You will be the voice of the user, deeply understanding their life-stage needs and building a world-class, AI-driven retention strategy. Your work will deliver personalized value, foster loyalty, and turn our users into lifelong champions.

Take Ownership

• Understand behaviour (not just opinions)

• Build a clear view of how users actually use bunq: frequency, depth, moments that matter, and drop-off patterns.

• Detect when someone is thriving (“active”) vs. slipping away (“at risk”) vs. gone (“churned”) , and why.

Make Bunq Feel Relevant to Each Life Stage

• Turn life events and intent into simple, actionable personalization (not creepy, not noisy).

• Guide users to discover the features and benefits that match their current situation , and make them fall in love with bunq.

Communicate with Precision and Empathy

• Deliver messaging that’s useful, well-timed, and segment-specific: tips, reminders, rewards, nudges, winback.

• Ensure every message earns attention and builds trust (tone, timing, content, frequency).

Fix Retention Leaks at the Source

• Identify journey gaps and product friction that drive churn.

• Partner with Product, Data, Research, Support, and Operations to structurally remove issues , not patch them with more messaging.

Win Users Back

• Design and run winback programs that rekindle the relationship with a clear reason to return.

• Learn what actually reactivates behaviour and compound it.

Requirements

• Build, lead, coach, and grow a 10–15 person team

• Set the retention strategy across lifecycle touchpoints: onboarding → activation → habit building → monetization → loyalty → winback.

• Own the lifecycle roadmap and run a high-velocity experimentation program (A/B testing, multivariate where useful).

• Build a strong measurement framework (north-star, segment KPIs, journey-level dashboards, causal thinking).

• Establish a tight feedback loop: quantitative behaviour + qualitative user insight (interviews, outreach, research).

• Proactively monitor user sentiment and emerging issues (including external signals) and drive fixes before they scale.

• Create scalable, AI-first systems that help navigate and orchestrate the user journey

Your Space to Perform

We give you the space and the tools you need to succeed

• Join forces with great colleagues across the globe to revolutionize banking

• Make lasting impact by working on complex & exciting challenges

• Profit sharing based on the impact you make and bunq’s performance

• Great, international colleagues who share your mindset

• Hybrid setup: after 3 months in-office, work 2 days remote, 3 days in-office weekly.

• Digital Nomad program: work remotely 1 week per quarter after 1 year and 3 weeks per quarter after 2 years

• We support growth with bunq Academy and €1,500 annual learning budget

• A massive discount with Urban Sports for your wellbeing

• Travel expenses are covered whether you come walking or by bike, bus or car (though we prefer green choices)

• A MacBook so you can Get Shit Done with us

• Delicious lunches from our fabulous in-house chefs with vegan and vegetarian options

• An optional pension plan with monthly contribution from bunq

• Monthly contribution to your phone and internet bills

• Friday drinks and other celebrations - bunq style

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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.

With teams in Denver, San Francisco, and New York, we support more than 400,000 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. Learn more about our Total Rewards philosophy.

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

As the Principal Engineer for the Contractors team, you will play a pivotal role in shaping the future of Gusto’s flagship Payroll product,one of the core pillars of our platform. You will design, build, and scale the capabilities that power essential experiences for our customers. Working collaboratively with product managers, designers, and other engineers, you will deliver impactful features that meet customer needs and elevate user experiences.

As a Gusto Engineer at this level, you’ll guide projects end-to-end,shaping initial feature specifications, driving architectural decisions to bring systems closer to their desired end states, executing on complex initiatives, and maintaining code that powers mission-critical functionality. Beyond technical contributions, you’ll help define and contribute to the broader strategy of how Gusto continues to build and scale its Payroll product.

If you’re excited about solving complex, high-impact problems and want to contribute to a product that touches the lives of millions, we’d love to have you on board!

About the Team

Payroll serves as Gusto's core product, used by each of our 500,000+ customers and contributing significantly to our annual recurring revenue of over $800,000,000. Although we hold the leading market position for SMBs in the US, the market remains highly fragmented, with an estimated 90% still in need of a superior solution. The Contractors team empowers businesses to onboard and pay contractors in 120+ countries with ease and speed. This includes critical functionalities such as payroll setup, preparation, and submission, historical reporting, time tracking, and shift scheduling.

As a key member of this team, you’ll have the opportunity to make a profound impact on both the product and the customers who depend on it daily.

Here’s what you’ll do day-to-day:

• Architect, build, and maintain scalable, secure, and resilient backend systems to support Gusto’s Payroll products.

• Function as a Technical Lead across multiple teams in Pay Group, helping us keep engineers unblocked and deliver high-quality work supporting our long-term goals.

• Help scale one of the largest Ruby/Rails and TypeScript/React applications in the world.

• Collaborate on complex and ambiguous problems with partnerships from Engineering, Product Management, Design, Data Science, Compliance, Operations, and other cross-functional teams.

• Mentor and grow fellow engineers working to create holistic and scalable solutions.

• Drive the product development process from concept to launch, delivering delightful products that make payroll, taxes, and compliance simple and easy.

• Engage in a highly supportive environment working with others to drive productivity and innovation.

Here’s what we're looking for:

• 15+ years of professional software development experience.

• Experience as a tech lead, overseeing and successfully delivering projects that span multiple teams.

• Enthusiasm for a collaborative, test-driven development environment.

• Proven experience building and maintaining resilient backend systems that support customer-facing products, including optimizing existing systems for performance, reliability, and scalability.

• Ability to produce maintainable, structured, and well-documented code.

• Expertise in developing and maintaining RESTful APIs, GraphQL endpoints, and backend services, ensuring seamless integration with frontend systems and third-party services.

• Demonstrated ability in scaling engineering organizations, with a strong focus on individual and team development and mentorship.

• Experience in highly cross-functional environments working on highly complex products.

• Ability to clearly communicate technical complexity and facilitate informed trade-offs among stakeholders.

• Experience using AI tools to build, test, and iterate on products quickly.

• Understanding of how to evaluate AI-driven outputs using clear success criteria.

• A commitment to staying current on emerging backend technologies and AI frameworks and patterns, regularly experimenting with new approaches.

• Willingness to contribute to shared tools or templates that enhance the speed and safety of AI experimentation.

Our cash compensation amount for this role is targeted at $251,000-$309,000 /yr for New York. Final offer amounts are determined by multiple factors, including candidate 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, please fill out this form and a member of our team will get in touch with you.

Gusto takes security and protection of your personal information very seriously. Please review our Fraudulent Activity Disclaimer. Personal information collected and processed as part of your Gusto application will be subject to Gusto's Applicant Privacy Notice.

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Your responsibilities will include translating business problems into scalable engineering solutions, collaborating with stakeholders from engineering, product, policy, legal, operations, and data science teams, and improving engineering standards, tooling, and processes.

You will have the opportunity to work on a wide range of projects, from building new features to debugging production issues across services and multiple levels of the stack.

To be successful in this role, you will need to have a strong understanding of software engineering principles and practices, as well as excellent communication and collaboration skills.

We offer a competitive salary range of $213,512 - $285,600/yr, as well as additional benefits such as equity, company bonus or sales commissions/bonuses, 401(k) plan, medical, dental, and vision benefits, and wellness stipends.

If you're passionate about building scalable and reliable software systems, and enjoy working in a fast-paced and dynamic environment, we encourage you to apply for this exciting opportunity.

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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 is a rare opportunity to shape a product from its early stages within the stability and resources of an established, iconic brand.

You'll be at the forefront of defining how AI-powered knowledge discovery comes to market, building the narrative, playbook, and growth strategy for a product poised to transform how teams find and use information.

This role sits at the strategic centre of the organisation,partnering directly with other PMM teams, Product, Design, Growth, Sales, Comms, and executive leadership to turn bold product vision into market reality.

This is a builder's role for a leader who thrives in ambiguity and loves the challenge of taking something from zero to one.

You'll lead a team of senior PMMs and directly influence roadmap priorities, customer adoption, and revenue growth across both product-led (PLG) and sales-assisted (SLG) motions.

It's an opportunity to use creative freedom to craft the story and establish rigor that sets the standard across a growing portfolio.

Responsibilities

• Define and evolve the end-to-end narrative for Dash and priority innovation initiatives, grounded in customer insight, market context, and business strategy.

• Translate complex, AI-powered and multi-surface products into clear, compelling positioning and value propositions.

• Ensure consistent storytelling across launches, lifecycle moments, sales enablement, brand, and communications.

• Own the strategy and operating model for Dropbox’s most critical product releases.

• Build scalable frameworks that drive alignment, accountability, and execution across Product, Marketing, Growth, Sales, and Support.

• Define success metrics, adoption goals, and post-launch plans to raise rigor.

• Establish scalable mechanisms to surface customer needs, motivations, and friction across segments and surfaces.

• Synthesise insights from research, usage data, sales, and support to inform positioning, roadmap decisions, and lifecycle strategy.

• Ensure customer insight meaningfully shapes product and go-to-market decisions.

• Partner with Product and Design leadership to shape strategy, prioritisation, and sequencing based on market opportunity and customer impact.

• Bring competitive intelligence and market trends into roadmap and planning discussions.

• Align messaging strategy to company-level goals, revenue priorities, and adoption targets.

• Foster a culture of ownership, curiosity, and continuous improvement.

• Serve as a senior thought partner to Product, Growth, Sales, and Marketing leadership.

• Influence planning cycles, OKRs, and investment decisions through clear strategy and data-backed recommendations.

• Help lead organisational change as Dropbox evolves its product portfolio and GTM approach.

Requirements

• 15+ years of experience in Product Marketing or related functions, including 4+ years in people management.

• Proven success leading GTM strategy for complex, multi-surface products at scale.

• Experience in B2B SaaS, productivity, collaboration, or adjacent platforms.

• Strong understanding of positioning, launches, monetisation, and lifecycle strategy across PLG and SLG models.

• Demonstrated ability to build, coach, and scale high-performing teams.

• Executive presence with the ability to influence senior Product, Design, and Business stakeholders.

• Exceptional communication and storytelling skills.

• Comfort operating in high-ambiguity, high-accountability environments.

Preferred Qualifications

• Experience scaling AI-powered or platform products.

• Track record of building scalable systems in multi-product organisations.

• Experience partnering closely with Growth and Lifecycle Marketing teams.

Compensation

US Zone 1: $301,800-$408,200 USD

US Zone 2: $271,600-$367,400 USD

US Zone 3: $241,400-$326,600 USD

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Key Responsibilities:

• Drive the vision for the team, ensuring the team's work directly contributes to the company's goals
• Manage and mentor a team of Machine Learning engineers (L13 - L16), providing technical guidance and support to help them grow their careers
• Collaborate closely with other engineering teams at Pinterest to enhance the experience for users
• Provide visibility to senior leadership regarding the team's global impact
• Partner with stakeholders across the company to shape the future of the content ecosystem and personalization at Pinterest

Requirements:

• MS/PhD in Computer Science, ML, NLP, Statistics, Information Sciences, or equivalent experience
• Experience leading and working on a large-scale production recommendation, e-commerce, search, or ads systems that are based on state-of-the-art machine learning and big data technology
• Strong experience in related fields such as recommendation systems and applied machine learning experience is required
• Demonstrated ability to define and drive the strategic roadmap for scalable, production-quality systems from concept to execution
• Strong focus on product impact and user experience within a consumer-focused environment
• Minimum of 1 year of experience managing a high-performing machine learning engineering team of 10+ members
• 8+ years of experience in software development, with a proven track record of delivering impactful solutions

Nice to Have:

• Experience with Cursor, Copilot, Codex, or similar AI coding assistants for development, debugging, testing, and refactoring
• Familiarity with LLM-powered productivity tools for documentation search, experiment analysis, SQL/data exploration, and engineering workflow acceleration

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Your responsibilities will include:

• Helping set the technical direction for the team and influencing the engineering roadmap for the Platform's streaming capabilities
• Designing and leading the implementation of our most complex and critical systems for data-intensive use cases
• Researching and championing new technologies and architectural patterns to solve strategic challenges and scale the platform
• Leading and influencing cross-functional initiatives, ensuring technical alignment and successful execution across multiple teams
• Improving the operational posture of our systems by designing for observability, reliability, and scalability, and by mentoring others in operational best practices
• Coaching and mentoring senior engineers and acting as a technical leader across the engineering organization

You will bring to our teams:

• 5+ years of software development experience in a fast-paced, agile environment
• Experience working with Golang or Java is preferred
• Hands-on experience designing, developing and tuning highly-scalable, event-driven systems
• Solid understanding of database fundamentals and experience with event streaming technologies such as Kafka
• A passion and interest to work on systems that are highly reliable, maintainable, scalable and secure

Extra points:

• Experience with front-end technologies such as TypeScript and React
• Familiarity with cloud providers (AWS, Azure) and container technologies such as Kubernetes, Docker
• Familiarity with or interest in the Identity and Access Management (IAM) business domain

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A typical day involves working cross-functionally with product, design, and other engineering counterparts to execute on product and business strategy to build novel products and features. You will drive, lead, and contribute to the full development cycle: technical design, development, test, experimentation, analysis, and launch. You'll be reviewing code and design docs, giving feedback on product specs and mocks.

Your expertise includes 6+ years of industry experience, proficiency in at least one major programming language, experience in building large and scalable systems, ability to evaluate technical approaches and design product solutions to solve real-world problems, mentorship to junior developers, and fluent communication in both English and Chinese.

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The role will partner closely with engineering to design and build our next generation robust, and scalable tracking platform that minimizes manual intervention and maximizes signal quality and reliability.

You will work at the intersection of marketing, data and engineering. Your work will ensure that our marketing teams can leverage rich first-party signals to drive efficient growth, improve measurement, and unlock new opportunities for experimentation.

A typical day will involve developing solutions to upgrade our marketing tracking that minimize manual intervention while ensuring quality and reliability.

You will use AI tools to streamline and automate MarTech Ops responsibilities such as tag deployment, debugging, and monitoring signal health.

You will be hands on working in tag manager and our MMP to set up new ad vendors and QA marketing tracking.

You will partner with marketing and data science to deploy first party audiences for ad tracking and measurement.

You will stay up to date on global privacy frameworks and regulations (e.g., ATT, GDPR) to ensure all marketing tracking practices are compliant and uphold data integrity.

Your expertise will be required to lead, influence, and collaborate across organisational boundaries with a track record of building strong relationships with cross-functional partners.

We are particularly excited about applying AI to marketing technology , from automating tag deployment and debugging to building systems that monitor signal health and detect issues automatically.

This role is ideal for someone who is passionate about experimenting with AI tools, and improving complex marketing infrastructure.

Responsibilities: Develop solutions to upgrade our marketing tracking that minimize manual intervention while ensuring quality and reliability. Use AI tools to streamline and automate MarTech Ops responsibilities such as tag deployment, debugging, and monitoring signal health. Be hands on working in tag manager and our MMP to set up new ad vendors and QA marketing tracking. Partner with marketing and data science to deploy first party audiences for ad tracking and measurement. Stay up to date on global privacy frameworks and regulations (e.g., ATT, GDPR) to ensure all marketing tracking practices are compliant and uphold data integrity.

Requirements: 8+ years of relevant work experience, ideally in a high-growth tech startup, performance-oriented marketing organisation, or agency. Hands-on experience with paid social and performance advertising platforms such as Meta and Google. Experience using AI tools to automate operational workflows. Experience working with tag management systems such as Google Tag Manager, CAPI solutions and mobile measurement platforms such as Singular, AppsFlyer or Adjust. Strong analytical skills that can adapt to new tools and capabilities. Understanding of how privacy frameworks and regulations (such as ATT and GDPR) impact marketing measurement and tracking. Proven ability to lead, influence, and collaborate across organisational boundaries with a track record of building strong relationships with cross-functional partners.

Preferred qualifications: Passion for building systems that reduce manual work and allow teams to focus on higher-impact strategic initiatives. Experience partnering closely with engineering teams to design scalable systems and automation. Willingness and ability to get into the technical weeds when troubleshooting complex issues across tracking systems, APIs, and data pipelines. Current or previous experience being an Airbnb host is a plus.

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Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use.

As the Engineering Lead for Europe, you will manage a team of 9+ engineers directly while serving as a member of the small leadership team and working closely with your cross-functional peers. This is more than just a single-team manager role; it's the senior-most engineering leader in Europe, operating with a high degree of autonomy and acting as a co-owner of Plaid's European operations.

Responsibilities

• Lead and grow a team of 9+ engineers, from mid-level to Staff, through clear goals, coaching, and direct feedback, building a strong, accountable team culture.
• Set and drive the technical and product direction for Plaid in Europe, partnering closely with Product, Design, and business leaders to decide what we build and why.
• Work across teams to shape the roadmap, spot high-leverage opportunities, and make clear tradeoffs between speed, risk, and long-term investments.
• Go deep on technical design when needed, unblocking complex problems and maintaining a high bar for quality and reliability in production.
• Represent engineering in leadership discussions, helping guide business decisions and align European priorities with broader company strategy.

Qualifications

• 8+ years of industry experience, that includes time as a Staff-level engineer before transitioning into management.
• 2-3+ years of engineering management experience.
• Track record of building and growing strong engineering teams through coaching, clear goal-setting, and raising the talent bar.
• Experience owning a production product area and partnering closely with Product and business stakeholders to drive outcomes.
• Experience designing and evolving scalable, reliable systems that support real-world products at scale.
• Strong technical judgment, with the ability to dive deep into architecture and unblock complex cross-team problems.

Additional Information

Our mission at Plaid is to unlock financial freedom for everyone. To support that mission, we seek to build a diverse team of driven individuals who care deeply about making the financial ecosystem more equitable.

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Responsibilities:

• Collaborate closely with mobile engineers to understand their workflows and pain points and translate them into practical short-term and long-term solutions.
• Contribute to and improve our build, CI/CD, and test automation systems for Terminal SDKs, Android apps, and firmware.
• Work with stakeholders across Terminal to prioritize work, balance competing needs, and ensure your solutions integrate cleanly into existing workflows.
• Own projects end-to-end, from problem discovery and design through implementation, rollout, and ongoing operation.
• Participate in code reviews, design discussions, and documentation to maintain a high bar for code quality, reliability, and developer experience.
• Mentor other engineers in areas such as build, test, and release best practices, helping to spread strong developer productivity practices across the team.

Requirements:

• BS or MS in Computer Science or a related field, or equivalent practical experience.
• 6+ years of software engineering experience, including meaningful experience with backend systems and at least one of: Android/mobile or embedded/firmware development.
• Experience designing, implementing, and maintaining production systems or developer tooling.
• Understanding of how to build scalable, reliable, and observable services, pipelines, or tooling.
• Experience owning projects from design through implementation, rollout, and ongoing support.
• Ability to thrive in a collaborative environment involving multiple stakeholders and subject matter experts.
• Strong communication skills and the ability to explain technical concepts clearly to different audiences.

Preferred Qualifications:

• Proficiency in one or more of: Kotlin, Java, or Go.
• Experience building tools or platforms to improve developer productivity, with clear empathy for internal developer users.
• Experience with CI/CD tooling and pipelines (e.g. Jenkins, GitLab CI, GitHub Actions) and modern build systems.
• Experience designing and maintaining automated testing infrastructure (e.g. integration/end-to-end tests, test orchestration, or reducing test flakiness).
• Experience with Android build and test tooling (e.g. Gradle, emulators, device farms) or firmware build pipelines.
• Experience in payments, point-of-sale, or hardware-integrated systems is a plus.

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Location

New York City

Employment Type

Full time

Location Type

Hybrid

Department

Compensation

• $232K – $350K • Offers Equity • Multiple Ranges

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

OpenAI’s mission is to build safe artificial general intelligence (AGI) which benefits all of humanity. This long-term undertaking brings the world’s best scientists, engineers, and business professionals into one lab together to accomplish this.

In pursuit of this mission, our Go To Market (GTM) team is responsible for helping customers learn how to leverage and deploy our highly capable AI products across their business. The team is made of Sales, Solutions, Support, Marketing, and Partnership professionals that work together to create valuable solutions that will help bring AI to as many users as possible.

About the role

As an Account Director focused on Financial Services you will own executive-level relationships with leading Financial Services organizations. You’ll help these companies safely and effectively deploy OpenAI’s technology to accelerate financial data analysis, automate backend operations, drive AI-powered research, and personalize customer engagement.

This role blends literacy, technical depth, business acumen, and relationship-driven enterprise sales. You will collaborate closely with researchers, engineers, and financial services solution strategists to design secure, compliant, and high-impact AI deployments.

This role is based in New York City. We use a hybrid work model of three days in the office per week and offer relocation assistance to new employees.

In this role, you’ll:

• Manage a focused portfolio of Financial Services accounts, developing long-term strategic account plans

• Lead complex, multi-stakeholder sales cycles spanning banks, hedge funds, and asset managers

• Partner with solutions and research engineering to design pilots that demonstrate measurable business impact

• Collaborate with compliance, privacy, and security teams to ensure responsible deployment of AI in regulated environments

• Own a revenue and consumption target; manage forecasts and pipeline reporting

• Monitor industry and regulatory trends to guide customer and product strategy

• Represent OpenAI at industry conferences and thought-leadership events (e.g., Money2020)

• Partner cross-functionally with marketing, partnerships, and communications to build the Financial Services go-to-market motion

You might thrive in this role if you:

• 14+ total years selling complex enterprise software or platform-as-a-service solutions

• 4+ years selling to Financial Services

• Proven success achieving annual revenue targets >$2M+ in regulated industries

• Experience managing C-suite relationships

• Strong understanding of financial services workflows

• Demonstrated ability to design and execute complex deal and partnership strategies

• Are customer-centric and can translate complex business needs into transformative AI solutions

• Are a builder who enjoys designing scalable systems and repeatable sales motions from the ground up

• Are a strategist who anticipates industry shifts and guides enterprise customers through them

• Are energized by ambiguity and motivated to create structure and clarity across complex, cross-functional engagements

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. They push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through their products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve their mission, they must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

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GTM Onboarding Program Manager

Location

San Francisco

Employment Type

Full time

Location Type

Hybrid

Department

Compensation

• $177K – $251K • 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

The Enablement team translates OpenAI’s product innovation into real-world customer impact by equipping customer-facing teams with the knowledge, tools, and frameworks needed to succeed in their roles.

About the role

OpenAI is hiring a GTM Onboarding Program Manager to own the operational backbone of onboarding for our global go-to-market organization.

In 2026, OpenAI plans to onboard a large volume of customer-facing employees across sales, technical success, partnerships, and customer success. The onboarding program already exists — this role focuses on operating, scaling, and continuously improving the system that powers it.

You will manage onboarding operations end-to-end: coordinating cohorts, aligning stakeholders, evolving program structure, and ensuring new hires ramp quickly and confidently. You will also help modernize onboarding through AI-first workflows, data-driven iteration, and scalable systems that reduce operational burden while improving the learning experience.

This role is based in San Francisco and works closely with leaders across Sales, Technical Success, Product Enablement, Recruiting, and Revenue Operations.

In this role, you will:

• Run the operational cadence of GTM onboarding programs across multiple roles and hiring cohorts

• Translate hiring forecasts and business priorities into structured onboarding execution

• Manage onboarding logistics including scheduling, communications, certifications, and stakeholder coordination

• Partner with subject matter experts across Product, Sales, and Technical Success to keep onboarding current as products and messaging evolve

• Design scalable systems and processes that support high-volume onboarding while maintaining a high-quality experience

• Implement AI-forward approaches to onboarding operations and learner experience

• Establish and track onboarding success metrics including participation, readiness signals, and ramp indicators

• Continuously improve the program based on field feedback, business changes, and hiring scale

You'll thrive in this role if you:

• Enjoy turning complex programs into repeatable systems that scale

• Have experience operating GTM onboarding or enablement programs in fast-growing technology companies

• Are highly organized and comfortable managing multiple workstreams simultaneously

• Communicate clearly and build trust with stakeholders across different teams and levels

• Think in systems and processes rather than one-off solutions

• Bring curiosity and creativity to applying AI tools to improve workflows and learning experiences

• Are comfortable operating in environments where priorities, products, and hiring needs evolve quickly

Basic qualifications

• Experience owning or operating onboarding or enablement programs for customer-facing teams

• Strong program management and organizational skills

• Experience working cross-functionally with multiple stakeholders

• Ability to manage complex logistics and recurring program operations

• Willingness to work in-office in San Francisco

Preferred qualifications

• Experience supporting sales, technical success, or customer success organizations

• Experience scaling onboarding programs in high-growth environments

• Familiarity with learning platforms, enablement tooling, or onboarding systems

• Experience using AI tools to improve operational workflows or learning programs

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives and experiences of our team members.

XML job scraping automation by YubHub

Location

London, UK

Employment Type

Full time

Department

About the Role

At OpenAI, we believe that artificial general intelligence (AGI) should benefit all of humanity. To realize this vision, we’re building the technical foundations that help enterprises move from experimentation to real-world, production-grade use of our platform and coding products.

The Lead, Technical ADM is a foundational role in that effort. You will shape how OpenAI’s deep technical expertise is delivered to builders and coders — moving us from high-touch, scarce delivery to a scalable, repeatable technical training motion that drives real customer outcomes.

The Technical ADM function translates OpenAI’s platform capabilities into practical, high-quality technical training that helps customers design, build, and deploy real systems. This role sits at the intersection of technical depth, education, and scale. You will lead by doing first — delivering high-impact technical trainings yourself — and then build the team, standards, and operating model that allow this work to scale without sacrificing rigor.

This is a founding leadership role with meaningful visibility and a clear growth path as impact is demonstrated.

Responsibilities

Build and scale OpenAI’s technical training motion

Design and own the technical services menu for OpenAI’s API and coding products — deciding what we deliver live, what becomes repeatable, and what we stop doing.

• Deliver high-impact technical trainings yourself (e.g., API 103-level depth, applying OpenAI products to real enterprise use cases, evolving customer SDLCs).

Partner closely with Customer Education to define and maintain the canonical builder and coder journey, from onboarding through production use.

Own outcomes and impact

• Be accountable for technical training outcomes, including:

• Production use cases launched

• Token consumption and platform usage for educated customers

• Throughput and reuse of technical training

• Continuously evaluate tradeoffs between depth vs. scale, bespoke vs. repeatable, and speed vs. rigor — and adjust the model as we learn.

Build the Technical ADM function

• Hire, develop, and lead our first cohort of technical ADMs

• Establish standards for technical depth, delivery quality, and excellence in training.

• Create the operating model that enables the function to scale sustainably as demand grows.

• Collaborate with Core / Coding / Emerging Products teams to standardize the ADM motion.

Partner across OpenAI

• Deliver technical trainings on behalf of — and in close partnership with — SAs and ASEs.

• Build strong working relationships with Product, Engineering, and Developer teams to ensure technical training remains current, credible, and aligned with the platform roadmap.

Ideal Background and Experience

• Deep technical fluency with APIs and modern software development workflows.

• Ability to teach and explain complex technical concepts at 103-level depth, including how OpenAI products change how teams design and ship software.

• Demonstrated ability to do the work first and then scale it through others.

• Strong judgment navigating tradeoffs between bespoke delivery and scalable systems.

• Early leadership experience or strong interest in growing as a people manager.

• Experience in technical enablement, developer education, platform adoption, or adjacent customer-facing technical roles is a plus.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

XML job scraping automation by YubHub

At OpenAI, we believe that artificial general intelligence (AGI) should benefit all of humanity. To realize this vision, we’re building the technical foundations that help enterprises move from experimentation to real-world, production-grade use of our platform and coding products.

The Lead, Technical ADM is a foundational role in that effort. You will define how OpenAI’s deep technical expertise is delivered to builders and engineering teams — moving us from high-touch, scarce delivery to a scalable, repeatable technical training motion that drives real customer outcomes.

This role is responsible for designing and scaling OpenAI’s technical adoption motion for developers. The Technical ADM function translates OpenAI’s platform capabilities into practical, high-quality technical training that helps customers design, build, and deploy real systems. This role sits at the intersection of technical depth, education, and scale.

You will lead by doing first — delivering high-impact technical trainings yourself — and then build the team, standards, and operating model that allow this work to scale globally.

This is a founding leadership role with meaningful visibility and a clear growth path as impact is demonstrated.

Responsibilities

Build and scale OpenAI’s technical adoption motion

• Design and own the technical adoption motion for OpenAI’s API and coding products — deciding what we deliver live, what becomes repeatable, and what we stop doing.

• Define how OpenAI delivers technical expertise to developers and engineering teams at scale.

• Design and deliver high-impact technical services (e.g., API 103-level depth, applying OpenAI products to real enterprise use cases, evolving customer SDLCs).

• Focus on how our platform changes software development, system design, and enterprise SDLCs

Own outcomes and impact

• Be accountable for measurable outcomes from technical education efforts, including

• Production use cases launched

• Token consumption and platform usage for educated customers

• Throughput and reuse of technical training

• Continuously evaluate tradeoffs between depth vs. scale, bespoke vs. repeatable, and speed vs. rigor — and adjust the model as we learn.

Build the Technical ADM function

• Hire, develop, and lead our first cohort of technical ADMs

• Establish standards for technical depth, delivery quality, and excellence in training.

• Create the operating model that enables the function to scale sustainably as demand grows.

• Collaborate with Core / Coding / Emerging Products teams to standardize the ADM motion.

Partner across OpenAI

• Works closely with Product, Engineering, and DevEx teams to ensure technical programs remain aligned with the platform roadmap

• Partner closely with Customer Education to define and maintain the canonical builder and coder journey, from onboarding through production use.

• Partner with SAs and ASEs to ensure programs reinforce other technical engagement models

Ideal Background and Experience

• Deep technical fluency with APIs and modern software development workflows.

• Ability to teach and explain complex technical concepts at 103-level depth, including how OpenAI products change how teams design and ship software.

• Demonstrated ability to do the work first and then scale it through others.

• Strong judgment navigating tradeoffs between bespoke delivery and scalable systems.

• Early leadership experience or strong interest in growing as a people manager.

• Experience in technical enablement, developer education, platform adoption, or adjacent customer-facing technical roles is a plus.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and scale our technology to benefit various industries.

XML job scraping automation by YubHub

Account Director, Retail

Location

San Francisco

Employment Type

Full time

Department

Compensation

• $232K – $350K • Offers Equity • Multiple ranges

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

OpenAI’s mission is to build safe artificial general intelligence (AGI) which benefits all of humanity. This long-term undertaking brings the world’s best scientists, engineers, and business professionals into one lab together to accomplish this.

In pursuit of this mission, our Go To Market (GTM) team is responsible for helping customers learn how to leverage and deploy our highly capable AI products across their business. The team is made of Sales, Solutions, Support, Marketing, and Partnership professionals that work together to create valuable solutions that will help bring AI to as many users as possible.

About the role

As an Account Director focused on Retail, you will own executive-level relationships with leading retail organizations, including global brands, e-commerce platforms, and consumer goods companies. You’ll help these companies safely and effectively deploy OpenAI’s technology to transform customer experience, optimize supply chains, enhance merchandising strategies, and personalize consumer engagement.

This role blends market literacy, technical depth, business acumen, and relationship-driven enterprise sales. You will collaborate closely with researchers, engineers, and retail-focused solution strategists to design secure, compliant, and high-impact AI deployments.

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

In this role, you’ll:

• Manage a focused portfolio of retail accounts, developing and executing on long-term strategic account plans

• Lead complex, multi-stakeholder sales cycles spanning merchandising, operations, marketing, and commercial functions

• Partner with solutions and research engineering to design pilots that demonstrate measurable business and customer impact

• Collaborate with compliance, privacy, and security teams to ensure responsible deployment of AI in regulated environments

• Own a revenue and consumption target; manage forecasts and pipeline reporting

• Monitor industry and regulatory trends (e.g., FTC, consumer protection, etc.) to guide customer and product strategy

• Represent OpenAI at industry conferences and thought-leadership events (e.g., NRF, Shoptalk)

• Partner cross-functionally with marketing, partnerships, and communications to build the Retail go-to-market motion

We’re seeking someone with experience including:

• 14+ years selling complex enterprise software or platform-as-a-service solutions

• 4+ years selling to retail or consumer goods customers

• Experience managing C-suite relationships across merchandising, IT, marketing, and commercial teams

• Strong understanding of retail and consumer goods workflows (e.g., inventory management, customer analytics, e-commerce operations, marketing campaigns)

• Demonstrated ability to design and execute complex deal and partnership strategies

You might thrive in this role if you:

• Are customer-centric and can translate complex market and business needs into transformative AI solutions

• Are passionate about advancing consumer experiences through the safe and ethical use of AI

• Are a builder who enjoys designing scalable systems and repeatable sales motions from the ground up

• Are a strategist who anticipates industry shifts and guides enterprise customers through them

• Are energized by ambiguity and motivated to create structure and clarity across complex, cross-functional engagements

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve this, we are committed to advancing the state of the art in AI safety and developing new technologies that can help us better understand and mitigate the risks associated with AI.

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Account Director, Insurance

Location

New York City

Employment Type

Full time

Location Type

Hybrid

Department

Compensation

• $232K – $350K • Offers Equity • Multiple Ranges

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

OpenAI’s mission is to build safe artificial general intelligence (AGI) which benefits all of humanity. This long-term undertaking brings the world’s best scientists, engineers, and business professionals into one lab together to accomplish this.

In pursuit of this mission, our Go To Market (GTM) team is responsible for helping customers learn how to leverage and deploy our highly capable AI products across their business. The team is made of Sales, Solutions, Support, Marketing, and Partnership professionals that work together to create valuable solutions that will help bring AI to as many users as possible.

About the role

As an Account Director focused on Insurance you will own executive-level relationships with leading Insurance organizations. You’ll help these companies safely and effectively deploy OpenAI’s technology to accelerate financial data analysis, automate backend operations, drive AI-powered research, and personalize customer engagement.

This role blends literacy, technical depth, business acumen, and relationship-driven enterprise sales. You will collaborate closely with researchers, engineers, and financial services solution strategists to design secure, compliant, and high-impact AI deployments.

This role is based in New York City. We use a hybrid work model of three days in the office per week and offer relocation assistance to new employees.

In this role, you’ll:

• Manage a focused portfolio of Financial Services, specifically Insurance accounts, developing long-term strategic account plans

• Lead complex, multi-stakeholder sales cycles

• Partner with solutions and research engineering to design pilots that demonstrate measurable business impact

• Collaborate with compliance, privacy, and security teams to ensure responsible deployment of AI in regulated environments

• Own a revenue and consumption target; manage forecasts and pipeline reporting

• Monitor industry and regulatory trends to guide customer and product strategy

• Represent OpenAI at industry conferences and thought-leadership events (e.g., Money2020)

• Partner cross-functionally with marketing, partnerships, and communications to build the Financial Services go-to-market motion

You might thrive in this role if you:

• 14+ total years selling complex enterprise software or platform-as-a-service solutions

• 4+ years selling to Financial Insurance organizations

• Proven success achieving annual revenue targets >$2M+ in regulated industries

• Experience managing C-suite relationships

• Strong understanding of financial services workflows

• Demonstrated ability to design and execute complex deal and partnership strategies

• Are customer-centric and can translate complex business needs into transformative AI solutions

• Are a builder who enjoys designing scalable systems and repeatable sales motions from the ground up

• Are a strategist who anticipates industry shifts and guides enterprise customers through them

• Are energized by ambiguity and motivated to create structure and clarity across complex, cross-functional engagements

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

XML job scraping automation by YubHub

Location

London, UK

Employment Type

Full time

Department

Applied AI

About the Team

The Applications Engineering team works across research, engineering, product, and design to bring OpenAI’s technology to consumers and businesses.

You’ll join the team responsible for running the core infrastructure that supports products like ChatGPT and the API. The systems we support include our kubernetes clusters, infrastructure deployment, our networking stack, cloud abstractions, and more.

We seek to learn from deployment and distribute the benefits of AI, while ensuring that this powerful tool is used responsibly and safely. Safety is more important to us than unfettered growth.

About the Role

The cloud infrastructure team builds and maintains infrastructure abstractions allowing OpenAI to ship products quickly and scalably.

In this role, you will:

• Design and build the development and production platforms that power our products, enabling reliability and security at scale

• Ensure our infrastructure can scale to the next order of magnitude

• Help create a diverse, equitable, and inclusive culture that makes all feel welcome while enabling radical candor and the challenging of group think

• Like all other teams, we are responsible for the reliability of the systems we build. This includes an on-call rotation to respond to critical incidents as needed.

You might thrive in this role if you:

• Have 5+ years building core infrastructure

• Have experience operating orchestration systems such as Kubernetes at scale

• Have experience building abstractions over cloud platforms

• Take pride in building and operating scalable, reliable, secure systems

• Are comfortable with ambiguity and rapid change

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

XML job scraping automation by YubHub

San Francisco

Employment Type

Full time

Department

Applied AI

Compensation

• $230K – $490K • 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

The Applied Engineering team works across research, engineering, product, and design to bring OpenAI’s technology to consumers and businesses.

You’ll join the team responsible for running the core infrastructure that supports products like ChatGPT and the API. The systems we support include our kubernetes clusters, infrastructure deployment, our networking stack, cloud abstractions, and more.

We seek to learn from deployment and distribute the benefits of AI, while ensuring that this powerful tool is used responsibly and safely. Safety is more important to us than unfettered growth.

About the Role

The cloud infrastructure team builds and maintains infrastructure abstractions allowing OpenAI to ship products quickly and scalably.

This role is based in San Francisco, CA.

In this role, you will:

• Design and build the development and production platforms that power our products, enabling reliability and security at scale

• Ensure our infrastructure can scale to the next order of magnitude

• Help create a diverse, equitable, and inclusive culture that makes all feel welcome while enabling radical candor and the challenging of group think

• Like all other teams, we are responsible for the reliability of the systems we build. This includes an on-call rotation to respond to critical incidents as needed.

You might thrive in this role if you:

• Have 5+ years building core infrastructure

• Have experience operating orchestration systems such as Kubernetes at scale

• Have experience building abstractions over cloud platforms

• Take pride in building and operating scalable, reliable, secure systems

• Are comfortable with ambiguity and rapid change

This role is exclusively based in our San Francisco HQ. We offer relocation assistance to new employees.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

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Research Engineer, Notifications

Location

San Francisco

Employment Type

Full time

Department

Applied AI

Compensation

• $295K – $680K • 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

The ChatGPT team works across research, engineering, product, and design to bring OpenAI’s technology to the world.

We seek to learn from deployment and broadly distribute the benefits of AI, while ensuring that this powerful tool is used responsibly and safely. We aim to make our innovative tools globally accessible, transcending geographic, economic, or platform barriers. Our commitment is to facilitate the use of AI to enhance lives, fostered by rigorous insights into how people use our products.

About the Role

We are looking for a Machine Learning Engineer to join our Notifications team, focused on building and scaling intelligent notification systems that provide real value to users even when they are not actively on the product. This role will be central to shaping how ChatGPT communicates proactively and helpfully with users—surfacing the right content, at the right time, through the right channel.

You will work on designing and implementing ranking and recommendation systems that leverage both classical ML techniques and large language models (LLMs) to optimize notification relevance, timeliness, and user experience. The ideal candidate has strong ML fundamentals, experience shipping ranking or recommendation systems in production, exposure to LLMs, and sharp product intuition. You should be comfortable operating across research and product boundaries: thinking from first principles, running rigorous experiments, and building scalable systems.

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:

• Design and build end-to-end ranking and recommendation systems for notifications, from modeling to evaluation and deployment.

• Apply and adapt LLMs to ranking problems, including prompt-based approaches and fine-tuning.

• Develop experiments to evaluate notification relevance, user value, and long-term impact, working closely with product, data science, and engineering teams.

• Collaborate with research teams to leverage the latest modeling techniques while balancing practical constraints of production systems.

• Build robust offline and online evaluations to measure system improvements and user outcomes.

• Contribute to the broader Growth ML stack and help set technical direction for intelligent user engagement systems.

You might thrive in this role if you:

• Have hands-on experience building and deploying ranking, recommendation, or personalization systems at scale.

• Have a deep understanding of machine learning and its applications, with exposure to LLMs and their integration into product experiences.

• Are experienced in experimentation, A/B testing, and analyzing impact on user behavior and business metrics.

• Are comfortable diving into large ML codebases, designing evaluations, and debugging complex modeling issues.

• Thrive in dynamic, fast-changing environments and can think from first principles to design elegant solutions.

• Have strong product intuition and can balance modeling sophistication with product impact.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

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Microsoft are looking for a talented Member of Technical Staff, Applied Scientist at their Mountain View office. This role sits at the heart of designing and building advanced Copilot features such as Deep Research and Web artifact generation. You'll contribute to the evolution of Copilot by developing scalable methods for evaluating feature performance, designing data collection pipelines for prompt engineering and fine-tuning, and training content classifiers that support intelligent, context-aware interactions.

About the Role

This role demands deep expertise in large language models (LLMs) and a strong architectural mindset to shape complex, user-facing systems. You'll lead evaluation efforts of models deployed within Copilot, ensuring performance aligns with product goals. You'll also design scalable systems that leverage LLMs to deliver intelligent, user-facing experiences. Additionally, you'll develop evaluation frameworks and metrics to assess feature performance and user impact, conduct thorough reviews of data analysis and techniques to identify gaps and areas for re-examination, and build data collection pipelines to support prompt engineering and fine-tuning of LLMs.

Accountabilities

• Architect and implement advanced Copilot features such as Deep Research and Web artifact generation
• Lead evaluation efforts of models deployed within Copilot, ensuring performance aligns with product goals

The Candidate we're looking for

Experience:

• 4+ years related experience (e.g., statistics predictive analytics, research)

Technical skills:

• Experience prompting, evaluating, and working with large language models
• Experience writing production-quality Python code

Personal attributes:

• Proactive collaborator who communicates clearly
• Thrives in fast-paced environments
• Takes ownership of delivering world-class consumer experiences

Benefits

• Competitive salary
• Comprehensive benefits package
• Opportunities for professional growth and development
• Collaborative and dynamic work environment
• Recognition and rewards for outstanding performance

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