Digital Native Community, Social & Creator Growth Internship

Scalar Field is building the agentic trading desk for the next operating system of markets.

We believe the future of trading will not be defined by static dashboards, fragmented tools, or manual workflows. It will be defined by agents that can research markets, analyze data, test hypotheses, monitor events, rebalance portfolios, and execute strategies in real time.

Scalar Field is an agentic trading platform that lets users go from idea to backtest to live portfolio in one place. Users can create financial agents that study market data, parse filings, track sentiment, monitor news, test strategies, and trigger trades when specific conditions are met.

The long-term vision is to make agentic ETFs possible: portfolios created, managed, and rebalanced by agents around any idea, narrative, event, or market signal.

We are founded by people who have spent their careers at the intersection of finance and technology. Our founding team brings experience from trading, quant finance, and engineering teams at firms including Tower Research, Goldman Sachs, and Microsoft.

We are building for a world where agents do not just assist traders and investors, but actively participate in the market infrastructure itself.

If you are excited about AI agents, financial markets, trading systems, data infrastructure, and building products that can change how people interact with markets, Scalar Field is the place to build.

We are early, ambitious, and moving fast. The work is hard, the problems are deep, and the opportunity is massive.

Scalar Field is infrastructure for the agentic trading era.

Role: Growth (GTM) Intern - Digital Native / Community & Social Growth

Location: Remote

Duration: 8–12 weeks, extendable based on performance

Commitment: 10–15 hours/week minimum

Compensation: Unpaid internship. certificates, recommendations, and possible paid/full-time opportunity for high performers.

About Scalar Field

Founded by a team of quantitative and AI innovators, Scalar Field is a Y Combinator-backed financial technology company introducing the world’s first agentic AI trading desk. Built for the next generation of market infrastructure, the platform allows investors and traders to build, verify, and deploy autonomous AI trading agents entirely through natural language.

Scalar Field closes the loop between a market hypothesis and live execution, integrating seamlessly via secure APIs with leading brokerages like Robinhood and Public. With unified execution across equities, options, prediction markets, and pre-IPO assets, Scalar Field eliminates the technical bottlenecks of traditional algorithmic coding to democratize institutional-grade investing.

For more information, visitscalarfield.io or follow the team on X at @scalar_field_

Role Overview

We are looking for digital-native Growth (GTM) Interns who live on the internet and understand how communities, creators, short-form content, and social conversations actually grow.

You will help Scalar Field grow across Discord, Reddit, X/Twitter, LinkedIn, Instagram, YouTube Shorts, creator communities, student groups, and trading/investing circles.

The ideal candidate is curious about AI, trading, investing, memes, internet culture, and startup growth. You should be comfortable experimenting, posting, engaging, making reels, researching communities, reaching out to creators, and learning what converts attention into users.

Key Responsibilities

Discord & Community Management

• Help manage and grow Scalar Field’s Discord community.
• Start conversations around AI agents, agentic trading, trading strategies, market events, and backtesting.
• Welcome new members, answer basic questions, and collect feedback.
• Run community activities such as strategy challenges, polls, AMAs, and product walkthrough discussions.

Reddit Growth & Organic Discussions

• Identify relevant Reddit communities across AI agents, trading, investing, retail finance, algorithmic trading, and fintech.
• Participate in a credible, non-spammy way.
• Create Reddit-native posts around agentic trading, AI trading agents, backtesting, broker-connected agents, and retail trading infrastructure.
• Build Reddit karma and community trust before posting promotional content.

X/Twitter & LinkedIn Growth

• Track conversations around AI agents, trading, fintech launches, hedge fund strategies, and retail investor behavior.
• Draft sharp posts, replies, quote posts, threads, and founder-led content ideas.
• Engage with creators, traders, students, investors, AI builders, and fintech communities.

Instagram Reels, YouTube Shorts & Short-Form Content

• Create reel/shorts concepts, scripts, hooks, captions, and shot-by-shot formats.
• Use AI tools, CapCut, Canva, Figma, or similar tools to create lightweight videos and screen recordings.
• Turn product walkthroughs into short-form content.
• Study viral finance, AI, startup, and Gen Z content formats and adapt them for Scalar Field.

Creator, Influencer & Student Outreach

• Find US-based trading educators, investing clubs, finance creators, newsletters, YouTube channels, and Discord owners.
• Reach out for shoutouts, product walkthroughs, affiliate partnerships, student trials, and community demos.
• Maintain outreach trackers with contact details, status, follow-ups, and outcomes.

What We Are Looking For

• Digital native with strong understanding of Reddit, Discord, X/Twitter, Instagram, YouTube Shorts, memes, and internet communities.
• Good writing instincts for hooks, replies, posts, captions, comments, outreach DMs, and short-form scripts.
• Strong community judgment and ability to avoid spammy promotion.
• Ability to create or coordinate reels, screen recordings, short videos, memes, and basic visuals.
• Interest in AI, trading, investing, and startup growth.
• High ownership and ability to figure things out independently.

This internship is designed as a learning-first, execution-heavy growth program.

At Scalar Field, we’re building the technical infrastructure for agentic trading: a platform where users can describe market ideas in natural language, turn them into research workflows, backtests, trading agents, and eventually live broker-connected strategies.

Our product sits at the intersection of AI agents, financial data infrastructure, backtesting systems, and real-time market workflows. The core technical challenge is not just building another chat interface — it is building a reliable agentic execution layer for markets.

We work on problems such as:

• Turning natural-language strategy ideas into structured research, code, and executable trading logic
• Running AI-generated analysis and backtests safely in isolated compute environments
• Connecting large financial datasets across equities, options, filings, fundamentals, macro data, sentiment, institutional holdings, and market events
• Building long-running autonomous agents that can monitor markets, reason over fresh data, and produce actionable outputs
• Designing infrastructure for reproducible strategy testing, portfolio tracking, and broker-connected execution
• Making complex financial workflows feel simple, fast, and intuitive for traders, investors, and builders

Our stack includes Python, FastAPI, React, PostgreSQL, Redis/Dragonfly, Docker, Kubernetes/EKS, Jupyter-based execution environments, and modern LLM APIs. We care deeply about reliability, latency, data quality, observability, and safe execution because financial workflows require precision.

The engineering culture is product-heavy and ownership-driven. Engineers at Scalar Field work close to the user, ship end-to-end features, and solve problems across AI, data systems, backend infrastructure, frontend UX, and financial engineering. If you enjoy building technically ambitious products from first principles, Scalar Field is the place to do that.

We will have one round of interview with the founders, post which we will share the details.