Benefits:

• Competitive cash and equity package

• Healthcare

• Lunch

• Wellbeing

• Flexible hours

Experience Requirements:

• Strong technical foundation in AI/ML, deep learning, or GPU infrastructure

• Experience producing technical content (blogs, talks, demos)

• Comfortable coding in Python

• Familiar with ML frameworks (PyTorch, TensorFlow, JAX)

• Understanding of training, inference, and MLOps workflows

Other Requirements:

• Strong communication and storytelling skills

• Self-driven and able to manage multiple content streams

• Active in developer communities

Responsibilities:

• Create technical content: articles, benchmarks, and tutorials

• Produce code-first demos for training and inference

• Represent Verda at conferences and community events

• Build reproducible technical assets like notebooks and repos

• Own the publishing schedule and content calendar

Benefits:

• Generous cash + equity compensation

• Healthcare

• Lunch

• Wellbeing

• Relocation support

Experience Requirements:

• Potential, passion, and purpose over specific years of experience

Other Requirements:

• Curiosity and eagerness to explore new technologies

• Ability to take ownership independently

• Care about quality and teamwork

Responsibilities:

• Solve complex problems alongside talented peers

• Help build and scale Europe’s AI infrastructure

• Contribute to responsible AI development

• Continuously learn and expand technical or business expertise

Benefits:

• Competitive cash and equity package

• Healthcare

• Lunch

• Wellbeing

Experience Requirements:

• 8+ years of experience in product marketing

• Experience marketing technical products like AI or cloud infrastructure

Other Requirements:

• Strong written and verbal communication skills in English

• Ability to translate technical capabilities into customer value

Responsibilities:

• Own product positioning, messaging, and value propositions

• Lead go-to-market strategy and product launches

• Translate technical capabilities into customer narratives

• Enable sales with messaging and competitive insights

• Conduct market and competitive analysis

Benefits:

• Cash + equity compensation

• Healthcare

• Lunch

• Wellbeing

• Relocation support

Experience Requirements:

• Senior/Expert level expertise in security research

• Experience with application security testing practices

• Experience with cloud infrastructure and AI/ML workloads

Other Requirements:

• Investigative mindset for security research

• Knowledge of European data sovereignty and compliance

Responsibilities:

• Conduct application security testing across the full stack

• Design security assessment methodologies for AI/ML workloads

• Execute penetration testing of applications and APIs

• Research and evaluate mitigation strategies

• Mentor developers on security implementation

Benefits:

• Cash + equity compensation

• Healthcare

• Lunch

• Wellbeing

• Community BBQ

Experience Requirements:

• 5+ years of experience as a Back-end Developer

• Proficiency with Go or other back-end languages

• Experience in System Design for performance

• Proficiency in SQL and scalable data models

• Familiarity with GNU/Linux and virtualization

Other Requirements:

• Experience with public RESTful APIs

• Experience building Infrastructure as Code (IaC)

• Critical thinking and proactive mindset

Responsibilities:

• Contribute to building a Hyperscaler provisioning system

• Build integrations with globally-renowned vendors

• Refactor, extend, or build new services

• Architect and develop larger features or microservices

• Identify root causes of codebase issues

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