AI Platform Engineer, OfferFit

Salary not provided

Please note that we adjust compensation for non–US countries using a relative cost of labor adjustment between the US and your country of residence

SQL

Kubernetes

GCP

Python

Airflow

Terraform

Sentry

Spark

RabbitMQ

Pandas

Celery

BigQuery

FastAPI

Mid and Senior level

Remote from Europe, UK

More information about location

AI platform making A/B testing obsolete

Job no longer available

AI platform making A/B testing obsolete

101-200 employees

B2BArtificial IntelligenceEnterpriseMarketingMachine LearningSaaSAutomation

Job no longer available

Salary not provided

Please note that we adjust compensation for non–US countries using a relative cost of labor adjustment between the US and your country of residence

SQL

Kubernetes

GCP

Python

Airflow

Terraform

Sentry

Spark

RabbitMQ

Pandas

Celery

BigQuery

FastAPI

Mid and Senior level

Remote from Europe, UK

More information about location

101-200 employees

B2BArtificial IntelligenceEnterpriseMarketingMachine LearningSaaSAutomation

Company mission

To accelerate the creation of knowledge - because with more and better knowledge, there’s no telling how substantially life can improve in the coming generations.

Job

Company

Role

Who you are

Do you enjoy working on data-intensive products and being involved in projects from an early stage?
Exceptional coder: you write clean, object-oriented code; you care about good design and terse, testable APIs
Tinkerer: you regularly explore and learn new technologies and methods, especially in the data architecture and data science domains
Entrepreneurial: you proactively identify opportunities and risks, work around obstacles, and always seek creative ways to improve processes and outcomes
Structured and organized: you can structure a plan, align stakeholders, and see it through to execution
Clear communicator: you are able to express yourself clearly and persuasively, both in writing and speech
Strong problem solver: you have the ability to break down intricate technical problems and identify innovative approaches to resolve them
Must be fluent in English, both written and verbal

What the job involves

Come join our quickly growing Engineering team to help design, improve and scale OfferFit's self-learning (reinforcement learning) AI platform
OfferFit is an AI Decisioning “brain” that ingests data from warehouses and CDPs (customer data platforms, e.g., Segment) and makes decisions that are activated by marketing platforms of the enterprises we work with (platforms like Braze, SFMC, Adobe, Iterable, etc.)
This role focuses on creating the infrastructure and connections needed for seamless deep event-driven integration between OfferFit and these other platforms
Apply software engineering best practices for coding, testing, and documentation to design and implement modular software components as part of a cutting-edge ML platform
Lead the design, implementation and optimization of platform integration solutions, ensuring reliability and scalability across diverse enterprise platforms
Design and implement event-driven, cloud-native architectures that balance performance and cost-effectiveness while providing robust fault tolerance and adaptability for evolving business requirements
Continuously identify opportunities to enhance system performance, streamline processes, and adopt cutting-edge technologies
Work closely with OfferFit customers and internal stakeholders to translate real-world use cases into platform features
Collaborate with teams responsible for OfferFit’s product strategy and roadmap
Tech stack:
Core Data & ML: Python (Pandas, Polars, Ibis, Spark), SQL, BigQuery, FastAPI, MLflow, Streamlit
Platform & Infrastructure: Google Cloud Platform, Kubernetes, Helm, Terraform
Workflows & Orchestration: Airflow, RabbitMQ, Celery
CI/CD: GitHub Actions, Sonar, Sentry
Web [Not required for this role]: JavaScript, HTML, CSS

Our take

In the realm of digital marketing, traditional A/B testing is facing significant challenges in optimizing and personalizing communication strategies. The limitations of this approach, which is employed to measure the effectiveness of different messages among user groups, include scalability issues and the inability to continuously adapt to evolving user behaviors.

OfferFit addresses these industry challenges by leveraging machine learning to revolutionize digital marketing optimization. Unlike traditional A/B testing, OfferFit's approach involves algorithms trained through trial-and-error, akin to how humans learn. This method allows for ongoing adjustments, ensuring continuous optimization over time.

Recently the company was acquired by Braze, positioning it for an even brighter future. This move brings OfferFit's tech into a much bigger platform, giving it the scale and support to level up even faster. With both teams now working together, we're talking about a new era of smart, personalized customer experiences that actually feel human. It's a big win for marketing and a huge step toward a future where AI doesn't just assist but understands.

Steph

Company Specialist at Welcome to the Jungle

Company

Funding (2 rounds)

Nov 2023

$25m

SERIES B

Nov 2021

$14m

SERIES A

Total funding: $39m

Company benefits

Generous PTO policy: Starting at 25 days PTO per year
100% remote work environment: With flexible hours
Quarterly gatherings: Where we meet in person in different cities to work together, bond as a team, and celebrate our progress
Weekly team events: Lunch and learns, trivia, virtual escape rooms, town halls, and team health "barometer" meetings

Company HQ

Government Center, Boston, MA

Leadership

George Khachatryan

(Co-Founder & CEO)

Previously co-founded the educational software for schools company, Reasoning Mind. They also worked as an Associate Partner at McKinsey & Company before co-founding OfferFit in 2020.

Victor Kostyuk

(Co-Founder & CTO)

Previously worked at the Boston Consulting Group in multiple Data Scientist roles. Prior to that they worked at Reasoning Mind for over 6 years in multiple roles.

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