Capital Solutions Manager (Data OS, Insight OS)

Setpoint • Austin, TX

5d • $140,000 - $160,000 • Hybrid

About The Position

Behind many of life’s most important transactions — buying a house, applying for a mortgage, getting a small business loan, or refinancing a credit card — is a network of credit relationships. Setpoint provides critical operational infrastructure for relationships between the world’s largest banks, credit funds and capital markets counterparties. We’re building trust in this system of credit.
We’re looking for a Capital Solutions Manager to join our team and serve as the bridge between our clients and our engineering organization. You’ll take ownership of live client portfolios across Data OS and Insight OS, our data management and analytics platforms.
This isn’t a back-office analytics role. You’ll be client-facing from day one, owning deal relationships, translating complex structured finance requirements into engineering specs, and ensuring that every dashboard, data pipeline, and export meets institutional-grade standards.
This is an opportunity to be an early owner of a fast-growing product lines (Data OS and Insight OS) at a fast-growing platform. You’ll be a co-owner of creating tech solutions for lenders and borrowers in asset backed credit. We have a strong ethos of promoting from within, and you'll be given ample opportunities for career development and advancement.
Who will love this job
You’re a doer: You own outcomes and set the pace.
You’re a clear communicator: You can work effectively across credit, product, and engineering teams.
You thrive in ambiguity: You can take a problem and run end-to-end without a playbook.
You’re frustrated by the status quo: You’ve seen how much of structured finance still runs on spreadsheets and want to fix it.
You’re hands-on across domains: You can parse a borrowing base certificate and translate it into clear requirements for engineering.
You’re detail-obsessed: You catch data inconsistencies others miss and care deeply about accuracy.
You’re curious: You’re excited about how AI and automation are transforming financial operations.

Requirements

• 3–6 years in private credit, asset-backed lending, or structured finance. You’ve worked with loan tapes, servicer reports, borrowing base certificates, or compliance packages — not just in theory, but hands-on. Experience across multiple asset classes (consumer, auto, fund finance, CRE) is a strong plus.
• Demonstrated client management experience. You’ve owned client relationships — running calls, managing expectations, resolving issues — in a professional services, advisory, or platform context. You’re comfortable being the face of the company to institutional investors and lenders.
• Strong analytical and data skills. Expert-level Excel is baseline. Comfort with SQL, Python, data pipelines, or business intelligence tools (Metabase, Tableau, etc.) is highly valued. You don’t need to write production code, but you should be able to read a data schema, trace a metric back to its source field, and spot when something doesn’t add up.
• Experience writing technical specifications or engineering handoff documents. You’ve translated business requirements into structured artifacts — field mappings, data dictionaries, logic definitions, or acceptance criteria — that a technical team can execute against.
• Comfort with AI/LLM tooling and automation. You don’t need to be an AI engineer, but you should be excited about using AI-assisted workflows to accelerate data analysis, quality checks, and specification writing. Familiarity with prompt engineering or AI copilot tools is a plus.
• Team supervision experience. You’ve managed or coordinated the work of junior analysts, offshore teams, or cross-functional workstreams. You can set priorities, review deliverables, and maintain quality without micromanaging.
• Ability to operate independently in ambiguous environments. You can take a vague client request, figure out what’s actually needed, scope the work, and deliver — without someone laying out every step. You handle tight timelines and competing priorities without losing quality.

Responsibilities

• Own client portfolios end-to-end. Serve as the primary point of contact for assigned clients across Data OS and Insight OS — managing onboarding, success, and supporting growth.
• Translate our customer’s structured finance needs for Engineering. Act as the bridge between our clients and our product/engineering organization for Data OS and Insight OS. Define what needs to be built, flag what may be custom work, write the specs, review the output, and validate that dashboards and data pipelines match analytical intent.
• Own the accuracy of Setpoint’s data layer across your assigned portfolio. Lead data quality assessments on incoming loan tapes and client deliverables — identifying anomalies, missing fields, and population gaps before they reach production.
• Supervise offshore implementation resources. Directly manage a team of offshore analysts supporting data ingestion, validation, and reporting workflows. Set priorities, review work product, and ensure delivery standards are met.
• Leverage AI-powered workflows and internal tooling. Use and help refine our internal AI-assisted deal workflows — from automated data quality checks to metric design and schema mapping — to accelerate delivery and improve consistency across client portfolios.
• Make us better. Contribute to product priorities, onboarding playbooks, sector templates, and process documentation that make our delivery engine repeatable as the portfolio grows.

Benefits

• competitive salaries
• stock options
• medical, dental, and vision coverage
• 401(k)
• short term and long term disability coverage
• flexible vacation

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed