Hire and collaborate like a serious product team

Outcomes

• Build responsive, data-heavy views with disciplined component structure.
• Profile and improve bundle size, rerenders, and chart layouts.
• Maintain UX consistency across explorer, analytics, and wallet flows.

Baseline

• ·Strong React and Next.js App Router experience.
• ·Fluency in modern CSS (Tailwind) and accessibility basics.
• ·Portfolio or prior work on analytics or dashboard products.

Outcomes

• Own sourcing and first screens for engineering roles.
• Coordinate async technical steps with the core team.
• Improve job descriptions and candidate experience continuously.

Baseline

• ·Experience hiring for senior IC and Web3 roles.
• ·Enough technical fluency to run credible intro calls.
• ·Process-minded: clear SLAs, feedback, and no ghosting.

Outcomes

• Implement and harden Polkadot/Substrate RPC usage (extensions, signing, queries).
• Own features from API to UI where on-chain state is the source of truth.
• Partner with subnet teams on data contracts and reliability expectations.

Baseline

• ·Professional TypeScript and solid React patterns.
• ·Prior shipping experience with wallets, explorers, or chain indexing.
• ·Comfortable reasoning about reorgs, caching, and stale reads.

Plus: Direct work on Polkadot.js, polkadot-api, or similar stacks.

Outcomes

• Design streaming and polling strategies that minimize stale reads without overloading RPC nodes.
• Own backpressure, reconnect logic, and graceful degradation when feeds lag or fail.
• Instrument latency and freshness SLOs so operators trust what they see on screen.

Baseline

• ·Experience building event-driven or streaming systems in production (WebSockets, SSE, or similar).
• ·Strong TypeScript and comfort profiling hot paths in browser and Node runtimes.
• ·Practical understanding of distributed clocks, ordering, and eventual consistency.

Plus: Background with blockchain indexers, mempool watchers, or exchange-grade tick data.

Outcomes

• Maintain CI/CD, preview environments, and production deploys for the Next.js application.
• Own monitoring, alerting, and incident response playbooks for APIs and edge caches.
• Harden secrets, backups, and cost controls across cloud and managed data services.

Baseline

• ·Production experience with containerized or serverless deployments and IaC basics.
• ·Comfort with observability stacks (metrics, logs, traces) and on-call discipline.
• ·Security-minded defaults: least privilege, rotation, and audit-friendly changes.

Plus: Experience operating Redis, MongoDB, or edge-hosted APIs at moderate scale.

Outcomes

• Build reliable pipelines for ingesting, validating, and refreshing subnet and validator datasets.
• Expand test automation and smoke checks that catch regressions before they reach mainnet users.
• Script internal tooling for support, migrations, and one-off operator requests.

Baseline

• ·Strong scripting in TypeScript or Python with clear error handling and idempotency.
• ·Experience designing schedulers, job queues, or workflow engines used by a product team.
• ·Habit of documenting runbooks and making failures loud, actionable, and rare.

Plus: Familiarity with GitHub Actions, cron at scale, or data-quality frameworks.

Outcomes

• Write crisp PRDs and acceptance criteria for explorer, analytics, and wallet experiences.
• Run discovery with validators, subnet owners, and power users; synthesize feedback into priorities.
• Partner with engineering on sequencing, scope cuts, and measurable launch criteria.

Baseline

• ·Track record shipping technical products in B2B, devtools, or infrastructure domains.
• ·Enough engineering fluency to estimate effort and review API or UI prototypes credibly.
• ·Clear written communication and comfort saying no with rationale.

Plus: Exposure to Web3, staking, or incentive-driven networks.

Outcomes

• Design tool-using agents that query chain state, rankings, and history with verifiable citations.
• Define guardrails, eval suites, and fallbacks so agents fail safely when data is missing or ambiguous.
• Ship narrow, high-trust features (alerts, summaries, triage) behind explicit quality budgets.

Baseline

• ·Shipped LLM-backed or agentic features in production with eval and monitoring discipline.
• ·Strong TypeScript or Python; comfortable integrating models with internal APIs and auth.
• ·Skeptical mindset: prefer checkable answers over persuasive prose.

Plus: Experience with function calling, multi-step planners, or operator-facing copilots.

Outcomes

• Design embedding pipelines, chunking strategies, and refresh jobs for evolving subnet and docs corpora.
• Operate vector stores with filtering, hybrid search, and cost-aware indexing at production scale.
• Measure retrieval quality (recall, latency, hallucination rate) and iterate with product and agent teams.

Baseline

• ·Hands-on experience with vector databases and RAG systems in production.
• ·Solid understanding of embeddings, re-ranking, and metadata-aware retrieval patterns.
• ·Comfort owning data hygiene: deduplication, versioning, and PII or secrets exclusion.

Plus: Background with Pinecone, pgvector, Qdrant, Weaviate, or similar stacks.