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About UsAt Hiya, we’re revolutionizing voice communication. Our mission is to  modernize voice with intelligence for security and productivitySince 2015, when we introduced the first mobile caller ID and spam-blocking apps, we’ve been at the forefront of voice intelligence innovation. In 2016, we partnered with Samsung and AT&T to launch Hiya Protect, the first network-based spam-blocking solution. In 2019, we introduced Hiya Connect, a branded call SaaS platform that helps businesses reach more customers by phone.Today, our Voice Intelligence Platform supports over 500 million users globally. By using adaptive AI and audio intelligence, it delivers smarter, safer, and more productive voice calls across networks, apps, and devices.  Our network & solution partners have grown to include British Telecom, EE, Virgin Media O2, Ericsson, Rogers, Bell Canada, MasMovil, Telenor, FICO, Twilio, and more.About the PositionAI Engineers are responsible for developing and integrating AI solutions into Hiya’s products, focusing on rapid iteration, prompt engineering, and practical application. You'll fine-tune and optimize foundation models, craft sophisticated multi-agent systems, and invent novel solutions to power the next generation of voice intelligence.What You’ll DoIntegrate AI solutions into existing products and workflowsCollaborate with cross-functional teams to understand business requirements and translate them into technical solutionsConduct model evaluations, prompt engineering, and fine-tuning of large language models (LLMs)Implement and manage AI orchestration, including agent-based systemsParticipate in the design and implementation of AI-powered applications and interfacesHelp shape the technical direction and best practices for LLM application developmentStay at the forefront of AI research and incorporate state-of-the-art techniquesWhat You’ll Need to SucceedProficiency in programming languages such as Python, JavaScript, or TypeScriptExperience working with foundational model APIs and pre-trained open source modelsStrong understanding of machine learning workflows, including model evaluations and LLM fine-tuningFamiliarity with AI orchestration and agent-based systems and best practices (LangChain, AutoGen, n8n)Excellent problem-solving skills and the ability to work independently and collaboratively.Strong communication skills and the ability to translate technical concepts to non-technical stakeholdersThe person in this role must embody Hiya’s key values of Serving our customers, Doing rather than observing, Improving ourselves and our business, Owning and holding ourselves accountable for success, and Leading by showing up with a point of view, engaging in open discussion, listening respectfully to others opinions and committing to decisions. You will have a fast start if you have experience:Experience with cloud platforms such as AWS, Google Cloud, or AzureKnowledge of Kubernetes and containerization technologiesExperience with data science and ML engineeringFamiliarity with retrieval-augmented generation (RAG)The requirements listed in the job descriptions are guidelines. You don’t have to satisfy every requirement or meet every qualification listed. If your skills are transferable we would still love to hear from you.More DetailsThe salary range for this role is between $134,000-$262,000. When determining compensation, a number of factors will be considered: skills, experience, job scope, location, and competitive compensation market data.Start Date: ImmediatelyStatus: Full-time Type: HybridLocation: Seattle, WA Travel Requirements: Department: EngineeringReports to: VP of Engineering BenefitsEquity compensation401K program with 3% match through Fidelity InvestmentsSelf managed vacation plan 15 Paid holidays including Recharge Days100% covered medical, dental, and vision for the employee and 50% coverage for dependentsFlexible spending, health savings accounts and Pretax dependent day care savings planPaid parental leaveVoluntary Life and AD&D, and Accident insurance optionsEmployer-paid life insuranceEmployer-paid long-term disability coverage (in qualifying states)Donation Matching for a charity of your choice (up to $1,000/ year)$1,000/year reimbursement in Professional Development fundsThis position is based in Seattle, WA, USA.We are building a team with a variety of perspectives, identities, and professional experiences.  We evaluate great candidates through a business lens and we strongly believe that diversity and unique perspectives make our company stronger, more dynamic, and a great place to build a career.Our team has won various awards over the last 4 years from Built-in Seattle and Seattle Business Week to #86 on Deloitte Technology Fast 500 and Forbes #1 Startup Employer. Here at Hiya, we are a people-centric company focused on helping each and every one of our employees grow both personally and professionally. We feel that creating a team culture of support and empowerment to challenge the status quo results in an energized and passionate team that is continuously challenged and passionate about the work they are doing. You'll love working here if you are looking for an innovative challenge that is disrupting an industry. Come  join us! 

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🎨 OpusClip is the world's No.1 AI video agent, built for authenticity on social media.We envision a world where everyone can authentically share their story through video, with no expertise needed. Within just 18 months of our launch, over 10 million creators and businesses have used OpusClip to enhance their social presence. We have raised $50 million in total funding and are fortunate to have some of the most supportive investors, including SoftBank Vision Fund, DCM Ventures, Millennium New Horizons, Fellows Fund, AI Grant, Jason Lemkin (SaaStr), Samsung Next, GTMfund, Alumni Ventures, and many more. Check out our latest coverage by Business Insider featuring our product and funding milestones, and our recognition as one of The Information's 50 Most Promising Startups in 2024. Headquartered in Palo Alto, we are a team of 100 passionate and experienced AI enthusiasts and video experts, driven by our core values: Be a Champion Team Prioritize Ruthlessly Ship fast, Quality Follows Obsess over customers Be a part of this exciting journey with us!What We Are Looking for & You'll Achieve:We're hiring a Product Manager Intern to join our team. As an intern, you'll focus on leading user feedback collection and testing new product features. You'll collaborate with cross-functional teams, analyze data, and prepare core AI feature testing materials to drive product improvements. This is an exceptional opportunity to gain valuable hands-on experience in product management within the dynamic environment of innovative AI startup.Responsibilities You'll Embrace:Conduct user feedback collection through online surveys and interviews.Conduct tests for core AI product features and analyze results.Support product development and execution.Collaborate with teams for successful product launches.Gather input and feedback from stakeholders.Skills You'll Contribute:Able to use English as the working language.Detail-oriented with a focus on delivering quality results.Excellent communication skills.Experience with large language models prompting, specifically in the context of AI product management, is highly desirable.Adaptability and teamwork skills.EEOOpusClip is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristics. OpusClip considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Opus Clip is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures.

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About xAI xAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All engineers are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates.About the Role As Architect - Data Centers & Workplace, you will lead the strategic planning, design, and execution of facilities and infrastructure solutions for xAI's data centers and site builds. Drawing on expertise in complex, multi-stakeholder projects, you'll collaborate across engineering, procurement, construction, and business teams to deliver integrated, compliant designs that align with aggressive timelines and innovation goals. This position reports to the Facilities Leadership team and is an opportunity that requires travel to different locations and cross-site collaboration. Responsibilities Plan, design, and support the construction of advanced data centers and AI infrastructure, including high-performance computing facilities at new and existing sites. Collaborate with civil, structural, MEP, and fire protection disciplines, as well as procurement and construction teams, to develop integrated solutions optimized for scalability, efficiency, and reliability. Create Basis of Design documents and Request for Quotation (RFQ) packages for external consultants, architects, and vendors; respond to RFIs and iterate based on feedback. Conduct site visits and assessments to refine designs, incorporating existing site conditions, risk mitigation strategies, and delivery objectives for seamless project execution. Ensure compliance with local building codes, zoning, and environmental standards while providing technical guidance on architectural elements. Initiate, scope, design, estimate costs, and execute facility and infrastructure projects critical to AI operations, production ramps, and business continuity. Build and maintain strong cross-functional partnerships with internal stakeholders, including engineering leads, operations teams, and executive leadership, to align on project expectations and streamline workflows. Drive strategic workplace program planning and delivery, overseeing CAPEX/OPEX budgets, financial reporting, and space optimization for xAI’s workforce across multiple sites. Partner with real estate and leasing teams on site selection, due diligence, and lease negotiations for new facilities, contributing architectural insights to strategic expansion decisions. Lead global portfolio management for offices, labs, and data centers, including scenario planning for lease renewals, fit-outs, and adaptive reuse projects. Oversee external partners (architects, engineers, builders, vendors) to ensure design excellence, cost-effective procurement, and adherence to Master Service Agreements (MSAs). Required Qualifications Bachelor's degree in Architecture (10-year professional program preferred) from an accredited institution. Active Architectural licensure in at least one U.S. state (CA or NY licensure highly transferable); NCARB certification strongly preferred. LEED AP certification or equivalent in sustainable design. 15+ years of progressive experience in architectural design and project management, with direct hands-on involvement in data center development, site construction, and workplace planning in high-tech environments. Proven track record leading complex, multi-disciplinary projects in fast-scaling organizations (e.g., automotive, tech, or AI infrastructure). Preferred Qualifications Expertise in high-performance computing facilities, such as supercomputer deployments or AI-optimized data centers. Proficiency in design and collaboration tools: AutoCAD/Revit, SketchUp, Jira/Bluebeam, Adobe Creative Suite, Microsoft Office Suite. Experience delivering flagship projects for leading tech companies (e.g., HQ relocations, R&D labs, wellness centers with integrated data infrastructure). Strong background in global portfolio management, including lease scenario planning and cross-functional collaboration with IT, security, HR, and legal teams. Familiarity with agile project methodologies for rapid prototyping, site adaptations, and vendor negotiation xAI is an equal opportunity employer. California Consumer Privacy Act (CCPA) Notice

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About AirOpsToday thousands of leading brands and agencies use AirOps to win the battle for attention with content that both humans and agents love.We’re building the platform and profession that will empower a million marketers to become modern leaders — not spectators — as AI reshapes how brands reach their audiences.We’re backed by awesome investors, including Unusual Ventures, Wing VC, Founder Collective, XFund, Village Global, and Alt Capital, and we’re building a world-class team with in-person hubs in San Francisco, New York, and Montevideo, Uruguay.Job BriefAs Head of Revenue Operations & GTM Engineering, you’ll architect and scale the systems, processes, and team that power AirOps’ go-to-market engine. This is a strategic and hands-on role — ideal for a leader who can both design the frameworks that align marketing and sales, and personally build the infrastructure to make them run efficiently from day one. You’ll oversee revenue operations, sales development infrastructure, and GTM analytics, ensuring that our growth and sales teams operate with precision, speed, and visibility.Key Responsibilities 1. Strategy & AlignmentEstablish frameworks for target account segmentation, territory management, rules of engagement, and compensation design.Build alignment between marketing and sales through shared definitions, attribution logic, and campaign-to-pipeline workflows.Define the operational rhythm and dashboards that unify visibility across the full funnel.2. Core Revenue OperationsOwn the systems and workflows behind routing, scoring, and nurturing — from lead capture through opportunity creation.Automate lifecycle management using tools like HubSpot, Customer.io, and SmartLead to ensure timely follow-up and engagement.Maintain data integrity and enforce operational best practices across GTM systems.3. GTM EngineeringBuild the infrastructure that powers outbound and account-based programs — integrating Clay, Common Room, Phantombuster, Trigify, and Fibbler for signal tracking, enrichment, and personalization.Enable SDRs to work from a unified “single pane of glass” that surfaces the highest-value accounts and next-best actions.Partner with Growth and Sales to continuously optimize campaign logic, outreach workflows, and automation pipelines.4. Reporting & InsightsDevelop real-time analytics and dashboards for pipeline health, conversion velocity, and performance by segment.Identify operational bottlenecks and lead cross-functional projects to improve speed and conversion efficiency.Provide strategic recommendations to the VP of Sales and Head of Growth for quarterly planning and forecasting.5. Team Leadership & Stakeholder ManagementBuild and mentor a small but high-impact RevOps & GTM Engineering team.Collaborate closely with Sales, Marketing, and Product Growth leaders to ensure alignment on goals, data, and execution.Drive operational excellence and clarity across GTM squads.Qualifications6+ years in Revenue Operations, Sales/Marketing Ops, or Growth Engineering roles, with at least 2+ years in leadership.Deep technical experience with HubSpot, Clay, Lemlist, SmartLead, and related data automation or enrichment tools.Proven success building scalable GTM systems that align marketing, sales, and growth functions.Strong analytical mindset; comfortable building dashboards, writing queries, and making data-driven recommendations.Excellent cross-functional communication and stakeholder management skills.Hands-on builder who thrives in a fast-paced, high-growth environment.Curiosity and passion for how AI is transforming go-to-market systems and customer acquisition.Our Guiding PrinciplesExtreme OwnershipQualityCuriosity and PlayMake Our Customers HeroesRespectful CandorBenefitsEquity in a fast-growing startupCompetitive benefits package tailored to your locationFlexible time off policyGenerous parental leaveA fun-loving and (just a bit) nerdy team that loves to move fast!

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MetaviewMetaview is re-engineering hiring with AI at the core. Thousands of companies already use Metaview to accelerate their recruiting workflows, remove toil, and make hiring decisions with more precision.Our AI Assistant for Recruiting is used by over 3000 companies around the world, and already makes recruiting flows drastically more efficient. But efficiency is just the starting point: the data we're capturing will enable us to build the AI platform that recognizes talent better than any human ever could.Metaview was founded by Siadhal and Shahriar after their experiences scaling Uber and Palantir. We recently announced our $35m Series B, led by Google Ventures. Growing 5x YoY, our customers are raving fans of the product, and our innovation has been covered in Fortune, Forbes, TechCrunch, and The Times.The teamWe’re here to do the best work of our lives, and are immersed in our work.We optimize for rate-of-learning. Watch the clock, not the calendar.We’re direct and actively-transparent in how we communicate and share progress. This means we all have the context and information required to help each other excel.The roleTL;DR Be the bridge between Customers, Product, and Sales; helping turn insights into impact.Support AI adoption by guiding change management and workflow transformation.Play a foundational role in building out a new function at a category-defining AI startup.Shape your career by learning Engagement from the ground up at Metaview.We’re leading the way in building a new category of product and have successfully onboarded thousands of companies and tens of thousands of users already. With rapid expansion, we're looking for an Engagement Associate to help our customers transform their hiring workflows with AI, driving adoption, retention, and long-term impact.You’ll play a key role in guiding SMB and mid-market customers through change management, enabling AI adoption at scale, and surfacing insights that sharpen our product and go-to-market strategies.What you'll do:Onboard like a pro: Deliver high-impact onboarding for new SMB and mid-market customers, ensuring a smooth ramp and quick path to value.Drive product adoption at scale: Use data to proactively identify and engage customers, helping them unlock key features.Own account health: Track usage to detect risk, balancing higher-touch engagements with a scaled approach.Solve problems fast: Jump in to support users when issues arise, coordinating with technical teams as needed.Systematize what works: Help design and refine a scalable approach to Customer Success that supports thousands of users.Champion the customer voice: surface key trends and collaborate with Product and Sales to shape the roadmap and sharpen GTM messaging.You2+ years’ experience in a customer/stakeholder-facing role. This could be in Consultancy, Customer Success, Sales, RevOps, or similar.You get energised by meeting new people and spread that energy to them through your approach.A confident communicator. Our customers need to feel like they are embarking on a journey with a partner who will guide them through the AI revolution and explain how it will impact recruiting.A love for experimenting and trying new ideas without fear of iterating and failing.Our brand is intelligent, low-bs, authentic and deeply customer-oriented. As a champion for our brand, you’ll need to be these things too.Sharp, systematic, resilient, and motivated to win.Happy to travel to our San Francisco and London offices. We aim for one week per quarter in London, and 2 trips to San Francisco per quarter.What’s in it for youPart of our founding Engagement team: a phenomenal platform for accelerated career growth.Optimising value from the best product in a new category that already generates a ton of customer love.Generous salary and equity in a Series B rocketship growing 5x YoY.All the benefits you expect and more.Are you ready to join the best teammates you’ll ever work with?

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Perplexity is an AI-powered answer engine founded in December 2022 and growing rapidly as one of the world’s leading AI platforms. Perplexity has raised over $1B in venture investment from some of the world’s most visionary and successful leaders, including Elad Gil, Daniel Gross, Jeff Bezos, Accel, IVP, NEA, NVIDIA, Samsung, and many more. Our objective is to build accurate, trustworthy AI that powers decision-making for people and assistive AI wherever decisions are being made. Throughout human history, change and innovation have always been driven by curious people. Today, curious people use Perplexity to answer more than 780 million queries every month–a number that’s growing rapidly for one simple reason: everyone can be curious. Perplexity is an AI-powered answer engine founded in December 2022 and growing rapidly as one of the world’s leading AI platforms. Perplexity has raised over $1B in venture investment from some of the world’s most visionary and successful leaders, including Elad Gil, Daniel Gross, Jeff Bezos, Accel, IVP, NEA, NVIDIA, Samsung, and many more. Our objective is to build accurate, trustworthy AI that powers decision-making for people and assistive AI wherever decisions are being made. Throughout human history, change and innovation have always been driven by curious people. Today, curious people use Perplexity to answer more than 780 million queries every month–a number that’s growing rapidly for one simple reason: everyone can be curious.  Perplexity is revolutionizing how people discover and interact with information through AI-powered search and knowledge tools. As we expand our global footprint, we're establishing a strategic presence in London to drive innovation and growth across Europe. The Role: We're seeking an exceptional Site Lead to establish and scale our London office. This is a unique opportunity to shape Perplexity's presence in one of the world's leading tech hubs, building teams and culture from the ground up while driving technical excellence in infrastructure and AI systems. As Site Lead, you'll serve as the face of Perplexity in London, responsible for building our technical organization, fostering a world-class engineering culture, and directly managing one or more infrastructure teams. You'll report to senior leadership and work cross-functionally with teams across our global footprint.   The individual in this role will manage teams in LON themselves while also facilitating.   Responsibilities: Site Leadership & Culture Establish and lead Perplexity's London office, setting the cultural foundation and operating principles Build a collaborative, high-performance engineering culture that aligns with Perplexity's values while embracing the strengths of the London tech ecosystem Serve as the primary point of contact for all London-based activities and represent the site in company-wide strategic discussions Partner with People/HR, Finance, and Operations to ensure seamless site operations Drive local community engagement, partnerships, and Perplexity's brand presence in the London and European tech community   Technical Leadership: Directly manage and mentor one or more infrastructure or AI infrastructure teams in London (5-15+ engineers) Set technical direction and strategy for London-based infrastructure initiatives in alignment with company-wide goals Drive architectural decisions and technical excellence across teams Ensure robust systems for deployment, monitoring, scalability, and reliability of infrastructure supporting AI/ML workloads Collaborate with engineering leaders globally to align on technical standards, best practices, and cross-site initiatives   Team Building & Talent: Build and scale high-performing infrastructure and AI infrastructure teams through strategic hiring Develop and execute talent acquisition strategy for the London site in partnership with recruiting Create career development frameworks and growth opportunities for engineers Foster technical mentorship and knowledge sharing across teams and sites     Cross-functional Collaboration: Partner with Product, Engineering, and Research teams globally to understand infrastructure needs and deliver solutions Coordinate with other site leads and engineering leaders to ensure effective cross-site collaboration Contribute to company-wide infrastructure strategy and roadmap planning Facilitate knowledge transfer and best practice sharing across global teams Qualifications: Required 10+ years of experience in software engineering with 5+ years in infrastructure, cloud infrastructure, or AI infrastructure roles 3+ years of people management experience, including building and scaling teams Proven track record of establishing or significantly growing an engineering site or office Deep technical expertise in distributed systems, cloud platforms (AWS, GCP, or Azure), and infrastructure automation Experience with infrastructure supporting large-scale AI/ML systems, including: GPU infrastructure and orchestration ML training and inference pipelines Model serving and deployment at scale Strong understanding of modern infrastructure technologies: Kubernetes, Terraform, container orchestration, CI/CD systems Demonstrated ability to set technical vision and drive execution across multiple teams Excellent communication and stakeholder management skills Experience working in fast-paced, high-growth technology companies Passion for building inclusive, diverse, and high-performing teams Preferred Experience at companies focused on AI/ML, search, or large-scale consumer applications Previous experience as a site lead, office lead, or similar multi-team leadership role Background in building infrastructure for LLM training or inference Contributions to open-source infrastructure or AI infrastructure projects Experience scaling teams from 0 to 20+ engineers Active involvement in the London or European tech community MBA or advanced technical degree What Success Looks Like: 30 Days Deep understanding of Perplexity's infrastructure, technology stack, and organizational structure Established relationships with key stakeholders across engineering, product, and leadership Initial hiring plan and culture strategy for London site established Help the Search, API, AI and Infra teams build out their hiring pipelines   90 Days Core infrastructure team established and ramping in London Clear technical roadmap and priorities defined for London-based teams Site culture and operating rhythms established (team meetings, all-hands, cross-site syncs) London office actively participating in company-wide infrastructure initiatives   1 Year London site operating as a high-functioning hub with 15-30+ engineers Infrastructure teams delivering measurable impact on system reliability, performance, and scalability Strong talent brand established in London market with healthy hiring pipeline London recognized internally as a strategic site contributing to Perplexity's technical leadership   Why Join Perplexity Ground-floor opportunity to build and lead a strategic site for a fast-growing AI company Work on cutting-edge AI infrastructure challenges at massive scale Shape the culture and technical direction of an entire office Competitive compensation including equity Comprehensive benefits package Flexible work environment Opportunity to make a significant impact on how millions of people access and interact with information Location: London, United Kingdom (Hybrid)  Perplexity is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

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Dataiku is The Universal AI Platform™, giving organizations control over their AI talent, processes, and technologies to unleash the creation of analytics, models, and agents. Providing no-, low-, and full-code capabilities, Dataiku meets teams where they are today, allowing them to begin building with AI using their existing skills and knowledge.We are seeking a highly motivated Technical AI/ML/GenAI Partner Enablement Manager to join our growing Partner organization at Dataiku. In this role, you will play a pivotal part in scaling our go-to-market capabilities by empowering our ecosystem of system integrators (SIs), consulting firms, cloud providers, independent software vendors (ISVs), and value-added resellers (VARs). As a key member of the Partner Enablement team, you will execute comprehensive enablement programs (demonstrations, sales & technical pitches, hackathons, and more) ensuring that our partners have the necessary skills, tools, and knowledge to drive success with Dataiku's Universal AI platform. The ideal candidate will have a strong technical background in Data Science, AI/ML, and/or GenAI, with a passion for helping partners become experts in utilizing the Dataiku platform. You will be responsible for the delivery of impactful enablement initiatives that ensure Dataiku remains at the forefront of the AI, ML, and GenAI markets. Scope of Role: The Partner Enablement Manager will play a critical role in driving the readiness and productivity of Dataiku’s partner ecosystem across APJ. This role combines field-facing enablement leadership with deep collaboration across Partner Sales, Customer, and Revenue teams to ensure partners are fully capable of selling, implementing, and supporting Dataiku independently. In the APJ theatre, the Partner Enablement Manager will support all partner types — including Global and Regional System Integrators, Resellers, Distributors, Tech Alliances, etc— across sales, technical, and delivery enablement initiatives. The goal is to ensure partners can independently lead both pre-sales and post-sales cycles on behalf of Dataiku. This includes delivering targeted training programs, co-developing enablement plans aligned to regional priorities, and ensuring close collaboration with Dataiku’s Partner Sales and Field teams to accelerate partner-led revenue. Key Responsibilities: Become a Dataiku Expert: Deeply understand and master Dataiku's Universal AI platform to effectively educate, pitch, and demo the platform to new and existing partners.  Provide deep technical expertise and support to a set of assigned partners in assigned regions. Enablement Program Execution: Execute tailored enablement programs such as bootcamps, hackathons, webinars, and other learning initiatives to empower partners with the knowledge and hands-on experience needed to sell, implement, and support Dataiku solutions & services.  Partner Field Engagement: Collaborate with Partner Leaders and Technology Alliance Manager to coordinate and support field engagement initiatives such as Partner Days, Enablement Workshops. Ensure alignment with the sales and go-to-market teams to drive success in partner-led activities. Partner Support & Relationship Management: Provide ongoing sales & technical support to partners in the pre-sales and post-sales phases. Build strong relationships to foster partner loyalty and maximize their success with Dataiku. Custom Enablement Solutions: Work closely with partners to develop customized training and enablement solutions that address specific business needs and accelerate adoption of Dataiku's platform within their organizations. Reporting and Metrics: Track and report on the effectiveness of enablement programs and partner performance, continuously refining strategies based on data-driven insights. Market Intelligence: Stay up to date with industry trends, competitive dynamics, and partner needs, adapting and evolving the enablement programs to meet the changing demands of the market. Provide insights to internal teams on partner capabilities, product needs, and market opportunities. Qualifications: 10+ years of experience in consulting, technology, or a highly technical role is preferred. Bachelor’s degree in Computer Science, Data Science, Engineering, or a related field; advanced degrees or certifications are a plus. Strong technical background or degree equivalent in Data Science, AI/ML, and/or GenAI, with practical experience in AI/ML development and deployment. Existing Dataiku certifications highly preferred. Exceptional communication, presentation, and interpersonal skills, with the ability to influence and engage stakeholders across all levels internally and externally Experience and or skills using or integrating with key Dataiku ecosystem partners to include AWS, Azure, GCP, Snowflake, Databricks, or NVIDIA Ability to work collaboratively across teams (Global Partner Organization, Sales, Product, and Marketing) and manage cross-functional initiatives. A proactive mindset with the ability to stay ahead of market trends and adapt programs to partner needs. Data-driven mindset with strong analytical skills and a commitment to continuous improvement. Ability to travel as needed to support partner engagements, events, and training sessions. Proficiency in Japanese and/or Korean is considered an advantage. #LI-FN1 #LI-Hybrid  What are you waiting for! At Dataiku, you'll be part of a journey to shape the ever-evolving world of AI. We're not just building a product; we're crafting the future of AI. If you're ready to make a significant impact in a company that values innovation, collaboration, and your personal growth, we can't wait to welcome you to Dataiku! And if you’d like to learn even more about working here, you can visit our Dataiku LinkedIn page.   Our practices are rooted in the idea that everyone should be treated with dignity, decency and fairness. Dataiku also believes that a diverse identity is a source of strength and allows us to optimize across the many dimensions that are needed for our success. Therefore, we are proud to be an equal opportunity employer. All employment practices are based on business needs, without regard to race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. This applies to all policies and procedures related to recruitment and hiring, compensation, benefits, performance, promotion and termination and all other conditions and terms of employment. If you need assistance or an accommodation, please contact us at: reasonable-accommodations@dataiku.com     Protect yourself from fraudulent recruitment activity Dataiku will never ask you for payment of any type during the interview or hiring process. Other than our video-conference application, Zoom, we will also never ask you to make purchases or download third-party applications during the process. If you experience something out of the ordinary or suspect fraudulent activity, please review our page on identifying and reporting fraudulent activity here.

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About Anyscale: At Anyscale, we're on a mission to democratize distributed computing and make it accessible to software developers of all skill levels. We’re commercializing Ray, a popular open-source project that's creating an ecosystem of libraries for scalable machine learning. Companies like OpenAI, Uber, Spotify, Instacart, Cruise, and many more, have Ray in their tech stacks to accelerate the progress of AI applications out into the real world. With Anyscale, we’re building the best place to run Ray, so that any developer or data scientist can scale an ML application from their laptop to the cluster without needing to be a distributed systems expert. Proud to be backed by Andreessen Horowitz, NEA, and Addition with $250+ million raised to date. About the role:As a Site Reliability Engineer, you will play a crucial role in ensuring the smooth operation of all user-facing services and other Anyscale production systems. Anyscale values diversity and inclusion, and we encourage applications from individuals of all backgrounds.This includes processes for provisioning, negotiating prices, managing costs, seeing opportunities for teams to reduce wastage by finding applications across the company. You will apply sound engineering principles, operational discipline, and mature automation to our environments and the Anyscale codebase as we scale.As part of this role, you will:Develop a unified perspective on how cloud components are utilized across the company, taking into account diverse needs and requirements.Ensure that deployment methodologies align with the company's reliability goals.Build systems that promote understanding of production environments, facilitating quick identification of issues through robust observability infrastructure for metrics, logging, and tracing.Create monitoring and alerting systems at different levels, enabling teams to easily contribute and enhance the overall monitoring capabilities.Establish testing infrastructure to support the team in writing and executing tests effectively.Develop tools for measuring service level objectives (SLOs) and define organization-wide SLOs.Implement best practices and on-call systems, ensuring efficient incident management and up-leveling the incident management system at Anyscale.Coordinate the creation and deployment of cloud-based services, including tracking deployments and establishing effective communication channels for issue resolution.We'd love to hear from you if have:At least 3 years of relevant work experience in a similar role.CompensationAt Anyscale, we take a market-based approach to compensation. We are data-driven, transparent, and consistent. As the market data changes over time, the target salary for this role may be adjusted.This role is also eligible to participate in Anyscale's Equity and Benefits offerings, including the following:Stock OptionsHealthcare plans, with premiums covered by Anyscale at 99%401k Retirement PlanWellness stipendEducation stipendPaid Parental LeaveFlexible Time OffCommute reimbursement100% of in office meals coveredAnyscale Inc. is an Equal Opportunity Employer. Candidates are evaluated without regard to age, race, color, religion, sex, disability, national origin, sexual orientation, veteran status, or any other characteristic protected by federal or state law. Anyscale Inc. is an E-Verify company and you may review the Notice of E-Verify Participation and the Right to Work posters in English and Spanish

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Introduction to Demandbase:  Demandbase is the leading account-based GTM platform for B2B enterprises to identify and target the right customers, at the right time, with the right message. With a unified view of intent data, AI-powered insights, and prescriptive actions, go-to-market teams can seamlessly align and execute with confidence. Thousands of businesses depend on Demandbase to maximize revenue, minimize waste, and consolidate their data and technology stacks - all in one platform. As a company, we’re as committed to growing careers as we are to building world-class technology. We invest heavily in people, our culture, and the community around us. We have offices in the San Francisco Bay Area, Seattle, and India, as well as a team in the UK, and allow employees to work remotely. We have also been continuously recognized as one of the best places to work in the San Francisco Bay Area including, “Best Workplaces for Millennials” and “Best Workplaces for Parents”! We're committed to attracting, developing, retaining, and promoting a diverse workforce. By ensuring that every Demandbase employee is able to bring a diversity of talents to work, we're increasingly capable of living out our mission to transform how B2B goes to market. We encourage people from historically underrepresented backgrounds and all walks of life to apply. Come grow with us at Demandbase! The base compensation range for this position for candidates in the SF Bay Area is: $190,000 - $284,000. For all other locations, the base compensation range is based on the primary work location of the candidate as our ranges are location specific. Actual compensation packages are based on a wide array of factors unique to each candidate, including but not limited to skillset, years of experience, and depth of experience. About this Pipeline Role: This is a pipeline posting for potential future openings on our Data Engineering team. While we are not actively hiring for this position at this time, we are always looking to connect with talented Senior Data Engineers who are passionate about building and optimizing large-scale data systems. By joining our talent pipeline, you’ll stay on our radar for future opportunities that align with your skills and interests as they become available. In this role, you would work on improving the core pipelines that power our Identification product and design new processes that enable our data science team to test and deploy new ML/AI models. The product delivered by this team is integrated into the core product stack and is a critical component of Demandbase’s account intelligence platform. If you are an experienced engineer who is passionate about data and eager to make an impact, we’d love to stay connected. What you’ll be doing (in a future role): Lead initiatives to build, expand, and improve real-world entity identification datasets Coordinate with downstream stakeholders with dependencies on identification datasets Design and build new pipelines to increase identification coverage and detect errors Collaborate with a skilled data science team to enable new ML/AI model development Provide insights into optimizing existing pipelines for performance and cost-efficiency Create and document descriptive plans for new feature implementation What we look for: Bachelor’s degree in computer science, engineering, mathematics, or related field 8+ years of relevant experience Progressive experience in the following areas: Object-oriented / strongly typed programming (Scala, Java, etc.) Productionizing and deploying Spark pipelines Complex SQL Apache Airflow or similar orchestration tools Strong SDLC principles (CI/CD, unit testing, Git process, etc.) Solid understanding of AWS services (IAM, EC2, S3) An interest in data science Even Better If You Have: Experience with Python, distributed computing, ad-targeting, or GenAI Background in the ad-tech industry Experience modeling and working with graph-based datasets Interested in joining our pipeline?If this role sounds like a great fit for your background and career goals, we encourage you to join our talent network by submitting your application. We’ll reach out when a relevant opportunity opens up! Benefits: We offer a comprehensive benefits package designed to support your health, well-being, and financial security. Our employees enjoy up to 100% paid premiums for Medical and Vision coverage, ensuring access to top-tier care for you and your loved ones. In addition, we provide a range of mental wellness resources, including access to Modern Health, to help support your emotional well-being. We believe in a healthy work-life harmony, which is why we offer a flexible PTO policy, 15 paid holidays in 2025—including a three-day break around July 4th and a full week off for Thanksgiving—and No Internal Meetings Fridays to give you uninterrupted time to focus on what matters most. For your financial future, we offer a competitive 401(k) plan, short-term and long-term disability coverage, life insurance, and other valuable benefits to ensure your financial peace of mind. Our Commitment to Diversity, Equity, and Inclusion at Demandbase: At Demandbase, we believe in creating a workplace culture that values and celebrates diversity in all its forms. We recognize that everyone brings unique experiences, perspectives, and identities to the table, and we are committed to building a community where everyone feels valued, respected, and supported. Discrimination of any kind is not tolerated, and we strive to ensure that every individual has an equal opportunity to succeed and grow, regardless of their gender identity, sexual orientation, disability, race, ethnicity, background, marital status, genetic information, education level, veteran status, national origin, or any other protected status. We do not automatically disqualify applicants with criminal records and will consider each applicant on a case-by-case basis. We recognize that not all candidates will have every skill or qualification listed in this job description. If you feel you have the level of experience to be successful in the role, we encourage you to apply! We acknowledge that true diversity and inclusion requires ongoing effort, and we are committed to doing the work required to make our workplace a safe and equitable space for all. Join us in building a community where we can learn from each other, celebrate our differences, and work together.      Personal information that you submit will be used by Demandbase for recruiting and other business purposes. Our Privacy Policy explains how we collect and use personal information.

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Replicant is the industry leader in voice AI for customer service since it was founded in 2017. When you dial the customer service number of one of our customers–like AAA or Fanatics–our bot answers the phone. Over 50% of callers do not even need to talk to a human, and they rate the interaction higher than if they did so. We do this with AI that feels human, scales securely, and delivers real business results. We are backed by top tier Silicon Valley investors and growing rapidly. We are based mostly in the SF Bay Area, Toronto, and New York, and much of our team is distributed throughout other parts of the US and Canada.Joining Replicant means working on technology that makes customer service both better and cheaper, for a gigantic market of millions of potential customers. We solve huge challenges with a small team, so every improvement you will ship makes a huge difference.In this role, you'll build out rich user experiences on a robust and scalable architecture. You’ll work closely with customers and our product and machine learning teams to create powerful self-service tools that enable users to build powerful and delightful AI-powered conversations for callers.What you'll doBuild modern, single-page applications using technologies like React and NodeJsProvide technical mentorship, code reviews, and technical project leadership for your teamIdentify and drive the adoption of new technologies, best practices, and design patterns in your teamUse metrics and your team's collective experience to drive development decisionsShare your passion for learning about technical topics with your team and peersParticipate in regular on-call rotations to support our systemsCollaborate with your team to manage and prioritize work through a rigorous, yet lightweight, agile processWhat you'll bring3+ years of Software Development experience in a SaaS environmentExperience working on technical projects and prioritization with a customer-focused mindsetA deep understanding of the unique requirements and challenges of B2B applications, you understand the importance of reliability, scalability, and usability in B2B softwareYou have a strong grasp of accessibility standards (WCAG, ARIA) and are experienced in developing inclusive web applications that are accessible to all users, including those with disabilitiesAdvanced knowledge of Object Oriented Programming, Test Driven Development, Distributed Systems and API designA desire to create elegant, scalable, and maintainable tools and solutionsExperience with some of our primary technologies: React, TypeScript (or similar) and PostgreSQLFor all full-time employees, we offer:🏠  Remote working environment that respects time zone differences💸  Highly competitive salaries, equity, and for US Employees, a 401(k) plan🏥  Top of the line healthcare (medical, vision, and dental)🏋️  Health and Wellness Perk🖥️ Equipment Stipend🌴  Flexible vacation policy✈️  Amazing team trips & offsites where you can find our CEO baking bread for the team🌺 Replicants are eligible for a 5-week sabbatical after being at the company for 4.5 yearsOur ValuesReplicant has three core values. It is critical that everyone who joins the team feels excited and moved by these values as every new team member makes an impact on our culture.Blade Runners: We take ownership and pride to influence the outcomes of our goals. We are successful, and like a Blade Runner, use the tools at our disposal to reach our objectives. We value open and honest communication and proactively seek feedback along the way. We are a company driven to grow and achieve both individually and as a team.Bread Makers: We are humble and strive toward an egalitarian culture. No task is too big or too small. We work together to achieve our goals and develop our company mission. We believe that the whole is greater than the sum of its parts in everything that we do.Självdistans (Self-Distance): Självdistans is Swedish for self-distance. It's the ability to critically reflect on oneself and one's relations from an external perspective. With this in mind, we act with objectivity and always remember that we are not our work. There's no perfect science to growing a team or business, but we trust everyone at Replicant to point out our blind spots and humbly admit their own.Replicant is proud to be an equal opportunity employer. We are committed to fostering an inclusive, diverse and equitable workplace that is built on trust, support and respect. We welcome all individuals and do not discriminate on the basis of gender identity and expression, race, ethnicity, disability, sexual orientation, colour, religion, creed, gender, national origin, age, marital status, pregnancy, sex, citizenship, education, languages spoken or veteran status. Accommodation is available upon request at any point during our recruitment process. If you require an accommodation, please speak to your talent acquisition partner or email us at talent@replicant.ai and we’ll work to meet your needs.

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Mirage is the leading AI short-form video company. We’re building full-stack foundation models and products that redefine video creation, production and editing. Over 20 million creators and businesses use Mirage’s products to reach their full creative and commercial potential.We are a rapidly growing team of ambitious, experienced, and devoted engineers, researchers, designers, marketers, and operators based in NYC. As an early member of our team, you’ll have an opportunity to have an outsized impact on our products and our company's culture.Our ProductsCaptions Mirage Studio Our TechnologyAI Research @ MirageMirage Model AnnouncementSeeing Voices (white-paper)Press CoverageTechCrunchLenny’s PodcastForbes AI 50Fast CompanyOur InvestorsWe’re very fortunate to have some the best investors and entrepreneurs backing us, including Index Ventures, Kleiner Perkins, Sequoia Capital, Andreessen Horowitz, Uncommon Projects, Kevin Systrom, Mike Krieger, Lenny Rachitsky, Antoine Martin, Julie Zhuo, Ben Rubin, Jaren Glover, SVAngel, 20VC, Ludlow Ventures, Chapter One, and more.** Please note that all of our roles will require you to be in-person at our NYC HQ (located in Union Square) We do not work with third-party recruiting agencies, please do not contact us** About the role: Captions is seeking a Machine Learning Engineer to partner closely with our Researchers and bring large-scale multimodal video diffusion models into production. You’ll be responsible for optimizing and deploying state-of-the-art generative models (tens to hundreds of billions of parameters) to deliver low-latency, high-throughput inference at scale. This is a unique opportunity to work on cutting-edge AI—spanning audio-video generation, diffusion architectures, and temporal modeling—and ensure these innovations reach millions of creators worldwide. Responsibilities:Inference & DeploymentDevelop high-performance GPU-based inference pipelines for large multimodal diffusion models.Build, optimize, and maintain serving infrastructure to deliver low-latency predictions at large scale.Collaborate with DevOps teams to containerize models, manage autoscaling, and ensure uptime SLAs.Model Optimization & Fine-TuningLeverage techniques like quantization, pruning, and distillation to reduce latency and memory footprint without compromising quality.Implement continuous fine-tuning workflows to adapt models based on real-world data and feedback.Production MLOpsDesign and maintain automated CI/CD pipelines for model deployment, versioning, and rollback.Implement robust monitoring (latency, throughput, concept drift) and alerting for critical production systems.Performance & ScalingExplore cutting-edge GPU acceleration frameworks (e.g., TensorRT, Triton, TorchServe) to continuously improve throughput and reduce costs.Requirements: Technical ExpertiseProven experience deploying deep learning models on GPU-based infrastructure (NVIDIA GPUs, CUDA, TensorRT, etc.).Strong knowledge of containerization (Docker, Kubernetes) and microservice architectures for ML model serving.Proficiency with Python and at least one deep learning framework (PyTorch, TensorFlow).Model Optimization Familiarity with compression techniques (quantization, pruning, distillation) for large-scale models.Experience profiling and optimizing model inference (batching, concurrency, hardware utilization).InfrastructureHands-on experience with ML pipeline orchestration (Airflow, Kubeflow, Argo) and automated CI/CD for ML.Strong grasp of logging, monitoring, and alerting tools (Prometheus, Grafana, etc.) in distributed systems.Domain ExperienceExposure to diffusion models, multimodal video generation, or large-scale generative architectures.Experience with distributed training frameworks (FSDP, DeepSpeed, Megatron-LM) or HPC environments.Benefits:Comprehensive medical, dental, and vision plans401K with employer matchCommuter BenefitsCatered lunch multiple days per weekDinner stipend every night if you're working late and want a bite! Grubhub subscriptionHealth & Wellness Perks (Talkspace, Kindbody, One Medical subscription, HealthAdvocate, Teladoc)Multiple team offsites per year with team events every monthGenerous PTO policyCaptions provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.Please note benefits apply to full time employees only.

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About BrighthireBrightHire is a category-creating, Series B software company with a mission to give everyone the hiring experience they deserve.We deliver on this mission by transforming the way many of the world’s leading companies build exceptional teams. We created the Interview Intelligence category, and our clients include some of the world’s most innovative companies—from Canva and Zapier to Rippling—as well as members of the Fortune 100.About The RoleYou will partner closely with our Engineers, Product, and Design to productionize early-stage AI features into high quality, performant AI features that delight users at scale. Your focus will be on quality and safety testing: devising rigorous evaluation frameworks, refining prompts and pipelines, and optimizing model choices for cost, latency, accuracy, tone, and safety. You will help build the shared AI platform that powers products such as:AI Interviewer conversation loops that adapt in real timeAI Fraud Signals that flag suspicious behavior with minimal false positivesAI Candidate skills matrices and assistants that surface instant insightsWhat You'll DoDesign and own comprehensive evaluations that measure accuracy, completeness, style, hallucination rate, bias, and safety across every release.Tune and iterate on RAG pipelines, prompt chains, conversation loops, provider selections, and fine-tunes until quality bars are met or exceeded.Build reusable data and evaluation pipelines, a shared semantic layer, and monitoring dashboards that make it easy for product teams to ship reliable AI quickly.Optimize for cost and latency, continuously benchmarking models and negotiating trade-offs between performance and spend.Implement robust data governance and lineage practices that satisfy enterprise compliance requirements and support our AI bias audit process.Document best practices and share knowledge to raise the bar for AI development across BrightHire.What You'll Bring5+ years in Data Science or ML engineering with a strong focus on ML or NLP systems.1+ year focused on Gen-AI or LLM systems.Strong Python and SQL skills.Experience creating automated evaluation suites for LLM outputs (accuracy, safety, bias, tone, style) and using results to guide iterative improvements.Knowledge of prompt engineering, RAG techniques, vector search, embeddings, fine-tuning, and model selection across multiple providers.Ability to communicate complex AI trade-offs clearly to engineers, designers, and executives alikeBias toward action, curiosity, and a passion for building high-quality user experiencesAbout Our TeamHigh-impact projects in small, autonomous squads where you can lead platform initiatives or dive deep as a specialistThoughtful developer experience with fast CI, 1-click deploys, strong observability, and clean codebasesSustainable remote culture: regular working hours, no-meeting Wednesdays, and flexible time offCollaborative, kind teammates who value learning and growthMore About UsRemote flexibility: Our team is fully remote, spanning across North and South American time zones. We crossover our hours for a core chunk of the day but provide everyone flexibility in how and when they get work done.Impactful work: Play a critical role in delivering on our mission to give everyone the hiring experience they deserve.Learning opportunities: Engage with a wide range of technologies and challenges, offering continuous learning and professional growth.Collaborative environment: We’re always working together to brainstorm ideas about product, strategy, etc.Use your own product: We use our product daily in our own hiring, which is rewarding and gives us product empathy!Customer Connection: We try to make sure everyone stays connected to users and clients, joining sales and client meetings, talking to end users, etc.Autonomy: Everyone is self-motivated, autonomous, and seeks ways we can continuously improve as a companyFun: We’re generous, self-deprecating, look for reasons to laugh, and enjoy sharing our ideas for band names, posting photos from our walks, and reminiscing about previous travels.BenefitsThis is a full-time contractor role for long-term employment15 days PTO12 national holidaysHealthcare stipendWork-from-home, learning, and vacation stipendsCompany provided computerThe Selection ProcessSilver.dev Recruiter Screen Hiring Manager InterviewDeep Dive Work Experience ScreenSystem Design ScreenExecutive Interview w/CTO

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Introduction to Demandbase:  Demandbase is the leading account-based GTM platform for B2B enterprises to identify and target the right customers, at the right time, with the right message. With a unified view of intent data, AI-powered insights, and prescriptive actions, go-to-market teams can seamlessly align and execute with confidence. Thousands of businesses depend on Demandbase to maximize revenue, minimize waste, and consolidate their data and technology stacks - all in one platform. As a company, we’re as committed to growing careers as we are to building world-class technology. We invest heavily in people, our culture, and the community around us. We have offices in the San Francisco Bay Area, Seattle, and India, as well as a team in the UK, and allow employees to work remotely. We have also been continuously recognized as one of the best places to work in the San Francisco Bay Area including, “Best Workplaces for Millennials” and “Best Workplaces for Parents”! We're committed to attracting, developing, retaining, and promoting a diverse workforce. By ensuring that every Demandbase employee is able to bring a diversity of talents to work, we're increasingly capable of living out our mission to transform how B2B goes to market. We encourage people from historically underrepresented backgrounds and all walks of life to apply. Come grow with us at Demandbase! The base compensation range for this position for candidates in the SF Bay Area is: $163,000 - $245,000. For all other locations, the base compensation range is based on the primary work location of the candidate as our ranges are location specific. Actual compensation packages are based on a wide array of factors unique to each candidate, including but not limited to skillset, years of experience, and depth of experience. About the Role Demandbase is hiring a Principal Product Manager to shape the next evolution of our in-house DSP, transforming it from a powerful B2B media platform into an AI-driven, multi-channel intelligence engine. This PM will play a pivotal role in scaling our DSP across display, video, and emerging media formats, while laying the foundation for agentic workflows, creative personalization, and outcome-driven optimization. You’ll define how Demandbase connects data, creative, and decisioning into one adaptive system that automates success across the full customer journey. It’s a high-impact, technical, and strategic role for a product leader who thrives at the intersection of AI, media infrastructure, and B2B marketing innovation. What You Will Do Own the DSP strategy and roadmap to drive scalable, AI-led performance across all channels, including display, video, and emerging formats. Evolve our optimization engine into an autonomous system that learns, adapts, and recommends actions to maximize pipeline and revenue outcomes. Partner with the Creative Personalization team to integrate adaptive creative and generative content into the media experience. Scale video and CTV activation using our proprietary account graph and identity data to deliver measurable B2B reach and engagement. Advance measurement and experimentation by building causal-lift frameworks that quantify pipeline influence across media types. Work with Engineering and Data Science to bring AI models into production that personalize bidding, pacing, and creative selection. Collaborate cross-functionally with GTM, Marketing, and Finance to define success metrics (media revenue, ROI, cost per pipeline dollar). Represent the advertiser and agency voice internally to ensure our DSP delivers intuitive, high-impact workflows that scale globally. What Will Make You Successful Deep expertise in programmatic media, DSPs, and auction dynamics, with curiosity for how AI is reshaping them. You think like a systems architect, connecting creative, optimization, and measurement into unified intelligence loops. Fluency, or at least demonstrated curiosity, around AI product concepts (agentic systems, reinforcement learning, large model integration) and how they translate to user and business value. Experience expanding into new media formats (CTV, native, video) and solving for scale, latency, and measurement challenges. Strong partnership instincts that help you collaborate effectively across engineering, science, agencies, and GTM teams. Clarity under complexity: you prioritize ruthlessly, communicate with precision, and move teams toward decisive execution. Qualifications 7–10+ years of product management experience, ideally in ad tech, DSPs, or large-scale AI-driven systems. Proven track record of driving growth through media optimization, measurement, or identity innovation. Strong technical literacy and comfort discussing architecture, ML models, or experimentation frameworks with engineers. Understanding of multi-channel programmatic ecosystems and B2B buying behavior. Excellent communication and storytelling skills with both executive and technical audiences. Bonus: Experience with generative AI or creative automation in a media or martech context. Why This Role Matters Demandbase is redefining how B2B advertising works. Our DSP is not just another bidder, it is the foundation of an agentic, AI-powered marketing platform that connects targeting, creative, and measurement to real business outcomes. By joining this team, you’ll lead the evolution of a self-optimizing media platform capable of adapting to each advertiser’s goals, channels, and audiences, from display to CTV to whatever comes next. If you’re passionate about building the future of intelligent, multi-channel B2B media and want to shape how AI transforms advertising at its core, we’d love to meet you.   Benefits: We offer a comprehensive benefits package designed to support your health, well-being, and financial security. Our employees enjoy up to 100% paid premiums for Medical and Vision coverage, ensuring access to top-tier care for you and your loved ones. In addition, we provide a range of mental wellness resources, including access to Modern Health, to help support your emotional well-being. We believe in a healthy work-life harmony, which is why we offer a flexible PTO policy, 15 paid holidays in 2025—including a three-day break around July 4th and a full week off for Thanksgiving—and No Internal Meetings Fridays to give you uninterrupted time to focus on what matters most. For your financial future, we offer a competitive 401(k) plan, short-term and long-term disability coverage, life insurance, and other valuable benefits to ensure your financial peace of mind. Our Commitment to Diversity, Equity, and Inclusion at Demandbase: At Demandbase, we believe in creating a workplace culture that values and celebrates diversity in all its forms. We recognize that everyone brings unique experiences, perspectives, and identities to the table, and we are committed to building a community where everyone feels valued, respected, and supported. Discrimination of any kind is not tolerated, and we strive to ensure that every individual has an equal opportunity to succeed and grow, regardless of their gender identity, sexual orientation, disability, race, ethnicity, background, marital status, genetic information, education level, veteran status, national origin, or any other protected status. We do not automatically disqualify applicants with criminal records and will consider each applicant on a case-by-case basis. We recognize that not all candidates will have every skill or qualification listed in this job description. If you feel you have the level of experience to be successful in the role, we encourage you to apply! We acknowledge that true diversity and inclusion requires ongoing effort, and we are committed to doing the work required to make our workplace a safe and equitable space for all. Join us in building a community where we can learn from each other, celebrate our differences, and work together.      Personal information that you submit will be used by Demandbase for recruiting and other business purposes. Our Privacy Policy explains how we collect and use personal information.

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About usAt Sierra, we’re creating a platform to help businesses build better, more human customer experiences with AI. We are primarily an in-person company based in San Francisco, with growing offices in Atlanta, New York, and London.We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and Family. These values are the foundation of our work, and we are committed to upholding them in everything we do.Our co-founders are Bret Taylor and Clay Bavor. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace. What you'll doAs a member of our Agent Strategist function at Sierra, you will be responsible for partnering with our Agent Product Managers and Agent Engineers to scope, build, and ship AI agents that handle thousands of customer conversations a day.You’ll play a central role in agent development, combining product strategy, conversational design, and customer insight to bring high-quality agents to life.Be a trusted advisor to our customers and drive their AI strategies.Build, design and refine conversational AI agents, gaining direct exposure to how these products are developed and improved.Drive execution and delivery of multiple complex, high-visibility agent development projects.Coordinate across technical and non-technical stakeholders through the full agent development lifecycle process.Ensure clear communication across all stakeholders while developing strong relationships.Contribute data-driven, strategic insights to customers and internal team decisions.What you'll bringOutstanding Communication Skills: Excellent verbal and written communication skills to convey complex technical information to non-technical stakeholders, fostering collaboration and driving projects forward with clarity.Technical Expertise: Strong understanding of software development, product management and engineering principles, enabling you to act as a strategic partner to customers and internal teams as we turn visionary ideas into agents.Problem-Solving and Analytical Skills: Strong analytical and critical thinking skills to grasp complex concepts, and to identify risks and issues, develop mitigation strategies, and handle unexpected challenges across customer relationships and products.Leadership and Team Management: Proven ability to manage multiple projects simultaneously, leading and inspiring teams to deliver innovative ideas and exceptional agents.Foundational Expertise:Degree in Computer Science, Engineering, Mathematics, a related technical field, or equivalent practical experience that demonstrates comparable expertise.MBA or comparable experience at the intersection of technology and operations is a strong plus.Our valuesTrust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work.Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it.Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve.Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time.Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements.What we offerWe want our benefits to reflect our values and offer the following to full-time employees:Flexible (Unlimited) Paid Time OffMedical, Dental, and Vision benefits for you and your familyLife Insurance and Disability BenefitsRetirement Plan (e.g., 401K, pension) with Sierra matchParental LeaveFertility and family building benefits through CarrotLunch, as well as delicious snacks and coffee to keep you energized Discretionary Benefit Stipend giving people the ability to spend where it matters mostFree alphorn lessonsThese benefits are further detailed in Sierra's policies and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies.Be you, with usWe're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.

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About BrighthireBrightHire is a category-creating, Series B software company with a mission to give everyone the hiring experience they deserve.We deliver on this mission by transforming the way many of the world’s leading companies build exceptional teams. We created the Interview Intelligence category, and our clients include some of the world’s most innovative companies—from Canva and Zapier to Rippling—as well as members of the Fortune 100.About The RoleYou will own the end-to-end delivery of many of our biggest AI features. Working in lockstep with Product and Design, you’ll move quickly to design, build, and refine features throughout the entire stack from prompt engineering and evals through the backend, all the way to frontend interactions. You’ll focus on the output quality of your AI features and make sure users get accurate, on-brand AI outputs fast. You’ll work on real features people use every day—things like:Automatic interview coaching that provides tailored feedback and guidance based on an interviewer's recent interviews, with customizable content.An AI Candidate skills matrix that displays structured summaries mapped to key skills aligned with the job description.An AI assistant that allows users to instantly query any detail about a candidate or interview using natural language.Customizable interview summaries that enable customers to create fully personalized AI-generated summaries using their own structure and criteria.…and moreWhat You'll BringYou have real world experience building generative AI applications end to end, building prompt chains, eval harnesses, vector search, and more.You know how to make LLMs useful in a product. You understand what they are good at and bad at, and you are able to harness their strengths.You have plenty of experience building across the stack in Python and Javascript/Typescript, especially building out the backend logic, data models, and architecture.You think deeply about how AI features work for end users and can make decisions with user empathy.You’ve worked with both structured (SQL) and unstructured data (raw text) and know how to transform them and utilize them together.You care about personality, tone, accuracy, safety, and speed as integral to the AI features you build.You have product instincts and work well with design.You move fast and independently, but you know when to pair and when to pull others in.About Our TeamYou’ll have the opportunity to work on high-impact projects in small, autonomous squads, with the flexibility to lead initiatives or focus as an individual contributor depending on your goals and interests.Our developer experience is thoughtfully designed, with fast CI (< 10 minutes), 1-click deploys, strong observability, and a clean codebase that enables you to move quickly and confidently.Our culture supports sustainable, focused work with fully remote roles, regular working hours, no-meeting Wednesdays, and flexible time off to recharge when needed.Our team is composed of smart, collaborative, and genuinely kind people, creating an environment where you can learn, grow, and do your best work.We offer perks that support productivity and growth, including a work from home stipend, snacks delivered to your door, and stipends for vacations and learning opportunities.More About UsRemote flexibility: Our team is fully remote, spanning across North and South American time zones. We crossover our hours for a core chunk of the day but provide everyone flexibility in how and when they get work done.Impactful work: Play a critical role in delivering on our mission to give everyone the hiring experience they deserve.Learning opportunities: Engage with a wide range of technologies and challenges, offering continuous learning and professional growth.Collaborative environment: We’re always working together to brainstorm ideas about product, strategy, etc.Use your own product: We use our product daily in our own hiring, which is rewarding and gives us product empathy!Customer Connection: We try to make sure everyone stays connected to users and clients, joining sales and client meetings, talking to end users, etc.Autonomy: Everyone is self-motivated, autonomous, and seeks ways we can continuously improve as a companyFun: We’re generous, self-deprecating, look for reasons to laugh, and enjoy sharing our ideas for band names, posting photos from our walks, and reminiscing about previous travels.BenefitsThis is a full-time contractor role for long-term employment15 days PTO12 national holidaysHealthcare stipendWork-from-home, learning, and vacation stipendsCompany provided computerThe Selection ProcessSilver.dev Recruiter ScreenSilver.dev Live Coding ScreenHiring Manager InterviewDeep Dive Work Experience ScreenSystem Design ScreenExecutive Interview w/CTO

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Who are we?Our mission is to scale intelligence to serve humanity. We’re training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI.We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do what’s best for our customers.Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products.Join us on our mission and shape the future!Why this role?We are building a Government Affairs and Public Policy (GAPP) team that has the drive and experience to engage in and shape a nascent and unique policy environment for enterprise AI.As our new UK hire you will bring a day‑to‑day presence with the British Government ensuring Cohere’s voice is heard as AI policy, procurement, and innovation agendas take shape. This is an ideal opportunity for a seasoned professional who thrives on politics, policy, and technology—and who wants to help Cohere be a key player of the UK’s “AI maker” strategy. You’ll work alongside seasoned policy leaders, have direct exposure to executives, and see your insights shape national decisions.In this role you will:Report directly to Cohere’s Lead for EMEA Government Affairs & Public Policy, partnering closely with Cohere’s senior leadership, legal, public policy and responsible AI teams to co-develop, coordinate and implement a government affairs and stakeholder engagement strategy with the goal to advocate for adoption-focused AI policies and related issues.Serve as Cohere’s eyes and ears in London, UK, and Beyond - Build relationships at the working level and cultivate connections with government officials, Parliament and public‑sector innovation teams to ensure Cohere is a trusted resource and partner.Support policy advocacy & procurement - Help craft submissions, briefing notes, and talking points on AI and technology policy initiatives and procurement policy reform efforts.Work closely with sales teams - Support sales development in regulated sectors (such as public sector, banking, healthcare and others).In collaboration with Cohere’s public relations and marketing teams, support effective messaging relating to Cohere’s position on artificial intelligence policy and regulation.Manage government relations consultants and trade associations.Ensure compliance of lobbying and political activities with local laws.You could be a great fit if you have…5-7 years’ experience in government, a minister’s or MP’s office, public‑sector consulting, industry association, or corporate GR/policy role—ideally with exposure to tech, innovation, or procurement files.Foundational understanding of UK policymaking— how bills move,the interplay of Government bodies, regulatory agencies and local government.Strong written & verbal communication—able to distill complex issues into crisp memos and to build rapport quickly with officials and colleagues.Bias for action & intellectual curiosity—you’re motivated to figure things out, ask good questions, and push projects over the finish line.Collaborative mindset—comfortable working across time zones with teammates in Paris, Toronto, Washington DC, and abroad.Passion for AI and emerging tech—you don’t need to be an engineer, but you should be excited by the policy challenges and economic potential of enterprise AI.An undergraduate degree in political science, business, or law (or equivalent practical experiences).Nice to have (but not required):Any other language skills.If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply! We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs.Full-Time Employees at Cohere enjoy these Perks:🤝 An open and inclusive culture and work environment 🧑‍💻 Work closely with a team on the cutting edge of AI research 🍽 Weekly lunch stipend, in-office lunches & snacks🦷 Full health and dental benefits, including a separate budget to take care of your mental health 🐣 100% Parental Leave top-up for up to 6 months🎨 Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement🏙 Remote-flexible, offices in Toronto, New York, San Francisco, London and Paris, as well as a co-working stipend✈️ 6 weeks of vacation (30 working days!)

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Lambda, The Superintelligence Cloud, builds Gigawatt-scale AI Factories for Training and Inference. Lambda’s mission is to make compute as ubiquitous as electricity and give every person access to artificial intelligence. One person, one GPU. If you'd like to build the world's best deep learning cloud, join us.  About this roleThe Super Intelligence Support Account Lead is part of Lambda’s Super Intelligence business unit, dedicated to our largest, most strategic customers operating in the most complex environments. In this role, you will serve as the key support contact for Super Intelligence accounts, acting as a dedicated resource embedded in their success. Your mission is to ensure these customers receive world-class support delivery—solving issues quickly, escalating effectively, advocating for their needs, and driving cross-functional involvement when required.You’ll collaborate closely with every layer of Support Operations, Engineering, Data Center Operations, and Sales, reporting to the Manager of Super Intelligence while working hands-on across the global account management structure. The role requires speed, responsiveness, creativity, and ownership—bringing outside-the-box solutions to critical issues and ensuring support outcomes consistently exceed expectations.What You’ll DoServe as the primary support contact for assigned Super Intelligence accounts, ensuring consistent, high-quality customer experiences.Own the overall support health of assigned accounts, proactively monitoring for risks, recurring issues, and opportunities to improve reliability.Drive resolution for escalated issues by coordinating with Support, Data Center Ops, and Engineering teams—ensuring timely communication and accountability.Lead operational reviews (QBRs/MBRs), presenting ticket trends, SLA adherence, incident summaries, and improvement actions.Develop and maintain account-level success and support plans aligned to customer priorities and workloads.Act as a mentor for frontline support engineers, guiding them through escalations and sharing best practices.Document solutions, escalations, and RCA outcomes to build scalable runbooks and strengthen internal processes.Partner with Product and Engineering teams to ensure customer pain points are visible, tracked, and resolved.Contribute to Lambda’s support operations playbooks, refining how we handle incidents, escalations, and enterprise account management.Curate and document custom scripts, solutions, or customer-requested customizations outside of Lambda’s reference architecture when required.Participate in an on-call scheduleYou5+ years in Support Account Management, Technical Account Management, or Support Engineering within cloud, enterprise IT, or infrastructure environments.Proven experience in HPC environments, showcasing your expertise in Linux cluster administration, with strong preference for Kubernetes and/or Slurm for cluster orchestrationProven ability to own escalations end-to-end, with strong skills in incident management and structured communication.Solid understanding of cloud and HPC infrastructure (GPU cloud, Kubernetes, Linux clusters, or public cloud platforms).Skilled at analyzing ticket trends, incident timelines, and support metrics, turning them into actionable improvements.Strong relationship management skills with both technical and executive-level stakeholders.Comfortable leading cross-functional collaboration, ensuring engineering and operations stay aligned on customer priorities.Experience mentoring or guiding support engineers through escalations or complex cases.Nice to HaveExperience supporting hyperscale or mission-critical customers with 24/7 availability requirements.Familiarity with enterprise ticketing and incident management systems (Zendesk, Jira, ServiceNow).Exposure to GPU/AI/HPC technologies such as CUDA, NCCL, NVLink, GPUDirect, or InfiniBand/RoCE networking.Background in documenting support processes, RCAs, or escalation frameworks.Certifications in ITIL, Linux, cloud platforms, or project management.Salary Range InformationThis is a salaried non-exempt role, eligible for overtime. The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description. About LambdaFounded in 2012, ~400 employees (2025) and growing fastWe offer generous cash & equity compensationOur investors include Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, US Innovative Technology, Gradient Ventures, Mercato Partners, SVB, 1517, Crescent Cove.We are experiencing extremely high demand for our systems, with quarter over quarter, year over year profitabilityOur research papers have been accepted into top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOGHealth, dental, and vision coverage for you and your dependentsWellness and Commuter stipends for select roles401k Plan with 2% company match (USA employees)Flexible Paid Time Off Plan that we all actually useA Final Note:You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.Equal Opportunity EmployerLambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

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Figure is an AI robotics company developing autonomous general-purpose humanoid robots. The goal of the company is to ship humanoid robots with human level intelligence. Its robots are engineered to perform a variety of tasks in the home and commercial markets. Figure is headquartered in San Jose, CA. Figure AI's Reliability team is looking for a motivated and talented Reliability Test Engineering Intern to join our team for an extended internship of 8 to 12 months. In this role, you will be a key contributor to the development and testing of our humanoid hardware systems, ensuring our products are meeting the reliability targets. This is a unique, hands-on opportunity to apply your academic knowledge to real-world challenges in a fast-paced and dynamic environment. Responsibilities:  Design and build custom test stations to perform functional, performance, and reliability testing on key robotic sub-assemblies. Develop mechanical systems incorporating diverse actuation mechanisms, including motors, ballscrews, gearboxes, and feedback devices like torque cells and encoders. Facilitate the electromechanical integration of sensors, motors, and controllers, ensuring proper functionality and communication within the system. Generate detailed 2D manufacturing drawings and documentation, applying Geometric Dimensioning and Tolerancing (GD&T) per ASME Y14.5 standards. Collaborate with cross-functional engineering teams on hands-on testing, data analysis, and iterative design improvements. Contribute to the root cause analysis and resolution of complex hardware-software integration issues across mechanical, electrical, and control domains. Requirements:  Portfolio or website showcasing relevant projects and your role Pursuing a degree in Mechanical, Robotics, Mechatronics, or a related engineering field, with at least two years completed by the start of the internship Proficiency in 3D CAD software for designing complex parts and assemblies. Demonstrated hands-on experience designing, building, and testing mechanical or electromechanical prototypes. Strong mechanical aptitude and a proven ability to take hardware projects from concept to reality. Excellent analytical and problem-solving skills with a keen attention to detail. The US hourly range for this internship position is between $35 - $45/hr.  The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended. 

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Mirage is the leading AI short-form video company. We’re building full-stack foundation models and products that redefine video creation, production and editing. Over 20 million creators and businesses use Mirage’s products to reach their full creative and commercial potential.We are a rapidly growing team of ambitious, experienced, and devoted engineers, researchers, designers, marketers, and operators based in NYC. As an early member of our team, you’ll have an opportunity to have an outsized impact on our products and our company's culture.Our ProductsCaptions Mirage Studio Our TechnologyAI Research @ MirageMirage Model AnnouncementSeeing Voices (white-paper)Press CoverageTechCrunchLenny’s PodcastForbes AI 50Fast CompanyOur InvestorsWe’re very fortunate to have some the best investors and entrepreneurs backing us, including Index Ventures, Kleiner Perkins, Sequoia Capital, Andreessen Horowitz, Uncommon Projects, Kevin Systrom, Mike Krieger, Lenny Rachitsky, Antoine Martin, Julie Zhuo, Ben Rubin, Jaren Glover, SVAngel, 20VC, Ludlow Ventures, Chapter One, and more.** Please note that all of our roles will require you to be in-person at our NYC HQ (located in Union Square) We do not work with third-party recruiting agencies, please do not contact us** About the Role and Team:Captions seeks an exceptional Research Engineer (MOTS) to drive innovation in training data infrastructure. You'll conduct research on and develop sophisticated distributed training workflows and optimized data processing systems for massive video and multimodal datasets. Beyond pure performance, you'll develop deep insight into our data to maximize training effectiveness. As an early member of our ML Research team, you'll build foundational systems that directly impact our ability to train models powering video and multimodal creation for millions of users.You'll work directly alongside our research and engineering teams in our NYC office. We've intentionally built a culture where infrastructure and data work is highly valued - your success will be measured by the reliability and performance of our systems, not by your ability to navigate politics. We're a team that loves diving deep into technical problems and emerging with practical solutions.Our team values:Quick iteration and practical solutions.Open discussion of technical approaches.Direct access to decision makers.Regular sharing of learnings, results, and iterative work.Key Responsibilities:Infrastructure Development:Build performant pipelines for processing video and multimodal training data at scale.Design distributed systems that scale seamlessly with our rapidly growing video and multimodal datasets.Create efficient data loading systems optimized for GPU training throughput.Implement comprehensive telemetry for video processing and training pipelines.Core Systems Development:Create foundation data processing systems that intelligently cache and reuse expensive computations across the training pipeline.Build robust data validation and quality measurement systems for video and multimodal content.Design systems for data versioning and reproducing complex multimodal training runs.Develop efficient storage and compute patterns for high-dimensional data and learned representations.System Optimization:Own and improve end-to-end training pipeline performance.Build systems for efficient storage and retrieval of video training data.Build frameworks for systematic data and model quality improvement.Develop infrastructure supporting fast research iteration cycles.Build tools and systems for deep understanding of our training data characteristics.Research & Product Impact:Build infrastructure enabling rapid testing of research hypotheses.Create systems for incorporating user feedback into training workflows.Design measurement frameworks that connect model improvements to user outcomes.Enable systematic experimentation with direct user feedback loops.Requirements: Technical Background:Bachelor's or Master's degree in Computer Science, Machine Learning, or related field.3+ years experience in ML infrastructure development or large-scale data engineering.Strong programming skills, particularly in Python and distributed computing frameworks.Expertise in building and optimizing high-throughput data pipelines.Proven experience with video/image data pre-processing and feature engineering.Deep knowledge of machine learning workflows, including model training and data loading systems.System Development:Track record in performance optimization and system scaling.Experience with cluster management and distributed computing.Background in MLOps and infrastructure monitoring.Demonstrated ability to build reliable, large-scale data processing systems.Engineering Approach:Love tackling hard technical problems head-on.Take ownership while knowing when to loop in teammates.Get excited about improving system performance.Want to work directly with researchers and engineers who are equally passionate about building great systems.Benefits:Comprehensive medical, dental, and vision plans401K with employer matchCommuter BenefitsCatered lunch multiple days per weekDinner stipend every night if you're working late and want a bite! Grubhub subscriptionHealth & Wellness Perks (Talkspace, Kindbody, One Medical subscription, HealthAdvocate, Teladoc)Multiple team offsites per year with team events every monthGenerous PTO policyCaptions provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.Please note benefits apply to full time employees only.

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About Anyscale: At Anyscale, we're on a mission to democratize distributed computing and make it accessible to software developers of all skill levels. We’re commercializing Ray, a popular open-source project that's creating an ecosystem of libraries for scalable machine learning. Companies like OpenAI, Uber, Spotify, Instacart, Cruise, and many more, have Ray in their tech stacks to accelerate the progress of AI applications out into the real world. With Anyscale, we’re building the best place to run Ray, so that any developer or data scientist can scale an ML application from their laptop to the cluster without needing to be a distributed systems expert. Proud to be backed by Andreessen Horowitz, NEA, and Addition with $250+ million raised to date. About the role:We are looking for a Test Automation Software Engineer to join our Platform Infrastructure team. You’ll play a key role in ensuring the quality, reliability, and scalability of Anyscale’s distributed systems and developer platform.In this role, you will design and build automated testing frameworks, integration systems, and test pipelines that validate the performance and resilience of our platform — from control plane orchestration to the execution of distributed AI workloads on Ray.You will collaborate closely with infrastructure, cloud platform, and Ray open-source teams to ensure our systems meet the high reliability standards required for production-grade AI workloads.What You’ll DoDesign and develop automated test frameworks for large-scale, distributed systems Build end-to-end, performance, and integration tests for control and data plane components Implement test pipelines to improve release velocity and reliability Develop tools for cluster-level simulation, fault injection, and stress testing of Ray workloads Collaborate with product and infrastructure engineers to ensure new features meet quality and scalability goals Drive improvements in test coverage, observability, and reliability metrics Support and optimize automated testing in Kubernetes, AWS, GCP, and Azure environments Contribute to open-source Ray testing infrastructure and internal infinite laptop product quality Participate in design and architecture discussions, code reviews, and system debuggingWe’d Love to Hear From You If You HaveBachelor’s degree in Computer Science, Engineering, or equivalent practical experience 3+ years of experience in software test automation or infrastructure engineering Strong coding skills in Python (Go experience a plus) Experience building test frameworks or automation for distributed systems, microservices, or cloud-native applications Familiarity with Kubernetes, Docker, and CI/CD systems (GitHub Actions, Jenkins, Buildkite, or similar) Proficiency with cloud platforms (AWS, GCP, or Azure) Knowledge of observability tools such as Prometheus, Grafana, or OpenTelemetry Understanding of networking, security, and system reliability concepts A passion for improving developer experience, product stability, and system performance Why You’ll Love Working at AnyscaleCollaborate with top engineers in distributed systems and AI infrastructure Work on technology used by leading AI companies around the world Meaningful impact on both open-source and enterprise-grade systems Competitive compensation, equity, and benefits packageAnyscale Inc. is an Equal Opportunity Employer. Candidates are evaluated without regard to age, race, color, religion, sex, disability, national origin, sexual orientation, veteran status, or any other characteristic protected by federal or state law. Anyscale Inc. is an E-Verify company and you may review the Notice of E-Verify Participation and the Right to Work posters in English and Spanish