Our recruitment agency is supporting an international B2B SaaS company in the search for a Tech Lead to join a team developing an AI-driven solution for automated video processing. The client works with large global partners, including major organizations in the sports industry. The team is building a platform that enables brands to integrate short-form video content directly into their digital products, increasing engagement and retention. A key focus area is an AI-powered tool that automatically converts long-form videos into short, platform-ready clips, identifies key moments, and generates optimal crops and aspect ratios for each channel. The product is actively used by enterprise customers and is entering a phase of rapid scaling.moments and produce the right crops for each channel, enabling much higher publishing volume. Responsibilities: Own outcomes, not just tickets * Lead a squad of 2–4 engineers (mix of senior/junior) to deliver measurable product impact * Set clear goals and success metrics (e.g., latency/reliability/adoption), break work into small, reversible slices, and ship on a steady cadence
Design and build production systems * Architect and implement .NET services/APIs with SQL Server for a multi‑tenant B2B SaaS platform * Make pragmatic trade‑offs: idempotent writes, rate limiting, caching/ETag, indexing and query shaping, back‑pressure, and failure‑mode handling
Operate what you build * Instrument services with logs/metrics/traces; hold the line on p95/p99 performance and availability SLOs * Run incident reviews that produce systemic fixes and documentation (runbooks, dashboards) Prioritise for the business * artner with PM/Design/Customer teams to translate goals into scope; cut or resequence work when data changes * Keep stakeholders aligned with concise updates, risks, and owner/dates
Create clarity and accountability * Set explicit expectations with your reports; give direct feedback; follow through with support and check‑ins * Use lightweight mechanisms—PR templates, decision records, checklists — to make accountability routine
Grow people and the codebase * Mentor engineers via pairing, reviews, and 1:1s; create growth plans and celebrate momentum. * Keep standards high: tests where they matter, clear interfaces, and intentional debt management.
Leverage AI effectively * Use AI assistants to accelerate boilerplate and documentation, and verify outputs with tests and metrics. * Help the team adopt safe practices (no secrets, anonymised data, prompt discipline, simple evals).
Collaborate across the product suite * Work with the iOS/Android/Web SDK teams to ensure that backend APIs and contracts are stable, well-documented, and easy to integrate. * Support enterprise client integrations (often in sport), balancing reliability with delivery speed.
Hire and onboard * Contribute to interviews and rubrics; onboard new teammates with clear goals, docs, and a first‑week win.
Qualifications: * 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/rollbacks * Experience across media/SaaS, SDKs, or high‑throughput event ingestion * C# / .NET expertise: strong experience with modern .NET (.NET 8+), building and operating Web APIs; comfortable with Minimal APIs or controllers * SQL 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 shaping a high-impact engineering function and working on advanced AI-driven video technology, we’d be happy to discuss the role further.
