Federato is on a mission to defend the right to efficient, equitable insurance for all. We enable insurers to provide affordable coverage to people and organizations facing the issues of today - the climate crisis, cyber-attacks, social inflation, etc. Our vision is understood and well funded by those behind Salesforce, Veeva, Zoom, Box, etc.

Federato’s AI/ML-driven platform leverages deep reinforcement learning to help insurance companies optimize the portfolio of risks they insure, allowing them to continue to provide fair and equitable pricing in difficult-to-price areas. Our category-defining ‘RiskOps’ solution drives better underwriting decisions by operationalizing underutilized data investments and surfacing real-time risk and portfolio insights. We focus on putting insurance underwriters back in the driver’s seat, helping them meet their goals while providing an important service to society.

What you'll be doing: 

• Project Planning & Execution: Lead the planning, execution, and delivery of customer-facing projects, ensuring all milestones and deadlines are met.
• Stakeholder Coordination: Work closely with internal teams, including product management, software development, QA, and operations, to ensure alignment on project goals, timelines, and deliverables.
• Documentation & Reporting: Maintain accurate project documentation, including schedules, scope, and project progress reports, and provide regular status updates to stakeholders.
• Risk Management: Proactively identify and manage risks, providing mitigation plans to ensure successful project delivery.
• Quality Assurance & Testing: Ensure that all deliverables meet the required quality standards and customer expectations by working closely with the QA team during the development lifecycle.
• Support Request Processing & Analysis: Manage and analyze customer support requests related to software delivery, identifying trends and potential issues, and ensuring timely resolution by coordinating with the appropriate teams.
• User Training & Office Hours: Lead user training sessions and conduct office hours to ensure customers are equipped to use the software effectively. Provide ongoing support during and after training to address any questions or challenges.
• Customer Usage Tracking & Improvement: Monitor customer usage of the software to identify adoption gaps or underutilized features. Proactively work with customers to improve software usage and drive greater value from the solution.

Who we hope you are: 

• 7-10 Years of experience in P&C or Specialty insurance, specifically underwriting, operations, product, process required 
• Experience in customer success, customer service or other client-facing, relationship management roles, or experience as a project manager in software delivery or IT project management.
• Strong understanding of software development methodologies (Agile, Scrum, Waterfall, etc.).
• Excellent communication and interpersonal skills, with the ability to manage relationships with both internal teams and customers.
• Ability to manage multiple projects simultaneously, while ensuring quality and timely delivery.
• Solid experience in risk management, issue resolution, and stakeholder management.
• Knowledge of project management tools (e.g., Jira, MS Project, Asana) and software development lifecycles.
• A customer-centric mindset with a focus on delivering exceptional results.
• PMP, Scrum Master, or similar certifications are a plus

Our base compensation amount for this role is targeted to $160,000-$180,000. Final offer amounts are determined by multiple factors, including candidate location, experience, and expertise, and may vary from the amounts listed above. Total compensation package does include stock options, benefits and additional perks. 

Data Scientist 

About the company

KoBold Metals is a mineral exploration company using AI to explore for the metals we need for our transition to a low-carbon economy. KoBold’s business is discovering, defining, expanding, and developing mineral resources, and KoBold’s objective is to achieve a step-change improvement in exploration success: we aim to discover more tier 1 resources, faster, and with fewer failures.

KoBold has a global portfolio of more than 50 exploration properties targeting nickel, copper, cobalt, and lithium, which range from 100%-owned to partnerships with both majors, junior explorers, and prospectors.

Our team includes the best of the industry in exploration geoscience, data science, software engineering, operations, and business personnel. Prior to joining KoBold, KoBold team members have made nearly 20 discoveries. Our exploration programs are co-led by our geoscientists and data scientists, who develop exploration hypotheses, rigorously quantify uncertainty in our understanding of the subsurface, and design data collection programs that most effectively reduce uncertainty, drawing upon a large suite of proprietary exploration technology built by our data scientists and software engineers. Our field programs validate and improve the system and have demonstrated material improvements over conventional exploration methods

KoBold is privately held and our investors include: institutional asset managers T. Rowe Rice and Canada Pension Plan Investments; technology venture capitalists Andreessen Horowitz, Bill Gates’s Breakthrough Energy Ventures, BOND Capital, Standard Investments, and Sam Altman’s Apollo Projects; and leading natural resources companies Equinor, Mitsubishi, and BHP.

We are hiring Data Scientists to help accelerate our mission.

About the position

In this role, you will build predictive models and apply a wide range of scientific computing, statistical, and physics-based methods to find places where there is evidence of ore-forming processes at work and to predict the locations of ore-grade mineralization in 2D and 3D. You will help build a worldwide dataset that underlies our exploration program, with careful attention to identifying and quantifying uncertainty in the data and in our predictions. You will create models and develop software to accelerate discovery of critical battery metals.

You will join an outstanding team of data scientists and engineers and will work closely with KoBold’s world-renowned geoscientists to incorporate our best understanding of the chemical and physical processes that create ore deposits. Working with your geoscience colleagues, you will create 2D and 3D geologic predictions, identify exploration targets, design field programs to collect data, and use that data to reduce the uncertainty in our predictions and guide the next phase of field work.

Ultimately, your role is to help KoBold make valuable discoveries by building data tools to solve scientific problems. As one of the early members of this team, you will help build these tools from the ground up.

Responsibilities

The Data Scientist will:

• Help develop KoBold’s proprietary software exploration tools.
• Find and curate  geophysical, geochemical, geologic, and geographic data and integrate it into KoBold’s proprietary data system.
• Build models to make statistically valid predictions about the locations of compositional anomalies within the Earth’s crust.
• Create effective visualizations for evaluating model performance and enabling rapid interaction with the underlying data and key features.
• Develop and apply data processing, statistical, and physics-based techniques to geoscientific data — from computer vision to geophysical inversions — and use the results to guide our targeting efforts and inform our acquisition and exploration decisions.
• Present to and collaborate with our external partners and stakeholders.

Qualifications

A great Data Scientist candidate will have:

Technical skills, including extensive experience with:

• Python’s data science packages and general software engineering practices.
• Collaborative software development (git), and familiarity with software engineering best practices like unit test / integration test suites, and CICD pipelines.
• Cloud computing resources.
• Building predictive models, applying them to different problems, and evaluating and interpreting the results.
• Data from a variety of physical systems.
• Geospatial analyses and visualizations.

Technical knowledge:

• Broad skills in and knowledge of applied statistics and Bayesian inference
• Substantial understanding of machine learning algorithms

Training and work experience:

• An advanced degree in the physical sciences, engineering, computer science, or mathematics
• Experience leading technical teams to apply novel scientific approaches to core business problems 

Work practices and motivation:

• Ability to take ownership and responsibility of large projects.
• Ability to explain technical problems to and collaborate on solutions with domain experts.
• Communicates well on a collaborative, cross-functional team. 
• Excitement about joining a fast-growing early-stage company, comfort with a dynamic work environment, and eagerness to take on a range of responsibilities.
• Ability to independently prioritize multiple tasks effectively.
• Intellectual curiosity and eagerness to learn about all aspects of mineral exploration, particularly in the geology domain.
• Enjoys constantly learning such that you are driving insights through using our tools in exploration and willing to work directly with geologists in the field.
• Keen not just to build cool technology, but to figure out what technical product to build to best achieve the business objectives of the company.
• A valid passport and willingness to travel to observe our work at Mingomba or at an exploration site around the world. 

It is also helpful but not required to have experience with:

• Creating machine learning models on geospatial data
• Geostatistics
• Image processing or computer vision
• Distributed computing applications for machine learning and other computations

KoBold Metals is an equal opportunity workplace and an affirmative action employer. We are committed to equal employment opportunity for people of any race, color, ancestry, religion, sex, gender identity, sexual orientation, marital status, national origin, age, citizenship, disability, or veteran status.

This position is Contract: Indefinite 

Location: Zambia (Lusaka or Chililabombwe) 

Data Scientist

About the company

KoBold Metals is a mineral exploration company using AI to explore for the metals we need for our transition to a low-carbon economy. KoBold’s business is discovering, defining, expanding, and developing mineral resources, and KoBold’s objective is to achieve a step-change improvement in exploration success: we aim to discover more tier 1 resources, faster, and with fewer failures.

KoBold has a global portfolio of more than 50 exploration properties targeting nickel, copper, cobalt, and lithium, which range from 100%-owned to partnerships with both majors, junior explorers, and prospectors.

Our team includes the best of the industry in exploration geoscience, data science, software engineering, operations, and business personnel. Prior to joining KoBold, KoBold team members have made nearly 20 discoveries. Our exploration programs are co-led by our geoscientists and data scientists, who develop exploration hypotheses, rigorously quantify uncertainty in our understanding of the subsurface, and design data collection programs that most effectively reduce uncertainty, drawing upon a large suite of proprietary exploration technology built by our data scientists and software engineers. Our field programs validate and improve the system and have demonstrated material improvements over conventional exploration methods

KoBold is privately held and our investors include: institutional asset managers T. Rowe Rice and Canada Pension Plan Investments; technology venture capitalists Andreessen Horowitz, Bill Gates’s Breakthrough Energy Ventures, BOND Capital, Standard Investments, and Sam Altman’s Apollo Projects; and leading natural resources companies Equinor, Mitsubishi, and BHP.

We are hiring Data Scientists to help accelerate our mission.

About the position

In this role, you will build predictive models and apply a wide range of scientific computing, statistical, and physics-based methods to find places where there is evidence of ore-forming processes at work and to predict the locations of ore-grade mineralization in 2D and 3D. You will help build a worldwide dataset that underlies our exploration program, with careful attention to identifying and quantifying uncertainty in the data and in our predictions. You will create models and develop software to accelerate discovery of critical battery metals.

You will join an outstanding team of data scientists and engineers and will work closely with KoBold’s world-renowned geoscientists to incorporate our best understanding of the chemical and physical processes that create ore deposits. Working with your geoscience colleagues, you will create 2D and 3D geologic predictions, identify exploration targets, design field programs to collect data, and use that data to reduce the uncertainty in our predictions and guide the next phase of field work.

Ultimately, your role is to help KoBold make valuable discoveries by building data tools to solve scientific problems. As one of the early members of this team, you will help build these tools from the ground up.

Responsibilities

The Data Scientist will:

• Help develop KoBold’s proprietary software exploration tools.
• Find and curate  geophysical, geochemical, geologic, and geographic data and integrate it into KoBold’s proprietary data system.
• Build models to make statistically valid predictions about the locations of compositional anomalies within the Earth’s crust.
• Create effective visualizations for evaluating model performance and enabling rapid interaction with the underlying data and key features.
• Develop and apply data processing, statistical, and physics-based techniques to geoscientific data — from computer vision to geophysical inversions — and use the results to guide our targeting efforts and inform our acquisition and exploration decisions.
• Present to and collaborate with our external partners and stakeholders.

Qualifications

A great Data Scientist candidate will have:

Technical skills, including extensive experience with:

• Python’s data science packages and general software engineering practices.
• Collaborative software development (git), and familiarity with software engineering best practices like unit test / integration test suites, and CICD pipelines.
• Cloud computing resources.
• Building predictive models, applying them to different problems, and evaluating and interpreting the results.
• Data from a variety of physical systems.
• Geospatial analyses and visualizations.

Technical knowledge:

• Broad skills in and knowledge of applied statistics and Bayesian inference
• Substantial understanding of machine learning algorithms

Training and work experience:

• An advanced degree in the physical sciences, engineering, computer science, or mathematics
• Experience leading technical teams to apply novel scientific approaches to core business problems 

Work practices and motivation:

• Ability to take ownership and responsibility of large projects.
• Ability to explain technical problems to and collaborate on solutions with domain experts.
• Communicates well on a collaborative, cross-functional team. 
• Excitement about joining a fast-growing early-stage company, comfort with a dynamic work environment, and eagerness to take on a range of responsibilities.
• Ability to independently prioritize multiple tasks effectively.
• Intellectual curiosity and eagerness to learn about all aspects of mineral exploration, particularly in the geology domain.
• Enjoys constantly learning such that you are driving insights through using our tools in exploration and willing to work directly with geologists in the field.
• Keen not just to build cool technology, but to figure out what technical product to build to best achieve the business objectives of the company.
• A valid passport and willingness to travel to observe our work at Mingomba or at an exploration site around the world. 

It is also helpful but not required to have experience with:

• Creating machine learning models on geospatial data
• Geostatistics
• Image processing or computer vision
• Distributed computing applications for machine learning and other computations

KoBold Metals is an equal opportunity workplace and an affirmative action employer. We are committed to equal employment opportunity for people of any race, color, ancestry, religion, sex, gender identity, sexual orientation, marital status, national origin, age, citizenship, disability, or veteran status.

This position is Contract: Indefinite 

Location: Democratic Republic of Congo

Recognized for its innovative impact, Udacity part of Accenture continues to empower people with the skills they need to secure the jobs they want.

Our School of Cloud is committed to providing high-quality upskilling opportunities in this rapidly evolving field. We regularly launch new projects and are seeking experienced mentors to join us as external contractors to support our programs and learners.

As new initiatives arise, we will reach out to qualified candidates within this talent pool to provide details on project scope, expected timelines, and compensation. If you are passionate about tackling meaningful challenges and making a difference we invite you to apply and explore this opportunity to collaborate with us. 

You’ll be an excellent fit if you have:

• Proven technical expertise with 5+ years of experience in the relevant field
• A passion for mentoring and helping others succeed in their learning
• Excellent interpersonal skills. You enjoy building relationships, communicating effectively, and fostering a positive learning environment 
• A deep understanding of the tech industry and emerging trends in AI and related fields
• The flexibility to work part-time as an external contractor alongside your current commitments

Mandatory Technical Skills – School of Cloud

• Proficiency in cloud platforms (AWS preferred; GCP/Azure a plus)

• Strong understanding of cloud architecture and core services (compute, storage, networking)

• Experience with DevOps practices (CI/CD, automation, deployment pipelines)

• Familiarity with infrastructure as code (Terraform, CloudFormation)

• Knowledge of containerization and orchestration (Docker, Kubernetes)

• Experience with monitoring and logging tools

• Understanding of security best practices in cloud environments

• Strong problem-solving and troubleshooting skills

Preferred:

• Experience with real-world cloud deployments

• Familiarity with serverless architectures and microservices

Responsibilities:

Your responsibilities as a technical mentor will be divided into three major tasks.

1. 1:1 video calls
2. Virtual Technical Deep-Dive Sessions
3. Group Q&A sessions

Personal 1:1 Session:

• Provide personalized support by addressing learner questions related to course content and projects.
• Prior to the call mentors are expected to review the students' previous project submission(s) - provided by the Mentor Success Team when available - and/or any specific areas of the Nanodegree content or project that the student has expressed confusion or difficulty with.

Technical Deep-Dive Session:

• For concept deep-dives, mentors will come prepared with a slide presentation that reviews a Nanodegree concept in more detail, share different use-cases for the concept to broaden student perspectives and understanding, and hold a Q&A session with the learners.
• For project walkthroughs, a mentor will come prepared with a slide presentation that outlines each element of the rubric to help learners understand expectations and typical problem areas they may encounter. This can include a mentor “grading” a sample submission to demonstrate what mentors are looking for when reviewing projects.

Group Q&A Session:

• Host regular sessions (via Slack or video) to address learner queries related to projects and coursework. No prior preparation required.

Why should you apply? 

• Make an impact by mentoring and contributing to a vibrant, global learning community
• Showcase your expertise and gain recognition for your technical knowledge
• Learn and network with our global community of mentors while staying ahead of the curve on cutting-edge technologies
• Earn additional income with the flexibility to work on your own schedule

Mentoring at Udacity offers a unique opportunity to make a significant impact on the lives of learners and to contribute to achieving our mission. 

If you're passionate about learning, technology and want to make a positive impact, we encourage you to apply to become a mentor at Udacity part of Accenture. 

Let's work together to shape the future of tech education!

Recognized for its innovative impact, Udacity part of Accenture continues to empower people with the skills they need to secure the jobs they want.

Our School of Cybersecurity is committed to providing high-quality upskilling opportunities in this rapidly evolving field. We regularly launch new projects and are seeking experienced mentors to join us as external contractors to support our programs and learners.

As new initiatives arise, we will reach out to qualified candidates within this talent pool to provide details on project scope, expected timelines, and compensation. If you are passionate about tackling meaningful challenges and making a difference we invite you to apply and explore this opportunity to collaborate with us. 

You’ll be an excellent fit if you have:

• Proven technical expertise with 5+ years of experience in the relevant field
• A passion for mentoring and helping others succeed in their learning
• Excellent interpersonal skills. You enjoy building relationships, communicating effectively, and fostering a positive learning environment 
• A deep understanding of the tech industry and emerging trends in AI and related fields
• The flexibility to work part-time as an external contractor alongside your current commitments

Mandatory Technical Skills – School of Cyber

• Strong understanding of cybersecurity fundamentals (network, application, and system security)

• Knowledge of threat detection, vulnerability assessment, and risk management

• Familiarity with security tools (SIEM, IDS/IPS, firewalls)

• Understanding of security frameworks and standards (e.g., NIST, ISO 27001)

• Experience with incident response and monitoring

• Basic knowledge of networking concepts and protocols

• Awareness of cloud security and data protection practices

• Strong analytical and problem-solving skills

Preferred:

• Experience with penetration testing or ethical hacking tools

• Relevant security certifications (e.g., Security+, CEH, CISSP)

Responsibilities:

Your responsibilities as a technical mentor will be divided into three major tasks.

1. 1:1 video calls
2. Virtual Technical Deep-Dive Sessions
3. Group Q&A sessions

Personal 1:1 Session:

• Provide personalized support by addressing learner questions related to course content and projects.
• Prior to the call mentors are expected to review the students' previous project submission(s) - provided by the Mentor Success Team when available - and/or any specific areas of the Nanodegree content or project that the student has expressed confusion or difficulty with.

Technical Deep-Dive Session:

• For concept deep-dives, mentors will come prepared with a slide presentation that reviews a Nanodegree concept in more detail, share different use-cases for the concept to broaden student perspectives and understanding, and hold a Q&A session with the learners.
• For project walkthroughs, a mentor will come prepared with a slide presentation that outlines each element of the rubric to help learners understand expectations and typical problem areas they may encounter. This can include a mentor “grading” a sample submission to demonstrate what mentors are looking for when reviewing projects.

Group Q&A Session:

• Host regular sessions (via Slack or video) to address learner queries related to projects and coursework. No prior preparation required.

Why should you apply? 

• Make an impact by mentoring and contributing to a vibrant, global learning community
• Showcase your expertise and gain recognition for your technical knowledge
• Learn and network with our global community of mentors while staying ahead of the curve on cutting-edge technologies
• Earn additional income with the flexibility to work on your own schedule

Mentoring at Udacity offers a unique opportunity to make a significant impact on the lives of learners and to contribute to achieving our mission. 

If you're passionate about learning, technology and want to make a positive impact, we encourage you to apply to become a mentor at Udacity part of Accenture. 

Let's work together to shape the future of tech education!

Recognized for its innovative impact, Udacity part of Accenture continues to empower people with the skills they need to secure the jobs they want.

Our School of Data is committed to providing high-quality upskilling opportunities in this rapidly evolving field. We regularly launch new projects and are seeking experienced mentors to join us as external contractors to support our programs and learners.

As new initiatives arise, we will reach out to qualified candidates within this talent pool to provide details on project scope, expected timelines, and compensation. If you are passionate about tackling meaningful challenges and making a difference we invite you to apply and explore this opportunity to collaborate with us. 

You’ll be an excellent fit if you have:

• Proven technical expertise with 5+ years of experience in the relevant field
• A passion for mentoring and helping others succeed in their learning
• Excellent interpersonal skills. You enjoy building relationships, communicating effectively, and fostering a positive learning environment 
• A deep understanding of the tech industry and emerging trends in AI and related fields
• The flexibility to work part-time as an external contractor alongside your current commitments

Mandatory Technical Skills – School of Data

• Proficiency in Python and/or SQL
• Strong understanding of data analysis, statistics, and data modeling concepts
• Experience with data manipulation and visualization tools (Pandas, NumPy, Excel, Tableau/Power BI)
• Familiarity with ETL processes and data pipelines
• Understanding of databases (relational and/or NoSQL)
• Knowledge of data warehousing concepts and architecture
• Ability to work with large datasets and optimize data workflows
• Experience with data quality, validation, and governance practices
• Strong problem-solving and analytical skills

Preferred:

• Experience with big data tools (Spark, Hadoop)
• Familiarity with cloud platforms (AWS, GCP, Azure)

Exposure to real-world data projects (analytics, engineering, or architecture)

Responsibilities:

Your responsibilities as a technical mentor will be divided into three major tasks.

1. 1:1 video calls
2. Virtual Technical Deep-Dive Sessions
3. Group Q&A sessions

Personal 1:1 Session:

• Provide personalized support by addressing learner questions related to course content and projects.
• Prior to the call mentors are expected to review the students' previous project submission(s) - provided by the Mentor Success Team when available - and/or any specific areas of the Nanodegree content or project that the student has expressed confusion or difficulty with.

Technical Deep-Dive Session:

• For concept deep-dives, mentors will come prepared with a slide presentation that reviews a Nanodegree concept in more detail, share different use-cases for the concept to broaden student perspectives and understanding, and hold a Q&A session with the learners.
• For project walkthroughs, a mentor will come prepared with a slide presentation that outlines each element of the rubric to help learners understand expectations and typical problem areas they may encounter. This can include a mentor “grading” a sample submission to demonstrate what mentors are looking for when reviewing projects.

Group Q&A Session:

• Host regular sessions (via Slack or video) to address learner queries related to projects and coursework. No prior preparation required.

Why should you apply? 

• Make an impact by mentoring and contributing to a vibrant, global learning community
• Showcase your expertise and gain recognition for your technical knowledge
• Learn and network with our global community of mentors while staying ahead of the curve on cutting-edge technologies
• Earn additional income with the flexibility to work on your own schedule

Mentoring at Udacity offers a unique opportunity to make a significant impact on the lives of learners and to contribute to achieving our mission. 

If you're passionate about learning, technology and want to make a positive impact, we encourage you to apply to become a mentor at Udacity part of Accenture. 

Let's work together to shape the future of tech education!

Position Overview:
Mentors are industry professionals who provide world-class technical support to our learners in their Nanodegree journey. All our mentors are handpicked through a rigorous selection process so that we can truly be #studentfirst. 

As a mentor, you will be meeting virtually on a weekly basis with your students for community support, live office hours and other activities. 

Required skills/qualifications:

• Fluency in English both written and spoken
• Eligibility Requirements: Mentors must have at least 7 years of industry experience or a master’s degree in the relevant field.
• Technical competence: Swift Programming Language (including advanced topics like Protocols, Generics, and Error Handling), SwiftUI for building modern, declarative iOS user interfaces, SwiftData and/or Core Data for robust data persistence and state management, iOS Networking, Concurrency, and Application Authentication protocols, Xcode environment and the complete iOS application lifecycle.
• Graduate from a Udacity Nanodegree Program is a added plus
• Experience teaching technical concepts and public speaking, organizing technical talks, or webinars
• Positive character, trusted by the students, creating emotional ties in the group
• Flexibility at their current job to take this challenge part-time as an external contractor

Responsibilities:

Your responsibilities as a technical mentor will be divided into three major tasks.

1. 1:1 video calls
2. Virtual Technical Deep-Dive Sessions
3. Group Q&A sessions

Personal 1:1 Session:

• Provide personalized support by addressing learner questions related to course content and projects.
• Prior to the call mentors are expected to review the students' previous project submission(s) - provided by the Mentor Success Team when available - and/or any specific areas of the Nanodegree content or project that the student has expressed confusion or difficulty with.

Technical Deep-Dive Session:

• For concept deep-dives, mentors will come prepared with a slide presentation that reviews a Nanodegree concept in more detail, share different use-cases for the concept to broaden student perspectives and understanding, and hold a Q&A session with the learners.
• For project walkthroughs, a mentor will come prepared with a slide presentation that outlines each element of the rubric to help learners understand expectations and typical problem areas they may encounter. This can include a mentor “grading” a sample submission to demonstrate what mentors are looking for when reviewing projects.

Group Q&A Session:

• Host regular sessions (via Slack or video) to address learner queries related to projects and coursework. No prior preparation required.

Why should you apply? 

• Earn additional income working from the comfort of your own home
• Contribute to a vibrant, international student community '
• Stay updated with the latest in cutting-edge technologies

  •  

Engineering at Brex

Engineering at Brex is about building systems that scale with speed and intention. Our teams span Software, Data, Security, and IT, and operate with high autonomy and deep collaboration. We tackle hard technical problems, own our outcomes, and push for excellence at every level — from architecture to deployment. It’s an environment where engineering is a craft, and builders become leaders.

What you’ll do

As an Application Security Engineer, you will contribute to finding and responding to security vulnerabilities across the Brex platform. In this role, you will participate in code reviews, design reviews, penetration testing, and vulnerability management. You will contribute to tooling that performs static and dynamic testing of the Brex platform and supports secure developer workflows. Application Security is part of our wider Financial Scale organization, which means you will work closely with Security Operations, GRC, Product Security, Front End Platform, and IT Infrastructure teams.

We're looking for individuals with a solid foundation in penetration testing and a curiosity for finding vulnerabilities in complex systems. You should have experience identifying and documenting vulnerabilities across common vulnerability classes and be able to communicate their risk clearly to engineering and product teams. This role is highly cross-functional — you'll have the opportunity to collaborate with engineering teams across Brex and grow your security expertise in a fast-moving environment.

Brex is pioneering the next wave of AI-driven financial services for dynamic, high-impact companies like Coinbase, Robinhood, and Anthropic. As we integrate AI across our product suite, this role will give you hands-on experience contributing to AI security at Brex. You'll apply emerging AI security best practices to help secure our agentic features, identify attack surfaces introduced by LLM-powered systems, and partner with product and engineering teams to build AI capabilities our customers can trust with their critical financial operations.

Responsibilities

• Identify vulnerabilities across common vulnerability classes (e.g., OWASP Top 10), document findings clearly, and communicate risk to drive remediation efforts
• Participate in penetration testing and design reviews alongside senior engineers, contributing to the identification of vulnerabilities and insecure designs
• Contribute to internal tooling and automation efforts that support SAST and DAST testing of the Brex platform and promote secure development practices
• Collaborate with engineering and product teams to support the design of secure product features
• Actively contribute to a culture of security awareness through knowledge sharing and peer learning

Requirements

• 4+ years of work experience in Application Security or a related role
• Demonstrated ability to find and document vulnerabilities in complex systems, with clear communication of business risk
• Hands-on experience with a subset of secure development activities, such as code review, threat modeling, or penetration testing
• Experience identifying security risks in AI/ML systems — such as prompt injection, model manipulation, or data poisoning — through work experience, personal projects, CTFs, or bug bounties
• Familiarity with agentic workflows and the ability to reason about attack surfaces introduced by LLM-powered features
• Knowledge of Python or scripting languages to automate tasks and build tooling
• Collaborative mindset paired with strong written and verbal communication skills

Bonus points

• Experience with Kotlin, gRPC, GraphQL, Kubernetes
• Previous experience as a software engineer
• Experience with securing distributed systems in AWS and cloud environments
• Experience with web application security reviews
• Contributions to the wider technical community — open source, public research, CTF participation, blogging, CVEs, or presentations
• Experience submitting to bug bounty or responsible disclosure programs
• Published AI security research or contributions to AI security frameworks

Compensation

The expected salary range for this role is $152,000 - $190,000. However, the starting base pay will depend on a number of factors including the candidate’s location, skills, experience, market demands, and internal pay parity. Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package.

Brex LLC is a wholly owned subsidiary of Capital One, N.A.

fal is the generative media ecosystem powering the next generation of AI products. We build the infrastructure, tools, and model access that teams need to move from idea to production, and do it at scale without compromise. For developers and enterprises, fal is the foundation that makes generative media not just possible, but practical: a unified platform where high-performance inference, orchestration, and observability come together to unlock new categories of AI-native products.

As generative media reshapes industries across a market projected to grow by hundreds of billions over the next decade, fal is becoming the ecosystem that ambitious teams build on.

About the Role

fal is seeking a highly skilled Technical Support Engineer to provide high-quality support and service to our Customer base and Internal teams. You will play a critical role in providing advanced support directly to our Customers, and collaborating with engineering and Sales teams to enhance our products and services.

Key Responsibilities

• Resolve technical issues and provide advanced support directly to customers, including support for fal’s platform (APIs, UI issues, and troubleshooting errors).
• Support users across multiple products via email, chat, and Slack.
• Troubleshoot integration issues, including authentication problems (OAuth, API keys), HTTP errors, malformed requests, rate limits, and API misconfigurations.
• Analyze API logs, error messages, and request/response payloads to identify root causes.
• Manage support tickets by responding within SLA timeframes, escalating complex issues appropriately, and maintaining detailed case records.
• Reproduce, escalate, and document bugs or edge cases in collaboration with engineering.
• Provide structured feedback to engineering teams regarding platform reliability, performance bottlenecks, and customer-reported issues, serving as an internal advocate for customer pain points and product improvement.
• Assist with testing and validation of new features, releases, and infrastructure changes before production deployment.
• Write and maintain technical content, including use case guides, how-to examples, FAQs, solutions for common errors, and documentation of issues and resolutions for the knowledge base.
• Improve developer documentation to make integration as self-serve as possible.

What You Bring

• Strong analytical thinking, technical problem-solving skills, and a systematic approach to troubleshooting technical issues across web platforms, cloud environments, and enterprise software.
• Experience supporting and troubleshooting REST APIs and backend services, including working directly with REST APIs and authentication flows (OAuth2, API keys).
• Experience using monitoring, logging, and observability tools to support production systems.
• Familiarity with AI platforms, machine learning systems, or data-intensive applications.
• Excellent written and verbal communication and interpersonal skills, with the ability to clearly and empathetically explain complex technical concepts to both technical and non-technical stakeholders/users in English.
• Experience providing technical support with a customer-first mindset, demonstrating patience, empathy, and a focus on user success.
• Strong technical writing abilities with experience creating and maintaining user guides, FAQs, and troubleshooting documentation.
• Demonstrated ability to prioritize effectively, respond quickly to critical issues with a sense of urgency, and maintain composure under pressure.
• Ability to work independently and collaboratively, handling multiple concurrent support cases while maintaining quality and meeting response time commitments.
• Self-starter who can identify process improvements and proactively address recurring issues (Initiative).
• Familiarity with tools such as Slack, Linear, Notion, and GitHub.
• Familiarity with authentication protocols like REST APIs, OAuth2, JWT, and API key auth.

Why fal

At fal, you’ll join a rapidly scaling company defining how AI moves from experimentation to production. This is an opportunity to shape the future of enterprise AI adoption while building deep relationships with customers who are transforming their industries through intelligent technology.

What we offer at fal

• Interesting and challenging work
• Competitive salary and equity
• A lot of learning and growth opportunities
• Regular team events and offsites

fal is the generative media ecosystem powering the next generation of AI products. We build the infrastructure, tools, and model access that teams need to move from idea to production, and do it at scale without compromise. For developers and enterprises, fal is the foundation that makes generative media not just possible, but practical: a unified platform where high-performance inference, orchestration, and observability come together to unlock new categories of AI-native products.

As generative media reshapes industries across a market projected to grow by hundreds of billions over the next decade, fal is becoming the ecosystem that ambitious teams build on.

About this role:

You are an ML Researcher who has a broad view of the generative media space and an update-to-date awareness of new methods in the space. You can spot products and features that are missing in the current market and work backwards to develop new methods to solve customers problems. Sometimes your work will require entirely novel training or architecture developments. While other times it will require fine-tuning pre-existing models with novel datasets. You are able to consider the expected return on investment of different approaches, and more excited about using research to develop novel products, then research for research's sake.

Tech:

• You will have access to our massive GPU cluster for training and inference

• Some core technologies we use include Python, torch, diffusers, and the fal Python SDK

• You'll work alongside a team dedicated to quickly iterating on and deploying new AI breakthroughs

• You have work published in ICCV, ICML, Neurips, CVPR

What we offer at fal

• Interesting and challenging work

• Competitive salary and equity

• A lot of learning and growth opportunities

• We are currently hiring in downtown San Francisco. We prefer to work in-person but we also offer remote work opportunities for exceptional candidates.

• We offer visa sponsorship and will help you relocate to San Francisco.

• Health, dental, and vision insurance (US)

• Regular team events and offsites

Why this role exists:

We are growing our AI team and are looking for a Senior AI / Generative AI Engineer to build and operate production-grade LLM-based systems across the platform.

This role focuses on applied Generative AI: internal AI automation, chatbots, AI assistants, and MCP-based services already used in production. You will work on top of an existing ML and data platform, building systems that are reliable, maintainable, and practical to operate.

This is a hands-on engineering role with end-to-end ownership. Not research. Not prompt-only.

What you’ll drive:

Technical Ownership

• Own LLM-based systems from design to production support.
• Design architectures for Generative AI systems (RAG, agents, tool/context serving).
• Make clear trade-offs between quality, latency, cost, and complexity.
• Set engineering standards for building and operating AI systems in production.
• Act as a technical reference point for applied GenAI.

Hands-on AI Engineering

• Build and maintain production LLM-powered systems.
• Develop chatbots and AI assistants with predictable behavior.
• Design and implement RAG pipelines (ingestion, embeddings, retrieval, generation).
• Implement agent-style workflows with tool/function calling.
• Build and integrate MCP servers or similar context/tool-serving components.
• Integrate AI systems with backend services and ML infrastructure.

Production & Reliability

• Design evaluation frameworks for LLM outputs.
• Monitor LLM behavior, system health, and costs in production.
• Address performance, scalability, and operational issues.
• Handle production incidents and contribute to long-term fixes.
• Design systems with failure modes, fallbacks, and graceful degradation.

What makes you a GR8 fit

Must-have

• Strong software engineering background.
• Proven experience building LLM-based systems in production.
• Hands-on experience with: LLMs and RAG architectures, Chatbots or conversational AI systems, Tool/function calling and agent-style patterns.
• Experience with context or tool-serving systems (MCP or similar).
• Experience integrating AI into real-time production products.
• Understanding of performance, scalability, and cost trade-offs.
• Cloud experience (preferably AWS).
• Strong engineering fundamentals (testing, debugging, reviews, observability).

Nice-to-have

• Multi-agent or workflow-based systems.
• Fine-tuning or adapting open-source LLMs.
• ML platforms / MLOps background.
• Experience operating latency- or cost-sensitive systems.
• Production incident ownership in AI systems.

Tech Stack:

• Languages: Python, SQL.
• LLMs: Amazon Bedrock, OpenAI, Anthropic, open-source models.
• Frameworks: LangChain, LangGraph, Pydantic, Langfuse.
• RAG: Embeddings, Qdrant / FAISS / OpenSearch / pgvector.
• Cloud: AWS (ECS / EKS / Lambda, S3, OpenSearch).
• DevOps: Docker, Git, CI/CD.

About the role

As a Data Analyst at Sporty, you’ll be mining through petabytes of data to provide key insights that drive core business decisions. You’ll create dashboards that are used on a daily basis by product managers, traders, and executives, as well as provide in-depth reports on various areas of the business with complete freedom on your methodology.

Furthermore, our analysts play a key role in ensuring the stability of our reporting infrastructure. They are vital in maintaining our ability to deliver accurate and consistent reporting to the various stakeholders. 

Our Stack

• MySQL
• Python
• AirFlow
• AWS
• Metabase
• Redshift
• Linux

What you'll be doing

• Analysing large and complex datasets to identify trends, patterns, and actionable insights that support business decision-making.
• Designing, defining, and monitoring  core business KPIs to evaluate product and operational performance.
• Partnering with product, marketing, and business teams to translate business questions into structured data analysis.
• Delivering clear, concise, and data-driven insights to stakeholders and shareholders through presentations and reports.
• Developing and maintaining dashboards and reporting frameworks that enable self-service analytics.
• Conducting ad hoc analysis to support strategic initiatives and emerging business needs.
• Ensuring data quality and integrity by validating datasets and collaborating with data engineering teams when needed.

What you'll bring

• 3+ years experience in a similar data-driven role 
• Excellent working knowledge of SQL 
• Familiarity with Python and a range of BI and data visualization tools
• Strong knowledge with ETL data pipelines
• Strong knowledge of A/B Testing
• Familiarity with Airflow
• Understanding of principles of relational databases and data warehouse 
• Strong understanding of sports and gaming will be beneficial 
• Proactive and self-driven with excellent analytical skills 
• Ability to thrive in a fast paced and dynamic environment 
• Great communication skills

Even better if you have

• Hands-on experience with machine learning
• Relevant knowledge or experience in the gaming industry
• Working knowledge of Python
• Experience with Airflow and Metabase

What’s in it for you

• Sporty is a remote first company in pursuit of sustainability
• A competitive salary + individual performance based bonuses every quarter
• 28 days paid annual leave
• Our core working hours are 10am-3pm in your local time zone with flexibility outside of this
• Referral bonuses & flash bonuses
• Top of the line equipment
• Annual company retreats to provide great internal networking opportunities

Interview Process

• Remote video screening with our Talent Acquisition Team 
• Offline Take home assignment
• Remote video interview with Team Members (90 Mins)

If you're interested, we encourage you to apply! Every application is reviewed by a member of our team (AI is not used in our recruitment process), and we aim to respond within 48 hours.

#LI-remote

Project Overview

We are sourcing independent 3D Modeling and Python Specialists to provide their expertise for a specialized AI 3D asset collection project. As AI models increasingly generate and interact with 3D environments, their accuracy relies entirely on robust, expert-crafted training data. The objective of this project is to autonomously produce collision-accurate 3D meshes from 2D reference images, write procedural generation scripts, and deliver structured programmatic outputs (JSON/JS) to train AI systems on geometric construction and trajectory logic.

Project Deliverables & Scope

Operate autonomously to generate precise 3D assets and programmed outputs. Expected deliverables include:

• Procedural Geometry Generation: Writing Blender Python (bpy) scripts or Three.js/JavaScript code to procedurally generate 3D geometry using geometric primitives and Boolean operations (union, subtraction, extrusion).
• Mesh Alignment & Export: Producing collision-accurate meshes from 2D reference images (masked + RGB), capturing accurate screenshot alignments, and exporting assets to .obj, .glb, or similar formats.
• Structured Output & Trajectory Logging: Producing programmatic JSON/JS outputs representing the mesh and maintaining meticulous trajectory logs that capture sequential build actions for reproducibility.
• Quality Assurance & Workflow Adherence: Auditing all assets against strict quality checklists before submission, maintaining precise file naming conventions, and sustaining high-volume output within a structured annotation platform.

Required Expertise

To successfully fulfill the deliverables of this project, Contractors must possess a strong blend of 3D modeling fundamentals and programmatic scripting skills.

Core skillset includes:

• Demonstrable proficiency in Blender Python scripting (bpy) and/or Three.js/JavaScript. Note: You must be able to write code to generate outputs; GUI-only modeling experience will not qualify for this project.
• Deep understanding of geometric primitives (cubes, spheres, cylinders, cones) and Boolean operations, with a focus on low-poly construction rather than high-fidelity, subdivision-heavy sculpting (e.g., ZBrush).
• Proven experience creating collision-accurate 3D meshes from 2D reference images.
• Highly detail-oriented with the discipline to maintain trajectory logs, strictly follow file naming conventions, and self-audit work to maintain high reliability scores.
• Preferred Experience: Background in game asset creation, familiarity with screen recording/keylogging tools, or prior experience within AI/ML data annotation workflows.

We offer a fixed pay rate of $22 per hour. As a contractor you’ll supply a secure computer and high‑speed internet; company‑sponsored benefits such as health insurance and PTO do not apply.

Engagement Type: Freelance / Independent Contractor

Workplace Type: Remote

POSITION SUMMARY

CIQ is seeking a highly experienced Senior or Principal AI Engineer to own and drive AI/ML innovation across our product portfolio. This role sits at the intersection of AI engineering and systems performance - the right candidate brings deep expertise in model inference optimization, training workflows, and production AI deployment, combined with a strong instinct for performance at the systems level.

In this role, you will be the AI engineering standard-bearer at CIQ. You will design and build turnkey AI workload examples - both internal reference pipelines and customer-facing solutions - ensuring that CIQ’s AI story is always compelling, practical, and demonstrably best-in-class. You will integrate deeply with Fuzzball, CIQ’s cloud-native computing platform, running AI workloads end-to-end through it and helping customers do the same.

KEY RESPONSIBILITIES

This role is leveled as Senior or Principal based on qualifications and demonstrated capabilities.

AI Inference Optimization

• Design, implement, and tune inference pipelines for large language models and other AI workloads, targeting maximum throughput and minimum latency.
• Apply state-of-the-art optimization techniques: quantization (INT4/INT8/FP8), model pruning, speculative decoding, continuous batching, and kernel fusion.
• Optimize inference-serving stacks, including vLLM, TensorRT-LLM, ONNX Runtime, and similar frameworks, for production deployment on CIQ’s OS platform.
• Profile and tune GPU/accelerator utilization across the full inference stack, from model weights and memory bandwidth to CUDA kernels and driver overhead.
• Establish inference performance baselines and regression detection across CIQ’s AI-focused solutions.

AI Training Workflows

• Design and optimize distributed training pipelines for large-scale models, including data, model, tensor, and pipeline parallelism strategies.
• Tune training efficiency through mixed-precision training, gradient checkpointing, activation recomputation, and optimizer-level improvements.
• Benchmark training throughput and scaling efficiency across multi-GPU and multi-node configurations on CIQ’s infrastructure.
• Collaborate with infrastructure and performance teams to resolve training bottlenecks at the network (RDMA/InfiniBand), storage, and OS layers.
• Stay current on frontier model architectures and training techniques, including MoE models, RLHF pipelines, and emerging post-training methods.

Turn-Key AI Examples & Reference Workloads

• Build and maintain a library of turn-key AI workload examples that run on CIQ’s platform, covering inference serving, fine-tuning, batch processing, RAG pipelines, and agentic workflows.
• Develop both internal reference pipelines for CI/testing and customer-facing examples designed for immediate productivity on CIQ’s OS and Fuzzball.
• Package workloads using containers to deliver portable, reproducible AI environments across HPC and cloud-native settings.
• Create compelling, well-documented demos and reference architectures that communicate CIQ’s AI capabilities to technical and business audiences alike.
• Partner with product and customer success teams to translate real-world AI use cases into reusable, production-quality examples.

AI Engineering & Tooling

• Build and maintain AI-powered engineering tooling - leveraging LLM-based agents, automated analysis pipelines, and AI-assisted code generation to accelerate the broader engineering organization.
• Champion an AI-first development culture: identify opportunities where AI tooling can reduce toil, surface insights faster, and improve software quality across CIQ’s products.
• Evaluate and integrate emerging AI frameworks, libraries, and hardware as they become relevant to CIQ’s customers and product roadmap.
• Contribute to open-source AI tooling and frameworks where relevant, reinforcing CIQ’s technical reputation in the community.

Fuzzball Integration

• Develop deep expertise in CIQ’s Fuzzball platform, its architecture, scheduling model, and workload execution environment.
• Integrate AI training, inference, and pipeline workloads into Fuzzball-based CI/CD and production pipelines.
• Contribute to Fuzzball’s AI workload story: ensure the platform is a first-class environment for running AI workloads efficiently and at scale.
• Help characterize and improve Fuzzball’s performance for AI-specific access patterns and resource demands.

Cross-Functional Collaboration

• Develop broad familiarity with the full CIQ product portfolio, including Rocky Linux and RLC (and its variants), Fuzzball, Apptainer, and Warewulf, and understand how AI workloads interact with each layer.
• Collaborate closely with the Performance Engineering team to ensure AI workloads benefit from and contribute to CIQ’s systems-level optimization work.
• Partner with product and customer success teams to translate real-world AI pain points into engineering priorities and measurable outcomes.
• Document and communicate findings clearly, from low-level profiling data to executive-level summaries.
• Contribute to technical publications, conference presentations, and thought leadership that reinforces CIQ’s reputation as an AI-forward infrastructure company.

NEEDED TO SUCCEED

Successful candidates will have: 

• Deep, hands-on expertise in LLM inference optimization: including serving frameworks (vLLM, TensorRT-LLM, ONNX Runtime), quantization techniques, and GPU memory management.
• Strong background in distributed AI training, including frameworks such as PyTorch FSDP, DeepSpeed, Megatron-LM, or JAX/XLA.
• Proven experience building production AI pipelines and packaging AI environments for reproducible, portable deployment (containers, Apptainer/Singularity, or equivalent).
• Fluency with GPU/accelerator profiling tools: NVIDIA Nsight, PyTorch Profiler, CUDA performance analysis, and related tooling.
• Familiarity with HPC environments: job schedulers (Slurm, PBS), parallel filesystems, RDMA/InfiniBand, and MPI,  and the intersection of HPC with modern AI workloads.
• Experience integrating AI workloads into CI/CD pipelines and building automated testing and benchmarking frameworks.
• Comfort using and building with LLM-based tools and agentic frameworks to accelerate engineering work.
• Excellent analytical skills and able to form hypotheses, design experiments, and draw actionable conclusions from complex profiling data.
• Strong written and verbal communication skills; able to present findings to both deeply technical audiences and business stakeholders.
• A collaborative, humble, and always-learning mindset, combined with the confidence to champion AI engineering as a first-class concern.

EDUCATION AND EXPERIENCE

• PhD in Computer Science, Machine Learning, Computer Engineering, or a related field strongly preferred; equivalent industry experience considered.
• 10+ years of industry experience in AI/ML engineering, systems software, or a closely related discipline.
• Demonstrated track record of measurable, published, or production-deployed AI performance improvements at scale.
• Experience working in or with open-source AI ecosystems (PyTorch, Triton, ONNX, Hugging Face, etc.) is a strong plus.
• Background with cloud-native, containerized, and/or HPC computing environments preferred.

CIQ is seeking a highly experienced Senior or Principal Performance Engineer to own and drive system-level and application-level performance across our product portfolio. This is an AI-first role, both in methodology and focus area,  and the right candidate will bring deep expertise in operating system internals, kernel and userspace performance, and the performance demands of modern AI workloads, HPC environments, general-purpose computing, and production service workloads.

In this role, you will be the standard-bearer for performance at CIQ. Our performance-focused solutions must always be the fastest in the industry, and you will be responsible for ensuring that remains true. You will be intimately involved with Fuzzball, CIQ's cloud-native computing platform, learning its architecture end-to-end and integrating workloads - both user-facing and CI/testing pipelines - directly through it.

Position Summary

This role is leveled as Senior or Principal based on qualifications and demonstrated capabilities.

Benchmarking & Profiling

• Design, develop, and maintain comprehensive benchmarking frameworks spanning OS, kernel, and application layers.
• Profile workloads across CPU, memory, I/O, network, and accelerator (GPU/NPU) subsystems to identify bottlenecks and optimization opportunities.
• Establish and own performance baselines across CIQ's product and solutions portfolio.
• Leverage AI-assisted tooling and agentic workflows to accelerate profiling, analysis, and root cause identification.

Regression Detection & Resolution

• Build and maintain automated performance regression-detection pipelines integrated into CI/CD workflows using Fuzzball.
• Identify, triage, and resolve regressions across user space, kernel space, and application layers with urgency and rigor.
• Collaborate across engineering teams to root-cause regressions introduced by upstream kernel changes, compiler updates, or library modifications.

Proactive Performance Engineering

• Drive proactive performance improvements - not just reactive fixes - to keep CIQ solutions ahead of the competition across every layer of the stack.
• Own core operating system performance: kernel subsystem tuning (scheduler, memory management, I/O, networking), system call overhead reduction, and user space library and runtime optimizations.
• Identify and implement kernel-level enhancements, including patches, configuration changes, and upstream contributions that yield measurable performance gains for CIQ's customer workloads.
• Optimize for AI inference and training workloads, including LLM serving, model parallelism, and accelerator utilization.
• Tune performance for HPC workloads, including modeling, simulation, and tightly coupled parallel applications (MPI, OpenMP, etc.).
• Optimize general computing and service workloads - web services, databases, messaging systems, and other production software that runs on CIQ's OS platform.
• Work at all levels of the stack: compiler flags, kernel parameters, scheduler tuning, NUMA topology, memory allocation, and application-level algorithmic improvements.

AI-First Approach

• Champion an AI-first engineering philosophy - use AI tools, agents, and automation to accelerate your own productivity and the quality of performance insights.
• Identify and prioritize optimization opportunities that directly impact AI training throughput and inference latency/cost.
• Stay current on state-of-the-art techniques in ML system performance, including quantization, batching strategies, kernel fusion, and hardware-software co-design.

Fuzzball Integration

• Develop deep expertise in CIQ's Fuzzball platform - its architecture, scheduling, and workload execution model.
• Integrate performance benchmarks, regression tests, and user-facing workloads into Fuzzball-based pipelines.
• Contribute to the performance characterization of Fuzzball itself, ensuring the platform adds minimal overhead and scales efficiently.

Cross-Functional Collaboration

• Develop broad familiarity with the full CIQ product portfolio — including Rocky Linux and RLC (and its variants), Fuzzball, Apptainer (formerly Singularity), and Warewulf - understanding how performance considerations span and interconnect across each.
• Collaborate deeply with the engineering teams behind each product line to surface, prioritize, and deliver performance improvements that benefit customers across the entire CIQ ecosystem.
• Partner with product and customer success teams to translate real-world performance pain points into engineering priorities and measurable outcomes.
• Document and communicate findings clearly - from low-level profiling data to executive-level summaries.
• Contribute to technical publications, conference presentations, and thought leadership that reinforces CIQ's reputation for performance excellence.

NEEDED TO SUCCEED

Successful candidates will have:

• A deep, principled understanding of operating system internals -  Linux kernel scheduler, memory subsystem, I/O stack, and networking.
• Proven experience identifying and resolving performance regressions across kernel and user space in production environments.
• Hands-on expertise with profiling and tracing tools: perf, eBPF/bpftrace, Flamegraphs, VTune, Nsight, strace, ftrace, and similar.
• Strong background in AI/ML workload performance - including inference optimization (TensorRT, ONNX, vLLM, or similar), training efficiency, and GPU/accelerator utilization.
• Experience with HPC workloads: MPI, OpenMP, parallel filesystems, RDMA/InfiniBand, and job schedulers (Slurm, PBS, etc.).
• Familiarity with modern AI-first development workflows and comfort using LLM-based tools to accelerate engineering work.
• Experience building automated performance testing and regression detection pipelines in CI/CD environments.
• Excellent analytical skills -  able to form hypotheses, design experiments, and draw actionable conclusions from complex data.
• Strong written and verbal communication skills; able to present findings to both deeply technical audiences and business stakeholders.
• A collaborative, humble, and always-learning mindset -  combined with the confidence to champion performance as a first-class engineering concern.

EDUCATION AND EXPERIENCE

• PhD in Computer Science, Computer Engineering, or a related field strongly preferred; equivalent industry experience considered.
• 15+ years of industry experience in systems performance engineering, OS development, or a closely related discipline.
• Demonstrated track record of measurable, published, or production-deployed performance improvements at scale.
• Experience working in or with open-source ecosystems (Linux kernel contributions, upstream community engagement) is a strong plus.
• Background with cloud-native, containerized, and/or HPC computing environments preferred.

CIQ is looking for a Technical Product Marketing Manager who brings technical depth to execute content, enablement, and programs that require genuine infrastructure expertise to succeed.

This role operates from established positioning and messaging to produce the assets that move technical buyers through the funnel and equip sales teams to win complex deals. You will own CIQ's technical content library and webinar program, build the sales enablement collateral that reps and SEs actually use, and provide the competitive intelligence that sharpens how we sell. You will work closely with product management, engineering, and sales to stay current on the product and close the gap between what CIQ builds and what the market understands about it.

Position Summary

Technical Content

• Write and produce technical content across formats that practitioner audiences (developers, sysadmins, and infrastructure architects) actually read and trust: solution briefs, whitepapers, technical blogs, benchmark writeups, and data sheets.
• Partner with engineering and product to surface technically rich stories (benchmark results, architecture decisions, integration patterns, customer outcomes) and turn them into content that supports buying decisions.
• Apply established messaging and positioning consistently across all assets, maintaining accuracy and discipline across every format.
• Manage production volume and editorial calendar in coordination with the broader marketing team.

Webinar Program

• Own CIQ's webinar program end-to-end: strategy, calendar, production, promotion coordination, and performance tracking.
• Run a recurring cadence of webinars that support product launches, pipeline generation, and customer education, built around subject-matter experts and executives.
• Produce technical video content for YouTube and social distribution, including product demos, explainers, and launch assets.
• Track and report on attendance, engagement, and conversion, and use the data to improve program performance over time.

Technical Sales Enablement

• Build and maintain the technical collateral that equips sales and sales engineering to run evaluations and win competitive deals: battle cards, technical comparison guides, objection-handling frameworks, demo scripts, and proof-of-concept guides.
• Identify enablement gaps in partnership with sales leadership and sales engineering, and prioritize collateral that directly supports pipeline.
• Support RFP and RFI responses with accurate, current technical content.
• Keep enablement materials current as the product evolves and the competitive landscape shifts.

Technical Competitive Intelligence

• Monitor competitor products, positioning, announcements, and community activity across the Enterprise Linux, HPC, and AI infrastructure landscape.
• Produce and maintain competitive battle cards and technical comparison guides that help sales teams navigate contested deals.
• Provide regular competitive updates to sales, marketing, and product teams with clear, actionable takeaways.

Needed to Succeed 

Required

• Hands-on knowledge of Linux: distributions, package management, system administration, and the Enterprise Linux landscape. You can read a technical spec, spot a weak benchmark claim, and write content that earns credibility with practitioners.
• Proven track record producing technical content: solution briefs, whitepapers, technical blogs, or data sheets for developer and infrastructure audiences.
• Experience building technical sales enablement materials in close partnership with sales and sales engineering teams.
• Strong written communication skills. You write clearly, precisely, and without filler.
• Ability to work cross-functionally with product management, engineering, and sales in a fast-moving environment.

Strongly Preferred

• Familiarity with HPC, AI/ML infrastructure, Kubernetes, or hybrid cloud environments.
• Experience with competitive intelligence in the Linux or open source ecosystem.
• Experience coordinating or producing webinar programs, including technical demos and product launches.
• Background engaging with open source communities: Rocky Linux, CentOS, Fedora, or similar projects.

EXPERIENCE AND EDUCATION

• 3 to 6 years of experience in technical marketing, technical content, or product marketing in the Linux, open source, or enterprise infrastructure software space.
• Demonstrated ability to produce high-quality technical content for practitioner audiences with limited editorial oversight.
• Proven track record supporting sales teams with technical collateral that gets used.
• No specific degree required. A strong portfolio and demonstrable technical fluency matter more than credentials.

We are in the process of staffing up our development team with outstanding talent to tackle a brand new sci-fi remake project using Unreal Engine 5. This is a contract position, with the potential for full-time employment based on project needs and performance. This is an excellent opportunity for someone who is tired of being a cog in a bigger machine, but would rather work closely with a small team where they can have a meaningful impact on the final game.

With the goal of capturing and preserving the essence of the games that we all grew up with, we welcome applicants with unique skillsets and backgrounds. If you are passionate about making a meaningful contribution to some of the most significant and beloved games in the industry, we’d love to hear from you!

REPORT STRUCTURE

• This role reports directly to the Art Lead and Producer while working closely with the Project Lead and other Environment Artists.
• This role is responsible for liaising with asset artists of all rankings, concept artists, and level designers to fulfill the shared vision of the project.

ESSENTIAL DUTIES AND RESPONSIBILITIES:

• Creating hard surface environment art and props in Blender, based on concept art.
• Implementing and presenting finished art assets in the Unreal 5 Editor.
• Working closely with the project lead, environment artists, and concept artists to refine the overall vision and aesthetic for the project.
• Collaborating with other team members, passing unfinished work back and forth for improvements.
• Learning and adapting to non-traditional art workflows and processes, while willing to learn new skills. We are looking for that “Indie dev” mindset.
• Responds well to feedback and constructive criticism on their submissions and workflows, and demonstrates willingness to iterate on assets.

PREFERRED QUALIFICATIONS

• Creatively motivated, curious learn-it-all with a growth mindset.
• Comfortable operating in ambiguous and unregimented environments. 
• 3 – 5+ years of experience directly related to the role using Unreal Engine or similar engines.
• Past experience with Blender or willing to learn Blender.
• Experience creating procedural tileable textures in Substance Designer or equivalent.
• Have experience creating First-Person game art.
• Likes Sci-Fi and Horror media.
• Appreciation for retro video games.

We are on the lookout for ambitious artists who want a chance to flex their creative muscles. Interested in joining a talented team and developing your skills? Does working on an exciting remake project appeal to you? If so, we encourage you to apply!

Let's start with the role

As a Senior Data Scientist, you will be at the forefront of our AI developments,  analyzing data, building machine learning models to support our AI products and working along with the rest of the tech team to create successful AI products. The ideal candidate will have a deep understanding of machine learning algorithms and proven extensive experience in building  ML/AI powered applications in production.

As a Senior Data Scientist you will:

• Translate product requirements to machine learning problems and  identifying areas where AI can have the most business impact;
• Analyze data to identify significant patterns and generate actionable insights;
• Perform exploratory data analysis EDA and feature engineering to support the modeling process;
• Apply best practices on model selection, parameter tuning etc.;
• Run comparative experiments for model training;
• Analyze ML metrics to evaluate different potential solutions;
• Manage the full lifecycle of AI features, from data collection to model design and to implementation and optimization in production environments;
• Mentor and guide junior members, sharing knowledge and leading complex projects. 

What you’ll bring:

Must have:

• Expert knowledge of machine learning algorithm and respective theory;
• Extensive hands-on experience in delivering machine learning models to production;
• Experience in developing MLOps solutions;
• Knowledge of the Python machine learning ecosystem and solid software background in OOP;
• Knowledge of Deep learning;
• Strong skills in teamwork, communication, and analytical thinking;
• Fluency in English, both oral and written.

Nice to have:

• Experience with Big Data tools (Spark/PySpark) and cloud environment, ideally Azure / Databricks;
• Experience in recommendation systems;
• Experience in GenAI application development;
• Relevant industry experience i.e. Fraud detection, CRM, Sportsbook etc.

Kaizen Gaming Perks

• 🕑 Hybrid way of working & remote options
• 🏃 A buddy will support you with your onboarding
• 💸 Competitive pay and bonus scheme
• 👩‍⚕️ Private health insurance for you and your family
• 💰 Monthly meal allowance 
• ⭐Developmental 360° feedback framework
• 📚 Unlimited access to Udemy & continuous training

#LI-Remote

What You'll Be Doing:

• Work directly on building, deploying, and iterating on machine learning models and agentic workflow features that address real customer needs
• Apply ML techniques to improve accuracy and overall system performance, ensuring solutions are robust, reliable, and production-ready for customers
• Improve, implement, and validate ML models and agentic workflows supporting submission intake, underwriting decision-making, and automation tasks
• Deploy and adapt autonomous agent behaviors into customer-specific workflows, translating core AI capabilities into practical solutions
• Develop and maintain evaluation pipelines, monitoring systems, and performance metrics to ensure reliability under evolving production conditions
• Monitor production systems via logs, metrics, and user feedback to diagnose issues, debug failures, and drive resolution
• Take end-to-end ownership of problems — implementing fixes or coordinating with engineering and infrastructure teams as needed
• Partner closely with Data Science and Engineering teams to iterate quickly and deliver high-impact solutions

Who We Hope You Are:

• Bachelor's or master’s degree in Mathematics, Operations Research, Data Science, Artificial Intelligence, or a related field with foundational knowledge in machine learning, deep learning, and natural language processing.
• Experience working in a fast-paced, cross-functional environment
• 2+ years of experience as a Machine Learning Engineer, Applied Scientist, or similar role delivering ML solutions in production
• Experience working directly with customers or stakeholders to translate business needs into technical solutions
• Hands-on experience adapting, extending, and deploying ML/LLM systems (including agentic workflows and prompt engineering) in real-world use cases
• Strong experience with experimentation, evaluation, and monitoring pipelines, including analyzing production logs and debugging systems
• Experience deploying and iterating on ML systems in cloud environments in collaboration with engineering teams
• Proven track record of ownership — driving issues through to resolution in production systems

Base Salary Range: $155,000 - $180,000
Final offer amounts are determined by multiple factors including candidate location, experience and expertise and may vary from the amounts listed above. Total compensation package also includes bonus, stock options, benefits and additional perks. 

Federato is on a mission to defend the right to efficient, equitable insurance for all. We enable insurers to provide affordable coverage to people and organizations facing the issues of today - the climate crisis, cyber-attacks, social inflation, etc. Our vision is understood and well funded by those behind Salesforce, Veeva, Zoom, Box, etc.

Federato’s AI/ML-driven platform leverages deep reinforcement learning to help insurance companies optimize the portfolio of risks they insure, allowing them to continue to provide fair and equitable pricing in difficult-to-price areas. Our category-defining ‘RiskOps’ solution drives better underwriting decisions by operationalizing underutilized data investments and surfacing real-time risk and portfolio insights. We focus on putting insurance underwriters back in the driver’s seat, helping them meet their goals while providing an important service to society.

Role Overview

As a Senior Product Manager – Distribution, you’ll spearhead the development of tools that enable insurers to manage and optimize their distribution channels effectively. Your focus will be on creating solutions that streamline agent onboarding, licensing, compensation, and performance tracking, while ensuring compliance across various jurisdictions. You’ll collaborate closely with engineering, design, and go-to-market teams to deliver products that meet the evolving needs of carriers, MGAs, and brokers.

What You’ll Be Doing

• Define and execute the product roadmap for distribution management, focusing on agent/broker onboarding, licensing, and compliance automation.
• Develop features that provide real-time access to agent and agency data, facilitating efficient service requests and status updates.
• Implement performance analytics tools to monitor producer effectiveness, enabling data-driven decisions for channel optimization.
• Design and manage commission structures and incentive programs, ensuring accurate and timely compensation for distribution partners.
• Ensure seamless integration with third-party systems, such as comparative raters and agency management platforms, to enhance operational efficiency.
• Stay abreast of regulatory changes and ensure the product remains compliant with state and federal insurance distribution laws.

Who We Hope You Are

• 5+ years of product management experience
• 3+ years of focus on insurance distribution.
• Strong understanding of P&C insurance distribution models, including captive agents, independent agents, brokers, and digital channels.
• Proven track record of delivering SaaS products that address complex regulatory requirements and integrate with existing insurance systems.
• Excellent communication skills, with the ability to translate technical concepts into clear business value propositions.
• Experience working in cross-functional teams, collaborating with engineering, design, legal, and sales departments.
• A BA/BS degree in business, computer science, engineering, or a related field is required.
• Preferred: MBA or MS in Technology Management, Data & Analytics, or Insurance Management or other insurance related fields.
• Ability to travel to East Coast roughly 20% of the time or based on product spike timing

$170,000 - $200,000 a year
Final offer amounts are determined by multiple factors including candidate location, experience and expertise and may vary from the amounts listed above. Total compensation package also includes stock options, bonus, benefits and additional perks. 

Here at Federato, your capabilities are important, but culture fit is quintessential. We move fast, are eager to listen to our users, take a first principles approach to solving problems, and value learning and the ability to change our minds. Most importantly, we're here to have fun. Our ability to make a difference starts with our people. We would love to work with you! 

We are an equal-opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender expression, sexual orientation, age, marital status, veteran status or disability status. We will provide reasonable accommodation to individuals with disabilities to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation at talent@federato.ai

We are building a brand-new AI product and are looking for a technical Senior Product Manager to lead it from concept to market. This is a greenfield opportunity: you will define what the product is, who it serves, and how it works. A core part of this vision is leveraging Customer Data Platform (CDP) capabilities to unify merchant customer data and power intelligent, personalized messaging experiences at scale.

You will partner closely with machine learning engineers, prompt engineers, product designers, and product engineers — and you'll be expected to go deep technically, not just facilitate. You can read code, write SQL, interrogate data pipelines, and stress-test ML model outputs firsthand.

All positions at Postscript are fully remote.

Primary Duties

• Own the end-to-end product lifecycle for a new AI product, from discovery through launch and iteration
• Define product vision, strategy, and roadmap grounded in deep customer understanding, AI/ML feasibility, and ecommerce CDP architecture
• Architect and drive CDP strategy — including customer identity resolution, behavioral event ingestion, real-time profile unification, audience segmentation, and downstream activation — with enough technical depth to make meaningful build vs. buy decisions
• Define the data contracts and schema design governing how first- and zero-party data flows from Shopify storefronts into unified customer profiles, and how those profiles are consumed by AI models and automation systems
• Partner directly with MLE and prompt engineering to evaluate model capabilities, define evaluation harnesses, set guardrails, and co-design human-in-the-loop experiences — not just review specs, but participate in technical design reviews
• Partner with Engineering to design segmentation and activation frameworks that enable merchants to reach the right customer with the right message at the right moment, powered by real-time CDP data signals
• Design and run rapid experiments to validate hypotheses; define success metrics, instrument tracking, and analyze results yourself where possible
• Write rigorous product specs, success criteria, and evaluation frameworks for AI features — covering accuracy, latency, safety, and user trust
• Collaborate cross-functionally with engineering, design, CSMs, and leadership to ship and iterate
• Develop and maintain a deep competitive understanding of the AI and CDP landscape in ecommerce/SMS
• Serve as the internal and external evangelist for the AI product vision

What We'll Love About You

• 5+ years of product management experience, with 2+ years owning AI/ML-powered products in a hands-on technical capacity
• Strong technical foundation — you have an engineering, data science, or comparable background; you're comfortable in code reviews, data model discussions, and system design conversations
• Direct, hands-on experience with CDP architecture — you understand event streaming, identity graphs, audience segmentation pipelines, and real-time data activation, and can evaluate tradeoffs in how they're built
• Fluency with ecommerce data models: purchase history, browse behavior, LTV, churn signals, RFM segmentation, and how these signals feed personalization and predictive ML models
• Direct experience taking a product from zero-to-one; you've made foundational technical and architectural decisions, not just roadmap ones
• Experience in ecommerce SaaS, martech, or messaging platforms is highly preferred
• Deep technical fluency with AI/ML: you can discuss model architectures, prompt engineering, fine-tuning, evaluation metrics, and data pipelines as a peer — not just a stakeholder
• You write SQL, read Python, and can instrument your own analytics — you don't wait for a data analyst to answer your product questions
• Understanding of data privacy, consent, and compliance (TCPA, GDPR, CCPA) as they apply to CDP data collection, storage, and activation at scale
• Strong product intuition for when AI adds real value vs. when it doesn't — you are not an AI hype person, you are an AI pragmatist
• Demonstrated ability to ship fast, learn from data, and iterate — you prefer a working v1 over a perfect PRD
• Excellent written and verbal communication; you can translate complex technical concepts for merchants, CSMs, and executives without losing precision
• You have built something with AI tools — a prototype, a script, an internal tool. You don't just spec; you ship. Bonus if you can show us.

What You'll Love About Us

• Salary range of USD $150k–$206k base plus significant equity (we do not have geo-based salaries)
• High-growth startup — plenty of room for you to directly impact the company and grow your career
• Work from home (or wherever)
• Fun — we're passionate and enjoy what we do
• Competitive compensation and opportunity for equity
• Flexible paid time off
• Health, dental, vision insurance

About Brightfield

At Brightfield, we are revolutionizing the way organizations manage their workforce. As a pioneer in workforce analytics, our AI-powered platform, TDX (Talent Data Exchange), helps the world’s largest companies make smarter decisions about how they design, source, and manage their extended workforce.

With over $573B in real-world workforce spend data from 139 countries, we provide the insights our customers need to reduce costs, manage risk, and unlock new levels of agility and performance. Since 2006, we’ve been trusted by the Global 2000 to guide strategic workforce decisions with clarity and confidence.

We are a fully remote team of data-driven innovators, problem solvers, and industry experts who value flexibility, ownership, and continuous learning. At Brightfield, how we work together matters—and we’re building a company where curious, driven people can do their best work.

About the Role

Brightfield is seeking a Senior Data Integration Engineer to play a critical role in designing, building, and scaling the data pipelines and integrations that power TDX. This role is focused on integrating TDX with the customer’s data, workflows and processes.

You will lead the data integration and implementation of TDX API, data pipelines and integrations across internal systems, customer data sources, and third‑party platforms. This is a hands-on, senior-level role for an engineer who thrives in complex data environments, brings strong architectural judgment, and takes pride in building reliable and scalable data solutions. You will partner closely with Product, Data & Analytics, and Engineering to support Brightfield’s customers.

What You’ll Do

• Develop and manage integrations between internal systems, customer environments, SaaS platforms, and data warehouses using APIs and workflow orchestration tools.
• Analyze customer’s workflows and data sources to integrate, ingest and unify customer’s data and onboard to TDX platform.
• Implement TDX APIs with customer and partner solutions.
• Support Brightfield’s existing taxonomy and data processes, models, mappings, and transformation logic to support consistent, high-quality data output across the Brightfield platform.
• Optimize data pipelines for performance, scalability, resiliency, monitoring, and data quality.
• Ensure data integrity, security, and compliance by implementing validation, access controls, and governance best practices.
• Collaborate cross-functionally with Product, Data Science, Analytics, and Customer-facing teams to translate customer’s business and product requirements into technical solutions.
• Contribute to continuous improvement of Brightfield’s data analysis, infrastructure, tooling, and best practices.

What You Bring

• 5+ years of experience in data engineering, data integration, or backend software engineering, with a strong focus on building production data pipelines.
• Bachelor’s degree in Computer Science, Information Systems, or a related field, or equivalent practical experience.
• Expert-level proficiency in Python and SQL, with deep experience transforming and working with large, complex datasets (structured and unstructured).
• Hands-on experience implementing customer workflows through REST APIs, including working with JSON data formats.
• Strong experience working with AWS and other cloud platforms and modern data warehouses (e.g., Snowflake).
• Solid understanding of data modeling, ETL/ELT best practices, and data quality management.
• Proven ability to troubleshoot complex data and integration issues across distributed systems.
• Comfort working in a remote-first, highly collaborative environment with distributed teams.
• Experience integrating enterprise or customer data at scale, particularly in analytics, SaaS, or data platform environments.
• Familiarity with event-driven architectures, message queues, or streaming technologies.
• Experience supporting AI, analytics, or machine learning workflows through reliable data pipelines.
• Knowledgeable in using AI to build and deploy data solutions.
• Prior experience mentoring or leading technical initiatives across teams.

Founding CTO at Redbolt.ai 

Redbolt AI is the security and reliability layer for in-production AI systems. It’s the commercial open core evolution of NVIDIA's open source red-teaming framework, garak, and NeMo Guardrails. Redbolt builds on trusted open source technology and adds the security layer that empowers users to deploy AI at scale.

We're looking for a Founding CTO to build Redbolt into an era-defining AI technology. As the founding CTO, you’ll define initial product vision, build commercial features and an engineering team to accelerate product velocity, get closer to customers, and deepen open-source contributions to NVIDIA's Garak. 

The opportunity

The market for AI security is early but moving fast. The risks of unguarded AI systems are well-known but the infrastructure to protect against these risks don’t really exist yet.

Redbolt starts with a meaningful foundation: NVIDIA's open-source tools already have community traction and credibility. Your job is to turn that into a product and company that enterprises depend on.

If you've been looking for the right moment to build something that matters, this is it.

The role

As the technical founder, you will: 

• Defining the vision. What should this company become? What's the product roadmap that turns open-source adoption into a billion-dollar enterprise business? You'll own that strategy.
• Building the foundation. You're writing code, shipping product, and making architectural decisions that will compound for years.
• Hiring the team. You'll recruit and lead the engineers who build Redbolt alongside you.
• Partner with a CEO. Once there's traction, OCV will lead a search for a co-founder CEO to partner with you - someone to own go-to-market, fundraising, and business operations while you own product and engineering. You'll be deeply involved in selecting that person.

About you 

You're a deep technical expert in LLM security, ML engineering, or adjacent infrastructure. You understand how these systems fail and how to prevent them.

You've operated at a high level technically: staff/principal engineer, engineering lead, or founded something yourself.

You're entrepreneurial. You've been waiting for the right opportunity to build something from the ground up, with real support and resources behind you.

You have conviction about the AI security space. You've thought about what needs to exist and have opinions about how to build it.

About Open Core Ventures

"As software has eaten the world, open source is eating software." — Peter Levine

Commercial open source software companies have captured hundreds of billions in enterprise value—yet this represents only a fraction of the trillions delivered by OSS today. We're still in the early innings.

GitLab co-founder and executive chair Sid Sijbrandij started Open Core Ventures (OCV) to accelerate this opportunity. We start companies around promising open source projects—the same approach that took GitLab from OSS project to IPO in seven years.

We recruit founders and help them reach escape velocity. We’ve started 30+ companies around open source projects, including Fleet, FlowFuse, and Mermaid Chart. 

You can read more about our approach in our public handbook.

Bridgeway is seeking a Senior Data Engineer to design, develop, and maintain our data warehouse infrastructure. This role involves working closely with analysts, engineers, and other stakeholders to shape our data architecture, ensuring secure and efficient data pipelines, and enabling advanced analytics across the organization. The ideal candidate will have a strong background in data engineering, data warehousing, and ELT processes, along with a passion for optimizing data systems.

This is a remote position, with preference given to East Coast candidates.

Key Responsibilities:

• Design, develop, and maintain a scalable data warehouse/lakehouse environment.
• Design and implement ELT pipelines to ingest, transform, and deliver high-quality data for analytics and reporting, incorporating current best practices, such as “pipelines as code”.
• Ensure data security and compliance, including role-based access controls for security, encryption, masking, and governance best practices to ensure compliant handling of sensitive information.
• Optimize performance of data workflows and storage for cost efficiency and speed.
• Partner with engineers, analysts, and stakeholders to meet data needs; balance cost, performance, simplicity, and time-to-value while mentoring teams and documenting standards.
• Define and implement robust testing frameworks, enforce data contracts, and establish observability practices including lineage tracking, SLAs/SLOs, and incident response runbooks to maintain data integrity and trustworthiness.
• Monitor, troubleshoot, and resolve data & automation issues.
• Collaborate within an Agile-Scrum framework and develop comprehensive technical design documentation to ensure efficient and successful delivery.
• Serve as a trusted expert on organizational data domains, processes, and best practices.

Requirements:

• 5+ years of experience in data engineering and ELT with a focus on large-scale data platforms
• 3+ years of experience with Databricks
• Advanced proficiency in analytical SQL, including ANSI SQL, T-SQL, and Spark SQL
• Strong Python skills for data engineering
• Expertise in data modeling
• Hands-on experience with data quality and observability practices (tests, contracts, lineage tracking, alerts)
• Practical knowledge of orchestration tools and CI/CD concepts for data workflows
• Excellent communication and a track record of technical leadership and mentoring
• Strong understanding of integrating data solutions with AI and machine learning models
• Strong problem-solving skills and attention to detail.
• Experience with version control systems like Git preferred
• Strong understanding of data governance and best practices in data management, with hands-on experience using Unity Catalog
• Hands-on experience in designing and managing data pipelines using Delta Live Tables (DLT) on Databricks
• Streaming and ingestion tools, such as Kafka, Kinesis, Event Hubs, Debezium, or Fivetran
• DAX, LookML, dbt; Airflow/Dagster/Prefect, Terraform; Azure DevOps; Power BI/Looker/Tableau; GitHub CoPilot knowledge is a plus
• Bachelor’s degree in Computer Science, Information Technology, or a related field. Master’s degree preferred

Growe welcomes those who are excited to:

• Define and drive the company-wide AI strategy, identifying key opportunities for AI transformation across products, engineering, and operations;

• Develop and maintain the AI adoption roadmap, including the selection of AI technologies, tools, and platforms;

• Integrate AI solutions into company processes, including software development, data analysis, QA/testing, documentation, and customer support workflows;

• Build and support internal platforms and tools that enable teams to effectively leverage AI capabilities;

• Collaborate with engineering, analytics, and product teams to identify and implement practical AI use cases;

• Lead internal AI initiatives, including experimentation, proof-of-concept projects, and rapid evaluation of emerging AI tools;

• Educate and support teams in adopting AI tools and best practices through workshops, training sessions, and internal knowledge sharing;

• Promote and develop a strong AI-driven culture across the organization;

• Provide internal AI consulting to business units, helping identify opportunities and evaluate the potential ROI of AI initiatives.

We need your professional experience:

• 8+ years of experience in technology companies, preferably in software engineering, platform engineering, or data/AI-related roles;

• Proven experience implementing new technologies and driving technical transformations at an organizational level;

• Hands-on experience working with modern AI technologies and ecosystems, including LLM-based tools and AI-powered workflows;

• Strong understanding of AI solution architecture and integration of AI tools into developer workflows;

• Experience leading process improvements or transformations in engineering teams;

• English - upper-intermediate or higher (able to communicate in technical discussions);

• Experience implementing AI coding assistants or AI tools for developer productivity (will be a plus);

• Experience working with AI agents or agent-based systems (will be a plus);

• Experience building internal developer platforms or engineering productivity tools (will be a plus);

• Experience working with data platforms or ML infrastructure (will be a plus).

We appreciate if you have those personal features:

• Strategic thinking and the ability to identify high-impact AI opportunities;

• Strong communication skills and the ability to explain complex technical concepts in a clear and accessible way;

• Ability to influence teams and drive change without direct managerial authority;

• Strong problem-solving and experimentation mindset;

• Curiosity and passion for emerging technologies and innovation;

• Ability to balance long-term strategy with fast experimentation and practical delivery.

We are seeking those who align with our core values:

• GROWE TOGETHER: Our team is our main asset. We work together and support each other to achieve our common goals;

• DRIVE RESULT OVER PROCESS: We set ambitious, clear, measurable goals in line with our strategy and driving Growe to success;

• BE READY FOR CHANGE: We see challenges as opportunities to grow and evolve. We adapt today to win tomorrow.

Growe is a leading business advisory and services group in iGaming and Entertainment. We are creators of strategies that work and solutions that scale. Combining strategic vision with hands-on expertise, we help businesses navigate the fast-evolving industry, seize new opportunities, enter new markets, and achieve sustainable growth.

Our expertise spans across key areas: from business and brand strategy development to market research, marketing solutions, IT customization, organizational structuring, and talent management. We partner with our clients to turn challenges into competitive advantages, ensuring successful market entries and long-term global expansion.

At Growe, there are no limits to our ambitions! We boldly break stereotypes and strive for unparalleled achievements in an ever-changing industry. 

Are you ready to grow with us?

Growe welcomes those who are excited to:

• Define and drive the company-wide AI strategy, identifying key opportunities for AI transformation across products, engineering, and operations;

• Develop and maintain the AI adoption roadmap, including the selection of AI technologies, tools, and platforms;

• Integrate AI solutions into company processes, including software development, data analysis, QA/testing, documentation, and customer support workflows;

• Build and support internal platforms and tools that enable teams to effectively leverage AI capabilities;

• Collaborate with engineering, analytics, and product teams to identify and implement practical AI use cases;

• Lead internal AI initiatives, including experimentation, proof-of-concept projects, and rapid evaluation of emerging AI tools;

• Educate and support teams in adopting AI tools and best practices through workshops, training sessions, and internal knowledge sharing;

• Promote and develop a strong AI-driven culture across the organization;

• Provide internal AI consulting to business units, helping identify opportunities and evaluate the potential ROI of AI initiatives.

We need your professional experience:

• 8+ years of experience in technology companies, preferably in software engineering, platform engineering, or data/AI-related roles;

• Proven experience implementing new technologies and driving technical transformations at an organizational level;

• Hands-on experience working with modern AI technologies and ecosystems, including LLM-based tools and AI-powered workflows;

• Strong understanding of AI solution architecture and integration of AI tools into developer workflows;

• Experience leading process improvements or transformations in engineering teams;

• English - upper-intermediate or higher (able to communicate in technical discussions);

• Experience implementing AI coding assistants or AI tools for developer productivity (will be a plus);

• Experience working with AI agents or agent-based systems (will be a plus);

• Experience building internal developer platforms or engineering productivity tools (will be a plus);

• Experience working with data platforms or ML infrastructure (will be a plus).

We appreciate if you have those personal features:

• Strategic thinking and the ability to identify high-impact AI opportunities;

• Strong problem-solving and experimentation mindset;

• Strong communication skills and the ability to explain complex technical concepts in a clear and accessible way;

• Ability to influence teams and drive change without direct managerial authority;

• Curiosity and passion for emerging technologies and innovation;

• Ability to balance long-term strategy with fast experimentation and practical delivery.

We are seeking those who align with our core values:

• GROWE TOGETHER: Our team is our main asset. We work together and support each other to achieve our common goals;

• DRIVE RESULT OVER PROCESS: We set ambitious, clear, measurable goals in line with our strategy and driving Growe to success;

• BE READY FOR CHANGE: We see challenges as opportunities to grow and evolve. We adapt today to win tomorrow.

What we offer:

• Medical insurance and financial aid;

• Benefit Cafeteria (compensation for the gym/stomatology/psychological service & etc.);

• 100 % paid sick leaves;

• Paid vacation;

• Annual salary review (based on performance);

• Quarter bonuses according to the company’s policy;

• Individual annual training budget which allows to visit paid conferences, training sessions, English lessons, workshops, etc.;

• Growe University (Leadership Programs, Knowledge sharing, Webinars, etc.);

• Personal development plan;

• Corporate events and team-building activities;

• Growe Care (Well-being Program);

• Free lunches at the office.

About Customer.io

Over 8,000 companies — from scrappy startups to global brands — use our platform to send billions of emails, push notifications, in-app messages, and SMS every day. Customer.io powers automated communication that people actually want to receive. We help teams send smarter, more relevant messages using real-time behavioral data.

About the role

Hi, I'm Bill, VP of Operations at Customer.io. I'm looking for an Information Security Specialist to join our team.

As our first dedicated InfoSec hire, you'll be the go-to person for securing our organizational systems, data, and operations across a globally distributed, remote-first company. Reporting to the VP of Operations, you'll work closely with IT, Compliance, and Platform Security to protect customer data, maintain our compliance posture, and help the company adopt AI tools thoughtfully and securely. This is a experienced individual contributor role — you'll be hands-on with tooling and policy, not managing a team.

We're a company that embraces AI — we use it in our product and want our team to use it to do their best work. We need someone who sees AI as an opportunity to enable, not just a risk to lock down. You'll help us build practical guardrails that let people move fast with AI while protecting customer data and staying compliant. If your instinct is to ban first and ask questions later, this isn't the right fit. If you get excited about figuring out how to say "yes, and here's how we do it safely" — keep reading.

What we value

• Pragmatic security — You focus on real risk reduction, not perfection, and avoid slowing the business down unnecessarily.
• Enablement over restriction — You default to “yes, if…” and help teams adopt tools like AI safely and confidently.
• Ownership and autonomy — You take responsibility for your domain and can operate independently in a fast-moving environment.
• Clarity and usability — You create policies and guidance that are simple, practical, and actually followed.
• Cross-functional partnership — You build trust and work effectively across IT, Engineering, Legal, and GTM teams.
• Curiosity and adaptability — You stay current on evolving threats, especially in AI and SaaS environments.
• Calm under pressure — You bring structure and clear thinking during incidents and audits.
• High standards, right-sized — You balance quality with speed and scale appropriately for a growing company.

What you’ll do

• AI Governance & Enablement — Develop and maintain a practical framework for evaluating, approving, and securely deploying AI tools across the organization. Assess data exposure risks, establish acceptable use guidelines, and help teams adopt AI confidently — not fearfully.
• Vulnerability Management — Own our vulnerability management program — scanning, triaging, coordinating remediation, and tracking resolution across infrastructure, applications, and endpoints.
• Compliance — Support and improve our compliance posture (SOC 2, ISO 27001), including evidence collection, control monitoring, and audit support. Ensure AI usage aligns with our regulatory and contractual obligations.
• Incident Response — Lead security incident response — investigate alerts, coordinate containment, document root causes, and drive improvements.
• Security Tooling — Manage and tune security tooling (EDR, SIEM/logging, DLP, email security, identity and access management controls).
• Vendor & Third-Party Risk — Conduct security reviews of third-party vendors, SaaS integrations, and AI services — evaluating data handling, model training policies, and privacy commitments.
• Policy & Standards — Develop and maintain security policies, standards, and runbooks that are practical and right-sized for our environment — including clear, usable AI usage policies that people actually follow.
• Application Security Partnership — Partner with Platform Security and Engineering on application security topics — advising on secure architecture, reviewing configurations, and supporting penetration testing efforts.
• Security Awareness — Drive security awareness initiatives — phishing simulations, training programs, AI literacy education, and ongoing guidance for the team.
• Threat Intelligence — Monitor and assess emerging threats (including AI-driven attack vectors), and translate them into actionable recommendations for leadership.

What we're looking for

• 7+ years of experience in information security, cybersecurity, or a related technical discipline.
• A pragmatic, enabling mindset toward AI — you understand the risks but you're not reflexively restrictive. You've thought critically about how organizations can use AI tools like LLMs, coding assistants, and automation responsibly.
• Hands-on experience with compliance frameworks (SOC 2, ISO 27001) — you've been through audits and know how to keep controls healthy.
• Strong knowledge of cloud security fundamentals (AWS, GCP, or similar), endpoint protection, and identity/access management.
• Experience with security tooling — EDR, SIEM, vulnerability scanners, DLP, and email security platforms.
• Solid understanding of incident response processes and the ability to stay calm under pressure.
• Familiarity with SaaS environments, remote-first operations, and the security challenges that come with them.
• Strong written communication skills — you can write a clear policy, a concise incident report, and a Slack message that people actually read.
• Self-starter mentality — you're comfortable working autonomously and prioritizing across competing demands.
• Experience evaluating AI/ML tools for data privacy and security risks is a strong plus.
• Experience in vendor risk assessment and third-party security reviews.
• Security certifications (CISSP, CISM, CompTIA Security+, or similar) are a plus but not required.

Compensation & Benefits

We believe in transparency. Starting salary for this role is $151,000 to $170,000 (or equivalent in local currency) depending on experience and subject to market rate adjustment.

We know our people are what make us great, and we’re committed to taking great care of them. Our inclusive benefits package supports your well-being and growth, including 100% coverage of medical, dental, vision, mental health, and supplemental insurance premiums for you and your family. We also offer 16 weeks paid parental leave, unlimited PTO, stipends for remote work and wellness, a professional development budget, and more.

See full benefits here →

Our Process

No gotchas, no trick questions - just a clear, human process designed to help both of us make an informed decision.

• 30-minute call with Recruiter
• 45-minute video call with Hiring Manager
• 3 x 30-minute video calls with Cross-Functional Partners (IT, Compliance, Platform Security)
• 45-minute Case & Case Review Call with Team

All final candidates will be asked to complete a background check and employment verifications as part of our pre-employment process.

Customer.io recognizes the stifling impact of systemic injustice on diverse communities. We commit to using our influence to increase inclusion and equity within the tech industry. We strive to build an inclusive team culture, implement bias-free hiring practices, and develop community partnerships to expand our global impact.

Zoom is the only video conference platform that we use, virtual interviews will be conducted using the video capability (i.e., not via the chat), and offers will be extended in writing on official Customer.io letterhead. Please be vigilant in all of your job search activity, and if you have any questions please contact jobs@customer.io.

Join us!

Check out our careers page for more information about why you should come work with us! We believe in empathy, transparency, responsibility, and, yes, a little awkwardness. If you’re excited by what you read — apply now.

Senior Yield Data Analyst

Job Summary

We are seeking a highly analytical and data-driven individual to optimize and maximize monetization across our publisher partners. As a key member of our Yield team, you will monitor, analyze, and enhance yield performance using complex data sets, producing actionable insights and strategies. We are looking for a curious and proactive Senior Yield Data Analyst who enjoys deep-diving into analysis and technical investigations, and producing creative ideas in a dynamic fast-paced environment.  

Responsibilities:

• Identify, analyze, and interpret trends in complex data sets to maximize publisher yield.
• Extract and analyze bidstream and auction data to surface trends, anomalies, and optimization opportunities. Provide recommended changes to enhance bidding dynamics and yield outcomes.
• Develop and maintain analytic monitoring and alerting systems for yield management, ensuring rapid identification and diagnosis of revenue-affecting issues and performance drops.
• Produce data-driven summaries and actionable insights for internal teams and executives, ensuring technical accuracy and clear communication for a range of technical and non-technical stakeholders.
• Support Yield Managers and Publishers in implementing data-driven best practices and monetization strategies.
• Monitor macro and micro trends, providing proactive alerting on network or site-level issues and tracking key KPIs (ie fill rate, eCPM, revenue, latency, viewability).
• Investigate and respond to technical or operational issues to maximize yield without compromising user experience, site speed, or ad quality.
• Build and maintain AB testing frameworks, reporting, and result interpretation.
• Perform root cause analysis for data or ad-serving problems; provide technical QA for new publisher onboarding, AB tests, product launches, and engineering initiatives.
• Act as a subject matter expert for Freestar data capabilities. Support data integrity projects.
• Project manage yield and data initiatives from planning through successful implementation, ensuring clarity, accountability, and effective communication. Collaborate cross-functionally with Business Intelligence, Product, Engineering, Customer Success, Business Development, and Demand.
• Stay up-to-date on industry trends and emerging yield opportunities; recommend and pilot innovative monetization solutions.

Qualifications:

• Bachelor’s degree or relevant work experience in Mathematics, Economics, Statistics, Business Analytics, Data Science, or a related quantitative field.
• 3-5 years of experience in ad tech; preferably at a digital publisher or ad management company. Minimum 2 years of experience in an analytical role.
• Deep familiarity with header bidding, Prebid, SSPs, DSPs, ad serving, Google Ad Manager, and major ad tech platforms.
• Advanced skills in Excel and Google Sheets. Familiarity with working with large complex data sets.
• Experience in SQL and willingness to adopt new data tools as needed.
• Hands-on experience with data visualization and presentation tools to tell compelling stories with data.
• Adept at deriving analytic insights, and presenting findings to external and internal stakeholders.
• Strong written and verbal communication skills to explain complex yield strategies and analytical insights to technical and non-technical audiences.

 We’d also like to see:

• Detail-oriented and organized, able to manage multiple priorities and stakeholders.
• Proactive, resourceful, and self-motivated; possesses intellectual curiosity and the drive to independently explore and solve problems.
• Able to work independently as well as part of a broader team.
• Experience with AB testing a plus.
• Experience with LLMs or machine learning tools for data analysis is a bonus.
• Adaptable and comfortable wearing many hats in a rapidly changing industry and company setting.

 What you can expect in return:

• Full-Time, Salaried Position
• The opportunity to be part of something BIG

Freestar is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran or disabled status, or genetic information.

This role is not eligible for visa sponsorship

About Freestar

Freestar helps publishers maximize revenue through best-in-class ad monetization technology and data-driven yield strategy. Our Yield Managers are the analytical engines behind that success. They uncover insights, drive optimizations, and turn data into meaningful outcomes for both individual publishers and our broader network.

Position Overview

We’re looking for a data-savvy detail-oriented Yield Manager who thrives on solving complex problems and making sense of data. This is a highly analytical role that works closely with cross-functional teams to uncover monetization opportunities, lead investigations into yield performance, identify issues affecting publisher success, and partners with internal teams on strategic initiatives. You will provide both proactive insights on network-level performance and trends while also serving as the escalation resource for publisher-facing teams around yield optimization and strategy. 

Key Responsibilities

• Analyze publisher and network-level performance data to uncover trends, inefficiencies, and revenue growth opportunities.
• Translate complex data into clear actionable insights and produce yield optimization plans for publishers and Customer Success Managers.
• Diagnose and resolve performance issues, identifying root causes of revenue fluctuations and guiding teams to solutions.
• Develop and validate hypotheses on monetization strategies; measure and communicate results through concise, data-driven reporting.
• Lead or support macro-level strategic yield initiatives that advance network-wide optimizations and revenue growth.
• Serve as an escalation point for advanced yield inquiries and collaborate on strategic projects that improve publisher performance.
• Collaborate cross-functionally with Data Science, Product, and Engineering teams to continually improve auction mechanics, floor pricing models, ad product development, and ad layout strategies.
• Enhance analytics frameworks and tools by partnering with internal teams, refining dashboards, and creating standard methodologies for performance measurement.
• Support pre-sales and onboarding, using analytical insights to assess revenue potential and design optimal ad layouts.
• Monitor alerts and coordinate with Customer Success, Demand and Support teams to resolve issues before they affect revenue.
• Collaborate cross-functionally on A/B testing to support Yield-related experiments, and provide analyses to quantify lift and inform broader adoption.

Required Skills & Experience

• 1+ years in ad tech, yield optimization, programmatic operations, or data analytics; preferably at a digital publisher or ad management company.
• Experience working with Looker or other BI visual reporting tools.
• Strong command of Google Ad Manager (GAM), Google Analytics, Prebid, and header bidding environments.
• Prior experience in publisher monetization, yield management, or revenue optimization.
• Ability to analyze auction metrics (eCPM, RPM, RPS, fill rate, latency) and turn insights into measurable actions.
• Working knowledge of site performance tools (e.g., Chrome Console, Professor Prebid, Google Lighthouse, WebPageTest) and understanding of user experience tradeoffs in monetization.
• Excellent verbal and written communication skills; comfortable presenting complex ideas to both technical and non-technical stakeholders.
• Ability to translate technical or statistical findings into clear business insights.
• Excellent problem-solving, time management, and prioritization skills in a fast-paced environment.

Preferred Qualifications

• Proficiency in SQL and comfort working with large complex datasets.
• Understanding of machine learning or statistical modeling approaches.
• Exposure to programmatic performance analysis, demand-side bidding methodologies, and AB testing frameworks.
• Proactive, resourceful, and self-motivated; possesses intellectual curiosity and the drive to independently explore and solve problems.
• Adaptable and comfortable wearing many hats in a rapidly changing industry and company setting.

Personality & Working Style

• Relentlessly curious, analytical thinker who loves finding clarity in complex data.
• Able to balance micro-level deep dives with macro-level pattern recognition.
• Persuasive and confident in presenting findings to cross-functional partners.
• Adaptable, proactive, and eager to take ownership from insight to execution.

Why Freestar

• Highly collaborative, data-obsessed culture with growth opportunities across analytics, product, and strategy tracks.
• Access to cutting-edge monetization data and tech stack at scale.
• Competitive compensation and benefits.
• A supportive environment where ideas, experimentation, and continuous learning are valued.

INFUSE is looking for a B2B content writer to join our team.

You must have a proven record of writing long-form B2B content, such as eBooks, white papers, guides, infographics, articles, etc., as well as great communication skills and spoken English. Our ideal candidate has a great eye for detail, is passionate about writing content across various industries, is able to meet deadlines and consistently deliver high-quality work while adapting to client requirements and expectations. 

Please submit at least two writing samples, so we can get a feel of your writing style and approach.

You must have:

• Excellent writing skills
• Native-level English (or C1 minimum)
• 2+ years of experience writing B2B content
• Technical writing experience preferred
• Good research skills
• An ability to understand complex terminology
• Experience writing for different industries and clients (preferred)
• Great attention to detail

If you are:

• Passionate about writing
• Creative
• Interested in tech
• Eager to learn
• An independent worker
• Highly organized
• Agile and proactive
• Solutions-oriented
• A team player
• Able to work EST hours

We’d like to hear from you!

INFUSE is looking for a B2B content writer to join our team.

You must have a proven record of writing long-form B2B content, such as eBooks, white papers, guides, infographics, articles, etc., as well as great communication skills and spoken English. Our ideal candidate has a great eye for detail, is passionate about writing content across various industries, is able to meet deadlines and consistently deliver high-quality work while adapting to client requirements and expectations. 

Please submit at least two writing samples, so we can get a feel of your writing style and approach.

You must have:

• Excellent writing skills
• Native-level English (or C1 minimum)
• 2+ years of experience writing B2B content
• Technical writing experience preferred
• Good research skills
• An ability to understand complex terminology
• Experience writing for different industries and clients (preferred)
• Great attention to detail

If you are:

• Passionate about writing
• Creative
• Interested in tech
• Eager to learn
• An independent worker
• Highly organized
• Agile and proactive
• Solutions-oriented
• A team player
• Able to work EST hours

We’d like to hear from you!

INFUSE is looking for a B2B content writer to join our team.

You must have a proven record of writing long-form B2B content, such as eBooks, white papers, guides, infographics, articles, etc., as well as great communication skills and spoken English. Our ideal candidate has a great eye for detail, is passionate about writing content across various industries, is able to meet deadlines and consistently deliver high-quality work while adapting to client requirements and expectations. 

Please submit at least two writing samples, so we can get a feel of your writing style and approach.

You must have:

• Excellent writing skills
• Native-level English (or C1 minimum)
• 2+ years of experience writing B2B content
• Technical writing experience preferred
• Good research skills
• An ability to understand complex terminology
• Experience writing for different industries and clients (preferred)
• Great attention to detail

If you are:

• Passionate about writing
• Creative
• Interested in tech
• Eager to learn
• An independent worker
• Highly organized
• Agile and proactive
• Solutions-oriented
• A team player
• Able to work EST hours

We’d like to hear from you!

INFUSE is looking for a B2B content writer to join our team.

You must have a proven record of writing long-form B2B content, such as eBooks, white papers, guides, infographics, articles, etc., as well as great communication skills and spoken English. Our ideal candidate has a great eye for detail, is passionate about writing content across various industries, is able to meet deadlines and consistently deliver high-quality work while adapting to client requirements and expectations. 

Please submit at least two writing samples, so we can get a feel of your writing style and approach.

You must have:

• Excellent writing skills
• Native-level English (or C1 minimum)
• 2+ years of experience writing B2B content
• Technical writing experience preferred
• Good research skills
• An ability to understand complex terminology
• Experience writing for different industries and clients (preferred)
• Great attention to detail

If you are:

• Passionate about writing
• Creative
• Interested in tech
• Eager to learn
• An independent worker
• Highly organized
• Agile and proactive
• Solutions-oriented
• A team player
• Able to work EST hours

We’d like to hear from you!

INFUSE is looking for a B2B content writer to join our team.

You must have a proven record of writing long-form B2B content, such as eBooks, white papers, guides, infographics, articles, etc., as well as great communication skills and spoken English. Our ideal candidate has a great eye for detail, is passionate about writing content across various industries, is able to meet deadlines and consistently deliver high-quality work while adapting to client requirements and expectations. 

Please submit at least two writing samples, so we can get a feel of your writing style and approach.

You must have:

• Excellent writing skills
• Native-level English (or C1 minimum)
• 2+ years of experience writing B2B content
• Technical writing experience preferred
• Good research skills
• An ability to understand complex terminology
• Experience writing for different industries and clients (preferred)
• Great attention to detail

If you are:

• Passionate about writing
• Creative
• Interested in tech
• Eager to learn
• An independent worker
• Highly organized
• Agile and proactive
• Solutions-oriented
• A team player
• Able to work EST hours

We’d like to hear from you!

INFUSE is looking for a B2B content writer to join our team.

You must have a proven record of writing long-form B2B content, such as eBooks, white papers, guides, infographics, articles, etc., as well as great communication skills and spoken English. Our ideal candidate has a great eye for detail, is passionate about writing content across various industries, is able to meet deadlines and consistently deliver high-quality work while adapting to client requirements and expectations. 

Please submit at least two writing samples, so we can get a feel of your writing style and approach.

You must have:

• Excellent writing skills
• Native-level English (or C1 minimum)
• 2+ years of experience writing B2B content
• Technical writing experience preferred
• Good research skills
• An ability to understand complex terminology
• Experience writing for different industries and clients (preferred)
• Great attention to detail

If you are:

• Passionate about writing
• Creative
• Interested in tech
• Eager to learn
• An independent worker
• Highly organized
• Agile and proactive
• Solutions-oriented
• A team player
• Able to work EST hours

We’d like to hear from you!

INFUSE is looking for a B2B content writer to join our team.

You must have a proven record of writing long-form B2B content, such as eBooks, white papers, guides, infographics, articles, etc., as well as great communication skills and spoken English. Our ideal candidate has a great eye for detail, is passionate about writing content across various industries, is able to meet deadlines and consistently deliver high-quality work while adapting to client requirements and expectations. 

Please submit at least two writing samples, so we can get a feel of your writing style and approach.

You must have:

• Excellent writing skills
• Native-level English (or C1 minimum)
• 2+ years of experience writing B2B content
• Technical writing experience preferred
• Good research skills
• An ability to understand complex terminology
• Experience writing for different industries and clients (preferred)
• Great attention to detail

If you are:

• Passionate about writing
• Creative
• Interested in tech
• Eager to learn
• An independent worker
• Highly organized
• Agile and proactive
• Solutions-oriented
• A team player
• Able to work EST hours

We’d like to hear from you!

INFUSE is looking for a B2B content writer to join our team.

You must have a proven record of writing long-form B2B content, such as eBooks, white papers, guides, infographics, articles, etc., as well as great communication skills and spoken English. Our ideal candidate has a great eye for detail, is passionate about writing content across various industries, is able to meet deadlines and consistently deliver high-quality work while adapting to client requirements and expectations. 

Please submit at least two writing samples, so we can get a feel of your writing style and approach.

You must have:

• Excellent writing skills
• Native-level English (or C1 minimum)
• 2+ years of experience writing B2B content
• Technical writing experience preferred
• Good research skills
• An ability to understand complex terminology
• Experience writing for different industries and clients (preferred)
• Great attention to detail

If you are:

• Passionate about writing
• Creative
• Interested in tech
• Eager to learn
• An independent worker
• Highly organized
• Agile and proactive
• Solutions-oriented
• A team player
• Able to work EST hours

We’d like to hear from you!

INFUSE is looking for a B2B content writer to join our team.

You must have a proven record of writing long-form B2B content, such as eBooks, white papers, guides, infographics, articles, etc., as well as great communication skills and spoken English. Our ideal candidate has a great eye for detail, is passionate about writing content across various industries, is able to meet deadlines and consistently deliver high-quality work while adapting to client requirements and expectations. 

Please submit at least two writing samples, so we can get a feel of your writing style and approach.

You must have:

• Excellent writing skills
• Native-level English (or C1 minimum)
• 2+ years of experience writing B2B content
• Technical writing experience preferred
• Good research skills
• An ability to understand complex terminology
• Experience writing for different industries and clients (preferred)
• Great attention to detail

If you are:

• Passionate about writing
• Creative
• Interested in tech
• Eager to learn
• An independent worker
• Highly organized
• Agile and proactive
• Solutions-oriented
• A team player
• Able to work EST hours

We’d like to hear from you!

INFUSE is looking for a B2B content writer to join our team.

You must have a proven record of writing long-form B2B content, such as eBooks, white papers, guides, infographics, articles, etc., as well as great communication skills and spoken English. Our ideal candidate has a great eye for detail, is passionate about writing content across various industries, is able to meet deadlines and consistently deliver high-quality work while adapting to client requirements and expectations. 

Please submit at least two writing samples, so we can get a feel of your writing style and approach.

You must have:

• Excellent writing skills
• Native-level English (or C1 minimum)
• 2+ years of experience writing B2B content
• Technical writing experience preferred
• Good research skills
• An ability to understand complex terminology
• Experience writing for different industries and clients (preferred)
• Great attention to detail

If you are:

• Passionate about writing
• Creative
• Interested in tech
• Eager to learn
• An independent worker
• Highly organized
• Agile and proactive
• Solutions-oriented
• A team player
• Able to work EST hours

We’d like to hear from you!

INFUSE is looking for a B2B content writer to join our team.

You must have a proven record of writing long-form B2B content, such as eBooks, white papers, guides, infographics, articles, etc., as well as great communication skills and spoken English. Our ideal candidate has a great eye for detail, is passionate about writing content across various industries, is able to meet deadlines and consistently deliver high-quality work while adapting to client requirements and expectations. 

Please submit at least two writing samples, so we can get a feel of your writing style and approach.

You must have:

• Excellent writing skills
• Native-level English (or C1 minimum)
• 2+ years of experience writing B2B content
• Technical writing experience preferred
• Good research skills
• An ability to understand complex terminology
• Experience writing for different industries and clients (preferred)
• Great attention to detail

If you are:

• Passionate about writing
• Creative
• Interested in tech
• Eager to learn
• An independent worker
• Highly organized
• Agile and proactive
• Solutions-oriented
• A team player
• Able to work EST hours

We’d like to hear from you!

INFUSE is looking for a B2B content writer to join our team.

You must have a proven record of writing long-form B2B content, such as eBooks, white papers, guides, infographics, articles, etc., as well as great communication skills and spoken English. Our ideal candidate has a great eye for detail, is passionate about writing content across various industries, is able to meet deadlines and consistently deliver high-quality work while adapting to client requirements and expectations. 

Please submit at least two writing samples, so we can get a feel of your writing style and approach.

You must have:

• Excellent writing skills
• Native-level English (or C1 minimum)
• 2+ years of experience writing B2B content
• Technical writing experience preferred
• Good research skills
• An ability to understand complex terminology
• Experience writing for different industries and clients (preferred)
• Great attention to detail

If you are:

• Passionate about writing
• Creative
• Interested in tech
• Eager to learn
• An independent worker
• Highly organized
• Agile and proactive
• Solutions-oriented
• A team player
• Able to work EST hours

We’d like to hear from you!

INFUSE is looking for a B2B content writer to join our team.

You must have a proven record of writing long-form B2B content, such as eBooks, white papers, guides, infographics, articles, etc., as well as great communication skills and spoken English. Our ideal candidate has a great eye for detail, is passionate about writing content across various industries, is able to meet deadlines and consistently deliver high-quality work while adapting to client requirements and expectations. 

Please submit at least two writing samples, so we can get a feel of your writing style and approach.

You must have:

• Excellent writing skills
• Native-level English (or C1 minimum)
• 2+ years of experience writing B2B content
• Technical writing experience preferred
• Good research skills
• An ability to understand complex terminology
• Experience writing for different industries and clients (preferred)
• Great attention to detail

If you are:

• Passionate about writing
• Creative
• Interested in tech
• Eager to learn
• An independent worker
• Highly organized
• Agile and proactive
• Solutions-oriented
• A team player
• Able to work EST hours

We’d like to hear from you!

INFUSE is looking for a B2B content writer to join our team.

You must have a proven record of writing long-form B2B content, such as eBooks, white papers, guides, infographics, articles, etc., as well as great communication skills and spoken English. Our ideal candidate has a great eye for detail, is passionate about writing content across various industries, is able to meet deadlines and consistently deliver high-quality work while adapting to client requirements and expectations. 

Please submit at least two writing samples, so we can get a feel of your writing style and approach.

You must have:

• Excellent writing skills
• Native-level English (or C1 minimum)
• 2+ years of experience writing B2B content
• Technical writing experience preferred
• Good research skills
• An ability to understand complex terminology
• Experience writing for different industries and clients (preferred)
• Great attention to detail

If you are:

• Passionate about writing
• Creative
• Interested in tech
• Eager to learn
• An independent worker
• Highly organized
• Agile and proactive
• Solutions-oriented
• A team player
• Able to work EST hours

We’d like to hear from you!

INFUSE is looking for a B2B content writer to join our team.

You must have a proven record of writing long-form B2B content, such as eBooks, white papers, guides, infographics, articles, etc., as well as great communication skills and spoken English. Our ideal candidate has a great eye for detail, is passionate about writing content across various industries, is able to meet deadlines and consistently deliver high-quality work while adapting to client requirements and expectations. 

Please submit at least two writing samples, so we can get a feel of your writing style and approach.

You must have:

• Excellent writing skills
• Native-level English (or C1 minimum)
• 2+ years of experience writing B2B content
• Technical writing experience preferred
• Good research skills
• An ability to understand complex terminology
• Experience writing for different industries and clients (preferred)
• Great attention to detail

If you are:

• Passionate about writing
• Creative
• Interested in tech
• Eager to learn
• An independent worker
• Highly organized
• Agile and proactive
• Solutions-oriented
• A team player
• Able to work EST hours

We’d like to hear from you!

INFUSE is looking for a B2B Content Writer to join our Marketing team. You must have a proven record of writing long-form B2B content, such as eBooks, white papers, guides, infographics, articles, etc. You must also have experience writing other formats such as newsletters, marketing emails, and LinkedIn content, including thought leadership.

Our ideal candidate has a great eye for detail, is passionate about writing content across various industries, can meet deadlines, and consistently delivers high-quality work while adapting to requirements and expectations. 

Please submit at least two writing samples so that we can get a feel of your writing style and approach.

You must have:

• Excellent writing skills
• Native-level English (or C1 minimum)
• 2+ years of experience writing B2B content
• Technical writing experience preferred
• Good research skills
• An ability to adapt writing style and voice to suit different audiences, platforms, and content formats
• Experience writing for different industries (preferred)
• Exceptional attention to detail
• A strong understanding of SEO
• Experience with uploading and editing content in Wordpress

If you are:

• Passionate about writing
• Creative
• Interested in tech
• Eager to learn
• An independent worker
• Highly organized
• Agile and proactive
• Solutions-oriented
• A team player

We’d like to hear from you!

INFUSE is looking for a B2B content writer to join our team.

You must have a proven record of writing long-form B2B content, such as eBooks, white papers, guides, infographics, articles, etc., as well as great communication skills and spoken English. Our ideal candidate has a great eye for detail, is passionate about writing content across various industries, is able to meet deadlines and consistently deliver high-quality work while adapting to client requirements and expectations. 

Please submit at least two writing samples, so we can get a feel of your writing style and approach.

You must have:

• Excellent writing skills
• Native-level English (or C1 minimum)
• 2+ years of experience writing B2B content
• Technical writing experience preferred
• Good research skills
• An ability to understand complex terminology
• Experience writing for different industries and clients (preferred)
• Great attention to detail

If you are:

• Passionate about writing
• Creative
• Interested in tech
• Eager to learn
• An independent worker
• Highly organized
• Agile and proactive
• Solutions-oriented
• A team player
• Able to work EST hours

We’d like to hear from you!

INFUSE is looking for a B2B content writer to join our team.

You must have a proven record of writing long-form B2B content, such as eBooks, white papers, guides, infographics, articles, etc., as well as great communication skills and spoken English. Our ideal candidate has a great eye for detail, is passionate about writing content across various industries, is able to meet deadlines and consistently deliver high-quality work while adapting to client requirements and expectations. 

Please submit at least two writing samples, so we can get a feel of your writing style and approach.

You must have:

• Excellent writing skills
• Native-level English (or C1 minimum)
• 2+ years of experience writing B2B content
• Technical writing experience preferred
• Good research skills
• An ability to understand complex terminology
• Experience writing for different industries and clients (preferred)
• Great attention to detail

If you are:

• Passionate about writing
• Creative
• Interested in tech
• Eager to learn
• An independent worker
• Highly organized
• Agile and proactive
• Solutions-oriented
• A team player
• Able to work EST hours

We’d like to hear from you!

INFUSE is looking for a B2B Content Writer to join our Marketing team. You must have a proven record of writing long-form B2B content, such as eBooks, white papers, guides, infographics, articles, etc. You must also have experience writing other formats such as newsletters, marketing emails, and LinkedIn content, including thought leadership.

Our ideal candidate has a great eye for detail, is passionate about writing content across various industries, can meet deadlines, and consistently delivers high-quality work while adapting to requirements and expectations. 

Please submit at least two writing samples so that we can get a feel of your writing style and approach.

You must have:

• Excellent writing skills
• Native-level English (or C1 minimum)
• 2+ years of experience writing B2B content
• Technical writing experience preferred
• Good research skills
• An ability to adapt writing style and voice to suit different audiences, platforms, and content formats
• Experience writing for different industries (preferred)
• Exceptional attention to detail
• A strong understanding of SEO
• Experience with uploading and editing content in Wordpress

If you are:

• Passionate about writing
• Creative
• Interested in tech
• Eager to learn
• An independent worker
• Highly organized
• Agile and proactive
• Solutions-oriented
• A team player

We’d like to hear from you!

INFUSE is looking for a B2B content writer to join our team.

You must have a proven record of writing long-form B2B content, such as eBooks, white papers, guides, infographics, articles, etc., as well as great communication skills and spoken English. Our ideal candidate has a great eye for detail, is passionate about writing content across various industries, is able to meet deadlines and consistently deliver high-quality work while adapting to client requirements and expectations. 

Please submit at least two writing samples, so we can get a feel of your writing style and approach.

You must have:

• Excellent writing skills
• Native-level English (or C1 minimum)
• 2+ years of experience writing B2B content
• Technical writing experience preferred
• Good research skills
• An ability to understand complex terminology
• Experience writing for different industries and clients (preferred)
• Great attention to detail

If you are:

• Passionate about writing
• Creative
• Interested in tech
• Eager to learn
• An independent worker
• Highly organized
• Agile and proactive
• Solutions-oriented
• A team player
• Able to work EST hours

We’d like to hear from you!