Set technical direction, make build-versus-buy decisions, define architecture, and own the technical roadmap alongside product leadership.
Turn ambiguous problems into executable plans by scoping work, identifying risks, breaking initiatives into deliverable increments, and aligning teams.
Design and deliver scalable pipelines, robust services, and high-performance production systems.
Use AI-assisted development tools, including Claude Code, Cursor, and Copilot, as part of the engineering workflow.
Evaluate and integrate AI/ML capabilities such as LLMs, embeddings, and classification models into production systems when appropriate.
Lead cross-team technical initiatives, RFCs, architectural reviews, and consensus-building on technical decisions.
Own systems from requirements through release and production, monitor SLOs/SLIs, troubleshoot issues, and improve reliability.
Raise engineering standards through code reviews, mentorship, and technical documentation.
AWSPythonGCP+3 more
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About AlphaSense
AlphaSense transforms how professionals make critical decisions by delivering AI-powered market intelligence. Their platform processes vast amounts of public and private content, including equity research and expert calls. Over 6,500 enterprise customers, including 88% of the S&P 100, trust AlphaSense. The company integrates AI search, company analytics, and generative AI tools to automate research. AlphaSense empowers you to uncover comprehensive insights quickly, making informed, impactful decisions.
How We Work
AlphaSense embraces a fluid work environment with both in-office and remote options. Their diverse and global team collaborates across disciplines and time zones. They value innovation, customer empathy, and a bias for action. You will find a commitment to an inclusive workplace where every employee feels valued. They are an equal-opportunity employer, committed to supporting all individuals.
Engineering at AlphaSense
Engineers at AlphaSense pioneer AI-driven solutions for market intelligence. They tackle complex challenges in scaling full-stack systems and integrating cutting-edge AI. Their tech stack includes Ruby on Rails, TypeScript, Vue.js, React, Node.js, and GraphQL. They leverage AWS and GCP, Kubernetes for orchestration, and Terraform for infrastructure as code. You will embed AI into the SDLC, from code authoring to debugging and testing, using open-source LLMs like BERT. They deploy code quickly, often over 10 times per day, using feature flags for major releases.
Why Join Us
Shape the future of market intelligence with AI-driven products.
Work with cutting-edge technologies like LLMs and advanced cloud infrastructure.
Contribute to a platform trusted by 88% of the S&P 100.
Collaborate with a diverse, global team in a flexible work environment.
Accelerate your career in a company backed by $1.39 billion in funding.
Benefits & Perks
Competitive compensation and performance-based bonuses.
Equity opportunities in a high-growth company.
Comprehensive health, dental, and vision coverage.
Flexible Paid Time Off (PTO) and remote work options.
Learning and development resources to foster your growth.