About Us
Black Ore is building the leading AI platform for financial services. By combining LLMs, proprietary AI/ML and automation we accelerate core workflows for the industry, allow financial services professionals to be more productive and enable consumers to enhance their personal finance. Our flagship product, Tax Autopilot, combines AI with federal and state tax codes & regulations to simplify the tax preparation and review process for Certified Public Accountants (CPAs) and accounting firms.
Founded in 2022, we launched with $60 million in early stage funding from some of the world’s leading investors including a16z, Founders Fund, General Catalyst, Khosla Ventures, Oak HC/FT, Trust Ventures and leading tech founders/angel investors including Jason Gardner (Founder and CEO of Marqeta), Max Levchin (Founder of Paypal and Affirm), Tom Glocer (Former CEO of Thomson Reuters), Gokul Rajaram, and Mark Britto (EVP, CPO, PayPal).
Our team has an incredibly ambitious vision to completely transform the way businesses and consumers interact in financial services. We’re looking to hire strong team members to grow the team. Some of the traits we look for are:
- Owner Mentality - Desire to take initiative, identify problems and implement solutions
- Mission Driven - Passion for building AI/ML solutions that reimagine how businesses and consumers operate
- Intellectually Curious - Excitement going deep and building detailed understanding of the function, role, customer and problem space
- Team Oriented - Ability to collaborate respectfully and put the team above the self
The Role
As a Technical Data Architect with Black Ore, you will have a key role in translating data into scalable actions that drive our AI-powered software. You will collaborate with business stakeholders to capture requirements, analyze workflows, and present structured requirements to our engineering teams who will create features that enable autonomous tax processing.
This opportunity requires someone who is data-obsessed! If you are a Data Analyst with a specialization in Power BI, this role probably isn't for you.
Responsibilities
- Translate Business Requirements into Scalable Data Models – Work closely with tax SME’s to convert complex tax and accounting logic into well-structured, efficient data-driven solutions.
- Translate data into action - Provide data analysis and create requirements that our engineering team can understand and translate to features.
- Process & Workflow Analysis – Collaborate with business stakeholders to document tax rules and workflows. Design generic, scalable data solutions that apply to diverse problem sets.
- Visualization & Documentation – Use data visualization and diagramming tools to effectively communicate data structures and workflows.
- Design DSL for Business Rule Automation – Define a domain-specific language to capture business logic and drive automation.
- API Management - Integrate with multiple third-party API’s.
Basic Qualifications
- Education - BA or MSC in Computer Science, Information Technology, or related field preferred
- Strong Communication & Collaboration Skills – Ability to communicate with non-technical stakeholders to translate complex business logic into structured, extensible data models for development teams. Demonstrated verbal and written communication skills.
- Scripting Language – Experience with at least one third-generation scripting language (JavaScript or Python preferred) for prototyping and defining data transformations.
- Object-Oriented & Domain Modeling Expertise – Deep understanding of OOP principles to create efficient and aesthetic data architectures. Experience with XML, XSD, JSON, schemas, and metadata. Proficiency in at least one UML design tool.
- Data-driven, analytical thinker - This role requires someone who is data-obsessed, and that can provide literal data analysis as opposed to just statistical analysis.
- Collaboration & Work Ethic – Ability to work both independently and collaboratively in a fast-moving startup environment.
- Attention to Detail - Without Losing Sight of the Big Picture
- Meticulousness – Ensure all variations of large datasets are accounted for.
- Exceptional Analytical & Conceptual Thinking - Ability to generalize business problems into generic & extensible data-driven solutions.
Preferred Qualifications
- Financial Acumen - Understanding of financial concepts and terminologies.
- Familiarity with financial API’s content and structure
- Experience with AI/ML technologies
- Experience with tax or accounting software
- Familiarity with structured & non-structured database technologies and design principles.
- Knowledge of SQL and MQL (MongoDB query language), data pipelines, Big Data, cloud-based datasets.
What We Offer (for U.S. Based Employees)
- Competitive salary and equity based compensation
- Employer-paid medical, dental and vision insurance
- Ability to define your own success
- Continuous learning and new challenges to master