Fulfil is a technical founder-led, bootstrapped company in our 11th year of operations. We're a small team of exceptional engineers powering millions of orders for brands like HexClad, Ridge Wallet, and Caraway. No bureaucracy. No endless meetings. You'll lead a team that ships fast and talks directly to merchants.
At a large company, EMs are people managers disconnected from the product. Here, you'll be technical, close to customers, and see your team's work impact merchants processing millions of orders.
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The Team
Commerce Core owns order management, inventory, purchasing, fulfillment, and warehouse management. The north star: orders flow without human intervention.
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A Typical Week
Monday
: Sprint planning. A major merchant is launching a new product line. Prioritize accordingly.
Tuesday
: 1:1s. One engineer just shipped a feature processing 50K orders/day -- recognize the win. Another wants to lead the allocation project -- plan the handoff.
Wednesday
: Call with a merchant's COO. They're growing 3x and need Fulfil to scale with them. Feed insights to the team.
Thursday
: Interview a strong candidate. Debrief. Extend an offer.
Friday
: Roadmap review with Product Lead. Plan Q2 -- inventory forecasting, automated reordering, capacity planning.
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7+ years building software
2+ years managing engineers (not just tech leading)
Technical depth -- you can review code and discuss architecture
You've built teams: hired, grown, retained engineers
You make decisions and own outcomes
You shield your team from noise
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Tech Stack
Python, PostgreSQL, Redis, Celery, RabbitMQ, SQLAlchemy, Kubernetes, pytest, Claude Code, etc.
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Hiring Process (We move fast)
Initial interview
-- How you've built teams
Technical round
-- You still need to go deep
Interview loop
-- Leadership scenarios, bar raiser
Bootcamp
-- Yes, managers also start in Product Support to learn how merchants use Fulfil
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Our Approach to AI
What We Do
Leverage LLMs (OpenAI API, Claude API) to
embed AI-driven capabilities into Fulfil's ERP
, powering natural language interfaces, intelligent automation, and merchant-facing insights (e.g., Fulfil x MCP integrations with Claude).
Focus on
AI for commerce operations
-- integrating models to solve real problems like order management, financial analysis, customer insights, and logistics optimisation.
What We Don't
We are
not
a core ML/AI research company -- we don't train or fine-tune foundation models.
* We focus on
integration and productisation of AI
, not building new ML frameworks or developing custom model architectures.
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