Startups · updated daily

Data infrastructure startups hiring now

The data infrastructure startups hiring the most right now are ClickHouse, Fivetran and DDN. 37% of their open roles are in engineering. 38% of these companies hire mostly remote. Most are based in San Francisco, New York City and Boston. Every role here comes from the company’s own careers page and is re-checked daily.

37%

of roles in engineering

17%

of roles in sales and gtm

8%

of roles in ai and ml

7%

of roles in operations

7%

of roles in product and design

Companies

Who is hiring

ClickHouse

ClickHouse

palo alto, US · Series D

ClickHouse is an open-source column-oriented SQL database management system for online analytical processing (OLAP). It is available as both open-source software and a cloud offering. The company provides solutions for real-time analytics, data warehousing, observability, and AI workloads.

189 open roles72% remote

Fivetran

Fivetran

Oakland, US

Fivetran provides automated data integration, delivering ready-to-use connectors that automatically adapt as schemas and APIs change. The platform centralizes data from hundreds of SaaS applications and databases into any cloud destination, whether deployed on-premises, in the cloud, or in a hybrid environment.

152 open roles25% remote

DDN

DDN

Chatsworth, US · Private Equity

DDN provides high-performance data storage and management solutions.

91 open roles30% remote

InterSystems

InterSystems

Boston, US · Bootstrapped

InterSystems delivers data platforms that solve interoperability, speed, and scalability problems for large organizations.

88 open roles33% remote

Precisely

Precisely

Burlington, US · Private Equity

Precisely offers software, data, and data strategy consulting services for customers’ most critical business and IT functions. The Precisely Data Integrity Suite provides cloud services for data integration, governance, observability, quality, enrichment, and location intelligence.

61 open roles85% remote

WEKA

WEKA

Campbell, US · Series E

WEKA is the AI-native data platform company that provides the WEKA® Data Platform, a cloud and hardware-agnostic software solution for performance-intensive applications. The platform transforms stagnant data silos into dynamic data pipelines that help enterprise AI, ML, and GPU workloads run faster and more efficiently. WEKA's core offering is the NeuralMesh™ storage system, designed specifically to enhance artificial intelligence (AI) performance and efficiency.

60 open roles79% remote

Supabase

Supabase

San Francisco, US · Series E

Supabase provides a complete backend including Database, Auth, Storage, Edge Functions, Realtime, and Vector Search.

52 open roles100% remote

Hevo Data

Hevo Data

San Francisco, US · Series B

Companies use Hevo to build a 360-degree view of their customers by combining data from sales CRM, advertising channels, marketing tech, and other applications.

48 open roles2% remote

SingleStore

SingleStore

San Francisco, US · Series F

SingleStore is a distributed SQL database built to power intelligent applications. It is delivered as a SaaS data platform (SingleStore Helios) available in AWS, Azure, and GCP.

43 open roles82% remote

Aiven

Aiven

Helsinki, FI · Series D

Aiven provides an AI-ready open source data platform that combines open choice services to stream, store, and serve data across major cloud providers. The platform offers managed open-source data technologies like Apache Kafka, PostgreSQL, ClickHouse, and OpenSearch on all major clouds.

42 open roles0% remote

Eon.io

Eon.io

New York City, US · Series D

Eon is a cloud backup posture management platform that automates ingestion from cloud data sources across AWS, Microsoft Azure, and Google Cloud under a single pane of glass. It converts static backups into an accessible data lake, turning them into live, portable assets for AI, analytics, and recovery.

34 open roles67% remote

Reltio

Reltio

Redwood Shores, US · Series E

Reltio's cloud-native SaaS platform harmonizes, unifies, and enriches data and metadata across sources and formats in real time. Organizations gain 360-degree views of core data mobilized in milliseconds to any application, user, or AI agent.

32 open roles13% remote

Aerospike

Aerospike

Mountain View, US

Aerospike is the real-time database for mission-critical use cases and workloads, including machine learning, generative, and agentic AI. Aerospike powers millions of transactions per second with millisecond latency. The company also offers Aerospike Graph, a scalable graph database add-on that supports complex data relationships using Apache TinkerPop and Gremlin.

32 open roles36% remote

Moss

Moss

San Francisco, US · YC F25

Moss is a real-time semantic search runtime for AI agents, voice agents, copilots, and multimodal apps. It delivers sub-10ms lookups and instant index updates without extra infrastructure.

31 open roles23% remote

Redis

Redis

mountain view, US · Series G

Redis provides database products, services, and tools that help users operate Redis databases.

30 open roles60% remote

Collibra

Collibra

New York, US · Series G

The platform enables data discovery, understanding, and access through business-led collaboration. It also provides AI governance capabilities.

23 open roles48% remote

MinIO

MinIO

Redwood City, US · Series B

MinIO provides high-performance enterprise object storage software that is API-compatible with Amazon S3.

22 open roles95% remote

Qumulo

Qumulo

Seattle, US · Series E

Qumulo provides a cloud data platform that manages exabytes of data, unifying files and objects across edge, core, and cloud. The platform is built for demanding enterprise workloads such as AI, HPC simulations, media editing, and video surveillance.

22 open roles68% remote

Valon Tech

Valon Tech

New York City, US · Series C

Valon builds ValonOS, an AI-native operating system for mortgage servicing. The platform unifies workflows, data, and money movement into a single system of record.

21 open roles57% remote

Chalk

Chalk

San Francisco, US · Series A

Chalk is the AI/ML data platform, providing infrastructure in your own cloud for getting fresh, contextual data to your models and agents at inference time. Chalk offers both the features/context and compute solutions for inference, built on the same philosophy: define what you need in Python, and run it on infrastructure you control. Leading companies depend on Chalk for everything from stopping fraudulent credit card swipes, verifying identities, and maximizing clean energy capture.

17 open roles24% remote

LatchBio

LatchBio

San Francisco, US · Series A

Latchbio is a cloud platform for handling and analyzing biological data. > Latch is a platform for you to store, analyze, and visualize multiomics data.

16 open roles38% remote

PhoenixAI

PhoenixAI

Menlo Park, US · Series B

PhoenixAI provides an analytical database for enterprise AI agents. Its platform gives agents fast access to live enterprise data and combines real-time data with stored data.

14 open roles40% remote

ArangoDB

ArangoDB

San Francisco, US · Series B

ArangoDB provides a multi-model database that combines graph, document, key/value, full-text, and vector search in a single engine. The Arango Contextual Data Platform gives developers a single environment to build and run AI-powered applications without stitching together multiple databases.

14 open roles92% remote

MP DATA

MP DATA

boulogne-billancourt, FR

MP DATA is a consulting company specializing in data science, AI, data visualization, engineering, and digital transformation solutions.

14 open roles0% remote

VREY

VREY

Berlin, DE · Seed

The platform processes smart meter measurement data for analyzing and billing solar power usage.

14 open roles0% remote

Indexical

Indexical

San Francisco, US

Indexical is an AI-powered data extraction engine. It specializes in web crawling and scraping using large language models.

14 open roles38% remote

Yugabyte

Yugabyte

Sunnyvale, US · Series C

We are seeing massive demand from enterprises and startups alike for Yugabyte Cloud product offerings, which deliver a streamlined operational experience for running YugabyteDB in any public, private, or hybrid cloud or Kubernetes infrastructure.

13 open roles36% remote

Cockroach Labs

Cockroach Labs

New York City, US · Series F

Cockroach Labs is the creator of CockroachDB, a cloud-native distributed SQL database. CockroachDB is offered as a fully managed cloud service (CockroachDB Dedicated) and a serverless beta.

13 open roles38% remote

Convex

Convex

San Francisco, US · Series A

Convex provides a backend platform with a reactive database, serverless functions, and real-time data synchronization for web apps. ACID transactions, end-to-end type safety, and realtime subscriptions are default. Teams at OpenAI, Tripadvisor, Solana, Zapier, and Reducto build on Convex.

12 open roles0% remote

Wasabi Technologies

Wasabi Technologies

Boston, US · Series E

Wasabi Technologies provides cloud storage for organizations that need to store backups, medical images, financial data, video, and other digital files.

12 open roles25% remote

Open roles

Newest roles at these startups

What data infrastructure startups build

Companies working in data infrastructure. ClickHouse: ClickHouse is an open-source column-oriented SQL database management system for online analytical processing (OLAP). It is available as both open-source software and a cloud offering. The company provides solutions for real-time analytics, data warehousing, observability, and AI workloads. Fivetran: Fivetran provides automated data integration, delivering ready-to-use connectors that automatically adapt as schemas and APIs change. The platform centralizes data from hundreds of SaaS applications and databases into any cloud destination, whether deployed on-premises, in the cloud, or in a hybrid environment. DDN: DDN provides high-performance data storage and management solutions.

The roles they hire for

Across the roles open today, the mix is engineering (37%), sales and gtm (17%), ai and ml (8%), operations (7%) and product and design (7%). Engineering roles here often ask for hands-on work with the product's hardest part, so a portfolio or a shipped project counts for more than a long resume.

How to get hired at data infrastructure startups

These teams hire fast and from their own careers pages, so the first applications get read first. Apply in the first day a role is up, tailor your resume to the role's own words, and answer the screening questions like you already work there. landed does all three for you: it watches every company on this page and applies the moment a fitting role goes up.

landed applies. You interview.

Let landed apply to data infrastructure for you

landed watches every company on this page and applies the moment a fitting role goes up, with a tailored resume and answers for the role. 25 free applications, no card.

Frequently asked

Which data infrastructure startups are hiring the most?

Right now: ClickHouse, Fivetran, DDN, InterSystems and Precisely. The list above ranks every company by the roles it has open today.

Do data infrastructure startups hire remotely?

38% of the companies here hire mostly remote. Each company page shows its own remote share.

What roles do data infrastructure startups hire for?

The most common are engineering, sales and gtm and ai and ml.

Can landed apply to data infrastructure startups for me?

Yes. landed watches every company on this page, applies on each company’s own site the moment a fitting role goes up, and writes the answers for every role. Your first 25 applications are free.

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