Open Application at Hamster (San Francisco, CA)

Hamster· San Francisco, CA·1d ago

Role details

Work type

Onsite

Employment

Full-Time

Job description

If your skillset doesn't match our current open roles, please do fire through your details. We'll let you know when something relevant comes up.

Culture: “Special Forces Only”—seeks highly productive individuals who thrive in a fast-paced, AI-native environment. Values include autonomy, accountability, attention to detail, mastery, and work-life balance.
Work policy: In-person in San Francisco for most roles; hybrid option available for some positions (e.g., Senior JavaScript Engineer listed as Hybrid).
Compensation: $150K – $250K plus early-stage equity for technical roles.
Engineering culture: Uses Hamster to build Hamster; ships to customers multiple times a day. No sprints, no story points, no grooming—focus on briefs and rapid delivery. Modern stack: Next.js, NestJS, Supabase, GCP, Cloudflare, AI/ML tools.
Impact: Join a small, high-leverage team shaping the next generation of product development workflows.

One-liner: Hamster is an AI-native product planning workspace that enables teams to align on direction and let AI agents execute delivery.
Entity Type: Private (stage not publicly disclosed; likely early-stage with equity compensation)
Headquarters: San Francisco, California, USA
Founded: 2024
Founders: Names not publicly disclosed (company led by experienced product delivery veterans)

Primary industry: AI-native software development lifecycle / Product engineering
Target customers: B2B – product teams, engineering teams, and enterprise organizations using AI coding tools
Mission / purpose: Keep teams aligned so AI can deliver the right thing, faster.

Hamster (Workspace): AI-powered product planning platform where humans and AI teammates share context, align on briefs, and ship together. Integrates with issue trackers, coding agents (Claude Code, Cursor, Copilot, etc.), and supports two-way sync.
Taskmaster (Open-Source CLI): Free, open-source CLI for AI-assisted task management. Generates structured plans with acceptance criteria for coding agents. 1.5M+ downloads, 25K+ GitHub stars.

Valuation / Market Cap: Not disclosed
Key Metric: Taskmaster has 1.5M+ downloads and 25K+ GitHub stars; Hamster is used by teams at Lenovo, SAP, Salesforce, Dell, Accenture, Hearst, and FICO
Notable Investors / Partners: Not publicly announced
Growth Signals: Claims 7x faster delivery speed for users; shipping to customers multiple times a day; rapidly expanding integrations and features (Cloud Agents, Routines, Goals, Blueprints)

AI-native by design: Built from the ground up for teams where both humans and AI agents are first-class participants, unlike legacy tools retrofitted with AI.
Shared context (Context Graph): Captures reasoning, decisions, and team knowledge so every coding agent works from the same understanding – reducing misalignment.
Works with any AI coding tool: Integrates via CLI and MCP server with Claude Code, Cursor, GitHub Copilot, Windsurf, Cline, and many others.
Open-source credibility: Taskmaster proved the concept at scale (1.5M downloads) and drove industry adoption of planning modes.

Scaling from single-developer planning (Taskmaster) to multi-team, enterprise-aligned product delivery.
Building the “Direction, Discovery, Delivery, Knowledge” framework to turn briefs into shipped features with minimal ceremony.
Expanding enterprise features (roles, audit, workspace topology) and deepening integrations with existing project management ecosystems.

Sources