AI/ML Engineer, Sagetap

Salary not provided

+Early stage Stock Options +Commission +Bonus structure

SQL

Python

Kotlin

Git

Mid and Senior level

Remote in Canada, EU, UK, US

More information about location

Linking business buyers to SaaS startups

Open for applications

Linking business buyers to SaaS startups

21-100 employees

B2BMarketplaceMarket researchCommunityProcurement

Open for applications

Salary not provided

+Early stage Stock Options +Commission +Bonus structure

SQL

Python

Kotlin

Git

Mid and Senior level

Remote in Canada, EU, UK, US

More information about location

21-100 employees

B2BMarketplaceMarket researchCommunityProcurement

Company mission

To help cloud technology companies and product teams get expert and rapid qualitative and quantitative feedback at scale.

Job

Company

Role

Who you are

3+ years professional working experience in AI/ML engineering
Strong foundations in computer science, data science, math, machine learning, natural language processing (NLP), and generative AI concepts
3+ years experience with a programming language (we anticipate using Python for ML/AI initiatives, but we use Kotlin for the rest of our backend)
Experience with git or other version control systems
An empathetic mindset (for our users and the rest of our team), the ability to collaborate and communicate effectively, and a willingness and desire to learn
Experience with databases and confidence with core SQL preferred
Experience in an online marketplace is strongly preferred

What the job involves

Sagetap is looking for an experienced, curious, collaborative AI/ML engineer to join our fully remote engineering team and help take ownership over and drive forward our AI initiatives
As a senior member of an engineering- and innovation-first company, you will be empowered to discuss, design, and implement solutions throughout our platform from ideation all the way to production
A successful candidate should have a solid understanding of the full “AI” space, including machine learning, model training, and natural language processing
Knowing where large language models fall into this space and how they can best be utilized in conjunction with other ML tools and techniques is important, as is keeping up-to-date with the newest developments in LLMs/AI and being interested in experimenting with them
Ideate and discuss roadmap ideas with the rest of the organization and advise on how AI can be leveraged to create magical customer experiences
Act as an AI evangelist and teacher throughout the org, educating others on how it works and can best be utilized both for internal operations and throughout the user-facing product
Work with the rest of our development team to help establish the infrastructure and tooling required to leverage AI offerings
Plan, document, and develop AI features and tooling for the Sagetap marketplace and organization
Collaborate with, learn from, and teach others on the team about languages, tooling, techniques, etc

Our take

For companies developing enterprise software, increasing complexity and growing web demands make taking a competitive product to market tough. Sagetap pools together data analytics, data management, DevOps and cybersecurity experts who consult to help companies monitor competition and ensure their product tightly meets market demand.

Sagetap is a relatively new addition to the cloud computing sector, but by focusing intensely on high-growth companies developing enterprise software it is hitching its wagon to a rapidly expanding market. Forecasts anticipate the cloud computing market to be pushing a $1 trillion global valuation by 2026, with an increasing proportion of this coming from the fast-growth startups Sagetap addresses.

In 2024, the company raised Seed funding to support the development of what it calls the first AI-driven marketplace for enterprise software procurement. This will allow it to deliver a more targeted service with heightened value for both buyers and sellers.

Kirsty

Company Specialist at Welcome to the Jungle

Insights

Few candidates hear
back within 2 weeks

Company

Funding (last 2 of 3 rounds)

May 2024

$6.8m

SEED

Oct 2021

$4.5m

SEED

Total funding: $12.5m

Company benefits

Stock Options
Medical, dental, and vision insurance
Flexible work schedule
Professional Development and Career Growth
Generous Vacation and Holiday Policy

Company values

Be all in
Progress Over Perfection
Embrace Urgency
Be Bold

Company HQ

Cow Hollow, San Francisco, CA

Articles

Cloud Computing Market - Global Forecast to 2026

We’re still just scratching the surface of the cloud’s potential

Why startups are choosing the cloud

Sagetap raises $6.8 million to build AI-powered marketplace for enterprise software

Leadership

Kevin Hughes

(Co-founder)

Previously an Inside Sales Representative at Instart Logic, and went on to work as the Bay Area Regional Sales Manager for Moogsoft. Alongside this, was also a fundraiser for Brighter Children.

Sahil Khanna

(Co-founder)

Was a Business Value Analysis / Realization Team Leader for Moogsoft. Before that, worked in Product Marketing for Alpine Data and Pivotal Software

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