Skip to content
CV Rocket
Get started
How it worksThe enginePricingBlogContactSign in

Open nowPosted 4 hours ago

Tech Lead

Enumerate2 open roles

Pay
$3,500 – $4,500 a month
Where
Latin America - Remote
Work mode
Remote
Get the CV for this job

From $25 per CV, paid once. No subscription.

Your applicationOpen nowTech LeadEnumerate · Latin America - Remote

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Enumerate's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

13.1% of postings close within 7 days. Measured by our own scanner across the market. Enumerate postings stay open a median of 33 days.

Share of postings closed within
  1. 2.2%1 day
  2. 4.7%3 days
  3. 13.1%7 days
  4. 21.1%14 days
  5. 35.8%30 days
  6. 59.0%60 days
This job: posted 4 hours ago

Enumerate median: 33 days open

The posting

The Tech Lead is responsible for translating product ideas and data science capabilities into production-ready AI solutions. This role partners closely with Product Management and the Data Science Leader to rapidly design, prototype, and ship AI-driven features that deliver measurable business value. This is a highly hands-on technical leadership role focused on speed, pragmatism, and production quality, balancing experimentation with scalable engineering practices.

This is a remote opportunity. We are seeking contractors located in LATAM who are comfortable working in an English-speaking professional environment.

Key Responsibilities

AI Solution Delivery & Architecture

  • Lead the technical design and implementation of AI-powered product features from concept through production.
  • Own end-to-end architecture for AI solutions, including data flows, model integration, APIs, and application integration.
  • Make pragmatic decisions to accelerate delivery while maintaining system integrity.
  • Ensure AI solutions are secure, observable, scalable, and aligned with platform standards.

Pod Leadership & Execution

  • Act as the technical lead for a cross-functional AI Pod.
  • Break down product requirements into executable technical workstreams and prototypes.
  • Guide rapid iteration cycles, proofs-of-concept, and MVPs, balancing experimentation with production readiness.
  • Review code, architecture, and technical decisions to maintain quality and velocity.

Product & Data Collaboration

  • Partner closely with Product Management to shape problem definitions, success metrics, and delivery plans.
  • Collaborate with the Data Science Leader to integrate models, analytics, and data assets into product workflows.
  • Translate data science outputs into consumable APIs, services, and product features.
  • Provide technical feedback on feasibility, scope, and tradeoffs during product discovery.

Operationalization & Quality

  • Ensure features are production-grade, including monitoring, logging, and performance tracking.
  • Implement guardrails around AI usage, including reliability, latency, cost controls, and failure modes.
  • Support experimentation frameworks, A/B testing, and post-launch learning loops.
  • Drive responsible AI practices, including explainability, bias awareness, and data privacy considerations.

Technical Standards & Enablement

  • Define and enforce lightweight engineering standards for AI-enabled systems.
  • Promote reuse of components, prompts, pipelines, and services across AI initiatives.
  • Mentor pod engineers on AI-adjacent system design and best practices.
  • Contribute to internal documentation and shared AI patterns/playbooks.

Required Qualifications

  • BS or MS in Computer Science, Engineering, or related technical field.
  • 5+ years of software engineering experience, including leading complex systems.
  • Strong experience designing and building production APIs and backend services.
  • Proficiency in Python and at least one backend language (e.g., Java, Node.js, Go).
  • Experience with cloud-native architectures (AWS, GCP, or Azure).
  • Solid understanding of data pipelines, model serving, and system observability.
  • Ability to work closely with product teams in fast-moving, iterative environments.

Preferred Qualifications

  • Experience working in AI-first or data-driven product teams.
  • Familiarity with modern LLM platforms, prompt engineering, and agent frameworks.
  • Experience operationalizing ML models (model serving, monitoring, versioning).
  • Exposure to experimentation platforms, feature flags, and A/B testing.
  • Experience in Agile or product-led development environments.

Total monthly compensation:

$3,500—$4,500 USD

From $25, paid onceGet the CV for this job

What happens when you press

One press. We do the rest.

  1. A CV for this posting

    Written against Enumerate's own wording, from every piece of relevant proof in your profile.

  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.

  3. We apply on Enumerate's form

    Our application engine gets through the hardest forms there are. Where a question needs you, AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

    An application in CV Rocket: every answer filled in on the employer's form.

  4. Every reply, sorted

    Enumerate's answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

    The CV Rocket inbox: each employer reply classified as an interview, an action or a rejection.

  5. Reply with AI

    AI helps you write the email, checks it and sends it. We show you whether the recruiter read it.

  6. The interview in your calendar

    Full integration with your calendar. The invitation goes straight in.

    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
Get the CV for this job

From $25 per CV, paid once. No subscription.

Why it works

3×

more interviews than doing it yourself with ChatGPT.

ChatGPT writes a CV and never learns what happened to it. We see every reply. For each CV we know:

  • How it was written, and how the review scored it
  • When we applied, and how long after the posting went up
  • Which posting, which company, which city
  • Who got the interview, and who heard nothing

That is how we know which CVs get called.

Get the CV for this job

From $25 per CV, paid once. No subscription.

The numbers game

More applications. More interviews.

Every application goes out with its own CV, written for that posting and paid once. Send enough of them and the law of large numbers finds you the job.

Get the CV for this job
By hand5–10
With CV Rocket100
applications a day

Nearby

Live postings like this one

Same employer first, then the same role elsewhere.

Before you press

Straight answers

Get the CV for this job

From $25 per CV, paid once. No subscription.

What if my background isn't good enough?

We make the most of the background you have. The CV uses every piece of relevant proof your profile holds, and one of the 25 readers reads your whole profile and flags what the CV left out.

Do you really apply for me?

Yes, on the employer's own form, the hardest ones included. Where a question needs you, you answer it right there and AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

Is it a subscription?

No. You pay once per CV, from $25. Every application goes out with its own CV, written for that posting.

One job. One CV.
Paid once.

Pick the posting you want. We write for it, apply for you and catch the reply.

Get the CV for this job

From $25 per CV, paid once. No subscription.