in building and maintaining large scale data integration systems. Expertise in setting up MCP’s for data integration.

• Data Processing: Experience with asynchronous data processing.

Good To Have:

• Hands-on experience with Docker and Kubernetes.

• Experience with GenAI tooling for productively achieving day-to-day tasks.

• Experience with Helm charts and ArgoCD.

• Experience with unit testing frameworks.

About the Team

Integrations at AlphaSense is at the forefront of innovation in Enterprise Intelligence, with a commitment to providing our users with the tools to capture crucial insights seamlessly, transform these insights into actionable intelligence, and make informed decisions that drive meaningful outcomes.

Integrations provide a diverse range of connectors, enabling our clients to seamlessly ingest their enterprise data into AlphaSense. This data is then enhanced by AlphaSense Intelligence, empowering financial institutions and corporations to make precise decisions.

The integration team is operating as a “Startup Within A Startup”.

The Role

We seek an innovative, passionate and motivated Senior Software Engineer to help create the next big thing in Enterprise Knowledge Platform solutions for User Financial Data. You will join our team of world-class experts developing the Alphasense platform. The team is right at the core of what we do and responsible for implementing cutting-edge technology for building scalable, secure & reliable enterprise solutions.You will focus on solving larger technical challenges while leading the effort to design, build, and configure applications and act as the primary point of contact. 

This role is ideal for someone who thrives in a fast-paced environment and enjoys solving high-impact problems.

Who You Are

• A skilled software professional with no less than 4 years of experience in backend development.

• A strong communicator with the ability to distil complex technical concepts for diverse audiences.

• A problem-solver with a proactive and customer-first mindset.

• Adaptable and eager to continuously learn and improve.

• Enjoy being part of an entrepreneurial team and work diligently to help others when needed.

What You’ll Do

• Write high-quality, performant, industry-standard code.

• Develop and maintain product expertise and technical mastery while contributing to the team.

• Work with a globally distributed and cross-functional team

• Stay abreast of and implement the latest engineering processes, DevOps practices, and trends.

• Mentor Software Engineers to improve their skills and reduce development iterations.

• Clarify requirements and develop effective solutions.

• Drive technical maturity and organizational growth through continuous learning and the application of new technologies and practices.

Must Have

• Programming Languages:  Proficiency in Java or Python, or both.

• Cloud Service Providers: Working understanding of any of the cloud service providers (preferably AWS).

• Database Systems: Working knowledge of SQL and NoSQL databases.

• Microservice Architecture:  Experience in designing stateless and stateful microservices.

• Problem-Solving and Analytical Skills:  Ability to dissect complex problems into manageable components and arrive at effective solutions.

• Communication and Collaboration:  Capacity to articulate ideas clearly and incorporate feedback rapidly.

• Data Integration Expertise: Hands on experience in building and maintaining large scale data integration systems. Expertise in setting up MCP’s for data integration.

• Data Processing: Experience with asynchronous data processing.

Good To Have:

• Hands-on experience with Docker and Kubernetes.

• Experience with GenAI tooling for productively achieving day-to-day tasks.

• Experience with Helm charts and ArgoCD.

• Experience with unit testing frameworks.

About the Role:

Seeking a passionate Senior Engineer to join our Content Engineering team. This team specializes in large-scale content processing using cutting-edge technologies. In this role, you'll leverage AI applications (NLP, LLM) for document understanding, including, but not limited to, document classification, text categorization, data extraction, and semantic similarity.

Requirements:
      Must have 

• 6+ years of experience as a software engineer, primarily with Python
• Ideally, you possess an advanced degree (Bachelor's / Master's)  in Computer Science, Computer Engineering, or a relevant field with a focus on Artificial Intelligence, machine learning, but equivalent industry experience may be considered
• 2+ years of hands-on experience building and deploying applications that use Large Language Models (LLMs). 
• Experience in extracting structured JSON from text using LLMs and a deep understanding of Prompt Engineering.
• Proficiency in classic NLP libraries for tasks like NER, text classification, and pre-processing.
• Experience with LLM tracing, debugging and evaluation platforms such as Langfuse.
• Excellent communication, organizational, problem-solving, debugging, and analytical skills.

        Great to have 

• Experience in async processing of data at scale
• Using frameworks like LangChain, HuggingFace, and backend web frameworks like FastAPI.
• Expertise on core engineering skills - Cloud, microservice architecture, caching, and queuing.
• Familiarity with concepts/tools as Docker, k8s, VCS, CI/CD
• Previous experience in data extraction from specific domains (e.g., financial reports, news).
  
  

Responsibilities:

• Deploy LLM based production grade solutions.
• Fine-tune and adapt State of the art LLMs for specialized data extraction tasks. Develop innovative prompt engineering strategy and systems to maximize reliability and performance on confidential business documents.
• Solve Engineering challenges that come along with LLM solutions, such as high latency, non-deterministic output, etc.
• Implement and scale data processing pipelines that can process high volumes of complex documents with high accuracy and efficiency.
• Integrate and manage LLM Observability to trace, debug, and monitor every extraction
• Own systems end-to-end, including(but not limited to) designing, coding, monitoring, testing, CI/CD and on-call support.

About the Role:

Seeking a passionate Senior Engineer to join our Content Engineering team. This team specializes in large-scale content processing using cutting-edge technologies. In this role, you'll leverage AI applications (NLP, LLM) for document understanding, including, but not limited to, document classification, text categorization, data extraction, and semantic similarity.

Requirements:
      Must have 

• 6+ years of experience as a software engineer, primarily with Python
• Ideally, you possess an advanced degree (Bachelor's / Master's)  in Computer Science, Computer Engineering, or a relevant field with a focus on Artificial Intelligence, machine learning, but equivalent industry experience may be considered
• 2+ years of hands-on experience building and deploying applications that use Large Language Models (LLMs). 
• Experience in extracting structured JSON from text using LLMs and a deep understanding of Prompt Engineering.
• Proficiency in classic NLP libraries for tasks like NER, text classification, and pre-processing.
• Experience with LLM tracing, debugging and evaluation platforms such as Langfuse.
• Excellent communication, organizational, problem-solving, debugging, and analytical skills.

        Great to have 

• Experience in async processing of data at scale
• Using frameworks like LangChain, HuggingFace, and backend web frameworks like FastAPI.
• Expertise on core engineering skills - Cloud, microservice architecture, caching, and queuing.
• Familiarity with concepts/tools as Docker, k8s, VCS, CI/CD
• Previous experience in data extraction from specific domains (e.g., financial reports, news).
  
  

Responsibilities:

• Deploy LLM based production grade solutions.
• Fine-tune and adapt State of the art LLMs for specialized data extraction tasks. Develop innovative prompt engineering strategy and systems to maximize reliability and performance on confidential business documents.
• Solve Engineering challenges that come along with LLM solutions, such as high latency, non-deterministic output, etc.
• Implement and scale data processing pipelines that can process high volumes of complex documents with high accuracy and efficiency.
• Integrate and manage LLM Observability to trace, debug, and monitor every extraction
• Own systems end-to-end, including(but not limited to) designing, coding, monitoring, testing, CI/CD and on-call support.

About the Role:

Seeking a passionate Senior Engineer to join our Content Engineering team. This team specializes in large-scale content processing using cutting-edge technologies. In this role, you'll leverage AI applications (NLP, LLM) for document understanding, including, but not limited to, document classification, text categorization, data extraction, and semantic similarity.

Requirements:
      Must have 

• 6+ years of experience as a software engineer, primarily with Python
• Ideally, you possess an advanced degree (Bachelor's / Master's)  in Computer Science, Computer Engineering, or a relevant field with a focus on Artificial Intelligence, machine learning, but equivalent industry experience may be considered
• 2+ years of hands-on experience building and deploying applications that use Large Language Models (LLMs). 
• Experience in extracting structured JSON from text using LLMs and a deep understanding of Prompt Engineering.
• Proficiency in classic NLP libraries for tasks like NER, text classification, and pre-processing.
• Experience with LLM tracing, debugging and evaluation platforms such as Langfuse.
• Excellent communication, organizational, problem-solving, debugging, and analytical skills.

        Great to have 

• Experience in async processing of data at scale
• Using frameworks like LangChain, HuggingFace, and backend web frameworks like FastAPI.
• Expertise on core engineering skills - Cloud, microservice architecture, caching, and queuing.
• Familiarity with concepts/tools as Docker, k8s, VCS, CI/CD
• Previous experience in data extraction from specific domains (e.g., financial reports, news).
  
  

Responsibilities:

• Deploy LLM based production grade solutions.
• Fine-tune and adapt State of the art LLMs for specialized data extraction tasks. Develop innovative prompt engineering strategy and systems to maximize reliability and performance on confidential business documents.
• Solve Engineering challenges that come along with LLM solutions, such as high latency, non-deterministic output, etc.
• Implement and scale data processing pipelines that can process high volumes of complex documents with high accuracy and efficiency.
• Integrate and manage LLM Observability to trace, debug, and monitor every extraction
• Own systems end-to-end, including(but not limited to) designing, coding, monitoring, testing, CI/CD and on-call support.