AI Data Engineer, Quantifind
$160-200k
+ Equity
More information about location
Automated AML investigations
Be an early applicant
Automated AML investigations
21-100 employees
Be an early applicant
$160-200k
+ Equity
More information about location
21-100 employees
Company mission
To help customers leverage powerful AI and disruptive science to automatically discover hidden criminal and financial risk.
Role
Who you are
- You are an experienced data engineer with a modern AI tooling perspective
- You've built and managed large-scale ingestion pipelines from discovery through to performant products in high-stakes systems
- You bring a data architecture mindset, and are focused on ontologies, frameworks, documentation, and unifying value across heterogeneous sources into knowledge graphs
- You are familiar with investigative products built on open-source intelligence
- You're comfortable managing complexity across both structured and unstructured pipelines, and you're genuinely curious about data: its provenance, its quality, and its ultimate value to customers
- You have a responsible mindset and are familiar with the legal and compliance limits on data use
- You're also an engineer who codes with AI as a first-class tool, not an add-on
- You pair traditional technical training with a forward-leaning approach to agentic coding, rapid prototyping, and multi-agent workflows
- You move fast, iterate with stakeholders, and care about shipping things that work
- US Citizen
- 4+ years of professional experience, including graduate or Ph.D. work if relevant
- Technical education
- Forward-leaning in AI coding, with traditional technical training as a foundation
- Hands-on with AI coding tools and agentic workflows (Claude Code, GPT/Codex, Cursor, Windsurf), including multi-agent approaches for testing and validation
- Database management experience: PostgreSQL, RDS
- Core stack: Python. Helpful: Spark/PySpark, Scala, and other large-scale data tooling
- Experience with large data pipelines, high-performance computing, and Spark/PySpark
- Solid AWS cloud management experience
- Knowledge-graph and ontology frameworks (e.g., Neo4j)
- Self-driven, mission-driven, curious, and constructive — a startup mindset with strong communication skills
- Ability to provide references and meet in person
What the job involves
- As an AI Data Engineer on Quantifind's AI Systems team, you'll drive data prototyping and experimental ETL pipelines
- Drive data discovery, open-source intelligence (OSINT) and related data acquisition, and commercial data ingestion
- Build and manage reliable ETL pipelines with a focus on speed from discovery to value, including database indexing, performance tuning, concurrency, and load balancing
- Perform data quality assurance and independent testing
- Work across structured and unstructured data parsing, enrichment, data architecture, ontology management, knowledge graphs, and data fusion
- Manage data compliance, documentation, and data cards
Our take
The global cost of money laundering stands in the trillions of dollars, with related fines costing businesses billions a year. Quantifind aims to help combat this with automated risk decisions and anti-money laundering investigations, freeing up clients' security teams to focus on the biggest threats.
Quantifind's AI-driven "Graphyte" platform encompasses GraphyteSearch, a web-based investigation application, plus GraphyteAPI for integration, and GraphyteBatch that enables users to submit large numbers of queries at once. Altogether, this allows the platform to act as a one-stop shop for AML, delivering value across the whole risk mitigation process.
At the end of 2022, Quantifind was named one of the most innovative companies in the industry by Fintech Global, after signing 4 of the largest banks in the world, showing the impressively high regard in which its solutions are held. It received $23 million in funding in 2023 to expand its international presence, grow brand recognition, and continue to enhance its offerings.
Steph
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 7 rounds)
Jun 2026
$200m
LATE VC
Jan 2025
$22m
LATE VC
Total funding: $313.3m
Company benefits
- Meaningful equity to full-time employees
- Performance reviews conducted twice per year, with opportunities to advance
- Collaboration across departments - there’s always an opportunity to work on the projects you care most about
- Flexible hours and a flexible vacation policy
- Remote or in-office options
- We encourage people to hone their crafts by taking classes and attending conferences
- We pay 95% of your premiums with top medical, dental and vision plans for you and your family, plus other benefits including FSAs and life insurance
- We match employee retirement contributions dollar-for-dollar up to 4% after your first year
Company HQ
Downtown North, Palo Alto, CA
Leadership
Ari Tuchman
(Co-Founder & CEO)Founder and Chairman of Entanglement Technologies. Former Research Scientist at Stanford.
John Stockton
(Co-Founder)Has worked as a Physicist at Entanglement Technologies, and was a Postdoc at Stanford.
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