Headline.com is seeking a technical investor for its San Francisco team to focus on early-stage AI infrastructure and developer tools. This unique role combines traditional venture capital sourcing and diligence with hands-on engineering. You will build proprietary data pipelines and AI-powered tools while engaging directly with world-class founders to identify the next generation of category-leading software.
Investor - AI Infrastructure and Software at Headline
Headline.com is looking for a builder-turned-investor to join their San Francisco team and shape the future of AI infrastructure. With ~$4B AUM and a portfolio featuring Mistral AI and Segment, Headline.com provides a data-driven edge through proprietary tools like EVA and ATHENA. Unlike traditional VC roles, you won't just analyze deals; you'll ship code, build sourcing automations, and conduct technical deep-dives into agentic systems. If you have 1-3 years of experience and a technical background, this is your chance to gain direct partner exposure and invest in the most consequential infrastructure shift of our generation while leveraging your engineering skills daily to find alpha.
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Location
San Francisco, United States
Compensation
Not Disclosed
Company
Headline
Role overview
Headline, formerly known as e.ventures and BV Capital, is a global, data-driven venture capital firm that invests across all stages and sectors, ranging from direct-to-consumer to deep tech and software. Founded in 1998 and headquartered in San Francisco, California, the firm operates both Early Stage and Growth Funds globally, covering regions in the US, Europe, Asia, and Latin America. Headline partners with fast-growing technology companies, leveraging its international presence and technology-driven decision-making to help founders achieve global success. Notable investments include companies such as Angie's List, Farfetch, and Bumble.
What you will do
- Source and engage over 15 founders weekly across AI infrastructure, developer tools, and agentic systems to identify breakout investment opportunities early.
- Conduct rigorous technical deep-dives and founder calls, synthesizing complex architectures into sharp, actionable investment theses for the firm's partner team.
- Develop and deploy custom AI automations, data pipelines, and market maps to improve the firm’s proprietary sourcing systems and internal deal flow.
Who this is a fit for
- Has 1–3 years of experience in high-output environments like early-stage AI startups, technical product roles, or high-velocity early-career venture capital.
- Possesses a technical degree in Computer Science, Engineering, or Math and the demonstrated ability to build and ship real-world software products.
- Is AI-native, regularly building with LLMs and modern dev workflows to evaluate model serving, vector databases, and complex orchestration frameworks effectively.
Why this role is remarkable
- Direct exposure to a ~$4B AUM global fund’s investment decisions and partners, bypassing the traditional multi-year sourcing grind often found at larger firms.
- Access to proprietary sourcing and evaluation technology like EVA and ATHENA, providing a distinct data-driven edge over traditional venture capital competitors.
- The unique opportunity to remain a builder by developing internal AI tools and automations while simultaneously shaping the future of global AI infrastructure.
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