
Job Overview
Location
Remote - India
Job Type
Full-time
Category
Software Engineering
Date Posted
June 22, 2026
Full Job Description
đź“‹ Description
- • Set technical direction for the Unstructured Content Portfolio, Broker Research domain by making build-vs-buy decisions, defining architecture, and owning the technical roadmap alongside product leadership.
- • Transform ambiguous business problems into concrete technical initiatives by scoping work, identifying risks, and breaking down large initiatives into deliverable increments while driving alignment across teams.
- • Design and deliver production-grade systems including scalable ingestion pipelines, robust microservices, and high-performance content delivery solutions that serve real users at scale with strict compliance and low-latency requirements.
- • Leverage AI-assisted development tools (e.g., Claude Code, Cursor, Copilot) as a natural part of the engineering workflow, with formed opinions on their effective use and limitations.
- • Evaluate and integrate AI/ML capabilities such as LLMs, embeddings, and classification models into production systems when appropriate, without requiring deep ML research expertise but demanding sharp technical judgment.
- • Drive cross-team technical initiatives without formal authority by leading RFCs, conducting architectural reviews, and building consensus on complex technical decisions across multiple engineering teams.
- • Own end-to-end delivery of systems—from requirements and development to release, monitoring, and production support—including defining and maintaining SLOs/SLIs, troubleshooting incidents, and continuously improving reliability.
- • Raise the engineering bar across the organization through rigorous code reviews, mentorship of junior and mid-level engineers, technical documentation, and modeling high standards in design, testing, and operational discipline.
- • Operate within a domain focused on real-time acquisition, processing, and delivery of equity research from major brokers, including enforcement of entitlements across distributed systems where accuracy, compliance, and performance are critical.
- • Work with systems handling thousands of content sets, multi-vendor API integrations, and complex rule engines for document processing and entitlement management affecting over 6,000 enterprise customers including a majority of the S&P 500.
- • Contribute to a culture of autonomy and accountability where Staff Engineers own their technical areas and are empowered to make consequential decisions with long-term impact.
- • Engage with hard, non-busywork problems such as multi-format document enrichment, real-time entitlements with sub-second latency, and large-scale rule engine optimization.
🎯 Requirements
- • Strong proficiency in Python as the primary backend language, with proven experience shipping production code in at least two programming languages.
- • Designed and owned production systems serving real users at scale, having made consequential architectural decisions and lived with their operational outcomes.
- • Led cross-team technical initiatives without formal authority, such as driving platform migrations, architectural shifts, or system-wide changes requiring alignment across multiple teams.
- • Strong system design instincts focused on failure modes, data flow, scalability, and operational cost, designing for maintainability over just shipping.
- • Deep DevOps and operational experience with Kubernetes, cloud infrastructure (AWS/Azure/GCP), CI/CD pipelines, and observability tooling; no throwing code over the wall.
- • Proven track record of mentoring engineers and raising team standards through pairing, code reviews, RFCs, and leading by example.
🏖️ Benefits
- • Real impact at scale—architectural decisions directly affect top global companies using AlphaSense’s platform.
- • Autonomy with accountability—Staff Engineers own their technical areas and have freedom to make big decisions with responsibility to ensure they succeed.
- • Work on hard, intellectually stimulating problems such as complex rule engines, multi-format document processing, and real-time entitlement systems with low-latency demands.
Skills & Technologies
See exactly how your profile matches this role — strengths, skill gaps, and what to do about them.
About AlphaSense, Inc.
AlphaSense is a market intelligence platform that uses AI to search and analyze financial documents, earnings calls, broker research, news, and regulatory filings for investment firms, corporations, and consultancies. The SaaS product applies natural-language processing to surface relevant insights, trends, and sentiment across millions of sources in real time, enabling faster and more informed decisions.
Subscribe to the weekly newsletter for similar remote roles and curated hiring updates.
Newsletter
Weekly remote jobs and featured talent.
No spam. Only curated remote roles and product updates. You can unsubscribe anytime.
Similar Opportunities

Vanta, Inc.
4 months ago

Keyrock NV
4 months ago

Cloudera, Inc.
3 months ago

OpenAI, Inc.
4 months ago