Lifesight Product Lead

About :

We're an AI studio within Lifesight that rapidly builds, launches, and scales AI native products. We operate in focused weeks long build cycles to ship MVPs, validate value, and iterate quickly.

Role Summary :

What You'll Do :

- Map incumbents/workarounds; identify where AI gives a 10x edge (personalization, automation, prediction, UX).

- Prioritize ruthlessly for a 6 week MVP; maintain a lean roadmap and cut scope aggressively to hit outcomes.

Hands On AI Prototyping :

- Stand up lightweight scripts/notebooks or small services to test feasibility (Python/TypeScript + LangChain/LlamaIndex).

- Assemble RAG spikes : data scoping, chunking strategy, embeddings, vector search, context windows, eval sets.

- Create prompt/eval repos; run side by side model tests; instrument quality/latency/cost telemetry.

Product Execution :

- Drive design with low fi wireframes and clickable prototypes (Figma); specify UX for streaming and error states.

- Partner with engineers to sequence delivery; unblock daily; manage risk via spikes, flags, and phased rollouts.

- Ensure observability from day 1 (events taxonomy, funnels, cohorting); define experiment plans (A/Bs) and launch checklists.

AI Quality, Safety & Compliance :

- Define guardrails and evaluation protocols (red team prompts, refusal/citation policies, safety filters, fallbacks).

- Track AI quality signals (accuracy, coverage, helpfulness, CSAT); iterate prompts/models and retrieval strategy.

- Coordinate privacy/security reviews; ensure PII handling, data retention, and vendor usage meet studio standards.

Go to Market & Outcomes :

- Craft positioning and messaging with the marketer; align activation/onboarding to the AI

value moments.

weekly metric reviews.

- Close the loop with qualitative feedback (surveys, interviews, support/chat logs) to inform the next iteration.

Minimum Qualifications :

- 4 - 8 years in product management delivering 0 to 1 or growth iterations; startup or studio experience preferred.

- Hands on with AI : can design prompts/system instructions, wire up function/tool calling, and build quick RAG spikes.

- Working proficiency in Python, Nextjs or TypeScript for prototyping; comfortable with APIs/SDKs and basic CLI/git.

- Strong fluency with product analytics (PostHog/Mixpanel/Amplitude), events taxonomies, and

experiment design.

- Experience specifying and shipping AI powered UX (streaming, uncertainty, fallbacks, human in the loop).

- Excellent written specs, prioritization, and cross functional facilitation; bias to ship and learn.

Nice to Have :

- Knowledge of vector search (pgvector/Pinecone/Weaviate), embeddings, and retrieval strategies.

- Prompt/model evaluation tooling (Langfuse/Humanloop), LLM observability (Helicone), and OpenTelemetry.

- SQL for self serve analysis; dashboarding (Metabase/Looker); familiarity with data privacy frameworks.

- Light design skills (Figma) and comfort running user interviews and usability tests.