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Product & AI Delivery Lead
Contract type
Freelance
Work mode
Remote · Tunisia
Experience
Mid-level · 4+ years
Job description
Client-facing implementation and operations role at a B2B SaaS company, owning delivery of products and AI-enabled services for major sports clients end to end. The role spans planning, rollout, day-to-day operation and improvement, and includes directing a small number of junior team members.
At a glance
- Employment
- Full-time · Independent contractor
- Work mode
- Remote · Tunisia
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 checks that catch weak output and drift before the client does
- Investigate before escalating: reproduce the issue, check configuration and expected behaviour, assess impact, and hand Engineering a well-framed problem
- Keep clients confident – clear on progress, honest about uncertainty and constraints – and turn delivery learnings 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 validating the result, and leave behind playbooks, checklists and automation
What we're looking for
- 4+ years in implementation, product operations, technical account management, client delivery or similar, with personal experience taking work from ambiguity to a real outcome
- Good decisions with incomplete information: find the evidence that matters, weigh client impact against quality, cost and speed, and change course when facts change
- Technical enough to reason about APIs, SDKs, integrations, configuration and data without being an engineer
- Practical AI fluency: understand how an AI-enabled workflow behaves in production — prompts, inputs, failure modes, review
- Can direct people and hold a standard, and know the difference between activity and results
- Don't wait for a perfect brief or a meeting invite to make progress
- Detail at pace: spot missing ownership, weak evidence and work that isn't ready
Nice to have
- 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
How to get hired
- 1Short call focused on your experience, operating judgment and use of AI
- 2Practical (paid) take-home exercise based on a realistic product-delivery and AI-operations problem; AI use is expected and we will want to understand what you accepted, changed, checked and rejected
- 3Interview with a team member to discuss your examples, decisions and task approach
Apply
About Storyteller
High-growth B2B SaaS for engaging content experiences
Storyteller is a high-growth B2B SaaS company that helps leading sports, media and entertainment brands create and deliver engaging content experiences across their owned digital products. Its platform includes native iOS, Android and Web SDKs, publishing tools, analytics and advertising support. The company is remote-first, product-led and highly focused on execution.
Key facts
- B2B SaaS
- Remote-first, product-led and highly focused on execution
- Platform includes native iOS, Android and Web SDKs, publishing tools, analytics and advertising support
- Relied on by leading global brands, particularly within sports
- AI-first engineering culture
What they value
- Ownership
- Direct communication
- Sound judgment
- Improving the way work gets done rather than accepting recurring friction