The job, in the employer's words
About AlphaSense:
AlphaSense is the AI platform redefining market intelligence and workflow orchestration, trusted by thousands of leading organizations to drive faster, more confident decisions in business and finance. The platform combines domain-specific AI with a vast content universe of over 500 million premium business documents — including equity research, earnings calls, expert interviews, filings, news, and internal proprietary content. Purpose-built for speed, accuracy, and enterprise-grade security, AlphaSense helps teams extract critical insights, uncover market-moving trends, and automate complex workflows with high-quality outputs. With AI solutions like Generative Search, Generative Grid, and Deep Research, AlphaSense delivers the clarity and depth professionals need to navigate complexity and obtain accurate, real-time information quickly. For more information, visit www.alpha-sense.com. Come join us.
Staff Software Engineer, Full Stack (Frontend Heavy) - Content Experience Team
About the Role
We are looking for a hands-on Full Stack (Frontend Heavy) Staff Software Engineer to join our team and lead efforts in building scalable, performant, and reliable software systems that power the AlphaSense platform. You will play a key role in shaping technical architecture, mentoring engineers, and driving engineering excellence across teams. This is a high-impact role for an experienced engineer who thrives on solving complex problems and delivering robust, customer-focused solutions.
Who You Are
- Bachelor's or Master's Degree in Computer Science or related discipline.
- Minimum 8 years of software development experience building scalable, high-performing, and robust applications.
- Strong proficiency in JavaScript with solid experience in full-stack development.
- Expertise in modern web frameworks such as React, TypeScript, and GraphQL.
- Identify and codify React performance best practices, architectural trade-offs, and code-level improvements in the existing codebase.
- Experience with at least one backend language/framework (e.g., Node.js, Java, Python)
- Strong computer science fundamentals (data structures, algorithms, multithreading, distributed systems).
- Experience with SQL/NoSQL databases (e.g., DynamoDB, MySQL, Redis, Elasticsearch, Solr/Vespa/Lucene).
- Cloud-native development experience with AWS or GCP.
- Skilled with containerization and orchestration tools (Kubernetes, Docker, Helm).
- Familiarity with observability tools and platforms (monitoring, logging, tracing).
- Experience with service reliability, on-call ownership, and incident triage for production systems.
- Demonstrated ability to lead technically within distributed, cross-functional teams.
- Hands-on experience using AI-assisted development tools (e.g., Claude Code, Copilot) as a core part of daily engineering workflow.
- Track record of driving AI adoption within engineering teams - establishing best practices, defining guardrails, evaluating tools, and measurably improving team velocity through AI-assisted workflows (a strong plus).
What You'll Do
- Design and build high-quality, performant, and scalable software systems across backend and frontend.
- Own the technical architecture and reliability of backend services alongside frontend microapps.
- Lead technical design discussions, clarify requirements, and deliver effective and maintainable solutions.
- Take ownership of full-stack development projects, from backend APIs (Python/Java) to front-end integration.
- Serve as architectural glue across multiple domains.
- Apply best practices in DevOps, CI/CD, and cloud-native engineering to improve delivery efficiency.
- Mentor and coach engineers, raising the technical bar across the team.
- Collaborate with globally distributed teams and cross-functional stakeholders.
- Drive innovation by evaluating and adopting emerging technologies where relevant.
- Build and integrate intelligent features into the platform, leveraging LLMs, agents, and AI frameworks where they add user value.
- Partner with other teams to integrate and optimize intelligent features and workflows within the platform.
AlphaSense is an equal-opportunity employer. We are committed to a work environment that supports, inspires, and respects all individuals. All employees share in the responsibility for fulfilling AlphaSense’s commitment to equal employment opportunity. AlphaSense does not discriminate against any employee or applicant on the basis of race, color, sex (including pregnancy), national origin, age, religion, marital status, sexual orientation, gender identity, gender expression, military or veteran status, disability, or any other non-merit factor. This policy applies to every aspect of employment at AlphaSense, including recruitment, hiring, training, advancement, and termination.
In addition, it is the policy of AlphaSense to provide reasonable accommodation to qualified employees who have protected disabilities to the extent required by applicable laws, regulations, and ordinances where a particular employee works.
Recruiting Scams and Fraud
We at AlphaSense have been made aware of fraudulent job postings and individuals impersonating AlphaSense recruiters. These scams may involve fake job offers, requests for sensitive personal information, or demands for payment. Please note:
- AlphaSense never asks candidates to pay for job applications, equipment, or training.
- All official communications will come from an @alpha-sense.com email address.
- If you’re unsure about a job posting or recruiter, verify it on our Careers page.
If you believe you’ve been targeted by a scam or have any doubts regarding the authenticity of any job listing purportedly from or on behalf of AlphaSense please contact us. Your security and trust matter to us.
Requirements mentioned
- Bachelor's or Master's Degree in Computer Science or related discipline.
- Minimum 8 years of software development experience building scalable, high-performing, and robust applications.
- Strong proficiency in JavaScript with solid experience in full-stack development.
- Expertise in modern web frameworks such as React, TypeScript, and GraphQL.
- Identify and codify React performance best practices, architectural trade-offs, and code-level improvements in the existing codebase.
- Experience with at least one backend language/framework (e.g., Node.js, Java, Python)
- Strong computer science fundamentals (data structures, algorithms, multithreading, distributed systems).
- Experience with SQL/NoSQL databases (e.g., DynamoDB, MySQL, Redis, Elasticsearch, Solr/Vespa/Lucene).
- Cloud-native development experience with AWS or GCP.
- Skilled with containerization and orchestration tools (Kubernetes, Docker, Helm).
- Familiarity with observability tools and platforms (monitoring, logging, tracing).
- Experience with service reliability, on-call ownership, and incident triage for production systems.
- Demonstrated ability to lead technically within distributed, cross-functional teams.
- Hands-on experience using AI-assisted development tools (e.g., Claude Code, Copilot) as a core part of daily engineering workflow.
- Track record of driving AI adoption within engineering teams - establishing best practices, defining guardrails, evaluating tools, and measurably improving team velocity through AI-assisted workflows (a strong plus).
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