AI-Forward Data Lead (Agent Operator)
SoLo Funds · United States
- Hybrid
- Full-time
- $170,000 / year
- United States
Tailored resume — keyword-matched to this role.
Hiring manager — we find who's hiring.
Intro email — drafted to reach them directly.
Job highlights
- Lead AI agents for data operations.
- Own data science, BI, risk, and engineering.
- Design AI workflows and evaluation systems.
- Analyze transaction and behavioral data.
- Remote role with competitive compensation.
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
Compensation Range
$120K - $170K
Key skills/competency
- AI Data Lead
- Data Science
- Risk Analytics
- Fraud Detection
- Business Intelligence
- Data Engineering
- SQL
- Python
- LLM Workflows
- Fintech
Skills & topics
- AI Data Lead
- Data Science
- Risk Analytics
- Fraud Detection
- Business Intelligence
- Data Engineering
- SQL
- Python
- Fintech
- LLM
How to get hired
- Tailor your resume: Highlight experience with AI agents, LLMs, and the modern data stack (SQL, Python). Emphasize risk and fraud analytics in fintech.
- Showcase builder-operator mindset: Demonstrate your ability to get more done through agents than headcount. Provide examples of directing AI workflows in production.
- Quantify your impact: Use data to show how you've improved risk detection, fraud prevention, or driven data-informed decisions.
- Research SoLo Funds: Understand their mission of financial autonomy and their AI-forward approach. Prepare to discuss your judgment on automation vs. human intervention.
Technical preparation
Master SQL and Python for data manipulation.,Practice directing AI agents or LLM workflows.,Build dashboards with BI tooling.,Understand risk/fraud analytics concepts.
Behavioral questions
Describe a time you used AI to solve a problem.,How do you balance automation with human judgment?,Give an example of owning a project end-to-end.,How do you translate business needs into data questions?
Frequently asked questions
- What is the primary focus of the AI-Forward Data Lead role at SoLo Funds?
- The AI-Forward Data Lead role at SoLo Funds focuses on operating and directing AI agents to manage data science, analysis, business intelligence, risk, and data engineering across the company's ecosystem, rather than managing a traditional team of people.
- What technical skills are essential for the AI-Forward Data Lead position at SoLo Funds?
- Essential technical skills include deep fluency in SQL, Python, warehousing, orchestration, and BI tooling. Experience directing AI agents or LLM-based workflows in production is also crucial.
- What kind of experience is preferred for an 'All Star Fit' candidate for the AI Data Lead role?
- An 'All Star Fit' candidate would have experience with credit scoring or alternative underwriting, a background in consumer fintech or marketplaces, and a track record of building evaluation or observability systems for ML or agent pipelines.
- How does SoLo Funds leverage AI in this Data Lead role?
- SoLo Funds leverages AI by having the Data Lead manage a team of AI agents to perform tasks like production analysis, model monitoring, pipeline maintenance, and anomaly detection, with the lead acting as the control layer and providing judgment.
- What are the key responsibilities of the AI-Forward Data Lead at SoLo Funds?
- Key responsibilities include turning data into actionable signals, maintaining real-time risk and fraud detection, designing AI agent workflows, ensuring data quality, and building BI dashboards for marketplace health.
- Is this AI Data Lead position at SoLo Funds remote?
- Yes, SoLo Funds offers a remote workplace for this position, along with benefits like unlimited vacation, full healthcare, and a 401K.
- What is the expected compensation for the AI-Forward Data Lead role at SoLo Funds?
- The compensation range for the AI-Forward Data Lead position at SoLo Funds is between $120,000 and $170,000 annually.