Senior Staff Software Engineer, Altana AI

$134-200k

Salary applicable for candidates in the US and may vary in further locations. + Equity Grants + Discretionary Bonus/Variable Compensation Plan

AWS

Docker

Kubernetes

Python

Azure

NumPy

Pandas

Celery

Git

Senior and Expert level

Boston

London

New York

San Francisco Bay Area

Supply chain visibility platform

Open for applications

Supply chain visibility platform

101-200 employees

B2BArtificial IntelligenceEnterpriseLogisticsBig dataSupply ChainSaaS

Open for applications

$134-200k

Salary applicable for candidates in the US and may vary in further locations. + Equity Grants + Discretionary Bonus/Variable Compensation Plan

AWS

Docker

Kubernetes

Python

Azure

NumPy

Pandas

Celery

Git

Senior and Expert level

Boston

London

New York

San Francisco Bay Area

101-200 employees

B2BArtificial IntelligenceEnterpriseLogisticsBig dataSupply ChainSaaS

Company mission

Altana AI's mission is to improve global commerce.

Job

Company

Role

Who you are

BS or MS degree in Computer Science, or equivalent experience
7+ years of real-world professional experience writing back end or data-driven software in demanding environments
You’ve deployed production code and services to cloud-hosted environments
You have demonstrated experience delivering incremental releases from proof-of-concept to MVP to production
Self-starter with demonstrated experience working on large, complex problems
You care deeply about engineering excellence, clean code, and knowledge-sharing
You have experience with taking over codebases and making them your own, carrying forward with new feature development
You are a master of prioritizing and picking your area of focus intentionally
You have strong written and verbal communication skills
Experience leading other engineers on complex projects
Experience with Python Machine Learning toolsets (Numpy, Pandas, Dedupe)
Experience with container technologies like Docker and Kubernetes

What the job involves

The Engineering team is responsible for building out the platforms, API’s, services, workflows, and logical architectures for bringing this vision to life
We are creating a platform fundamentally driven by AI, which scales to a massive trove of data, and a diverse customer base; it is a complex system that will stretch engineering in many directions
You’ll work closely with our Data Scientists on projects to analyze and observe world-scale datasets, write code that can scale to produce never-before-seen insights, and construct APIs to deliver our product vision
Ingest product requirements, define technical requirements, and design practical, iterative technology designs that achieve our product and technical goals
Work with your product manager to develop implementation plans against our technical product roadmaps
Personally maintain, develop, and deploy services creating and supporting our overall architecture
Analyze and propose technical solutions to invent, enable, and enhance our product offerings
Be responsible for automating, testing, and deploying your own and your team’s work
Review the code and technical designs authored by your team members, and hold a high bar for quality
Mentor developers and help them level up their skills
Be responsible for the technical excellence of day-to-day work of a team of engineers and ensure that the team’s deliverables are maturing along the defined roadmap
Drive technical decision-making and problem-solving across the team, ensuring solutions are efficient, scalable, and maintainable
Identify technical and operational gaps for the team and create plans and work items to address them
Serve as the domain expert for a portion of the product surface area, while holding a firm technical understanding for other areas as well
Cooperate with team leads and managers in order to keep the team focused on outcomes while delivering sustainable and consistent code
Languages: Python, PySpark
Tools: Docker, Git, Kubernetes, Swagger/OpenAPI, AWS/Azure, MLFlow, Celery
Datastores: Databricks and Delta Lakes

Our take

Altana AI’s platform provides a shared source of truth for the global supply chain. The idea is that this will help businesses and governing powers optimize global commerce which, over the past few years, has shot up on the list of international priorities. With three quarters of businesses reporting recent supply chain disruptions, and governments increasingly concerned with mitigating security threats, data-driven visibility is more sought after than ever before.

Crucially, the platform doesn’t require data sharing to create global intelligence, instead using a federated machine learning approach. This is a nut many big-data companies have been trying to crack, and Altana AI’s success has attracted the company interest from top-tier investors like Google Ventures and Floating Point alongside contracts with the UK Department of Business & Trade. A number of other headline enterprises and government agencies are already on the company's customer roster.

With companies looking to recoup some of the $4 trillion reportedly lost in supply chain disruptions over recent years, and the push for global databases getting stronger, logistics startups are having a fruitful investment period. Altana is crafting a remarkable product at a highly marketable time, and with good uptake so far. Backed by substantial funding, Altana is set for a strong few years.

Steph

Company Specialist at Welcome to the Jungle

Insights

Top investors

26% employee growth in 12 months

Glassdoor (3.4)

Company

Funding (last 2 of 5 rounds)

Jul 2024

$200m

SERIES C

Oct 2022

$100m

SERIES B

Total funding: $323.5m

Company benefits

Comprehensive healthcare package
Paid parental leave of 3 months for the primary caregiver and 1 month for the secondary caregiver

Company HQ

Financial District, New York, NY

Leadership

Raphael Tehranian

(COO)

Previously an analyst with J P Morgan, pivoting to engagement at Cleantech Group and then corporate tech strategy with Suncor Energy. After a spell as an investor at Fuller Smith, spent time with global supply chain analytics company Panjiva as a management advisor.

Peter Swartz

(Chief Science Officer)

An MIT grad in political science who went on to work as Head of Data Science at Panjiva.

Evan Smith

(CEO)

A Yale economics graduate with experience in renewables at Imperium Renewables and Verno Systems, the latter of which they co-founded. Served as a partner at Fuller Smith, before moving on to work in a management advisor role at Panjiva.

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