This is a high-impact, high-visibility role at the heart of Growth Engineering, partnering closely with Pricing & Packaging, Order, Self-Serve, Sales, Finance, Enterprise Systems, Analytics, and Billing Operations.

You'll drive clarity, focus, and execution across a mission-critical platform while fostering a culture of ownership, accountability, and incredibly high standards.

Key responsibilities include:

• Leading and scaling a team building and enhancing Intercom's billing, subscription, invoicing, and metering capabilities , the backbone of revenue and monetisation experiences.

• Owning and improving the reliability and operational excellence of Billing systems: on-call quality, incident response, observability, and product health standards.

• Partnering with Senior and Staff Engineers to shape and execute the technical strategy across subscription management, metering, invoicing, and integrations (e.g., Stripe Billing) , balancing near-term needs with long-term platform evolution.

• Collaborating deeply with Product, Design, Sales, Finance, Enterprise Systems, Analytics, and Billing Ops to prioritise the roadmap, close operational gaps, and deliver measurable business outcomes each quarter.

• Cultivating and managing trusted relationships with partner leaders in Finance, Enterprise Systems, and Analytics to ensure alignment on data flows, compliance, reconciliation, and business reporting needs.

• Driving migrations and modernisation work where needed (e.g., Stripe-first capabilities, systems parity and improvements), ensuring safe change management and robust downstream data flows.

• Bringing clarity and alignment to priorities, tradeoffs, and timelines; setting a high bar for planning, testing, and end-to-end quality, especially for revenue-impacting launches.

• Developing and retaining top talent through coaching, clear expectations, and effective delegation; scaling yourself via strong tech-lead partnerships and “coach-and-delegate” leadership.

• Promoting a culture of ownership, accountability, and incredibly high standards , moving quickly, communicating crisply, and celebrating wins.

Requirements include:

• 5+ years managing software engineering teams building and shipping customer-facing or revenue-impacting systems (e.g., billing, payments, pricing, subscriptions).

• Strong technical leadership: comfortable diving into architecture, debugging complex systems, reviewing designs, and making pragmatic tradeoffs to ship safely and fast.

• Proven ability to lead a cross-functional, full-stack team through planning and delivery with clear ownership of business outcomes and product health metrics.

• Excellent product sense and customer empathy , you translate ambiguous requirements into clear scopes, milestones, and measurable impact.

• Skilled communicator who drives alignment across partner teams (Sales, Finance, Enterprise Systems, Analytics, Product, Design) and keeps stakeholders informed and unblocked.

• Track record of cultivating and managing senior relationships across Finance, Enterprise Systems, and Analytics to land durable solutions and accurate downstream reporting.

• Relentless about outcomes , you identify the highest-leverage problems, remove roadblocks, and hold the bar on quality without slipping schedules.

• AI-first mindset with a high bar for excellence: fluent in using AI tools to accelerate planning, execution, quality, and communication , and to inspire adoption across the team.

Bonus skills and attributes include:

• Experience with Stripe Billing or similar billing/subscription platforms; familiarity with usage metering and invoicing pipelines.

• Background in customer-facing SaaS and/or scale-up environments operating at high velocity.

• Experience leading operational excellence initiatives (on-call, incidents, observability) for revenue-critical systems.

Success looks like:

• 30 days: You understand the domain, architecture, on-call posture, partner landscape, and active initiatives; you've built trust with engineers and partner leads and stabilised any urgent operational issues.

• 60 days: Clear, realistic roadmap and execution plan across platform, product health, and partner asks; visible improvements in on-call rigor and update cadence; risks surfaced with mitigation plans co-owned with Finance, Enterprise Systems, and Analytics.

• 90 days: Shipped at least one meaningful capability or reliability improvement; measurable progress on top business outcomes; staffing/skills gaps identified with a concrete plan to address them.

Team and domain:

Mission: Bill customers reliably and accurately, and provide core monetisation and operational capabilities for Intercom.

Partners: Pricing & Packaging, Order, Self-Serve, Sales, Finance, Enterprise Systems, Analytics, Billing Ops, Data/Analytics.

Key areas: Subscription management, usage metering (e.g., Fin features), invoicing, revenue recognition data flows, admin tools, and ops workflows.

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Your responsibilities will include identifying areas where ML can create value for our customers, identifying the right ML framing of product problems, working with teammates and Product and Design stakeholders, conducting exploratory data analysis and research, deeply understanding the problem area, researching and identifying the right algorithms and tools, being pragmatic, but innovating right to the cutting-edge when needed, performing offline evaluation to gather evidence an algorithm will work, working with engineers to bring prototypes to production, planning, measuring & socializing learnings to inform iteration, and partnering deeply with the rest of team, and others, to build excellent ML products.

To be successful in this role, you will need to have broad applied machine learning knowledge, 3-5 years applied ML experience, practical stats knowledge (experiment design, dealing with confounding etc), intermediate programming skills, strong communication skills, both within engineering teams and across disciplines, comfort with ambiguity, typically have advanced education in ML or related field (e.g. MSc), and scientific thinking skills. Bonus skills and attributes include track record shipping ML products, PhD or other experience in a research environment, deep experience in an applicable ML area. e.g. NLP, Deep learning, Bayesian methods, Reinforcement learning, clustering, strong stats or math background, visualization, data skills, SQL, matplotlib, etc.

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This is what we do every day at Databricks.

We are looking for a creative, delivery-oriented Enterprise Account Executive to join the team in the Nordics to maximise the phenomenal market opportunity that exists for Databricks.

As an Account Executive, you know how to sell innovation and value to existing customers, identify new use cases and grow consumption and can guide deals forward to compress decision cycles.

You love understanding a product in depth and are passionate about communicating its value to customers and partners.

You will be offered huge potential for career progression with the pace of the team's growth.

You will report to the Sales Director for Sweden.

The impact you will have:

Assess your territory and develop a successful execution strategy Drive quarter-on-quarter consumption growth in existing accounts Exceed activity and quarterly revenue targets Track all customer details including use case, purchase time frames, next steps, and forecasting in Salesforce Identify new use case opportunities and showcase value to existing customers Promote the value of the Databricks' Data Intelligence Platform Orchestrate and utilise our field engineering teams to ensure valuable outcomes for clients Build and demonstrate value with all engagements to guide successful negotiations to close point

What we look for:

Extensive understanding of the data platform, open source and cloud ecosystems Highly skilled in prospecting research and ability to map out key stakeholders Demonstrated success in Value Selling and developing a mutual action plan Ability to influence decision-making and strategy with customer leadership teams Ability to establish credibility with the C-suite Adept in selling to technical buyers Experience growing consumption and closing commit deals in a direct sales role Mastery of MEDDPICC Bachelor's Degree or relevant work experience Fluency in English and in Swedish is required

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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.

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.

We're looking for seasoned full-stack software engineers to join the teams behind Gusto's payments and risk platforms to serve small business owners every day. As a Staff Software Engineer, you'll operate across the full lifecycle of either the payments or risk system: shaping architecture early in the design process, building self-service internal features and APIs, and owning their performance long after launch.

That means engineering the core business engine, enabling product teams with reliable backend services, and setting the engineering standard for those around you. If you're drawn to enabling world-class money movement or financial risk system with impact , helping power the livelihoods of millions using Gusto products , join us!

About the Teams:

Payments – The Payments team owns all money movement operations across Gusto's suite of products , enabling funds to move safely between partners, employers, employees, and government authorities. As a Payments Engineer, you'll build new payments capabilities across US and international markets, and help rearchitect our payments platform to scale for the future.

Risk – The Risk team builds best-in-class experiences that protect Gusto and our customers from financial and reputational harm. As a Risk Engineer, you'll develop infrastructure for two core areas: bad actor prevention , stopping fraudsters from abusing Gusto's platform while reducing false positives , and credit underwriting and collections, enabling faster, broader access to credit while minimizing financial loss.

Here’s what you’ll do day-to-day:

• Design, build, and test Gusto core money movement or risk platform services – payment rails, ledgering, wallets, fraud, decisioning engine, KYC, AML, and compliance capabilities, among others
• Mentor other engineers to help solve some of the hardest technical problems out there in very complex domains and at a large scale
• Help scale one of the largest Ruby/Rails and Javascript/React applications in the world
• Collaborate with our Product Engineering, Product Management, Data, Design, and financial operations teams to understand customer pain points, come up with solutions, and then prototype, iterate, and launch
• Build platforms that engineering teams rely on, and trust to deliver products that our customers genuinely love

Here’s what we're looking for:

• Successful applicants typically have 8+ years of software development experience
• Passion for creating scalable, efficient money movement platforms for users
• Experience leveraging AI tools or systems to accelerate development, improve testing, and deliver new platform capabilities
• Curiosity and experimentation with emerging AI frameworks, applying and sharing best practices to evaluate and scale AI use safely across teams
• Experience owning multi-quarter projects that solve complex engineering problems and make measurable user impact at scale
• Experience with large scale refactors, performance and reliability issues, and a strong sense of ownership over all aspects of your platform area
• Ability to mentor engineers to maximize their performance and impact

Others:

• Experience in, or interest working in, Ruby on Rails
• Appreciation for a collaborative, test-driven environment
• Ability to build well-structured, maintainable, well-documented code
• Ability to effectively communicate across engineering teams and with business stakeholders

Do you prefer a non-payments or risk-specific platform role instead? Check out our Staff Software Engineer, Core Platforms job listing. Please note that a two day travel to a Gusto office for onboarding is required for this position. If you have any questions regarding this requirement, please share with your recruiter.

Our cash compensation amount for this role is targeted at $163,000–$204,000 in Denver & most remote locations, and $197,000–$247,000 for San Francisco & New York. Stock equity is additional. Final offer amounts are determined by multiple factors including candidate experience and expertise and may vary from the amounts listed above.

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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.

Engineering

Engineering at Brex is about building systems that scale with speed and intention.

Our teams span Software, Data, Security, and IT, and operate with high autonomy and deep collaboration.

We tackle hard technical problems, own our outcomes, and push for excellence at every level , from architecture to deployment.

It’s an environment where engineering is a craft, and builders become leaders.

What you’ll do

You will lead the engineering group responsible for driving Brex’s growth engine.

This role involves strategic planning, team management, technical guidance, and cross-functional collaboration.

The ideal candidate is a seasoned engineering leader with a strong background in driving growth.

Where you’ll work

This role will be based in our New York 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

• Lead and mentor high-performing teams of both product engineers and Salesforce admins and developers, fostering their career development through coaching, feedback, and hands-on guidance.

• Drive the architectural vision, technical roadmap, and project execution for our Salesforce platform, GTM applications, and Marketing website (Brex.com), ensuring scalability, performance, and security.

• Champion and integrate AI-native solutions within our Sales, Marketing, Operations, and CX systems and workflows of your teams to drive efficiency and unlock new capabilities.

• Partner with stakeholders across Sales, Marketing, Operations, and CX, acting as a strategic advisor to translate business needs into a prioritized engineering backlog while being jointly accountable to business metrics such as CAC, payback, and rep capacity.

• Own the operational excellence of your group, managing sprint capacity, removing blockers, and ensuring high-velocity, high-quality delivery.

• Establish and enforce engineering best practices for Sales and Marketing applications and the Salesforce ecosystem, including advanced DevOps (CI/CD, source control, release management), code quality, and system governance.

• Design and oversee the implementation of complex integrations and automation across our GTM systems and third-party applications, including owning build vs buy decisions.

Requirements

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

• 8+ years of software engineering experience with a strong technical background, with 3+ years of experience managing or leading multiple technical teams in a high-growth environment.

• 3+ years of progressive experience in Salesforce development and architecture.

• Deep expertise in the Salesforce platform, including Apex, Lightning Web Components, SOQL, and platform APIs.

• Experience architecting and building robust integrations between Salesforce and a broader ecosystem of GTM tools and third-party applications.

• Excellent interpersonal and relationship-building skills with the ability to manage and communicate effectively with XFN partners (e.g. Sales, Marketing, CX, and Operations) at all levels, from individual contributors to senior leadership.

• A strategic mindset with the ability to balance long-term platform health with immediate business needs, and a proven ability to prioritize and push back when work is not aligned with company goals.

• A passion for leveraging AI to improve both team productivity and the products you build.

Bonus points

• Salesforce certifications (e.g., Platform Developer II, Application/System Architect).

• Experience managing remote or distributed engineering teams.

• Former founders welcome.

• Experience building Slack applications and integrations.

• Experience with B2B growth.

• You have started your own technology venture or were a foundational engineering member of an early-stage start up.

We value entrepreneurial spirit & scrappiness!

• You are a champion for the customer and constantly put yourself in the shoes of your users, and strive to create an intuitive and delightful experience.

Compensation

The expected salary range for this role is $300,000 - $375,000.

However, the starting base pay will depend on a number of factors including the candidate’s location, skills, experience, market demands, and internal pay parity.

Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package.

Brex LLC is a wholly owned subsidiary of Capital One, N.A.

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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Responsibilities:

• Lead and execute complex data science projects that directly advance our drug development portfolio
• Develop and implement sophisticated models for therapeutic hypothesis evaluation, including patient stratification and biomarker identification
• Design and create AI models for modernizing clinical trial evaluations, including surrogate endpoints
• Aid in the development and training of AI agents to automate and optimize biomedical workflows
• Collaborate cross-functionally with clinical, technical, and research teams
• Present complex analytical findings to senior stakeholders, including executive leadership

About You:

• Required Qualifications:

+ PhD in computational sciences or life sciences + 3+ years of post-academic experience in life sciences (biotech, pharma, consulting) + Strong programming skills, particularly in Python + Extensive experience in multi-modal bioinformatics analysis

• Preferred Qualifications:

+ Proven expertise in cloud computing environments, including proficiency with tabular and/or graph databases + Strong background in machine learning and deep learning, particularly in biological applications + Experience with large language models (LLM) + Demonstrated ability to collaborate effectively with engineering teams on production systems + Strong communication skills with proven ability to present complex technical findings to senior stakeholders

Total Compensation Range: $170,000 - $215,000

Where We Hire:

Formation Bio is prioritizing hiring in key hubs, primarily the New York City and Boston metro areas, with a hybrid model requiring 3 days per week in office. Applicants from the Research Triangle (NC) and San Francisco Bay Area may also be considered.

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Mixpanel is a digital analytics platform that helps teams accelerate adoption, improve retention, and ship with confidence. It has over 29,000 customers, including Workday, Pinterest, LG, and Rakuten Viber.

About the Team ==============

Mixpanel Engineering is a small, fast-moving team focused on delivering real value to customers. We build powerful AI-powered product analytics while obsessing over clarity, simplicity, and delight. Engineers here own problems end to end. You can move across the stack to ship impact without being blocked by silos or heavy process.

Product innovation drives our business, and product engineering teams own that responsibility. The Infrastructure group focuses on high-scale customer data, operating as a force multiplier for the broader company as it moves toward an AI-first product. It comprises of four teams, Data Foundation, Query Engine, Data Storage and Data Activation.

Responsibilities ===============

Lead and build AI-first product experiences from inception to global scale.

Lead an engineering team and grow its scope over time. This role is for someone who loves developing people and unlocking their potential.

Build an exceptional team by hiring well, coaching deeply, and creating a culture where engineers feel ownership and pride in what they ship.

Shape direction alongside Product, turning big ideas into focused execution and helping teams move fast without losing quality.

Set the technical bar and protect the system. Depending on level, this may mean hands-on technical leadership or empowering tech leads with clarity and trust.

Requirements ============

10+ years engineering experience; 4+ years leading engineering teams

Experience building and running infrastructure supporting real-world, customer-facing web applications.

Experience building and using AI-powered products in production environments.

Proven collaboration with product managers and designers on meaningful infrastructure.

Strong judgment in technical tradeoffs, backed by lessons learned.

Evidence of leadership through influence, alignment, and growing others.

Director candidates must have experience managing managers.

Skilled at navigating ambiguity, making tradeoffs, and bringing clarity to complex org structures

High level of ownership, accountability, and product intuition

Additional Resources ====================

Engineering Life Page

Engineering Blog

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.

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 $279,000-$377,000 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.

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.

Conclusion ========

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.

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As a Staff Product Manager, Networking, you will own the strategy and roadmap for CoreWeave's advanced networking product portfolio. On a day-to-day basis, you will translate market insights, customer needs, and technical constraints into clear product requirements and execution plans. You will work closely with cross-functional partners to launch new products and evolve existing offerings, ensuring they meet CoreWeave's high standards for performance, scalability, and reliability.

This is a highly visible role with significant influence over the future of CoreWeave's networking platform.

CoreWeave is a rapidly growing company that prioritizes innovation and disruption. We believe in investing in our people and value candidates who can bring their own diversified experiences to our teams.

If you love defining product strategy in technically complex, fast-evolving domains, are curious about emerging networking technologies, and are an expert at turning market insights and customer needs into scalable, high-impact products, then we'd love to talk.

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

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

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Your responsibilities will include creating and executing on a compelling vision to build world-class integration systems that empower both internal developers and third-party partners to build integrations with confidence. You will lead, mentor, and grow our talented team of platform engineers, while also coordinating with external consultants who build connectors using our SDK.

You will champion organizational growth by implementing scalable, reliable integration practices that accelerate product development and delight our customers. Elevate the principles of platform engineering across Lumos.

The ideal candidate will have 2+ years of proven people management experience leading engineering teams, experience managing teams focused on Integrations and/or Platform Engineering, and demonstrated experience building SDKs, developer platforms, or third-party integration ecosystems with a focus on developer experience and reliability.

Experience working at a startup, exposure to excellent engineering practices gained at a top-tier technology company, and knowledge and experience with modern integration patterns (REST, GraphQL, webhooks, event-driven architectures) are highly valued.

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Dialpad is the AI-native business communications platform. We unify calling, messaging, meetings, and contact center on a single platform - powered by AI that understands every conversation in real time.

More than 70,000 companies around the globe, including WeWork, Asana, NASDAQ, AAA Insurance, COMPASS Realty, Uber, Randstad, and Tractor Supply, rely on Dialpad to build stronger customer connections using real-time, AI-driven insights.

We’re now leading the shift to Agentic AI: intelligent agents that don’t just analyse conversations but take action by automating workflows, resolving customer issues, and accelerating revenue in real time. Our DAART initiative (Dialpad Agentic AI in Real Time) is redefining what a communications platform can do.

Visit dialpad.com to learn more.

Being a Dialer

At Dialpad, AI isn’t just a feature; it’s how our teams do their best work every day. We put powerful AI tools in every employee’s hands so they can move faster, think bigger, and achieve more.

We believe every conversation matters. And we’ve built the platform that turns those conversations into insight and action, for our customers and ourselves.

We look for people who are intensely curious and hold themselves to a high bar. Our ambition is significant, and achieving it requires a team that operates at the highest level.

We seek individuals who embody our core traits: Scrappy, Curious, Optimistic, Persistent, and Empathetic.

Your role

As a Senior Product Manager, you’ll lead the strategy, roadmap, and delivery of our AI-powered contact center solution, Dialpad Support.

From conception to launch, you’ll work closely with Engineering and Design to develop capabilities that shape how Dialpad’s customers provide services to their users (e.g., support, hotlines, etc.).

By collaborating with marketing, sales, and CX, you’ll drive adoption and engagement with your product, ultimately helping every business deliver world-class customer experiences.

Dialpad powers modern, cloud-based omnichannel customer engagement through agent experiences, supervisor tools, routing, analytics, and quality management, all infused with AI at the core.

Your work will help our customers realise measurable improvements in agent efficiency, customer satisfaction, and business scalability.

This position reports to our Product Management VP and has the opportunity to be based in our Austin Office.

What you’ll do

• Own product strategy and roadmap for the contact centre business line, defining what to build, when to do it, and why it matters.

• Develop a deep understanding of customer pain points and business opportunities across industries, segments, and geographies through research, data analysis, and direct engagement to inform and support your product decisions and guide prioritisation.

• Lead the ideation, design, specification, development, and release of solutions through the entire project lifecycle, leveraging strong working relationships with Engineering, Design, Marketing, and Sales.

• Maintain the quality of your product by identifying product and technical issues and actively developing and tracking solutions for a product line used by thousands of agents and supervisors every day.

• Measure your impact through quantitative and qualitative data, connecting your work to the business outcomes that customers care about most.

• Champion your product, both externally and internally, to generate excitement and ensure alignment, including customer briefings and roadmap discussions.

• Approach your role with a growth mindset and a willingness to roll up your sleeves and solve problems as they arise.

• Balance short-term customer asks with long-term platform scalability and architectural integrity.

• Monitor the competitive landscape to inform differentiation and positioning.

Skills you’ll bring

• 8+ years of experience building a B2B SaaS product.

• Strong understanding of contact centre workflows (agents, supervisors, routing, IVR, reporting, WFM, QA, or AI-driven capabilities).

• Proven ability to lead complex products with multiple stakeholders and dependencies.

• Experience working closely with engineering teams on technically sophisticated systems (APIs, real-time systems, data pipelines).

• Fluency in AI systems and a passion for applying this technology both within the Dialpad product and to improve your daily work.

• Data-driven mindset with the ability to define KPIs and make informed trade-offs.

• Excellent communication skills , able to influence without authority and clearly articulate decisions.

• Comfort operating in ambiguity and driving clarity in fast-evolving environments.

• Bachelor’s degree or equivalent practical experience.

Why Join Dialpad

Work at the centre of the AI transformation in business communications

Build and ship agentic AI products that are redefining how companies operate

Join a team where AI amplifies every employee’s impact

Competitive salary, comprehensive benefits, and real opportunities for growth

We believe in investing in our people. Dialpad offers competitive benefits and perks, cutting-edge AI tools, and a robust training program that help you reach your full potential.

We have designed our offices to be inclusive, offering a vibrant environment to cultivate collaboration and connection.

Our exceptional culture, repeatedly recognised as a Great Place to Work, ensures that every employee feels valued and empowered to contribute to our collective success.

Don’t meet every single requirement? If you’re excited about this role and possess the fundamental traits, drive, and strong ambition we seek, but your experience doesn’t meet every qualification, we encourage you to apply.

Dialpad is an equal-opportunity employer. We are dedicated to creating a community of inclusion and an environment free from discrimination or harassment.

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Develop Space-Based cutting-edge infrared sensors.

Design high-precision and complex space opto-mechanical systems.

Develop and perform testing to show proof-of-design and/or qualification of new designs.

Utilize first principles physics as a basis for all decisions.

Build prototypes, analyze failures, and transition successful projects into production.

Support critical hardware demonstrations with customers as needed.

Execute in-depth and rigorous opto-mechanical and electro-mechanical designs.

Required qualifications include a Bachelor's in mechanical engineering (BSME), or MS with 5 plus years of experience in design, hardware, or integrated product development and testing, and excellent leadership/communication.

Prior or current experience with spaceflight imaging applications, especially related to optical systems, is preferred.

Proficiency in various CAD tools and openness to using new software, with the ability to create high-quality engineering drawings that meet industry standards.

Strong skills in material selection, finishing, component sizing, system design, and troubleshooting.

Exceptional analytical, troubleshooting, and root-cause analysis skills.

Demonstrated hands-on fabrication skills.

Ability to integrate electronic components into mechanical designs (motors, controllers, sensors, etc.).

Experience with machining and fabrication processes, sheet metal, injection molding, and 3D printing.

Knowledge of industry standards (e.g., ASME Y14.5 GD&T) and regulatory requirements.

Ability to drive projects from concept to completion.

Excellent written and verbal skills for documentation, presentations, and collaboration.

Eligible to obtain and maintain an active U.S. Secret security clearance.

Preferred qualifications include experience with complex optical system design, analysis, testing, and implementation, experience in working with engineering teams from conceptual through detailed design phases, and experience in design of space-based mechanical structures, mechanisms, and electronics packaging along with engineering drawing development.

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This position requires deep technical expertise in API design, cloud architecture, and hands-on development experience. If you thrive on solving complex technical challenges, enjoy creating great developer ecosystems, and are passionate about creating mission-critical solutions at scale, then this role is for you.

Key Responsibilities:

• Work on our developer portal to enhance partner engagement and streamline the integration process
• Develop infrastructure to simplify the exposure of APIs and SDKs for external developers
• Build and maintain sample applications, SDKs, and technical frameworks that enable partners to implement sophisticated solutions
• Provide technical leadership during partner onboarding, guiding their engineering teams through complex integration scenarios
• Create proof-of-concept applications and reference architectures that demonstrate advanced Lattice capabilities and integration patterns
• Collaborate with engineering teams to influence the platform roadmap based on real-world implementation challenges
• Conduct technical reviews of partner architectures and provide recommendations for optimization and scalability
• Troubleshoot complex integration issues and provide hands-on technical support for mission-critical deployments
• Evangelize best practices for building resilient, secure, and performant applications on the Lattice platform

Requirements:

• 5+ years of experience as a Senior Software Engineer with customer-facing responsibilities
• Strong programming experience in multiple languages (Python, Java, Go, C++, or similar) with demonstrated ability to build production-grade applications
• Deep expertise in distributed systems architecture, including microservices, event-driven architectures, and API gateway patterns
• Experience with CI/CD pipelines, infrastructure as code, and DevOps practices
• Hands-on experience with cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes)
• Proven track record of designing and implementing complex system integrations in enterprise environments
• Experience with API technologies including REST, gRPC, GraphQL, and real-time communication protocols (WebSockets, message queues)
• Strong understanding of security patterns, authentication/authorization frameworks, and data protection in distributed systems
• Excellent technical communication skills with the ability to present complex architectural concepts to both technical and non-technical stakeholders
• Must be a U.S. Person due to required access to U.S. export-controlled information or facilities

Preferred Qualifications:

• Experience architecting solutions for defence, aerospace, or other mission-critical industries
• Background in edge computing, IoT architectures, or real-time data processing systems
• Knowledge of air-gapped environments, offline-first architectures, and high-availability system design
• Open source contributions to architectural frameworks or developer tools
• Experience mentoring engineering teams and leading technical design reviews
• Advanced degree in Computer Science, Engineering, or related technical field

Salary Range: $191,000-$253,000 USD

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As an Engineering Manager, GTM Engineering, you will lead the engineering team responsible for Brex's GTM Engineering surfaces, enabling our growth engine across Marketing, Sales, and self-serve funnels. This role focuses on building and optimizing our marketing website (Brex.com), GTM applications, top-of-funnel experiences, and AI-powered systems that increase efficiency, reduce CAC, and improve sales and marketing effectiveness.

Responsibilities:

• Lead and mentor a high-performing team of product engineers, fostering their career development through coaching, feedback, and hands-on guidance.
• Drive the architectural vision, technical roadmap, and project execution for Brex.com, GTM applications, and top-of-funnel growth systems, ensuring scalability, performance, and security.
• Champion and integrate AI-native solutions within our Marketing, Sales, and Operations workflows to drive efficiency and unlock new capabilities.
• Operate at all levels, guiding your team through complex technical challenges while staying close to the code and contributing to design.
• Partner with stakeholders across Marketing, Sales, and Growth, acting as a strategic advisor to translate business needs into a prioritized engineering backlog while being jointly accountable to business metrics such as CAC, payback, and conversion rates.
• Align ad-hoc requests to broader business strategy, ensuring the team is focused on the most impactful work and confidently declining projects that are not strategically aligned.
• Own the operational excellence of your team, managing sprint capacity, removing blockers, and ensuring high-velocity, high-quality delivery.
• Establish and enforce engineering best practices for GTM applications and growth surfaces, including CI/CD, source control, code quality, observability, and system governance.

Requirements:

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• 6+ years of software engineering experience with strong technical depth.
• 3+ years of experience managing or leading engineers in a high-growth environment.
• Experience architecting and building growth surfaces or marketing engineering systems.
• Strong frontend, data, and backend technical fundamentals, with experience in modern frameworks.
• Experience with GTM systems, marketing automation tools, experimentation platforms, or analytics instrumentation.
• Excellent interpersonal and relationship-building skills with the ability to manage and communicate effectively with XFN partners in Sales and Marketing at all levels.
• A growth-hacking, AI-native mindset with a proven ability to design and execute GTM strategies that drive meaningful revenue impact.

Bonus points:

• Experience managing remote or distributed engineering teams.
• Experience with B2B growth.
• You have started your own technology venture or were a foundational engineering member of an early-stage start-up.

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Responsibilities:

• Hire, lead, and manage a team of talented engineers, providing mentorship, guidance, and support to ensure their success.
• Collaborate with cross-functional stakeholders, including product managers and designers, to understand customer needs and translate them into technical solutions.
• Define the technical vision and roadmap for the suite of products managed by the team, aligning it with business objectives and industry best practices.
• Drive the execution of projects, overseeing the entire development lifecycle from planning to delivery, while maintaining high standards of quality and timely completion.
• Foster a collaborative and inclusive work environment, promoting innovation, knowledge sharing, and continuous improvement within the team.
• Stay up-to-date with emerging technologies, industry trends, and advancements in AI and customer experience practices to identify opportunities for improvement and innovation.
• Communicate effectively with stakeholders, providing regular updates on project status, progress, and any potential risks or challenges.

Minimum requirements:

• 3+ years of experience managing teams that build and operate full-stack web applications at scale, and 10+ years of overall industry experience.
• A passion for supporting both external users and internal customers.
• Successfully recruited and built great teams.
• The ability to thrive with a high level of autonomy and responsibility.
• The desire to encourage a healthy, inclusive work environment that's both supportive and challenging.
• Clear and persuasive writing and in-person communication.

Preferred qualifications:

• Experience designing, deploying, and owning Agentic LLM solutions (e.g., multi-step orchestrators, tool use/function calling) specifically for complex customer support or internal workflow automation.
• You are comfortable planning in quarters, and can set a vision for several years.
• You are excited about collaborating with teammates across Stripe's organisation to provide a wonderful support experience to users.
• You are comfortable working with geographically distributed teams.
• Experience managing multiple engineering teams.

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This role sits within the Integrity & Authenticity (I&A) team, where you will function both as a policy owner and work closely with threat investigative and enforcement teams.

Key responsibilities include drafting, maintaining, and iterating on Fraud & Scams policies; conducting regular structured policy reviews; developing detailed threat models for fraud and scam vectors; and staying current on the fraud and scam landscape.

You will also design and architect automated enforcement systems and human review workflows that scale effectively while maintaining high precision and recall.

Additionally, you will serve as the primary policy point of contact for ML and Engineering teams developing fraud detection classifiers, working to translate policy intent into technical artifacts and training signals.

You may be a good fit if you have experience working as a Trust & Safety professional with a focused background in fraud, scams, or financial crime, particularly in a tech platform or AI context.

Preferred qualifications include experience at a major technology platform, financial institution, or fraud intelligence firm in a policy, operations, or investigative capacity, familiarity with the generative AI risk landscape, and background in threat intelligence, financial crimes compliance (AML/KYC), or law enforcement focused on cyber-enabled fraud.

The annual compensation range for this role is $245,000-$285,000 USD.

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About the Team: Anduril employs a variety of networks and networking infrastructures to support global operations. Information Systems Security Managers are in charge of directly supporting business lines that wish to deploy Anduril products in classified environments.

About the Job: As an Information Systems Security Manager, you will be responsible for providing expertise in documenting security controls to reduce the administrative cost of deploying Anduril's products into operational environments. You will partner with program and security teams to coordinate security artifacts in support of classified deployments. You will apply technology standards from the commercial space in classified, air-gapped environments.

Responsibilities:

• Provide expertise in documenting security controls to reduce the administrative cost of deploying Anduril's products into operational environments.
• Partner with program and security teams to coordinate security artifacts in support of classified deployments.
• Apply technology standards from the commercial space in classified, air-gapped environments.
• Collaborate with Information System Owners to understand key stakeholders' needs and provide complex technical solutions to meet contractual obligations.
• Tailor NIST 800-53 controls to determine applicability to the network environment and oversee the implementation of Continuous Monitoring for respective programs.
• Define, document, and conduct security scanning on Anduril's products and accredited information systems.
• Scope, shape, and orchestrate the development of features to ensure products meet compliance goals.

Required Qualifications:

• Design, develop, and implement secure systems and networks per NIST RMF, JSIG, and other industry standards.
• Integrate security best practices into Anduril's Software Development Lifecycle (SDLC) and infrastructure design, collaborating with internal IT and engineering teams.
• Conduct security risk assessments, vulnerability assessments, and audits to identify and mitigate threats.
• Recommend and implement security solutions, such as IDS/IPS, encryption protocols, and secure communications technologies.
• Develop and enforce access controls, encryption strategies, and other technical measures to safeguard systems.
• Maintain and update System Security Plans (SSPs), POA&Ms, and other accreditation documentation.

Preferred Qualifications:

• Experience with application security paradigms such as Static Application Security Testing (SAST), Dynamic Application Security Testing (DAST), and Software Composition Analysis (SCA).
• Proven experience in securing micro-services architecture, including implementing best practices and compliance with DoD cybersecurity standards.
• Experience with cybersecurity in unmanned and ground control system within DoD environments.
• Experience with containerization and kubernetes along with the best practices for securing them.
• Experience with Cloud Service Providers (CSPs) and the various tools they offer for implementing security and compliance best practices.

Salary: The salary range for this role is $146,000-$194,000 USD.

Benefits: Anduril offers top-tier benefits for full-time employees, including comprehensive medical, dental, and vision plans at little to no cost to you. Anduril also offers income protection, generous time off, family planning and parenting support, mental health resources, professional development, commuter benefits, relocation assistance, and a retirement savings plan.

Protecting Yourself from Recruitment Scams: Anduril is committed to maintaining the integrity of our Talent acquisition process and the security of our candidates. We've observed a rise in sophisticated phishing and fraudulent schemes where individuals impersonate Anduril representatives, luring job seekers with false interviews or job offers. These scammers often attempt to extract payment or sensitive personal information.

To ensure your safety and help you navigate your job search with confidence, please keep the following critical points in mind:

• No Financial Requests: Anduril will never solicit payment or demand personal financial details (such as banking information, credit card numbers, or social security numbers) at any stage of our hiring process. Our legitimate recruitment is entirely free for candidates.
• Please always verify communications:
• Direct from Anduril: If you receive an email from one of our recruiters, it will only come from an @anduril.com address.
• Via Agency Partner: If contacted by a recruiting agency for an Anduril role, their email will clearly identify their agency. If you suspect any suspicious activity, please verify the agency's authenticity by reaching out to contact@anduril.com.
• Exercise Caution with Unsolicited Outreach: If you receive any communication that appears suspicious, contains grammatical errors, or makes unusual requests, do not respond or engage with the sender.

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Responsibilities:

• Develop and execute a product strategy focused on increasing revenue growth across our suite of products
• Drive monetization efforts spanning the likes of pricing & packaging, free-to-paid conversion, and consumption-based billing
• Analyze product metrics and user feedback to identify monetization opportunities and optimize performance
• Collaborate with engineering, design, and marketing teams to deliver high-impact growth initiatives
• Conduct user research to understand customer needs and pain points
• Define and track key performance indicators (KPIs) for growth initiatives
• Balance rapid iteration with our commitment to AI safety and ethics

Qualifications:

• 6+ years of product management experience, majority in growth focused roles
• Experience working on growth for mass-scale subscription businesses
• Direct experience owning monetization – pricing, packaging, paid conversion, or upgrade funnels
• Strong analytical skills, and experience with A/B testing and funnel optimization
• Excellent communication and stakeholder management skills
• Ability to thrive in a fast-paced, ambiguous environment
• Passion for AI technology and its potential impact on society
• Technical background or ability to work effectively with engineering teams
• Founder experience is a plus

Logistics:

• Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience
• Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience
• Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position
• Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
• Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

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Join the team as our next Staff Software Engineer in the Enterprise AI Engineering team. Twilio is undergoing a major business transformation powered by Enterprise AI, supported by a dedicated engineering team building the foundations for a unified, secure, and scalable operating system across GTM functions (Sales, Support, Operations, etc.) as well as Internal non-GTM functions (Finance, HR, Legal, etc.).

In this role, you'll co-lead the design and development of our software infrastructure, driving technical vision and strategy to ensure scalability, reliability, and performance. You will oversee the integration of complex React-based front-ends with backend modular services, ensuring a seamless UI experience.

As a Staff Software Engineer within Enterprise AI, you are the technical heartbeat of our products. Your role is to bridge the gap between bleeding-edge AI research and robust, full-stack production systems.

Responsibilities:

• Co-lead the design and development of our software infrastructure, driving technical vision and strategy to ensure scalability, reliability, and performance.
• Drive the development of sophisticated, stateful web applications.
• Serve as developer leader in distributed systems, data technologies, with strong software engineering skills.
• Drive technical innovation and research to stay at the forefront of emerging data technologies and best practices.
• Mentor and elevate a team of high-performing engineers.
• Collaborate closely with cross-functional teams to understand business requirements and translate them into scalable and efficient technical solutions.

Qualifications:

• Bachelor's degree in Computer Science, Engineering, or a related field.
• 8+ years of experience in data engineering, software development, or a related field, with at least 3 years in a technical leadership role.
• Experience with full-stack development building web apps, using modern programming languages such as JavaScript, Typescript or React.
• Proven track record of architecting and delivering complex data projects at scale, with a deep understanding of data infrastructure and distributed systems.
• Strong understanding of data modeling, data warehousing, and ETL processes, with experience designing and optimizing data pipelines.
• Excellent communication and collaboration skills, with the ability to influence technical decisions and drive alignment across teams.
• Strong leadership skills, with a track record of mentoring and developing high-performing engineering teams.
• Demonstrated ability to thrive in a fast-paced, dynamic environment and deliver results under tight timelines.

Desired:

• Experience developing production-quality LLM applications and using modern agent frameworks such as Langchain, Langgraph, Llamaindex, LangSmith, LangFuse, CrewAI, and/or others is a plus.
• Expertise in big data technologies such as Hadoop, Spark, Kafka, and cloud-based data services (AWS/GCP/Azure).

Travel:

This role will be remote and based in Colombia. Travel may be required to participate in project or team in-person meetings.

What We Offer:

Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location.

Twilio thinks big. Do you? We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values , something we call Twilio Magic. Additionally, we empower employees to build positive change in their communities by supporting their volunteering and donation efforts.

So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now!

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Responsibilities:

• Lead our privacy analysis of frontier models, carefully auditing the use of data and ensuring safety throughout the process
• Develop privacy-first training algorithms and techniques
• Develop evaluation and auditing techniques to measure the privacy of training algorithms
• Advocate on behalf of our users to ensure responsible handling of all data

You may be a good fit if you have:

• Experience working on privacy-preserving machine learning
• A track record of shipping products and features inside a fast-moving environment
• Strong coding skills in Python and familiarity with ML frameworks like PyTorch or JAX.
• Deep familiarity with large language models, how they work, and how they are trained
• Have experience working with privacy-preserving techniques (e.g., differential privacy and how it is different from k-anonymity, l-diversity, and t-closeness)
• Experience supporting fast-paced startup engineering teams
• Demonstrated success in bringing clarity and ownership to ambiguous technical problems
• Proven ability to lead cross-functional security initiatives and navigate complex organizational dynamics

Strong candidates may also:

• Have published papers on the topic of privacy-preserving ML at top academic venues
• Prior experience training large language models (e.g., collecting training datasets, pre-training models, post-training models via fine-tuning and RL, running evaluations on trained models)
• Prior experience developing tooling to support privacy-preserving ML (e.g., differential privacy in TF-Privacy or Opacus)

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The Difference You Will Make: You will play a critical role in ensuring the success of product planning processes. You will own the relationship between the Platform+ Experience team and the Community Support Planning team. You will own the product planning process for the Platform + Experience. You will ensure the planning process runs smoothly, own communications with cross-functional stakeholders, and proactively identify opportunities to add value while addressing potential challenges, always striving to deliver measurable impact for our customers and the business.

A Typical Day:

• Plan agenda and own logistics for major product planning meetings and gatherings, and drive follow up actions to completion
• Communicate clear project plans including timelines, deliverables, and big rocks to the Platform Team
• Project Manage planning processes ensuring PRD completion and hand-off to engineering
• Provide transparent, proactive, and timely updates to requesters, leadership, and other customers of planning
• Work cross functionally with Engineering and TPM teams to coordinate engineering sizing
• Regularly report on the status of the planning process (KPIs) through a monthly executive summary
• Calculate and maintain capacity estimates for the platform + experience team and CS Labs team
• Allot work to the CS Labs team in alignment with the product roadmap and priorities
• Maintain source of truth trackers and documentation

Your Expertise:

• 7+ years of experience in strategic planning, program management, or product operations roles with a proven track record of success
• Proven experience leading cross-functional product planning or portfolio management processes with executive visibility
• Exceptional communication skills, verbal, written and presentation, to all levels of an organization
• Strong problem-solving and analytical skills
• Understanding of product management processes, experience working with engineering teams
• Proficiency in virtual collaboration and project management tools like Asana, Jira, and Airtable
• Strategic thinking and organizational skills, with the ability to work collaboratively and cross-functionally across teams
• Hands-on, working knowledge of software product development life-cycle and methodologies. Specific experience with Agile is desired
• Naturally accountable and responsible: Self-starter, self-motivated, focused, and self-sufficient
• Strong strategic judgment: an ability to interpret organizational goals and translate them into planning activities
• Ability to manage multiple, competing priorities simultaneously, in a fast-paced environment
• Comfort working with both big-picture strategy and tactical execution
• Champion for continuous improvement
• Exceptional listening skills and strong attention to detail
• Travel requirements: Up to 10% of time, based on project requirements

Your Location: This position is US - Remote Eligible. The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager. While the position is Remote Eligible, you must live in a state where Airbnb, Inc. has a registered entity.

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You will build and lead a team of Partner Solutions Architects, establish processes and best practices for partner-led pre-sales engagements, and represent Anthropic as the technical lead on its most important partnerships. In collaboration with Sales, Partnerships, Product, and Engineering, you will help partners incorporate leading-edge AI into their practices, accelerate indirect revenue, and execute long-term GTM strategy while maintaining our best-in-class safety standards.

Responsibilities:

Team Leadership & Development: Hire, manage, and mentor a team of Partner Solutions Architects. Set goals, run reviews, and coach each team member toward high productivity and career growth.

Strategic Technical Partnership: Act as the senior technical thought partner to Anthropic's GTM partnerships team. Co-build partner strategy with aligned GTM leadership, drive key programs, and align cross-functional stakeholders (Sales, Product, Engineering) behind partner outcomes.

Partner Enablement & Ecosystem: Embed your team with GSI and cloud partner technical teams to enable their AI practices, troubleshoot, and evangelize Anthropic in their developer communities. Represent Anthropic at partner events (GSI workshops, AWS/GCP summits, hackathons) and contribute technical content and thought leadership.

Joint Solution Development: Lead partners in identifying high-value, industry-specific GenAI applications. Develop joint solutions and codify reference architectures and best practices to accelerate time to deployment.

Customer Deal Support: Own the technical portion of partner-led pre-sales engagements. Intervene directly on strategic deals where partners are the primary delivery vehicle, providing deep solution architecture guidance.

Product Feedback: Gather and validate feedback on Anthropic's products from partner deployments and deliver it to Product and Engineering to inform roadmap and partner strategy.

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Responsibilities:

• Build, lead, and scale a GovTech sales team, including hiring top talent, setting clear performance expectations, and providing coaching and development

• Develop and execute go-to-market strategies for selling directly to Systems Integrators, DIB primes, and GovTech ISVs,including market segmentation, competitive positioning, and revenue forecasting

• Own GovTech revenue targets and ensure team performance against quotas, while providing visibility into pipeline health and deal progression across the partner segment

• Establish and cultivate C-suite and senior executive relationships at major SIs and DIBs, serving as Anthropic's senior point of contact for strategic partner engagement

• Win new business by helping SIs with prime contracts integrate AI into their technology stacks and consulting practices to differentiate their offerings, accelerate delivery, and integrate into government customer workloads.

• Establish and refine sales processes, methodologies, and playbooks specific to GovTech segment.

• Build and manage strategic relationships with cloud service providers (AWS, GCP) to align technical and commercial aspects of partner deals and create scalable go-to-market motions

• Synthesise market feedback and customer insights to inform product roadmap and competitive strategy, working closely with product and marketing teams

• Partner with legal, compliance, and delivery teams to ensure successful contract execution and customer satisfaction across the GovTech ecosystem

• Implement metrics, reporting, and performance management systems to drive team accountability and continuous improvement across the partner sales organisation

• Represent Anthropic at industry events, partner summits, and with key stakeholders, establishing our brand as the trusted AI partner for GovTechs

You may be a good fit if you have:

• 10+ years of enterprise sales experience with 4+ years managing sales teams selling directly to SIs, DIBs, and GovTech ISVs, with a proven track record of scaling revenue and building high-performing organisations

• Demonstrated ability to build, maintain, and leverage C-suite and senior executive relationships at major SIs, DIB primes, and GovTech companies,with an existing network of contacts across the federal partner ecosystem strongly preferred

• Deep understanding of SI and DIB business models, buying processes, technology evaluation criteria, and how partners operate within federal procurement frameworks

• Demonstrated ability to hire, develop, and retain top sales talent while creating a culture of performance and accountability

• Experience developing and executing go-to-market strategies for emerging technologies sold to and through public sector partners

• Extensive experience with federal contracting vehicles, procurement mechanisms, and compliance requirements including FAR/DFAR, FedRAMP, and agency-specific security standards

• Strong track record of consistently exceeding team revenue targets and building predictable, scalable sales motions in a partner-driven model

• Proven ability to build and manage strategic channel partnerships and ecosystem relationships, including coordination with cloud providers in complex deal scenarios

• Strong technical acumen with the ability to engage credibly with partners' engineering teams and navigate complex technical sales conversations

• Security clearances preferred

• Excellent communication and relationship-building skills across all levels, from technical teams to C-suite and senior executive leadership at partner organisations

• Experience implementing sales methodologies, CRM systems, and performance management processes

• A passion for safe and ethical AI development, with the ability to articulate its value and importance in government contexts to build trust with federal partner stakeholders

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Your primary focus will be on leading a multidisciplinary team responsible for the full lifecycle of payment integrations, from architecture and development to deployment and production stability. You will mentor engineers at all levels, drive technical decision-making, and ensure the team delivers high-quality solutions that meet business needs.

You will also champion an AI-first engineering culture, establishing standards for AI-assisted development, code generation, and automated testing. Additionally, you will collaborate closely with Product, Compliance, and Business stakeholders to deliver against a fast-moving roadmap in an agile environment.

The ideal candidate will have a solid hands-on backend engineering background, with proficiency in Golang or similar languages. They will also have strong understanding of microservices, event-driven architectures, APIs, and integration patterns, as well as experience with SQL and relational databases.

Key responsibilities:

• Lead and develop a high-performing integrations engineering team, fostering a culture of technical excellence, ownership, and continuous improvement.

• Mentor engineers at all levels through coaching, regular feedback, and clear expectations , supporting their growth as both engineers and professionals.

• Own the full technical lifecycle of integrations with PSPs, acquirers, and gateways: from design and development to deployment and production monitoring.

• Drive hands-on technical contribution through architecture reviews, code reviews, and complex troubleshooting , setting the bar for quality and engineering craft.

• Define and enforce best practices across coding standards, testing, observability, and documentation.

• Guide architectural decisions for low-latency, high-availability backend systems and microservices operating at global scale.

• Champion an AI-first engineering culture, establishing standards for AI-assisted development, code generation, and automated testing , ensuring the team treats these tools as a default, not an afterthought.

• Collaborate closely with Product, Compliance, and Business stakeholders to deliver against a fast-moving roadmap in an agile environment.

• Ensure secure software development practices are embedded across the team, including OWASP standards, data privacy, and compliance requirements.

• Drive the evolution of APIs and integration frameworks that scale across countries and payment providers.

• Bring ideas to solve problems: any idea is better than none.

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Key responsibilities include:

• Author and maintain autonomous sea trial test plans covering pier-side and underway verification of autonomy behaviours, machinery control, navigation control, and integrated voyage execution.
• Build test matrices mapping requirements to objective pass/fail criteria, safety controls, data capture needs, and contingency actions.
• Develop event-ready documentation packages including test cards, run sheets, communications plans, safety briefs, and go/no-go checklists.
• Serve as on-scene test lead for autonomy trials, directing real-time execution and ensuring safety-of-test.
• Lead verification of system functionality during operational events to confirm performance against acceptance criteria.
• Coordinate test readiness across vessel condition, maintenance status, and trial prerequisites.
• Establish required logs, timestamps, system states, and annotations to ensure complete data capture.
• Track issues using structured defect workflows including reproducibility steps, severity, and corrective actions.
• Coordinate prioritization of fixes and verify corrections through structured retest events.
• Produce daily SITREPs and formal trial documentation including test reports, discrepancy logs, and corrective action summaries.

The ideal candidate will have 7+ years of experience in test/validation, trials, port engineering, or operational readiness roles for complex systems, with demonstrated experience leading pier-side and underway test execution. Strong stakeholder management and cross-functional communication skills are essential.

We offer a competitive salary, comprehensive health insurance plans, generous PTO and holidays, paid parental leave, and a 401(k) plan. Additionally, we provide stock options, equity options, and basic life insurance and short- and long-term disability coverage.

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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 Operations team at Plaid, we keep Plaid's engineering organization and its partners running smoothly, spanning multiple operational focus areas: AI Ops, Eng Ops, FinOps, and Network Enablement (NEA) Ops.

You will be the operational owner for Plaid's integrations and migrations, coordinating across engineering, product, and partner teams to drive execution from planning through launch. You will also help scale Charged Access operations as the program grows and serve as the connective tissue between our NEA team and Support, ensuring priorities are aligned and joint initiatives stay on track.

Responsibilities

• Own end-to-end operational governance for new bank integrations, integration upgrades, and PD3 migrations (~10–20 active at any time).
• Build and maintain master timelines, institution status trackers, risk/decision logs, and launch readiness checklists.
• Drive structured risk, issue, and escalation management across integrations and migrations.
• Provide regular, high-signal status updates to leadership.
• Coordinate milestones, dependencies, and handoffs across Access, PD3/ProFound, DPR, and Data Access.
• Help lead Charged Access operational coordination including project tracking, risk logs, stakeholder follow-ups as the program scales.
• Own the NEA–Support operational relationship: priority alignment, joint initiative tracking, and communication cadence.
• Run retros after complex launches and fold learnings back into processes.
• Design and govern repeatable processes for how integrations and migrations are scoped, planned, executed, and launched.

Requirements

• 5+ years of experience in program management, technical operations, or a similar cross-functional operations role.
• Proven track record running complex, multi-stakeholder programs with tight timelines.
• Strong organizational skills and experience building program artifacts (timelines, trackers, risk logs).
• Excellent written and verbal communication; ability to translate technical details into clear narratives for different audiences.
• Comfort with ambiguity and high-pressure environments.
• Experience working closely with engineering teams.
• Nice to have: technical background or experience with bank integrations, APIs, or financial infrastructure; experience with migration programs; familiarity with support operations partnerships.

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. We recognize that strong qualifications can come from both prior work experiences and lived experiences. We encourage you to apply to a role even if your experience doesn't fully match the job description.

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You'll own the delivery, quality, and operational excellence of critical systems while developing and mentoring a high-performing engineering team. This is an opportunity to shape engineering strategy, influence product direction, and build a team that operates at the intersection of cutting-edge crypto technology and the rigorous standards required by regulated financial services.

Technical Skills:

• Exhibit broad expertise in infrastructure systems, distributed computing, and platform architecture,serving as an internal reference and recognised leader in your domain
• Use technical knowledge to contribute to Anchorage's objectives, achieving goals in creative and effective ways while ensuring the team upholds a high technical bar
• Guide the team on engineering best practices, system design, and quality standards for secure, scalable infrastructure in a regulated environment

Complexity and Impact of Work:

• Lead and function effectively in the face of uncertainty and ambiguity, working on complex issues where problems are not clearly defined
• Translate business strategy into functional and actionable engineering plans; direct planning, staffing, budgeting, and execution of high-priority initiatives
• Make final decisions on administrative and operational matters with a long-term view, ensuring budgets and timelines align with both Anchorage and Engineering objectives
• Be accountable for the team's delivery, quality, and operational excellence,including product and platform features from design through production

Organizational Knowledge:

• Maintain deep knowledge of Anchorage's strategy and work actively with cross-functional groups to identify new ways to deliver on it
• Participate with other senior managers to establish strategic plans and objectives, promoting a shared understanding of Anchorage's needs
• Engage with peers to develop methods, techniques, and evaluation criteria for projects and people that have company-wide impact

Communication and Influence:

• Communicate complex issues clearly and credibly across a wide range of audiences; articulate a clear strategy for the team with high-quality output
• Focus on providing thoughtful leadership on broader organisation programs and projects, understanding different business impacts
• Build effective relationships with stakeholders including clients, cross-functional partners, and external partners; create formal networks and coordinate across groups
• Credit individual contributions and acknowledge team accomplishments

Team Leadership:

• Take independent responsibility for all aspects of people management with a proven track record of successfully leading people, teams, and projects in different contexts
• Provide clear directions and priorities; work with team members to define what success looks like so the positive impact for clients is clear
• Ensure knowledge is shared amongst the team, avoiding single points of failure
• Plan and execute changes to team staffing and succession planning in service of company goals, including identifying gaps, defining roles, and managing appropriate team sizes
• Clarify ownership and decision-making for the team; delegate tactical decisions while maintaining responsibility as a tiebreaker

You may be a fit for this role if you have:

• 12+ years of experience in software engineering, with significant experience managing engineering teams
• Proven track record of building and leading high-performing teams through multiple product cycles and organisational contexts
• Deep technical expertise in distributed systems, cloud infrastructure, and platform engineering (we use GCP, but experience with other cloud providers is sufficient)
• Experience owning delivery, quality, and operational excellence for production systems in a regulated or financial services environment
• Strong ability to translate ambiguous business requirements into clear engineering plans and priorities
• Experience with budgeting, staffing, and resource planning for engineering teams
• A demonstrated approach to developing talent,coaching, mentoring, and growing engineers at all levels
• Excellent communication skills with the ability to influence senior leadership and collaborate effectively across functions

Although not a requirement, bonus points if:

• Experience building ledger systems, virtual accounting layers, custody infrastructure, or similar financial technology platforms
• Background managing teams in fintech, banking-as-a-service, or other regulated financial environments
• Experience with on-call rotations, incident management, and driving operational excellence
• Familiarity with regulatory requirements for financial institutions (SOC 2, bank examinations, etc.)
• Background in the cryptocurrency or digital assets industry
• Experience managing other managers or leading a group of teams
• You were emotionally moved by the soundtrack to Hamilton, which chronicles the founding of a new financial system. :)

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We're a team of scientists, engineers, and machine learning experts working together to advance the state of the art in artificial intelligence. Our mission is to close the 'Agentic Launch Gap'; the critical window where novel AI capabilities outpace traditional security reviews.

As the Security Lead for the Agentic Red Team, you will direct a specialized unit of AI Researchers and Offensive Security Engineers focused on adversarial AI and agentic exploitation. Operating as a technical player-coach, you will architect complex, multi-turn attack scenarios while managing cross-functional partnerships with Product Area leads and Google security to influence launch criteria.

Key Responsibilities:

• Direct Agile Offensive Security: Lead a specialized red team focused on rapid, high-impact engagements targeting production-level AI models and systems.
• Perform Complex AI Exploitation: Develop and carry out advanced attack sequences that focus on vulnerabilities unique to GenAI, such as escalating privileges through tool usage, poisoning data, and executing multi-turn prompt injections.
• Design Automated Validation Systems: Collaborate with Google teams to engineer 'Auto RedTeaming' solutions that transform manual vulnerability discoveries into robust, automated regression testing frameworks.
• Engineer Technical Countermeasures: Create innovative defense-in-depth frameworks and control systems to mitigate agentic logic errors and non-deterministic model behaviors.
• Manage Threat Intelligence Assets: Develop and oversee an evolving inventory of exploit primitives and agent-specific attack patterns used to establish release criteria and evaluate model security benchmarks.
• Establish Security Scope: Collaborate with Google for conventional infrastructure protection, allowing the team to concentrate solely on agentic logic, model inference, and AI-centric exploits.

About You:

• Bachelor's degree in Computer Science, Information Security, or equivalent practical experience.
• Experience in Red Teaming, Offensive Security, or Adversarial Machine Learning.
• Deep technical understanding of LLM architectures and agentic workflows (e.g., chain-of-thought reasoning, tool usage).
• Proven ability to work in a consulting capacity with product teams, driving security improvements in fast-paced release cycles.
• Experience managing or technically leading small, high-performance engineering teams.

In addition, the following would be an advantage:

• Hands-on experience developing exploits for GenAI models (e.g., prompt injection, adversarial examples, training data extraction).
• Familiarity with AI safety benchmarks and evaluation frameworks.
• Experience writing code (Python, Go, or C++) to build automated security tools or fuzzers.
• Ability to communicate complex probabilistic risks to executive stakeholders and engineering teams effectively.

The US base salary range for this full-time position is between $248,000 - $349,000 + bonus + equity + benefits.

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We are seeking a Technical Program Manager to help define, track, and drive end-to-end solutions covering the entire silicon and product life cycle for Automotive and DataCenter platforms.

For two decades, NVIDIA has pioneered visual computing, the art and science of computer graphics. With our invention of the GPU, we also set the stage for advances in robotics, computer vision, and artificial intelligence. Today NVIDIA is building a platform and solutions for Robotics, Autonomous Machines, and DataCenter making it a phenomenal time to join our company and this team.

What you’ll be doing:

• Lead and track all aspects of planning and implementation for Tegra Diagnostic software, including coordinating the Tegra Diagnostic Plan of Recorder for Silicon and Platform bring-up through productization.

• Partner with multi-functional engineering leads to drive technical, logistical activities, handle complex project schedules, remove roadblocks, and ensure on-time delivery of hardware and system achievements.

• Ensure teams deliver all required collaterals for the SW Product Lifecycle process

• Act as the focal point for program execution by scheduling and leading status meetings and presenting progress, risks, and dependencies across global stakeholders

• Work Partner closely with product teams to define and prioritize platform and silicon bring-up requirements.

What we need to see:

• Bachelors or master’s degree in computer/Electronics engineering or related field (or equivalent experience)

• 4+ overall years of proven experience in both software project and program management or related roles

• Deep understanding of the SW development life cycle

• Ability to work effectively with multi-functional, globally distributed engineering teams

• Experience gathering and analyzing data to support management decision-making and risk assessment.

Ways to stand out from the crowd:

• Proven track record in software development

• Experience with Pre-Silicon/Post-Silicon bring-up of SoC or Platform

• Understanding of silicon and platform validation and characterization process, SOC micro-architecture, platform architecture

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until March 13, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

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Kody is scaling rapidly, and we're looking for an exceptional VP of Engineering to lead our technical organisation through the next phase of growth. As a key member of the executive team, you'll play a pivotal role in shaping our engineering strategy, culture, and execution. This is a role for someone who thrives in a high velocity, global and purpose driven environment.

As VP of Engineering, you will be responsible for building and leading a high-performing engineering organisation aligned with Kody's values and mission. You'll define the technical vision, guide architectural decisions and ensure the delivery of scalable, secure and reliable platforms and products. You'll work cross-functionally with Product, Design, and Operations to bring our roadmap to life while fostering a strong engineering culture rooted in technical excellence and continuous improvement.

What You'll Be Doing:

• Lead the recruitment, development, and retention of a world-class engineering team.
• Setting and executing the engineering vision and technical direction in partnership with executive and product leadership.
• Defining and delivering engineering strategy that enables scalable and secure growth of Kody's platform and services.
• Drive engineering execution to ensure timely, high-quality delivery across all teams.
• Establish and monitor KPIs to track performance, code quality, system stability and deployment efficiency.
• Promote a culture of feedback, mentorship and career development through structured reviews and ongoing coaching.
• Collaborate closely with Product, Design, and Operations to align on priorities and roadmap planning.
• Champion modern development practices including CI/CD, testing, observability, and agile methodologies.
• Oversee architectural planning and ensure sound technical decision-making across backend, frontend, and infrastructure.
• Manage engineering budgets, headcount planning and resource allocation in alignment with company goals.
• Advocate for engineering needs and priorities at the leadership level, balancing business goals and technical feasibility.
• Maintain and evolve onboarding processes, documentation, and workflows to support rapid team scaling.
• Embed data security, privacy, and regulatory compliance into the Engineering culture.

Benefits

• Access to competitive Health Insurance (Medical and Dental)
• Access to Learning and Development
• Flexible time off and generous leave policy
• Participation in company equity or incentive plans
• A collaborative, inclusive culture where your work is valued and recognised

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The Data & Research Management group is responsible for delivering accurate, timely and complete data to enhance the value of Preqin's award-winning service. The trust in our underlying content enables our clients to make key investment decisions.

Besides simply collecting content, Data & Research Management collaborates extensively with internal and external stakeholders to improve our data offering leveraging technology and subject matter expertise. The team understands the end-to-end lifecycle of data and establishes business intelligence reports seeking operational excellence

Role Overview

The Director – Director, Private Markets Data Acquisition & Partnerships, EMEA role is an outstanding leadership opportunity based in our vibrant London office. This position is integral to Preqin, a part of BlackRock's data leadership team and is charged with steering the strategic direction of our data initiatives. By working closely with the Data, Product, and Technology teams, you will ensure our data exceeds client expectations in both scope and quality.

You will apply your market knowledge, relationship building skills, and data expertise to drive our private market data expansion initiatives in the EMEA region. This involves market exploration, collaboration, and innovative process execution. Your deep understanding of the private markets ecosystem and market trends will significantly contribute to our organisational strategy, ensuring the continued growth and improvement of Preqin, a part of BlackRock's data offerings.

Responsibilities

• Drive the strategic direction of Preqin, a part of BlackRock's data coverage, ensuring it is world-class and meets or exceeds client expectations.

• Act as a Subject Matter Expert (SME), working with internal collaborators to improve and develop current and future data offerings.

• Apply extensive network in the Private markets space to deepen relationships and inform our data expansion strategy.

• Lead a team of VPs and Senior Associates, operating in a player-coach capacity—setting strategy while remaining hands-on in executing initiatives to expand our private markets data coverage.

• Lead strategic data initiatives, including market mapping and white space analysis, to determine future coverage areas.

• Explore strategic data opportunities through partnerships and projects.

• Partner with Data Management and Data Platform teams to lead data sourcing, acquisition, extraction, and ingestion strategies.

• Assist external collaborators with dataset expertise and domain knowledge, including troubleshooting and representing our data to customers.

• Provide mentorship and training to internal data collection teams to improve the value and impact of data.

• Act as a brand ambassador, upholding and promoting Preqin, a part of BlackRock’s values and policies.

Key Requirements

• Minimum of 10 years of relevant experience in data/financial data services/alternative assets.

• Proven ability to acquire domain knowledge relevant to data and financial markets.

• Strong understanding of data lifecycle management from acquisition to publishing.

• Demonstrated success in performance management and building high-performing teams.

• Extensive people and project management experience, including remote team management.

• Hands-on, motivational, and entrepreneurial leader with professional competence.

• Strategic thinker capable of developing and improving data offerings.

• Experience in introducing change management through technology and processes.

• Strong time management and prioritisation skills.

• Excellent communication skills and experience working with senior executives.

• Bachelor’s Degree or equivalent experience required.

• Proficiency in business intelligence systems such as Power BI or Metabase.

Desired Experience

• Experience leading high-performing teams.

• Prior experience in the alternative assets industry or financial services data management.

• Skills in organisational design and central initiatives with senior management.

• Experience working with engineering teams to improve workflows.

• Experience working across cultures and locations

• Change management experience supporting global transitions.

• Project Management Certification or technical knowledge (SQL/Python) is a plus.

• Familiarity with workflow tools such as Alteryx, Salesforce, Outreach, Jira, Office 365.

Our benefits

To help you stay energised, engaged and inspired, we offer a wide range of employee benefits including: retirement investment and tools designed to help you in building a sound financial future; access to education reimbursement; comprehensive resources to support your physical health and emotional well-being; family support programs; and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about.

Our hybrid work model

BlackRock’s hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities. We remain focused on increasing the impactful moments that arise when we work together in person – aligned with our commitment to performance and innovation. As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock.

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At Anthropic, we are pioneering new frontiers in AI that have the potential to greatly benefit society. However, developing advanced AI also comes with risks if not properly safeguarded. That's why we are seeking an exceptional Detection and Response engineer that will be on the frontlines to build solutions to monitor for threats, rapidly investigate incidents, and coordinate response efforts with other teams. In this role, you will have the opportunity to shape our security capabilities from the ground up alongside our world-class research and security teams.

Responsibilities:

• Lead cybersecurity Incident Response efforts covering diverse domains from external attacks to insider threats involving all layers of Anthropic’s technology stack
• Develop and deploy novel tooling that may leverage Large Language Models to enhance detection, investigation, and response capabilities
• Create and optimise detections, playbooks, and workflows to quickly identify and respond to potential incidents
• Review Incident Response metrics and procedures and drive continuous improvement
• Work cross functionally with other security and engineering teams

You may be a good fit if you:

• 3+ years of software engineering experience, with security experience a plus and/or
• 5+ years of detection engineering, incident response, or threat hunting experience
• A solid understanding of cloud environments and operations
• Experience working with engineering teams in a SaaS environment
• Exceptional communication and collaboration skills
• An ability to lead projects with little guidance
• The ability to pick up new languages and technologies quickly
• Experience handling security incidents and investigating anomalies as part of a team
• Knowledge of EDR, SIEM, SOAR, or related security tools

Strong candidates may also have experience with:

• Experience performing security operations or investigations involving large-scale Kubernetes environments
• A high level of proficiency in Python and query languages such as SQL
• Experience analysing attack behaviour and prototyping high-quality detections
• Experience with threat intelligence, malware analysis, infrastructure as code, detection engineering, or forensics
• Experience contributing to a high growth startup environment

Deadline to apply:

None. Applications will be reviewed on a rolling basis.

Logistics

• Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience.
• Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
• Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work.

Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.

How we're different

We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.

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As the Manager of the Applied AI Architect team for DACH Industries at Anthropic, you will drive the adoption of frontier AI by enabling the deployment of Anthropic's products (Claude for Enterprise, Claude Code, and API) across our Industries accounts: large enterprises across all non-tech verticals in Germany, Switzerland and Austria.

You'll leverage your technical skills and consultative sales experience to drive positive AI transformation that addresses our customers' business needs, meets their technical requirements, and provides a high degree of reliability and safety.

Responsibilities

• Hire, manage and mentor a team of Applied AI Architects for DACH, providing both technical guidance and career development

• Set goals and reviews for your team, promoting growth and output

• Work with a handful of highest-value enterprise customers on their overall AI adoption strategies, focusing on pre-sales technical excellence including use case scoping, architecture reviews, technical champion building, technical adoption workshops and POC execution

• Partner closely with your aligned GTM leadership to understand customer requirements and co-build GTM strategies to drive adoption across all industry verticals

• Own the technical portions of pre-sales engagements, ensuring your team provides compelling demos and validates customer ROI from Anthropic products

• Develop scalable technical engagement frameworks and reusable assets tailored for all non-tech sectors, including Financial Services & Insurance, Healthcare, Telco, Retail and others.

• Drive collaboration from cross-functional teams to influence and unify stakeholders at all levels of the organisation to drive business outcomes

• Travel to customer sites for executive-level sessions, technical workshops, and building relationships

• Establish a shared vision for creating solutions that enable beneficial and safe AI

• Lead the vision, strategy, and execution of innovative solutions that leverage our latest models' capabilities

• Contribute to thought leadership through conference presentations, webinars, and technical content creation

• Stay current with emerging AI/ML trends and competitive landscape across all major Industries verticals

You may be a good fit if you have:

• 7+ years of experience as an Solutions Architect, Sales Engineer, or similar pre-sales technical role

• 3+ years of technical go-to-market management experience, specifically managing pre-sales teams

• Experience working with and selling to large enterprise customers across multiple verticals

• Demonstrated ability to navigate and articulate complex technical, organisational and regulatory requirements of large enterprises, in particular in regulated industries (e.g FSI, Healthcare & Life Sciences)

• A proven knowledge of the DACH market and its local specificities (regulatory, cultural, technical…)

• Experience framing and delivering enterprise AI use cases (productivity, workflow transformation) and or scoping large enterprise adoption programs

• Deep technical proficiency with enterprise AI deployments, API integrations, and production LLM use cases

• Demonstrated ability to build scalable, repeatable processes and frameworks that work across diverse customer segments

• An organisational mindset and enjoy building foundational teams in a relatively unstructured environment

• Excellent communication, collaboration, and coaching abilities

• Comfort dealing with highly uncertain, ambiguous, and fast-moving environments

• Strong executive presence and ability to foster deep relationships with technical leaders and engineering teams

• High-level familiarity with the architecture and operation of LLM and/or ML in general

• Experience with prompt engineering, LLM evaluation, and architecting AI-powered systems

• Ability to make ambiguous problems clear and identify core principles that can translate across scenarios

• A passion for making powerful technology safe and societally beneficial

• Creative thinking about the risks and benefits of new technologies, beyond past checklists and playbooks

• A track record of staying current with emerging AI research and industry trends

Strong candidates may also have:

• 10+ years technical experience

• 5+ years managing AI technical teams in hypergrowth

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Location

Europe

Employment Type

Full time

Location Type

Remote

Department

EngineeringEngineering

Synthesia is the world's leading AI video platform for business, used by over 90% of the Fortune 100. Founded in 2017, the company is headquartered in London, with offices and teams across Europe and the US.

As AI continues to shape the way we live and work, Synthesia develops products to enhance visual communication and enterprise skill development, helping people work better and stay at the center of successful organizations.

Following our recent Series E funding round, where we raised $200 million, our valuation stands at $4 billion. Our total funding exceeds $530 million from premier investors including Accel, NVentures (Nvidia's VC arm), Kleiner Perkins, GV, and Evantic Capital, alongside the founders and operators of Stripe, Datadog, Miro, and Webflow.

About the role

• Lead the delivery of complex engineering projects, breaking them down into manageable stages with predictable timelines. Make informed decisions on trade-offs and effectively communicate these to stakeholders. Challenge and support senior engineers to achieve technical excellence.

• Understand engineering leveling and scale the team by identifying and filling skill gaps. Collaborate with recruiting to attract and retain top talent, ensuring the team structure supports current and future business needs.

• Monitor team performance proactively, identifying and addressing issues promptly. Develop strategies to retain top performers through growth opportunities and recognition.

• Navigate difficult conversations with clarity and empathy, especially when working with senior team members. Resolve disagreements by focusing on solutions that align with business goals and foster a collaborative team environment.

• Team you would be leading - Developer Platform is a team focused on helping engineers at Synthesia build, ship, and operate software faster and more safely by providing opinionated, self-service tooling with strong defaults. As the company grows, complexity grows with it. Our job is to create structure and tools to simplify and reduce that complexity so product teams don’t have to.

What we're looking for:

• Proven experience in leading engineering teams and delivering large-scale projects with predictable outcomes, ideally 2+ years.

• Strong understanding of engineering levels and experience in scaling teams effectively.

• Proven ability to track performance and helping every team member improve output and achieve career goals.

• Excellent communication skills, with experience in handling difficult conversations and resolving conflicts constructively.

• Relevant engineering background for a team building an enterprise-grade SaaS product.

• Experience in leading Platform/DevEx teams is a big plus, but not mandatory.

Why join us?

We’re living the golden age of AI. The next decade will yield the next iconic companies, and we dare to say we have what it takes to become one. Here’s why,

Our culture

At Synthesia we’re passionate about building, not talking, planning or politicising. We strive to hire the smartest, kindest and most unrelenting people and let them do their best work without distractions. Our work principles serve as our charter for how we make decisions, give feedback and structure our work to empower everyone to go as fast as possible. You can find out more about these principles here.

Serving 50,000+ customers (and 80% of the Fortune 500)

We’re trusted by leading brands such as Heineken, Zoom, Xerox, McDonald’s and more. Read stories from happy customers and what 1,200+ people say on G2.

Proprietary AI technology

Since 2017, we’ve been pioneering advancements in Generative AI. Our AI technology is built in-house, by a team of world-class AI researchers and engineers. Learn more about our AI Research Lab and the team behind.

AI Safety, Ethics and Security

AI safety, ethics, and security are fundamental to our mission. While the full scope of Artificial Intelligence's impact on our society is still unfolding, our position is clear: People first. Always.  Learn more about our commitments to AI Ethics, Safety & Security.

The hiring process:

1. 30-40min call with a Technical Recruiter

1. 45min call with an Engineering Manager

1. Take-home assignment (no coding required) - writing an RFC, solution proposal

1. 60min task debrief and technical discussion

1. 45min call with leadership

The process does not need to take long - we can be done in seven working days.

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Our team brings OpenAI’s most capable technology to the world through our products. We’ve released ChatGPT, o3, and Sora. We empower consumers and developers alike to use and access our state-of-the-art AI models, allowing them to do things that they’ve never been able to before.

Across all product lines, we ensure that these powerful tools are used responsibly. This is a key part of OpenAI’s path towards safely deploying broadly beneficial Artificial General Intelligence (AGI). Safety is more important to us than unfettered growth.

About the Role

We are seeking an experienced Product Manager to scale the product efforts and overall technical strategy for the Integrity team. The ideal candidate has prior experience solving complex forms of scaled abuse, building sophisticated protections across multiple parts of OpenAI’s product suite (ChatGPT, API, Sora). This role requires close collaboration with our product, safety, policy, user operations and engineering teams.

This position is based in London, England. We utilize a hybrid work model with 3 days in the office per week and offer relocation assistance to new employees.

In this role, you will:

• Build tooling for AI-forward investigation of malicious users

• Develop infrastructure for the incubation of detection of novel misuse of OpenAI’s services

• Lead full stack systems to prevent violations of OpenAI’s usage policies

• Use data to better understand user needs and guide future product development

• Collaborate with a wide range of stakeholders, including teams in product, finance, operations and engineering.

You might thrive in this role if you:

• Have 10+ years of product management or related industry experience.

• Obtained a bachelor's degree in Computer Science, Engineering, Information Systems, Analytics, Mathematics, Physics, Applied Sciences, or a related field.

• Have proven experience working in a technical environment with cross-functional teams to drive product vision, define requirements, and guide the team through key milestones.

• Have world-class communication and collaboration skills in working with a wide variety of cross-functional stakeholders

• Showcase strong leadership, organizational, and execution skills, along with proven communication abilities.

Compensation, Benefits and Perks

This is a position with OpenAI UK Ltd., which controls the hiring and management of this position.

Total compensation includes a competitive salary, generous equity, and benefits.

• Private medical insurance covering 100% of premiums for employees and their dependents

• Pension plan with 4% employer contribution

• 52 weeks of maternity leave and 24 weeks of parental leave

• Unlimited time off

• Annual learning & development stipend ($1,500 USD equivalent per year)

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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Location

San Francisco

Employment Type

Full time

Department

Finance

Compensation

• $216K – $240K • 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.

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.

About the Team

OpenAI Finance ensures the organization is positioned for long-term success as we pursue our mission. The Revenue team plays a critical role in enabling OpenAI to scale its commercial offerings — overseeing billing operations, deal desk, revenue systems, and revenue accounting. We work cross-functionally with Product, Engineering, and Go-To-Market teams to support new monetization strategies, improve operational efficiency, and maintain financial integrity as the business grows.

About the Role

As the Ads Accounting Senior Manager, you will own the accounting and controllership for OpenAI’s advertising products. This includes end-to-end responsibility for revenue recognition, close, controls, and reporting for Ads — spanning measurement logic, rev-share structures, incentives, and emerging monetization models.

You’ll work closely with Product, Engineering, Technical Accounting, GTM, Tax, and other key stakeholders to ensure Ads monetization is designed and operationalized in a way that is compliant, scalable, and decision-useful in a rapidly evolving product environment.

Advertising is a critical and growing monetization vector for OpenAI, and this role will help shape the financial foundations that enable Ads to scale responsibly and transparently.

Responsibilities

• Own end-to-end accounting and controllership for Ads, including revenue recognition, contra-revenue, rev-share, incentives, and related accruals, in accordance with ASC 606.

• Lead month-end and quarter-end close for Ads, ensuring accurate, complete, and timely reporting supported by robust reconciliations and flux analysis.

• Serve as the primary accounting partner for Ads monetization, supporting new product launches, pricing changes, and monetization experiments from design through steady-state operations.

• Translate complex commercial and contractual terms into operational accounting workflows, partnering with Technical Revenue Accounting to ensure policy alignment and scalable execution.

• Design, implement, and maintain SOX-compliant controls across Ads revenue measurement, recognition, and reporting.

• Collaborate with Product and Engineering to define, validate, and audit Ads measurement logic (e.g., impressions, clicks, usage, rev-share), ensuring underlying data pipelines are reliable, reconcilable, and scalable.

• Support and influence system implementations and enhancements, including Oracle Fusion, data warehouses, and Ads or billing integrations, with a focus on accounting integrity and auditability.

• Act as the accounting DRI for Ads in cross-functional forums, providing clear guidance, proactively flagging risks, and driving timely, well-reasoned decisions.

• Lead and support internal and external audits related to Ads, including documentation, walkthroughs, issue resolution, and remediation of findings.

• Contribute to broader revenue accounting initiatives, including automation, tooling, and process improvements that improve speed, quality, and scalability.

Requirements

• 10+ years of progressive accounting experience, including revenue accounting in a public company or late-stage private company.

• A CPA (or equivalent) with a strong command of ASC 606.

• Experience owning or supporting advertising revenue models, marketplace economics, and revenue-share arrangements, including complex measurement and data dependencies.

• Deep understanding of the order-to-cash lifecycle, including upstream data dependencies and downstream reporting.

• Comfort working with large datasets, partnering with data and engineering teams, and validating complex, high-volume calculations.

• Experience with Oracle Fusion ERP and system implementations

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San Francisco

Employment Type

Full time

Location Type

Hybrid

Department

Finance

Compensation

• $216K – $240K • 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 OpenAI Finance ensures the organization is positioned for long-term success as we pursue our mission. The Revenue team plays a critical role in enabling OpenAI to scale its commercial offerings — overseeing billing operations, deal desk, revenue systems, and revenue accounting. We work cross-functionally with Product, Engineering, and Go-To-Market teams to support new monetization strategies, improve operational efficiency, and maintain financial integrity as the business grows.

About the Role As the Ads Revenue Accounting Lead, you will own the accounting and controllership for OpenAI’s advertising products. This includes end-to-end responsibility for revenue recognition, close, controls, and reporting for Ads — spanning measurement logic, rev-share structures, incentives, and emerging monetization models.

You’ll work closely with Product, Engineering, Technical Accounting, GTM, Tax, and other key stakeholders to ensure Ads monetization is designed and operationalized in a way that is compliant, scalable, and decision-useful in a rapidly evolving product environment.

Advertising is a critical and growing monetization vector for OpenAI, and this role will help shape the financial foundations that enable Ads to scale responsibly and transparently.

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.

You’ll be responsible for:

• Own end-to-end accounting and controllership for Ads, including revenue recognition, contra-revenue, rev-share, incentives, and related accruals, in accordance with ASC 606.

• Lead month-end and quarter-end close for Ads, ensuring accurate, complete, and timely reporting supported by robust reconciliations and flux analysis.

• Serve as the primary accounting partner for Ads monetization, supporting new product launches, pricing changes, and monetization experiments from design through steady-state operations.

• Translate complex commercial and contractual terms into operational accounting workflows, partnering with Technical Revenue Accounting to ensure policy alignment and scalable execution.

• Design, implement, and maintain SOX-compliant controls across Ads revenue measurement, recognition, and reporting.

• Collaborate with Product and Engineering to define, validate, and audit Ads measurement logic (e.g., impressions, clicks, usage, rev-share), ensuring underlying data pipelines are reliable, reconcilable, and scalable.

• Support and influence system implementations and enhancements, including Oracle Fusion, data warehouses, and Ads or billing integrations, with a focus on accounting integrity and auditability.

• Act as the accounting DRI for Ads in cross-functional forums, providing clear guidance, proactively flagging risks, and driving timely, well-reasoned decisions.

• Lead and support internal and external audits related to Ads, including documentation, walkthroughs, issue resolution, and remediation of findings.

• Contribute to broader revenue accounting initiatives, including automation, tooling, and process improvements that improve speed, quality, and scalability.

We’re looking for someone with:

• 10+ years of progressive accounting experience, including revenue accounting in a public company or late-stage private company.

• A CPA (or equivalent) with a strong command of ASC 606.

• Experience owning or supporting advertising revenue models, marketplace economics, and revenue-share arrangements, including complex measurement and data dependencies.

• Deep understanding of the order-to-cash lifecycle, including upstream data dependencies and downstream reporting.

• Comfort working with large datasets, partnering with data and engineering teams, and validating complex, high-volume calculations.

• Experience with Oracle Fusion ERP and

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We’re in search of a Software Engineer with experience building data pipelines and working closely with members of the Legal team. This role is perfect for someone who's passionate about the intersection of systems, privacy, and legal compliance. You will architect, design, and write backend systems responsible for handling some of the most sensitive data at OpenAI.

This role is based in Dublin, Ireland. 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, build, and maintain back-end systems and services that power privacy and data compliance functions within our API products and consumer applications.

• Work closely with legal advisors and other engineers to respond to court orders and other legal processes, all while upholding strict data privacy and legal standards.

• Identify opportunities for automation and build the tools that enable other teams to automate tasks involving customer data.

• Develop and implement data handling policies and procedures in compliance with legal and ethical standards, ensuring the integrity and confidentiality of user data.

You might thrive in this role if you:

• Have experience building data pipelines, especially for legal processes and investigative workflows.

• Can translate legal requirements into technical solutions and explain technical solutions to a non-technical audience.

• Take responsibility for problems from beginning to end, and are prepared to acquire any missing knowledge necessary to get the job done.

• Create tools to speed up your own and your colleagues’ workflows, particularly when pre-existing solutions are inadequate.

• Deeply care about user experience and take pride in developing products that meet customer needs while ensuring privacy.

• Have a background in security investigations or experience working in collaboration with trust and safety, legal, and engineering teams.

Compensation, Benefits and Perks

This is a position with OpenAI Ireland Ltd., which controls the hiring and management of this position.

Total compensation includes an annual salary, generous equity, and benefits.

• Medical, dental, and vision insurance for you and your family

• Mental health and wellness support

• PRSA plan with 6% employer matching

• Unlimited time off

• Annual learning & development stipend (€1,400 per year)

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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Location

San Francisco; Seattle

Employment Type

Full time

Department

Applied AI

Compensation

• $210K – $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 AI team safely brings OpenAI's technology to the world. We released ChatGPT, Plugins, DALL·E, and the APIs for GPT-4, GPT-3, embeddings, and fine-tuning. We also operate inference infrastructure at scale. There's a lot more on the immediate horizon.

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. We serve end-users directly through ChatGPT, and serve developers through our APIs, which power product features that were never before possible.

About the Role

The Engineering Acceleration team designs, builds and maintains the foundational systems that engineers use to build ChatGPT and the API. This is a fast-growing team and you will get a chance to own and define the strategy, vision, and plan for how to increase developer productivity.

In this role, you will:

• Drive the design, development, and implementation of tools, systems, and processes that accelerate engineering velocity, reduce manual effort, and increase the quality of output.

• Use our latest AI tools to re-think how we can be the most productive team in the industry.

• Bring new features and research capabilities to the world by partnering with product engineers to lay the necessary technical foundations.

• Guide and advise product engineering teams on best practices for ensuring observable, scalable systems.

• 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 of experience in engineering, including 3+ years of experience in infrastructure building tooling for developers.

• Have experience-driven empathy for the tools, frustrations, and processes that slow engineering teams down and lead to toil or burnout.

• Have a voracious and intrinsic desire to learn and fill in missing skills—and an equally strong talent for sharing learnings clearly and concisely with others.

• Are comfortable with ambiguity and rapidly changing conditions. You view changes as an opportunity to add structure and order when necessary.

As technical context: at the heart of our infrastructure is a large-scale deployment of GPU nodes running in dozens of Kubernetes clusters across regions. Some core technologies we build with include Terraform, Buildkite, Postgres, Cosmos DB, Kafka, Python, and FastAPI.

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

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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Engineering Manager, Identity Infrastructure

Location

San Francisco

Employment Type

Full time

Department

Applied AI

Compensation

• $293K – $385K • 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

Identity is the foundation of trust in an AI-powered world. As people build a rich personal and organisational context in ChatGPT, they need systems that protect it, remember it, and let them share it securely across apps and agents. Without strong identity, context stays locked away or exposed. With it, AI becomes safe, personal, and truly useful, empowering users while keeping control firmly in their hands. Our team builds the trusted OpenAI account layer that connects people, enterprises, developers, and agents to OpenAI apps and the broader AI ecosystem. Our systems are the front door to OpenAI—held to an exceptionally high bar for availability, security, and latency—and are depended on by many internal teams.

About the Role

As an Engineering Manager, Identity Infrastructure, you will lead a team owning foundational identity services that must be highly reliable, secure, and fast under extreme load. You’ll set direction, grow and support the team, and partner closely across engineering and security to strengthen the platform that enables trusted access to OpenAI products.

We’re looking for people who combine strong infrastructure depth with people leadership—someone who can guide technical strategy, run reliable operations, and build a high-performing team delivering mission-critical 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.

What You’ll Do:

• Build, lead, and develop a high-performing engineering team. Coach and mentor engineers and senior technical leads to increase their impact and support their growth.

• Define and own the technical strategy, roadmap, and execution for OpenAI’s core identity systems.

• Guide the architecture of distributed systems operating at massive scale, with high requirements for reliability, privacy, and performance.

• Partner closely with Product and Infrastructure teams to support new product needs and uphold high system standards.

• Ensure the team operates effectively, maintains strong engineering rigor, and consistently delivers against ambitious goals.

• Establish processes and a culture that enable fast learning, high trust, and responsible innovation.

• Lead the team responsible for the authentication stack and token exchange infrastructure, ensuring high availability, strong security posture, and low-latency performance.

• Own and improve request validation at the edge for logged-in users, delivering extremely high reliability and fast validation under high throughput.

• Oversee systems that enable secure access to user data, improving scalability, reliability, and access patterns for internal consumers across the company.

You might thrive in this role if you:

• Have 3+ years of experience managing high-performance engineering teams in fast-paced, rapidly shifting environments.

• Have 10+ years of experience building, scaling, and operating distributed systems at large scale.

• Care deeply about people leadership, coaching, and helping engineers achieve peak performance.

• Communicate clearly, think holistically, and make decisions grounded in both user needs and long-term sustainability.

• Have experience managing an infrastructure team and are effective at hiring, coaching, and developing engineers while maintaining strong operational excellence.

• Have deep experience building and operating high-scale backend systems, with a track record of improving reliability, latency, and security in production.

• Bring broad infrastructure expertise across the stack—from hardware and cluster management to services and storage layers.

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 artificial general intelligence and work to align its development with human values. Our mission is to create a world where AI is a powerful tool for humanity, and we believe that this requires a multidisciplinary approach to research and development. We are committed to transparency and open communication, and we believe that sharing our knowledge and insights with the world is essential to advancing the field of AI. We are a team of researchers, engineers, and designers who are passionate about creating a future where AI is a force for good. We are based in San Francisco, California, and we are proud to be a part of the vibrant tech community in the Bay Area. We are committed to diversity, equity, and inclusion, and we believe that a diverse and inclusive team is essential to creating a better future for all. We are always looking for talented individuals who share our vision and values, and we encourage you to join our team and help us shape the future of AI.

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What you'll do

• Collaborate closely with AI Product, Applied ML, Post-Training, and Data Science teams to design, build, and maintain scalable data pipelines and data lakes
• Develop high-performance infrastructure that powers personalization features including memory, discover, and agentic products
• Create a scalable, multi-modal evaluation platform for all Perplexity AI products, including personalization, pro search, labs, deep research, and Comet
• Design tools and abstractions on foundational infrastructure to enhance personalization, analytics, recommendations, AI products, and post-training capabilities
• Holistically improve engineering foundation to support rapid growth of Perplexity products and international user base.

What you need

• Strong programming and data engineering skills, with proficiency in open source & distributed framework(AWS, Spark, Flink, Iceberg, DynamoDB)
• Familiarity with cloud-based data services (e.g., AWS, RDS, DynamoDB), containerized infrastructure (e.g., EKS, Docker), and data streaming (Flink, Spark streaming, CDC)
• Strong quantitative and engineering skills with experience in estimating performance at high scale
• Experience supporting various ML/AI engineering teams to build scalable frameworks to accelerate R&D for frontier models and AI products
• Experience iterating on improving LLM responses and set up proper evaluation framework or Judges to analysis performance holistically.
• Self-motivated with a strong sense of ownership of systems and designs
• 5+ years of industry experience in distributed systems or AI infrastructure

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What you'll do

You will dive into our rich datasets of conversational and agentic queries, leveraging cutting-edge training techniques to scale AI model performance. Through hands-on technical and organizational leadership, you will empower your team to develop SotA models for the use cases that matter most to our business and our users.

• Lead a team of researchers and engineers focused on training SotA models for Perplexity-relevant use cases, leveraging the latest supervised and reinforcement learning techniques.
• Drive research and engineering efforts to develop production models through advanced model training and alignment techniques, including RL, SFT, and other approaches.
• Become deeply familiar with the team’s technical stack, leading from the front through hands-on technical contributions.
• Own the data, training, and eval pipelines required to train and continuously improve LLM models.
• Design and iterate on model training and finetuning algorithms (e.g., preference-based methods, reinforcement learning from human or AI feedback) through an approach that balances scientific rigor and iteration velocity.
• Design evaluations and improve the production model training pipeline to reliably deliver models that lie on the Pareto frontier of speed and quality.
• Work closely with engineering teams to integrate in-house models into our product and rapidly iterate based on real-world usage.
• Manage day-to-day execution, project planning, and prioritization for the model training team to hit ambitious quality and performance goals.

What you need

• Proven experience with large-scale LLMs and Deep Learning systems.
• Strong Python and PyTorch skills; versatility across languages and frameworks is a plus.
• Experience leading or managing research or engineering teams working on large-scale AI model development, including driving complex projects from idea to production.
• Self-starter with a willingness to take ownership of tasks and navigate ambiguity in a fast-moving environment.
• Passion for tackling challenging problems in AI model quality, speed, safety, and reliability.
• 10+ years of technical experience, with at least 2 of those years as a manager and at least 4 of those years working on large-scale AI model development.

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What you'll do

The role of the Development Driver is to drive the Continental GT3 on the track, providing feedback to the engineering team on the car's performance and handling.

• Drive the Continental GT3 on the track, collecting data and providing feedback to the engineering team.

What you need

To be successful in this role, you will need to have a strong background in motorsport, with experience of driving high-performance cars on the track.

• Strong background in motorsport, with experience of driving high-performance cars on the track.

Why this matters

The Continental GT3 is a highly competitive racing car that requires a high level of skill and experience to drive successfully. As a Development Driver, you will play a critical role in the development of the car, working closely with the engineering team to improve its performance and handling.

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