02Zero2Launch

Careers

Build the systems that take enterprises AI-native

We're a distributed team shipping AI into the core of real businesses. If you do your best work close to the problem and own outcomes end to end, you'll fit right in.

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Why Zero2Launch

Work that's worth your time

Operators, not juniors

No junior bench, no body-shopping. You work alongside people who've shipped AI in production at scale.

Remote-first, every timezone

Work from where you do your best thinking. We're built around async by default and real overlap when it counts.

Ownership, not tickets

You own problems and outcomes, not a queue. Small teams, short paths from idea to production.

Real AI, in production

Agents, RAG, evals, automation, shipped to real users at real companies, not demos that never leave the lab.

How hiring works

A clear, respectful process

Five steps, no black box. You'll always know where you stand and what's next.

  1. 01

    Apply

    Send your details and a link to your work. We read every application, no black-box keyword filter.

  2. 02

    Intro call

    A 30-minute conversation about your experience, what you want next, and how we work.

  3. 03

    Skills deep-dive

    A practical, role-specific session, real problems, no gotcha puzzles. We value how you think.

  4. 04

    Team interviews

    Meet the people you'd work with. Two-way by design: your questions matter as much as ours.

  5. 05

    Offer

    References, an offer, and a clear picture of comp, scope, and your first 90 days.

Open roles

Find your seat

6 open roles

  • Design and ship production AI systems, agents, RAG pipelines, and automations, wired into real enterprise stacks.

    What you'll do

    • Build agentic and retrieval-augmented systems that run in production, not just demos.
    • Own features end to end: design, implementation, evaluation, and rollout.
    • Integrate AI into clients' existing data and software stacks.
    • Set the bar for quality with evals, observability, and guardrails.

    What we look for

    • 5+ years building and shipping production software; 2+ working with LLMs or ML systems.
    • Strong Python and/or TypeScript; comfortable across the stack.
    • Experience with RAG, agent frameworks, or model fine-tuning.
    • A bias for shipping and a high bar for reliability.
    Apply for this role

  • Translate enterprise problems into AI products that move real numbers, from opportunity to production.

    What you'll do

    • Partner with clients to find where AI creates measurable advantage.
    • Define roadmaps and ROI models, then drive them to shipped outcomes.
    • Work shoulder-to-shoulder with engineering and design on delivery.
    • Own adoption: make sure what we build actually gets used.

    What we look for

    • 5+ years in product, ideally with technical or data-heavy products.
    • Fluency with AI capabilities and their real limits.
    • Track record of shipping products that drove business results.
    • Excellent written communication for an async, distributed team.
    Apply for this role

  • Design intuitive interfaces for AI-powered products, making complex, probabilistic systems feel simple and trustworthy.

    What you'll do

    • Design end-to-end experiences for AI products, from concept to ship.
    • Make agentic and AI-assisted workflows legible and trustworthy.
    • Build and maintain design systems that scale across client work.
    • Partner closely with engineering to ship pixel-true.

    What we look for

    • 4+ years designing digital products with a strong portfolio.
    • Mastery of modern design tooling (Figma) and interaction design.
    • Experience designing for data-rich or AI products a strong plus.
    • Comfort working directly with clients and engineers.
    Apply for this role

  • Build the platform that lets us ship and operate AI reliably, pipelines, evals, observability, and cost control.

    What you'll do

    • Build data and model pipelines that are reproducible and observable.
    • Stand up evaluation and monitoring so quality is measurable in production.
    • Optimize inference cost, latency, and reliability across model providers.
    • Create the reusable platform other engineers build on.

    What we look for

    • 4+ years in platform, data, or ML infrastructure roles.
    • Strong with cloud infrastructure, containers, and CI/CD.
    • Experience with model serving, evals, or observability tooling.
    • Pragmatic, reliability-minded, and automation-first.
    Apply for this role

  • Be the bridge between enterprise leaders and our delivery teams, scoping AI transformations and seeing them through.

    What you'll do

    • Run discovery with enterprise leaders to scope high-value AI work.
    • Shape proposals, ROI cases, and engagement plans.
    • Partner with delivery to keep scope honest and outcomes on track.
    • Build trusted, long-term relationships with clients.

    What we look for

    • 6+ years in consulting, solutions, or technical pre-sales.
    • Genuine fluency in enterprise AI, able to earn a CTO's trust.
    • Strong commercial instincts and executive communication.
    • Comfortable owning outcomes in ambiguity.
    Apply for this role

  • Keep delivery humming across a distributed team, process, quality, and the operating rhythm that compounds.

    What you'll do

    • Run the operating cadence across distributed delivery teams.
    • Own quality, governance, and delivery standards.
    • Remove blockers and keep engagements on time and on budget.
    • Build the systems that let the team scale without losing the standard.

    What we look for

    • 4+ years in operations, delivery, or program management.
    • Experience with distributed, multi-timezone teams.
    • Sharp organizational and communication skills.
    • Calm under pressure; relentless about follow-through.
    Apply for this role

Don't see the perfect role?

We're always glad to meet talented people. Tell us how you'd make an impact.

Apply for future roles