Venture Capital Associate

micro1; India; À distance; INR 5 238 000 - 9 167 000; Temps partiel

Résumé du poste

micro1 seeks a Venture Capital Associate contractor to support a dataset-building project that captures authentic VC workflows and sharpens AI training with real-world input. No AI background required; your domain expertise in venture evaluation matters.

You will design VC tasks, analyze startups, build financial models, and craft IC memoranda, while collaborating to refine rubrics and document best practices in modern VC decision-making.

Qualifications

• 3–6+ years of venture capital, growth equity, or equivalent deal evaluation experience.
• MBA or Master’s in Finance or equivalent advanced degree.
• Direct experience crafting IC memos and performing diligence.
• Proven ability to conduct market sizing and competitive analysis under ambiguity.
• Strong written communication and analytical reasoning.

Responsabilités

• Design and author project tasks reflecting authentic VC workflows: deal screening, TAM/SAM/SOM sizing, competitive analysis, founder evaluation, and IC memo drafting.
• Analyze early-stage and growth startups across financials, product-market fit, opportunities, competition and team quality for partner-level rigor.
• Construct and interpret financial projections, cap tables, and scenario analyses for early-stage companies.
• Provide qualitative feedback on AI-generated content: pattern-matching, market sizing, and mirroring real VC judgment.
• Collaborate with project leads to calibrate evaluation rubrics and identify content gaps across sectors and stages.
• Document methodologies and standardize best practices reflecting modern VC analysis and decision-making.

Connaissances

Deal evaluation

Market sizing

Financial analysis

IC memos

Written communication

Analytical reasoning

Formation

MBA or Master’s in Finance

Wharton or top-tier programs

Description du poste

Role Title: Venture Capital Associate

Role Type: Contractor

Location: Remote

micro1 is engaging Venture Capital Associates to contribute to a groundbreaking project focused on building datasets that capture the nuanced workflows of modern venture capital. In this role, you’ll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.

Scope of Work

1. Design and author project tasks that reflect authentic VC workflows, including deal screening, market sizing (TAM/SAM/SOM), competitive analysis, founder evaluation, and investment committee (IC) memorandum drafting.
2. Analyze early-stage and growth startups across financials, product-market fit, market opportunities, competitive positioning, and team effectiveness with the rigor and depth expected at partner meetings.
3. Construct and interpret financial projections, cap tables, and scenario analyses for early-stage companies.
4. Assess and provide qualitative feedback on AI-generated content, evaluating pattern-matching, market sizing, and how well outputs mirror real-world VC judgment.
5. Collaborate with project leads to calibrate evaluation rubrics, refine task complexity, and identify content gaps across sectors and company stages.
6. Document methodologies and standardize best practices that reflect modern VC analysis and decision-making processes.

Preferred Qualifications

1. 3–6+ years of experience at a venture capital, growth equity firm, or as an operator/founder with significant deal evaluation exposure.
2. MBA, Master’s in Finance, or equivalent advanced degree; graduates of Wharton or other top-tier programs strongly welcomed.
3. Direct experience crafting IC memos and performing diligence on deals reviewed by investment partners.
4. Proven ability to conduct market sizing, founder assessment, and competitive landscape analysis under ambiguity.
5. Exceptional written communication skills, demonstrated by concise, precise, and analytical documentation at a professional or IC-memo standard.
6. Strong analytical reasoning, especially in situations with incomplete or ambiguous data.
7. Experience working across various company stages (pre-seed to growth) and across multiple sectors is a plus.