Tech Lead — Leaping AI

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Tech Lead — Leaping AI

David Joseph & Company

220,000–250,000 / Year

Location

San Francisco, California, United States

Experience

Senior

Posted

Jul 14, 2026

Apply by

August 10, 2026

Applicants

0

Early applicantEasy applyFull-timeWork from Office

Job Description

# Leaping AI — Tech Lead Type: Full-time | On-site | San Francisco, CA Compensation: $220,000–$250,000 + 0.5%–1% equity Hiring count: 1 Visa sponsorship: None available Reports to: CTO ## About Leaping AI Leaping AI (YC W25) is a voice AI platform that automates customer support and appointment scheduling calls across verticals including home improvement / remodeling, real estate, airlines, healthcare, and insurance, with a current focus on the home improvement industry. The company closed a $4.7M seed round and has doubled ARR in the first half of the year, targeting another 2x in the second half. Team members are split between Europe and San Francisco. Founded: 2023 | Team size: 1–10 (Seed) | Total funding: $4.7M seed Industry: AI Tools / Voice AI Website: leapingai.com Office: San Francisco (California Street) ## Why Candidates Should Join - CTO-track role: Framed as a CTO-like next hire to alleviate the CTO in day-to-day engineering leadership — described as one of the most important hires of the year. - High-growth traction: Doubled ARR in H1 and targeting another 2x in H2, on a $4.7M YC W25 seed. - Ownership + hands-on: Final say on prioritization and architecture while still contributing code 20–30% of the time. ## Intake Call Summary - Not provided in the Contrario role page. Request from Contrario if an intake transcript exists. ## The Role Lead the day-to-day running of a four-person engineering team (which includes the CTO) as a hands-on tech lead — owning architecture, prioritization, and engineering process while continuing to write code. ### What You'll Be Doing - Manage the engineering team on a day-to-day basis - Guide the team on architectural decisions - Have final say on task prioritization - Review code and RFCs - Set up engineering best practices and processes - Act as a strong liaison and sparring partner to decision makers within the company (CEO, CTO, Director of Sales, Head of CS) - Contribute to the code base yourself (20–30% of your time) Tech stack: Full-stack applications, cloud / software architecture, LLMs. (No specific languages or frameworks named on the role page.) ## Requirements - In-person SF, Mon-Fri, 8am to 7pm - 6+ years engineering experience, most recent role as staff engineer, tech lead, or engineering manager - Hands-on engineering team management experience required - Full-stack and cloud/software architecture depth, including LLMs - Conversational or voice AI company experience a strong plus ## Green Flags - Startup pedigree at high-caliber fintech or developer-tools companies - Previous tech lead or engineering management at a conversational AI company - CTO-level thinking paired with hands-on execution ## Red Flags - Pure big-tech or low-urgency engineering background - Management-only profile with minimal coding - Not comfortable with the in-person schedule - Needs a defined playbook or heavy process support to operate ## Details - Location: San Francisco, CA - Work policy: In-person, Mon–Fri, 8am–7pm - Compensation: $220,000–$250,000 + equity - Visa sponsorship: None available - Employment type: Full-time ## Screening Questions - None provided in the Contrario role page. ## Interview Process Stage 1 — Pending Approval — Candidates awaiting initial approval. Stage 2 — Initial Interview Stage 3 — Technical Interview Stage 4 — Onsite Interview Stage 5 — Offer Extended Stage 6 — Hired — Candidate accepts and starts. ## Ideal Companies & Backgrounds Updated: not dated on the role page High-caliber fintech / dev-tools / infra — Brex, Stripe, Mercury, Plaid, Retool, Temporal, Modal, Linear, Notion ## Ideal Candidate Profiles For reference only — do not source these specific profiles. Marked "DO NOT CONTACT" on the role page. - Devin Otway - Jonah Kaplan - Ashmeet Singh Rekhi - Blake McCartin - David Miron - Kathryn Selberis - Akshit Khurana

Key Responsibilities

  • Manage the engineering team on a day-to-day basis
  • Guide the team on architectural decisions
  • Have final say on task prioritization
  • Review code and RFCs
  • Set up engineering best practices and processes
  • Act as a liaison and sparring partner to decision makers
  • Contribute to the code base 20–30% of the time

Skills Required

Full-stack developmentCloud architectureSoftware architectureLLMsEngineering team managementLeadershipCommunicationDecision makingConversational AIVoice AIStartup pedigreeCTO-level thinking

Benefits

  • Equity

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