Principal Engineer, Data Platform

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 alpha-sense.com. Come join us.

About the Role

AlphaSense runs a large-scale, Kubernetes-native platform built on a modern microservices architecture, serving the majority of the Fortune 500. We are moving it to a cell-based architecture, where each cell is an independent deployment of the platform.

The hardest part is data. Our platform relies on a broad ecosystem of data platforms and storage systems, including Vespa, MongoDB, ClickHouse, Redis, ScyllaDB, PostgreSQL, Temporal, and Kafka, to name a few. This role is focused on the Data Platform: the capabilities that let engineering teams build, run, and scale their storage at large scale without each team becoming an expert in every system.

You will help set the technical direction for the Data Platform and build it rather than only specify it. A central part of the work is building the capabilities for large-scale data migrations, so we can create, move, split, and rebalance data across cells and geographies as the cell-based architecture rolls out.

We prefer managed solutions over self-hosted ones, and we expect engineers to own their storage. Teams run what they build, and this role makes that model work at scale: you build it, you run it, and you scale it. Your job is to give teams the platform, standards, and tooling to do that safely, and to own the reliability and scalability of the platform itself.

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 a performance-based bonus, equity, and a generous benefits program.

Base Compensation Range $246,000—$339,000 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.

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