Shakudo3mo ago

Sales Engineer

Canada·TorontoFull Timemid

SalesSales Engineer

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Quick Summary

Overview

Overview This position is for a Senior Solutions Engineer to own technical relationships with sales prospects, evangelizing modern AI/ML operations and data infrastructure to audiences ranging from C-level executives to individual contributors and engineers.

Technical Tools

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Overview

This position is for a Senior Solutions Engineer to own technical relationships with sales prospects, evangelizing modern AI/ML operations and data infrastructure to audiences ranging from C-level executives to individual contributors and engineers.

You'll work closely with the sales team to support customers on a technical level, run presentations, lead design integration architectures, and help develop new accounts.

Technical pre-sales leadership: Owning the technical relationship throughout the sales cycle, from initial discovery onwards

Solution architecture: Designing and presenting AI/ML infrastructure solutions that solve complex engineering challenges

Hands-on demonstrations: Building and delivering compelling demos that showcase how Shakudo accelerates AI/ML workflows and eliminates infrastructure complexity

Customer enablement: Training and guiding customers on best practices for deploying and operationalizing AI/ML workloads on Shakudo

Product feedback loop: Serving as the voice of the customer to our product and engineering teams

5+ years in technical pre-sales, solutions engineering, or technical consulting roles in data/AI/cloud infrastructure

Strong technical foundation: Hands-on experience with cloud platforms (AWS, Azure, GCP), containerization (Docker, Kubernetes), and infrastructure-as-code

Data & AI literacy: Understanding of ML workflows, data pipelines, and the tools data scientists and engineers use (Python, Jupyter, MLflow, Airflow, etc.)

Solutions architect mindset: Ability to understand complex technical requirements and translate them into elegant platform solutions

Exceptional communication skills: Can articulate technical concepts to both technical and business stakeholders with clarity and confidence

Self-starter mentality: Comfortable in a fast-paced startup environment where you'll need to figure things out and move quickly

Experience with MLOps platforms, data orchestration tools, or platform engineering concepts

Familiarity with the modern data stack (dbt, Fivetran, Snowflake, Databricks, etc.)

Domain knowledge in regulated industries (healthcare, finance, pharma) or high-growth tech

Understanding of enterprise data governance, security, and compliance requirements

Cutting-edge technology: Work with the latest AI/ML tools and infrastructure technologies; you'll be at the forefront of the AI revolution

Enterprise customer base: Help leading enterprises and innovative startups solve their most complex data and AI challenges

High impact: Your work directly enables customers to deploy AI solutions that were previously impossible or took months to build

Smart, passionate team: Collaborate with world-class engineers, data scientists, and go-to-market professionals who care deeply about what they build

Growth opportunity: Be part of a fast-growing startup where your contributions have immediate impact and your career trajectory is only limited by your ambition

Learning culture: We invest in our people through continuous learning, conference attendance, and exposure to cutting-edge technologies

Competitive compensation: Including equity in a high-growth company