Market Research Internship - MBA

Auditless

30d•Remote

About The Position

Market Research Intern – AI-Powered Audit Startup Auditless | Spring 2026 | 8-10 Weeks | Remote About Auditless The audit industry is $300B and hasn't changed since the 1850s—it's built around sending people to sample transactions and issue an annual opinion. But finance is automating fast. What used to be a person modifying a ledger is now a complex system of rules, integrations, and AI. You can't send people to check that. You need a machine to check the machine. We're building a financial verification and audit platform that examines every record continuously, not a sample once a year. We start with VC funds, partnering with administrators like Carta to distribute through infrastructure our customers already use and expand from there to other segments. Think Vanta for financials. We’re a seed-stage startup (currently in stealth mode) backed by VC investors. The founding team includes seasoned entrepreneurs who have built and scaled successful companies before with experience in AI, audit, insurance and fintech. The Role in One Sentence Help the Executive Team decide which 2-3 markets Auditless should bet on for the next 3 years—your research becomes our strategy to reach $10M revenue by 2029.

Requirements

MBA Student
2-5 years consulting experience (MBB, Big 4, boutique), financial analyst or similar experience with exposure to markets research—you structure ambiguous problems
Research tenacity (comfortable with SEC filings, databases, LinkedIn sourcing)
Synthesis ability (turn 50 data points + conflicting interviews into clear recommendations)
Exploring consulting → startup transition

Nice To Haves

Technical background
Accounting expertise
Prior startup experience

Responsibilities

Size 16 segments (VC funds, RE funds, SPVs, PE) using SEC filings, DOL databases, Preqin, PitchBook
Run feasibility math: which markets can support $10M ARR with <15% market share?
Map competitive landscape, distribution partners and buyer personas
Use AI tools to verify sources, validate methodologies, and quality-check outputs
Collaborate with product/engineering team to assess build difficulty and technical requirements per segment
Conduct 30-50 interviews with fund CFOs, GPs, auditors, administrators
Score markets on pain severity, willingness to pay, sales cycle length
Validate pricing and GTM assumptions with real buyers
Present final scored ranking to CEO/COO with defendable logic
Your recommendation becomes our FY26-28 strategy