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VP, Finance

Negotiable

ABOUT US: AI needs a new infrastructure layer. We're building it at Modal. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Lovable https://modal.com/blog/lovable-case-study, Ramp https://modal.com/blog/how-ramp-built-a-full-context-background-coding-agent-on-modal, Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We recently raised a $355M Series C https://modal.com/blog/modal-series-c at a $4.65B valuation, led by General Catalyst and Redpoint Ventures. We've crossed $300M+ ARR and grown fivefold since September. Our team includes creators of popular open-source projects (e.g.,Seaborn https://github.com/mwaskom/seaborn,Luigi https://github.com/spotify/luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. THE ROLE: We're hiring a VP of Finance to build the finance function from the ground up as our first full-time finance hire. This is a high-impact role for someone who thrives at the intersection of strategic thinking and hands-on execution. We are looking for someone who can architect the systems and processes that will scale with Modal, partner closely with the founders and executive team, and grow into the company's CFO. You'll report directly to the CEO and collaborate closely with our BizOps, GTM, and Product teams. In this role, you will: - Build and maintain Modal's operating model, tying financial performance to company KPIs and resource allocation - Lead all budgeting, forecasting, and long-range planning processes, and develop the reporting infrastructure that gives leadership and the board clear, timely visibility into the health of the business - Partner with the founders on fundraising strategy, future funding rounds, and investor relations, including financial modeling and data room preparation - Think creatively about capital structure to optimize our balance sheet as we scale - Build the finance team and systems from scratch, making smart decisions about what to build vs. buy vs. outsource - Oversee accounting operations, financial close, and reporting in partnership with our Controller and external providers - Ensure sound revenue recognition policies and maintain audit-readiness as the company scales Serve as a strategic thought partner to our BizOps, GTM, and Product teams on pricing, headcount planning, unit economics, and product investment decisions REQUIREMENTS: - 10+ years of progressive finance experience, with at least 3–5 years in a senior leadership role at a high-growth technology company - Proven experience building or significantly scaling a finance function, including systems, processes, and team - Deep FP&A and operating model expertise, with strong command of SaaS and infrastructure business metrics - Experience supporting companies through venture fundraising rounds and managing institutional investor relationships - Strong grasp of revenue recognition principles under ASC 606, particularly in usage-based or consumption-driven business models - Demonstrated ability to partner cross-functionally and influence decisions across the organization - Ability to work in-person in our NYC office Bonus: - Experience with usage-based or consumption pricing models - Experience in product-led growth (PLG) businesses - SQL proficiency and comfort working directly with data

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Safeguards Enforcement Analyst, Account Takeover &...

Negotiable

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Safeguards Enforcement Analyst on the account abuse team, you'll build and execute enforcement workflows that keep our products safe, with a focus on detecting and mitigating potential harm. Your initial focus will be account compromise: Anthropic's enforcement systems have to distinguish customers whose accounts have been compromised from actors abusing the platform — and today those two populations can look identical in the data. Stolen credentials and leaked keys are a growing abuse vector, and the collateral damage from enforcement against them lands on legitimate users. You'll own this problem end to end: detection, revocation, user notification, remediation, and the criteria for restoring access — turning what is today ad hoc incident response into a scalable, repeatable program. This position may expand into broader areas of enforcement over time. Safety is core to our mission, and you'll help shape policy enforcement so that our users can safely interact with and build on top of our products in a harmless, helpful, and honest way. Key responsibilities - Investigate credential-compromise incidents across first-party and third-party platforms, tracing actor behavior across accounts and surfaces - Design and operate remediation workflows for compromised accounts: revocation, customer notification, and standards for restoring access - Partner with Engineering and Data Science teams to improve how we separate compromised-customer traffic from willful abuse - Enforce usage policies with a focus on detecting and mitigating potentially harmful use of AI systems - Work with threat intelligence on emerging credential-abuse patterns and the actors behind them - Support the Safeguards policy design team by providing detailed feedback on policy gaps based on real enforcement scenarios - Keep up to date with emerging AI policy enforcement best practices, and use these to inform our decision-making and workflows - Write the policy framework for compromise scenarios, including cases where Anthropic can't independently verify a customer's security posture - Act as the enforcement SME when account compromise intersects with active abuse investigations Minimum qualifications - Experience in trust and safety, fraud investigation, security operations, or a related field - Subject matter expertise in one or more of: account takeover, credential abuse, session security, or incident response - Experience designing or operating enforcement, remediation, or customer-recovery flows — not just detection - Comfort using data (SQL or similar tools) to trace actor behavior across accounts and to measure what's working - A thoughtful perspective on the tension between protecting the platform and restoring access for legitimate compromised customers - Strong written communication skills, with experience producing clear briefs about messy incidents for technical and non-technical stakeholders - Excellent judgment and the ability to collaborate with team members while navigating rapidly evolving priorities and work

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Enterprise Solutions Engineer - Chile

Negotiable

ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $11B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. This role is onsite and a successful candidate should be based in Chile. ABOUT THE ROLE As a Solutions Engineer, you'll work as part of a driven team to unlock the full potential of our voice AI platform for a growing customer base. Your mission is to efficiently scale our technical solutions to many enterprise customers, both directly and by improving our internal processes and supporting our sales teams. As a Solutions Engineer, you can expect to: - Collaborate strategically with Account Executives to enhance the technical aspects of the sales process. - Work directly with technical contacts from our customers and prospective customers to provide bespoke support and architect solutions. - Craft compelling technical demonstrations that clearly communicate our product's value proposition. - Create technical enablement resources that amplify our sales team's effectiveness and technical fluency. - Build self-service tools and documentation that empower customers to implement solutions independently. - Identify opportunities to productize common integration patterns or features, and work with our product teams to make these real! REQUIREMENTS We're looking for exceptional individuals who excel at working with customers on technical problems and excited to work with us to scale this efficiently. You'll thrive with us if you: - Are passionate about AI, technology an

R

Director of Safety ML

Negotiable

Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 126 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . Reddit is continuing to grow our teams with the best talent. This role is completely remote friendly within the United States. If you happen to live close to one of our physical office locations (San Francisco, Los Angeles, New York City & Chicago) our doors are open for you to come into the office as often as you'd like. We’re looking for a Director of Machine Learning to lead Reddit’s efforts in building industry-leading ML systems that keep our platform safe and foster healthy online communities. This leader will drive the strategy, development, and deployment of machine learning models that detect and prevent harmful content and behavior at scale. In this role, you will own the roadmap for Safety and moderation ML, lead a team of applied scientists and engineers, and partner cross-functionally across Product, Engineering, Safety operations, Trust & Community, and AI/ML Platform to innovate on real-time detection, automation, and user protection systems. You will leverage modern ML — including fine-tuned LLMs — to ensure Reddit remains a safe, welcoming, and positive environment for our global user base. Responsibilities - Set the vision and strategy for applying ML to Trust & Safety, ensuring scalable, proactive protection against evolving abuse patterns. - Lead and grow a high-performing Safety ML organization, including applied research, model development, productionization, and continuous improvement. - Develop and deploy cutting-edge Safety ML systems (including fine-tuned LLMs and transformer models) that outperform state-of-the-art solutions in quality, latency, and efficiency. - Partner with Trust & Safety, Product, Moderation, and AI/ML Platform teams to identify safety risks, emerging harm vectors, and ML opportunities that improve detection, enforcement, and user experience. - Drive successful experimentation, evaluation, and model lifecycle management, ensuring high precision, recall, explainability, and policy alignment. - Champion ethical and responsible AI practices in all Safety ML solutions. - Track performance through metrics, research-based iteration, and alignment with Reddit’s safety policies and regulatory standards. - Represent Safety ML leadership internally and externally — including conferences, publications, industry groups, and cross-company collaboration initiatives. Required Qualifications <li&

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Member of Creative Studio (Producer, Brand & Creat...

Negotiable

ABOUT THE ROLE We're looking for a Producer to be the operational backbone of Perplexity's creative team. Our creative output is scaling fast — brand campaigns, GTM launches, shoots, partnerships — and we need someone who can run the production of all of it so our designers, motion designers, and brand leads can stay focused on the creative work. You'll be the connective tissue between creative vision and real-world execution: coordinating projects across multiple teams, managing vendors and contractors, organizing shoots, and handling the licenses and contracts that keep everything legitimate and on track. You know how to protect creative intent while keeping timelines grounded in reality. You'll report into the Brand/Creative Studio team and partner daily with Brand, Motion, Web, and our cross-functional partners in Comms, Product Marketing, and Partnerships. WHAT YOU'LL DO - Coordinate creative projects across multiple teams — owning scopes, timelines, budgets, and delivery so nothing falls through the gaps - Be the single point of contact for cross-functional partners (Comms, Product Marketing, Partnerships, Events) so requests are triaged, scoped, and delivered - Source and manage vendors, contractors, freelancers, and external agencies — negotiating, briefing, and keeping relationships strong - Organize and run shoots end-to-end: casting, location scouting, scheduling, crewing, and on-set logistics - Own licenses, contracts, releases, and rights management — keeping the team compliant and unblocked - Build and run a production workflow and intake process that keeps a fast-moving creative team organized without adding bureaucracy - Partner with post-production to make sure final assets are delivered on time and to spec - Protect the team's focus — handle the operational weight so creatives can do their best work WHAT WE'RE LOOKING FOR - Experience as a producer on an in-house creative or brand team (e.g., Brand Producer / Creative Producer), ideally at a tech or consumer software company - A track record coordinating creative projects across teams and keeping them on time, on budget, and on brand - Hands-on experience managing vendors, contractors, and agencies, including negotiating and managing contracts - Experience organizing shoots — photo and video — and handling the logistics, licensing, and releases that come with them - Strong program and project management instincts; you bring order to a fast, ambiguous environment - Excellent communication and stakeholder management — you keep a lot of people aligned without slowing them down - Fluency with creative tools and workflows (Figma, Adobe Creative Suite) and the production process from concept to delivery - Comfort working alongside strong creative leaders — this role is about enabling great creative work, not directing it NICE TO HAVE - Experience standing up production processes and intake systems from scratch - Background in both brand/campaign production and event or experiential production - A network of trusted vendors, photographers, directors, and production partners

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Data Scientist, Payments

Negotiable

Who we are About Stripe 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, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career. About the team Our Data Science team partners deeply with teams across Stripe to ensure that our users, our products, and our business have the models, data products, and insights needed to make decisions and grow responsibly. We're looking for data scientists with a passion for analyzing data, building machine learning and statistical models, and running experiments to drive impact. Our work is broad and varied, influencing how our products work (e.g., understanding user needs, preventing fraud, or optimizing charge flows), how our business works (forecasting key outcomes, managing liquidity, and quantifying risk exposure), how our go-to-market motions operate (designing growth experiments, optimizing marketing investments, refining sales processes, and estimating causal effects), and everything in between. We have a variety of Data Science roles and teams across Stripe and will seek to align you to the most relevant team based on your background. What you’ll do We’re looking for a Data Scientist to partner with our Local Payment Methods (LPM) engineering and product teams. You’ll play a key role in understanding, growing, and optimising our LPM business, leveraging data to make strategic business decisions. As Data Scientists at Stripe, it's our mission to ensure that the company strategy, products, and user interactions make smart use of our rich data, using techniques like machine learning, statistical modeling, causal inference, optimization, experimentation, and all forms of analytics. Who you are We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement. Minimum requirements - PhD, MSc or MA with 2 years, or BS or BA with 3 years of data science or quantitative modeling experience - Proficiency in SQL and a computing language such as Python or R - Experience in working with cross-functional teams to deliver results - Ability to communicate results clearly and a focus on driving impact - A demonstrated ability to manage and deliver on multiple projects with a high attention to detail - Strong business acumen and experience in synthesizing complex analyses into actionable recommendations - Proficiency with AI tools to accelerate model development, analysis, and coding Preferred qualifications - Strong knowledge and hands-on experience in several of the following areas: machine learning, statistics, optimization, product analytics, causal inference, and experimentation - Experience deploying models in production and adjusting model thresholds to improve performance - Experience designing, running, and analyzing complex experiments or leveraging causal inference designs - A builder's mindset with

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Staff+ Software Engineer, Developer Acceleration

Negotiable

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. Staff+ Software Engineer, Developer Acceleration About the Role Anthropic is seeking talented and experienced Staff+ Software Engineers to join Developer Acceleration within the Developer Productivity organization. The Developer Acceleration team is responsible for the infrastructure that enables thousands of employees to be productive via agents. By joining this team, you'll have a direct impact on the velocity and quality of Anthropic's research and engineering development. You will be defining how AI transforms our work and building the future of agentic productivity. Some things that the team owns: - Agent Runtime Platform for provisioning and running agents - Knowledge for providing relevant internal context to agents and humans Some of our work is mentioned in When AI Builds itself and Building effective human-agent teams . Responsibilities - Define the future of agentic productivity at scale and at the frontier - Own the technical strategy and roadmap for your area, translating goals into concrete execution - Define what quality means for agent-driven engineering work, and hold that line across the company - Stay hands-on: build and ship the runtime platform and tooling - Build agent harnesses and experiment with various context management strategies to improve agent performance and correctness - Write evals to benchmark agent behaviors - Deliver impact by collaborating cross-team - Own infrastructure scalability and reliability, and establish operational excellence practices You May Be a Good Fit If You: - Have 10+ years building and operating large-scale distributed systems - Have 3+ years of experience leading large scale, complex projects or teams as an engineer or tech lead - Have a lot of experience with agents, eg. agents doing technical/knowledge work - Are obsessed with productivity and transforming how we work - Have experience building scalable platforms - Have excellent communication skills and enjoy supporting internal partners Strong Candidates May Also Have: - Deep understanding of, and care for, how human work will evolve; and a drive to help shepherd that transition - Experience with container or VM orchestration at scale - Experience working with researchers and engineers - Developer productivity or infrastructure experience, such as CI/CD, builds, etc. - Experience building widely adopted CLI tools and services Deadline to apply: None. Applications will be reviewed on

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Enterprise Account Executive, Retail

Negotiable

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As an Enterprise Account Executive, Retail based in Tokyo, you'll drive the adoption of safe, frontier AI technology across Japan's retail and consumer commerce organizations. You'll own the full sales cycle from prospecting to closing, working with senior leaders to help them optimize operations, personalize customer experiences at scale, and strengthen their competitive position with Anthropic's AI solutions. Responsibilities: - Own and exceed revenue targets by winning new major retail accounts and expanding existing relationships across Japan's domestic retailers, convenience store chains, e-commerce platforms, and omnichannel brands - Build and execute territory plans, identifying high-value opportunities across supermarket and convenience store groups, specialty retailers, fashion houses, and marketplace platforms - Lead consultative sales processes with senior executives — including CIOs, CDOs, CMOs, and heads of supply chain and e-commerce — positioning AI as a driver for demand forecasting, personalization, inventory optimization, and enhanced customer experience - Orchestrate internal teams (Product, Engineering, Applied AI, Partnerships) to deliver solutions that integrate with existing retail technology stacks while meeting Japan's data privacy requirements under the APPI framework You may be a good fit if you have: - 8+ years of enterprise sales experience in Japan with significant exposure to retail and consumer commerce accounts, driving adoption of emerging technologies with a consultative, solutions-oriented approach - A track record of managing complex sales processes and securing strategic deals with large-scale retailers by understanding the operational and technology challenges unique to Japan's retail landscape - Demonstrated ability to navigate retail stakeholder ecosystems, building consensus across merchandising, supply chain, digital, and customer experience teams with multiple budget authorities and approval layers - Proven experience exceeding revenue targets by effectively managing pipeline across seasonal retail cycles and the rapid decision-making cadence of consumer-facing businesses - A knack for bringing order to chaos and an enthusiastic "roll up your sleeves" mentality — you are a true team player who thrives in ambiguous, startup-like environments - A strategic, analytical approach to identifying opportunities within Japan's retail sector combined with patient, relationship-focused execution - A passion for and/or experience with advanced AI systems. You feel strongly about ensuring frontier AI systems are developed safely and responsibly for broad benefit - Excellent communication skills in both Japanese and English What We Offer - Competitive base salary and commission structure commensurate with experience - Equity participation - Comprehensive benefits package - Hybrid work model with flexibility - Access to cutting-edge AI technology and world-class re

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Sales Development - United States

Negotiable

ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $11B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. About the role As a Sales Development Representative (SDR) based in the USA, at ElevenLabs you will play a crucial role in building an effective outbound sales strategy, while working closely with the Account Executives. We don't just sell a product or custom-level solutions; we are partnering with enterprises to help them generate new experiences and monetization opportunities at scale with our breakthrough voice technology. In this role you will: - Conduct research to identify potential leads and prospects within the target market — leveraging AI tools, agents, or automated workflows to move faster and at greater scale. - Engage in outbound activities such as cold calling, emailing, and social media outreach to initiate contact with potential customers. - Implement personalized and effective outreach campaigns to maximize lead conversion, using AI agents to handle enrichment, sequencing, and signal monitoring so your focus stays on the highest-value interactions. - Collaborate closely with the Account Executive to exchange insights on prospect feedback, objections, and market trends. - Continuously refine and adjust outreach strategies — including the AI workflows powering them — based on the feedback loop. - Monitor and report key performance indicators (KPIs) related to outbound sales activities, including conversion rates, lead quality, and outreach effect

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Incident Response Manager - Product & Engineering

Negotiable

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role We are looking for an Incident Response Manager to serve as the operational backbone of how Anthropic handles incidents. When things go wrong, you are the person who makes sure the right people are in the room, the right information is flowing, and nothing falls through the cracks. The right person for this role brings structure and rigor to high-volume, high-stakes situations without waiting for a playbook to be handed to them. You will work across engineering, product, security, legal, go-to-market, and leadership to ensure Anthropic responds to incidents with speed, clarity, and accountability. This is not a role where you follow existing runbooks; it is a role where you write them, and where you operate effectively even when the runbook does not yet exist. Responsibilities - Build the incident response management function, establishing the processes, tooling, and operational standards that define how we handle incidents at scale - Serve as an on-call incident commander, driving coordinated response across technical and non-technical stakeholders during incidents of varying severity, including managing multiple active incidents simultaneously - Engage the right people at the right time, with a strong sense of urgency, bringing order and direction to fast-moving, ambiguous situations - Own incident communications end-to-end, from real-time internal coordination to external channels like status pages, direct customer outreach, and stakeholder updates, ensuring they reflect Anthropic's commitments to safety, transparency, and accuracy - Participate in blameless incident reviews, contributing operational context and helping drive follow-through on critical remediations so the same class of incident does not recur - Partner with engineering teams to develop and maintain incident response policies, procedures, and escalation frameworks that scale with Anthropic's growth - Partner with engineering, product, security, legal, and go-to-market teams to continuously improve how the organization detects, responds to, and learns from incidents You May Be a Good Fit If You - Have 5+ years of experience in incident management, with direct experience managing technical product or infrastructure incidents (not exclusively security or trust and safety) - Have built or significantly shaped an incident response program, ideally at a high-growth startup or in an environment where you had to create structure rather than inherit it - Demonstrate a strong sense of ownership and urgency, with the ability to operate independently and make sound decisions under pressure without waiting for direction - Are comfortable working in unprecedented situations where processes are still being defined and guidance may be incomplete or conflicting, leaving things better than you found them - Have a track record of effective cross-functional collaboration, particularly with engineering, security, legal, communications, go-to-market, and executive leadership - Bring a blameless, learning-oriented mindset

E

Enterprise Solutions Engineer - Germany

Negotiable

ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $11B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. This role is remote but the successful candidate should be based in Germany or surrounding area. ABOUT THE ROLE As a Solutions Engineer, you'll work as part of a driven team to unlock the full potential of our voice AI platform for a growing customer base. Your mission is to efficiently scale our technical solutions to many enterprise customers, both directly and by improving our internal processes and supporting our sales teams. As a Solutions Engineer, you can expect to: - Collaborate strategically with Account Executives to enhance the technical aspects of the sales process. - Work directly with technical contacts from our customers and prospective customers to provide bespoke support and architect solutions. - Craft compelling technical demonstrations that clearly communicate our product's value proposition. - Create technical enablement resources that amplify our sales team's effectiveness and technical fluency. - Build self-service tools and documentation that empower customers to implement solutions independently. - Identify opportunities to productize common integration patterns or features, and work with our product teams to make these real! REQUIREMENTS We're looking for exceptional individuals who excel at working with customers on technical problems and excited to work with us to scale this efficiently. You'll thrive with us if you: - Are passionate

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IT Engineering Lead

Negotiable

ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $11B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. ABOUT THE ROLE This is a hands-on technical role with lead responsibilities. You will join during a period of high growth for the IT team as the company expands its headcount, global footprint and opens new offices. You will work closely with the Security and Operations teams to keep our endpoints, offices, networks, and SaaS tools secure, while making sure people stay as productive as possible with the tools we have. You will lead the IT Engineering team, balancing hands-on technical work with mentoring, project planning, and hiring. REQUIREMENTS - Experience leading or mentoring an IT Engineering or Technical Operations team, including project planning and hiring. - Strong hands-on background in IT Engineering, Technical Operations, or a DevOps-adjacent role, with an automation-first mindset and experience managing enterprise scale IT systems - Strong knowledge of identity and access management technologies (SAML, SCIM, OIDC) with tools such as Okta and Google Workspace - Expertise with Mobile Device Management tooling (e.g. Jamf, Kandji, Fleet) across a device fleet. - Scripting skills (Python, Bash, or similar) with a proven track record of automating compliance checks, device configuration, and other IT security tasks. - Experience managing office network equipment (e.g. Cisco Meraki, Ubiquiti), including office buildouts. - Proven ability to maintain comp

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Director, Growth Sales (AI & Digital Natives)

Negotiable

About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Locations: Seattle, WA OR Los Angeles, CA About the Role: We are seeking an entrepreneurial Sales Director to lead our DN/AI Growth Segment, focusing on both the acquisition and expansion of our fastest-growing Startup accounts. In this role, you will scale a high-performing team tasked with bringing the world’s most innovative AI companies onto Cloudflare's platform. To thrive, you must bring a founder mentality and deep familiarity with the VC ecosystem to capture high-growth startups at inception. You possess a sharp understanding of the dynamics of the hyperscaler market and the AI landscape, allowing you to position Cloudflare as the definitive infrastructure layer for modern workloads. Finally, you are highly familiar with PLG sales motions, knowing exactly how to identify high-potential, self-serve developer accounts and seamlessly transition them into enterprise expansions. Responsibilities: - Own and exceed quarterly revenue targets, driving both high-velocity new logo acquisition and strategic account expansion within the AI and startup ecosystem. - Recruit, coach, and develop a world-class sales team, instilling a high-tempo, execution-oriented culture tailored to technical buyers. - Effectively articulate Cloudflare’s value proposition across our connectivity cloud, including Workers AI, R2 storage, network security, and developer platforms. - Partner closely with Product, Growth, and Marketing to seamlessly convert self-serve developer usage into structured enterprise agreements. - Act as a key executive sponsor for high-growth startups, founders, and VC partners, positioning Cloudflare as the foundational architecture for the next generation of tech. You might be a good fit if you have: - 10+ years of experience in enterprise software sales with at least 3+ leading sales teams - A proven track record of leading high-performing sales teams in the clou

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Staff Data Scientist, Firefox

Negotiable

Why Mozilla? Mozilla Corporation is the non-profit-backed technology company that has shaped the internet for the better over the last 25 years. We make groundbreaking brands like Firefox, the privacy-minded web browser. Now, with more than 200 million people around the world using our products each month, we’re shaping the next 25 years of technology and helping to reclaim an internet built for people, not companies. Our work focuses on diverse areas including AI, privacy, security and more. And we’re doing this while never losing our focus on our core mission – to make the internet better for people. The Mozilla Corporation is wholly owned by the non-profit 501(c) Mozilla Foundation. This means we aren’t beholden to any shareholders — only to our mission. Along with thousands of volunteer contributors and collaborators all over the world, Mozillians design, build and distribute open-source software that enables people to enjoy the internet on their terms. About this team and role: The Firefox Data Science team partners with Product and Engineering to grow usage of our flagship product: Firefox , the privacy-minded web browser. Our work informs prioritization, investment decisions, and the long-term growth strategy across Firefox. This Staff Data Scientist will own the analytical strategy for a major product area: identifying the right questions, defining how success is measured, and driving decisions that shape Firefox’s growth trajectory. You will be a strategic partner to product and engineering leadership: framing problems, designing measurement approaches, and translating data into clear recommendations that influence roadmap and resource allocation. You will also raise the analytical bar across the team by establishing frameworks, mentoring other data scientists, and setting standards for how we measure and learn. This role requires the judgment to know which problems matter most, the technical depth to solve them rigorously, and the influence to ensure the work drives action. What you’ll do: - Own the analytical strategy for a product area: identifying the highest-leverage questions, defining the measurement framework, and ensuring data-driven decisions - Serve as a strategic partner to product and engineering leadership, translating ambiguous business problems into analytical approaches and clear, actionable recommendations - Define north-star metrics and measurement strategies to set goals, evaluate progress, and make trade-offs - Design and oversee experiments and causal analyses, ensuring methodological rigor and that results drive real product decisions - Develop and maintain a deep understanding of user growth dynamics: how acquisition, activation, and retention interact to drive growth, and use that understanding to diagnose metric movements, explain trends to leadership, and anticipate emerging risks or opportunities - <span styl

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Senior Staff Data Scientist

Negotiable

To learn the Hiring Ranges for this position, please select your location from the Apply Now dropdown menu. To learn more about our Hiring Range System, please click this link. Why Mozilla? Mozilla Corporation is the non-profit-backed technology company that has shaped the internet for the better over the last 25 years. We make pioneering brands like Firefox, the privacy-minded web browser. Now, with more than 225 million people around the world using our products each month, we're shaping the next 25 years of technology and helping to reclaim an internet built for people, not companies. Our work focuses on diverse areas including AI, social media, security and more. And we're doing this while never losing our focus on our core mission to make the internet better for people. The Mozilla Corporation is wholly owned by the non-profit 501(c) Mozilla Foundation. This means we aren't beholden to any shareholders—only to our mission. Along with thousands of volunteer contributors and collaborators all over the world, Mozillians design, build and distribute open-source software that enables people to enjoy the internet on their terms. About this team and role: The Data Science organization shapes Mozilla's most important business decisions through data. As a Senior Staff (P5) Data Scientist, you will be an analytical leader, partnering with senior executives to turn ambiguity into clear, data-driven recommendations that influence Mozilla's long-term strategy. What you'll do: - Strategic Influence: Shape Mozilla's most important business decisions with rigorous, data-driven insights. Turn ambiguity into clear recommendations that influence executive thinking and long-term strategy. - Trusted Partnerships: Build trusted relationships with senior leaders and cross-functional partners. Surface tradeoffs, align stakeholders with differing perspectives, and help teams make better, faster decisions. - Technical Excellence: Design and deliver sophisticated analytical solutions to solve complex, ambiguous problems involving large-scale, high-dimensional data. Set a high technical bar through sound methodology, statistical rigor, and pragmatic execution. - Mentorship and Growth: Serve as a technical leader within the Data Science community. Mentor data scientists, advise managers on technical direction, and elevate the quality of analytical work across the organization. What you'll bring: - Exceptional Communication: Outstanding verbal and written communication skills, with the ability to translate complex technical findings into clear, decision-ready recommendations while preserving analytical rigor. Proven success communicating

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Account Executive - ElevenCreative - Spain

Negotiable

ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $11B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. ABOUT THE ROLE You will own the ElevenCreative enterprise sales motion across Spain, building pipeline and closing deals with enterprise creative and marketing teams. Spain has strong creative demand signals, including growing Pro+ seat adoption, enterprise volume, and a healthy pipeline in dubbing and music - and it is a market where ElevenLabs is positioned to win. ElevenCreative is our AI creative platform - the place where enterprise creative and marketing teams generate and edit speech, image, video, and music using the best AI models available. You will sell the full ElevenCreative suite alongside adjacent capabilities like dubbing, Flows, and Studio to enterprise buyers who are looking to modernize how they produce content at scale. This is a green-field role. You will define the playbook, build the pipeline, and close the deals - working cross-functionally with product, marketing, solutions, and customer success. IN THIS ROLE YOU WILL - Build and manage a growing portfolio of enterprise accounts to drive ElevenCreative revenue in your territory, identifying new business opportunities where AI creative tools can transform how teams produce content - Lead consultative, multi-stakeholder sales cycles, building compelling business cases that translate AI creative capabilities into measurable business value for senior executives and economic buyers - Develop

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Web Product Manager

Negotiable

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We are seeking a Web Product Manager to build and lead the strategy and roadmap for claude.com. As the first web product manager, you will develop and execute the vision that turns our websites into our strongest acquisition, conversion, and storytelling channels. You will work in a fast paced environment driving awareness, preference, and adoption for Claude across prosumer and enterprise audiences. We are looking for a strategic builder. As our first web product manager you should be comfortable shaping strategy and roadmap without an existing playbook, making data-informed prioritization calls, and influencing partners across marketing, design, and engineering. Key responsibilities - Own the web experience strategy for claude.com, setting the vision for how our marketing surfaces work together as a portfolio and ensuring each site performs against its audience and goals - Stand up the web experimentation program across claude.com. Raise the team's experimentation velocity and rigor over time by setting up hypotheses, prioritizing landing page creation, analysis, and rollout. - Drive conversion rate optimization across acquisition, signup, and checkout funnels, identifying the highest-leverage opportunities and partnering with Web Design and Growth Product to ship them - Establish our web analytics foundation with Data Science, ensuring we have the instrumentation, dashboards, and funnel reporting needed to make growth decisions quickly - Lead our international and localization strategy for the web, partnering with regional marketing and localization teams to ensure our surfaces perform in every market we serve - Partner with Growth Product, Data, and Enterprise Marketing to build the tooling, instrumentation, and funnel infrastructure that make web experimentation fast and measurable - Collaborate with SEO and paid channel owners on on-page requirements and landing page experiments - Coordinate inbound web requests from Product Marketing, Enterprise Marketing, Sales Ops, and other stakeholders, prioritizing against growth impact rather than request volume - Build a durable measurement story for the web, for example, what we're testing, what we've learned, and what it's worth to the business. Communicate it regularly to marketing and executive leadership. Minimum qualifications - Strong strategic thinking abilities, with the ability to translate Anthropic's business goals into a clear, prioritized web roadmap that aligns with broader marketing and product strategy - Track record of driving measurable business results through the web in competitive, fast-moving markets - A strong point of view on what makes the web a category-defining channel for a technology company - A track record of running experimentation programs that moved meaningful business metrics, with a clear ROI story rather than just a backlog of A/B tests - Setting strategy for localized web experiences and workflows across various regions and languages - Strong quantitative instincts and fluency with analytics tools, funnel modeling, and experimentat

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Machine Learning Engineer II (Servicing ML)

Negotiable

Affirm is reinventing credit to make it more honest and friendly, giving consumers the flexibility to buy now and pay later without any hidden fees or compounding interest. On the Servicing ML team, you will build and improve machine learning and AI systems that automate customer operations such as disputes, returns, fraud, and chargebacks to make the best decisions for Affirm and our customers. You will work closely with experienced ML engineers, platform partners, and cross-functional stakeholders to take models from idea to prototype to production, and to keep them healthy with strong measurement and monitoring. What you'll do - You will develop AI systems that automate dispute and chargeback handling using structured evidence and business logic, creating a better experience for our customers. - You will build models that automate refunds, getting money back to our customers faster. - You will build and maintain evidence extraction pipelines that process unstructured data using LLM-powered workflows to produce structured, actionable outputs. - You will prototype new modeling ideas, run offline experiments, and drive the best-performing approaches into production with appropriate risk controls. - You will collaborate across Engineering, Servicing Operations, Product, and ML Platform to define requirements, evaluate tradeoffs, and communicate results clearly to both technical and non-technical audiences. What we look for - You have a total of 2+ years of experience as a machine learning engineer - Strong Python skills and experience writing production-quality code - Experience building and evaluating models for tabular classification problems (preferably gradient-boosted decision trees like LightGBM/XGBoost/CatBoost). - Experience building applications with LLM APIs (e.g., OpenAI, Anthropic), including structured extraction, prompt engineering, and orchestration frameworks like LangChain or LangGraph. - Familiarity with document and unstructured data processing (PDF/image extraction, text parsing, or similar). - Experience with ML lifecycle tooling for training orchestration, experimentation, and model monitoring (e.g., Kubeflow, Airflow, MLflow, or equivalent internal platforms). - Proficient in using AI-powered developer tools (e.g., Claude Code, Cursor, or similar) to accelerate iteration, debugging, and code quality as part of day-to-day development workflows. - You have mastered taking a simple problem or business scenario into a solution that interacts with multiple software components, and executing on it by writing clear, easily understood, well tested and extensible code. - You are comfortable navigating a large code base, debugging others' code, and providing feedback to other engineers through code reviews. - Your experience demonstrates that you take ownership of your growth, proactively seeking feedback from your team, your manager, and your stakeholders. - You have strong verbal and written communication skills that support effective collaboration with our global engineering team. Pay Grade - L Equity Grade - 5 Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors,

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Engineering Manager, Continuous Deployment and Cha...

Negotiable

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's services change constantly. Application code, infrastructure, and runtime configuration all move to production many times a day. Our Safe Change team builds the continuous-deployment and feature-flagging systems that make those changes safe and reliable. The continuous-deployment platform moves a change through staged promotion, runs health checks at each phase of deployment, and gives service owners the levers to respond the moment something regresses. We provide the tools to modify runtime behavior, roll out configuration safely, and test changes. This team provides the paved path that lets everyone at Anthropic ship frequently without trading away reliability or security. We're looking for an engineering manager to lead this team. The continuous-deployment platform is already widely adopted across Anthropic, and the mandate is expanding quickly: bringing configuration changes onto the same safe path as code, supporting additional deployment surfaces, building progressive rollouts, and establishing the golden path for safe deployments that every team across the company will rely on. You'll lead a team building infrastructure that nearly every other engineer at Anthropic depends on, and you'll partner closely with product, inference, security, and infrastructure teams to make deployment safety a standard property of the platform rather than something each team reinvents. Key responsibilities - Lead and grow a team of engineers building Anthropic's continuous-deployment, configuration, and feature-flagging platforms, owning planning, execution, and delivery against key milestones - Set technical direction for the safe deployment of code, infrastructure, and configuration across Anthropic's services - Partner with product, inference, security, and infrastructure teams to migrate services onto the paved path and make safe deployment the default - Drive the roadmap for progressive rollouts, health-check automation, first-class configuration deployment, and expansion to new deployment surfaces - Define and track the metrics that measure deployment safety and speed and hold the team accountable to them - Create clarity for the team and stakeholders in an ambiguous, fast-moving environment where the platform is still being built out - Take an inclusive, equitable approach to hiring, coaching, and career development, and sustain a high-performing, healthy team - Represent the team across the engineering organization and contribute to engineering-wide initiatives as a member of Anthropic's engineering management group Minimum qualifications - Experience managing and growing a team of software engineers - A hands-on software engineering background as an individual contributor prior to moving into management - Experience building or operating backend, distributed, or infrastructure systems in production - <

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Senior Machine Learning Engineer, Ads Foundational...

Negotiable

Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 126 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . Location: Reddit has a flexible first workforce. Don't live near our office? No worries: you can work remotely from anywhere in the UK or the Netherlands. The Ads Foundational Representations (AFR) team develops signals and representations of Reddit’s core entities (ads, posts, users, and so on), capturing the semantic, contextual, and behavioral information that Reddit Ads needs. We work on building embeddings to understand content and users' interests based on the content they engage with. Our team has the potential to highlight one of Reddit's biggest differentiators: genuinely curated, high-quality, extremely relevant, and daily updated organic content. We are a Machine Learning/Data heavy team with a focus on the following areas: - Multimodal & Content Embeddings - Make sense of organic (posts, comments, subreddits) and promoted (ads, shopping products, their landing pages) text and media content by embedding them into a shared space. - Contextual and Behavioral Relevance - Working with Product & Data Science, establishing definitions of what ads are relevant to users and the content we show them next to, building metrics and fine-tuning embeddings to better reflect relevance. - Knowledge Graph Embeddings - Building representations for the Knowledge graph entities, e.g., intellectual properties/brands, to be used for high-precision targeting & business insights. - User Intent Modeling - Leveraging various techniques to introduce user representations based on the content they interact with: batch & real-time sequence modeling, LLM summarization, etc. - LLM-based Representations - Leveraging LLMs, VLMs, and foundational models to build complex representations of Reddit entities that improve ranking outcomes The signals and features we create become a key piece in the Ads Delivery funnel, from targeting to the auction, as well as the Business Insights product and other advertiser-facing products such as Creative generation and optimization. As a Senior ML Engineer , you’ll be in charge of the full-cycle execution of ML projects - from collaborating with cross-functional teams on requirements and design, to the implementation of the feature and its experimentation. Responsibilities - Developing new or iterating on existing emb

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Customer Success - Scale - Western Europe

Negotiable

ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $11B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. ABOUT THE ROLE This role partners directly with rapidly growing customers across EMEA to drive adoption of the ElevenLabs platform - spanning core speech models, creative tools, and Agents. The focus is scaling the customer success motion to a large book of business. You will administer onboarding and enablement tactics across multiple products, advising on best practices for deploying ElevenLabs across web, mobile, and backend systems. You will analyze product usage and performance signals to identify friction points, unblock adoption, and help customers realize measurable value from the platform. In parallel, you will own commercial outcomes across a defined portfolio of approximately 80 accounts. Success is measured by Gross Revenue Retention and Net Revenue Retention, with a strong emphasis on sustained multi-product adoption. You will identify expansion opportunities, drive renewals and upsells, and partner closely with Sales, Engineering, and Customer Success leadership to turn technical success into durable revenue growth. REQUIREMENTS - 3-5 years of Customer Success or Account Management experience supporting complex B2B SaaS, Developer Tools, or AI/ML products in the EMEA region - Familiarity and experience with building and deploying AI agents - Familiarity and experience with API Integrations, and comfort and knowledge of navigating SDKs - Proven exp

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Software Engineer, Core Product

Negotiable

ABOUT THE ROLE AND TEAM We are building the future of open-ended interactions between people and intelligent agents. This requires rethinking design, user interfaces, workflows and interactivity from first principles. We’re looking for a Core Product engineer who is genuinely excited about this future and can make significant contributions to our front-end development efforts. If you are a skilled software engineer with a deep passion for front end development, design, craft, and you thrive in a fast-paced, agile environment, we encourage you to apply for this exciting opportunity. WHAT YOU’LL DO - Develop highly performant, visually appealing, and user-friendly interfaces that push the boundaries of what's possible. - Enhance and refine our user interface, focusing on engaging our users by fulfilling their needs, desires, and expectations. - Collaborate closely with the design team to translate visionary concepts into tangible user experiences and product interfaces. - Establish, evolve, and maintain design foundations, systems, and patterns for the team, setting the bar for product consistency and quality. - Collaborate with others to define and implement new product features and design patterns WHO YOU ARE - Experience as a Front-End or Full-Stack Software Engineer with a strong focus on user experience and design systems - Deep understanding of Typescript, React, React Native, Tailwind, HTML, and modern front-end best practices. - Demonstrated experience with building features and experiences for consumer products - Passionate about the pixels, an exceptional eye for detail, and a focus on craft and polish - Proven ability to work in a fast-paced development environment and deliver timely results. - Excellent communication and collaboration skills across engineering, product, design, and data. ABOUT CHARACTER.AI Character.AI http://Character.AI empowers people to connect, learn and tell stories through interactive entertainment. Over 20 million people visit Character.AI http://Character.AI every month, using our technology to supercharge their creativity and imagination. Our platform lets users engage with tens of millions of characters, enjoy unlimited conversations, and embark on infinite adventures. In just two years, we achieved unicorn status and were honored as Google Play's AI App of the Year—a testament to our innovative technology and visionary approach. Join us and be a part of establishing this new entertainment paradigm while shaping the future of Consumer AI! At Character, we value diversity and welcome applicants from all backgrounds. As an equal opportunity employer, we firmly uphold a non-discrimination policy based on race, religion, national origin, gender, sexual orientation, age, veteran status, or disability. Your unique perspectives are vital to our success.

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Member of Technical Staff (Software Engineer, Clou...

Negotiable

ABOUT PERPLEXITY AI Perplexity is an AI-powered answer engine built to serve the world’s curiosity with fast, trustworthy answers grounded in the live web and backed by clear citations. It combines multiple leading models with real-time search to synthesize up-to-date, source-linked responses instead of traditional search results. On top of this foundation, Perplexity is rolling out Computer, a general-purpose AI worker that can use software like a human to research, build, and execute end-to-end workflows for users. ABOUT THE ROLE The Cloud Infrastructure team owns the foundational cloud primitives and deployment models that power Perplexity's products, from multi-tenant public cloud to single-tenant and on-premises solutions for enterprise customers. As Perplexity grows its Computer and Enterprise products, this team builds and operates the security, isolation, and compliance layers that customers depend on. We provide the deployment topologies, multi‑region infrastructure, and core services that enable Perplexity to run reliably and efficiently for both consumer traffic and large enterprises. KEY RESPONSIBILITIES - Own the roadmap and technical strategy for agent-driven cloud infrastructure management. - Design and operate Perplexity’s cloud networking fabric, including VPC architectures, private connectivity, and peering with hyperscalers and neocloud providers to support low-latency, high-throughput AI workloads. - Architect and scale compute platforms (Kubernetes/EKS, autoscaling groups, and mixed CPU/GPU fleets) to efficiently serve online request traffic and background workloads across regions. - Build and maintain secure, isolated deployment topologies for multi-tenant, single-tenant, and customer‑owned cloud (BYOC) environments, including cross-account networking, identity, and policy guardrails. - Implement and evolve multi-region strategies for availability, failover, and data locality, including traffic routing, regional capacity planning, and disaster recovery playbooks. - Partner with security to deliver enterprise controls such as BYOK/KMS integrations, network isolation, and auditability required for regulated customers. - Develop automation, tooling, and runbooks that make day‑2 operations (provisioning, upgrades, incident response) predictable and repeatable for Perplexity products across all environments. QUALIFICATIONS - Deep experience designing and operating cloud infrastructure on AWS (VPC design, routing, security groups, load balancing, private connectivity). - Strong background with Kubernetes/EKS and container orchestration, including multi‑cluster, multi‑region, or multi‑account setups. - Hands-on experience with cloud networking and peering (VPC peering, Transit Gateway, private link/service endpoints, or similar constructs in neoclouds). - Experience building or operating secure, isolated environments for enterprise customers (single‑tenant, BYOC, or on‑prem), ideally including BYOK/KMS integrations and compliance constraints. - Proficiency with infrastructure as code (Terraform) and strong software engineering skills in at least one of Python, Go, or Rust for automation and tooling. - Strong debugging and incident management skills across distributed systems (networking, compute, and platform layers), with a track record of driving root‑cause analysis and long‑term fixes. - 7+ years of industry experience building and operating production cloud infrastructure, including leading the design of complex systems or migrations. If you’re excited about this role, we encourage you to apply even if your experience doesn’t match every qualification listed above.

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Executive Director, Corporate Strategy & Intellige...

Negotiable

Your work will change lives. Including your own. The Impact You’ll Make Recursion is at a strategic inflection point. With a growing clinical pipeline, expanding global partnerships, and one of the most powerful AI-native end-to-end drug discovery platforms, we are seeking a strategist who can translate intelligence into decisive action. At Recursion, our mission is to industrialize and transform the development of medicines by integrating data-driven insights and advanced analytics throughout the entire development lifecycle. As an Executive Director in Corporate Strategy & Intelligence, you will play a pivotal role in defining Recursion’s competitive and commercial position and turn that understanding into a strategy that shapes pipeline prioritization, partnership decisions, and long-range growth. You will leverage competitive & commercial insights to be a principal architect of Recursion’s strategic choices, sharpening our BD focus and maximizing the potential for both scientific and commercial impact. Ideal candidates are equally comfortable building rigorous commercial models as they are presenting bold strategic recommendations to leadership, all with the goal of driving enterprise decision-making as we advance transformative medicines for patients. In this role, you will: - Lead commercial assessment, strategic fit analyses, and the design of competitive moats for pipeline assets from early validation through late-stage development. Integrate epidemiology, patient segmentation, competitive positioning, pricing & market access dynamics, and revenue forecasts to inform go/no-go, prioritization, and partnering decisions. - Own the end-to-end competitive intelligence function for specific Recursion initiatives and BD opportunities: leverage agentic approaches, as well as advanced analytics & modeling to define the strategic framework, build the intelligence infrastructure, and deliver timely, decision-grade insights on competitors, therapeutic area dynamics, evolving platform technologies, and the broader drug discovery ecosystem. - Grow and refine a real-time intelligence system that synthesizes complex signals from clinical data, regulatory filings, investor disclosures, scientific publications, partner pipelines, and industry events into a coherent, real-time-updated strategic picture. Strive to preempt market disruptions and identify white space opportunities. - Collaborate with functional line leaders and the C-suite to inform corporate strategy development and long-range planning, translating competitive and commercial intelligence into actionable strategic choices and high impact narratives on portfolio prioritization, platform positioning, partnership strategy, and growth vectors. - Propagate the Recursion mindset of radically changing lives by constantly seeking transformative improvements in how we advance innovative concepts for clinical benefit, all while ensuring Recursion’s strategy is grounded in competitive reality and built to move with urgency. The Team You’ll Join As Executive Director, Corporate Strategy & Intelligence, you will work across the Recursion Portfolio, partnering with colleagues in Discovery, Platform, External Partnerships, ClinTech and Clinica

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Manager, Software Engineering - AI Product (London...

Negotiable

Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! We’re looking for an Engineering Manager to join the Developer Tools team at Figma. This team is building solutions targeting mainly frontend and full stack developers, helping them bring products from idea to production faster than ever. As a manager on the Developer tools team you will lead teams working across Dev Mode, MCP, Code Connect, and more. You’ll also be responsible for helping define the future of our developer offering, very likely helping incubate and lead new product development. Developer tools is a major initiative at Figma and is spearheaded from the London office. You’ll be working on one of the most exciting areas within Figma incorporating design thinking, the latest AI developments, and open source developer tooling. This is a full time role that can be held from our London hub or remotely in the UK. What you’ll do at Figma: - Manage and support a team of product engineers focused on building and expanding Figma’s developer offerings, including Dev Mode, MCP, Code Connect, and more - Partner closely with cross-functional stakeholders to coordinate work across product, design, engineering, and other functions - Define strategy & roadmap for your team and execute on that roadmap with a high degree of autonomy, velocity, and craftsmanship - Provide hands-on technical leadership to your teams and others that collaborate with your teams to ensure a cohesive product experience and the right technical abstractions - Recruit, mentor, and retain high performing engineers (and help with other cross functional roles). You’ll foster a culture of innovation, collaboration and taking calculated risks - Figma is committed to building an inclusive and diverse team and culture. We expect all of our leaders to play a role in helping to build and drive these initiatives through hiring, community events, and other programs in partnership with teams across all of Figma We'd love to hear from you if you have: - 2+ years of experience managing software engineers working on products used by external users - A proven track record of building AI-powered products (both as a manager and individual contributor) that are best in class in user experience - Demonstrated ability to tie product and engineering work to clear business impact - Demonstrated leadership skills in building a high-performing and highly engaged engineering team; including mentoring, and growing senior engineers - Strong ability to build and operate fast-moving teams that balance innovation with execution - Genuine curiosity and enthusiasm for emerging AI technologies and their application to user-facing products While not required, it’s an added plus if you also have: - Experience building large scale systems using React, C++, and/or Ruby - Experience building & maintaining open source software and/or libraries for developers - Knowledge and experience in generative AI, RAG, the fine-tuning process and its application to creative products </ul

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Staff Technical Product Manager, Ads ML Platform

Negotiable

Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 126 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . Team Description: The Ads Marketplace team is a strategic growth engine for Reddit Ads. Our mission is to democratize high-performance advertising by enabling brands to achieve world-class results with minimal friction. To achieve this, we need an incredibly robust, scalable, and state-of-the-art Machine Learning infrastructure. The Ads ML Platform team is at the core of this mission, tasked with building the foundation that powers all of our content understanding, ad targeting, and ad ranking models. We are empowering our ML engineers and data scientists to move faster and build smarter. The Role: As the Staff Product Manager for the Ads ML Platform, you will hold significant ownership over the infrastructure and tools that make our ads marketplace intelligent. You will define the vision and build the roadmap for a platform that enables unparalleled engineering velocity and supports the most modern ML architectures. You will be the bridge between complex ML systems and business outcomes. Whether it's integrating generative AI to increase developer productivity, establishing unified model-serving infrastructure, or optimizing GPU utilization, your work will directly accelerate how quickly and effectively we can ship highly-performant ad products. If you are passionate about the intersection of platform engineering and state-of-the-art ML research, this is the role for you. Responsibilities - Define the Vision: Shape the long-term strategy and roadmap for Reddit’s Ads ML platform, ensuring we are adopting cutting-edge technologies (including Generative AI and LLM workflows) to stay ahead of the curve. - Accelerate Velocity: Build products and tooling that dramatically reduce friction for Machine Learning Engineers (MLEs) and Data Scientists, enabling them to train, deploy, and iterate on models faster than ever. - Cross-Functional Leadership: Partner deeply with Engineering, Data Science, and Ads Product teams to understand their constraints, prioritize platform initiatives, and deliver scalable infrastructure. - Drive Execution and Adoption: Own key performance indicators (KPIs) around platform reliability, latency, cost-efficiency, usage metrics, and developer productivity. - Stay Cutting-Edge: Keep your finger on the pulse of the broader ML ecosystem. Read the latest research papers, understand emerging architectures, and determine how they can be practically a

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Engineering Manager, Ads ML Efficiency

Negotiable

Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 126 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . Reddit has a flexible workforce! If you happen to live close to one of our physical office locations our doors are open for you to come into the office as often as you'd like. Don't live near one of our offices? No worries: You can apply to work remotely in any country in which we have a physical presence. About the Role Reddit is building a dedicated Ads ML Efficiency function to make model training and inference materially faster, cheaper, safer, and more scalable. As the Engineering Manager for this team, you will lead a group focused on model optimization, training efficiency, GPU enablement, load testing, model performance tooling, and efficiency guardrails across Ads ML. This role sits at the intersection of ML modeling, systems optimization, and organizational leverage. You will partner closely with ranking teams, ML Platform teams and serving owners to identify the highest-value bottlenecks, land measurable efficiency wins, and build the tooling and operating mechanisms that make those wins repeatable. What you’ll do: - Lead & Grow: Hire, mentor, and retain a high-performing team of ML engineers / systems-oriented engineers working on model optimization and ML efficiency. - Set Technical Direction: Define the roadmap for training optimization, inference optimization, launch-readiness tooling, and reusable efficiency primitives across Ads ML. - Deliver Measurable Wins: Drive reductions in model training time, online latency, serving cost, and infra-driven launch risk. - Build Systems and Tooling: Guide the development of profiling, benchmarking, load testing, observability, cost analysis, debugging, and efficiency certification systems. - Operate in the Critical Path: Partner with model owners and platform teams to accelerate high-priority launches and remove bottlenecks from the path to production. - Shape the Team’s Evolution: Balance near-term white-glove optimization work with medium-term platformization and automation. - Build XFN Alignment: Work closely with MLP, AMP, Ranking, and serving teams to clarify boundaries, upstream generic wins, and keep Ads needs on track. - Raise the Bar: Establish engineering rigor around measurement, performance debugging, launch safety, and technical decision-making for efficiency work. What we’re looking for: <li&gt

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Manager II, Engineering - Applied AI (NorAm)

Negotiable

Datadog's Applied AI group builds AI foundations and AI-powered features across the Datadog platform. We train ML models, build agents, and ship natural language interfaces that help thousands of customers detect problems, investigate incidents, and act on their infrastructure. Our teams work with some of the world's richest observability data, hundreds of trillions of data points per day, to build production AI at real scale. Our work spans ML models, agentic systems, conversational AI, foundation models, and the infrastructure that supports them. As a Manager II, you will lead multiple teams of engineers, applied scientists, and managers in this space. You own the technical direction and the team culture. You drive work from research through production, partner with product to set priorities, and help shape how Datadog uses AI to close the loop between detecting a problem and fixing it. At Datadog, we place value in our office culture—the relationships and collaboration it builds and the creativity it brings. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You'll Do: - Lead and grow multiple teams of engineers, applied scientists, and managers working on AI-powered features across the Datadog platform - Set technical vision and strategy for your area in partnership with Product - Ship AI products end-to-end, from data pipelines and model training through evaluation, deployment, and production operations - Coach and develop senior engineers and managers, building a culture of high performance, psychological safety, and clear feedback - Drive collaboration across Applied AI, product, and partner engineering teams to deliver on Datadog's AI priorities - Build evaluation and quality practices for AI systems, offline benchmarks, online metrics, and continuous improvement loops - Own operational excellence for your teams' systems: reliability, on-call, incident response, and technical quality - Hire and plan for organizational growth as the AI group scales - Help shape Datadog's broader AI roadmap and promote best practices in ML engineering and career development across the organization Who You Are: - An experienced technical leader with a strong background in AI, machine learning, or data science - Proven track record building and shipping ML or AI-powered products in production - Experience leading and mentoring multiple teams, including senior engineers and engineering managers - Deep technical expertise in one or more areas: large language models, agentic systems, anomaly detection, time-series modeling, NLP, retrieval-augmented generation, or ML infrastructure - Comfortable partnering with Product to set vision and strategy, and turning ambiguous problems into clear plans - A strong people manager who can attract, develop, and retain top AI and engineering talent - BS/MS/PhD in Machine Learning, Computer Science, Engineering, or related field, or equivalent professional experience Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you're passionate about technology and want to grow your skills, we encourage you to apply. Benefits and Growth:<

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Manager I, Engineering - Applied AI - Natural Lang...

Negotiable

Applied AI is where Datadog's ambitious AI bets get built and shipped ( Bits Chat , updog ). We sit at the intersection of research and product: turning promising capabilities from Datadog AI Research lab and the research community into production systems that reach real customers. The team builds the foundations for agentic systems capable of operating at scale in complex production environments. Current bets span agents that run autonomously at scale, context and memory layers that make those agents more intelligent over time, and tools that help customers build and validate AI-native services in production. The mandate is to move fast from idea to customer impact, and when a product finds its footing, to set it up for growth. As an Engineering Manager I in Applied AI, you will lead a team of engineers and applied scientists working on one of these challenges. You will define technical direction, run short feedback loops, make deliberate decisions about what to pursue or stop, and work closely with product managers, research teams, and cross-functional partners to ship AI capabilities that matter. At Datadog, we place value in our office culture, the relationships and collaboration it builds and the creativity it brings. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You'll Do - Lead and develop a team of engineers and applied scientists focused on building the foundations for agents operating at scale - Work closely with product managers, research teams, and cross-functional partners to shape the team's bets from initial framing through to broader adoption, with a clear definition of success criteria at each stage - Own end-to-end delivery of high-quality AI systems, from early research exploration to production-grade reliability, with high standards for operational excellence, system reliability, and technical quality - Navigate the unique challenges of shipping AI-powered products: balancing quality, latency, cost, and safety considerations. Drive evaluation and iteration practices for AI systems: define the quality bar and guide the team in building the offline and online evaluation pipelines needed to measure quality and detect drift - Contribute to cross-team collaboration and knowledge sharing across the broader AI organization - Support career growth for engineers through coaching, feedback, and fostering a culture of experimentation, innovation, and learning. Participate in hiring and help shape the future team as the organization grows Who You Are - A people-focused manager with experience leading and mentoring engineers, able to develop strong engineering talent in a fast-moving domain - A technical leader with deep expertise in one or more areas of AI or machine learning: large language models, retrieval-augmented generation (RAG), semantic search, agentic systems, deep learning, or NLP - Well-versed in evaluation methodologies for AI systems, both offline benchmarks and online metrics - A strong product instinct: able to anchor early-stage work in concrete customer problems, define success criteria before writing code, and actively contribute to shaping product direction alongside product and research partners - Experience taking AI products from 0 to 1 is strongly valued: able to bring structure to early-st

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Staff Machine Learning Engineer - League of Legend...

Negotiable

At Riot, we are investing in League of Legends to grow the game for generations to come. As player needs become more varied and our experiences become more dynamic, machine learning is an increasingly important part of how we help players discover the right experiences, make better decisions in and around the game, and find fair, compelling matches. As a Staff Machine Learning Engineer embedded into League of Legends, you will build applied machine learning systems that directly improve player experience. You will work across player and product problems through data, modeling, experimentation, launch, and iteration, partnering closely with League product, design, Insights, game engineering, and service engineering teams. Your work could span across personalized player experiences, in-game systems, and matchmaking. You will report to the Senior Manager, ML Engineering in Tech Foundations while operating as a deeply embedded technical partner to the League team. You will also help strengthen craft standards, knowledge sharing, and technical quality across Riot’s growing ML engineering discipline. This role will be located at our Los Angeles headquarters. Responsibilities: - Own end-to-end ML solutions for player-facing problems across personalization, game systems, and matchmaking, from problem framing through production launch and ongoing iteration. - Set technical direction for a League ML domain and create reusable modeling, evaluation, and operating patterns that raise the bar beyond your immediate team. - Build models, recommenders, ranking systems, and decision logic that help players discover the right champions, builds, modes, content, and return paths based on their needs and context. - Develop ML approaches that improve in-game systems and matchmaking quality, balancing player experience, fairness, reliability, and operational constraints. - Partner closely with product managers, designers, analysts, and engineers to shape ambiguous opportunities into clear technical plans and shipped player-facing features. - Translate gameplay, behavioral, and product telemetry into reliable signals and evaluation frameworks. - Design and run experiments to evaluate model quality, player impact, and system tradeoffs. - Work directly with game and service engineers to integrate models into League systems and services, including helping define instrumentation and telemetry when needed. - Operate independently across multiple partner groups, driving multi-month work with limited day-to-day oversight. - Contribute to the ML engineering community at Riot through peer reviews, documentation, craft standards, and shared learnings. - Help establish robust monitoring, observability, and support practices for live ML systems as they scale. Required Qualifications: - Bachelor’s degree or higher in Computer Science, Machine Learning, Statistics, or a related quantitative field, or equivalent practical experience. - 6+ years of experience delivering ML systems in production, including 3+ years in applied modeling or ML research roles. - Evidence that your modeling choices have been adopted beyond your immediate team — whether through reusable patterns, shared architectures, or influence on how others approach problems. - History of working with complex or unconventional data sources where off-the-shelf feature engineering doesn’t apply. - Experience in production environments with interacting models, feedback loops, or systems where model behavior has downstream consequence

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Senior Engineering Manager, AI Product (Thunderbol...

Negotiable

Why Thunderbird? Thunderbird is one of the world’s most trusted open-source email applications, empowering more than 20 million people globally. At MZLA, the team behind Thunderbird, we build privacy-respecting communication and productivity tools that help people manage their digital lives while staying in control of their data. We are open source by design. Our products are developed transparently and in collaboration with a global community of contributors, and that same spirit shapes how we work: collaboratively, inclusively, and with a shared commitment to putting users first. We are a small but growing company of 60+ people distributed across seven countries. As Thunderbird evolves beyond a single desktop application, we are expanding across desktop, mobile, paid services, and new product experiences that help people and organizations work more effectively without giving up control to big tech ecosystems. Our revenue model combines user donations, which help keep Thunderbird’s apps freely available, with paid services that cover the costs of hosted offerings while supporting long-term sustainability and continued innovation. A note about MZLA and Mozilla: MZLA Technologies Corporation is the nonprofit-owned company behind Thunderbird and part of the Mozilla family. MZLA is separate from Mozilla Corporation and has its own compensation programs, benefits, and employment policies. To learn more, visit www.thunderbird.net and www.thunderbolt.io. The opportunity Thunderbolt is an open-source, cross-platform AI product initiative from the team behind Thunderbird. It is being built around a clear principle: people and organizations should be able to use AI while staying in control of their data, infrastructure, model choices, and long-term options. Thunderbolt is designed to support flexible deployment models, integrations with AI tools and workflows, and use cases across desktop, web, and mobile. We are looking for a Senior Engineering Manager to lead engineering execution, people management, and operating practices for Thunderbolt as it moves from R&D incubation into a more mature product and enterprise development phase . This role will help the team define what production-ready means at this stage: stronger release discipline, clearer ownership, higher user-facing product quality, stronger engineering practices, and a more scalable operating model. This is a hands-on technical management role . The Senior Engineering Manager will manage a senior engineering team, stay closely engaged with the codebase and technical execution , coordinate work across employees, contractors, and technical partners, and help the team deliver a reliable, enterprise-ready open-source AI product. The right person will bring strong people management skill

Senior Programmer (Combat, Physics, AI) at Finitude GmbH. German games industry role. Company category: Developer. Job category: Tech / Programming. Job type: Full-Time. Added: 11.07.2026.

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Senior Machine Learning Engineer, AI Generation En...

Negotiable

ABOUT SANDBOXAQ SandboxAQ is a high-growth company delivering AI solutions that address some of the world's greatest challenges. The company’s Large Quantitative Models (LQMs) power advances in life sciences, financial services, navigation, cybersecurity, and other sectors. We are a global team that is tech-focused and includes experts in AI, chemistry, cybersecurity, physics, mathematics, medicine, engineering, and other specialties. The company emerged from Alphabet Inc. as an independent, growth capital-backed company in 2022, funded by leading investors and supported by a braintrust of industry leaders. At SandboxAQ, we’ve cultivated an environment that encourages creativity, collaboration, and impact. By investing deeply in our people, we’re building a thriving, global workforce poised to tackle the world's epic challenges. Join us to advance your career in pursuit of an inspiring mission, in a community of like-minded people who value entrepreneurialism, ownership, and transformative impact. THE OPPORTUNITY SandboxAQ's AI Generation Engine (SAIGE) team is seeking a highly accomplished Machine Learning Engineer to take ownership of the end-to-end ML lifecycle, from initial data exploration and model development to scalable production deployment. This role is central to designing and rapidly building AI-first products that incorporate Large Quantitative Models (LQMs) and sophisticated agentic frameworks. We are looking for a hands-on engineer who is passionate about owning the entire lifecycle of model development. This requires significant industry experience in bringing machine learning models from conception and experimentation to production and deployment in a robust, scalable manner, including (but not limited to): Data Acquisition and Curation, Infrastructure, Pre-Training, Evaluations, and Fine-Tuning. This person will be one of the founding engineers to join the SAIGE team and will be the bridge between cutting-edge AI concepts and functional, real-world MVPs. As a Machine Learning Engineer on the SAIGE team, your primary goal will be to rapidly iterate on different potential solutions to build and evaluate new models, focusing on speed and tangible outcomes. You'll be part of a diverse team consisting of software engineers, ML experts, products managers and user experience researchers, where they will play a key role in efficient and effective enablement of the cutting-edge technologies being developed at SandboxAQ. KEY RESPONSIBILITIES - Design, construct, and manage robust data pipelines for the training, validation, and continuous retraining of Large Quantitative Models (LQMs) and agentic frameworks. - Develop, implement, and rigorously test novel ML models and algorithms, defining appropriate metrics to ensure model performance aligns with high-level product objectives. - Contribute to the efforts in cleaning, transforming, and engineering features from complex and large-scale datasets to optimize LQM performance and predictive accuracy. - Conduct deep analysis of model behavior, performance, and failure modes, tuning hyper-parameters and optimizing model architecture for efficiency, speed, and accuracy in a production context. - Collaborate closely with AI researchers, product managers, and SWEs to translate high-level business objectives into actionable ML development and deployment roadmaps. - Champion and enforce exceptional engineering standards for code quality, system efficiency, and security in a prototyping environment. ESSENTIAL SKILLS & EXPERIENCE - BS in Software Engineering, Computer Science, or equivalent field of study - 5+ years of postgraduate experience in software development - Experience developing highly-available, performant, scalable ML systems, including large-scale data processing pipelines. - Strong expertise in Python (including the ML stack: PyTorch, TensorFlow, JAX, NumPy, Pandas) - Long, successful history of driving the full ML lifecycle: from initial data exploration and hypothe

E

Sales Development - Nordics

Negotiable

ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $11B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. ABOUT THE ROLE Our Sales Development team play a crucial role in building an effective outbound sales strategy, whilst working closely with the Account Executives. We don’t just sell a product or custom-level solutions; we are partnering with enterprises to help them generate new experiences and monetisation opportunities at scale with our breakthrough voice technology. In this role you will: - Conduct research to identify potential leads and prospects within the target market - Engage in outbound activities such as cold calling, emailing, and social media outreach to initiate contact with potential customers - Implement personalized and effective outreach campaigns to maximize lead conversion. - Collaborate closely with the Account Executive to exchange insights on prospect feedback, objections, and market trends - Continuously refine and adjust outreach strategies based on the feedback loop - Monitor and report key performance indicators (KPIs) related to outbound sales activities, including conversion rates, lead quality, and outreach effectiveness - Collaborate with the sales leadership to analyze data and optimize strategies for better results REQUIREMENTS - 2–3+ years of outbound B2B sales experience, with a strong track record of securing net-new business meetings - Proven ability to build and qualify opportunity-sized lead lists in new markets and verti

S

Support Specialist

Negotiable

This role begins at Tier 0, where agents ramp up to Tier 1 readiness over their first few weeks. The Tier 0 Support Agent independently handles a broad range of contributor support issues, including moderately complex and nuanced cases requiring sound judgment, investigation, and clear communication. This role works cross-functionally to ensure contributors receive accurate, timely, and thoughtful support while helping identify opportunities to improve workflows and documentation. This role is well-suited for experienced support professionals who are comfortable operating autonomously and navigating ambiguity in a fast-paced environment. You Will: - Resolve routine and moderately complex contributor inquiries across email and chat support channels using established workflows and best judgment. - Communicate clearly, empathetically, and professionally. - Document investigations, actions taken, and resolutions thoroughly in Zendesk or equivalent systems. - Identify issues outside the tier’s scope and escalate with clear context and documentation. - Contribute feedback on workflows, macros, or documentation to improve efficiency and contributor experience. - Stay current on relevant process and product updates through the provided resources. Ideally You'd Have: - Prior experience in high-volume customer support, platform support, or similar. - Experience working remotely, with demonstrated ability to manage work independently and prioritize tasks without direct supervision. - Strong written and verbal English communication skills, with the ability to communicate clearly and professionally. - Familiarity with customer service SaaS tools, Slack, and Google Workspace. Working Model & Tools: - This is an independent contractor role, responsible for providing agreed-upon services and deliverables for an estimated six-month term. Continued engagement or potential conversion to full-time employment may be considered at the company’s discretion, based on performance and business needs. - Company equipment will be provided during the engagement. - Collaborates asynchronously with internal teams as needed. PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inc

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Manager, Web Engineering

Negotiable

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We're hiring an Engineering Manager to lead the team that builds and runs anthropic.com and claude.com, brand web surfaces where most of the world meets Claude and Anthropic for the first time. They carry our research, product launches, policy work, and brand, and they ship at the pace of a fast-moving company. You'll manage a small, senior team of web engineers, owning the full stack behind our marketing web: CMS architecture, the publishing pipeline, the design system in code, and the campaign and launch experiences tied to model and product releases. This role sits inside Brand Creative and partners closely with design, editorial, marketing, and product growth engineering. We want a player-coach: comfortable setting technical direction without an existing playbook, staying close to the code and the launches, and building the tooling that lets designers and editors publish without an engineer in the loop. Responsibilities - Manage and grow the team: coach, hire, and set the bar for craft and reliability - Own the technical roadmap for anthropic.com and claude.com: CMS architecture, publishing workflow, performance, SEO health, localization, the production design system, deploy pipeline, on-call, and incident response - Run launch engineering for model, product, and campaign moments, shipping high-quality pages on tight, shifting timelines without heroics - Build the brand tooling layer: internal tools, integrations, and Claude-in-the-loop workflows that let designers, writers, and marketers publish safely without engineering as a bottleneck - Partner with design and editorial on creative technology, data visualizations, interactive explainers, campaign experiences, that need real engineering, not a template - Align web engineering work with Marketing, Product, Comms, and core Engineering, and say no to what doesn't move brand and business goals You may be a good fit if you have - 10+ years in software engineering, 5+ managing engineers, with that time spent as an engineering manager inside a marketing, brand, or design engineering organization specifically, not just a product engineering one - Owned a high-traffic marketing or brand web surface end to end: CMS, frontend, infrastructure, and the publishing workflow around it - Strong frontend depth yourself, TypeScript, React, modern CSS, a modern headless CMS, and a real preference for staying close to the code - Built tooling that made non-engineers faster and safer, with a concrete story of what changed - Shipped under real launch pressure with cross-functional partners, without dropping the quality bar - Comfortable operating at the seam between Design, Marketing, and Engineering - Deep interest in AI and excitement about putting Claude into the build and publish loop itself, not just on the page Strong candidates may also have - Held a Head of Web Engineering or equivalent platform lead title at a product company - Built localization and multi region web infrastructure - Come from a company where brand and product web sat close together: design

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Principal Engineer, AI Platform

Negotiable

WHAT MAKES US EPIC? At the core of Epic’s success are talented, passionate people. Epic prides itself on creating a collaborative, welcoming, and creative environment. Whether it’s building award-winning games or crafting engine technology that enables others to make visually stunning interactive experiences, we’re always innovating. Being Epic means being a part of a team that continually strives to do right by our community and users. We’re constantly innovating to raise the bar of engine and game development. ONLINE INFRASTRUCTURE What We Do We enable Epic’s online services teams to build, deploy, and manage services that are used by more than half a billion players around the world. Our mission is to provide world class tools and platforms to improve the experience of our developers and make it easier, faster, and safer to build, operate, and scale their applications. We operate at massive scale as one of the largest cloud computing users in the world. What You'll Do Epic Games is the creator of Fortnite, Unreal Engine, and the Epic Games Store — a company that has shaped the way billions of people play, create, and connect. We build the foundational technology that powers some of the largest interactive experiences on the planet, and we give those tools to creators and developers around the world through open ecosystems. Behind the products is an engineering organization that operates at rare scale: real-time infrastructure for hundreds of millions of players, a game engine used across film, architecture, and automotive industries, and a platform ecosystem that lets indie developers ship games to every major device on Earth. Our AI Platform team is building the next layer of that infrastructure — an enterprise-grade stack of agentic AI systems that automates engineering workflows, accelerates developer productivity, and enables new kinds of collaboration across Epic's teams. We're not a research group and we're not deploying off-the-shelf tools. We're architecting and building production systems from the ground up, across six interconnected platforms: - AI Agent Orchestration — multi-tenant platform for team AI agents that live and collaborate in Slack channels, Source Control, etc. - EMA (Epic Managed Agents) — compute and workspace infrastructure for headless agent harness runs at scale - AI MCP Gateway — MCP OAuth gateway, plugin runtime, and governance layer for AI tool orchestration - Non Human Identity Management — agent identity, credential vault, and authorization for non-human workloads - Centralized AI Knowledge Base — org-wide memory plane with knowledge graph, deductive reasoning, and hierarchical summarization - Roost — cryptographically signed software distribution and the Claude Code plugin marketplace This is foundational work that will define how AI is used inside Epic for the next decade. The scale is real, the problems are hard, and the team is small enough that every engineer makes a decisive architectural impact. As a Principal Engineer on the AI Platform team, you'll own the technical direction of our agent infrastructure stack end to end. You'll set the architecture across the six platforms above, drive alignment between them, and personally solve the hardest distributed systems and security problems that emerge as the stack scales. You'll work across teams to ensure agent identity, tool governance, memory, and execution infrastructure are coherent, secure, and operable — and you'll mentor the engineers who build alongside you. This isn't a co

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Senior AI Engineer

Negotiable

Lovehoney Group is the world’s leading sexual wellbeing company, with the mission to elevate pleasure through innovative technologies, a data-driven approach, and foster creative and fresh perspectives on intimacy. We offer exciting brands with innovative, high-quality sex toys, lingerie, and accessories in a streamlined online shopping experience. At Lovehoney, we employ over 800 passionate and progressive individuals across 11 global offices, each person contributing a unique blend of talents to our diverse workforce. We are proud to be a company that thrives by doing things differently, challenging expectations and stereotypes while making a positive impact on our customers’ lives. Join us at Lovehoney, where pleasure combines with creativity, data, and innovation! We are currently looking for a Senior AI Engineer who will be integral to driving high-level performance across Lovehoney Group. Partnering directly with the Head of AI, your focus will be on developing AI Applications. In this role, you will combine your appreciation for Technology with your capacity for creative AI Solutions. You will develop skills crucial to advancing in a competitive, fast-paced retail sector, all within a company that prizes dedication and results. What you will do Design and Architect Advanced AI Solutions Design, development, and optimization of sophisticated LLM pipelines using advanced techniques including prompt engineering, chain-of-thought reasoning, context management, meta-prompting, and agentic system architectures. Drive research initiatives to prototype and integrate cutting-edge AI methodologies that enhance model performance for production use cases. Architect and implement RAG (Retrieval-Augmented Generation) systems to enable intelligent information management across organizational departments. Drive Process Automation and Efficiency Design and implement enterprise-grade automated workflows and AI agents using platforms such as ChatGPT Agents, n8n, or comparable workflow automation tools. Lead initiatives to streamline critical business processes through intelligent automation, delivering measurable efficiency gains and resource optimization. AI Product Development Own the complete product lifecycle from ideation through production deployment, ensuring rapid iteration while maintaining quality standards. Provide technical mentorship across cross-functional teams, demonstrating strong project ownership and stakeholder communication. Establish and maintain robust evaluation frameworks and reporting pipelines to ensure continuous system improvement What you should bring Technical Excellence Expert-level Python programming with extensive experience in ML frameworks (PyTorch, TensorFlow, LangChain, LlamaIndex, or similar) Proven track record of building and deploying production AI systems with demonstrable business impact Strong experience with data warehousing solutions and data lakes (BigQuery, Snowflake, Redshift, or comparable platforms) Proficiency in working with cloud storage solutions and data management systems AI-Enhanced Development Practices Advanced experience with AI-powered development environments (Cursor, GitHub Copilot, or similar tools) Demonstrated ability to leverage AI pair programming for accelerated, high-quality code delivery Track record of optimizing development workflows through intelligent automation Collaboration and Version Control Expert-level proficiency with modern version control systems and collaborative development practices Experience with Git-based platforms (GitHub, GitLab, Bitbucket, or similar) including advanced branching strategies, code review processes, and CI/CD pipeline management Ability to architect and maintain clean, well-documented repositories that support team collaboration Infrastructure and Tools Strong experience with containerization technologies (Docker, Kubernetes, or similar) Familiarity with data analytics and visualization platforms Experience with workflow automatio

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Subject Matter Expert

Negotiable

Subject Matter Expert Role Description Engagement Type: Part-time (Hourly) — Work as many or as few hours as you'd like, with the flexibility to set your own schedule based on your availability. Overview The Subject Matter Expert is a specialized role focused exclusively on quality evaluation and standards definition within assigned projects. This role is designed for subject-matter experts who provide high-value insights through audits, quality frameworks, and performance analysis. The Subject Matter Expert does not engage in contributor management, real-time support, or operational task coordination. Instead, the role centers on assessing output quality, identifying systemic issues, and recommending improvements to ensure high standards are consistently met. Key Responsibilities Quality Audits & Evaluation - Conduct structured audits of task outputs to evaluate accuracy, consistency, and adherence to project guidelines. - Apply domain expertise to assess nuanced or complex work requiring specialized knowledge. - Identify patterns of quality issues and flag systemic gaps impacting output standards. Quality Standards & Benchmarking - Define and refine quality benchmarks, scoring rubrics, and evaluation criteria based on project needs. - Contribute to the development of gold standards and reference materials for high-quality outputs. - Ensure quality frameworks reflect domain-specific rigor where applicable. Analysis & Insights - Analyze audit results to generate actionable insights on quality trends and performance gaps. - Provide structured reports with clear recommendations to improve overall output quality. - Partner with internal stakeholders to calibrate on quality expectations and scoring consistency. Process Improvement (Quality-Focused) - Recommend improvements to workflows, guidelines, and evaluation processes based on audit findings. - Support calibration efforts to ensure alignment across reviewers and quality stakeholders. - Contribute to continuous improvement initiatives strictly related to quality outcomes. Out of Scope (Role Boundaries) - No direct interaction with contributors (e.g., no office hours, Slack support, or real-time guidance). - No task assignment, queue management, or operational oversight. - No people management or performance management responsibilities. Qualifications - Deep domain expertise in a specialized field (e.g., medicine, law, engineering, etc.). - Strong analytical skills with the ability to evaluate complex outputs against defined standards. - Experience in quality assurance, auditing, or evaluation frameworks is preferred. - Ability to produce clear, structured, and actionable feedback. - High attention to detail and commitment to accuracy and consistency. Engagement Expectations - Hourly, project-based w

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Software Engineer, AI Product

Negotiable

Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! As Figma’s customer base continues to expand and diversify, and new technological advancements in AI and generative design emerge, the opportunity for AI experience engineering is greater than ever. You’ll collaborate closely with a cutting edge AI Research team and your work will help raise the ceiling of what’s possible for designers and lower the floor of who can design. We are seeking an accomplished and experienced AI Product Engineer who has built generative AI products to join our team and lead our AI efforts from inception to implementation. Join us in molding the future of AI at Figma! This is a full-time role that can be undertaken from one of our US hubs or remotely in the United States. What you'll do at Figma: - Lead the development of early-phase AI systems to enhance user experience and develop systems to measure and improve AI performance and relevance - Direct the future of AI at Figma in collaboration with cross-functional teams of innovative software engineers, product managers, and data scientists - Break down open-ended AI problems into engineering strategies utilizing machine learning, data analysis, and experimental design - Provide mentorship and promote best practices in data and AI while cultivating a collaborative and inclusive team culture - Contribute to the growth of the team by improving the hiring process and recruiting outstanding AI talent We’d love to hear from you if you have: - 5+ years of experience of Software Engineering, with 1 or more years of developing generative AI products - Comfort in prototyping and pathfinding new opportunities that led to successful 0→1 projects - Proven experience implementing the full lifecycle of an early-phase AI development, from ideating on which models to use through productionizing and maintaining them - Experience in developing deep product and business knowledge to connect abstract modeling and analysis tasks with business value While it’s not required, it’s an added plus if you also have: - Experience using AI-assisted development tools (e.g., GitHub Copilot, ChatGPT, Claude) to write, debug, and optimize code - Demonstrated expertise in AI indexing, retrieval systems, personalization, and/or natural language processing - Proven track record of planning a multi-year roadmap in which shorter-term projects ladder up to the long-term vision - A relevant advanced degree (Masters or PhD) in Machine Learning, Artificial Intelligence, Statistics, or a related field - A growth mindset and experience investing in the learning, development, belonging, and impact of your peers, ex. mentoring/aligning senior engineers across organizations At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about

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Director, Revenue Accounting

Negotiable

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is seeking a seasoned Revenue Accounting professional to join our growing Accounting Team. In this position, you will drive revenue accounting operations, accounts receivable accounting, and financial reporting processes. You will play a critical role in ensuring accurate revenue recognition, managing complex AR processes including CECL compliance, and enhancing our month-end close operations. The ideal candidate brings deep technical accounting expertise, leadership capabilities, and thrives in our fast-paced, innovative environment. Responsibilities - Manage daily revenue accounting operations, including high-volume transaction processing, and ensure accurate revenue recognition in compliance with ASC 606 - Own the month-end revenue close process by reviewing and approving revenue-related account reconciliations and journal entries for revenue, deferred revenue, and unbilled receivables - Manage comprehensive accounts receivable accounting functions, including AR reconciliations, aging analysis, and accurate recording of customer receivables - Lead quarterly CECL aging analysis to ensure consistent application of ASC 326 and work with AR & Collections Lead to develop key AR metrics for management reporting - Perform regular month-end close flux analysis, identifying and explaining significant variances in revenue and accounts receivable balances to ensure financial integrity and provide insights for management decision-making - Collaborate cross-functionally with Finance Operations, Finance Strategy, Billing Support, and business partners on strategic processes and programs - Support revenue accounting system initiatives, including design, implementation, testing, and optimization - Serve as subject matter expert for revenue and AR accounting questions across the organization - Lead audit coordination and serve as primary contact for external auditors during year-end audit - Maintain comprehensive documentation for all revenue and AR processes You may be a good fit if you have - Bachelor's degree in accounting or finance (or equivalent experience) - 10+ years of accounting experience, with at least 3 years in public accounting - Strong knowledge of ASC 606 Revenue from Contracts with Customers & ASC 326 Credit Impairment - Experience with accounts receivable accounting and financial reporting - Experience in collaborating across departments to influence change - Attention to detail, excellent communication skills, and strong sense of teamwork - Ability to work independently and prioritize in a fast-paced environment - Strong sense of ownership and independence, with proven ability to identify issues, propose solutions, and drive initiatives to completion with minimal supervision - Proven experience in managing and mentoring accounting professionals, with the potential to lead team members (both contractors and FTEs) as our team continues to grow Strong can

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Engineering Manager, Agent Runtime Platform

Negotiable

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role The Agent Runtime Platform provisions and runs the compute and runtimes behind Anthropic's internal agents: secure, credential-managed environments where agents do real engineering and knowledge work at scale. As an Engineering Manager on these teams, you will be responsible for ensuring you and your team are identifying and removing friction and blockers to productivity, experimenting at the frontier, and building security and quality into agents. You also will help bring clarity, focus, and context to your teams in a fast-paced, dynamic environment. Responsibilities - Own the technical strategy and roadmap, translating goals into concrete execution - Manage day-to-day execution of the team's work - Prioritize the team’s work and manage projects in a highly dynamic, fast-paced environment - Stay hands-on: build and ship the runtime platform and tooling - Define what secure agent execution means at scale, partnering with security teams on sandboxing, isolation, and credential management - Build primitives that are composable and reusable across various agents - Own infrastructure scalability and reliability: capacity planning across cloud providers, right-sizing, and operational excellence - Collaborate cross-team, supporting internal teams bringing up their agents You May Be a Good Fit If You: - Have 10+ years building and operating large-scale platforms or distributed systems - Have 1+ years of management experience in a technical environment, particularly in building platforms or agents at scale - Are deeply interested in the potential transformative effects of advanced AI systems and agents, and are committed to ensuring their safe deployment - Have experience with container or VM orchestration at scale - Are obsessed with productivity and transforming how we work - Have excellent communication skills and enjoy supporting internal partners Strong Candidates May Also Have: - Engineering management experience on top of a strong IC track record - Experience with harness engineering - Experience with building security-sensitive infrastructure: sandboxing, workload isolation, credential management, or access control - Experience with capacity planning and utilization across multiple cloud providers - Experience working with researchers, engineers and other functional roles Deadline to apply: None. Applications will be reviewed on a rolling basis. The annual compensation range for this role is listed bel

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Senior Manager, Compute Infrastructure Procurement...

Negotiable

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role We're looking for a Lease Admin to own the operational layer of Anthropic's Compute Infrastructure lease portfolio. That means data centers and co-location facilities, GPU and TPU equipment finance leases. This role sits in Infrastructure Compute Procurement and partners closely with the Infrastructure Accounting team on anything that touches the financials. Decision rights on renewals and commercial terms stay with Infra and Workplace. Your job is to make sure the data is clean, the dates are tracked, the bills are right, and the payments go out on time. Key Responsibilities - Lease abstraction and system data hygiene ingest new leases and amendments into the LMS with clean, complete data; maintain the record of truth across all portfolio categories - Critical-date tracking and routing monitor renewal windows, option deadlines, and notice periods; flag and route decisions to the right stakeholders (Infra / Workplace) with enough lead time to act - Landlord billing audits review landlord invoices against lease terms, dispute errors, and reconcile CAM charges across the co-location and real estate portfolio - Rent payment processing and AP coding ensure rent and lease payments are processed accurately and on time; maintain correct GL coding at the source - Landlord billing ops and payment escalations manage payment workflows and escalate commercial disputes to the appropriate Infra or Workplace relationship owner - Lease system data stewardship and Workday integration keep the LMS in sync with Workday/ERP - Support the accounting team's close cycle with clean subledger data and timely inputs Minimum qualifications - Experience implementing or operating an LMS (CoStar, Workday Lease, or equivalent) - A sharp eye for billing errors you've caught CAM discrepancies and wrong invoice amounts and know how to back them up with lease language - Enough familiarity with ASC 842 to support an accounting team, flag data problems upstream, and maintain a defensible subledger - AP process fluency - you understand how payments, POs, and GL coding work and can partner with a Finance Systems team to fix upstream data - Comfort working in a fast-moving, technical environment - our landlords are hyperscalers and hardware vendors, not just office building owners - Prior work in a SOX-compliant environment with documented lease controls Preferred qualifications - 10+ years of lease administration experience, spanning data center/colo, equipment, or multi-category real estate portfolios - Direct experience with data center or colo lease operations - Workday Financials / Workday Lease experience - AI first; creativity with automation, reporting, and efficiency with AI tools (preferably Claude) - Experience in a high-growth tech company where the portfolio grew faster than the process - Familiarity with AI/ML infrastructure you know what a GPU cluster is and why the lease terms matter</li

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Staff Machine Learning Engineer, ML Efficiency

Negotiable

Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 126 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . Location: Reddit has a flexible first workforce. Don't live near our office? No worries: you can work remotely from anywhere in the UK or the Netherlands. About the Team The ML Efficiency team builds the infrastructure, tooling, and optimization systems that enable machine learning engineers and researchers to train, evaluate, deploy, and operate models efficiently at scale. We focus on improving developer productivity, reducing infrastructure costs, increasing hardware utilization, and accelerating experimentation across the company’s ML ecosystem. Responsibilities - Design and build systems that improve the efficiency of ML training and inference workloads. - Develop tooling that helps ML engineers debug, profile, optimize, and monitor model performance. - Improve GPU and general resource utilization through scheduling, resource management, caching, and workload optimization. - Partner with ML researchers and product teams to identify bottlenecks and drive performance improvements. - Build benchmarking frameworks and performance dashboards for training and serving systems. - Optimize distributed training infrastructure, data pipelines, and model serving architectures. - Lead cross-functional initiatives that improve the productivity of Reddit ML engineers. - Drive technical strategy for ML platform scalability, reliability, and cost efficiency. Qualifications Required - BS, MS, or PhD in Computer Science or a related field. - 5+ years of software engineering experience. - Strong proficiency in Python - Profiency in at least one systems language (Go, C++, Rust, or Java) preferred - Experience building distributed systems at scale. - Experience with machine learning infrastructure, training systems, or model serving platforms. - Deep understanding of performance engineering and systems optimization. - Strong debugging and profiling skills. Preferred - Experience with large-scale recommendation, ranking, generative AI, or foundation model systems. - Experience with distributed training frameworks such as PyTorch Distributed, Ray, Tensorflow, Spark - Familiarity with GPU architectures and performan

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Product Designer, Global Public Sector

Negotiable

Do you thrive in the ambiguity and possibility of early stage product design? We're looking for a bilingual Product Designer to help build intuitive, AI-driven experiences for government and enterprise clients across the Middle East. At Scale AI, we're building the future of AI through high-quality data and world-class design. Our products power critical decisions for businesses and governments worldwide. You will: - Lead 0-1 Design: Own the entire design process — from raw concept to final implementation — working directly with PMs and engineers to ship impactful products quickly - Develop Concepts: Extract key insights from PM and client feedback and translate them into compelling concepts - Manage Expectations: Respond effectively to multiple stakeholders and align them around a clear design direction - Communicate and Prototype Visually: Deliver polished verbal communication and visual storytelling using AI tools like Cursor and Claude Design to bring concepts to life - Design with Data: Make design decisions informed by research, data, and user insights You're a great fit if you: - Are fluent in Arabic and English (a hard requirement for this role) - Excel at navigating ambiguity in early stage products - Have a mix of startup and established company experience; at least one role at a well-respected company with a strong product development culture - Have experience in B2B products for government or enterprise clients - Want your work to shape the role of AI in modern business applications - Have prior work experience in the GCC (Bahrain, Kuwait, Oman, Qatar, Saudi Arabia, UAE) - Are based in the GCC or open to relocating - Have hands-on experience with AI-powered design platforms such as Cursor and Claude - Have a degree in HCI, Computer Science, or Graphic Design - Have a strong portfolio demonstrating polish, professional presentation, and clear visual storytelling to broad audiences Nice to haves: - Experience at notable AI companies - Technical background For those applying based in Qatar: Residency and employment in Qatar requires certain permissions (visa and permits) issued by the Qatari authorities. As part of the application process, candidates will be asked to provide personal information, including residency status and nationality, which is required for visa processing. This information is collected solely for immigration compliance purposes and will be not used as a criterion in any hiring decision unless such use is lawfully permitted. Visa issuance is at the discretion of the Qatari authorities. If you are successful in your application, you will be required to provide the documentation requested by Scale and the authorities to obtain the necessary permissions for you to live and work in Qatar, and Scale will work with successful candidates to support the visa application process. PLEASE NOTE: Our policy requires a 90-day waiting period before recon

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Staff Site Reliability Engineer, Core AI Infrastru...

Negotiable

Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase . You'll join a high-performing team of engineers driving AI transformation at Coinbase as a Staff Site Reliability Engineer on the IT Operations team. This team builds and scales the infrastructure powering Coinbase's AI products, with direct exposure to senior leadership in a fast-paced, incubator-style environment. You'll own the reliability and automation of critical AI infrastructure, ensuring our systems are resilient, observable, and secure at scale. What you’ll be doing (ie. job duties) : - Own the reliability, monitoring, and incident response lifecycle for AI infrastructure services, including on-call support for AWS deployment pipelines, root cause analysis, and blameless retros. - Build automation and tooling to streamline operational IT workflows, eliminate manual tasks, and improve deployment velocity across CI/CD frameworks and Kubernetes environments. - Partner with the Coinbase Infrastructure team to extend CI/CD frameworks supporting IT services and enterprise network platforms, and with Security and Compliance to integrate surveillance tooling into deployment pipelines. - Strengthen observability and documentation standards across IT engineering by defining metrics, implementing monitoring solutions, and maintaining technical documentation that sets a standard of excellence. - Develop full-stack applications that power internal AI products and infrastructure with Go or Python. What we look for in you (ie. job requirements): - 8+ years of experience automating and supporting cloud infrastructure (AWS) and network environments, with hands-on use of infrastructure-as-code tools (Terraform, Ansible, Chef, Puppet, or Salt). - Proven experience deploying, managing, and troubleshooting containerized workloads using Docker and Kubernetes in production environments. - Proficiency in at least one scripting or programming language (Python, Bash, Ruby, or Go) and version control workflows using Git-based CI/CD pipelines. - Track record of leading incident response in environments with strict SLAs, including root cause analysis, blameless retros, and measurable reliability improvements. - Utilizes generative AI responsibly, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality. Nice to haves: - Expertise with linux, bash, ruby, python and/or go - Expertise automating EC2 or containers deployment with terraform - Strong network security fundamentals - Experience managing and leveraging log aggregation - Experience working in a highly regulated environment</

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Deployment Strategist Lead - Brazil

Negotiable

ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $11B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. ABOUT THE ROLE As a Deployment Strategist Lead, you'll be fully responsible for opening up a new market for ElevenLabs, and building a team to make it happen. This is a senior position in which you’ll operate as if a co-founder, working alongside an experienced sales leader, of an effective startup moving from 0 -> 1 within our broader org, aiming to deploy our voice AI technology at the most Strategic customers in the market against their most challenging problems. All the while you’ll be able to leverage support from the rest of ElevenLabs to accelerate. You will be responsible for hiring the team you need, winning the first customers in the market and ensuring that our product generates impact for them. No two days are the same, but you should expect to: - Meet with strategic customers to understand their critical audio and voice AI needs and locate their biggest pain points. - Build and lead a team of forward deployed engineers within the region. - Identify relevant use cases through deep engagement with customer problems and workflows, and work with Engineers to implement our voice and audio AI technology into innovative solutions. - Design and architect bespoke integrations for customers, ensuring our technology fits seamlessly into their products and operations. - Guide customers on best practices for implementing our voice and audio AI models to maximiz

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Commercial Counsel, GTM

Negotiable

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We're looking for a Commercial Counsel, GTM to join our legal team at the forefront of shaping how cutting-edge AI technology reaches users, researchers, and enterprises worldwide. You'll work alongside experienced colleagues who operate as true strategic partners—moving fast, thinking creatively, and working collaboratively to support deals that matter. In this role, you'll focus heavily on supporting our Go-to-Market teams, handling enterprise agreements and customer negotiations while gaining exposure to a range of commercial work including research collaborations, product partnerships, and procurement. Additionally, you’ll have opportunities to work on cutting-edge AI safety and research agreements, including threat-sharing frameworks with leading security organizations and collaborations that shape and advance responsible AI development standards. This is an excellent opportunity for a motivated attorney to develop deep expertise in their commercial transactions career while contributing directly to responsible AI development. Responsibilities: - Draft, review, and negotiate commercial agreements, with a primary focus on GTM/Sales transactions including enterprise customer contracts - Partner closely with Sales and Go-to-Market teams to support deal velocity and provide practical legal guidance - Help build and maintain our commercial legal infrastructure, including contract templates, playbooks, and process improvements - Potentially partner with Policy, Safeguards, and Research teams on novel AI governance initiatives - Identify and escalate legal risks appropriately while supporting business momentum - Stay current on legal developments affecting AI technologies You might be a good fit if you have: - A JD and active membership in at least one U.S. state bar (California preferred) - At least 3-5 years of legal experience, with exposure to commercial contracts, SaaS agreements, or technology transactions - Clear communication skills and comfort translating legal concepts for non-lawyer audiences - A low-ego, collaborative approach to working with colleagues and external partners - Curiosity about AI technology, AI Policy, and commitment to responsible AI development - Experience navigating multi-stakeholder agreements involving technical and policy considerations - Comfort in fast-paced environments with shifting priorities - A "doer" attitude—willingness to roll up your sleeves and pitch in where needed Role-specific policy: For this role, we expect all staff to be able to work from our San Francisco, Seattle or New York offices at least 3 days a week, though we encourage you to apply even if you might need some flexibility for an interim period of time. The annual compensation range for this role is listed below. For sales roles, the range provided is the rol