AI Jobs

Benefits:

• Competitive compensation that may include equity

• Retirement and Employee Stock Purchase Plans

• Flexible paid time off

• Comprehensive benefit plans covering medical, dental, vision, life, and disability

• Professional development supported by a yearly learning stipend

Experience Requirements:

• 3-5 years client-facing experience as a TAM or in a related technical area

• 3+ years of technical experience in managing complex customer environments

• Technical knowledge of two or more: SaaS, Mobile, API, or Programming

Other Requirements:

• Excellent written and verbal communication skills

• Natural problem solver with intellectual curiosity

• Ability to work under pressure in a fast-paced environment

• Bilingual skills beyond English are welcomed

Responsibilities:

• Own ongoing technical relationship through entire customer lifecycle

• Partner with Customer Success to drive technical adoption and maturity

• Help customers successfully instrument Braze across their stack

• Facilitate conversations regarding desired use cases and architectures

• Empower customer product and engineering teams to use the product independently

Benefits:

• Competitive compensation that may include equity

• Retirement and Employee Stock Purchase Plans

• Flexible paid time off

• Comprehensive medical, dental, vision, life, and disability plans

• Professional development and yearly learning stipend

Experience Requirements:

• 3-5 years client-facing experience as a TAM or in a related technical area

• 3+ years of technical experience in managing complex customer environments

• Technical knowledge of two or more: SaaS, Mobile, API, or Programming

Other Requirements:

• Excellent communication skills

• Natural problem solver

• Ability to manage multiple competing priorities

• Bilingual skills beyond English are a plus

Responsibilities:

• Own technical relationship through customer lifecycle

• Help customers instrument Braze and refine instrumentation over time

• Conduct discovery and recommend solutions based on unique needs

• Empower customer product and engineering teams

• Translate unique customer requirements to Braze's Product team

Benefits:

• Competitive compensation including equity

• Retirement and Employee Stock Purchase Plans

• Flexible paid time off

• Comprehensive benefit plans

• Yearly learning stipend

Experience Requirements:

• 3-5 years client-facing experience as a TAM or similar technical role

• 3+ years of technical experience in SaaS, Mobile, API, or Programming

• Experience managing complex customer environments

Other Requirements:

• Excellent communication skills

• Intellectual curiosity and problem solving skills

• Ability to work effectively under pressure

• Additional languages are a plus

Responsibilities:

• Act as technical advisor for TAM premium service customers

• Drive value, retention, and adoption through customer lifecycle

• Facilitate technical conversations and discovery

• Adopt governance practices like architectural diagrams

• Instill best practice and engineering excellence

Benefits:

• Competitive compensation that may include equity

• Retirement and Employee Stock Purchase Plans

• Flexible paid time off

• Comprehensive medical and family service benefits

• Professional development and yearly learning stipend

Experience Requirements:

• 3-5 years client-facing experience as a TAM or similar role

• 3+ years of technical experience with SaaS, Mobile, API, or Programming

• Experience with Enterprise and Strategic accounts

Other Requirements:

• Excellent communicator (written and verbal)

• Natural problem solver

• Ability to manage multiple competing priorities

• Bilingual skills welcomed

Responsibilities:

• Own technical relationship through entire customer lifecycle

• Drive technical adoption and maturity for assigned accounts

• Empower customer teams to use product efficiently

• Translate customer requirements to Braze Product team

• Validate product use cases and technical feasibility

Benefits:

• Competitive compensation including equity

• Retirement and Employee Stock Purchase Plans

• Flexible paid time off

• Comprehensive medical, dental, and vision plans

• Yearly learning stipend

Experience Requirements:

• Expertise in developing relationships with customer stakeholders

• Passionate about technical program delivery and process engineering

Other Requirements:

• Ability to manage project risks and stakeholder expectations

• Skills in process optimization and organizational enhancement

• Strong communication for cross-functional alignment

Responsibilities:

• Lead hands-on workshops to align on technical specs and architecture

• Conduct research and diagnostic assessments of client business objectives

• Lead end-to-end delivery of consulting engagements

• Redesign and document improved processes and operating frameworks

• Contribute to standardization of engagement methodologies

Benefits:

• Competitive compensation including equity

• Retirement and Employee Stock Purchase Plans

• Flexible paid time off

• Comprehensive benefit plans

• Professional development and learning stipend

Education Requirements:

• MBA, or other higher degree (masters or PhD) in relevant business, finance, or analytical field

Experience Requirements:

• At least 4-5 years of management consulting experience

• Work experience in data science, computer science, or math/analytics is a plus

Other Requirements:

• Commercially accountable operator with ability to deliver retention targets

• Skilled at drawing insights from raw data and running SQL analyses

• Exceptional executive-ready communicator

• Structured and disciplined in documentation

Responsibilities:

• Act as commercial owner for the end-to-end customer lifecycle

• Teach customers key AI and marketing experiment concepts

• Build business cases and ROI forecasts based on data extracted from BrazeAI

• Manage executive-level relationships as a trusted strategic partner

• Design, execute, and optimize BrazeAI use cases

Benefits:

• Competitive compensation including equity

• Retirement and Employee Stock Purchase Plans

• Flexible paid time off

• Comprehensive benefit plans

• Yearly learning stipend

Education Requirements:

• BS in Computer Science (or equivalent coding bootcamp or technical experience)

Experience Requirements:

• 2-3 years of experience developing web and/or mobile applications

• Experience with Ruby, Rails, Swift, Objective-C, Java, or Kotlin

• 2-3 years of experience supporting technical products in SaaS B2B

• Experience with APIs, HTML, CSS, and JavaScript

Other Requirements:

• Proficiency in case management tools such as Salesforce or Jira

• Exceptional analytical and troubleshooting capabilities

• Ability to be part of an 'on call' after-hours rotation team

• Strong sense of intellectual curiosity

Responsibilities:

• Primary technical escalation point for Sales, CS, and Technical Support

• Investigate and resolve highly technical, escalated customer issues

• Review customer SDK integration code

• Build custom data export and migration scripts

• Partner with Product Engineering to fix bugs and build internal tools

Benefits:

• Competitive compensation including equity

• Retirement and Employee Stock Purchase Plans

• Flexible paid time off

• Comprehensive benefit plans

• Professional development and yearly learning stipend

Education Requirements:

• Bachelor’s degree in Computer Science, Data Science, Mathematics, or Engineering

• Master’s or PhD in a relevant technical discipline preferred

Experience Requirements:

• 3–5+ years of hands-on experience as a Data Scientist or ML Engineer

• Experience in customer-facing or consulting roles strongly preferred

• Proficient in Python (Pandas) and core ML libraries

• Skilled in SQL for querying/manipulating datasets

Other Requirements:

• Expertise in writing well-structured, modular, documented code

• Knowledge of engineering best practices (Git, CI/CD, testing)

• Ability to translate technical concepts into clear business value

• Experience with DevOps tools (Airflow, Kubernetes, Terraform) is a plus

Responsibilities:

• Collaborate with customer teams on implementations and ML model configuration

• Extend product capabilities by developing reusable data pipelines and APIs

• Refine and advance reinforcement learning algorithms

• Shaping BrazeAI product strategy through technical expertise

• Provide ongoing expertise to ensure successful adoption and outcomes

Benefits:

• Competitive compensation including equity

• Retirement and Employee Stock Purchase Plans

• Flexible paid time off

• Comprehensive benefit plans

• Professional development and yearly learning stipend

Education Requirements:

• Bachelor’s degree in Computer Science, Data Science, Mathematics, or Engineering

• Master’s or PhD preferred

Experience Requirements:

• 3–5+ years of hands-on experience as a Data Scientist or ML Engineer

• Experience in production environments and large-scale data

• Proficiency in Python and ML libraries (TensorFlow, Keras, etc.)

Other Requirements:

• Follow strong development practices (Git, CI/CD, code reviews)

• Able to explain complex technical ideas persuasively

• Entrepreneurial problem-solver

• Continuous learner interested in industry trends

Responsibilities:

• Partner with customers to ensure their success with BrazeAI

• Develop reusable data pipelines and components

• Work with RL pipeline development team to advance algorithms

• Contribute to product strategy through customer-facing insights

• Provide technical expertise for measurable customer outcomes

Benefits:

• Competitive compensation including equity

• Retirement and Employee Stock Purchase Plans

• Flexible paid time off

• Comprehensive medical, dental, and vision plans

• Yearly learning stipend

Education Requirements:

• Bachelor’s degree in Computer Science, Data Science, Mathematics, or Engineering

• Master’s or PhD preferred

Experience Requirements:

• 3–5+ years of hands-on experience as a Data Scientist or ML Engineer

• Experience in customer-facing roles preferred

• Strong technical expertise in Python and SQL

Other Requirements:

• Modular and documented coding skills

• Customer collaborator and clear communicator

• Knowledge of DevOps tools is a nice-to-have

• Skilled in machine learning pipelines and model deployment

Responsibilities:

• Collaborate with customer Analytics/BI teams on data integration

• Extend product capabilities and develop reusable components

• Advance reinforcement learning (self-learning) algorithms

• Translate technical concepts into business value

• Ensure measurable outcomes and long-term customer success

Benefits:

• Healthcare, dental, vision coverage

• Competitive salary + equity

• Ownership & Autonomy

• Opportunity to work at a high-growth AI startup

Experience Requirements:

• 3+ years of experience as an Analytics Data Engineer or similar Data Science & Analytics roles

• Strong SQL and data engineering skills (e.g., dbt, Airflow, data warehouses)

• Proficiency in Python for data analysis and modeling

Other Requirements:

• Excellent communication skills

• Curious, collaborative, and driven

• Experience in B2B SaaS or AI/ML products

• Familiarity with product analytics tools

Responsibilities:

• Define, build, and maintain product metrics, dashboards, and pipelines

• Write SQL and Python code to extract, transform, and analyze data

• Design and run experiments (A/B tests) to support product development

• Proactively explore data to identify product opportunities

• Collaborate with cross-functional teams

Benefits:

• Competitive salary + equity

• Ownership & Autonomy

• Opportunity to work at a high-growth AI startup

Experience Requirements:

• Strong full-stack experience: React, TypeScript, Node.js

• Hands-on proficiency in Python

• Experience building AI/ML applications, including LLM prompting and tuning

Other Requirements:

• Ability to manage APIs and integrate with third-party systems

• Excellent communication skills

• Proven ability to prioritize and manage multiple projects under tight deadlines

• Founder mindset

Responsibilities:

• Customer-Facing Engineering

• Technical Development of new features and MVPs

• Full-Stack Development using React, TypeScript, Node.js, and Python

• Design and implement AI/ML solutions

• Manage APIs and integrations

Benefits:

• Competitive salary + equity

• Ownership & Autonomy

• Opportunity to work at a high-growth AI startup

Experience Requirements:

• Comfortable Full-Stack: React, TypeScript, Node.js

• Strong proficiency in Python with hands-on experience

• Experience building AI/ML applications

Other Requirements:

• Ability to prioritize and manage multiple projects under tight deadlines

• Excellent communication skills

• Founder Mindset

Responsibilities:

• Work closely with customers from onboarding to ongoing use

• Manage APIs and other tools for robust integration

• LLM prompting and tuning of voices and transcribers

• Building new features or entire MVPs

Benefits:

• Competitive salary + equity

• Ownership & Autonomy

• Opportunity to work at a high-growth AI startup

Experience Requirements:

• Strong full-stack experience: React, TypeScript, Node.js

• Hands-on proficiency in Python

• Experience building AI/ML applications, including LLM prompting and tuning

Other Requirements:

• Ability to manage APIs and integrate with third-party systems

• Excellent communication skills

• Proven ability to prioritize and manage multiple projects under tight deadlines

• Founder mindset

Responsibilities:

• Customer-Facing Engineering

• Technical Development

• Full-Stack Development

• AI/ML Applications

• Integration & APIs

Benefits:

• Healthcare, dental, vision coverage

• Competitive salary + equity

• Ownership & Autonomy

• Opportunity to work at a high-growth AI startup

Experience Requirements:

• Strong full-stack experience: React, TypeScript, Node.js

• Hands-on proficiency in Python

• Experience building AI/ML applications, including LLM prompting and tuning

Other Requirements:

• Ability to manage APIs and integrate with third-party systems

• Excellent communication skills

• Proven ability to prioritize and manage multiple projects under tight deadlines

• Founder mindset

Responsibilities:

• Customer-Facing Engineering

• Technical Development

• Full-Stack Development

• AI/ML Applications

• Integration & APIs

Benefits:

• Competitive salary + equity

• Ownership & Autonomy

• Opportunity to work at a high-growth AI startup

Experience Requirements:

• Strong full-stack experience: React, TypeScript, Node.js

• Hands-on proficiency in Python

• Experience building AI/ML applications, including LLM prompting and tuning

Other Requirements:

• Ability to manage APIs and integrate with third-party systems

• Excellent communication skills

• Proven ability to prioritize and manage multiple projects under tight deadlines

• Founder mindset

Responsibilities:

• Customer-Facing Engineering

• Technical Development

• Full-Stack Development

• AI/ML Applications

• Integration & APIs

Benefits:

• Dynamic, growing company with plenty of room for creativity

• Direct impact on customer success

• Motivated team with an open, appreciative company culture

• Opportunities for professional and personal development

Experience Requirements:

• Several years of experience in Customer Success or Account Management

• Ideally in a SaaS environment

• Deep understanding of Subscription Management and related processes

Other Requirements:

• Excellent communication skills in German and English

• Strong interpersonal skills, particularly in dealing with decision-makers

• Analytical, solution-oriented mindset with high self-initiative

• Hands-on mentality to actively work on solutions

• Customer focus as a top priority

Responsibilities:

• In-depth customer management and proactively deriving solutions

• Building and maintaining long-term customer relationships

• Proactive consulting and support through regular business reviews

• Up- and cross-selling by identifying potential for additional services

• Effective stakeholder management and internal/external communication

Benefits:

• Mentorship from experienced software engineers

• Exposure to modern development practices and innovation

• Choice of Mac or Windows based devices

• Local employee benefits

• Fun and collaborative working environment

Education Requirements:

• Degree in computer science, software engineering, or a similar technical field

Experience Requirements:

• Plus 3-5 years of software engineering experience

• Experience in Angular and modern TypeScript (Angular 19+, ES2022+)

• Backend experience in Java / Spring Boot

• Experience with Microservices & REST

• Solid E2E testing experience (Playwright or Cypress preferred)

Other Requirements:

• Use of, or awareness of AI engineering tooling (e.g. Cursor or Github Co-Pilot)

• Good written and verbal English communication skills

• Ability to work independently and in a team at a high standard

Responsibilities:

• Design, build, and maintain frontend applications using Angular

• Translate requirements into scalable, intuitive user interfaces

• Collaborate with PMs, designers and engineers on end-to-end features

• Own frontend features from concept to production

• Contribute to backend APIs and services using Java and Spring Boot

Benefits:

• discretionary bonus compensation

• generous employee benefits package

Experience Requirements:

• 4+ years professional experience in design teams within media, fashion brands, or premium creative agencies

Other Requirements:

• Ability to work in-office in NYC 4 days per week

• Excellent ability in Adobe Creative Suite, Google Slides, and Figma

• Portfolio demonstrating an ambitious body of work

Responsibilities:

• Translate fashion and luxury category brand briefs into compelling design concepts

• Responsible for the creation of multi-platform design executions across print and digital

• Create visually impactful materials for presentations

• Set and maintain design standards across production

• Partner with art directors, editors, creative directors, and marketing leads

Benefits:

• Weekly lunch stipend, in-office lunches & snacks

• Full health and dental benefits

• 100% Parental Leave top-up for up to 6 months

• Personal enrichment benefits

• 6 weeks of vacation (30 working days!)

Experience Requirements:

• Experience working directly with customers

• Shipped Python in production

• Built and deployed highly performant client-side or server-side RAG/agentic applications

• Strong coding abilities and comfortable working across the stack

• Excel in fast-paced environments

Responsibilities:

• Build and ship features for North, our AI workspace platform

• Develop autonomous agents that talk to sensitive enterprise data

• Experiment at a high velocity and with a high level of quality

• Work across the entire product lifecycle from conceptualization through production

• Lead end-to-end deployment of North in private cloud and on-premises environments