AI-Forward Data Lead (Agent Operator)
SoLo Funds · Los Angeles, CA
- On site
- Full-time
- $145,000 / year
- Los Angeles, CA
Tailored resume — keyword-matched to this role.
Hiring manager — we find who's hiring.
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Job highlights
- Lead AI agents for data operations.
- Own data science, BI, risk, and engineering.
- Design AI agent workflows and guardrails.
- Ensure data quality and governance.
- Translate business questions into answers.
About the role
About SoLo Funds
SoLo Funds is a full-stack, AI-powered community bank, empowering financial autonomy for underserved communities. Launched in 2018 as an on-demand marketplace, SoLo enables its members to request and fund emergency loans—without predatory interest rates. We are VC-backed, supported by Techstars, and have strategic partnerships with Visa and Kiva.
About The Role
SoLo is building the data function of the future: one professional, operating a team of AI agents rather than managing a team of people. You will own data science, analysis, business intelligence, risk, fraud, and data engineering across the entire SoLo ecosystem, using agents as the workforce and your judgment as the control layer. This is a builder-operator role for someone who gets more done through agents than most teams do through headcount.
What You'll Own
- Turn transaction and behavioral data from SoLo Score, SoLo Wallet, SoLo Marketplace, Borrow, and Lend into signals the business can act on.
- Keep lending risk and fraud detection sharp in real time.
- Design the workflows, prompts, guardrails, and evaluation standards that let agents run production analysis, model monitoring, pipeline maintenance, and anomaly detection at scale.
- Own data quality, governance, and reliability end to end.
- Translate ambiguous business questions into clear, defensible answers for leadership.
- Build and refine the evaluation harnesses that keep agent output accurate and auditable.
- Monitor SoLo Score performance, default and delinquency trends, and fraud signals, intervening when human judgment has to lead.
- Stand up dashboards and BI that give the team a live view of marketplace health.
- Partner with product and risk to ship data-informed decisions fast.
What You'll Do Day-to-Day
- Orchestrate agents across the full data lifecycle, from ingestion and pipeline health to modeling and reporting.
- Build and refine the evaluation harnesses that keep agent output accurate and auditable.
- Monitor SoLo Score performance, default and delinquency trends and fraud signals, intervening when human judgment has to lead.
- Stand up dashboards and BI that give the team a live view of marketplace health.
- Partner with product and risk to ship data-informed decisions fast.
You're a Great Fit if You've Got
- Deep fluency in the modern data stack – SQL, Python, warehousing, orchestration, BI tooling.
- Hands-on experience directing AI agents or LLM-based workflows in production, not just experimenting with them.
- Strong grounding in risk and fraud analytics, ideally in fintech, lending, or payments.
- Sound judgment on when to automate and when to step in.
- Comfort operating with high autonomy and full ownership.
You're an All Star Fit if You've Got
- Experience with credit scoring or alternative underwriting.
- Background in consumer fintech or marketplaces.
- Used to a high-pace, high accountability environment.
- Track record of building evaluation or observability systems for ML or agent pipelines.
Our Benefits
- Remote Workplace
- Unlimited Vacation Policy
- Full Healthcare Benefits
- 401K Offered
Key skills/competency
- AI Agents
- Data Science
- Data Analysis
- Business Intelligence
- Risk Analytics
- Fraud Detection
- Data Engineering
- SQL
- Python
- Fintech
Skills & topics
- AI Data Lead
- Data Science
- AI Agents
- Fintech
- Risk Analytics
- Fraud Detection
- Business Intelligence
- Data Engineering
- SQL
- Python
- LLM
- Machine Learning
- Data Governance
- Data Quality
- Remote
How to get hired
- Tailor your resume: Highlight AI agent direction, risk analytics, and fintech experience.
- Craft a strong cover letter: Emphasize your builder-operator mindset and autonomous work style.
- Prepare for technical questions: Be ready to discuss SQL, Python, and modern data stacks.
- Showcase AI proficiency: Demonstrate experience directing AI agents or LLM workflows in production.
- Understand SoLo's mission: Connect your passion for financial autonomy to their community focus.
Technical preparation
Master SQL for data querying and manipulation.,Strengthen Python for data science and automation.,Familiarize with modern data stack tools.,Practice directing AI agents or LLM workflows.
Behavioral questions
Describe a time you used AI for analysis.,How do you ensure data quality with automation?,How do you balance automation with human judgment?,How do you handle high autonomy and ownership?
Frequently asked questions
- What is the compensation range for the AI Data Lead role at SoLo Funds?
- The compensation range for the AI Data Lead position at SoLo Funds is between $120,000 and $170,000 annually.
- Is the AI Data Lead position at SoLo Funds remote?
- Yes, SoLo Funds offers a remote workplace for this AI Data Lead position.
- What kind of data experience is most relevant for the AI Data Lead role?
- Deep fluency in the modern data stack (SQL, Python, warehousing, orchestration, BI tooling) is crucial. Experience with risk and fraud analytics, particularly in fintech, lending, or payments, is also highly valued for the AI Data Lead role.
- Does SoLo Funds offer benefits for the AI Data Lead position?
- Yes, SoLo Funds provides a remote workplace, unlimited vacation policy, full healthcare benefits, and a 401K plan for the AI Data Lead.
- What is unique about the AI Data Lead role at SoLo Funds?
- This AI Data Lead role is unique because it focuses on operating AI agents as the primary workforce, rather than managing people. You'll use your judgment as the control layer over AI-driven data operations.
- What kind of AI experience is needed for the AI Data Lead position?
- Hands-on experience directing AI agents or LLM-based workflows in production is required. It's important to show you can move beyond experimentation to real-world application for the AI Data Lead role.
- What are the core responsibilities of the AI Data Lead at SoLo Funds?
- The core responsibilities include owning data science, analysis, BI, risk, fraud, and data engineering, leveraging AI agents. You'll design agent workflows, ensure data quality, and translate business questions into actionable insights.