You will manage a growing team of Forward Deployed Engineers working across our most strategic enterprise accounts, own what makes a world-class FDE engagement, and stay close enough to the work to escalate, coach, and course-correct in real time. You will serve as the primary point of contact for customers, owning both project delivery and the day-to-day relationship, while also identifying and scoping new opportunities.

Responsibilities:

• Sell: Own the full arc from technical discovery to executive close , partnering with Sales and Account teams to qualify opportunities, leading architecture reviews, surfacing integration complexity and infrastructure constraints, and scoping engagements with enough precision to de-risk delivery before a line of code is written
• Deliver: Serve as executive technical sponsor on your region's highest-priority engagements and manage stakeholder relationships from IC engineers to C-suite
• Manage People: Lead, develop, and scale a team of 6–8 Forward Deployed Engineers working strategic FDE projects

Requirements:

• 8+ years of experience leading technical teams that build and ship in production , Forward Deployed Engineering, Solutions Engineering, or a similar function where writing and reviewing code is part of the job
• Experience with software development and coding in Python, Javascript/Typescript
• You've built and owned AI-native workflows in production, not just prototypes, and have debugged real-world model failures

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

Following our recent Series E funding round, where we raised $200 million, our valuation stands at $4 billion.

We’re hiring Senior Solutions Engineers to build Synthesia’s presales function in DACH. This is a founding role: you’ll be one of the first SEs, shaping the playbook, tooling and best practices as we scale, not following an established model.

As a Solutions Engineer at Synthesia, you will partner with Account Executives, Customer Success and Product Marketing to run discovery, deliver demos, scope POCs and design the technical solution for each deal.

Sales Cycle Ownership

• Coplan and execute discovery calls to understand customer requirements, their technical environment, and current business challenges.
• Design and deliver compelling demonstrations that solve customer problems, quantify the value of solving those problems, and tell a clear, credible story of how Synthesia solves them better than anything else.
• Understand and overcome technical objections and integration concerns; identify blockers early and develop solution paths with customers.
• Support stakeholder workshops that connect Synthesia to the buyer's broader technology strategy on complex, multi-stakeholder deals.
• Partner with Account Executives to define account and deal strategy, advise on competitive positioning, and provide your assessment of opportunity stage and forecast your book of business to leadership.

Demo Excellence

• Design and execute repeatable Demo methodologies that prove Synthesia’s business value quickly, whether the customer is deploying Studio at scale, designing Roleplay Sessions for skill uplift, or integrating Interactive Avatars into their product.
• Identify, build relationships with, and actively empower executive champions within customer organisations so they can advocate for Synthesia internally.
• Develop and maintain reusable assets across demo environments, use cases, integration templates, objections, and industry playbooks brought to life directly in Synthesia’s platform.
• Support POC and pilot readouts as a business narrative, not a feature tour, learning to bring storytelling and executive presence to the room as you grow into more senior conversations.
• Provide technical guidance on platform capabilities, API and SDK integrations, security, compliance topics (SOC 2, GDPR, enterprise identity), and scalability for global deployments.

Product & Industry Expertise

• Maintain deep expertise on Synthesia's platform capabilities across all product lines, roadmap, and positioning to highlight value driving use cases.
• Specific vertical knowledge, establishing credibility as a subject matter expert within an industry to easily build credibility and trust with executive buyers.
• Share customer and prospect product and competitive feedback to the pre-sales leadership and Product team; flag customer pain points, missing capabilities, and gaps that surface in live deals.
• Stay ahead of the AI-native learning and enablement space, so you can credibly discuss how customers are shifting from current, static methods to interactive practice and measurable skill development.

Ecosystem Collaboration

• Product: share customer and prospect feedback with Product, flagging pain points, missing capabilities, and gaps that surface in your deals to help shape the roadmap.
• Product Marketing: work with Product Marketing to understand and apply messaging and positioning in your deal cycles, and contribute to reusable assets like demo scripts and competitive battlecards.
• Customer Success: brief Customer Success on technical context and champion relationships at handover, so your POCs and pilots convert cleanly into production deployments.
• Enablement: Review and enhance enablement content from what is effective in preparing our team members for client engagements, delivering and evaluating certification as needed to accelerate understanding in the commercial team.

What we are looking for

• We think the ideal candidate for this role will bring 5+ years of pre-sales, solutions engineering, or customer-facing technical experience at SaaS companies.
• Strong consultative discovery, stakeholder management, and communication skills, with the ability to engage credibly with both executive decision-makers (CHRO, CLO, Head of L&D, CTO) and technical audiences (IT, security, developers).
• Technical depth in at least one area: Creation flows, APIs, integrations (LMS, HCM, CRM, identity), security, compliance; willingness to learn quickly across domains.
• Fluency with sales methodologies such as MEDDPICC and Command of the Message. Comfort translating technical requirements into business value and ROI conversations.
• Consultative approach to problem-solving; comfort gathering requirements, asking clarifying questions, and adapting solutions to customer needs.
• Excellent business and technical presentation skills, in person and remote, and the ability to explain complex AI and integration concepts clearly to both technical and non-technical audiences.
• Self-motivated and organised; ability to manage multiple POCs, demos, and customer conversations simultaneously while meeting deadlines.
• Collaborative mindset; thrives working with AEs, Product, Customer Success, and other teams to drive customer and company success.
• Product orientation; genuine curiosity about how customers use technology
• Willing to travel; willingness to visit key customers for discovery, executive conversations, and on-site demos.

XML job scraping automation by YubHub

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

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

We’re hiring Solutions Engineers to build Synthesia’s presales function in DACH. This is a founding role: you’ll be one of the first SEs, shaping the playbook, tooling and best practices as we scale, not following an established model. If you’re someone who is excited by building whilst scaling, we’d love to hear from you.

As a Solutions Engineer at Synthesia, you will partner with Account Executives, Customer Success and Product Marketing to run discovery, deliver demos, scope POCs and design the technical solution for each deal. You will be a trusted advisor focused on the value customers get from Synthesia, and you’ll take what you learn in the field back to Product.

This is an incredible opportunity to join us as we become a multi-product company for the first time, and continue to scale across DACH.

Sales Cycle Ownership & AE Partnership

• Co-plan and support discovery calls with your AE to understand customer requirements, technical environment, and business challenges.
• Deliver demonstrations that speak to customer problems and tell a credible story of why Synthesia is the right solution.
• Identify technical objections and integration questions as they come up, working with your AE and the broader ecosystem to find a path forward.
• Contribute your assessment of technical fit and opportunity risk to help your AE shape account and deal strategy.
• Keep your deal team and manager informed on deal status, timeline, and technical dependencies.

Demo Excellence

• Design and execute repeatable demo methodologies that prove Synthesia's business value quickly, whether the customer is deploying Studio at scale, building Roleplay Sessions for skill uplift, or integrating Interactive Avatars into their product.
• Identify, build relationships with, and actively enable technical champions within customer organizations so they can advocate for Synthesia internally.
• Develop and maintain reusable assets across demo environments, use cases, integration templates, objection handling, and industry playbooks, brought to life directly in Synthesia's platform.
• Provide technical guidance on platform capabilities, API and SDK integrations, security, compliance topics (SOC 2, GDPR, enterprise identity), and scalability for global deployments, troubleshooting issues and validating integrations with LMS, HCM, and content systems as they surface.

Product Expertise

• Build and maintain strong working knowledge of Synthesia's platform capabilities, roadmap, and positioning across all product lines, so you can speak to the use cases that drive value.
• Partner with Enablement to complete certifications, stay current on new releases, and keep your demo and objection-handling skills sharp.
• Stay ahead of the AI-native learning and enablement space, so you can credibly discuss how customers are shifting from static methods to interactive practice and measurable skill development.

Ecosystem Collaboration

• Product: share customer and prospect feedback with Product, flagging pain points, missing capabilities, and gaps that surface in your deals to help shape the roadmap.
• Product Marketing: work with Product Marketing to understand and apply messaging and positioning in your deal cycles, and contribute to reusable assets like demo scripts and competitive battlecards.
• Customer Success: brief Customer Success on technical context and champion relationships at handover, so your POCs and pilots convert cleanly into production deployments.

What We're Looking For

• 2+ years of pre-sales, solutions engineering, or customer-facing technical experience in a SaaS environment (or equivalent technical customer-facing experience).
• Delivers a strong standard demo aligned to the discovery points and agenda set with the AE, with a solid grasp of core demo technique (e.g., Tell-Show-Tell).
• Applies established solution designs and best practices to the customer's use case, working with core ecosystem functions (Product, Customer Success) as the deal requires.
• Identifies and surfaces deal risk and next steps based on what the customer tells you, escalating clearly to your AE so it gets actioned.
• Working knowledge of MEDDPICC and Command of the Message, and can articulate why Synthesia is a fit for the prospect.
• Resourceful: knows how to find the right person or tool internally, and is building their own network across the GTM organization.
• Comfortable with the technical fundamentals in at least one area (creation flows, APIs, integrations, security, compliance) and eager to build depth quickly.
• Self-motivated and organized, able to manage a growing book of POCs, demos, and customer conversations while hitting deadlines.
• Willing to travel for customer discovery and on-site demos as needed.

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As a Senior Customer Engineer, you will work with innovative and cutting-edge companies, specifically startups and high-growth, cloud-native businesses. Your role involves technical discovery, translation, and evangelism, ensuring that customers build on Cloudflare rather than just consume a single service.

Responsibilities:

• Lead technical discovery within the cloud-developer vertical
• Engage early and often with sales-led discovery calls and customer teams
• Identify and map customer initiatives and business problems to the Cloudflare platform
• Build relationships and technical champions within customer accounts
• Develop and present tailored technical content and demos
• Lead demo and proof-of-concept/build activities for Cloudflare prospects and customers
• Evangelize the Cloudflare Developer Platform

Requirements:

• Previous experience as a Solutions Engineer or other customer-facing technical role
• A genuine "builder" mindset and personality
• Ability to speak engineers' language credibly
• Strong technical discovery instincts
• Comfort operating in an agile, fast-moving environment
• Solid communication, written and presentation skills

Desirable Skills:

• Experience with Cloudflare Developer Platform (Workers, Durable Objects, Workers AI, R2, KV, D1, Vectorize, Queues, Pages)
• Understanding of AI/GenAI application patterns
• Knowledge of HTTP technologies, Internet security technologies, networking technologies, and zero-trust network access concepts
• Scripting or programming familiarity with languages like JavaScript/TypeScript, Python, Golang

Benefits:

• Health & Welfare Benefits (Medical/Rx Insurance, Dental Insurance, Vision Insurance, etc.)
• Financial Benefits (Short and Long Term Disability Insurance, Life & Accident Insurance, 401(k) Retirement Savings Plan)
• Time Off (Flexible paid time off, Leave programs)

Salary: $213,500 – $335,500 OTE, Base + Commissions

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

Following our recent Series E funding round, where we raised $200 million, our valuation stands at $4 billion.

We’re hiring a Senior Solutions Engineer to build Synthesia’s presales function in France and Southern EMEA. This is a founding role: you’ll be one of the first SEs, shaping the playbook, tooling and best practices as we scale, not following an established model.

As a Solutions Engineer at Synthesia, you will partner with Account Executives, Customer Success and Product Marketing to run discovery, deliver demos, scope POCs and design the technical solution for each deal. You will be a trusted advisor focused on the value customers get from Synthesia, and you’ll take what you learn in the field back to Product.

Sales Cycle Ownership

• Coplan and execute discovery calls to understand customer requirements, their technical environment, and current business challenges.
• Design and deliver compelling demonstrations that solve customer problems, quantify the value of solving those problems, and tell a clear, credible story of how Synthesia solves them better than anything else.
• Understand and overcome technical objections and integration concerns; identify blockers early and develop solution paths with customers.
• Support stakeholder workshops that connect Synthesia to the buyer's broader technology strategy on complex, multi-stakeholder deals.
• Partner with Account Executives to define account and deal strategy, advise on competitive positioning, and provide your assessment of opportunity stage and forecast your book of business to leadership.

Demo Excellence

• Design and execute repeatable Demo methodologies that prove Synthesia’s business value quickly, whether the customer is deploying Studio at scale, designing Roleplay Sessions for skill uplift, or integrating Interactive Avatars into their product.
• Identify, build relationships with, and actively empower executive champions within customer organisations so they can advocate for Synthesia internally.
• Develop and maintain reusable assets across demo environments, use cases, integration templates, objections, and industry playbooks brought to life directly in Synthesia’s platform.
• Support POC and pilot readouts as a business narrative, not a feature tour, learning to bring storytelling and executive presence to the room as you grow into more senior conversations.
• Provide technical guidance on platform capabilities, API and SDK integrations, security, compliance topics (SOC 2, GDPR, enterprise identity), and scalability for global deployments.

Product & Industry Expertise

• Maintain deep expertise on Synthesia's platform capabilities across all product lines, roadmap, and positioning to highlight value driving use cases.
• Specific vertical knowledge, establishing credibility as a subject matter expert within an industry to easily build credibility and trust with executive buyers.
• Share customer and prospect product and competitive feedback to the pre-sales leadership and Product team; flag customer pain points, missing capabilities, and gaps that surface in live deals.
• Stay ahead of the AI-native learning and enablement space, so you can credibly discuss how customers are shifting from current, static methods to interactive practice and measurable skill development.

Ecosystem Collaboration

• Product: share customer and prospect feedback with Product, flagging pain points, missing capabilities, and gaps that surface in your deals to help shape the roadmap.
• Product Marketing: work with Product Marketing to understand and apply messaging and positioning in your deal cycles, and contribute to reusable assets like demo scripts and competitive battlecards.
• Customer Success: brief Customer Success on technical context and champion relationships at handover, so your POCs and pilots convert cleanly into production deployments.
• Enablement: Review and enhance enablement content from what is effective in preparing our team members for client engagements, delivering and evaluating certification as needed to accelerate understanding in the commercial team.

What we are looking for

• We think the ideal candidate for this role will bring 5+ years of pre-sales, solutions engineering, or customer-facing technical experience at SaaS companies.
• Strong consultative discovery, stakeholder management, and communication skills, with the ability to engage credibly with both executive decision-makers (CHRO, CLO, Head of L&D, CTO) and technical audiences (IT, security, developers).
• Technical depth in at least one area: Creation flows, APIs, integrations (LMS, HCM, CRM, identity), security, compliance; willingness to learn quickly across domains.
• Fluency with sales methodologies such as MEDDPICC and Command of the Message. Comfort translating technical requirements into business value and ROI conversations.
• Consultative approach to problem-solving; comfort gathering requirements, asking clarifying questions, and adapting solutions to customer needs.
• Excellent business and technical presentation skills, in person and remote, and the ability to explain complex AI and integration concepts clearly to both technical and non-technical audiences.
• Self-motivated and organised; ability to manage multiple POCs, demos, and customer conversations simultaneously while meeting deadlines.
• Collaborative mindset; thrives working with AEs, Product, Customer Success, and other teams to drive customer and company success.
• Product orientation; genuine curiosity about how customers use technology
• Willing to travel; willingness to visit key customers for discovery, executive conversations, and on-site demos.

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As a Senior Solutions Engineer Specialist, you will be a pivotal technical expert and strategic advisor, focusing on the Cloudflare One product suite. You will partner with our sales team and engage directly with our customers to architect and demonstrate how our SASE platform can solve their unique security, performance, and reliability needs.

Responsibilities

• Serve as a trusted technical advisor to our customers, helping them architect the optimal solution for their business needs using the Cloudflare One product suite.
• Stay at the forefront of AI-era security challenges by developing expertise in how enterprises govern and secure AI tool adoption, including Shadow AI visibility, data loss prevention for AI applications, MCP server access controls and Agentic AI Governance.
• Guide qualified prospects through the solution design and proof-of-value stages, effectively demonstrating the key capabilities and value of the Cloudflare One portfolio.
• Collaborate with sales partners to consistently achieve pipeline generation and revenue goals.
• Analyze customer IT landscapes and security requirements to develop robust architectures that support their strategic objectives.
• Clearly articulate the benefits and technical differentiators of the Cloudflare One product portfolio against competing solutions.
• Enhance customer retention by identifying, capturing, and communicating product gaps or feature requests to internal product and engineering teams.
• Collaborate with Product Teams by being the voice of our customers by sharing insights, trends, and product gaps to help shape the product suite and solution roadmap.

Qualifications

• 5+ years of experience in a customer-facing technical role such as Technical Sales, Solutions/Systems Engineering, or a related field.
• Active adoption of the use of AI tools in professional day to day workflows and knowledge on AI security concepts relevant to enterprise customers: Securing employee AI tool usage, Governing AI application access, and understanding the data leakage risks posed by generative AI tools.
• Demonstrated experience presenting technical solutions and communicating the value of network and security transformation to senior-level executives.
• Deep understanding of the modern cybersecurity landscape, including common threats (e.g., malware, ransomware, phishing, botnets) and mitigation strategies.
• Fundamental knowledge of customer network and application architectures, including hybrid environments leveraging public clouds (Azure, AWS, GCP).
• Solid grasp of SASE concepts and Zero Trust networking architectures.
• Hands-on experience with one or more of the following: Secure Web Gateway (SWG), CASB, DLP, DNS security (including DNS over HTTPS), Identity Provider (IdP) integration (SAML, OTP), and SIEM/log analytics platforms.

Compensation

• For Germany based hires: Estimated annual salary is between €116,000 - €165,000.

Equity

• This role is eligible to participate in Cloudflare's equity plan.

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

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

We're seeking talented Solutions Engineers to partner with the full Go To Market team of Account Executives, Customer Success Managers, and Product Marketing as we rapidly expand our product portfolio. You'll be the connective tissue between these organizations who bring Synthesia to life for our prospects, customers, and partners, articulating the daily value delivered by our platform.

This is a founding role. You'll be one of the first Solutions Engineers building the presales function at Synthesia. That means shaping the playbook, the tooling, and the best practices as we scale, not simply executing steps handed to you from an already established operating model. We're looking for people who want to build something.

The Role

As a Solutions Engineer, you'll partner with Account Executives and Customer Success Managers to build relationships with prospects and customers throughout the sales and renewal cycle. You'll run discovery conversations, deliver demonstrations, support POC scoping, and help design the technical solution for each engagement, working alongside more senior SEs as you build toward full ownership of your own deals. You'll act as a trusted advisor focused on how to make our clients' lives better when using Synthesia, and you'll bring feedback from your customer conversations back to Customer Success and Product.

Sales Cycle Ownership & AE Partnership

• Co-plan and support discovery calls with your AE to understand customer requirements, technical environment, and business challenges.
• Deliver demonstrations that speak to customer problems and tell a credible story of why Synthesia is the right solution.
• Identify technical objections and integration questions as they come up, working with your AE and the broader ecosystem to find a path forward.
• Contribute your assessment of technical fit and opportunity risk to help your AE shape account and deal strategy.
• Keep your deal team and manager informed on deal status, timeline, and technical dependencies.

Demo Excellence

• Design and execute repeatable demo methodologies that prove Synthesia's business value quickly, whether the customer is deploying Studio at scale, building Roleplay Sessions for skill uplift, or integrating Interactive Avatars into their product.
• Identify, build relationships with, and actively enable technical champions within customer organizations so they can advocate for Synthesia internally.
• Develop and maintain reusable assets across demo environments, use cases, integration templates, objection handling, and industry playbooks, brought to life directly in Synthesia's platform.
• Provide technical guidance on platform capabilities, API and SDK integrations, security, compliance topics (SOC 2, GDPR, enterprise identity), and scalability for global deployments, troubleshooting issues and validating integrations with LMS, HCM, and content systems as they surface.

Product Expertise

• Build and maintain strong working knowledge of Synthesia's platform capabilities, roadmap, and positioning across all product lines, so you can speak to the use cases that drive value.
• Partner with Enablement to complete certifications, stay current on new releases, and keep your demo and objection-handling skills sharp.
• Stay ahead of the AI-native learning and enablement space, so you can credibly discuss how customers are shifting from static methods to interactive practice and measurable skill development.

Ecosystem Collaboration

• Product: share customer and prospect feedback with Product, flagging pain points, missing capabilities, and gaps that surface in your deals to help shape the roadmap.
• Product Marketing: work with Product Marketing to understand and apply messaging and positioning in your deal cycles, and contribute to reusable assets like demo scripts and competitive battlecards.
• Customer Success: brief Customer Success on technical context and champion relationships at handover, so your POCs and pilots convert cleanly into production deployments.

What We're Looking For

• 2+ years of pre-sales, solutions engineering, or customer-facing technical experience in a SaaS environment (or equivalent technical customer-facing experience).
• Delivers a strong standard demo aligned to the discovery points and agenda set with the AE, with a solid grasp of core demo technique (e.g., Tell-Show-Tell).
• Applies established solution designs and best practices to the customer's use case, working with core ecosystem functions (Product, Customer Success) as the deal requires.
• Identifies and surfaces deal risk and next steps based on what the customer tells you, escalating clearly to your AE so it gets actioned.
• Working knowledge of MEDDPICC and Command of the Message, and can articulate why Synthesia is a fit for the prospect.
• Resourceful: knows how to find the right person or tool internally, and is building their own network across the GTM organization.
• Comfortable with the technical fundamentals in at least one area (creation flows, APIs, integrations, security, compliance) and eager to build depth quickly.
• Self-motivated and organized, able to manage a growing book of POCs, demos, and customer conversations while hitting deadlines.
• Willing to travel for customer discovery and on-site demos as needed.

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As a Developer Success Engineer, you'll work directly with developers who want to learn how Stytch works, help them design an implementation, and answer any questions they have along the way. You'll also serve as the voice of the customer within Stytch and close the feedback loop by ensuring their insights make it back to our Product, Design, and Engineering teams.

Responsibilities:

• Build new features and fix bugs in Stytch and Twilio products.
• Serve as a technical resource for customers when they have questions about our product.
• Improve documentation and processes for internal and external stakeholders.

Qualifications:

• A genuine drive to understand customer needs and concerns.
• Troubleshooting , Deep curiosity, grit, and tenacity to dig into tough technical issues and track down root causes.
• Hands-on programming experience in a major language, with 2+ years writing code to build, debug, or automate, in a support, solutions, or software engineering role.
• Ability to debug others' code and ship small, well-tested fixes in an existing codebase.
• Familiarity with modern web services and APIs.
• Demonstrated ability to communicate credibly and effectively at all levels.

Desired qualifications:

• Experience with authentication protocols (SAML/OAuth), MFA, IdP.
• Prior experience in a customer-facing technical role, such as technical support, solutions engineering, field engineering, etc.
• Direct experience working on a dedicated software development or product team.

Location: This role will be remote and based in East Coast time zone only.

Compensation: The estimated pay ranges for this role are as follows:

• Based in Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, Vermont or Washington D.C.: $116,960 - $146,200
• Based in New York, New Jersey, Washington State, or California (outside of the San Francisco Bay area): $123,760 - $154,700
• Based in the San Francisco Bay area, California: $137,520 - $171,900

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As a Developer Success Engineer, you'll work directly with developers who want to learn how Stytch works, help them design an implementation, and answer any questions they have along the way. You'll also serve as the voice of the customer within Stytch and close the feedback loop by ensuring their insights make it back to our Product, Design, and Engineering teams.

Responsibilities:

• Build new features and fix bugs in Stytch and Twilio products.
• Serve as a technical resource for customers when they have questions about our product.
• Improve documentation and processes for internal and external stakeholders.

Qualifications:

• A genuine drive to understand customer needs and concerns.
• Troubleshooting , Deep curiosity, grit, and tenacity to dig into tough technical issues and track down root causes.
• Hands-on programming experience in a major language, with 2+ years writing code to build, debug, or automate, in a support, solutions, or software engineering role.
• Ability to debug others' code and ship small, well-tested fixes in an existing codebase.
• Familiarity with modern web services and APIs.
• Demonstrated ability to communicate credibly and effectively at all levels.

Desired qualifications:

• Experience with authentication protocols (SAML/OAuth), MFA, IdP.
• Prior experience in a customer-facing technical role, such as technical support, solutions engineering, field engineering, etc.
• Direct experience working on a dedicated software development or product team.

Location: Remote - US (East Coast time zone)

Compensation: The estimated pay ranges for this role are as follows:

• Based in Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, Vermont or Washington D.C.: $116,960 - $146,200
• Based in New York, New Jersey, Washington State, or California (outside of the San Francisco Bay area): $123,760 - $154,700
• Based in the San Francisco Bay area, California: $137,520 - $171,900

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You will own the strategy and execution of technical content in written and video form, demos, workshops, launch storytelling, and outbound evangelism that drives technical mindshare, consideration, product adoption, and ultimately pipeline.

Your team will increasingly produce content designed to educate both humans and agents alike.

You will also play an outsized role in programming the technical content for key Databricks events, such as the Data + AI Summit and Data + AI World Tour.

Reporting to the SVP of Product & Solutions Marketing, you will manage a team of 6+ Technical Marketing Managers and serve as the connective tissue between Product, Product Marketing, Field Engineering, and the broader technical community.

The impact you will have:

First 6 months:

• Assess the current TMM team's strengths, gaps, and capacity; establish a clear operating model with defined ownership areas and a quarterly planning cadence.
• Own and deliver the technical content agenda for Data + AI World Tour and/or the next major Tier 1 event, achieving ≥4.5/5.0 average session ratings and measurable pipeline contribution.
• Launch or significantly expand at least 2 new outbound evangelism motions that grow Databricks' external technical reach by ≥25%.
• Build an AI-powered publishing engine that enables the TMM team to scale content faster.
• Establish yourself as a credible external technical voice, publishing 3+ original technical pieces and representing Databricks at 2+ external events or podcasts.

First 12 months:

• Scale the TMM team to meet growing demand across an expanding set of technical personas.
• Work with Databricks Field Engineering and FDE to capture repeatable product use cases into a Solutions Library.
• Build and operationalize a "1 launch → many assets" content engine that converts every major product launch into persona-specific learning journeys.
• Grow Databricks' YouTube and social technical content reach by 2x.
• Drive measurable contribution to AEO/GEO.

First 18–24 months:

• Establish Databricks as the default place every technical practitioner learns data + AI.
• Build a formal Databricks Creators program that turns independent creator reach into co-owned, accurate, early-access content.
• Develop the TMM team into a recognized center of excellence.

What we look for:

• 10+ years of experience in technical marketing, developer relations, solutions engineering, field engineering, or a related technical field.
• 3+ years of people management experience, with a track record of hiring, developing, and retaining high-performing technical teams.
• Deep technical fluency in data, AI/ML, and cloud platforms.
• Demonstrated outbound evangelism skills, including a visible external presence.
• Experience owning technical content strategy for major product launches and flagship events.
• Strong cross-functional influence with a proven ability to partner with Product Management, Product Marketing, Field Engineering, and Sales.

Preferred:

• Experience with data platforms, lakehouse architectures, Apache Spark, or related open-source data technologies.
• Experience building or scaling a YouTube channel, podcast, or technical content program.
• Familiarity with GEO / AI answer engine optimization strategies.
• Experience with technical community building, creator programs, or influencer engagement.

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Stripe is a financial infrastructure platform for businesses. Millions of companies,from the world's largest enterprises to the most ambitious startups,use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet.

The Solutions Architecture (SA) organization helps Stripe's most strategic customers design and validate technical solutions that drive their business forward. We're looking for AI Engineers who are energized by working close to the business and the users we serve.

Responsibilities

• Collaborate with Solutions Architects, SA leadership, Product, and Engineering to scope technical work and translate ambiguous business needs into well-defined deliverables
• Evaluate and integrate AI capabilities where they provide genuine leverage
• Architect and build internal tools, agents, and automated workflows that accelerate SA and manager productivity
• Take high-potential tools and workflows built by SAs and managers and harden them into scalable, maintainable, production-grade solutions
• Identify patterns across SA workflows and proactively build solutions that address recurring friction
• Build custom demo environments, PoC applications, and technical assets for Stripe's most strategic customer engagements
• Document tools, architectures, and usage patterns so others can adopt and extend what you've built
• Debug, extend, and maintain backend systems across a variety of codebases and infrastructure

Minimum Requirements

• 4+ years of experience as an engineer shipping production systems
• Strong backend engineering fundamentals
• Experience building and deploying AI agents, LLM-powered tools, or workflow automation
• Experience scoping and delivering work with minimal oversight in a fast-moving, cross-functional environment
• Proficiency in at least two of: Ruby, Node.js, Python, or Next.js
• Familiarity with cloud infrastructure (AWS, GCP) including deployment, monitoring, and basic DevOps
• Experience building internal tools, developer platforms, or workflow automation
• Demonstrated ability to work across multiple codebases and technology stacks simultaneously
• Hands-on experience using AI/LLM tools in your engineering workflow
• Strong written and verbal communication skills
• Comfort with ambiguity

Preferred Qualifications

• Experience designing systems that non-engineers can build on top of or extend themselves
• Experience in a Solutions Engineering, Sales Engineering, or GTM Engineering role,or a product engineering role where you worked closely with customers or go-to-market teams
• Familiarity with Stripe's products, APIs, or the payments/fintech domain
• Experience integrating with third-party platforms
• Track record of building tools or systems that were adopted beyond your immediate team
• Background in consulting, professional services, or other roles that blend technical depth with business context

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Key Responsibilities:

• Partner with salespeople as technical co-pilots to design Logitech solutions that address customer goals and environments
• Lead technical discovery, solution design, and demonstrations to validate Logitech solutions
• Develop trusted relationships with key stakeholders and technical decision-makers
• Collaborate with cross-functional teams to communicate customer-driven insights and influence future product development
• Maintain visibility of technical work, risks, decisions, and outcomes in Salesforce and other company systems

Requirements:

• Experience in solutions engineering, sales engineering, or technical consulting in IT/AV
• Deep understanding of video collaboration solutions (Microsoft Teams, Zoom, Google Meet, Webex)
• Strong networking knowledge, including TCP/IP, VLANs, QoS, security configurations, and cloud-based collaboration tools
• Excellent communication, presentation, and demonstration skills

Benefits:

• Medical, dental, and vision coverage
• 401(k) plans and flexible spending accounts
• Employee share purchase plan and life insurance
• Disability coverage and adoption assistance
• Tuition reimbursement and commuter benefits
• Paid time off and holidays
• Wellness programs and health savings account plans

Salary: $150K - $236K OTE (base + variable bonus)

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OpenAI’s User Operations team shepherds our customers’ adoption of AI and ensures that our customers' product experience is nothing short of exceptional. We are building the very first post-AGI support team. We resolve complex issues, provide technical guidance, and support customers in maximizing value and adoption from deploying our products. We work closely with Sales, Technical Success, Product, Engineering and others, to deliver the best possible experience to our customers at scale. OpenAI's customers represent a range of diverse backgrounds and maturity, from early-stage startups to established global enterprises.

About the Role

The Support Engineering team works closely with Engineering, Product, Technical Success, Go-to-Market, and other teams to deliver an exceptional experience for our most strategic customers. We combine deep technical troubleshooting with durable customer context, proactive reliability work, and clear ownership during critical moments. We use automation, agents, and our own technology to help build the future of technical support.

We’re looking for experienced, deeply curious technical problem-solvers to serve as trusted support partners for our Premium Support customers. You’ll work directly with customers on novel, ambiguous, and high-impact technical issues, using logs, telemetry, reproduction, and systems-level investigation to isolate causes and drive issues toward resolution.

Beyond resolving individual issues, you’ll use your deep understanding of OpenAI’s infrastructure and products, together with each customer’s architecture and operating context, to anticipate risk and make their workloads more resilient over time. You’ll proactively monitor integrations, identify emerging failure patterns and architectural breakpoints, and work with customers and internal teams to address them before they become incidents. Success means that as a customer’s workloads mature and scale, the day-to-day effort required to support them decreases through better monitoring, runbooks, automation, and preventative improvements.

In this role, you will:

• Work directly with Premium Support customers to troubleshoot their most complex technical issues, including API failures, integration challenges, authentication errors, unexpected product behavior, performance degradation, and production incidents.

• Provide end-to-end technical ownership by analyzing logs and system behavior, reproducing errors, testing hypotheses, and isolating the likely failure domain. Where possible, you’ll identify the root cause before escalating to Engineering; where that is not possible, you’ll provide a clear hypothesis and the evidence needed to accelerate Engineering’s investigation.

• Become a trusted expert on OpenAI’s products and systems, serving as a critical escalation point and a technical backstop for our most strategic customers.

• Own the customer-specific response to high-impact incidents. You’ll assess severity and business impact, initiate the appropriate response path, coordinate cross-functional responders, maintain clear ownership, and ensure issues move through mitigation, resolution, and post-incident follow-through.

• Communicate clearly and proactively during periods of uncertainty, providing accurate updates to customer technical teams, business stakeholders, executives, and internal partners.

• Develop a detailed understanding of each customer’s architecture, integrations, dependencies, critical workloads, and operational constraints. You’ll document this context and make it accessible to Support, Product, and Engineering teams.

• Partner with Go-to-Market and Technical Success teams to understand the business importance of customer workloads and ensure that relevant commercial context informs severity, prioritization, and communication without bypassing established support processes.

• Represent Support Engineering in relevant customer meetings, including QBRs, and partner closely with account teams to communicate technical health, surface risks and blockers early, coordinate follow-up, and provide customers and internal stakeholders with clear, proactive updates.

• Monitor customer integrations and support trends to identify emerging risks, recurring failure patterns, and readiness gaps before they become major escalations.

• Prepare for important launches, migrations, traffic increases, and business events by developing account-specific runbooks, validating escalation paths, coordinating support readiness, and providing heightened monitoring where needed.

• Lead or contribute to incident reviews and postmortems, identify opportunities to prevent recurrence, and track corrective actions through closure.

• Translate recurring customer pain into clear, evidence-backed feedback for Product and Engineering, with a particular focus on improving the reliability and performance of existing products, integrations, and deployments.

• Turn what you learn from customer investigations into scalable improvements, including troubleshooting guides, monitoring, internal tooling, support workflows, and AI-powered automation.

• Help shape the operating model, technical standards, and tooling for Premium Support as the function grows globally.

You might thrive in this role if you:

• Have significant experience in Support Engineering, Solutions Engineering, Solutions Architecture, or another role involving hands-on diagnosis of complex production issues.

• Have expert-level troubleshooting skills and a strong track record of resolving ambiguous technical problems across APIs, distributed systems, cloud infrastructure, and enterprise integrations.

• Are comfortable working with logs, metrics, traces, API requests, authentication flows, and customer-provided code or configurations to understand system behavior and test hypotheses.

• Have experience leading or playing a central role in customer-impacting incidents, including severity assessment, technical coordination, stakeholder communication, root-cause analysis, and post-incident follow-through.

• Can write code or scripts to reproduce issues, interrogate systems, automate repetitive work, and improve internal tools. Experience with Python, JavaScript, or similar languages is valuable.

• Can communicate complex technical issues clearly to engineers, customer technical teams, business stakeholders, and senior leaders,especially when information is incomplete or evolving.

• Build strong, high-trust relationships with customers and cross-functional partners while maintaining clear and scalable ownership boundaries.

• Look beyond the immediate issue to identify patterns, improve the system, and prevent the same problem from recurring.

• Thrive in ambiguity, update quickly as new information emerges, and are willing to learn whatever is needed to get the job done.

• Bring a humble, team-first mindset, strong judgment, and a genuine eagerness to help both customers and colleagues succeed.

• Are excited to use OpenAI’s products, agents, and emerging AI capabilities to transform how technical support operates at scale.

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As a Principal Presales Engineer, you will be fully autonomous, driving the technical side of all but the most complex opportunities independently. You will provide leadership and deal support within the Solutions Engineer organization, driving the design and execution of medium to large projects with feedback from other engineers, participating in architectural decisions on the team, and coordinating with other Twilio teams such as product.

Responsibilities:

• Partner with Account Executives to execute pre-sales activities including opportunity qualification, demonstrations, Proof-of-Concept, RFP, design documentation, technical presentations and enablement sessions
• Lead technical discovery sessions with customers to uncover their needs and difficulties, demonstrating our capability to facilitate their success and address their challenges effectively
• Build and present powerful and complex presentations and product demos to help showcase the capabilities of Twilio Communications Products
• Establish yourself as a trusted advisor to our customers, introducing innovative solutions and architectures that catalyze and propel innovation
• Contribute to the broader Solutions Engineering community through knowledge sharing, constructing demonstration materials, and creating reusable presentations

Qualifications:

• Minimum of 8 years in a solutions engineering (presales) role, specializing in the sale of complex technical products, or 10+ years of professional experience supporting technical products, along with customer-facing experience, particularly in delivery or consulting
• Excellent communicator and presenter able to gain audience confidence
• An engaging storyteller - you can gain audience confidence and communicate complex topics to multiple levels of audience
• Ability to build a deep understanding of a customer's communications needs and guide them to a technical solution
• Customer focused problem solver, adept at striking the balance between crafting innovative technical solutions and prioritizing the customer's best interests
• Excellent time management and prioritization skills, and ability to handle competing priorities in a fast-paced environment
• Previous software development experience in one or more of the following areas: Backend (Java, C#, Node.js, Python, PHP), Web development (JavaScript, HTML/CSS, frontend frameworks - React, Vue.js, Angular), Building with REST APIs
• Bachelors and/or Masters degree in a technical discipline (Engineering, Mathematics, Computer Science,) or equivalent practical experiences

What We Offer:

• Competitive pay
• Generous time off
• Ample parental and wellness leave
• Healthcare
• A retirement savings program
• Much more

Compensation:

• The estimated pay ranges for this role are as follows:
• Based in Colorado, Hawaii, Minnesota or Vermont : $138,872.00- $173,590.00
• Based in Washington D.C., Illinois, Maryland, Massachusetts or California (outside of the San Francisco Bay Area): $146,592.00 - $183,240.00
• Based in New York, New Jersey, Washington State, or the San Francisco Bay area, California: $154,304.00 - $192,880.00

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As a Principal Presales Engineer, you will join Twilio's New Business Communication team and play a critical role in enabling customers to build the future of communications. You will be responsible for delivering the technical win for customer accounts, leading the technical pre-sales relationship, proposing technical architectures, demonstrating the product, anticipating concerns, and offering creative solutions.

Responsibilities:

• Partner with Account Executives to execute pre-sales activities, including opportunity qualification, demonstrations, Proof-of-Concept, RFP, design documentation, technical presentations, and enablement sessions.
• Lead technical discovery sessions with customers to uncover their needs and difficulties, demonstrating our capability to facilitate their success and address their challenges effectively.
• Build and present powerful and complex presentations and product demos to help showcase the capabilities of Twilio Communications Products.
• Establish yourself as a trusted advisor to our customers, introducing innovative solutions and architectures that catalyze and propel innovation.
• Contribute to the broader Solutions Engineering community through knowledge sharing, constructing demonstration materials, and creating reusable presentations.

Qualifications:

• Minimum of 8 years in a solutions engineering (presales) role, specializing in the sale of complex technical products, or 10+ years of professional experience supporting technical products, along with customer-facing experience, particularly in delivery or consulting.
• Excellent communicator and presenter able to gain audience confidence.
• An engaging storyteller - you can gain audience confidence and communicate complex topics to multiple levels of audience.
• Ability to build a deep understanding of a customer's communications needs and guide them to a technical solution.
• Customer-focused problem solver, adept at striking the balance between crafting innovative technical solutions and prioritizing the customer's best interests.
• Excellent time management and prioritization skills, and ability to handle competing priorities in a fast-paced environment.
• Previous software development experience in one or more of the following areas: Backend (Java, C#, Node.js, Python, PHP), Web development (JavaScript, HTML/CSS, frontend frameworks - React, Vue.js, Angular), Building with REST APIs.
• Bachelor's and/or Master's degree in a technical discipline (Engineering, Mathematics, Computer Science,) or equivalent practical experiences.

What We Offer:

• Competitive pay.
• Generous time off.
• Ample parental and wellness leave.
• Healthcare.
• A retirement savings program.
• Much more.

Compensation:

• The estimated pay ranges for this role are as follows:
• Based in Colorado, Hawaii, Minnesota or Vermont: $138,872.00- $173,590.00.
• Based in Washington D.C., Illinois, Maryland, Massachusetts or California (outside of the San Francisco Bay Area): $146,592.00 - $183,240.00.
• Based in New York, New Jersey, Washington State, or the San Francisco Bay area, California: $154,304.00 - $192,880.00.

XML job scraping automation by YubHub

The Associate Product Marketing Manager will report to the Head of Product Marketing within the Product organization and work closely with Product Managers and Engineering while collaborating across Marketing and GTM.

Key responsibilities:

• Develop clear messaging and positioning grounded in the customer problem, the value Starburst provides, and what makes its approach different
• Translate complex data and AI infrastructure into simple, credible stories for technical buyers, business stakeholders, sellers, and partners
• Partner with Product Managers early in the development process to build market and customer understanding into roadmap, launch, and go-to-market decisions
• Own product launches from strategy through execution
• Build the materials customers need to evaluate Starburst
• Develop revenue plays that connect customer pain to groups of Starburst capabilities
• Create practical seller enablement for AEs, SDRs, and Solution Architects
• Gather customer, buyer, competitive, and field intelligence
• Measure impact using product adoption, launch engagement, pipeline, revenue-play performance, and qualitative field and customer evidence
• Help establish the operating system for a growing Product Marketing function
• Use AI to accelerate research and execution while maintaining human judgment and accountability for everything that ships

Requirements:

• Approximately 3–5 years of experience in product marketing, product, data or business analysis, solutions consulting, sales enablement, GTM strategy, or another relevant role
• The ability to understand a technical product and explain its value in concise, customer-friendly language
• Strong writing, synthesis, presentation, and storytelling skills
• A bias toward execution
• Commercial judgment and an interest in connecting product investments to customer adoption, pipeline, and revenue
• The curiosity and technical aptitude to develop fluency in modern data platforms, analytics, AI infrastructure, and the competitive landscape
• Strong cross-functional relationship skills and the confidence to work directly with Product Managers, engineers, marketers, executives, sellers, and customers

Nice to have:

• Experience as a data engineer, BI or data analyst, solutions engineer, technical marketer, or PMM for a technical infrastructure product
• Familiarity with SQL, data platforms, lakehouses, federated query, Trino, Apache Iceberg, cloud data warehouses, or enterprise AI
• Experience translating roadmaps into differentiated positioning and executing launches that drive evaluation and adoption

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$180K – $260K • 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.

About the Team

OpenAI’s User Operations team shepherds our customers’ adoption of AI and ensures that our customers' product experience is nothing short of exceptional. We are building the very first post-AGI support team. We resolve complex issues, provide technical guidance, and support customers in maximizing value and adoption from deploying our products. We work closely with Sales, Technical Success, Product, Engineering and others, to deliver the best possible experience to our customers at scale. OpenAI's customers represent a range of diverse backgrounds and maturity, from early-stage startups to established global enterprises.

About the Role

The Support Engineering team works closely with Engineering, Product, Technical Success, Go-to-Market, and other teams to deliver an exceptional experience for our most strategic customers. We combine deep technical troubleshooting with durable customer context, proactive reliability work, and clear ownership during critical moments. We use automation, agents, and our own technology to help build the future of technical support.

We’re looking for experienced, deeply curious technical problem-solvers to serve as trusted support partners for our Premium Support customers. You’ll work directly with customers on novel, ambiguous, and high-impact technical issues, using logs, telemetry, reproduction, and systems-level investigation to isolate causes and drive issues toward resolution.

Beyond resolving individual issues, you’ll use your deep understanding of OpenAI’s infrastructure and products, together with each customer’s architecture and operating context, to anticipate risk and make their workloads more resilient over time. You’ll proactively monitor integrations, identify emerging failure patterns and architectural breakpoints, and work with customers and internal teams to address them before they become incidents. Success means that as a customer’s workloads mature and scale, the day-to-day effort required to support them decreases through better monitoring, runbooks, automation, and preventative improvements.

In this role, you will:

• Work directly with Premium Support customers to troubleshoot their most complex technical issues, including API failures, integration challenges, authentication errors, unexpected product behavior, performance degradation, and production incidents.
• Provide end-to-end technical ownership by analyzing logs and system behavior, reproducing errors, testing hypotheses, and isolating the likely failure domain. Where possible, you’ll identify the root cause before escalating to Engineering; where that is not possible, you’ll provide a clear hypothesis and the evidence needed to accelerate Engineering’s investigation.
• Become a trusted expert on OpenAI’s products and systems, serving as a critical escalation point and a technical backstop for our most strategic customers.
• Own the customer-specific response to high-impact incidents. You’ll assess severity and business impact, initiate the appropriate response path, coordinate cross-functional responders, maintain clear ownership, and ensure issues move through mitigation, resolution, and post-incident follow-through.
• Communicate clearly and proactively during periods of uncertainty, providing accurate updates to customer technical teams, business stakeholders, executives, and internal partners.
• Develop a detailed understanding of each customer’s architecture, integrations, dependencies, critical workloads, and operational constraints. You’ll document this context and make it accessible to Support, Product, and Engineering teams.
• Partner with Go-to-Market and Technical Success teams to understand the business importance of customer workloads and ensure that relevant commercial context informs severity, prioritization, and communication without bypassing established support processes.
• Represent Support Engineering in relevant customer meetings, including QBRs, and partner closely with account teams to communicate technical health, surface risks and blockers early, coordinate follow-up, and provide customers and internal stakeholders with clear, proactive updates.
• Monitor customer integrations and support trends to identify emerging risks, recurring failure patterns, and readiness gaps before they become major escalations.
• Prepare for important launches, migrations, traffic increases, and business events by developing account-specific runbooks, validating escalation paths, coordinating support readiness, and providing heightened monitoring where needed.
• Lead or contribute to incident reviews and postmortems, identify opportunities to prevent recurrence, and track corrective actions through closure.
• Translate recurring customer pain into clear, evidence-backed feedback for Product and Engineering, with a particular focus on improving the reliability and performance of existing products, integrations, and deployments.
• Turn what you learn from customer investigations into scalable improvements, including troubleshooting guides, monitoring, internal tooling, support workflows, and AI-powered automation.
• Help shape the operating model, technical standards, and tooling for Premium Support as the function grows globally.

You might thrive in this role if you:

• Have significant experience in Support Engineering, Solutions Engineering, Solutions Architecture, or another role involving hands-on diagnosis of complex production issues.
• Have expert-level troubleshooting skills and a strong track record of resolving ambiguous technical problems across APIs, distributed systems, cloud infrastructure, and enterprise integrations.
• Are comfortable working with logs, metrics, traces, API requests, authentication flows, and customer-provided code or configurations to understand system behavior and test hypotheses.
• Have experience leading or playing a central role in customer-impacting incidents, including severity assessment, technical coordination, stakeholder communication, root-cause analysis, and post-incident follow-through.
• Can write code or scripts to reproduce issues, interrogate systems, automate repetitive work, and improve internal tools. Experience with Python, JavaScript, or similar languages is valuable.
• Can communicate complex technical issues clearly to engineers, customer technical teams, business stakeholders, and senior leaders,especially when information is incomplete or evolving.
• Build strong, high-trust relationships with customers and cross-functional partners while maintaining clear and scalable ownership boundaries.
• Look beyond the immediate issue to identify patterns, improve the system, and prevent the same problem from recurring.
• Thrive in ambiguity, update quickly as new information emerges, and are willing to learn whatever is needed to get the job done.
• Bring a humble, team-first mindset, strong judgment, and a genuine eagerness to help both customers and colleagues succeed.
• Are excited to use OpenAI’s products, agents, and emerging AI capabilities to transform how technical support operates at scale.

XML job scraping automation by YubHub

OpenAI’s User Operations team shepherds our customers’ adoption of AI and ensures that our customers' product experience is nothing short of exceptional. We are building the very first post-AGI support team. We resolve complex issues, provide technical guidance, and support customers in maximizing value and adoption from deploying our products. We work closely with Sales, Technical Success, Product, Engineering and others, to deliver the best possible experience to our customers at scale. OpenAI's customers represent a range of diverse backgrounds and maturity, from early-stage startups to established global enterprises.

About the Role

The Support Engineering team works closely with Engineering, Product, Technical Success, Go-to-Market, and other teams to deliver an exceptional experience for our most strategic customers. We combine deep technical troubleshooting with durable customer context, proactive reliability work, and clear ownership during critical moments. We use automation, agents, and our own technology to help build the future of technical support.

We’re looking for experienced, deeply curious technical problem-solvers to serve as trusted support partners for our Premium Support customers. You’ll work directly with customers on novel, ambiguous, and high-impact technical issues, using logs, telemetry, reproduction, and systems-level investigation to isolate causes and drive issues toward resolution.

Beyond resolving individual issues, you’ll use your deep understanding of OpenAI’s infrastructure and products, together with each customer’s architecture and operating context, to anticipate risk and make their workloads more resilient over time. You’ll proactively monitor integrations, identify emerging failure patterns and architectural breakpoints, and work with customers and internal teams to address them before they become incidents. Success means that as a customer’s workloads mature and scale, the day-to-day effort required to support them decreases through better monitoring, runbooks, automation, and preventative improvements.

This role is based in Singapore. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. To succeed in this position you must be fully fluent in English (spoken and written).

Responsibilities

• Work directly with Premium Support customers to troubleshoot their most complex technical issues, including API failures, integration challenges, authentication errors, unexpected product behavior, performance degradation, and production incidents.
• Provide end-to-end technical ownership by analyzing logs and system behavior, reproducing errors, testing hypotheses, and isolating the likely failure domain.
• Become a trusted expert on OpenAI’s products and systems, serving as a critical escalation point and a technical backstop for our most strategic customers.
• Own the customer-specific response to high-impact incidents.
• Communicate clearly and proactively during periods of uncertainty, providing accurate updates to customer technical teams, business stakeholders, executives, and internal partners.
• Develop a detailed understanding of each customer’s architecture, integrations, dependencies, critical workloads, and operational constraints.
• Partner with Go-to-Market and Technical Success teams to understand the business importance of customer workloads and ensure that relevant commercial context informs severity, prioritization, and communication.
• Represent Support Engineering in relevant customer meetings, including QBRs, and partner closely with account teams to communicate technical health, surface risks and blockers early, coordinate follow-up, and provide customers and internal stakeholders with clear, proactive updates.
• Monitor customer integrations and support trends to identify emerging risks, recurring failure patterns, and readiness gaps before they become major escalations.
• Prepare for important launches, migrations, traffic increases, and business events by developing account-specific runbooks, validating escalation paths, coordinating support readiness, and providing heightened monitoring where needed.
• Lead or contribute to incident reviews and postmortems, identify opportunities to prevent recurrence, and track corrective actions through closure.
• Translate recurring customer pain into clear, evidence-backed feedback for Product and Engineering, with a particular focus on improving the reliability and performance of existing products, integrations, and deployments.
• Turn what you learn from customer investigations into scalable improvements, including troubleshooting guides, monitoring, internal tooling, support workflows, and AI-powered automation.
• Help shape the operating model, technical standards, and tooling for Premium Support as the function grows globally.

Requirements

• Have significant experience in Support Engineering, Solutions Engineering, Solutions Architecture, or another role involving hands-on diagnosis of complex production issues.
• Have expert-level troubleshooting skills and a strong track record of resolving ambiguous technical problems across APIs, distributed systems, cloud infrastructure, and enterprise integrations.
• Are comfortable working with logs, metrics, traces, API requests, authentication flows, and customer-provided code or configurations to understand system behavior and test hypotheses.
• Have experience leading or playing a central role in customer-impacting incidents, including severity assessment, technical coordination, stakeholder communication, root-cause analysis, and post-incident follow-through.
• Can write code or scripts to reproduce issues, interrogate systems, automate repetitive work, and improve internal tools.
• Can communicate complex technical issues clearly to engineers, customer technical teams, business stakeholders, and senior leaders.
• Build strong, high-trust relationships with customers and cross-functional partners while maintaining clear and scalable ownership boundaries.
• Look beyond the immediate issue to identify patterns, improve the system, and prevent the same problem from recurring.
• Thrive in ambiguity, update quickly as new information emerges, and are willing to learn whatever is needed to get the job done.
• Bring a humble, team-first mindset, strong judgment, and a genuine eagerness to help both customers and colleagues succeed.
• Are excited to use OpenAI’s products, agents, and emerging AI capabilities to transform how technical support operates at scale.

XML job scraping automation by YubHub

OpenAI’s User Operations team shepherds our customers’ adoption of AI and ensures that our customers' product experience is nothing short of exceptional. We are building the very first post-AGI support team. We resolve complex issues, provide technical guidance, and support customers in maximizing value and adoption from deploying our products. We work closely with Sales, Technical Success, Product, Engineering and others, to deliver the best possible experience to our customers at scale. OpenAI's customers represent a range of diverse backgrounds and maturity, from early-stage startups to established global enterprises.

About the Role

The Support Engineering team works closely with Engineering, Product, Technical Success, Go-to-Market, and other teams to deliver an exceptional experience for our most strategic customers. We combine deep technical troubleshooting with durable customer context, proactive reliability work, and clear ownership during critical moments. We use automation, agents, and our own technology to help build the future of technical support.

We’re looking for experienced, deeply curious technical problem-solvers to serve as trusted support partners for our Premium Support customers. You’ll work directly with customers on novel, ambiguous, and high-impact technical issues, using logs, telemetry, reproduction, and systems-level investigation to isolate causes and drive issues toward resolution.

Beyond resolving individual issues, you’ll use your deep understanding of OpenAI’s infrastructure and products, together with each customer’s architecture and operating context, to anticipate risk and make their workloads more resilient over time. You’ll proactively monitor integrations, identify emerging failure patterns and architectural breakpoints, and work with customers and internal teams to address them before they become incidents. Success means that as a customer’s workloads mature and scale, the day-to-day effort required to support them decreases through better monitoring, runbooks, automation, and preventative improvements.

This role is based in Tokyo. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. To succeed in this position you must be fully bilingual,fluent in both Japanese _and_ English (spoken and written).

Responsibilities

• Work directly with Premium Support customers to troubleshoot their most complex technical issues, including API failures, integration challenges, authentication errors, unexpected product behavior, performance degradation, and production incidents.
• Provide end-to-end technical ownership by analyzing logs and system behavior, reproducing errors, testing hypotheses, and isolating the likely failure domain.
• Become a trusted expert on OpenAI’s products and systems, serving as a critical escalation point and a technical backstop for our most strategic customers.
• Own the customer-specific response to high-impact incidents.
• Communicate clearly and proactively during periods of uncertainty, providing accurate updates to customer technical teams, business stakeholders, executives, and internal partners.
• Develop a detailed understanding of each customer’s architecture, integrations, dependencies, critical workloads, and operational constraints.
• Partner with Go-to-Market and Technical Success teams to understand the business importance of customer workloads and ensure that relevant commercial context informs severity, prioritization, and communication.
• Represent Support Engineering in relevant customer meetings, including QBRs, and partner closely with account teams to communicate technical health, surface risks and blockers early, coordinate follow-up, and provide customers and internal stakeholders with clear, proactive updates.
• Monitor customer integrations and support trends to identify emerging risks, recurring failure patterns, and readiness gaps before they become major escalations.
• Prepare for important launches, migrations, traffic increases, and business events by developing account-specific runbooks, validating escalation paths, coordinating support readiness, and providing heightened monitoring where needed.
• Lead or contribute to incident reviews and postmortems, identify opportunities to prevent recurrence, and track corrective actions through closure.
• Translate recurring customer pain into clear, evidence-backed feedback for Product and Engineering, with a particular focus on improving the reliability and performance of existing products, integrations, and deployments.
• Turn what you learn from customer investigations into scalable improvements, including troubleshooting guides, monitoring, internal tooling, support workflows, and AI-powered automation.
• Help shape the operating model, technical standards, and tooling for Premium Support as the function grows globally.

Requirements

• Have significant experience in Support Engineering, Solutions Engineering, Solutions Architecture, or another role involving hands-on diagnosis of complex production issues.
• Have expert-level troubleshooting skills and a strong track record of resolving ambiguous technical problems across APIs, distributed systems, cloud infrastructure, and enterprise integrations.
• Are comfortable working with logs, metrics, traces, API requests, authentication flows, and customer-provided code or configurations to understand system behavior and test hypotheses.
• Have experience leading or playing a central role in customer-impacting incidents, including severity assessment, technical coordination, stakeholder communication, root-cause analysis, and post-incident follow-through.
• Can write code or scripts to reproduce issues, interrogate systems, automate repetitive work, and improve internal tools.
• Can communicate complex technical issues clearly to engineers, customer technical teams, business stakeholders, and senior leaders.
• Build strong, high-trust relationships with customers and cross-functional partners while maintaining clear and scalable ownership boundaries.
• Look beyond the immediate issue to identify patterns, improve the system, and prevent the same problem from recurring.
• Thrive in ambiguity, update quickly as new information emerges, and are willing to learn whatever is needed to get the job done.
• Bring a humble, team-first mindset, strong judgment, and a genuine eagerness to help both customers and colleagues succeed.
• Are excited to use OpenAI’s products, agents, and emerging AI capabilities to transform how technical support operates at scale.

XML job scraping automation by YubHub

Responsibilities

• Own partner technical delivery - Own technical planning, architecture, implementation support, testing, and launch readiness for selected partner integrations.
• Translate partner goals into clear technical requirements, dependencies, milestones, and success criteria.
• Maintain one accountable technical plan across the partner, Global Partnerships, Product, and Engineering teams.
• Identify delivery risks early and drive technical decisions through launch.
• Lead critical partner escalations and help resolve complex production integration failures.

Manage an ecosystem portfolio

• Own a technical portfolio across multiple ecosystem areas, based on team priorities and your expertise.
• Partner with partnership leads to prioritize integrations and determine where dedicated technical support will create the most value.
• Connect partner technical delivery to adoption, commercial, and user outcomes.
• Prioritize technical engagements based on partner impact, strategic value, implementation readiness, and team commitments.

Develop platform expertise

• Develop deep expertise in Stripe's app, developer-platform, and extensibility capabilities.
• Advise partners and other Partner Solutions Engineers on embedded experiences, workflow automation, application distribution, permissions, and monetization.
• Maintain reference architectures, implementation guidance, testing standards, and certification paths.
• Track emerging platform capabilities and help priority partners adopt them successfully.

Influence Stripe's Product roadmap

• Identify recurring friction and unmet partner needs through direct implementation work.
• Distinguish partner-specific requirements from platform gaps that affect multiple integrations.
• Translate implementation evidence into clear Product requirements and recommendations.
• Work with Product and Engineering teams to reach clear decisions on requirements, workarounds, ownership, and sequencing.
• Close the feedback loop with partners when Stripe makes or declines a Product investment.

Create reusable technical leverage

• Turn initial partner builds into repeatable implementation and enablement paths.
• Build prototypes, examples, scripts, or lightweight tooling when they accelerate partner delivery or validate a Product direction.
• Define launch-readiness standards across permissions, authorization, testing, observability, and production support.
• Transition mature integration patterns to scalable support models when they no longer require dedicated engineering ownership.
• Contribute to shared team standards for custom partner applications, incidents, escalations, and partner handoffs.

Measure outcomes

• Define and track technical milestones, launch outcomes, adoption signals, and implementation quality.
• Measure the commercial, user, or Product outcomes that your work enables, accelerates, or protects.
• Use portfolio data to identify repeated blockers, improve prioritization, and guide future investment.

Requirements

• 6+ years of experience in solutions engineering, partner engineering, software engineering, technical consulting, developer relations engineering, or another hands-on technical role supporting external users or partners.
• Experience designing and delivering production integrations using APIs, webhooks, authentication and authorization, event-driven systems, or developer platforms.
• Ability to read, write, and debug code in at least one general-purpose programming language such as JavaScript or TypeScript, Python, Ruby, Java, or Go.
• Experience diagnosing complex integration failures across partner systems, APIs, and product surfaces.
• Experience leading external partners from technical discovery through implementation, testing, and launch.
• Ability to translate ambiguous partner goals into a clear architecture, delivery plan, and set of technical decisions.
• Ability to identify patterns across multiple implementations and turn them into reusable guidance or Product requirements.
• Strong written and verbal communication with technical, business, and executive audiences.
• Experience working across Product, Engineering, Partnerships, Sales, or other cross-functional teams without relying on direct authority.
• Sound judgment when balancing partner urgency, Product constraints, implementation quality, and long-term platform leverage.

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Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organisations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence.

This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk.

Position Overview

We are looking for an execution-focused, highly technical Technical Account Manager (TAM) specialising in enterprise identity, including Okta's Workforce Identity Cloud (WIC) and Customer Identity Solutions (CIS).

In this role, you will serve as a trusted technical advisor to mid-market and enterprise customer portfolios. You will cut through complexity, proactively optimise configurations, and guide customers on architectural best practices across hybrid SaaS, on-premise, and custom application environments.

As a TAM at Okta, you embody a bias for action: you dig into technical details, eliminate architectural friction, and turn post-sales guidance into measurable customer traction.

Key Responsibilities

1. Proactive Technical Leadership & Customer Value

• Strategic Technical Guidance: Partner as the technical counterpart to Customer Success Managers (CSMs) across mid-market and enterprise account portfolios, translating complex customer requirements into tangible business value.
• Architecture & Security Health Checks: Audit customer Okta configurations and deployment architectures to continuously strengthen security posture, accelerate feature adoption, and drive ROI as Okta releases new features.
• Retention & Health Acceleration: Track and influence key account health metrics, using technical insight to drive product usage, reduce friction, and prevent churn.

2. High-Velocity Problem Solving

• Escalation & Technical Advisory: Address reactive technical inquiries and complex architectural blockers rapidly, breaking down multi-layered IAM challenges into simple, actionable steps.
• Executive & Stakeholder Alignment: Build trusted technical relationships with C-level executives, IT directors, architects, and developers, establishing credibility as Okta's subject matter expert.
• Friction Elimination: Identify recurring implementation bottlenecks across your account portfolio and partner with Product and Engineering to streamline workflows for customer teams.

3. Continuous Learning & Knowledge Enablement

• Product & Domain Expertise: Maintain deep, cutting-edge mastery across Workforce Identity Cloud (WIC), Customer Identity Solutions (CIS), and surrounding identity/security ecosystems.
• Enablement & Content Creation: Drive the creation of technical best-practice guides, architecture patterns, and enablement content for both internal TA teams and external customer groups.
• Thrive in Technology Shifts: Continuously adapt to emerging identity trends, security threats, and AI-driven identity capabilities, ensuring customer environments remain modern and resilient.

Requirements & Qualifications

• 5+ years of total experience in information technology, with at least 3 years of hands-on experience as a Technical Account Manager (TAM) or comparable practitioner role in the IAM space
• Ability to work US Time Zone (preference)
• Familiarity with IAM solution providers is strongly desired.
• Strong background in any of the following: Technical Account Management, Technical Consulting, Solution Architect, Solutions Engineering, Product Management or similar role.
• Understanding of common software development practice. Understanding of identity and surrounding technologies.
• Strong business acumen, history of success owning enterprise segment customer relationships and escalations
• Excellent communication skills. Ability to set expectations and communicate goals and objectives with customers at various levels.
• Ability to track and influence customer behaviour and health metrics across a portfolio of accounts

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The job has two halves. The first is enabling our own people to be power users of Claude, so the field is the most sophisticated user of the product we sell. The second is enabling them to position it: to run a credible technical conversation with a customer, anticipate the hard questions, and hold their own with a technical buyer.

Key responsibilities:

• Own product enablement for the global field organization, spanning new launches, existing capabilities, and the product roadmap ahead
• Build the programs that make Anthropic sellers genuinely expert users of Claude in their own daily work
• Create enablement that equips the field to position our products with technical and business buyers, including demo readiness, objection handling, and competitive framing
• Partner closely with Product, Product Marketing, and Applied AI to get early visibility into what is shipping and to shape how it reaches the field
• Anticipate which new product surfaces will require significant enablement investment, and make the case for that investment before launch
• Build and maintain the product certification path that credentials sellers on our core products
• Create high-quality enablement content including demo scripts, technical talk tracks, solution guides, and competitive positioning material
• Establish feedback loops that carry field and customer signal about product gaps back to Product and Product Marketing

Minimum qualifications:

• Experience bridging sales and technical audiences in a role such as solutions engineering, sales engineering, technical enablement, product marketing, or technical account management
• Hands-on, regular use of AI assistants and agentic tools (e.g., Claude, Claude Code) in your own real-world workflows
• Working technical knowledge of how LLM products work (e.g., prompting, context, tool use, APIs), enough to demo them live and field technical questions from engineering buyers
• Experience turning complex, fast-moving technical products into enablement content such as demo scripts, technical talk tracks, solution guides, or training curricula
• Experience writing and presenting technical material for audiences with very different levels of technical depth

Preferred qualifications:

• Hands-on experience building with LLM APIs, agentic frameworks, or developer tooling
• Experience owning launch readiness for a technical product across a global field organization
• Prior experience as a solutions engineer or sales engineer carrying a technical win
• Experience building technical certification programs
• A track record of shipping enablement content that the field actually uses
• Experience partnering with Product or Product Marketing to prepare a field team ahead of launch, not after it
• Experience building programs from 0 to 1 in fast-paced, ambiguous environments

The annual compensation range for this role is $190,000-$270,000 USD.

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The job has two halves. The first is enabling our own people to be power users of Claude, so the field is the most sophisticated user of the product we sell. The second is enabling them to position it: to run a credible technical conversation with a customer, anticipate the hard questions, and hold their own with a technical buyer.

Key responsibilities:

• Own product enablement for the global field organization, spanning new launches, existing capabilities, and the product roadmap ahead
• Build programs that make Anthropic sellers genuinely expert users of Claude in their own daily work
• Create enablement that equips the field to position our products with technical and business buyers, including demo readiness, objection handling, and competitive framing
• Partner closely with Product, Product Marketing, and Applied AI to get early visibility into what is shipping and to shape how it reaches the field
• Anticipate which new product surfaces will require significant enablement investment, and make the case for that investment before launch
• Build and maintain the product certification path that credentials sellers on our core products
• Create high-quality enablement content including demo scripts, technical talk tracks, solution guides, and competitive positioning material
• Establish feedback loops that carry field and customer signal about product gaps back to Product and Product Marketing

Minimum qualifications:

• Experience bridging sales and technical audiences in a role such as solutions engineering, sales engineering, technical enablement, product marketing, or technical account management
• Hands-on, regular use of AI assistants and agentic tools (e.g., Claude, Claude Code) in your own real-world workflows
• Working technical knowledge of how LLM products work (e.g., prompting, context, tool use, APIs), enough to demo them live and field technical questions from engineering buyers
• Experience turning complex, fast-moving technical products into enablement content such as demo scripts, technical talk tracks, solution guides, or training curricula
• Experience writing and presenting technical material for audiences with very different levels of technical depth

Preferred qualifications:

• Hands-on experience building with LLM APIs, agentic frameworks, or developer tooling
• Experience owning launch readiness for a technical product across a global field organization
• Prior experience as a solutions engineer or sales engineer carrying a technical win
• Experience building technical certification programs
• A track record of shipping enablement content that the field actually uses
• Experience partnering with Product or Product Marketing to prepare a field team ahead of launch, not after it
• Experience building programs from 0 to 1 in fast-paced, ambiguous environments

The annual compensation range for this role is $190,000-$270,000 USD.

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The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. The salary range for this position is $234K – $260K, with generous equity, performance-related bonuses for eligible employees, and the following benefits.

Benefits include:

• 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
• 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

About the Team

OpenAI’s mission is to ensure the responsible and widespread adoption of artificial intelligence. The Ads Solutions team partners closely with advertisers to deeply understand their businesses and needs, helping inform the development of products and solutions that drive meaningful revenue growth and long-term success on the platform,while maintaining strong standards for user trust and platform integrity.

About the Role

We’re looking for an Ads Solutions Engineer to partner with advertisers and agencies throughout the pre-sales and growth lifecycle, helping them successfully evaluate, launch, and scale on OpenAI’s advertising platform. You will serve as the technical expert in the sales process, translating advertiser objectives into scalable technical solutions across measurement, integrations, data activation, and campaign execution.

This role sits at the intersection of sales, product, and engineering. You’ll work closely with Client Partners, Customer Success Managers, Product, Engineering, Policy, and Operations teams to remove technical blockers, accelerate revenue growth, and shape the future of OpenAI’s ads platform.

Responsibilities

• Partner with Client Partners during the sales cycle to provide technical expertise that unlocks new business and accelerates deal closure.
• Lead technical discovery with advertisers and agencies to understand data flows, martech stack, measurement requirements, and activation goals.
• Design and recommend implementation approaches for pixels, APIs, server-to-server integrations, identity solutions, offline conversions, and measurement frameworks.
• Guide advertisers through onboarding and launch readiness, ensuring successful setup of tracking, attribution, audience signals, and reporting.
• Troubleshoot technical issues related to implementation, signal quality, delivery, and measurement performance.
• Build compelling demos, proofs of concept, and technical narratives that demonstrate the value of OpenAI’s ads solutions.
• Partner cross-functionally with Product and Engineering to escalate issues, advocate for customer needs, and influence roadmap priorities.
• Create repeatable technical documentation, playbooks, and best practices that scale advertiser adoption globally.
• Help train internal sales and success teams on technical capabilities, integrations, and evolving product features.

Requirements

• Have 5+ years of experience in solutions engineering, sales engineering, technical account management, adtech, martech, or a related client-facing technical role.
• Have hands-on experience with digital advertising measurement, pixels, conversion APIs, mobile measurement, identity solutions, or CRM/data integrations.
• Understand advertiser ecosystems including tag managers, CDPs, analytics tools, attribution platforms, and data warehouses.
• Can explain complex technical concepts clearly to both technical practitioners and executive stakeholders.
• Have experience writing SQL, using APIs, debugging implementation issues, or working with structured datasets.
• Are comfortable operating in ambiguous, fast-moving environments and helping build processes from scratch.
• Demonstrate strong ownership, bias for action, and customer empathy.
• Care deeply about responsible platform growth, user trust, and long-term partner success.

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The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. The salary range for this role is $234K – $260K, with generous equity, performance-related bonuses for eligible employees, and the following benefits.

Benefits include:

• 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
• 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

About the Team

OpenAI’s mission is to ensure the responsible and widespread adoption of artificial intelligence. The Ads Solutions team partners closely with advertisers to deeply understand their businesses and needs, helping inform the development of products and solutions that drive meaningful revenue growth and long-term success on the platform,while maintaining strong standards for user trust and platform integrity.

About the Role

We’re looking for an Ads Solutions Engineer to partner with advertisers and agencies throughout the pre-sales and growth lifecycle, helping them successfully evaluate, launch, and scale on OpenAI’s advertising platform. You will serve as the technical expert in the sales process, translating advertiser objectives into scalable technical solutions across measurement, integrations, data activation, and campaign execution.

This role sits at the intersection of sales, product, and engineering. You’ll work closely with Client Partners, Customer Success Managers, Product, Engineering, Policy, and Operations teams to remove technical blockers, accelerate revenue growth, and shape the future of OpenAI’s ads platform.

Responsibilities

• Partner with Client Partners during the sales cycle to provide technical expertise that unlocks new business and accelerates deal closure.
• Lead technical discovery with advertisers and agencies to understand data flows, martech stack, measurement requirements, and activation goals.
• Design and recommend implementation approaches for pixels, APIs, server-to-server integrations, identity solutions, offline conversions, and measurement frameworks.
• Guide advertisers through onboarding and launch readiness, ensuring successful setup of tracking, attribution, audience signals, and reporting.
• Troubleshoot technical issues related to implementation, signal quality, delivery, and measurement performance.
• Build compelling demos, proofs of concept, and technical narratives that demonstrate the value of OpenAI’s ads solutions.
• Partner cross-functionally with Product and Engineering to escalate issues, advocate for customer needs, and influence roadmap priorities.
• Create repeatable technical documentation, playbooks, and best practices that scale advertiser adoption globally.
• Help train internal sales and success teams on technical capabilities, integrations, and evolving product features.

Requirements

• Have 5+ years of experience in solutions engineering, sales engineering, technical account management, adtech, martech, or a related client-facing technical role.
• Have hands-on experience with digital advertising measurement, pixels, conversion APIs, mobile measurement, identity solutions, or CRM/data integrations.
• Understand advertiser ecosystems including tag managers, CDPs, analytics tools, attribution platforms, and data warehouses.
• Can explain complex technical concepts clearly to both technical practitioners and executive stakeholders.
• Have experience writing SQL, using APIs, debugging implementation issues, or working with structured datasets.
• Are comfortable operating in ambiguous, fast-moving environments and helping build processes from scratch.
• Demonstrate strong ownership, bias for action, and customer empathy.
• Care deeply about responsible platform growth, user trust, and long-term partner success.

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The Okta SLED Accounts Solutions Engineering Team works with State, Local, and Higher Education (SLED) accounts across the US. As a Senior Manager, Solutions Engineering, SLED, you will lead a team of Solution Engineers.

Responsibilities

• Prioritise team success and work on professional growth through defined development plans.
• Own and report on the business impact of your team.
• Propose strategies to ensure the success of opportunities and participate in on-site deal support.
• Collaborate with Pre Sales teams and business units at Okta.
• Recruit, ramp, and mentor a team of great Solutions Engineers.

Requirements

• Demonstrated success selling to US Public Sector (SLED preferred, or FED) Agencies.
• Experience with MEDDPICC and Value/Outcome-based selling methodologies.
• Vision for Okta's opportunity in the market.
• 12+ years Pre Sales experience with 4+ years of managerial/leadership experience.
• Bachelor's of Science in engineering, science or mathematics or equivalent experience.

Nice to Have

• Expertise in security product market trends and Okta's roadmap.
• Knowledge around the Okta platform and competitor product offerings.
• Competency with security concepts and solutions.

Compensation The annual On Target Compensation (OTE) range for this position is between $252,000-$347,000 USD.

Benefits Okta offers equity, health, dental and vision insurance, 401(k), flexible spending account, and paid leave.

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As a Principal Customer Engineer, Majors at Cloudflare, you will play a crucial role in driving the company's technical go-to-market strategy. You will work closely with enterprise clients to understand their technical requirements and provide solutions that meet their needs.

Responsibilities

• Technical Validation: Partner with Account Executives to lead technical deep-dive discovery, capture business requirements, and map complex customer infrastructure to fit-for-purpose Cloudflare architectures and bespoke solutions.
• Customer Adoption & Value Realization: Provide oversight to technical onboarding and implementation, serving as the primary executive and engineering contact for the customer.
• Commercial Accountability & Expansion: Carry a variable quota tied directly to new business acquisition and/or ongoing account growth.
• Trusted Advisory: Act as a trusted technical advisor throughout the entire customer lifecycle, maintaining a continuous, deep relationship with key stakeholders.
• AI Orchestration & Workflow Automation: Leverage AI agents, Large Language Models (LLMs), and internal platforms to automate routine tasks.
• Education & Enablement: Partner closely with the Enablement Team to design, build, and govern technical resources.

Requirements

• Experience in a customer-facing technical role, such as Solutions Engineering, Customer Engineering, Professional Services, Sales Engineering, Technical Account Management, or as a Forward Deployed Engineer.
• Architectural Mindset: Ability to white-board, design, and articulate complex enterprise network and security architectures clearly.
• Consultative & Advisory Skills: Excellent communication skills with the ability to translate deeply technical concepts into business outcomes.
• Commercial Mindset: Proven track record of operating in a quota-carrying or revenue-aligned environment.
• Technical Breadth: Depth in at least four of the technical areas: Internet fundamentals, Security, Performance, AI Proficiency.

Nice to Have

• Technical Enablement: Track record of creating and delivering technical enablement that accelerates customer adoption of complex platforms.
• Applied AI Knowledge: Experience with LLM orchestration, Retrieval-Augmented Generation (RAG) architectures, and model-access controls.
• Regulatory Knowledge: Understanding of regulatory requirements such as PCI DSS, HIPAA, and SOC 2.
• Hyperscaler / Digital Native Background: Talent coming out of hyperscalers, digital natives, distributed systems environments, or startups.

Compensation

• Estimated annual salary is between €148,000 - €204,000 for Germany-based hires.
• This role is eligible to earn incentive compensation under Cloudflare's Sales Compensation Plan.
• Equity: This role is eligible to participate in Cloudflare's equity plan.

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Responsibilities

• Serve as a customer-facing technical expert for Hivemind autonomy solutions across the EURAF region, with emphasis on Poland, Eastern Europe, NATO, and allied defense customers.
• Support customer discovery, technical briefings, demonstrations, technical interchange meetings, and capture activities.
• Translate customer mission needs, CONOPs, operational objectives, and integration constraints into credible Hivemind solution concepts.
• Partner with Business Development and Capture teams to support RFIs, RFPs, proposals, white papers, demos, and customer-facing technical narratives.
• Explain Hivemind autonomy capabilities, limitations, roadmap considerations, and integration requirements to technical, operational, commercial, and leadership audiences.
• Develop and maintain technical sales assets, including capability briefs, demo scripts, solution templates, FAQs, technical white papers, and customer-specific briefing materials.
• Work closely with Product, Engineering, Customer Engagement, and Program teams to represent customer requirements, technical risks, roadmap gaps, and field feedback.
• Help customers evaluate how autonomy can support operational effectiveness, mission planning, force modernization, and fielded mission outcomes.
• Maintain strong product truth by ensuring customer-facing materials and discussions accurately reflect current capabilities, constraints, and roadmap timing.
• Monitor relevant developments in autonomy, AI, unmanned systems, mission software, defense technology, and regional defense modernization priorities to inform customer conversations and product feedback.
• Build trusted relationships with customer technical stakeholders, regional partners, and internal cross-functional partners.
• Operate independently across complex international customer engagements while keeping internal stakeholders aligned and informed.
• Support regional engagement strategies by tailoring technical messaging, demos, and solution concepts to Polish, Eastern European, NATO, and broader EURAF customer missions, operating environments, and partnership models.

Requirements

• 7+ years of experience in solutions engineering, field applications engineering, systems engineering, technical sales, autonomy, robotics, defense software, aerospace, or related technical customer-facing roles.
• Strong technical understanding of autonomy, AI-enabled systems, mission software, unmanned systems, robotics, or complex defense technology systems.
• Experience supporting customer-facing technical engagements such as demos, technical briefings, proposal support, integration discussions, technical interchange meetings, or operational workshops.
• Experience supporting international defense, security, aerospace, government, or advanced technology customers.
• Ability to translate customer mission needs into technically feasible solution concepts, requirements, demos, and product feedback.
• Strong written and verbal communication skills, with the ability to explain complex technical concepts to technical, operational, commercial, and leadership audiences.
• Ability to work cross-functionally with Business Development, Product Management, Engineering, Customer Engagement, and Program teams.
• Strong judgment in representing product capabilities, limitations, and roadmap dependencies to customers.
• Demonstrated ability to build trust with customers and internal stakeholders through technical credibility, responsiveness, and clear communication.
• Willingness and ability to travel internationally for customer engagements, demonstrations, exercises, and internal meetings.
• Professional fluency in Polish and English

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This role will support international defense simulation, training, test, and evaluation customers, with a focus on Spain, Europe, NATO, and allied defense partners. The Field Solutions Engineer will help customers understand how Shield AI and Aechelon capabilities can support next-generation synthetic battlespace environments, live-virtual-constructive ecosystems, and AI-enabled simulation use cases.

Responsibilities

• Serve as a customer-facing technical expert for Shield AI simulation, synthetic environment, and AI-enabled mission system capabilities.
• Support customer discovery, technical briefings, demonstrations, technical interchange meetings, RFIs, RFPs, proposals, white papers, and capture activities.
• Translate customer mission needs, training objectives, test requirements, CONOPs, and integration considerations into credible solution concepts.
• Support engagements involving advanced defense simulation, training, test, and evaluation environments across Spain, Europe, NATO, and allied markets.
• Explain image generation systems, synthetic environments, PAIBs, threat models, LVC architectures, sensor simulation, scenario generation, and AI-enabled synthetic agents to technical, operational, commercial, and leadership audiences.
• Partner with Business Development, Capture, Product, Engineering, Customer Engagement, Program, and technical teams to represent customer requirements, risks, roadmap gaps, and field feedback.
• Help customers evaluate how advanced simulation and synthetic environments can support operational training, mission rehearsal, test and evaluation, experimentation, force modernization, and AI/autonomy development.
• Develop technical sales assets, including capability briefs, demo scripts, solution templates, FAQs, white papers, technical explainers, and customer-specific briefing materials.
• Maintain product truth by ensuring customer-facing materials and discussions accurately reflect current capabilities, constraints, roadmap timing, and integration considerations.
• Build trusted relationships with customer technical stakeholders, operational users, acquisition stakeholders, regional partners, and internal cross-functional teams.

Requirements

• 7+ years of experience in modeling and simulation, training systems, test and evaluation, image generation systems, synthetic environments, defense software, aerospace systems, solutions engineering, systems engineering, field applications engineering, technical sales, or related technical customer-facing roles.
• Direct hands-on experience with advanced defense simulation, training, or test environments, or similar synthetic battlespace ecosystems.
• Practical experience with image generation systems, platform-in-a-box systems, synthetic environments, threat models, constructive entities, sensor simulation, scenario generation, or live-virtual-constructive environments.
• Strong understanding of how simulation systems are used for operational training, mission rehearsal, experimentation, test and evaluation, and capability development.
• Experience supporting customer-facing technical engagements, proposal efforts, integration discussions, technical interchange meetings, or operational workshops.
• Ability to translate customer requirements, mission needs, training objectives, and technical constraints into feasible solution concepts, requirements, demos, and product feedback.
• Strong written and verbal communication skills, with the ability to explain complex technical systems to technical, operational, commercial, and leadership audiences.
• Ability to work cross-functionally with Business Development, Product, Engineering, Customer Engagement, Program teams, technical SMEs, and regional partners.
• Strong judgment in representing product capabilities, limitations, roadmap dependencies, and integration considerations to customers.
• Willingness and ability to travel internationally for customer engagements, demonstrations, exercises, and internal meetings.
• Professional fluency in Spanish and English.

Benefits

• Help build the defining defence technology company of this century.
• Work at the forefront of AI, autonomy, and next-generation defence systems.
• Operate in a highly entrepreneurial and mission-driven environment.
• Make a direct impact on international growth and strategic defence partnerships.
• Collaborate with exceptional teams solving some of the world’s most complex operational challenges.

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Responsibilities

• Serve as a customer-facing technical expert for Hivemind autonomy solutions across the EURAF region.
• Support customer discovery, technical briefings, demonstrations, technical interchange meetings, and capture activities.
• Translate customer mission needs, CONOPs, operational objectives, and integration constraints into credible Hivemind solution concepts.
• Partner with Business Development and Capture teams to support RFIs, RFPs, proposals, white papers, demos, and customer-facing technical narratives.
• Explain Hivemind autonomy capabilities, limitations, roadmap considerations, and integration requirements to technical, operational, commercial, and leadership audiences.
• Develop and maintain technical sales assets, including capability briefs, demo scripts, solution templates, FAQs, technical white papers, and customer-specific briefing materials.
• Work closely with Product, Engineering, Customer Engagement, and Program teams to represent customer requirements, technical risks, roadmap gaps, and field feedback.
• Help customers evaluate how autonomy can support operational effectiveness, mission planning, force modernization, and fielded mission outcomes.
• Maintain strong product truth by ensuring customer-facing materials and discussions accurately reflect current capabilities, constraints, and roadmap timing.
• Monitor relevant developments in autonomy, AI, unmanned systems, mission software, defense technology, and EURAF regional defense modernization priorities to inform customer conversations and product feedback.
• Build trusted relationships with customer technical stakeholders, regional partners, and internal cross-functional partners.
• Operate independently across complex international customer engagements while keeping internal stakeholders aligned and informed.
• Support regional engagement strategies by tailoring technical messaging, demos, and solution concepts to EURAF customer missions, operating environments, and partnership models.

Requirements

• 7+ years of experience in solutions engineering, field applications engineering, systems engineering, technical sales, autonomy, robotics, defense software, aerospace, or related technical customer-facing roles.
• Strong technical understanding of autonomy, AI-enabled systems, mission software, unmanned systems, robotics, or complex defense technology systems.
• Experience supporting customer-facing technical engagements such as demos, technical briefings, proposal support, integration discussions, technical interchange meetings, or operational workshops.
• Experience supporting international defense, security, aerospace, government, or advanced technology customers.
• Ability to translate customer mission needs into technically feasible solution concepts, requirements, demos, and product feedback.
• Strong written and verbal communication skills, with the ability to explain complex technical concepts to technical, operational, commercial, and leadership audiences.
• Ability to work cross-functionally with Business Development, Product Management, Engineering, Customer Engagement, and Program teams.
• Strong judgment in representing product capabilities, limitations, and roadmap dependencies to customers.
• Demonstrated ability to build trust with customers and internal stakeholders through technical credibility, responsiveness, and clear communication.
• Willingness and ability to travel internationally for customer engagements, demonstrations, exercises, and internal meetings.
• Ability to work from or regularly support activities in London, United Kingdom.
• Professional fluency in English.

Benefits

• Help build the defining defence technology company of this century.
• Work at the forefront of AI, autonomy, and next-generation defence systems.
• Operate in a highly entrepreneurial and mission-driven environment.
• Make a direct impact on international growth and strategic defence partnerships.
• Collaborate with exceptional teams solving some of the world’s most complex operational challenges.

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The successful candidate will own the positioning and enablement of the DSX platform to ODM partners, ensuring successful design-in and ongoing adoption of the data center blueprint. You will serve as the primary interface between ODM partners and the internal DSX product team, aggregating and communicating partner feedback on stack usability, deployment gaps, and real-world constraints.

Key responsibilities include:

• Positioning and promoting the DSX platform to ODM partners
• Leading DSX onboarding and build-in engagements with ODM partners
• Maintaining continuous ODM alignment with the DSX data center framework throughout the delivery lifecycle
• Serving as the primary interface between ODM partners and the internal DSX product team
• Developing and sustaining constructive connections with leadership in ODM engineering

The ideal candidate will have:

• 15+ years of experience in product management, technical enablement, or solutions engineering
• Hands-on experience with L12 or L13 delivery from the ODM side
• Demonstrated ability to enable external partners to adopt a complex technical stack
• Strong grasp of data center architecture and infrastructure layers
• Excellent written and verbal communication skills

Benefits include equity and a comprehensive benefits package.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until May 5, 2026.

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In this role, you will work directly with Fin's biggest customers to deploy and optimize Fin's AI-powered customer support solutions, driving measurable success and gathering insights to inform product development.

Responsibilities

• Own outcomes for a portfolio of strategic customers deploying Fin
• Understand customers' businesses, support operations, and technical environments to propose effective deployment plans
• Run the full deployment lifecycle, including pitching and demoing Fin, scoping solutions, configuring products, and unblocking obstacles
• Serve as the AI expert in the room, educating customers on how to achieve outstanding results with Fin
• Collaborate with Sales, Success, and R&D to ensure seamless deployments
• Turn field learnings into product improvements, shaping the roadmap with evidence-backed input
• Develop deployment playbooks, patterns, and best practices to accelerate future deployments

Requirements

• Customer obsession with deep empathy and a bias for action
• Excellent communication and storytelling skills
• Technical fluency, with the ability to discuss modern tech stacks with engineers and customers
• Evidence-based thinking, using data to inform deployment plans and roadmap decisions
• Cross-functional influence, navigating organizational boundaries to achieve customer success
• Comfort with ambiguity, thriving in fast-changing environments
• Operational rigor, managing multiple deployments and priorities with structure and organization

Nice to Have

• Experience building product for enterprise customers
• Startup or B2B SaaS experience
• Background in technical consulting, solutions engineering, or customer success

The base salary range for candidates within the San Francisco Bay Area is $199,800 - $222,000.

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As a Technical Account Manager (TAM), you will serve as a trusted technical advisor to some of Figma's largest enterprise customers, working closely with customer enablement, sales, and product teams to guide sophisticated implementations involving identity systems, APIs, integrations, governance, and extensibility.

This role sits at the intersection of customer success, enterprise architecture, and developer workflows, with a goal of reducing technical risk, accelerating adoption, and ensuring customers are set up for long-term success.

Responsibilities:

• Serve as a strategic technical advisor for enterprise customers, helping them adopt and scale Figma in alignment with their business and technical goals
• Lead structured technical engagements that assess customers' current environments, identify risks or gaps, and provide clear, prescriptive guidance for successful implementation
• Guide customers through enterprise API usage and system integrations, helping them extend Figma's capabilities within their broader technology ecosystems
• Partner with developer teams to improve design-to-code workflows, including Dev Mode adoption, extensibility initiatives, and other emerging platform capabilities (Code to Canvas)
• Deliver technical workshops and training sessions to help customers confidently use sophisticated platform features
• Collaborate cross-functionally with sales, customer experience, and product teams to ensure customers receive cohesive and high-impact technical guidance
• Surface technical insights and opportunities that support renewals, expansion, and long-term account growth
• Build strong relationships with technical stakeholders and executive sponsors by clearly translating technical concepts into business value

Requirements:

• 5+ years of experience in technical account management, solutions engineering, enterprise customer success, or a related technical advisory role within a SaaS organization
• A solid understanding of enterprise systems, APIs, integrations, development frameworks, and identity management frameworks
• Experience advising on or implementing AI-powered solutions within enterprise environments, including evaluating architectural considerations, governance requirements, and integration strategies for emerging AI technologies
• Superb communication skills and the ability to confidently engage both technical and non-technical audiences
• A consultative mentality and a passion for navigating multiple stakeholders within complex customer environments helping tackle technical challenges

Benefits:

• Health, dental, and vision coverage
• Retirement benefits with company contributions
• Parental leave and reproductive or family planning support
• Mental health and wellness benefits
• Paid time off
• Company recharge days
• Cell phone and home internet reimbursements
• Lifestyle spending accounts

Salary: $140,000 - $296,000 USD per year

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You’ll partner closely with Field Engineers on enterprise and strategic accounts, focusing on activation and providing crisp, engaging sessions that drive early adoption.

Responsibilities

• Lead Cursor 101s, live demos, and onboarding sessions for prospective and existing customers
• Deliver clear, structured, and engaging walkthroughs tailored to different stacks and use cases
• Continuously refine demo flows and onboarding materials to improve quality and consistency
• Partner with Field Engineers to support enterprise accounts and provide clean handoffs for deeper technical work
• Run onboarding refreshers and “what’s new” sessions to expand adoption post-sale
• Track onboarding effectiveness and identify patterns that improve activation and engagement

Requirements

• 2–4 years of experience in solutions engineering, technical enablement, developer support, or similar roles
• Strong presentation skills, confidence in running live demos, and ability to explain technical concepts clearly
• Technical fluency in developer workflows, with familiarity with AI tools being a plus
• High reliability, preparation, and comfort in fast-paced environments
• Coachability, collaboration, and good judgment on when to escalate or go deeper
• Motivation to help users get to value quickly and drive real product adoption

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Join Anthropic as a Customer Success Manager supporting our Beneficial Deployments team's initiatives in Life Sciences. As a Customer Success Manager for Life Sciences, you'll be a strategic partner and trusted advisor to the world's leading organizations working to accelerate scientific discovery.

You will help them harness the full potential of Claude's capabilities across the API, Claude for Enterprise, Claude Code, and Claude Science to accelerate their scientific work.

This is a hybrid role that blends deep 1:1 account management with scaled, one-to-many programs.

You'll own a portfolio of named strategic accounts, such as research institutes, academic medical centers, scientific foundations, and mission-driven biotech, where you'll build genuine partnerships grounded in a deep understanding of their research mission, scientific objectives, programmatic goals, and technical capacity.

You will help these organizations scale their usage effectively, drive model and use case optimization, implement change management strategies, and maximize the value of their investment through expanded use cases across their organization.

Alongside that portfolio, you'll design and run a handful of one-to-many engagement programs, including webinars, hackathons, cohort-based enablement, and researcher communities, that extend Claude's impact across the broader life sciences ecosystem well beyond any single partner relationship.

The insights you gather from these partnerships will directly inform our research priorities, product development (including how Claude for Life Sciences evolves), and strategies for beneficial AI deployment, making you a key voice in shaping how we build and deliver AI systems that accelerate science for the benefit of society.

Key Responsibilities:

• Build trusting, strategic relationships with research leaders, principal investigators, program directors, and IT teams to understand their organizational goals, scientific priorities, and impact objectives, identifying opportunities for optimization and expanded AI deployment in service of their research mission
• Become an expert in Anthropic's products across the API, Claude for Enterprise, Claude Code, and Claude for Life Sciences (including scientific tool integrations and agent skills), understanding the technical nuances and best practices for each to guide partners to the right solutions
• Monitor usage patterns and proactively drive adoption across your 1:1 accounts, identifying optimization opportunities and discovering new applications for Claude
• Develop and execute change management strategies appropriate for scientific and academic organizational cultures, driving adoption through Train the Trainer programs, Center of Excellence development, and organizational enablement that respects partner capacity constraints, governance requirements, and decision-making processes
• Establish the repeatable playbooks, templates, and health metrics that define what "great" looks like for both dedicated and scaled customer success in life sciences at Anthropic
• Design and run one-to-many engagement programs for the life sciences community, such as live and on-demand webinars, hackathons and build days, cohort-based onboarding, office hours, and researcher user communities, that move a broad set of organizations from signed to activated and extend impact beyond individual partner relationships
• Guide partners through the technical and governance foundation for launch, including SSO and provisioning, workspace configuration, and data handling considerations relevant to research and health data (such as HIPAA, IRB, and institutional data policies), so research and IT leaders trust the deployment from day one
• Document and quantify value realized through research productivity, time-to-insight, program effectiveness, cost savings, and mission amplification to build compelling cases for continued investment in AI, and partner with Marketing to develop success stories and reference accounts

Requirements:

• 6+ years of experience in Customer Success, Technical Account Management, or Solutions Engineering
• 3+ years of experience in life sciences research with ample exposure to the intersection of new technologies as a catalyst for accelerating progress
• Experience working directly with life sciences organizations, such as academic research institutions, nonprofit research institutes, foundations, biotech, or pharma, and familiarity with how scientific research is conducted, funded, and governed.
• Deep understanding of regulations, risk, and compliance needs of the industry
• Experience driving success across both consumption-based and seat-based business models, with understanding of different expansion levers and success metrics for each
• Experience designing and delivering one-to-many customer programs (webinars, hackathons, cohort-based onboarding, user communities, or similar) alongside managing dedicated strategic accounts
• Operate data-driven and AI-first, using adoption signals and program effectiveness to guide decisions and building agentic, Claude-powered workflows into how you engage partners, so the scaled motion runs on automation rather than heroics and your time goes where it does the most public good
• Technical fluency with the ability to understand and articulate AI/ML concepts, API integrations, and software implementation patterns; familiarity with scientific data types, research workflows, or bioinformatics tooling is a strong plus
• Experience explaining and demonstrating technical products to diverse audiences, from bench scientists and computational researchers to institutional leadership
• Strategic mindset to identify growth opportunities for expanded scientific and health impact and translate them into actionable expansion plans
• Passion for both AI and accelerating scientific progress, with strong interest in ensuring frontier AI systems are developed safely, ethically, and deployed to benefit society
• A knack for bringing order to chaos and an enthusiastic "roll up your sleeves" mentality. You are a true team player

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As a Customer Engineer at Cloudflare, you will be the core driver of our technical go-to-market strategy, a trusted technical advisor and primary architect of the customer journey. You will bridge the gap between technical strategy and business value, guiding enterprise clients from initial pre-sales technical validation through onboarding, deployment architecture, and full lifecycle expansion.

Key Responsibilities

• Technical Validation: Partner with Account Executives to lead technical deep-dive discovery, capture business requirements, and map complex customer infrastructure to fit-for-purpose Cloudflare architectures and bespoke solutions.
• Customer Adoption & Value Realization: Provide oversight to technical onboarding and implementation, serving as the primary executive and engineering contact for the customer.
• Commercial Accountability & Expansion: Carry a variable quota tied directly to new business acquisition and/or ongoing account growth.
• Trusted Advisory: Act as a trusted technical advisor throughout the entire customer lifecycle, maintaining a continuous, deep relationship with key stakeholders.
• AI Orchestration & Workflow Automation: Leverage AI agents, Large Language Models (LLMs), and internal platforms to automate routine tasks.
• Education & Enablement: Partner with the Enablement Team to design, build, and govern technical resources.

Requirements

• Fluency in English and Turkish and/or Arabic (written and spoken).
• Experience in a customer-facing technical role, such as Solutions Engineering, Customer Engineering, Professional Services, Sales Engineering, Technical Account Management, or as a Forward Deployed Engineer.
• Architectural Mindset: Ability to white-board, design, and articulate complex enterprise network and security architectures clearly.
• Consultative & Advisory Skills: Excellent communication skills with the ability to translate deeply technical concepts into business outcomes.
• Commercial Mindset: Proven track record of operating in a quota-carrying or revenue-aligned environment.
• Technical Breadth: Depth in at least four of the technical areas: Internet fundamentals, Security, Performance, AI Proficiency, Coding/Scripting, Developer Platform Fluency.

Nice to Have

• Technical Enablement: Track record of creating and delivering technical enablement that accelerates customer adoption of complex platforms.
• Applied AI Knowledge: Experience with LLM orchestration, Retrieval-Augmented Generation (RAG) architectures, and model-access controls.
• Regulatory Knowledge: Understanding of regulatory requirements such as PCI DSS, HIPAA, and SOC 2.
• Hyperscaler / Digital Native Background: Talent coming out of hyperscalers, digital natives, distributed systems environments, or startups.

Benefits

Cloudflare offers a range of benefits, including opportunities for professional growth and development, a collaborative and dynamic work environment, and a commitment to diversity and inclusion.

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Our ideal candidate is passionate about the transformative possibilities of AI voice technology, and eager to act as a strategic partner - enabling organizations to leverage our industry-leading models and product to reimagine their customer experience, internal workflows, and monetization strategies.

In this role you will:

• Build and manage a growing portfolio of new accounts across industries adopting conversational AI to help ElevenLabs meet its revenue goals
• Identify new business opportunities where ElevenLabs’ conversational AI capabilities can drive user engagement, automation, or cost efficiency
• Develop and maintain a deep understanding of the conversational AI landscape, including customer use cases, competitive solutions, and emerging trends
• Demonstrate expertise,or a strong willingness to learn,about conversational AI and how ElevenLabs’ voice technology can unlock value across customer support, virtual agents, in-app assistants, and more
• Develop and execute account strategies to expand ElevenLabs’ presence within key enterprise verticals (e.g., healthcare, government, finance)
• Partner closely with customer success and solutions engineering to ensure smooth onboarding and expansion of accounts
• Serve as a trusted advisor to clients, educating them on emerging trends in generative AI, voice interfaces, and conversational agents

Requirements

• 7+ years of quota‑carrying enterprise sales experience in SaaS or technology, ideally with exposure to AI, generative AI, LLM-based products, or API‑driven platforms
• Proven success closing seven‑figure deals and managing complex sales cycles with multiple stakeholders
• Deep understanding of enterprise procurement and legal processes, with ability to accelerate deal velocity
• Experience selling technical solutions to product and engineering leaders; ability to translate complex technology into business value
• Strong executive presence and ability to build relationships at the C‑suite and board level
• Comfort operating in an early‑stage, high‑growth environment, including building new playbooks and iterating quickly
• Passion for voice and audio AI and how it can unlock transformative value for customers
• A hybrid of customer & product-driven mentality that prioritizes client satisfaction & scale

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We are seeking a Lead Technical Instructor to join our team in New York City. As a Lead Technical Instructor, you will deliver hands-on technical instruction across Anthropic's onboarding, residency, and technical enablement programs. You will also develop other instructors, run train-the-trainer programs, and improve the quality and consistency of technical instruction across programs.

Key Responsibilities

• Deliver hands-on technical instruction across Anthropic's programs in New York and remotely across European time zones.
• Model excellent technical teaching for various audiences, adapting to different experience levels and technical depths.
• Run train-the-trainer programs for internal experts, contract instructors, and training partners.
• Coach and calibrate instructors through live and recorded observations, feedback, and recommendations.
• Partner with technical experts to create effective sessions, labs, exercises, and demonstrations.
• Own instructional quality in assigned programs and ensure delivery meets Anthropic's standards.
• Use learner and instructor data to identify gaps in instruction and recommend improvements.
• Help evolve Anthropic's technical instruction function, bringing your experience into standards, instructor development practices, and scaling quality.

Requirements

• 6+ years of relevant professional experience in software engineering, solutions engineering, developer advocacy, technical education, or a similar technically deep role.
• 3+ years of hands-on technical instruction experience, including teaching engineers in live environments.
• Production engineering experience with written and shipped production software.
• Recent hands-on AI development experience with LLM APIs, agents, tool use, MCP, or related technologies.
• Instructor development experience with helping other instructors improve.
• New York City location or willingness to relocate.

Preferred Qualifications

• Experience designing or operating a train-the-trainer, instructor certification, or observer-calibration program.
• A portfolio of sessions, labs, or courses designed and taught.
• Experience teaching across time zones or to European audiences.
• Experience using Claude Code or a comparable agentic coding tool.
• Experience building with the Claude Developer Platform.
• Public speaking, conference workshops, or developer advocacy experience.
• Deep enthusiasm for AI and a commitment to building and deploying it responsibly.

Logistics

• Annual Salary: $1-$2 USD

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You will build Anthropic's technical instruction function. You will be the first person at Anthropic whose full-time job is technical instruction. You'll spend your first year primarily in the room, teaching engineers, architects, and other technical practitioners, and build the people, standards, and systems that allow Anthropic's technical instruction to scale.

This is a player-coach role. You'll lead sessions yourself, manage a bench of technical instructors, set the bar for what 'ready to teach' means, and certify others to teach to that bar both inside and outside Anthropic. You'll have real ownership: you'll decide who is cleared to teach in Anthropic's technical programs.

Key responsibilities

• Lead from the front: Deliver hands-on technical instruction across Anthropic's onboarding and residency programs.
• Build the instructor bench: Hire, onboard, manage, and develop technical instructors.
• Set the quality bar: Define what excellent technical instruction looks like at Anthropic.
• Scale through certification: Design and run train-the-trainer programs for internal experts, contract instructors, and facilitators from our training partners.
• Turn expertise into great instruction: Partner with Technical Enablement Leads to transform technical content into sessions, labs, and exercises that work in a live room.
• Enable programs without owning them: Partner with our onboarding and Training & Certification teams to staff programs with cleared instructors.
• Measure and improve: Establish meaningful measures of learner outcomes and instructor quality.

Minimum qualifications

• 8+ years of relevant professional experience across software engineering, solutions engineering, developer advocacy, technical education, or related technical roles.
• 4+ years of hands-on technical instruction: You have taught engineers in live, hands-on settings, across different audience sizes and levels of technical depth.
• Production engineering experience: You have written and shipped production code and can engage credibly with experienced engineers on architecture, implementation, debugging, and technical tradeoffs.
• Recent hands-on AI development: Within the past three years, you have built or debugged applications using LLM APIs, agent frameworks, tool use, MCP, or similar technologies.
• People leadership: You have managed instructors, trainers, developer advocates, solutions engineers, or similar technical practitioners, including hiring, coaching, performance management, and development.
• Instructor development: You have designed or run a train-the-trainer program, instructor certification process, observation framework, or comparable system for evaluating and improving instructor quality.

Preferred qualifications

• A portfolio you can show us: sessions, labs, or courses you built and taught, and a rubric, certification, or TTT program you designed for others.
• Experience building an instruction or developer-education function from scratch.
• Experience managing a contractor or vendor-supplied instructor bench, or certifying instructors across regions from recordings or through trained observers.
• Experience with Claude Code, or a comparable agentic coding tool, as core infrastructure in your daily work.
• Public speaking, conference workshops, or community-facing developer advocacy.
• Deep enthusiasm for AI and genuine care about building it responsibly.

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We are looking for a Technical Instructor Lead in New York to help bring our technical instruction standards to life.

About half of your time will be spent delivering ILT hands-on technical instruction in New York and remotely across European time zones. The other half will be spent developing other instructors, running train-the-trainer programs, and improving the quality and consistency of technical instruction across programs.

You are an engineer who teaches and a teacher who makes other teachers better. You can build an agent live in front of a skeptical staff engineer, diagnose a broken lab while a room of learners waits, and adapt when a lesson is not landing. You can also watch another instructor teach for ten minutes and identify the one change that will materially improve their next session.

Key Responsibilities:

• Deliver hands-on technical instruction across Anthropic's onboarding, residency, and technical enablement programs, in person in New York and remotely across European time zones.
• Model excellent technical teaching for audiences ranging from small, interactive labs to 100+ technical practitioners, adapting to different levels of experience and technical depth.
• Run train-the-trainer programs for internal experts, contract instructors, and training partners, using Anthropic's practice-teach, feedback, and certification processes.
• Coach and calibrate instructors through live and recorded observations, actionable feedback, and recommendations on readiness to teach specific content.
• Partner with technical experts to turn subject matter expertise into effective sessions, labs, exercises, and demonstrations, and improve content based on what happens in the room.
• Own instructional quality in assigned programs, staffing yourself and cleared instructors into East Coast program calendars and ensuring delivery meets Anthropic's standards.
• Use learner and instructor data to identify gaps in instruction and recommend improvements to curriculum, delivery, and instructor development.
• Help evolve Anthropic's technical instruction function, bringing your experience from the room into our standards, instructor development practices, and approach to scaling quality.

Minimum Qualifications:

• 6+ years of relevant professional experience across software engineering, solutions engineering, developer advocacy, technical education, or another technically deep role.
• 3+ years of hands-on technical instruction, including teaching engineers in live environments both in person and remotely.
• Production engineering experience.
• Recent hands-on AI development.
• Instructor development experience.
• New York City location or willingness to relocate.

Preferred Qualifications:

• Experience designing or operating a train-the-trainer, instructor certification, or observer-calibration program.
• A portfolio of sessions, labs, or courses you have designed and taught, plus material you created so others could teach it.
• Experience teaching across time zones or to European audiences, including coaching instructors from recorded sessions.
• Experience using Claude Code or a comparable agentic coding tool as a significant part of your engineering workflow.
• Experience building with the Claude Developer Platform through Amazon Bedrock, Google Vertex AI, Microsoft Foundry, or comparable infrastructure.
• Experience with public speaking, conference workshops, or developer advocacy.
• Deep enthusiasm for AI and a genuine commitment to building and deploying it responsibly.

The annual compensation range for this role is $1-$2 USD.

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You will build Anthropic's technical instruction function. You will be the first person at Anthropic whose full-time job is technical instruction. You'll spend your first year primarily in the room, teaching engineers, architects, and other technical practitioners, and build the people, standards, and systems that allow Anthropic's technical instruction to scale.

This is a player-coach role. You'll lead sessions yourself, manage a bench of technical instructors, set the bar for what 'ready to teach' means, and certify others to teach to that bar both inside and outside Anthropic. You'll have real ownership: you'll decide who is cleared to teach in Anthropic's technical programs.

Key responsibilities

• Lead from the front: Deliver hands-on technical instruction across Anthropic's onboarding and residency programs
• Build the instructor bench: Hire, onboard, manage, and develop technical instructors
• Set the quality bar: Define what excellent technical instruction looks like at Anthropic
• Scale through certification: Design and run train-the-trainer programs for internal experts, contract instructors, and facilitators from our training partners
• Turn expertise into great instruction: Partner with Technical Enablement Leads to transform technical content into sessions, labs, and exercises that work in a live room
• Enable programs without owning them: Partner with our onboarding and Training & Certification teams to staff programs with cleared instructors
• Measure and improve: Establish meaningful measures of learner outcomes and instructor quality

Minimum qualifications

• 8+ years of relevant professional experience across software engineering, solutions engineering, developer advocacy, technical education, or related technical roles
• 4+ years of hands-on technical instruction
• Production engineering experience
• Recent hands-on AI development
• People leadership
• Instructor development
• Location: Based in San Francisco or willing to relocate

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As a Forward Deployed Engineer, you'll embed directly with strategic customers, working across their codebases, design systems, developer environments, and workflows to make Figma's products successful within their unique technical constraints. You'll tackle the hardest adoption challenges hands-on, from complex frontend stacks and legacy systems to security and access requirements, while building trusted partnerships with customers' senior engineering teams.

This is a senior/staff-level engineering role within Product and Engineering, not a sales or services function. You'll write Figma product code and turn insights from the field into scalable improvements that make the path easier for every customer that follows. Working closely with Figma's Product, Engineering, Sales, and Customer Experience teams, you'll help shape both the product and the playbook for a brand-new function.

Responsibilities:

• Make an enterprise design system agent-ready so AI tools generate faithful, on-system code
• Get Figma products working in a customer's real environment, writing code, config, agent skills, and guideline files against their systems and ours
• Run technical discovery to understand a customer's dev environment, toolchain, and constraints
• Debug hard, unfamiliar integration problems
• Build LLM-powered workflows
• Turn one-off solutions into reusable playbooks and product feedback

Requirements:

• 5+ years of experience shipping production software end-to-end
• Strong engineering fundamentals and adaptability
• Experience with design systems and design-to-code workflows
• Excellent customer-facing communication and technical partnership skills
• Proficiency in TypeScript/JavaScript or Python

Preferred Skills:

• Comfort operating in ambiguous, evolving problem spaces
• Strong product mindset
• Background in forward-deployed engineering, solutions engineering, professional services, or a similar customer-facing technical role
• Familiarity with developer tools, design-to-code workflows, or AI/LLM products

Benefits:

• Competitive package of additional benefits, including health, dental, and vision coverage
• Retirement benefits with company contributions
• Parental leave and reproductive or family planning support
• Mental health and wellness benefits
• Paid time off
• Company recharge days, cell phone and home internet reimbursements, and lifestyle spending accounts

Salary: $153,000-$376,000 USD

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The Staff Solutions Engineer will provide technical expertise and support to customers prior to the sale of Shield AI Aircraft and other products. This role involves collaborating closely with customers to understand their requirements and demonstrating how Shield AI's solutions can meet their needs.

Responsibilities:

• Lead technical capture efforts for European opportunities, ensuring solutions are technically sound, feasible, and aligned with Shield AI's product roadmap.
• Manage multiple priorities in a dynamic, fast-paced environment, including customer engagements, pre-sales technical support, proposal contributions, and solution development.
• Develop and execute technical strategies that result in high-quality, compliant, and compelling proposals to maximize win probability.
• Serve as the primary technical lead for BD engagements in Europe, interfacing cross-functionally with BD, BD Operations, Engineering, Operations, Program Management, and Product Management to ensure customer needs are met.
• Manage technical content for proposals, requests for information (RFIs), white papers, and capability briefs, ensuring accuracy, clarity, and compliance.
• Support BD and Account Executives by becoming a Subject Matter Expert in Shield AI products, providing technical expertise in customer engagements, capability briefings, and solution discussions to drive successful sales outcomes.
• Act as a liaison between BD and Engineering, ensuring that new customer requests are technically feasible and align with product capabilities, timelines, and roadmaps.
• Contribute to the technical documentation repository, maintaining capability briefs, specifications, FAQs, and other sales collateral for internal and external use.
• Provide training and mentorship to BD teams on technical aspects of Shield AI's solutions, enabling them to articulate our value proposition confidently.
• Support competitive analysis and market intelligence, ensuring the BD team remains informed on industry trends and competitor capabilities.
• Contribute to process improvement efforts, leveraging lessons learned from customer engagements to refine BD workflows and technical capture strategies.
• Analyze the unique operational and environmental factors of the assigned region, producing high-impact white papers and briefs that inform the product roadmap and drive solutions aligned to customer mission needs.

Required qualifications:

• 5+ years of experience in technical presales, business development, or solutions engineering, preferably in defense, aerospace, AI-driven technology, or U.S. Federal/International government environments.
• Bachelor's degree in engineering or related field.
• Experience working with U.S. Federal or International government requirements.
• Strong technical acumen in Aircraft, UAS, multispectral sensor systems, AI, autonomy, and defense technology (experience with V-BAT, Hivemind, and Vision Systems preferred).
• Outstanding analytical and quantitative problem-solving skills, with a demonstrated aptitude for technical assessments and solution development.
• Strong technical writing ability to author requests for information, abstracts, and quad charts.
• Proven leadership experience in a work setting and/or through extracurricular activities.
• Exceptional communication skills, with the ability to translate complex technical concepts into clear, compelling messaging for both technical and non-technical stakeholders.
• Ability to work collaboratively in a cross-functional team environment and effectively engage with stakeholders at all levels of an organization.
• Track record of high performance, including a demonstrated work ethic, reliability as a teammate, kindness, and commitment to high standards.
• Ability to thrive in a fast-paced, nontraditional defense contractor environment.

Preferred qualifications:

• Experience managing Foreign Military Sale and Direct Commercial Sale proposals.
• Strong technical background especially with Unmanned Aircraft Systems (UASs).
• Demonstrated thorough understanding and knowledge of the military operations and the acquisition process.
• 3+ years of experience in an presales/solutions engineering role.
• 3+ years of experience working in a startup environment.
• Demonstrated understanding of specific DoD operational scenarios and systems.
• Active DoD security clearance.

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About the Team Mixpanel's Customer Engineering team is a cross-functional group of highly technical problem solvers focused on driving customer outcomes across the full commercial lifecycle. Customer Engineers are the technical face of Mixpanel in the field , connecting prospect business problems to Mixpanel's technical capabilities, running sharp evaluations, and ensuring every customer who signs has a clear, fast path to value.

About the Role The Customer Engineer owns the pre-sales technical journey , from discovery and technical fit assessment through competitive positioning, demo, and POC. You establish whether Mixpanel is the right technical fit before committing to a proof of concept, and when you do run one, you design it to be immediately actionable by the Delivery Engineer: focus metric defined, data validated, success criteria agreed upon.

Responsibilities

• Lead technical discovery, establishing the prospect's business challenges, technical environment, and qualification before committing to a POC.
• Design and deliver tailored, research-backed demos that connect Mixpanel's capabilities to the prospect's specific business outcomes.
• Establish technical fit , confirm the prospect's stack is a match and scope what a meaningful proof requires before the POC begins.
• Own competitive technical positioning , be the definitive answer to why Mixpanel over Amplitude, PostHog, and warehouse-native alternatives.
• Run tightly structured POCs with defined success criteria, a named focus metric, and a handoff package the Delivery Engineer can execute from immediately.
• Return post-sale for cross-sell and strategic expansion requiring a new technical evaluation on a new surface or product.
• Partner with Account Executives on deal strategy, technical objection handling, and expansion planning.
• Stay close to Delivery Engineers to understand production realities , your POCs should reflect what actually works in production.

We're Looking For Someone Who Has

• 3–5+ years of experience in Solutions Engineering, Sales Engineering, or a technical pre-sales role at a B2B SaaS company.
• Technical foundation in data analytics, event tracking, APIs, data warehouses, or adjacent domains.
• Commercial instinct , you understand that your job is to win deals and you orient your work accordingly.
• Demonstrated ability to run structured POCs with defined success criteria and measurable outcomes.
• Clear, compelling communication to technical and non-technical audiences.
• Competitive knowledge of the analytics landscape, or the ability to build it quickly.

Benefits and Perks

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

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Join Anthropic's Customer Success team as a strategic partner and trusted advisor to complex customers, helping them harness the full potential of Claude capabilities.

Responsibilities:

• Build trusting relationships with key customer decision-makers to understand their business objectives and identify opportunities for optimization and expansion.
• Become an expert in Anthropic's products, including API, Claude Code, and Claude for Enterprise, to guide customers to the right solutions.
• Leverage deep knowledge of the customer and their industry to drive usage planning and optimization.
• Monitor usage patterns, identify optimization opportunities, and proactively address underutilization.
• Serve as a thought partner, enhancing customers' knowledge of Claude products and driving awareness of new products.
• Document and quantify customer value realized through business outcomes, ROI, and impact metrics.
• Identify potential use cases and lines of business not currently onboarded.
• Develop and execute change management strategies to drive end-user adoption and maximize value.
• Own the customer experience across their lifecycle, managing comprehensive account and success plans.
• Develop scalable engagement strategies and playbooks for the Industry portfolio.

Requirements:

• 6+ years of experience in Customer Success, Technical Account Management, or Solutions Engineering.
• Experience working with enterprises in Systems Integrator industries.
• Technical fluency with AI/ML concepts, API integrations, and software implementation patterns.
• Experience driving success across consumption-based and seat-based business models.
• Strategic mindset to identify growth opportunities and translate them into actionable expansion plans.
• Proven track record managing a portfolio of accounts while maintaining strong relationships and driving measurable outcomes.
• Cross-functional collaborator who represents the customer in a positive, proactive manner.
• Passion for AI and interest in responsible development of advanced systems.

Logistics

• Annual Salary: $200,000-$265,000 USD
• Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience
• Required field of study: A field relevant to the role
• Minimum years of experience: Correlates with internal job level requirements
• Location-based hybrid policy: Offices at least 25% of the time
• Visa sponsorship: Available

Benefits

• Competitive compensation and benefits
• Optional equity donation matching
• Generous vacation and parental leave
• Flexible working hours
• Lovely office space

XML job scraping automation by YubHub

Join Anthropic's Customer Success team as an Enterprise Customer Success Manager for Financial Services. Drive AI adoption across Banking, Insurance, Asset & Wealth Management, and Data Providers. Partner with complex customers to harness Claude capabilities.

Responsibilities:

• Build strategic relationships with key decision-makers
• Become an expert in Anthropic's products
• Drive usage planning and optimization
• Monitor usage patterns and identify opportunities
• Serve as a thought partner for customers
• Document and quantify customer value
• Identify new use cases and applications
• Develop change management strategies
• Own the customer experience
• Develop scalable engagement strategies

Requirements:

• 6+ years of experience in Customer Success or similar
• Experience working with Financial Services enterprises
• Understanding of FSI regulatory needs
• Technical fluency with AI/ML concepts
• Experience with consumption-based and seat-based business models
• Strategic mindset and proven track record
• Cross-functional collaboration skills
• Passion for AI and responsible development

Logistics:

• Annual Salary: $200,000-$265,000 USD
• Location-based hybrid policy: 25% office time
• Visa sponsorship available

Benefits:

• Competitive compensation and benefits
• Optional equity donation matching
• Generous vacation and parental leave
• Flexible working hours

XML job scraping automation by YubHub

Join Anthropic's Customer Success team as an Enterprise Customer Success Manager for Financial Services. Drive AI adoption across Banking, Insurance, Asset & Wealth Management, and Data Providers. You'll be a strategic partner to complex customers, helping them harness Claude capabilities.

Responsibilities:

• Build strategic relationships with key decision-makers to understand business objectives and identify optimization opportunities.
• Become an expert in Anthropic's products, guiding customers to the right solutions.
• Leverage deep knowledge of customers and their industry to drive usage planning and create realized value.
• Monitor usage patterns, identify optimization opportunities, and address underutilization.
• Serve as a thought partner, enhancing customers' knowledge of Claude products and socializing the product roadmap.
• Document and quantify customer value through business outcomes, ROI, and impact metrics.
• Identify potential use cases and lines of business not currently onboarded.
• Develop and execute change management strategies to drive end-user adoption.
• Own the customer experience across their lifecycle, managing comprehensive account and success plans.

Requirements:

• 6+ years of experience in Customer Success, Technical Account Management, or Solutions Engineering.
• Experience working with enterprises in Financial Services.
• Deep understanding of FSI regulatory, risk, and compliance needs.
• Technical fluency with AI/ML concepts, API integrations, and software implementation patterns.
• Experience driving success across consumption-based and seat-based business models.
• Strategic mindset to identify growth opportunities and translate them into actionable plans.
• Proven track record managing a portfolio of accounts while maintaining strong relationships.
• Cross-functional collaborator who represents the customer in a positive, proactive manner.
• Passion for AI and interest in responsible development of advanced systems.

Logistics

• Annual Salary: $200,000-$265,000 USD
• Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or 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!

Benefits

• Competitive compensation and benefits
• Optional equity donation matching
• Generous vacation and parental leave
• Flexible working hours
• Lovely office space

XML job scraping automation by YubHub

Temporal is hiring a Director, Global Developer Success to lead and scale our deeply technical support organization. This is a high-impact leadership role responsible for turning customer technical response into a repeatable, measurable, and differentiated advantage for Temporal.

What you will do

• Build and lead Global Developer Success: Hire, coach, develop, retain, and performance-manage high-performing support engineers, managers, and specialists across tiers, regions, and customer segments.
• Create the support operating system: Define SLAs/OLAs, ticket and Slack triage, queue ownership, severity definitions, tiering, escalation paths, incident communications, RCA standards, quality review, staffing, and operating cadence.
• Raise the quality bar: Move beyond CSAT alone by measuring customer effort, touches to resolution, reopen rate, handoffs, recurrence, communication quality, resolution confidence, and customer-visible ownership.
• Harden Slack and customer response: Turn premium Slack response into a defined service model with acknowledgement standards, urgent paths, conversion-to-ticket rules, coverage model, manager review, and customer-facing expectations.
• Protect Engineering focus through better support: Reduce avoidable escalations by building runbooks, diagnostics, knowledge systems, reproducibility standards, technical triage, and high-quality escalation packets.
• Lead escalation and incident discipline: Establish crisp roles for technical lead, escalation manager, communications owner, Support, Engineering, SA, Platform Architecture, and Sales.
• Build technical depth and enablement: Create career paths, training, mentorship, certification, quality review, and hands-on learning that help junior engineers become senior/staff support engineers and help senior engineers scale their expertise.
• Partner across the company: Work closely with Product, Engineering, Sales, Solutions Architecture, Platform Architecture, Customer Success, Docs, DevRel, and Services to ensure support signal turns into product, documentation, enablement, and customer lifecycle improvements.
• Use tooling and AI pragmatically: Improve routing, deflection, summaries, analytics, knowledge surfacing, diagnostics, and customer communication while measuring real operating outcomes rather than tool adoption alone.
• Represent Temporal with customers: Engage directly in strategic escalations, high-stakes incidents, enterprise support conversations, QBR/EBR inputs, and executive readouts when support experience affects customer trust.

What you will bring

• 12+ years of experience in technical support, customer engineering, SRE, solutions engineering, infrastructure engineering, or similar customer-facing technical roles, with 5+ years leading support or customer-facing engineering teams.
• Proven experience building and scaling technical support operations for a deeply technical B2B product, ideally in developer tools, cloud infrastructure, data platforms, observability, AI infrastructure, open source, or distributed systems within a GTM organization.
• Experience managing managers and building the systems that make teams run: metrics, operating cadence, queue management, quality review, staffing models, tiering, escalation paths, and performance management.
• Strong technical credibility with developers, support engineers, SREs, platform engineers, and product engineers.
• Track record reducing avoidable Engineering escalations while improving the quality of product and engineering signal when escalations are needed.
• Deep understanding of support quality metrics: response time, resolution time, customer effort, touches, reopens, recurrence, backlog, SLA/OLA attainment, deflection, CSAT, sentiment, and case quality.
• Strong customer communication skills in high-pressure situations.
• Clear philosophy for hiring, onboarding, leveling, progression, coaching, retention, and performance management for technical support engineers and support managers.
• High ownership and builder mindset.

Compensation

• The estimated pay range for this role is $220,000 - $270,000 based on experience and location.
• Equity Options - Eligible for stock options as part of Temporal's equity plan.
• U.S. Benefits - Unlimited PTO, 12 Holidays + 2 Floating Holidays, 100% Premiums Coverage for Medical, Dental, and Vision, AD&D, LT & ST Disability, and Life Insurance, Empower 401K Plan, Additional Perks for Learning & Development, Lifestyle Spending, Home Office Setup, Professional Memberships, WFH Meals, Internet Stipend and more!

XML job scraping automation by YubHub

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. The salary range for this position is $198K – $294K, with generous equity, performance-related bonuses, 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.

About the team

OpenAI’s Forward Deployed Engineering team partners with healthcare organizations to deploy production AI systems across clinical, operational, and member-facing workflows. We work at the boundary of customer deployment and core platform development, using customer engagements to define repeatable architectures, evaluations, integrations, and operating standards for complex, regulated healthcare environments.

About the role

We are hiring a Forward Deployed Engineer (FDE) to own end-to-end deployments of our models within healthcare organizations, including payers, providers, health systems, and healthcare technology companies. You will lead technical discovery, architecture, implementation, evaluation, productionization, and handoff, translating complex customer workflows, data, infrastructure, and regulatory constraints into production AI systems.

You will measure success through production adoption, measurable workflow impact, and evaluation loops that establish customer-specific benchmarks, acceptance criteria, and launch readiness. You’ll collaborate directly with customer technical and operational teams, alongside internal Business, Research, Product, Engineering, and Security partners, to deliver solutions and translate deployment learnings into product improvements. This role owns the technical solution; ownership of the commercial or executive relationship is not required.

Responsibilities

• Own the technical solution end to end, from customer discovery and workflow scoping through architecture, hands-on implementation, evaluation, production deployment, adoption, and handoff.
• Partner credibly with customer engineers, operators, and domain experts to frame ambiguous problems, define scope, and translate payer, provider, or health-system workflows into technical requirements and measurable outcomes.
• Design and implement production AI applications and agentic systems that integrate with customer infrastructure, enterprise APIs, data platforms, electronic health records, claims systems, and operational tools.
• Build with appropriate safeguards for protected health information (PHI), HIPAA, privacy, security, authorization, governance, auditability, and other regulated-delivery requirements.
• Define and operationalize evaluations, validation evidence, human-review workflows, escalation paths, and launch criteria that measure model and system quality against customer-specific acceptance thresholds.
• Use evaluation results, error analysis, observability, and customer feedback to improve system reliability, performance, model selection, workflow impact, and production readiness.
• Distill deployment learnings into reference architectures, interoperability and integration patterns, evaluation harnesses, security controls, and reusable technical primitives for healthcare and other regulated enterprise environments.

Requirements

• Bring 6+ years of software engineering, ML/AI engineering, solutions engineering, technical consulting, or comparable experience, with the technical depth
• Have operated as a senior engineer, tech lead, or deployment owner who is trusted to make technical decisions in ambiguous environments.
• Are deeply hands-on and have personally owned technical discovery, architecture, implementation, evaluation, productionization, and handoff for complex customer-facing or enterprise systems.
• Have healthcare experience including payer workflows, provider operations, EHR systems, or interoperability standards such as Epic, HL7, and FHIR.
• Have exposure to provider or health-system workflows such as clinical operations, revenue cycle management, patient access, or contact centers; or to EHR and interoperability technologies such as Epic, Oracle Health/Cerner, MEDITECH, HL7, FHIR, or health information exchanges.
• Have shipped complex systems as a forward deployed or customer engineer, an engineer inside a payer, provider, or health system, a builder at an EHR, interoperability, revenue cycle, payer-tech, or healthcare infrastructure company, a hands-on technical consultant or integrator, a solutions architect for regulated enterprises, or a technical founder or early engineering leader.
• Apply strong judgment to AI evaluation, privacy, security, governance, and reliability. Prior FDE titles, clinical credentials, and experience across every healthcare domain are not required.

XML job scraping automation by YubHub

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. The salary range for this position is $198K – $294K, with generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

Benefits include:

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts
• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)
• 401(k) retirement plan with employer match
• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)
• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees
• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)
• Mental health and wellness support
• Employer-paid basic life and disability coverage
• Annual learning and development stipend to fuel your professional growth
• Daily meals in our offices, and meal delivery credits as eligible
• Relocation support for eligible employees
• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

About the Team

OpenAI’s Forward Deployed Engineering team partners with healthcare organizations to deploy production AI systems across clinical, operational, and member-facing workflows. We work at the boundary of customer deployment and core platform development, using customer engagements to define repeatable architectures, evaluations, integrations, and operating standards for complex, regulated healthcare environments.

About the Role

We are hiring a Forward Deployed Engineer (FDE) to own end-to-end deployments of our models within healthcare organizations, including payers, providers, health systems, and healthcare technology companies. You will lead technical discovery, architecture, implementation, evaluation, productionization, and handoff, translating complex customer workflows, data, infrastructure, and regulatory constraints into production AI systems.

You will measure success through production adoption, measurable workflow impact, and evaluation loops that establish customer-specific benchmarks, acceptance criteria, and launch readiness. You’ll collaborate directly with customer technical and operational teams, alongside internal Business, Research, Product, Engineering, and Security partners, to deliver solutions and translate deployment learnings into product improvements. This role owns the technical solution; ownership of the commercial or executive relationship is not required.

Responsibilities

• Own the technical solution end to end, from customer discovery and workflow scoping through architecture, hands-on implementation, evaluation, production deployment, adoption, and handoff.
• Partner credibly with customer engineers, operators, and domain experts to frame ambiguous problems, define scope, and translate payer, provider, or health-system workflows into technical requirements and measurable outcomes.
• Design and implement production AI applications and agentic systems that integrate with customer infrastructure, enterprise APIs, data platforms, electronic health records, claims systems, and operational tools.
• Build with appropriate safeguards for protected health information (PHI), HIPAA, privacy, security, authorization, governance, auditability, and other regulated-delivery requirements.
• Define and operationalize evaluations, validation evidence, human-review workflows, escalation paths, and launch criteria that measure model and system quality against customer-specific acceptance thresholds.
• Use evaluation results, error analysis, observability, and customer feedback to improve system reliability, performance, model selection, workflow impact, and production readiness.
• Distill deployment learnings into reference architectures, interoperability and integration patterns, evaluation harnesses, security controls, and reusable technical primitives for healthcare and other regulated enterprise environments.

Requirements

• Bring 6+ years of software engineering, ML/AI engineering, solutions engineering, technical consulting, or comparable experience, with the technical depth
• Have operated as a senior engineer, tech lead, or deployment owner who is trusted to make technical decisions in ambiguous environments.
• Are deeply hands-on and have personally owned technical discovery, architecture, implementation, evaluation, productionization, and handoff for complex customer-facing or enterprise systems.
• Have healthcare experience including payer workflows, provider operations, EHR systems, or interoperability standards such as Epic, HL7, and FHIR.
• Have exposure to provider or health-system workflows such as clinical operations, revenue cycle management, patient access, or contact centers; or to EHR and interoperability technologies such as Epic, Oracle Health/Cerner, MEDITECH, HL7, FHIR, or health information exchanges.
• Have shipped complex systems as a forward deployed or customer engineer, an engineer inside a payer, provider, or health system, a builder at an EHR, interoperability, revenue cycle, payer-tech, or healthcare infrastructure company, a hands-on technical consultant or integrator, a solutions architect for regulated enterprises, or a technical founder or early engineering leader.
• Apply strong judgment to AI evaluation, privacy, security, governance, and reliability. Prior FDE titles, clinical credentials, and experience across every healthcare domain are not required.

XML job scraping automation by YubHub

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. The salary range for this position is $198K - $294K per year, with generous equity, performance-related bonuses 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.

About the team

OpenAI's Forward Deployed Engineering team partners with healthcare organizations to deploy production AI systems across clinical, operational, and member-facing workflows. We work at the boundary of customer deployment and core platform development, using customer engagements to define repeatable architectures, evaluations, integrations, and operating standards for complex, regulated healthcare environments.

About the role

We are hiring a Forward Deployed Engineer (FDE) to own end-to-end deployments of our models within healthcare organizations, including payers, providers, health systems, and healthcare technology companies. You will lead technical discovery, architecture, implementation, evaluation, productionization, and handoff, translating complex customer workflows, data, infrastructure, and regulatory constraints into production AI systems.

You will measure success through production adoption, measurable workflow impact, and evaluation loops that establish customer-specific benchmarks, acceptance criteria, and launch readiness. You'll collaborate directly with customer technical and operational teams, alongside internal Business, Research, Product, Engineering, and Security partners, to deliver solutions and translate deployment learnings into product improvements. This role owns the technical solution; ownership of the commercial or executive relationship is not required.

Responsibilities

• Own the technical solution end to end, from customer discovery and workflow scoping through architecture, hands-on implementation, evaluation, production deployment, adoption, and handoff.
• Partner credibly with customer engineers, operators, and domain experts to frame ambiguous problems, define scope, and translate payer, provider, or health-system workflows into technical requirements and measurable outcomes.
• Design and implement production AI applications and agentic systems that integrate with customer infrastructure, enterprise APIs, data platforms, electronic health records, claims systems, and operational tools.
• Build with appropriate safeguards for protected health information (PHI), HIPAA, privacy, security, authorization, governance, auditability, and other regulated-delivery requirements.
• Define and operationalize evaluations, validation evidence, human-review workflows, escalation paths, and launch criteria that measure model and system quality against customer-specific acceptance thresholds.
• Use evaluation results, error analysis, observability, and customer feedback to improve system reliability, performance, model selection, workflow impact, and production readiness.
• Distill deployment learnings into reference architectures, interoperability and integration patterns, evaluation harnesses, security controls, and reusable technical primitives for healthcare and other regulated enterprise environments.

Requirements

• Bring 6+ years of software engineering, ML/AI engineering, solutions engineering, technical consulting, or comparable experience, with the technical depth.
• Have operated as a senior engineer, tech lead, or deployment owner who is trusted to make technical decisions in ambiguous environments.
• Are deeply hands-on and have personally owned technical discovery, architecture, implementation, evaluation, productionization, and handoff for complex customer-facing or enterprise systems.
• Have healthcare experience including payer workflows, provider operations, EHR systems, or interoperability standards such as Epic, HL7, and FHIR.
• Have exposure to provider or health-system workflows such as clinical operations, revenue cycle management, patient access, or contact centers; or to EHR and interoperability technologies such as Epic, Oracle Health/Cerner, MEDITECH, HL7, FHIR, or health information exchanges.
• Have shipped complex systems as a forward deployed or customer engineer, an engineer inside a payer, provider, or health system, a builder at an EHR, interoperability, revenue cycle, payer-tech, or healthcare infrastructure company, a hands-on technical consultant or integrator, a solutions architect for regulated enterprises, or a technical founder or early engineering leader.
• Apply strong judgment to AI evaluation, privacy, security, governance, and reliability. Prior FDE titles, clinical credentials, and experience across every healthcare domain are not required.

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Equity Range: Competitive equity , details shared during the process.

Location: San Francisco, CA (Hybrid, on-site required)

Job Type: Full-Time

Experience: 3+ years in a customer-facing technical role or equivalent

Visa: Must be legally authorized to work in the United States. We're not able to sponsor visas right now, though that may change down the line.

What You'll Do

• Own the technical health of your accounts: keep customers succeeding, deepen their usage, and catch problems before they become churn
• Get hands-on with the product against real customer data, build integrations and solve the technical problems that keep accounts growing
• Run technical discovery: diagnose where a customer's extraction or pipeline breaks, and know whether it's usage, a bug, or a real product gap
• Turn technical wins into adoption and expansion, and partner with the revenue team to hit team targets
• Be the trusted technical voice for your accounts over their whole lifecycle, and bring what you learn in the field back to product and engineering
• Know when to solve it yourself and when to pull in engineering

What We're Looking For

• You've done customer success engineering, solutions, forward-deployed, or another customer-facing technical role, ideally at a developer, API, or AI-infra product
• You're technical enough to earn a developer's respect: you can read code, use an API, and build a real POC or integration yourself
• You've owned accounts over time and grown them, and can point to the technical work that drove adoption and expansion
• You check before you build: you can tell user error from a bug from a real product gap, and you don't turn every ask into a custom feature
• You can translate between deep technical detail and business value without losing either audience
• You move fast and close the loop - you'd rather ship a working fix against real data than perfect a doc

Benefits & Perks

• Salary that makes sense , $180,000-$240,000 OTE, depending on experience
• Own a piece , Gain competitive equity in what you're helping build
• Full coverage, no red tape , Medical, dental, and vision (100% for employees, 50% for spouse/kids) , no weird loopholes, just care that works
• Life & Disability insurance , Employer-paid short-term disability, long-term disability, and life insurance , coverage for life's curveballs
• Supplemental options , Optional accident, critical illness, hospital indemnity, and voluntary life insurance for extra peace of mind
• Doctegrity telehealth , Talk to a doctor from your couch
• 401(k) plan , Retirement might be a ways off, but future-you will thank you
• Pre-tax benefits , Access to FSAs and commuter benefits (US-only) to help your wallet out a bit
• Generous PTO , 15 days mandatory, anything after 24 days, just ask (holidays excluded); take the time you need to recharge
• Parental leave , 12 weeks fully paid, for all parents
• Wellness stipend , $100/month for the gym, therapy, massages, or whatever keeps you human
• Learning & Development , Expense up to $1,000/year toward anything that helps you grow professionally
• Team offsites , A change of scenery, minus the trust falls
• Sabbatical , 3 paid months off after 4 years, do something fun and new
• Pet insurance , Because fur babies are family too
• SF HQ perks , Snacks, drinks, team lunches, intense ping pong, and peak startup energy
• E-Bike transportation , A loaner electric bike to get you around the city, on us

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As a Senior Customer Engineer on the Digital Native Enterprise team, you will work with Cloudflare's most innovative and high-growth accounts , cloud-native, technologically advanced companies building at internet scale. Your role focuses on both the acquisition of new Digital Native accounts and the expansion of existing ones.

Responsibilities

Technical Validation (Pre-Sales)

• Lead technical discovery, design bespoke architectures, and deliver compelling demos and Proofs of Concept (PoCs) across Cloudflare's portfolio , Security, Networking, and Developer Platforms
• Build technical champions and executive relationships within target accounts
• Represent Cloudflare at industry events, developer communities, and cybersecurity conferences

Customer Adoption & Value Realization

• Serve as the primary technical contact from contract signature through full platform adoption
• Lead and oversee technical onboarding and implementation , you are the engineering relationship, not a handoff
• Proactively monitor customer health telemetry, resolve integration bottlenecks, and ensure rapid time-to-value

Commercial Accountability & Expansion

• Carry a variable quota tied directly to new business acquisition and ongoing account growth
• Identify and drive strategic cross-sell and upsell opportunities grounded in platform usage data and customer business objectives
• Lead technical Quarterly Business Reviews (QBRs) that translate platform metrics into C-level ROI

Trusted Advisory

• Maintain continuous, deep relationships with key stakeholders , from engineering leads to CISOs and CTOs , throughout the entire customer lifecycle
• Advise on architecture best practices, security posture, and Cloudflare platform strategy aligned to customer business goals

Requirements

Required

• Deep understanding of The Life of a Request on the Internet
• Experience in a customer-facing technical role: Solutions Engineering, Customer Engineering, Sales Engineering, or Forward Deployed Engineering
• Broad technical expertise across: web security (WAF, DDoS mitigation, TLS, Zero Trust / SASE), networking (BGP, DNS, SD-WAN, MPLS, TCP/IP), and cloud infrastructure (AWS, GCP, Azure)
• Exceptional communication and presentation skills , equally fluent in a whiteboard architecture session with engineers and a strategic business review with the C-suite
• AI-Native Development: You have integrated AI-augmented workflows into your daily development cycle to accelerate prototyping and delivery.

Preferred

• Hands-on experience with Cloudflare's Developer and AI platform: Workers, Workers AI, AI Gateway, Vectorize
• Applied AI knowledge: prompt engineering, LLM orchestration, Retrieval-Augmented Generation (RAG) architectures
• Proficiency in Python, JavaScript, or Go , able to write integration scripts, API connectors, and edge computing functions
• Familiarity with CDN, reverse proxy (WAF), forward proxy (SWG), and serverless application patterns
• Hands-on experience building cloud-based applications
• Experience building relationships and driving technical wins across multi-stakeholder, enterprise accounts

Benefits

Cloudflare offers a complete package of benefits and programs to support you and your family. Our benefits programs can help you pay health care expenses, support caregiving, build capital for the future and make life a little easier and fun!

Health & Welfare Benefits

• Medical/Rx Insurance
• Dental Insurance
• Vision Insurance
• Flexible Spending Accounts
• Commuter Spending Accounts
• Fertility & Family Forming Benefits
• On-demand mental health support and Employee Assistance Program
• Global Travel Medical Insurance

Financial Benefits

• Short and Long Term Disability Insurance
• Life & Accident Insurance
• 401(k) Retirement Savings Plan
• Employee Stock Participation Plan

Time Off

• Flexible paid time off covering vacation and sick leave
• Leave programs, including parental, pregnancy health, medical, and bereavement leave

XML job scraping automation by YubHub

Our ideal candidate is passionate about the transformative possibilities of AI voice technology, and eager to act as a strategic partner - enabling organizations to leverage our industry-leading models and product to reimagine their customer experience, internal workflows, and monetization strategies.

In this role you will:

• Build and manage a growing portfolio of new accounts across industries adopting conversational AI to help ElevenLabs meet its revenue goals
• Identify new business opportunities where ElevenLabs’ conversational AI capabilities can drive user engagement, automation, or cost efficiency
• Develop and maintain a deep understanding of the conversational AI landscape, including customer use cases, competitive solutions, and emerging trends
• Demonstrate expertise,or a strong willingness to learn,about conversational AI and how ElevenLabs’ voice technology can unlock value across customer support, virtual agents, in-app assistants, and more
• Develop and execute account strategies to expand ElevenLabs’ presence within key enterprise verticals (e.g., healthcare, government, finance).
• Partner closely with customer success and solutions engineering to ensure smooth onboarding and expansion of accounts.
• Serve as a trusted advisor to clients, educating them on emerging trends in generative AI, voice interfaces, and conversational agents.

Requirements

• 7+ years of quota‑carrying enterprise sales experience in SaaS or technology, ideally with exposure to AI, generative AI, LLM-based products, or API‑driven platforms.
• Proven success closing seven‑figure deals and managing complex sales cycles with multiple stakeholders.
• Deep understanding of enterprise procurement and legal processes, with ability to accelerate deal velocity.
• Experience selling technical solutions to product and engineering leaders; ability to translate complex technology into business value.
• Strong executive presence and ability to build relationships at the C‑suite and board level.
• Comfort operating in an early‑stage, high‑growth environment, including building new playbooks and iterating quickly.
• Passion for voice and audio AI and how it can unlock transformative value for customers.
• A hybrid of customer & product-driven mentality that prioritizes client satisfaction & scale

XML job scraping automation by YubHub

Our ideal candidate is passionate about the transformative possibilities of AI voice technology, and eager to act as a strategic partner - enabling organizations to leverage our industry-leading models and product to reimagine their customer experience, internal workflows, and monetization strategies.

In this role you will:

• Build and manage a growing portfolio of new accounts across industries adopting conversational AI to help ElevenLabs meet its revenue goals
• Identify new business opportunities where ElevenLabs' conversational AI capabilities can drive user engagement, automation, or cost efficiency
• Develop and maintain a deep understanding of the conversational AI landscape, including customer use cases, competitive solutions, and emerging trends
• Demonstrate expertise,or a strong willingness to learn,about conversational AI and how ElevenLabs' voice technology can unlock value across customer support, virtual agents, in-app assistants, and more
• Develop and execute account strategies to expand ElevenLabs' presence within key enterprise verticals (e.g., healthcare, government, finance)
• Partner closely with customer success and solutions engineering to ensure smooth onboarding and expansion of accounts
• Serve as a trusted advisor to clients, educating them on emerging trends in generative AI, voice interfaces, and conversational agents

Requirements:

• 7+ years of quota-carrying enterprise sales experience in SaaS or technology, ideally with exposure to AI, generative AI, LLM-based products, or API-driven platforms
• Proven success closing seven-figure deals and managing complex sales cycles with multiple stakeholders
• Deep understanding of enterprise procurement and legal processes, with ability to accelerate deal velocity
• Experience selling technical solutions to product and engineering leaders; ability to translate complex technology into business value
• Strong executive presence and ability to build relationships at the C-suite and board level
• Comfort operating in an early-stage, high-growth environment, including building new playbooks and iterating quickly
• Passion for voice and audio AI and how it can unlock transformative value for customers
• A hybrid of customer & product-driven mentality that prioritizes client satisfaction & scale

XML job scraping automation by YubHub

Responsibilities:

• Design, build, and deploy AI agents and automations for the pre-sales team.
• Map the pre-sales process end-to-end to identify friction points and automation opportunities.
• Automate and accelerate RFP/RFI responses and security/compliance questionnaires.
• Build tools that speed up technical discovery, demo prep, and POC execution.
• Integrate AI tools with our CRM, proposal, and knowledge management systems.
• Prototype quickly, test with Solutions Engineers, and iterate based on real usage.
• Train and support the pre-sales team on adopting new AI tools and workflows.
• Monitor automation performance and continuously optimize for reliability and impact.
• Stay ahead of new AI tools, models, and frameworks relevant to pre-sales and GTM.
• Document workflows and automations so they're scalable and easy to maintain.
• Partner with Marketing to support and automate inbound lead handling.

Requirements:

• Fluent English
• +3 years of experience in GTM Engineering, Sales Engineering, Solutions Engineering, or similar technical/commercial hybrid roles
• Hands-on experience building automations and AI agents (e.g., n8n, Zapier, Make, custom scripts, LLM APIs)
• Solid understanding of pre-sales workflows (discovery, demos, RFPs, POCs)
• Comfortable working with technical concepts such as APIs and integrations
• Proficiency with CRM and proposal/knowledge management tools (Salesforce, HubSpot, or similar)
• Comfortable writing scripts or light code (Python, JavaScript) to build custom integrations
• Strong problem-solving skills and ability to translate business needs into technical solutions
• Excellent communication skills to work directly with non-technical stakeholders
• Self-starter mindset, comfortable navigating ambiguity and fast-changing priorities

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We're looking for a Senior Manager of Enterprise Developer Advocacy to lead our NAMER team of Enterprise Developer Advocates and own the execution of our enterprise- and customer-focused advocacy programs across the region.

Key Responsibilities

• Lead the NAMER Advocacy Team
• Manage, coach, and develop a team of Senior and Staff Developer Advocates across NAMER.
• Set clear expectations and priorities while giving advocates the autonomy to adapt to their accounts and developer audiences.
• Balance team load against incoming demand, owning prioritization when requests outstrip bandwidth.
• Own DevDays Delivery in NAMER
• Run the account engagement process end to end
• Work with Global DevDays Team Lead to ensure each DevDay is tailored to the customer's domain and use cases.
• Drive champion identification and structured follow-up so engagements convert into durable adoption.
• Run Enterprise-Facing Programs
• Own NAMER's contribution to recurring programs like Enterprise Office Hours.
• Build and maintain a reusable library of modules, labs, and decks your team can mix, match, and localize.
• Enterprise & Sales Alignment
• Partner closely with AEs, SAs, and Developer Success to align advocacy work with pipeline, expansion, and adoption goals in the region.
• Qualify and prioritize requests by ARR influence, opportunity stage, strategic logo value, and bandwidth.
• Run a tight feedback loop from the field back to Docs, Education, and Product to surface enterprise developer needs.
• Hands-On Contribution & Storytelling
• Stay technical,design and deliver sessions, build sample apps, and contribute enterprise-friendly content.
• Establish yourself and your team as trusted technical voices inside enterprise accounts.

What Success Looks Like

• A motivated, well-supported NAMER Enterprise Dev Advocacy pod with clear priorities and healthy delivery capacity.
• DevDays and Office Hours that consistently hit their quality bar.
• Sales, SAs, and Dev Success in NAMER treat the Enterprise Dev Advocacy team as essential partners in driving adoption and expansion.
• Champions emerge inside target accounts at an accelerated rate.
• Regional execution feeds cleanly into the global DevRel strategy.

Requirements

• Experience in developer advocacy, solutions engineering, developer education, or technical community work, ideally in enterprise SaaS or a developer-first company.
• People-leadership experience or a clear readiness to step into it.
• Strong hands-on technical credibility.
• An operational, execution-first mindset.
• Comfort working cross-functionally with Sales, SAs, Dev Success, Product, and Marketing.
• A genuine passion for empowering developers and creating authentic, high-trust community experiences.
• Familiarity with durable execution, workflow orchestration, or distributed systems is a strong plus.

Benefits

• The estimated pay range for this role is $240,000 - $295,000.
• Additionally, this role is eligible to participate in Temporal's equity plan.
• U.S. Benefits - Unlimited PTO, 12 Holidays + 2 Floating Holidays, 100% Premiums Coverage for Medical, Dental, and Vision, AD&D, LT & ST Disability, and Life Insurance, Empower 401K Plan, Additional Perks for Learning & Development, Lifestyle Spending, In-Home Office Setup, Professional Memberships, WFH Meals, Internet Stipend and more!

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The Claude Platform ships fast, and every launch lands better when the field can understand it, demo it, and teach it.

You will own platform enablement end to end: the demos, hands-on labs, and technical curriculum that let Anthropic's go-to-market teams showcase the Claude Developer Platform with confidence, whether they're building on Anthropic's first-party API or through Bedrock, Vertex, and Foundry. You will join roadmap and launch planning with the product team before features ship, so the field has what it needs on day one.

You are an engineer who teaches. You have shipped products to users. You know the difference between a demo that raises awareness and one that creates champions. And you get as much energy from watching a seller nail your lab as from building it yourself.

Key responsibilities

• Turn launches into field-ready content: Translate new platform capabilities (API, tool use and MCP, Agent SDK, memory and skills) into demos, labs, and quick-reference guides within days of release, and build compelling demo scenarios across industries and developer personas

• Deliver training that sticks: Run Claude Platform training for technical onboarding and ongoing enablement programs, delivering hands-on sessions wherever the field gathers, from a 12-person lab to a 100-person field-readiness day

• Coach the field: Coach technical sellers on demo delivery through practice sessions and office hours

• Scale beyond the live session: Develop self-service resources and experimental tools so the field can learn without you in the room, and contribute to the tooling that scales enablement, including demo environments, content-freshness automation, and self-service infrastructure

• Close the loop with product: Stress-test new platform features before launch, then bring field signal back to product and product marketing on where sellers get stuck and what content would unlock the next deal

• Measure what lands: Track content usage and session feedback so you know what is working and what to retire

Minimum requirements

• Experience in a customer-facing technical role, such as solutions architecture, sales engineering, developer relations, or technical enablement

• Experience writing production-quality code and building technical demos

• Hands-on experience building with LLM APIs and agents, including tool use, MCP, or agent frameworks, beyond prompting alone

• Experience using AI coding tools as part of your daily engineering work

• Experience delivering live technical training or talks to both technical and non-technical audiences

• Experience partnering directly with sales, solutions engineering, or other go-to-market teams

Preferred requirements

• A portfolio you can show us: labs, courses, talks, or repos you built yourself

• Experience with Claude Code, or a comparable agentic coding tool, as core infrastructure in your daily work

• Experience building on the Claude Developer Platform through cloud providers such as Amazon Bedrock, Google Vertex AI, or Microsoft Foundry

• Experience as a technical founder, early startup employee, or 0-to-1 operator who has taken an idea to product-market fit

• Public speaking, conference presentations, or community-facing developer advocacy

• Experience building enablement tooling, such as demo environments, content-freshness automation, or self-service infrastructure

• Deep enthusiasm for AI and genuine care about building it responsibly

The annual compensation range for this role is $270,000-$310,000 USD.

Logistics

• Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience

• Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience

• Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position

• Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

• Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

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At Komodo Health, our mission is to reduce the global burden of disease using smarter data.

The Opportunity at Komodo Health

The Sales Engineering team partners with Sales to deliver expert technical support for Komodo’s real-world data, AI-powered analytics, software, and services for Life Sciences customers.

The Senior Sales Engineer role provides technical, data, and AI-solution expertise and strategic support during the discovery, qualification, value alignment, and solution design stages of the sales cycle.

Looking back on your first 12 months at Komodo Health, you will have accomplished…

• Supported new and expansion opportunities with tailored technical and AI-enabled solutions
• Become a go-to expert for Komodo’s AI-powered platform
• Developed deep expertise in Komodo’s healthcare data assets and analytics suites
• Articulated Komodo’s trustworthy-AI approach to technical buyers and stakeholders
• Built a library of repeatable, AI-centric demo assets and proof-of-value frameworks
• Strengthened the Sales Engineering and Sales partnership
• Established strong client relationships by delivering insights that tie Komodo’s data and AI capabilities to clients’ commercial outcomes and ROI

These are the essential job duties you will be responsible for…

• Partner with Sales during discovery to identify technical, data, and AI requirements, pain points, and desired commercial outcomes for life sciences clients
• Provide expert guidance on healthcare claims and real-world data
• Design and present tailored solutions that combine Komodo’s Healthcare Map, AI engine, and software products
• Conduct technical and AI-powered demonstrations
• Position how Komodo’s differentiated AI aligns with foundational models and other real-world-data vendors
• Support customer AI councils, security reviews, and enterprise procurement
• Identify and shape expansion opportunities across Komodo’s products
• Navigate the internal review process for technical proposals
• Collaborate with cross-functional teams so customer and competitive feedback influences the product and AI roadmap
• Provide technical and AI mentorship to junior SEs

What you bring to Komodo Health (required)

• Deep familiarity with large BioPharma functional areas and their core processes and workflows
• 7+ years of experience in Sales Engineering, Solutions Engineering, or Technical Account Management
• Proven success partnering with Sales to support discovery, qualification, and solution design that drives revenue
• Deep understanding of healthcare claims and real-world data and life sciences commercial strategies
• Working fluency with AI/ML concepts relevant to enterprise analytics

The pay range for each job posting reflects a minimum and maximum range of annual base pay that we reasonably expect to pay for this position within the US.

San Francisco Bay Area and New York City: $164,000-$222,000 USD All Other US Locations: $143,000-$193,000 USD

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Responsibilities:

• Identify and map customer initiatives and business problems to Cloudflare solutions
• Build relationships and technical champions within customer accounts
• Develop and present customer presentations at every Enterprise Customer's organization level
• Lead demo and proof-of-concept activities for Cloudflare prospects and customers
• Demonstrate your expertise of Cloudflare with your peers through the creation of professional content, including white papers, blog posts and other knowledge sharing activities
• Represent and evangelize Cloudflare externally at Developer, Community, Technology, Cybersecurity and Industry focused events with thought leadership and expertise.

Requirements:

• Previous experience as a Solutions Engineer or other customer facing technical role with CDN, Security, Networking or SaaS
• Solid communication, written and presentation skills
• Ability to work on several projects and activities concurrently
• Highly driven individuals that are curious, team players and work with a sense of urgency
• Bachelor's Degree or equivalent in relevant work experience
• The role requires up to 50% travel to attend meetings with prospects or customers, attend conferences and other industry events, and to collaborate with your Cloudflare teammates.

Desirable skills and experience:

• Fundamental understanding of customer network and/or application architectures
• Detailed understanding of workflow from user to application including hybrid architectures with Azure, AWS, GCP
• Understanding, knowledge or experience of application and/or network security
• Understanding, knowledge or experiences with SaaS application environments
• Understanding, knowledge or experience with VPN and remote access challenges
• Understanding, knowledge or experience with SIEM and log analytics platforms
• Client OS fundamentals and software distribution

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This is a hands-on technical role that combines deep engineering expertise with customer-facing problem solving. You'll work directly with customer engineering teams to integrate AI into their critical workflows.

Key Responsibilities

Customer Integration & Deployment

• Partner directly with enterprise customers to understand their technical infrastructure, data pipelines, and business requirements
• Design and implement custom integrations between Scale AI's platform and customer data environments (cloud platforms, data warehouses, internal APIs)
• Build robust data connectors and ETL pipelines to ingest, process, and prepare customer data for AI workflows
• Deploy and configure AI models and agents within customer security and compliance boundaries

AI Agent Development

• Develop production-grade AI agents tailored to customer use cases across domains like customer support, data analysis, content generation, and workflow automation
• Architect multi-agent systems that orchestrate between different models, tools, and data sources
• Implement evaluation frameworks to measure agent performance and iterate toward business objectives
• Design human-in-the-loop workflows and feedback mechanisms for continuous agent improvement

Prompt Engineering & Optimization

• Create sophisticated prompt engineering strategies optimized for customer-specific domains and data
• Build and maintain prompt libraries, templates, and best practices for customer use cases
• Conduct systematic prompt experimentation and A/B testing to improve model outputs
• Implement RAG (Retrieval Augmented Generation) systems and fine-tuning pipelines where appropriate

Technical Leadership & Collaboration

• Serve as the primary technical point of contact for strategic enterprise accounts
• Collaborate with customer data scientists, ML engineers, and software developers to ensure smooth integration
• Provide technical training and knowledge transfer to customer teams
• Work closely with Scale's product and engineering teams to translate customer needs into product improvements
• Document technical architectures, integration patterns, and best practices

Problem Solving & Innovation

• Debug complex technical issues across the entire stack, from data pipelines to model outputs
• Rapidly prototype solutions to unblock customers and prove out new use cases
• Stay current on the latest AI/ML research and tools, bringing innovative approaches to customer problems
• Identify opportunities for productization based on common customer patterns

Required Qualifications

• 8+ years of software engineering experience with strong fundamentals in data structures, algorithms, and system design
• Production Python expertise with experience in modern ML/AI frameworks (e.g., LangChain, LlamaIndex, HuggingFace, OpenAI API)
• Experience with cloud platforms (AWS, GCP, or Azure) and modern data infrastructure
• Strong problem-solving skills with the ability to navigate ambiguous requirements and rapidly iterate toward solutions
• Excellent communication skills with the ability to explain complex technical concepts to both technical and non-technical audiences

Preferred Qualifications

• Agent Development Wiz
• Deep understanding of LLMs including prompting techniques, embeddings, and RAG architectures
• Experience building and deploying AI agents or autonomous systems in production
• Knowledge of vector databases and semantic search systems
• Contributions to open-source AI/ML projects

• Infrastructure Guru
• Experience with containerization (Docker, Kubernetes) and CI/CD pipelines
• Experience using Terraform, Bicep, or other Infrastructure as Code (IaC) tools
• Previous work in a devops, platform, or infra role

• Customer Product Whisperer
• Proven ability to work with customers in a technical consulting, solutions engineering, or product engineering role
• Domain expertise in verticals like finance, healthcare, government, or manufacturing
• Experience with technical enablement or teaching programs

Sample Projects

The following are some examples of the types of projects we’ve worked on with customers. All of these projects leverage customer data, integrate directly into customers’ existing systems, and are deployed on their infrastructure.

Deep Research for Due Diligence

For a global professional services firm, we developed a sophisticated deep research agent to assist in due diligence. This agent employs a multi-agent architecture for robust fact-checking, integrates several internal MCP tools, and processes complex, unstructured data sources. This solution reliably saves employees hundreds of hours weekly.

Churn Prediction

Working with a TelCo organization, we built a model utilizing customer data to predict churn likelihood. The system then curates personalized offers based on this prediction. This model was integrated into a “next best action” copilot, enabling call center agents to proactively surface relevant offers to customers, leading to a significant reduction in churn.

Data Extraction Voice Agent

We partnered with a healthcare organization to create a lifelike voice agent and avatar designed to gather unstructured health information from patients. Engineered for low latency, the agent adeptly manages conversational flow, adheres to safety guardrails, and efficiently handles data extraction. This automation saves the organization’s nurses hundreds of hours each week.

Compensation

Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You’ll also receive benefits including, but not limited to: comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.

Pay Transparency

For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is: $252,000-$315,000 USD

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This is a hands-on technical role that combines deep engineering expertise with customer-facing problem solving. You'll work directly with customer engineering teams to integrate AI into their critical workflows.

Key Responsibilities

Customer Integration & Deployment

• Partner directly with enterprise customers to understand their technical infrastructure, data pipelines, and business requirements
• Design and implement custom integrations between Scale AI's platform and customer data environments (cloud platforms, data warehouses, internal APIs)
• Build robust data connectors and ETL pipelines to ingest, process, and prepare customer data for AI workflows
• Deploy and configure AI models and agents within customer security and compliance boundaries

AI Agent Development

• Develop production-grade AI agents tailored to customer use cases across domains like customer support, data analysis, content generation, and workflow automation
• Architect multi-agent systems that orchestrate between different models, tools, and data sources
• Implement evaluation frameworks to measure agent performance and iterate toward business objectives
• Design human-in-the-loop workflows and feedback mechanisms for continuous agent improvement

Prompt Engineering & Optimization

• Create sophisticated prompt engineering strategies optimized for customer-specific domains and data
• Build and maintain prompt libraries, templates, and best practices for customer use cases
• Conduct systematic prompt experimentation and A/B testing to improve model outputs
• Implement RAG (Retrieval Augmented Generation) systems and fine-tuning pipelines where appropriate

Technical Leadership & Collaboration

• Serve as the primary technical point of contact for strategic enterprise accounts
• Collaborate with customer data scientists, ML engineers, and software developers to ensure smooth integration
• Provide technical training and knowledge transfer to customer teams
• Work closely with Scale's product and engineering teams to translate customer needs into product improvements
• Document technical architectures, integration patterns, and best practices

Problem Solving & Innovation

• Debug complex technical issues across the entire stack, from data pipelines to model outputs
• Rapidly prototype solutions to unblock customers and prove out new use cases
• Stay current on the latest AI/ML research and tools, bringing innovative approaches to customer problems
• Identify opportunities for productization based on common customer patterns

Required Qualifications

• 5+ years of software engineering experience with strong fundamentals in data structures, algorithms, and system design
• Production Python expertise with experience in modern ML/AI frameworks (e.g., LangChain, LlamaIndex, HuggingFace, OpenAI API)
• Experience with cloud platforms (AWS, GCP, or Azure) and modern data infrastructure
• Strong problem-solving skills with the ability to navigate ambiguous requirements and rapidly iterate toward solutions
• Excellent communication skills with the ability to explain complex technical concepts to both technical and non-technical audiences

Preferred Qualifications

• Agent Development Wiz
• Deep understanding of LLMs including prompting techniques, embeddings, and RAG architectures
• Experience building and deploying AI agents or autonomous systems in production
• Knowledge of vector databases and semantic search systems
• Contributions to open-source AI/ML projects

• Infrastructure Guru
• Experience with containerization (Docker, Kubernetes) and CI/CD pipelines
• Experience using Terraform, Bicep, or other Infrastructure as Code (IaC) tools
• Previous work in a devops, platform, or infra role

• Customer Product Whisperer
• Proven ability to work with customers in a technical consulting, solutions engineering, or product engineering role
• Domain expertise in verticals like finance, healthcare, government, or manufacturing
• Experience with technical enablement or teaching programs

Sample Projects

The following are some examples of the types of projects we’ve worked on with customers. All of these projects leverage customer data, integrate directly into customers’ existing systems, and are deployed on their infrastructure.

Compensation

Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.

Pay Transparency

For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is: $216,000-$270,000 USD

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Your primary responsibilities will include:

• Traveling to enterprise customer sites across EMEA (approximately 50% of the time) to deliver Temporal DevDays, our flagship on-site technical enablement program, tailored to each account's use cases, architecture, and adoption stage
• Preparing and delivering hands-on labs, architectural walkthroughs, and workshop sessions that help enterprise engineering teams build confidently on Temporal
• Collaborating with Solutions Architects, Account Executives, and Customer Success to scope and prepare for each engagement and ensure strong outcomes
• Contributing sample applications, lab exercises, and reusable content back to the shared DevDays content library
• Delivering train-the-trainer sessions where appropriate
• Hosting semi-regular enterprise office hours for EMEA-based engineering teams
• Delivering webinars on enterprise-relevant topics, including complex workflow patterns, AI-powered agentic backends, observability, scalability, and platform integrations, scheduled to serve European time zones
• Partnering with the DevDays program owner, DevRel, and field teams to identify topics and formats that matter most to enterprise audiences in the region
• Speaking at and attending industry conferences, enterprise developer events, and meetups across Europe relevant to the enterprise engineering community
• Producing technical content,blog posts, tutorials, architectural guides, diagrams, and videos
• Gathering structured feedback from DevDays sessions, office hours, and enterprise engagements to surface product gaps, developer experience friction, and adoption blockers from the EMEA market
• Serving as the regional voice of the enterprise developer, bringing EMEA-specific patterns and needs back to the broader DevRel, Engineering, and Product teams

To be successful in this role, you will need to have:

• 7+ years of software engineering experience with a strong focus on distributed systems
• Proficiency in one or more Temporal SDK languages (Python, Go, Java, TypeScript), with strong working knowledge of distributed systems, state management, and workflow execution concepts
• Demonstrated ability to lead technical workshops, hands-on labs, or enablement sessions for senior engineering audiences
• Experience engaging directly with enterprise engineering organizations, with an understanding of how large teams adopt and scale developer tooling
• Experience mentoring others in a formal or informal capacity
• Comfort with approximately 50% travel within EMEA and occasional international travel

Nice to have:

• Prior experience in a Developer Relations, Solutions Architect, or Solutions Engineering role, especially in an enterprise or field-facing capacity
• Experience delivering enterprise hackathons, on-site enablement sessions, or structured technical workshops
• Familiarity with Temporal Cloud and advanced Temporal patterns, including AI/agentic backends, LLM orchestration, Nexus, and saga
• Existing relationships in European enterprise engineering communities or with platform and partner ecosystems
• Track record of speaking at European technical conferences
• Multilingual , English required. German and Spanish fluency are a strong plus; additional European languages are welcome.

The estimated pay range for this role is €135,000 - €160,000. Additionally, this role is eligible to participate in Temporal's equity plan.

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As an Enterprise Customer Success Manager for Industries, you'll be the strategic partner and a trusted advisor to our most complex customers with a portfolio spanning Financial Services, Systems Integrators, Semiconductor, Manufacturing and Retail organisations – helping them harness the full potential of all our Claude capabilities - API, Claude for Enterprise, and Claude Code.

You'll work with organisations across diverse industries that are transforming their businesses with AI technology. Developing genuine partnerships with customers, gaining a deep understanding of their business objectives, strategic direction, AI vision, and technical needs.

In partnership with the broader account team you will help customers identify the right Claude capabilities for their specific business objectives, working closely with them to provide best practices and guidance while supporting them as their usage (consumption & seat based) grows and evolves.

Your role focuses on helping customers scale their usage effectively, drive model and use case optimisations, implement change management strategies, and maximise the value of their investment through expanded use cases across their organisation.

The insights you gather from your customers will directly inform our research priorities, product development, and go-to-market strategies – making you a key voice in shaping how we build and deliver ongoing value as a business.

Responsibilities:

• Build trusting, strategic relationships with key customer decision makers to understand their business and objectives, identifying opportunities for optimisation and expansion

• Become an expert in Anthropic's products across API, Claude Code and Claude for Enterprise, understanding the technical nuances and best practices for each to guide customers to the right solutions

• Leverage your deep knowledge of the customer and their industry vertical to proactively drive usage planning, understanding current and future consumption/adoption and how it creates realised value for the customer

• Monitor usage patterns and identify optimisation opportunities, proactively addressing underutilisation across both consumption-based (API) and seat-based (Claude for Enterprise / Claude Code) products to drive full value from contracted commitments

• Serve as the customer's thought partner, enhancing their knowledge of Claude products by socialising Anthropic's product roadmap, driving awareness on new products and engaging Product PMs

• Document and quantify customer value realised through business outcomes, ROI, and impact metrics to build compelling internal business cases for continued and expanded investment

• Identify potential use cases and lines of business not currently onboarded, partnering with customers and Sales to discover new applications for Claude across different departments, teams, and workflows

• Develop and execute change management strategies to drive end-user adoption and maximise value within customer organisations, including Train the Trainer programs, Centre of Excellence development, and organisational enablement

• Own the customer experience across their lifecycle – managing comprehensive account and success plans grounded in the customer's business objectives, conducting Quarterly Business Reviews, and serving as the primary conduit between the customer and Anthropic

• Develop scalable engagement strategies and playbooks for your Industry portfolio, balancing high-touch strategic accounts with efficient coverage models to maximise impact across all customers

You may be a good fit if you have:

• 6+ years of experience in Customer Success, Technical Account Management, or Solutions Engineering

• Experience working with enterprises in Financial Services, Systems Integrators, Semiconductor, Manufacturing or Retail industries

• Technical fluency with ability to understand and articulate AI/ML concepts, API integrations, and software implementation patterns across a set of diverse stakeholders – from developers and product managers to executives and end users

• Experience driving success across both consumption-based and seat-based business models, with understanding of different expansion levers and success metrics for each

• Strategic mindset to identify growth opportunities and translate them into actionable expansion plans

• Proven track record managing a portfolio of accounts while maintaining strong relationships and driving measurable outcomes

• Cross-functional collaborator who represents the customer in a positive, proactive manner, rallying everyone around paths forward that solve customer needs

• Passion for AI and interest in responsible development of advanced systems

• A knack for bringing order to chaos and an enthusiastic 'roll up your sleeves' mentality – you're a true team player

The annual compensation range for this role is listed below. For sales roles, the range provided is the role's On Target Earnings ('OTE') range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.

Annual Salary: $200,000-$260,000 USD

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As our dedicated Enterprise Customer Success Manager for a global technology leader with 100k employees, you’ll be their strategic partner and trusted advisor helping them harness the full potential of all our Claude capabilities - API, Claude for Enterprise, and Claude Code.

You'll work with a global technology leader with 100k employees to actively deploy AI to reshape the technology landscape. You’ll be working with key partners who are moving fast and pushing the boundaries of what's possible with LLM technology.

Your role will entail developing genuine partnerships with the customer and key stakeholders, gaining a deep understanding of their multi-pronged business objectives, strategic direction, AI vision, and technical needs.

You'll draw on both your business acumen and technical expertise to serve as a strategic advisor throughout their journey with us.

In partnership with the broader account team, you will help customers identify the right Claude capabilities for their specific business objectives, working closely with them to provide best practices and guidance while supporting them as their usage (consumption & seat based) grows and evolves.

Your role focuses on helping customers scale their usage effectively, drive model and use case optimizations, implement change management strategies, and maximize the value of their investment through expanded use cases across their organization.

The insights you gather from your customers will directly inform our research priorities, product development, and go-to-market strategies , making you a key voice in shaping how we build and deliver ongoing value as a business.

Responsibilities:

• Build trusting, strategic relationships with key customer decision makers in complex, matrixed organizations; understand their business and objectives and identify opportunities for optimization and expansion

• Become an expert in Anthropic's products across API, Claude Code and Claude for Enterprise, understanding the technical nuances and best practices for each to guide customers to the right solutions

• Leverage your deep knowledge of the customer and other Digital Native Businesses to proactively drive usage planning, understanding current and future consumption/ adoption and how it creates realized value for the customer

• Monitor usage patterns and identify optimization opportunities, proactively addressing underutilization across both consumption-based (API) and seat-based (Claude for Enterprise / Claude Code) products to drive full value from contracted commitments

• Serve as the customer’s thought partner, enhancing their knowledge of Claude products by socializing Anthropic’s product roadmap, driving awareness on new products and engaging Product PMs

• Document and quantify customer value realized through business outcomes, ROI, and impact metrics to build compelling internal business cases for continued and expanded investment

• Identify potential use cases and lines of business not currently onboarded, partnering with customers and Sales/Product to discover new applications for Claude across different departments, teams, and workflows

• Develop and execute change management strategies to drive end-user adoption and maximize value within customer organizations, including Train the Trainer programs, Center of Excellence development, and organizational enablement

• Own the customer experience across their lifecycle , managing comprehensive account and success plans grounded in the customer's business objectives, conducting Quarterly Business Reviews, and serving as the primary conduit between the customer and Anthropic

• Develop scalable engagement strategies and playbooks for your customer that can be utilized across other high-touch strategic DNB accounts to maximize impact across all customers

You may be a good fit if you have:

• 8+ years of experience in Customer Success, Technical Account Management, or Solutions Engineering

• Experience working with both F10 and F500 technology companies, SaaS platforms, or digital-first businesses,ideally including high-growth and established tech companies

• Deep understanding of the AI landscape, including direct experience working for or with large technology companies with investments/products at every layer of the AI tech stack

• Technical fluency with ability to understand and articulate AI/ML concepts, API integrations, and software implementation patterns across a set of diverse stakeholders,from developers and product managers to executives and end users

• Experience driving success across both consumption-based and seat-based business models, with understanding of different expansion levers and success metrics for each

• Strategic mindset to identify growth opportunities and translate them into actionable expansion plans

• Proven track record managing a portfolio of accounts while maintaining strong relationships and driving measurable outcomes

• Cross-functional collaborator who represents the customer in a positive, proactive manner, rallying everyone around paths forward that solve customer needs

• Passion for AI and interest in responsible development of advanced systems

• A knack for bringing order to chaos and an enthusiastic "roll up your sleeves" mentality,you’re a true team player and view yourself as the COO of your customer accounts

Logistics

• Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience

• Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience

• Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position

• Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

• Visa sponsorship: We do sponsor visas! However, we aren’t able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

• 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.

• We think AI systems like the ones we’re building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.

• 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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You'll work with organisations across diverse industries that are transforming their businesses with AI technology. Developing genuine partnerships with customers, gaining a deep understanding of their business objectives, strategic direction, AI vision, and technical needs. You'll draw on both your business acumen and technical expertise to serve as a strategic advisor throughout their journey with us.

In partnership with the broader account team you will help customers identify the right Claude capabilities for their specific business objectives, working closely with them to provide best practices and guidance while supporting them as their usage (consumption & seat based) grows and evolves. Your role focuses on helping customers scale their usage effectively, drive model and use case optimisations, implement change management strategies, and maximise the value of their investment through expanded use cases across their organisation.

The insights you gather from your customers will directly inform our research priorities, product development, and go-to-market strategies , making you a key voice in shaping how we build and deliver ongoing value as a business.

Responsibilities:

• Build trusting, strategic relationships with key customer decision makers to understand their business and objectives, identifying opportunities for optimisation and expansion
• Become an expert in Anthropic's products across API, Claude Code and Claude for Enterprise, understanding the technical nuances and best practices for each to guide customers to the right solutions
• Leverage your deep knowledge of the customer and their industry vertical to proactively drive usage planning, understanding current and future consumption/adoption and how it creates realised value for the customer
• Monitor usage patterns and identify optimisation opportunities, proactively addressing underutilisation across both consumption-based (API) and seat-based (Claude for Enterprise / Claude Code) products to drive full value from contracted commitments
• Serve as the customer's thought partner, enhancing their knowledge of Claude products by socialising Anthropic's product roadmap, driving awareness on new products and engaging Product PMs
• Document and quantify customer value realised through business outcomes, ROI, and impact metrics to build compelling internal business cases for continued and expanded investment
• Identify potential use cases and lines of business not currently onboarded, partnering with customers and Sales to discover new applications for Claude across different departments, teams, and workflows
• Develop and execute change management strategies to drive end-user adoption and maximise value within customer organisations, including Train the Trainer programs, Centre of Excellence development, and organisational enablement
• Own the customer experience across their lifecycle , managing comprehensive account and success plans grounded in the customer's business objectives, conducting Quarterly Business Reviews, and serving as the primary conduit between the customer and Anthropic
• Develop scalable engagement strategies and playbooks for your Industry portfolio, balancing high-touch strategic accounts with efficient coverage models to maximise impact across all customers

Requirements:

• 6+ years of experience in Customer Success, Technical Account Management, or Solutions Engineering
• Experience working with enterprises in Financial Services, Systems Integrators, Semiconductor, Manufacturing or Retail industries
• Technical fluency with ability to understand and articulate AI/ML concepts, API integrations, and software implementation patterns across a set of diverse stakeholders,from developers and product managers to executives and end users
• Experience driving success across both consumption-based and seat-based business models, with understanding of different expansion levers and success metrics for each
• Strategic mindset to identify growth opportunities and translate them into actionable expansion plans
• Proven track record managing a portfolio of accounts while maintaining strong relationships and driving measurable outcomes
• Cross-functional collaborator who represents the customer in a positive, proactive manner, rallying everyone around paths forward that solve customer needs
• Passion for AI and interest in responsible development of advanced systems
• A knack for bringing order to chaos and an enthusiastic 'roll up your sleeves' mentality,you're a true team player

Salary:

The annual compensation range for this role is $200,000-$260,000 USD.

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You'll work with a global technology leader with 100k employees to actively deploy AI to reshape the technology landscape. You'll be working with key partners who are moving fast and pushing the boundaries of what's possible with LLM technology. Your role will entail developing genuine partnerships with the customer and key stakeholders, gaining a deep understanding of their multi-pronged business objectives, strategic direction, AI vision, and technical needs. You'll draw on both your business acumen and technical expertise to serve as a strategic advisor throughout their journey with us.

In partnership with the broader account team, you will help customers identify the right Claude capabilities for their specific business objectives, working closely with them to provide best practices and guidance while supporting them as their usage (consumption & seat based) grows and evolves.

Your role focuses on helping customers scale their usage effectively, drive model and use case optimizations, implement change management strategies, and maximize the value of their investment through expanded use cases across their organization. The insights you gather from your customers will directly inform our research priorities, product development, and go-to-market strategies — making you a key voice in shaping how we build and deliver ongoing value as a business.

Responsibilities:

• Build trusting, strategic relationships with key customer decision makers in complex, matrixed organizations; understand their business and objectives and identify opportunities for optimization and expansion
• Become an expert in Anthropic's products across API, Claude Code and Claude for Enterprise, understanding the technical nuances and best practices for each to guide customers to the right solutions
• Leverage your deep knowledge of the customer and other Digital Native Businesses to proactively drive usage planning, understanding current and future consumption/adoption and how it creates realized value for the customer
• Monitor usage patterns and identify optimization opportunities, proactively addressing underutilization across both consumption-based (API) and seat-based (Claude for Enterprise/Claude Code) products to drive full value from contracted commitments
• Serve as the customer's thought partner, enhancing their knowledge of Claude products by socializing Anthropic's product roadmap, driving awareness on new products and engaging Product PMs
• Document and quantify customer value realized through business outcomes, ROI, and impact metrics to build compelling internal business cases for continued and expanded investment
• Identify potential use cases and lines of business not currently onboarded, partnering with customers and Sales/Product to discover new applications for Claude across different departments, teams, and workflows
• Develop and execute change management strategies to drive end-user adoption and maximize value within customer organizations, including Train the Trainer programs, Center of Excellence development, and organizational enablement
• Own the customer experience across their lifecycle — managing comprehensive account and success plans grounded in the customer's business objectives, conducting Quarterly Business Reviews, and serving as the primary conduit between the customer and Anthropic
• Develop scalable engagement strategies and playbooks for your customer that can be utilized across other high-touch strategic DNB accounts to maximize impact across all customers

You may be a good fit if you have:

• 8+ years of experience in Customer Success, Technical Account Management, or Solutions Engineering
• Experience working with both F10 and F500 technology companies, SaaS platforms, or digital-first businesses—ideally including high-growth and established tech companies
• Deep understanding of the AI landscape, including direct experience working for or with large technology companies with investments/products at every layer of the AI tech stack
• Technical fluency with ability to understand and articulate AI/ML concepts, API integrations, and software implementation patterns across a set of diverse stakeholders—from developers and product managers to executives and end users
• Experience driving success across both consumption-based and seat-based business models, with understanding of different expansion levers and success metrics for each
• Strategic mindset to identify growth opportunities and translate them into actionable expansion plans
• Proven track record managing a portfolio of accounts while maintaining strong relationships and driving measurable outcomes
• Cross-functional collaborator who represents the customer in a positive, proactive manner, rallying everyone around paths forward that solve customer needs
• Passion for AI and interest in responsible development of advanced systems
• A knack for bringing order to chaos and an enthusiastic 'roll up your sleeves' mentality—you're a true team player and view yourself as a key contributor to the Anthropic team

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Location

San Francisco

Employment Type

Full time

Department

Compensation

• Zone A$197K – $278K • Offers Equity

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

Benefits

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

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

• 401(k) retirement plan with employer match

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

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

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

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

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

• Relocation support for eligible employees

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

About the team

The Codex Deployment Engineering team helps customers adopt OpenAI's coding tools throughout their software development lifecycle. We act as trusted technical partners, guiding engineering teams as they integrate Codex into their projects and workflows. Our customers span digital-native companies to global enterprises, and we work side-by-side to accelerate how they plan, build, and deliver software.

About the Role

We are seeking a technically deep, creativity-driven AI Deployment Engineer who is already a power user of AI coding tools and passionate about pushing the boundaries of developer productivity. You will partner directly with engineering leaders and hands-on builders to design, validate, and scale advanced AI workflows, often using Codex to prototype and build the very demos, integrations, and automations customers ultimately adopt.

This is a highly cross-functional role that blends technical architecture, product strategy, and customer-facing leadership. You’ll work closely with Sales, Solutions Engineering, Product, Applied Engineering, and the broader Codex organization to advocate for customer needs, shape product direction, and accelerate the successful deployment of intelligent coding systems across some of the world’s most influential companies.

In this role, you will:

• Serve as the primary technical subject matter expert on OpenAI Codex for a portfolio of customers, embedding deeply with them to enable their engineering teams and build coding workflows.

• Partner directly with customers to design and implement AI-enhanced development workflows, from rapid prototyping through scalable production rollout.

• Build high-quality demos, reference implementations, and workflow automations, using Codex itself as part of your development process.

• Lead large-format workshops, technical deep dives, and hands-on enablement sessions that help engineering organizations adopt AI coding tools effectively and safely.

• Contribute technical content including examples, guides, patterns, and best practices to the OpenAI Cookbook to help the broader developer community accelerate their work with Codex.

• Gather high-fidelity product insights from real customer deployments and translate them into clear product proposals and model feedback for internal teams.

• Influence customer strategy and decision-making by framing how AI coding tools fit into their SDLC, technical roadmap, and organizational workflows.

• Serve as a trusted advisor on solution architecture, operational readiness, model configuration, security considerations, and best-practice adoption.

You’ll thrive in this role if you:

• Have 5+ years of technical consulting, post-sales engineering, solutions architecture, or similar experience working directly with customers.

• Are an active power user of AI coding tools and have deeply customized your own developer workflow; you have a point of view on what makes engineers more productive.

• Enjoy building scrappy, high-signal demos, integrations, and prototypes that clearly articulate what Codex can enable, often using Codex to accelerate your own development process.

• Have experience delivering large, high-impact workshops or technical training to engineering teams and know how to craft sessions that are engaging, hands-on, and outcomes-driven.

• Have contributed technical guides, patterns, or examples publicly and care about clarity, pedagogy, and community impact.

• Communicate complex technical concepts in clear, persuasive written and verbal form especially when helping customers make strategic decisions about where and how to apply AI.

• Are excited by ambiguous, rapidly evolving problem spaces and enjoy iterating toward novel solutions hand-in-hand with customers.

• Care about customer success, reliability, safety, and operational excellence as much as you care about technical innovation.

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