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Staff Forward Deployed Engineer, GTM Platform

Build an AI-native platform for Upside's go-to-market teams as the first engineering hire in a startup environment.

Location
NYC
Compensation
Not disclosed
Level
staff
Type
full time

Posted by employer 2 months ago

First seen on Joblaze 2 months ago

Last verified on the company career page 4 days ago

Apply at Upside → Save job Scanned from upside.com

Skills & Technologies

AI in the day-to-day

Real experience building with LLMs and AI APIs in production, including prompt design, output evaluation, and iterating toward reliability.

Requirements

Experience
8+ years

Not disclosed in this posting: compensation, work arrangement, visa sponsorship.

Benefits

401k Match Education Budget Gym Membership Unlimited PTO Equity/Stock Options Remote Work Health Insurance Parental Leave

Joblaze summary

In this role, the Staff Forward Deployed Engineer at Upside will focus on developing an AI-native platform tailored for the company's go-to-market teams, directly addressing their operational challenges. The position requires expertise in building systems from the ground up, particularly with LLMs and AI APIs, while fostering close collaboration with revenue teams to ensure alignment with business needs. Ideal candidates will have significant engineering experience, a strong understanding of technical trade-offs, and a genuine interest in the business side of operations. This role is pivotal as it marks the initial engineering effort for a new internal platform, emphasizing rapid prototyping

Joblaze insights

  • Listed about 2 months ago — first seen on Joblaze September 3, 2026. Last confirmed on Upside's careers page November 2, 2026.
  • Python appears in 45.3% of 455 comparable staff ai/ml roles; React appears in 4.2% of 455 comparable staff ai/ml roles.

Quick facts

How much experience is required?
At least 8 years of relevant experience for this Staff Forward Deployed Engineer, GTM Platform role.
What's the tech stack?
Joblaze extracted these technologies from the posting: AI/ML, Python, React, TypeScript.
What seniority level is this role?
Upside targets staff-level candidates for this position.
Is this full-time or contract?
Full-time for this Staff Forward Deployed Engineer, GTM Platform role at Upside.

From the original posting

About the role

This is the first engineering hire on a new internal platform effort inside Upside's Revenue Operations organization. You'll be building a zero-to-one, AI-native system for our go-to-market teams; a substrate for agentic orchestration that is meant to take over the work our teams do today across cumbersome legacy tooling.

Reporting to the Sr. Director of Revenue Operations, you'll operate as a forward deployed engineer: embedded directly with the business, close to the people whose problems you're solving, and measured on outcomes rather than output. You'll sit with revenue teams, understand how they actually work, and build the systems that change it. You will define the architecture and technical direction of this platform.

We're deliberate about the title. The forward deployed model means deep business alignment, tight feedback loops, and a bias toward shipping something real. The difference here is that your users are internal: the teams that acquire merchants, serve partners, and drive Upside's revenue.

What you'll do

  • Build the first version of an AI-native platform for Upside's go-to-market teams, working across agentic orchestration, automation, and the interfaces our revenue teams use every day

  • Embed with revenue teams to learn their workflows firsthand, then design and ship systems that meaningfully change how that work gets done

  • Own technical direction. You'll make the architecture calls, choose the tools, and set the patterns this platform grows on

  • Move from prototype to production quickly, then keep iterating as AI capabilities change underneath you

  • Anchor your work to business outcomes. Success here is measured in what the platform unlocks for the business, not in tickets closed

  • Work with our security and infrastructure partners to make sure what you build is sound and supportable

  • Document decisions and tradeoffs clearly so the team that follows you can build on your work

What we're looking for

  • Staff-level engineering experience — roughly 8 years or comparable depth built through another path with a history of owning systems end to end

  • Experience taking something from zero to one: greenfield systems, early-stage products, or internal platforms you built from nothing

  • Real experience building with LLMs and AI APIs in production, including prompt design, output evaluation, and iterating toward reliability

  • Fluency with AI-assisted development tools as part of how you work, not as an experiment

  • Strong judgment about technical tradeoffs, and the ability to refactor and change direction as requirements shift

  • Genuine interest in the business side. You'll be spending time with revenue and operations teams, and curiosity about how they work is a real requirement of this role

  • The ability to work with a high degree of independence and ambiguity, and to bring stakeholders along as you go

  • Clear communication with both engineers and non-engineers

We're language agnostic. We care much more about how you solve problems, make decisions, and adapt than about which languages are on your résumé. Our current prototypes lean on React, TypeScript, and Python, but you'll have real input into what this platform is built with.

Nice to have

  • Understanding of CRM and revenue data models — Salesforce, HubSpot, or similar. Note that this role is about building what comes after those tools, not integrating deeply with them

  • Experience as an early or founding engineer at a startup, or as the person who built an internal tooling function

  • Familiarity with retrieval-augmented generation (RAG), vector databases, and embedding-based search

  • Experience in marketplace or high-growth environments

  • Experience with modern data platforms such as Snowflake

Benefits:

  • Medical, dental, and vision coverage starting on Day 1

  • Equity (ISOs)

  • 401(k) program

  • Family planning programs + paid parental leave

  • Physical fitness and wellness memberships

  • Emotional and mental health support programs

  • Flexible work environment

  • Lunch reimbursement for in-office employees

  • Employee Resource Groups

  • Learning and Development stipend

  • Transparent culture

  • Amazing mission!

Standard company text repeated across Upside's postings is omitted here.

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