Jobs in Canada

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Added 1 day ago
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GTM AI Builder
Syndio
Calgary, AB
- $125,000 to $148,000 CAD / year
The market calls this role GTM Engineer, and the market version feeds the funnel: route leads, score them, wire signals between tools. We're hiring for something bigger, and the title says…
Added 1 day ago
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Country Lead Canada
Linkup
Canada
- $200,000 to $400,000 USD / year
- Full-time
…the ground, working hand-in-hand with the founders and the GTM team, splitting your time between Canada and our hubs in NYC and…
Added 1 day ago
UR
AI Infra Engineer
Urban Ridge Supplies
Toronto, ON
- Full-time
You've probably come up through a founding engineer role, an early-stage startup, or as an independent builder, ideally somewhere in data, intelligence, or crypto. You pick up new domains…
Added 4 days ago
1
Founding Enterprise Account Executive (Outbound & Growth) - Novilo
15Rock
Toronto, ON
- Full-time
…~64% and saving ~39 hours per pursuit. Now, we are hiring a Founding Enterprise Account Executive to build and scale our outbound revenue engine alongside our CEO and Product…
Added 8 days ago
Senior Full Stack Engineer
Workstream
Vancouver, BC
…workforce in their communities. We are seeking a talented Software Engineer (Full Stack) to join our growing engineering…
Added 15 days ago
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Staff Software Engineer, Frontend
Harvey
Toronto, ON
- Full-time
As a Staff Frontend Software Engineer at Harvey, you’ll play a pivotal role in shaping the foundation of our product platform while directly building user-facing features for some of the…
Added 15 days ago
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Staff Software Engineer, Backend
Harvey
Toronto, ON
- Full-time
Work eligibility: Must have valid Canadian work rights; Harvey does not currently offer visa sponsorship for this role
Added 23 days ago
S
Enterprise Sales Engineer - Strategic
Sierra
Toronto, ON
- $355,000 to $365,000 CAD / year
- Full-time
…earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s…
Added 23 days ago
S
Enterprise Sales Engineer - Majors
Sierra
Toronto, ON
- $325,000 to $335,000 CAD / year
- Full-time
…earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s…
Added 26 days ago
FA
Founding Sales Engineer
Featherless AI
Remote, Canada
- $150,000 to $190,000 CAD / year
- Full-time
- Remote
We're hiring our first Sales Engineer to pair directly with our founding Account Executive in North America. You are the technical half of a two-person deal team: the AE owns the commercial…
Added 28 days ago
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Staff Software Engineer, Frontend
Harvey
Toronto, ON
- $196,800 to $270,600 CAD / year
- Full-time
As a Staff Frontend Software Engineer at Harvey, you’ll play a pivotal role in shaping the foundation of our product platform while directly building user-facing features for some of the…
Added 29 days ago
H
Staff Software Engineer, Backend
Harvey
Toronto, ON
- $196,800 to $270,600 CAD / year
- Full-time
Work eligibility: Must have valid Canadian work rights; Harvey does not currently offer visa sponsorship for this role
Added 29 days ago
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MONTRÉAL | [HYBRID] – Middleware File Transfer Engineer
QUANTEAM - North America (RAINBOW PARTNERS Group)
Montreal, QC
- Full-time
As the founding entity of RAINBOW PARTNERS, Quanteam is a consulting firm specializing in Banking, Finance and Financial Services.
Added 1 month ago
UR
Software Engineer, Applied AI
Urban Ridge Supplies
Toronto, ON
- Full-time
SJC Media is building the AI layer for its Digital Operations. As the founding Software Engineer, Applied AI, you own that layer end-to-end: from agentic workflows, CRM integrations,…
Added 1 month ago
UR
Founding Sales Engineer
Urban Ridge Supplies
Toronto, ON
- Full-time
We're hiring our first Sales Engineer to pair directly with our founding Account Executive in North America. You are the technical half of a two-person deal team: the AE owns the commercial…
Added 1 month ago
UR
Founding Sales Engineer
Urban Ridge Supplies
Toronto, ON
- Full-time
We're hiring our first Sales Engineer to pair directly with our founding Account Executive in North America. You are the technical half of a two-person deal team: the AE owns the commercial…
Added 1 month ago
UR
Senior Software Engineer (Conductor)
Urban Ridge Supplies
Toronto, ON
- $150,000 to $200,000 CAD / year
- Full-time
As a Senior Software Engineer, you are a full-stack software engineer who works directly alongside healthcare providers to get Conductor live and to make it matter. You take a signed…
Added 1 month ago
Staff Full Stack Engineer
Workstream
Vancouver, BC
…workforce in their communities. We are seeking a talented Software Engineer (Full Stack) to join our growing engineering…
Added 2 months ago
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Senior Software Engineer (Conductor)
PocketHealth
Toronto, ON
- $150,000 to $200,000 CAD / year
- Full-time
As a Senior Software Engineer, you are a full-stack software engineer who works directly alongside healthcare providers to get Conductor live and to make it matter. You take a signed…
Added 2 months ago
Responsable technique de la mise en marché | Technical GTM Lead
TandemLaunch
Montreal, QC
Added 3 months ago
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Staff Software Engineer, Full Stack
Harvey
Toronto, ON
- $196,800 to $295,200 CAD / year
- Full-time
As a Staff Full Stack Software Engineer at Harvey, you’ll play a pivotal role in shaping the foundation of our product platform while directly building user-facing features for some of the…
Added 6 months ago
CM
Founding Engineers
Career Mentors, LLC
Remote, Canada
- $150,000 to $450,000 USD / year
- Contract
- Remote
Roles: Founding Engineer, Full Stack, Backend, Staff/Lead, SRE/Infra

No more jobs.

Urban Ridge Supplies

Founding Sales Engineer

Toronto, ON, Canada

Compensation Range: $150K - $190K · Full-time

Apply on jobs.urbanridgesupplies.com About employer

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Job details

Pay: Compensation Range: $150K - $190K
Job type: Full-time
Posting language: English
Posted: Sep 24, 2026

Original job description

About Featherless

Featherless.ai is building the world's most reliable open-model inference platform.

Backed by AMD, Airbus Ventures, 500 Global, Kickstart Ventures, HF0 Residency, Panache Ventures, and Oakseed Ventures, we're a well-funded team of researchers and engineers on a mission to democratize AI through performance and accessibility.

Our cloud provides instant access to 40,000+ open-source AI models and the research innovations powering next-generation efficiency, reliability, and model optimization.

About the Role

We're hiring our first Sales Engineer to pair directly with our founding Account Executive in North America. You are the technical half of a two-person deal team: the AE owns the commercial motion, you own the technical win.

Our buyers are developers, ML engineers, and CTOs, and they don't buy on slides. They buy when someone credible sits with them, looks at their workload, and shows them that open models on Featherless are faster, cheaper, and more reliable than what they're running today. That's your job - hands on keyboard, in the customer's stack, from first technical call through production rollout.

Because you're the first SE here, you'll build the function as you go: the demo environment, the POC playbook, the benchmark harness, the security answers, the migration guides. Every deal you win should make the next one easier to win.

If you like being the person who can actually answer the hard question in the room - and want the technical foundation of a Series A GTM engine to be yours - this is for you.

What You'll Own Immediately

Partner with the founding AE as the named technical owner on every active opportunity in North America
Run technical discovery: map each prospect's models, workloads, latency and throughput targets, spend, and constraints
Design and drive POCs and benchmarks that prove Featherless against the incumbent - closed-model APIs, another inference provider, or self-managed GPUs
Build the demo environment and reusable technical collateral that the whole GTM team sells with
Own technical objection handling end-to-end: performance, reliability, cost modeling, security, and data handling
Be the field's voice into product and engineering - you'll know what we're losing on before anyone else does

Core Responsibilities

Lead technical calls tailored to each buyer's stack: architecture reviews, live demos, and working code against their real use case
Build migration paths off closed-model APIs and onto open weights - model selection, evaluation, prompt and output parity, cutover plan
Run benchmarks and produce the throughput, latency, and cost-per-token analysis that anchors the business case the AE builds
Scope and execute POCs with clear technical success criteria, then hold the customer and us to them
Write the technical sections of proposals, RFP responses, and security questionnaires; keep a reusable answer library so we never write the same answer twice
Support onboarding and first production workloads, then hand off cleanly and stay available for expansion
Feed structured field input to product and engineering - feature gaps, model coverage requests, reliability issues, competitive intel
Build and maintain the technical assets that scale the team: demo apps, notebooks, reference architectures, integration guides, internal enablement for BDRs and future AEs
Represent Featherless technically at conferences, meetups, and developer events
Keep POC and technical-stage detail current in HubSpot so forecasting reflects technical reality, not optimism

What You Bring

3–6 years in pre-sales engineering, solutions architecture, or a forward-deployed / customer-facing engineering role - at a GPU cloud, inference provider, MLOps platform, AI/developer tooling company, or cloud infrastructure vendor
Genuinely hands-on: you write Python comfortably and build your own demos rather than requesting them
Working knowledge of modern LLM inference - serving stacks (vLLM, SGLang, TensorRT-LLM or similar), OpenAI-compatible APIs, quantization, LoRA and fine-tune serving, batching and KV cache behavior, and what actually drives tokens/sec and cost
Practical familiarity with the open-model ecosystem: Hugging Face, the major open weight families, and how teams evaluate one model against another
Comfortable with containers, Kubernetes, and cloud networking and security fundamentals
Credible with both audiences in the same meeting - the ML engineer who wants the numbers and the CTO who wants the risk and cost story
Strong written communication: your benchmark writeups and architecture docs should be good enough to forward to a buyer's CEO
Entrepreneurial and self-directed - comfortable being the first SE, with no playbook and no one to escalate the technical answer to
Use AI tools heavily in your own workflow to research, prototype, and move faster

Nice to have: experience selling or building on AMD GPUs / ROCm; exposure to enterprise security and compliance review; open-source contributions or public technical writing; experience as the first technical hire on a GTM team.

Why Featherless

Build the sales engineering function at a company in one of the fastest-moving spaces in AI
Work as a true pair with the founding AE, and directly with the CRO and founders - small team, no layers, immediate impact
Real technical depth: 40,000+ open models and an in-house research team shipping inference and optimization work you'll get to sell
Be part of a small, high-performing team making open weight AI accessible to everyone
Competitive base + variable tied to the team's number, plus equity

Compensation Range: $150K - $190K

Job Id: cOmAeMEf76BEYD2LjpF1tZjxJumOByODMLWEv4GXrmqPYd865zzB6vmjYHaWvDrW3ztINAft3Dy/1w61tr9F3zhsC+xHK7J0flvwKEv0Q5ni79HAAo3cJN5vkRsidyB5Yjwkxe9IzjwusukHEfkuCbmFUreRMlO8PuxIkX4=

Apply on jobs.urbanridgesupplies.com About employer

More about this job

Responsibilities

Lead technical discovery, demos, and POCs to prove the value of the inference platform to developers and CTOs. Build reusable technical collateral, migration paths, and benchmark analysis to support the sales team and drive production rollouts.

Requirements

Requires 3-6 years of experience in pre-sales engineering or solutions architecture within the AI, cloud, or MLOps space. Candidates must be hands-on with Python, modern LLM inference stacks, and cloud infrastructure.

Skills

Sales Engineering
Solutions Architecture
Python
LLM Inference
vLLM
SGLang
TensorRT-LLM
OpenAI-compatible APIs
Quantization
LoRA
Kubernetes
Cloud Networking
Cloud Security
Technical Benchmarking
Pre-sales
Machine Learning

Benefits

Competitive base salary
Variable compensation
Equity

Visa sponsorship

Not detected in the job text

Keywords

Sales Engineering
AI
Inference Platform
Machine Learning
Python
vLLM
SGLang
TensorRT-LLM
OpenAI-compatible APIs
Quantization
LoRA
Fine-tuning
Kubernetes
Cloud Networking
Cloud Security
Hugging Face
HubSpot
Benchmarking
Latency
Throughput
Cost-per-token
Solutions Architecture
MLOps
GPU Cloud
AMD GPUs
ROCm
Technical Sales
Pre-sales
Enterprise Security
Compliance

Seniority

Mid level

Perks

Stock or equity

Tools

Python
Kubernetes
HubSpot
Hugging Face
vLLM
SGLang
TensorRT-LLM

Languages

English

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Work requirements

Jobs in Canada