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.

Your role
As a Sr. SDET in Agentic QA, you will own the test automation and quality frameworks that support Dialpad’s AI Voice Agent services. You will develop automated tests for end-to-end product experiences, from frontend UI to backend services to APIs to audio/text interactions. You will test orchestration flows, agent configuration experiences, and guardian safeguards to create robust automated coverage for functionality, performance, reliability, UX, and more. 

In this role, you will develop substantial amounts of automated test infrastructure and partner deeply with the development team to make our fast-growing AI platform more testable, more stable, and more delightful for customers.

This position is based at one of Dialpad’s Canadian offices and reports to a QA Eng Manager in the United States.

What you’ll do

• Own end-to-end quality for agentic features and workflows, including strategy, development, execution, and release qualification.
• Design and build automation tooling and frameworks for AI/LLM-driven systems, including prompt flows, agent orchestration, and tool integrations.
• Develop and maintain evaluation frameworks (evals) to measure response quality, accuracy, and hallucination rates.
• Drive automation coverage (80%+ for critical AI workflows) using deterministic + probabilistic validation approaches.
• Integrate AI quality checks into CI/CD pipelines with fast feedback cycles (<15 minutes for PR validation).
• Build tooling for LLM observability and debugging, including prompt tracing and response analysis.
• Partner with Applied AI teams on prompt engineering, model selection, and evaluation strategies.
• Design and execute performance and load tests for AI services (latency, throughput, cost efficiency).
• Identify and mitigate risks related to hallucinations, bias, safety, and edge cases.
• Define and track AI quality KPIs (task success rates, precision/recall, latency, etc.).
• Participate in design and architecture reviews to ensure systems are testable, observable, and resilient.
• Mentor engineers and contribute to raising the bar on AI quality engineering practices.

What you’ll bring

• 5+ years of experience in software engineering or SDET roles with an emphasis on software development.
• Strong programming skills in Python (preferred), Java, or JavaScript.
• Experience testing distributed, cloud-native SaaS systems and APIs.
• Demonstrated proficiency in coding with AI agents to accelerate development and improve code quality.
• Hands-on exposure to LLMs or AI/ML systems (e.g., OpenAI, Claude, Gemini, or similar platforms).
• Understanding of non-deterministic systems and probabilistic testing approaches.
• Experience building test frameworks and scalable automation systems.
• Familiarity with AI evaluation techniques (benchmarking, golden datasets, human-in-the-loop validation).
• Experience with CI/CD pipelines (e.g., Jenkins, GitHub Actions).
• Strong collaboration skills with the ability to work across distributed teams and time zones.
• Bachelor’s degree in Computer Science or equivalent practical experience.
• Backend: Python, Go, Google Cloud Platform, Cloud Run / App Engine, Kubernetes, Datastore, Redis, ElasticSearch.
• Frontend: Vue3, React.
• AI Stack: LLM APIs, LiveKit, prompt orchestration frameworks, evaluation tooling.

Your role
As a Sr. SDET in Agentic QA, you will own the test automation and quality frameworks that support Dialpad’s AI Voice Agent services. You will develop automated tests for end-to-end product experiences, from frontend UI to backend services to APIs to audio/text interactions. You will test orchestration flows, agent configuration experiences, and guardian safeguards to create robust automated coverage for functionality, performance, reliability, UX, and more. 

In this role, you will develop substantial amounts of automated test infrastructure and partner deeply with the development team to make our fast-growing AI platform more testable, more stable, and more delightful for customers.

This position is based at one of Dialpad’s Canadian offices and reports to a QA Eng Manager in the United States.

What you’ll do

• Own end-to-end quality for agentic features and workflows, including strategy, development, execution, and release qualification.
• Design and build automation tooling and frameworks for AI/LLM-driven systems, including prompt flows, agent orchestration, and tool integrations.
• Develop and maintain evaluation frameworks (evals) to measure response quality, accuracy, and hallucination rates.
• Drive automation coverage (80%+ for critical AI workflows) using deterministic + probabilistic validation approaches.
• Integrate AI quality checks into CI/CD pipelines with fast feedback cycles (<15 minutes for PR validation).
• Build tooling for LLM observability and debugging, including prompt tracing and response analysis.
• Partner with Applied AI teams on prompt engineering, model selection, and evaluation strategies.
• Design and execute performance and load tests for AI services (latency, throughput, cost efficiency).
• Identify and mitigate risks related to hallucinations, bias, safety, and edge cases.
• Define and track AI quality KPIs (task success rates, precision/recall, latency, etc.).
• Participate in design and architecture reviews to ensure systems are testable, observable, and resilient.
• Mentor engineers and contribute to raising the bar on AI quality engineering practices.

What you’ll bring

• 5+ years of experience in software engineering or SDET roles with an emphasis on software development.
• Strong programming skills in Python (preferred), Java, or JavaScript.
• Experience testing distributed, cloud-native SaaS systems and APIs.
• Demonstrated proficiency in coding with AI agents to accelerate development and improve code quality.
• Hands-on exposure to LLMs or AI/ML systems (e.g., OpenAI, Claude, Gemini, or similar platforms).
• Understanding of non-deterministic systems and probabilistic testing approaches.
• Experience building test frameworks and scalable automation systems.
• Familiarity with AI evaluation techniques (benchmarking, golden datasets, human-in-the-loop validation).
• Experience with CI/CD pipelines (e.g., Jenkins, GitHub Actions).
• Strong collaboration skills with the ability to work across distributed teams and time zones.
• Bachelor’s degree in Computer Science or equivalent practical experience.
• Backend: Python, Go, Google Cloud Platform, Cloud Run / App Engine, Kubernetes, Datastore, Redis, ElasticSearch.
• Frontend: Vue3, React.
• AI Stack: LLM APIs, LiveKit, prompt orchestration frameworks, evaluation tooling.

ZoomInfo is where careers accelerate. We move fast, think boldly, and empower you to do the best work of your life. You'll be surrounded by teammates who care deeply, challenge each other, and celebrate wins. With tools that amplify your impact and a culture that backs your ambition, you won't just contribute. You'll make things happen—fast.

The Opportunity

ZoomInfo has rebuilt around AI. We have the orchestration infrastructure, the tools platform, the intelligence layer. Now we need someone to turn that infrastructure into outcomes—someone who lives at the intersection of what's technically possible and what GTM teams actually need.

This role owns the agentic ecosystem: the core agents that power ZoomInfo's products, the Plays library that packages intelligence into deployable workflows, and the marketplace where customers discover, customize, and deploy automation. You'll build agents that book meetings, enrich pipelines, resurrect dead leads, and orchestrate multi-step GTM motions. Then you'll package them into Plays that non-technical users can deploy in clicks, not code.

You're not managing from the sidelines. You're building. You'll work in our Plays builder the way a RevOps leader works in their automation tools—hands-on, iterative, constantly shipping. You'll prototype agents, refine prompts, test orchestration patterns, and validate that what we build actually moves pipeline. When you identify a gap in what our agents can do, you'll partner with the tools and infrastructure teams to close it.

The marketplace you own is how ZoomInfo's agentic capabilities reach the world. Internal teams deploy your Plays across Copilot, GTM Studio, and MarketingOS. Customers browse, customize, and activate automation from your library. Partners and developers connect through MCP gateways you define. Every surface where ZoomInfo's agentic intelligence becomes accessible—you own it.

This is a rare role: part builder, part GTM strategist, part platform owner. You need to understand how SDR teams actually prospect, how marketing ops builds nurture flows, how CS teams identify expansion signals. Then you need to translate that understanding into agents and Plays that work reliably at scale. The infrastructure exists. The data exists. We need someone to turn it into the workflows that transform how GTM teams operate.

What You'll Do

Build Core Agents & Plays Design, build, and iterate on the agents and Plays that ship inside ZoomInfo's products. You'll work at multiple levels of abstraction: building agents from primitives when novel capabilities require it, composing existing agents into complex orchestrations, and packaging everything into Plays that non-technical users can deploy. This isn't spec-writing—you'll build in our Plays environment daily, testing what works and shipping what delivers.

Own the Plays Library Curate and expand ZoomInfo's library of pre-built GTM workflows. Identify high-value use cases through customer research, competitive analysis, and GTM intuition. Prioritize which Plays to build, define their logic and orchestration, validate they deliver measurable outcomes, and iterate based on adoption and performance data. The library is the product—its breadth, quality, and relevance determine whether customers see ZoomInfo as a data vendor or an automation platform.

Define the Marketplace Experience Own the customer-facing marketplace where users discover, evaluate, and deploy agentic workflows. Define the information architecture, discovery mechanisms, and activation flows that help users find the right Play for their use case. Balance curation with abundance—enough options to address diverse needs, enough guidance to prevent paralysis. Measure success through activation rates, time-to-value, and Play retention.

Translate GTM Expertise into Agentic Design The best agents encode deep understanding of the workflows they automate. Bring GTM operational expertise to agent design: How do top SDRs actually research accounts? What signals trigger effective outreach timing? How do marketing ops teams think about lead routing? Translate this knowledge into agent behaviors, Play logic, and orchestration patterns that feel like they were built by someone who's lived in RevOps.

Close the Loop with Platform Teams You're the voice of "what agents need to do" speaking to the teams building "what agents can do." When you discover that a critical GTM workflow requires a capability that doesn't exist, partner with the tools and infrastructure teams to prioritize it. When platform improvements unlock new possibilities, translate them into Plays that demonstrate value. You're the bridge between infrastructure leverage and customer outcomes.

What You'll Bring

• 6-15 years product management experience with 2+ years focused on GTM technology, workflow automation, or AI-powered products
• Direct experience building agentic workflows—you've shipped automation using tools like Relevance.ai, Lindy.ai, n8n, or similar no-code/low-code agent builders
• Hands-on familiarity with AI-assisted development (Claude Code, Cursor, or similar)—you prototype and build, not just specify
• Deep understanding of GTM operations: how sales, marketing, and success teams actually work, the tools they use, the metrics they track, the workflows they build
• Experience with complex workflow orchestration—multi-step, multi-system automation with branching logic, error handling, and human-in-the-loop patterns
• Track record shipping products where you personally built significant portions of the experience, not just managed engineers building it

Who You Are

Builder First You don't just write requirements—you build. You're comfortable in no-code workflow builders, and you reach for Claude Code or Cursor when you need to go deeper. You prototype to learn, ship to validate, and iterate based on what you discover. Your PRDs include artifacts you've built, not just wireframes someone else will implement.

GTM Operations Native You've lived in the world your users inhabit. You've built sequences in Outreach or Salesloft. You've configured lead routing in Salesforce or HubSpot. You've debugged why a Marketo program isn't firing. You understand the gap between how GTM workflows should work and how they actually work—the edge cases, the data quality issues, the human workarounds. This knowledge shapes every agent you design.

Agentic Workflow Intuition You understand what makes agents succeed or fail. You know how to write tool descriptions that guide reliable invocation. You've debugged orchestration flows where agents took unexpected paths. You think about failure modes, human oversight, and graceful degradation. You can look at a complex workflow and identify where it will break—then design around it.

Marketplace Product Sense You've thought about discovery, curation, and activation at scale. You understand that a library of 500 Plays is worthless if users can't find the right one. You think about information architecture, progressive disclosure, and the journey from "browsing" to "deployed and delivering value." You balance flexibility with guidance.

Customer Empathy with Technical Depth You can sit with a VP of Sales and understand their pipeline challenges, then translate that into agent specifications an ML engineer can build. You move fluidly between "we need to accelerate deal velocity" and "the agent needs to invoke the CRM lookup tool before the enrichment tool to avoid redundant API calls." You don't choose between business context and technical precision—you hold both.

Intellectual Curiosity The agentic landscape evolves weekly. You follow what's shipping—new agent frameworks, orchestration patterns, MCP developments, prompt engineering techniques. You try new tools not because it's your job but because you're genuinely curious about what's possible. You bring external learnings back to the team and challenge assumptions when better approaches emerge.

#LI-VC1

#LI-Hybrid

The Team:

Our Business Applications and Analytics team plays a pivotal role in driving business success through data-driven decision-making and operational excellence. This dynamic team manages enterprise-wide applications, including ERP, CRM, and BI systems. By harnessing the power of data and advanced analytical tools, we provide valuable insights that inform strategic initiatives, optimize processes, and enhance overall performance.  

Position Overview:  

Diligent is ‘All-In’ on AI and is seeking a dynamic and strategic AI leader to join our team as an AI Solutions Architect. As part of the Business Applications and Analytics team, this crucial role is designed to accelerate our Internal AI capabilities across multiple business functions, including Marketing, GTM/Sales, Customer Success & Support, Finance, HR, Legal, and Product and Engineering teams. 

The primary goal of this position is to identify, prototype, deploy, and scale AI technologies and solutions that drive greater operational efficiency and effectiveness. The ideal candidate will be a technically adept individual with business acumen, able to bridge the gap between robust technical implementations and business needs, with the ability to partner with various business leaders to spot and act on opportunities for AI-driven transformation and innovation. 

Key Responsibilities:

• Partner with business leaders to understand challenges, identify AI opportunities, and implement effective AI/GenAI solutions.
• Lead the ideation, prototyping, deployment, and scaling of AI/GenAI technologies and agentic solutions tailored to business needs.
• Develop and communicate strategic frameworks and roadmaps for AI initiatives aligned with business goals.
• Champion best practices in AI/ML and GenAI development—including responsible AI, privacy, security, and ethical guidelines.
• Collaborate with cross-functional teams to integrate AI tools within core business processes, ensuring seamless, high-value adoption.
• Stay abreast of AI best practices, tools, and methodologies and introduce them to the organization.
• Drive AI and Data literacy across the company through training, workshops, and continuous education initiatives.
• Ensure compliance with data protection and privacy regulations in all AI implementations.
• Monitor and evaluate the performance and effectiveness of AI solutions and continually refine them.
• Collaborate with stakeholders to define and achieve key performance indicators (KPIs) and return on investment (ROI) for AI projects.
• Advocate and implement AI ethical guidelines and best practices.

Required Qualifications:

• Solid Foundations: Bachelor’s degree in Computer Science, AI/ML, Data Science, or a related technical field.
• Practical Tinkerer: 5+ years in a technical role (software, data, DevOps, etc.), with hands on experience building end-to-end prototypes using GenAI tools (GPTs, Hugging Face, open-source LLMs, LangChain, Scikit-learn, etc.).
• Curious Explorer: Demonstrates a hands-on approach to learning in prompt-engineering, fine-tuning, RAG pipelines, or API Integrations, with a commitment to rapid failure, iteration, and sharing findings.
• Data Wrangler: Possesses the ability to source, clean, and transform raw data, including spreadsheets, logs, APIs, or CRM exports, into structured inputs for AI experiments and prototypes.
• Code Crafter: Capable of writing scripts or small applications to connect models, cloud services, or data sources. Prior experience with TensorFlow, PyTorch, Azure, AWS, or GCP is beneficial, but willingness to learn is equally important.
• Business Translator: Experienced as a technical sales engineer or solutions consultant, capable of turning AI experiments into compelling stories and metrics that resonate with non-technical stakeholders.
• Responsible AI Mindset: Demonstrated experience in addressing privacy, security, bias, and ethics in professional work, with a strong familiarity with industry-specific data privacy, AI ethics, and compliance requirements.
• Team Player: Essential qualities include clear communication and a growth mindset, as you will collaborate with marketers, sales professionals, engineers and leaders.

Preferred Qualifications:

• Demonstrates strong knowledge of AI use cases, including NLP, computer vision, data analytics, predictive modelling, and translating technical capabilities into business value, along with proficiency in large language models (LLMs), prompt engineering, RAG architectures, MLOps, LLMOps, and GenAI application deployment.
• Advanced programming and data engineering skills, with Python preferred, and experience in cloud-based AI solutions (AWS, GCP, Azure).
• Ability to architect and deploy enterprise-scale AI solutions, collaborating across sales, product, and implementation teams to ensure adoption and measurable ROI.
• Strategic thinker with strong analytical and problem-solving skills, capable of driving measurable business outcomes through AI/GenAI.

Sony Pictures Imageworks is located on the unceded traditional territory of the Musqueam, Squamish, and Tsleil-Waututh First Nations. We are committed to respecting traditional lands, and working with communities towards reconciliation. 

Sony Pictures Imageworks Canada Inc.
658 Homer Street., Suite 405, Vancouver, BC, V6B 2R4

Language in work environment - English

Benefits per company policy: include healthcare, tuition reimbursement, RRSP's, Sick and Vacation leave, standard increases as applicable

The Production Services Technician (PST) role is a vital cornerstone of the facility, responsible for securing, manipulating, and managing production data throughout all stages of the production life cycle. PSTs collaborate with multiple departments to refine workflows, establish procedure guidelines, and ensure operational efficiency. Their work is critical to the success of every show, directly impacting all departments. PSTs are vital to the filmmaking process and essential to maintaining the integrity and efficiency of the pipeline.

PSTs are not just responsible for managing tasks like cue management, backups, and data transfer, but also building, maintaining, and optimizing the tools and pipelines that drive these processes. By developing and modifying python tools and scripts throughout the course of a show, PSTs ensure that these tasks become seamless and efficient, even during high-pressure crunch times. The true value of a PST lies in their ability to automate and streamline workflows, making complex tasks effortless, preventing bottlenecks, and ensuring that production remains uninterrupted and efficient, no matter the scale.

With deep expertise in the facility's departments, pipeline, and workflows, PSTs gain invaluable exposure across production, positioning them as strong candidates for career advancement and diverse opportunities within the company. Many former PSTs have advanced into prominent positions, including production management, technical direction, software development, systems engineering, and artist roles. This position provides a unique opportunity to build a broad skill set, paving the way for long-term career growth. For more information about the PST program, please watch our recruiting video.

Key Responsibilities:

• Pipeline Optimization and Tool Development: Leverage software engineering to optimize critical tools and pipelines for tasks such as render farm management, media manipulation, reviews, client/vendor ingest, and deliveries, automating processes to ensure seamless workflows, eliminate bottlenecks, and maintain production efficiency, even during high-pressure crunch times.

• Data Management: Oversee all production-related data, ensuring integrity, accessibility, and compliance with facility standards, including managing backups, retrievals, show media final archiving, and both online and offline storage.

• Render and Process Monitoring: Monitor and prioritize rendering queues, troubleshoot issues, optimize use of render farm resources, and escalate any concerns to artists, production, systems or software teams to maintain smooth operations.

• Media Handling: Coding automation that optimizes efficiency and reduces bottlenecks while preparing media for artist use, 3rd party vendor i/o, daily & critical production reviews, and client review & delivery. Following established guidelines based on both internal and show-specific standards to maintain accurate data locations, file types, naming standards, resolution/colorspace specifications, audio/video codecs, and security allowances.

• Ingest/Deliveries: Ingest and deliver high-priority media from vendors and clients, ensuring it conforms to facility standards, is transferred between locations following security & firewall policies all while automating processes to enhance efficiency and streamline workflows.

• Technical Support and Communication: Serve as a key liaison between production, digital artists, and support teams, providing technical expertise that ensures seamless integration and smooth workflows, while effectively communicating with both technical and non-technical team members.

• Issue Management: Submit prompt and detailed information through support channels, clearly communicating issues and potential solutions to Color Scientists, Resources, Production, Systems, and Software teams, while monitoring critical servers & networks to minimize workflow disruptions and ensure swift resolution.

• Documentation and Testing: Test and document workflows, tools, and processes across I/O pipelines, command-line utilities, queuing plugins, directory and file structure management, proprietary software, and script-driven automation to ensure seamless and efficient production operations.

• Coverage Support: Providing support across all phases of a project often requires flexibility with shift schedules, including early morning or late afternoon starts, as well as evening & weekend overtime during critical phases of a show to ensure seamless production continuity.

Qualifications:

• Strong experience with Linux or UNIX operating systems

• High proficiency in coordinated software programming & troubleshooting (Bash, Python, GIT)

• Previous leadership or managerial experience, preferred

• Customer service experience with the ability to effectively manage client interactions and resolve issues

• Ability to triage multiple priorities in a fast-paced, high-pressure production environment

• Detail-oriented with a proactive approach to problem-solving

• Familiarity with various graphics applications, production tools, network infrastructure or file management systems is a plus 

NOTE: At many studios, roles like pipeline engineer, render wrangler, data wrangler, and I/O technician are typically separate positions, each specializing in a specific aspect of the production workflow. However, at Imageworks, these critical functions are handled by the Production Services Technicians (PSTs), making the role incredibly valuable and versatile. PSTs gain deep expertise across a broad range of workflows, directly impacting multiple stages of the facility pipeline. This unique structure not only enhances the PST's technical knowledge but also provides high visibility and influence across all aspects of production, from render management to data handling and media processing.

The anticipated base salary for this position is $24.04 to $33.05/hr. Benefits are per company policy: which include healthcare, tuition reimbursement, RRSP's, Sick and Vacation leave, standard increases as applicable. The actual base salary offered will depend on a variety of factors, including without limitation, the qualifications of the individual applicant for the position, years of relevant experience, level of education attained, certifications or other professional licenses held, and if applicable, the location of the position.

We value unique perspectives, and want diverse, unique talent to work with us.  We encourage candidates from all identities to apply.

*Sony Pictures Entertainment is an equal opportunity employer. We evaluate qualified applicants without regard to race, colour, religion, sex, national origin, disability, age, sexual orientation, gender identity, or other protected characteristics.