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Senior Member of Technical Staff

Atomic VC

Member Of Technical Staff

Atomic is the leading venture studio for company creation, partnering with extraordinary founders to launch businesses that reshape massive industries. We co-found companies by pairing ambitious talent with validated ideas, operational support, and early-stage capital—helping them move faster, smarter, and with greater impact.

Since 2012, Atomic has launched over 30 companies including Hims & Hers, OpenStore, Found, Bungalow, Homebound, and Replicant, generating billions in enterprise value. We have offices in Miami, NYC, and San Francisco, and a distributed team across North America.

Our latest venture, AGI Labs, is reimagining how mid-sized insurance agencies operate by applying the most advanced AI capabilities to a highly fragmented and operationally burdensome sector.

We're building the AI-native infrastructure to power the next generation of insurance services.

Mid-sized insurance agencies are drowning in manual workflows, legacy software, and administrative overhead. We see an opportunity to build an end-to-end AI automation platform that streamlines back-office operations, enhances decision-making, and unlocks growth for this underserved segment of the insurance industry.

We're backed by top-tier investors and have deep conviction in the demand from our earliest agency partners. We're building in collaboration with early adopters to test, refine, and deploy real-world vertical AI tools—and we're just getting started. This is a chance to join at the ground level, shape vertical AI workflows from 0-1, and help create something truly transformative.

As a Member of Technical Staff, you'll be a core technical contributor building high-impact systems from 0→1. You'll work closely with the founding team (and Atomic's seasoned product and recruiting support) to design, build, and ship products that define the company's technical foundation.

You'll play a deeply hands-on role in writing code, architecting systems, iterating with customers, and prototyping core products. As an early engineer, you'll set technical precedents, make key architectural decisions, and own end-to-end delivery of critical features that will shape the company's trajectory.

What You'll Be Responsible For

  • Product Development: Own critical features of the engineering roadmap, driving rapid iteration based on user feedback and business needs.
  • Agentic Automation: Build agentic browser automation that indexes pages and navigates complex portals.
  • AI Optimization: Craft precise prompting systems, fine-tune models, and develop evaluation frameworks to deliver consistent, reliable results from probabilistic systems.
  • Data Infrastructure: Architect and scale data systems that integrate first- and third-party sources to create unified, holistic customer profiles—unlocking smarter decision-making and personalization.

What We're Looking For

  • 6–8 years of engineering experience with a track record of shipping impactful products
  • Demonstrated experience in building generative AI products
  • Strong technical depth: ability to design systems, write production-quality code, and own complex technical problems end-to-end.
  • Thrives in high-autonomy environments: self-directed, comfortable with ambiguity, and energized by the opportunity to shape technical direction as an IC
  • A forward-deployed mindset: thrives on working closely with customers, going deep to understand their needs, and translating real-world problems into scalable, production-ready solutions
  • Deep interest in AI x vertical SaaS products

Full Stack & Technical Environment

  • Frontend: TypeScript, React, and Tailwind — a clean, component-driven setup with strong typing and a bias for maintainable speed.
  • Backend: A microservices-oriented architecture written primarily in TypeScript, running on Node.js with Temporal for durable workflows and orchestration.
  • Database: Postgres as our backbone — battle-tested, relational, and scalable.
  • Infrastructure: Built on Google Cloud Platform, leveraging managed services where it makes sense (Cloud Run, Cloud SQL, and Cloud Storage) to reduce operational overhead.
  • Tooling: Structured logging and observability from day one (datadog), and a growing suite of developer-focused automation.

AI: Experienced in prompting and familiarity with Evals and RL

We are focused on building a diverse and inclusive workforce. If you're excited about this role, but do not meet 100% of the qualifications listed above, we encourage you to apply.

Atomic is an Equal Opportunity Employer and considers applicants for employment without regard to race, color, religion, sex, orientation, national origin, age, disability, genetics or any other basis forbidden under federal, state, or local law.

Please review our CCPA policies here.

Vacancy posted 4 days ago
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