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.
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!
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.
- 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 failure modes, data flow, scalability, and operational cost. You design for the system you'll maintain, not just the one you'll ship.
- Deep DevOps and operational experience — Kubernetes, cloud infrastructure (AWS/Azure/GCP), CI/CD, observability. You don't throw code over the wall.
- Track record of mentoring engineers and raising team standards — through pairing, reviews, RFCs, and leading by example.
- Experience leading large-scale migrations or platform rewrites
- Hands-on experience with AI/ML in production — LLMs, BERT, NLP pipelines, or document understanding systems
- Contributed to or driven engineering-wide standards, practices, or tooling
- Experience with content processing, enrichment, or search systems at scale
- Familiarity with Java (parts of our stack)
- Experience with GitOps, ArgoCD, or Infrastructure as Code
- Active practitioner of AI-assisted development (AIDLC) — uses AI tools daily in their engineering workflow
Our technical interview includes a hands-on session in a real development environment — not a whiteboard. You'll work on a realistic, messy codebase with AI tools pre-configured and available. We're evaluating how you think, how you use tools, and how you approach problems — not whether you've memorized algorithms.
What we look for:
- How you navigate and make sense of unfamiliar code
- How you leverage AI tools — critically, not blindly
- How you decompose problems and make incremental progress
- How you communicate trade-offs and decisions as you work
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.
Skills Required
- Strong Python skills and production experience in at least two programming languages
- Experience designing and owning production systems serving real users at scale
- Experience leading cross-team technical initiatives without formal authority
- Strong system design skills covering failure modes, data flow, scalability, and operational cost
- Deep DevOps and operational experience with Kubernetes, cloud infrastructure, CI/CD, and observability
- Track record of mentoring engineers and raising engineering standards
- Experience leading large-scale migrations or platform rewrites
- Hands-on production experience with AI/ML, including LLMs, BERT, NLP pipelines, or document understanding systems
- Experience establishing engineering-wide standards, practices, or tooling
- Experience with content processing, enrichment, or search systems at scale
- Familiarity with Java
- Experience with GitOps, ArgoCD, or Infrastructure as Code
- Active use of AI-assisted development tools in engineering workflows
AlphaSense Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about AlphaSense and has not been reviewed or approved by AlphaSense.
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Inclusive Benefits Coverage — Healthcare offerings include gender-affirming care and unlimited fertility coverage in addition to comprehensive medical options. Mental-health resources and an assistance program are also emphasized.
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Leave & Time Off Breadth — PTO is presented as generous or unlimited in the U.S., with volunteer days and notable parental leave for primary caregivers. These policies indicate flexible time-away support.
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Strong & Reliable Incentives — On-target earnings for several sales functions are positioned as competitive, offering meaningful upside when targets are met.
AlphaSense Insights
What We Do
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. Headquartered in New York City, AlphaSense employs over 2,000 people across offices in the U.S., U.K., Finland, India, Canada, and Ireland. For more information, please visit www.alpha-sense.com.
Why Work With Us
AlphaSense is shaping how companies make decisions. We're product-driven and customer obsessed in our mission to take decision makers from complexity to clarity. Our culture balances ambition with humility, autonomy with teamwork. With mentorship and real ownership, you’ll have everything you need to keep evolving, personally and professionally.
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