Staff Software Engineer

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 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

Experience evolving or re-platforming live systems with many downstream consumers

Preferred

Experience with company or financial reference data, or vendor reconciliation

Provenance, lineage, confidence-scoring, or quarantine/resolution workflows

Integrating new data vendors end to end

Cloud-native architectures and internal platforms shared across teams

What You'll Do

Own the architecture and evolution of a major area of the entity data platform

Design systems that ingest and serve large volumes of heterogeneous vendor data at scale 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

$164,450 — $226,550 CAD

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.

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