Basis AI-posted 2 months ago
$100,000 - $300,000/Yr
Full-time • Senior
New York, NY
1-10 employees

As a Tech Lead on the Product Engineering team, you’ll hold the technical vision for a product surface or workflow—owning its architecture, quality, and evolution. You’ll define how we build, teach others how to build well, and ensure that every product line you touch is both robust and legible. Your focus is on technical clarity and architectural excellence: turning ambiguous product ideas into clean, scalable systems that integrate tightly with our ML stack. You’ll lead by example—through code, reviews, and crisp technical reasoning. You’ll partner with product folks, designers, and accountants to scope what matters most, then lead the technical path to get there.

  • Hold and evolve the product’s technical architecture.
  • Define and own the architecture for your product area—APIs, clients, data flows, and observability.
  • Run design and PR reviews that raise the bar for structure, performance, and maintainability.
  • Make technical trade-offs explicit; document reasoning so decisions compound over time.
  • Build interfaces and workflows that blend human input and AI reasoning seamlessly.
  • Architect APIs and services that connect product features with ML systems (retrieval, evals, context).
  • Ensure systems are instrumented—telemetry, evals, logging—so success is measurable and regressions are visible.
  • Mentor engineers on design, code quality, and system thinking through specs, pairing, and reviews.
  • Model clear technical writing—every doc, PR, and review should improve how the team thinks.
  • Partner with cross-functional teams to translate business context into simple, testable technical plans.
  • 5+ years of full-stack or product engineering experience; open to exceptional candidates with varied backgrounds.
  • Strong foundations in API design, front-end systems, and reliable backend services.
  • Practical experience integrating LLMs or ML capabilities into product workflows.
  • Deep comfort reasoning about product architecture, data flows, and system design trade-offs.
  • Proven ability to turn ambiguous product goals into clean, iterative engineering plans.
  • Excellent written and verbal communication; your specs and PRs are models of clarity.
  • Experience with TypeScript/React, Python, and Postgres.
  • Familiarity with evaluation frameworks, telemetry, and instrumentation.
  • Exposure to accounting, finance, or other workflow-heavy domains.
  • Prior experience in high-velocity environments (startups or similar).
  • A bias toward simplicity, clarity, and architectural legibility.
  • Eligible to participate in equity plan and benefits program.
  • Meritocratic and competitive compensation.
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