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.
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 * Partner 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 our 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:
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/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 building AI-driven content intelligence systems and leading high-impact engineering teams, we’d be happy to discuss this opportunity with you.
