About the Team

Roku's Recommendations team powers nearly all Roku-controlled UI surfaces, presenting content, apps, and offers through personalized browse pages, carousels, rows, and destination experiences across 100+ surfaces. The system matches over 100M viewers to millions of entertainment entities daily, optimizing for user engagement, monetization, and long-term platform health.

About the Role

We are looking for a Senior Product Manager to own and drive critical product areas within Recommendations. In this role, you will be responsible for defining product strategy, leading experiments, and delivering measurable outcomes that drive viewer engagement KPIs and business model outcomes (for ad-supported, subscription, and TVOD/PVOD), through the ML/AI recommendations ecosystem.

This is a high-ownership, high-visibility role. You will operate across multiple surfaces and partner closely with engineering, UX, data science, content, business, and cross-functional PMs to shape how Roku's recommendations platform serves users and the business.

For California Only - The estimated annual salary for this position is between $195,000 - $303,000 annually. Compensation packages are based on factors unique to each candidate, including but not limited to skill set, certifications, and specific geographical location. This role is eligible for health insurance, equity awards, life insurance, disability benefits, parental leave, wellness benefits, and paid time off.

What You’ll Be Doing

• Define and own the product strategy and roadmap for your area within Platform Recommendations, with a focus on maximizing user engagement and business value across all monetization models
• Identify unique problem spaces across surfaces and develop strategic recommendations backed by data and analysis
• Drive material outcomes from strategic themes: Drive material outcomes from strategic themes through deep, independent analysis, quantified impact, coherent recommendations, and leadership-ready proposals
• Articulate customer and business problems clearly: Articulate customer and business problems clearly, evaluate options and trade-offs, and develop sequenced roadmaps that move the ball forward strategically
• Lead KPI definition and defense: propose clear primary decision metrics and supporting metrics for every initiative, especially in ambiguous domains where north-star KPIs are not easily defined
• Own experiment design end-to-end: define test contracts and hold the line on experimental rigor
• Drive experiments to decisions: ensure every test is tied to a concrete decision or roadmap change, and prevent KPI drift by proactively aligning stakeholders
• Move fast and demonstrate extreme ownership of outcomes: actively track, unblock, and push for value, and propose concrete options when faced with trade-offs
• Maintain 100% lockstep with partners: Maintain 100% lockstep with partners in ML Research and Engineering, Merchandising, and Analytics with detail orientation and ensure alignment on strategy, outcomes and requirements/timelines
• Communicate with clarity and conciseness: Communicate with clarity and conciseness, with high signal-to-noise in written documents, messaging, presentations and verbal discussions
• Proactively keep stakeholders informed: Proactively keep stakeholders informed of progress, risks, and blockers with specific impacts, options and recommended paths

We’re Excited If You Have

• 7+ years of product management experience, ideally in recommendations, personalization, search/discovery, or ML/AI-driven product areas
• Strong analytical rigor: comfort with experiment design, A/B testing, statistical significance, and metric frameworks. Ability to define, defend, and prevent drift on KPIs
• Proven ownership and bias to action: track record of driving complex, ambiguous initiatives end-to-end — from problem framing through strategy to shipped outcomes. You escalate early, propose alternatives, and don't let work stall
• Technical depth: experience working closely with ML engineers and data scientists on ranking, optimization, and signal-based systems. Ability to engage meaningfully in technical discussions about model performance, feature engineering, and system architecture
• Excellent cross-functional leadership: demonstrated ability to influence and drive alignment across engineering, data science, design, business, and content teams without direct authority
• Outcome-oriented experimentation mindset: experience designing and running experiments that drive real product and business decisions
• Clear, concise communicator: strong written and verbal skills; ability to present strategy, trade-offs, and recommendations to executive leadership
• Experience in streaming, media, entertainment, or large-scale content platforms
• Familiarity with recommendation systems, content ranking, collaborative filtering, or personalization at scale (100M+ users)
• Experience with GenAI/LLM applications in product discovery, content understanding, or signal generation
• Experience operating across multiple product surfaces (TV, mobile, web) with different user behaviors and constraints
• BS/MS in a quantitative field (engineering, CS, mathematics); MBA a plus

#LI-SSC

About the team

Join the Home Screen team — the engineers behind Roku's home screen and the experiences that greet every Roku user the moment they turn on their TV. Our work ships to hundreds of millions of devices worldwide.

We move fast and hold a high bar. Engineers on this team own features end-to-end — from the OS platform layer through BrightScript/SceneGraph UI to cloud integration — and collaborate closely with product, design, and cross-functional engineering partners to bring ambitious ideas to production at scale.

About the role

We are looking for a Senior Software Engineer to take deep ownership of the OS UI platform that powers the Roku home screen and Browse Surfaces. You will drive architecture and delivery across the OS client stack: SceneGraph component framework, performance and memory optimization, and the user-facing experiences built on top of it.

For California Only - The estimated annual base salary for this position is between $370,000 - $400,000 annually. Compensation packages are based on factors unique to each candidate, including but not limited to skill set, certifications, and specific geographical location. This role is eligible for health insurance, equity awards, life insurance, disability benefits, parental leave, wellness benefits, and paid time off.

What you'll be doing

• Architect and implement features across the Roku home screen & Browse Surfaces, through SceneGraph UI to cloud-backed content experiences
• Drive performance, memory efficiency, and reliability of the home screen on constrained embedded hardware
• Own features end-to-end: design, implementation, testing, and production rollout to hundreds of millions of devices
• Collaborate with UI/UX design, product management, and cloud engineering teams to define and deliver new user experiences, including AI-driven features
• Mentor engineers, establish technical standards, and evangelize best practices across the team
• Investigate and resolve complex platform issues affecting millions of users

We're excited if you have

• 7+ years of software engineering experience, with significant time in embedded or consumer electronics environments
• Deep proficiency in C++ and/or BrightScript/SceneGraph/TypeScript (or equivalent TV platform SDK experience)
• Proven track record in architecting and shipping features on constrained embedded platforms (memory, CPU, GPU)
• Strong understanding of multi-threaded development, concurrency, and real-time programming
• Experience building and shipping UI experiences on embedded or consumer electronics platforms
• Knowledge of Linux operating systems and system-level debugging
• Experience with API design and cross-team integration
• Familiarity with AI/ML and LLM technologies, with interest in applying them to content and UI experiences
• Strong communication skills — this role involves frequent collaboration across engineering, product, and design
• B.S. or M.S. in Computer Science or equivalent engineering experience

#LI-SG1

About the role

Roku pioneered streaming to the TV and continues to innovate and lead the industry. While we are well-positioned to help shape the future of television and streaming media around the world, continued success depends on experienced embedded software engineers like you joining the Roku OS Streaming Media team.

In this role, you will be part of the team that's responsible for Roku’s Media engine, implementing new features and designing algorithms that deliver flawless video playback to all our users. This includes optimizing network interactions between our players and CDN, implementing adaptive streaming stacks, integrating DRM systems, and developing tools to monitor performance.  

The features and performance improvements you implement directly impact millions of users every day. This is a great role for an experienced professional with innovative ideas for complex problems and the ability to translate them into ultra-reliable software. 

For California Only - The estimated annual salary for this position is between $197,900 - $270,000 annually. Compensation packages are based on factors unique to each candidate, including but not limited to skill set, certifications, and specific geographical location. This role is eligible for health insurance, equity awards, life insurance, disability benefits, parental leave, wellness benefits, and paid time off.

What you'll be doing

• Extend Roku's player feature set to support new business opportunities and the latest multimedia specifications
• Continuously improve playback on Roku devices, and deliver our users a world-class player experience under all operating conditions
• Work independently and in small groups to deliver new features and functionality on-time
• Demonstrate excellence in C++ & Python development and deliver high-performance, ultra-reliable software
• Demonstrate impeccable software design skills, make extensive changes to an existing C++ code base that are modular and easy to maintain
• Demonstrate the ability to dig deep to find solutions to tough problems affecting our users 

We're excited if you have

• 2 – 5 years of relevant software development experience
• Bachelor’s or master’s in computer science or equivalent engineering experience.
• Extensive programming experience with C++ and Python
• Proven track record of success with embedded system development projects and Linux operating systems.
• Deep understanding of multi-threaded development and concurrency management.
• Experience in API design and developing portable code.
• Been able to accurately estimate software tasks and work to schedule.
• Architected, implemented, and tested systems for performance & low resource consumption.
• A good understanding of open source development
• A familiarity with AI/ML and LLM technologies.
• Experience with other consumer electronics OS’es (e.g. Android, FreeRTOS)
• Knowledge of TCP/IP, TLS, HTTP, DRM technologies like PlayReady, Widevine and streaming protocols such as WebRTC, HLS, and/or DASH is important.
• Experience working with video (H.264, H.265, AV1) & audio (aac, ac3) codecs. 

#LI-SR2

We are seeking a highly motivated and experienced Senior FinOps Engineer to join our team. This role is central to managing, optimizing, and forecasting our technology spending across multiple platforms, including major cloud providers, monitoring tools (like Datadog), and emerging technologies such as Large Language Models (LLMs). The ideal candidate will possess a strong blend of financial acumen, cloud engineering expertise, and excellent communication skills to drive cost-conscious decision-making across the organization.

Responsibilities

Financial Management and Optimization

• Monitor, analyze, and report on technology spending across various cost centers, including cloud infrastructure (AWS, Azure, GCP, etc.), Datadog licensing, and usage of LLM APIs/services.
• Develop and maintain detailed monthly financial reports and dashboards for leadership, providing clear insights into spend trends, variances, and optimization opportunities.
• Collaborate with engineering and product teams to implement cost-saving initiatives, such as identifying underutilized resources, negotiating reserved instance commitments, and optimizing service architectures.
• Establish and track key FinOps metrics (e.g., unit cost, utilization rate, efficiency gains) and drive accountability for spending.
• Conduct monthly deep-dive analyses on significant cost drivers, making actionable recommendations for adjustment and optimization.

Tooling, Reporting, and Automation

• Administer and configure FinOps tools and platforms to ensure accurate cost allocation, showback/chargeback mechanisms, and real-time visibility into spending.
• Develop and maintain custom scripts and automation workflows to enforce spending policies and manage resource lifecycles (e.g., auto-shutdown of non-production environments).
• Standardize and streamline reporting processes, leveraging data visualization tools to present complex financial data simply and effectively.

Vendor and Contract Management

• Assist in the evaluation, negotiation, and renewal processes for technology contracts, including cloud enterprise agreements, Datadog licenses, and LLM service subscriptions.
• Work closely with procurement and legal teams to ensure contracts align with business needs and financial objectives, focusing on optimal pricing and usage tiers.
• Monitor vendor performance against contractual agreements and track realization of anticipated savings.

Governance and Education

• Establish and champion FinOps best practices and governance frameworks across engineering and finance teams.
• Develop and deliver training and documentation to educate teams on cost management tools, cloud pricing models, and optimization techniques.
• Act as a central point of contact for all cloud, Datadog, and LLM spending inquiries.

Qualifications

Required Skills and Experience

• 3+ years of experience in a FinOps, Cloud Financial Management, or similar role.
• Deep understanding of major public cloud billing and pricing models (AWS, Azure, or GCP).
• Proven ability to build and maintain comprehensive financial reports and dashboards for executive leadership.
• Experience administering or utilizing cost monitoring and observability tools, with specific knowledge of Datadog usage/licensing preferred.
• Proficiency in data analysis tools (e.g., SQL, Python, Excel) and data visualization platforms (e.g., Tableau, Power BI, Looker).
• Familiarity with contract negotiation principles and vendor management processes.
• Strong communication skills, with the ability to translate technical cost data into clear business terms.

Desired Qualifications

• FinOps Certified Practitioner (FOCP) or FinOps Certified Professional certification.
• Experience managing costs related to machine learning, AI, or LLM services (e.g., OpenAI, Anthropic, or cloud-native LLM services).
• Familiarity with Infrastructure as Code (IaC) tools (e.g., Terraform, CloudFormation) and their role in cost governance.
• Bachelor’s degree in Computer Science, Finance, Business, or a related quantitative field.

Successful candidates must be able to demonstrate U.S. citizenship, permanent residency, or status as a protected individual to satisfy ITAR, contractual, and/or regulatory requirements.

Please note that this job description is intended to provide a general overview of the position and does not include an exhaustive list of responsibilities and qualifications. 

At Archer we aim to attract, retain, and motivate talent that possess the skills and leadership necessary to grow our business. We drive a pay-for-performance culture and reward performance that supports the Company’s business strategy. For this position we are targeting a base pay between $133,400 - $200,000. Actual compensation offered will be determined by factors such as job-related knowledge, skills, and experience.

Archer is proud to be an Equal Opportunity employer committed to diversity and inclusivity in the workplace. All aspects of employment are decided on the basis of merit, qualifications, and business needs. We do not discriminate based upon race, color, religion, sex, sexual orientation, age, national origin, disability status, protected veteran status, gender identity or any other characteristic protected by federal, state or local laws.

Archer is committed to working with and providing reasonable accommodations to job applicants with physical or mental disabilities, and those with sincerely held religious beliefs. Applicants who may require reasonable accommodation for any part of the application or hiring process should provide their name and contact information to Archer’s People Team at people@archer.com. Reasonable accommodations will be determined on a case-by-case basis.

As a Senior DevOps Engineer, you will be a key contributor to our infrastructure strategy, focusing on automation, stability, and performance across both cloud and on-premise environments. You will drive best practices in CI/CD, configuration management, and monitoring, with a specific focus on optimizing the deployment and operation of large language models (LLMs) and related technologies.

Responsibilities

• Design, deploy, and manage highly available, scalable infrastructure using Kubernetes and Docker across public cloud (e.g., AWS, GCP, Azure) and on-premise data centers.
• Develop and maintain robust Configuration Management solutions (e.g., Ansible, Terraform) for consistent environment provisioning and management.
• Implement and manage CI/CD pipelines to facilitate rapid, reliable, and automated software releases.
• Administer and troubleshoot operating systems, encompassing both Linux and Windows environments.
• Implement and optimize observability practices using monitoring tools like Datadog for logging, tracing, and alerting.
• Spearhead the operational deployment, scaling, and maintenance of LLM infrastructure, leveraging tools like LiteLLM, OpenRouter, or similar LLM orchestration/gateway technologies.
• Automate repetitive tasks and system operations using scripting languages, primarily Bash and Python.
• Collaborate closely with development, MLOps, and security teams to ensure infrastructure supports product requirements and compliance standards.
• Participate in an on-call rotation to ensure service reliability and responsiveness to incidents.

Qualifications

Required Skills

• 5+ years of professional experience in a DevOps, SRE, or infrastructure engineering role.
• Deep expertise in containerization and orchestration, specifically Kubernetes (design, deployment, and troubleshooting) and Docker.
• Strong proficiency in managing infrastructure in both Cloud (e.g., AWS, GCP, Azure) and On-Premise environments.
• Expert-level administration skills in Linux and strong working knowledge of Windows Server environments.
• Proven experience with Infrastructure as Code (IaC) and Configuration Management tools (e.g., Terraform, Ansible).
• High proficiency in scripting and automation using Python and Bash.
• Extensive experience with monitoring and observability platforms, especially Datadog (or comparable tools like Prometheus/Grafana, New Relic).
• Hands-on experience deploying and managing technologies related to Large Language Models (LLMs), such as utilizing LiteLLM, OpenRouter, or setting up and managing LLM serving endpoints.

Nice-to-Have Skills

• Experience with specific Kubernetes distributions (e.g., K3s, Rancher, OpenShift).
• Familiarity with network configuration, firewalls, and security best practices for hybrid environments.
• Experience in MLOps workflows and related tools (e.g., MLflow, Kubeflow).
• Certifications such as CKA, CKAD, or relevant cloud provider certifications.

Please note that this job description is intended to provide a general overview of the position and does not include an exhaustive list of responsibilities and qualifications

At Archer we aim to attract, retain, and motivate talent that possess the skills and leadership necessary to grow our business. We drive a pay-for-performance culture and reward performance that supports the Company’s business strategy. For this position we are targeting a base pay between $133,400 - $200,000. Actual compensation offered will be determined by factors such as job-related knowledge, skills, and experience.

Archer is proud to be an Equal Opportunity employer committed to diversity and inclusivity in the workplace. All aspects of employment are decided on the basis of merit, qualifications, and business needs. We do not discriminate based upon race, color, religion, sex, sexual orientation, age, national origin, disability status, protected veteran status, gender identity or any other characteristic protected by federal, state or local laws. Successful candidates must be able to demonstrate U.S. citizenship, permanent residency, or status as a protected individual to satisfy ITAR, contractual, and/or regulatory requirements.

Archer is committed to working with and providing reasonable accommodations to job applicants with physical or mental disabilities, and those with sincerely held religious beliefs. Applicants who may require reasonable accommodation for any part of the application or hiring process should provide their name and contact information to Archer’s People Team at people@archer.com. Reasonable accommodations will be determined on a case-by-case basis.

Archer is committed to working with and providing reasonable accommodations to job applicants with physical or mental disabilities, and those with sincerely held religious beliefs. Applicants who may require reasonable accommodation for any part of the application or hiring process should provide their name and contact information to Archer’s People Team at people@archer.com. Reasonable accommodations will be determined on a case-by-case basis.

Role

We are looking for a Senior Product Manager, AI / Data Classification to join our Data Protection team. This is a hybrid role based in San Jose, CA (3 days onsite). While local candidates are preferred, we are open to remote candidates based on the West Coast for exceptional applicants. 

We’re looking for a Product Manager to lead data classification capabilities within a Data Security platform. You’ll own the end-to-end product strategy for discovering and classifying sensitive data across cloud, on-prem data stores and SaaS applications, turning classification outcomes into actionable risk reduction for security, privacy, and compliance teams.

What You’ll Do (Role Expectations)

• Partner closely with a focused engineering, data science/ML, design, sales, and customer success to deliver accurate, scalable classification, clear policy outcomes, and measurable customer value
• Own the classification taxonomy, labeling standards, and policy model (custom categories, confidence thresholds, inheritance, overrides, exceptions)
• Drive accuracy improvements by managing precision/recall targets, sampling strategies, tuning workflows, and customer feedback loops
• Set requirements for scanning at enterprise scale (billions of objects, large tables), optimizing cost, latency, and coverage
• Define how the platform combines pattern-based detectors, NLP/ML, and LLM-assisted classification for structured and unstructured data

Who You Are (Success Profile)

• You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. You adapt to what’s needed, navigating seamlessly between high-level strategy and hands-on execution.
• You are a problem-solver. You seek out challenges because you are energized by finding solutions, knowing that solving the hard problems delivers the biggest impact.
• You are a high-trust collaborator. You are ambitious for the team, not just yourself. You embrace our challenge culture by giving and receiving ongoing feedback—knowing that candor delivered with clarity and respect is the truest form of teamwork and the fastest way to earn trust.
• You are customer-obsessed. You build deep empathy for the customer—both internal and external—and anchor your decisions in solving their real-world problems. You champion their needs from start to finish, knowing their success is our success.
• You operate with urgency. You understand that in a high-growth environment, speed and quality are not mutually exclusive. You have a relentless focus on execution and a bias for action, delivering high-impact results quickly to win for the customer and the team.

What We’re Looking for (Minimum Qualifications)

• Product Management experience, with meaningful ownership of data security/privacy products. Product management experience can be substituted with data science experience
• Demonstrated experience shipping products that use AI/ML and/or LLMs in production, with a strong understanding of data classification approaches across structured and unstructured data
• Expertise in evaluation and quality measurement for classification systems and building/maintaining golden datasets
• Ability to design human-in-the-loop workflows for high-stakes labels, covering review/approval, exception handling, and audit trails
• Experience driving cost/performance tradeoffs for AI at scale, including token/compute budgeting, model selection, and managing latency for large corporations

What Will Make You Stand Out (Preferred Qualifications)

• Strong technical collaboration skills with ML engineering and data science
• Familiarity with embedding-based similarity and semantic retrieval for classification and deduping (vector DBs, ANN indexing, chunking strategies)
• Prior work in DSPM/DLP/CASB/insider risk where false negatives have high blast radius and you have designed processes to manage that risk

#LI-KM9 #LI-hybrid

Role 

We are looking for a seasoned Senior Tax Manager to join our Tax department. This role is based in our San Jose, CA headquarters (in office Tuesday-Thursday) or remotely across the US, reporting to the Senior Director, Tax. You will be responsible for leading Zscaler's North America income tax compliance process along with supporting the quarterly and annual global tax provision process. You will be heavily involved in shaping the tax department’s tax compliance policies and processes, while supporting the business needs of a fast-growing company. This is an individual contributor role with oversight responsibilities for local and remote team members.

What you’ll do (Role Expectations)

• Prepare and review the US and Canada income tax compliance including the U.S. federal, state and local income tax returns and estimated taxes
• Prepare and review the monthly and quarterly U.S. indirect tax compliance including sales tax, use tax, gross receipts tax and property tax
• Manage the R&D tax credit and SRED credit studies with the support of external service providers
• Assist with the Company’s ASC 740 income tax provision for interim and annual income tax provisions, as reported in the Company’s SEC Form 10-K/10-Q filings
• Build cross functional relationships with the broader finance organization

Who You Are (Success Profile)

• You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. You adapt to what’s needed, navigating seamlessly between high-level strategy and hands-on execution.
• You are a problem-solver. You seek out challenges because you are energized by finding solutions, knowing that solving the hard problems delivers the biggest impact.
• You thrive in ambiguity. You're comfortable building the path as you walk it. You thrive in a dynamic environment, seeing ambiguity not as a hindrance, but as the raw material to build something meaningful.
• You are a high-trust collaborator. You are ambitious for the team, not just yourself. You embrace our challenge culture by giving and receiving ongoing feedback—knowing that candor delivered with clarity and respect is the truest form of teamwork and the fastest way to earn trust.
• You champion simplicity. You are skilled at distilling complex problems, user needs, and technical concepts into clear, simple, and actionable plans. You are a precise communicator who brings clarity and focus to every interaction.

What We’re Looking for (Minimum Qualifications)

• 10+ years of related experience with a combination of Big 4 public accounting and SaaS or tech industry experience
• Bachelor’s degree in accounting or Finance; CPA license, Master’s degree or LLM preferred
• Extensive technical knowledge of U.S. federal and state income tax; strong familiarity with ASC 740 preferred
• Advanced Excel and strong analytical skills to conduct thorough tax research and solve complex problems
• Strong oral and written communication skills, with ability to communicate complex subject matter to leadership, peers and other levels in the company

What Will Make You Stand Out (Preferred Qualifications)

• Experience in a fast moving, high growth environment with ability to react quickly to unexpected challenges and opportunities
• Extremely organized and able to manage work requirements to meet reporting deadlines

#LI-Remote #LI-AT4

Role

We are hiring a Principal Software Development Engineer to be a founding member of our AI Security Team, offering the chance to build a high-reliability, low-latency AI security solution designed to scale for hundreds of millions of users. In this role, reporting to the Director, Software Development Engineering, you will be responsible for designing and implementing core infrastructure components and distributed systems while collaborating closely with various stakeholders throughout the development lifecycle. This is a hybrid role, reporting in to the San Jose, CA office 3 days a week.  

What you’ll do (Role Expectations)

• Architect, develop, and optimize a low-latency, high-throughput AI Security plane utilizing Rust, specifically leveraging its async/await model for highly efficient I/O and service-oriented architecture.
• Build resilient, distributed, and scalable systems, emphasizing concurrency, fault tolerance, and robust messaging protocols.
• Implement and maintain gRPC services and APIs to ensure seamless integration of the AI Security plane with control and orchestration infrastructure.
• Systematically enhance performance across the entire stack, including LLM models, by employing profiling tools for both kernel-space and user-space components.
• Contribute actively to the team through technical documentation, system design reviews, code reviews, and by mentoring junior engineering staff.Lead complex, multi-functional projects and initiatives, defining the technical roadmap and driving execution across teams.

Who You Are (Success Profile)

• Drive the mission with an owner's mindset, seamlessly bridging high-level strategy and detailed, hands-on execution.
• Actively seek challenges and find complex solutions that deliver maximum impact.
• Deeply empathize with internal and external stakeholders, anchoring every decision in addressing their real-world problems.
• Maintain strong technical curiosity, continually seeking more secure, scalable, and effective methods to accelerate transformation.
• Connect your work to the company's broader mission, designing solutions to support high-growth, global organizational needs.

What We’re Looking for (Minimum Qualifications)

• 12+ years of software engineering experience
• Deep experience in systems programming using Rust, with a focus on asynchronous frameworks such as Tokio or async-std.
• Proven ability to design and implement horizontally scalable, highly available, and observable distributed systems.
• Strong command of Linux internals, including kernel-user space interaction, networking, sockets, and namespaces.
• Skilled in performance instrumentation, containerized environments, Git workflows, and CI/CD pipelines.

What Will Make You Stand Out (Preferred Qualifications)

• Expert in systems languages such as C/C++ or Rust, with a focus on performance optimization.
• Deep understanding of Linux networking stacks, Kubernetes networking, service meshes, and LLM model optimization.
• Practical experience with gRPC, Protobufs, and L4-L7 networking protocols, including TCP/IP, TLS, QUIC, HTTP, and WebSockets (WSS).
• Direct experience in validating AI-driven products, including understanding of model performance metrics and MLOps principles.

#LI-BH1
#LI-Hybrid

Role 

We are looking for a Software Engineer (Reliability) to join our team in San Jose, CA, reporting to the Vice President of Engineering. This is a hybrid role three days a week onsite within the Service Platform Automation department.

You will build and operate the orchestration and reliability automation that manages ZIA’s fleet lifecycle at massive scale. This is a high-ownership role: you will design and implement orchestration workflows and the supporting services needed for safe, deterministic, idempotent fleet operations—while helping the team evolve toward AI-first execution and operations.

What you’ll do (Role Expectations)

• Replace legacy Python/Ansible with a centralized, deterministic orchestration platform, refactoring automation into modular, well-defined workflows while retiring external dependencies and nested logic

• Engineer execution patterns with retries, idempotency, rate limits/backpressure, and safe rollbacks/compensation designs aligned to global fleet capacity

• Implement safe rollouts using segmentation, canaries, and automated health checks to limit blast radius during fleet-wide upgrades and remediation

• Add strong observability and auditability (metrics, traces, replayable histories), participate in on-call rotation, and drive software based fixes to reduce toil following post-incident reviews

• Integrate AI/LLM capabilities to accelerate legacy code migration and enhance safe operational outcomes through intelligent triage, correlation, and automated runbook generation

Who You Are (Success Profile)

• You thrive in ambiguity. You're comfortable building the path as you walk it. You thrive in a dynamic environment, seeing ambiguity not as a hindrance, but as the raw material to build something meaningful.

• You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. True ownership involves leveraging dynamic range: the ability to navigate seamlessly between high-level strategy and hands-on execution.

• You are a problem-solver. You love running towards the challenges because you are laser-focused on finding the solution, knowing that solving the hard problems delivers the biggest impact.

• You are a high-trust collaborator. You are ambitious for the team, not just yourself. You embrace our challenge culture by giving and receiving ongoing feedback—knowing that candor delivered with clarity and respect is the truest form of teamwork and the fastest way to earn trust.

• You are a learner. You have a true growth mindset and are obsessed with your own development, actively seeking feedback to become a better partner and a stronger teammate. You love what you do and you do it with purpose.

What We’re Looking for (Minimum Qualifications)

• BS/MS in Computer Science or a related technical field with 5+ years of experience building and operating production-grade software systems

• Strong proficiency in backend/systems languages (Go, Java, C++, or Rust) with the ability to write high-quality, maintainable code

• Deep experience designing and operating distributed systems, including concurrency, failure handling, performance optimization, and data modeling

• Proven track record of building automation using REST APIs and Swagger with strong guarantees for idempotency, verification, and safe rollout patterns

• Hands-on experience with cloud platforms (AWS/GCP, GKE, Cloud SQL etc.) and proficiency in containerization and CI/CD workflows using Docker and GitLab

What Will Make You Stand Out (Preferred Qualifications)

• Experience with Temporal (or similar platforms) to architect large-scale fleet systems for patching, upgrades, and remediation using deterministic, health-gated workflows and replay-safe designs

• Testing discipline for orchestration and state machines, including E2E harnesses, determinism verification, fault injection, and chaos engineering to ensure system reliability

• Proficiency in PostgreSQL, including SQL development and schema management, to power high-scale, stateful management-plane services and workflows

#LIHybrid #LI-BH1

Important Information

Experience: +6 years

Job Mode: Full-time

Work Mode: Remote

ID: OPP00051-1

Responsibilities and Duties

• Digest requirement from product team and lead the elaboration of high level design for high availability, performance and scalability features for cloud systems; 
• Raise and discuss trade-offs of different design approaches elaborating detailed design documents; 
• Implement solution from coding to testing to production deployment support; 
• Follow agile processes and participate actively in all development phases.

Essential Skills 

• Experience with Golang (Go) programming language;  
• Extensive experience with modeling, producing and consuming web services based APIs (RESTful or SOAP based); 
• Experience on Cloud Service Orchestration; 
• Experience with Cloud Development; 
• Experience with backend systems development; 
• Proven proficiency with object-oriented software development; 
• Proven experience on complex architectural design for cloud-based applications; 
• Design Patterns; 
• Experience with SQL and NoSQL databases such as PostgreSQL, SQL Server, Oracle, MongoDB, Cassandra. 

Highly Desirable Skills 

• Competent in one or more programming language(s): Go (Golang), Python, Node, C#, C and C++, Java; 
• Knowledge on testing (Unit Test, Feature Test, Integration); 
• Knowledge of cloud platforms and technologies including Google Cloud, Aws, Azure; 
• Experience working with Kubernetes and OpenShift; 
• Exposure to and/or experience with Serverless applications; 
• An understanding of software design patterns, pipeline automation and software testing principles and methodologies; 
• Familiar with designing, coding, deploying and debugging microservices applications; 
• Strong Scripting and automation skills; 
• Passionate about solving problems in code; 
• Is proactive and easily trouble shoots and resolves issues relating to customer service, product, process and tools; 
• Comfortable with Linux Environment and shell scripting.

About Encora

Encora is the preferred digital engineering and modernization partner of some of the world’s leading enterprises and digital native companies. With over 9,000 experts in 47+ offices and innovation labs worldwide, Encora’s technology practices include Product Engineering & Development, Cloud Services, Quality Engineering, DevSecOps, Data & Analytics, Digital Experience, Cybersecurity, and AI & LLM Engineering.

At Encora, we hire professionals based solely on their skills and qualifications, and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.

Summer Internship  

Our Summer Internship is designed for students leading into their final year of university, who want to gain real life work experience in a fast past, exciting and professional environment.   

As a Summer Intern, you will participate in onboarding with the UR team that will set you up for success in your role. You will also benefit from professional development sessions, networking, and social events provided by the Internship Program.   

The program takes place from June – August 2026 (12 week program)  

The Role

Join the Policy Engineering team and contribute to building an enterprise-grade cloud data governance platform used by Fortune 500 clients to manage and protect sensitive data across complex, multi-cloud environments.

• Develop internal tooling, testing harnesses, and AI-assisted developer utilities that improve team productivity and engineering quality — owning small-to-medium scoped projects with real impact on day-to-day engineering workflows.
• Write backend code in Go within a large, production-grade codebase — learning established patterns and conventions under the guidance of senior engineers and tech leads.
• Build and maintain automated test suites and evaluation frameworks to validate system behavior, helping the team catch regressions and ensure correctness as the product evolves.
• Explore and prototype AI/LLM-powered tooling to assist with development workflows — such as automated test generation, code analysis utilities, or documentation assistants.
• Collaborate closely with senior engineers — attending design discussions, sprint planning, and code reviews as a participant, gaining exposure to how large-scale distributed systems are architected and delivered.
• Ramp up on modern backend and cloud engineering practices including distributed systems concepts, event-driven architecture, multi-tenant SaaS design, and cloud infrastructure.

 What you'll gain: Hands-on experience shipping real software in a production engineering environment, mentorship from senior engineers, and deep exposure to enterprise cloud and data platform engineering.

Requirements:

• This role requires you to be in office 5 days a week at the San Jose, California location

Qualifications: 

• Currently pursuing a Bachelors or Master’s degree in Computer Science, Information Technology, Engineering, or a related field.
• Strong problem-solving and analytical skills.
• Must be able to exhibit prior use of AI tooling
• Ability to work independently in a dynamic, fast-paced environment; high-energy, motivated self-starter.
• Detail-oriented with a proactive, problem-solving mindset 
• Comfortable working in a fast-paced, collaborative environment
• Strong organizational skills with the ability to manage multiple moving pieces 

Applicants must be authorized to work in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa now or in the future. 

Benefits

As a paid intern at Veeam, you’ll receive:

• Paid Company Holidays during your internship
• Tech Stipend to help set up your workspace
• 8 Hours of Paid Volunteer Time through our Veeam Cares Program
• Personal and Professional Development through our Internship Program

We’re committed to providing a supportive and rewarding internship experience.

Title: Senior Application Security Engineer

Location: Austin, TX / Dallas, TX / San Jose, CA / Morristown, NJ (hybrid)

Reports To: Sr. Manager, Cybersecurity

About Hippo

Hippo exists to protect the joy of homeownership. We believe that insurance should protect the things you treasure through an intuitive, modern experience. We provide tailored insurance coverage and preventative maintenance plans that keep you protected throughout your homeowner journey. We’ll also help you find coverage for everything life brings—from auto to flood—reimagining how you care for your home.

About the Role

The Senior Application Security Engineer is a senior individual contributor responsible for driving application security outcomes across Hippo’s engineering organization. This role serves as a trusted subject matter expert in application security, providing deep technical guidance and influencing secure design decisions across multiple teams, products, and services.

This position is application-security–first, with intentional overlap into cloud and platform security where application code, identity, CI/CD pipelines, and infrastructure intersect. While the role does not own infrastructure, security programs, or formal departmental priorities, it is accountable for identifying application-centric risks and guiding high-impact security decisions through expertise, partnership, and advisory influence.

Operating with significant autonomy, the Senior Application Security Engineer independently owns complex and ambiguous security challenges end-to-end, ensuring outcomes align with business objectives and risk tolerance. This role emphasizes technical leadership, cross-functional collaboration, and mentorship rather than people management.

About You

You are a seasoned application security professional with deep technical expertise and strong judgment, trusted to guide complex security decisions in high-impact environments. You think adversarially, understand modern application architectures, and can clearly articulate risk tradeoffs to engineering, product, and security leadership.

You are comfortable operating independently in ambiguous situations, influencing outcomes through credibility and collaboration rather than formal authority. You communicate clearly, mentor others naturally, and help elevate application security maturity across teams by embedding secure design principles into everyday engineering practices.

What You'll Do:

• Serve as a senior subject matter expert in application security, providing authoritative guidance on secure design, authentication, identity flows, API security, and cloud-native application risks.

• Act as a trusted security advisor during architecture reviews, design discussions, and risk assessments across multiple teams and services.

• Identify, assess, and clearly communicate application-centric security risks across application code, CI/CD pipelines, identity systems, and cloud environments.

• Independently own and drive resolution of complex and ambiguous application security challenges with broad organizational impact.

• Apply threat modeling, attack-path analysis, and adversarial thinking to inform defensive improvements and strengthen application resilience.

• Contribute technically to broader security programs by shaping standards, best practices, secure patterns, and technical guidance.

• Support security incidents and targeted threat-hunting efforts by providing application security expertise, root-cause analysis, and remediation guidance.

• Design, improve, and help operationalize automated security tooling and pipelines (e.g., SAST, DAST, SCA, secrets detection).

• Mentor engineers and security partners across teams, acting as a force multiplier to improve secure design and decision-making at scale.

• Communicate risks, recommendations, and standards clearly to senior engineers and security leadership to influence technical direction.

Must Haves:

• 6+ years of experience in application security or product security roles.

• Demonstrated impact improving application security outcomes across multiple teams, systems, or business domains.

• Deep experience securing web applications, APIs, distributed systems, WAFs, and customer identity platforms.

• Strong understanding of authentication and identity protocols (OAuth2, OIDC, SAML, JWT, MFA).

• Proven ability to review system designs, data flows, and identify architectural security risks.

• Solid understanding of cloud-native application architectures and CI/CD pipelines from an application risk perspective.

• Experience designing or maintaining automated security tooling and pipelines (SAST, DAST, SCA, secrets detection).

• Proficiency in one or more modern programming languages.

Nice to Have:

• Experience threat modeling or assessing AI-powered features and LLM integrations.

• Application-focused penetration testing or adversarial security testing experience.

• Familiarity with Kubernetes, container security, and infrastructure-as-code as they relate to application security.

• Experience operating in regulated environments.

• Relevant security certifications (e.g., OSWE, GWAPT, CSSLP).

Benefits and Perks:

Hippo treats its team members with the same level of dedication and care as we do our customers, which is why we’re fortunate to provide all of our Hippos with: 

• Healthy Hippos Benefits - Multiple medical plans to choose from and 100% employer covered dental & vision plans for our team members and their families. We also offer a 401(k)-retirement plan, short & long-term disability, employer-paid life insurance, Flexible Spending Accounts (FSA) for health and dependent care, and an Employee Assistance Program (EAP) 
• Equity - This position is eligible for equity compensation  
• Training and Career Growth - Training and internal career growth opportunities 
• Flexible Time Off - You know when and how you should recharge 
• Little Hippos Program - We offer 12 weeks of parental leave for primary and secondary caregivers 
• Hippo Habitat - Snacks and drinks available and catered lunches for onsite employees
  

The Morristown, NJ and San Francisco Bay Area base pay range for this role is $151,000.00 - $226,250.00. Exact compensation may vary based on several job-related factors that are unique to each candidate, including but not limited to: skill set, experience, education/training, location, business needs and market demands.

Hippo is an equal opportunity employer, and we are committed to building a team culture that celebrates diversity and inclusion. Hippo’s applicants are considered solely based on their qualifications, without regard to an applicant’s disability or need for accommodation. Any Hippo applicant who requires reasonable accommodations during the application process should contact the Hippo’s People Team to make the need for an accommodation known. 

Title: Senior Application Security Engineer

Location: Austin, TX / Dallas, TX / San Jose, CA / Morristown, NJ (hybrid)

Reports To: Sr. Manager, Cybersecurity

About Hippo

Hippo exists to protect the joy of homeownership. We believe that insurance should protect the things you treasure through an intuitive, modern experience. We provide tailored insurance coverage and preventative maintenance plans that keep you protected throughout your homeowner journey. We’ll also help you find coverage for everything life brings—from auto to flood—reimagining how you care for your home.

About the Role

The Senior Application Security Engineer is a senior individual contributor responsible for driving application security outcomes across Hippo’s engineering organization. This role serves as a trusted subject matter expert in application security, providing deep technical guidance and influencing secure design decisions across multiple teams, products, and services.

This position is application-security–first, with intentional overlap into cloud and platform security where application code, identity, CI/CD pipelines, and infrastructure intersect. While the role does not own infrastructure, security programs, or formal departmental priorities, it is accountable for identifying application-centric risks and guiding high-impact security decisions through expertise, partnership, and advisory influence.

Operating with significant autonomy, the Senior Application Security Engineer independently owns complex and ambiguous security challenges end-to-end, ensuring outcomes align with business objectives and risk tolerance. This role emphasizes technical leadership, cross-functional collaboration, and mentorship rather than people management.

About You

You are a seasoned application security professional with deep technical expertise and strong judgment, trusted to guide complex security decisions in high-impact environments. You think adversarially, understand modern application architectures, and can clearly articulate risk tradeoffs to engineering, product, and security leadership.

You are comfortable operating independently in ambiguous situations, influencing outcomes through credibility and collaboration rather than formal authority. You communicate clearly, mentor others naturally, and help elevate application security maturity across teams by embedding secure design principles into everyday engineering practices.

What You'll Do:

• Serve as a senior subject matter expert in application security, providing authoritative guidance on secure design, authentication, identity flows, API security, and cloud-native application risks.

• Act as a trusted security advisor during architecture reviews, design discussions, and risk assessments across multiple teams and services.

• Identify, assess, and clearly communicate application-centric security risks across application code, CI/CD pipelines, identity systems, and cloud environments.

• Independently own and drive resolution of complex and ambiguous application security challenges with broad organizational impact.

• Apply threat modeling, attack-path analysis, and adversarial thinking to inform defensive improvements and strengthen application resilience.

• Contribute technically to broader security programs by shaping standards, best practices, secure patterns, and technical guidance.

• Support security incidents and targeted threat-hunting efforts by providing application security expertise, root-cause analysis, and remediation guidance.

• Design, improve, and help operationalize automated security tooling and pipelines (e.g., SAST, DAST, SCA, secrets detection).

• Mentor engineers and security partners across teams, acting as a force multiplier to improve secure design and decision-making at scale.

• Communicate risks, recommendations, and standards clearly to senior engineers and security leadership to influence technical direction.

Must Haves:

• 6+ years of experience in application security or product security roles.

• Strong understanding of Customer Identity Access Management (CIAM), authentication and identity protocols. (OAuth2, OIDC, SAML, JWT, MFA).

• Demonstrated impact improving application security outcomes across multiple teams, systems, or business domains.

• Deep experience securing web applications, APIs, distributed systems, WAFs, and customer identity platforms.

• Proven ability to review system designs, data flows, and identify architectural security risks.

• Solid understanding of cloud-native application architectures and CI/CD pipelines from an application risk perspective.

• Experience designing or maintaining automated security tooling and pipelines (SAST, DAST, SCA, secrets detection).

• Proficiency in one or more modern programming languages.

Nice to Have:

• Experience threat modeling or assessing AI-powered features and LLM integrations.

• Application-focused penetration testing or adversarial security testing experience.

• Familiarity with Kubernetes, container security, and infrastructure-as-code as they relate to application security.

• Experience operating in regulated environments.

• Relevant security certifications (e.g., OSWE, GWAPT, CSSLP).

Benefits and Perks:

Hippo treats its team members with the same level of dedication and care as we do our customers, which is why we’re fortunate to provide all of our Hippos with: 

• Healthy Hippos Benefits - Multiple medical plans to choose from and 100% employer covered dental & vision plans for our team members and their families. We also offer a 401(k)-retirement plan, short & long-term disability, employer-paid life insurance, Flexible Spending Accounts (FSA) for health and dependent care, and an Employee Assistance Program (EAP) 
• Equity - This position is eligible for equity compensation  
• Training and Career Growth - Training and internal career growth opportunities 
• Flexible Time Off - You know when and how you should recharge 
• Little Hippos Program - We offer 12 weeks of parental leave for primary and secondary caregivers 
• Hippo Habitat - Snacks and drinks available and catered lunches for onsite employees
  

The Morristown, NJ and San Francisco Bay Area base pay range for this role is $151,000.00 - $226,250.00. Exact compensation may vary based on several job-related factors that are unique to each candidate, including but not limited to: skill set, experience, education/training, location, business needs and market demands.

Hippo is an equal opportunity employer, and we are committed to building a team culture that celebrates diversity and inclusion. Hippo’s applicants are considered solely based on their qualifications, without regard to an applicant’s disability or need for accommodation. Any Hippo applicant who requires reasonable accommodations during the application process should contact the Hippo’s People Team to make the need for an accommodation known. 

The AGI (Artificial General Intelligence) Computing Lab is dedicated to solving the complex system-level challenges posed by the growing demands of future AI/ML workloads. Our team is committed to designing and developing scalable platforms that can effectively handle the computational and memory requirements of these workloads while minimizing energy consumption and maximizing performance. To achieve this goal, we collaborate closely with both hardware and software engineers to identify and address the unique challenges posed by AI/ML workloads and to explore new computing abstractions that can provide a better balance between the hardware and software components of our systems. Additionally, we continuously conduct research and development in emerging technologies and trends across memory, computing, interconnect, and AI/ML, ensuring that our platforms are always equipped to handle the most demanding workloads of the future. By working together as a dedicated and passionate team, we aim to revolutionize the way AI/ML applications are deployed and executed, ultimately contributing to the advancement of AGI in an affordable and sustainable manner. Join us in our passion to shape the future of computing!

This role is being offered under the AGICL lab as a part of DSRA. We are a research-driven systems lab working at the intersection of large language models, accelerator hardware, and high-performance software stacks. Our mission is to design, prototype, and optimize next-generation AI systems through tight hardware–software co-design.

Our team works hands-on with cutting-edge accelerator hardware, experimental memory systems, and emerging domain-specific languages (DSLs). We build and optimize a Triton-based software stack that pushes the limits of performance, efficiency, and scalability for modern LLM workloads.

We are looking for a Senior AI Systems Engineer with deep experience in high performance Triton kernel development on modern accelerators. In this role, you will design, analyze, and optimize performance-critical kernels used in large scale LLM inference and training pipelines. You will work closely with hardware architects, compiler engineers, and ML researchers to identify performance bottlenecks, interpret profiling data, and co-design solutions that span software and hardware boundaries.

This role is ideal for engineers who enjoy working close to the hardware stack while still reasoning deeply about model level abstractions.

Location:  Daily onsite presence at our San Jose, CA office / U.S. headquarters in alignment with our Flexible Work policy.

What You’ll Do

• Design, implement, and optimize high-performance Triton kernels for LLM workloads on existing accelerators.
• Analyze kernel performance using profiling tools; interpret metrics such as latency, throughput, occupancy, memory bandwidth, and compute utilization.
• Identify performance bottlenecks in kernel design (e.g., memory access patterns, synchronization, tiling strategies) and propose concrete optimizations.
• Work across the stack; from model architecture to kernel implementation—to ensure end-to-end performance efficiency.
• Collaborate with hardware and compiler teams on hardware–software co-design, providing feedback that influences future accelerator and DSL designs.
• Prototype and evaluate kernel optimizations using upcoming DSLs and experimental compiler flows.
• Contribute to the evolution of a Triton-based software stack used for cutting-edge research and production-grade experimentation.
• Document design decisions, performance trade-offs, and optimization strategies clearly for internal and external stakeholders.

What You Bring

• Bachelor’s with 5+ years, or Master’s with 3+ years, or PhD's with 0+ years of industry experience.
• Strong experience writing high-performance Triton kernels for GPUs or other accelerators.
• Solid understanding of LLM fundamentals, including attention mechanisms, transformer architectures, and inference/training workflows.
• Deep knowledge of accelerator hardware architecture, including:  Memory hierarchies (HBM, SRAM, caches).
• Proven ability to read and interpret profiling data and performance counters.
• Experience diagnosing and resolving performance bottlenecks in kernel-level code.
• Strong systems programming skills in Python and low-level performance-oriented programming paradigms.
• Experience with hardware–software co-design or compiler-assisted optimization.
• Familiarity with FlashAttention, fused kernels, MoE kernels, and different attention mechanisms.
• Experience working with emerging or experimental domain-specific languages (DSLs) for accelerator programming.
• Background in ML systems, compilers, or performance engineering.
• Prior experience working with different accelerator backends (including but not limited to CUDA).
• Opportunity to work on cutting-edge accelerator hardware and experimental software stacks.
• Direct impact on the performance and design of next-generation AI systems.
• A highly collaborative environment spanning hardware, systems, and ML research.
• Flexibility to publish, prototype, and influence future hardware and software directions.
• Ability to work effectively in cross-functional, research-oriented environments.
• Strong analytical and problem-solving skills.
• You’re inclusive, adapting your style to the situation and diverse global norms of our people.
• An avid learner, you approach challenges with curiosity and resilience, seeking data to help build understanding.
• You’re collaborative, building relationships, humbly offering support and openly welcoming approaches.
• Innovative and creative, you proactively explore new ideas and adapt quickly to change.

#LI-VL1

Job Title: Principal engineer, AI Serving Framework Architect (Software)

What You’ll Do    

The Architecture Research Lab (ARL) focuses on addressing fundamental system-level bottlenecks in modern AI, particularly in memory capacity/bandwidth and system-scale communication. By leveraging Samsung’s world-class memory technologies, ARL explores and defines next-generation AI system architectures that deliver step-function improvements in performance, efficiency, and scalability.
We are seeking a Principal AI System Architect who will play a key role in bridging AI workloads, system architecture, and hardware design. In this role, you will develop system-level performance models, drive architecture-level design decisions, and propose forward-looking AI system architectures that shape Samsung’s long-term AI platform strategy.

Location: Daily onsite presence at our San Jose office in alignment with our Flexible Work policy

Job ID: 42853

• As a Tech Lead, leading research teams in Korea and proposing technical direction
• Research on dynamic scheduling methodologies for maximizing AI inference performance in multi-rack scale memory-centric systems, comprised of heterogeneous compute-capable memory and hierarchical memory
• Investigating methods to accelerate search operations in RAG’s vector DB and AI Agent’s knowledge-graph by leveraging compute-capable memory
• Studying strategies for optimally placing KVCache and a vector DB in hierarchical memory to minimize frequent SSD accesses and reduce IO stalls
• Proposing SW design for implementing the derived optimization algorithms on open-source platforms such as vLLM

What You Bring

• PhD in Computer Science or a related field with 10+ years of experience in AI Serving Framework for large-scale computing, with focusing on the AI workloads. 
• Led a project to build and optimize a Large Language Model (LLM) Inference Software Stack on a multi-rack scale system to deliver AI Inference services to over 100,000 users. 
• Extensive experience in designing AI Inference Software Stacks for heterogeneous devices.In-depth understanding of the internal architecture and operation mechanisms of inference engines such as vLLM. 
• Proficiency in AI Inference System Profiling and optimization. 
• Knowledge and practical experience with future AI workloads, including reasoning models, multi-modal solutions, AI agents, and world models. 
• Strong understanding of compute, memory, and networking bottlenecks in AI systems. 
• Required skillsets: PyTorch, Python, and C++ 
• A collaborative mindset, curiosity, and resilience in solving complex challenges. 
• Excellent verbal, presentation, and written communication skills. 
• (Nice to have) Native or fluent Korean speakers are preferred. 
• You’re inclusive, adapting your style to the situation and diverse global norms of our people. 
• You approach challenges with curiosity and resilience, seeking data to help build. Understanding.
• You’re collaborative, building relationships, humbly offering support and openly welcoming approaches. 
• Innovative and creative, you proactively explore new ideas and adapt quickly to change 

#LI-SF1

What we do  

You’ll join a software engineering team building internal AI solutions that support teams across The Trade Desk. We leverage large language models, retrieval‑augmented generation (RAG), agentic systems, and enterprise platforms like Microsoft Copilot and Anthropic Claude to improve productivity, streamline workflows, and reduce operational friction.

Our team also plays a key role in AI enablement across the company—supporting teams as they adopt Copilot, Claude and similar tools, designing and deploying custom AI agents, and guiding partners through their AI journey from idea to impact.

As a Senior AI Engineer on this team, you’ll be an end-to-end owner—collaborating closely with stakeholders, identifying opportunities, and delivering tools that make a real impact. We’re a nimble, fast-paced, and highly collaborative group that thrives on transforming the way teams operate and driving greater value across The Trade Desk.

What you’ll do: 

Some of the work that you will be doing to help us deliver on our mission is:

• Design and deploy intelligent agentic systems that integrate large language models (LLMs) with enterprise data, tools, and workflows using frameworks like LangChain, LlamaIndex, and Semantic Kernel.
• Develop Retrieval-Augmented Generation (RAG) applications using tools like Azure AI Search, vector databases, and secure enterprise connectors to deliver contextual insights.
• Build and deploy agents using Microsoft Copilot, Copilot Studio, Anthropic Claude, and similar platforms to help teams operationalize solutions within enterprise guardrails.
• Build and iterate on conversational agents that solve real-world problems, meet stakeholder needs, and deliver measurable business value.
• Deliver high-impact features by collaborating across teams, leading through ambiguity, and aligning technical solutions with business goals.
• Drive quality and performance through automated testing, monitoring, and data-driven evaluation of success criteria, user adoption, and operational efficiency.
• Mentor teammates and contribute to a culture of innovation, technical excellence, and continuous learning.

Who you are: 

• You have a Bachelor’s/Master’s level degree in computer science or relevant engineering-related field or equivalent experience.
• You have 8-10+ years of software engineering experience, including 1-2+ years working on AI-powered systems or products.
• You are proficient in Python and comfortable with additional languages such as C#, SQL, or TypeScript/React.
• You’re excited about AI enablement, including helping teams adopt platforms like Microsoft Copilot, Anthropic Claude and Copilot Studio, building agents, and guiding others through their AI journey.
• You have a good foundational knowledge of or hands-on experience with LLM orchestration frameworks (e.g., LangChain, LlamaIndex, Semantic Kernel) and prompt engineering using LLM APIs.
• You have experience productionizing applications and implementing CI/CD pipelines to ensure reliable, scalable deployments.
• You are skilled in data ingestion and transformation using APIs, ETL pipelines, and connectors, and familiar with vector databases and retrieval strategies.
• You communicate clearly across technical and non-technical audiences and thrive in a collaborative, cross-functional environment.
• You are a fast learner who adapts quickly to new technologies and solves complex problems with creativity and pragmatism.

#LI-TP1

A variety of technical opportunities is one of the best things about working at The Trade Desk as a software engineer, which is why we do not expect you to know every technology we use when you start. What we care about is that you can learn quickly and find solutions to complex problems using the optimum tools for the job. What you know is less important than how well you learn and innovate. We are not seeking engineers who know all the answers; we need engineers who can invent answers no one has thought of yet and find answers to the questions yet to be asked. 

The Trade Desk does not accept unsolicited resumes from search firm recruiters. Fees will not be paid in the event a candidate submitted by a recruiter without an agreement in place is hired; such resumes will be deemed the sole property of The Trade Desk. The Trade Desk is an equal opportunity employer. All aspects of employment will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law.

[LA JOBS ONLY] The Trade Desk will consider qualified applicants with criminal histories for employment in a manner consistent with the requirements of the Los Angeles Fair Chance Initiative for Hiring, Ordinance No. 184652.

[SF JOBS ONLY] Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

#LI-TP1

Important Information 

Location: Brazil
Job Mode: Full-time 
Work Mode: Work from home

Responsibilities and Duties

• Digest requirement from product team and lead the elaboration of high level design for high availability, performance and scalability features for cloud systems; 
• Raise and discuss trade-offs of different design approaches elaborating detailed design documents; 
• Implement solution from coding to testing to production deployment support; 
• Follow agile processes and participate actively in all development phases.

Essential Skills 

• Experience with Golang (Go) programming language;  
• Extensive experience with modeling, producing and consuming web services based APIs (RESTful or SOAP based); 
• Experience on Cloud Service Orchestration; 
• Experience with Cloud Development; 
• Experience with backend systems development; 
• Proven proficiency with object-oriented software development; 
• Proven experience on complex architectural design for cloud-based applications; 
• Design Patterns; 
• Experience with SQL and NoSQL databases such as PostgreSQL, SQL Server, Oracle, MongoDB, Cassandra. 
  

Highly Desirable Skills 

• Competent in one or more programming language(s): Go (Golang), Python, Node, C#, C and C++, Java; 
• Knowledge on testing (Unit Test, Feature Test, Integration); 
• Knowledge of cloud platforms and technologies including Google Cloud, Aws, Azure; 
• Experience working with Kubernetes and OpenShift; 
• Exposure to and/or experience with Serverless applications; 
• An understanding of software design patterns, pipeline automation and software testing principles and methodologies; 
• Familiar with designing, coding, deploying and debugging microservices applications; 
• Strong Scripting and automation skills; 
• Passionate about solving problems in code; 
• Is proactive and easily trouble shoots and resolves issues relating to customer service, product, process and tools; 
• Comfortable with Linux Environment and shell scripting.

About Encora

Encora is the preferred digital engineering and modernization partner of some of the world’s leading enterprises and digital native companies. With over 9,000 experts in 47+ offices and innovation labs worldwide, Encora’s technology practices include Product Engineering & Development, Cloud Services, Quality Engineering, DevSecOps, Data & Analytics, Digital Experience, Cybersecurity, and AI & LLM Engineering.

At Encora, we hire professionals based solely on their skills and qualifications, and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.

Role Overview

As a Senior Staff Backend Engineer on the Platform Core team, you will build the services that power the platform foundation — the Entity Registry, change tracking, typed source system connectors, and the integration infrastructure that every application depends on. This role focuses on Go backend services, PostgreSQL performance, and building durable infrastructure that application teams program against through the Platform SDK.

Responsibilities

• Build and maintain core backend services (Go preferred)
• Build scalable systems that use a range of inter-process communication mechanisms (blackboard, direct, queues, etc.)
• Build common data models from diverse data sources
• Build APIs and SDKs that accelerate application development
• Design and optimize PostgreSQL schemas for performance and evolution
• Define and implement strongly typed reusable APIs (gRPC/protobuf or REST/OpenAPI)
• Develop entity CRUD, search, and traversal capabilities
• Implement change tracking and event propagation patterns (e.g., outbox pattern)
• Optimize database performance (indexing strategy, query planning, connection management)
• Implement middleware for authentication, authorization, rate limiting, and audit logging
• Contribute to observability, reliability, and CI/CD standards
• Collaborate with platform and application teams to validate services in production use cases
• Support AI-assisted workflows by exposing clean, structured APIs suitable for controlled automation
  
  

Required Qualifications

• 10+ years backend engineering experience
• Strong hands-on experience in Go (or equivalent backend experience with willingness to work in Go)
• Deep expertise with relational databases, ideally PostgreSQL, to include:
  • Schema design
  • Performance tuning
  • Indexing strategies
  • Query plan analysis
    
    
• Experience building and operating distributed systems
• Experience defining and implementing typed service contracts
• AWS or other cloud-native infrastructure experience
• Strong understanding of reliability patterns (idempotency, retries, consistency)
• Demonstrated experience defining and developing APIs and SDKs
  
  

Preferred Qualifications

• Experience building typed connectors or integration services against enterprise APIs (OData, REST, SCIM)
• Experience with JSONB modeling or complex relational traversal patterns
• Experience with gRPC and protobuf
• Experience with change data capture (CDC) or event streaming
• Experience implementing policy-as-code authorization (Cerbos, OPA, or similar)
• Kubernetes (EKS) and infrastructure-as-code (Terraform) familiarity
• Experience building services consumed by LLM pipelines or AI-assisted workflows

Please note that this job description is intended to provide a general overview of the position and does not include an exhaustive list of responsibilities and qualifications

At Archer we aim to attract, retain, and motivate talent that possess the skills and leadership necessary to grow our business. We drive a pay-for-performance culture and reward performance that supports the Company’s business strategy. For this position we are targeting a base pay between $182,500 - $220,000. Actual compensation offered will be determined by factors such as job-related knowledge, skills, and experience.

Role Overview

We are seeking a deeply technical, hands-on Principal Platform Architect and Tech Lead to serve as the technical authority for the Enterprise OS team. This high-leverage role is centered on building a foundational platform layer that sits above core enterprise systems (e.g., SAP S/4HANA, Workday, Google Workspace, Okta).

You will help establish foundational platform capabilities that streamline the development of secure, reliable applications atop unified enterprise data. This is a deeply technical, high-leverage role. You will not only design and build core services but also lead the engineering team in execution, set rigorous platform standards, and own the technical roadmap.

Key Responsibilities

• Technical Leadership: Act as the Tech Lead for the platform team. Drive technical decisions, manage architectural trade-offs, and ensure the team adheres to high engineering standards through rigorous design and code reviews.
• Platform Design Ownership: Define the canonical entity model, design the connector interface for typed Go services across source systems, and own the Platform SDK used by application teams.
• Core Service Development: Lead the development of services enabling policy-controlled access, traceability, and automation, including AI-assisted workflows with robust guardrails.
• Execution & Validation: Translate the platform vision into actionable engineering milestones. Your designs will be rapidly validated through production applications.

Responsibilities

• Define canonical entity models that normalize data across multiple enterprise systems (e.g., finance, supply chain, HR)
• Demonstrated ability to lead engineering teams through the full SDLC of complex platform products.
• Design and implement core backend services (Go preferred, Java experience also valued)
• Define strongly typed API contracts and versioning standards using protobuf, with the Platform SDK as the single interface applications build against
• Design a portable data architecture using PostgreSQL, including schema evolution and performance strategy
• Establish scalable connector/integration patterns for ingesting, enriching, and serving enterprise entities
• Build a policy-based authorization approach (RBAC with attribute-aware controls) with entity-level access control and data masking where needed
• Define event propagation patterns (e.g., outbox pattern) and a clear path to CDC/event streaming as the platform matures
• Establish auditability, traceability, and observability standards for platform services
• Enable AI-assisted workflows safely (e.g., classification/summarization/suggested actions) with strict access boundaries and full audit logs
• Mentor engineers and collaborate with application teams to validate the platform through real production use cases
  
  

Qualifications

• 15+ years building distributed systems, backend platforms, or internal developer platforms
• Strong hands-on backend engineering experience  (Go preferred)
• Deep expertise in relational databases, ideally PostgreSQL (schema design, indexing, performance tuning, migrations)
• Experience designing canonical data models across heterogeneous systems
• Experience defining durable API contracts and operating them over time (versioning, compatibility, reliability)
• Experience implementing secure authorization patterns (RBAC and fine-grained access controls)
• Experience designing event-driven systems and reliability patterns (idempotency, retries, consistency)
• Cloud-native experience (AWS/GCP preferred) and comfort working across infrastructure/application boundaries
• Demonstrated ability to ship production systems used by other teams

Preferred:

• Experience with typed contracts
• Experience with policy-as-code authorization (e.g., OPA/Cerbos or similar)
• Experience integrating enterprise identity providers (OIDC/SAML; Okta is a plus)
• Experience building internal SDKs/frameworks used by multiple teams
• Experience incorporating AI/LLM capabilities into production systems with strong governance (access boundaries, prompt-safety patterns, human-in-the-loop controls)
• Experience integrating with ERP/HR systems (SAP, Workday, etc.)
• Experience with enterprise data integration patterns: multi-table source joins, delta sync strategies, field-level provenance, canonical model design

Please note that this job description is intended to provide a general overview of the position and does not include an exhaustive list of responsibilities and qualifications

At Archer we aim to attract, retain, and motivate talent that possess the skills and leadership necessary to grow our business. We drive a pay-for-performance culture and reward performance that supports the Company’s business strategy. For this position we are targeting a base pay between 219,000 - 265,000. Actual compensation offered will be determined by factors such as job-related knowledge, skills, and experience.

About the Role 

We’re looking for an ML/AI Ops Engineer with 7+ years of experience to own the end-to-end operationalization of our ML/AI solutions, ensuring models move smoothly from development to scalable, reliable production products. In this role, you’ll design and automate CI/CD pipelines, build and optimize model lifecycle workflows, monitor deployed models for performance, drift, and reliability, and integrate intelligence products into various digital tools such as Copilot, Salesforce, and Tableau. You’ll collaborate closely with Data Scientists, Data Engineers, and Data Architects to transform high-quality research models into robust, production-grade products. This is a key role in shaping a modern ML/AI lifecycle—from CI/CD to high governance. 

What You’ll Do 

• Own the end-to-end operationalization of ML and AI solutions—from development to scalable, reliable production systemsthat integrateseamlessly with other digital tools. 
  • Design, automate, and maintain CI/CD pipelines for model training, testing, deployment, and retraining (Azure DevOps, Databricks). 
  • Build, optimize, and version model lifecycle workflows, ensuring reproducibility, lineage, and governance across the ML/AI platform. 
  • Monitor production models for performance, drift, reliability, and resource usage; implement automated retraining workflows. 
  • Optimize compute, storage, and orchestration across the Databricks platform to ensure efficient, cost-effective operations. 
  • Collaborate closely with ML/AI Scientists, Data Engineers, and DWH team to transform research-grade models into production-ready services. 
  • Contribute to advancing our ML/AI platform, tooling, automation standards, and best practices. 

What You’ll Bring 

• Solid experience in operationalizing ML/AI models, including deployment, automation, monitoring, and lifecycle management.
• Strong programming skills in Python,PySpark, and SQL with clean, efficient, production-ready code.
• Experienced in feature engineering with a practical understanding of data engineering fundamentals - designing, validating, and optimizing feature pipelines, and ensuring feature consistency
• Experience in building Vector embeddings & RAG systems.
• Familiarity in ML and LLM models development and libraries used.
• Experience with MLflow (or similar tools) for model tracking, registry management, and lifecycle operations.
• Familiarity with CI/CD pipelines (Azure DevOps preferred)
• Strong grasp of data versioning, model versioning, reproducibility, and data lineage within governed ML/AI environments.
• Experience designing, consuming, or integrating REST APIs to expose ML/AI models as services and support real-time or near-real-time inference.
• Experience monitoring production models, identifying drift or performance issues, and implementing corrective workflows.
• A collaborative, systems-thinking mindset, working closely with ML/AI Scientists, Data Engineers, and Data Warehouse team. 

Bonus Skills 

• Understanding ofdata quality frameworks and how they integrate into ML pipelines.
• Comfort with infrastructure-as-code for provisioning and managing ML/AI platform components. 
• Working knowledge of Unix environments and general DevOps principles; exposure to Docker/Kubernetes is beneficial.
• Experience with real-time or near-real-time serving architectures, event-driven systems, or streaming-based inference.
• Experience with AI agent tools and MCP servers. 
• Strong interest in contributing to internal ML/AI platform evolution, including tooling, automation, standards, and best practices.

What You’ll Get 

• Two weeks of paid vacation, 12 statutory holidays, plus 4 extra global VeeaMe Days for self-care and 24 paid volunteer hours annually through Veeam Cares
• Paid parental leave: 8 days for fathers, 122 days for birthing parents, 92 days for adoptive parents
• Medical, dental, and vision coverage fully funded through INS Premium for employees and dependents
• Mental health support, therapy sessions, and virtual care via our Employee Assistance Program
• Retirement and social security contributions through Costa Rica’s statutory programs
• Life insurance equal to 24x monthly salary, plus disability and funeral coverage
• Daily cafeteria subsidy
• Fertility, adoption, and surrogacy support, plus 24 paid volunteer hours through Veeam Cares
• Opportunities to learn and grow through on-demand libraries (LinkedIn Learning, O’Reilly), mentoring, workshops, and learning events like our annual Global Day of Learning

#LI-CC1

About the Opportunity

OKX is looking for a Senior Director of AI to lead both the people and the product — building and managing a high-calibre AI team while maintaining close involvement in how autonomous agent systems are designed, evaluated, and shipped into production. This role is for someone who leads by doing: grounded in the technical craft, sharp on product direction, and able to translate both into real business outcomes.

What You’ll Be Doing

• Team Leadership — Build, manage, and develop a team of AI engineers and researchers; own hiring, growth, and performance across the function
• Agent Product Delivery — Lead end-to-end delivery of autonomous AI Agent products, covering the full lifecycle from requirements and architecture through to production operations
• Eval-Driven Development — Establish benchmark-driven evaluation frameworks that replace manual iteration with quantifiable quality signals across agent systems
• Agent Harness Design — Design and implement end-to-end Agent Harness infrastructure to ensure agent stability and reliability in complex, real-world scenarios
• LLM Orchestration — Orchestrate creative reasoning steps alongside deterministic guardrails, finding the right balance between flexibility and control
• Engineering Workflow Integration — Embed AI Agent capabilities deeply into core products and engineering pipelines, improving both developer productivity and business value
• Cross-functional Alignment — Collaborate with product, engineering, and business teams to ensure technical direction stays tightly aligned with strategic priorities

What We Look For In You 

• Master's or PhD in Computer Science, Artificial Intelligence, or a related field 
• 10+ years of experience in AI/ML research, productization, or platform development, including core technical or leadership roles at globally recognized technology companies
• Deep expertise in LLMs and Generative AI, deep learning, reinforcement learning, recommendation systems, and related areas
• Proven track record of translating AI capabilities into measurable business outcomes
• End-to-end delivery experience with autonomous AI Agent products, from inception and architecture through to production operations
• Hands-on experience integrating AI deeply into engineering and development workflows — such as AI coding assistants, automated code review, or developer productivity tooling
• Proficiency in Mandarin and English is required to collaborate across our multilingual, cross-regional teams

Nice to Haves

• Background at an AI-native startup or frontier AI lab, with familiarity with fast-cycle product iteration
• AI publications, patents, or industry-recognized technical contributions
• Familiarity with the unique technical challenges of applying AI in crypto, fintech, or high-frequency data environments

Perks & Benefits

• Competitive total compensation package
• L&D programs and Education subsidy for employees' growth and development
• Various team building programs and company events
• Wellness and meal allowances 
• Comprehensive healthcare schemes for employees and dependants 
• More that we love to tell you along the process!

What we do

Our Lead Senior Staff Software Engineers are end-to-end owners who will participate in all aspects of designing, building, and delivering the foundational experiences that make The Trade Desk platform exceptional for the traders who rely on it every day.

The Desk Fundamentals team sits within the Core Workflows engineering organization and owns the platform UI framework that the rest of our buying-side engineering teams build on top of. Our mission is straightforward but demanding: deliver consistent experiences, logical navigation, and user-friendly page components at platform scale. We own the shared design patterns and frontend frameworks that empower other teams to ship features quickly and reliably. We build and evolve the Portfolio Views that give traders clarity into performance across partners and advertisers. We maintain the Programmatic Table — one of the highest-traffic surfaces on the platform — and we are the team that sets the bar for what quality looks like across The Trade Desk's core product.

At The Trade Desk, we believe that each opportunity to engage with all internal and external stakeholders is unique. This means that based on your interests and background, you will have the opportunity to work on large-scale, distributed systems — for example, coordinating thousands of servers in cloud and physical data centers around the world, petabyte-scale data challenges, advanced data visualizations, and interactive user interfaces, to name a few.

Our system performs every day, 24/7, serving global traffic. It's important that we focus on quality at scale in an agile environment based on collaboration, ownership, and trust. Our software engineering teams fully own their charter to work on long-term roadmaps while enhancing existing features or tools and continuously improving efficiency.

What you’ll do

It's the best of both worlds — you'll get a chance to exercise your technical leadership and build up your people management and leadership skills. Some of the work that you will be doing to help us deliver on our mission includes the following:

Technical leadership

• Actively review designs, code, and architecture across the team's surface area, from the platform framework to the data-rich tables and panels that traders use every day.

• Deliver meaningful, technical, and hands-on contributions to the team's objectives, from architectural decisions on our shared UI framework to concrete pull requests.

• Understand strategic business priorities and communicate with the team on how their work connects to the broader roadmap and company goals.

• Drive the technical direction for how other engineering teams within Core Workflows — and across the broader organization — build on top of the platform framework the Desk Fundamentals team owns.

Project level processes and execution

• Collaborate with the PM team to develop the roadmap and MVP plans, translating complex UX and platform consistency challenges into clearly scoped, executable engineering work.

• Develop execution plans including resources, milestones, and timelines for roadmap initiatives.

• Define and track the business KPIs and user-facing metrics that connect the team's engineering work to meaningful outcomes, ensuring the team understands the impact of what they ship.

• Continuously analyze and optimize team efficiency, removing blockers and ensuring the team ships with quality.

• Establish and deliver on team commitments, and communicate important developments and changes to area leadership and other stakeholders.

• Measure and maintain the quality of the team's contributions, including platform reliability, consistency, and developer experience for the teams building on top of what we own.

People management

• Manage a small team of talented engineers, serving as both their technical leader and their people manager.

• Help team members develop career growth plans and accelerate toward their next level.

• Give regular and effective feedback, and hold weekly 1:1 meetings with direct reports.

• Conduct annual reviews and make compensation recommendations.

• Foster an inclusive, psychologically safe team culture where diverse perspectives are genuinely valued.

Who you are

Our culture is much deeper than just having fun together (though we do that well, too). We take pride in our engineers being trust-builders, generous givers, scrappy problem solvers, and gritty pursuers of excellence. You do not have to meet all the requirements below, but we believe that people who meet most of them will have a higher likelihood of succeeding in this role:

• You have a solid understanding of SDLC (Software Development Life Cycle), DevOps, and agile methodologies.

• You have a solid understanding of cloud computing and the trade-offs of large-scale, distributed web applications.

• You have a solid understanding of design patterns and software architecture, including frontend systems design and component-based architectures.

• You have experience contributing to the professional growth of software engineers, and a proven track record of growing multiple senior engineers and tech leads.

• You have experience providing technical and project leadership of initiatives involving multiple teams, including platform or framework work where your team's decisions directly affect the velocity and quality of teams outside your own.

• You have experience leading and completing projects with a high degree of technical ambiguity.

• You have experience driving major, strategic, company-wide initiatives with significant risk.

• You have experience hiring and conducting interviews.

• You are proficient in one or more of the following programming languages: TypeScript/JavaScript, C#, Java, C, C++, Python, SQL, or Scala.

• You have 13+ years of software development engineering experience.

• You have 1+ years of experience directly managing people.

• You have a Bachelor's/Master's level degree in computer science or a relevant engineering-related field, or equivalent experience. Not everyone has the same level of access to opportunities. What is most important to us is what and how you can contribute, which is why our consideration is not limited by the level of education you have.

• You have additional nice-to-have experience in the following areas: full-stack web development, frontend framework design, data visualization and table-heavy UI systems, distributed systems, microservices, Kubernetes, and AI/LLM integration into production applications.

We are a global team with different backgrounds, experiences, and perspectives. To complement this team, you will welcome ideas that are different from your own and be well-versed in building from common ground to value, seek out, and foster invisible and visible dimensions of diversity.

A variety of technical opportunities is one of the best things about working at The Trade Desk as a software engineer, which is why we do not expect you to know every technology we use when you start. What we care about is that you can learn quickly and find solutions to complex problems using the optimum tools for the job. What you know is less important than how well you learn and innovate. We are not seeking engineers who know all the answers; we need engineers who can invent answers no one has thought of yet and find answers to the questions yet to be asked.

The Trade Desk does not accept unsolicited resumes from search firm recruiters. Fees will not be paid in the event a candidate submitted by a recruiter without an agreement in place is hired; such resumes will be deemed the sole property of The Trade Desk. The Trade Desk is an equal opportunity employer. All aspects of employment will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law.

About Vectra 

Vectra is the world leader in AI-driven cybersecurity, applying cutting-edge AI to detect and stop sophisticated cyberattacks across hybrid cloud, identity, and network environments. We are doubling down on AI innovation to drive strategic impact, accelerate our product roadmap, and ensure that we continue to deliver the most accurate threat signal in the industry.  

Role Overview 

We’re looking for a strategic and inspired Head of AI to lead our AI and data engineering teams, drive our AI business transformation strategy, and serve as a resident expert within the organization. You will shape the vision and execution of  AI initiatives and work with business leadership to unlock the next wave of AI-driven capabilities across our organization, including IT, Go To Market, Customer, G&A and Product functions This individual will focus on creating and operationalizing AI strategy while scaling team capabilities and ensuring high ROI from AI investments.  

What You’ll Do 

Strategic Leadership & Execution 

• Define, evolve, and execute Vectra’s AI strategy in alignment with business goals. 
• Evangelize AI vision and strategy to executives, cross-functional partners, and external stakeholders. 
• Translate long-term AI goals into actionable roadmaps with clear priorities and measurable outcomes.  
• Lead a team of cross-functional executives responsible for driving Gen AI initiatives in their organizations through a ‘hub-and-spoke model.’ 

Team Leadership & Development 

• Lead and grow high-performing teams of AI engineers, machine learning engineers, and data engineers to deliver transformational programs.
• Mentor and develop technical talent; foster a culture of collaboration, innovation, and continuous learning. 
• Set performance targets and build career paths for team members. 

Cross-Functional Partnership 

• Work closely with Engineering, Product, Data Science, Security Research, and Go-to-Market functions to embed AI across Vectra’s platform and solutions. 
• Partner with executive leaders to conduct “build vs buy” assessments, prioritize programs, conduct feasibility assessments, document requirements and deliver technical programs assessments,
  Technical Excellence 
• Guide architectural decisions for scalable AI/ML systems, data pipelines, model governance, and deployment frameworks. 
• Drive best practices for experiment tracking, monitoring, retraining, and model lifecycle management. 
• Stay abreast of AI advancements — especially in machine learning, deep learning, generative models, and large-scale distributed systems — and determine how to bring relevant innovation into production.  

Governance & Responsible AI 

• Ensure responsible, secure, and ethical use of AI — especially given the sensitive nature of customer and internal data. 
• Establish governance frameworks for model quality, bias mitigation, and compliance with internal and external standards. 

Measurement & Impact 

• Define and track key performance indicators for AI initiatives (e.g., operational efficiency, ROI/cost impact, and business value delivered).  
• Report on progress, blockers, and outcomes to senior leadership. 

What We’re Looking For 

Experience 

• 8+ years of experience building, scaling, and deploying AI/ML systems in production environments in Engineering or IT organizations. 
• 3+ years in a leadership role managing engineers, data practitioners, or AI/ML teams. 
• Proven track record shaping AI strategy that influences product and business outcomes.  

Technical Expertise 

• Strong foundation in machine learning, data architecture, distributed systems, and AI tooling. 
• Hands-on experience with modern AI tools,LLM's, cloud platforms, and data infrastructure. 
• Track record of deploying solutions at scale with attention to reliability, performance, and monitoring. 

Leadership Skills 

• Comfortable operating at both strategic and tactical levels. 
• Excellent communicator with ability to articulate complex technical concepts to non-technical stakeholders. 
• Demonstrated ability to collaborate across functions and lead in a high-growth environment. 

Education 

• Advanced degree in Computer Science, AI/Machine Learning, IT development/ Data Science, or a related field preferred. 

Vectra is at the forefront of cybersecurity AI innovation — applying cutting-edge AI to defend organizations worldwide. You’ll lead a growing team, work with world-class technologists, and directly influence how AI protects customers from evolving threats. Join us as we build the next generation of AI-powered security capabilities. 

Who We Are

• PhD or Master's in Computer Science, AI, Machine Learning, Robotics or related field with at least 10 years of industry experience.
• Possess a deep expertise in at least one of the following areas: long-term memory, knowledge graphs, or context management.

Position Overview
Trackonomy is pioneering the next-generation operating system for the connected world, leveraging smart labels, multi-radio IoT devices, agent-based intelligence, and the Sentient AI platform to deliver true end-to-end visibility, automation, control, and remediation across global supply chains. Our vertically integrated solutions transform physical assets into intelligent, communicative objects, addressing mission-critical challenges in logistics, healthcare, cold chain, industrial operations, manufacturing, and beyond.

Inspired by industry-leading transformations in AI-driven development—as highlighted by visionaries including Microsoft CEO Satya Nadella—this role consolidates traditionally siloed functions into a unified Full-Stack Builder position. The Full-Stack Builder assumes comprehensive ownership of features, modules, or customer-facing capabilities within Trackonomy’s platform ecosystem. By harnessing advanced AI tools for code generation, design automation, reasoning, testing, and orchestration, one individual can span product strategy through full implementation and deployment, dramatically accelerating innovation in real-world IoT and AI applications.

This represents a profound evolution from prior specialized roles, collapsing boundaries to enable faster iteration, reduced coordination overhead, and greater individual impact in a high-stakes domain where physical-world connectivity meets enterprise-scale intelligence.

Roles Combined and Relation to Prior Positions
The Full-Stack Builder integrates the following disciplines, which were historically distributed across separate teams:

• Product Management: Previously a dedicated role focused on market needs, prioritization, roadmaps, and metrics definition. Now embedded to ensure tight alignment between vision and execution.
• Program Management / Delivery Coordination: Once handled by program managers overseeing timelines, dependencies, and cross-functional synchronization. Now internalized to support autonomous, rapid delivery cycles.
• UX/UI Design: Traditionally the domain of specialized designers creating wireframes, prototypes, and interaction patterns. AI-assisted tools now enable builders to own intuitive, user-centric interfaces for dashboards, mobile apps, and operational controls.
• Front-End Engineering: Focused on client-side technologies (e.g., responsive web applications, real-time visualizations of asset tracking data). Now part of end-to-end ownership.
• Back-End Engineering: Encompassing APIs, data processing, scalable cloud services, IoT data ingestion, event-driven architectures, and integration with hardware/firmware layers. This remains core but is augmented by AI to handle complexity efficiently.
• AI/ML and Platform Integration: Incorporating agent-based intelligence, predictive analytics, and dynamic workflows—elevating the role to include orchestration of AI-driven features unique to Trackonomy’s Sentient platform.

In contrast to traditional full-stack developers (who focused primarily on coding across front- and back-end), this position expands scope to include strategic product definition, user research, design authority, and program-level execution. It differs from classical product owners or architects by demanding hands-on implementation across the stack, empowered by AI to manage what once required large teams.

Key Responsibilities

• Own end-to-end development of platform features, such as real-time asset visibility dashboards, autonomous remediation workflows, predictive alerting systems, or customer-specific ERP extensions.
• Define product vision, user requirements, success criteria, and prioritization for assigned capabilities, grounded in supply chain and operational realities.
• Conduct rapid prototyping, user validation, and iteration using AI-accelerated design and development tools.
• Architect and implement full-stack solutions, including intuitive front-end interfaces for operational insights, robust back-end services for processing IoT telemetry, secure APIs, data models, and integrations with Trackonomy’s hardware ecosystem.
• Leverage AI agents for code generation, debugging, automated testing, UI prototyping, and reasoning over complex operational scenarios.
• Manage delivery timelines, technical dependencies, risk mitigation, and deployment to production environments with high reliability standards.
• Ensure solutions meet stringent requirements for scalability, security, low-latency real-time processing, and compliance in regulated industries (e.g., healthcare, logistics).
• Collaborate in small, high-velocity pods to deliver customer value rapidly while upholding quality, performance, and innovation standards.
• Contribute to evolving AI-native development practices tailored to Trackonomy’s mission of connecting and intelligentizing the physical world.

Required Background and Qualifications
To succeed in this demanding, multifaceted role, candidates must demonstrate proven versatility across multiple domains, combined with strong AI fluency and domain affinity:

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a closely related field (or equivalent demonstrated experience).
• At least 7–10 years of professional experience, with substantial hands-on contributions in at least three of the following: product management, UX/UI design, front-end development, back-end/systems engineering, IoT/platform development, or AI/ML application building.
• Track record of independently owning and shipping complete features, products, or customer solutions from concept through production, with measurable business or operational impact.
• Strong technical proficiency in modern stacks relevant to enterprise IoT and real-time platforms (e.g., TypeScript/JavaScript, React or equivalent frameworks, Node.js/Python/Go, cloud-native services such as AWS/Azure/GCP, databases including time-series and NoSQL, event streaming technologies).
• Practical experience with IoT ecosystems, sensor data processing, real-time analytics, or supply chain/logistics applications is highly desirable.
• Demonstrated mastery of AI-augmented workflows (e.g., GitHub Copilot, agentic tools, LLM-based reasoning, automated testing frameworks) to achieve 5–10x productivity gains.
• Excellent systems thinking and ability to reason across hardware-software boundaries, data flows, user experience, and business outcomes.
• Superior problem-solving, communication, and collaboration skills, with the capacity to articulate complex trade-offs and decisions clearly.

Preferred Qualifications

• Prior experience in supply chain visibility, logistics technology, cold chain monitoring, asset tracking, or enterprise resource planning (ERP) systems.
• Exposure to agent-based AI architectures, edge intelligence, or embedded systems integration.
• Portfolio showcasing end-to-end ownership of shipped IoT/platform features.
• Familiarity with DevOps, CI/CD, scalable microservices, and security best practices in mission-critical environments.

What We Offer
At Trackonomy, this role positions you at the forefront of redefining operational intelligence in the connected world. You will operate as an empowered builder, directing AI capabilities to solve pressing global challenges with unprecedented speed and precision. Join a mission-driven unicorn recognized by the World Economic Forum, where your contributions directly advance end-to-end visibility, autonomous operations, and productivity for enterprises worldwide.

Trackonomy is an equal opportunity employer committed to fostering diversity, equity, and inclusion.

Who are we and why should you join us?

BetterHelp is on a mission to remove the traditional barriers to therapy and make mental health care more accessible to everyone. Founded in 2013, we are now the world’s largest online therapy service, providing affordable and convenient therapy across the globe. Our network of over 30,000 licensed therapists has helped millions of people take ownership of their mental health and change their lives forever. And we’re not stopping there – as the unmet need for mental health services continues to grow, BetterHelp is committed to being part of the solution.

As an AI Extern at BetterHelp, you’ll join a diverse team of licensed clinicians, engineers, product pros, creatives, marketers, and business leaders who share a passion for expanding access to therapy. And as a mental health company, we take employee mental health just as seriously as we do our mission. We deeply invest in our team’s well-being and professional development, because we know that business and individual growth go hand-in-hand. At BetterHelp, you’ll carve your own path, make an immediate impact, and be challenged every day – with a supportive community behind you the whole way.

What are we looking for?

BetterHelp is looking for an AI Extern to help us scale and increase our impact. You will use data to drive insight into the product and business. The ideal candidate would have experience/exposure to analyzing large and complex data sets related to web products. You'll be doing plenty of data wrangling and post-hoc analysis, both to support product improvements, marketing efficiency, and business decisions.

What will you do?

• Language Model Optimization: Engage in the refinement and enhancement of language models, including fine-tuning and retraining to meet specific requirements.
• Cross-Functional Collaboration: Actively collaborate with the product and development teams to conceptualize and design effective machine learning models and algorithms tailored to our products' needs.
• Product Enhancement Partnership: Work closely with product managers, initiating and implementing proactive strategies to elevate the functionality and user experience of our products.
• Data Handling Expertise: Handle extensive text data, demonstrating proficiency in managing, analyzing, and deriving insights from large datasets.
• Coding for Production: Develop and maintain production-ready code, ensuring robustness and efficiency. Collaborate with the DevOps and ML-Ops teams to integrate machine learning models seamlessly into production environments.
• Database Proficiency: Write and optimize SQL queries, showcasing your ability to interact with and manipulate databases effectively.
• Team Dynamics and Impact: Thrive in a team-oriented environment, contributing positively to the team spirit. Enjoy a fun and dynamic work culture while taking pride in developing a world-class product that significantly impacts people's lives

What will you NOT do?

• You will NOT worry about "runway", "cash left", or "how much time we have until the next round". We have the startup DNA but we're fully backed and funded, all the way to success.
• You will NOT be confined to your "job". You will get involved in product, marketing, business strategy, and almost everything we do.
• You will NOT be bogged down by office politics, ego, or bad attitude. Only positive, pleasure-to-work-with people are allowed here!
• You will NOT get yourself burned out. We work hard but we believe in maintaining a sustainable work/life balance. Really.

Can I work remotely?

Yes. We operate on PST and candidates in any time zone are welcome to apply. 

Requirements

• Currently enrolled in or recently graduated from a Master’s or PhD program in a quantitative discipline such as Computer Science/Engineering, Statistics, Mathematics,Operations Research, or Engineering 
• Completed coursework in NLP and LLM
• Deep understanding of neural networks and deep learning and generative AI
• Familiarity with reinforcement learning
• Experience building predictive models and causal inference models
• Familiarity with generative AI
• Experience analyzing large and complex data sets
• Experience using tools like Pytorch (preferably) or Tensorflow
• Excellent communication skills, with the ability to simplify complex topics and communicate technical ideas to non-technical audiences

Bonus (Great to have but not required)

• Experience analyzing two-sided marketplaces
• Experience with B2C, marketplace products
• Experience with BI tools like Tableau and Looker
• Experience with inference models

Benefits

• The chance to build something that changes lives – and that people love
• An awesome community of co-workers
• Meaningful projects: Apply your education to real-world challenges through hands-on, impactful work that is both rigorous and rewarding.
• Growth & development: Expand your skills through mentoring, job shadowing, lunch & learns, and hands-on project work that supports your personal and professional growth.
• Dedicated support: Benefit from a manager and mentor who will provide ongoing guidance and support throughout your internship.

The hourly rate for this position is $50 - $60 per hour.

At BetterHelp we thrive on difference and individuality, and as part of the Teladoc Health family, we are proud to be an Equal Opportunity Employer. We never have and never will discriminate against any job candidate or employee due to age, race, ethnicity, religion, sex, color, national origin, gender, gender identity, sexual orientation, medical condition, marital status, parental status, disability, or Veteran status.