Bluejay — Senior Member of Technical Staff

Type: Full-time | On-site | San Francisco, CA Compensation: $225,000–$300,000 + Competitive Equity Hiring count: 1 Visa sponsorship: None available Reports to: Not specified (founders: Faraz and Rohan)

About Bluejay

Bluejay is building the simulation, observability, and self-improvement layer for Voice AI agents, with a mission to be the trust layer between AI and humanity. Founders Faraz and Rohan left Microsoft and AWS, where they built critical infrastructure for MSFT Copilot and AWS Bedrock. Voice is the hardest modality for AI, and Bluejay builds the simulation, observability, and evaluation infrastructure to make voice the default medium between humans and technology.

In just one year, Google, DoorDash, public healthcare companies, public banks, most drive-through fast-food chains, and corporations across five continents have adopted Bluejay. It handles millions of calls a month, which creates hard, real-time engineering problems.

Founded: 2025 | Team size: ~10 | Total funding: $4M seed (2025) Investors: Floodgate, PeakXV, Y Combinator Industry: AI Tools / Voice AI infrastructure Website: getbluejay.ai Office: The Sky, Union Square, San Francisco

Why Candidates Should Join

• Real traction, tiny team: ~10 people, seven-figure revenue, millions of calls/month, and marquee customers (Google, DoorDash, public banks) within a year of founding.
• Founder pedigree: Ex-Microsoft (Copilot) and AWS (Bedrock) infrastructure engineers.
• Hard real-time problems at scale: Voice is the hardest AI modality; you own the simulation/eval infrastructure behind real-time conversation at massive scale.
• Full ownership: High-bar IC/lead role with end-to-end technical ownership on a small team.

Intake Call Summary

• None provided on the role page.

The Role

Architect and develop systems that simulate, analyze, and evaluate conversational AI agents across voice and multimodal systems, and design resilient, scalable AWS infrastructure to handle millions of real-time conversations. High-bar, full-ownership role on a tiny team; also customer-facing.

What You'll Be Doing

• Architecting and developing simulation, analysis, and evaluation systems for conversational AI (voice and multimodal)
• Building resilient, scalable AWS infrastructure (Lambda, EC2, Websockets, SIP) for millions of real-time conversations
• Building algorithms and pipelines that surface insights, detect failure modes, and keep agents safe and aligned
• Leading the technical execution of projects end to end, with full ownership
• Working on-site with customers to build, sell, and deploy the product

Tech stack: Backend — Python, FastAPI, Supabase, Redis, heavy AWS, Websockets, CI/CD. Voice AI — LiveKit, Deepgram, Cartesia, ElevenLabs, Gemini, and similar. DevX — ultra-customized Claude Code, optimized dev setup (skills, MCP integrations, worktrees, heavy task parallelization). Observability — Sentry, PostHog, Grafana, Datadog.

Requirements

• 6+ YOE, senior
• Full-stack: DBs, AWS, AI engineering
• Voice AI stack (LiveKit, Deepgram, etc.)
• Built high-traffic systems at scale
• Exceptional signal: strong bachelor's and/or a top fast-growing startup background (Mercor is a target company)
• Strong communicator, customer-facing
• SF, 5 days in person, 9-7

Green Flags

• Has handled immense scale as an IC or senior SWE
• Technical lead experience owning projects end to end
• Super opinionated about design with deep systems intuition and a highly optimized dev workflow
• Strong, personable communicator comfortable in front of customers

Red Flags

• Cannot work fully on-site in SF at a 9-7, 5-day cadence
• Needs visa sponsorship or a transfer (not available)
• Weak communicator or not comfortable being customer-facing
• No experience building at real scale, or unable to lead technical execution independently

Role Details

• Salary — $225,000–$300,000
• Equity — Competitive
• On-site policy — 5 days/week in person, SF (9-7)
• Visa sponsorship — None available
• Employment type — Full-time
• Location — San Francisco, CA

Benefits & Perks

• Health insurance
• 401(k)
• Gym membership comped if you go 5+ times per month
• Free lunch
• Union Square office (The Sky) and a customer list of the largest companies in the world

Screening Questions

• None provided on the role page.

Interview Process

Stage 1 — Pending Approval — Candidates awaiting initial approval. Stage 2 — Intro Call Stage 3 — System Design — Review Bluejay's technical interview preparation guide: https://getbluejay.ai/careers/technical-interview-preparation Stage 4 — Live Project Coding Stage 5 — Work Trial Stage 6 — Offer Extended Stage 7 — Hired — Candidate accepts and starts.