Our recruitment agency is partnering with a global B2B SaaS company to hire a Tech Lead for an AI-first platform that processes, analyzes, and enriches multimedia and social content for enterprise customers, including major players in the sports and media industries.
About the Project
The platform aggregates a wide range of content sources — social media posts, podcasts, online articles, images, and videos — unifying them into a single searchable index. It enriches content with metadata such as taxonomy, sentiment, storyline links, and contextual insights extracted via AI models.
These enriched insights are then used to power downstream actions : automated reporting, conversation analysis, and content generation. The system is fully AI-enabled and is now being rolled out widely across the client’s customer base.
Qualifications : Must‑haves
- Technical leadership : you’ve led a small team (2–4 engineers) to ship production software, setting direction, unblocking work, and owning outcomes end‑to‑end
- Practical problem solving : you start from constraints and business goals, enumerate options, make trade‑offs explicit, and choose the smallest reversible step that works
- Clear, direct communication : you set crisp expectations with reports, write succinct PRs / decision records, and give kind‑but‑candid feedback that changes behaviour
- Ownership & accountability : you finish hard things, leave systems better than you found them (tests, telemetry, docs), and make accountability routine rather than personal
- Flexibility & product sense : you can cut scope to hit outcomes, re‑prioritise quickly when data changes, and keep stakeholders aligned
- Learning mindset & AI fluency : you adopt new tools fast (including AI assistants) and verify outputs with tests / metrics, respecting privacy and data safety
Nice to have :
Cloud & infra : Azure (or equivalent), CI / CD, feature flags, safe rollouts / rollbacksExperience across media / SaaS, SDKs, or high‑throughput event ingestionC# / .NET expertise : strong experience with modern .NET (.NET 8+), building and operating Web APIs; comfortable with Minimal APIs or controllersSQL Server depth : confident with schema design, indexing, query shaping, and concurrency (transactions, isolation levels, deadlocks, idempotency)Interest in sport and fan engagement (helpful, not required)If you’re excited about building AI-driven content intelligence systems and leading high-impact engineering teams, we’d be happy to discuss this opportunity with you.
Responsibilities :
Own outcomes, not just tickets
Lead a squad of 2–4 engineers (mix of senior / junior) to deliver measurable product impactSet clear goals and success metrics (e.g., latency / reliability / adoption), break work into small, reversible slices, and ship on a steady cadenceDesign and build production systems
Architect and implement .NET services / APIs with SQL Server for a multi‑tenant B2B SaaS platformMake pragmatic trade‑offs : idempotent writes, rate limiting, caching / ETag, indexing and query shaping, back‑pressure, and failure‑mode handlingOperate what you build
Instrument services with logs / metrics / traces; hold the line on p95 / p99 performance and availability SLOsRun incident reviews that produce systemic fixes and documentation (runbooks, dashboards)Prioritise for the business
Partner with PM / Design / Customer teams to translate goals into scope; cut or resequence work when data changesKeep stakeholders aligned with concise updates, risks, and owner / datesCreate clarity and accountability
Set explicit expectations with your reports; give direct feedback; follow through with support and check‑insUse lightweight mechanisms — PR templates, decision records, checklists — to make accountability routineGrow people and the codebase
Mentor engineers via pairing, reviews, and 1 : 1s; create growth plans and celebrate momentumKeep standards high : tests where they matter, clear interfaces, and intentional debt managementLeverage AI effectively
Use AI assistants to accelerate boilerplate and documentation, and verify outputs with tests and metricsHelp the team adopt safe practices (no secrets, anonymised data, prompt discipline, simple evals)Collaborate across the product suite
Work with our iOS / Android / Web SDK teams to ensure that backend APIs and contracts are stable, well-documented, and easy to integrateSupport enterprise client integrations (often in sport), balancing reliability with delivery speedHire and onboard
Contribute to interviews and rubrics; onboard new teammates with clear goals, docs, and a first‑week winOur recruitment agency is partnering with a global B2B SaaS company to hire a Tech Lead for an AI-first platform that processes, analyzes, and enriches multimedia and social content for enterprise customers, including major players in the sports and media industries.
About the Project
The platform aggregates a wide range of content sources — social media posts, podcasts, online articles, images, and videos — unifying them into a single searchable index. It enriches content with metadata such as taxonomy, sentiment, storyline links, and contextual insights extracted via AI models.
These enriched insights are then used to power downstream actions : automated reporting, conversation analysis, and content generation. The system is fully AI-enabled and is now being rolled out widely across the client’s customer base.
Qualifications : Must‑haves
Technical leadership : you’ve led a small team (2–4 engineers) to ship production software, setting direction, unblocking work, and owning outcomes end‑to‑endPractical problem solving : you start from constraints and business goals, enumerate options, make trade‑offs explicit, and choose the smallest reversible step that worksClear, direct communication : you set crisp expectations with reports, write succinct PRs / decision records, and give kind‑but‑candid feedback that changes behaviourOwnership & accountability : you finish hard things, leave systems better than you found them (tests, telemetry, docs), and make accountability routine rather than personalFlexibility & product sense : you can cut scope to hit outcomes, re‑prioritise quickly when data changes, and keep stakeholders alignedLearning mindset & AI fluency : you adopt new tools fast (including AI assistants) and verify outputs with tests / metrics, respecting privacy and data safetyNice to have :
Cloud & infra : Azure (or equivalent), CI / CD, feature flags, safe rollouts / rollbacksExperience across media / SaaS, SDKs, or high‑throughput event ingestionC# / .NET expertise : strong experience with modern .NET (.NET 8+), building and operating Web APIs; comfortable with Minimal APIs or controllersSQL Server depth : confident with schema design, indexing, query shaping, and concurrency (transactions, isolation levels, deadlocks, idempotency)Interest in sport and fan engagement (helpful, not required)If you’re excited about building AI-driven content intelligence systems and leading high-impact engineering teams, we’d be happy to discuss this opportunity with you.
Requirements : .NET