Beacons AI — Senior Software Engineer

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.

1. LinkedIn URL
2. Phone Number
3. Why are you interested in working at Beacons?
4. 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.