With teams in Denver, San Francisco, and New York, we support more than 500,000 small businesses nationwide and are building a workplace that reflects the people we serve. All full-time employees receive competitive base pay, benefits, and equity (RSUs) , because everyone who helps build Gusto should share in its success. Offer amounts are determined by role, level, and location.

AI is a fundamental part of how work gets done at Gusto. We expect all team members to actively engage with AI tools relevant to their role and grow their fluency as the technology evolves. AI experience requirements vary by role and will be assessed during the interview process.

About the Role:

At Gusto, we believe the next frontier of competitive advantage is the intelligence of the systems that power our people. As the Sr Principal PM, AI Workforce Enablement, you are the architect of the "Superhuman Agent." You won't just manage tools; you will redefine the relationship between Gusto’s workforce and technology.

You are responsible for evolving our internal foundation into a proactive, agentic platform where AI handles the cognitive load, allowing our Go-to-Market (GTM) and Service teams to focus on high-value human connection. You will lead the transition of our legacy ecosystem into a future-state "exoskeleton" that empowers every employee to deliver an unparalleled, frictionless experience to our customers.

Gusto is looking for a hands-on builder to take on this leadership mantle as we rethink how people grow in an AI-native company. This role is not just about designing the systems that shape growth day-to-day, but the actual mechanics of work. You will be responsible for building new architecture and tearing down what no longer serves us.

The goal is simple but hard: make growth obvious, continuous, and hard to avoid. We’re looking for a leader who can balance strategic influence with hands-on craft,someone who can guide senior Gusto leaders through AI-native data strategy, coach data scientists on impactful problem solving, and dive in to drive forward statistically rigorous analyses when needed.

About the Team:

The Unified Service Platform (USP) product team serves as Gusto’s architectural backbone, responsible for engineering the intelligent, AI-driven ecosystem that brings GTM and Service operations into alignment. Our mission is to replace fragmented point solutions with a singular System of Intelligence,a digital exoskeleton that strips away administrative friction so our teams can focus on what matters most: our customers.

Through our commitment to a #OneGusto experience, we provide the platform that ensures every internal interaction is backed by the full context of the customer journey. We are an AI-native team building "agentic" solutions that transform how work happens. By mastering the AI-Human-AI loop, we own the delivery of a seamless, cross-channel journey across voice, chat, and email.

Our goal is to ensure that our internal technical excellence creates an instant, easy and effortless experience for every business Gusto serves.

Here’s what you’ll do day-to-day:

• Architect of the "System of Intelligence": Lead the evolution of Gusto’s internal workspace by integrating 1P (first-party) and 3P (third-party) systems into a unified platform. Transform CRM into a proactive platform that anticipates agent needs and triggers automated workflows across the entire tech stack before manual intervention is required.

• Design the Future-State Agent Experience: Build the product mechanics for a symbiotic "AI-Human-AI" loop, where intelligent systems handle high-volume tasks and documentation, elevating our human experts to focus on high-value, high-empathy problem solving.

• Engineer the "Digital Exoskeleton": Ship real-time, context-aware assistance and agentic tools that eliminate cognitive load, enabling every Gustie to operate with "superhuman" speed and accuracy across voice, chat, and email.

• Lead with Technical Craft: Partner with Data Science and Engineering to bridge the gap between high-level AI strategy and rigorous execution, ensuring our models drive measurable gains in both agent productivity and employee sentiment.

Here’s what we're looking for:

• Visionary Product Leadership: 10+ years of experience in product management, with a proven track record of leading high-stakes internal platforms, RevOps, or Service technology at scale.

• AI Builder & Strategist: AI/ML specialist with deep expertise in LLMs and agentic workflows, building and shipping custom AI solutions that transform how teams work and scale.

• Systems Thinker: You see the "big picture" of how data and tools flow across a company and can architect solutions that solve for the end-to-end customer journey.

• Change Agent: Experience leading large-scale organizational transformations or merging complex technical teams into a unified organization.

• Human-Centric Empathy: A passion for "the work of work”,you are obsessed with making tools that employees love to use and that remove the friction from their daily lives.

• Strategic Execution: The ability to balance long-term 18-month missions (like #OneGusto) with the immediate tactical needs of a fast-growing GTM engine.

If you don't think you meet all of the criteria above but still are interested in the job, please apply. Nobody checks every box, and we're looking for someone excited to join the team.

Our cash compensation amount for this role is $204,000,000/yr to $238,000,000/yr in Denver & most major metro locations, and $240,000,000/yr to $280,000,000/yr for San Francisco, Seattle & New York. Final offer amounts are determined by multiple factors including candidate location, experience and expertise and may vary from the amounts listed above.

Gusto has physical office spaces in Denver, San Francisco, and New York City. Employees who are based in those locations will be expected to work from the office on designated days approximately 2-3 days per week (or more depending on role). The same office expectations apply to all Symmetry roles, Gusto's subsidiary, whose physical office is in Scottsdale. Note: The San Francisco office expectations encompass both the San Francisco and San Jose metro areas. When approved to work from a location other than a Gusto office, a secure, reliable, and consistent internet connection is required. This includes non-office days for hybrid employees.

Our customers come from all walks of life and so do we. We hire great people from a wide variety of backgrounds, not just because it's the right thing to do, but because it makes our company stronger. If you share our values and our enthusiasm for small businesses, you will find a home at Gusto. Gusto is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Gusto considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Gusto is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. We want to see our candidates perform to the best of their ability. If you require a medical or religious accommodation at any time throughout your candidate journey

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Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading.

About the team + role

We are building an elite team, applying frontier technologies to the world’s biggest financial problems. We’re looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn’t a place for complacency, it’s where ambitious people do the best work of their careers. We’re a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards.

At Robinhood, Developer Productivity is the backbone that enables every engineer to deliver exceptional software; faster, safer, and at scale. We design and build the systems, platforms, and experiences that make software development seamless and reliable across the company. We believe infrastructure should be invisible when working perfectly, intuitive, resilient, and empowering. Our mission is to eliminate friction, enhance feedback loops, and drive developer productivity through operational excellence, intelligent automation, and world-class tooling.

We’re looking for a Senior Staff Software Developer to lead the evolution of our developer experience and AI-powered engineering ecosystem. In this role, you’ll operate as a technical leader and architect across the organization, shaping strategy, defining standards, and driving large-scale initiatives that improve developer velocity, system reliability, and engineering quality. You’ll work at the intersection of developer tooling, platform infrastructure, and AI-assisted development, pioneering how Robinhood engineers build, test, deploy, and operate software.

This role is based in our Toronto office(s), with in-person attendance expected at least 3 days per week. At Robinhood, we believe in the power of in-person work to accelerate progress, spark innovation, and strengthen community. Our office experience is intentional, energizing, and designed to fully support high-performing teams.

Responsibilities

Technical Leadership & Architecture

• Architect and build scalable systems that enable fast, reliable delivery of full-stack applications, with a strong focus on enhancing the overall developer experience
• Set technical direction and standards for developer infrastructure across build systems, CI/CD, testing, and local development
• Lead design reviews, operational readiness, and post-incident analysis for critical developer platforms
• Leveraging AI to power the next generation development workflow

Developer Experience & Productivity

• Identify and eliminate friction across the software development lifecycle
• Build and evolve developer tooling including CLIs, configuration systems, and local/remote development environments
• Drive improvements in build systems, test automation, and deployment workflows
• Champion best practices in code quality, observability, and operational excellence

AI Tooling & Intelligent Automation

• Lead adoption of AI-assisted development tools (e.g., Copilot, Claude) across engineering teams
• Design and implement agentic workflows for development and operations (e.g., automated code generation, incident triage, root cause analysis)
• Evaluate and integrate AI agents for anomaly detection, alert correlation, and automated remediation
• Establish best practices for safe, secure, and effective use of AI in software development

Cloud, Infrastructure & Platform Systems

• Design and operate services on AWS with strong attention to scalability, cost efficiency, and security
• Lead Kubernetes-based platform improvements, including developer workflows for containerized environments
• Drive Infrastructure as Code (Terraform) strategy and adoption across environments
• Build and optimize CI/CD pipelines (e.g., Harness, Jenkins, CircleCI) with a focus on reliability and speed

Reliability & Operations

• Own non-functional requirements including availability, scalability, latency, and security
• Ensure systems are observable through metrics, logs, and alerting
• Lead incident response, postmortems, and continuous improvement efforts
• Reduce operational toil through automation and platform improvements

Cross-Functional Leadership

• Partner with Product, Platform, and SRE teams to align on long-term technical strategy
• Lead large-scale, cross-functional initiatives spanning multiple engineering teams
• Mentor senior engineers and raise the technical bar across the organization
• Contribute to a strong engineering culture centered on ownership, quality, and continuous improvement

Requirements

• 10+ years of software engineering experience, including 3+ years operating at Staff or Senior Staff level
• Deep expertise in developer infrastructure (CI/CD, build systems, testing frameworks, dev environments, observability)
• Strong backend engineering skills with proficiency in Go, Python, or TypeScript/JavaScript
• Proven track record of leading complex, cross-functional platform initiatives at scale
• Exceptional system design skills, with a focus on reliability, scalability, and performance

What we offer

• Challenging, high-impact work to grow your career
• Performance driven compensation with multipliers for outsized impact, bonus programs, and equity ownership
• Top tier benefits to fuel your work, including supplemental health insurance, ancillary insurance, and mental health support programs
• Lifestyle wallet - a highly flexible employer-paid benefits spending account expenses beyond traditional benefits such as wellness, childcare, learning, and more.
• Time off to recharge including company holidays, paid time off, sick time, paid volunteer time off, parental leave, and more!
• Exceptional office experience with catered meals, events, and comfortable workspaces.
• Monthly commuter stipend to help offset in-office commuting costs

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Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading.

We are building an elite team, applying frontier technologies to the world’s biggest financial problems. We’re looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn’t a place for complacency, it’s where ambitious people do the best work of their careers. We’re a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards.

The Agentic team at Robinhood builds and ships production AI agents that power the next generation of AI financial products. Our mission is to rapidly build, evaluate, and deploy high-performance AI agents on production-grade infrastructure, strong evaluation and observability baked in, and continuous optimization support.

This role is based in our Menlo Park, CA and Bellevue, WA offices, with in-person attendance expected at least 3 days per week.

At Robinhood, we believe in the power of in-person work to accelerate progress, spark innovation, and strengthen community. Our office experience is intentional, energizing, and designed to fully support high-performing teams.

Responsibilities

• Translate product goals into measurable metrics and SLOs, and build a rigorous evaluation harness to continuously score agents performance
• Develop feedback and optimization pipelines that uses both automated metrics and human-in-the-loop evaluation signals to improve agent behavior over time
• Implement and scale optimization techniques such as Direct Preference Optimization (DPO), Proximal Policy Optimization (PPO), and reward modeling to improve agent performance.
• Launch and support fine-tuned models in production environments with robust evaluation, rollback strategies, and performance monitoring.
• Collaborate closely with applied AI/ML teams to translate state-of-the-art research in agentic reasoning, planning, and tool use into reliable, production-ready systems

What you bring

• Strong technical expertise in software development, with understanding of agentic workflows,including reasoning loops, tool invocation, memory, and orchestration of autonomous AI agents.
• Hands-on experience using Large Language Models, including prompt engineering, fine-tuning, model distillation, and deploying optimized models (e.g. via DPO, PPO) into production environments.
• Leadership and mentorship capabilities, with a track record of guiding complex technical projects and supporting the growth of teammates through code/design reviews and technical direction.
• Excellent communication and collaboration skills, with the ability to translate technical ideas into actionable plans and work effectively with cross-functional partners, including product and infrastructure teams.
• Innovation mindset and commitment to continuous learning and a bias toward action, staying at the forefront of ML/AI trends, agentic systems research, and best practices in tooling, safety, and evaluation.

What we offer

• Challenging, high-impact work to grow your career
• Performance-driven compensation with multipliers for outsized impact, bonus programs, equity ownership, and 401(k) matching
• Best-in-class benefits to fuel your work, including 100% paid health insurance for employees with 90% coverage for dependents
• Lifestyle wallet - a highly flexible benefits spending account for wellness, learning, and more
• Employer-paid life & disability insurance, fertility benefits, and mental health benefits
• Time off to recharge including company holidays, paid time off, sick time, parental leave, and more!
• Exceptional office experience with catered meals, events, and comfortable workspaces

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At Gusto, we're on a mission to grow the small business economy. We handle the hard stuff , payroll, health insurance, 401(k)s, and HR , so owners can focus on their craft and their customers.

We're looking for a Legal AI Engineer for a fixed engagement to build foundational legal team AI infrastructure. You'll design and stand up these systems, document them thoroughly, and hand them off to the team in a state where they can be maintained and iterated on internally.

Here’s what you’ll do day-to-day during this engagement:

• Connect the AI Stack

Take the skills, workflows, and dashboards that individual team members have already built in Claude and package them into shared, maintainable assets the whole team can use.

• Wire together current AI tooling , build MCP integrations so data flows where it's needed without manual handoffs; engage with Gusto's AIT team on connections where native integrations don't exist.

• Further operationalize AI tools and integrations as agreed upon.

• Build a Legal Repository

Stand up a structured, queryable knowledge layer fed by the team's existing research, positions, precedents, and playbooks , one that can be searched by any team member, can be invoked by automated workflows, and continuously ingests new information as the team works in the tool.

• Implement AI Workflows

Working from priorities set by legal ops and attorneys, implement AI-assisted workflows for the team's highest-volume use cases , likely including contract first-pass review, matter intake and routing, litigation operations to enable intake, routing and response drafting for subpoenas, demand letters and notices and prompt libraries for recurring legal tasks.

• Document and Hand Off

Deliver a maintenance runbook for every system built and train designated team members on administration, so nothing requires the contractor to maintain it after the engagement ends. Establish adoption baselines so the team can measure progress and know what to iterate on next.

Here’s what we're looking for:

• Hands-on experience building and shipping AI-assisted workflows , not evaluating tools or writing specs, but actually standing systems up. Be ready to walk through something you built from prompt to production.

• Direct, working proficiency with Claude or comparable LLMs: prompt engineering, agentic workflows, and iterating on outputs until they're reliable. This is the core technical skill for everything we're building.

• Integration experience , you've wired tools together using APIs, MCPs, or similar patterns, and you know what breaks and why. Coordinating with engineering or IT teams to scope and execute those connections is second nature to you.

• Comfort operating in ambiguity. You can take a business problem and context from attorneys or legal ops , not a technical spec , and turn it into a working system. You know how to ask the right questions, fill in gaps with judgment, and move forward.

• Comfort working within internal technology governance processes. You know how to communicate with an IT or AI team on tool approvals, data access, and security reviews , and you don't try to go around them. You build within the guardrails, and you help the team understand why those guardrails matter.

Compensation will be $150/hr, approximately 20 hours per week, commensurate with experience and expertise. This is a 3-month engagement.

Gusto has physical office spaces in Denver, San Francisco, and New York City. Employees who are based in those locations will be expected to work from the office on designated days approximately 2-3 days per week (or more depending on role).

Our customers come from all walks of life and so do we. We hire great people from a wide variety of backgrounds, not just because it's the right thing to do, but because it makes our company stronger. If you share our values and our enthusiasm for small businesses, you will find a home at Gusto.

Gusto is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic.

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Mixpanel turns data clarity into innovation. Trusted by more than 29,000 companies, including Workday, Pinterest, LG, and Rakuten Viber, Mixpanel's AI-first digital analytics help teams accelerate adoption, improve retention, and ship with confidence.

The GTM Systems & Tools team at Mixpanel helps the Sales, Marketing & Finance teams execute their global and regional strategies through:

Maintaining a robust, trustworthy & scalable CRM system Automating key workflows that drive efficiency Identifying, proposing & supporting tools that fit our overall GTM strategy and data architecture

This team sits under the GTM Org and works very closely with the growth & data teams to help achieve our broader architecture & vision.

About the Role

This is a hybrid role based out of the San Francisco Bay Area or New York City Area. As a Sales Systems Engineer, you will be a technical partner to our stakeholder teams and be involved in the full software development life cycle starting from understanding the business needs/problems, translating them into technical requirements, identifying solutions, executing on them, creating and testing user stories and following through until the business problem is solved.

This person must be comfortable communicating with various teams and stakeholders to understand business problems and elicit requirements. This is a critical role for Mixpanel at this stage of our growth, directly impacting our ability to meet our revenue goals.

We're Looking For Someone To

Design and develop secure, scalable technical solutions on the CRM (Salesforce) platform using out of the box automations such as Flows, validations, and security settings Provide technical guidance to key stakeholders for new projects, enhancements, and bug fixes related to solutions being delivered on the Salesforce platform Maintain strong knowledge of Salesforce system architecture and development best practices Assist in increasing the efficiency of our GTM teams and in scaling our GTM stack (Co-pilot, Clari, Outreach, Customer.io, LeanData, Hubspot) for rapid growth Provide ongoing support and management of SFDC Function as the go-to person for enhancement requests and inquiries; Coordinate updates, modify fields and workflows, etc as needed Support day-to-day management of Salesforce configuration – customizing core architecture as well as profiles and user permissions Support day-to-day management & execute changes of our lead routing/territory management system Drive data quality and enrichment projects across the systems Own the integrity of data at all stages in our GTM stack Manage enrichment vendors, optimizing for data integrity and accuracy Work with internal teams to establish processes that improve the data integrity of all objects; define best practices to help build increased seller productivity and SFDC hygiene

Minimum Qualifications

3+ years experience in supporting full-stack solutions using Salesforce Experience in Agentic workflows + leveraging AI to increase efficiency Proficient in requirements gathering, documentation, and user testing Experience in Salesforce customization and automation (Flows, Validation rules, Approval process) Solid understanding of Salesforce platform capabilities, features, and best practices Skilled in leveraging CPQ tools to optimize sales workflows and pricing models Salesforce Certified Administrator Should be a creative, self-starting, fast-learning, detail-oriented team player who thrives with multi-tasking in a fast-paced environment.

Bonus points if you

Salesforce Certified Advanced Administrator Salesforce Sales Cloud Certified Start-up SaaS and rapidly expanding sales organization experience strongly preferred Proficient with data warehouses, SQL & other analytical tools (Fivetran, Hightouch) APEX Experience Hubspot certification

Compensation

The amount listed below is the total target cash compensation (TTCC) and includes base compensation and variable compensation in the form of either a company bonus or commissions. Variable compensation type is determined by your role and level. In addition to the cash compensation provided, this position is also eligible for equity consideration and other benefits including medical, vision, and dental insurance coverage.

Our salary ranges are determined by role and level and are benchmarked to the SF Bay Area Technology data cut released by Radford, a global compensation database. The range displayed represents the minimum and maximum TTCC for new hire salaries for the position across all of our US locations. To stay on top of market conditions, we refresh our salary ranges twice a year so these ranges may change in the future. Within the range, individual pay is determined by experience, job-related skills, qualifications, and other factors.

If you have questions about the specific range, your recruiter can share this information.

Mixpanel Compensation Range

$154,500-$209,500 USD

Benefits and Perks

Comprehensive Medical, Vision, and Dental Care Mental Wellness Benefit Generous Vacation Policy & Additional Company Holidays Enhanced Parental Leave Volunteer Time Off Additional US Benefits: Pre-Tax Benefits including 401(K), Wellness Benefit, Holiday Break

Culture Values

Make Bold Bets: We choose courageous action over comfortable progress. Innovate with Insight: We tackle decisions with rigor and judgment - combining data, experience and collective wisdom to drive powerful outcomes. One Team: We collaborate across boundaries to achieve far greater impact than any of us could accomplish alone. Candor with Connection: We build meaningful relationships that enable honest feedback and direct conversations. Champion the Customer: We seek to deeply understand our customers’ needs, ensuring their success is our north star. Powerful Simplicity: We find elegant solutions to complex problems, making sophisticated things accessible.

Why choose Mixpanel?

We’re a leader in analytics with over 9,000 customers and $277M raised from prominent investors: like Andreessen-Horowitz, Sequoia, YC, and, most recently, Bain Capital. Mixpanel’s pioneering event-based data analytics platform offers a powerful yet simple solution for companies to understand user behaviors and easily track overarching company success metrics. Our accomplished teams continuously facilitate our expansion by tackling the ever-evolving challenges tied to scaling, reliability, design, and service. Choosing to work at Mixpanel means you’ll be helping the world’s most innovative companies learn from their data so they can make better decisions.

Mixpanel is an equal opportunity employer supporting workforce diversity. At Mixpanel, we are focused on things that really matter,our people, our customers, our partners,out of a recognition that those relationships are the most valuable assets we have. We actively encourage women, people with disabilities, veterans, underrepresented minorities, and LGBTQ+ people to apply. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity or expression, sexual orientation, age, marital status, veteran status, or disability status. Pursuant to the San Francisco Fair Chance Ordinance or other similar laws that may be applicable

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Your responsibilities will include:

• Design, develop, and maintain software for our high-fidelity software simulation platform
• Implement and improve software- and hardware-in-the-loop simulations to validate satellite software and flight algorithms
• Accelerate the software development process through infrastructure improvements
• Develop and enhance Monte Carlo simulation tooling for assessing system performance under various conditions
• Incorporate physics-based models into simulation
• Develop analysis and visualization tooling to provide insight into our system
• Support GNC operations for our fleet of satellites, including on-console and on-call rotations

Requirements include:

• BS or MS in Computer Science, Aerospace Engineering, or equivalent background experience
• 2-5+ years in software or building simulations of complex physical systems
• 2-5+ years experience with Python or other high-level object-oriented programming language(s)
• Ability to effectively collaborate with interdisciplinary teams on large software projects
• Strong problem-solving skills and attention to detail
• Highly motivated, self-starting, and able to perform duties autonomously without much supervision

Bonus requirements include:

• Understanding of classical or modern control theory, and basic orbital mechanics
• Knowledge of memory management, threading, and interprocess communication techniques
• Experience building and maintaining software infrastructure used across teams
• Experience in statistical analysis techniques and Monte Carlo simulation
• Experience with C/C++
• Experience with AI tooling and agentic workflows
• Experience with databases
• Experience with spacecraft design

What we offer:

All our positions offer a compensation package that includes equity and robust benefits. Base pay is just one component of Astranis's total rewards package. Your compensation also includes a significant equity package via incentive stock options, high-quality company-subsidized healthcare, disability and life insurance, 401(k) retirement planning, flexible PTO, and free on-site catered meals.

Astranis pay ranges are informed and defined through professional-grade salary surveys and compensation data sources. The actual base salary offered to a successful candidate will additionally be influenced by a variety of factors including experience, credentials & certifications, educational attainment, skill level requirements, and the level and scope of the position.

Base Salary $120,000-$175,000 USD

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At Ansys, Part of Synopsys, we're the global leader in engineering simulation software, helping innovative companies solve complex design challenges. Our cutting-edge solutions power advancements across industries, from aerospace to consumer electronics.

You Are:

You are a skilled engineer passionate about creating AI-driven solutions that elevate user productivity. With a strong background in computer science, AI, and machine learning, you bring practical experience working with Large Language Models and scripting in Python. You thrive on solving complex problems, communicate clearly, and collaborate effectively across teams. Motivated, detail-oriented, and eager to learn, you enjoy turning innovative ideas into reliable, high-impact product features.

You approach challenges with curiosity and resilience, always looking for ways to innovate and improve. Comfortable with change, you adapt quickly to new technologies and requirements. You bridge the gap between theory and real-world application, ensuring AI solutions make a meaningful impact. Collaborative by nature, you value diversity and continuous learning, helping to build a positive and high-performing team culture. Your passion for AI drives you to deliver features that empower users and transform engineering tools through intelligent automation.

What You'll Be Doing:

• Designing and implementing robust, end-to-end agentic workflows within the Ansys Mechanical product using cutting-edge AI technologies.
• Analyzing real-world usage data to iteratively improve workflow effectiveness and user experience.
• Developing and optimizing embedding pipelines and integrating with vector databases to achieve high-performance, cost-effective AI systems.
• Creating, refining, and deploying high-quality Large Language Model prompts to deliver impactful AI-powered user interactions.
• Deploying AI workflows to local networks, ensuring secure and reliable integration into existing infrastructure.
• Investigating and resolving defects in production code, enhancing software reliability and user trust.
• Developing comprehensive unit tests for new features, ensuring maintainable and error-resistant codebases.
• Analyzing results from AI workflows to drive continuous improvements in software usability, reliability, and performance.

The Impact You Will Have:

• Transforming advanced AI and agentic frameworks into tangible product features that elevate user productivity and satisfaction.
• Driving the adoption of innovative AI technologies within Synopsys' Mechanical Core, setting new standards for intelligent product design.
• Accelerating the development and deployment of high-impact AI solutions, directly influencing the capabilities of next-generation engineering tools.
• Enhancing the reliability and efficiency of AI-powered workflows, reducing operational friction for end users.
• Contributing to a culture of excellence, collaboration, and continuous learning within a high-performing engineering team.
• Enabling Synopsys to maintain its leadership in delivering intelligent, scalable, and future-ready technology solutions to a global market.

What You'll Need:

• A bachelor's degree in Computer Science or a related field, ideally with coursework in Artificial Intelligence and Machine Learning with 2+ years of hands-on experience is a plus.
• Demonstrable experience working with Large Language Models in production environments.
• Proficiency in scripting languages, especially Python, for rapid prototyping and workflow automation.
• Strong analytical and algorithmic problem-solving skills, with a focus on scalable and efficient solutions.
• Experience with unit testing, debugging, and code optimization in complex software systems.
• Familiarity with development tools such as Microsoft Visual Studio, Git, and GitHub.
• Exposure to NLP, Knowledge Graphs, and agentic workflows (reasoning, tool usage, automated task execution, Model Context Protocols).
• Knowledge of additional programming languages such as C++, C#, Go, Rust, or Java is a plus.

Who You Are:

• An innovative and adaptable engineer with a growth mindset.
• Excellent written and verbal communicator, able to collaborate across teams and present complex ideas clearly.
• A responsible, motivated team player who takes ownership and delivers results.
• Detail-oriented with a passion for quality and continuous improvement.
• Curious and proactive, always seeking new ways to solve problems and add value.

The Team You'll Be A Part Of:

You will join the Ansys Mechanical team,a dynamic, collaborative group of engineers dedicated to advancing the next generation of AI-powered agentic platforms. The team focuses on integrating state-of-the-art AI systems into the Ansys Mechanical product suite, working closely with product managers, designers, and other engineering teams to deliver innovative features that meet real-world user needs. You will find an environment that values creativity, technical rigor, and continuous learning.

Rewards and Benefits:

We offer a comprehensive range of health, wellness, and financial benefits to cater to your needs. Our total rewards include both monetary and non-monetary offerings. Your recruiter will provide more details about the salary range and benefits during the hiring process.

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Fifth Dimension is the most prominent AI company in real estate in the world, bringing the magic of AI automation to document-heavy industries. Our AI workspace helps leading investment managers, owners, and operators across the US, UK, and APAC automate complex workflows, extract insights from critical documents, and make faster, smarter decisions.

The Challenge

We're leaving a huge amount of value uncaptured because we haven't yet taken a design-led view of the product. What should the product look like to immediately communicate intelligence and connectivity? How do the first 30 seconds of a sales demo show we're an intelligence platform, not a chatbot? What's the UI that makes users want to share their work and pull their colleagues in?

What You'll Do

• Design and ship. You own the design layer end-to-end. User research through to pixel-perfect delivery. There is no handoff. You'll work shoulder-to-shoulder with engineering in London, prototype rapidly, and use AI tools to collapse the gap between idea and implementation. We ship daily. You will too.

• Define the language. You'll establish the visual standards, interaction patterns, component systems, and design principles the product grows into. Typography, hierarchy, density, motion, data visualisation. You set the bar and hold it.

• Invent AI-native interaction. Agentic workflows, streaming outputs, document intelligence, confidence signals, human-AI collaboration. There's no playbook for this. You'll be writing it. Trust, explainability, responsive agentic UI, designing intelligence. These are the problems that will define your best work.

• Talk to customers. Visit their offices. Watch them work. Run usability sessions. Sit with a portfolio manager and understand how they think about a $500M real estate portfolio. There is no research team. You are the research team.

• Design to drive growth. The first 30 seconds of a demo, the onboarding flow that lands a new team, the interface that makes a customer expand from one use case to five. Your design decisions directly drive revenue. You'll see that in the numbers, not just the Figma comments.

• Shape what gets built. You won't just execute on someone else's vision. You'll influence what the product becomes, not just how it looks. The best design work here is upstream, shaping product direction alongside the CPO and engineering.

• Raise the bar. Help product engineers develop stronger design instincts. Champion frontend quality, accessibility, and the details that separate good products from great ones. Make everyone care more about craft.

About You

You're a designer who ships. Exceptional taste, fast hands, strong opinions. You're equally comfortable in Figma and on a customer call. You don't wait for permission and you don't need months of discovery to produce something tangible. People around you would say you operate at a level above your title.

You've designed complex, data-rich interfaces for demanding professional users. Tables, dashboards, document viewers, multi-step workflows. You know what it means to design something 200 people use for 8 hours a day. Real enterprise tools, not consumer apps, not marketing sites.

You use AI tools to amplify your output and you're excited about what that means for the craft of design. You've designed AI interfaces: trust signals, agentic workflows, streaming UIs, human-AI collaboration. In production or as a side project, you've been exploring by building.

You have sharp product instinct. You shape what gets built, not just how it looks. You make trade-offs, back them up, and run your own user research. You don't need a research team to understand your users.

You thrive with autonomy. Ambiguity doesn't scare you, it's where the interesting work lives. You're energised by early-stage: building something from zero, not inheriting a playbook.

What We're Looking For

• Deep experience in product design, with a portfolio that shows real taste and craft in complex information design

• Shipped data-rich interfaces in production: tables, dashboards, document viewers, multi-step workflows for professional users

• Runs your own user research: interviews, usability tests, site visits. Energised by sitting with domain experts

• Systems thinker, designs in components and patterns, can build a design system from scratch

• Proficient with AI tools in their own workflow, uses them to move faster, not as a novelty

• At least one startup or early-stage experience where they owned design end-to-end

• Experience designing AI interfaces, trust signals, agentic workflows, streaming UIs, human-AI collaboration patterns

Nice to Have

• Has been a founding or sole designer before, knows the 'build from zero' experience

• Former founder, built businesses, wants to build product without the CEO overhead

• Adjacent domain knowledge, financial services, legal tech, data platforms

• Visible in the design community, writes, speaks, shares work publicly

• Can touch code, enough to prototype or unblock themselves

Compensation

We are a hybrid London office, everyone comes in every Wednesday, ideally more.

• Base: GBP 90,000-120,000

• Meaningful equity on a standard vesting schedule

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Responsibilities

• Design and ship production-grade machine learning systems powering conversational and agentic AI experiences
• Build systems that interpret user intent, manage context across multi-turn interactions, and handle ambiguity reliably at scale
• Develop and evolve agentic workflows including memory, context management, and multi-step tool orchestration
• Create evaluation frameworks, including LLM-as-judge pipelines, to measure quality and guide iteration
• Partner closely with product, engineering, and design to deliver seamless, user-facing experiences
• Balance experimentation with production rigor, ensuring performance, latency, and reliability at Spotify scale
• Continuously improve agent behavior through tight feedback loops between evaluation and real-world usage

Requirements

• 5+ years of experience building and shipping machine learning systems in production environments
• Experienced with large language models and have worked on real-world applications beyond experimentation; shipped and maintained large scale systems with LLMs
• Deep understanding of challenges in conversational or agentic systems, such as context handling and multi-step reasoning
• Know how to evaluate ML systems rigorously and have experience designing metrics or evaluation pipelines
• Comfortable debugging complex interactions between models, tools, and system constraints like latency
• Care about building reliable, scalable systems that deliver high-quality user experiences
• Enjoy working cross-functionally and contributing to a collaborative, inclusive team environment

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Your key responsibilities will include:

• Designing end-to-end experiences that bring together campaigns, SMS, transactional emails, and automations into a cohesive, intuitive communication system.
• Leading design for complex areas such as Automations, rich customer profiles, and full-page contact views.
• Architecting complex systems that feel simple by mapping data models, flows, and dependencies across multiple product areas.
• Driving strategy through facilitation and storytelling by leading workshops, audits, and whiteboarding sessions with Product, Engineering, Data, and other partners.
• Leveraging AI and rapid prototyping to de-risk decisions with interactive prototypes and AI/agentic workflows.
• Delivering high-quality, execution-ready design by owning the journey from discovery to delivery.
• Mentoring and elevating the team's craft by serving as a craft mentor across CRM and related communication surfaces.

As a successful candidate, you'll have:

• 10+ years of experience in product design at a digital product company, including time operating at a Staff or equivalent level.
• A portfolio that demonstrates complex, systems-level work with clear impact on user and business outcomes.
• Experience leading cross-functional workstreams from ambiguity to shipped product.
• Strong storytelling skills, using vision decks, North Star narratives, and clear artifacts to align PM, Engineering, and stakeholders.
• Exceptional communication skills, able to zoom from high-level strategy and systems to concrete UX decisions and rationale with clarity.
• Comfortable representing design decisions to leadership and cross-functional stakeholders, and connecting your work directly to business and user outcomes.

In return, you'll enjoy a range of benefits and perks, including a choice between medical plans, fertility and adoption benefits, access to supplemental insurance plans, and a competitive salary range of $223,000 - $358,800 USD.

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About Us: Fifth Dimension is bringing vibe working to document-heavy industries. Today we work with real estate businesses in the US, EU and APAC, automating complex tasks, extracting valuable insights from documents, and empowering professionals to focus on high-impact work. Our AI workspace transforms how large investment managers and developers handle leases, development documents, and investment decisions.

The Challenge It's 9 AM on a Monday. You're reviewing usage analytics from last week's release and notice a drop-off in a key workflow,you sketch out a hypothesis and a fix before standup. By noon, you've shipped a prototype using Claude Code that rethinks how users navigate large document sets, and you're demoing it to a product manager and a customer success lead. By Wednesday, you're on a call with a major real estate firm, listening to how they actually use the platform day-to-day,and you spot an opportunity nobody had articulated yet. By Thursday, you've shaped that insight into a spec, got buy-in, and started building. By Friday, you're celebrating with the team as a customer tells you: "This is exactly what we needed."

About You You're an expert software engineer who thinks in terms of user outcomes, not just code. You don't just ship features,you understand the problem space deeply, make sharp product calls, and build solutions that customers didn't know they needed until they can't live without them. You've honed your craft through years of practice across the full stack, from performant backends and well-designed APIs to responsive, polished frontends. You have strong product intuition,you know how to talk to customers, read between the lines of a feature request, and make pragmatic trade-offs between scope, speed, and quality. You're proficient with AI coding assistance tools like Claude Code, leveraging them to accelerate development and focus on higher-level product and architectural challenges. You understand that modern engineering means effectively collaborating with AI to maximise your productivity and creative potential. Details don't escape you. You take pride in the end-to-end user experience,from the API contract to the loading state to the edge case that only one customer hits. As someone who thrives in fast-paced environments, you adapt quickly and mentor other engineers while collaborating effectively with commercial teams and customers. You're passionate about your personal growth and see each complex problem as an opportunity to expand your capabilities. You actively seek challenges that push the boundaries of what's possible and value environments where you can both contribute your expertise and continue to evolve as an engineer.

Your Impact Reporting to our CTO Chen, you'll own and shape core product areas end-to-end,from discovery and design through to architecture, implementation, deployment, and customer adoption. Working closely with our skilled engineering team and commercial stakeholders, you'll combine deep technical ability with strong product sense to build capabilities that deliver tangible value to enterprise customers and drive the business forward. Day to Day, You Will Think like a Product Manager+: Own core product areas while balancing technical excellence with business impact,you don't wait for a spec, you help write it Own end-to-end delivery of complex features from discovery and definition through to production deployment and customer adoption Talk to customers regularly,understanding their workflows, pain points, and unarticulated needs to inform what you build Collaborate with product, design, and commercial teams to shape the roadmap and translate customer insight into robust technical solutions Leverage AI coding tools like Claude Code to accelerate development workflows Lead development of the systems that underpin our platform: Scalable APIs and backend services that power document processing, data extraction, and agentic workflows Reliable streaming and event-driven architectures for real-time user experiences Frontend experiences that make powerful AI capabilities intuitive and accessible Integrations with enterprise systems and third-party platforms Implement data privacy and security by design Champion engineering best practices: testing, observability, CI/CD, and infrastructure-as-code Mentor other engineers and help establish engineering and product-thinking best practices Invest in your own growth by taking on ambitious technical challenges and expanding your expertise Apply our engineering philosophy: intellectual honesty, effective time management, clear communication, and innovation

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We’re looking for a Member of Technical Staff – Principal Data Infrastructure Engineer. This role is a dynamic blend of Platform Engineering, DevOps/SRE, and Big Data Infrastructure Engineering, focused on enabling large-scale data and ML pipelines and intelligent systems. If you’ve architected big data platforms from the ground up and are eager to apply that expertise to consumer AI, we want to hear from you.

You’ll bring:

Deep technical expertise A passion for automation and observability Fluency in distributed systems Creativity to design scalable solutions And just as importantly: empathy, collaboration, and a growth mindset

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Starting January 26, 2026, Microsoft AI (MAI) employees who live within a 50- mile commute of a designated Microsoft office in the U.S. or 25-mile commute of a non-U.S., country-specific location are expected to work from the office at least four days per week. This expectation is subject to local law and may vary by jurisdiction.

Responsibilities:

Architect and maintain scalable, reliable, and observable Big Data Infrastructure for mission-critical AI applications. Champion DevOps and SRE best practices,automated deployments, service monitoring, and incident response. Build a self-service big data platform that empowers data and platform engineers and researchers. Develop robust CI/CD pipelines and automate infrastructure provisioning using Infrastructure as Code tools (Bicep, Terraform, ARM). Collaborate with Data Engineers, Data Scientists, AI Researchers, and Developers to deliver secure, seamless big data workflows. Lead technical design reviews and uphold a clean, secure, and well-documented codebase. Proactively identify and resolve bottlenecks in data pipelines and infrastructure. Optimize system performance across storage, compute, and analytics layers. Partner with Security teams to enhance system security (IAM, OAuth, Kerberos). Embody and promote Microsoft’s values: Respect, Integrity, Accountability, and Inclusion.

Qualifications:

Required Qualifications: Master’s Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 4+ years experience in business analytics, data science, software development, data modeling, or data engineering OR Bachelor’s Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 6+ years experience in business analytics, data science, software development, data modeling, or data engineering OR equivalent experience.

Preferred Qualifications: 4+ years in Big Data Infrastructure, DevOps, SRE, or Platform Engineering. 3+ years of hands-on experience managing and scaling distributed systems,from bare-metal to cloud-native environments. 2+ years deploying containerized applications using Kubernetes and Helm/Kustomize. Solid scripting and automation skills using Python, Bash, or PowerShell. Proven success in CI/CD pipeline management, release automation, and production troubleshooting. Experience working with Databricks for scalable data processing and analytics. Familiarity with security practices in infrastructure environments, including IAM, OAuth, and Kerberos administration. Proven experience with cloud-native infrastructure across Azure, AWS, or GCP. Hands-on expertise with modern data platforms like Databricks, including: Deep understanding of data storage and processing technologies: Relational & NoSQL databases Key-value stores. Spark compute engines. Distributed file systems (e.g., HDFS, ADLS Gen2). Messaging systems (e.g., Event Hub, Kafka, RabbitMQ). Capacity planning and incident management for large-scale big data systems. Solid collaboration history with Data Engineers, Data Scientists, ML Engineers, Networking, and Security teams. Familiarity with modern web stacks: TypeScript, Node.js, React, and optionally PHP. Exposure to agentic workflows, deep learning, or AI frameworks. Practical experience integrating LLMs (e.g., GPT-based models) into daily workflows,automating documentation, code generation, reviews, and operational intelligence. Solid grasp of prompt engineering techniques to design, optimize, and evaluate interactions with LLMs. Demonstrated ability to troubleshoot and resolve complex performance and scalability issues across infrastructure layers. Excellent interpersonal and communication skills, with a solid passion for mentorship and continuous learning. Experience applying LLMs to DevOps workflows, enhancing incident response, and streamlining cross-functional collaboration is a solid advantage.

#MicrosoftAI #mai-datainsights #mai-datainsights

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Reporting to the Senior Manager of Marketing Analytics, you'll take ownership of high-impact analytical work across attribution, inbound funnel analysis, target setting, and campaign measurement.

You'll work across the full data lifecycle, from building and maintaining dbt models in Snowflake that power business intelligence, to delivering executive-ready insights, to partnering cross-functionally to support important business decisions.

In this role, you'll use a modern analytics and AI-enabled workflow that includes Snowflake, Claude with MCP connections, and GitLab Duo Agent Platform in git-based team workflows.

This is a high-visibility role for someone with strong SQL skills, sound judgment in B2B software marketing analytics, and the ability to turn complex data into clear stories for senior stakeholders in our all-remote, values-driven environment.

Responsibilities

• Serve as a trusted advisor to senior Marketing and Developer Relations leaders, providing data-driven insights that inform marketing strategy, product development, and go-to-market decisions.

• Establish and scale proactive insights across the Marketing function, including experimentation and connecting marketing credit from initial touchpoints to annual recurring revenue.

• Measure the impact of community programs, developer advocacy, and evangelism efforts on awareness, adoption, and pipeline.

• Evaluate the effectiveness of demand generation programs, including trial conversion analysis across segments, lead scoring optimization, and outreach platform performance.

• Partner closely with Analytics Engineering and Data Platform teams to translate business questions into clear technical requirements and support reliable delivery in the analytics stack.

• Help evolve GitLab's multi-touch attribution approach, including attributed metric definitions and implementation across reporting.

• Contribute to annual planning cycles through partnership with Sales, Finance, and Product leadership.

• Use AI-enabled analytics workflows through GitLab Duo Agent Platform, Claude with MCP integrations, and Glean within GitLab to improve how insights are developed and shared.

Requirements

• 5+ years of experience in a data analyst or analytics engineer role, preferably in B2B software marketing analytics or in a large-scale analytics consultancy supporting similar companies.

• Strong proficiency in SQL, including the ability to connect disparate data sources and build a clear view of marketing program performance in a cloud data warehouse, ideally Snowflake.

• Experience working with senior leaders and tailoring data-driven narratives to support decision-making.

• Hands-on experience with dbt for data transformation, testing, and documentation.

• Strong understanding of B2B marketing funnel metrics, including marketing qualified leads, sales accepted opportunities, pipeline, multi-touch attribution, and conversion rate analysis.

• Experience working with marketing automation platforms such as Marketo and customer relationship management systems such as Salesforce, including data integration patterns and sync logic.

• Proficiency with a business intelligence and visualization tool, with Tableau preferred.

• Excellent written and verbal communication skills, with the ability to distill complex analysis into clear narratives for technical and non-technical audiences.

• Experience with AI-assisted analytics development, including MCP connections and agentic workflows.

• Familiarity with Git workflows for version control, continuous integration and continuous delivery, issue tracking, and merge request workflows.

• Comfort working in a remote, async-first, globally distributed environment.

About the Team

The Marketing Analytics team sits within GitLab's Enterprise Data organization and partners closely with the broader Marketing team as well as other departments across GitLab.

We build and maintain trusted, scalable data products that help inform strategic decisions for Marketing while also creating alignment with related business metrics, especially across Product and Sales.

You'll join a fully remote team that collaborates asynchronously across time zones using our shared standards, code review, and documentation to support consistency and quality.

We work on analytically complex, high-impact problems where strong data foundations, clear definitions, and thoughtful cross-functional partnerships are essential to helping stakeholders understand performance and make better decisions.

Benefits

• Benefits to support your health, finances, and well-being

• Flexible Paid Time Off

• Team Member Resource Groups

• Equity Compensation & Employee Stock Purchase Plan

• Growth and Development Fund

• Parental leave

• Home office support

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The ideal candidate will have hands-on experience administering Marketo, Salesforce, and LeanData, and deep expertise with lead routing, lead-to-account matching, and data orchestration workflows using LeanData or similar workflow automation tools.

Responsibilities:

• Own and evolve the GTM systems architecture, ensuring Salesforce, Marketo, LeanData, ZoomInfo, Qualified, Outreach, and Clay.io work together as a best-in-class, integrated ecosystem.
• Lead the design, governance, and optimization of data orchestration workflows using LeanData, including routing, prioritization, handoffs, and conversion logic across Marketing, SDR, and Sales teams.
• Design and execute a future-state operational roadmap focused on scaling B2B demand generation, ABM, and partner-led growth through automation, improved data flows, and AI-powered insights.
• Build automated lifecycle processes for lead scoring, enrichment, qualification, and cross-functional handoffs using LeanData, Zapier, Clay, Segment, and AI agents.
• Enhance sales productivity by implementing agentic workflows (e.g., automated follow-ups, enrichment workflows, SDR assistance tools) in Outreach and Salesforce.
• Manage data governance across Salesforce, Marketo, and Segment, ensuring reliable attribution, reporting, and pipeline visibility.
• Create AI-informed dashboards and reporting on pipeline performance, lead velocity, conversion, campaign effectiveness, and partner impact.
• Partner with RevOps, Sales Systems, and Engineering to operationalize cross-functional processes that reduce manual work and improve efficiency.
• Support partner/VAR motions through automated attribution, routing rules, partner engagement workflows, and integrated co-marketing processes.
• Continuously evaluate new tools, AI capabilities, and operational improvements that elevate our GTM infrastructure.

Requirements:

• 4+ years in Marketing Operations or Revenue Operations supporting B2B sales-led funnels.
• Hands-on experience administering Marketo, Salesforce, and LeanData.
• Deep expertise with lead routing, lead-to-account matching, and data orchestration workflows using LeanData or similar workflow automation tools.
• Proven ability to design automated workflows, operational processes, and scalable cross-system integrations.
• Experience using AI-driven tools or agentic workflows to automate SDR tasks, enrich lead data, or accelerate GTM execution.
• Strong analytical, system design, and documentation skills; able to translate business needs into scalable technical workflows.
• Experience collaborating with Sales, SDR, RevOps, and System/Engineering teams.

Bonus Points:

• Experience in FinTech or enterprise B2B SaaS environments.
• Familiarity with conversational marketing/ABM platforms like Qualified.
• Experience with tools like LeanData and Outreach in support of lead routing and SDR/BDR workflows.
• Experience with paid funnel operations is a plus (Google Ads, LinkedIn Ads, etc.).
• Understanding of partner/VAR operational workflows and partner attribution logic.
• Ability to design scalable integrations using tools like Segment, Zapier, or Workato-style platforms.

Compensation:

The expected salary range for this role is $134,696 - $168,370.

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As a CX Tooling Specialist, you'll sit at the intersection of CX Operations, IT, Security, and Engineering, administering key platforms, driving intake and incident workflows, and maintaining audit/compliance rigor that keeps our tools secure and our teams productive.

Key responsibilities include:

Intake & triage: owning intake and triage for Site Ops requests via our Jira Customer Portal, including general requests, tooling access, and after-hours urgent support; Implement agentic workflows: implementing end-to-end agentic workflows that autonomously intake, triage, and resolve routine Site Ops and CX issues; Tooling administration: administering and supporting CX tooling and adjacent applications, such as Zendesk/SunCo, AWS Connect, Sprout Social, Assembled, and Google Analytics; User lifecycle & Okta hygiene: executing BPO and internal lifecycle operations, maintaining source-of-truth rosters and access records, and ensuring changes are auditable; Audits & remediation: running recurring user/access audits across Site Ops-administered tools, documenting findings, and closing the loop with stakeholders and Security; Vendor escalations & incident support: coordinating vendor escalations end-to-end, capturing context, performing initial troubleshooting, opening/tracking external tickets, and implementing fixes or workarounds with partners; Cross-functional change coordination: partnering with Engineering, IT, and Security on configuration changes, release gating, and change validation; Documentation & enablement: creating and maintaining high-quality runbooks, SOPs, tooling pages, and training content for internal teams and BPO partners; Operational health & telemetry: monitoring operational health signals across owned tools, proactively addressing reliability, access, and performance issues affecting agents or customers, and escalating via defined incident paths.

We're looking for someone with hands-on experience administering CX platforms, supporting production-grade support environments, and proficiency with operational intake and tracking in Jira. Experience with AWS Connect or similar cloud contact center platforms, building/implementing agentic workflows, and familiarity with learning and workforce platforms used in support orgs are preferred.

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Our Developer Tooling team focuses on the day-to-day developer experience, owning the systems and workflows that directly impact developer velocity, confidence, and code quality. We aim to reduce friction in the development lifecycle so engineers can spend less time dealing with flaky tests, broken environments, and opaque pipelines, and more time shipping high-quality product experiences for patients and providers.

As a people-first engineering leader, you will care deeply about developer experience and be technically credible and comfortable going deep on CI/CD, test systems, and developer tooling. You will also be AI-forward with hands-on experience using modern AI-assisted development tools and a clear communicator who can align stakeholders and advocate effectively for platform investments.

In this role, you will:

• Lead a team responsible for the core developer experience at Headway
• Own strategy and execution for tooling and systems that every engineer relies on to build, test, and ship software
• Advance AI-powered developer productivity and define how AI is used across engineering
• Operate within Engineering Foundations and partner closely with product engineering leaders and other platform teams
• Run tight feedback loops with the engineering organization and translate developer pain into durable improvements

If you want to shape how engineers across the company build software every day, lead the adoption of AI as a first-class part of the development workflow, eliminate flaky tests, unreliable CI, and broken local environments, and build tooling that compounds in value as the organization scales, then this role is for you.

Compensation and Benefits:

The expected base pay range for this position is $198,000-$237,500, based on a variety of factors including qualifications, experience, and geographic location. In addition to base salary, this role may be eligible for an equity grant, depending on the position and level. We are committed to offering a comprehensive and competitive total rewards package, including robust health and wellness benefits, retirement savings, and meaningful ownership opportunities through equity.

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Brex is the intelligent finance platform that enables companies to spend smarter and move faster in more than 200 markets. By combining global corporate cards and banking with intuitive spend management, bill pay, and travel software, Brex enables founders and finance teams to accelerate operations, gain real-time visibility, and control spend effortlessly.

Tens of thousands of the world's best companies run on Brex, including DoorDash, Coinbase, Robinhood, Zoom, Plaid, Reddit, and SeatGeek. Working at Brex allows you to push your limits, challenge the status quo, and collaborate with some of the brightest minds in the industry.

We’re committed to building a diverse team and inclusive culture and believe your potential should only be limited by how big you can dream. We make this a reality by empowering you with the tools, resources, and support you need to grow your career.

Marketing at Brex

Marketing tells the story of Brex to the world. From acquisition to activation, we translate product value into business results. Our team spans Revenue, Product, and Brand Marketing, and works closely with nearly every function at Brex. We move fast, experiment often, and think deeply about customer behavior. If you want your creativity to drive growth and shape perception, this is the place.

What you’ll do

The Brex Marketing team is looking for an experienced Senior Marketing Operations Manager to own the systems, data infrastructure, and digital growth engine powering our Product-Led Growth (PLG) motion. This role is central to how Brex scales digital acquisition, optimizes self-serve onboarding flows, and unlocks marketing performance through automation, experimentation, and insights.

The ideal candidate is passionate about building a best-in-class marketing tech stack,including structuring event schemas, improving attribution, unlocking insights, and driving efficiency. This person is also excited about how AI and agentic workflows can transform our operational processes, improve personalization, accelerate experimentation velocity, and automate routine tasks.

You will help define and execute our future-state marketing operations architecture, modernizing systems, processes, and data across paid, web, product, and lifecycle channels.

Where you’ll work

This role will be based in our Seattle office. We are a hybrid environment that combines the energy and connections of being in the office with the benefits and flexibility of working from home. We currently require a minimum of two coordinated days in the office per week, Wednesday and Thursday. Starting February 2, 2026, we will require three days per week in office - Monday, Wednesday and Thursday. As a perk, we also have up to four weeks per year of fully remote work!

Responsibilities

• Own and evolve the PLG martech ecosystem,including Twilio Segment, Google Analytics, Marketo, Sanity CMS, Salesforce, and paid-channel integrations,to ensure a best-in-class, scalable, and reliable infrastructure.

• Define and execute a future-state roadmap for PLG operations, leveraging AI-driven automation, agentic workflows, and scalable systems foundations.

• Build and optimize automated lifecycle and activation programs using AI-assisted segmentation, predictive scoring, and personalized content delivery.

• Partner with Web, Product, and Engineering teams to modernize event tracking frameworks, ensuring clean, structured, privacy-aligned data flows through Segment, GA, and in-product analytics.

• Support and scale experimentation by integrating event tracking, metadata, and insights with AI-enabled analysis and rapid test iteration.

• Collaborate with Paid Growth to ensure high-quality tagging, attribution, and channel measurement across Google Ads, LinkedIn Ads, Meta Ads, and Reddit Ads.

• Partner cross-functionally with CX, Operations, Sales, and Web teams to support chatbot and live chat experiences on Brex.com , including qualification logic, routing workflows, data capture, and integration with downstream teams.

Serve as the Marketing Operations lead ensuring technical implementation, measurement, workflow orchestration, and operational governance, even in a co-owned model.

• Build dashboards and insights leveraging AI-enhanced analytics to monitor PLG health, funnel friction, conversion behavior, and growth loops.

• Identify opportunities to automate manual processes using Zapier, Segment, Marketo programs, and AI agents to improve speed, accuracy, and scale.

• Troubleshoot and resolve issues across systems (Segment, GA, Marketo, Salesforce), maintaining a high-quality data environment and rapid operational velocity.

Requirements

• 4+ years in Marketing Operations, Growth Operations, or Digital Systems roles supporting PLG or digital-first acquisition funnels.

• Hands-on experience with Segment, Google Analytics, Marketo, and event-based tracking frameworks.

• Strong analytical capabilities related to experimentation, attribution, and funnel performance measurement.

• Experience supporting paid acquisition workflows across Google, LinkedIn, Meta, and other digital channels.

• Experience partnering with cross-functional teams (CX, Operations, Sales, Web) to manage or enhance chatbot and/or live chat experiences,including qualification, routing, data models, and workflows,even when operational ownership is distributed across teams.

• Demonstrated experience driving operational efficiency and automation through workflow orchestration tools (Zapier, agentic AI systems, CDP-triggered workflows).

• Track record of evolving or modernizing a marketing tech stack toward a future-state architecture.

• Experience collaborating closely with Product, Web Engineering, and Data teams.

Bonus Points

• Experience at FinTech or SaaS companies with PLG or self-serve onboarding models.

• Experience using AI and automation to scale marketing workflows, such as generative personalization, predictive scoring, and automated experiment QA.

• Comfort building integrated workflows between CMS (Sanity) and acquisition tracking systems.

• Familiarity with customer journey analytics tools such as Amplitude, Mixpanel, or similar.

• Demonstrated ability to document architecture, propose long-term solutions, and operationalize complex systems with cross-functional partners.

• Understanding of digital identity verification steps and risk-aware conversion optimization.

• Familiarity with Lead-to-Product connective processes (where website signups eventually feed the GTM funnel).

• Knowledge of ABM or enterprise programs is a plus for hybrid funnel interactions.

Compensation

The expected salary range for this role is $134,696 - $168,370. However, the starting base pay will depend on a number of factors including the candidate’s location, skills, experience, market demands, and internal pay parity. Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package.

Please be aware, job-seekers may be at risk of targeting by malicious actors looking for personal data. Brex recruiters will only reach out via LinkedIn or email with a brex.com domain. Any outreach claiming to be from Brex via other sources should be ignored.

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This position will be hybrid, based in our Bengaluru office (HSR Layout), as part of our expanding site. EarnIn offers our employees excellent benefits, including healthcare, internet/cell phone reimbursement, a learning and development stipend, and opportunities to travel to our Mountain View HQ.

Responsibilities

• AI-Agent Development: Design, build, and iterate on AI agents that automate platform operations, from service and infra bootstrap, intelligent incident diagnosis, automated runbook execution, to self-healing infrastructure and PR-review bots. Own the agent lifecycle: prompt engineering, tool/function-call orchestration, evaluation, and production monitoring.

• Workflow Automation with AI: Identify and eliminate repetitive human-in-the-loop workflows across CI/CD, environment management, access provisioning, and change management.

• Kubernetes Infrastructure: Support our Kubernetes platform on AWS EKS, with a focus on environment hygiene and security; execute cluster-level tasks and updates with minimal support, and leverage AI for anomaly detection, capacity recommendations, and automated remediation.

• Developer Experience: Utilize our developer control plane (Cortex) to maintain paved paths and self-service actions, helping teams move from idea to production with minimal friction.

• Observability & Excellence: Strengthen operational excellence by monitoring SLOs/error budgets and utilizing Datadog for metrics, traces, and logs to improve system reliability.

• Platform Development: Develop platform services using industry best practices that enable operational excellence for Data, CI/CD, and Security.

• Service Standardization: Maintain service scaffolds and templates that encode testing and telemetry standards, ensure alignment with platform baselines, and use AI to auto-generate and validate configurations against them.

Requirements

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.

• 3+ years in platform, infrastructure, or backend engineering with deep knowledge of Kubernetes (EKS) and cloud-native architectures on AWS.

• Demonstrated experience building AI agents or agentic workflows, not just using Copilot or ChatGPT, but designing multi-step AI systems that autonomously perform operational tasks (e.g., LLM-powered runbook agents, intelligent CI/CD bots, self-service assistants with tool-use/function-calling).

• Track record of automating away repetitive workflows with AI. You should be able to point to specific examples where you replaced manual processes with AI-driven automation that let a team do more with fewer resources.

• Experience in GitOps (ArgoCD) and CI (GitHub Actions) for multi-service systems.

• Strong coding skills in Go and/or Python, treating infrastructure as software.

• Excellent communication skills; able to clearly convey technical issues and advocate for both the team's and the customer's needs.

• Experience with LLM orchestration frameworks (e.g., LangChain, LlamaIndex, CrewAI, or custom agent architectures) and prompt engineering for production systems.

• Mission-Driven: A strong advocate for the customer who takes initiative to fix issues and constantly asks, 'can an AI agent do this instead of a human?'

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This is a deeply technical, customer-facing role where you'll build and deploy Custom Agents, Custom Flows, and CI/CD integrations. You'll own delivery end-to-end, from prototype through production support. You'll partner closely with Professional Services and Customer Success stakeholders, including Professional Services Engineers, Project Managers, Customer Success Managers, and Solution Architects.

Some examples of our projects include leading customer discovery and defining a prioritized GitLab Duo Agent Platform use case roadmap tied to clear success criteria, designing and delivering production-ready GitLab Duo Agent Platform implementations, building rapid prototypes to demonstrate the art of the possible with agentic AI, and integrating the GitLab Duo Agent Platform with customer systems and workflows using GitLab APIs, pipeline configuration, and infrastructure as code.

What you'll do:

Conduct deep customer discovery to understand business goals, technical constraints, and organizational dynamics, and translate them into clear problem statements and a prioritized use case plan for GitLab Duo Agent Platform.

Partner with customer stakeholders across engineering, security, compliance, and business teams to align on success criteria, milestones, and adoption strategy for AI workflows in production.

Design, build, and deploy production-ready GitLab Duo Agent Platform solutions, including Custom Agents, Custom Flows, and CI/CD integrations that map to validated customer use cases.

Embed with customer engineering teams to deliver hands-on implementations end-to-end, from prototype to production rollout, troubleshooting, and optimization.

Configure and integrate platform foundations such as runners, network access, runtime sandboxing, GitLab APIs (REST and GraphQL), and AI governance controls (for example, role-based access control and model policies) to meet enterprise requirements.

Measure and communicate impact using DORA (DevOps Research and Assessment) metrics, AI Impact Analytics, and Value Stream Analytics, and use those insights to guide iteration and expansion of successful use cases.

Codify repeatable deployment patterns, reusable assets, and lessons learned, contributing back to GitLab through documentation, accelerators, and product feedback informed by field experience.

Travel up to 50% for customer site engagements and company onsite events to support delivery, onboarding, and stakeholder alignment.

What you'll bring:

Demonstrated experience leading customer-facing technical engagements, from discovery through production rollout, with ownership of outcomes.

Proficiency in Python, with experience building and operating production-grade applications and integrations.

Experience delivering with GitLab CI/CD, including pipeline design, YAML configuration, and using GitLab APIs (REST and GraphQL).

Hands-on experience with infrastructure as code (for example, Terraform or Ansible) and deploying solutions into enterprise environments.

Working knowledge of large language model (LLM) capabilities and limitations, including prompt engineering and building agentic workflows (such as Custom Agents and Custom Flows).

Experience with Docker, container orchestration concepts, and runner configuration in secure environments.

Familiarity with DevSecOps practices, including security controls, access management, and compliance requirements that impact deployment design.

Strong written and verbal communication skills, with the ability to partner closely with customer stakeholders and translate business goals into technical plans in a remote, asynchronous environment.

About the team:

GitLab's Professional Services organization within Customer Success helps customers get value from the GitLab Duo Agent Platform. We're a remote, asynchronous team that works closely with customer-facing colleagues to support successful deployments. We focus on turning what we learn in the field into reusable assets, clearer documentation, and product feedback that helps improve GitLab Duo Agent Platform for future customers.

The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our benefits and equity. Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary. United States Salary Range $164,880-$247,320 USD

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As a Senior Marketing Operations Manager, you will define and maintain the systems, processes, and operational rigor that align Marketing, SDR, Sales, and Partner teams. You will champion operational excellence by improving lead management, automating revenue processes, increasing funnel velocity, and enabling more efficient cross-functional alignment.

Responsibilities:

• Own and evolve the GTM systems architecture, ensuring Salesforce, Marketo, LeanData, ZoomInfo, Qualified, Outreach, and Clay.io work together as a best-in-class, integrated ecosystem.
• Lead the design, governance, and optimization of data orchestration workflows using LeanData, including routing, prioritization, handoffs, and conversion logic across Marketing, SDR, and Sales teams.
• Design and execute a future-state operational roadmap focused on scaling B2B demand generation, ABM, and partner-led growth through automation, improved data flows, and AI-powered insights.
• Build automated lifecycle processes for lead scoring, enrichment, qualification, and cross-functional handoffs using LeanData, Zapier, Clay, Segment, and AI agents.
• Enhance sales productivity by implementing agentic workflows (e.g., automated follow-ups, enrichment workflows, SDR assistance tools) in Outreach and Salesforce.
• Manage data governance across Salesforce, Marketo, and Segment, ensuring reliable attribution, reporting, and pipeline visibility.
• Create AI-informed dashboards and reporting on pipeline performance, lead velocity, conversion, campaign effectiveness, and partner impact.
• Partner with RevOps, Sales Systems, and Engineering to operationalize cross-functional processes that reduce manual work and improve efficiency.
• Support partner/VAR motions through automated attribution, routing rules, partner engagement workflows, and integrated co-marketing processes.

Requirements:

• 4+ years in Marketing Operations or Revenue Operations supporting B2B sales-led funnels.
• Hands-on experience administering Marketo, Salesforce, and LeanData.
• Deep expertise with lead routing, lead-to-account matching, and data orchestration workflows using LeanData or similar workflow automation tools.
• Proven ability to design automated workflows, operational processes, and scalable cross-system integrations.
• Experience using AI-driven tools or agentic workflows to automate SDR tasks, enrich lead data, or accelerate GTM execution.
• Strong analytical, system design, and documentation skills; able to translate business needs into scalable technical workflows.
• Experience collaborating with Sales, SDR, RevOps, and System/Engineering teams.

Bonus Points:

• Experience in FinTech or enterprise B2B SaaS environments.
• Familiarity with conversational marketing/ABM platforms like Qualified.
• Experience with tools like LeanData and Outreach in support of lead routing and SDR/BDR workflows.
• Experience with paid funnel operations is a plus (Google Ads, LinkedIn Ads, etc.).
• Understanding of partner/VAR operational workflows and partner attribution logic.
• Ability to design scalable integrations using tools like Segment, Zapier, or Workato-style platforms.

Compensation: The expected salary range for this role is $134,696 - $168,370. However, the starting base pay will depend on a number of factors including the candidate’s location, skills, experience, market demands, and internal pay parity. Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package.

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You'll own the design process end-to-end: from ambiguous early exploration through to polished, shipped experiences. You'll design intuitive interfaces for AI agents, create seamless chat experiences for developers, and establish design patterns that make advanced AI capabilities feel natural and accessible, iterating continuously as the product and technology evolve together.

Some examples of our projects:

• Duo Workflow (AI agents across the SDLC)
• Duo Chat (AI-powered DevSecOps assistant)
• AI-powered code suggestions and review tools

You'll be responsible for:

• Owning the design process – Drive end-to-end design across GitLab's AI suite, from early exploration to polished execution.
• Shipping and iterating – Break complex AI experiences into releases that fit GitLab's cadence without sacrificing quality.
• Setting the craft bar – Set quality standards through strong visual and interaction design, and provide constructive feedback that raises the level of work around you.
• Defining strategic direction – Bring validated user evidence and a strong point of view to roadmap discussions before direction is set.
• Enabling the broader team – Help designers across the product understand and apply AI capabilities effectively in their own areas.
• Mentoring and growing – Guide other designers in developing their skills, participate in hiring by interviewing candidates and evaluating portfolios, and share knowledge that raises the design quality of AI experiences across GitLab.

You'll bring:

• A strong portfolio showing how you think and iterate, not just what shipped, ideally including AI/ML products, agentic workflows, or natural language interfaces where user control, transparency, and trust were key considerations.
• Experience designing for AI workflows. You understand the unique challenges of multi-step, agentic, or automated processes and how to design for them effectively.
• A high bar for craft. You care deeply about the details of interaction and visual design, and help others raise their standards too.
• Experience conducting research and translating findings into clear, well-reasoned design decisions.
• Proven ability to work iteratively in agile product development, balancing speed with quality and making smart tradeoffs without losing sight of the longer-term vision.
• Experience designing in complex enterprise contexts, with working knowledge of Git, HTML/CSS, accessibility best practices, and design systems.
• Excellent communication skills. You can simplify complexity, articulate design rationale clearly, and bring people along through your process.

The AI Product Design team is part of GitLab's broader UX organization, focused exclusively on creating exceptional experiences for AI-powered features across our DevSecOps platform. Our designers partner closely with AI Product Management and Engineering, as well as collaborators from across the entire product, from code creation to security scanning.

The base salary range for this role’s listed level is currently $140,000-$200,000 USD for residents of the United States only.

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Key responsibilities include:

• Creating high-quality technical videos focused on search, AI/ML, and Elasticsearch as a platform
• Exploring and explaining how Elasticsearch integrates with other tools and protocols in the ecosystems
• Prototyping and publishing sample applications showing end-to-end Search + AI use cases
• Bringing a creative twist to Elastic's content creation to keep existing users engaged and capture new audiences

Requirements include:

• A proven track record of creating highly technical and engaging videos
• Strong technical background and experience in an engineering role
• Empathy for the community to help them solve their issues, provide internal feedback to make Elastic’s products better, and fix problems where possible
• Comfortable working with a highly distributed team
• Experience working self-driven and self-organizing
• Excellent spoken and written communication skills in English

Additional benefits include competitive pay, health coverage for you and your family, ability to craft your calendar with flexible locations and schedules, generous number of vacation days each year, increase your impact through financial donations and service, and embracing parenthood with minimum of 16 weeks of parental leave.

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As a Staff Full Stack Engineer at Okta, you will participate in cross-team initiatives from end to end, including code reviews, design reviews, operational robustness discussions, and release planning.

You will translate UI/UX designs and wireframes into high-quality, efficient, and reusable HTML, CSS, and JavaScript code.

You will optimise front-end performance by considering page load speed, caching strategies, and asset management.

You will contribute to documentation, including front-end component documentation and style guides.

You will maintain a high awareness of industry issues and trends, particularly in regard to accessibility, usability, front-end frameworks, and emerging web technologies.

You will leverage AI tools and agentic workflows to accelerate development, automate testing, and prototype new features.

You will partner closely with the design team, acting as a technical consultant who provides early-stage feedback on feasibility, interaction patterns, and ways to enhance the end-user experience.

You will develop polished CSS animations that elevate the interface, ensuring that motion is both visually engaging and optimised for performance across all devices.

Advanced Full-Stack Technical Breadth: 5+ years of experience with:

Front-end: Expert React (Hooks, Context, State management), modern CSS/styling (styled-components, CSS modules), and accessibility best practices.

Back-end/Integration: Node.js, API design, and experience bridging frontend components with CMS environments like AEM.

Infrastructure: Experience with Vercel, AWS, and Cloudflare.

Ownership Mentality: You are comfortable being dropped into an unfamiliar area, exploring the constraints, and proposing a path forward without needing constant guidance.

Intellectual Curiosity: You stay ahead of industry trends and evaluate new technologies (including AI tools) based on their ability to solve real-world problems.

Strong Communication: You have a user-centric attitude and excellent interpersonal skills. You excel at distilling complex technical data into clear and actionable insights.

The annual base salary range for this position for candidates located in California (excluding San Francisco Bay Area), Colorado, Illinois, New York, and Washington is between $140,000-$192,500 USD.

The annual base salary range for this position for candidates located in Canada is between $124,000-$170,500 CAD.

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Key responsibilities include:

• Building Core Agents & Plays: Design, build, and iterate on the agents and Plays that ship inside our products.
• Owning the Plays Library: Curate and expand our library of pre-built GTM workflows.
• Defining the Marketplace Experience: Own the customer-facing marketplace where users discover, evaluate, and deploy agentic workflows.
• Translating GTM Expertise into Agentic Design: Bring GTM operational expertise to agent design.

To be successful in this role, you will need to have direct experience building agentic workflows, hands-on familiarity with AI-assisted development, and a deep understanding of GTM operations.

If you're a builder first, GTM operations native, and have a strong understanding of agentic workflow intuition, we'd love to hear from you!

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This role sits at the intersection of product, market insight, and revenue strategy, with a strong focus on positioning, messaging, launches, and monetization for AI offerings. You'll work with significant autonomy while partnering closely with Product Management, Engineering, Sales, Customer Success, and Marketing.

In your first year, you'll help refine our AI value proposition, strengthen how we speak to platform engineering and technology leaders, and turn market insight into repeatable go-to-market motions that support adoption and growth. You’ll also establish yourself as an emerging external voice on how AI agents are reshaping software teams , informed by your own hands-on use of agents workflows.

Some examples of our projects:

• Developing and launching go-to-market strategies for GitLab Duo Agent Platform and AI offerings.
• Using AI agents to accelerate competitive analysis, synthesize customer feedback patterns, and generate first-draft positioning hypotheses , then sharing those methods as part of GitLab's thought leadership.
• Creating persona-based messaging for organizations moving from individual AI coding tools to team and agent collaboration across the software lifecycle.
• Building thought leadership around intelligent orchestration, unified workflows, and how teams stay in flow with AI agents.
• Supporting launches for new AI capabilities, agentic workflows, and related monetization approaches.

What you'll do

• Collaborate on an end-to-end GTM strategy and execution for GitLab Duo Agent Platform and AI capabilities, emphasizing how intelligent orchestration enables software teams and their AI agents to stay in flow across the complete software lifecycle,addressing the "AI Paradox" where faster coding doesn't translate to faster delivery when the rest of the lifecycle remains fragmented.
• Lead positioning and narrative for GitLab's AI capabilities, articulating how we bring software teams and their AI agents together, eliminate gaps between traditionally-manual software lifecycle stages, and unify DevOps, Security, and AI workflows into a single orchestrated system where teams orchestrate from above while agents execute within.
• Develop and execute go-to-market strategies for usage-based AI monetization and consumption-based offerings that demonstrate clear customer value.
• Partner with Product Management, Sales, Customer Success, and Engineering to understand how customers are navigating AI modernization journeys, validate market problems around toolchain fragmentation and tool-specific AI agents, and translate them into clear messaging, revenue plays, pricing strategies, and launch priorities.
• Build and continuously refine compelling positioning and messaging for AI capabilities, including persona-specific content for platform engineering leaders, DevOps directors, technology executives, and developer teams.
• Define and execute comprehensive go-to-market plans for new AI capabilities, agents, workflows, and usage-based offerings, ensuring launches are timely, impactful, and tightly aligned with sales, field marketing, partner ecosystem, and digital marketing motions while delivering measurable pipeline and revenue impact.
• Serve as the subject matter expert for AI and intelligent orchestration within Product Marketing, synthesizing analyst feedback, market trends, competitive insights, and customer proof points into differentiated narratives that position GitLab's architectural advantages over AI coding tools and fragmented toolchain approaches.
• Create and maintain high-impact sales enablement materials such as pitches, playbooks, FAQs, objection-handling guides, use case libraries, and pricing and packaging comparison guides that help scale AI-focused sales motions and accelerate deal velocity.
• Build distinctive external thought leadership grounded in your own practice of using AI agents , sharing original insights from hands-on experimentation.
• Partner with Product Marketing Managers on AI positioning, usage-based monetization, and go-to-market strategies within your area of expertise.
• Lead complex, cross-functional initiatives involving sales, product, growth, and marketing teams to drive AI adoption and revenue.

What you'll bring

• Strong product marketing experience owning complex, technical B2B SaaS products from discovery through launch, with proven success in usage-based monetization, consumption pricing models, and go-to-market strategies that drive measurable revenue impact in AI or developer tools markets.
• Deep understanding of AI/ML technologies, agentic workflows, LLM orchestration, and the software development lifecycle, with practical exposure to capabilities such as AI coding assistants, agentic automation, multi-agent systems, Model Context Protocol (MCP), and intelligent orchestration concepts.
• Demonstrated AI-first working style: you already use AI agents as core to how you develop positioning, conduct research, analyze competitors, and create content.
• Experience across multiple domains within DevSecOps, enabling you to position AI capabilities across the complete software lifecycle from planning through deployment and operations.
• Proven experience positioning platform solutions with ability to articulate architectural advantages of unified platforms with complete

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As you master our integration landscape, you'll have opportunities to expand into Claude-powered AI automation and data pipeline development.

You'll build the integration backbone for one of the fastest-growing AI companies, with a front-row seat to how Claude transforms financial operations. This is a foundational role where you'll shape our integration architecture from the ground up, then expand into cutting-edge AI automation as our needs evolve.

Responsibilities

Core Focus: Integration Development & ERP Support

• Design, build, and maintain integrations connecting ERP systems with downstream applications including ZipHQ, Brex, Navan, Clearwater, Payroll systems, Salesforce, and other critical financial platforms using Workato, MuleSoft, or similar iPaaS solutions

• Support integration development and testing during the ERP implementation projects

• Develop and maintain REST APIs, webhooks, and OAuth 2.0 authentication flows for secure system-to-system communication

• Implement real-time and batch integration patterns supporting high-volume financial transactions

• Establish monitoring, alerting, and error-handling frameworks to ensure integration reliability and data integrity

• Document integration architectures, data flows, API specifications, and troubleshooting procedures

• Collaborate with implementation consulting partners and vendors on technical integration requirements

Additional Scope: AI Automation & Data Infrastructure

• Build and deploy Claude-powered AI agents that automate financial operations including intelligent document processing, workflow automation, financial audit and reconciliations, and self-service reporting

• Design agentic workflows that leverage Claude API capabilities integrated with ERP platform data and processes

• Create automated validation and quality assurance processes for AI-generated outputs

• Partner with Finance teams to identify automation opportunities and translate requirements into AI agent solutions

• Support data pipeline development using Airflow for workflow orchestration and dbt for data transformation

• Build and maintain data flows from ERP and other financial systems into BigQuery for analytics and reporting

• Implement data quality checks and testing frameworks for financial data pipelines

• Collaborate with Data Infrastructure team on pipeline architecture, performance optimization, and security monitoring

• Support executive dashboards and financial analytics by ensuring timely, accurate data delivery

Governance & Collaboration

• Maintain comprehensive documentation for integrations, AI agents, and data pipelines

• Support internal and external audits with technical evidence and system access reviews

• Collaborate with Finance Systems Engineers on operational support, troubleshooting, and enhancement requests

• Partner with Finance Operations, Accounting, FP&A, Engineering, and Data Infrastructure teams to deliver holistic solutions

Requirements

• 8+ years of experience in integration development, data engineering, or systems engineering roles

• Hands-on experience with iPaaS platforms such as Workato, MuleSoft, Dell Boomi, or similar integration tools

• Strong programming skills in Python and/or JavaScript/TypeScript for building custom integrations, APIs, and automation scripts

• Experience with data pipeline tools including Airflow for orchestration and dbt for transformation

• Working knowledge of cloud data platforms such as BigQuery, Snowflake, or Databricks

• Understanding of REST API design patterns, webhooks, OAuth 2.0, and modern integration architectures

• Familiarity with ERP systems (Oracle Fusion, Workday Financials, or similar) and financial business processes

• Strong problem-solving skills with ability to debug complex integration issues across multiple systems

• Excellent communication skills to collaborate with technical and business stakeholders

Preferred Qualifications

• Experience with high-growth technology companies scaling through rapid revenue expansion (5x-10x growth)

• Background in AI/ML companies with familiarity in modern SaaS business models including consumption-based pricing, usage metering platforms, and marketplace billing

• Hands-on experience with specific platforms: Workday Financials (Workday Studio, EIB, custom reports, Prism Analytics)

• Technical expertise with modern finance tech stack including Stripe, Salesforce, Zuora RevPro, Zip Procurement, Clearwater treasury systems, Pigment planning tools, Numeric close management

• Programming skills in Python / JavaScript, or similar languages for building custom integrations, APIs, and automation scripts

• Experience with AI/LLM integration for financial operations, including document processing, data extraction, intelligent automation, and agentic workflows (familiarity with Claude models and API is a plus)

• Hands-on experience with modern data stack tools: BigQuery/Snowflake/Databricks, dbt for data transformation, Airflow for workflow orchestration

• Professional certifications such as Workato, Workday integrations, or relevant technical credentials

• Bachelor's or Master's degree in Computer Science, Information Systems, Accounting, Finance, Engineering, or related technical/business field

• Experience with business intelligence and financial reporting tools (Hex, Looker, Tableau, Power BI) for executive dashboards and financial analytics

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Key responsibilities include owning the Salesforce partner data model end to end, administering the partner platform stack, defining and owning the partner data quality standard, partnering with the Business Process Manager to instrument every partner process, running access and configuration governance for partner systems, and building and operating the AI automation layer.

The ideal candidate will have five or more years in revenue systems, partner systems, or business systems roles with hands-on Salesforce administration or architecture experience, and will be able to translate a program rule into a schema, a validation rule, and an entitlement flow without a detailed specification.

Strong candidates may also have Salesforce Administrator or Platform App Builder certification, or experience with Experience Cloud or a PRM such as Impartner or Salesforce PRM.

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We are seeking a skilled Firmware Design Engineer to join our team. As a Firmware Design Engineer, you will be responsible for designing, implementing, and validating firmware for embedded microprocessors in advanced SerDes and PHY IP.

Key Responsibilities:

• Architect, implement, and validate firmware for embedded microprocessors in advanced SerDes and PHY IP.
• Lead silicon bring-up and debug cycles, supporting lab triage, instrumented root-cause analysis, and cross-functional closure with design, DV, validation, and applications teams.
• Apply mixed-signal debugging expertise to isolate HW/FW boundary issues, leveraging knowledge of analog behavior, clocks/resets, power states, and link training.
• Develop high-quality embedded code in C/C++, ensuring robust design reviews, code reviews, unit testing, and disciplined defect prevention practices.
• Scale automation through CI/CD pipelines using Jenkins and test frameworks to improve coverage, reliability, and release confidence.
• Define validation strategies, create automated test cases, and drive coverage analysis across multiple firmware projects.
• Build and maintain AI-assisted firmware workflows using tools such as Cursor, focusing on prompt/trace hygiene, guardrails, and verification practices.
• Operationalize agentic AI patterns for firmware development, including planning, code generation, refactoring, test creation, log triage, and regression analysis with explicit human review points.
• Author and curate reusable rules, skills, and commands to standardize AI usage (coding standards, spec templates, “definition of done,” test expectations, and safety checks).
• Lead process maturity initiatives, driving adoption of coding standards, branching/release hygiene, documentation quality, and review discipline, making adherence measurable.
• Operationalize status and quality tracking via JIRA dashboards and Confluence, providing clear, repeatable reporting on best-practice and AI-workflow adoption.
• Mentor and provide technical leadership, elevating team capability through coaching, review guidance, and hands-on problem solving in critical debug cycles.

Requirements:

• Embedded firmware experience: 5+ years building and debugging embedded firmware for silicon products (bring-up, lab debug, sustained maintenance).
• Programming: Expert in C/C++; strong scripting proficiency in Python (plus Bash and/or Tcl).
• Debug: Demonstrated strength in silicon bring-up, lab instrumentation, and HW/FW boundary root-cause analysis.
• Mixed-signal systems: Practical experience debugging systems involving analog and digital behavior (SerDes/PHY, clocking, resets, power, signal integrity impacts).
• Validation and automation: Proven ability to build automation, test frameworks, and coverage strategy; experience with Jenkins CI/CD.
• AI tooling: Hands-on experience using Cursor (or equivalent) in production engineering workflows, including building reusable prompts/workflows and enforcing verification/quality gates.
• Agentic workflows: Experience defining agentic workflows with clear boundaries, review points, and safety rails (including when not to use AI).
• Process leadership: Track record of scaling best practices across a team (reviews, test discipline, release hygiene, documentation standards).
• Collaboration: Strong cross-functional communication across firmware, hardware/design, DV/validation, and multi-site teams.
• Education: BSEE/MSEE (or equivalent practical experience).

We offer a competitive salary and benefits package, as well as opportunities for professional growth and development.

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In this role, you will be responsible for coordinating responses to state regulatory inquiries, filings, forms, applications, renewals, surety bonds, and other license maintenance items. You will also assist in managing regulatory exams and inquiries, staying up-to-date with regulatory changes, particularly with respect to digital assets, and establishing and maintaining relationships with internal and external partners and business units.

The ideal candidate will be a self-starter who is exceptionally organized, thorough, and detail-oriented, with a background in financial services, payments, digital assets, or other regulated sectors. You will need to be comfortable working in a fast-paced and rigorous environment, with a strong ability to communicate effectively with senior executives, regulators, and other stakeholders.

Responsibilities:

• Coordinate responses to state regulatory inquiries, filings, forms, applications, renewals, surety bonds, and other license maintenance items
• Assist in managing regulatory exams and inquiries, responding to regularly exam matters and monitoring the implementation and closure of any remediation items
• Stay abreast of regulatory changes, particularly with respect to digital assets, and how they impact regulatory affairs' licensing and exam management program activities and responsibilities
• Establish and maintain relationships with internal and external partners and business units, relevant state and local agencies, licensing consultants, and outside counsel
• Work proactively with Legal, Finance, Financial Crimes, Affiliate Officers, Product, and other key stakeholders on managing the regulatory affairs's licensing and examination program
• Support any end-to-end licensing, examination, and related ad hoc inquiries as required in partnership with key stakeholders
• Engage in special projects in support of the regulatory affairs program in North America

Requirements:

• Bachelor's degree in Finance, Political Science, Economics, or a related field
• 10+ years experience in financial services, with significant experience in payments, familiarity with money transmitter statutes, NMLS, the BSA, and other areas of financial services, such as digital assets, lending, loan brokering, and collections
• A history of professional achievement, including excellent academic credentials and success at a payments startup, financial institution, public sector organization, law enforcement agency, or top in-house legal department
• Demonstrated familiarity with leveraging Generative AI and agentic workflows to automate preparing responses to routine questions and requests
• The ability to effectively and credibly communicate with senior executives, regulators, and other stakeholders
• Great interpersonal and critical thinking skills, good judgment, and the ability to work effectively with a wide variety of people inside and outside the company
• Robust communication skills

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Key responsibilities for this role include:

• Driving research on post-training techniques (e.g., RL, SFT, and preference optimisation) specifically tailored for personalisation scenarios.
• Developing novel evaluation frameworks and simulation methods to measure model quality against user behaviours / feedback.
• Designing and training agents capable of orchestrating tools and APIs to deliver hyper-personalised experiences.

We are seeking a Research Scientist who can drive new research ideas from conception and experimentation through to productionisation. In this rapidly shifting landscape, we regularly invent novel solutions to open-ended problems. You should be flexible, adaptable, and comfortable pivoting when ideas don't work out.

To succeed in this role, you will need:

• A PhD in Machine Learning, Computer Science, or a relevant field (or equivalent practical research experience).
• A proven track record of research excellence (e.g., publications at top-tier venues like NeurIPS, ICML, ICLR, or significant industry contributions).
• Strong software engineering skills to complement your research background.

In addition, hands-on experience with modern post-training methods (SFT, RLHF, etc.) and prior work applying LLMs to personalisation, memory, or agentic workflows would be an advantage.

At Google DeepMind, we want employees and their families to live happier and healthier lives, both in and out of work, and our benefits reflect that. Some select benefits we offer include enhanced maternity, paternity, adoption, and shared parental leave, private medical and dental insurance for yourself and any dependents, and flexible working options.

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We're a team of scientists, engineers, machine learning experts, and more, working together to advance the state of the art in artificial intelligence.

About Us The Agentic Red Team is a specialized, high-velocity unit within Google DeepMind Security. Our mission is to close the 'Agentic Launch Gap',the critical window where novel AI capabilities outpace traditional security reviews.

The Role As a Senior Security Engineer on the Agentic Red Team, you will be the primary technical executor of our adversarial engagements. You will work 'in the room' with product builders, identifying architectural flaws during the design phase long before formal reviews begin.

Key Responsibilities:

• Execute Agile Red Teaming: Conduct rapid, high-impact security assessments on agentic services, focusing on vulnerabilities unique to GenAI such as prompt injection, tool-use escalation, and autonomous lateral movement.
• Develop Advanced Exploits: Engineer and execute complex attack sequences that exploit non-deterministic model behaviors, agentic logic errors, and data poisoning vectors.
• Build Automated Defenses: Write code to transform manual vulnerability discoveries into automated regression testing frameworks ('Auto Red Teaming') that prevent regression in future model versions.
• Embed with Product Teams: Partner directly with developers during the design and build phases to provide immediate feedback, effectively shortening the feedback loop between offensive findings and defensive engineering.
• Curate Threat Intelligence: Maintain and expand a library of agent-specific attack patterns and exploit primitives to establish robust release criteria for new models.

About You In order to set you up for success as a Software Engineer at Google DeepMind, we look for the following skills and experience:

• Bachelor's degree in Computer Science, Information Security, or equivalent practical experience.
• Experience in Red Teaming, Offensive Security, or Adversarial Machine Learning.
• Strong coding skills in Python, Go, or C++ with experience building security tools or automation.
• Technical understanding of LLM architectures, agentic workflows (e.g., chain-of-thought reasoning), and common AI vulnerability classes.

Preferred Qualifications

• Hands-on experience developing exploits for GenAI models (e.g., prompt injection, adversarial examples, training data extraction).
• Experience working in a consulting capacity with product teams or in a fast-paced 'startup-like' environment.
• Familiarity with AI safety benchmarks, evaluation frameworks, and fuzzing techniques.
• Ability to translate complex probabilistic risks into actionable engineering fixes for developers.

Salary & Benefits The US base salary range for this full-time position is between $166,000 - $244,000 + bonus + equity + benefits.

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At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life.

We are seeking a Software Engineer to design, build, and lead the core systems that power Mistral's growth. This is a highly impactful role at the intersection of engineering, finance, data, and operations.

As our first hire in Enterprise Agents, you will balance hands-on work with technical direction, partnering with C-level stakeholders, and growing the team over time. You'll turn complex workflows into scalable software: integrations, connectors, and dashboards that make information flow across Mistral.

Responsibilities

• Own the platform from zero: design and implement integrations, connectors, and workflows across internal systems (CRM, billing, HRIS, planning tools).
• Lead the technical direction: define architecture, standards, and best practices for reliability, maintainability, and data consistency.
• Ship features: build end-to-end web apps with a pragmatic approach to delivery and iteration.
• Stakeholder leadership: partner directly with CFO, CTO and team leads to gather requirements, prioritize, and translate business needs into software.
• Org enablement: deliver sleek, self-service tooling and dashboards that reduce manual work and accelerate decision-making across teams.
• Technical Leadership: help shape the hiring plan, mentor future teammates, and evolve into the team's Tech Lead as we grow.

About You

• Full-stack engineer with strong experience in modern programming languages and frameworks (Python, TypeScript, React...), you're comfortable building web apps end-to-end.
• Track record shipping internal systems (APIs, integrations, connectors, dashboards) in enterprise-grade environments (banking/insurance/industry/consulting).
• Hands-on and technically strong, with excellent judgment around trade-offs, maintainability, and operational reliability.
• Leadership mindset: you've led initiatives or mentored engineers (formal or informal) and enjoy setting standards for others.
• Strong communication and stakeholder management; you like turning ambiguous problems into a clear plan and shipped software.
• Low-ego, team-spirited, autonomous; motivated by enabling others and improving how an organization operates.

Now, it would be ideal if you had:

• Experience with LLMs / agentic workflows.
• Exposure to market-leading SaaS business systems (Salesforce, Atlassian, Oracle, etc.).
• Familiarity with infra & operations (Docker, CI/CD, K8s…).
• Comfortable working closely with internal stakeholders, including C-levels.

Hiring Process

• Introduction call - 30 min
• Hiring Manager interview - 30 min
• Technical Rounds - Live Coding Interview (TypeScript or Python) - 45 min - System Design Interview - 45 min - Optional: Project Deep Dive - 60 min
• Culture-fit discussion - 30 min
• References

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Location

San Francisco

Employment Type

Full time

Location Type

Hybrid

Department

Legal

Compensation

• $162K – $180K • Offers Equity

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

• 401(k) retirement plan with employer match

• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

• Daily meals in our offices, and meal delivery credits as eligible

• Relocation support for eligible employees

• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

More details about our benefits are available to candidates during the hiring process.

This role is at-will and OpenAI reserves the right to modify base pay and other compensation components at any time based on individual performance, team or company results, or market conditions.

About the Team

At OpenAI, our Compliance team is dedicated to fostering a culture of integrity and adherence to regulatory and legal requirements. We collaborate closely with Legal, Security, People, Finance, and operational teams to ensure our compliance programs support the organization’s mission while mitigating risk in a rapidly evolving AI landscape.

About the Role

The Compliance Program Manager will play a key role in building and scaling OpenAI’s compliance program—translating requirements into practical processes, driving program execution, and improving how we detect, assess, and mitigate compliance risk. You’ll help run the day-to-day operational backbone of the program (e.g., disclosures, training, investigations tracking, controls, and reporting) and partner cross-functionally to keep the program effective as the company grows. This role represents an exciting opportunity to innovate compliance operations using the latest AI technology. This role reports to the Chief Compliance Officer.

This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.

In this role, you will:

• Build and scale compliance program operations: design and implement repeatable workflows (intake, triage, escalation, documentation, follow-up), and continuously improve them as risks and business needs evolve.

• Own program execution: create project plans, define milestones, drive cross-functional action items, and ensure initiatives land on time (policy rollouts, training launches, controls implementation, tooling improvements).

• Support disclosures and investigations processes: help manage intake and tracking, coordinate with stakeholders, maintain documentation, and ensure timely resolution and remediation follow-through.

• Drive compliance training and communications: help develop, launch, and measure training and awareness programs that are clear, practical, and aligned to risk.

• Monitor and assess compliance risk: partner with internal stakeholders to identify gaps, conduct internal assessments, recommend corrective actions, and track remediation.

• Support audit and regulatory readiness: assist with responses to inquiries, audits, and examinations; maintain evidence, reporting decks, and program artifacts.

• Develop metrics and reporting: build dashboards and recurring reporting for leadership (and the Audit Committee as needed) on risk areas, program health, and key initiatives.

• Stay current on evolving requirements: track relevant regulatory developments and best practices; translate them into actionable program updates.

For all of the above, we expect you to leverage our products, including ChatGPT and agentic workflows to reduce workload, improve results, and upgrade the user experience.

You might thrive in this role if you have:

• 5+ years of experience in compliance, risk, audit, investigations ops, or program management in a regulated and/or fast-scaling environment.

• Demonstrated experience building and running programs (process design, stakeholder management, project plans, metrics, continuous improvement).

• Demonstrated ability using AI to improve compliance processes, or demonstrated skill in technical innovation.

• Strong execution: you can plan the work and work the plan, with good judgment about prioritization in ambiguity.

• Excellent communication skills and the ability to write and speak in plain English (not “compliance speak”).

• Comfort partnering across teams (Legal, Security, People, Finance, Eng/Operations) and navigating competing priorities.

• Strong analytical and problem-solving skills; attention to detail without losing the big picture.

• Ability to independently manage multiple work streams in a fast-paced environment.

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