Who we are

About Stripe 

Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career.

About the organization 

Stripe Infrastructure is responsible for the reliability, scale, performance, and cost of Stripe’s systems and the productivity and sentiment of Stripe’s people. 

You may work on a wide variety of critical business areas including: 

• Core Infrastructure - We’re the home for Stripe's critical tier0 infrastructure systems (Compute, Networking, DocumentDB, Distributed Caching and High assurance engineering). We build the foundational platform for Stripe products and services to allow them to operate at scale. We drive reliability, availability, efficiency and scalability of these systems.
• Developer Infrastructure - We’re responsible for the productivity of all developers at Stripe. Ensure Stripe’s engineers have a reliable, fast, and easy-to-use inner dev loop to maximize productivity while building everything from low-latency microservices to large-scale data pipelines and machine learning models
• Data Infrastructure -  We’re responsible for offering data serving infrastructure spanning across data warehouse analytics, streaming analytics and search capabilities. The stack is supported by a collection of internally developed large scale distributed services and several popular open source technologies like Trino/Presto, Apache Pinot, Hive Metastore, ElasticSearch etc. The systems we own support all of the data serving needs of high scale services and thousands of individual Stripes across the company. 
• Admin Platform - We empower Stripes to quickly build secure and delightful internal products in service of their users.
• Service Platform - We enable engineering teams at Stripe to easily write and ship useful services that correctly, reliably, and efficiently leverage platform capabilities.
• Developer Productivity AI - We're responsible for doubling Stripe's engineering velocity through effective use of LLMs. We own Minions, Stripe’s one-shot, end-to-end coding agents. 

Team Matching: exact team matching for one of the subteams will begin during final stages. Please note we may also consider you for different orgs based on your experience, location, etc. More information on our team matching process can be found here.

What you’ll do

You will work on projects that span technologies, systems, and processes where you will design, build, test, and ship great code every day.

Responsibilities

• Build a great customer experience for internal and external Stripe teams using our infrastructure
• Participate in roadmap planning and prioritization
• Deliver value through a strong collaborative approach with multiple customers and stakeholders across Stripe
• Debug production issues across services and several levels of the stack

Who you are

We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.

Minimum Requirements 

• Strong software engineering skills and a passion for one of the areas above.
• Ability to write high quality code (in programming languages like Go, Java, C/C++ etc)
• 2-12+ years of professional hands-on software development experience, able to write well-factored algorithms and have experience with commonly used data structure and algorithms
• Hands-on experience contributing to or building large scale distributed systems
• Strong collaboration skills, can work across workstreams within your team and contribute to your peers’ success
• Customer obsession, ability to articulate and represent customer experience in various forums to drive the right outcome
• Have the ability to thrive on a high level of autonomy, responsibility, and think of yourself as entrepreneurial

Preferred Qualifications

• Experience optimizing the end to end performance of distributed systems
• Focuses on the needs of our users, both internal and external
• Hold yourself and others to a high bar when working with production

The mission of our Solution Engineering team at Gong is to serve as trusted partners, advising on complex workflows and guiding customers toward an AI-first approach to their go-to-market strategy, ultimately helping them achieve their desired business outcomes.

As a Lead Solution Engineer on the team, you will be instrumental in creating raving fans among our prospects and customers. Your focus will be on helping them understand how our platform can drive their strategic business initiatives across the organization. 

RESPONSIBILITIES

• Work alongside Sales and Customer Success as the ultimate product expert and account team technical advisor.
• Thoroughly understand all aspects of the Gong platform in order to explain and demo the technology to all types of users.
• Be the trusted advisor to both prospects and customers to ensure they get the correct business outcome and value from our Gong technology, including business value quantification.
• Assist prospects and customers with business assessments (POCs, Pilots).
• Craft content to show customers how to leverage Gong for specific use cases.
• Execute the build and delivery of outcome-based demos and solution architecture diagrams for customers that have highly complex use cases.
• Solution complex business and technical requirements and explain them in simple terms.
• Assist with RFPs and questionnaires in the context of sales cycles.
• Help eliminate bottlenecks by working cross-functionally (Sales, Customer Success, Support, Product Management, Engineering) in order to get deals across the line.
• Partner with and support Marketing on demand gen activities (webinars, conferences, events).
• Contribute reusable assets to the Sales Engineering team and the company at-large.
• Collaborate closely with Product Marketing, Product Management, and Engineering to share voice of the customer feedback in order to influence our product roadmap and GTM strategies.

QUALIFICATIONS 

• 8+ years of customer facing experience in a solution engineering role (pre-sales) or a combination of solution engineering and other relevant work experience.
• Experience with sales technology: CRMs, cloud architecture, or telephony / web conference systems.
• Experience with data flows, AI & ML concepts, analytics, APIs, webhooks, or JSON is a plus.
• Understanding of security and privacy pertaining to SaaS systems.
• Understanding of key sales personas and workflows (including forecasting and prospecting) within a GTM organization.
• Excellent verbal and written communication skills.
• Strong interpersonal and teamwork skills.
• Able to make the complex sound simple!

PERKS & BENEFITS 

• We offer Gongsters a variety of medical, dental, and vision plans, designed to fit you and your family’s needs.
• Wellbeing Fund - flexible wellness stipend to support a healthy lifestyle.
• Mental Health benefits with covered therapy and coaching.
• 401(k) program to help you invest in your future.
• Education & learning stipend for personal growth and development.
• Flexible vacation time to promote a healthy work-life blend.
• Paid parental leave to support you and your family.
• Company-wide recharge days each quarter.
• Work from home stipend to help you succeed in a remote environment.

The target OTE for these positions is $205,000-$220,000.

Compensation is based on factors unique to each candidate, including, but not limited to, job-related skills, qualification, education, experience, and location. At Gong, we have a location-based compensation structure, which means there may be a different range for candidates in other locations. The total compensation package for this position, in addition to base compensation, may include incentive compensation, bonus, equity, and benefits. Some of our sales compensation programs also offer the potential to achieve above targeted earnings for those who exceed their sales targets. 

We are always looking for outstanding Gongsters! So if this sounds like something that interests you regardless of compensation, please reach out. We may have more roles for you to consider and would love to connect.

We have noticed a rise in recruiting impersonations across the industry, where scammers attempt to access candidates' personal and financial information through fake interviews and offers. All Gong recruiting email communications will always come from the @gong.io domain. Any outreach claiming to be from Gong via other sources should be ignored.

Gong is an equal-opportunity employer. We believe that diversity is integral to our success, and do not discriminate based on race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, military status, genetic information, or any other basis protected by applicable law.

To review Gong's privacy policy, visit https://www.gong.io/gong-io-job-candidates-privacy-notice/ for more details.

Role Summary

We’re looking for a Digital Content & AI Automation Manager to lead our transition to 'Vibe Marketing.' Inspired by the shift toward Vibe Coding, we want to bridge the gap between creative intent and digital execution. You’ll move Okta away from manual tickets and rigid CMS forms toward an agentic, self-service model—building the tools that allow marketers to describe a goal in natural language and see it manifest across our digital ecosystem.

This is a test, learn, build, iterate role. You aren't just managing a stack; you’re building an autonomous engine that empowers every marketer to be a creator.

What You’ll Actually Do

• Build the "Vibe Marketing" tools: Create the workflows and agentic layers that allow non-technical stakeholders to manage and scale digital content across its entire lifecycle using natural language and AI assistance.
• Develop Agentic Support Models: Prototype and deploy AI agents that act as "co-pilots" for Marketing Managers—handling everything from automated tagging and metadata to complex distribution across our headless ecosystem.
• Architect Self-Service Systems: Reduce the "time-to-live" by building modular, reusable content structures that agents can manipulate, moving us beyond the constraints of traditional platforms like Adobe Experience Manager.
• Operate Like a Lab: Run rapid experiments with emerging AI tools and automation platforms. Build scrappy prototypes—not just strategy decks—to prove that "vibe-based" creation works at enterprise scale.
• Partner Across Teams: Bridge the gap between "what if" and "here’s how," working with Marketing, Engineering, and Digital teams to turn agentic concepts into production-ready workflows.

What We’re Looking For

• The "Vibe" Mindset: You understand the shift from "doing the work" to "directing the agents." You’ve followed the Vibe Coding movement and are itching to apply it to Marketing Tech.
• 4–8 Years of Experience: You’ve seen the limitations of legacy CMS architectures and are ready to bypass those bottlenecks by building a modern, agent-led content supply chain.
• Hands-on AI & Automation: You don't just prompt; you build. You have experience with APIs, MCP, LLM orchestration, and connecting tools to create seamless loops.
• Technical Fluency: You aren't a full-stack engineer, but you understand how to navigate enterprise complexity—you're comfortable with structured content, and the logic of how data flows between a headless CMS, an LLM, and the front-end.

#LI - Hybrid

P24086_3333054

Your Role

We're seeking an experienced, automation-focused Quality Assurance Engineer II to join our Mobile team to help us deliver high-quality products. This team develops specialized mobile applications designed to manage and control the Hudl smart camera systems. It allows coaches and administrators to automate the recording and uploading of sports videos for indoor and outdoor venues without needing a dedicated camera operator. Your primary mission will be to be the testing expert within your cross-functional squad, ensuring the delivered product meets the highest standards of quality, reliability, and performance. You will actively guide technical testing discussions and challenge the team to maintain high standards.

In this position, you’ll:

• Own testing. Lead the squad's testing efforts, using your customer and system understanding to ensure our products meet and exceed user expectations.
• Automate. By aligning our processes with development speed, you’ll make informed decisions on what, how, and when to automate.
• Collaborate. You’ll be an integral part of a cross-functional team, working closely with coworkers across Engineering, Product, Design, and Scrum, all to ensure the delivery of high-quality products.

Location

We’re looking to hire near our offices in Omaha and Lincoln, Nebraska, but we’ll consider remote candidates in Kansas City, Chicago, Boston, Austin or Dallas.

Must-Haves

• Experienced. You have 2+ years of software testing experience and a strong understanding of the product life cycle.
• Technically proficient. You have hands-on experience with iOS and Android mobile app automation and approach testing with a strong customer and user-experience focus.
• A natural problem solver. You think outside the box to find creative ways to break software and can navigate shifting deadlines in a fast-paced environment.
• A team player. You default to trust and work effectively with global teams, using your communication skills to build empathy and alignment.

Nice-to-Haves

• Contract Testing Exposure Familiarity with the concepts of contract testing, with exposure to common tools (e.g., Pact), particularly for validating API and backend service compatibility.
• AI Tool Exposure. Curiosity and exposure to leveraging AI tools (such as LLMs, specialized coding assistants, or test data generators) to increase efficiency in documentation, test case creation, or initial failure diagnosis.
• Sports knowledge. You are passionate about American Football and are keen to learn more.

Our Role

• Champion work-life harmony. We’ll give you the flexibility you need in your work life (e.g., flexible vacation time, company-wide holidays and timeout (meeting-free) days, remote work options and more) so you can enjoy your personal life too.
• Guarantee autonomy. We have an open, honest culture and we trust our people from day one. Your team will support you, but you’ll own your work and have the agency to try new ideas. 
• Encourage career growth. We’re lifelong learners who encourage professional development. We’ll give you tons of resources and opportunities to keep growing.
• Provide an environment to help you succeed. We've invested in our offices, designing incredible spaces with our employees in mind. But whether you’re at the office or working remotely, we’ll provide you the tech stack and hardware to do your best work.
• Support your mental and physical health. We care about our employees’ wellbeing. Our Employee Assistance Program, employee resource groups and fitness partner Peerfit have you covered.
• Cover your medical insurance. We have multiple plans to pick from to ensure you’ll have the coverage you (and your dependents) want, including vision, dental, fertility healthcare and family forming benefits.
• Contribute to your 401(K). Yep, that’s free money. We’ll match up to 4% of your own contribution.

Compensation

Okta- Solutions Engineer- SLED

The Solutions Engineer Team

We believe Solutions Engineers at Okta are involved in all stages of the customer’s digital transformation.  Solutions Engineers are experienced using presentations, email, phone and social media to connect with customers virtually and in-person. We are looking for great teammates who can build and deliver sales presentations and customized product demonstrations to help educate Okta’s Customers (everyone from developers to product managers to C-level executives) on best practices during their cloud security technology journey. We believe Okta’s Solutions Engineers empathize with Customers and quickly discern their true technical needs by asking detailed, clarifying questions while presenting solutions that specifically address those needs. Okta Solution Engineers have the rare combination of technical acumen and business insight; in a career where you can utilize both. As a Solutions Engineer at Okta, you will further develop each of these skills by advising a diverse set of customers on the value they will gain by using Okta’s Identity Platform.

The Solutions Engineer Opportunity

Reporting to the Senior Manager of Solutions Engineers, the Solutions Engineer is a functional business consultant,  with a passion for technology and the advanced ability to develop, position and demonstrate product-specific solutions during sales cycles, while achieving quarterly and annual sales goals for an assigned territory.

What you’ll be doing 

• Work alongside the sales team as the technical and domain expert of a customer-facing sales team to help Customers understand the value of Okta’s solutions
• Understand customer challenges and business issues and provide product demonstrations to align our solutions with customer needs
• Answer product feature and technical questions from customers, partners and Okta colleagues
• Plan and deliver Proof Of Concepts for customers who have more complex use cases, collaborating with other Okta engineering teams as needed
• Provide feedback to product management about product enhancements that can address customer needs and provide additional value
• Share and learn best practices and re-usable assets with other Solutions Engineers to enhance the quality and efficiency of the team
• Stay current on competitive analysis and market differentiation
• Support marketing events including executive briefings, conferences, user groups, and trade shows
• At times, be asked to learn and lead your team as a subject matter expert (SME) with various product solutions and/or competitive knowledge

What you’ll bring to the role

• 3-5+ years pre-sales engineering experience.
• A passion to serve the Customer, demonstrated in a customer-facing role, such as consulting or support, but ideally in a pre-sales capacity.
• An ability to quickly communicate complex ideas around a technical topic, ideally on the fly, using a whiteboard.
• Deployed apps in cloud platforms: AWS, Azure, GCP, Vercel, etc.
• Experience with at least one standard network security protocol. (eg. OAuth, OAuth2, SAML, LDAP)
• Experience working with REST APIs, API Gateways, and SDKs
• Hands-on experience in one or more of the following areas: web (JavaScript, HTML, frontend frameworks) development, mobile (iOS, Android) development, backend (Java, C#, Node.js, Python, PHP, Ruby) development, IP-based real-time communications
• An understanding of core security concerns within a typical application. (password hashing, SSL/TLS, encryption at rest, XSS, XSRF)
• Exceptional communicator.
• Confident dispensing knowledge to a highly skilled and experienced audience, presenting to large rooms filled with experts in the field
• Territory management skills, including pipeline building and working with Sales counterparts to guide execution excellence
• Typically 25% travel.
• Bachelor's degree in Engineering, Computer Science, MIS or a comparable field is preferred.

You might also have (not mandatory):

• Hands-on experience with Generative AI or LLM technology such as LangChain, GenKit, LlamaIndex, etc.
• Experience integrating with microservices, data lakes, or customer data platforms.
• Developed ReBAC or Fine Grain Authorization models
• Diagramming experience for user journey flows, complex architecture diagrams, etc.

#LI-San Francisco

#LI-RZ

P24424_3330263

The Team + The Role

Pendo’s Customer Engineering team is the technical backbone of the pre- and post-sales customer motion. The team brings together work that has historically sat across Customer Success, Technical Account Management, and Solutions Engineering into one full-lifecycle technical owner. Customer Engineering helps customers connect technical execution to business outcomes and realize the value of their investment in Pendo.

As a Senior Customer Engineer, you own strategic and complex Enterprise accounts across acquisition, implementation, adoption, expansion, and escalation. You lead technical strategy for complex deployments, resolve ambiguous customer challenges, and partner closely with account teams to drive retention, expansion, and customer value. Your impact extends beyond your own accounts through playbooks, coaching, repeatable fixes, and workflow improvements that raise the capability of the broader Customer Engineering team.

This is a remote role supporting a central region.

What this looks like day-to-day

• New customer acquisition and selling: Partner with Account Directors on pre-sales motions for new customer acquisition, product expansion, and expansion across lines of business. You identify customer pain, craft and deliver tailored demos, and lead technical evaluations through requirements gathering, success criteria, installation guidance, and hands-on workshops.
• Complex implementations and value realization: Lead onboarding for strategic customers, including planning, implementation, integrations, and training. You build customer-specific implementation playbooks, guide complex deployments with executive visibility, and ensure customers realize value during onboarding and over time.
• Adoption, expansion, and growth: Identify opportunities to expand adoption across underutilized features, untapped products, and new lines of business. When adoption stalls, you diagnose root causes, design a path forward, and connect technical work to measurable business outcomes.
• Technical escalation: Serve as an escalation point for complex technical challenges raised by other Customer Engineers. You resolve ambiguous problems with multiple variables and tradeoffs, involving Product or Engineering only when truly needed.
• Team capability building: Build playbooks, document repeatable fixes, coach peers, and improve how Customer Engineering work gets done across the team. You use AI tools to accelerate content creation, surface patterns across accounts, and share practical workflow findings with the broader team.
• Early account impact: Assess account health, risks, stakeholder relationships, and the highest-priority problems to solve within your portfolio. You establish trust with Account Directors and customer stakeholders, then independently lead complex customer interactions that move accounts forward.
• Quarterly business outcomes: Drive measurable improvement in customer health, retention, expansion, and technical resolution across strategic accounts. You contribute reusable frameworks, playbooks, or processes that other Customer Engineers use and become a trusted advisor to Account Directors on account health and technical strategy.

Who You Are

Beyond the qualifications, we hire through a specific lens. These aren't buzzwords; they're the things we'll actually look for in how you talk about your work.

You're a builder, not a maintainer.

You're most energized when there isn't a clear path yet, and you get to define it. You don't wait for direction; you identify gaps, shape solutions, and drive them forward. At Pendo, great Senior Customer Engineers don't just follow instructions; they operate as strategic advisors, influencing decisions, guiding stakeholders, and elevating how we work.

You're AI-curious - genuinely.

You're not using AI tools occasionally. You're rewiring how you work around them. You're faster, sharper, and more prolific because of it, and you bring that energy to everything — how you approach your work, how you prep, how you communicate, how you think. We want someone who sees AI as a multiplier, not a shortcut.

Must-haves

• 5 to 8 years of experience in a customer-facing technical role such as Sales Engineering, Solutions Engineering, Technical Account Management, Customer Engineering, implementation, professional services, or solutions architecture.
• Deep hands-on experience with web technologies including HTML, CSS, JavaScript, and REST APIs, with the ability to architect and troubleshoot complex front-end implementations.
• Proven experience managing strategic accounts with executive-level stakeholders, competing priorities, and complex technical or business requirements.
• Demonstrated ability to solve ambiguous problems involving multiple variables, constraints, and tradeoffs.
• Experience connecting technical execution to business outcomes such as retention, expansion, ROI, and value realization.
• Hands-on use of AI tools for account research, content creation, or workflow automation, with demonstrated integration into day-to-day work rather than light experimentation.
• Experience mentoring or coaching more junior technical team members.

Nice-to-haves

• Experience with Pendo, digital adoption platforms, product analytics, or in-app experience tooling in an enterprise environment.
• Hands-on experience with mobile app development, including Swift, Android, or React Native.
• Familiarity with data architecture, AI or machine learning concepts, or advanced analytics instrumentation.
• Track record of building reusable frameworks, playbooks, or processes that were adopted by a broader team.

About Pendo

Pendo was founded in 2013 by former product managers, who combined their heads and hearts to build something they wanted but never had as product managers: a simple way to understand and attack what truly drives product success. Our mission is to improve society's experience with software. Come join one of the fastest-growing startups, supported by best-in-class institutions like Battery Ventures, Salesforce Ventures, Spark Capital and Meritech.

Pendo Core Values: Bias to Act, Hone Your Craft, The Team is Pendo, and Maniacal Focus.

Location: Remote

Compensation: The expected On-Target Earnings (OTE) range for this role is $193,393 - $241,742, with a 70/30 base-to-variable compensation split.

Benefits: Pendo offers highly competitive United States benefits, including employer-heavy coverage with $0 premium options, strong 401(k) match, equity, and flexible time off.

EEOC: We are an equal opportunity employer and believe having diverse teams where everyone brings their whole self to Pendo is key to our success. We welcome all people of different backgrounds, experiences, abilities and perspectives.

Accessibility: Pendo is committed to working with, and providing access and reasonable accommodation to, applicants with mental and/or physical disabilities. If you think you may require an accommodation for any part of the recruitment process, please send a request to: accommodation@pendo.io. All requests for accommodations are treated discreetly and confidentially, as practical and permitted by law.

We are seeking a Senior Manager of GTM Operations to lead AI and horizontal platform programs within the Core Operations team. This role will shape how our global GTM organization becomes more productive, scalable, and AI-enabled—by defining high-impact use cases, driving cross-functional programs, and ensuring successful adoption of new capabilities.

Core Operations sits at the intersection of GTM strategy, systems, and execution. This leader will act as both the orchestrator of GTM AI programs and a GTM process engineer—rethinking and redesigning how work gets done across the customer lifecycle, then applying AI and platforms to streamline, standardize, and scale those processes.

What You’ll Do

Shape GTM AI Strategy & Drive Programs

• Define the GTM AI and platforms strategy for Core Operations, focused on improving productivity and enabling revenue and customer outcomes
• Translate business needs into prioritized AI use cases and requirements, partnering with IT to inform the broader technology roadmap
• Own and drive GTM AI programs end-to-end—from problem definition and business case through rollout and impact measurement
• Lead change management for new AI capabilities, ensuring strong adoption across Sales, Customer Success, Partners, and other GTM teams
• Establish and oversee data governance processes and programs that enable scalable, trusted AI solutions
• Run Field Advisory Board on GTM use of AI & horizontal platforms. Serve as the primary bridge between GTM leadership and IT, ensuring alignment on priorities and outcomes

Act as a GTM Process Engineer

• Analyze and redesign end-to-end GTM processes to reduce friction, eliminate manual work, and improve consistency
• Identify where AI and automation can fundamentally improve workflows—not just layer on top of existing inefficiencies
• Standardize global processes while allowing for necessary regional or segment variation
• Ensure process design, systems, and data models are tightly aligned to enable scalability and high-quality execution

Lead AI Tool Adoption & Internal Productivity

• Rapidly deploy and scale AI tools (e.g., Glean agents, LLM platforms such as Claude, and emerging technologies) to solve high-impact operational challenges
• Drive AI-powered improvements across GTM Ops workflows (e.g., territory planning, forecasting support, ticket deflection, reporting automation)
• Continuously surface opportunities to improve both internal Ops productivity and frontline GTM effectiveness

Establish GTM AI Intake, Evaluation & Scaling

• Build and run a centralized intake and prioritization model for AI use cases across GTM
• Develop frameworks to assess impact, feasibility, risk, and scalability
• Define clear execution paths (Ops-led vs. IT-partnered) and ensure successful pilots are scaled into durable solutions

Drive AI Productization, Data & Governance

• Establish the foundations for reusable, enterprise-grade AI solutions, including a centralized library of agents and use cases
• Partner with Data and IT teams to ensure solutions are built on high-quality, governed data
• Align use cases to the right platforms and infrastructure (e.g., Glean, Claude, and other tools), without directly owning the tooling roadmap

Upskill the Organization

• Develop the GTM Operations team into AI-fluent operators who can identify, assess, and scale high-impact opportunities
• Build training, frameworks, and hands-on learning programs to increase AI adoption and capability
• Foster a culture of experimentation, rapid iteration, and continuous improvement

Drive GTM Productivity Through Transformation

• Design and enable AI-driven improvements to end-to-end GTM processes, reducing manual work and increasing consistency
• Lead cross-functional initiatives that connect strategy, systems, and execution
• Ensure solutions are scalable, aligned to global standards, and deliver measurable business impact

Partner Across the Business

• Act as a strategic partner to GTM leadership, IT, Data, and Enablement teams
• Ensure solutions solve the right business problems and are successfully adopted in the field
• Support ongoing optimization through feedback loops, performance tracking, and iteration

Elevate the Core Operations Function

• Improve the productivity and effectiveness of the GTM Operations organization through better prioritization, tooling, and ways of working
• Help position Core Operations as a strategic, AI-forward partner to GTM leadership

What We’re Looking For

• 7–12+ years in GTM Operations, Strategy & Operations, RevOps, or similar roles
• Proven experience redesigning business processes and leading cross-functional transformation programs
• Experience identifying, piloting, and scaling AI/automation use cases in business operations
• Strong understanding of end-to-end GTM processes (Sales, Customer Success, Partners, SAs)
• Experience partnering with IT, Data, and Engineering teams
• Ability to bring structure to ambiguity—building frameworks, roadmaps, and execution plans
• Strong stakeholder management and executive communication skills

What Sets You Apart

• Experience acting as a “process architect” or “process engineer” within GTM or operations environments
• Experience deploying AI tools (e.g., enterprise search, LLM platforms, workflow automation)
• Systems thinker who can connect process, data, and technology into cohesive solutions
• Ability to balance rapid experimentation with scalable, governed solutions

Why This Role Matters

This role will help transition our GTM organization from fragmented tools and manual processes to a cohesive, AI-enabled operating model. By rethinking how work gets done and applying AI in a structured, scalable way, this leader will unlock meaningful productivity gains and enable the business to grow more efficiently.

About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform, the most widely available, globally distributed database on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and over 60,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. 

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Req ID: 1273425819

The Team

Platform Engineering is the department within SRE that is responsible for a range of critical infrastructure and operational functions that support the broader engineering organization. Among these are our multi-cloud-provider Kubernetes infrastructure, networking, load balancing (including our public-facing edge and internal service mesh), and observability and alerting systems.

The Fleet Management team provides the core runtime environment that empowers our developers to build and ship products to delight our customers. We manage the end-to-end lifecycle of our Kubernetes fleet, alongside the critical components that ensure cluster reliability and security (e.g., CoreDNS, cert-manager, and Gatekeeper). As our infrastructure scales to support new use cases and products, we are spearheading a migration from Terraform-based Infrastructure as Code (IaC) to an Operator-driven lifecycle management model.

This role can be based out of our Austin, Boston, Los Angeles, New York City, Raleigh, or San Francisco offices, remotely in the United States region, or our European office in Dublin.

Responsibilities

• Contribute to developing and maintaining a scalable and secure runtime environment on top of Kubernetes that supports product needs across MongoDB
• Provide internal support for our Kubernetes ecosystem, partnering with engineering teams to help them solve domain-specific problems
• Participate in a 24/7 on-call rotation to resolve critical issues
• Prioritize blameless post-mortems and dedicate engineering time to systemic fixes, ensuring you aren’t paged for the same issue twice

You may be a good fit if you

• Have 6+ years of experience in software development and operating distributed systems
• Are proficient in Go, Python, or a similar language, with a strong commitment to code quality and testing practices (writing unit, integration, and E2E tests)
• Have deep experience using and extending containerization technologies, preferably Kubernetes
• Have a solid understanding of Linux operating system internals and networking concepts (e.g., filesystems, TCP/IP, DNS, TLS)
• Possess a customer focused mindset, treating internal developers as your primary users
• Have strong operational ownership, including a track record of debugging complex production issues and driving them to resolution
• Prefer automation over manual processes ("allergic to ops work")
• We are a small team of software engineers with a strong bias toward building software solutions to eliminate toil

Strong candidates may also have experience with

• Designing and implementing secure, multi-tenant runtime environments from first principles
• Proficiency with Kubernetes ecosystem tools such as Helm, Kustomize, Gatekeeper, Kyverno, and CRDs/Operators, CRI, CSI
• Expertise in cloud infrastructure platforms, including AWS, GCP, or Azure
• Proficiency in provisioning infrastructure using tools like Terraform, Crossplane, and AWS Controllers for Kubernetes (ACK)
• Advanced Linux systems internals and networking concepts specifically relevant to containers, such as namespaces and cgroups

About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform, the most widely available, globally distributed database on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and over 60,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. 

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Req ID: 426182

The Team

This role can sit in our NYC HQ on a hybrid basis, or it can be fully remote while working from a location based in either Eastern or Central time zones. We are looking for an experienced Senior Engineer for our SRE, Atlas team to support, maintain and grow the Atlas platform. As a senior SRE, you will be expected to be able to design & build complex systems, operate with autonomy and act as owner for everything you do. 

The SRE Atlas team works alongside the various Atlas software engineering teams to provide expertise about running systems at scale, build new tooling and automation and perform essential maintenance of the Atlas fleet. 

This is an SRE team, which means you can expect a highly hands-on approach, tackling the technical challenges of implementing large scale solutions that have the ability to impact our customer’s most crucial workloads. 

Role Overview

We are seeking a talented Site Reliability Engineer (SRE) with a strong infrastructure background. This role requires engineers to have a customer-first mindset to ensure that everything we do results in a stronger product and a better experience for all Atlas customers. 

The ideal candidate should

• Have 5+ years of experience running critical systems at scale
• Value efficiency in processes and operations, and display a preference for automation over manual processes (“allergic to ops work”)
• Be familiar with a major cloud provider (AWS, Azure, or GCP) and possess the ability to build and operate systems in a multi-cloud environment
• A strong understanding of how to run a large scale Linux environment, including low level fundamentals 
• Firm grasp of at least one modern programming language, beyond basic scripting (Go, Ruby, Python)
• Solid understanding of web and network protocols and standards (HTTP, TLS, DNS, etc)

Special Requirements:

• Be a US Citizen

Expectations

• Participate in the development of a reliable and resilient multi-cloud platform that hosts business critical applications for a wide & varied range of customer applications
• Collaborate with service-owning teams to provide internal support, solve technical challenges and adapt or build tooling to solve novel use cases in a generic fashion
• Participate in a 24/7 on-call rotation to swiftly resolve issues related to any disruption of our customer facing Atlas fleet, ensuring minimal disruption and high availability

About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform—the most widely available, globally distributed database on the market—helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and nearly 60,000 customers—including 75% of the Fortune 100 and AI-native startups—relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. 

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Req ID: 426187

The Team

Platform Engineering is the department within SRE that is responsible for a range of critical infrastructure and operational functions that support the broader engineering organization. Among these are our multi-cloud-provider Kubernetes infrastructure, networking, load balancing (including our public-facing edge and internal service mesh), and observability and alerting systems.

The Fleet Management team provides the core runtime environment that empowers our developers to build and ship products to delight our customers. We manage the end-to-end lifecycle of our Kubernetes fleet, alongside the critical components that ensure cluster reliability and security (e.g., CoreDNS, cert-manager, and Gatekeeper). As our infrastructure scales to support new use cases and products, we are spearheading a migration from Terraform-based Infrastructure as Code (IaC) to an Operator-driven lifecycle management model.

This role can be based out of our Austin, Boston, Los Angeles, New York City, Raleigh, or San Francisco offices, or remotely in the United States region.

Responsibilities

• Manage a team of 6-8 engineers, fostering a positive culture, handling career growth and performance conversations, and proactively removing blockers
• Help develop a clear technical vision and comprehensive roadmap for our runtime environment, balancing long-term strategic infrastructure goals with immediate engineering needs
• Contribute through light hands-on technical work, such as leading architectural design reviews, reviewing PRs, and stepping in to guide the team through complex operational challenges
• Act as the primary liaison for the Fleet Management team, collaborating closely with other engineering leaders to ensure platform alignment and manage stakeholder expectations

You may be a good fit if you:

• Have 10+ years of experience working on software and operating distributed systems, with 2+ years managing engineering teams
• Possess a customer-focused mindset, treating internal developers as your primary users
• Value efficiency in processes and operations, and have a track record of optimizing team workflows
• Prefer automation over manual processes ("allergic to ops work"), fostering a culture of building software solutions to eliminate toil
• Have deep technical familiarity with Kubernetes ecosystems, containerization technologies, and modern IaC tooling (e.g., Terraform, Crossplane, or Operators) so you can effectively guide the team's technical decisions
• Excel at translating complex business and engineering requirements into actionable, phased technical roadmaps
• Have a high level of empathy, responsibility, ownership, and accountability
• Excellent verbal and written technical communication skills

Strong candidates may also have experience with:

• Leading major architectural shifts, such as migrating teams from traditional IaC to Operator-driven lifecycle management
• Managing and scaling infrastructure across multi-cloud environments (AWS, GCP, or Azure)
• Designing secure, multi-tenant runtime environments at scale

About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform—the most widely available, globally distributed database on the market—helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and nearly 60,000 customers—including 75% of the Fortune 100 and AI-native startups—relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. 

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Req ID: 426152

Machine Learning Engineer – Inspire11

Elevens, as we call ourselves here, are curiously smart, purposefully scrappy, and dedicated to the highest standard of quality. By being true to ourselves and others, we create a respectful environment that enhances collaboration, drives growth through high expectations, and ensures alignment with our core values. Inspire11 is more than a modern business and technology consulting firm; we're a revolution. We work differently — and it shows. Every move we make is tied to measurable value, and our success aligns with our clients’ success. We partner to simplify the complex, solve sustainably, and stay ahead by continuously pushing our own thinking forward. Value creation isn't something we talk about — it's something we live, every day. 

At Inspire11, we're not just offering a job; we're providing a platform for you to transform the future. You'll feel right at home here if you think differently, build boldly, and lead with impact. We're a place where your unique perspective is valued, your boldness is celebrated, and your potential is unleashed. 

• Growth Through Challenge:  We hold ourselves to the highest standards of excellence and accountability. At Inspire11, we are committed to delivering exceptional results and empowering our employees to take ownership of their work and drive meaningful impact. You'll work alongside elite consultants who challenge you to expand your skills and think even more creatively. 

• The Autonomy to Do Your Best Work: Here, outcomes matter more than outputs. It's about the value we create. You'll have the autonomy to shape your work, drive decisions, and make an impact—not just for our clients but for your growth. You'll be challenged to think strategically, anticipate needs, and solve problems. Bold thinking, creative approaches, and challenging conventional wisdom are part of our DNA. Our clients rely on us to lead them into what's next. 

• Diverse Perspectives Driving Innovative Solutions: We champion inclusivity and authenticity, knowing that diverse perspectives drive better solutions. You'll be encouraged to bring your whole self to work, knowing that's where true innovation happens. We also believe that doing great work should be fun. Our culture thrives on energy, camaraderie, and appreciating the unique contributions that make Inspire11 an amazing place. Our teams get energy from being the best they can be. 

 What you can expect in this role: 

• Designing scalable machine learning infrastructure, including implementing CI/CD pipelines for model deployment
• Monitoring models in production
• Developing Generative AI solutions
• Ensuring security and compliance
• Preprocessing and analyzing datasets
• Developing and fine-tuning ML models to optimize for performance
• Communicating results to stakeholders 

Tools for success: 

• Exhibit strong software engineering principles
• Proficiency in cloud architecture (AWS, Azure, GCP)
• Familiarity with CI/CD and DevOps
• Expertise in data preprocessing and ML techniques
• Experience with model evaluation and libraries like TensorFlow, PyTorch
• Proven experience in ML engineering
• Strong programming skills (Python, R)
• Cloud services and infrastructure knowledge
• Agile methodologies understanding 

Inspire11 is unable to sponsor employment visas at this time. Applicants must be legally authorized to work in the U.S. at the time of application and throughout the duration of employment. 

Inspire11’s Privacy Policy: https://www.inspire11.com/privacy-policy/  

U.S. Compensation & Benefits  

Compensation at Inspire11 
Inspire11 follows Title VII of the Civil Rights Act of 1964, the Equal Pay Act of 1963, the Illinois Human Rights Act, the Illinois Equal Wage Act, and the Illinois Equal Pay Act of 2003. We believe that people performing the same role at the same level, with similar levels of ability or experience, should be similarly compensated. We also believe that the most critical factors driving compensation should be an Eleven’s skill, experience, performance, responsibility, and effort. We may also consider an employee’s length of service, relevant education, training, or certification, and the requirements of a specific job. We may also consider whether the cost of living or competition for talent in specific markets requires adjustments in compensation for employees in those markets. Our goal is to fairly compensate all our Elevens based on these factors within the Company’s financial ability.   

Compensation may be increased or decreased at Inspire11’s discretion based on an employee’s performance reviews, market conditions, and the Company’s financial performance. Inspire11 will always notify an employee in writing before any change is made to their compensation.  

Bonuses 
We may allow employees in Sales, Recruiting, or Leadership to earn periodic bonuses based on sales, revenue, client-specific or practice-specific targets. These targets are communicated to each eligible employee via offer letter or annual update. All such target-based bonuses are calculated based on the Company and an individual’s periodic performance and will only be awarded if: (a) the employee is meeting performance expectations and is an employee in good standing of the Company; (b) the target is met; and (c) the Company’s current financial performance and market conditions permit the bonus to be paid out. All periodic bonuses are discretionary and are earned only when paid out.   

Each year, the Company will decide whether the Company’s financial performance, market performance, and business realities allow it to create an annual bonus pool. If the Company decides that annual bonuses may be awarded, then the Leadership Team will grant annual bonuses to employees in good standing based on the same factors discussed in the previous paragraph while also considering employees’ diligence, performance, expertise, skill, judgment, and experience. To be eligible to participate in this annual bonus pool, an employee must be hired by no later than October 1st of the preceding year. Annual bonuses and merit increases may be prorated based on hire date. Employees eligible for target-based periodic bonuses are not eligible to participate in the annual bonus pool.   

Options or Other Equity in Inspire11 
Inspire11 has a legacy program that allowed certain high-performing employees to purchase shares of the Company through an affiliate. The Company also has a newer program that grants options annually to high-performing employees based on their performance reviews, their managers’ recommendation, and leadership approval. These options have a vesting period associated with them.  

Benefits 
Full-time employees are eligible for the following contributory benefits, where premiums are partially paid by the Company and partially by the employee:   

• Medical insurance plans, 
• Dental insurance plans, and  
• Vision insurance plans.  

Full-time employees are eligible for the following benefits provided wholly by the Company:  

• Short-term disability, providing for a benefit of 60% of an employee’s salary up to a maximum of $2,000 per week for up to 11 weeks after a 7-day waiting period; 
• Long-term disability, providing for 60% of an employee’s salary up to a maximum of $10,000 per month for the time period from the 91st day after a qualifying event through the earlier of the end of the disability or age 67; 
• Life insurance, providing for a benefit of two times the employee’s annual salary, up to a maximum payout of $400,000;   
• A connectivity stipend of $325 annually; 
• Employee Assistance Program, providing for confidential counseling sessions, 24-hour crisis support, online peer support groups, skills training, behavioral health coaching, initial free legal consultations (and discounted rates on referred lawyers), online legal forms, assistance with eldercare and parenting services, among other things.  

Full-time employees are also eligible to participate in the Company’s 401(k) plan, which allows employees to contribute to a standard or Roth IRA. According to a vesting schedule, the Company matches 100% of employee contributions up to 3% of an employee’s salary.  

Depending on eligibility and their elections, full-time employees may also have access to certain tax-advantaged savings accounts set up through the Company, into which employees contribute withheld funds:   

• Flexible savings accounts
• Limited-purpose flexible savings accounts  
• Healthcare savings accounts
• Dependent care savings accounts  
• Commuter benefit accounts  

Paid Time Off and Leave 
Inspire11 grants all eligible employees any statutory leave required by federal, Illinois, or other applicable law, such as FMLA, bereavement, sick leave, emergency leave, jury duty or witness leave, and VESSA leave.   

In addition, Inspire11 has a self-managed paid time off policy (PTO) that does not set predetermined upper limits on the amount of PTO an employee may take. All PTO must be requested in advance and approved by the appropriate supervisor to ensure client work can continue. All full-time employees are expected to take a minimum of one week of PTO each year.   

Inspire11 offers paid parental leave to full-time employees who have been with the company for at least one year. Birthing parents are eligible for up to 12 weeks of paid parental leave, while non-birthing parents are eligible for up to 6 weeks. Short-term disability (STD) benefits are also provided following childbirth. When combined with PTO and STD, birthing parents may receive a total of 18–20 weeks of paid leave. Lastly, Inspire11 has eight paid holidays.  

Other Benefits 
Inspire11 also maintains other programs that provide additional benefits to employees, such as:   

• Impact to 11: a charitable giving matching program where, after being employed by Inspire11 for a year, employees may request that a qualifying charity receive up to $500 in matching donations each year. 
• Professional development benefits for qualifying employees: a program allowing for reimbursement of certain course materials and costs on a discretionary basis for employees who have been at Inspire11 for at least 6 months, with supervisor’s approval. 
• Regular gifts of Inspire11 clothes, office items, and swag.  

Disclaimer 
This document applies only to the United States and to Inspire11 LLC, not our worldwide partners.  

Inspire11 reserves the right to change the benefits offered to employees in accordance with applicable law based on business needs, market conditions, and financial stability. Before changing any benefits, Company will notify all employees of the change and will update this document.  

EEOC 
Inspire11 is an Equal Opportunity Workplace and an Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status. If you need assistance or a reasonable accommodation during the application process, please contact us at hr@inspire11.com, or inform your recruiting partner.  

About the Role

We are looking for a Senior Solution Lead to join our high-performing Pre-Sales & Solution Strategy team. You will sit at the intersection of Sales, Delivery, Product, and Client Leadership, shaping the solutions we take to market and directly influencing multi-million-dollar outcomes.

This is not a “respond to the RFP and pray” role. This is a strategic, high-ownership, high-IQ seat where you:

• Shape the problem,
• Design the solution, and
• Influence how we win and deliver.

You will focus exclusively on large, complex opportunities valued at $1M+, where your problem-framing, technical depth, and storytelling materially impact win rates.

You will report to the Head of Pre-Sales & Solution Strategy and collaborate with a senior, globally distributed team across India, the US, and Europe.

Responsibilities:

What You’ll Own

1. Deal Shaping & Pre-Sales Architecture

• Translate ambiguous client goals into clear, compelling, technically credible solution architectures (Figma/Miro/Adobe)
• Lead discovery workshops, ask incisive questions, and define what a winning solution looks like—for the client and for us.
• Build decks, narratives, and pricing models that position us decisively above competitors. (Google/PP/Canva)
• Navigate seamlessly between C-level outcomes (business case, ROI, risk) and engineering deep dives (architecture, delivery approach, tradeoffs).
• Own the solution narrative end-to-end across EOI/RFI/RFP responses, orals, and executive briefings.
• Solution Estimating: Provide high level pricing estimates tied to value impact statements (ROI) for clients including software, hardware, cloud and tooling licensing for POC/MVP/Commercial models
  
  

2. Cross-Domain Solution Engineering

Own the solution across the full delivery lifecycle, spanning:

• Applications – modernization, greenfield engineering, platforms, integration
• Infrastructure – cloud infra, DevOps, SRE, infra automation
• Security – controls, IAM, governance, secure-by-design patterns
• Cloud – AWS / Azure / GCP architectures, migration strategies, optimization / FinOps
• Tooling- AI models, ISV licenses, tokens etc

You bring technical breadth with depth in at least one practice area and can credibly orchestrate end-to-end solutions.

A practical understanding of how AI cuts across these domains is essential, including:

• agentic automation across workflows and operations
• private AI stacks (RAG, governance, observability)
• model-integrated applications and copilots that augment existing systems

3. Go-To-Market & Productized Offerings

• Turn our capabilities into clear, differentiated, repeatable solutions and offerings.
• Collaborate with Product, Delivery, and Marketing to evolve our GTM playbooks and sales assets.
• Package reference architectures, POVs, and standard patterns based on real market demand.
• Capture learnings from deals and delivery to refine offerings and win themes.

4. Internal Collaboration & Leadership

• Partner closely with Sales on deal strategy, qualification, and pursuit plans.
• Align with Delivery Leaders to ensure proposed solutions are buildable, profitable, and differentiated.
• Contribute to sales enablement via reusable messaging, templates, and pricing frameworks.
• Act as a thought leader and mentor for junior solution engineers and architects.

What Success Looks Like

• You influence $6M+ in annual revenue through deals with TCV targets valued at $1M+.
• Stakeholders (Sales, Delivery, Clients) consistently rate your solutions as clear, differentiated, and client-aligned.
• Sales teams proactively pull you into strategic conversations because you “help deals close.”
• Delivery teams trust your architectures—and want to build them.
• You significantly enhance our GTM library with reusable assets, offerings, and standard patterns.
• Over time, you shape or lead 1–2 strategic offerings or solution themes for the company.

Who Thrives in This Role

We’re targeting top-tier pre-sales / solution engineering talent in India who demonstrate:

• Flexible thinking – can reshape a problem even when the client can’t articulate it clearly
• Structured reasoning – can break down complexity into options, tradeoffs, and recommendations
• Technical breadth + depth – strong grounding in apps, infra, security, and cloud, with a sharp view of how AI enhances each
• Storytelling ability – can communicate crisply to CXOs, procurement, and engineering teams
• Calm confidence – comfortable leading conversations amid ambiguity and pace
  Ownership mindset – thinks like an owner, not a vendor; cares about long-term value and delivery success

About You

The essentials:

• 7–12+ years in pre-sales engineering, solutions architecture, or consulting roles in IT services / SaaS / cloud / AI-led solutions
• Proven ability to influence or close $1M+ services deals (multi-tower or multi-year preferred)
• Hands-on understanding of services delivery, including SDLC, cloud migrations, modernization, architecture patterns, and infra operations
• Experience designing or positioning solutions with AI integration, agent workflows, automation, or model-enhanced apps (copilots, RAG systems, intelligent workflows)
• Ability to build defensible pricing models (T&M, fixed-price, managed services, outcome-based)
• Strong written and verbal communication skills in English; experienced presenting to senior stakeholders
• Comfortable working with distributed global teams across time zones

Not a must, but a plus:

• Hands-on experience with one or more major cloud providers (AWS, Azure, GCP)
• Familiarity with modern data and AI stacks (Snowflake, Databricks, vector DBs, LLM orchestration frameworks)
• Background in consulting-led environments (Big 4, global SIs, boutique consulting firms)
• Industry experience in BFSI, Retail, Manufacturing, Healthcare, or similar

At.Monks, we believe in fostering an environment where a diversity of perspectives can thrive. We proactively work to design hiring processes that promote equity and inclusion while mitigating bias. We celebrate diversity and are committed to building a team that reflects the communities we serve. We welcome and encourage qualified applicants, from all backgrounds, who are excited to contribute to our mission.  

LOCATION salary range

$150,000— $180,000 USD

#LI-REMOTE 

#LI-SDL1

The Team

The Biohub is a group of nonprofit research institutes that bring together scientists, engineers, and physicians with the goal of pursuing grand scientific challenges on 10- to 15-year time horizons. The Biohub focuses on understanding underlying mechanisms of disease and developing new technologies that will lead to actionable diagnostics and effective therapies.

Our Vision

• We pursue large scientific challenges that cannot be pursued in conventional environments
• We enable individual investigators to pursue their riskiest and most innovative ideas
• The technologies developed at the Biohub facilitate research by scientists and clinicians at our home institutions and beyond

Diversity of thought, ideas, and perspectives are at the heart of Biohub and enable disruptive innovation and scholarly excellence. We are committed to cultivating an organization where all colleagues feel inspired and know their work makes an important contribution.

The Opportunity

We are seeking an R&D Engineer to support the deployment, operation, and continuous improvement of an advanced automated laboratory platform. This role is responsible for ensuring reliable execution of complex workflows through the integration of robotics, instrumentation, and control systems.

You will play a key role in building and maintaining the infrastructure that enables scalable and efficient experimental operations.

What You'll Do

• Develop scalable, modular automation architectures to support evolving experimental needs across multiple hardware platforms
• Partner with computational teams to enable closed-loop / data-driven experimentation
• Evaluate and support installation, configuration, and integration of laboratory automation systems and instrumentation
• Optimize high-throughput experimental pipelines
• Program and coordinate robotic systems and instrument control software
• Perform routine maintenance, calibration, and validation of equipment
• Implement real-time monitoring and logging systems for workflow performance and data quality
• Monitor system reliability and implement improvements to increase efficiency and uptime
• Troubleshoot hardware and workflow issues to ensure consistent system performance
• Collaborate with scientific teams to translate experimental needs into automated processes
• Provide technical support and training to users of the platform

What You'll Bring

• BS or MS in Mechanical Engineering, Electrical Engineering, Bioengineering, Robotics, or a related field
• Hands-on experience with laboratory automation systems, robotics, or complex instrumentation
• Experience with hardware integration and control systems
• Programming or scripting experience (e.g., Python or vendor-specific platforms)
• Strong troubleshooting skills and attention to detail
• Ability to manage and maintain complex systems in a dynamic environment
• Effective communication skills and a collaborative mindset
• Strong problem-solving skills and a systems-level mindset
• Interest in data-driven experimentation and automated platforms

Compensation

The Chicago, IL base pay range for a new hire in this role is $130,000 - $138,550. New hires are typically hired into the lower portion of the range, enabling employee growth in the range over time. Actual placement in range is based on job-related skills and experience, as evaluated throughout the interview process.

This position may be eligible to participate in our discretionary annual performance bonus program. Bonus eligibility and targets are determined in accordance with our total rewards philosophy and may vary by role.

Better Together

As we grow, we’re excited to strengthen in-person connections and cultivate a collaborative, team-oriented environment. This role is a onsite position requiring you to be onsite for at least 100% of the working month, approximately 5 days a week. 

Benefits for the Whole You 

We’re thankful to have an incredible team behind our work. To honor their commitment, we offer a wide range of benefits to support the people who make all we do possible. 

• Provides a generous employer match on employee 401(k) contributions to support planning for the future.
• Paid time off to volunteer at an organization of your choice. 
• Funding for select family-forming benefits. 
• Relocation support for employees who need assistance moving

If you’re interested in a role but your previous experience doesn’t perfectly align with each qualification in the job description, we still encourage you to apply as you may be the perfect fit for this or another role.

#LI-Onsite

You will be the technical lead across our End User Computing and Workplace Technology teams, setting the bar for how we build, deploy, and maintain systems at scale across a 5,000+ device fleet — a large, complex environment spanning Windows, Mac, and cloud-managed device platforms. This is a hands-on role for someone who wants to own design decisions and solve hard problems, not manage people. When a project is at risk or a design needs a harder look, you're who the team leans on.

Key Responsibilities

• Own the design and implementation of major initiatives across device management, identity, and workplace technology
• Provide technical leadership for the IT Engineering team, raising the bar on execution and quality
• Unblock complex problems, review high-risk changes, and raise the quality floor across the team
• Evaluate new tooling and platforms with a clear view of tradeoffs, security posture, and operational cost
• Turn ambiguous business problems into well-scoped technical solutions, making sound decisions with incomplete information
• Participate in incident response for issues affecting user systems or workplace platforms — own technical response, drive resolution, and ensure problems are fully closed
• Represent the team's technical direction to cross-functional stakeholders and senior leadership without the director in the room when needed

Skill Requirements

• 5+ years in IT engineering with a background in desktop engineering, end user computing, or device management at large or mid-sized enterprise scale
• Hands-on scripting experience with Python, PowerShell, or Bash for automation and orchestration
• Deep operational experience with MDM tooling across Windows and Mac device fleets
• Identity and access governance: SSO, SAML, SCIM, conditional access policies, and access lifecycle management
• Experience with Git-based version control workflows, including pull requests and code review

Desirable Skills

• Experience with Zero Trust security frameworks and compliance practices
• Actively uses AI tools as part of their engineering workflow; brings an AI-forward mindset to solving problems at scale
• Experience working in SASE/SSE environments
• Experience with logging, SIEM integrations, auditing, monitoring, and device telemetry
• Network fundamentals: DNS, DHCP, TLS/SSL, and Zero Trust/VPN architecture
• Familiarity with endpoint security tooling (EDR, DLP)

#LI-AW1

What you'll do:

In this pivotal role on our Trading Services team, you will architect, evolve, and optimize the distributed systems powering NinjaTrader’s real-time trading platform. As a Principal Software Engineer, you will lead the long-term technical direction of mission-critical trading infrastructure operating in high-volume, low-latency, globally distributed environments. You will play a key role in modernizing our trading architecture, driving scalability and resiliency initiatives, and shaping the future of our platform as we continue to grow in the retail futures trading space.

This role requires deep technical expertise across distributed systems, trading infrastructure, and real-time system design. You will serve as a technical leader on the team, influencing architecture, engineering standards, and platform strategy while mentoring engineers and partnering closely with product, operations, and executive stakeholders.

In this role you will:

• Design, develop, and optimize our Scala-based trading services for high-volume, low-latency, globally distributed 24x7 environments
• Optimize system performance, with focus on JVM tuning and distributed systems performance for Scala/Akka-based services
• Define and lead the long-term architectural strategy for NinjaTrader’s trading systems and distributed infrastructure
• Drive modernization initiatives focused on scalability, resiliency, fault tolerance, and operational excellence
• Lead service decomposition and platform decoupling efforts to enable polyglot development, isolated deployments, and improved system agility
• Serve as a technical leader and trusted advisor across engineering teams, driving best practices and engineering excellence
• Mentor and guide engineers through architecture reviews, technical design discussions, and operational leadership
• Collaborate cross-functionally with product, engineering, operations, and security teams to translate business requirements into robust and secure technical solutions
• Improve observability, monitoring, distributed tracing, and operational transparency across critical trading services
• Ensure compliance with security policies, regulatory standards, and industry best practices
• Lead technical decision-making during high-severity production incidents and real-time operational events
• Evaluate and introduce emerging technologies, frameworks, and architectural patterns to improve platform capabilities and engineering efficiency

What you'll need:

• Bachelor's degree in Computer Science, Information Technology, or related field (or equivalent experience)
• Experience in Java/Kotlin/Scala/Rust/C++ or functional programming languages within exchange/trading environments
• Extensive experience designing and operating high-performance, high-concurrency distributed trading systems
• Deep expertise in low-latency system architecture, distributed systems design, and real-time event processing
• Proven experience leading technical strategy and architectural direction for mission-critical platforms
• Strong expertise in JVM internals, performance tuning, and optimization for high-performance environments
• Experience supporting highly available 24/7 production systems in trading or financial services environments
• Deep understanding of networking and protocols including HTTP/HTTPS, WebSockets, DNS, TCP/IP, and distributed communication patterns
• Proven ability to diagnose and resolve complex distributed systems, concurrency, and production performance issues
• Experience designing scalable, fault-tolerant microservices and event-driven architectures
• Excellent communication and leadership skills, with the ability to clearly articulate technical concepts to engineers, leadership, and cross-functional stakeholders
• Deep understanding of trading infrastructure, order lifecycle management, market connectivity, and real-time system reliability

Bonus points for:

• Background in capital markets, brokerage, or futures and derivatives technology
• Experience with real-time trading systems such as OMS, EMS, exchange connectivity, or market data infrastructure
• Experience leveraging AI/ML tools or technologies to enhance software development, system performance, or automation
• Experience in low-latency, lock-free development and design
• Strong experience with multithreading and concurrency in high-performance environments
• Deep understanding of order handling and matching engines
• Extensive experience with FIX or other market data/order-entry protocols
• Practical hands-on experience with cloud-native technologies including Kubernetes and Docker
• Experience designing highly available, resilient distributed systems in cloud-native environments

Compensation:

The salary range for this role will be $210,000.00 - $230,000.00 USD. In addition, this position will also receive an annual target bonus of 15%. Bonus pay at NinjaTrader is based on individual performance (50%) as well as company/team performance (50%).

Salary and bonus earnings are only two components of the total compensation package offered by NinjaTrader. NinjaTrader offers a 401K plan through ADP under which the company will match up to 3.5% of employee contributions. Annual paid time off allowance accrues at a rate of 23 days per year plus seven paid holidays.

All offered compensation will be based on assessed experience and is subject to change at the offer stage.

Location:

This role is based in Chicago, IL. *There may be remote flexibility for exceptional candidates in the following states: California, Colorado, Florida, Georgia, Illinois, Indiana, Minnesota, Missouri, Montana, New Jersey, New York, North Carolina, Ohio, Oregon, Pennsylvania, South Carolina, Texas, Utah, Vermont, Virginia, Washington, Washington DC, Wisconsin.

Hybrid:

For Chicago-based employees, we follow a hybrid work schedule: In-office Tuesday through Thursday, with remote work on Mondays and Fridays. In addition to these weekly remote days, we offer:

• 20 additional flex remote days annually
• 5 Company Wide Office-Optional weeks tied to major holidays

About Loop

Loop is the data platform for the global supply chain. Logistics runs on messy, unstructured data—trapped in PDFs, emails, and legacy systems. We use AI to structure this chaos, creating a "source of truth" that automates payments and audits for the Fortune 100.

We are building the financial nervous system for a $100 trillion physical economy. Our technology ensures freight moves efficiently and carriers get paid instantly.

Backed by Founders Fund, Index Ventures and 8VC, we are scaling rapidly. We are looking for engineers ready to deploy production AI that powers the physical economy.

About the New Grad Program

Most AI stays in the browser. Ours moves atoms. You aren't just building features; you are building the autonomous brain for the Fortune 100’s global supply chain.

This program is designed to compress 3 years of learning into 1 year by throwing you into the deep end of production AI systems on Day 1. Instead of sandboxed projects, you get to solve real problems and impact customers directly. This program demands intense investment, but by the end, you will perform as a strong entry-level engineer jumpstarting your career.

The Schedule:

• Week 1 (Onboarding): Deep dive into tools and domain. You will ship code to production on Day 1 and fully grasp our dev loop by Friday.
• Months 1-3 (Velocity): You will deliver 3 entry-level projects with increasing ambiguity. By the end of Month 3, you are expected to operate as a fully independent engineer.
• Months 4-9 (The Rotation): You will rotate onto a different high-impact team to expand your surface area. Tracks include:
• Platform: AI infrastructure and Engineering Systems.
• Core Product: Audit, Billing, and Payments logic.
• Commercial: Revenue Activation and Forward Deployed Engineering.
• Special Projects: Partnering directly with the CEO/CTO and other execs
• Month 9+ (Graduation): You should demonstrate Mid-Level Engineer performance and will be considered for immediate promotion.

About You

We're not just looking for strong academic performers. We're looking for people who are genuinely driven to build things and go deep on hard problems. If the following resonates, you belong here:

• You go above and beyond. You have a repo, a side hustle, or a project you built just because you are curious. You’re self-directed and don't need an assignment to start coding.
• You have a bias towards action. You prefer to ship, break, fix, and apologize rather than wait for a committee decision.
• You are drawn to hard problems. You want problems that are more than one prompt away from a solution.
• You get absorbed in mastering your craft. Whether it’s climbing the Esports ladder, acing a math competition, winning a hackathon, or debugging a complex issue, you know what it feels like to lose track of time working on something you care about.

Responsibilities

• Ship critical infrastructure. Manage real-world logistics and financial data for the largest enterprise in the world.. 
• Own the why. Build deep context through customer calls, and understand the Loop’s value to our customers. You push back on requirements if you see a better, faster way to solve the customer’s problem.
• Full-stack proficiency. Work across system boundaries, from frontend UX to LLM agents, database schema and event infrastructures.
• Leverage AI tools to handle the 90% boilerplate, so you can focus the highest leverage 10%: quality, architecture, product taste.
• Raise the velocity bar. You will constantly optimize our dev loops, refactor legacy patterns, automate your own workflows and fix broken processes.

Qualifications

• Graduating with a BS or higher in STEM fields; available to start full-time in 2026.
• Working in person in the SF or Chicago office 4 days a week.
• Proficiency with modern techstack. You can deliver a modern web app in hours not in days..
• Unblocking yourself. You thrive in ambiguity. Despite the chaos, you deliver high quality products and business impact.
• AI Literate. You have strong intuition on how LLM works: where they excel and where they generate slop. You live and breathe AI native tools (Cursor, Codex, Claude Code etc.)

Compensation

• $125,000 annual base pay for Chicago

Benefits & Perks

• Fully paid health insurance.
• 401k with matching.
• Unlimited PTO.
• Generous professional development budget.
• Commuter benefits.
• Wellness benefits
• Phone plan stipend

#LI-LOOP

 Senior AI Engineer - Geneva Trading, Chicago

Geneva Trading is a technology-driven proprietary trading firm where engineering directly impacts performance. We're looking for a senior engineer who can lead the adoption of AI across the organization. Someone who stays on the cutting edge, experiments relentlessly, and ships the practices that actually work to the rest of the team.

This is a hands-on IC position for someone who thrives on autonomy, moves fast, and measures their success by how much more effective they make everyone around them.

 What You'll Do

Explore and evaluate. The AI landscape is evolving weekly. You'll stay current on new models, tools, frameworks, and techniques and have the judgment to separate signal from noise.

Experiment and validate. You'll identify specific problems across the engineering organization, prototype AI-driven solutions, and measure whether they improve outcomes. Not every experiment will work, and that's expected.

Ship and scale. When something works, you'll package it into workflows, tooling, and best practices that the broader team can adopt. This means writing clean, production-quality code.

Measure impact. You'll define and track metrics around engineering efficiency — cycle time, developer throughput, time-to-resolution, or whatever matters most to the team. The goal is demonstrable, measurable improvement.

Lead through influence. You'll drive adoption through training, documentation, and collaboration. You'll need to earn trust by consistently delivering results.

Specific Areas of Focus

• Integrating LLMs and AI assistants into engineering workflows (code review, development, testing, documentation)
• Building automation and orchestration for repetitive or high-friction processes
• Developing internal tools that leverage AI to improve decision-making and productivity
• Evaluating and deploying new AI capabilities as they emerge

 What We're Looking For

• Strong software engineering fundamentals. You're an engineer first, with AI as your current focus area
• Proficiency in Python and comfort building production systems
• Experience applying ML/AI in practical, production settings (not just research)
• Familiarity with LLMs, prompt engineering, and the current AI tooling ecosystem
• Ability to work independently, set your own priorities, and manage ambiguity
• Strong communication skills. You'll need to explain what you're doing and why to both engineers and senior leadership
• Curiosity and pace. You genuinely enjoy keeping up with a fast-moving field

Nice to Have

• Experience with agent orchestration frameworks and multi-step AI workflows
• Familiarity with emerging standards and protocols in the AI tooling space (e.g., MCP)
• Background in trading, fintech, or other performance-sensitive environments
• Experience with cloud platforms (AWS, GCP, or Azure)

Compensation

Base Salary Range: $200,000 – $300,000, plus eligibility for a performance-based bonus.

Final compensation will be determined based on the candidate’s skills, experience, education, and qualifications. In addition to base salary, Geneva Trading offers a competitive total rewards package, including a comprehensive benefits program. Learn more about our employee incentives here: https://www.genevatrading.com/employee-incentives/

Application expected to close: 6/27/26

 Director of AI Engineering– Geneva Trading- Chicago

At Geneva Trading, technology isn’t just a support function; it’s a competitive edge. We’re looking for an innovative engineer who can harness the power of AI and machine learning to transform how we trade, analyze, and operate. If you thrive in fast-paced environments, love solving complex problems, and want to see your work directly impact performance, this is your opportunity to make a difference.

What You’ll Do

• In this role, you will build intelligent features and autonomous workflows that enhance user experiences.
• You will work with large language models (LLMs), agentic frameworks, and orchestration tools to develop next-generation interfaces and intelligent assistants that support workflows.
• Build robust orchestration and automation workflows integrating multi-agent capabilities.
• Develop and maintain pipelines for training, benchmarking, validating, and deploying LLMs and autonomous agents into production environments.
• Build and optimize intelligent tools and automation systems that improve efficiency and decision-making.
• Ensure software quality through clean, maintainable, and optimized code, including support for efficient inference.
• Provide technical leadership on best practices for AI integration, process design, documentation, lifecycle management, and security.
• Drive adoption of AI solutions through collaboration, training, and thought leadership across teams.
• Big data analytics with Agentic AI systems to create actionable insights from verified sources.
• Present insights and outcomes to senior leadership, influencing strategic decisions.

What We’re Looking For

• Degree in Computer Science, Engineering, or a related quantitative field.
• 3+ years of experience in AI, automation, or advanced technology roles.
• Experience developing agentic AI systems, including agent orchestration, tool integration, and autonomous decision-making workflows.
• Strong proficiency in Python and familiarity with AI frameworks and libraries.
• Hands-on experience with MCP and prompt engineering.
• Understanding AI solutions for deployment and monitoring in enterprise environments is important.
• Excellent problem-solving and communication skills; ability to work independently and with senior stakeholders.
• Experience with cloud platforms is a plus.

Compensation

Base Salary Range: $250,000 – $350,000, plus eligibility for a performance-based bonus.

Final compensation will be determined based on the candidate’s skills, experience, education, and qualifications. In addition to base salary, Geneva Trading offers a competitive total rewards package, including a comprehensive benefits program. Learn more about our employee incentives here: https://www.genevatrading.com/employee-incentives/

Application expected to close: 6/27/26

Overview of Role

66degrees is looking for creative, dedicated, and personable technology business professionals for a Principal Cloud Architect position. level. A Principal Cloud Architect is someone capable of designing complex, large-scale, and often "bleeding-edge" solutions. Our ideal candidate will display relentless curiosity and drive around how we organize ourselves and deploy/use technology to ensure our largest and most complex Enterprise clients IT environments drive business value. We are looking for the right fit with our growing team of Principal level Architects as we solve previously "unsolveable" problems with the scale of AI.

Responsibilities

• Build a trusted advisory relationship with strategic accounts and engage with CIO/CTO/VP IT and Business leaders   
• Architectural Strategy & Governance
• Design Global Scale Systems: Lead the end-to-end architectural design of multi-region, highly available cloud ecosystems that support millions of concurrent users and petabyte-scale data processing.
• Standardize Infrastructure as Code (IaC): Establish and enforce enterprise-wide standards for IaC and config management to ensure consistent, repeatable, and audited deployments across all environments.
• Multi-Cloud & Hybrid Orchestration: Architect complex connectivity and workload portability strategies using Anthos, Private Service Connect, and Cloud Interconnects to bridge legacy on-premises systems with modern cloud services.
• Advanced AI & Data Innovation
• Operationalize Generative AI: Design production-grade RAG (Retrieval-Augmented Generation) architectures, ensuring LLMs are secure, reliably operate within capacity constraints and quotas, monitor and control token costs, and implement Enterprise security grade guardrails.
• End-to-End MLOps: Scale the implementation of automated machine learning pipelines—from ingestion to model serving—using Vertex AI (or self-hosted oss models) to reduce the time-to-market for predictive insights.
• Security, Risk & Compliance
• Zero-Trust Leadership: Design and lead the implementation of comprehensive security frameworks including BeyondCorp, VPC Service Controls, and advanced Identity Management (IAM) to protect sensitive workloads against sophisticated threats.
• Regulatory Engineering: Architect technical controls that automate compliance for global standards (e.g., SOC2, HIPAA, GDPR), ensuring the platform is "secure by design" and audit-ready at all times.
• Technical Leadership & Operational Excellence
• Complex Problem Resolution: Serve as the final technical escalation point for critical production issues, performing deep-root cause analysis on global-scale outages or performance bottlenecks.
• Financial Optimization (FinOps): Direct the cost-optimization strategy by designing high-efficiency architectures that balance performance requirements with long-term cloud spend sustainability.
• Cross-Functional Mentorship: Act as a force multiplier by mentoring other architects and engineering teams, fostering a culture of technical excellence and continuous learning.
• Lead Consultant
• Act as a technical subject matter expert, particularly regarding the Google Cloud ecosystem for business users, providing clear and concise explanations of complex concepts. 
• Identify customer priorities, technical objections, and design strategies encompassing the Google ecosystem to deliver business growth and resolve blockers.
• Lead requirements gathering and project scoping.
• Solution design, problem-solving, and architecture diagramming. 
• Provide domain expertise around public cloud and enterprise technology, and effectively promote Google Cloud with clients, at conferences, and online.
• Provide technical expertise to the team on continuous integration/continuous delivery, infrastructure, monitoring, alerting, and security.
• Provide recommendations on integration strategies, enterprise architectures, platforms, and application infrastructure needed to implement a complete solution for clients.
• Assist in delivering technical solutions to meet customer functional needs and improve service reliability, including CI/CD pipelines and infrastructure builds/migrations.
• Provide Engineer-to-Engineer and Architect-to-Engineer support, including whiteboard sessions and informal Q&A.
• Travel to customer sites, conferences, and other related events as required.

Qualifications

• 5+ years of GCP experience is a must. Experience in other clouds is beneficial.
• Proven experience in building, architecting, designing, and implementing globally distributed cloud-based systems, with a strong understanding of API-first design principles and API management platforms.
• Extensive experience with security (zero trust) and networking in cloud environments
• Capable of advising and implementing CI/CD practices to clients using tools such as GitHub, GitLab, Cloud Build, and Cloud Deploy and concepts such as GitOps and GitFlow.
• Experience in containerizing workloads using Kubernetes, Docker, Helm, and Artifact Registry.
• Knowledge of technology solutions and ability to learn emerging technologies, methodologies, and solutions in the Cloud/IT technology space.
• Ability to work cross-functionally, engage and influence audiences.
• Excellent organizational skills and customer-facing communication.
• Proficiency in documentation and knowledge transfer using remote meetings, written documents, and technical diagrams slide decks.
• Experience in implementing hybrid connectivity using VPN or Cloud Interconnect is a plus.
• GCP Credentials:  Professional Cloud Architect Certification plus any other Professional Cert (Data Engineer preferred) or L400 Generative AI skill badge.  Additional certifications Kubernetes (CKA, CKS), or Terraform strongly recommended
• A Bachelor's degree in Electronics Engineering, Data Science, Information Technology, Business Intelligence, Computer Science, or a related field.

What You’ll Do:

You will be a key member of the Infrastructure Operations team, a group responsible for the uptime, reliability, and strategic growth of CoreWeave's physical data center footprint. You will work closely with fellow engineers, data center operations technicians, and management to ensure our facilities meet the highest standards of performance and availability.

About the role: In this role, you will oversee the day-to-day infrastructure operations of our data center facilities, ensuring the robust performance of all mechanical, electrical, and plumbing (MEP) systems. Your responsibilities will include managing preventative and corrective maintenance programs, engaging with colocation vendors to enforce SLAs, and acting as a technical resource during incident response and resolution. You will be a critical voice in ensuring our physical infrastructure scales seamlessly to support CoreWeave's rapid growth, translating hands-on experience into operational excellence.

Who You Are:

• 5+ years of hands-on experience in critical facility operations, with direct experience managing or operating a data center.
• Strong technical understanding of data center MEP infrastructure, including electrical distribution, mechanical cooling systems, and building management/automation systems (BMS/EPMS).
• Demonstrated experience writing and reviewing Root Cause Analysis (RCA) documents for critical incidents.
• Proficiency in analyzing data center redundancy configurations (N, N+1, 2N) and identifying operational risks.
• Familiarity with industry standards and codes such as NEC, NFPA, IEEE, and ASHRAE.
• Experience participating in maintenance, upgrades, and expansions of live data center environments.
• Willingness to travel up to 40% and participate in an on-call rotation for emergency response.

Preferred:

• Experience with data center design or the commissioning (Cx) of critical facilities.
• Experience managing maintenance programs through a preventative maintenance system (CMMS).
• History of successfully insourcing or outsourcing specific maintenance tasks based on operational needs.

Wondering if you’re a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams – even if you aren't a 100% skill or experience match. Here are a few qualities we’ve found compatible with our team. If some of this describes you, we’d love to talk.

• You love solving complex problems within critical environments and thrive on ensuring everything runs smoothly.
• You’re curious about how to maintain stability and operational excellence amidst rapid scale and technological evolution.
• You’re an expert in hands-on data center operations, translating past experiences (including those middle-of-the-night calls) into proactive improvements.

Why CoreWeave?

At CoreWeave, we work hard, have fun, and move fast! We’re in an exciting stage of hyper-growth that you will not want to miss out on. We’re not afraid of a little chaos, and we’re constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values:

• Be Curious at Your Core
• Act Like an Owner
• Empower Employees
• Deliver Best-in-Class Client Experiences
• Achieve More Together

We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and provides the opportunity to develop innovative solutions to complex problems. As we get set for take off, the growth opportunities within the organization are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us!

The base salary range for this role is $143,000 to $191,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility).

Senior Security Engineer

Our Engineering Standards at Karbon:

Balance Speed and Quality

Engineers are expected to balance delivery speed with a strong commitment to quality, meeting agreed timelines while producing reliable, maintainable, and well-tested solutions. Sound judgment in making trade-offs between velocity and long-term sustainability is essential.

Collaborate Effectively

Engineering is collaborative by default. Team members are expected to contribute constructively in design discussions, reviews, and planning, communicate clearly about progress and risks, and support shared team outcomes in both hybrid and distributed environments.

Build and Maintain Systems

Engineers are responsible for building new capabilities while maintaining and improving existing systems. This includes designing scalable solutions, reducing technical debt, supporting operational stability, and contributing to continuous improvement.

Operate with Autonomy

A high degree of autonomy is expected. Given clear objectives, engineers should independently translate problems into actionable technical approaches, proactively identify improvements, and continuously expand relevant technical expertise.

Ownership and Accountability

Ownership is fundamental. Engineers are accountable for the quality, performance, and customer impact of their work from design through post-release support, and are expected to follow through on commitments.

AI-Enabled Engineering

AI is reshaping how software is built, and we are committed to leveraging it as a force multiplier for creativity, impact, and capability. Engineers are expected to confidently apply strong technical fundamentals while embracing AI tools and approaches to enhance productivity, problem-solving, and innovation. Curiosity, adaptability, and enthusiasm for integrating AI into meaningful product development are essential.

Contribute to Team Culture

Engineers contribute positively to a culture of professionalism, transparency, low bureaucracy, and mutual respect, strengthening team performance through authenticity, curiosity, and collaboration.

About the Role! 

Seeking a development & cloud focused Senior Security Engineer to join our expanding security team.

The ideal candidate will have passion for AppSec, Cloud and AI. They will be a skilled communicator and relationship builder capable of promoting and building security practices across the organization and into our development processes.

AI is reshaping practices across the board and at Karbon we’re fully committed. We don’t see AI as a replacement but as a force multiplier. We’re looking for Security Engineers who are confident in network & security fundamentals, driven to grow, and excited by the challenges and opportunities AI brings.

What You’ll Own:

• Partner with different areas within Karbon - You will make sure security is embedded from the start from feature design and development to participating in design reviews and threat modelling.
• Balance Security and Delivery - You know how to balance delivery needs with security and can communicate security risks and issues to non technical stakeholders. You understand when it's important to push back, when to compromise and how to work with delivery teams to reach a great outcome.
• You keep up to date on the latest technologies and approaches - You are excited by the new developments such as AI bring to security but also understand the importance of security foundational practices such as good account hygiene, least privilege, attack surface reduction and MFA.
• Identify and assess security risks introduced by AI tools - You’ll assist with reviewing the risks of AI tooling usage & Integration and AI-generated code.
• Apply AI-assisted tooling to accelerate security work - you understand the impact AI can have and utilize it across many areas including triage, threat detection, code review, and documentation.
• Flexibility and confidence to work across multiple security domains - We’re a small team responsible for Security at a fast moving company and you’ll get exposure to many different security domains; you could be assisting with refining and investigating corporate IT security processes in the morning, reviewing a cloud hosted system after lunch and then tweaking detection rules!
• Work effectively as part of a team - Security is a team sport and you understand the need to build relationships and trust across the organization to enhance Karbon’s security posture. You are happy to answer questions and offer advice to teams that will reach out for your assistance.
• Own your work - You take pride in your work, feeling a deep sense of responsibility for the products we develop and ensuring we keep our customers' valuable data secure. This sense of ownership is paramount, and you share this commitment.
• Bring your passion and personality - Your creativity, curiosity, and authentic self make the team stronger. If you've worked in highly political environments, you'll find our culture, free from office politics and valuing openness and authenticity, a refreshing change.
• Help us measure improvement and steer our roadmap - Contribute to Security Metrics so we can track progress and feedback into our roadmap.

What Sets You Apart

4+ years experience in a security or development role across most of the following:

• Collaborating with teams to review designs & implementations for security issues and embedding good security practices across software development
• Triaging issues and reports, assisting teams to remedy items and testing fixes
• Working with external penetration test companies to validate and prioritize findings
• Conducting risk and vulnerability assessments of web applications and APIs and third party suppliers and integrations
• Configuring and tuning SAST, SCA and DAST Tooling
• Working with build/deployment pipelines to incorporate security tooling (Github Actions or Azure Devops YAML based pipelines)
• Assisting with implementing security focused alerting and detections and automations
• Conducting and facilitating organizational & developer focused security training
• Assisting with operational security items such as EDR alerts and MDM
• Contributing to our security roadmap

In addition you’ll need:

• Strong communication skills (spoken and written) 
• Some of the following Languages/Frameworks: Microsoft .NET/C#, JavaScript (we use React and EmberJS frameworks and, Python)
• At least one cloud platform: Azure, AWS or GCP (we use Azure predominantly)
• Working knowledge of PowerShell or Bash and Python
• Working knowledge of at least one AI development tool e.g. Claude Code, GitHub Co-Pilot etc
• Portswigger Burp or similar
• Certifications such as Offsec OSCP & AWAE, GIAC, Burp Practitioner, PJPT, Microsoft/AWS development and cloud related are nice to have
• Experience with securing AI applications, systems and AI tooling would be highly regarded

Why Work at Karbon?

• Gain global experience across Australia, New Zealand, UK, and Canada
• Strong benefits package including:
• Flexible Time Off with an encouraged 4 weeks use per year
• Company paid medical for you and eligible spouse/partner and dependents
• Paid dental and vision and eligible spouse/partner and dependents
• 401(k) with company matching
• Flexible Spending Account
• Up to 8 weeks paid parental leave
• Work-from-home stipend
• Work with (and learn from) an experienced, high-performing team
• A collaborative, team-oriented culture that embraces diversity, invests in development and provides consistent feedback
• Be part of a fast-growing company that firmly believes in promoting high performers from within

The Team

The Diagnostics team develops next-generation sensing technologies for real-time molecular monitoring in living systems. We bring together engineers, chemists, biologists, and translational scientists to create wearable and implantable platforms that enable high-impact applications in healthcare, therapeutics, and disease monitoring.

The Opportunity

We are seeking a Senior Mechanical Engineer to lead the design and development of miniaturized sensing systems for wearable and implantable medical devices. This person will play a critical role in translating early-stage prototypes into robust, manufacturable products by driving the mechanical design of housings, connectors, enclosures, microdevice assemblies, and packaging solutions.

This is a highly cross-functional role that sits at the intersection of engineering, biology, materials science, and product development. The engineer will work closely with scientists and external manufacturing partners to develop compact, high-performance sensing systems that can operate reliably in demanding biological environments.

What You'll Do

• Lead the mechanical design and development of wearable, implantable, and miniaturized sensing platforms for biomedical applications
• Design and prototype components, connectors, enclosures, fixtures, and packaging solutions for sensor systems and associated electronics
• Work closely with multidisciplinary teams to integrate mechanical, electrical, biological, and materials requirements into a manufacturable product
• Collaborate with external vendors and manufacturing partners to source, fabricate, and refine high-precision components and assemblies
• Conduct prototyping, testing, failure analysis, and design optimization to improve reliability, manufacturability, and long-term device performance

What You'll Bring

• PhD in Mechanical Engineering, Biomedical Engineering, Materials Engineering, or a related discipline
• At minimum 2+ years of professional experience 
• Strong industrial experience in medical device development, preferably involving wearable devices, implantable systems, or miniaturized sensing technologies
• Expertise in CAD tools such as SolidWorks, Creo, or Fusion 360 and experience designing precision mechanical systems
• Experience with medical-grade materials, hydrogels, soft materials, connectors, packaging, and biocompatible assemblies
• Strong communication skills and experience working with external vendors, contract manufacturers, and multidisciplinary technical teams

Compensation

The Chicago, IL base pay range for a new hire in this role is $130,000 - $137,700. New hires are typically hired into the lower portion of the range, enabling employee growth in the range over time. Actual placement in range is based on job-related skills and experience, as evaluated throughout the interview process.

This position may be eligible to participate in our discretionary annual performance bonus program. Bonus eligibility and targets are determined in accordance with our total rewards philosophy and may vary by role.

Better Together

As we grow, we’re excited to strengthen in-person connections and cultivate a collaborative, team-oriented environment. This role is a onsite position requiring you to be in office approximately 5 days a week. 

Benefits for the Whole You 

We’re thankful to have an incredible team behind our work. To honor their commitment, we offer a wide range of benefits to support the people who make all we do possible. 

• Provides a generous employer match on employee 401(k) contributions to support planning for the future.
• Paid time off to volunteer at an organization of your choice. 
• Funding for select family-forming benefits. 
• Relocation support for employees who need assistance moving

If you’re interested in a role but your previous experience doesn’t perfectly align with each qualification in the job description, we still encourage you to apply as you may be the perfect fit for this or another role.

#LI-Onsite

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

What we do  

You’ll join a business 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 Sr AI Enterprise 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.
• Contributring to 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 have knowledge of 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 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

What we do  

You’ll join a business 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 Sr AI Enablement 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.
• Contributring to 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 have knowledge of 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 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

What we do  

You’ll join a business 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 Sr AI Solutions Architect 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.
• Contributring to 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 have knowledge of 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 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

The Global Data & Insights Team

Okta's Enterprise Data & Insights team powers the data infrastructure that drives decision-making across the company by building reliable pipelines, scalable data platforms, and production-grade data products. We partner closely with internal Data and Insights Analysts as well as external Okta Product teams to unlock business value through robust data architecture, efficient data movement, and the engineering foundations that make data trustworthy at scale.    

The Senior Analytics Engineer, Marketing Opportunity

We are seeking a Senior Analytics Engineer to serve as the technical architect of our marketing data engine. You will own our marketing attribution logic and end-to-end funnel performance data, evolving our current processes into an enterprise-grade ecosystem. Your mission is to uncover the high-fidelity signals that drive new customer acquisition and maximize expansion within our existing base. You’ll tackle a sophisticated roadmap of advanced analytics, transforming raw touchpoints into a trusted, scalable framework for growth.

This role sits at the intersection of business context and technical execution. You will design scalable data models, define consistent business logic, and help establish a strong semantic foundation that enables both human analytics and machine-driven intelligence.

You will partner closely with Marketing stakeholders, Data Analysts, Data Scientists, and Data Engineers to ensure data is accurate, consistent, and easy to consume; whether through dashboards, self-service exploration, or AI-powered workflows.

What you’ll be doing

Data Modeling & Semantics

• Design, build, and maintain scalable data models using dbt and Snowflake
• Define and standardize core Marketing metrics (e.g., pipeline, campaign performance, attribution, conversion rates)
• Establish consistent modeling patterns, naming conventions, and semantic clarity across datasets
• Contribute to a shared semantic layer that enables consistent reporting across channels and tools

AI-Ready Data & Snowflake Ecosystem

• Prepare high-quality, well-governed datasets for use with Snowflake Cortex and Snowflake Intelligence
• Enable data foundations that support LLM-powered use cases such as campaign insights, segmentation, and performance optimization
• Ensure data is context-rich, well-documented, and aligned with business meaning to improve AI accuracy and usability

Data Quality, Governance & Trust

• Implement robust testing, validation, and documentation practices in dbt
• Ensure consistency across dashboards and marketing tools through shared definitions and reusable models
• Apply data governance best practices, including access controls, lineage, and auditability
• Partner across teams to establish clear ownership of marketing data assets and definitions

Collaboration & Delivery

• Partner with Marketing, Customer First, and Analytics teams to translate business needs into scalable data solutions
• Support self-service analytics by building intuitive, reusable datasets across channels (e.g., digital, lifecycle, events)
• Contribute to scalable data workflows that balance immediate campaign needs with long-term maintainability
• Work within an agile environment, contributing to planning, prioritization, and continuous improvement

AI and Data Mindset

• Demonstrate an AI-first mindset, thinking beyond data models and dashboards to how data can power intelligent systems and decision-making
• Understand the importance of well-modeled, well-documented, and semantically clear data for AI and LLM-based use cases
• A level of comfort leveraging AI-assisted workflows to improve productivity, code quality, and consistency
• Curiosity for emerging capabilities in platforms like Snowflake Cortex and Snowflake Intelligence, and how they can be applied to Marketing analytics

What you’ll bring to the role

• 5–8+ years of experience in Analytics Engineering, Data Engineering, or similar roles
• Strong SQL skills and experience building analytics-ready data models
• Mentorship & Engineering Excellence: Mentorship, raising the technical bar, establishing organization-wide standards for dbt/SQL quality and CI/CD
• Hands-on experience with dbt and Snowflake or other ETL, Modeling and database platforms
• Solid understanding of data modeling principles, including dimensional modeling and semantic design
• Experience working with Marketing data (e.g., campaign data, web analytics, CRM, attribution models)
• Familiarity with tools such as Salesforce, Marketo, Google Analytics, or similar platforms
• Experience with data quality, testing, and documentation best practices
• Exposure to Python, R, or data processing frameworks (e.g., PySpark) is a plus
• Experience with BI tools such as Tableau or Looker
• Strong communication skills and ability to work across technical and business teams

What you can look forward to as an Okta employee!

• Amazing Benefits
• Making Social Impact
• Fostering Diversity, Equity, Inclusion and Belonging at Okta 
• Okta cultivates a dynamic work environment, providing the best tools, technology and benefits to empower our employees to work productively in a setting that best and uniquely suits their needs. Each organization is unique in the degree of flexibility and mobility in which they work so that all employees are enabled to be their most creative and successful versions of themselves, regardless of where they live. Find your place at Okta today! https://www.okta.com/company/careers/.

Okta is an Equal Opportunity Employer/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws. If reasonable accommodation is needed to participate in the job application or interview process, please use this Form to request an accommodation.

Okta is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Privacy Policy at https://www.okta.com/privacy-policy/. 

Each organization is unique in the degree of flexibility and mobility in which they work so that all employees are enabled to be their most creative and successful versions of themselves, regardless of where they live. Find your place at Okta today! https://www.okta.com/company/careers/.

Okta is an Equal Opportunity Employer/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws. If reasonable accommodation is needed to participate in the job application or interview process, please use this Form to request an accommodation.

Okta is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Privacy Policy at https://www.okta.com/privacy-policy/.

#LI-HM2

#LI-Hybrid

P24712_3413650

P24715_3413656

We are looking for a Senior Architect to join our Emerging Technologies organization. This is a high-leverage, hands-on engineering role designed for a technical leader who wants to stay in the code while steering the architectural direction of our most ambitious bets.

You will be a core contributor and architectural anchor for two high-priority workstreams:

Fine-Grained Authorization (FGA) | Scaling 1 to 10

To build a world-class, low-latency FGA system that remains resilient under the industry’s most complex identity hierarchies. We are looking for an architect who views authorization not as a set of rules, but as a massive-scale graph computation problem that requires elegant, distributed, and mathematically rigorous solutions.
The Work:

• Algorithmic Innovation: Moving beyond naive graph algorithms to implement probabilistic structures and fixpoint algorithms capable of navigating massive organizational hierarchies without computational or memory exhaustion.

• Graph Resolution Heuristics: Engineering workload-aware heuristics that can intelligently prioritize and resolve graph queries based on complexity cost, maintaining low latency even when faced with high-cardinality data sets and deep nesting.

• Fixpoint & Cycle Resolution: Solving for complex resolution requirements, such as circular references and recursive paths, in a horizontally scaled environment where traditional distributed patterns fail to meet our performance mandates.

• Scaling the Probabilistic Logic: Designing the engine to utilize non-deterministic approaches where exact computation is too expensive, ensuring the system remains mathematically rigorous while operating at the limits of global scale. 

AI Products | 0 to 1

We are pioneering the "Agentic Identity" space. This workstream is focused on building foundational products that secure AI Agents and provide developers with the tools to manage identity in an autonomous world.

• The Work: Rapidly architecting and shipping 0-to-1 product offerings that define how agents interact securely.

• The Goal: Establish our platform as the standard for securing the next generation of AI-driven applications.

Core Responsibilities

• Architectural Acceleration: Don’t just design it, build it. You will accelerate teams by writing critical-path code and providing the architectural "connective tissue" between complex systems.

• Algorithmic Leadership: Apply deep expertise in graph theory and distributed systems to solve the unique scaling challenges of our FGA domain.

• Technical Strategy: Partner with product leadership to define the technical roadmap for securing AI agents, ensuring our 0-to-1 bets are built on a sustainable foundation.

• High-Bar Engineering: Set the standard for code quality, system design, and engineering excellence across the Emerging Tech group.

Qualifications

• Senior Architect-Level Technical Depth: Extensive experience as a Senior Architect or Distinguished Engineer with a history of shipping complex, large-scale systems.

• Hands-on Practitioner: You still love coding. You prefer to prove an architectural concept with a PR rather than a slide deck.

• Domain Expertise: Strong background in Authorization/Identity and a mastery of Graph Algorithms.

• Adaptability: Comfortable shifting between the rigors of scaling a "1-to-10" product and the ambiguity of a "0-to-1" AI initiative.

#LI-Hybrid

P20140_3274921

Job Description

Okta is looking for a Senior Developer Advocate to become the voice of Auth0 in the developer community, primarily on X (Twitter), but extending across every platform where developers talk, argue, ship, and share. We don't need someone who can "do social media." We need someone who already lives in it: someone whose timeline is full of framework debates, shipping threads, and hot takes on the latest security disclosure, and who wakes up knowing what developers are talking about before the rest of the company does.

In this role, you will own Auth0's presence in the public developer conversation. You'll engage authentically with developers, amplify what we're building, surface what the community actually cares about, and help us move at the speed of the discourse. You'll turn real-time community signals into action, whether that's a timely thread, a piece of rapid-response content, feedback routed to the product team, or a connection with an influential voice in the ecosystem.

If you've built a following by being genuinely useful and opinionated in developer circles, and you want to do that full-time for one of the most widely-used identity platforms in the world, this is the role.

Core Responsibilities

• Community Listening & Trend Response: Dedicate time to actively monitoring developer conversations on platforms like Twitter/X, Reddit, and Hacker News. You will identify emerging trends in identity/security and mentions of Auth0, converting these insights into immediate opportunities. This could range from drafting a thoughtful reply or a "hot-take" blog post to commissioning a video explainer or routing critical feedback to the Product/Marketing teams.
• Own Auth0's Developer Presence on X and Beyond: Be the primary voice representing Auth0 in real-time developer conversations on X, as well as Reddit, Hacker News, Bluesky, and other platforms where developers gather. Post regularly, engage authentically, and build a consistent presence that developers actually want to follow.
• Turn Social Into a Feedback Channel: Systematically capture developer pain points, feature requests, praise, and criticism from public conversations and route them to Product, Engineering, and Marketing with context. You are the bridge between what developers say in public and what the company does next.
• Create Fast-Cycle, High-Signal Content: Write threads, short posts, quick takes, and lightweight explainers that ride the moment. When a topic is trending, you should be able to ship something valuable within hours, not weeks. Longer-form content (blog posts, video scripts) is secondary but expected when the moment calls for it.
• Collaborate With Internal Teams: Work closely with Product, Engineering, Developer Relations, and Marketing to ensure that what you're seeing externally informs what we build and how we talk about it. Help shape launch strategies, messaging, and positioning based on real community signal.

Minimum Qualifications

• Experience: 4+ years in developer advocacy, developer relations, or a community-facing technical role, with clear evidence of sustained public engagement with developer audiences.
• Established Social Presence: You have an active, authentic presence on X (and ideally other developer platforms). You don't need to be famous, but you should have a track record of engaging meaningfully in technical conversations and a following that reflects that. Share your profile, we will look.
• Technical Credibility: You can hold your own in a conversation about JavaScript/TypeScript frameworks, authentication flows, API design, or web architecture. You don't need to be a senior engineer, but developers should never feel like they're talking to a marketer.
• Speed and Editorial Judgment: You can assess whether something is worth responding to, draft something sharp, and ship it; all within a short window. You understand the difference between being fast and being reckless.
• Communication: Exceptional written English with a voice that feels natural on social platforms, clear, opinionated when appropriate, technically honest, and never corporate.

Preferred Qualifications 

• • Domain Knowledge: Familiarity with Identity protocols (OAuth 2.0, OIDC, SAML) and web security best practices.
  • Content Versatility: Experience producing short-form video (screen recordings, explainer clips, Loom-style walkthroughs) for social distribution.
  • Network in the Ecosystem: Existing relationships or mutual recognition with developers, advocates, or creators in the JavaScript, full-stack, or security communities.

Our Philosophy on AI

We believe AI is a powerful tool to accelerate research and structure ideas, but it is not a replacement for human expertise. We value AI-resilient content, unique, experience-based insights and verified code that generic models cannot replicate. We look for educators who use AI to work smarter, not to do the work for them.

#LI-Remote

P-1480.1

Position Description: 

We believe Solutions Engineers at Okta are involved in all stages of the customer’s development lifecycle and are experienced using presentations, email, phone and social media to connect with customers. We are looking for great teammates that can build sales presentations, product demonstrations, and educate customers (everyone from developers to product managers to C-level executives) on the best ways to cloud security technology.  We believe in Okta’s Solutions Engineers empathize with customers and quickly discern their true technical needs by asking detailed and clarifying questions and presenting solutions that target those needs. You have the rare combination of technical savviness and business insight and you’re looking for a career where you can utilize both. As a Senior Solutions Engineer at Okta, you will hone each of these skills by advising a diverse set of Fortune 500 customers on what is possible using Okta’s Identity Platform. 

Job Duties and Responsibilities:

• Collaborate with account executives to develop and execute territory and account strategies to maximize the Okta opportunity in those accounts
• Conduct research and discovery to understand customer requirements and communicate the business value of solving technology problems using cloud technology
• Execute the delivery of POCs for customers with complex use cases, collaborating with other Okta engineering teams as needed
• Craft technical content to show customers how to implement specific use cases or standard methodologies for new technologies
• Prepare and deliver demos to showcase how the Okta platform meets customer’s business needs and use cases.  
• Distill and communicate customer needs and product feedback to Product Management, Engineering, Marketing and Sales

Required Skills:

• • 5+ years pre-sales engineering experience
  • A passion to serve the customer, which has played out in some customer-facing role like consulting or support, ideally solutions engineering
  • An ability to quickly and effectively communicate complex technical concepts via presentation, slides and whiteboard 
  • A Strong Understanding of Identity & Access Management (IAM)
    • SSO, MFA, SCIM, OAuth 2.0, OIDC, SAML, and LDAP.
    • Lifecycle management, role-based access control (RBAC), and provisioning/deprovisioning.
  • A strong understanding of Zero Trust Architecture and core security concerns within a typical application (password hashing, SSL/TLS, encryption at rest, XSS, XSRF)
  • Hands-on experience in one or more of the following areas is a plus: web (JavaScript, HTML, frontend frameworks) development, mobile (iOS, Android) development, backend (Java, C#, Node.js, Python, PHP, Ruby) development, IP-based real-time communications
  • Experience with cloud platforms: AWS, Azure, GCP.
  • You are an elite communicator
  • Can identify, map, and manage multiple personas: IT admins, CISOs, architects, procurement, and legal.
  • Confident dispensing knowledge to a highly skilled and experienced audience
  • Typically 10-25% travel
  • Bachelor's degree in Engineering, Computer Science, MIS or a comparable field is preferred.
•  
•  This role requires in-person onboarding and travel to our San Francisco, CA HQ office during the first week of employment.

#LI-Remote

• Work alongside the sales team as the technical and domain expert of a customer-facing sales team to help Customers understand the value of Okta’s solutions
• Understand customer challenges and business issues and provide product demonstrations to align our solutions with customer needs
• Answer product feature and technical questions from customers, partners and Okta colleagues
• Plan and deliver Proof Of Concepts for customers who have more complex use cases, collaborating with other Okta engineering teams as needed
• Provide feedback to product management about product enhancements that can address customer needs and provide additional value
• Share and learn best practices and re-usable assets with other Solutions Engineers to enhance the quality and efficiency of the team
• Stay current on competitive analysis and market differentiation
• Support marketing events including executive briefings, conferences, user groups, and trade shows
• At times, be asked to learn and lead your team as a subject matter expert (SME) with various product solutions and/or competitive knowledge

• Identity and Access Management (IAM) Expertise:
  • 5+ years of pre-sales engineering experience in IAM.
  • Strong understanding of IAM concepts, including OAuth 2.0, OIDC, and SAML.
  • Experience with lifecycle management, role-based access control (RBAC), and provisioning/deprovisioning.
• Technical Proficiency:
  • Hands-on experience in one or more of the following development areas: web (JavaScript, HTML, frontend frameworks), mobile (iOS, Android), backend (Java, C#, Node.js, Python, PHP, Ruby), or IP-based real-time communications.
  • Experience working with REST APIs, API Gateways, and SDKs.
  • Deployed applications on cloud platforms (AWS, Azure, GCP, Vercel, etc.).
  • Understanding of core security concerns in applications (password hashing, SSL/TLS, encryption at rest, XSS, XSRF).
• Customer Engagement & Communication:
  • Passion for serving customers, demonstrated in a customer-facing role (ideally pre-sales, but consulting or support also valued).
  • Ability to quickly communicate complex technical ideas, including on-the-fly whiteboard explanations.
  • Elite communication skills, confident in dispensing knowledge and presenting to highly skilled and experienced audiences.
• Strategic & Organizational Skills:
  • Territory management skills, including pipeline building and collaboration with sales counterparts for execution excellence.
  • Diagramming experience for user journey flows, complex architecture diagrams, etc.
• Education & Travel:
  • Bachelor's degree in Engineering, Computer Science, MIS, or a comparable field is preferred.
  • Typically 25% travel.

• Experience with Auth0, Auth0 FGA, or OpenFGA.
• Hands-on experience with Generative AI or LLM technology (LangChain, GenKit, LlamaIndex, etc.).
• Experience integrating with microservices, data lakes, or customer data platforms.
• Developed ReBAC or Fine-Grained Authorization models.

LI#LS

P13976_3382181

We are looking for a Staff Software Engineer that will join the Auth0 Security Engineering organization. You’ll be responsible for designing and building the security guardrails for our multi-cloud environment, translating complex security and compliance standards into programmatic, code-driven policies.

What You Will Do

• Cloud Security Strategy: Design organization-wide controls (SCPs, Azure Policy) that provide maximum protection with minimum developer friction.
• Identity & Access Management (IAM): Architect templates and permission boundaries that govern how services and humans interact with our cloud environment with the principle of least privilege in mind.
• Infrastructure & Network Security: Define the security standards for VPC architecture, edge networking, and cross-account connectivity.
• Platform Security Architecture: Lead platform-related security reviews for new features and high-impact services, ensuring security is baked into the design phase.
• System Design: Design systems and processes to validate the security posture of the platform, ensuring our security policies are enforced in real-time with actionable feedback for engineering teams.
• Mentorship & Influence: You raise the bar for the entire organization by mentoring junior engineers and influencing senior leadership on critical security decisions.

What You Bring

• Cloud & Infrastructure Expertise:  8+ years of proven experience in information security, specifically within cloud-native environments, Kubernetes (EKS, AKS), and cloud security.
• Network Architecture & PKI: Deep understanding of secure networking principles, including VPC peering/transit gateways, VPN implementations, edge protection, and managing public/private PKI infrastructures.
• Policy & Automation Specialist: Strong background in building automated controls for enforcing Policy-as-Code within Terraform workflows.
• Practical Risk Assessments: Hands-on experience identifying attack vectors and conducting risk assessments for complex, distributed systems.
• Tooling & AI Proficiency: Experience working with security platforms for analyzing cloud permissions and a background or interest in applying AI to streamline security tasks and governance.
• Collaborative Influencer: Exceptional communication skills with a track record of aligning multiple teams toward shared security goals.
• Education: A Bachelor's degree in Computer Science, Information Security, Systems Engineering, or a related field.

Nice to Have

• Experience navigating compliance frameworks such as FedRAMP, SOC2, or HIPAA in a cloud environment.
• Proficiency in one or more languages used for automation and tooling, such as Python, Go, or JavaScript.
• Experience creating, managing, and securing containerized environments.
• Experience with service mesh (Istio) security policies and zero-trust networking.

Additional requirements:

• This position requires the ability to access federal environments and/or have access to protected federal data.  As a condition of employment for this position, the successful candidate must be able to submit documentation establishing U.S. Person status (e.g. a U.S. Citizen, National, Lawful Permanent Resident, Refugee, or Asylee. 22 CFR 120.15) upon hire.

#LI-HYBRID

#LI-SH1
P-1609.1_3388437

Pinterest is at one of those rare inflection points that comes along once in a generation. The way software gets built is changing fundamentally — AI agents are beginning to write code, review pull requests, debug production incidents, and orchestrate entire features. Pinterest is not watching this transformation from the sideline. We are choosing to lead it.

We are looking for a Principal Engineer to serve as a technical force multiplier for our Engineering Acceleration organization — a team of 60–80 engineers whose mission is to 10x how fast, and how well, every engineer at Pinterest builds. This is a startup-within-a-company opportunity: the charter is ambitious, the problems are largely unsolved, and the systems you build will define how an entire engineering organization operates for years.

As Principal Engineer for Agentic Engineering, you will architect and ship the foundational platform and capabilities that enables AI agents to operate as integrated participants in Pinterest's software development lifecycle. You will design the agent runtimes, memory systems, orchestration frameworks, evaluation pipelines, and governance models that make it possible for 3,000+ engineers to build alongside AI agents — safely, measurably, and at scale.

This is not a strategy-only or governance-only role. Architecture authority here is earned through production systems, measurable impact, and technical depth. You will write code. You will build reference implementations. You will take the hardest, most ambiguous problems and move them from concepts to operational systems — and in doing so, set the standard for how Engineering Acceleration builds.

You will work without a direct reporting team but with broad organizational authority. The Senior Director of Engineering Acceleration, VP of Engineering, and Chief Architect will look to you as a key technical advisor — a trusted partner and primary delegation point for the hardest technical questions facing this organization. Your instincts will shape hiring bars, investment decisions, and multi-year technical direction.

What you’ll do: 

• Define and drive Pinterest's technical strategy for agentic engineering — building the platform where AI agents write code, review pull requests, debug production incidents, and orchestrate development workflows across 3,000+ engineers
• Architect and ship production systems — modular agent runtimes, persistent memory, multi-agent orchestration (planner, executor, reviewer, tool agents), sandbox isolation, evaluation pipelines, governance (trust boundaries, code generation policies, credential protection, audit trails), and enterprise-grade security
• Reimagine Pinterest's SDLC — transforming coding, testing, reviewing, deploying, and monitoring into an AI-native lifecycle where humans move from "in the loop" to "on the loop"
• Own developer velocity measurement — telemetry, benchmarking, and evaluation systems that track agent quality, reliability, cost, and engineering throughput, building structured feedback loops that compound toward order-of-magnitude velocity gains
• Serve as technical force multiplier across Platform, Infrastructure, and Engineering Acceleration — integrating AI-native workflows with Pinterest's monorepo tooling, CI/CD pipelines, observability, and code quality systems while providing architectural direction, making disciplined build-vs-buy decisions, and setting quality standards through reference implementations
• Drive engineering-wide adoption — through compelling prototypes, reference architectures, technical evangelism, and documentation that makes the abstract concrete
• Build strategic relationships with AI platform vendors — such as Anthropic, OpenAI, AWS, Google and contribute to open-source agentic frameworks to keep Pinterest at the leading edge
• Translate ambiguous business opportunities into precise engineering investments with strong product sensibility — building platforms with the developer experience and adoption characteristics that generate real impact
• Serve as key technical advisor and delegation point — working with the Sr. Director, Engineering Acceleration, VP, Infrastructure, and Chief Architect — shaping investment priorities and multi-year technical direction
  
  

What we’re looking for:

• 12+ years of software engineering experience with deep expertise in building developer platforms, internal tooling, or engineering infrastructure that measurably changed how engineers work at scale
• Demonstrated hands-on experience designing and shipping agentic AI systems in production — including knowledge and context engineering, persistent memory architectures, multi-agent orchestration frameworks (LangChain, LangGraph), tool integration, and production observability for AI systems
• Experience working in large-scale monorepos or complex multi-service codebases and understanding the unique tooling, navigation, and developer workflow challenges they create
• Familiarity with agentic development best practices — AGENTS.md conventions, skills frameworks, prompt engineering for code agents, and hands-on experience accelerating developer velocity through AI-powered IDEs and local agentic workflows
• Track record of driving sweeping technical change across large engineering organizations (500+ engineers) without direct authority — through compelling vision, high-quality reference implementations, and credibility earned from shipping systems that work
• Deep understanding of modern SDLC tooling and workflows: code review systems, automated testing, CI/CD pipelines, static analysis, and the judgment to know how these systems must evolve when AI becomes a first-class participant
• Exceptional cross-functional influence and communication skills — comfortable operating across Security, Infrastructure, Platform, and Product Engineering. Able to handle complex technical conversations at any level, from staff engineers to CTO
• Strong product sensibility and business judgment — ability to convert ambiguous opportunities into precise technical direction, understand developer needs before they're articulated, and build platforms that developers want to adopt
• Bachelor’s degree in Computer Science, a related field or equivalent experience

Relocation Statement:

• This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.

In-Office Requirement Statement:

• We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role.
• This role will need to be in the office for in-person collaboration 1-2 times every 6-months and therefore can be situated anywhere in the country.

#LI-REMOTE

#LI-SG1

The iOS Platform team sets the technical direction for iOS at Reddit. Our customers are primarily other engineers. It’s our job to help improve developer efficiency by providing libraries/APIs/frameworks, monitoring performance, building shared components, improving build tools, etc. In the codebase, we own the core components of the app such as the networking and caching stack. We set the direction in which the codebase builds by defining which design patterns and technologies to employ at Reddit.

This role will enable us to architect our iOS app to scale for the next 100M+ DAUs. They will help establish the right standards in iOS development and will help in improving the overall iOS development experience at Reddit. In addition, they will mentor senior iOS engineers across Reddit and will be seen as a go-to person for any challenges on iOS App architecture.

As a Principal Engineer in the iOS Platform team, you will be responsible for designing a solid foundation for our iOS application development. You will have the company-wide scope, impact, and responsibility in shaping the future of iOS development at Reddit. You will champion the technology selection, best practices in Reddit’s iOS application development. In addition, you will act as an Architect for the iOS application at Reddit.

What you’ll do

• Own the architecture of Reddit’s iOS Mobile App and make it scale to the next 100M+ DAUs. Propose ideas/solutions to reach our vision of “making Reddit’s Mobile Apps best-in-class.”
• Identify the gaps in our current iOS App Architecture, and lead redesign of the iOS platform to improve modularity, performance, and quality.
• Define, measure, and execute on key user-facing performance goals, specifically minimizing App Not Responding (ANR) rate, reducing app launch time (Time to Interactive/TTFF), and eliminating slow/dropped frames.
• Improve observability and harden data quality for all key performance areas, including establishing reliable telemetry, monitoring, and guardrails for ANR rate, app launch time, and slow/dropped frames.
• Drive a company-wide culture of performance, ensuring that every iOS engineer at Reddit has the tools and skills needed to own the performance of their product surfaces.
• Mentor iOS developers across the company.
• Be the go-to person for developers on complex problems in iOS development.

What we expect from you

• Deep experience-based understanding of how to build mobile applications at scale.
• You are a strategic thinker who thrives on developing a long-term technical foundation and has a passion for developing scalable, well-designed software that improves people’s lives globally.
• 10+ years of Software development experience with at least 5+ years in designing/developing iOS applications. 
• Experience in influencing larger (200+ engineers) organizations on technical direction/best practices related to iOS
• Experience with modern iOS development frameworks such as Swift UI and structured Concurrency.
• Passion for developing scalable, well-designed software that improves people’s lives globally. 
• Experience working with cross-functional teams such as design, product, data teams to deliver great user experiences.
• Bachelor's degree or higher in Computer Science or a related field, or equivalent technical expertise

Benefits:

• Comprehensive Healthcare Benefits and Income Replacement Programs
• 401k with Employer Match
• Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
• Family Planning Support
• Gender-Affirming Care
• Mental Health & Coaching Benefits
• Flexible Vacation & Paid Volunteer Time Off
• Generous Paid Parental Leave 

The Test Engineering team within the Quality Engineering (QE) org is looking for a Senior Software Engineer who can work in a highly collaborative environment, design/develop tools, test frameworks, and define processes to help the teams to own and be accountable for quality. The mission of the Quality Engineering org is to enable quality in all engineering teams at Reddit by providing robust test tools and frameworks that help establish quality standards across the development pipelines.

Responsibilities: 

• Help in building an Engineering culture that enables quality in all software feature development teams across Reddit.
• Develop and evolve test automation frameworks, tools, and services.
• Analyze production issues, identify test gaps across the entire testing stack and make systemic improvements to automated testing
• Maintain test infrastructure stability in non-production environments.
• Participate in troubleshooting and triaging of issues with different teams to drive towards root cause identification and resolution.
• Influence the entire engineering organization on unit/integration/end-to-end tests.

Required Qualifications: 

• 5+ years of experience as an SDET, or as a Software Engineer for Android platform
• 3+ years in Android development
• Experience in designing and building scalable automated test frameworks, tools, and services for testing mobile applications
• Experience in writing, executing, and monitoring automated test suites using a variety of technologies such as Espresso and/or, UIAutomator using Kotlin.
• Preferred experience in JetPack Compose.
• Experience in unit, snapshot, and end-to-end testing of Android applications
• Experience in building test frameworks and automated tests for native Mobile applications 
• Strong understanding of CI/CD process and quality checks in the workflow.
• Strong understanding of QA methodologies for mobile applications releases. 
• Working proficiency and communication skills in verbal and written English.

Benefits:

• Comprehensive Healthcare Benefits and Income Replacement Programs
• 401k with Employer Match
• Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
• Family Planning Support
• Gender-Affirming Care
• Mental Health & Coaching Benefits
• Flexible Vacation & Paid Volunteer Time Off
• Generous Paid Parental Leave 

DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk.

Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets.

While previous experience in the trading and finance industry is beneficial, we’re looking for talented software engineers with or without industry-specific expertise. We are open to remote workers for this role with the correct set of skils.

UP (Unified Platform) consolidates data and technologies into a comprehensive solution, accelerating time to market. Optimizing decision-making and research, our platform simplifies implementing new ideas, enhancing our competitive edge.

UP - PI (Platform Infrastructure) Writes and operates systems that accelerate other development teams. They provide managed services to technologists across all of DRW, helping domain experts focus on their business-critical goals. They create software to connect people, projects, and information, preventing silos and opacity.

For the appropriate candidate, we are open to remote employees for this role.

Expectations:

• Write, maintain, operate and improve managed infrastructure services for technologists firm-wide
• Design and communicate standards for how centrally managed services can be used
• Support internal technologists with triage, education, and consulting
• Write, maintain, operate, and improve bespoke applications for internal use, focused on visibility and integration across teams.
• Enable other teams to focus on business domains.
• Influence outcomes through dozens of software teams.
• Broadcast contagious passion for developer experience.
• Consolidate diverse and redundant approaches to common problems.

Desirable Experience:

• Three or more years of high impact contributions in Software Engineering, DevOps, SRE, Platform Engineering or adjacent roles
• Expertise in operating infrastructure at scale
• Expertise in Kubernetes, Apache Airflow, Kafka, Redis
• Proficiency in at least one of Python, Go, Java, Ruby
• Comfort deploying software to the cloud and on-premises
• Proven success in elevating standards for non-functional requirements like security, observability, reliability, and speed of delivery
• Informed perspective about AI Agents as development tools
• Record of accomplishment of enhancing the capabilities of other engineers and teams

The annual base salary range for this position is $100k to $175k depending on the candidate’s experience, qualifications, and relevant skill set. The position is also eligible for an annual discretionary bonus. In addition, DRW offers a comprehensive suite of employee benefits including group medical, pharmacy, dental and vision insurance, 401k (with discretionary employer match), short and long-term disability, life and AD&D insurance, health savings accounts, and flexible spending accounts.

For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice.

California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice.

[#LI-SK1] 

Lyra Tech Group is looking for a Forward Deployed AI Engineer to work directly inside our clients' businesses — rolling up your sleeves to design, build, and deploy AI-powered solutions that create real operational impact. You won't be sitting behind a desk writing specs; you'll be on-site at small and mid-size businesses diagnosing inefficiencies, earning stakeholder trust, and shipping production-grade AI agents, automated workflows, and engineering solutions that change how these organizations run. This is a hands-on, client-facing engineering role built for someone who is as comfortable presenting to a business owner as they are writing Python.

Your work as a Forward Deployment AI Engineer will include several components:  

•    Client Acquisition & Relationship Management: Identify, engage, and secure new business opportunities through
•    Embed directly with clients to discover operational pain points, map workflows, and identify high-ROI opportunities for AI and automation
•    Design and build AI agents using frameworks such as LangChain, LangGraph, AutoGen, or similar — including tool-use, memory, and multi-agent orchestration patterns
•    Develop AI-powered workflows that integrate with clients' existing systems (CRMs, ERPs, cloud platforms, communication tools, etc.)
•    Engineer automation solutions across areas such as document processing, data extraction, reporting, customer communication, and internal operations
•    Own the full delivery lifecycle — from scoping and architecture to build, testing, handoff, and lightweight documentation
•    Train and enable client teams to maintain and iterate on solutions post-deployment
•    Serve as a trusted technical advisor, translating complex AI capabilities into clear business value for non-technical stakeholders
•    Contribute internally by codifying reusable components, playbooks, and delivery templates that scale across the practice

Our ideal Forward Deployment AI Engineer has the following qualifications:

•    Bachelor's degree in Computer Science, Engineering, Information Systems, or a related technical field
•    Must be legally authorized to work in the United States without employer sponsorship 
•    2+ years of professional experience in software engineering, AI/ML engineering, or a technical consulting role
•    Working proficiency in Python and familiarity with REST APIs and cloud services
•    Hands-on experience building with LLM APIs (OpenAI, Anthropic, Gemini, or similar)
•    Understanding of prompt engineering, RAG (Retrieval-Augmented Generation), and agentic workflow patterns
•    Ability to work independently in ambiguous, fast-moving client environments
•    Strong communication skills — you can explain a vector database to a CFO without losing them
•    Willingness to travel regularly to client sites in the Chicagoland area (estimated 40–60%) 

Preferred
•    Experience with workflow automation platforms (Zapier, Make, n8n, or similar)
•    Familiarity with vector databases (Pinecone, Weaviate, Chroma) and embedding pipelines
•    Exposure to low-code/no-code tools alongside custom-code solutions
•    Prior client-facing, consulting, or forward-deployed engineering experience
•    Experience working with SMB clients across industries such as professional services, healthcare, logistics, or retail

Who Thrives in This Role
You're a builder who gets energy from solving real problems for real people. You're not waiting for perfect requirements — you ask good questions, form a hypothesis, and get something in front of stakeholders fast. You're comfortable being the most technical person in the room for one hour and a junior learner the next. You care about the outcome, not just the code.

The targeted salary for this role is $120,000-$150,000 per year and will operate out of the Naperville office on a hybrid basis.

Lyra Tech Group is an equal opportunity employer. We celebrate diverse perspectives and are committed to building an inclusive team.

The Hardware team at Hudson River Trading (HRT) creates high performance compute engines using FPGA and ASIC technology to drive low latency trading decisions on global markets. We build custom solutions across the spectrum of speed and smarts: from bespoke circuits to world-class machine learning accelerators.

FPGAs and ASICs are critical pieces of our technology stack. We are looking for talented hardware developers to architect and design complex systems on a highly collaborative global team. In this role, you'll identify efficient ways to perform on-the-fly transformations of market data and implement models with complex data structures in RTL. Deep knowledge of SystemVerilog, FPGA internals and/or ASIC primitives, computer architecture, and vendor tool suites are essential to succeeding in this role. Expertise in networking protocols, CPU design, and/or machine learning accelerators is a big plus. No financial experience is necessary.

Responsibilities

• Collaborate with a cross-functional team to develop and deploy custom FPGA and/or ASIC solutions for a wide range of trading applications
• Investigate new technologies and tools
• Contribute to a nimble hardware development tech stack

Qualifications

• Ability to describe hardware designs at a high level, low level, or anywhere in between
• Brilliant design, optimization, debugging and problem solving skills
• Professional experience (2+ years) in RTL design for FPGA or ASIC
• Expert SystemVerilog development skills with a thorough understanding of the language 
• Expert on low level FPGA or ASIC architectures, with a deep understanding of what makes them "tick"
• Skilled in network communications, processing pipelines, and/or machine learning
• Working knowledge of Python and/or C++
• Comfortable in a Linux environment
• Strong verification experience
• Familiarity with AMD Vivado is a plus
• A bachelor’s degree in computer science, electrical engineering, or a related field

This job is accepting ongoing applications and there is no application deadline.

The estimated base salary range for this position is 200,000 to 300,000 USD per year (or local equivalent). The base pay offered may vary depending on multiple individualized factors, including location, job-related knowledge, skills, and experience.

This role will also be eligible for discretionary performance-based bonuses and a competitive benefits package which includes medical, dental, vision, basic life insurance, and enrollment in our company’s retirement savings plans. Employees will receive sick and parental leave, as well as other paid time off (including 20 vacation days and 10 paid holidays in the US). Please note that benefits and time off policies will vary across non-US locations.

In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.

The Systems Development team builds and maintains the platform that is shared by all Systems teams to provision, monitor, and manage HRT’s server and network infrastructure. As a Systems Software Engineer with a focus on Security, your main focus will be tool development in Python and Go to engineer creative solutions to security challenges. You’ll improve and integrate our existing tools and libraries across the platform, as well as design and build new ones to make trading, research, installation, and monitoring systems easier to manage, more secure, and more reliable. Strong Python skills and development experience are required, along with Unix experience and interest in the security space.

This role offers a unique opportunity to make a significant impact on a critical part of our existing and growing infrastructure. Your responsibilities will vary, but a typical day in the life might look like:

• Building and maintaining tools and software features to automate systems engineering workflows related to secure machine provisioning, monitoring, metrics collection, maintenance, secrets management, and network configuration
• Troubleshooting software bugs on a fleet of Linux machines, including application, network, operating system, and/or kernel issues
• Writing configuration management code to build, deploy, and maintain new services
• Helping to set the general direction for the Systems Python platform
• Working across HRT’s engineering teams to help create solutions to a variety of security challenges

Qualifications

Required:

• Strong Python programming
• Ability to debug and analyze problems quickly
• Ability to learn at a fast pace and apply new skills effectively
• Strong grasp of computer science fundamentals and software design patterns
• Solid understanding of Linux/UNIX operating systems 
• Interest in and awareness of security best practices

Preferred:

• Understanding of Debian operating system
• Familiarity with systems configuration management and monitoring technologies 
• Familiarity with continuous integration and continuous deployment tools and processes
• Understanding of networking protocols

Profile

• BS and/or MS in computer science or a related field
• 2+ years of relevant experience, including programming in Python
• Experience using automation to solve problems and improve process efficiency
• Acts effectively as a team player, but also works well independently 
• Skilled at juggling multiple tasks while maintaining meticulous attention to detail
• Familiarity with open-source software

The Research and Development (R&D) team at Hudson River Trading (HRT) builds and maintains the computers, networks, data storage, operating systems, and software that allow our trading strategies and research environment to operate worldwide 24/7. The Storage team within R&D manages hundreds of petabytes of storage to facilitate industry-leading AI/ML-based trading.

We are seeking an experienced Storage Engineer who enjoys being challenged, appreciates an open and collaborative organizational structure, and thrives in a fast-paced environment. In this role, you will manage our existing storage infrastructure and be responsible for the design, automation, and management of future storage solutions to support our large-scale research environment. This is an exciting opportunity to join a small team focused on HPC storage and help set the direction for storage solutions at HRT. You’ll have freedom to research, propose, and test new hardware and software to improve the performance and usability of our research environment.

Responsibilities

• Design, deploy and manage a variety of storage solutions
• Troubleshoot complex storage, OS, and networking issues
• Build tools to improve the performance and monitoring of storage clusters
• Research and experiment with new storage solutions

Qualifications

• Knowledge of distributed file systems used for large-scale cluster computing (Lustre, CephFS, GPFS, etc.) 
• Ability to design a home grown NAS storage solution with redundancy and high availability
• 3+ years of experience in HPC-like environments with large scale storage deployments greater than 1PB
• 3+ years of experience with scale-out enterprise storage solutions such as Isilon, VAST, NetApp, and Pure
• Extensive experience with Linux troubleshooting and NFS
• Strong knowledge of Linux, ZFS, and other Linux filesystems
• Proficient in Python and shell scripting 
• Strong cross-functional communication skills
• Ability to analyze and solve problems quickly in a fast-paced environment
• Exceptional time management skills and the ability to balance independent and collaborative workflows 
• Eager to learn and apply new skills

The estimated base salary range for this position is 150,000 to 250,000 USD per year (or local equivalent). The base pay offered may vary depending on multiple individualized factors, including location, job-related knowledge, skills, and experience. This role will also be eligible for discretionary performance-based bonuses and a competitive benefits package.

Hudson River Trading’s High Performance Computing (HPC) Network Engineering team designs and engineers the low-latency communications infrastructure that underpins our incredibly large GPU and CPU compute clusters. Our mandate is to architect, optimize, and scale the high-performance LAN and WAN infrastructure that interconnects globally distributed, large-scale on-prem data centers, enabling them to grow rapidly and operate at peak performance in support of HRT’s demanding computational workloads. 

We are looking for a Network Engineer with deep experience in designing, deploying, and scaling networks for large-scale HPC environments. You will be building the next generation of infrastructure required by a premier algorithmic trading firm operating at the forefront of technology and finance.

This position requires deep technical skills, along with the  product leadership and vision needed for the future of cloud-scale networking. You’ll have broad responsibilities and freedom to analyze and solve problems, and your solutions will have an immediate impact on our operations worldwide. We’re looking for someone who loves  technology and is excited about tackling big picture problems. You will work on a wide variety of projects to enhance the performance and capacity of the network and contribute to both the management and the technical nitty-gritty of our computing architecture. Our people and our compute capabilities are our two most important differentiators, and that is where we are investing the most.

Responsibilities

• Network design, product selection, routing, configuration and troubleshooting
• Closely work with our HPC Systems team, as well as other teams to scale our research environment 
• Meet with external parties for project related items as well as future endeavors
• Overall capacity planning for the data center networks
• Develop scripts and processes to increase efficiency
• Collaborate with others in the network team to solve cross discipline problems
• Provide detailed documentation 
• Mentor others as a senior resource 

Profile

• 10+ years of relevant experience
• Proven ability to prioritize workloads and manage implementation schedules with a meticulous attention to detail 
• Proactive problem-solver with the technical skills and hands-on mentality to tackle challenges in the field.
• Strong collaboration skills and a focus on continuous improvement, with the humility to own and learn from mistakes 

Skills

• Excellent oral and written communication skills: able to distill complicated issues into clear and concise terms
• Able to create and maintain clear and effective technical documentation
• In depth understanding of common layer 2 and layer 3 network protocols (OSPF, BGP, PIM, IGMP, RoCEv2, spine-leaf architecture, and VXLAN) and best practices for them
• Proven ability to select and work with vendors to engineer switches for next-generation computing environments
• Experience managing Arista (EOS), Cisco (NX-OS), Nvidia (Cumulus) and SONiC-based switches, as well as an interest in exploring new platforms
• Strong design skills in computing and grid networks, with expertise in capacity planning, and full lifecycle project management
• Experience with packet decoding and analysis tools such as tcpdump and Wireshark
• Experience with public cloud networks, such as AWS, GCP, Azure
• Familiarity with configuration management tools, such as Ansible or Salt is desirable to support zero-touch network management
• Familiarity with Python, Prometheus, Grafana, ELK, GitHub is desirable
• Understanding of basic power consumption and cooling issues in a data center environment
• Knowledge of fiber optics technology and cabling standards ranging from 1 to 800 Gbps. Ability to sort through specs and make recommendations on appropriate purchases.
• Skilled in Unix/Linux command line utilities and networking stack
• Experience with AI style network designs and workloads is preferred

The estimated base salary range for this position is 200,000 to 300,000 USD per year (or local equivalent). The base pay offered may vary depending on multiple individualized factors, including location, job-related knowledge, skills, and experience. 

This role will also be eligible for discretionary performance-based bonuses and a competitive benefits package which includes medical, dental, vision, basic life insurance, and enrollment in our company’s retirement savings plans. Employees will receive sick and parental leave, as well as other paid time off (including 20 vacation days and 10 paid holidays in the US). Please note that benefits and time off policies will vary across non-US locations.

Hudson River Trading (HRT) is looking for a Junior Crypto Electronic Trading Support Engineer to join our Trade Operations (TradeOps) team in our London office. This team is responsible for managing HRT’s live trading environment, one of the most robust and efficient electronic trading platforms in the world. This includes configuring, monitoring, and optimizing the firm’s crypto trading as well as handling related risk, regulatory, and development tasks. The TradeOps team focuses on automating common tasks and preparing for the unexpected: your day could consist of debugging to get a process running in time for the market open, making a difficult on-the-spot decision that balances compliance, risk, and PnL during trading hours, or coordinating the technical rollout of a new trading strategy. 

Being a member of TradeOps at HRT supporting crypto means working on a tight-knit, highly productive team. We're looking for someone who loves technology, is passionate about crypto, and wants to work on a broad range of projects using whatever tools best solve the problem at hand. Excellent cross-functional communication skills are a must, along with a can-do attitude.

In a high-performance environment, immediate awareness of and reaction to systems and trading issues is essential. That’s where HRT’s Electronic Trading Support Engineers come in. You’ll be responsible for onboarding new crypto markets, managing new initiatives, and ensuring a smooth trading day. You will be the first line of defense when issues arise, and the subject matter expert on recent changes to the production trading platform. The TradeOps team’s scope covers everything from systems infrastructure to compliance, risk management, overnight clearing, and performance improvement. 

Please note: this role requires working during 3PM - 11PM GMT / 4PM - 12AM BST hours, with weekends/holidays alternating among the team.

Responsibilities

• Support live crypto trading and other asset classes as needed
• Handle order flow from HRT’s trading desks
• Respond to external market alerts and outages
• Interface with exchanges & other external parties to support trading

Qualifications

• 1-3 years of experience in a similar role or internship
• Bachelor’s degree in a technical discipline
• Working knowledge of UNIX systems, Bash, and Python
• Excellent communication skills and the ability to interface with developers and traders
• Strong organizational skills and meticulous attention to detail
• Excited to work independently in a fast-paced, high pressure environment
• Strong interest in crypto – you follow the digital assets space in your spare time
• Understanding of various financial products, including equities, crypto products, and derivatives is a plus
• Overall interest in market structure and the trading industry
• Series 7 or 57 certification or a willingness to obtain certification
• Ability to work during 3PM - 11PM GMT / 4PM - 12AM BST hours, with weekends/holidays alternating among the team

Hudson River Trading (HRT) is looking for a Junior Electronic Trading Support Engineer to join our global Trade Operations (TradeOps) team in NYC. This team is responsible for managing HRT’s live trading environment, one of the most robust and efficient electronic trading platforms in the world. This includes configuring, monitoring, and optimizing the firm’s trading as well as handling risk, regulatory, and development tasks. The TradeOps team focuses on both automating common tasks and preparing for the unexpected. Your day could consist of debugging to get a process running in time for the market open, making a difficult on-the-spot decision that balances compliance, risk, and PnL during trading hours, or coordinating the technical rollout of a new trading strategy. 

Being a member of TradeOps at HRT means working on a tight-knit, highly productive team. We're looking for someone who loves technology and wants to work on a broad range of projects using whatever tool(s) best solve the problem at hand. Excellent communication is a must, along with a can-do attitude.

Role

In a high performance environment, immediate awareness of and reaction to systems and trading issues is essential. That’s where HRT’s Electronic Trading Support Engineers come in. You’ll be responsible for managing new initiatives and ensuring a smooth trading day. You’ll act as the first line of defense when the inevitable happens, and the subject matter expert on recent changes to the production trading platform. The team’s scope covers everything from systems infrastructure, to compliance, risk management, overnight clearing, and performance improvement. 

Responsibilities 

• Support live trading during US market hours
• Handle order flow from HRT’s trading desks
• Respond to external market alerts and outages
• Interface with exchanges & other external parties to support trading 

Qualifications

• Bachelor’s degree in a quantitative discipline (CS, Engineering, Physics, Math, etc.)
• Working knowledge of UNIX systems
• Experience with a scripting language (Python, Perl, Bash)
• Excellent communication skills and enjoy interfacing with clients, both internal and external
• Incredibly organized, with a high attention to detail
• Excited to work independently in a very fast-paced, high pressure environment
• Poses an understanding of Market Data/Order Entry systems and/or an interest in how modern electronic markets work
• Industry experience and/or Series 7 or 57 certification is preferred if applicable, but not required - recent graduates with relevant knowledge can be considered

The estimated base salary range for this position is 100,000 to 150,000 USD per year (or local equivalent). The base pay offered may vary depending on multiple individualized factors, including location, job-related knowledge, skills, and experience. This role will also be eligible for discretionary performance-based bonuses and a competitive benefits package.

Hudson River Trading (HRT) is seeking curious, thoughtful engineers who enjoy working with data and solving real-world technical problems to join our growing Market Structure Analysis team. In this role as a Quantitative Latency Engineer, you’ll apply data-driven methodologies to understand and optimize trading technology and real-time interactions with financial markets across the globe, spanning traditional and crypto exchanges. No prior finance experience is needed! 

Responsibilities

• Contribute directly to impactful improvements to HRT’s low-latency trading systems
• Analyze large datasets to understand how complex systems and networks behave in real-world conditions, such as exchange technology and performance of HRT systems
• Build Python-based tools and scripts to collect, clean, and visualize data in a clear and actionable way
• Design and run experiments to measure the impact of changes and identify opportunities for improvement
• Collaborate closely with HRT’s Algorithm Development, Trading Technology, and Business Development teams to discover, research, and implement improvements to HRT’s architecture
• Liaise with exchanges globally to better understand their technology and stay up to date on changes and improvements

Qualifications

• A technical degree or equivalent practical experience
• Experience with Python and Pandas 
• Proficiency in data analytics including statistics, data visualization, and working with large data sets
• Strong curiosity about how financial systems, networks, and cutting-edge technology work, and a willingness to learn new concepts quickly
• Ability to think analytically, ask insightful questions, and approach unfamiliar problems methodically
• Strong cross-functional communication skills and an interest in collaborating with others

The estimated base salary range for this position is 200,000 to 300,000 USD per year (or local equivalent). The base pay offered may vary depending on multiple individualized factors, including location, job-related knowledge, skills, and experience. This role will also be eligible for discretionary performance-based bonuses and a competitive benefits package.

Hudson River Trading (HRT) is seeking a Junior Trading Systems Engineer to join our growing Trading Systems Infrastructure team. This team designs, builds, and maintains the infrastructure that powers our global trading, and is responsible for ensuring optimal performance and uptime of the ultra low-latency operating systems, automation software, and development tools that allow our trading strategies to run worldwide 24/7.

As a Junior Trading Systems Engineer, you’ll work on projects focusing on our real-time production trading environment and tackle problems that require high availability, high throughput, and ultra low-latency solutions. The ideal candidate possesses a passion for coding and automation, is eager to learn new skills to help build an elegant stack, and has the ability to handle challenging technical issues within a dynamic and fast-paced environment. 

Responsibilities

• Manage worldwide Linux-based trading infrastructure by contributing to the planning and execution of complex technical projects and tasks
• Troubleshoot hardware and software issues across the stack 
• Plan and implement system installations and upgrades 
• Deploy, configure, and test internal and external applications 
• Improve documentation and reduce technical debt
• Benchmark the performance of the trading stack, working with subject matter experts across the organization
• Join an on-call rotation schedule to cover trading hours and weekend shifts, as needed

Qualifications

• 2+ years of relevant experience managing Linux systems: you can install packages, manage users, control services, and know where to look for system logs, and you understand TCP/IP networking, default gateways, and how to debug connectivity problems
• Familiarity installing and configuring Linux systems, from hardware and networking to kernel to applications 
• Knowledge of Debian/Ubuntu is desirable
• Basic familiarity with configuration management tools, particularly SaltStack – some knowledge of Puppet, Ansible, Chef, or CFEngine is also desirable
• Proven programming experience: you don't just know what big-O notation is, you've also built working software and can explain and defend your design
• Basic shell (bash) scripting experience
• Experience using JIRA
• Strong cross-functional communication and organization skills
• Experience with production systems, as well as some cloud experience in AWS or GCP, is desirable but not required

The estimated base salary range for this position is 120,000 to 160,000 USD per year (or local equivalent). The base pay offered may vary depending on multiple individualized factors, including location, job-related knowledge, skills, and experience. This role will also be eligible for discretionary performance-based bonuses and a competitive benefits package.

The Hardware team at Hudson River Trading (HRT) creates high performance compute engines using FPGA and ASIC technology to drive low latency trading decisions on global markets. We build custom solutions across the spectrum of speed and smarts: from bespoke circuits to world-class machine learning accelerators.

These high performance designs require even higher performance verification. We are looking for experienced Design Verification (DV) engineers who are skilled at writing testbenches and building verification environments to exercise complex HDL. Our ideal candidate is not only an ace tester, but a practicing toolsmith. You know the EDA landscape and want to be part of a team actively working to rethink, redesign, and surpass the status quo. For example, members of our team are active maintainers of popular open source projects such as Slang, Verilator, and Cocotb.

FPGA and ASIC verification is part of an innovative, growing team at HRT which is integral to the success of our trading. You can expect to always be challenged by the ever-changing financial markets as you work to ensure correctness and robustness of our critical hardware in an extremely fast-paced, real-time environment. No financial experience is necessary.

Responsibilities

• Creating testbenches and tests for our hardware platform, leveraging a hybrid open-source/proprietary, highly flexible environment
• Writing detailed verification plans
• Quickly root-cause RTL bugs
• Collaborating directly with designers for rapid bringup of new projects and debugging of existing designs
• Managing test suites and continuous integration infrastructure
• Developing and improving open-source and internal tools

Qualifications 

• Superb debug and analytical skills 
• Professional experience (2+ years) in RTL functional verification for FPGA or ASIC
• Experience with code and functional coverage collection/analysis
• Experience with SystemVerilog and industry-standard frameworks such as UVM
• Experience with Python
• Comfortable in a Linux environment
• Familiarity with Verilator and/or Cocotb preferred
• C++ experience is a plus
• A bachelor’s degree in computer science, electrical engineering, or a related field

The estimated base salary range for this position is 175,000 to 250,000 USD per year (or local equivalent). The base pay offered may vary depending on multiple individualized factors, including location, job-related knowledge, skills, and experience. This role will also be eligible for discretionary performance-based bonuses and a competitive benefits package.