
201 - 500 employees
🤖 Artificial Intelligence
💸 Finance
💳 Fintech
💰 $80M Series C on 2021-09
Artificial Intelligence • Finance • Fintech
Ocrolus is a company that provides AI-driven document processing automation with human-in-the-loop. It specializes in streamlining and enhancing the accuracy of financial document analysis and decision-making for various industries, including small business lending, mortgage, consumer, and multifamily sectors. Ocrolus's technology enables lenders to manage risk and avoid fraud by automating document analysis, ensuring compliance, and bolstering security. The company offers intelligent document processing solutions that classify, capture, detect, and analyze data, providing insights into cash flow, income, employment, address, and identity verification. Ocrolus is known for its innovative approach in automating business processes and enhancing back-office efficiency with a focus on making faster and more accurate financial decisions.
🕒 August 24
Improve your chances of getting an interview by checking your resume score before you apply.

201 - 500 employees
🤖 Artificial Intelligence
💸 Finance
💳 Fintech
💰 $80M Series C on 2021-09
Artificial Intelligence • Finance • Fintech
Ocrolus is a company that provides AI-driven document processing automation with human-in-the-loop. It specializes in streamlining and enhancing the accuracy of financial document analysis and decision-making for various industries, including small business lending, mortgage, consumer, and multifamily sectors. Ocrolus's technology enables lenders to manage risk and avoid fraud by automating document analysis, ensuring compliance, and bolstering security. The company offers intelligent document processing solutions that classify, capture, detect, and analyze data, providing insights into cash flow, income, employment, address, and identity verification. Ocrolus is known for its innovative approach in automating business processes and enhancing back-office efficiency with a focus on making faster and more accurate financial decisions.
• Own systems that identify target audiences, build prospecting and expansion lists, analyze product usage, and connect campaign performance to revenue impact • Mine CRM, product usage data, and intent signals to identify net-new segments and expansion opportunities • Build and maintain segmented prospecting lists for SDR and paid media campaigns • Map customer accounts based on product adoption, processing volume, and underutilized product lines • Define and operationalize ICP scoring in HubSpot and SFDC • Build systems connecting marketing activity to pipeline from first touch through opportunity creation • Coordinate multi-channel email, paid, and SDR campaign workflows triggered by behavioral or firmographic signals • Build account-level intent scoring and translate intent signals into campaigns • Own closed-loop attribution connecting ad platform, campaign response, and CRM opportunity data • Analyze Heap and Snowflake product usage data to identify expansion opportunities • Build cross-sell, upsell, renewal-risk, and retention campaign playbooks and triggers • Develop a data model linking customer engagement to revenue expansion potential • Build and maintain HubSpot automation workflows and integrate CRM, product usage, intent, and ad-platform data • Document systems, data definitions, and workflows • Evaluate and pilot AI and automation tools • Define campaign KPIs, build funnel and ROI dashboards, and run A/B audience, message, and channel experiments • Report to the VP, Growth Marketing and collaborate with Demand Gen, Customer Marketing, Product Marketing, Digital, and Account Management teams
• 4+ years in a B2B sales, marketing or revenue operations role at a fast-paced SaaS or fintech company • Hands-on experience with HubSpot and SFDC or comparable CRM/MAP, including building lists, workflows, and reports • Strong SQL and Snowflake proficiency • Ability to connect marketing activity to pipeline or revenue outcomes, including attribution models or closed-loop reports • Experience working with product usage or behavioral data to inform marketing decisions • Analytical approach: form hypotheses, build queries, test them, and act on results • Experience in mortgage tech, fintech, or lending SaaS strongly preferred • Familiarity with intent data platforms such as 6sense, Bombora, or ZoomInfo, and GA4 strongly preferred • Experience with data enrichment tools such as Clay or Clearbit strongly preferred • Familiarity with Heap or comparable product analytics tools strongly preferred • Python or JavaScript for lightweight automation scripts and API calls strongly preferred • Comfort working with AI tools, including Claude, strongly preferred
• Remote-first work environment • Opportunities to grow your skills • Ownership of your work • Meaningful impact • Inclusive workplace • Diverse and collaborative team culture
Apply Now🕒 August 24
Senior Software Engineer building Simbian’s AI-first cybersecurity enterprise platform. Designing multi-tenant infrastructure, access control, and reliable AWS deployments.
AWS
Cloud
Distributed Systems
Docker
Kubernetes
Python
React
🕒 August 21
WAN and SD-WAN architect designing global routing, switching, and edge infrastructure for TD SYNNEX, a technology distributor. Setting standards and resolving complex network issues across regions.
Switching
VMware
🕒 August 20
Full Stack Developer building scalable cloud-native applications for Miratech, a global IT services and consulting company. Developing React, Spring Boot, Node.js, MongoDB, AWS, and Azure solutions.
AWS
Azure
Cloud
Docker
JavaScript
Kubernetes
Microservices
MongoDB
Node.js
React
Spring
Spring Boot
SpringBoot
Terraform
🕒 August 20
Full Stack AI Lead Developer building enterprise AI applications for Jabil’s engineering, supply chain, and manufacturing solutions. Integrating LLMs, Python, AWS, Docker, and Kubernetes.
AWS
Cloud
Docker
Kubernetes
Linux
Postgres
Python
SQL
🕒 August 20
Senior Software Engineer building Java and Spring Boot microservices for Resilinc’s agentic AI supply-chain intelligence platform. Designing resilient APIs, PostgreSQL systems, and Azure cloud infrastructure.
Angular
Azure
Cloud
Docker
Gradle
Hibernate
Java
JUnit
Kafka
Kubernetes
Maven
Microservices
Mockito
Postgres
RDBMS
React
Redis
Spark
Spring
Spring Boot
SpringBoot
SQL