Director of Operations Flowerburst LLC · Full-time, remote

About Flowerburst We are the fastest growing and most disruptive business in publishing since Amazon.

Publishing is broken: more than 80 percent of Americans feel they have a book in them, and only about 1 percent ever publish it. There are three middle men between the author and end customer, and there simply isn’t enough margin for any party to invest in marketing.

Success on self-publishing platforms like Amazon KDP is even more elusive – they leave authors marketing blind and without cashflow: Amazon KDP doesn't show authors who their customers are and where they came from, and pay 60+ days after a sale is made. The result is centuries of gatekeeping in which the best ideas rarely reach the people who need them, dying on shelves in the back of bookstores, undiscovered. We are building the company that fixes this: an AI publishing platform fused with social, direct-to-consumer commerce. Social commerce allows authors to place books in the heart of culture – social media feeds – to get discovered, even by audiences who typically don’t read books. The flywheel is already turning and validation has been immediate. In under 12 months since prototype launch, we’ve grown to $7.5M ARR (GMV run rate), and we are one of the top book sellers on social commerce platforms like TikTok Shop; we operate our own publishing imprints, and a creator/affiliate program of hundreds of active creators. We are AI-native by design. Parts of daily operations already run on agent workflows, and our operating model pushes every repeatable process toward supervised automation — the bar here is not “comfortable with AI,” it is “builds with AI as a first resort.” It is a design-and-build-the-machine job, and you will operate as a true partner to the CEO. Flowerburst runs on a written Ops Execution Framework: roughly 60 recurring SOPs across four storefront brands, each with a designated priority, an SLA, and a defined escalation path — covering customer support, returns and refunds, marketplace compliance and appeals,



supplier and fulfillment reconciliation, and creator/sample operations. Every SOP moves through three stages: the Director owns and documents it → an analyst runs it independently → a supervised AI workflow runs it. Build and manage a lean offshore team. you will hire, train, and performance-manage additional lean offshore hires as the automation roadmap demands — owning SLAs, quality, and escalation paths.

P0, SLA-bound work: customer-facing platform support chats, returns/refunds, violation and shop-performance-score appeals — the work that directly gates revenue and shop health.
Supplier and financial hygiene: credit reconciliation with distributors and 3PLs, defective-goods claims, chargeback appeals.
Creator and sample operations: sample approvals, eligibility configuration, target-collaboration invitations, creator communications.
Vendor and partner management: publisher wholesale accounts, distributor relationships, 3PL selection.
KPI dashboards, weekly ops sync with the CEO, error and violation logs.
Net-new SOPs: when a new channel, partner, product line, or recurring problem appears, you design the process from zero — write the SOP, set its priority and SLA, run it yourself until it is stable, then drive it down the waterfall to the analyst and to an AI workflow.
Partner sourcing and selection: as fulfillment scales, you field offers from 3PLs, run structured evaluations (pricing, SLAs, test shipments, references), negotiate terms, and pick the winners — and you do the same for new print and publishing partners as we release our own titles.
New platform integration: when we enter a new marketplace or social-commerce channel,



you stand up operations end to end — account setup, catalog and inventory integration, fulfillment routing, platform compliance — then codify it into SOPs the team and agents can run without you.

5+ years in operations, including 2+ years leading ops for an e-commerce or marketplace business (TikTok Shop, Amazon, Shopify, or Temu seller-side experience strongly preferred).
~ Demonstrably AI-fluent: you use LLMs daily, you have personally built automated workflows (LLM agents, n8n/Make/Zapier, scripts), and you can show them.
~ Experienced building and managing distributed or offshore teams with real accountability structures.
~ Fluent written and spoken English (C1+).

How we work — read this before applying We are a startup in compounding growth, and we set expectations explicitly because fit matters more than anything else. The pace is faster and the hours are longer than a corporate job: this is more than 9-to-5, priorities shift, and things are chaotic relative to a big company — especially during launches, seasonal peaks, and incidents. In exchange, long hours and strong output are rewarded through real performance incentives, a direct working relationship with the CEO, genuine ownership of a function, and work on something meaningful that is growing fast. One hard requirement: your workday starts at 9:00 AM US Pacific (San Francisco) time aligned to US business hours.

Compensation Competitive monthly base benchmarked to your region, plus a quarterly performance incentive plan tied to operational KPIs. Full-time, long-term engagement.

Application, CV, and a short Loom video: introduce yourself, answer a couple prepared question, and walk through one AI or automation workflow you personally built.
# Working session with the CEO: live problem-solving on a real Flowerburst ops scenario.
# Paid trial project (compensated take-home).
# Expectations alignment review: we walk through our operating norms in writing and both sides sign off before an offer.
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📌 Policy Operations Specialist (Ciudad de México)
🏢 Flowerburst
📍 Ciudad de México