You will define long-term technical direction for customer-facing experiences used by millions, identifying where AI meaningfully improves customer value and translating evolving business context and industry advances into durable, multi-area strategies and roadmaps that shape how Dropbox builds, scales, and innovates, while remaining hands-on in software development where it provides the greatest leverage.

Your influence will span organisations, setting foundational architecture, driving execution standards, and aligning senior technical and product leaders across boundaries. You will lead the responsible introduction and adoption of AI across product capabilities and engineering workflows, bring clarity to the most complex decisions, institutionalise engineering excellence, and contribute directly through critical design, prototyping, and code reviews.

In return, you will operate as a trusted technical partner to senior leadership, shape systems and platforms including AI-powered foundations that define Dropbox's future, and act as a company-level technical strategist, advancing Dropbox's mission to create a more enlightened way of working.

Responsibilities:

• Own and drive technical outcomes across multiple teams and organisations, delivering company-critical customer and business impact at scale.

• Define long-term technical strategy and partner with senior Product and Engineering leaders as the technical owner for the most important company objectives.

• Tackle the most ambiguous and far-reaching technical and product problems, shaping what the company builds as much as how it builds it.

• Remain deeply hands-on in software development, owning and implementing the most critical, complex, and foundational parts of the system where leverage is highest.

• Influence and align roadmaps across organisations, resolving structural bottlenecks and changing how Dropbox builds and operates.

• Architect and evolve foundational systems (this may involve both frontend and backend systems) and platforms that enable new product capabilities and operate reliably at the scale of hundreds of millions of users.

• Model exceptional technical judgment and execution rigor, setting and sustaining high engineering standards across a distributed, virtual environment.

• Drive AI adoption both to increase productivity and to produce AI-based features.

Requirements:

• Advanced degree in Computer Science or a related technical field involving substantial software development, or equivalent industry experience demonstrating deep technical mastery.

• 15+ years of experience designing, building, and evolving large-scale software systems with sustained impact across multiple teams or organisations.

• Demonstrated success operating at a Principal level, owning company-critical technical problems and influencing long-term technical direction.

• Strong experience building consumer-facing products at scale, with a deep understanding of user experience, performance, reliability, and operational excellence.

• Broad and deep technical expertise across multiple domains, including several of frontend, mobile, search, databases, storage systems, concurrency, and distributed systems.

• Practical experience applying modern ML, LLM-based APIs, and agentic frameworks in production systems, with sound judgment around quality, cost, and risk.

• Ability to communicate complex technical concepts clearly and persuasively to senior engineering, product, and executive audiences.

Preferred Qualifications:

• Experience defining and scaling company-wide platforms or architectural standards that are adopted across multiple organisations.

• Proven track record of leading the introduction of new technologies such as AI or ML into core products or engineering workflows with durable impact.

• Experience operating in highly distributed, virtual-first engineering organisations at global scale.

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You will define long-term technical direction for customer-facing experiences used by millions, identifying where AI meaningfully improves customer value and translating evolving business context and industry advances into durable, multi-area strategies and roadmaps that shape how Dropbox builds, scales, and innovates, while remaining hands-on in software development where it provides the greatest leverage.

Your influence will span organisations, setting foundational architecture, driving execution standards, and aligning senior technical and product leaders across boundaries. You will lead the responsible introduction and adoption of AI across product capabilities and engineering workflows, bring clarity to the most complex decisions, institutionalise engineering excellence, and contribute directly through critical design, prototyping, and code reviews.

In return, you will operate as a trusted technical partner to senior leadership, shape systems and platforms including AI-powered foundations that define Dropbox's future, and act as a company-level technical strategist, advancing Dropbox's mission to create a more enlightened way of working.

We are looking for an experienced Principal Engineer to join our team. As a Principal Engineer, you will be responsible for owning and driving technical outcomes across multiple teams and organisations, delivering company-critical customer and business impact at scale.

Responsibilities:

• Own and drive technical outcomes across multiple teams and organisations, delivering company-critical customer and business impact at scale.

• Define long-term technical strategy and partner with senior Product and Engineering leaders as the technical owner for the most important company objectives.

• Tackle the most ambiguous and far-reaching technical and product problems, shaping what the company builds as much as how it builds it.

• Remain deeply hands-on in software development, owning and implementing the most critical, complex, and foundational parts of the system where leverage is highest.

• Influence and align roadmaps across organisations, resolving structural bottlenecks and changing how Dropbox builds and operates.

• Architect and evolve foundational systems (this may involve both frontend and backend systems) and platforms that enable new product capabilities and operate reliably at the scale of hundreds of millions of users.

• Model exceptional technical judgment and execution rigor, setting and sustaining high engineering standards across a distributed, virtual environment.

• Drive AI adoption both to increase productivity and to produce AI-based features.

Requirements:

• Advanced degree in Computer Science or a related technical field involving substantial software development, or equivalent industry experience demonstrating deep technical mastery.

• 15+ years of experience designing, building, and evolving large-scale software systems with sustained impact across multiple teams or organisations.

• Demonstrated success operating at a Principal level, owning company-critical technical problems and influencing long-term technical direction.

• Strong experience building consumer-facing products at scale, with a deep understanding of user experience, performance, reliability, and operational excellence.

• Broad and deep technical expertise across multiple domains, including several of frontend, mobile, search, databases, storage systems, concurrency, and distributed systems.

• Practical experience applying modern ML, LLM-based APIs, and agentic frameworks in production systems, with sound judgment around quality, cost, and risk.

• Ability to communicate complex technical concepts clearly and persuasively to senior engineering, product, and executive audiences.

Preferred Qualifications:

• Experience defining and scaling company-wide platforms or architectural standards that are adopted across multiple organisations.

• Proven track record of leading the introduction of new technologies such as AI or ML into core products or engineering workflows with durable impact.

• Experience operating in highly distributed, virtual-first engineering organisations at global scale.

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Key responsibilities include:

• Driving cross-team technical strategy and alignment for Stripe Scale and future bundles,
• Being the primary technical point of contact for partner teams,
• Leading the design of complex, multi-system integrations,
• Translating ambiguous business requirements into clear technical plans,
• Driving decision-making through influence, not authority,
• Ensuring operational excellence by establishing strong patterns for testing, incident response, and billing accuracy.

Minimum requirements include:

• 10+ years of professional software development experience,
• Demonstrated excellence in cross-team collaboration and stakeholder management,
• Exceptional communication skills,
• Experience navigating organizational complexity,
• Strong systems design experience,
• Experience influencing company or org strategy at the intersection of business needs and technology.

Preferred qualifications include:

• Prior experience in financial technology,
• Experience with internal dogfooding architectures.

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You will own the product roadmap for AI platform areas, defining what we build, why, and in what order, to accelerate customer adoption of AI and ML in production. You will drive strategy for key AI platform capabilities, shaping how enterprises operationalize AI at scale.

You will partner closely with engineering teams to make deeply technical decisions about ML infrastructure, from distributed training architectures to real-time serving systems. You will represent the voice of the customer by engaging directly with enterprise ML teams, translating their pain points and workflows into platform capabilities that simplify the path to production AI.

You will collaborate with GTM, Solutions Architecture, and Customer Success teams to drive enterprise adoption, shape field enablement, and inform competitive positioning. You will define pricing, packaging, and commercialization strategy for AI platform features, working with business teams to maximize value capture.

You will grow end-user engagement with Databricks AI tools by identifying adoption bottlenecks and partnering cross-functionally to remove them.

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As a Staff Technical Program Manager, you'll own program business and technical outcomes end-to-end, ensuring direct, measurable business impact. You'll lead large-scale, cross-functional teams to deliver high-quality, impactful business or technical outcomes. You'll drive complex, cross-organizational programs spanning multiple domains, ranging from internal platform improvements to customer-facing software delivery.

Key responsibilities include:

• Owning program business and technical outcomes end-to-end, ensuring direct, measurable business impact
• Leading large-scale, cross-functional teams to deliver high-quality, impactful business or technical outcomes
• Driving complex, cross-organizational programs spanning multiple domains
• Measuring the quantifiable impact of implemented outcomes and defining clear KPIs to ensure successful execution and sustainable improvement
• Enabling structure and clarity in ambiguous problem spaces, driving decisions and mitigating risks even with incomplete data
• Maintaining a deep technical understanding of the solutions being built, identifying hidden technical risks and resolving upstream and downstream technical dependencies

Requirements include:

• 8+ years of experience driving strategic technical initiatives across multiple functions and influencing VP+ stakeholders
• Experience creating and evolving program management frameworks and practices
• Deep expertise in both business and infrastructure domains, with experience driving programs that address efficiency, risk, controls, and reliability at scale
• Expertise in Fit-Gap Analysis and leading design and technical trade-off discussions to closure
• Advanced ability to define and break down ambiguous and complex business problems
• Strong communication skills with the ability to convey complex ideas authoritatively and influence executives and department leadership
• Experience in the enterprise software industry, SaaS and B2B experience preferred
• Comfortable thriving in a rapidly scaling, dynamic startup environment
• Bachelor's degree required
• Knowledge of Databricks products is a plus

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Scaling a company like this requires financial systems that are as fast, accurate, and durable as the technology we deploy. We build autonomous systems for national security and critical infrastructure.

Responsibilities:

• Own the bookings→revenue engine and forecast the business with operational truth.
• Build GTM capacity + productivity models (RREs, coverage, magic number, CAC).
• Instrument pipeline health and conversion across segments and deal types.
• Stand up GTM Finance systems (Anaplan, ERP, CRM, BI) with real automation.
• Partner with GTM, Product, and Programs to align investment with mission outcomes.
• Lead and grow a high-performance GTM Finance team.

Required qualifications:

• 12+ years in FP&A and GTM Finance business partnership supporting Sales/Capture/BD and Marketing.
• Owned the bookings→revenue engine and forecast the business with operational truth.
• Built GTM capacity + productivity models (RREs, coverage, magic number, CAC).
• Instrumented pipeline health and conversion across segments and deal types.
• Stood up GTM Finance systems (Anaplan, ERP, CRM, BI) with real automation.
• Partnered with GTM, Product, and Programs to align investment with mission outcomes.
• Lead and grow a high-performance GTM Finance team.

Preferred qualifications:

• Experience in defense, aerospace, robotics, autonomy, or deep tech.
• Knowledge of government contract structures (OTA, IDIQ, CPFF/CPIF, FFP) and program accounting; ASC 606 for milestone-based programs.
• Understanding of hardware production ramps and manufacturing scale.
• Strong data fluency across dashboards, data models, and ERP/CRM/BI integrations.

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You will shape how we plan, forecast, and allocate resources for the teams that power the company's growth.

Responsibilities:

• Own Corporate Forecasting and Planning:

Lead monthly forecasts, quarterly updates, and the annual planning cycle Build and maintain integrated three-statement models for Corporate FP&A Translate headcount plans, operating initiatives, and investment decisions into financial impacts Support executive-level reporting and Board materials Improve forecasting accuracy and the operating cadence across all G&A functions

• Co-Lead Anaplan and Financial Systems for Corporate FP&A:

Serve as the Corporate Finance Anaplan owner,model builds, enhancements, and governance Replace manual work with scalable, automated workflows Partner with IT, Data, and Engineering to enhance financial data quality Help standardize processes across ERP, HRIS, procurement, and financial systems

• Be the Finance Partner to G&A:

Support HR, IT, Legal, Finance, Facilities, and other G&A groups with planning and decision support Build capacity and headcount models in partnership with the People Team Support software procurement and vendor rationalization with the CIO organization Deliver insights that guide decisions,not just reports

Requirements:

• 10+ years of experience in Corporate Finance or FP&A
• Strong three-statement modeling and forecasting skills
• Hands-on Anaplan ownership or implementation experience
• Experience building scalable planning processes and systems
• Systems mindset with a focus on automation and simplification
• Proven ability to partner with senior leaders across functions
• Comfortable operating in fast-paced, dynamic environments
• Experience writing clear business requirements for technical teams

Salary:

$140,000 - $210,000 a year

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This is a highly hands-on role: the Digital Strategist will not only define what we say, but help create it,writing content, shaping narratives, and working closely with internal teams to capture and produce high-quality visuals and stories. The ideal candidate is both a strong strategist and a scrappy creator who thrives in a fast-paced, mission-driven environment.

Key Responsibilities:

• Own and execute a multi-channel digital content strategy across social media and web
• Develop and manage the editorial/content calendar aligned to company priorities and milestones
• Write, edit, and publish content across platforms (e.g., LinkedIn, X, website)
• Translate complex technical concepts into clear, engaging, and accessible narratives
• Partner with engineering, product, growth, and leadership teams to identify and develop high-impact stories
• Collaborate with internal teams and external partners to produce visual content (imagery, short-form video, graphics)
• Ensure consistency in voice, quality, and messaging across all digital channels
• Monitor performance across platforms, including engagement, reach, and audience growth
• Analyze and report on digital and web metrics, using insights to continuously refine strategy
• Optimize content for shareability and audience resonance, with a focus on organic amplification
• Maintain awareness of methodologies and best practices across digital storytelling to inform strategy

Qualifications:

• 3–6+ years of experience in digital strategy, social media, or content marketing
• Strong writing and storytelling skills, with the ability to simplify complex topics
• Experience creating and publishing content across multiple digital platforms
• Experience managing content calendars and working cross-functionally to deliver content
• Familiarity with basic content capture tools (e.g., smartphone video/photo, lightweight editing tools)

Preferred Qualifications:

• Experience in deep tech environments
• Familiarity with analytics tools (e.g., Google Analytics, Sprout Social, CMS platforms, etc.)
• Experience working in high-growth startup environments
• Ability to operate autonomously and collaborate across technical and non-technical teams
• Ability to capture content directly when needed (e.g., on-site photos, behind-the-scenes moments)

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

We are a global company with a diverse workforce, operating in various locations including France, USA, UK, Germany, and Singapore.

Role Summary

As part of Mistral's expansion in North Africa, we are hiring a Senior Account Manager to lead and grow our most strategic accounts in Morocco, spanning large enterprises and public sector institutions.

Responsibilities

Strategic Account Ownership & Value-Based Selling

• Own and grow a portfolio of strategic enterprise and public sector accounts, with existing and future contracts in the €1M+ ACV range.

• Act as a trusted advisor to C-level and senior executives (CEO, CIO, CDO, CTO, Transformation Directors).

• Define multi-year account strategies and transformation roadmaps, aligned with clients' business priorities, regulatory constraints, and digital ambitions.

• Lead complex deal structures focused on business value, ROI, and long-term impact, rather than transactional SaaS sales.

Relationship & Stakeholder Leadership

• Build durable, executive-level relationships across complex organizations (banks, industrial groups, ministries, agencies).

• Navigate multi-stakeholder environments involving IT, security, compliance, procurement, and executive sponsors.

• Act as the voice of the customer internally, ensuring strong alignment with product, engineering, legal, and leadership teams.

• Lead Executive Reviews and strategic steering committees with clients.

Expansion, Transformation & Delivery Success

• Identify expansion opportunities (new use cases, departments, subsidiaries, agencies) within existing accounts.

• Collaborate closely with technical and product teams to ensure successful deployments and adoption.

• Support customers through large-scale AI transformation programs (on-prem, sovereign cloud, regulated environments).

• Contribute to Mistral's long-term positioning in Morocco as a trusted AI partner, not just a technology vendor.

About You

• 8+ years of experience in senior account management, consulting, or enterprise sales roles involving complex, high-value deals.

• Strong exposure to value-based selling and transformational sales, ideally beyond a pure transactional SaaS model.

• Proven experience managing large, strategic accounts over multiple years, with C-level engagement.

• Background in management consulting is highly appreciated.

• Strong understanding of banking or financial services is a plus (experience with major banking groups such as AWB is an advantage).

• Comfortable selling and positioning deep tech solutions (AI platforms, data, cloud, infrastructure) to both business and technical leaders.

• Excellent stakeholder management skills, structured, credible, calm, and impact-driven.

• Entrepreneurial mindset with the ability to operate in a fast-scaling, high-ownership environment.

• Fluent in Arabic and English; Arabic is a strong plus depending on client context.

Benefits

Transportation: Allowance public transportation allowance or Parking charges reimbursed

Sport: Allowance for gym membership allowance

Meal: Allowance for meals (solution might evolve as we grow bigger)

Health Insurance

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KoBold Metals is hiring a SVP of Finance to help prepare our global accounting, finance operations, and treasury functions for IPO. The right candidate will combine deep technical accounting expertise with strong strategic instincts and operational leadership.

Reporting to the CFO, the role will create and execute a roadmap for the company’s IPO, growing a finance function that can support a public company while staying as lean as possible. This will require building durable systems that allow small, highly capable teams to support an ever increasing scope.

The day-to-day environment at KoBold Metals is dynamic. Success requires a leader who brings structure to complexity, holds teams accountable, and maintains momentum amid change.

Responsibilities

IPO-Readiness and Execution

• Create and execute a roadmap for KoBold IPO-readiness and eventually shepherd the company through an IPO
• Build a controls environment that supports both rapid growth and public company readiness
• Align external stakeholders on public company readiness, including auditors, legal advisors, and regulators in each of the jurisdictions where we operate

Systems, Automation, and AI-Enabled Productivity

• Drive modern operations across the team with a focus on automation and AI-enabled workflows that reduce manual work, improve accuracy, and increase team capacity
• Guide selection and deployment of finance technology systems (e.g., ERP/accounting systems, payables, expenses, procurement, travel, etc.) that support our anticipated growth
• Foster a culture that treats process improvement as essential work, building repeatable mechanisms to identify and eliminate bottlenecks

Accounting, Finance Operations, and Treasury

• Oversee accounting financial statement preparation, and accounting policies
• Partner with FP&A to ensure clean financial data with a single source of truth
• Lead a lean, scalable finance operations team
• Oversee and scale global treasury operations including cash planning, cash controls, bank relationships, signatory policies, and overall cash governance

Leadership, Culture, and Business Partnership

• Develop a deep understanding of KoBold’s technology, operating model, and field activities, and translate that understanding into processes, controls, and insights
• Apply a commercial mindset to this function, understanding project goals, practical constraints, and the company’s broader objectives; then build operations that support those goals
• Maintain clear systems of accountability, measurable performance indicators, structured timelines, and a strong culture of ownership
• Partner cross-functionally with field operations, geoscience, engineering, G&A functions, and other executives to find ways to play an active role in improving business operations

Qualifications

• A great candidate:

• Brings experience preparing a company for an IPO
• Can successfully guide the company through an IPO and oversee a public company finance function
• Has a track record managing lean and efficient teams, with experience integrating AI into traditional finance workflows
• Has significant leadership experience in accounting and finance operations, with significant technical accounting expertise
• Is a creative problem solver who works hard, holds high standards, and treats people with respect and care
• Feels energized by KoBold Metals' mission, bringing optimism that lifts the team and builds belief
• Has experience managing teams in dynamic, high-growth environments with a high degree of accountability and execution quality
• Brings strong cross-functional communication and ability to align finance with commercial and operational needs
• Is curious to learn about all aspects of our business, including travel to exploration field operations and mine development operations
• Demonstrates integrity, strong judgment, and comfort operating with urgency and precision

Experience Level: executive Employment Type: full-time Workplace Type: remote Category: Finance Industry: Mining Salary Range: $250,000 - $300,000 plus equity and benefits Required Skills: [listed in the job posting] Preferred Skills: []

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Your work will involve proactively researching protocol integrations with emerging blockchains, developing on-chain solutions that drive value for protocol foundations and institutional investors. You will independently define the requirements and roadmap, collaborating closely with an agile scrum team on cutting-edge blockchain research and integrations.

Key responsibilities include:

• Maintaining a deep technical understanding of the crypto landscape, including various Layer 1 and Layer 2 protocols.
• Demonstrating a history of meaningful contributions to technical projects with the ability to write clean, effective code.
• Leveraging AI tools like Cursor, Claude, and ChatGPT to accelerate prototyping, research, and reviews thoughtfully.

You will work closely with sales, protocol research, engineering, and product to set the pace, drive projects forward, and unblock the team. You will also represent Anchorage Digital as a technical ambassador in online forums, at industry events, and during client engagements.

To be successful in this role, you will need to have a demonstrable passion and deep technical understanding of the crypto landscape, including various Layer 1 and Layer 2 protocols. You should also have exceptional communication skills, with the ability to articulate complex technical concepts to both engineering and executive audiences.

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We currently have 614 open roles

You are a visionary leader and technical expert with a passion for driving customer success in advanced semiconductor design. You thrive in dynamic, collaborative environments and excel at building and leading high-performance teams. With extensive experience in 3DIC design and multiphysics analysis, you have a proven track record of delivering innovative solutions to complex technical challenges.

Responsibilities

• Lead and mentor a team of applications engineers and sales specialists focused on 3DIC technology, fostering technical excellence and professional growth.
• Drive customer engagements, ensuring successful adoption and deployment of Synopsys 3DIC solutions across key accounts.
• Collaborate with R&D, product management, and account teams to define product direction and influence the 3DIC roadmap based on customer feedback and market demands.
• Develop and implement strategies for solving complex technical challenges related to 3DIC design, integration, packaging, and verification.
• Represent Synopsys at industry events, conferences, and customer meetings, showcasing thought leadership and technical expertise.
• Oversee the creation and delivery of technical collateral, including application notes, best practices, and training materials.
• Ensure continuous improvement of customer support processes and technical engagement models to maximize customer success and satisfaction.

Impact

• Leverage Ansys market-leading multiphysics analysis to accelerate the adoption of Synopsys' 3DIC solutions, driving revenue growth and expanding our leadership in advanced semiconductor markets.
• Shape the future of 3DIC technology through strategic customer partnerships and by influencing product innovation.
• Empower customers to overcome technical barriers, enabling them to deliver next-generation, high-performance silicon solutions.
• Enhance Synopsys' reputation as a trusted technology partner and thought leader in the 3DIC space.
• Drive cross-functional collaboration to deliver seamless, integrated solutions that address critical industry challenges.
• Foster a high-performance team culture that attracts, develops, and retains top engineering talent.
• Ensure customer feedback and market insights are systematically integrated into product development cycles.

Requirements

• Deep technical expertise in 3DIC planning, design, multiphysics analysis, and verification methodologies (EDA tools, advanced packaging, TSV, HBM, etc.).
• Proven leadership experience managing large, geographically distributed applications engineering or technical sales teams.
• Strong background in semiconductor design flows, system integration, and silicon implementation.
• Excellent problem-solving skills, with the ability to diagnose and resolve complex technical issues in real-time customer environments.
• Familiarity with industry standards and trends in advanced node technologies, packaging, and chiplet architectures.
• Experience collaborating with product management, R&D, and sales to drive product direction and customer success.

Team

You will lead the 3DIC Technical Sales and Applications Engineering team, a group of industry experts dedicated to enabling customer success with Synopsys' most advanced semiconductor technologies. The team works at the intersection of engineering, customer engagement, and product innovation, playing a pivotal role in shaping the future of 3DIC design. Together, you will drive technical excellence, foster strong customer relationships, and collaborate across Synopsys to deliver transformative solutions that set new industry standards.

We Are

At Synopsys, we drive the innovations that shape the way we live and connect. Our technology is central to the Era of Pervasive Intelligence, from self-driving cars to learning machines. We lead in chip design, verification, and IP integration, empowering the creation of high-performance silicon chips and software content. Join us to transform the future through continuous technological innovation.

Rewards and Benefits

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

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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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What you'll be doing.

• Lead the function's people strategy as the Senior People Business Partner, providing strategic direction and serving as the key point of contact for people-related matters.
• Set the standard for excellence, mentoring and developing other People Business Partners while driving best-in-class business partnering across the function.
• Manage complex employee relations cases independently, leveraging extensive ER expertise to provide coaching and guidance to leaders and other People Business Partners on best practices.
• Partner closely with Product and R&D teams, leveraging a deep understanding of their unique challenges and fostering alignment between the two functions to deliver people-focused solutions that drive innovation, agility, and technical excellence.
• Lead critical people initiatives, including review cycles, compensation, performance management and engagement strategies, ensuring alignment with business goals.
• Collaborate with the wider People team on high-impact strategic projects, delivering tailored solutions that enable our people to do their best work.
• Champion a balanced, commercially driven people-centric approach, implementing innovative and pragmatic solutions that align business priorities with employee experience.
• Leverage data-driven insights to support Talent, Employee Experience, L&D, and People Operations teams, ensuring the successful execution of the people agenda.
• Take a proactive approach to employee relations, analysing trends, recommending solutions, and coaching managers to address issues before they escalate.

Requirements

• With a wealth of HR and Business Partnering expertise, you have a strong track record of supporting and scaling technical teams.
• Adept at balancing multiple priorities, you take a hands-on yet strategic approach, developing trusted and influential relationships with senior leadership and key stakeholders.
• You will collaborate closely with the People Business Partnering team and communities of expertise, driving initiatives that support Quantexa's people agenda and long-term success.
• Extensive Business Partnering Expertise – A proven track record of operating as a true strategic partner, delivering impactful people solutions in fast-paced, innovative environments.
• Deep Technical and Product Expertise – Extensive knowledge of Product, R&D, and technical functions, with a proven track record of supporting highly skilled teams and fostering a high-performance engineering culture.
• Business Transformation & Change Leadership – Experience leading people workstreams in transformation initiatives, driving successful organisational change.
• C-Suite and Leadership Team Partnering – Skilled in engaging with C-suite executives and senior leadership, building strong relationships, and influencing strategic decisions.
• Expert Employee Relations Management – Ability to independently manage complex ER cases, while providing coaching and mentorship to other People Business Partners.
• Agile & Results-Driven Approach – Comfortable operating in a fast-moving, results-oriented environment, balancing strategic priorities with hands-on execution.
• Proactive & Solutions-Focused Mindset – Self-motivated with the confidence to take initiative, offer innovative ideas, and drive continuous improvement.
• Exceptional Communication & Stakeholder Management – Ability to influence, collaborate, and engage effectively at all levels, managing multiple priorities with ease.
• Team Player & Growth-Oriented – Strong team-working skills, with a passion for contributing to the success of a rapidly growing organisation.
• Commitment to Continuous Learning – Actively seeks opportunities to enhance knowledge and share best practices, ensuring alignment with evolving people and business needs.
• Education & Professional Qualification – Degree-educated and CIPD qualified (or equivalent), with a strong foundation in HR best practices and strategic people leadership.

Benefits

• Competitive salary
• Company bonus
• 25 days annual leave (with the option of buying up to 5 days, and rolling over up to 10), plus national holidays + your birthday off!
• Pension scheme with a company contribution of 6% (when you contribute 3%)
• Private Healthcare with AXA, including dental & optic cover
• Life Insurance and Income Protection
• Regularly bench-marked salary rates
• Enhanced Maternity, Paternity, Adoption, or Shared Parental Leave
• Well-being days
• Volunteer Day off
• Work from Home Equipment
• Commuter, Tech and cycle to work schemes
• Octopus EV Salary Sacrifice scheme
• Free Calm App Subscription #1 app for meditation, relaxation and sleep
• Continuous Training and Development, including access to Udemy Business
• Spend up to 2 months working outside of your country of employment over a rolling 12-month period with our ‘Work from Anywhere’ policy
• Employee Referral Program
• Team Social Budget & Company-wide Socials

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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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You'll combine your deep technical expertise with customer-facing skills to architect innovative LLM solutions that address complex business challenges while maintaining our high standards for safety and reliability.

Working closely with our Sales, Product, and Engineering teams, you'll guide customers from initial technical discovery through successful deployment. You'll leverage your expertise to help customers understand Claude's capabilities, develop evals, and design scalable architectures that maximise the value of our AI systems.

Responsibilities:

• Partner with account executives to deeply understand customer requirements and translate them into technical solutions, ensuring alignment between business objectives and technical implementation
• Serve as the primary technical advisor to enterprise customers throughout their Claude adoption journey, from discovery to initial evaluation through deployment
• Support customers building with both the Claude API and Claude for Work
• Create and deliver compelling technical content tailored to different audiences
• Guide technical architecture decisions and help customers integrate Claude effectively into their existing technology stack
• Help customers develop evaluation frameworks to measure Claude's performance for their specific use cases
• Identify common integration patterns and contribute insights back to our Product and Engineering teams
• Travel occasionally to customer sites for workshops, technical deep dives, and relationship building
• Maintain strong knowledge of the latest developments in LLM capabilities and implementation patterns

You may be a good fit if you have:

• 5+ years of experience in technical customer-facing roles such as Solutions Architect, Sales Engineer, or Technical Account Manager
• Experience working with enterprise customers, navigating complex buying cycles involving multiple stakeholders
• Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders
• Strong technical communication skills with the ability to translate customer requirements between technical and business stakeholders
• Experience designing scalable cloud architectures and integrating with enterprise systems
• Comfortable with Python
• Familiarity with common LLM frameworks and tools or a background in machine learning or data science
• Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities
• A love of teaching, mentoring, and helping others succeed
• Excellent communication and interpersonal skills, able to convey complicated topics in easily understandable terms to a diverse set of external and internal stakeholders
• Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems

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
• Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate
• We encourage you to apply even if you do not believe you meet every single qualification
• Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses

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As an Applied AI team member at Anthropic, you will be a Pre-Sales architect focused on becoming a trusted technical advisor helping federal civilian agencies understand the value of Claude and paint the vision on how they can successfully integrate and deploy Claude into their technology stack.

You'll combine your deep technical expertise with customer-facing skills to architect innovative LLM solutions that address complex mission challenges while maintaining our high standards for safety and reliability.

Working closely with our Sales, Product, and Engineering teams, you'll guide customers from initial technical discovery through successful deployment. You'll leverage your expertise to help customers understand Claude's capabilities, develop evals, and design scalable architectures that maximize the value of our AI systems.

Responsibilities:

• Partner with account executives to deeply understand customer requirements and translate them into technical solutions, ensuring alignment between business objectives and technical implementation
• Serve as the primary technical advisor to enterprise customers throughout their Claude adoption journey, from discovery to initial evaluation through deployment
• Support customers building with Claude Code, the Claude API, and Claude for Enterprise
• Create and deliver compelling technical content tailored to different audiences
• Guide technical architecture decisions and help customers integrate Claude effectively into their existing technology stack
• Help customers develop evaluation frameworks to measure Claude's performance for their specific use cases
• Identify common integration patterns and contribute insights back to our Product and Engineering teams
• Travel frequently to customer sites for workshops, technical deep dives, and relationship building
• Maintain strong knowledge of the latest developments in LLM capabilities and implementation patterns

You may be a good fit if you have:

• Security clearance not required, but a plus
• Must have prior experience working with US federal agencies
• 5+ years of experience in technical customer-facing roles such as Solutions Architect, Sales Engineer, or Technical Account Manager
• Experience navigating complex buying cycles involving multiple stakeholders
• Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders to include C-suite executives, engineering & IT teams, and more
• Strong technical communication skills with the ability to translate customer requirements between technical and business stakeholders
• Experience designing scalable cloud architectures and integrating with enterprise systems
• Familiar with Python
• Familiarity with common LLM frameworks and tools or a background in machine learning or data science
• Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities
• A love of teaching, mentoring, and helping others succeed
• Excellent communication and interpersonal skills, able to convey complicated topics in easily understandable terms to a diverse set of external and internal stakeholders
• Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems

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.

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About the Team

OpenAI’s AI Success Engineer team partners with the world’s most ambitious organisations to translate cutting-edge AI into real business value. We guide customers from first deployment through scaled enterprise adoption. Our work spans technical integration and enablement, workflow transformation, and sustained program and product delivery.

About the Role

The Success Engineer role is the primary post-sales point of contact for a portfolio of education institutions. You are responsible for driving account health and adoption, ensuring technical readiness, identifying high-impact academic and administrative use cases, and delivering measurable value to our education customers using OpenAI’s platform.

This role blends technical leadership, program management, customer advisory, and product influence. You will partner deeply with customer teams, map workflows, lead configuration and enablement, oversee deployment plans, and guide institutions toward high-impact use cases that showcase the full value of our platform.

You will work closely with Sales, Solutions Architecture, Product, and Research to ensure the customer experience is connected and successful across every touchpoint. Success in this role means accelerating adoption, increasing customer activation depth, guiding strategic use cases that get to production, and helping customers demonstrate tangible business impact.

In this role, you will:

• Lead the technical relationship for post-sale customers and act as their trusted advisor on deployment, adoption, and value realization.

• Own account health, adoption velocity, and ongoing technical deployment and success across your portfolio.

• Conduct technical enablement and configuration sessions across our broad product portfolio.

• Identify and validate use cases by embedding with customer teams to understand workflows and pain points.

• Lead account level coordination across multiple workstreams, including new product activation, change management, and customer rollout and deployment planning.

• Build strong relationships with provosts, CIOs, IT leaders, academic, and technical stakeholders and help align institutional goals with OpenAI capabilities.

• Translate customer objectives into an actionable adoption roadmap with clear sequencing, milestones, and KPIs.

• Partner with Solutions Architecture, Product, Engineering and Research by surfacing customer feedback, field patterns, and technical blockers and act as a cross-functional navigator who keeps teams aligned, informed, and moving toward customer outcomes.

• Guide value realization through student, faculty, and institutional outcomes such as engagement, research productivity, operational efficiency, and learning impact, supported by baselines and reporting.

• Facilitate workshops for faculty, staff, and administrators on use case design, adoption best practices, champion building, and institution-wide enablement.

• Help drive expansions by identifying high-leverage opportunities where OpenAI’s platform can power new workflows or lines of business.

• Serve as the technical advisor for existing customer implementations by guiding and optimizing account setup, configuration, etc.

You’ll thrive in this role if you:

• 8+ years of experience in technical customer-facing roles such as technical account management, technical GenAI consulting, solutions architecture, technical delivery leadership, or deep technical enterprise SaaS adoption work.

• Experience working with education institutions is preferred but not necessary.

• Deep, hands-on knowledge of OpenAI product capabilities, APIs, SDKs, connectors, and common integration patterns and able to explain model behavior, limitations, technical tradeoffs, embeddings, retrieval augmentation, and approaches to fine-tuning or custom model usage.

• Can translate technical concepts into clear business language and help customers understand the strategic impact of AI technologies.

• Are comfortable embedding with customers to map workflows, identify requirements, and diagnose adoption challenges.

• Have excellent project and program management instincts and can lead multi-workstream initiatives with clarity and structure.

• Enjoy being a thought partner for executive-level stakeholders while also diving deep with technical teams.

• Operate with high ownership and can manage fast decision-making, context switching, and dynamic customer needs.

• Have a strong record of driving technical deployments with hands-on customer work and owning impactful adoption and value for large institutions with complex environments and multiple stakeholders.

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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About the Team

OpenAI’s AI Success Engineer team partners with the world’s most ambitious organisations to translate cutting-edge AI into real business value. We guide customers from first deployment through scaled enterprise adoption. Our work spans technical integration and enablement, workflow transformation, and sustained program and product delivery.

About the Role

The AI Success Engineer role is the primary post-sales point of contact for OpenAI’s most important customers. You are responsible for driving account health and adoption, ensuring technical readiness, identifying new use cases, and delivering measurable value to our customers with OpenAI’s ambitiously growing platform.

This role blends technical depth, program management, customer advisory, and product influence. You will partner deeply with customer teams, map workflows, lead configuration, oversee deployment plans, and guide customers toward high-impact use cases that showcase the full value of our platform.

In this role, you will:

• Lead the technical relationship for post-sale customers and act as their trusted advisor on deployment, adoption, and value realisation

• Own account health, adoption velocity, and ongoing technical deployment and success across your portfolio

• Be an expert in all of OpenAI products across our API and agentic platform, Codex, ChatGPT Enterprise, and more and conduct technical enablement and configuration sessions across them

• Identify and validate use cases by embedding with customer teams to understand workflows and pain points

• Lead account level coordination across multiple workstreams, including new product activation, change management, and customer rollout and deployment planning

• Build strong relationships with executive sponsors and technical stakeholders and help align business goals with OpenAI capabilities

• Translate customer objectives into an actionable adoption roadmap with clear sequencing, milestones, and KPIs

• Partner with Solutions Architecture, Product, Engineering and Research by surfacing customer feedback, field patterns, and technical blockers and act as a cross-functional navigator who keeps teams aligned, informed, and moving toward customer outcomes

• Guide value realisation and measure impact through baselines, KPI definition, and post-deployment reporting

• Facilitate workshops on use case design, adoption best practices, champion building, and internal enablement

• Help drive expansions by identifying high-leverage opportunities where OpenAI’s platform can power new workflows or lines of business

• Serve as the technical advisor for existing customer implementations by guiding and optimising account setup, configuration, etc.

You’ll thrive in this role if you:

• 8+ years of experience in technical customer-facing roles such as technical account management, technical GenAI consulting or deployment roles, solutions architecture, technical delivery leadership, customer architecture or engineering, or other deep technical enterprise adoption work

• Deep, hands-on operational knowledge of OpenAI product capabilities, APIs, SDKs, connectors, and common integration patterns and able to explain model behaviour, limitations, techn

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AI Success Engineer - NYC

Location

New York City

Employment Type

Full time

Location Type

Hybrid

Department

Compensation

• $162K – $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’s AI Success Engineer team partners with the world’s most ambitious organisations to translate cutting-edge AI into real business value. We guide customers from first deployment through scaled enterprise adoption. Our work spans technical integration and enablement, workflow transformation, and sustained program and product delivery.

Our customers range from fast-growing digital natives to the largest global enterprises, government agencies, and educational institutions. Every engagement is an opportunity to shape how AI changes work, productivity, and innovation. This role sits at the centre of that mission.

About the Role

The AI Success Engineer role is the primary post-sales point of contact for OpenAI’s most important customers. You are responsible for driving account health and adoption, ensuring technical readiness, identifying new use cases, and delivering measurable value to our customers with OpenAI’s ambitiously growing platform.

This role blends technical depth, program management, customer advisory, and product influence. You will partner deeply with customer teams, map workflows, lead configuration, oversee deployment plans, and guide customers toward high-impact use cases that showcase the full value of our platform.

You will work closely with Sales, Solutions Architecture, Product, and Research to ensure the customer experience is connected and successful across every touchpoint. Success in this role means accelerating adoption, increasing customer activation depth, guiding strategic use cases that get to production, and helping customers demonstrate tangible business impact.

This role is based in NYC (office 3x a week) and we provide relocation support to new employees.

In this role, you will:

• Lead the technical relationship for post-sale customers and act as their trusted advisor on deployment, adoption, and value realisation

• Own account health, adoption velocity, and ongoing technical deployment and success across your portfolio

• Be an expert in all of OpenAI products across our API and agentic platform, Codex, ChatGPT Enterprise, and more and conduct technical enablement and configuration sessions across them

• Identify and validate use cases by embedding with customer teams to understand workflows and pain points

• Lead account-level coordination across multiple workstreams, including new product activation, change management, and customer rollout and deployment planning

• Build strong relationships with executive sponsors and technical stakeholders and help align business goals with OpenAI capabilities

• Translate customer objectives into an actionable adoption roadmap with clear sequencing, milestones, and KPIs

• Partner with Solutions Architecture, Product, Engineering and Research by surfacing customer feedback, field patterns, and technical blockers and act as a cross-functional navigator who keeps teams aligned, informed, and moving toward customer outcomes

• Guide value realisation and measure impact through baselines, KPI definition, and post-deployment reporting

• Facilitate workshops on use case design, adoption best practices, champion building, and internal enablement

• Help drive expansions by identifying high-leverage opportunities where OpenAI’s platform can power new workflows or lines of business

• Serve as the technical advisor for existing customer implementations by guiding and optimising account setup, configuration, etc.

You’ll thrive in this role if you:

• 8+ years of experience in technical customer-facing roles such as technical account management, technical GenAI consulting or deployment roles, solutions architecture, technical delivery leadership, customer architecture or engineering, or other deep technical enterprise adoption work

• Deep, hands-on knowledge of OpenAI product capabilities, APIs, SDKs, connectors,

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Location

San Francisco

Employment Type

Full time

Department

Compensation

• $162K – $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.

About the Team

OpenAI’s AI Success Engineer team partners with the world’s most ambitious organisations to translate cutting-edge AI into real business value. We guide customers from first deployment through scaled enterprise adoption. Our work spans technical integration and enablement, workflow transformation, and sustained program and product delivery.

Our customers range from fast-growing digital natives to the largest global enterprises, government agencies, and educational institutions. Every engagement is an opportunity to shape how AI changes work, productivity, and innovation. This role sits at the centre of that mission.

About the Role

The AI Success Engineer role is the primary post-sales point of contact for OpenAI’s most important customers. You are responsible for driving account health and adoption, ensuring technical readiness, identifying new use cases, and delivering measurable value to our customers with OpenAI’s ambitiously growing platform.

This role blends technical depth, program management, customer advisory, and product influence. You will partner deeply with customer teams, map workflows, lead configuration, oversee deployment plans, and guide customers toward high-impact use cases that showcase the full value of our platform.

You will work closely with Sales, Solutions Architecture, Product, and Research to ensure the customer experience is connected and successful across every touchpoint. Success in this role means accelerating adoption, increasing customer activation depth, guiding strategic use cases that get to production, and helping customers demonstrate tangible business impact.

In this role, you will:

• Lead the technical relationship for post-sale customers and act as their trusted advisor on deployment, adoption, and value realisation

• Own account health, adoption velocity, and ongoing technical deployment and success across your portfolio

• Be an expert in all of OpenAI products across our API and agentic platform, Codex, ChatGPT Enterprise, and more and conduct technical enablement and configuration sessions across them

• Identify and validate use cases by embedding with customer teams to understand workflows and pain points

• Lead account-level coordination across multiple workstreams, including new product activation, change management, and customer rollout and deployment planning

• Build strong relationships with executive sponsors and technical stakeholders and help align business goals with OpenAI capabilities

• Translate customer objectives into an actionable adoption roadmap with clear sequencing, milestones, and KPIs

• Partner with Solutions Architecture, Product, Engineering and Research by surfacing customer feedback, field patterns, and technical blockers and act as a cross-functional navigator who keeps teams aligned, informed, and moving toward customer outcomes

• Guide value realisation and measure impact through baselines, KPI definition, and post-deployment reporting

• Facilitate workshops on use case design, adoption best practices, champion building, and internal enablement

• Help drive expansions by identifying high-leverage opportunities where OpenAI’s platform can power new workflows or lines of business

• Serve as the technical advisor for existing customer implementations by guiding and optimising account setup, configuration, etc.

You’ll thrive in this role if you:

• 8+ years of experience in technical customer-facing roles such as technical account management, technical GenAI consulting or deployment roles, solutions architecture, technical delivery leadership, customer architecture or engineering, or other deep technical enterprise adoption work

• Deep, hands-on knowledge of OpenAI product capabilities, APIs, SDKs, connectors, and co

XML job scraping automation by YubHub

About the Team

OpenAI’s AI Success Engineer team partners with the world’s most ambitious organisations to translate cutting-edge AI into real business value. We guide customers from first deployment through scaled enterprise adoption. Our work spans technical integration and enablement, workflow transformation, and sustained program and product delivery.

About the Role

The Success Engineer role is the primary post-sales point of contact for a set of OpenAI’s most important customers. You are responsible for driving account health and adoption, ensuring technical readiness, identifying new use cases, and delivering measurable value to our customers with OpenAI’s platform.

This role blends technical leadership, program management, customer advisory, and product influence. You will partner deeply with customer teams, map workflows, lead configuration and enablement, oversee deployment plans, and guide customers toward high-impact use cases that showcase the full value of our platform.

You will work closely with Sales, Solutions Architecture, Product, and Research to ensure the customer experience is connected and successful across every touchpoint. Success in this role means accelerating adoption, increasing customer activation depth, guiding strategic use cases that get to production, and helping customers demonstrate tangible business impact.

In this role, you will:

• Lead the technical relationship for post-sale customers and act as their trusted advisor on deployment, adoption, and value realization

• Own account health, adoption velocity, and ongoing technical deployment and success across your portfolio

• Conduct technical enablement and configuration sessions across our broad product portfolio

• Identify and validate use cases by embedding with customer teams to understand workflows and pain points

• Lead account level coordination across multiple workstreams, including new product activation, change management, and customer rollout and deployment planning

• Build strong relationships with executive sponsors and technical stakeholders and help align business goals with OpenAI capabilities

• Translate customer objectives into an actionable adoption roadmap with clear sequencing, milestones, and KPIs

• Partner with Solutions Architecture, Product, Engineering and Research by surfacing customer feedback, field patterns, and technical blockers and act as a cross-functional navigator who keeps teams aligned, informed, and moving toward customer outcomes

• Guide value realization and measure impact through baselines, KPI definition, and post-deployment reporting

• Facilitate workshops on use case design, adoption best practices, champion building, and internal enablement

• Help drive expansions by identifying high-leverage opportunities where OpenAI’s platform can power new workflows or lines of business

• Serve as the technical advisor for existing customer implementations by guiding and optimizing account setup, configuration, etc.

You’ll thrive in this role if you:

• 8+ years of experience in technical customer-facing roles such as technical account management, technical GenAI consulting or deployment roles, solutions architecture, technical delivery leadership, or deep technical enterprise adoption work

• Deep, hands-on knowledge of OpenAI product capabilities, APIs, SDKs, connectors, and common integration patterns and able to explain model behavior, limitations, technical tradeoffs, embeddings, retrieval augmentation, and approaches to fine-tuning or custom model usage

• Can translate technical concepts into clear business language and help customers understand the strategic impact of AI technologies

• Are comfortable embedding with customers to map workflows, identify requirements, and diagnose adoption challenges

• Have excellent project and program management instincts and can lead multi-workstream initiatives with clarity and structure

• Enjoy being a thought partner for C-level stakeholders while also diving deep with technical teams

• Operate with high ownership and can manage fast decision making, context switching, and dynamic customer needs

• Have a strong record of driving technical deployments with hands-on on customer work and owning impactful adoption and value for large enterprise customers with complex environments and multiple stakeholders

About OpenAI

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

XML job scraping automation by YubHub

About the Team

OpenAI’s AI Success Engineer team partners with the world’s most ambitious organisations to translate cutting-edge AI into real business value. We guide customers from first deployment through scaled enterprise adoption. Our work spans technical integration and enablement, workflow transformation, and sustained program and product delivery.

About the Role

The Success Engineer role is the primary post-sales point of contact for a set of OpenAI’s most important customers. You are responsible for driving account health and adoption, ensuring technical readiness, identifying new use cases, and delivering measurable value to our customers with OpenAI’s platform.

This role blends technical leadership, program management, customer advisory, and product influence. You will partner deeply with customer teams, map workflows, lead configuration and enablement, oversee deployment plans, and guide customers toward high-impact use cases that showcase the full value of our platform.

You will work closely with Sales, Solutions Architecture, Product, and Research to ensure the customer experience is connected and successful across every touchpoint. Success in this role means accelerating adoption, increasing customer activation depth, guiding strategic use cases that get to production, and helping customers demonstrate tangible business impact.

In this role, you will:

• Lead the technical relationship for post-sale customers and act as their trusted advisor on deployment, adoption, and value realization

• Own account health, adoption velocity, and ongoing technical deployment and success across your portfolio

• Conduct technical enablement and configuration sessions across our broad product portfolio

• Identify and validate use cases by embedding with customer teams to understand workflows and pain points

• Lead account level coordination across multiple workstreams, including new product activation, change management, and customer rollout and deployment planning

• Build strong relationships with executive sponsors and technical stakeholders and help align business goals with OpenAI capabilities

• Translate customer objectives into an actionable adoption roadmap with clear sequencing, milestones, and KPIs

• Partner with Solutions Architecture, Product, Engineering and Research by surfacing customer feedback, field patterns, and technical blockers and act as a cross-functional navigator who keeps teams aligned, informed, and moving toward customer outcomes

• Guide value realization and measure impact through baselines, KPI definition, and post-deployment reporting

• Facilitate workshops on use case design, adoption best practices, champion building, and internal enablement

• Help drive expansions by identifying high-leverage opportunities where OpenAI’s platform can power new workflows or lines of business

• Serve as the technical advisor for existing customer implementations by guiding and optimizing account setup, configuration, etc.

You’ll thrive in this role if you:

• 8+ years of experience in technical customer-facing roles such as technical account management, technical GenAI consulting or deployment roles, solutions architecture, technical delivery leadership, or deep technical enterprise adoption work

• Deep, hands-on knowledge of OpenAI product capabilities, APIs, SDKs, connectors, and common integration patterns and able to explain model behavior, limitations, technical tradeoffs, embeddings, retrieval augmentation, and approaches to fine-tuning or custom model usage

• Can translate technical concepts into clear business language and help customers understand the strategic impact of AI technologies

• Are comfortable embedding with customers to map workflows, identify requirements, and diagnose adoption challenges

• Have excellent project and program management instincts and can lead multi-workstream initiatives with clarity and structure

• Enjoy being a thought partner for C-level stakeholders while also diving deep with technical teams

• Operate with high ownership and can manage fast decision making, context switching, and dynamic customer needs

• Have a strong record of driving technical deployments with hands-on on customer work and owning impactful adoption and value for large enterprise customers with complex environments and multiple stakeholders

About OpenAI

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

XML job scraping automation by YubHub

About the Team

OpenAI’s AI Success Engineer team partners with the world’s most ambitious organisations to translate cutting-edge AI into real business value. We guide customers from first deployment through scaled enterprise adoption. Our work spans technical integration and enablement, workflow transformation, and sustained program and product delivery.

About the Role

The Success Engineer role is the primary post-sales point of contact for a set of OpenAI’s most important customers. You are responsible for driving account health and adoption, ensuring technical readiness, identifying new use cases, and delivering measurable value to our customers with OpenAI’s platform.

This role blends technical leadership, program management, customer advisory, and product influence. You will partner deeply with customer teams, map workflows, lead configuration and enablement, oversee deployment plans, and guide customers toward high-impact use cases that showcase the full value of our platform.

You will work closely with Sales, Solutions Architecture, Product, and Research to ensure the customer experience is connected and successful across every touchpoint. Success in this role means accelerating adoption, increasing customer activation depth, guiding strategic use cases that get to production, and helping customers demonstrate tangible business impact.

This role can be based in Delhi, Mumbai, or Bengaluru.

In this role, you will:

• Lead the technical relationship for post-sale customers and act as their trusted advisor on deployment, adoption, and value realization

• Own account health, adoption velocity, and ongoing technical deployment and success across your portfolio

• Conduct technical enablement and configuration sessions across our broad product portfolio

• Identify and validate use cases by embedding with customer teams to understand workflows and pain points

• Lead account-level coordination across multiple workstreams, including new product activation, change management, and customer rollout and deployment planning

• Build strong relationships with executive sponsors and technical stakeholders and help align business goals with OpenAI capabilities

• Translate customer objectives into an actionable adoption roadmap with clear sequencing, milestones, and KPIs

• Partner with Solutions Architecture, Product, Engineering, and Research by surfacing customer feedback, field patterns, and technical blockers and act as a cross-functional navigator who keeps teams aligned, informed, and moving toward customer outcomes

• Guide value realization and measure impact through baselines, KPI definition, and post-deployment reporting

• Facilitate workshops on use case design, adoption best practices, champion building, and internal enablement

• Help drive expansions by identifying high-leverage opportunities where OpenAI’s platform can power new workflows or lines of business

• Serve as the technical advisor for existing customer implementations by guiding and optimizing account setup, configuration, etc.

You’ll thrive in this role if you:

• 8+ years of experience in technical customer-facing roles such as technical account management, technical GenAI consulting, solutions architecture, technical delivery leadership, or deep technical enterprise SaaS adoption work

• Deep, hands-on knowledge of OpenAI product capabilities, APIs, SDKs, connectors, and common integration patterns and able to explain model behavior, limitations, technical tradeoffs, embeddings, retrieval augmentation, and approaches to fine-tuning or custom model usage

• Can translate technical concepts into clear business language and help customers understand the strategic impact of AI technologies

• Are comfortable embedding with customers to map workflows, identify requirements, and diagnose adoption challenges

• Have excellent project and program management instincts and can lead multi-workstream initiatives with clarity and structure

• Enjoy being a thought partner for C-level stakeholders while also diving deep with technical teams

• Operate with high ownership and can manage fast decision making, context switching, and dynamic customer needs

• Have a strong record of driving technical deployments with hands-on on customer work and owning impactful adoption and value for large enterprise customers with complex environments and multiple stakeholders

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

Munich, Germany; Dublin, Ireland

Employment Type

Full time

Location Type

Hybrid

Department

About the role

We are looking for a Partner AI Deployment Engineer (ADE) to own OpenAI’s senior technical engagement with McKinsey, BCG, and Bain globally. This role is the primary technical point of contact for MBB advisory partners on complex enterprise proposals and transformation programmes, ensuring that OpenAI’s platform is positioned, architected, and deployed to support board-level AI agendas.

The role sits at the intersection of strategy, architecture, and execution. You will work directly with MBB partners and principals to translate executive ambition into scalable, production-ready AI programmes built on the OpenAI platform. You will operate across multiple industries and engagements, shaping solution direction, guiding architectural decisions, and orchestrating delivery across OpenAI and partner teams.

This role is based in Munich or Dublin. 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:

Act as the senior technical lead for McKinsey, BCG, and Bain across priority enterprise pursuits and transformation programmes.

• Serve as the primary technical counterpart to MBB Partners and Principals during proposal development and client engagements.

• Translate board-level AI strategies into executable technical architectures, delivery plans, and platform roadmaps.

• Provide architectural leadership across multiple concurrent programmes, ensuring consistency, quality, and alignment with OpenAI standards.

• Orchestrate ADEs and Forward Deployed Engineers (FDEs) across MBB-led engagements, engaging the right expertise at each phase.

• Guide partners and customers through critical decisions on platform design, scalability, governance, safety, and reliability.

• Support the development of repeatable industry solutions and transformation patterns built on the OpenAI platform.

• Act as a technical escalation point during complex or high-risk phases of delivery to reduce execution risk.

• Represent MBB partners internally, synthesising insights from large-scale programmes into actionable input for Product and Research teams.

You will thrive in this role if you:

• Have held a highly technical role at McKinsey, BCG, or Bain (e.g., Partner, Principal, Senior Expert, or equivalent) - preferred.

• Have 10+ years of experience in enterprise architecture, AI/ML platforms, solution delivery, or technology strategy.

• Bring a strong combination of deep technical expertise and commercial or advisory experience.

• Have led or supported large-scale enterprise transformation programmes alongside senior client executives.

• Possess industry expertise in at least one of the following: Financial Services; Pharma & Life Sciences; Healthcare; Retail.

• Are comfortable operating in ambiguous environments and balancing strategic intent with delivery constraints.

• Can engage credibly in boardrooms, executive workshops, and deep technical design sessions.

• Take ownership of outcomes and are comfortable leading without direct line authority.

• Bring a collaborative mindset and enjoy working across advisory partners, product teams, and GTM organisations.

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

Remote - US

Employment Type

Full time

Location Type

Remote

Department

Compensation

• $162K – $230K • 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.

About the Team

OpenAI’s AI Success Engineer team partners with the world’s most ambitious organisations to translate cutting-edge AI into real business value. We guide customers from first deployment through scaled enterprise adoption. Our work spans technical integration and enablement, workflow transformation, and sustained program and product delivery.

Our customers range from fast-growing digital natives to the largest global enterprises, government agencies, and educational institutions. Every engagement is an opportunity to shape how AI changes work, productivity, and innovation. This role sits at the centre of that mission.

About the Role

The AI Success Engineer role is the primary post-sales point of contact for OpenAI’s most important customers. You are responsible for driving account health and adoption, ensuring technical readiness, identifying new use cases, and delivering measurable value to our customers with OpenAI’s ambitiously growing platform.

This role blends technical depth, program management, customer advisory, and product influence. You will partner deeply with customer teams, map workflows, lead configuration, oversee deployment plans, and guide customers toward high-impact use cases that showcase the full value of our platform.

You will work closely with Sales, Solutions Architecture, Product, and Research to ensure the customer experience is connected and successful across every touchpoint. Success in this role means accelerating adoption, increasing customer activation depth, guiding strategic use cases that get to production, and helping customers demonstrate tangible business impact.

In this role, you will:

• Lead the technical relationship for post-sale customers and act as their trusted advisor on deployment, adoption, and value realisation

• Own account health, adoption velocity, and ongoing technical deployment and success across your portfolio

• Be an expert in all of OpenAI products across our API and agentic platform, Codex, ChatGPT Enterprise, and more and conduct technical enablement and configuration sessions across them

• Identify and validate use cases by embedding with customer teams to understand workflows and pain points

• Lead account-level coordination across multiple workstreams, including new product activation, change management, and customer rollout and deployment planning

• Build strong relationships with executive sponsors and technical stakeholders and help align business goals with OpenAI capabilities

• Translate customer objectives into an actionable adoption roadmap with clear sequencing, milestones, and KPIs

• Partner with Solutions Architecture, Product, Engineering and Research by surfacing customer feedback, field patterns, and technical blockers and act as a cross-functional navigator who keeps teams aligned, informed, and moving toward customer outcomes

• Guide value realisation and measure impact through baselines, KPI definition, and post-deployment reporting

• Facilitate workshops on use case design, adoption best practices, champion building, and internal enablement

• Help drive expansions by identifying high-leverage opportunities where OpenAI’s platform can power new workflows or lines of business

• Serve as the technical advisor for existing customer implementations by guiding and optimising account setup, configuration, etc.

You’ll thrive in this role if you:

• 8+ years of experience in technical customer-facing roles such as technical account management, technical GenAI consulting or deployment roles, solutions architecture, technical delivery leadership, customer architecture or engineering, or other deep technical enterprise adoption work

• Deep, hands-on knowledge of OpenAI product capabilities, APIs, SDKs, connectors, and common integration patterns and able to explain mo

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About the Team

OpenAI’s AI Success Engineer team partners with the world’s most ambitious organisations to translate cutting-edge AI into real business value. We guide customers from first deployment through scaled enterprise adoption. Our work spans technical integration and enablement, workflow transformation, and sustained program and product delivery.

About the Role

The Success Engineer role is the primary post-sales point of contact for a set of OpenAI’s most important customers. You are responsible for driving account health and adoption, ensuring technical readiness, identifying new use cases, and delivering measurable value to our customers with OpenAI’s platform.

This role blends technical leadership, program management, customer advisory, and product influence. You will partner deeply with customer teams, map workflows, lead configuration and enablement, oversee deployment plans, and guide customers toward high-impact use cases that showcase the full value of our platform.

You will work closely with Sales, Solutions Architecture, Product, and Research to ensure the customer experience is connected and successful across every touchpoint. Success in this role means accelerating adoption, increasing customer activation depth, guiding strategic use cases that get to production, and helping customers demonstrate tangible business impact.

In this role, you will:

• Lead the technical relationship for post-sale customers and act as their trusted advisor on deployment, adoption, and value realization

• Own account health, adoption velocity, and ongoing technical deployment and success across your portfolio

• Conduct technical enablement and configuration sessions across our broad product portfolio

• Identify and validate use cases by embedding with customer teams to understand workflows and pain points

• Lead account level coordination across multiple workstreams, including new product activation, change management, and customer rollout and deployment planning

• Build strong relationships with executive sponsors and technical stakeholders and help align business goals with OpenAI capabilities

• Translate customer objectives into an actionable adoption roadmap with clear sequencing, milestones, and KPIs

• Partner with Solutions Architecture, Product, Engineering and Research by surfacing customer feedback, field patterns, and technical blockers and act as a cross-functional navigator who keeps teams aligned, informed, and moving toward customer outcomes

• Guide value realization and measure impact through baselines, KPI definition, and post-deployment reporting

• Facilitate workshops on use case design, adoption best practices, champion building, and internal enablement

• Help drive expansions by identifying high-leverage opportunities where OpenAI’s platform can power new workflows or lines of business

• Serve as the technical advisor for existing customer implementations by guiding and optimizing account setup, configuration, etc.

You’ll thrive in this role if you:

• 8+ years of experience in technical customer-facing roles such as technical account management, technical GenAI consulting, solutions architecture, technical delivery leadership, or deep technical enterprise SaaS adoption work

• Deep, hands-on knowledge of OpenAI product capabilities, APIs, SDKs, connectors, and common integration patterns and able to explain model behavior, limitations, technical tradeoffs, embeddings, retrieval augmentation, and approaches to fine-tuning or custom model usage

• Can translate technical concepts into clear business language and help customers understand the strategic impact of AI technologies

• Are comfortable embedding with customers to map workflows, identify requirements, and diagnose adoption challenges

• Have excellent project and program management instincts and can lead multi-workstream initiatives with clarity and structure

• Enjoy being a thought partner for C-level stakeholders while also diving deep with technical teams

• Operate with high ownership and can manage fast decision making, context switching, and dynamic customer needs

• Have a strong record of driving technical deployments with hands-on on customer work and owning impactful adoption and value for large enterprise customers with complex environments and multiple stakeholders

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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AI Success Engineer - EDU

Location

San Francisco

Employment Type

Full time

Department

Compensation

• $207K – $230K • 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’s AI Success Engineer team partners with the world’s most ambitious organisations to translate cutting-edge AI into real business value. We guide customers from first deployment through scaled enterprise adoption. Our work spans technical integration and enablement, workflow transformation, and sustained program and product delivery.

Our customers range from fast-growing digital natives to the largest global enterprises, government agencies, and educational institutions. Every engagement is an opportunity to shape how AI changes work, productivity, and innovation. This role sits at the centre of that mission.

About the Role

The Success Engineer role is the primary post-sales point of contact for a portfolio of education institutions. You are responsible for driving account health and adoption, ensuring technical readiness, identifying high-impact academic and administrative use cases, and delivering measurable value to our education customers using OpenAI’s platform.

This role blends technical leadership, program management, customer advisory, and product influence. You will partner deeply with customer teams, map workflows, lead configuration and enablement, oversee deployment plans, and guide institutions toward high-impact use cases that showcase the full value of our platform.

You will work closely with Sales, Solutions Architecture, Product, and Research to ensure the customer experience is connected and successful across every touchpoint. Success in this role means accelerating adoption, increasing customer activation depth, guiding strategic use cases that get to production, and helping customers demonstrate tangible business impact.

This role is based in SF or NYC; we offer relocation benefits to new hires.

In this role, you will:

• Lead the technical relationship for post-sale customers and act as their trusted advisor on deployment, adoption, and value realisation

• Own account health, adoption velocity, and ongoing technical deployment and success across your portfolio

• Conduct technical enablement and configuration sessions across our broad product portfolio

• Identify and validate use cases by embedding with customer teams to understand workflows and pain points

• Lead account-level coordination across multiple workstreams, including new product activation, change management, and customer rollout and deployment planning

• Build strong relationships with provosts, CIOs, IT leaders, academic, and technical stakeholders and help align institutional goals with OpenAI capabilities

• Translate customer objectives into an actionable adoption roadmap with clear sequencing, milestones, and KPIs

• Partner with Solutions Architecture, Product, Engineering, and Research by surfacing customer feedback, field patterns, and technical blockers and act as a cross-functional navigator who keeps teams aligned, informed, and moving toward customer outcomes

• Guide value realisation through student, faculty, and institutional outcomes such as engagement, research productivity, operational efficiency, and learning impact, supported by baselines and reporting

• Facilitate workshops for faculty, staff, and administrators on use case design, adoption best practices, champion building, and institution-wide enablement

• Help drive expansions by identifying high-leverage opportunities where OpenAI’s platform can power new workflows or lines of business

• Serve as the technical advisor for existing customer implementations by guiding and optimising account setup, configuration, etc.

You’ll thrive in this role if you:

• 8+ years of experience in technical customer-facing roles such as technical account management, technical GenAI consulting, solutions architecture, technical delivery leadership, or deep technical enterprise SaaS adoption work

• Experience working with education institutions is preferred but not required

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Microsoft AI are looking for a talented Principal Product Manager at their Hyderabad office. This role sits at the heart of strategic decision-making, turning market data into actionable insights for a company that's revolutionising AI-powered consumer health experiences. You'll work directly with leadership to shape the company's direction in the AI and health markets.

About the Role

This is a rare opportunity for a breadth and depth PM who works across large web scale search products as well as breakthrough Copilot product areas. We are looking for a Principal Product Manager (IC) to drive a core product area within Microsoft’s AI-powered consumer health experiences across Bing and Copilot. This role sits in Hyderabad and operates in a highly collaborative, cross-geo environment with close partners in the UK and US.

Accountabilities

• Own a product area end-to-end, developing deep understanding of user needs and behaviors, defining product strategy and requirements, and driving execution for AI-powered consumer health experiences including AI workflows, Evals etc.
• Translate business objectives into clear product strategy, user experience direction, and technical requirements in close partnership with design, engineering, data science, and AI model teams.

The Candidate we're looking for

Experience:

• 10+ years experience in product management, with deep technical fluency (DS & Engg.)

Technical skills:

• Deep technical fluency in DS & Engg.

Personal attributes:

• Exceptional written and verbal communication skills, with the ability to clearly articulate high altitude strategy as well as lowest level technical details.

Benefits

• Competitive salary and benefits package
• Opportunity to work on cutting-edge AI and health projects
• Collaborative and dynamic work environment
• Professional development opportunities

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What you'll do

• Own and lead all aspects of the tax function at Perplexity, including direct tax (federal, state, and international income tax) and indirect tax (sales & use tax, VAT/GST, digital services taxes).
• Build the tax function from the ground up: establish processes, policies, internal controls, and systems to support a scalable and efficient tax operation.

What you need

• 10+ years of progressive tax experience, including a combination of public accounting (Big 4 preferred) and in-house experience at a high-growth technology company.

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What you'll do

The Senior Solutions Architect, PE Systems & Technology is a senior individual contributor responsible for shaping and advancing EA’s People Experience technology architecture. This role combines deep technical expertise, enterprise solution design, and hands-on execution to modernize and evolve our HR technology ecosystem.

You will operate as a technical thought leader across platforms, drive innovation beyond off-the-shelf capabilities, and architect scalable, AI-enabled solutions across the employee lifecycle. You will influence architectural standards, guide engineering teams through DevOps-driven delivery models, and serve as a role model for technical excellence and innovation

What you need

• Enterprise-level solution architecture expertise, including designing scalable, extensible, and loosely coupled systems that integrate SaaS platforms with custom-built capabilities for People Experience (PE) systems

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