Staff Engineer, Software
Alphasense INC · 🌍 Remote - India · Remote
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About the role
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. About the Role We're looking for a Staff Software Engineer who owns technical direction, thrives in ambiguity, and uses AI as a natural part of how they build software. You won't just write code — you'll make decisions that shape systems for years, mentor engineers across teams, and drive the engineering bar higher across the organization. This team designs and operates large-scale systems that ingest, process, and enrich diverse content like filings, transcripts, news, research, and more. In this role, you will build and own backend services and high-throughput data pipelines that turn raw content into structured, searchable intelligence. As a Staff Engineer, you'll operate at the intersection of technical depth and organizational influence — turning ambiguous business problems into executable technical strategies, and shipping them end-to-end. What You'll Do • Set technical direction for your area — make build-vs-buy decisions, define architecture, and own the technical roadmap alongside product leadership. • Take ambiguous problems and make them concrete — scope work, identify risks, break down large initiatives into deliverable increments, and drive alignment across teams. • Design and deliver production-grade systems — scalable pipelines, robust services, and high-performance solutions that serve real users at scale. • Leverage AI tools as part of your workflow — you use AI-assisted development (Claude Code, Cursor, Copilot) to accelerate your work and have formed opinions on when it helps and when it gets in the way. • Evaluate and integrate AI/ML capabilities into production systems when the problem calls for it — you don't need to be an ML researcher, but you're sharp enough to pick up LLMs, embeddings, or classification models and put them to work. • Drive cross-team technical initiatives — influence engineers and teams you don't manage. Lead RFCs, drive architectural reviews, and build consensus on hard technical decisions. • Own what you build — from requirements to release to production. You build it, you run it. You monitor SLOs/SLIs, troubleshoot production issues, and continuously improve reliability. • Raise the engineering bar — through code reviews, mentorship, technical documentation, and by modeling the standards you expect from others. Must Have • Strong in Python (our primary backend language). Comfortable working across languages — you've shipped production code in at least two. • Designed and owned production systems serving real users at scale — not just contributed to them, but made consequential architectural decisions and lived with the outcomes. • Led cross-team technical initiatives without formal authority — driven migrations, platform changes, or architectural shifts that required aligning multiple teams. • Strong system design instincts — you think in terms of failu