Find AI Work That Works for You

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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. We are looking for an AI Infra engineer to join our growing team. We work with Kubernetes, Slurm, Python, C++, PyTorch, and primarily on AWS. As an AI Infrastructure Engineer, you will work in a hybrid SRE/Dev Engineering capacity, partnering closely with our Infrastructure and Research teams to build, deploy, and optimize our large-scale AI training and inference clusters. Responsibilities Design, deploy, and maintain scalable Kubernetes clusters for AI model inference and training workloads Manage and optimize Slurm-based HPC environments for distributed training of large language models Develop robust APIs and orchestration systems for both training pipelines and inference services Implement resource scheduling and job management systems across heterogeneous compute environments Benchmark system performance, diagnose bottlenecks, and implement improvements across both training and inference infrastructure Build monitoring, alerting, and observability solutions tailored to ML workloads running on Kubernetes and Slurm Respond swiftly to system outages and collaborate across teams to maintain high uptime for critical training runs and inference services Optimize cluster utilization and implement autoscaling strategies for dynamic workload demands Qualifications Strong expertise in Kubernetes administration, including custom resource definitions, operators, and cluster management Hands-on experience with Slurm workload management, including job scheduling, resource allocation, and cluster optimization Experience with deploying and managing distributed training systems at scale Deep understanding of container orchestration and distributed systems architecture High level familiarity with LLM architecture and training processes (Multi-Head Attention, Multi/Grouped-Query, distributed training strategies) Experience managing GPU clusters and optimizing compute resource utilization Required Skills Expert-level Kubernetes administration and YAML configuration management Proficiency with Slurm job scheduling, resource management, and cluster configuration Python and C++ programming with focus on systems and infrastructure automation Hands-on experience with ML frameworks such as PyTorch in distributed training contexts Strong understanding of networking, storage, and compute resource management for ML workloads Experience developing APIs and managing distributed systems for both batch and real-time workloads Solid debugging and monitoring skills with expertise in observability tools for containerized environments Preferred Skills Experience with Kubernetes operators and custom controllers for ML workloads Advanced Slurm administration including multi-cluster federation and advanced scheduling policies Familiarity with GPU cluster management and CUDA optimization Experience with other ML frameworks like TensorFlow or distributed training libraries Background in HPC environments, parallel computing, and high-performance networking Knowledge of infrastructure as code (Terraform, Ansible) and GitOps practices Experience with container registries, image optimization, and multi-stage builds for ML workloads Required Experience Demonstrated experience managing large-scale Kubernetes deployments in production environments Proven track record with Slurm cluster administration and HPC workload management Previous roles in SRE, DevOps, or Platform Engineering with focus on ML infrastructure Experience supporting both long-running training jobs and high-availability inference services Ideally, 3-5 years of relevant experience in ML systems deployment with specific focus on cluster orchestration and resource management   The cash compensation range for this role is $190,000 - $250,000. Final offer amounts are determined by multiple factors, including, experience and expertise, and may vary from the amounts listed above. Equity: In addition to the base salary, equity may be part of the total compensation package. Benefits: Comprehensive health, dental, and vision insurance for you and your dependents. Includes a 401(k) plan.  

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Scale AI’s Public Sector business is growing quickly as government agencies adopt AI to support critical national security, defense, and public sector missions. We’re looking for a hands-on Engineering Manager to lead a team of software engineers building core products and infrastructure for these customers. This role is ideal for someone who thrives in technical environments, enjoys managing teams while staying close to the code, and wants to work on meaningful problems that impact real world operations across the U.S. government. You’ll play a critical role in delivering backend systems, distributed platforms, and ML tooling used by our public sector partners—all while helping your team grow and execute. You’ll split your time between technical planning and execution (50%) and people management and team development (50%), leading a team of 6-8 engineers. You’ll work cross-functionally with product, security, and customer-facing teams to ensure our engineering efforts meet complex federal compliance, security, and performance needs. Must be able to commute to office four times per week: Day to day: 50% Software engineering - technical product planning, and coding 50% Managing a growing team. You will: Recruit a high-performing engineering team.  Drive engineering productivity. Provide guidance, mentorship, and technical leadership to a team of engineers working on Generative AI projects.  Collaborating with cross-functional teams to define, design, and execute strategic roadmap. Navigate and deliver outcomes while navigating through complex public sector compliance requirements and frameworks. Design and implement scalable backend systems for Federal customers, leveraging Scale's modern and cloud-native AI infrastructure Develop distributed systems, data-intensive applications, and machine learning infrastructure to enable real impact for mission owners Build robust and reliable backend systems that can serve as standalone products, empowering customers to accelerate their own AI ambitions Participate actively in customer engagements, working closely with stakeholders to understand requirements and deliver innovative solutions Contribute to the platform roadmap and product strategy for Scale AI's Federal business, playing a key role in shaping the future direction of our offerings Have or ability to obtain a TS/SCI clearance Ideally you’d have: 5+ years of full-time engineering experience, post-graduation 2+ years of prior engineering management or equivalent experience and has managed an engineering team. Have extensive experience in software development Experience scaling products at hyper-growth startups Excitement to work with AI technologies and their applications for the public sector Extremely strong track record as an individual contributor Show a track record of mentoring and leading teams in successful projects Possess excellent communication and collaboration skills, and the ability to translate complex technical concepts to non-technical stakeholders Nice to haves: TS/SCI Clearance Deep technical knowledge of Software Development, willing to get deep into the weeds to solve problems alongside the team. Have experience with AI platforms and technologies, including generative models and LLMs. Have previous experience in government or government facing technology roles Experience with cloud-native technologies, full stack development, data engineering, and ml ops infrastructure Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.The base salary range for this full-time position in the location of Washington DC is:$169,000—$279,000 USDCompensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$188,000—$311,000 USDPlease reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of Washington DC, Texas, Colorado is:$169,000—$279,000 USDPLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, we believe that the transition from traditional software to AI is one of the most important shifts of our time. Our mission is to make that happen faster across every industry, and our team is transforming how organizations build and deploy AI.  Our products power the world's most advanced LLMs, generative models, and computer vision models. We are trusted by generative AI companies such as OpenAI, Meta, and Microsoft, government agencies like the U.S. Army and U.S. Air Force, and enterprises including GM and Accenture. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.  We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision.  PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

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San Francisco · Full-time · In-personAbout SolidroadBuilding something great is addictive. It's like discovering your favorite TV show mid-season, except you're helping write the next episode. It's like unboxing a new gadget, except you're the one designing it. You shape how it feels, how it works, and how people react when they use it.At Solidroad we're solving a big, messy, exciting problem: how do you scale customer support without losing what makes humans amazing? Warmth, empathy, intuition. We're using AI, generative tech, and real-time simulations to make this happen. It's ambitious, difficult, and genuinely new.About the roleWe're looking for a senior designer who sees this role as more than just a job. It should feel like signing up for a job and a hobby. Or a job and a triathlon. Or a job and an advanced art course. You'll shape our design decisions, own major parts of our product experience, mentor your teammates, and push yourself in ways you might not expect. It'll stretch your skills and fill your life in a deeply rewarding way. You'll craft impactful designs (product interfaces, brand systems, marketing assets; it's all on the table), and make critical decisions about user experience, visual direction, and product feel. There will be challenging moments, but also regular moments of genuine "wow, we built that" pride.What you'll actually do day-to-dayDesign the Complete Product Experience Stack Architect and build cohesive design systems spanning our entire product, from initial onboarding flows to complex AI interaction interfaces. You'll create designs that handle thousands of customer conversations daily, ensuring every touchpoint feels intentional, polished, and human.Shape Brand Evolution Across All TouchpointsOwn the visual evolution of our website, marketing assets, pitch decks, and product UI. You'll build scalable design systems that maintain consistency while knowing exactly when to surprise and delight users throughout their journey.Drive Exceptional User Experience Standards Set the design standard for intuitive, beautiful interfaces that make AI feel approachable and powerful. You'll ensure our experiences handle complex multimodal interactions seamlessly, mentoring others to achieve the same standard of craft and attention to detail.Our Team & CultureWe're a small, focused group working full-time in our San Francisco office. We're here five days a week because building something ambitious means collaborating closely, solving problems together, sharing ideas spontaneously, and occasionally challenging each other to padel matches, cold plunges, or karaoke evenings. We're intentional about creating a culture that's mature, supportive, and fun. You'll be joining experienced founders who've done this before, alongside a tight-knit team genuinely excited about building something impactful.We hope youHave at least 4 years of design experience, ideally at a startup (Series A to C), where you've helped ship complex, customer-facing products that real people love using.Bring strong design leadership, including experience mentoring other designers, leading design decisions, or owning significant product areas from concept to launch.Have deep expertise in modern design tools, design systems, or AI/tech product design—bonus points if you've worked on notable or challenging projects we can explore together.The good, the bad, and the honest truthThe highs here are incredibly high, direct collaboration with founders who've done this before, significant ownership, and a product you'll feel deeply proud of. The lows are that you'll need to move fast, navigate ambiguity, and sometimes tackle tough design problems solo. But the reality is that startups are a bit like a sport or an instrument: you invest in it not just because you have to, but because you genuinely want to be better tomorrow than you are today.If that sounds exciting, don't second-guess yourself. Get in touch. Send us something you've designed that you're proud of (portfolio, case studies, anything goes) and a short note about who you are and why this feels right to you. We value enthusiasm, ambition, and curiosity just as much as your design experience.

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About the teamThe Fleet team at OpenAI supports the computing environment that powers our cutting-edge research and product development. We oversee large-scale systems that span data centers, GPUs, networking, and more, ensuring high availability, performance, and efficiency. Our work enables OpenAI’s models to operate seamlessly at scale, supporting both internal research and external products like ChatGPT. We prioritize safety, reliability, and responsible AI deployment over unchecked growth.About the roleAs a software engineer on the Fleet Hardware team, you will be responsible for the reliability and uptime of all of OpenAI’s compute fleet. Minimizing hardware failure is key to research training progress and stable services, as even a single hardware hiccup can cause significant disruptions. With increasingly large supercomputers, the stakes continue to rise.Being at the forefront of technology means that we are often the pioneers in troubleshooting these state-of-the-art systems at scale. This is a unique opportunity to work with cutting-edge technologies and devise innovative solutions to maintain the health and efficiency of our supercomputing infrastructure.Our team empowers strong engineers with a high degree of autonomy and ownership, as well as ability to effect change. This role will require a keen focus on system-level comprehensive investigations and the development of automated solutions. We want people who go deep on problems, investigate as thoroughly as possible, and build automation for detection and remediation at scale.In this role, you will:Build and maintain automation systems for provisioning and managing server fleets.Develop tools to monitor server health, performance, and lifecycle events.Collaborate with clusters, networking, and infrastructure teams.Partner with external operators to ensure a high level of quality.Identify and fix performance bottlenecks and inefficiencies.Continuously improve automation to reduce manual work.You might thrive in this role if you have:Experience managing large-scale server environments.A balance of strengths in building and operationalizing.Proficiency in Python, Go, or similar languages.Strong Linux, networking, and server hardware knowledge.Comfort digging into noisy data with SQL, PromQL, and Pandas or any other tool.Prior hardware expertise is not required for this role.Bonus Skills:Experience with low level details of hardware components, protocols, and associated Linux tooling (e.g., PCIe, Infiniband, networking, power management, kernel perf tuning)Knowledge of hardware management protocols (e.g., IPMI, Redfish).High-performance computing (HPC) or distributed systems experience.Prior experience developing, managing, or designing hardware.Familiarity with monitoring tools (e.g., Prometheus, Grafana).About OpenAIOpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.OpenAI Global Applicant Privacy PolicyAt OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

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Who we areEma is building the world’s largest agentic AI platform to revolutionize enterprise productivity. Our proprietary technology enables companies to delegate repetitive tasks to Ema, the Universal AI employee, unlocking 10x gains in workforce efficiency. Founded by ex-Google, Coinbase, Flipkart, and Okta executives, we bring deep product and scaling expertise to this mission. Our team includes top engineers from Google, Microsoft Research, Facebook, Square, and Coinbase, and alumni of Stanford, MIT, UC Berkeley, CMU, and IITs.We’ve raised over $60M from top-tier investors including Accel, Naspers/Prosus, Section32, SCB10X, Sozo Ventures, Hitachi Ventures, and prominent angels like Sheryl Sandberg, Jerry Yang, and Dustin Moskovitz. Ema is headquartered in Silicon Valley with a second hub in Bangalore, India. This is a hybrid role requiring in-office work three days per week. Role OverviewAs the Revenue Operations Manager, you will play a critical part in scaling and optimizing our revenue engine as we bring cutting-edge generative AI platforms to enterprise customers. Reporting to the Head of Revenue Operations and working closely with the Chief Commercial Officer, you will help ensure a high-quality pipeline across all lead sources, streamline revenue processes, and drive operational excellence to accelerate deal velocity across the funnel.This is a rare opportunity to join an ambitious startup at the Series A stage, build foundational systems from the ground up, and influence go-to-market strategy through data-driven insight and operational rigor. Roles and Responsibilities:Pipeline Management & Forecasting: Partner with the CCO to monitor, forecast, and optimize pipeline health across inbound, outbound, partner, and marketing channels. Ensure data accuracy and visibility into key revenue metrics such as coverage ratios, stage conversion rates, and forecast attainment. Build and maintain dashboards and reporting infrastructure to support real-time decision-making.Deal Acceleration & Funnel Optimization: Analyze sales cycle velocity, identify friction points, and develop scalable solutions to improve win rates and reduce time-to-close. Collaborate with GTM teams to standardize processes for lead qualification, opportunity progression, and handoffs between functions.Systems & Tools: Manage and optimize RevOps tech stack including CRM (e.g., Salesforce, HubSpot), sales enablement, and automation tools. Drive system hygiene, process documentation, and training for the commercial team.Cross-functional Collaboration: Work closely with Sales, Marketing, Customer Success, and Product teams to align on goals, lead routing, territory management, and attribution models. Support annual and quarterly planning processes including territory design, quota setting, and performance analysis.Insights & Strategy: Generate actionable insights from revenue data to inform GTM strategy, campaign targeting, and resource allocation. Identify trends and gaps in the funnel and recommend improvements to messaging, tactics, or segmentation. Qualifications3+ years of experience in Revenue Operations, Sales Operations, or a similar role in a B2B SaaS or tech startup environment.Strong understanding of enterprise sales processes and funnel dynamics.Proficiency in CRM systems (e.g., Salesforce, HubSpot)Demonstrated ability to work cross-functionally and drive alignment among GTM teams.High attention to detail, structured thinking, and a bias for action in ambiguous, fast-paced environments.Preferred QualificationsExperience working in an early-stage (Series A/B) startup environment.Background in selling to enterprise customers or supporting enterprise sales teams.Familiarity with the generative AI space or deep interest in AI/ML technologies.Experience with lead scoring, account-based marketing, or multi-touch attribution.Exposure to forecasting methodologies (e.g., MEDDIC, BANT, or similar frameworks). Ema Unlimited is an equal opportunity employer and is committed to providing equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or genetics.

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About Us At Encord, we're building the AI infrastructure of the future. The biggest challenge AI companies face today is not nearly as glamorous as the outside world may think: it's all about data quality. In fact, the success of any AI application today relies on the quality of a model's training data. For 95% of teams, this essential step is both the most costly, and the most time-consuming in getting their product to market. As ex-computer scientists, physicists, and quants, we felt first-hand how the lack of tools to prepare quality training data was impeding the progress of building AI. AI today is what the early days of computing or the internet were like, where the potential of the technology is clear, but the tools and processes surrounding it are still primitive, preventing the next generation of applications. This is why we started Encord. We are a team of 75, working at the cutting edge of multimodal and visual AI. Encord is backed by top investors, including CRV, Y Combinator, and Next47, leading industry executives like Luc Vincent, former VP of AI at Meta, and other Bay Area AI leaders. We are one the fastest growing companies in our space, and consistently rated as the best product in the market by our customers. We have big plans ahead and are looking for an ambitious Account Executive to join us in building our team. About The Role• We're looking for a strategic, product-focused PML to own and scale messaging for the Encord Platform. Reporting to our VP of Marketing, this is a high-impact role where you'll shape how the world's leading AI & data teams understand and adopt our platform.• Drive innovation at scale — You'll create breakthrough positioning and innovative programmes that help leading companies create new opportunities with AI data infrastructure, working in close partnership with Product, Sales, and executive leadership.• Own competitive differentiation — You'll become the strategic intelligence behind our market positioning, directly engaging with customers, analysts, and industry leaders to synthesise competitive advantages into winning GTM strategies. • Data-driven impact — Leverage analytics to identify opportunities, guide strategic decisions, and measure the performance of your go-to-market activities whilst driving qualified pipeline as our primary success metric. Responsibilities• Execute breakthrough campaigns — Be accountable for the success of high-profile product launches and go-to-market campaigns requiring cross-functional collaboration.• Build strategic positioning — Engage directly with customers, analysts, and industry leaders to gather insights that inform competitive positioning and product strategy decisions. • Create compelling technical narratives — Distill complex AI infrastructure capabilities into clear, persuasive messaging that drives buying decisions across technical and executive buyer personas. • Drive qualified pipeline through data-driven content strategies whilst tracking message adoption, competitive win rates, and sales enablement effectiveness. • Lead thought leadership initiatives — Partner with executive team on industry positioning, conference speaking, and analyst relations that establish Encord as the definitive AI data platform. About you• 5+ years of deep technical product marketing experience with proven success in AI/ML, data science, or cloud computing environments — ideally with early-stage AI startup experience.• You're both strategist and operator — comfortable developing strategic positioning frameworks whilst executing hands-on campaign work that directly impacts pipeline.• Data-driven decision maker — you leverage analytics to guide strategic decisions and measure GTM performance, not just intuition.• Executive presence — comfortable engaging with C-level prospects, industry analysts, and internal leadership on strategic positioning. • Domain expertise in AI/ML infrastructure — understanding of how enterprise AI teams evaluate and adopt data platforms, with ability to speak credibly to technical audiences.• Voice of customer mindset — you thrive on understanding market dynamics and translating complex competitive landscapes into winning sales strategies. What We Offer- Competitive salary, commission and equity in a hyper growth business.- Strong in-person culture: most of our team is in the office 3-5 days a week in our North Beach office.- 18 days annual leave a year + public holidays.- Annual learning and development budget.- Paid trips to visit prospects, attend conferences, host events across UK, Europe and US.- Company lunches twice a week.- Monthly socials & bi-annual off-sites. Encord offers a unique opportunity to be part of a startup with a clear mission and vision. You will get to explore and build services enterprise AI use cases across many different industry verticals such as healthcare, surveillance, retail, agriculture and many more. 

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About Us At Encord, we're building the AI infrastructure of the future. The biggest challenge AI companies face today is not nearly as glamorous as the outside world may think: it's all about data quality. In fact, the success of any AI application today relies on the quality of a model's training data. For 95% of teams, this essential step is both the most costly, and the most time-consuming in getting their product to market. As ex-computer scientists, physicists, and quants, we felt first-hand how the lack of tools to prepare quality training data was impeding the progress of building AI. AI today is what the early days of computing or the internet were like, where the potential of the technology is clear, but the tools and processes surrounding it are still primitive, preventing the next generation of applications. This is why we started Encord. We are a team of 75, working at the cutting edge of multimodal and visual AI. Encord is backed by top investors, including CRV, Y Combinator, and Next47, leading industry executives like Luc Vincent, former VP of AI at Meta, and other Bay Area AI leaders. We are one the fastest growing companies in our space, and consistently rated as the best product in the market by our customers. We have big plans ahead and are looking for an ambitious Account Executive to join us in building our team. About The Role• We're looking for a strategic, product-focused PML to own and scale messaging for the Encord Platform. Reporting to our VP of Marketing, this is a high-impact role where you'll shape how the world's leading AI & data teams understand and adopt our platform.• Drive innovation at scale — You'll create breakthrough positioning and innovative programmes that help leading companies create new opportunities with AI data infrastructure, working in close partnership with Product, Sales, and executive leadership.• Own competitive differentiation — You'll become the strategic intelligence behind our market positioning, directly engaging with customers, analysts, and industry leaders to synthesise competitive advantages into winning GTM strategies. • Data-driven impact — Leverage analytics to identify opportunities, guide strategic decisions, and measure the performance of your go-to-market activities whilst driving qualified pipeline as our primary success metric. Responsibilities• Execute breakthrough campaigns — Be accountable for the success of high-profile product launches and go-to-market campaigns requiring cross-functional collaboration.• Build strategic positioning — Engage directly with customers, analysts, and industry leaders to gather insights that inform competitive positioning and product strategy decisions. • Create compelling technical narratives — Distill complex AI infrastructure capabilities into clear, persuasive messaging that drives buying decisions across technical and executive buyer personas. • Drive qualified pipeline through data-driven content strategies whilst tracking message adoption, competitive win rates, and sales enablement effectiveness. • Lead thought leadership initiatives — Partner with executive team on industry positioning, conference speaking, and analyst relations that establish Encord as the definitive AI data platform. About you• 5+ years of deep technical product marketing experience with proven success in AI/ML, data science, or cloud computing environments — ideally with early-stage AI startup experience.• You're both strategist and operator — comfortable developing strategic positioning frameworks whilst executing hands-on campaign work that directly impacts pipeline.• Data-driven decision maker — you leverage analytics to guide strategic decisions and measure GTM performance, not just intuition.• Executive presence — comfortable engaging with C-level prospects, industry analysts, and internal leadership on strategic positioning. • Domain expertise in AI/ML infrastructure — understanding of how enterprise AI teams evaluate and adopt data platforms, with ability to speak credibly to technical audiences.• Voice of customer mindset — you thrive on understanding market dynamics and translating complex competitive landscapes into winning sales strategies. What We Offer- Competitive salary, commission and equity in a hyper growth business.- Strong in-person culture: most of our team is in the office 3+ days a week.- 25 days annual leave a year + public holidays.- Annual learning and development budget.- Paid trips to visit prospects, attend conferences, host events across UK, Europe and US.- Company lunches twice a week.- Monthly socials & bi-annual off-sites. Encord offers a unique opportunity to be part of a startup with a clear mission and vision. You will get to explore and build services enterprise AI use cases across many different industry verticals such as healthcare, surveillance, retail, agriculture and many more. 

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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.Dataiku’s mission is big: enable all people throughout companies around the world to use data by removing friction surrounding data access, cleaning, modeling, deployment, and more. But it’s not just about technology and processes; at Dataiku, we also believe that people (including our people!) are a critical piece of the equation. Dataiku’s value proposition is unique on the market as it allows people with very different types of expertise & technical skills to collaborate on a single platform, from no-code/business people to the most advanced Data Scientists, and develop end-to-end Analytics, Predictive and Gen AI projects, from exploration to deployment. Mission Description Dataiku today supports 700+ organizations on their AI journey. While our portfolio of customers covers the full span of industries and domains, patterns have emerged, showing particular appetite for our technology within specific industries and domains. We aim to amplify these motions, bring  more focus to high priority market segments, and boost Dataiku’s attractiveness through deep industry and domain understanding combined with platform-embedded solutions to accelerate relevance and value. As part of its development acceleration, Dataiku is looking for an Industry Content Expert to reinforce Dataiku’s Business Solutions team. The Industry Content Experts will be in charge of  Support the development of our industry/domain strategic vision through research, insights collection, structuring and sharing of the right analytics and reports.  Driving content strategy for our industries and solutions assets in strong collaboration with Industry Experts, Account teams  and Marketing team. Leading transversal projects within the team to support the scale of the Business Solutions team and align with all other teams. This role reports to one of the Industry Solutions Directors and, manages an apprenticeship program, and works cross-functionally with different field-facing teams (AEs, SEs, BDRs, CS, SEs, Marketing, Product …).  How you’ll make an impact :  Support the development of our industry/domain strategic vision and drive the resulting content strategy for our industries and solutions assets in strong collaboration with Subject Matter Experts  and  Marketing team Conduct comprehensive research & analysis and summarize key information on industry dynamics, challenges, AI maturity, common AI use cases, and other dimensions relevant to AI Create relevant materials for our go-to-market teams (BDR, Sales, SE,…) to develop our vision of how Dataiku can help companies solve their industry challenges thanks to Data & AI  Create relevant materials to foster the use of Dataiku solutions as powerful accelerators for business outcomes Coordinate with the Marketing team to ensure the timely release of blog posts, web content, and a curated library of assets highlighting our industries and solutions. Lead transversal projects within the team  Define, build, and run transversal projects to scale the impact of the Business Solutions Team (ie. proactively launch new assets/processes/tools to help the team be more efficient) Own and/or contribute to cross-industries projects to support the growth of the Business solutions team.  Your missions will be run in tight partnership with teams across the company, including sales, marketing, customer, services, product management, and technical alliances. Such collaboration requires strong diplomatic skills and the ability to lead small cross-functional project teams. Manage an apprenticeship program   What you need to be successful  Bachelor’s degree in Marketing, Business, or a related field. 3 to 5 years of demonstrated experience leading strategy research, content strategy, development, and execution in a business or technology-focused environment Strong communication, storytelling, and writing skills, with a proven ability to translate technical concepts into compelling narratives (slides, blog posts, go-to-market assets..). Must have a technical mindset -  You are excited to get into Data & AI  and understand how it works, so you can explain it to others and teach them about its benefits. You can demonstrate this mindset through prior experience or examples. Strong appetite for understanding a variety of business processes (internal and external) across several industries and for continuously bridging the gap between business needs and technical answer Very organized, strong project management skills with the ability to lead multiple initiatives simultaneously. Experience in working closely with diverse teams and seniority levels. Fully fluent in English #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 Faculty At Faculty, we transform organisational performance through safe, impactful and human-centric AI. With more than a decade of experience, we provide over 350 global customers with software, bespoke AI consultancy, and Fellows from our award winning Fellowship programme. Our expert team brings together leaders from across government, academia and global tech giants to solve the biggest challenges in applied AI. Should you join us, you’ll have the chance to work with, and learn from, some of the brilliant minds who are bringing Frontier AI to the frontlines of the world. What you'll be doing: As a data scientist, fundamentally your role is to help customers solve their problems using data science and AI; this involves applying a variety of techniques, ranging from simple data analysis to designing and implementing bespoke machine learning algorithms. We have previously worked on a multitude of different technical solutions for our clients, using Bayesian hierarchical modelling to develop an early warning system for the NHS during the COVID-19 pandemic, modelling 3D point cloud data to identify and measure assets for Network Rail, and using NLP to identify topics in market research. Prior knowledge of these techniques is not a prerequisite as we are looking for both experienced candidates and those who want to learn. We anticipate that with our support, you could become an expert in one of these areas even if you don’t yet have much hands-on experience.Additionally, your contribution won't be limited to your technical skills. Using practical and business sense, you will help our excellent commercial team build lasting relationships with our customers, shaping the direction of both current and future projects.As we are a growing business, we need people who take initiative. You will take on more responsibility from day one than you would expect in comparable roles elsewhere, whilst in turn benefitting from the support and mentorship of our more seasoned team members. Data scientists at Faculty take pride in: Solving problems with the best data-science techniques and the scientific methodCommunicating technical content at the right level both internally and to customers.Fostering a collaborative work environment, sharing knowledge, and bringing the best out of everyone in the team.Seeking out innovative ways to help Faculty grow, for example, by developing shared technical and non-technical resources.Who we are looking for: Experience from quantitative academic research (e.g. STEM PhD), professional data-science positions, or a combination of the two.Programming experience as evidenced by earlier work in data science, academic research or software engineering. Although your programming language of choice (e.g. R, MATLAB or C) is not important, we do require the ability to become a fluent Python programmer in a short timeframe.The ability to reason mathematically and an understanding of common statistical tests and/or probability.Experience using common machine learning algorithms as evidenced by previous work or side projects, with the ability to think creatively when an innovative solution is necessary.Experience of manipulating data using the standard libraries for data science (e.g. NumPy, Pandas, Scikit-Learn or equivalents in other programming languages).An appreciation for the scientific method as applied to the commercial world; the ability to turn client requests into problems that can be solved using data science; resourcefulness in overcoming difficulties through creativity, commitment and collaboration; and an inquisitive and questioning mindset in evaluating the performance and impact of models upon deployment.An interest in working alongside our customers and to learn about the commercial aspects of the job.Effective verbal and written communication - you should be comfortable with presenting your work in front of customers.The ability to follow a project plan and stick to deadlines, as well as proactively solve problems that emerge. The following would be a bonus, but are by no means required: Prior commercial experience, particularly if this involved customer-facing work or project management.Research experience (PhD or Postdoc) as evidenced by academic publications and conference talks.Working knowledge of any of following ML domains: NLP, Bayesian inference, computer vision, deep learning, causal modelling, AI safetyExperience creating web apps using e.g. Dash, Flask, React.jsFamiliarity with MLOps including deployment, monitoring and scalability tooling.What we can offer you: The Faculty team is diverse and distinctive, and we all come from different personal, professional and organisational backgrounds. We all have one thing in common: we are driven by a deep intellectual curiosity that powers us forward each day. Faculty is the professional challenge of a lifetime. You’ll be surrounded by an impressive group of brilliant minds working to achieve our collective goals. Our consultants, product developers, business development specialists, operations professionals and more all bring something unique to Faculty, and you’ll learn something new from everyone you meet.

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About Faculty At Faculty, we transform organisational performance through safe, impactful and human-centric AI. With more than a decade of experience, we provide over 350 global customers with software, bespoke AI consultancy, and Fellows from our award winning Fellowship programme. Our expert team brings together leaders from across government, academia and global tech giants to solve the biggest challenges in applied AI. Should you join us, you’ll have the chance to work with, and learn from, some of the brilliant minds who are bringing Frontier AI to the frontlines of the world.We're always on the lookout for talented individuals whose principles and interests align with our own. While we don't have a vacancy open in a specific team at the moment, we are starting to plan for a period of growth in Machine Learning. By registering your application for this position you'll be considered for Senior Machine Learning roles in our Applied AI Consultancy more generally and we'll reach out as these open up. What You'll Be DoingAs a Senior Machine Learning Engineer at Faculty, you'll design, build, and deploy production-grade software, infrastructure, and MLOps systems that leverage machine learning.You'll be engineering-focused, with a keen interest and working knowledge of operationalised machine learning. You have a desire to take cutting-edge ML applications into the real world. You will develop new methodologies and champion best practices for managing AI systems deployed at scale, with regard to technical, ethical and practical requirements. You will support both technical and non-technical stakeholders to deploy ML to solve real-world problems. To enable this, we work in cross-functional teams with representation from commercial, data science, product management and design specialities to cover all aspects of AI product delivery.The Machine Learning Engineering team is responsible for the engineering aspects of our customer delivery projects. As a Machine Learning Engineer, you’ll be essential to helping us achieve that goal by:Building software and infrastructure that leverages Machine Learning;Creating reusable, scalable tools to enable better delivery of ML systemsWorking with our customers to help understand their needsWorking with data scientists and engineers to develop best practices and new technologies; andImplementing and developing Faculty’s view on what it means to operationalise ML software.We’re a rapidly growing organisation, so roles are dynamic and subject to change. Your role will evolve alongside business needs, but you can expect your key responsibilities to include: Working in cross-functional teams of engineers, data scientists, designers and managers to deliver technically sophisticated, high-impact systems.Leading on the scope and design of projectsOffering leadership and management to more junior engineers on the team Providing technical expertise to our customersTechnical DeliveryWho We're Looking ForTo succeed in this role, you’ll need the following - these are illustrative requirements and we don’t expect all applicants to have experience in everything (70% is a rough guide):Understanding of and interest in the full machine learning lifecycle, including deploying trained machine learning models developed using common frameworks such as Scikit-learn, TensorFlow, or PyTorchUnderstanding of the core concepts of probability and statistics and familiarity with common supervised and unsupervised learning techniquesExperience in Software Engineering including programming in Python.Technical experience of cloud architecture, security, deployment, and open-source tools. Hands-on experience required of at least one major cloud platformDemonstrable experience with containers and specifically Docker and KubernetesComfortable in a high-growth startup environment.Outstanding verbal and written communication.What we can offer you: The Faculty team is diverse and distinctive, and we all come from different personal, professional and organisational backgrounds. We all have one thing in common: we are driven by a deep intellectual curiosity that powers us forward each day. Faculty is the professional challenge of a lifetime. You’ll be surrounded by an impressive group of brilliant minds working to achieve our collective goals. Our consultants, product developers, business development specialists, operations professionals and more all bring something unique to Faculty, and you’ll learn something new from everyone you meet.

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About Faculty At Faculty, we transform organisational performance through safe, impactful and human-centric AI. With more than a decade of experience, we provide over 350 global customers with software, bespoke AI consultancy, and Fellows from our award winning Fellowship programme. Our expert team brings together leaders from across government, academia and global tech giants to solve the biggest challenges in applied AI. Should you join us, you’ll have the chance to work with, and learn from, some of the brilliant minds who are bringing Frontier AI to the frontlines of the world.We're always on the lookout for talented individuals whose principles and interests align with our own. While we don't have a vacancy open in a specific team at the moment, we are starting to plan for a period of growth in Data Science. By registering your application for this position you'll be considered for Senior Data Scientist roles in our Applied AI Consultancy more generally and we'll reach out as these open up. What you'll be doing:This role is situated within our Applied AI consultancy, which serves clients across UK Defence, Government, Life Sciences, Energy, Banking and Retail. As a Senior Data Scientist you will lead project teams that deliver bespoke algorithms to our clients and will be responsible for conceiving the data science approach, for designing the associated software architecture, and for ensuring that best practices are followed throughout. You will help our excellent commercial team build strong relationships with clients, shaping the direction of both current and future projects. Particularly in the initial stages of commercial engagements, you will guide the process of defining the scope of projects to come with an emphasis on technical feasibility. We consider this work as fundamental towards ensuring that Faculty can continue to deliver high-quality software within the allocated timeframes. You will play an important role in the development of others at Faculty by acting as the designated mentor of a small number of data scientists, and by supporting the professional growth of data scientists on the project team. The latter includes giving targeted support where needed, and providing step-up opportunities where helpful.Faculty has earned wide recognition as a leader in practical data science. You will actively contribute to the growth of this reputation by delivering courses to high-value clients, by talking at major conferences, by participating in external roundtables, or by contributing to large-scale open-source projects. You will also have the opportunity to teach on the fellowship about topics that range from basic statistics to reinforcement learning, and to mentor the fellows through their 6-week project.Who we're looking for:Senior experience in either a professional data science position or a quantitative academic fieldStrong python programming skills as evidenced by earlier work in data science or software engineering.An excellent command of the basic libraries for data science (e.g. NumPy, Pandas, Scikit-Learn) and familiarity with a deep-learning framework (e.g. TensorFlow, PyTorch, Caffe)A high level of mathematical competence and proficiency in statisticsA solid grasp of essentially all of the standard data science techniques, for example, supervised/unsupervised machine learning, model cross validation, Bayesian inference, time-series analysis, simple NLP, effective SQL database querying, or using/writing simple APIs for models. A leadership mindset focussed on growing the technical capabilities of the team; a caring attitude towards the personal and professional development of other data scientists; enthusiasm for nurturing a collaborative and dynamic cultureAn appreciation for the scientific method as applied to the commercial world; a talent for converting business problems into a mathematical framework; resourcefulness in overcoming difficulties through creativity and commitment; a rigorous mindset in evaluating the performance and impact of models upon deploymentSome commercial experience, particularly if this involved client-facing work or project management; eagerness to work alongside our clients; business awareness and an ability to gauge the commercial value of projects; outstanding written and verbal communication skills; persuasiveness when presenting to a large or important audienceExperience leading a team of data scientists (to deliver innovative work according to a strict timeline) as well as experience in composing a project plan, in assessing its technical feasibility, and in estimating the time to deliveryWhat we can offer you: The Faculty team is diverse and distinctive, and we all come from different personal, professional and organisational backgrounds. We all have one thing in common: we are driven by a deep intellectual curiosity that powers us forward each day. Faculty is the professional challenge of a lifetime. You’ll be surrounded by an impressive group of brilliant minds working to achieve our collective goals. Our consultants, product developers, business development specialists, operations professionals and more all bring something unique to Faculty, and you’ll learn something new from everyone you meet.

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At NiCE, we don’t limit our challenges. We challenge our limits. Always. We’re ambitious. We’re game changers. And we play to win. We set the highest standards and execute beyond them. And if you’re like us, we can offer you the ultimate career opportunity that will light a fire within you.  So, what’s the role all about?  We are seeking a highly skilled Backend Software Engineer to join the GenAI Solutions for CX, our fully integrated AI cloud customer experience platform. On this role you will get the exposure to new and exciting technologies and collaborate with professional engineers, architects, and product managers to create NICE’s advanced line of AI cloud products  How will you make an impact? Design and implement high-performance microservices using AWS cloud technologies  Build scalable backend systems using Python  Lead the development of event-driven architectures utilizing Kafka and AWS Firehose  Integrate with Athena, DynamoDB, S3, and other AWS services to deliver end-to-end solutions  Ensure high-quality deliverables with testable, reusable, and production-ready code  Collaborate within an agile team, influencing architecture, design, and technology adoption  Have you got what it takes?  5+ years of backend software development experience  Strong expertise in Python/C#   Deep knowledge of microservices architecture, RESTful APIs, and cloud-native development  Hands-on experience with AWS Lambda, S3, Athena, Kinesis Firehose, and Kafka  Strong database skills (SQL & NoSQL), including schema design and performance tuning  Experience designing scalable systems and delivering enterprise-grade software   Comfortable working with CI/CD pipelines and DevOps practices  Passion for clean code, best practices, and continuous improvement  Excellent communication and collaboration abilities  Fluent in English (written and spoken)   What’s in it for you?  Join an ever-growing, market-disrupting global company where the teams – comprised of the best of the best – work in a fast-paced, collaborative, and creative environment! As the market leader, every day at NICE is a chance to learn and grow, and there are endless internal career opportunities across multiple roles, disciplines, domains, and locations. If you are passionate, innovative, and excited to constantly raise the bar, you may just be our next NICEr!   Enjoy FLEX!  At NICE, we work according to the NICE-FLEX hybrid model, which enables maximum flexibility: 2 days working from the office and 3 days of remote work, each week. Naturally, office days focus on face-to-face meetings, where teamwork and collaborative thinking generate innovation, new ideas, and a vibrant, interactive atmosphere.   Requisition ID: 7981 Reporting into: Tech Manager Role Type: Individual ContributorAbout NiCE NICE Ltd. (NASDAQ: NICE) software products are used by 25,000+ global businesses, including 85 of the Fortune 100 corporations, to deliver extraordinary customer experiences, fight financial crime and ensure public safety. Every day, NiCE software manages more than 120 million customer interactions and monitors 3+ billion financial transactions. Known as an innovation powerhouse that excels in AI, cloud and digital, NiCE is consistently recognized as the market leader in its domains, with over 8,500 employees across 30+ countries. NiCE is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, age, sex, marital status, ancestry, neurotype, physical or mental disability, veteran status, gender identity, sexual orientation or any other category protected by law.  

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As a test specialist and quality assurance engineer, you will lead the testing and quality assessment of several AI software products at Gauss Labs. As a proven QA/Test Engineer, you will solve challenging problems in a fast-changing product and startup environment. You will work with cross-engineering teams, including software engineers and data scientists, in an agile, flexible, and collaborative manner to contribute to developing innovative AI products. You will build a fast and stable product release cycle in a DevOps environment, analyze new concept products to establish test strategies, and devise practical test plans. You will ensure reliable test coverage to provide reliable reports to your team and customers. If you have an unquenchable curiosity for quality and demonstrable skills, you are the right person for this position! ResponsibilitiesDesign, develop, and execute comprehensive test strategies and test plansDefine key metrics for measuring and reporting on the quality of software products and test effectivenessCreate, maintain, and execute test cases, test scripts, and test scenarios for various software components, including functional, regression, performance, and security testingOwn the design and implementation of tests that will help in the end-to-end quality of major deliverables, working closely with multiple engineers and teams to execute themLeverage the existing automation framework to design, create, and maintain an automated regression test suiteStay up-to-date with industry trends, emerging technologies, and best practices in QA and testing, and apply this knowledge to continuously improve testing processesUnderstand software internals, debug problems using log files, and write automated tests with scripts and/or user-level automated toolsCreate and report test execution status summary along with defect informationContribute to the continuous improvement of the QA process, suggesting and implementing process enhancementsCollaborate and influence cross-functional teams, including developers, product managers, and project managers, to understand software quality requirements and design effective test strategiesAttend grooming and planning meetings for all teams as part of the development teamEnsure work is consistently high quality and incorporates best practices Basic QualificationsBS in Computer Science, Engineering, and related fields5+ years of experience in testing or quality assurance engineeringExperience with at least one product or service release cycle utilizing manual or automated testingExperience in test engineering using one or more test frameworks: Pytest, Playwright, Selenium, Cypress, etc.Experience at least one language scripting or coding that can be applied in the fieldFamiliar with CI/CD pipeline and DevOps environmentExperience designing and planning test conditions, test scripts, and test datasets to ensure appropriate and adequate coverage and control Preferred QualificationsExperience with testing web services as well as REST or GraphQL APIsPreference for these language experiences: Python, TypeScript, GoLangExperience in gathering test requirements to create detailed test plans and define quality metrics to measure product qualityExperience working closely with development and business teamsA person who is comfortable with self-motivation to get jobs done

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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 looking for an experienced product manager to join our small team revolutionizing the way people navigate the internet and the wider world. You will be trusted to envision the future of web agents and other novel agentic experiences, working with products from ideation to execution. You will work closely with our Agents team and other product teams to define, shape, and ship new agentic experiences. In July 2025, Perplexity shipped Comet, the world’s first agentic browser—and we’re just getting started. Your work will be instrumental in Perplexity’s quest to actualize our users’ intent, however and wherever expressed. The ideal candidate should have strong communication and writing skills, the ability to envision innovative technology, and empathy for consumers. For this role, we are particularly seeking candidates with both enthusiasm and expertise in either agentic AI or the environments in which AI agents will operate (e.g., web/browser). Responsibilities Serves as PM for a highly technical and specialized product team building the future of agents on the internet. Envision new experiences and deliver a long-term vision for Perplexity’s agents across different product surfaces (particularly web/browser) and across the complexity spectrum. Understand the levers for product-led growth and retention. Versatility to fulfill the most urgent unmet needs of the moment. Move with clarity and conviction to make difficult product decisions. Qualifications Strong experience with product management for rapidly-growing teams (founders welcome!) Strong (but not unshakeable) product intuitions around browsers, mobile, and other product surfaces ripe for agentic AI. Strong experience working with data and metrics. Experience with building data driven flywheels for iterative improvement. Thrives in a small, agile team: has initiative and desire for ownership. 5+ years of highly relevant technical and/or product experience. The cash compensation range for this role is $210,000 - $280,000. Equity: In addition to the base salary, equity is part of the total compensation package. Benefits: Comprehensive health, dental, and vision insurance for you and your dependents. Includes a 401(k) plan.    

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We're hiring a Content Engineer (contract or internship) to build cool projects with Create. Your job will be to build projects in React or React Native that wow the Internet and help train our AI agent. You'll sit at the intersection of the AI and marketing teams. Your projects will feed into model training runs for our AI code writing agent. And we'll feature stand out projects you create to our users as examples of what you can build and how. You'll build most of your projects with Create's AI agent via prompting; it generates code for full stack web and mobile apps so prior experience as a React / React Native developer or UX designer will help you move faster. Why this role existsMany people meet Create for the first time through great example apps (templates, demos, galleries, etc). We also use well structured projects to train the models that power Create's AI agent on particular design or code patterns we want it to nail for different use case. The faster we ship stunning, real apps with Create → the more app building examples we have → the faster our AI learns → the faster our users succeed. Projects you create in this role will live in three places: Templates – help kick‑start new users.AI training set – train models to sharpen our codegen agentMarketing & Social – power tweets, videos, and launch posts What you’ll doBuild full‑stack apps with Create in hours, not weeks.Polish the last 10% in code so every pixel sings and everything works.Document the build so anyone can learn from it on their ownPair with the AI team to turn your projects into training data for different goalsJam with marketing to create killer apps to showcase product launches (gif, tweet thread, blog, video)You’ll thrive if you:Have strong full stack dev experience (JS/TS, React/React Native/Next/Expo, Node or similar).Love moving from blank page → shipped product in a day.Strong attention to detail & aesthetics – you notice off‑by‑1 px.Ship fast Strong prompt voodoo - you're good at writing specific, actionable prompts to get what you want from AI. Are psyched to work in‑person, 5 days a week, downtown SF. We move fast and prioritize tight feedback loops. Nice‑to‑havesPrior indie‑hacker, creator, or founder experience.Shipped projects with real users LogisticsType: month to month contract or internship (extension or FT possible).Hours: 40 hrs/week, on‑site preferred for faster feedback; remote possible. How to applyFill out our application form. Include any links to projects you've built.We’ll reply within 48 hrs with next steps (light take‑home or interview)

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At NiCE, we don’t limit our challenges. We challenge our limits. Always. We’re ambitious. We’re game changers. And we play to win. We set the highest standards and execute beyond them. And if you’re like us, we can offer you the ultimate career opportunity that will light a fire within you.    So, what’s the role all about?  The Professional Services Engineer is a customer-facing, billable role responsible for delivering specialized expertise and tailored solutions for NICE products and services. This role focuses on the implementation, configuration, and optimization of solutions such as Feedback Management, Salesforce Integrations, and Text Analytics for enterprise clients. It combines both technical and business responsibilities, requiring direct engagement with clients to understand their requirements, provide consultative support, and deliver innovative, value-driven solutions How will you make an impact?   Technical Implementation: Lead the end-to-end implementation and deployment of Feedback Management, Salesforce Connector and Text Analytics solutions for enterprise clients. Provide technical consultation and support during implementation phases, including data migration, custom scripting (Python), and API integrations. Translate business requirements into technical configurations using best practices and product capabilities. Conduct detailed solution design, system configuration, integration, and testing. Partner with cross-functional teams (Product, Engineering, Support, CSMs) to ensure successful delivery and handoff. Develop and maintain implementation documentation, including architecture diagrams, configuration guides, and SOPs. Deliver product training and enablement to clients and internal stakeholders. Continuously contribute to the enhancement of delivery methodologies and reusable assets. Project Management: Collaborate with Project Managers to design and oversee end-to-end project rollouts. At times act as the Project Manager for your own project. Manage customer expectations and communicate project status, risks, and mitigation plans clearly and proactively. Manage system lifecycle development, change control processes, and risk analysis for enterprise solutions. Business Consulting: Provide subject matter expertise on NICE CXone FM, UH, Connector and Text Analytics products during client consultations. Conduct business analysis to assess user needs, design tailored solutions and provide industry guidance. Regular interaction with client teams to understand pain points, present solutions, and align on progress Leadership and Customer Handling: Once trained, mentor and lead project teams, sharing expertise and fostering a collaborative environment. Develop documentation and processes for emerging digital products from R&D teams. Regularly interact with client teams to understand needs, address pain points, and align on deliverables. Work closely with SMEs, admins, and business leads; share updates and drive KM adoption. Translate technical concepts into business terms; manage expectations and clarify scope. Have you got what it takes?   Bachelor’s degree in technical (e.g., Computer Science, Information Systems, Electrical Engineering) or business field (e.g., Marketing, MIS) or equivalent work experience. 5+ years of professional experience, with 1+ years in digital channels or AI software applications preferred. Proven expertise in: Technical configuration and if required Scripting for Custom solutions. ETL tools, RDBMS knowledge and building SQL queries. CRM integrations, APIs, and other ecosystem technologies. Best practices for contact center operations and KPIs. Familiarity with: NPS, Analytics and salesforce, and automation principles. Industry trends and emerging technologies in FM and customer engagement. You will have an advantage if you also have:  Analytical and inquisitive mindset. Team-oriented with strong interpersonal skills. Early adopter of innovative technologies. Strong sense of accountability and ownership.  Professional communication, behavior and demeanor. What’s in it for you?  Join an ever-growing, market disrupting, global company where the teams – comprised of the best of the best – work in a fast-paced, collaborative, and creative environment! As the market leader, every day at NiCE is a chance to learn and grow, and there are endless internal career opportunities across multiple roles, disciplines, domains, and locations. If you are passionate, innovative, and excited to constantly raise the bar, you may just be our next NiCEr!    Enjoy NiCE-FLEX!   At NiCE, we work according to the NiCE-FLEX hybrid model, which enables maximum flexibility: 2 days working from the office and 3 days of remote work, each week. Naturally, office days focus on face-to-face meetings, where teamwork and collaborative thinking generate innovation, new ideas, and a vibrant, interactive atmosphere.  Requisition ID: 7891 Reporting into: Tech Manager   Role Type: Individual Contributor About NiCE NICE Ltd. (NASDAQ: NICE) software products are used by 25,000+ global businesses, including 85 of the Fortune 100 corporations, to deliver extraordinary customer experiences, fight financial crime and ensure public safety. Every day, NiCE software manages more than 120 million customer interactions and monitors 3+ billion financial transactions. Known as an innovation powerhouse that excels in AI, cloud and digital, NiCE is consistently recognized as the market leader in its domains, with over 8,500 employees across 30+ countries. NiCE is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, age, sex, marital status, ancestry, neurotype, physical or mental disability, veteran status, gender identity, sexual orientation or any other category protected by law.  

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Why Mintlify?We're on a mission to empower builders. Massive reach: Our docs platform serves 100 million+ developers every year and powers documentation for 10,000+ companies, including Anthropic, Cursor, Windsurf, Scale AI, X, and over 20% of the last YC batch.Small team, huge impact: We’re only 25 people today, backed by $22 million in funding, each new hire shapes the company’s trajectory.Culture of slope over y-intercept: We value learning velocity, grit, and unapologetically unique personalities.We grew in value faster than headcount and we’re looking to align the two quickly.What you'll work on hereBackend software engineering & infrastructure engineering to support the AI and agentic flowsRAG/data ingestion pipelinesPrompt engineeringModel performance and evalsWhat you bring to the table4+ years of software development experienceDeep customer empathy, including the desire to speak with customers and make product decisionsStrong ability to learn new technologies and be productive in unfamiliar domainsPassion for tasteful user experienceStrong ownership mentalityDeep experience in LLM fine-tuning, RAG systems, and AI automationsBonus points: Previously founded a startup. Extra bonus for a dev-tools startupWhy you should join our engineering teamYou're all about finding the intersection between what excites you and business priorities, and you're excited for your role to evolve accordinglyYou crave a mix of collaborative and heads-down builder time, and are excited to contribute to a small-but-mighty teamYou're looking for an environment where the best ideas win and acknowledge when you're wrongCompany Benefits:Competitive compensation and equity | Free Waymos20 days paid time off every year | Health, dental, vision401k or RRSP | Free lunch and dinners$420/mo. wellness stipend | Annual team offsite

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Why Mintlify?We're on a mission to empower builders. Massive reach: Our docs platform serves 100 million+ developers every year and powers documentation for 10,000+ companies, including Anthropic, Cursor, Windsurf, Scale AI, X, and over 20% of the last YC batch.Small team, huge impact: We’re only 25 people today, backed by $22 million in funding, each new hire shapes the company’s trajectory.Culture of slope over y-intercept: We value learning velocity, grit, and unapologetically unique personalities.We grew in value faster than headcount and we’re looking to align the two quickly.What you'll work on hereBackend software engineering & infrastructure engineering to support the AI and agentic flowsRAG/data ingestion pipelinesPrompt engineeringModel performance and evalsWhat you bring to the table1+ year of software development experienceDeep customer empathy, including the desire to speak with customers and make product decisionsStrong ability to learn new technologies and be productive in unfamiliar domainsPassion for tasteful user experienceDeep experience in LLM fine-tuning, RAG systems, and AI automationsBonus points: Previously founded a startup. Extra bonus for a dev-tools startupWhy you should join our engineering teamYou're all about finding the intersection between what excites you and business priorities, and you're excited for your role to evolve accordinglyYou crave a mix of collaborative and heads-down builder time, and are excited to contribute to a small-but-mighty teamYou're looking for an environment where the best ideas win and acknowledge when you're wrongCompany Benefits:Competitive compensation and equity | Free Waymos20 days paid time off every year | Health, dental, vision401k or RRSP | Free lunch and dinners$420/mo. wellness stipend | Annual team offsite

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About Appier Appier is a software-as-a-service (SaaS) company that uses artificial intelligence (AI) to power business decision-making. Founded in 2012 with a vision of democratizing AI, Appier’s mission is turning AI into ROI by making software intelligent. Appier now has 17 offices across APAC, Europe and U.S., and is listed on the Tokyo Stock Exchange (Ticker number: 4180). Visit www.appier.com for more information. Visa Support  This position is based in Tokyo, Japan. For international candidates, Appier's Japan office provides visa sponsorship to ensure a smooth transition to Japan. About the Ad Cloud Bidding Team The Ad Cloud Bidding Team is at the forefront of Appier's AI-driven advertising solutions. We develop high-throughput and low-latency systems that deliver superior ROAS (Return On Ad Spend) and maximize campaign ROI for clients worldwide. Our services optimize budget allocation across premium, high-intent inventories, and process billions of requests per day with millisecond precision. You will use advanced C++ technologies to build robust and scalable infrastructure that is foundational to our AI decision-making engines in a fast-paced, data-intensive environment where performance is paramount. About the role Software engineers(Ad Cloud Bidding) at Appier Tokyo office build a wide range of platforms and services that interconnect data and AI with our customers and users. As a Senior/Staff Software Engineer, C++ Backend Development, you will play a critical role in designing and building scalable and performant backend architecture, owning and driving the technical roadmap for sizable projects or services. You will also have the opportunity to mentor junior engineers and facilitate high-performance agile teams collaborating with cross-functional teams. The final job title (Senior or Staff) will be determined based on the candidate's experience, interview performance, and overall fit for the team. About you [Minimum qualifications] 3-5+ years of experience in software development Proficient in modern C++ programming (C++11 and later) Familiar with Unix/Linux environments Solid understanding of system programming Experience in developing low-latency (millisecond-scale) and high-throughput (>1K QPS per machine) systems Experience in service optimization and performance tuning Proactive, good interpersonal and problem-solving skills [Preferred qualifications] Experience in modern build systems Experience in operation automation tools Experience in cloud services Good understanding of monitoring and alert system #LI-SW1 #LI-Hybrid

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At Replicant, we believe AI should work for people, starting with customer service. That’s why we built a platform that helps contact centers resolve more requests, proactively identify issues, and improve agent performance with AI-powered conversation intelligence and AI agents that act like your best reps.Our AI agents handle millions of calls every month for Fortune 500 companies and high-growth innovators. From processing payments to booking appointments and authenticating users, they help customers get what they need instantly, 24/7. Meanwhile, our real-time conversation insights help contact center leaders coach better and improve every interaction.We’re leading the shift from legacy systems to AI-first service, powered by large language models (LLMs)and designed for enterprise scale, security, and empathy. If you’re excited by the potential of LLMs, voice AI, and building category-defining technology with a kind, ambitious team, you’ll love it here.We’re looking for a Quality Engineer with strong automation and communication skills to efficiently test and build quality checks for our customer-facing AI Agents. You will have the opportunity to improve our processes where necessary, implement clean communication between various internal and external systems, explore Conversational UIs, and help level up our growing team.What You’ll DoSolving interesting challenges as not all of the problems we encounter have frameworks or well-defined solutionsOwnership; we know that we don’t know everything and want your help to be part of the solutionsWork collaboratively with developers, product managers, and customers to ensure our products are the best they can beUnderstand conversational designs and create acceptance criteria for developersWork as an integrated member of a fully remote, cross-functional agile teamIdentify, document, track and help ensure resolution of issues by working closely with the development team through multiple phases of product life cycleTriage & track customer defects through RocketLaneParticipate in regular team meetings and offer support where needed while driving initiatives to increase quality within the organizationTrack time and effort on ongoing tasks and provide regular updatesMay include creating automated tests for some of the servicesPartake in testing outside of the team developing AI Agents when requiredWhat You’ll BringStrong team player - we work in small product teams that work very closely together and are constantly collaborating in order to move as fast as possibleA strong sense of ownership and customer empathy — we work very closely with our internal teams and external customers. Maintaining positive working relationships with them is paramount to the success of our businessOpen minded and independent thinker who likes to own and solve challenging and complex problemsWillingness to learn new skills, technologies, and frameworks as neededYou are interested in exploring the nuance and aesthetic of conversationsLI-RemoteFor 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.