AlphaSense is an AI platform providing market intelligence and workflow orchestration for business and financial decision-making.
<div class="content-intro"><h2><strong>About AlphaSense: </strong></h2> <p style="text-align: justify;"><span style="font-size: 12pt;">The world’s most sophisticated companies rely on AlphaSense to remove uncertainty from decision-making. With market intelligence and search built on proven AI, AlphaSense delivers insights that matter from content you can trust. Our universe of public and private content includes equity research, company filings, event transcripts, expert calls, news, trade journals, and clients’ own research content. </span></p> <p style="text-align: justify;"><span style="font-size: 12pt;">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. Founded in 2011, AlphaSense is headquartered in New York City with more than 2,000 employees across the globe and offices in the U.S., U.K., Finland, India, Singapore, Canada, and Ireland. Come join us!</span></p></div><p><strong>About the Team:</strong></p> <p>Our diverse Product & Engineering team values innovation, collaboration, and the continuous improvement of our platform. We offer a dynamic work environment where employees can grow and thrive while working on cutting-edge technology that shapes the future of AI and search.</p> <p>At AlphaSense, we believe that diverse experiences and perspectives are critical to our success. We are committed to creating an inclusive workplace where all employees feel valued and empowered to be their authentic selves.</p> <p><strong>About the Role</strong></p> <p>AlphaSense is seeking an experienced engineering leader to transform how we build and operate AI-powered systems at scale. You'll join a team of brilliant engineers who've built cutting-edge AI applications, and your mission will be to bring world-class engineering practices that ensure these innovations run reliably for our enterprise customers.</p> <p>This is a unique opportunity for a seasoned engineer who thrives on building robust platforms, mentoring talented teams, and establishing engineering excellence. You'll have significant autonomy to shape our technical architecture while working with frontier AI models and agentic systems that power market intelligence for the world's leading companies.</p> <p><strong>What You'll Do</strong></p> <ul> <li><strong>Architect for Scale</strong>: Design and implement distributed systems that power AI agents processing thousands of requests per hour, ensuring reliability, performance, and cost-efficiency</li> <li><strong>Build Engineering Excellence</strong>: Establish comprehensive testing strategies, observability systems, and CI/CD pipelines that catch issues before customers do</li> <li><strong>Lead Through Expertise</strong>: Mentor a team of smart, motivated engineers, sharing your experience in building production systems that don't break at 3 AM</li> <li><strong>Drive Platform Evolution</strong>: Own the technical roadmap for our AI platform, making architectural decisions that will shape our systems for years to come</li> <li><strong>Bridge AI and Engineering</strong>: Collaborate with ML engineers and researchers to productionize cutting-edge AI capabilities while maintaining system stability</li> </ul> <p><strong>What We're Looking For</strong></p> <p><strong>Required:</strong></p> <ul> <li>7+ years building and operating distributed systems in production</li> <li>Track record of improving system reliability (taking services from frequent outages to 99.9%+ uptime)</li> <li>Deep expertise in modern engineering practices: microservices, containerization (Kubernetes), infrastructure as code</li> <li>Experience leading technical initiatives and mentoring engineering teams</li> <li>Strong coding skills with ability to work across the stack</li> <li>Excellence in debugging production issues and implementing comprehensive observability</li> <li>History of making pragmatic trade-offs between perfect and shipped</li> </ul> <p><strong>Preferred:</strong></p> <ul> <li>Experience with LLM applications, agent frameworks, or AI/ML infrastructure</li> <li>Familiarity with prompt engineering, RAG patterns, vector databases</li> <li>Background at high-growth companies or modern engineering cultures</li> <li>Experience with multi-model AI systems (OpenAI, Anthropic, Google, etc.)</li> </ul> <p><strong>Impact You'll Have</strong></p> <p>Within your first year, you'll transform how we build and operate software. You'll reduce incidents, establish testing and observability standards that become part of our DNA, and build platforms that enable other engineers to ship faster and safer. Most importantly, you'll elevate an entire team of engineers, sharing the expertise that only comes from years of building systems at scale.</p><div class="content-pay-transparency"><div class="pay-input"><div class="description"><p>For base compensation, we set standard ranges for all roles based on function and level benchmarked against similar stage growth companies and internal comparables. In order to be compliant with local legislation, as well as to provide greater transparency to candidates, we share salary ranges on all job postings regardless of desired hiring location. Final offer amounts are determined by multiple factors including candidate experience/expertise and may vary from the amounts listed below. </p> <p>You may also be offered equity, and a generous benefits program.</p></div><div class="title">Compensation Range</div><div class="pay-range"><span>$203,000</span><span class="divider">—</span><span>$304,000 USD</span></div></div></div><div class="c