Delivery Lead - AI-Enabled Products

Storyteller; United States; Remote; USD 35,000 - 43,000; Full time

Job summary

Storyteller is a remote-first, AI-driven B2B SaaS company serving sports, media and entertainment brands with a scalable platform including native iOS, Android and Web SDKs, analytics and advertising support.

You will own end-to-end client delivery for major sports accounts, coordinating with Product, Engineering, Design and Support, and guiding junior teammates while ensuring reliable operation and continual improvement of AI-enabled services in production.

Qualifications

• 4+ years in implementation, product operations, technical account management, client delivery or similar.
• Ability to weigh client impact against quality, cost and speed amid incomplete information.
• Practical AI fluency and ability to apply AI-enabled workflows in production.

Responsibilities

• Take products and initiatives from an ambiguous brief through configuration, onboarding, testing, rollout and adoption to reliable day-to-day operation.
• Turn messy requests into a plan with owners, dependencies, risks and a definition of done.
• Own AI-enabled services after launch, including prompts, inputs, outputs, dependencies and reviews.
• Lead junior team members and drive delivery with clear communication.
• Use AI tools for investigation, analysis, documentation, QA and reporting.

Skills

Implementation experience

Product operations

Technical account management

Client delivery

Job description

Up to EUR 35,000 per year, on a full time, contractor contract

Fully remote working anywhere in Tunisia!

Exciting high growth product, relied on by leading global brands, particularly within sports

Modern stack, great tooling, AI-first engineering culture

ABOUT US

Storyteller is a high-growth B2B SaaS company that helps leading sports, media and entertainment brands create and deliver engaging content experiences across theirowneddigital products. Our platform includes native iOS, Android and Web SDKs, publishing tools,analyticsand advertising support.

We are remote-first, product-ledand highly focused on execution. We value ownership, direct communication, soundjudgmentand people who improve the way work gets done rather than accepting recurring friction.

About The Role

Client-facing products and AI-enabled services don't stop at being built. Someone has to implement them with the client, run them reliably, fix what breaks and keep improving them. That's this role.

You’ll be given an outcome - a major sports client’s product roadmap, a new client-facing product, an AI-enabled service that has to run every day - and you’ll own it end toend:plan, people, delivery, operation, improvement.You’llwork across clients, Product, Engineering, Design and Support, andyou’lldirect a small number of more junior team members.

You’re not writing the core product code. You are expected to understand the product and its environment well enough to investigate problems yourself, make sound delivery decisions and explain trade-offs to a client without hiding behind internal complexity.

This is a hands-on role.You’llpersonally drive the important work, not just track it.

What You’ll Do

• Take products and initiatives from an ambiguous brief through configuration, onboarding, testing, rollout and adoption to reliable day-to-day operation.
• Turn messy requests into a plan with owners, dependencies, risks and a definition of done - then run it: brief people, follow up, remove blockers, make the calls.
• Own AI-enabled services after launch. Know the prompts, inputs, outputs, dependencies and human review steps, and build the checks that catch weak output and drift before the client does.
• Investigate before you escape. Reproduce the issue, check configuration and expected behaviour, assess impact, and hand Engineering a well-framed problem rather than a forwarded email.
• Keep clients confident - clear on progress, honest about uncertainty and constraints - and turn what you learn in delivery into requirements Product and Engineering can act on.
• Lead more junior team members: give them context, standards and direct feedback, and expand their ownership as they earn it.
• Use AI tools throughout (investigation, analysis, documentation, QA, reporting) while staying responsible for validating the result, and leave behind playbooks, checklists and automation so each cycle is stronger than the last.

What We’re Looking For

• 4+ years in implementation, product operations, technical account management, client delivery or similar - and you’ve personally taken work from ambiguity to a real outcome, not coordinated someone else doing it.
• Good decisions with incomplete information. You find the evidence that matters, weigh client impact against quality, cost and speed, and change course when the facts change.
• Technical enough to reason about APIs, SDKs, integrations, configuration and data without being an engineer.
• Practical AI fluency. You understand how an AI-enabled workflow behaves in production - prompts, inputs, failure modes, review - not just how to use a chatbot.
• You can direct people and hold a standard, and you know the difference between activity and results.
• You don’t wait for a perfect brief or a meeting invite to make progress.
• Detail at pace. You spot missing ownership, weak evidence and work that isn’t ready.

Useful But Not Required

• Operated an AI workflow, automation or platform after launch (quality, monitoring, cost, support).
• Implemented SaaS or developer-facing products: APIs, SDKs, CMS, UAT, analytics.
• Sport, media, live events or ad-tech background.
• Remote startup or scale-up experience where the process didn’t exist yet.

What This Isn’t

Not a project-management role that lives in the tracker, not a relationship-only account role, and not an engineering role. Ownership doesn’t end when a ticket is escalated.

RECRUITMENT PROCESS

• Short call focused on your experience, operating judgment and use of AI.
• Practical (paid) take-home exercise based on a realistic product-delivery and AI-operations problem. AI use is expected; we will want to understand what you accepted, changed, checked and rejected.
• Interview with a team member to discuss your examples, decisions and task approach.

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