AlphaSense Logo

AlphaSense

Staff Software Engineer

Posted 20 Days Ago
Remote or Hybrid
Hiring Remotely in United States
202K-278K Annually
Senior level
Remote or Hybrid
Hiring Remotely in United States
202K-278K Annually
Senior level
Seeking a Staff Software Engineer to lead the design and evolution of the entity data platform, focusing on data ingestion, resolution, and delivering accurate data. Responsibilities include system architecture, improving reliability, and mentoring team members.
The summary above was generated by AI
About AlphaSense: 

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!

About the Team:

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.

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.

About the Role: 

We are seeking a Staff Software Engineer to join Reference and Entity Data Systems (REDS) and own the design and evolution of our entity data platform — ingesting company data from global vendors, resolving it into authoritative records, and delivering accurate, timely data to downstream teams and customers. REDS owns vendor ingestion, entity generation, data quality and freshness, and delivery to downstream consumers.

If entity data is wrong, incomplete, or stale, everything downstream fails. Human validation still acts as a safety net in parts of the pipeline. Your mission is to systematically reduce that dependency by increasing correctness, confidence, and trust — without sacrificing speed or scale.

You will operate at the intersection of distributed systems, entity resolution, data quality, AI-assisted decision-making, and platform architecture.

Who You Are:
  • 8+ years building and operating large-scale production systems
  • Proven experience with data ingestion, entity resolution, matching, or normalization at scale
  • Deep expertise in one or more of: distributed systems, data pipelines, reference data platforms, platform engineering, or AI-powered classification and validation
  • Strong code, system design, and architecture pattern skills
  • Ability to design trustworthy systems combining probabilistic (AI) and deterministic approaches
  • Delivery excellence: incident response, observability, and reliability improvements that stick
  • Effective use of AI, testing, automation, and tooling to ship confidently
  • Track record of setting standards, driving technical decisions, and elevating peers through documentation and mentoring
  • End-to-end ownership from integration through entity generation to operational readiness
  • Experience with company or financial reference data, or vendor reconciliation (preferred)
  • Provenance, lineage, confidence-scoring, or quarantine/resolution workflows (preferred)
  • Integrating new data vendors end to end (preferred)
  • Cloud-native architectures and internal platforms shared across teams (preferred)

What You’ll Do: 

  • Own the architecture and evolution of a major area of the entity data platform
  • Design systems that process large volumes of heterogeneous vendor data with high reliability, freshness, and accuracy
  • Reduce manual validation overhead through AI-assisted resolution, confidence scoring, provenance, and deterministic matching rules
  • Establish clear contracts for correctness and traceability — e.g., which source supplied a field, why an entity was matched or created
  • Balance AI-driven and rules-based approaches where each improves reliability and explainability
  • Deliver end-to-end integrations across ingestion, matching, entity generation, and delivery
  • Respond to production incidents in your area; improve observability and reliability through iterative hardening
  • Set engineering standards, mentor engineers, and partner with product and downstream consumers on quality bars and success metrics

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. 

You may also be offered equity, and a generous benefits program.

Compensation Range
$202,400$278,300 USD

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.

Similar Jobs

14 Hours Ago
Remote or Hybrid
150K-262K Annually
Senior level
150K-262K Annually
Senior level
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Lead complex customer-facing AI and GenAI deployments on the ServiceNow platform, evolve playbooks and shared tooling, mentor incoming engineers, capture reuseable patterns, and drive quality standards across the GAIL program while partnering with product and engineering to close feedback loops.
Top Skills: Ai AgentsGenaiJavaJavaScriptNow AssistPrompt EngineeringPythonServicenow
14 Hours Ago
Remote or Hybrid
Santa Clara, CA, USA
191K-334K Annually
Senior level
191K-334K Annually
Senior level
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Lead design and implementation of integrations that ingest data from external services (AWS, Okta, GCP, Azure, Box, HashiCorp, Databricks). Drive architecture, scalability, and reliability of microservices and data models, mentor backend engineers, partner with product and customers, and apply AI/ML to streamline adding integrations and mapping access relationships.
Top Skills: Ai/Ml ModelsAWSAzureBoxCaching MechanismsDatabricksDistributed SystemsGoGoogle Cloud PlatformHashicorpJavaMicroservicesNoSQLOktaRestful ApisSQL
Yesterday
Easy Apply
Remote
United States
Easy Apply
195K-225K Annually
Senior level
195K-225K Annually
Senior level
Healthtech • Insurance • Sales • Software
Lead full‑stack development and architecture for Spark’s broker platform. Deliver customer‑facing features, partner with product/design, mentor engineers, resolve technical debt, and set engineering standards while using AI developer tools.
Top Skills: AWSDjangoJavaScriptPythonReactVue

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account