# Tech Lead at Enumerate

> Remote · Latin America · Staff · Software engineering · open. Source: https://alderhq.app/jobs/greenhouse%3Aenumerate%3A4471060009 (read 2026-11-09).

## Facts (observed)

- Company: [Enumerate](https://alderhq.app/companies/enumerate)
- Location text: Latin America - Remote; Latin America - Remote
- Where it can be done from (inferred): Remote · Latin America (evidence: "Location: Latin America - Remote; Latin America - Remote")
- Posted: 2026-11-02 (7 days ago)
- First seen by alder: 2026-11-07 · last verified: 2026-11-07
- Reposted: 0 times · edited: 0 times
- Apply on the employer's site: https://job-boards.greenhouse.io/enumerate/jobs/4471060009
- Skills listed (inferred): JavaScript, Node.js, Python, Java, AWS, GCP, Azure, LLMs, Distributed systems

## Pay and sponsorship

- Posted pay: $42k–$54k per year (from the description)

## Description (the employer's text)

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

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Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/greenhouse%3Aenumerate%3A4471060009 and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.