Klarity — Staff AI Frontend Engineer

DavidJoseph&Co

  • San Francisco, California
  • 18 days ago

    Highlights

    Salary$250,000–$315,000EquityCompetitive (unspecified %)On-site policyIn-person 5 days/week, downtown SFVisa sponsorshipNo general sponsorship; H-1B transfers for exceptional candidates onlyEmployment typeFull-timeLocationSan Francisco, CA. Stage 2 — Application Review Stage 3 — Referrals Review Stage 4 — Inbound App Review Stage 5 — Initial Screen Stage 6 — Technical Screen Stage 7 — AI & Product Screen Stage 8 — Executive Alignment Stage 9 — Onsite Stage 10 — Offer Stage 11 — Hired — Candidate accepts and starts.

    Numbers & Facts

    LocationSan Francisco, California

    Description

    Klarity — Staff AI Frontend Engineer

    Type: Full-time | On-site | San Francisco, CA Compensation: $250,000–$315,000 + competitive equity Hiring count: 2 Visa sponsorship: No general sponsorship; H-1B transfers for exceptional candidates only Reports to: Not specified (tight founding team)

    About Klarity

    Klarity builds AI for AI transformation, tackling the problem that 95% of enterprise AI pilots fail. It deploys AI companion agents that passively observe how teams work (with full human consent), build a context graph of how the entire company operates, and use that graph to drive measurable improvement. ServiceNow mapped 900+ processes in 9 days with Klarity; DoorDash captured 3,800+ finance operations in 14 weeks. Customers include Google, OpenAI, Stripe, DoorDash, JLL, Moody's, Monzo Bank, and McKesson.

    Founded: 2017 | Team size: see flag (body says 9; company field says 51-200) | Total funding: $91M (post-Series B) Industry: AI Tools Website: klarity.ai Office: San Francisco, CA (downtown, 23rd floor)

    Why Candidates Should Join

    • One of the hardest frontend surfaces in enterprise AI: real-time WebRTC companion agents, generative dashboards over enterprise context graphs, and agentic chat that operates the web app itself.
    • Tiny, elite team with marquee logos: Google, OpenAI, Stripe, and DoorDash as customers; 8-figure revenue; 7x'd in the last fiscal year and still accelerating.
    • Ship at AI speeds and define the frontend SDLC: work directly with the founding team and help set how the company scales code review and SDLC with agents.
    • Strong comp + full benefits: $250K–$315K base, competitive equity, 100% employer-paid medical/dental/vision, relocation support to SF.

    Intake Call Summary

    • Not available in the role page — Contrario shows an Intake Video only, with no transcript or written summary. Request the transcript or notes from David if needed for scoring.

    The Role

    A Staff AI Frontend Engineer sitting at the intersection of product design and frontend engineering — an engineer first, with design sensibility that elevates everything built. Defines and implements the look and feel of AI-native enterprise workflows, making complex tools feel as intuitive as the best consumer apps.

    What You'll Be Doing

    • Architect scalable frontend systems: reusable component libraries, state-management and API-integration patterns, bundle optimization, performance at scale
    • Own and ship the primary user-facing features end-to-end, from React components through API integration to production polish
    • Bridge AI capabilities with elegant UX; partner with product and backend to expose power while hiding complexity
    • Build complex frontend systems including real-time WebRTC streaming for the companion agent, generative dashboards, and agentic chat that operates the product itself
    • Use AI tools to rapidly prototype design concepts in code — working demos instead of static mocks
    • Help define how the team scales code review and SDLC with agents that encode architectural thinking

    Tech stack: React, Next.js, TypeScript, Tailwind; WebRTC; Python backend (occasional cross-stack)

    Requirements

    • 6+ years frontend, Senior to Staff level
    • React, Next.js, TypeScript, Tailwind mastery
    • Ships multiple features per day with AI tooling
    • High agency, ex-founder or comparable
    • Engineer first, designer by instinct
    • SF in-person, 5 days a week
    • Clear ownership signal — not pure big-co tenure (e.g. Google LinkedIn Netflix) without it

    Green Flags

    • Prior founder, founding engineer, or major scope ownership at a real startup.
    • Articulates what changed in their stack in the last three months. Mentions Open Claw, Hermes, Claude Dispatch, or comparable unprompted.
    • Has shipped real-time complex frontend systems, WebRTC streaming, generative UI, or comparable.
    • Engineer first with real design taste.

    Red Flags

    • Wants to be mentored or nurtured.
    • Says "Cursor has gotten better" when asked what changed in their stack recently.
    • Long commute from South Bay or extended relocation timeline.

    Role Details

    Salary$250,000–$315,000EquityCompetitive (unspecified %)On-site policyIn-person 5 days/week, downtown SFVisa sponsorshipNo general sponsorship; H-1B transfers for exceptional candidates onlyEmployment typeFull-timeLocationSan Francisco, CA

    Benefits & perks: Competitive equity on top of cash; 100% employer-paid medical/dental/vision; paid parental leave; $500 annual learning fund; $100 monthly wellness fund; 401k via Betterment; relocation support to the SF Bay Area; pre-tax parking and transit; daily curated meals in office; free snacks/drinks; onsite gym; bike storage.

    Screening Questions

    • Not provided on the role page.

    Interview Process

    Stage 1 — Pending Approval — Candidates awaiting initial approval. Stage 2 — Application ReviewStage 3 — Referrals ReviewStage 4 — Inbound App ReviewStage 5 — Initial ScreenStage 6 — Technical ScreenStage 7 — AI & Product ScreenStage 8 — Executive AlignmentStage 9 — OnsiteStage 10 — OfferStage 11 — Hired — Candidate accepts and starts.

    (Durations not provided on the role page. Early stages reflect Contrario/pipeline review steps rather than candidate-facing interviews.)

    Ideal Companies & Backgrounds

    • Not provided on the role page.

    Ideal Candidate Profiles

    • Not provided on the role page.

    Rejected Candidate Feedback

    • None yet.

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