Beacons AI Senior Software Engineer
$180k - $230kDavid Joseph
Beacons AI — Senior Software Engineer Type: Full-time | Hybrid (Tue–Thu in office) | San Francisco, CA or New York City, NY Compensation: $180,000–$230,000 + competitive equity Hiring count: 1 Visa sponsorship: None available Reports to: Not specified on the role page About Beacons AI Beacons is building the easiest way for creators to build a website their fans will love — centralizing a creator's online brand presence, connecting them with audiences and partners, and helping them understand and grow their businesses. They are going after the ~$200B creator economy and aim to build the defining solution. Founded: 2019 | Team size: 11–50 | Stage: Series AIndustry: Consumer TechWebsite: beacons.aiOffice: San Francisco, CA · New York City, NY Why Candidates Should Join Real ownership: Lead and own large parts of the product from ideation to implementation, across both frontend and backend. Massive scale: Products already serve millions of page views per day and are scaling toward billions. Genuinely AI-native team: AI is the default way the team scopes, builds, and ships — not a bolt-on or a productivity hack. Intake Call Summary An intake video is present on the Contrario role page but was not transcribed; no intake-call summary is available. Pull from the video directly if needed. The Role Beacons is hiring a Senior Full-stack Engineer to lead and own large parts of the product from ideation to implementation. The role is balanced across frontend (React/TypeScript) and backend (Python/Flask), building AI-powered creator tools alongside AI PMs and ML engineers. What You'll Be Doing Build and iterate on AI-powered creator tools alongside AI PMs and ML engineers Build products that get millions of page views per day and scale them toward billions Lead frontend development with delightful UI/UX Create systems and understand how all the moving pieces interact Reach for AI tools as the default starting point: scoping, planning, spec-writing, code generation, debugging, and code review Hold a concrete point of view on what AI can and can't do in product Tech stack: TypeScript, React, Python, Flask, SQL/Postgres, Firebase Requirements 5+ years fullstack engineering TypeScript + React frontend Python backend, SQL/Postgres AI-native: Claude Code, Codex, Cursor Green Flags Already changed how they work because of AI. Can name specific shifts in their output or pace in the last 6 months. Production usage of Cursor, Copilot, Claude Code, or comparable. Has concrete opinions on where AI helps and where it breaks down. Uses LLMs beyond code generation: planning, spec-writing, debugging, code review. Prior founder or product engineering experience at a small, fast-paced startup. Has shipped high-scale products (millions of page views per day or comparable). Red Flags Still getting started with AI tooling. Team is explicit this is not the right fit yet Treats AI as a productivity hack rather than a fundamental shift in how to work. Exclusively big-tech background without startup adaptation signal. Frequent job hopping with no clear ownership or shipping story. Mainly contract or temporary work, no full-time scope history. Nice-to-Have (from the role description) Firebase experience Flask experience Prior experience at small, fast-paced startups Experience with high-scale products (millions of page views per day or comparable) Prior collaboration with AI PMs or ML engineers on AI-powered product features Customer-centric mindset with strong empathy for creators Comfort thriving in ambiguity and scoping solutions with teammates Role Details Salary$180,000–$230,000EquityCompetitive equity (4-year vest, 1-year cliff)On-site policyHybrid — Tuesday to Thursday in office; SF or NYVisa sponsorshipNone availableEmployment typeFull-timeLocationSan Francisco, CA · New York City, NY Benefits & Perks Four-year vesting schedule with one-year cliff 4 weeks paid time off plus federal holidays Platinum medical, vision, and dental insurance — 99% employer-paid premiums 401k retirement savings and investing plan Gym and professional development stipends Computer, monitor, and home office setup reimbursement Relocation assistance to SF or NY Screening Questions Required Candidate Q&A on the Contrario form. LinkedIn URL Phone Number Why are you interested in working at Beacons? How did you hear about us? Interview Process Stage 1 — Pending Approval — Candidates awaiting initial approval. Stage 2 — Application Review — Application reviewed. Stage 3 — Recruiter Intro Call — Recruiter intro call. Stage 4 — Technical Assessment — Technical assessment. Stage 5 — Hiring Manager Screen — Hiring manager screen. Stage 6 — Searchlight References — Reference checks via Searchlight. Stage 7 — Onsite — Onsite interview. Stage 8 — Offer Extended Stage 9 — Candidate Hired — Candidate accepts and starts. Ideal Companies & Backgrounds Updated June 24, 2026 Ideal Companies — Figma The "Ideal Companies" section was not expanded before the page was copied — only Figma is captured. The remaining companies are missing. Re-copy with the section expanded to capture the full list. Ideal Candidate Profiles For reference only — do not source these specific profiles. Contrario labels this list "DO NOT CONTACT." Lillian Choung Andrew Zhang Andrew Kallem Catherine Tan Dylan Dubois Roshan Choxi No LinkedIn URLs were captured in the page HTML for these profiles. Rejected Candidate Feedback None provided on the role page. #J-18808-Ljbffr David Joseph
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