Forward Deployed Engineer

Span getspan.com Open · verified Oct 24, 2026

Remote Buenos Aires Full-time Mid-level Software Engineering

At a glance

Mid-level Software Engineering role at Span. Remote, Argentina · full-time · $65,000–$70,000 base.

SalaryStated by Span

$65,000 – $70,000

Base salary for this role, in USD per year, as published in the posting.

RoleSoftware Engineering

SeniorityMid-level

LocationBuenos Aires

WorkplaceRemote

EmploymentFull-time

Base pay$65,000–$70,000

PostedJul 27, 2026 · 2mo ago

Role brief

techroles summary, based on the employer's posting.

What you'll do

Guide customer implementations from initial prototypes to production, learning their workflows and building solutions for their needs
Write production-grade code in TypeScript and Python, including pipeline work when customer delivery requires it
Set project scope and weigh delivery speed against quality
Convert customer feedback into product requirements and reusable approaches, then use field lessons to shape roadmap priorities
Take responsibility for customer outcomes through stable production adoption, working across product, engineering and customer success

What you bring

At least three years of engineering work on full-stack products or complex integrations in fast-moving settings
You can write production-quality code in TypeScript or JavaScript and Python
You have worked with data pipelines and ETL, and connected large language models to products or workflows
Strong written and spoken English for collaborating with US-based customers and internal teams

Who this fits

This mid-level role suits an engineer who can combine hands-on implementation with customer discussions and cross-functional work. It is remote from Buenos Aires, Argentina, and calls for English collaboration with US-based customers and internal teams.

From the employer

About Span

Span exists to help engineering organizations turn AI adoption into real effectiveness. As AI tools reshape how software gets built, the companies that continuously improve how their teams use AI in their day-to-day will pull ahead. We're the AI-native developer intelligence platform built for that moment. We're looking for people who want to shape how the next generation of high-performing engineering orgs operate.

We're a Series A company with a small, focused team that moves fast and ships things that matter. We’re proud to be helping forward-thinking orgs like Ramp, Carvana, Intercom, and OpenTable. We're honored to be backed by dozens of founders, CTOs, and CPOs we admire from Slack, Notion, Rippling, Fivetran, Coda, Adobe, and Square, as well as funds including Alt Capital, BoxGroup, Bling, Craft, and SV Angel.

About the role

Deployed Engineers at Span lead complex implementations with our customers where the stakes are high and the path forward isn't always clear. You will embed with engineering leaders at top-tier organizations to understand their unique challenges, map their workflows, and deliver solutions that create measurable impact on their developer productivity and organizational clarity.

You will work at the intersection of product, engineering, and customer success - building full-stack solutions, shaping integrations, and ensuring our platform creates real value in production environments.

You will be the voice of the customer internally, translating field learnings into product improvements and reusable patterns that benefit our entire customer base.

Success in this role means owning customer outcomes from first conversation to stable production adoption. You will balance speed with quality, technical depth with strategic thinking, and hands-on building with cross-functional leadership.

In This Role You'll

Own technical delivery across multiple customer deployments from initial prototype to production scale, embedding with customer teams to understand their workflows and build full-stack solutions that solve their specific problems.
Scope work, make pragmatic trade-offs between speed and quality, and write production-grade code across our TypeScript, Python, and data pipeline stack when delivery depends on it.
Translate customer feedback into product requirements and create reusable patterns that help the team scale, influencing roadmap priorities based on real-world deployment learnings.

You might thrive in this role if you

Bring 3+ years of engineering experience building full-stack products or complex integrations in fast-moving environments, with production-quality code in TypeScript/JavaScript and Python.
Have worked with data pipelines, ETL processes, and have integrated Large Language Models into products or workflows.
Thrive in ambiguous situations, communicate clearly with technical and non-technical stakeholders, and demonstrate ownership over customer outcomes with strong follow-through.
Have outstanding communication skills in English, both written and verbal, enabling you to collaborate effectively with US-based customers and internal teams.