You will act as their strategic partner, hunting into a defined list of Named Accounts (aligning to AEs) that spans the entire insurance ecosystem—from large Insurance Carriers to specialized MGAs and Program Administrators. We are looking for a self-starter who doesn't wait for permission to execute. You will be responsible for generating the pipeline that fuels our growth.

What you'll be doing:

• Hunt with Tenacity: You will own the top of the funnel for your AE’s Named Accounts. You are expected to be relentless in your pursuit, using phone, email, and social channels to break into these specific, high-value organizations.
• Prioritize signal-driven, high-intent outreach over volume, using ABM insights, intent data, and account context to guide execution
• Navigate Complex Ecosystems: You won't just be calling one type of prospect. You will learn to navigate the complexities of massive Carriers as well as the fast-moving world of MGAs. You will adapt your hustle to fit the target.
• Maintain a consistent operating cadence with your aligned AE, including weekly account reviews, deal feedback, and territory planning
• Partner on Strategy: You will strategize with your AE and ABM partners to map out these accounts, identify the power players, and coordinate "ground cover" to ensure we are penetrating the right buying centers.
• Learn the Business: We don't just want you to sell; we want you to understand what you are selling. You will be expected to dive deep into the world of insurance underwriting, learning the difference between a full policy AI native platform and legacy Old Core workflows so you can speak the language of a VP of Underwriting fluently.
• You will receive structured onboarding, enablement resources, and ongoing coaching to ramp quickly into the insurance and underwriting domain

Who we hope you are: 

• 1-2 years of B2B SaaS Sales experience: You have carried a quota, you know how to use a CRM, and you understand the mechanics of a cold call.

OR

• Insurance Industry Experience: You have worked as an Underwriter, Broker, or Claims Adjuster and are looking to pivot into tech. You understand the pain of legacy systems because you’ve lived it.

• Prospecting Proficiency: You are comfortable using tools like Salesforce, Gong, LeadIQ and LinkedIn Sales Navigator. You know how to build a list, finding mobile numbers, and map an organization.
• Writing Chops: You can write a cold email that doesn't sound like a robot. You understand brevity, personalization, and the importance of a clear Call to Action
• Phone Presence: You don’t hide behind email. You are comfortable calling a VP of Underwriting, navigating a gatekeeper, and handling objections like "We're happy with what we have" without flinching.

• Self-Starter: We are a remote-first, high-growth company. We don't micromanage. We need someone who can wake up, set their own agenda, and execute without needing their hand held.
• Tenacity & Grit: You are relentless. You are hungry to succeed. You understand that sales is a game of persistence. You don't let a bad call ruin your day; you pick up the phone and dial again. You thrive on the hustle.
• Intellectual Curiosity: You genuinely want to learn the business. You are the type of person who reads industry news, checks the MGAA member list, listens to insurance podcasts, and asks "why" until you understand the root of a customer's problem.
• Coachability: You have an ego when it comes to winning, but no ego when it comes to learning. You actively seek feedback from your AEs to sharpen your skills.
• Career Growth & Advancement: This role is designed for individuals who want to grow their careers in go-to-market roles such as: Account Executive or adjacent GTM functions as Federato scales. 

What Success Looks Like in the First 6 Months 

• Build deep coverage across named accounts, consistently engaging multiple buyer personas 
• Consistently generate qualified meetings that convert into real pipeline 
• Demonstrate strong AE partnership through joint account planning, feedback loops and support. 
• Become fluent in Federato’s core value proposition and underwriting use cases to confidently engage senior insurance leaders.
  
  Our cash compensation amount for this role is targeted to Base $65,000-70,000 OTE $100,000-$110,000
  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. 

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. 

Who we are:

At Focused, we move quickly to deliver quality software that achieves client outcomes and meets their customer’s needs. We strategically partner with our clients to leverage our expertise in design and software, while our clients bring their own domain expertise. We work with a variety of clients from different industries, collaborating as we get new products to market, modernizing legacy systems, or helping teams learn the skills they need to be successful.   

Our values:

• Listen first • We are experts in product practices but life long learners in the domain of our customers. We research, collaborate, and understand. 
• Learn why • We ask questions and talk to users to understand problem spaces, objectives, and goals, which allows us to deeply invest and drive towards the outcomes of our clients. 
• Love your craft • We love diving into a variety of domains and solving problems.  We take pride in delivering value, in communicating progress, and guiding our clients to success.

At Focused, our Engineers are both practitioners and experts in their craft. This role would play a crucial role in shaping and implementing engineering best practices and ensuring the successful delivery of complex software projects. With clients, we develop trust and influence - we are unintimidated and unintimidating. With colleagues, we set the standard for how we deliver success for clients.

What would you be doing?

• Directly engage with clients and provide expertise through pair programming and development on LangChain / LangGraph powered applications
• Deep expertise in LangChain, LangGraph and LangSmith
• Lead teams through end-to-end delivery across the stack, from backend services to modern web UIs.
• Pair program daily with teammates and clients to share knowledge, improve code quality, and grow together.
• Practice TDD and continuous refactoring to ensure code is reliable, maintainable, and understandable.
• Guide architecture decisions to support scalability, observability, and performance.
• Collaborate closely with designers, product managers, and stakeholders to continuously deliver valuable software.
• Coach developers on the team through pairing, mentoring, and modeling healthy engineering culture.
• Influence technical direction beyond the team, working across client orgs and Focused’s internal practices to share lessons, shape approaches, and raise the collective bar.
• Stay curious through experimenting with new patterns in the GenAI space, share what works (and what doesn’t), and help evolve how we build AI-powered software.

We are excited about you, because you:

• You’re a hands-on, full stack engineer with a strong track record of delivering software in collaborative, agile environments.
• You’ve worked with LangChain (or similar agentic frameworks), and understand how to architect AI-native systems responsibly and effectively.
• You have experience leading engineering teams and feel confident mentoring and supporting other developers.
• You believe that code quality matters, and that TDD and pairing help build better systems and stronger teams.
• You’ve worked across multiple languages or frameworks (e.g., Python, Node, Java, React, Next.js) and are pragmatic about tool selection.
• You’re excited about what’s happening in the AI space but stay focused on delivering value.
• You have experience navigating complex organizations, building bridges across functions, and helping teams adopt modern development practices.
• You’re as comfortable in the code as you are in a client meeting and can translate technical risks and wins into language anyone can understand.
• You love to share what you’re learning and make the team around you better.

If you had worked at Focused over the last 3 months you may have:

• Paired with a teammate to build a document Q&A system using LangChain and OpenAI APIs
• Helped design an architecture that integrates LLM agents into a legacy enterprise workflow
• Refactored a flaky test suite to support continuous delivery with confidence
• Mentored a junior dev through their first pairing and TDD session
• Built and deployed a full stack GenAI MVP with a React frontend and FastAPI backend
• Facilitated an architecture spike to evaluate vector database options for semantic search
• Contributed a new section to our internal AI playbook
• Helped write this job req

What to know before you apply: 

• This role will require working in a client office in the greater Dallas, TX area three days per week and up to 20% travel within the United States.
• Focused is unable to sponsor or take over sponsorship of the employment Visa process at this time.
• The Colorado base salary range for this role is $175,000 - $250,000.

Logos Messaging Team

The Logos Messaging team is focused on creating communication infrastructure for a freer internet — permissionless, interoperable, and based on user consent. We're building toward a world where anyone can reach anyone on a network that no single entity controls or can take away. We cannot afford to compromise on Privacy, and "Eventual Decentralisation" is not an option: Logos.co

Right now we're deep in the hard problems: Bringing decentralised group messaging over MLS to all developers. This is frontier tech work — the protocols we're writing don't have established playbooks, and the tradeoffs we're navigating haven't all been mapped yet.

This is where you come in. We're a small team seeking engineers who have a passion for decentralised chat and who've thought deeply about how these systems work, where they fail, and what it takes to get them right. You'll work directly on our SDK and contribute to the protocols underneath it, with real ownership over work that enables open communication.

Key responsibilities

• Implement our messaging protocols in our reference SDK, translating protocol specs into reliable, production-quality Rust
• Own the API design and developer experience of the SDK surface — abstractions, ergonomics, and developer-facing documentation
• Contribute to messaging protocol specifications alongside the team
• As a member of a small team, you'll wear many hats — picking up problems outside your immediate lane, learning as you go, and growing with the team
• Write clear technical documentation and participate in async design discussions with collaborators across the project

You will ideally have

• Deep familiarity with real-world instant messaging systems - you've worked on, contributed to, or spent serious time understanding how systems like Signal, Matrix, XMPP, or similar are built, where they make tradeoffs, and where they struggle
• Experience with decentralised computing - peer-to-peer systems, distributed networks, or decentralised application infrastructure
• Comfort working directly with cryptographic primitives - signatures, ciphers, and key exchanges and an understanding of secure private messaging principles such as forward secrecy, post-compromise security, and key management
• Solid Rust experience: comfortable writing reliable, maintainable code in a team setting
• Previous experience with Web3, blockchains, open protocols, and the values that underpin them
• A strong alignment to our principles: https://logos.co/manifesto/

Bonus points

• Experience with Post-Quantum Cryptography and its application to secure messaging
• Experience with MLS (Message Layer Security / RFC 9420) or the OpenMLS library specifically
• You've authored or contributed to an open specification
• Familiarity with P2P transport layers such as Waku or libp2p
• Experience working for an open source organisation
• Comfortable working remotely and asynchronously

Don't worry if you don't meet all of these criteria — we'd still love to hear from you if you think you'd be a great fit. Just explain why in your cover letter.

Hiring process

Interview with our Talent team 

Interview with Team Member (Technical Life Story) 

Interview with Team Lead / Pair Programming Session  (Technical Discussion )

Interview with Program Lead (Culture Fit)

Compensation

The expected compensation range for this role is negotiable, dependent on how we assess your skills and experience throughout our interview process. We are happy to pay in any mix of fiat/crypto.

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!

At Qohash, we’re building a foundational pillar of Canada’s digital sovereignty. As AI adoption accelerates and data becomes a strategic national asset, we believe security must scale differently, without moving or copying data.

We seek bold, mission-driven individuals energized by meaningful impact, not incremental change. You thrive in high-stakes, fast-moving environments where policy, technology, and global expansion converge. You take ownership, embrace constructive conflict, and act with accountability even when the path isn’t fully defined.

We value people who combine technical depth with strategic clarity, leaders who pursue excellence, show resilience under pressure, and collaborate across disciplines to protect the world’s most sensitive data.

If you’re motivated to help build a sovereign, globally respected technology champion, read on:

Company culture is at our core

Our 5 core values are more than just words; they are a way of life for us. We know that companies with a strong culture and a higher purpose perform better in the long run.

Do our values speak to you?

• Pursuit of excellence - Data security companies that aren’t constantly improving every aspect of what they mean by ‘excellent’ shouldn’t exist.
• Resilience - Security is a marathon without a finish line. Our customers and employees must have the support they need.
• Mission focus - We are here to protect the world’s most sensitive data and create a safer digital future for all.
• Accountability - Trust is earned through actions, not blame or wishful thinking. Fulfill promises and take responsibility for mistakes.
• Embracing conflict - To reach consensus and problem-solve quickly, it’s important to communicate honestly and courageously.
  
  

Who you are

We are seeking a candidate who brings strong accountability to their work and thrives in a stakeholder-driven environment. You have exceptional attention to detail, superior organizational skills, and a deep curiosity for Quality and Automation. You are proactive, analytical, and excited about leveraging your experience to support a fast-moving and growing organization. This role is ideal for someone seeking to deepen their Quality and Automation expertise within a tech-driven startup environment.

You are a proactive QA Automation Lead who thrives in complex and non-standard environments. You own QA strategy, defining testing approaches and evolving automation frameworks without compromising reliability. You approach challenges with curiosity and precision, leveraging AI, automation, and a collaborative mindset to deliver impact at scale.

You embrace change in a fast-paced startup environment, stay calm under pressure, and bring a high level of organization and problem-solving to the table. You advocate for excellence in quality and understand that resilience in product quality is critical to maintaining customer trust.

What you will do

• Own the design and evolution of automated testing frameworks ensuring product reliability.
• Define and implement end-to-end, API, and local application testing strategies.
• Own test environment setup and maintenance.
• Lead defect identification, prevention, and resolution efforts.
• Collaborate with Engineering and DevOps to improve CI/CD through automation and performance testing.
• Identify gaps, propose solutions, and lead improvements to QA processes across the organization.
• Proactively communicate risks related to tools, technology, or testing processes as they arise.
  
  

What your resume shows

Must Haves

• A strong alignment with our core values (preference for those with genuine start-up, high growth, ser A, B, C or high velocity company experience)
• Reside in Quebec or Ontario
• 7+ years of QA experience across manual and automated testing
• 5+ years of experience with automated testing frameworks (e.g. Playwright, Selenium, Cypress)
• Demonstrated ability to adapt testing strategies when system constraints change (e.g., no UI, limited observability), and to propose viable alternative validation methods
• Solid programming knowledge (e.g., JavaScript, Bash) and willingness to expand these skills
• Proven ability to design and maintain test automation frameworks
• Strong communication with technical and non-technical stakeholders
• A proactive, continuous-learning mindset
• Bachelor’s or Master’s degree in Computer Science, Engineering, or equivalent professional experience

Nice to Haves

• Experience with browser-based and non-UI/system-level testing tools (e.g., Playwright, Cypress, Selenium, custom test harnesses, CLI-driven tests, API test frameworks)
• Strong experience testing headless local applications, background services, or agents (e.g., daemons, system services, sensors), including API-, CLI-, log-, or event-driven validation approaches
• Experience in a cybersecurity environment

What’s in it for you?

• Competitive salary range.
• Enjoy up to six weeks of paid time off annually, because we value your work-life balance.
• Comprehensive health benefits, including:
• Life insurance
• Short- and long-term disability
• Paramedical and telemedicine services
• Health Spending Account (HSA)
  
  

Qohash is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, colour, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by applicable law. A working proficiency in English is required for this position based on the company’s operational requirements. Only those candidates selected for interview will be contacted.

Logos Messaging Team

The Logos Messaging team is focused on creating communication infrastructure for a freer internet — permissionless, interoperable, and based on user consent. We're building toward a world where anyone can reach anyone on a network that no single entity controls or can take away. We cannot afford to compromise on Privacy, and "Eventual Decentralisation" is not an option: Logos.co

Right now we're deep in the hard problems: Bringing decentralised group messaging over MLS to all developers. This is frontier tech work — the protocols we're writing don't have established playbooks, and the tradeoffs we're navigating haven't all been mapped yet.

This is where you come in. We're a small team seeking engineers who have a passion for decentralised chat and who've thought deeply about how these systems work, where they fail, and what it takes to get them right. You'll work directly on our SDK and contribute to the protocols underneath it, with real ownership over work that enables open communication.

Key responsibilities

• Implement our messaging protocols in our reference SDK, translating protocol specs into reliable, production-quality Rust
• Own the API design and developer experience of the SDK surface — abstractions, ergonomics, and developer-facing documentation
• Contribute to messaging protocol specifications alongside the team
• As a member of a small team, you'll wear many hats — picking up problems outside your immediate lane, learning as you go, and growing with the team
• Write clear technical documentation and participate in async design discussions with collaborators across the project

You will ideally have

• Deep familiarity with real-world instant messaging systems - you've worked on, contributed to, or spent serious time understanding how systems like Signal, Matrix, XMPP, or similar are built, where they make tradeoffs, and where they struggle
• Experience with decentralised computing - peer-to-peer systems, distributed networks, or decentralised application infrastructure
• Comfort working directly with cryptographic primitives - signatures, ciphers, and key exchanges and an understanding of secure private messaging principles such as forward secrecy, post-compromise security, and key management
• Solid Rust experience: comfortable writing reliable, maintainable code in a team setting
• Previous experience with Web3, blockchains, open protocols, and the values that underpin them
• A strong alignment to our principles: https://logos.co/manifesto/

Bonus points

• Experience with Post-Quantum Cryptography and its application to secure messaging
• Experience with MLS (Message Layer Security / RFC 9420) or the OpenMLS library specifically
• You've authored or contributed to an open specification
• Familiarity with P2P transport layers such as Waku or libp2p
• Experience working for an open source organisation
• Comfortable working remotely and asynchronously

Don't worry if you don't meet all of these criteria — we'd still love to hear from you if you think you'd be a great fit. Just explain why in your cover letter.

Hiring process

Interview with our Talent team 

Interview with Team Member (Technical Life Story) 

Interview with Team Lead / Pair Programming Session  (Technical Discussion )

Interview with Program Lead (Culture Fit)

Compensation

The expected compensation range for this role is negotiable, dependent on how we assess your skills and experience throughout our interview process. We are happy to pay in any mix of fiat/crypto.

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

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An overview of this role

As a Staff Forward Deployed Engineer at GitLab, you will work at the intersection of customer outcomes, product direction, and hands-on engineering. This role is focused on strategic accounts in the AMER region, where you will help customers adopt GitLab and the GitLab Duo Agent Platform in complex enterprise environments, including self-managed, regulated, and constrained deployments. You will guide deep technical discovery, design practical adoption paths, and build reusable solutions that help customers move from early platform use into broader CI/CD, security, compliance, and AI-enabled workflows.

This is not a traditional consulting role centered on one-off delivery. Instead, you will use customer issues to create durable technical assets, shape architecture patterns, and influence upstream product and engineering decisions when field needs point to a broader solution. Your work will help reduce time to value for strategic customers while improving how GitLab scales adoption across similar environments.

Some examples of our projects:

• Building a regulated-environment deployment accelerator for GitLab Duo Agent Platform in self-managed or constrained environments
• Authoring reusable reference architectures for AI Gateway, identity, runners, network boundaries, model connectivity, and governance controls

What you’ll do

• Conduct deep technical discovery in selected strategic accounts to assess platform readiness, evaluate constraints, and identify high-value adoption opportunities across GitLab and GitLab Duo Agent Platform.
• Lead architecture and delivery design for complex enterprise environments where platform migration, regulated requirements, and product boundaries intersect.
• Partner with customer stakeholders and GitLab account teams to prioritize use cases based on business impact, technical feasibility, repeatability, and long-term platform value.
• Design and build bounded proofs, prototypes, deployment patterns, and reusable accelerators across source code management, CI/CD, security, compliance, and AI-enabled workflows.
• Architect self-managed and enterprise deployments, including runners, access controls, network boundaries, observability, AI Gateway, model connectivity, and governance controls.
• Turn recurring field patterns into reusable assets such as runbooks, templates, design notes, technical guidance, product briefs, and reference architectures that can be used across accounts.
• Contribute code, technical designs, or architecture changes when strategically necessary, in partnership with product and engineering, to address blockers that should be solved upstream.
• Travel as needed for strategic customer engagements, architecture workshops, and team coordination, with expected travel up to 50%.

What you’ll bring

• Experience in software engineering, platform architecture, forward deployed engineering, technical consulting, or similar customer-facing engineering roles.
• Strong software engineering fundamentals, including the ability to read, reason about, and contribute to production systems, ideally with experience in Ruby on Rails and/or Go.
• Strong systems design and software architecture skills, with experience evaluating APIs, asynchronous workflows, CI/CD systems, security boundaries, scalability, and operational tradeoffs.
• Hands-on experience with GitLab CI/CD, pipeline design, YAML, runners, and GitLab APIs.
• Experience with infrastructure as code and enterprise deployment tooling such as Terraform, Ansible, Helm, or similar approaches.
• Working knowledge of large language models, agentic patterns, tool orchestration, and the practical limits of AI systems in production environments.
• A track record of creating reusable technical assets that outlive a single engagement, along with strong written and verbal communication skills for technical design and architecture guidance.
• Comfort leading conversations with senior stakeholders across security, compliance, engineering, platform, and business teams, especially in ambiguous enterprise environments.

About the team

The Staff Forward Deployed Engineer works closely with teams across Customer Success, Solutions Architecture, product, and engineering to solve hard adoption problems in enterprise customer environments. We focus on high-leverage technical work for strategic customers, especially when standard approaches do not fully fit the environment or the adoption challenge.

We are especially valuable in situations where self-managed deployment models, security and compliance requirements, migration complexity, or AI platform adoption create barriers that standard approaches do not fully address. Success on our team comes from strong technical judgment, a bias for reuse, and the ability to balance immediate customer needs with long-term platform impact. 

The Partnerships Team 

The Partnerships team at OpenZeppelin drives strategic relationships with the financial institutions, enterprise technology vendors, fintechs, professional services firms, and standards bodies that are shaping how blockchain security is adopted at scale. We build and activate the partner ecosystem through which OZ's security audits, advisory services, open-source smart contract libraries, and security operations tooling reach the institutions and developers who need them most. We operate cross-functionally with Sales, Solutions Development, Legal, Engineering, and Marketing to ensure partnerships are structured well, activated quickly, and deliver measurable commercial impact.

What you'll be doing

OpenZeppelin is expanding its partnerships function and looking for a commercially driven Senior Partnerships Representative to help source, develop, and close strategic partnerships across our target verticals. You will work directly alongside the Head of Partnerships, owning a pipeline of partner opportunities end-to-end - from first conversation through to signed agreement and initial activation. This is a role for someone with good commercial instincts and strong execution discipline who is ready to grow into a larger partnerships remit.

• Source and develop new partnership opportunities across crypto-native projects, fintechs, and institutions.
• Own and progress a pipeline of partner deals across all stages, from prospecting and qualification through to commercial negotiation and close.
• Build and maintain working relationships with business development, product, and technical counterparts at partner organisations.
• Develop a strong understanding of each partner's business model, strategic priorities, and how OZ's offering creates value for them and their clients.
• Help structure partnership frameworks - referral, co-sell, integration, and joint go-to-market - that align incentives and drive measurable commercial outcomes for both sides.
• Collaborate closely with internal teams - Sales, Solution Development, Legal, Engineering, Services, and Finance - to coordinate input, manage dependencies, and keep stakeholders aligned throughout the deal lifecycle.
• Work with Solution Development and Engineering to shape integration and technical partnership proposals.
• Support the Head of Partnerships on pipeline reporting, forecasting, and contributing to how the function evolves.
• Represent OpenZeppelin at industry events, working groups, and partner meetings.

You have

• 3+ years in partnerships, business development, or sales at a technology company, with experience contributing to multi-stakeholder commercial deals.
• Sound commercial judgement: you can qualify opportunities, identify where value sits, and prioritize your pipeline accordingly.
• Comfortable engaging a range of stakeholders at partner organizations - commercial, product, and technical - and adapting your approach to each.
• Excellent written and verbal communication; able to translate technical complexity into commercial narrative and vice versa.
• Self-directed and comfortable with ambiguity - this function is still being built and you will be expected to contribute to how it takes shape.
• Experience in blockchain, fintech, financial institutions, digital assets, or enterprise technology is a strong plus.

Nice to have

• Exposure to common partnership structures - referral, reseller, co-sell, integration - and a working understanding of how they are negotiated.
• Commercially aware. You understand what a good deal looks like from both sides of the table, and you think beyond the signature to the relationship that comes after.
• Relationship-first. You invest in the people behind the partnership, not just the process. Deals progress because people trust you.
• Curious across disciplines. You enjoy getting up to speed on security, infrastructure, and institutional workflows, and you hold your own with technical and commercial counterparts.
• Autonomous but collaborative. You drive your own pipeline without needing to be managed, but you operate as part of a team and bring others in at the right moments.
• Builder mentality. You are joining an early-stage function. You are energised by that, not unsettled by it.

Logistics:

Our interview process takes place on Zoom and tends to consist of the following stages:

• Recruiter Call (30 mins)
• Hiring Manager Call (60 mins)
• Team Interview (30 mins)
• Leadership Interview (30 mins)
• Paid work test (up to 20 hours of paid work)
• Reference checks

Senior Software Engineer: Front-End

About the role 

We are seeking someone to lead, architect and develop features for our Risk Cloud platform. This role requires a deep understanding of business and engineering goals, and the ability to work collaboratively with team members to achieve them. The ideal candidate will inspire and exemplify cross-functional collaboration, working closely with product managers, designers, engineers, and QA professionals. They will advocate for and implement modern best practices in engineering, including a testing-first mindset, frequent releases, and iterative development with small feedback loops. Additionally, effective communication and the ability to produce clear documentation for features and processes are essential for this position.

How you'll spend your time:

• Develop / Utilize Angular, Typescript, and other leading Front-End tools to build a market leading product.
• Quality / Write tests and review code to facilitate an efficient dev cycle and prevent the occurrence of bugs.
• Collaborate / Work closely with cross-functional team members using Agile methodologies to iterate on feature work.
• Optimize / Help improve our front-end application for speed, reliability, and scalability.

What we use:

• Frontend: TypeScript, Angular, Webpack, Sass
• Backend: Spring Boot, Java, Kotlin, Go
• Data: Neo4j, Redis, RabbitMQ, PostgreSQL
• Test: JUnit, Karma, Jasmine, Spectator, Cypress
• Infrastructure: AWS, Terraform, Kubernetes, Docker, Ansible
• Work: GitLab, Slack, Jira, Confluence, G Suite

We get excited about you if you have:

• Significant (6+ years) of professional experience in software engineering or a Bachelor's in Computer Science or a related field (we value outcomes over number of years)
• Desire to grow as a leader, architect, and coder within an engineering atmosphere that moves quickly and strives to raise the bar.
• Understanding of best practices and competency in one or more modern languages (it doesn't have to be a language that is part of our stack).
• Strong expertise developing web applications with modern Front-End frameworks.
• Desire for an autonomous environment that enables you to do your best work.

How you’ll Raise the Bar:

• The tools, languages, and frameworks powering our platform align with your work history.

• While a Front-End expert, you thrive working across the full software stack.
• You’ve worked to bolster or optimize E2E systems.

The anticipated base salary range for the role is $125,000 - $165,000 per year + variable + equity + benefits. Actual salaries may vary and will be based on factors, such as the candidate's qualifications, skills, competencies, and proficiency for the role. Internal candidates who have current pay within or above the hiring range are still encouraged to apply if interested.

LogicGate’s Hybrid Workplace

Our hybrid workplace allows for flexibility aligned to role responsibilities and exceptional customer delivery. Location requirements for this role can be found above. 

Total Rewards 

We are proud to offer a variety of competitive, inclusive, and comprehensive total rewards that are designed to support the unique needs of our employees both inside and outside of the workplace.

In addition to offering competitive salary and variable compensation plans, equity options, and flexible health and wellness benefits, we are proud to offer generous PTO, Annual Company Holidays, Health Days, and Summer Fridays.

Employees' growth and development are supported throughout their career journey through informal and formal programs and activities, including access to LinkedIn Learning, regular People Leader training, and our internal Mentorship Program. 

Our Culture

At LogicGate, our culture and employee experience are grounded in our core values of Be as One, Do the Right Thing, Embrace Curiosity, Own It, Empower Customers, and Raise the Bar, which guide how we show up - for each other, our customers, and all we interact with.

We believe that the strongest teams are made up of individuals who bring their different identities, experiences, and perspectives to the table. We are committed to fostering an inclusive work environment where all employees’ differences are celebrated and everyone is encouraged to bring their authentic selves to work.

We encourage everyone to join one of our Employee Resource Groups (AAPI @ LogicGate, Pride at LogicGate, and Women in LogicGate) to participate in and contribute to conversations that foster an inclusive culture.

LogicGate also believes strongly in giving back to the communities in which we live and work. To enable our teams to give back, we offer paid volunteer hours and company-wide charitable activities supporting a variety of organizations and causes.

We are proud to have been recognized as a top workplace by Built In, Crain’s Chicago Business, the Chicago Tribune, and more. Visit our website to learn about our latest recognition.

Learn more about our culture here. 

Excited about LogicGate but not familiar with GRC? 

• GRC stands for Governance, Risk, and Compliance
• GRC professionals help their companies manage uncertainty, act with integrity, and stay on the right side of the law. 
• The GRC market is rapidly expanding with continuous growth opportunities. The current market size was valued at $50.5 billion in 2024 and is projected to reach $104.5 billion by 2031.

Responsibilities

• Evaluate and mature the organization’s disaster recovery posture, including recovery objectives (RTO/RPO), dependency mapping, and failure domain analysis across applications, data, and infrastructure.
  
  
• Define, document, and establish disaster recovery standards and best practices across cloud infrastructure, platforms, and application architectures.
  
  
• Partner with SRE, platform, security, and product engineering teams to design and implement resilient, fault-tolerant systems, progressing from backup-based recovery to multi-region and active-active architectures.
  
  
• Lead the disaster recovery roadmap, balancing technical feasibility, cost, risk, and business priorities.
  
  
• Design and recommend reference architectures for disaster recovery patterns, including pilot-light, warm standby, hot standby, and active-active.
  
  
• Drive adoption of active-active disaster recovery for critical systems, including traffic management, data replication, consistency models, and automated failover.
  
  
• Define and operationalize testing strategies for DR, including game days, chaos testing, and regular recovery exercises.
  
  
• Establish clear documentation, runbooks, and escalation paths to ensure recoverability is well understood and not dependent on individuals.
  
  
• Evaluate and recommend platform upgrades, cloud services, and tooling that improve resilience, recovery speed, and reliability.
  
  
• Serve as a technical authority and advisor on disaster recovery and resilience for leadership and engineering teams.
  
  
• Provide architectural guidance, design reviews, and mentorship to engineers implementing DR-related changes.
  
  
• Partner with security and compliance teams to ensure DR strategies meet regulatory, audit, and data protection requirements.
  
  

Desired Experience

• Bachelor’s or Master’s degree in Computer Science or equivalent practical experience.
  
  
• 8+ years of experience in cloud infrastructure, platform engineering, SRE, or reliability-focused architecture roles.
  
  

Disaster Recovery & Resilience

• Deep understanding of disaster recovery concepts including RTO/RPO, blast radius reduction, failure domains, and dependency isolation.
  
  
• Proven experience designing and implementing multi-region and multi-availability zone architectures.
  
  
• Hands-on experience moving systems toward active-active or highly available architectures.
  
  
• Strong grasp of data replication strategies, consistency tradeoffs, and recovery patterns for databases and stateful systems.
  
  

Cloud & Platform Engineering

• Extensive experience with major cloud providers (AWS preferred, GCP/Azure acceptable).
  
  
• Strong understanding of managed cloud services and their DR characteristics and limitations.
  
  
• Experience with Kubernetes-based platforms, including regional failover, workload portability, and cluster recovery strategies.
  
  
• Familiarity with global traffic management, DNS, load balancing, and service mesh patterns.
  
  

Automation & Infrastructure as Code

• Experience designing and maintaining Infrastructure as Code using tools such as Terraform, Pulumi, CloudFormation, or Ansible.
  
  
• Strong focus on automation for recovery workflows, failover testing, and environment provisioning.
  
  
• Ability to eliminate manual recovery steps and reduce time-to-recovery through software.
  
  

Operational Excellence

• Experience defining and running DR tests, game days, and failure simulations.
  
  
• Comfortable working across organizational boundaries to influence priorities and standards.
  
  
• Strong documentation and communication skills, with the ability to translate complex technical risk into business impact.

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 a Senior Application Security Engineer, you will focus on finding and responding to security vulnerabilities across the Brex platform. In this role, you will perform code reviews, design reviews, penetration testing, and vulnerability management. You will develop and maintain tooling to perform static and dynamic testing of the Brex platform and tooling which 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,  IT Infrastructure teams.

We’re looking for individuals with a strong background and interest in penetration testing. You should have a demonstrated ability to find vulnerabilities in complex systems and craft exploits to demonstrate business impact. This role is highly cross functional and collaborative, you will have the opportunity to work with every engineering team across Brex. You should be enthusiastic about working with a variety of backgrounds, roles, and needs. Building a world-class financial service requires world-class security. 

Brex is pioneering the next wave of AI-driven financial services for dynamic, high-impact companies like Coinbase, Robinhood, and Anthropic. We're at the early stages of integrating AI across our product suite, this role will have the opportunity to influence and secure the future of AI Security at Brex. You'll be at the forefront of securing our novel AI implementations, identifying attack vectors in agentic-powered features, and partnering with product and engineering teams to build AI capabilities that our customers can trust with their critical financial operations.

Responsibilities

• Identifying vulnerabilities, demonstrating business impact, and articulating the risk of specific vulnerabilities to drive prioritization efforts
• Perform penetration testing and design reviews, looking for vulnerabilities and insecure designs, work with engineering and product to design secure product features
• Maintain and build internal tools to automate security efforts, perform SAST and DAST testing of the Brex platform, and support secure development practices
• Build and contribute to a culture of collaborative security excellence through technical leadership, learning sessions, and mentorship within the team and wider organization

Requirements

• 5+ years work experience in an Application Security or related role
• Ability to find vulnerabilities in complex systems, demonstrating business impact through custom attack chains
• Experience with a wide range of secure development activities including— threat modeling, developer education, and incident response
• Knowledge of Python, scripting languages, and AI/agentic workflows to automate tasks, build tools and improve productivity
• Collaborative mindset paired with strong written and verbal communication skills

Bonus points

• Proficiency with Kotlin, gRPC, GraphQL, Kubernetes
• Previous experience as a software engineer
• Consultancy experience performing web application security reviews
• Experience with securing distributed systems in AWS and cloud environments
• Experience with pentesting and securing agentic features and systems
• Contributions to the wider technical community— open source, public research, mentorship, community organizing, blogging, CVEs, presentations, etc
• Experience submitting to bug bounty programs or responsible disclosure programs

Compensation

The expected salary range for this role is $192,000 - $240,000. 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.

SUMMARY: Joining the Incubation Lab, you will be part of a design and technology team re-imagining human-centered design innovation and rapid concept development. As a Senior Visual Designer, you will focus on high-quality visual execution and interface design, helping to bring abstract concepts to life through tangible, polished assets that make complex ideas simple and accessible. 

HIERARCHY: Senior Individual Contributor  

PRIMARY DUTIES: 

• Design Execution: Maintain a high bar for visual craft, ensuring consistency and quality across all assigned design initiatives. 
• Visual Direction: Translate product direction into high-quality, intuitive, and elegant interfaces that bring future concepts to life. 
• Hands-on Craft: Execute visual design across a variety of outputs, from consumer-facing apps to compelling patient-journey storytelling decks. 
• Stakeholder Engagement: Communicate design rationale effectively to internal partners, ensuring clarity and alignment on design decisions. 
• Interface Design: Create engaging, innovative interfaces that balance strong aesthetics with usability across platforms like web and mobile. 

COMPENTENCY: 

• Deep attention to detail and passion for visual storytelling. 
• Solid understanding of component-based design systems. 
• Growth-minded approach with the ability to navigate fast-paced environments. 

REQUIRED EDUCATION: BA/BS in Graphic Design, User Experience, Visual Communication, Digital Media, or a related field—or equivalent practical experience. 

EXPERIENCE: 7+ years of hands-on design experience in fast-paced environments. 

LANGUAGE SKILLS: Professional proficiency in English. 

QUALIFICATIONS: 

• Strong portfolio with an emphasis on interface or screen-based experiences. 
• Proficiency with Figma and Adobe Creative Suite. 
• Demonstrated ability to prototype at multiple fidelities. 
• Hands-on experience applying AI tools (e.g., Adobe Firefly, Midjourney). 
• Legally authorized to be employed in the United States. 

PHYSICAL DEMANDS: Regular use of hands and fingers to operate a computer keyboard, mouse, and other office equipment. Regular, repetitive movements such as typing, mouse movements, and scrolling. Ability to hear and understand spoken communications. Ability to see and read computer screens and printed documents, as well as adjust focus. This includes prolonged periods of looking at a computer screen. 

WORK ENVIRONMENT: Office/Remote environment. 

EXPECTED HOURS OF WORK: Standard business hours (EST)

TRAVEL: Potential for once a year travel for a workshop. 

ADA Statement 

To perform the job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed above are representative of the knowledge, skill and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. 

This job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee. Other duties, responsibilities and activities may change or be assigned at any time with or without notice. 

EEO/AA Statement 

New Era Technology provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, national origin, religion, pregnancy, marital status, gender identity, age, physical or mental disability, or covered veteran status.  

In addition to federal law requirements, New Era Technology complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.  

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

Why this role exists:

We are seeking a highly strategic and commercially driven Head of Turnkey Platform to lead a core business unit responsible for all-in-one iGaming platform solution to B2B operators. This role combines full business ownership, product leadership, and operational excellence, ensuring our turnkey offering delivers a best-in-class, competitive advantage to our partners. The successful candidate will bring deep expertise in the iGaming ecosystem, a strong commercial mindset, and a holistic understanding of both player behavior and operator needs.

What you’ll drive:

Strategy & Outcomes

• Own the P&L of the Turnkey Business Unit, driving aggressive yet sustainable revenue growth and margin profitability.
• Define and execute a clear, competitive strategic vision for the turnkey offering, translating market insights into actionable business goals.
• Measure success through clear KPIs focused on operator retention, product performance, and business unit profitability.

 Discovery & Decisions

• Validate product innovation and ecosystem components (PAM, Payments, CRM) to ensure they deliver actual competitive advantage to our B2B partners.
• Simplify the complex turnkey product roadmap, prioritizing features that directly improve player acquisition, retention, and monetization.
• Align content providers and third-party integrations (excluding games) to optimize operator P&L drivers and user experience.

Delivery & Execution

• Scale efficient and stable operational processes across the entire turnkey platform architecture to support massive high-load traffic.
• Launch competitive Front-end, Apps, and CMS tools that enhance end-user engagement and operator conversion funnels.
• Optimize payments orchestration and KYC/compliance tool integrations to reduce friction and improve operator economics.

People & Leadership

• Build and mentor a robust multi-functional leadership team across Product Management, Operations, Partnerships, Payments, and Risk/Antifraud.
• Unblock cross-functional dependencies between IT, Marketing, Sales, and other GR8 business units to maximize turnkey platform value.
• Partner with the Sales team on high-level commercial negotiations, ensuring third-party agreements and operator deals contribute positively to the unit’s P&L.

What makes you a GR8 fit:

Must-have

• A successful track record in a senior iGaming leadership role with explicit P&L ownership of a B2B platform solution (5+ years).
• Experience managing large, complex, cross-functional teams (100+ employees).
• Deep technical and product knowledge across the entire iGaming platform stack (PAM, CRM, Payments, Bonus engines).
• Strong data-driven decision-making ability with a comprehensive understanding of player segmentation and operator operations.
• The rare ability to switch between high-level strategic thinking and hands-on execution.
• Excellent stakeholder management and cross-functional leadership skills.
• Strong negotiation and partnership management capabilities.
• Ability for business trips to Cyprus.

Nice-to-have

• An entrepreneurial background or experience scaling a product in a high-growth environment.
• Strong connections within the global iGaming content provider and aggregation models ecosystem.

Why this role exists:

This role exists to build and scale a high-quality Android experience for our core products. You’ll help us deliver fast, stable, and secure mobile solutions by owning architecture decisions, improving system resilience, and driving engineering excellence across the Android domain.

What you’ll drive:

Strategy & outcomes

• Own Android architecture decisions and long-term technical direction.
• Improve app performance, stability, and scalability.
• Drive adoption of modern Android practices (Compose, Coroutines, clean architecture).
• Identify and reduce technical debt in critical areas.
• Define and track key engineering quality metrics.

Discovery & decisions

• Translate product requirements into scalable technical solutions.
• Evaluate trade-offs between speed, quality, and complexity.
• Validate architecture approaches through prototypes and experiments.
• Contribute to system design across mobile and backend boundaries.

Delivery & execution

• Build and ship high-quality features end-to-end.
• Optimize networking, storage, and app performance.
• Ensure reliable background processing and lifecycle handling.
• Maintain clean, testable, and maintainable code.
• Improve CI/CD and release processes.

Stakeholder & cross-team collaboration

• Partner closely with Product, Design, and Backend teams.
• Align on API contracts and system behavior.
• Communicate technical decisions clearly to non-technical stakeholders.
• Contribute to engineering culture and standards.

Leadership & mentorship

• Mentor junior and middle engineers.
• Lead code reviews and knowledge sharing.
• Raise the bar for engineering quality and ownership.
• Help scale team practices as the product grows.

What makes you a GR8 fit

Must-have

• Strong experience with Android development (Kotlin).
• Deep understanding of Android SDK, app lifecycle, and system behavior.
• Hands-on experience with Jetpack Compose.
• Experience with modern Android stack (Coroutines, Flow).
• Solid understanding of architecture patterns (MVVM / MVI / Clean Architecture).
• Experience with networking (Retrofit, OkHttp) and API design.
• Strong knowledge of multithreading, concurrency, and performance optimization.

Nice-to-have

• Experience with large-scale or high-load mobile apps.
• Knowledge of security best practices (auth, encryption, data protection).
• Experience with CI/CD and DevOps practices.
• Familiarity with backend or cloud architecture.
• Experience with WebSocket or real-time data handling.
• Experience mentoring engineers or leading initiatives.

Why this role exists:

This role exists to protect our sportsbook ecosystem from financial leaks and sophisticated fraud. You’ll help us maintain platform integrity and profitability by analyzing real-time betting data, neutralizing risks, and catching vulnerabilities before they scale.

What you’ll drive:

Real-Time Detection & Monitoring

• Validate live deposit and withdrawal activity using internal monitoring tools and anti-fraud alert systems.
• Detect and intercept suspicious transaction patterns, including carding, money laundering (AML), account takeover (ATO), and payment method abuse.
• Analyze player behavior at the cashier level to uncover organized fraud rings and sophisticated bonus abuse linked to payment schemes.

Risk Decisions & Execution

• Apply immediate risk mitigation actions, independently triggering transaction holds, account freezes, and payment method restrictions.
• Drive KYC and EDD (Enhanced Due Diligence) requests for suspicious accounts to strictly validate player identities and source of funds.
• Manage and resolve complex chargeback disputes and internal JSM tickets related to financial suspicions without compromising operational SLAs.

Cross-team Collaboration & Process Improvement

• Partner with Compliance, Payments, and Finance teams to conduct deep-dive investigations into financial anomalies and potential security breaches.
• Document audit-ready case notes and maintain accurate internal tracking tables for all anti-fraud and payment actions.
• Optimize workflows by reporting bugs in payment logic, clarifying risk rules, and suggesting improvements to automated velocity checks.

What makes you a GR8 fit:

Must-have

• 1+ year of hands-on experience in payments fraud, risk operations, or financial crime monitoring (preferably in iGaming or FinTech).
• Strong understanding of payment ecosystem mechanics, including credit card processing, e-wallets, and chargeback lifecycles.
• Proven ability to make fast, autonomous decisions under time pressure with high operational accuracy.
• Readiness to work in a 24/7 environment on a structured 4/2 rotating shift schedule (morning, evening, and night shifts).
• Intermediate (B1+) English level to communicate clearly with international payment partners and maintain documentation.
• Native Ukrainian or Russian. 

Nice-to-have

• Experience working with BI tools (like Tableau) or handling large transactional datasets.
• Familiarity with specialized fraud detection systems (e.g., SEON, Sift, or Accertify).
• Basic understanding of SQL for independent data validation and reporting.

Why this role exists:

This role exists to protect our sportsbook ecosystem from financial leaks and sophisticated fraud. You’ll help us maintain platform integrity and profitability by analyzing real-time betting data, neutralizing risks, and catching vulnerabilities before they scale.

What you’ll drive:

Real-Time Detection & Monitoring

• Validate live and pre-match sports betting activity using Fairplay Monitor and internal alert systems.
• Detect and intercept suspicious betting patterns, including arbitrage, value exploitation, latency abuse, and abnormal winnings.
• Analyze player behavior across multiple accounts to uncover organized fraud rings and bonus abuse.

Risk Decisions & Execution

• Apply immediate risk mitigation actions, independently triggering account segmentation, betting limits, and market restrictions.
• Drive verification requests for suspicious accounts to strictly validate player identities and block bad actors.
• Resolve complex customer cases and internal JSM tickets related to fraud suspicions without compromising operational SLAs.

Cross-team Collaboration & Process Improvement

• Partner with Trading, Payments, Risk, and Integrity teams to conduct deep-dive investigations into betting anomalies.
• Document audit-ready case notes and maintain accurate internal tracking tables for all antifraud actions.
• Optimize our workflows by reporting bugs, clarifying rule logic, and suggesting improvements to our detection systems.

What makes you a GR8 fit:

Must-have

• 1+ year of hands-on experience in sports betting operations, fraud detection, or risk monitoring.
• Strong understanding of sports betting mechanics, odds logic, and common fraud schemes (e.g., arbitrage, value betting).
• Proven ability to make fast, autonomous decisions under time pressure with high operational accuracy.
• Readiness to work in a 24/7 environment on a structured 4/2 rotating shift schedule (morning, evening, and night shifts).
• Intermediate (B1+) English level to communicate clearly with cross-functional teams and maintain documentation.

Nice-to-have

• Experience working with BI tools (like Tableau) or handling large operational datasets.
• Familiarity with alert-based fraud detection systems (e.g., Fairplay Monitor).
• Basic understanding of SQL for independent data validation.

Why this role exists:

This role exists to transform complex internal operations into seamless, high-performance digital workflows. You’ll help us scale our operational efficiency by owning the end-to-end design of the tools that power our teams every day.

What you’ll drive:

Discovery & Decision Making

• Identify and audit pain points for internal users, turning frustration into empowering workflows.
• Validate design hypotheses through prototypes and direct feedback loops with internal stakeholders.
• Simplify complex business requirements into intuitive user flows without losing functional depth.

Design & Execution

• Ship elegant, scalable UI/UX solutions using Figma and established admin design patterns.
• Design detailed specifications, wireframes, and high-fidelity prototypes for engineering handoff.
• Refine data visualization components to make massive datasets readable and actionable.

Collaboration & Alignment

• Partner closely with Product Management and Engineering to align on technical feasibility and deadlines.
• Communicate the "why" behind your design choices, participating in active design critiques.
• Unblock development by providing clear edge-case documentation (empty states, errors, permissions).

What makes you a GR8 fit:

Must-have

• 3+ years of UI/UX experience specifically in Back-office, Admin panels, or Enterprise SaaS.
• Portfolio showing end-to-end flows for complex, data-heavy products (not just landing pages).
• Advanced Figma skills and a deep understanding of admin panel design patterns.
• Proven ability to ship products within technical constraints and iterate based on feedback.
• Intermediate+ English level and fluency in Ukrainian.
• Proactive ownership: You don't wait for a task; you find the friction and propose a fix.

Nice-to-have

• Experience with Design Systems for internal tools.
• Basic understanding of front-end constraints (how tables and forms are built).
• Experience in High-load systems.

The Financial Institutions Team

The Financial Institutions Team at OpenZeppelin drives the adoption of security solutions for financial institutions moving onchain. As tokenization and digital assets gain momentum, we partner with the world’s largest institutions with industry-leading security audits and battle-tested open-source smart contract libraries.

Our mission is to generate revenue through best-on-class security services while building innovative solutions for a rapidly evolving market. We operate cross-functionally with Pre-Sales, Partnerships, Ecosystem, Project Delivery, and Legal to ensure a seamless go-to-market strategy and flawless execution.

What you'll be doing

As our first dedicated Institutional Sales Lead for the APAC market, you will be instrumental in executing our go-to-market strategy - from outbound prospecting to deal closure - while laying the foundation for a scalable sales organization. Your responsibilities will include:

• Managing the full sales cycle with financial institutions, from lead generation and prospecting to contract negotiation and deal closure.
• Leading discovery conversations with key stakeholders - including C-suite executives and internal Solution Architects - to surface client needs and compellingly articulate OpenZeppelin's value proposition.
• Applying a consultative, solution-selling approach to diagnose complex institutional challenges and map them to tailored OpenZeppelin security offerings that demonstrate clear business value.
• Driving revenue growth in the region by consistently meeting and exceeding your sales targets.
• Identifying strategic partnerships in your region to generate qualified leads and accelerate deal velocity, then handing off to our Partnerships team at the right moment.
• Staying ahead of rapidly evolving market trends and competitive dynamics to proactively shape outreach and positioning.
• Representing OpenZeppelin at key APAC and global industry events, conferences, and trade shows to build relationships and uncover new business opportunities.
• Maintaining accurate pipeline forecasts, tracking performance metrics, and continuously refining your sales approach using data-driven insights.

You have

• 6+ years of experience in enterprise or institutional sales, with a proven track record of consistently exceeding revenue targets.
• Deep understanding of Web3, digital assets, and the tokenization landscape; hands-on experience in the crypto industry is a strong plus.
• Residency in the APAC time zones - Singapore/HK are preferred.
• Exceptional communication, negotiation, and relationship-building skills, with the gravitas to engage C-suite and senior decision-makers.
• A well-established network within the financial services or blockchain ecosystem, including founders, executives, and industry leaders.
• A data-driven mindset combined with the creativity and adaptability to thrive in a fast-moving, high-ambiguity environment.
• AI-native proficiency.
• Demonstrated success working in a remote-first, globally distributed team.
• Bachelor’s degree in business, finance, or a related field.
• Professional fluency in English and Mandarin (written and spoken).

Nice to have

• An existing network spanning TradFi asset managers, hedge funds, market makers, custodians, and financial intermediaries.
• Experience rapidly generating and testing new sales motions ("fail fast") and distilling learnings for both clients and internal stakeholders.
• Strong acumen in GTM engineering or AI-powered sales tooling.
• Technical background or familiarity with smart contract development, especially in Solidity.
• Fluency in Japanese, or Korean.

Logistics:

Our interview process takes place on Zoom and tends to consist of the following stages:

• Recruiter Interview (30-45 minutes)
• Hiring Manager Interview (45 minutes)
• Team Interview (30 minutes)
• Leadership Interview (30 minutes)
• Paid work trial (lasting up to 10 days)
• Reference checks

Please let us know if you require any accommodations for the interview process, and we'll do our best to provide assistance.

At Trivelta, we build the technology that powers modern experiences partnering with online sports betting & casino operators to launch their own fully customized branded, legally compliant iGaming platforms and products that drive engagement, retention, and revenue. Through our proprietary sports-book and casino engine, we enable partners to offer real social interactions, predictive gameplay, and casino entertainment in one unified experience.

The Role

As a Lead Backend Software Engineer you will play a pivotal role in designing, developing, and maintaining the platform’s core infrastructure. As a technical leader, this individual will be responsible for driving innovation, optimizing system performance, and ensuring the scalability, security, and reliability while collaborating with cross-functional teams, including product, security, compliance, and data analytics.

Key Responsibilities

• Architect & Develop Backend Systems — Design and implement scalable, high-performance backend solutions, ensuring robust APIs for mobile, web, and third-party integrations.
• Ensure Performance, Security & Compliance — Optimize system performance, scalability, and reliability; implement security best practices; ensure compliance with AML, KYC, data privacy, and state-by-state sweepstakes regulations.
• Manage Data Infrastructure — Build and maintain data pipelines to support analytics, fraud detection, geolocation controls, and regulatory reporting.
• Lead & Mentor — Provide technical leadership, guide engineers in best practices, and foster a culture of continuous learning and innovation.
• Drive Technical Strategy — Lead architectural discussions, evaluate emerging technologies in gaming/fintech/AI fraud detection, and align solutions with long-term company goals.
• Collaborate Cross-Functionally — Partner with product, finance, compliance, and support teams to translate requirements into technical solutions and ensure seamless operations.
• Ensure Operational Resilience — Lead incident response for outages or security events, implement proactive monitoring/alerting systems, and conduct root cause analysis for long-term fixes.

Qualifications

• Proven experience designing, developing, and scaling high-performance backend systems.
• Expert hands-on expertise in Python for backend development, automation, and data processing.
• Skilled in API development, CI/CD, and infrastructure automation.
• Deep understanding of system performance tuning, security protocols, and regulatory compliance (AML, KYC, data privacy).
• Experience with data pipeline design, analytics integration, and geolocation-based access controls.
• Demonstrated leadership in mentoring engineers and making strategic architectural decisions.
• Excellent collaboration skills across product, finance, compliance, and support functions.
• Hands-on experience with incident management, monitoring systems, and root cause analysis.

 Requirements

• Ownership mindset — You take full responsibility for your systems and decisions, proactively identifying problems before they escalate.
• Clear communicator — You can translate complex technical concepts for non-technical stakeholders across product, compliance, and business teams.
• Resilience under pressure — You stay calm and focused during incidents, leading your team through ambiguity without losing sight of priorities.
• Team multiplier — You genuinely invest in the growth of the engineers around you, making the whole team stronger over time.
• Adaptability — You thrive in fast-moving environments where requirements change and you embrace new challenges as opportunities.

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.

At WordPress VIP (part of Automattic), we power the most influential properties on the web, from the White House to Meta and Salesforce. We are looking for a Forward Deployed Engineer (FDE) to join our mission in redefining how the world’s largest enterprises scale.

This isn't your typical engineering role; it’s an advanced, consultative position where you operate as a hands-on architect and a growth catalyst. As an FDE, you are the front line of trust, embedded with our most strategic customers to solve high-stakes technical challenges in real-time. By combining engineering excellence with deep customer proximity, you won’t just solve problems for customers, you’ll solve them with them, driving business expansion across the world’s most scaled environments. If you thrive in high-impact, ambiguous environments and want to help define the future of open-source technology at the enterprise level, we want to talk to you.

About the Team

The Customer Engineering and Architecture (CEA) team at WordPress VIP works directly with our most important customers to ensure they achieve their core technical outcomes and expand their investment in WordPress, VIP, and Automattic.

The team’s mission is to drive measurable technical success and long-term growth for VIP’s largest customers through a hands-on, scalable Forward Deployed Engineering practice that combines deep technical partnership with rapid, high-impact solutioning.

Role Overview

As a Forward Deployed Engineer (FDE), you will serve as an embedded technical partner to one or more complex WordPress VIP customers in Media, Enterprise, and Government.

You’ll work at the intersection of engineering, consulting, and customer success—diving deep into customer architectures, identifying and resolving complex technical challenges, and shaping scalable solutions that drive long-term adoption and expansion.

This is not a pure support or implementation role. It’s an advanced, consultative engineering position where you’ll operate as a hands-on architect, a trusted advisor, and a growth catalyst, helping customers succeed with WordPress VIP and related open-source technologies.

What You’ll Do

Deliver Customer Technical Outcomes

• Engage directly with large VIP customers (often embedded in their teams) to ensure successful adoption, integration, and scaling of WordPress VIP solutions.
• Directly identify and solve complex architectural and technical problems.
• Partner with customers as they leverage VIP’s support capabilities, ensuring they fully utilize VIP's high-availability support.
• Conduct technical discovery and design sessions, producing architecture recommendations, migration plans, and implementation guidance.
• Maximize the customer’s value from VIP’s platform, integrations, and partner ecosystem.

Drive Expansion Through Services-Led Growth

• Identify and shape professional services opportunities through ongoing technical engagement. Document and refer engagements to other VIP PS teams.
• Define scopes of work (SOWs) for technical expansion projects, collaborating closely with Services, Account Management, and Commercial teams.
• Participate in presales and renewal discussions as the technical voice of confidence and credibility.

Hold and Share Deep Customer Context

• Maintain a living technical knowledge base of customer architectures, deployments, and patterns.
• Act as the internal authority on assigned customer environments, proactively identifying risks and opportunities.
• Contribute to team-wide tooling and process improvements, including delivery platforms, AI workflows, and documentation systems (e.g., Rocketlane, Notion, or similar).

Contribute to the Forward Deployed Engineering Practice

• Using data, help refine the operating model for FDE engagements, balancing presence, value, and scalability.
• Experiment with and adopt AI-assisted workflows to improve delivery efficiency and insight generation.
• Collaborate with the leadership to expand the practice into a repeatable, revenue-driving function.

Qualifications

Required

• 5+ years of hands-on experience in web or application engineering, minimally in PHP and/or JavaScript.
• Strong familiarity with WordPress at scale, including common architectures, REST APIs, caching/CDNs, performance optimization, integration methods and security hardening.
• Experience working directly with large customers in technical consulting, architecture, or professional services.
• Proven ability to diagnose and resolve complex technical issues in distributed or high-traffic environments.
• Excellent communication and stakeholder management skills: equally comfortable in a debugging session and an executive briefing.
• Commercial mindset: ability to spot opportunities for value expansion and articulate ROI to non-technical stakeholders.

Ideal

• Experience with WordPress VIP, enterprise hosting, or similar SaaS/PaaS platforms.
• Prior experience as a solutions architect, senior developer, or forward deployed engineer in a consulting or SaaS/PaaS context.
• Familiarity with AI-assisted development, observability tools, and modern DevOps practices (CI/CD, GitHub Actions, etc.).
• Domain experience in Government, Media, or Enterprise.

Key Competencies

• Technical Depth & Breadth: Rapidly understand diverse architectures and technologies.
• Customer Empathy: Translate customer needs into actionable technical and business outcomes.
• Problem Ownership: Take responsibility for technical success, even beyond formal scope.
• Commercial Awareness: Balance engineering rigor with business objectives.
• Learning Agility: Continuously adapt to new tools, patterns, and customer contexts.
• Collaboration: Work fluidly with Services, Support, Product, and Commercial teams to deliver holistic outcomes.

Salary range: $180,000-$230,000 USD.  Please note that salary ranges are global, regardless of location, and we pay in local currency.

We are searching for high-caliber candidates with the skills and qualities to have a net positive for Automattic. Pay will reflect the potential contribution and the impact you can bring, which may, in some cases, go beyond the range stated.

This isn’t your typical work-from-home job—we are a fully-remote company with an open vacation policy. Read more about our compensation philosophy. To see a full list of benefits by country, consult our Benefits Page. And check out these links to learn more about How We Hire and What We Expect from Ourselves. #LI-DNI

Job Summary

We are seeking a highly skilled Senior Azure Infrastructure Engineer to design, implement, and manage secure, scalable, and resilient Azure cloud environments. This role has a strong focus on Disaster Recovery (DR) and business continuity for critical workloads.

You will lead the design and execution of DR strategies, ensuring alignment with enterprise standards and industry best practices. The ideal candidate brings deep Azure expertise, strong automation skills, and a commitment to operational excellence.

Key Responsibilities

Azure Infrastructure & Cloud Engineering

• Design and implement Azure infrastructure solutions including compute, storage, networking, and security
• Lead Azure Landing Zone design and implementation aligned with enterprise architecture
• Optimize infrastructure for performance, availability, scalability, and cost
• Ensure alignment with Microsoft Well-Architected Framework

Disaster Recovery & Business Continuity

• Architect and implement DR solutions using Azure Site Recovery (ASR) and Azure Backup
• Define and manage RTO/RPO objectives, failover/failback strategies, and DR test plans
• Configure cross-region replication and traffic routing using Azure Traffic Manager and Front Door
• Automate DR processes, runbooks, and recovery workflows
• Conduct DR drills and continuously improve recovery readiness

Infrastructure as Code & Automation

• Develop and maintain Infrastructure as Code (IaC) using Bicep, ARM templates, and Terraform
• Automate deployments and operations using PowerShell scripting, Azure CLI, and DevOps pipelines
• Collaborate with DevOps teams to implement CI/CD pipelines and environment automation

Security, Compliance & Governance

• Implement governance using Azure Policy, Blueprints, and RBAC
• Ensure compliance with regulatory standards and security best practices
• Manage identity and access using Azure AD, MFA, and hybrid identity solutions
• Perform security audits and vulnerability assessments

Monitoring & Operational Excellence

• Implement monitoring and alerting using Azure Monitor and Log Analytics
• Lead incident response, troubleshooting, and Root Cause Analysis (RCA)
• Participate in on-call rotations and provide escalation support during critical incidents
• Maintain documentation, runbooks, and knowledge base

Mandatory Skills

• Azure Core Infrastructure (Landing Zone design & implementation)
• Disaster Recovery using Azure Site Recovery (ASR)
• Infrastructure as Code (IaC): Bicep, ARM, Terraform
• PowerShell scripting
• Strong experience in Azure networking, security, and monitoring

Required Qualifications

Experience

• 5+ years of experience in Azure infrastructure engineering
• Minimum 2+ years focused on Disaster Recovery / ASR solutions

Education

Bachelor’s degree in Computer Science, IT, or related field (or equivalent experience)

Certifications

• CJIS Certification (mandatory; must obtain if not already certified)
• Microsoft Certified: Azure Solutions Architect Expert (preferred)

Preferred Skills

• Experience with hybrid cloud DR (on-premises to Azure)
• Hands-on with Azure DevOps and CI/CD pipelines
• Experience with Azure Backup, Traffic Manager, Front Door
• Knowledge of automation accounts and observability tools

Soft Skills

• Strong problem-solving and troubleshooting skills
• Excellent communication and documentation abilities
• Ability to work independently and in a global team environment
• Proactive mindset with focus on reliability and security

#LI-US1

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

🚀 About the Role

1. Make Product People a category-defining company in the consulting space. When people think of ride-sharing, they think of Uber; for LLMs, it’s Claude/ChatGPT. For Product, Growth Interim/Fractional support, we want Product People to be top of mind. You’ll own initiatives that get us there: playbooks, knowledge sharing, networking, growth automation, etc.
2. Serve as an Interim Product Manager in mostly post-product market-fit digital-first companies ranging from series B to publicly listed. Some are category leaders and/or leverage the latest tech trends. Others need help getting there. You’ll be driving complex cross-functional initiatives in B2C or B2B products. It can be anything and everything.
3. Solve for the clients AND our company. Prioritize ruthlessly. Make an incredible impact, bring clarity in chaos, execute flawlessly, and fast. Manage three parallel streams internally and externally. You are good at both unglamorous hands-on work and strategy. You understand how deep or wide to go, plus when that’s the case and when it’s not.
4. Communicate a compelling narrative about the product. And each existing or potential feature/capability you manage: "What job/problem does it solve?", "For whom?", "How big is the problem/market?", "What is success?" and why solving this matters in the first place. Understand, share, and shape strategic business context with the client’s leadership team.
5. Effectively manage various groups consisting of strong personalities. Adapt to their communication preferences. Integrate quickly and feel part of any team in days, not weeks. People love working with you and would work with you again, despite you saying “no” to them a lot.  Always come off as friendly, helpful, and accommodating, even when pushing back on irrational demands.
6. Coach the next generation. Train, mentor, and delegate relentlessly to help our Associate Product Managers strengthen their skills. Manage 1-6 people depending on tenure, performance, and career ambitions. Collaborate with 2-3 colleagues daily. Break down complex initiatives into manageable, quantifiable work for the team. We use the teaching hospital method (watch, do it yourself under supervision, teach others to do it).
7. Rinse and repeat. Go on a new mission with a new client or in a new team, new domain, new product, or initiative every 3-6 months. Continue sharpening your edge and actively helping our internal initiatives.

🧠 About You

1. You like Fixing the Mess in a High-ownership, High-visibility Role. Like Marie Kondo, we come in when there’s a mess. Many people go see a doctor too late; so many clients bring external support when there’s already significant damage. You’re unfazed by that and create structure from chaos. You find these adventures exciting and make this the time of your life.
2. Optimism as an Operating System. You have a high-happiness resting point. You handle high-pressure situations and difficult people with timely and composed reactions. Our job is “humans all the way down”. No client wants to bring in a pessimistic, cynical, or attacking consultant. They expect a politely relentless and cheerful style.
3. Driven, Collaborative, Kind, and Direct. People would leave higher-paying jobs to work with you again. You give constructive and immediate feedback to help others grow, accept it graciously, and adapt quickly. Clients you worked with recommend us to others and come back to work with us again.
4. Context Switching Ninja. You learn fast and make quick and solid decisions with incomplete info. We won’t ever have all our clients' context on internal priorities and politics. You can deep dive with engineers, and then switch to explain the business angle to senior leadership.
5. Commercial Leadership. You understand how companies make money and grow, know which levers to pull with a product mindset, and are pragmatic and outcome-oriented.

💡 Leveling and Compensation

The level we offer is determined during the recruitment process based on the skills and knowledge you demonstrate (including Product Management skills and soft skills like presenting, receiving feedback), so we can usually confirm the exact level only after multiple stages such as the Product Challenge and Live Simulation; as a result, regardless of the title you applied for, we may offer a level higher or lower than the one in the job ad. We aim to place candidates where they’re most likely to succeed and have room to grow, so years of PM experience or your title in the previous roles are not deciding factors since titles and role scope vary widely across companies. For more details, check our Level Expectations.

Your salary is determined by the Level (L1-L8) set during the recruitment process, the Location Cluster your country of tax residence is in, and tenure within the role. We also have Quarterly Bonuses (Uncapped) and a Yearly Profit Participation Pool. For example, all PMs (L4) in Location Cluster 2 (Greece, Croatia, etc) will have the same salary, and it will be different from that of L4s in Location Cluster 1 (Germany, Sweden, etc). See our transparent salaries. 

🚀 About the Role

When people think of streaming, they think of Netflix. For music, it’s Spotify. When they think about Product Management, they should think of us.

You’ll jump into high-impact client projects, helping post-product market fit digital-first companies tackle strategic and executional challenges. Our clients include category leaders and companies navigating growth, innovation, or transformation.

1. Solve problems for clients and for Product People.
   You’ll prioritise, zoom in and out, and make a real impact. You bring clarity to chaos and orchestrate seamless execution. You’ll manage discovery and delivery for three streams at once, internally and externally. You're comfortable with both strategy and hands-on, unglamorous work, and you know when to go deep or stay broad.
2. Work with strong personalities and diverse teams.
   You adapt to communication styles and integrate quickly, feeling like part of the team within days, not weeks. People enjoy working with you, even when you push back. You're approachable, constructive, and always professional, even when challenging unrealistic demands.
3. Serve as an Interim Product Manager. We serve post-product market-fit digital-first companies ranging from series B to publicly listed. Some are category leaders and/or leverage the latest tech trends. You’ll be driving complex cross-functional initiatives in B2C or B2B products. It can be anything from setting and reaching quarterly OKRs at a scale-up to Continuous Discovery/Jobs To Be Done (JTBD) or A/B tests elsewhere. Or unblocking stuck initiatives. 
4. Craft and communicate compelling product narratives.
   For every feature or capability, you can answer:
   • What job/problem does this solve?
   • For whom?
   • How big is the market/problem?
   • What does success look like?
   • Why does solving this matter?
   • You’ll share and help shape strategic context with clients’ CPOs, VPs, Directors, or Heads of Product.
5. Coach the next generation of PMs. Train, mentor, and delegate relentlessly to help our Associate Product Managers strengthen their skills. Manage 1-6 people depending on tenure, performance reviews, and career ambitions. Collaborate with 2-3 colleagues daily. Break down complex initiatives into manageable, quantifiable work for the team. We use the teaching hospital method (watch, do it yourself under supervision, teach others to do it). 
6. Rinse and repeat. Go on a new mission with a new client or in a new team, new domain, new product, or initiative every 3-6 months. Continue sharpening your edge and actively helping Product People's internal initiatives.

🧠 About You

• You Fix the Mess (and kind of love it).
  You arrive when things are messy, and leave behind clarity, structure, and surprisingly joyful spreadsheets. Most clients don’t bring us in during the calm; they call when it’s “uh-oh” o’clock. You don’t just handle chaos, you thrive in it and somehow make it fun (for you and them).
• Optimism as an Operating System.
  Your emotional operating system is set to “can-do.” You stay calm during meltdowns, and you deliver difficult truths with a smile and a plan. You’re relentlessly polite, cheerfully persistent, and immune to drama. Basically, if Product were a weather system, you’re the high-pressure zone that clears the storm.
• You’re Driven, Collaborative, and Charmingly Direct.
  You’re the teammate clients want back, and your ex-colleagues leave cushy roles to work with you again. You speak human, not jargon. Feedback? You give it kindly, take it well, and treat it like a cheat code for levelling up. You’re here to do excellent work, lift others up, and make the team better.
• You Context Switch like it’s a superpower.
  You can drop into an engineer’s Slack thread, jump to an exec pitch, and then sketch out a roadmap, all before your second coffee. Clients don’t always come to us at their most organised times (read: M&A, staff turnover, existential crisis). You roll with it, find the signal in the noise, and make magic across shifting priorities. At the same time, you know how to create boundaries that support effective collaboration.
• You think commercially.
  You get how businesses grow, where money comes from, and which bets matter. You speak in impact, not just input. Whether it’s retention, expansion, or efficiency, you know how to chase the outcome, measure it, and ship value without gold-plating the roadmap.

💸 Compensation & Perks

• Based on the location, tax of residence and level. The exact level is defined based on the skills and knowledge demonstrated within the hiring process, which includes an unbiased blind review (more about our hiring process). However, this vacancy is focused on finding the best PMCs at an L4 level. To ensure fairness, the salaries are the same for everyone within the same Level and Location Tier. 
  
  1. Product Management Consultant (L4) 
     1. Location Cluster 1 (High cost of living countries: Germany, Netherlands, etc.) €70,000/year
     2. Location Cluster 2 (EU countries, medium cost of living: Spain, Portugal, etc.) €48,000/year
     3. Location Cluster 3 (Non-EU, lower cost of living: South Africa, Pakistan, etc.) €38,000/year
• See our transparent salaries.
• Tenure-Based Compensation Increase.
  A 5% increase after 12 months and a 10% increase after 24 months of tenure. Resets and restarts when promoted to the next level.
• Uncapped bonuses (quarterly).
  We usually pay ~€25,000/quarter in bonuses to team members. These are transparently shared across our organisation. (e.g., €3,000 employee referral, €1,000 client expansion, €1,000 when a client returns, etc.). To be eligible, the team member must be at Product People at the end of the quarter, and not pending an exit (resignation, termination, or counsel to leave).
• Profit participation (yearly). 
  In March, we split a % of last year’s profit between all eligible employees with 12+ months of tenure at the time of the payout and not pending an exit (resignation, termination, or counsel to leave).
• Get ready for this: We don't just offer a job, we invest in you. Enjoy a Wellness Budget, Home Office/Coworking perks, and a 3-year anniversary gift. We also fuel your growth with learning and networking budgets, and support you with generous leave policies. Benefit from annual workations, unlimited unpaid time off, and a paid sabbatical every 3 years. Plus, we rock a 4-day workweek! We're serious about a workplace that supports your life, not just your work.

📚 Growth Opportunities

1. Measurement of success. We prioritise continuous growth and feedback. Regular performance appraisals are led by Line Managers and the VP/Director of Product and involve monthly reviews of a 3-month development plan focusing on skill growth. Evaluations encompass 360-degree feedback, client feedback in conjunction with internal reviews, direct observations by managers, and adherence to Product People Levelling Expectations.
2. Promotions. To be promoted, meet the role's tenure criteria, demonstrate performance at the next level for 6 months, and submit an approved promotion case. We have a strong track record of promoting people from within and taking team members from Associate to Product Manager or from Senior to Director of Product during their successful tenures at Product People.
3. Continuous learning. Continuous learning is at our core. Embracing "Spread knowledge generously," we foster growth through weekly Sharing and Rubber Ducky sessions, a dedicated #help channel, and promoting peer mentorship. These opportunities complement the structured mentoring from line managers and mission supervisors in the Product People Trio framework. We also offer a Learning Budget to expand your Product Management knowledge.

🚀 About the Role

When people think of streaming, they think of Netflix. For music, it’s Spotify. When they think about Product Management, they should think of us.

You’ll jump into high-impact client projects, helping post-product market fit digital-first companies tackle strategic and executional challenges. Our clients include category leaders and companies navigating growth, innovation, or transformation.

1. Solve problems for clients and for Product People.
   You’ll prioritise, zoom in and out, and make a real impact. You bring clarity to chaos and orchestrate seamless execution. You’ll manage discovery and delivery for three streams at once, internally and externally. You're comfortable with both strategy and hands-on, unglamorous work, and you know when to go deep or stay broad.
2. Work with strong personalities and diverse teams.
   You adapt to communication styles and integrate quickly, feeling like part of the team within days, not weeks. People enjoy working with you, even when you push back. You're approachable, constructive, and always professional, even when challenging unrealistic demands.
3. Support Senior Product Management Consultants who serve as Interims. Our clients are usually post-product market-fit from series B to publicly listed. You’ll be supporting the client-facing PMs who drive complex cross-functional initiatives in B2C or B2B products. It can be anything from setting and reaching quarterly OKRs at a scale-up to Continuous Discovery/Jobs To Be Done (JTBD) or A/B tests elsewhere. 
4. Craft and communicate compelling product narratives.
   For every feature or capability, you can answer:
   • What job/problem does this solve?
   • For whom?
   • How big is the market/problem?
   • What does success look like?
   • Why does solving this matter?
   • You’ll share and help shape strategic context with clients’ CPOs, VPs, Directors, or Heads of Product.
5. Rinse and repeat. Go on a new mission with a new client or in a new team, new domain, new product, or initiative every 3-6 months. Continue sharpening your edge and actively helping Product People's internal initiatives. 

🧠 About You

• You Fix the Mess (and kind of love it).
  You arrive when things are messy, and leave behind clarity, structure, and surprisingly joyful spreadsheets. Most clients don’t bring us in during the calm; they call when it’s “uh-oh” o’clock. You don’t just handle chaos, you thrive in it and somehow make it fun (for you and them).
• Optimism as an Operating System.
  Your emotional operating system is set to “can-do.” You stay calm during meltdowns, and you deliver difficult truths with a smile and a plan. You’re relentlessly polite, cheerfully persistent, and immune to drama. Basically, if Product were a weather system, you’re the high-pressure zone that clears the storm.
• You’re Driven, Collaborative, and Charmingly Direct.
  You’re the teammate clients want back, and your ex-colleagues leave cushy roles to work with you again. You speak human, not jargon. Feedback? You give it kindly, take it well, and treat it like a cheat code for levelling up. You’re here to do excellent work, lift others up, and make the team better.
• You Context Switch like it’s a superpower.
  You can drop into an engineer’s Slack thread, jump to an exec pitch, and then sketch out a roadmap, all before your second coffee. Clients don’t always come to us at their most organised times (read: M&A, staff turnover, existential crisis). You roll with it, find the signal in the noise, and make magic across shifting priorities. At the same time, you know how to create boundaries that support effective collaboration.
• You think commercially.
  You get how businesses grow, where money comes from, and which bets matter. You speak in impact, not just input. Whether it’s retention, expansion, or efficiency, you know how to chase the outcome, measure it, and ship value without gold-plating the roadmap.

💸 Compensation & Perks

• Based on the location, tax of residence and level. The exact level is defined based on the skills and knowledge demonstrated within the hiring process, which includes an unbiased blind review (more about our hiring process). People with prior work experience tend to get levelled as L3. To ensure fairness, the salaries are the same for everyone within the same Level and Location Tier. 
  
  1. Associate Product Management Consultant II (L3) 
     1. Location Cluster 1 (High cost of living countries: Germany, Netherlands, etc.) €48,000/year
     2. Location Cluster 2 (EU countries, medium cost of living: Spain, Portugal, etc.) €33,000/year
     3. Location Cluster 3 (Non-EU, lower cost of living: South Africa, Pakistan, etc.) €26,000/year
  2. Associate Product Management Consultant I (L2)
     
     1. Location Cluster 1 (High cost of living countries: Germany, Netherlands, etc.) €35,000/year
     2. Location Cluster 2 (EU countries, medium cost of living: Spain, Portugal, etc.) €24,000/year
     3. Location Cluster 3 (Non-EU, lower cost of living: South Africa, Pakistan, etc.) €18,200/year
• See our transparent salaries.
• Tenure-Based Compensation Increase.
  A 5% increase after 12 months and a 10% increase after 24 months of tenure. Resets and restarts when promoted to the next level.
• Uncapped bonuses (quarterly).
  We usually pay ~€25,000/quarter in bonuses to team members. These are transparently shared across our organisation. (e.g., €3,000 employee referral, €1,000 client expansion, €1,000 when a client returns, etc.). To be eligible, the team member must be at Product People at the end of the quarter, and not pending an exit (resignation, termination, or counsel to leave).
• Profit participation (yearly). 
  In March, we split a % of last year’s profit between all eligible employees with 12+ months of tenure at the time of the payout and not pending an exit (resignation, termination, or counsel to leave).
• Get ready for this: We don't just offer a job, we invest in you. Enjoy a Wellness Budget, Home Office/Coworking perks, and a 3-year anniversary gift. We also fuel your growth with learning and networking budgets, and support you with generous leave policies. Benefit from annual workations, unlimited unpaid time off, and a paid sabbatical every 3 years. Plus, we rock a 4-day workweek! We're serious about a workplace that supports your life, not just your work.

📚 Growth Opportunities

1. Measurement of success. We prioritise continuous growth and feedback. Regular performance appraisals are led by Line Managers and the VP/Director of Product and involve monthly reviews of a 3-month development plan focusing on skill growth. Evaluations encompass 360-degree feedback, client feedback in conjunction with internal reviews, direct observations by managers, and adherence to Product People Levelling Expectations.
2. Promotions. To be promoted, meet the role's tenure criteria, demonstrate performance at the next level for 6 months, and submit an approved promotion case. We have a strong track record of promoting people from within and taking team members from Associate to Product Manager or from Senior to Director of Product during their successful tenures at Product People.
3. Continuous learning. Continuous learning is at our core. Embracing "Spread knowledge generously," we foster growth through weekly Sharing and Rubber Ducky sessions, a dedicated #help channel, and promoting peer mentorship. These opportunities complement the structured mentoring from line managers and mission supervisors in the Product People Trio framework. We also offer a Learning Budget to expand your Product Management knowledge.

An overview of this role

As a Customer Success Engineer, you'll help customers get real, measurable value from GitLab after the sale by providing technical product expertise and best practice guidance. You'll be part of the customer success engineer team that delivers GitLab's On-Demand Success Tier through webinars, hands-on labs, office hours, and on-demand engagements.

This is a pooled model, so you won't be dedicated to a specific set of accounts. You'll collaborate closely with Customer Success Managers, Account Executives, and Renewals Managers to support implementation, architecture, and use case adoption across GitLab's key workflows, including source code management, continuous integration and delivery, DevSecOps, and Agile Planning. You'll report to the Customer Success Engineer Team Manager, and your first-year outcomes will focus on building trusted advisor relationships, enabling successful customer implementations, and creating reusable workshops and technical content that helps customers adopt GitLab at scale.

What you'll do

• Engage with customers via Zoom calls and email as a technical consultant during the post-sales journey, providing product, solution, and best-practice guidance.
• Partner with Customer Success Managers to go deep on GitLab use case implementation (for example: source code management, continuous integration, continuous delivery, DevSecOps, and Agile Planning).
• Deliver practical, customer-specific enablement through webinars, hands-on labs, office hours, and on-demand engagements in a pooled support model (not dedicated to a single account)
• Provide technical and architectural guidance that helps customers adopt GitLab capabilities and connect technical decisions to the outcomes they care about.
• Align with Account Executives and Renewals Managers to share customer-facing subject matter expertise that supports customer business objectives
• Develop and deliver workshops, demos, and other reusable enablement content in collaboration with cross-functional partners.
• Build and maintain specialty competency in one or more technologies aligned to GitLab's market focus through training, certification, and creating working examples for internal and customer use.
• Contribute to customer-facing learning resources, including GitLab documentation, YouTube content, and enablement programs such as the Digital Journey.

What you'll bring

• Experience supporting one or more GitLab use cases (source code management, continuous integration, continuous delivery, DevSecOps, or Agile Planning) and enabling customers with practical, in-depth guidance.
• Proficiency with DevSecOps tools or adjacent highly technical tooling, with the ability to translate tool capabilities into customer outcomes.
• Technical background in software development or systems engineering, including comfort discussing architecture, workflows, and implementation tradeoffs.
• Ability to communicate complex technical and organizational topics clearly in writing and live settings (Zoom calls, workshops, and presentations).
• Experience operating as a trusted technical advisor to customer and business stakeholders in a post-sales environment.
• Strong time management and prioritization skills, including the ability to juggle multiple customer engagements and cross-functional requests in a pooled model.
• Continuous learning mindset, including maintaining specialty competency through training, certification, documentation, or creation of reusable examples; we welcome transferable experience from related roles and backgrounds.

About the team

We're a globally distributed customer success engineer (CSE) team supporting customers in GitLab's On-Demand Success Tier. We collaborate asynchronously and stay aligned through clear documentation and shared enablement assets. We continuously improve our content and delivery based on what we learn from customer engagements.

An overview of this role

As a Staff Forward Deployed Engineer at GitLab, you will work at the intersection of customer outcomes, product direction, and hands-on engineering. This role is focused on strategic accounts, where you will help customers adopt GitLab and the GitLab Duo Agent Platform in complex enterprise environments, including self-managed, regulated, and constrained deployments. You will guide deep technical discovery, design practical adoption paths, and build reusable solutions that help customers move from early platform use into broader CI/CD, security, compliance, and AI-enabled workflows.

This is not a traditional consulting role centered on one-off delivery. Instead, you will use customer issues to create durable technical assets, shape architecture patterns, and influence upstream product and engineering decisions when field needs point to a broader solution. Your work will help reduce time to value for strategic customers while improving how GitLab scales adoption across similar environments.

Some examples of our projects:

• Building a regulated-environment deployment accelerator for GitLab Duo Agent Platform in self-managed or constrained environments
• Authoring reusable reference architectures for AI Gateway, identity, runners, network boundaries, model connectivity, and governance controls
• Identifying a geo-replication gap in a self-managed deployment, tracing it to a root cause in Gitaly or the git backend, and contributing a targeted code or design change upstream

What you'll do

Conduct deep technical discovery in selected strategic accounts to assess platform readiness, evaluate constraints, and identify high-value adoption opportunities across GitLab and GitLab Duo Agent Platform. Lead architecture and delivery design for complex enterprise environments where platform migration, regulated requirements, and product boundaries intersect. Partner with customer stakeholders and GitLab account teams to prioritize use cases based on business impact, technical feasibility, repeatability, and long-term platform value. Design and build bounded proofs, prototypes, deployment patterns, and reusable accelerators across source code management, CI/CD, security, compliance, and AI-enabled workflows. Architect self-managed and enterprise deployments, including runners, access controls, network boundaries, observability, AI Gateway, model connectivity, and governance controls. Turn recurring field patterns into reusable assets such as runbooks, templates, design notes, technical guidance, product briefs, and reference architectures that can be used across accounts. Contribute code, technical designs, or architecture changes when strategically necessary, in partnership with product and engineering, to address blockers that should be solved upstream. Travel as needed for strategic customer engagements, architecture workshops, and team coordination, with expected travel up to 50%.

What you'll bring

Experience in software engineering, platform architecture, forward deployed engineering, technical consulting, or similar customer-facing engineering roles. Strong software engineering fundamentals, including the ability to read, reason about, and contribute to production systems, ideally with experience in Ruby on Rails and/or Go. Strong systems design and software architecture skills, with experience evaluating APIs, asynchronous workflows, CI/CD systems, security boundaries, scalability, and operational tradeoffs. Hands-on experience with GitLab CI/CD, pipeline design, YAML, runners, and GitLab APIs. Experience with infrastructure as code and enterprise deployment tooling such as Terraform, Ansible, Helm, or similar approaches. Working knowledge of large language models, agentic patterns, tool orchestration, and the practical limits of AI systems in production environments. A track record of creating reusable technical assets that outlive a single engagement, along with strong written and verbal communication skills for technical design and architecture guidance. Comfort leading conversations with senior stakeholders across security, compliance, engineering, platform, and business teams, especially in ambiguous enterprise environments.

About the team

The Staff Forward Deployed Engineer works closely with teams across Customer Success, Solutions Architecture, product, and engineering to solve hard adoption problems in enterprise customer environments. We focus on high-leverage technical work for strategic customers, especially when standard approaches do not fully fit the environment or the adoption challenge.

We are especially valuable in situations where self-managed deployment models, security and compliance requirements, migration complexity, or AI platform adoption create barriers that standard approaches do not fully address. Success on our team comes from strong technical judgment, a bias for reuse, and the ability to balance immediate customer needs with long-term platform impact.

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.

Job Description

At FlowFuse, the Technical Product Manager (TPM) bridges product strategy and technical execution. They turn complex technical challenges into measurable product outcomes, ensuring engineering delivers solutions that meet customer needs and quality standards.

This role blends technical depth and product acumen. The TPM dives into architecture, weighs trade-offs, and uses data to guide decisions on debt, scalability, and performance.

The Technical Product Manager reports to the Director of Product and is primarily responsible for:

• Bridging strategy and execution: Translate product strategy into clear, measurable technical outcomes and objectives.
• Defining requirements: Partner with engineering to balance user needs, feasibility, and business impact.
• Delivering outcomes: Set success metrics/KPIs, measure progress, and connect decisions to results.

Core Tasks and Responsibilities:

• Own metrics: Define, track, and report adoption, performance, reliability, and business impact.
• Plan sprints and releases: Align roadmap, priorities, debt, and infrastructure with product strategy.
• Shape specs/architecture: Co-create technical specs and provide architectural input.
• Translate across teams: Bridge product, engineering, sales, and customer success.
• Prioritize with data: Use usage data, customer feedback, and capacity signals.
• Assess feasibility: Evaluate complexity, approaches, and technical risk.
• Advocate quality: Set and monitor quality, performance, and reliability targets.

What is the Technical Product Manager not responsible for?

• Writing production code or implementing features directly.
• Managing engineers or individual performance.
• Final technical architecture decisions (owned by CTO/engineering leadership).

90-Day Plan

We believe setting clear expectations enables new teammates to thrive. Here's what success looks like in your first 90 days at FlowFuse:

Days 0–30: Learn, Map, Build Trust

Theme: Context before control

Primary Objective: Build deep understanding of product, users, architecture, and team dynamics.

Product + Customer Immersion

• Review positioning and roadmap
• Understand core personas
• Join customer calls or review recordings

Technical Architecture Familiarity

• Walk through platform components
• Identify leverage vs fragility

Team Integration + Operating Rhythm

• Build relationships via 1:1s
• Observe planning, refinement, release

Backlog Current State Review

• Audit backlog structure and hygiene
• Identify quick wins

Success Signals by Day 30:

• Trusted relationships with engineering leads
• Clear product/customer value understanding
• Backlog structure understood

Deliverables:

• ✅ FlowFuse User + Value Map
• ✅ Architecture mental model + glossary
• ✅ "How FlowFuse Ships" overview
• ✅ Backlog health assessment

Days 31–60: Align, Clarify Priorities, Start Driving

Theme: From understanding → influence

Primary Objective: Shape execution via alignment, backlog clarity, and problem definition.

Define "What's Important Now" (WIN)

Partner with leadership and engineering to set top quarterly priorities in your swimlanes.

Establish Execution Cadence

• Weekly backlog refinement
• Sprint goal alignment and dependency surfacing

Improve Discovery → Delivery Flow

• Problem framing before solutioning
• Clear acceptance criteria and feedback loops

Lead Backlog Refinement

• Break initiatives into deliverable slices
• Ensure tickets are actionable

Success Signals by Day 60:

• TPM drives clarity, not just observing
• Engineering trusts prioritization inputs
• Backlog is execution-ready

Deliverables:

• ✅ WIN priorities + narrative
• ✅ Shared working agreement + operating rhythm
• ✅ Updated Epic/PRD template
• ✅ Engineering-ready epic(s) owned end-to-end

Days 61–90: Execute, Own Backlog, Drive Delivery

Theme: Shared ownership and momentum

Primary Objective: Own execution: prioritize, manage backlog, and ship with engineering.

Backlog Ownership with Engineering Leads

Co-own priority ordering, sprint readiness, and tradeoff decisions.

Roadmap Execution Visibility

• Sprint goal tracking
• Outcome-based roadmap updates

Ship Meaningful Customer Value

Drive at least one major platform or customer-facing improvement to release.

Institutionalize Collaboration

Solidify operating model and learning loops.

Success Signals by Day 90:

• TPM + engineering leads run backlog prioritization
• Sprint planning is outcome-driven
• Execution cadence is faster and clearer

Deliverables:

• ✅ Backlog actively managed weekly
• ✅ Now / Next / Later execution view
• ✅ Release + feedback capture
• ✅ FlowFuse Product Delivery Playbook v1

Goal: By day 90, the TPM has moved from learning → alignment → execution → shared backlog ownership, with clarity on WIN priorities and active backlog management.

Skills

• Technical depth: Understand architecture, APIs, databases, and SDLC; low-code/Node-RED is a plus.
• Outcome orientation: Define KPIs and use data to drive decisions and impact.
• Product/engineering fluency: Comfortable with user stories and technical implementation.
• Strategic to tactical: Convert strategy into deliverables and milestones.
• Analytical: Use qualitative and quantitative inputs for prioritization.
• Technical communication: Translate across technical and non-technical audiences.
• Collaborative problem solving: Partner with engineering to find pragmatic solutions.
• Trade-off judgment: Balance debt, features, performance, scalability, and business priorities.

Hiring Plan

1. Resume screening by hiring manager.
2. 20‑minute screening call with recruiter.
3. Director of Product interview (45m): product, technical fit, outcomes, communication.
4. CTO interview (45m): technical depth, collaboration, trade-offs.
5. Engineering Manager interview (30m): technical collaboration and requirements clarity.
6. Technical case study presentation with metrics and lessons learned.
7. Final interview (optional) with VP of Sales or stakeholder.
8. Offer.

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.

About Us

Mighty Networks helps people and brands build communities, online courses, memberships, challenges, and events. Through its advanced technology, called people magic, Mighty helps the members of those networks build relationships with each other by surfacing the most relevant and interesting connections. 

Because of this novel approach and member-centered experience, Mighty has produced the most $1M communities and helped its Hosts earn over $500M.

The Role

As a Community Strategist, you’ll work with our premium Mighty Pro customers to help them create deeply engaging community experiences that lead to powerful outcomes.

You will lead workshops, co-create launch strategies, and shape the early member experience for some of the world’s boldest and most influential Hosts. This role is perfect for someone who thrives in both structured systems and creative problem-solving, and is excited to model excellence, mentor peers, and scale success through repeatable frameworks.

What You'll Do

• Serve as a strategic partner to new Mighty Pro Hosts during their onboarding phase as they set up their Network in the way that leads to maximum member adoption, engagement, and retention. 
• Facilitate impactful workshops with Hosts and their teams that establish strong foundations in community design, content cadence, and engagement strategy.
• Deliver targeted training on feature utilization, member onboarding flows, and tactical programming to drive adoption, activation, and retention.
• Provide creative input and feedback on brand elements like landing pages, welcome experiences, email sequences, and network messaging to ensure a cohesive and compelling member journey.
• Own the development and delivery of strategic Community Design Plans—including network architecture, monthly themes, onboarding flows, and launch programming calendars.
• Collaborate closely with Launch Specialists and Implementation teams, providing timely information and handling lightweight setup tasks directly where appropriate.
• Ensure clarity, consistency, and excellence in the execution of space configuration, access structure, and end-to-end member experience.
• Maintain regular updates to internal stakeholders on Host performance, needs, risks, and outcomes—contributing to visibility and cross-functional alignment.
• Contribute to shared knowledge across the Customer Success team by capturing and scaling best practices, identifying emerging trends, and improving playbooks.

What We're Looking For

• 6+ years of client-facing experience, ideally working with strategic accounts or supporting 5–6 figure engagements in a SaaS, media, or creator-focused business. 
• 2+ years experience in a consulting, business coaching, or agency role. 
• Strategic thinker and tactical executor—you can map out long-term plans, define metrics for success, and follow through on details to deliver.
• Deep understanding of community-building and digital member experiences; you’re passionate about helping others create belonging at scale.
• Excellent communicator and facilitator, with confidence in guiding executive teams through planning, decision-making, and feedback cycles.
• Master of meetings—you show up with a plan, gather input with nuance, read the room, and close with clear decisions and next steps.
• Adaptable and proactive, energized by growth and ambiguity, and always seeking ways to streamline and improve.
• Highly collaborative and cross-functional, thriving when working across CS, Implementation, Product, and Strategy to elevate outcomes.
• Radically curious, with a growth mindset and drive to keep learning about Hosts, their businesses, and how digital communities are evolving.

What We Offer

• A dynamic, remote-first work culture that values creativity, autonomy, and bold thinking.
• Comprehensive benefits, including health, vision, dental, and generous paid time off.
• Clear opportunities for professional growth, including leadership pathways and skill development support.
• The chance to shape the future of how communities, creators, and brands thrive online—with the team that’s building what’s next.

Join us in shaping the future of community-driven digital businesses with Mighty Pro!

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.

Job Description & Responsibilities

The Senior Lead Engineer Business Intelligence at OneSix works collaboratively to design and develop data-driven solutions that empower clients with actionable insights. This role is mission-critical, leading project teams, shaping project scopes, and working directly with clients to refine and implement BI strategies. While not a direct people manager, the Senior Lead Engineer serves as a technical team lead, providing mentorship, guidance, and strategic direction to team members to ensure successful project delivery. They are responsible for architecting scalable data solutions, optimizing analytics workflows, and leveraging best-in-class BI tools to solve our clients' most pressing challenges.

• Define and drive the BI strategy, ensuring alignment with business objectives.
• Lead and mentor a team of BI engineers, fostering a culture of innovation and continuous improvement.
• Collaborate with executives and key stakeholders to understand business needs and translate them into BI solutions.
• Design, implement, and optimize scalable data models and architectures for reporting and analytics.
• Oversee the development and maintenance of ETL pipelines, ensuring data integrity and performance.
• Manage cloud-based data platforms (AWS, Azure, GCP) and data warehousing solutions (Snowflake)
• Lead the development of enterprise-level dashboards, reports, and self-service BI tools.
• Implement and optimize BI solutions using Power BI, Tableau, Looker, or similar tools.
• Integrate advanced analytics, predictive modeling, and AI-driven insights into BI platforms.
• Establish and enforce BI best practices, including data governance, security, and documentation.
• Monitor and improve query performance, data processing efficiency, and system scalability.
• Ensure compliance with data privacy and security regulations.
• Work cross-functionally with data engineers, analysts, and business teams to align data strategies.
• Act as a key advisor on data-driven initiatives, influencing decision-making at the leadership level.
• Facilitate training and enablement programs to enhance BI adoption across the organization.

Experience, Qualification,  & Skills

• Bachelor's or Master’s degree in Computer Science, Information Systems, Data Analytics, or a related field.
• 6+ years of experience in business intelligence, data engineering, or a similar role.
• Expert-level proficiency in SQL, data modeling, and ETL development.
• Extensive experience with BI tools such as Power BI, Tableau, or Looker.
• Deep understanding of cloud data platforms (AWS, Azure) and data warehousing solutions.
• Strong programming skills in Python, R, or other scripting languages for data automation.
• Proven ability to lead teams and manage large-scale BI initiatives.
• Excellent problem-solving, strategic thinking, and stakeholder communication skills.
• Experience with machine learning, AI-driven analytics, or predictive modeling.
• Familiarity with data pipeline orchestration tools (Airflow, dbt, or similar).
• Knowledge of version control (Git) and CI/CD for data workflows.
• Background in Agile methodologies and project management.

Leadership & Soft Skills:

• Strong mentorship abilities and a passion for helping others grow.
• Ability to influence technical strategy without direct managerial authority.
• Effective communication skills to present complex ML concepts to diverse audiences.
• Problem-solving mindset and ability to work cross-functionally with different teams.

Compensation / Benefits

• Competitive compensation
• Company-paid medical, vision, dental, and wellness benefits for employees 
• Company-provided home office equipment
• Flexible vacation and sick days
• Team-oriented and supportive working environment   
• Company-sponsored events and swag

This position offers a base salary in the range of $140,000–$160,000 USD annually, depending on experience and location. Compensation may vary based on factors including geographic location, level of experience, skills, and performance. This salary range reflects base pay only and does not include any additional compensation such as bonuses, equity, or benefits.

OneSix provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, familial status, or any other characteristic protected by federal, state, or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.