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Location: Hybrid - San Francisco About Vercel: Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience. Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide. About the role The Scheduled Tasks team builds the platform primitives that let applications and agents run work now, later, or for a long time. We own Vercel Workflows, Queues, and Cron: the systems developers use to build long-running, event-driven, and scheduled applications. You will join a team working at the intersection of developer experience and distributed systems. Together, we are building and scaling the products that make it straightforward for developers to coordinate background work, move messages between services, and schedule work with confidence. You will collaborate closely with engineers across Vercel to make these powerful capabilities feel simple, composable, and native to the platform. What you'll do Design, build, and operate platform capabilities across Workflows, Queues, and Cron. Help developers build applications and agents that coordinate background, event-driven, and scheduled work. Build APIs, SDKs, and tooling that make it easy to define, run, and manage durable work at scale. Work on the distributed-systems foundations behind scheduling, message delivery, execution, retries, and state. Partner with product, developer experience, and infrastructure teams to turn customer needs into clear, useful developer primitives. Raise the engineering bar through thoughtful design reviews, well-tested code, production ownership, and clear technical communication. Engage with developers and the open-source community to understand where background jobs, queues, and scheduling create friction—and use that feedback to improve the platform. What you need You have 5+ years of experience building and operating distributed systems, developer platforms, or cloud infrastructure. Experience with TypeScript/JavaScript and open-source infrastructure or developer tools is a plus. You are comfortable working across APIs, runtimes, storage, networking, and production operations. You have experience with one or more of: job queues, schedulers, workflow orchestration, event-driven systems, state machines, stream processing, or durable execution. You understand the tradeoffs behind delivery guarantees, retries, idempotency, concurrency, and fault tolerance—and can turn those tradeoffs into usable product primitives. You write high-quality, well-tested code and enjoy solving complex technical problems. You communicate clearly, collaborate well across teams, and help a growing team converge on strong technical decisions. Benefits & Compensation: Competitive compensation package, including equity. Inclusive Healthcare Package. Learn and Grow - we provide mentorship and send you to events that help you build your network and skills. Flexible Time Off. We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed. The base pay range for this role is $196,000.00 - $312,000.00. Actual salary will be based on job-related skills, experience, and location. Compensation outside of San Francisco may be adjusted based on employee location. The total compensation package may include benefits, equity-based compensation, and eligibility for a company bonus or variable pay program depending on the role. Your recruiter can share more details during the hiring process. #LI-KR1 Disclosures: Privacy: Please review our Job Applicant Privacy Policy for more information on how we handle your data. Equal Opportunity: Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don't necessarily check every box on the job description.

Location: Bangalore, India Workplace: remote Turn strategy into results. You'll own ad campaigns end-to-end — launching, optimizing, and troubleshooting across platforms — while turning data into insights that sharpen every next move. This is where precision meets impact. Be the Architect of Campaigns: Take the lead in executing and managing ad campaigns across multiple platforms, ensuring they resonate with our audience and deliver results. ‍ Unlock Insights: Prepare in-depth reports and metrics that not only showcase campaign performance but also offer actionable insights and recommendations for continuous optimization. ‍ Problem Solver Extraordinaire: Troubleshoot and resolve any ad serving or performance issues, keeping campaigns on track and clients happy. ‍ Dashboard Management: Update and maintain engaging dashboards that track the progress of campaigns, monitor key performance indicators (KPIs), and spotlight areas for improvement. ‍ Collaborate and Conquer: Work closely with senior managers and team leads, providing support to streamline workflows and drive the team's success. Experience: At least 2-3 years in a media or digital agency, where you've honed your skills in a fast-paced environment. DSP Expertise: Proficiency in DV360, The Trade Desk, Amazon DSP, other DSPs. Candidates from performance marketing platforms backgrounds can also be considered if they have the motivation to learn programmatic. Analytical Mindset: A knack for crunching numbers paired with an intuitive approach to problem-solving. Team Spirit: You're a collaborative team player who thrives in a supportive environment.

Location: Remote US At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. About the Revenue Team: The Revenue team drives Affirm’s top-line growth through strategic partnerships, pricing, and go-to-market execution. We acquire, retain, and expand merchant relationships across eCommerce, in-store, telesales, and the Affirm app. The team leads onboarding, relationship management, and performance optimization to help partners succeed. We deliver value-added solutions, drive adoption, and support long-term business growth by connecting merchants and consumers through Affirm’s products. About the Role: Affirm is looking for an experienced Director of Sales to lead four Account Executives focused on signing platform partnerships, including ISVs and SaaS providers, that expand Affirm’s reach with SMB merchants. Reporting to the Senior Director, ISV Partnerships, you will shape our high-velocity sales motion, build executive relationships, lead complex commercial opportunities, and translate strategy into measurable business results. What You’ll Do: Lead, coach, and develop four Account Executives, creating clear accountability for performance while strengthening individual execution and team culture. Define and evolve Affirm’s ISV go-to-market strategy, including where we focus, how we cover the market, and how we win and scale ISV partnerships. Own outcomes from opportunity creation through signature, integration, launch, and early merchant activation. Hold cross-functional partners accountable to shared milestones and resolve escalations. Lead strategic platform opportunities and complex negotiations, building executive relationships, setting the narrative, surfacing risks early, and helping the team navigate multi-stakeholder deals. Bring rigor to prospecting, pipeline management, forecasting, and deal strategy to improve execution and accelerate growth. Represent the platform ecosystem internally, bringing partner insights, merchant needs, and competitive trends into commercial strategy, product development, and roadmap decisions. Own talent planning, hiring, and team calibration to build and sustain a high-performing sales organization. What We Look For: 10+ years of sales experience, including at least 5 years leading high-performing sales teams. A proven record of consistently exceeding revenue goals in high-growth environments. Deep expertise hunting and closing new business across complex, multi-stakeholder organizations. Channel sales experience. Experience selling to ISVs, software providers, vertical SaaS companies, or similar platform businesses. Experience in fintech or payments. Experience in embedded finance and/or BNPL is a plus. A strong understanding of the SMB market and platform-based ecosystems. Demonstrated strength in coaching, team building, and performance management. A strategic, hands-on approach, with the ability to lead complex deals while building scalable sales processes. Excellent communication, negotiation, and relationship-building skills. Pay Grade - M Equity Grade - 12 Employees new to Affirm typically come in at the start of the pay range . Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, which includes the annual base pay and the sales incentive target. Base pay is part of a total compensation package that may include equity rewards, monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents.) USA On Target Earnings (CA, WA, NY, NJ, CT) per year: $370,000 - $490,000 USA On Target Earnings (all other U.S. states) per year: $328,000 - $448,000 Please note that visa sponsorship is not available for this position. #LI-Remote Remote-first with flexibility built in Affirm is proud to be a remote-first company. Most roles can be done from almost anywhere within the country of employment. Some positions may occasionally require in-person work at an Affirm office, and a few are office-based due to the nature of the work. All new hires will be invited to attend an in-person onboarding experience. Benefits designed for you Our benefits reflect our commitment to care, transparency, and flexibility. Here are a few highlights: Health coverage at no cost: We cover 100% of premiums for employees and their dependents. Spending stipends: Monthly stipends support your tech setup, and the ability to choose health and wellness options that are right for you. Time off to recharge: Flexible time off and generous holiday calendars help you rest when you need to. Own a piece of what you build: Our employee stock purchase plan (ESPP) lets you buy Affirm stock at a discount. We’re committed to providing an inclusive interview process, including accommodations for candidates with disabilities. If you need support, we’re happy to help. For positions based in San Francisco or Los Angeles: Affirm considers qualified applicants with arrest and conviction records, as required by law. By clicking "Submit Application," you acknowledge that you have read Affirm's Global Candidate Privacy Notice and consent to the use of your personal information as described.

Location: Paris Workplace: Hybrid ABOUT VOODOO Founded in 2013, Voodoo is a tech company that creates mobile games and apps with a mission to entertain the world. Gathering 800 employees, 7 billion downloads, and over 200 million active users, Voodoo is the #3 mobile publisher worldwide in terms of downloads after Google and Meta. Our portfolio includes chart-topping games like Mob Control and Block Jam, alongside popular apps such as BeReal and Wizz. TEAM The Product, Engineering & Data teams are Voodoo's central tech hub. We build innovative tech products that allow us to stay ahead of the game in the mobile industry. Part of our focus is to provide a state of the art growth-engine to distribute and scale our apps & games. By joining the team, you will take part in this journey of designing and building long-term products which help our business teams in delivering values to millions of future users! Some examples of our products include our B2B platform used by hundreds of studios around the world to ideate and test their game prototypes, as well as an automated bidding platform that predicts the full value users will generate using state of the art ML algorithms. ROLE As the Product Manager - Advertising Solutions, you will play a crucial role in the growth and success of our direct advertising capabilities. Your primary focus will be to optimize and expand our ad solutions, driving revenue while maintaining a seamless experience for our players and advertisers. You will be responsible for growing our mobile gaming vertical from the end-to-end strategy to the development and execution, collaborating closely with cross-functional teams to ensure we meet our business goals. Role is based in our Paris headquarters with 1-2 remote days per week possible. - Drive  and own product vision and roadmap, guide feature prioritization and scope, in concert with cross functional teams. - Develop iteratively, working with our growth and tech teams (Developers, Product Managers and Data Analysts) to ideate, measure impact, and learn from previous releases to inform the roadmap. - Dig in the technical aspect together with your tech team to understand tradeoffs and make informed design decisions. - Daily involvement in project development and product delivery (you will be both the product owner and the product manager). - Analyze and interpret ad solutions performance data to identify trends, opportunities, and areas for improvement. - Establish and maintain relationships with key external partners, including MMPs, ad exchanges, and mediation platforms. PROFILE - Proven experience of 5+ years as a Product Manager, with 3+ years in Adtech. - Familiar with Bidder, DSP, SSP, ad exchanges, MMPs and ad servers - Great communicator and a team player, who likes to drive results together. - A problem-solver by nature – inventive thinker that will provide insightful, innovative solutions to any problem. - Good tech culture and technical knowledge (you’re familiar with APIs, frontend and backend components) for someone who doesn’t code. - You are fluent in English, French is a plus - Interest in gaming. BENEFITS - Competitive salary upon experience - Comprehensive relocation package (including visa support) - Swile restaurant lunch voucher - Gymlib sports subscription (100% taken in charge by us) - Sidecare healthcare coverage for your family - Child day care facilities (Les Petits Chaperons rouge) - Wellness activities in our Paris office - Creative hackathon - Unlimited vacation policy - Full stack desk and computer equipment upon your request - Cooperate within a globally diverse team and a rich cross-cultural work environment

Location: US Remote; New England; Atlanta; North Carolina; New York; Boston; Florida Cyberhaven is looking for a Chief of Staff for Engineering to collaborate and perform as an operating partner and force multiplier for engineering leadership, driving operating cadence, cross-organizational execution, and data-driven decision making across the entire engineering org. This role is accountable for turning strategic priorities into clear execution plans, and for giving leadership the visibility, metrics, and follow-through they need to run engineering like a well-oiled machine. This is a hybrid role that blends program management, project management, and executive operations: the person in this role will sit close to engineering leadership, represent their priorities across the org, and be the connective tissue between strategy and day-to-day execution. Influence and impact come from judgment, trust, and cross-functional credibility rather than direct authority. This role also serves as the primary architect of engineering leadership's monthly and quarterly business reviews, all-hands content, org planning, and leadership offsites providing decision support, surfacing risk, and driving follow-through on the company's highest-priority engineering initiatives. This role goes well beyond traditional chief of staff work. It requires strong executive presence to represent leadership credibly in front of the org and external stakeholders, deep comfort with data and metrics to turn fragmented signals into clear decision support, and an AI-forward mindset to automate the reporting and operating mechanisms that let Cyberhaven scale how it plans, tracks, communicates, and reviews its work. WHAT YOU'LL DO STRATEGIC PARTNERSHIP AND EXECUTIVE SUPPORT - Act as a trusted advisor and thought partner to engineering leadership, helping translate strategic priorities into clear execution plans, success criteria, and operating mechanisms across the org - Own the engineering leadership operating cadence, including staff meetings, monthly and quarterly business reviews, org planning, and leadership offsites, setting agendas, preparing materials, and driving follow-through on decisions and action items - Represent engineering leadership's priorities across the organization, ensuring alignment between engineering, product, and go-to-market teams on key initiatives - Prepare executive-facing communications, board and all-hands content, and cross-functional updates on behalf of engineering leadership - Act as a sounding board and extension of leadership on sensitive or ambiguous organizational topics, including headcount planning, org design, and prioritization tradeoffs - Build trust and credibility across engineering, product, and business stakeholders to effectively drive alignment without formal authority PROGRAM AND PROJECT MANAGEMENT - Own end-to-end planning, execution, and coordination across complex, multi-team programs and time-sensitive strategic projects for engineering leadership - Improve predictability in Cyberhaven's release and planning model by tracking scope changes, readiness risks, and cross-team dependencies - Build and maintain review cadences, status updates, and action follow-up systems that surface execution risk and areas needing intervention across teams and programs - Support high-priority or ambiguous engineering initiatives that need additional structure, executive visibility, and follow-through, often stepping in where no clear owner exists - Improve data hygiene and governance in systems like Jira and related planning artifacts so that ownership, status, and progress signals are reliable DATA AND METRICS-DRIVEN OPERATIONS - Define and standardize success metrics across quality, release health, velocity, and team health to drive greater predictability and accountability - Turn operational signals from across the org into clear, data-backed reporting and decision support for engineering leadership - Own the metrics and narrative behind monthly and quarterly business reviews, ensuring leadership has accurate, timely, and actionable data - Bring a data-driven lens to org health, from delivery metrics to team sentiment, to help leadership spot risk early AI-FORWARD AUTOMATION - Build AI-assisted dashboards and reporting workflows that improve visibility into program health, release scope, delivery risk, and team performance - Create automations that connect tools like Jira, Notion, GitHub, and Slack to surface planning, execution, release, and other delivery signals - Automate recurring chief of staff and program management processes such as status collection, follow-up tracking, review preparation, and stakeholder reporting - Use these workflows to improve business review inputs, leadership updates, and recurring status reporting while reducing manual status chasing WHO YOU ARE - 7+ years of experience in a role combining program management, project management, and executive or leadership support - Prior experience as a Chief of Staff or Engineering Leadership roles a plus - Strong executive presence and the judgment to represent leadership credibly across the org and with external stakeholders - A data-driven, metrics-driven approach to decision making, with the ability to turn fragmented operational signals into clear reporting and insight - Proven ability to drive accountability, coordination, and follow-through across engineering and product teams without direct authority - Strong written and verbal communication skills, including experience owning monthly and quarterly business reviews, executive-facing updates, and cross-functional status reporting - Comfort using automation and AI to improve reporting quality, operating efficiency, and recurring workflow execution - Good judgment in prioritization, escalation, and leadership support in ambiguous or fast-moving situations - Experience owning QBRs, executive reporting, all-hands content, or org planning processes - Familiarity with DORA-style metrics, SLO/SLA thinking, release hygiene, and delivery scorecards - Experience building AI-assisted dashboards, automations, or reporting systems - Experience working in security, SaaS, endpoint, platform, or infrastructure-heavy environments - Experience supporting globally distributed engineering organizations - Prior experience transitioning from a technical or program management background into a Chief of Staff or executive operations role - Located in the Eastern Timezone to support our Global team. Joining Cyberhaven means joining the team building Data Security for the Agentic Enterprise. Traditional tools fall short. Cyberhaven traces the full lifecycle of your data, adapting protection to changing context, so protection moves with the way people actually work, not against it. AI Changed Work. We Protect It. Backed by $250M from leading investors like Khosla and Redpoint, our team includes leaders who built industry-defining technologies at CrowdStrike, Palo Alto Networks, Meta, Google, and more. This role lets you shape the future of data security, working alongside people driven to protect workflows, not just data, for customers who cannot afford to slow down to stay safe. AI Tools Disclosure: As part of Cyberhaven's hiring process, we use recruiting tools that include AI-powered features to help with tasks like scheduling, note-taking, workflow automation, and other recruiting activities ("AI Tools"). The AI Tools may process information you provide during the application and interview process. When AI-assisted interview note taking is used, candidates are notified in advance and have the option to opt out of the AI-assisted interview note taking. Cyberhaven is committed to creating a diverse environment and is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

Location: Office Based - London, UK We are hiring a General Counsel , reporting to the Chief Operating Officer (COO). This role leads Canonical’s global Legal and Compliance function. This is a unique opportunity for an exceptional and commercially-minded senior lawyer to lead the legal and compliance function of a profitable, fast-growing technology company that is privately held with the intention to list on a public exchange. We’re looking for someone with genuine fluency in the software industry and in open source dynamics, who can translate that insight into clear positions on licensing, commercial contracts and risk, and hands-on execution. Reporting directly to the Chief Operating Officer, you will own Canonical's legal, regulatory and governance posture and lead a distributed team across EMEA and the Americas. Your primary challenge will be to continue building both the team and the architecture: a management layer across two regions, and the governance, contracting and controls a public company needs, in an environment that regularly does things the industry has not done before. You will work closely with our product and engineering teams on licensing and IP questions, with the security function on customer assurance, and you will advise the Board and its committees directly. In our selection process, we prioritize intellect and judgement alongside depth of practice. We are looking for someone with a strong academic background, an active licence to practice, and demonstrable exposure to a multilayered global operational environment. Location: This role will be based in our office in London, UK. The role entails Leading the global Legal and Compliance function: setting it's structure, standards and priorities across EMEA and the Americas. Building and managing a management capability: hire and develop managers, set objectives, review performance against a clear bar, and address under-performance directly. Setting the operating cadence of the function: intake and prioritization of legal work, service expectations with internal clients, and reporting on workload and risk to the leadership team. Owning public-market readiness on the legal side: corporate governance, group and entity structure, delegated authority, policies, disclosure controls and records, in partnership with Finance. Advising the CEO, COO, CFO and the Board, and supporting in Board and committee meetings. Owning the commercial contracting framework: standard templates, negotiating positions, and a deviation and escalation process that makes commitments visible before they are signed. Leading intellectual property and open source licensing strategy, including copyleft, trademark and the terms on which Ubuntu and our products are distributed. Owning the global compliance programme: data protection and privacy, export controls and trade compliance, anti-bribery and corruption, competition and AI regulation. Managing litigation, disputes and regulatory engagement, together with the external counsel panel, its budget and its quality. Advising on M&A, partnerships, strategic alliances and financing as the company grows. What we are looking for in you An exceptional academic track record from both high school and university. A degree in law, or equivalent, and an active licence to practice in an EMEA or Americas jurisdiction. Substantial senior in-house experience in a global technology or software business. Proven experience leading a distributed legal team, including managing managers across regions and time zones. A track record of setting and holding a high performance bar: hiring well, developing people, and dealing with under performance directly rather than waiting it out. Experience building or restructuring an in-house legal function, including deciding what is retained, delegated and sent to external counsel. Technology related experience of: negotiating and owning commercial technology contracts, including enterprise software and subscriptions, channel and reseller agreements, hardware manufacturer agreements, cloud and services advising on open source licensing, including permissive and copyleft licences, and familiarity with how open source communities operate. Experience of, or demonstrable readiness for, public company governance: listing preparation, board and committee support, disclosure and controls. Depth in at least two of: data protection and privacy, IP and trademark, export controls and trade, competition, or disputes. Confidence to respectfully speak up, exchange feedback, hold colleagues accountable, and share ideas without hesitation. Professional written and spoken English with excellent drafting and presentation skills. Excellent interpersonal skills, curiosity, flexibility, and accountability. International travel two to four times a year for company events up to two weeks long. Nice-to-have skills Experience taking a company through an IPO, or practicing as counsel inside a listed company. A technical or engineering background, or fluency in how software is built and shipped. Experience of a subscription or recurring-revenue business model. Experience building or restructuring an in-house legal function. A qualification in more than one jurisdiction. What we offer colleagues We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognize outstanding performance. In addition to base pay, we offer a performance-driven annual bonus or commission. We provide all team members with additional benefits which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally. Distributed work environment with twice-yearly team sprints in person. Personal learning and development budget of USD 2,000 per year. Bi-annual compensation review. Company recognition rewards. 40 days annual leave per annum, including public holidays and our All Company holiday periods. Maternity and paternity leave. Team Member Assistance Program & Wellness Platform. Opportunity to travel to new locations to meet colleagues, with Priority Pass for lounge access. About Canonical Canonical is a pioneering tech firm at the forefront of the global move to open source. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation, and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. We are founder-led, profitable, and growing. Powered by worldwide distributed collaboration since our inception in 2004, we believe tech and business leadership can emerge anywhere. We have no central headquarters. Most of us work from home, but we are exceptionally disciplined about this. We have very high expectations of all colleagues, and are champions of excellence. Working here is a step into the future and will challenge you to think differently, work smarter, learn new skills, and raise your game. Canonical is an equal opportunity employer We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration.

Location: United States About Turing Turing’s mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality datasets, reinforcement learning environments, and frontier research benchmarks that improve model capabilities in software engineering, enterprise knowledge work, and advanced STEM reasoning. In software engineering, Turing is the largest and longest-running data provider in the category. Turing also works with Fortune 500 enterprises across financial services, life sciences, healthcare, retail, automotive, and CPG to build and deploy end-to-end agentic AI systems inside mission-critical workflows. By operating on both sides, Turing closes the loop between frontier research and enterprise deployment, turning real-world deployment signals into better data, evaluations, and more capable models. Learn more at www.turing.com . The Role Turing builds large-scale datasets and reinforcement learning (RL) environments that power post-training for the world’s leading AI labs and enterprises. We create RL environments to evaluate and improve our customers' models on complex, long-range, multi-step workflows across high-GDP-value domains such as Finance, Sales, Retail, Developer Tools, Collaboration, Customer Experience. The environments vary depending on the model capability being evaluated / improved, a few examples of environment types are listed here: Environments for Software Engineering / coding agents UI-Environments for Computer-Use/Browser-Use agents MCP-based Environments for general function-calling agents across various enterprise and consumer applications We are seeking Research Engineers to advance our understanding of frontier AI systems and develop practical innovations in data, algorithms, evaluation, and training. You will work at the intersection of research and engineering, investigating high-impact questions that improve real-world AI systems. You will design and run rigorous experiments, develop research-grade prototypes and tooling, and collaborate with Research, Engineering, Product, and Operations teams to translate promising ideas into scalable applications. This role offers the opportunity to contribute to both foundational research and applied AI development across synthetic and agentic data generation, reinforcement learning, post-training, model understanding, benchmarks, and evaluation. What You’ll Do 1. Conduct Research on Frontier AI Systems Investigate the capabilities, limitations, and training methods of frontier AI systems. Formulate research questions that can inform Turing’s products, platforms, and technical strategy. Explore new approaches to synthetic and agentic data generation, reinforcement learning, post-training, model understanding, benchmarks, and evaluation. Stay current with advances in machine learning and identify opportunities for meaningful technical contribution. 2. Build and Evaluate Research Systems Develop research-grade datasets, experiments, prototypes, tooling, and evaluation frameworks. Train, test, and evaluate models using modern AI and machine learning tools. Analyze results carefully and draw clear, evidence-based conclusions. Establish sound practices for experimental rigor, data quality, reproducibility, and interpretation. Iterate quickly from early hypothesis through validated technical insight. 3. Translate Research into Practical Impact Collaborate closely with Research, Engineering, Product, and Operations teams. Translate research findings into improvements for Turing’s products, platforms, and AI capabilities. Help identify which ideas are ready to move from exploration into scalable, real-world applications. Communicate technical findings clearly to both specialized and cross-functional audiences. 4. Contribute to the Research Community Share findings through technical reports, publications, open-source work, workshops, or conference participation where appropriate. Contribute to Turing’s research culture through technical discussions, peer review, mentorship, and collaboration. Represent Turing thoughtfully within the broader AI research community. What We’re Looking For Research background: PhD or Master’s degree in artificial intelligence, machine learning, computer science, or a closely related technical field; exceptional equivalent research experience will also be considered. Technical depth: Strong foundation in machine learning and practical experience designing experiments, training or evaluating models, and working with modern AI tooling. Relevant expertise: Demonstrated research experience in synthetic or agentic data generation, reinforcement learning or post-training, AI understanding, evaluation, or benchmarks. Research engineering ability: Strong programming skills and the ability to implement, test, and iterate quickly in a research environment. Scientific judgment: Sound judgment around experimental rigor, data quality, reproducibility, and evidence-based decision-making. Communication and collaboration: Clear written and verbal communication skills, intellectual curiosity, and the ability to work effectively across research and engineering teams. A note from our CTO, Ece Kamar Some of the most important questions in AI can't be answered from inside a single lab: how to evaluate frontier models, how data and RL truly drive capability, and what happens when AI meets the real world. At Turing, we work directly with frontier labs, the academic community, and enterprises deploying AI at scale. That creates a feedback loop where deployment shapes our research and our research shapes the field, and we publish our findings, datasets, and benchmarks openly. Join our talented team at Turing to push the frontier of AI with rigorous science that matters. Why Turing Work directly with leading AI labs and enterprises at the frontier of post-training and RL environment design. Build datasets and environments that directly improve the capabilities of advanced AI systems. Help advance coding agents’ ability to understand, plan, and execute complex software-engineering tasks. Apply frontier AI innovations to high-value enterprise workflows. Operate with high autonomy, rapid iteration, and meaningful commercial impact. Collaborate with exceptional colleagues from organizations including Google, Meta, Amazon, and other leading technology companies. Contribute to research that may be shared through technical publications and leading conferences such as ICLR, ICML, and NeurIPS. Compensation: $250,000 to $400,000 OTE + Equity Values We are client first: We put our clients at the center of everything we do, because their success is the ultimate measure of our value. We work at Start-Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfection We are AI forward: We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity. Advantages of joining Turing Work at the frontier of AI , helping the world’s leading AI labs improve their most advanced models by building expert datasets, RL environments, and first-of-a-kind benchmarks. Contribute to leading-edge AI research and showcase your work at top conferences such as ICLR, ICML, and NeurIPS. Bring frontier AI innovation to the enterprise , applying lessons learned from leading AI labs to solve real-world business challenges. Collaborate with and learn from exceptional colleagues with deep AI experience from Google, Meta, Amazon, and other leading technology companies. Move at the pace of AI innovation , with the speed, ownership, and impact of a startup. Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace  and celebrate authenticity, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. For applicants from the European Union, please review Turing's GDPR notice here .

Location: United States About Turing Turing’s mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality datasets, reinforcement learning environments, and frontier research benchmarks that improve model capabilities in software engineering, enterprise knowledge work, and advanced STEM reasoning. In software engineering, Turing is the largest and longest-running data provider in the category. Turing also works with Fortune 500 enterprises across financial services, life sciences, healthcare, retail, automotive, and CPG to build and deploy end-to-end agentic AI systems inside mission-critical workflows. By operating on both sides, Turing closes the loop between frontier research and enterprise deployment, turning real-world deployment signals into better data, evaluations, and more capable models. Learn more at www.turing.com . The Role Turing builds large-scale datasets and reinforcement learning (RL) environments that power post-training for the world’s leading AI labs and enterprises. We create RL environments to evaluate and improve our customers' models on complex, long-range, multi-step workflows across high-GDP-value domains such as Finance, Sales, Retail, Developer Tools, Collaboration, Customer Experience. The environments vary depending on the model capability being evaluated / improved, a few examples of environment types are listed here: Environments for Software Engineering / coding agents UI-Environments for Computer-Use/Browser-Use agents MCP-based Environments for general function-calling agents across various enterprise and consumer applications We are seeking Research Engineers to advance our understanding of frontier AI systems and develop practical innovations in data, algorithms, evaluation, and training. You will work at the intersection of research and engineering, investigating high-impact questions that improve real-world AI systems. You will design and run rigorous experiments, develop research-grade prototypes and tooling, and collaborate with Research, Engineering, Product, and Operations teams to translate promising ideas into scalable applications. This role offers the opportunity to contribute to both foundational research and applied AI development across synthetic and agentic data generation, reinforcement learning, post-training, model understanding, benchmarks, and evaluation. What You’ll Do 1. Conduct Research on Frontier AI Systems Investigate the capabilities, limitations, and training methods of frontier AI systems. Formulate research questions that can inform Turing’s products, platforms, and technical strategy. Explore new approaches to synthetic and agentic data generation, reinforcement learning, post-training, model understanding, benchmarks, and evaluation. Stay current with advances in machine learning and identify opportunities for meaningful technical contribution. 2. Build and Evaluate Research Systems Develop research-grade datasets, experiments, prototypes, tooling, and evaluation frameworks. Train, test, and evaluate models using modern AI and machine learning tools. Analyze results carefully and draw clear, evidence-based conclusions. Establish sound practices for experimental rigor, data quality, reproducibility, and interpretation. Iterate quickly from early hypothesis through validated technical insight. 3. Translate Research into Practical Impact Collaborate closely with Research, Engineering, Product, and Operations teams. Translate research findings into improvements for Turing’s products, platforms, and AI capabilities. Help identify which ideas are ready to move from exploration into scalable, real-world applications. Communicate technical findings clearly to both specialized and cross-functional audiences. 4. Contribute to the Research Community Share findings through technical reports, publications, open-source work, workshops, or conference participation where appropriate. Contribute to Turing’s research culture through technical discussions, peer review, mentorship, and collaboration. Represent Turing thoughtfully within the broader AI research community. What We’re Looking For Research background: PhD or Master’s degree in artificial intelligence, machine learning, computer science, or a closely related technical field; exceptional equivalent research experience will also be considered. Technical depth: Strong foundation in machine learning and practical experience designing experiments, training or evaluating models, and working with modern AI tooling. Relevant expertise: Demonstrated research experience in synthetic or agentic data generation, reinforcement learning or post-training, AI understanding, evaluation, or benchmarks. Research engineering ability: Strong programming skills and the ability to implement, test, and iterate quickly in a research environment. Scientific judgment: Sound judgment around experimental rigor, data quality, reproducibility, and evidence-based decision-making. Communication and collaboration: Clear written and verbal communication skills, intellectual curiosity, and the ability to work effectively across research and engineering teams. A note from our CTO, Ece Kamar Some of the most important questions in AI can't be answered from inside a single lab: how to evaluate frontier models, how data and RL truly drive capability, and what happens when AI meets the real world. At Turing, we work directly with frontier labs, the academic community, and enterprises deploying AI at scale. That creates a feedback loop where deployment shapes our research and our research shapes the field, and we publish our findings, datasets, and benchmarks openly. Join our talented team at Turing to push the frontier of AI with rigorous science that matters. Why Turing Work directly with leading AI labs and enterprises at the frontier of post-training and RL environment design. Build datasets and environments that directly improve the capabilities of advanced AI systems. Help advance coding agents’ ability to understand, plan, and execute complex software-engineering tasks. Apply frontier AI innovations to high-value enterprise workflows. Operate with high autonomy, rapid iteration, and meaningful commercial impact. Collaborate with exceptional colleagues from organizations including Google, Meta, Amazon, and other leading technology companies. Contribute to research that may be shared through technical publications and leading conferences such as ICLR, ICML, and NeurIPS. Compensation: $250,000 to $350,000 OTE + Equity Values We are client first: We put our clients at the center of everything we do, because their success is the ultimate measure of our value. We work at Start-Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfection We are AI forward: We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity. Advantages of joining Turing Work at the frontier of AI , helping the world’s leading AI labs improve their most advanced models by building expert datasets, RL environments, and first-of-a-kind benchmarks. Contribute to leading-edge AI research and showcase your work at top conferences such as ICLR, ICML, and NeurIPS. Bring frontier AI innovation to the enterprise , applying lessons learned from leading AI labs to solve real-world business challenges. Collaborate with and learn from exceptional colleagues with deep AI experience from Google, Meta, Amazon, and other leading technology companies. Move at the pace of AI innovation , with the speed, ownership, and impact of a startup. Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace  and celebrate authenticity, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. For applicants from the European Union, please review Turing's GDPR notice here .

Location: United States About Turing Turing’s mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality datasets, reinforcement learning environments, and frontier research benchmarks that improve model capabilities in software engineering, enterprise knowledge work, and advanced STEM reasoning. In software engineering, Turing is the largest and longest-running data provider in the category. Turing also works with Fortune 500 enterprises across financial services, life sciences, healthcare, retail, automotive, and CPG to build and deploy end-to-end agentic AI systems inside mission-critical workflows. By operating on both sides, Turing closes the loop between frontier research and enterprise deployment, turning real-world deployment signals into better data, evaluations, and more capable models. Learn more at www.turing.com . The Role Turing is seeking exceptional Research Scientists to join our research organization and develop new ways to evaluate, train, and improve frontier AI systems. This is a research-first role focused on problems where the right benchmark, dataset, or methodology often does not yet exist. You will identify important gaps in the literature, propose ambitious new research directions, and take projects from initial hypothesis through experimentation, benchmark construction, and publication. Our research is deliberately focused on frontier evaluation, synthetic data, hallucination and reliability, and agentic science . We are looking for scientists who can recognize important problems early, formulate them precisely, and design rigorous research programs to answer them. What You'll Do Frontier benchmarks and evaluation Identify high-impact gaps in existing benchmark and evaluation literature. Design novel benchmarks in and across STEM fields and on general model functionality. Develop evaluations for emerging model capabilities that are poorly captured by traditional static benchmarks. Design rigorous task-generation, grading, contamination-control, difficulty-calibration, and validation methodologies. Build benchmarks that can become both valuable research contributions and meaningful standards for evaluating frontier models. Synthetic data and post-training Develop methods for generating high-quality synthetic STEM training data. Study how task selection, difficulty, diversity, verification, filtering, and data quality affect downstream performance. Explore methods for generating useful training signal in domains where expert human data is scarce or expensive. Design experiments that determine when synthetic data genuinely improves capabilities rather than simply increasing training volume. Hallucination, reliability, and verification Study hallucination, uncertainty, calibration, and epistemic failure in technical domains. Develop evaluations and methods for improving factual reliability, self-correction, verification, citation, and appropriate abstention. Investigate when models should reason internally, invoke tools, seek external evidence, or recognize that they do not know. Agentic science Research AI systems capable of performing extended scientific and technical work. Develop workflows involving literature search, coding, simulation, tool use, experimentation, verification, and iterative reasoning. Evaluate long-horizon scientific agents and identify the bottlenecks preventing them from reliably performing real research. Explore new approaches to human-AI and multi-agent scientific collaboration. New research directions The areas above are our core focus, not an exhaustive list. Researchers will also have significant latitude to propose new programs in areas such as reasoning, model evaluation, AI-for-science, data generation, and emerging capabilities. What We’re Looking For PhD or equivalent research experience in machine learning, computer science, mathematics, physics, chemistry, biology, engineering, statistics, or another highly technical field . Demonstrated ability to formulate and execute original research. Strong understanding of modern LLMs and the frontier AI research landscape. Excellent experimental design, quantitative reasoning, and scientific judgment. Ability to rapidly understand unfamiliar technical literature and develop expertise in new areas. Strong Python skills and the ability to independently build research prototypes and evaluation pipelines. Excellent technical writing and communication. Comfort working in a fast-moving environment where the research agenda evolves with the frontier. A strong publication record is valuable, but we care most about whether you can identify important questions, design rigorous ways to answer them, and execute quickly enough for the results to matter . A note from our CTO, Ece Kamar Some of the most important questions in AI can't be answered from inside a single lab: how to evaluate frontier models, how data and RL truly drive capability, and what happens when AI meets the real world. At Turing, we work directly with frontier labs, the academic community, and enterprises deploying AI at scale. That creates a feedback loop where deployment shapes our research and our research shapes the field, and we publish our findings, datasets, and benchmarks openly. Join our talented team at Turing to push the frontier of AI with rigorous science that matters. Why Turing Work directly with leading AI labs and enterprises at the frontier of post-training and RL environment design. Build datasets and environments that directly improve the capabilities of advanced AI systems. Help advance coding agents’ ability to understand, plan, and execute complex software-engineering tasks. Apply frontier AI innovations to high-value enterprise workflows. Operate with high autonomy, rapid iteration, and meaningful commercial impact. Collaborate with exceptional colleagues from organizations including Google, Meta, Amazon, and other leading technology companies. Contribute to research that may be shared through technical publications and leading conferences such as ICLR, ICML, and NeurIPS. Compensation: $250,000 to $400,000 OTE + Equity Values We are client first: We put our clients at the center of everything we do, because their success is the ultimate measure of our value. We work at Start-Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfection We are AI forward: We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity. Advantages of joining Turing Work at the frontier of AI , helping the world’s leading AI labs improve their most advanced models by building expert datasets, RL environments, and first-of-a-kind benchmarks. Contribute to leading-edge AI research and showcase your work at top conferences such as ICLR, ICML, and NeurIPS. Bring frontier AI innovation to the enterprise , applying lessons learned from leading AI labs to solve real-world business challenges. Collaborate with and learn from exceptional colleagues with deep AI experience from Google, Meta, Amazon, and other leading technology companies. Move at the pace of AI innovation , with the speed, ownership, and impact of a startup. Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace  and celebrate authenticity, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. For applicants from the European Union, please review Turing's GDPR notice here .

Location: United States About Turing Turing’s mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality datasets, reinforcement learning environments, and frontier research benchmarks that improve model capabilities in software engineering, enterprise knowledge work, and advanced STEM reasoning. In software engineering, Turing is the largest and longest-running data provider in the category. Turing also works with Fortune 500 enterprises across financial services, life sciences, healthcare, retail, automotive, and CPG to build and deploy end-to-end agentic AI systems inside mission-critical workflows. By operating on both sides, Turing closes the loop between frontier research and enterprise deployment, turning real-world deployment signals into better data, evaluations, and more capable models. Learn more at www.turing.com . The Role Turing is seeking exceptional Research Scientists to join our STEM research organization and develop new ways to evaluate, train, and improve frontier AI systems. This is a research-first role focused on problems where the right benchmark, dataset, or methodology often does not yet exist. You will identify important gaps in the literature, propose ambitious new research directions, and take projects from initial hypothesis through experimentation, benchmark construction, and publication. Our research is deliberately focused on frontier STEM evaluation, synthetic data, hallucination and reliability, and agentic science . We are looking for scientists who can recognize important problems early, formulate them precisely, and design rigorous research programs to answer them. What You'll Do Frontier benchmarks and evaluation Identify high-impact gaps in existing benchmark and evaluation literature. Design novel benchmarks in and across STEM fields and on general model functionality. Develop evaluations for emerging model capabilities that are poorly captured by traditional static benchmarks. Design rigorous task-generation, grading, contamination-control, difficulty-calibration, and validation methodologies. Build benchmarks that can become both valuable research contributions and meaningful standards for evaluating frontier models. Synthetic data and post-training Develop methods for generating high-quality synthetic STEM training data. Study how task selection, difficulty, diversity, verification, filtering, and data quality affect downstream performance. Explore methods for generating useful training signal in domains where expert human data is scarce or expensive. Design experiments that determine when synthetic data genuinely improves capabilities rather than simply increasing training volume. Hallucination, reliability, and verification Study hallucination, uncertainty, calibration, and epistemic failure in technical domains. Develop evaluations and methods for improving factual reliability, self-correction, verification, citation, and appropriate abstention. Investigate when models should reason internally, invoke tools, seek external evidence, or recognize that they do not know. Agentic science Research AI systems capable of performing extended scientific and technical work. Develop workflows involving literature search, coding, simulation, tool use, experimentation, verification, and iterative reasoning. Evaluate long-horizon scientific agents and identify the bottlenecks preventing them from reliably performing real research. Explore new approaches to human-AI and multi-agent scientific collaboration. New research directions The areas above are our core focus, not an exhaustive list. Researchers will also have significant latitude to propose new programs in areas such as reasoning, model evaluation, AI-for-science, data generation, and emerging capabilities. What We’re Looking For PhD or equivalent research experience in machine learning, computer science, mathematics, physics, chemistry, biology, engineering, statistics, or another highly technical field . Demonstrated ability to formulate and execute original research. Strong understanding of modern LLMs and the frontier AI research landscape. Excellent experimental design, quantitative reasoning, and scientific judgment. Ability to rapidly understand unfamiliar technical literature and develop expertise in new areas. Strong Python skills and the ability to independently build research prototypes and evaluation pipelines. Excellent technical writing and communication. Comfort working in a fast-moving environment where the research agenda evolves with the frontier. A strong publication record is valuable, but we care most about whether you can identify important questions, design rigorous ways to answer them, and execute quickly enough for the results to matter . A note from our CTO, Ece Kamar Some of the most important questions in AI can't be answered from inside a single lab: how to evaluate frontier models, how data and RL truly drive capability, and what happens when AI meets the real world. At Turing, we work directly with frontier labs, the academic community, and enterprises deploying AI at scale. That creates a feedback loop where deployment shapes our research and our research shapes the field, and we publish our findings, datasets, and benchmarks openly. Join our talented team at Turing to push the frontier of AI with rigorous science that matters. Why Turing Work directly with leading AI labs and enterprises at the frontier of post-training and RL environment design. Build datasets and environments that directly improve the capabilities of advanced AI systems. Help advance coding agents’ ability to understand, plan, and execute complex software-engineering tasks. Apply frontier AI innovations to high-value enterprise workflows. Operate with high autonomy, rapid iteration, and meaningful commercial impact. Collaborate with exceptional colleagues from organizations including Google, Meta, Amazon, and other leading technology companies. Contribute to research that may be shared through technical publications and leading conferences such as ICLR, ICML, and NeurIPS. Compensation: $250,000 to $350,000 OTE + Equity Values We are client first: We put our clients at the center of everything we do, because their success is the ultimate measure of our value. We work at Start-Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfection We are AI forward: We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity. Advantages of joining Turing Work at the frontier of AI , helping the world’s leading AI labs improve their most advanced models by building expert datasets, RL environments, and first-of-a-kind benchmarks. Contribute to leading-edge AI research and showcase your work at top conferences such as ICLR, ICML, and NeurIPS. Bring frontier AI innovation to the enterprise , applying lessons learned from leading AI labs to solve real-world business challenges. Collaborate with and learn from exceptional colleagues with deep AI experience from Google, Meta, Amazon, and other leading technology companies. Move at the pace of AI innovation , with the speed, ownership, and impact of a startup. Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace  and celebrate authenticity, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. For applicants from the European Union, please review Turing's GDPR notice here .

Location: United States About Turing Turing’s mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality datasets, reinforcement learning environments, and frontier research benchmarks that improve model capabilities in software engineering, enterprise knowledge work, and advanced STEM reasoning. In software engineering, Turing is the largest and longest-running data provider in the category. Turing also works with Fortune 500 enterprises across financial services, life sciences, healthcare, retail, automotive, and CPG to build and deploy end-to-end agentic AI systems inside mission-critical workflows. By operating on both sides, Turing closes the loop between frontier research and enterprise deployment, turning real-world deployment signals into better data, evaluations, and more capable models. Learn more at www.turing.com . The Role Turing is seeking exceptional AI Research Scientists to join our STEM research organization and develop new ways to evaluate, train, and improve frontier AI systems. This is a research-first role focused on problems where the right benchmark, dataset, or methodology often does not yet exist. You will identify important gaps in the literature, propose ambitious new research directions, and take projects from initial hypothesis through experimentation, benchmark construction, and publication. Our research is deliberately focused on frontier STEM evaluation, synthetic data, hallucination and reliability, and agentic science . We are looking for scientists who can recognize important problems early, formulate them precisely, and design rigorous research programs to answer them. What You'll Do Frontier benchmarks and evaluation Identify high-impact gaps in existing benchmark and evaluation literature. Design novel benchmarks in and across STEM fields and on general model functionality. Develop evaluations for emerging model capabilities that are poorly captured by traditional static benchmarks. Design rigorous task-generation, grading, contamination-control, difficulty-calibration, and validation methodologies. Build benchmarks that can become both valuable research contributions and meaningful standards for evaluating frontier models. Synthetic data and post-training Develop methods for generating high-quality synthetic STEM training data. Study how task selection, difficulty, diversity, verification, filtering, and data quality affect downstream performance. Explore methods for generating useful training signal in domains where expert human data is scarce or expensive. Design experiments that determine when synthetic data genuinely improves capabilities rather than simply increasing training volume. Hallucination, reliability, and verification Study hallucination, uncertainty, calibration, and epistemic failure in technical domains. Develop evaluations and methods for improving factual reliability, self-correction, verification, citation, and appropriate abstention. Investigate when models should reason internally, invoke tools, seek external evidence, or recognize that they do not know. Agentic science Research AI systems capable of performing extended scientific and technical work. Develop workflows involving literature search, coding, simulation, tool use, experimentation, verification, and iterative reasoning. Evaluate long-horizon scientific agents and identify the bottlenecks preventing them from reliably performing real research. Explore new approaches to human-AI and multi-agent scientific collaboration. New research directions The areas above are our core focus, not an exhaustive list. Researchers will also have significant latitude to propose new programs in areas such as reasoning, model evaluation, AI-for-science, data generation, and emerging capabilities. What We’re Looking For PhD or equivalent research experience in machine learning, computer science, mathematics, physics, chemistry, biology, engineering, statistics, or another highly technical field . Demonstrated ability to formulate and execute original research. Strong understanding of modern LLMs and the frontier AI research landscape. Excellent experimental design, quantitative reasoning, and scientific judgment. Ability to rapidly understand unfamiliar technical literature and develop expertise in new areas. Strong Python skills and the ability to independently build research prototypes and evaluation pipelines. Excellent technical writing and communication. Comfort working in a fast-moving environment where the research agenda evolves with the frontier. A strong publication record is valuable, but we care most about whether you can identify important questions, design rigorous ways to answer them, and execute quickly enough for the results to matter . A note from our CTO, Ece Kamar Some of the most important questions in AI can't be answered from inside a single lab: how to evaluate frontier models, how data and RL truly drive capability, and what happens when AI meets the real world. At Turing, we work directly with frontier labs, the academic community, and enterprises deploying AI at scale. That creates a feedback loop where deployment shapes our research and our research shapes the field, and we publish our findings, datasets, and benchmarks openly. Join our talented team at Turing to push the frontier of AI with rigorous science that matters. Why Turing Work directly with leading AI labs and enterprises at the frontier of post-training and RL environment design. Build datasets and environments that directly improve the capabilities of advanced AI systems. Help advance coding agents’ ability to understand, plan, and execute complex software-engineering tasks. Apply frontier AI innovations to high-value enterprise workflows. Operate with high autonomy, rapid iteration, and meaningful commercial impact. Collaborate with exceptional colleagues from organizations including Google, Meta, Amazon, and other leading technology companies. Contribute to research that may be shared through technical publications and leading conferences such as ICLR, ICML, and NeurIPS. Compensation: $150,000 to $300,000 OTE + Equity Values We are client first: We put our clients at the center of everything we do, because their success is the ultimate measure of our value. We work at Start-Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfection We are AI forward: We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity. Advantages of joining Turing Work at the frontier of AI , helping the world’s leading AI labs improve their most advanced models by building expert datasets, RL environments, and first-of-a-kind benchmarks. Contribute to leading-edge AI research and showcase your work at top conferences such as ICLR, ICML, and NeurIPS. Bring frontier AI innovation to the enterprise , applying lessons learned from leading AI labs to solve real-world business challenges. Collaborate with and learn from exceptional colleagues with deep AI experience from Google, Meta, Amazon, and other leading technology companies. Move at the pace of AI innovation , with the speed, ownership, and impact of a startup. Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace  and celebrate authenticity, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. For applicants from the European Union, please review Turing's GDPR notice here .

Location: Hybrid About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Location: Toronto, Canada About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. We’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. What you will do as a Customer Engineer The Customer Engineer (CE) is the core driver of our technical go-to-market strategy: a trusted technical advisor and primary architect of the customer journey. You will bridge the gap between technical strategy and business value—guiding enterprise clients from initial pre-sales technical validation through onboarding, deployment architecture, and full lifecycle expansion. Sitting within the GTM organization and reporting to a Customer Engineering Leader, you will not hand off your customers once an initial agreement is reached. Instead, you will operate as a quota-carrying technologist, leveraging AI-augmented workflows to eliminate administrative toil so you can focus on high-value architectural design and driving measurable business outcomes across the entire customer journey. Key Responsibilities Technical Validation: Partner closely with Account Executives to lead technical deep-dive discovery, capture business requirements, and map complex customer infrastructure - DNS, CDN, Zero Trust, Network Security, Workers - to fit-for-purpose Cloudflare architectures and bespoke solutions. . Define, scope, success criteria, and technical evaluations plans for Proof of Concepts (PoCs) and Technical Validations. Deliver tailored technical presentations, architectural diagrams, and demonstrations that show how Cloudflare solves specific performance, security, and reliability challenges. Proactively address complex technical objections, security compliance questions, and edge-case architectural requirements during the sales cycle. Take accountability for a suitable solution deployment strategy (Customer, Partner or Cloudflare Professional services) being an integral part of all proposals. Customer Adoption & Value Realization: Provide oversight to technical onboarding and implementation, but not execute the implementation, serving as the primary executive and engineering contact for the customer. Design structured migration and onboarding blueprints tailored to the customer’s environment (e.g. DNS migrations, Zero Trust rollouts, WAF tuning guidance), and act as the lead consultant for customer engineering teams, walking them step-by-step through configuration best practices.  Partner with Account Executives to own discovery, demos, onboarding, technical health, risk, and expansion strategy. Proactively monitor customer health scores and telemetry to ensure rapid time-to-value, resolve integration bottlenecks, and reduce deployment risk. Commercial Accountability & Expansion: Carry a variable quota tied directly to new business acquisition and/or ongoing account growth. Be commercially accountable for ensuring deep platform adoption, retaining revenue, and identifying strategic cross-sell and up-sell opportunities based on product usage data. Lead technical Quarterly Business Reviews (QBRs) to translate platform capabilities into return on investment for C-level executives. Trusted Advisory: Act as a trusted technical advisor throughout the entire customer lifecycle, maintaining a continuous, deep relationship with key stakeholders from initial onboarding through maturity, renewal, and expansion. Provide thought partnership on architecture, AI control layers, security posture, and deployment confidence. Identify potential deployment risks or integration bottlenecks early, and provide remediation strategies to de-risk customer outcomes. AI Orchestration & Workflow Automation: Leverage AI agents, Large Language Models (LLMs), and internal platforms to automate routine tasks such as RFP/Security Questionnaire responses, sandbox provisioning, basic telemetry monitoring, and internal/external documentation, reclaiming your time for strategic customer advisory. Education & Enablement: Partner closely with the Enablement Team to design, build, and govern technical resources. Define, document, and educate both internal teams and customers on deliverables such as Standard Operating Procedures (SOPs), architectural best practices, and technical guides to continuously raise the technical baseline across the organization. Minimum Qualifications Experience: Experience in a customer-facing technical role, such as Solutions Engineering, Customer Engineering, Professional Services,  Sales Engineering, Technical Account Management, or as a Forward Deployed Engineer (years of experience required will vary based on Associate, Senior, Staff, or Principal leveling). Architectural Mindset: Ability to white-board, design, and articulate complex enterprise network and security architectures clearly. Consultative & Advisory Skills: Excellent communication skills with the ability to translate deeply technical concepts into business outcomes for both hands-on engineers and C-level executives. Commercial Mindset: Proven track record of operating in a quota-carrying or revenue-aligned environment, with a strong understanding of SaaS metrics, business value translation, and enterprise sales cycles. Communication: Exceptional presentation and stakeholder management skills, capable of bridging the gap between deep technical implementation details and high-level C-suite business strategy. Technical Breadth: We do not expect every candidate to be an expert in every domain. Qualified candidates will demonstrate depth in at least four of the technical areas below: Internet fundamentals: Deep understanding of how the Internet works, including OSI Model layers 1–7, BGP, GRE, TCP/UDP, DNS (authoritative and recursive), HTTP(S), and SSL/TLS. Security: Expertise in the security of Internet properties, including WAF, Bot Management, Firewalls, Rate Limiting, (M)TLS, Zero Trust, and SASE concepts. Performance: Expertise in the performance of Internet properties, including speed, latency, caching, video streaming, HTTP/2, and TLS 1.3. AI Proficiency: Familiarity with prompt engineering, AI-assisted scripting and log analysis, LLM utilization, and workflow automation to augment everyday CE workflows. Coding/Scripting: Proficiency in Python, JavaScript, Bash, Lua, Go, or similar languages to write custom integration scripts, API connectors, and edge computing functions. Developer Platform Fluency: Experience designing, building, deploying or scaling applications using RESTful/GraphQL APIs, SDKs, webhooks, and developer tooling in cloud-native environments. Familiarity with infrastructure-as-code (Terraform, Pulumi), CI/CD pipelines, and observability for developer-led deployments. Strongly Preferred Qualifications (The "Good-to-Haves") Technical Enablement: Track record of creating and delivering technical enablement - workshops, code samples, documentation, or developer onboarding - that accelerates customer adoption of complex platforms. Applied AI Knowledge: Experience with LLM orchestration, Retrieval-Augmented Generation (RAG) architectures, and model-access controls. Regulatory Knowledge: Understanding of regulatory requirements such as PCI DSS, HIPAA, and SOC 2. Hyperscaler / Digital Native Background: Talent coming out of hyperscalers, digital natives, distributed systems environments, or startups is strongly valued for its deeper cloud fluency and advanced architecture depth. Education Undergraduate or graduate degree in Computer Science, Engineering, or a related field. Travel This role will require travel up to 20–50% to attend customer meetings, conferences, industry events, and other in-person team meetings, within the assigned territory. For this reason, candidates must have reliable personal or local public transportation to complete all required travel. Required travel is reimbursable in accordance with the Company's Travel & Expense Policy, as it may be amended from time to time. Compensation This role features a competitive base salary and a variable compensation structure tied directly to the successful execution of full-lifecycle commercial targets, including new business acquisition, ongoing adoption milestones, and overall account expansion. What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project : In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you’d like to be a part of? We’d love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs.  More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer.  We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness.  All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities.  Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.  If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.

Location: United States About Turing Turing’s mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality datasets, reinforcement learning environments, and frontier research benchmarks that improve model capabilities in software engineering, enterprise knowledge work, and advanced STEM reasoning. In software engineering, Turing is the largest and longest-running data provider in the category. Turing also works with Fortune 500 enterprises across financial services, life sciences, healthcare, retail, automotive, and CPG to build and deploy end-to-end agentic AI systems inside mission-critical workflows. By operating on both sides, Turing closes the loop between frontier research and enterprise deployment, turning real-world deployment signals into better data, evaluations, and more capable models. Learn more at www.turing.com . The Role Turing builds large-scale datasets and reinforcement learning (RL) environments that power post-training for the world’s leading AI labs and enterprises. We create RL environments to evaluate and improve our customers' models on complex, long-range, multi-step workflows across high-GDP-value domains such as Finance, Sales, Retail, Developer Tools, Collaboration, Customer Experience. The environments vary depending on the model capability being evaluated / improved, a few examples of environment types are listed here: Environments for Software Engineering / coding agents UI-Environments for Computer-Use/Browser-Use agents MCP-based Environments for general function-calling agents across various enterprise and consumer applications We are seeking Research Engineers to advance our understanding of frontier AI systems and develop practical innovations in data, algorithms, evaluation, and training. You will work at the intersection of research and engineering, investigating high-impact questions that improve real-world AI systems. You will design and run rigorous experiments, develop research-grade prototypes and tooling, and collaborate with Research, Engineering, Product, and Operations teams to translate promising ideas into scalable applications. This role offers the opportunity to contribute to both foundational research and applied AI development across synthetic and agentic data generation, reinforcement learning, post-training, model understanding, benchmarks, and evaluation. What You’ll Do 1. Conduct Research on Frontier AI Systems Investigate the capabilities, limitations, and training methods of frontier AI systems. Formulate research questions that can inform Turing’s products, platforms, and technical strategy. Explore new approaches to synthetic and agentic data generation, reinforcement learning, post-training, model understanding, benchmarks, and evaluation. Stay current with advances in machine learning and identify opportunities for meaningful technical contribution. 2. Build and Evaluate Research Systems Develop research-grade datasets, experiments, prototypes, tooling, and evaluation frameworks. Train, test, and evaluate models using modern AI and machine learning tools. Analyze results carefully and draw clear, evidence-based conclusions. Establish sound practices for experimental rigor, data quality, reproducibility, and interpretation. Iterate quickly from early hypothesis through validated technical insight. 3. Translate Research into Practical Impact Collaborate closely with Research, Engineering, Product, and Operations teams. Translate research findings into improvements for Turing’s products, platforms, and AI capabilities. Help identify which ideas are ready to move from exploration into scalable, real-world applications. Communicate technical findings clearly to both specialized and cross-functional audiences. 4. Contribute to the Research Community Share findings through technical reports, publications, open-source work, workshops, or conference participation where appropriate. Contribute to Turing’s research culture through technical discussions, peer review, mentorship, and collaboration. Represent Turing thoughtfully within the broader AI research community. What We’re Looking For Research background: PhD or Master’s degree in artificial intelligence, machine learning, computer science, or a closely related technical field; exceptional equivalent research experience will also be considered. Technical depth: Strong foundation in machine learning and practical experience designing experiments, training or evaluating models, and working with modern AI tooling. Relevant expertise: Demonstrated research experience in synthetic or agentic data generation, reinforcement learning or post-training, AI understanding, evaluation, or benchmarks. Research engineering ability: Strong programming skills and the ability to implement, test, and iterate quickly in a research environment. Scientific judgment: Sound judgment around experimental rigor, data quality, reproducibility, and evidence-based decision-making. Communication and collaboration: Clear written and verbal communication skills, intellectual curiosity, and the ability to work effectively across research and engineering teams. A note from our CTO, Ece Kamar Some of the most important questions in AI can't be answered from inside a single lab: how to evaluate frontier models, how data and RL truly drive capability, and what happens when AI meets the real world. At Turing, we work directly with frontier labs, the academic community, and enterprises deploying AI at scale. That creates a feedback loop where deployment shapes our research and our research shapes the field, and we publish our findings, datasets, and benchmarks openly. Join our talented team at Turing to push the frontier of AI with rigorous science that matters. Why Turing Work directly with leading AI labs and enterprises at the frontier of post-training and RL environment design. Build datasets and environments that directly improve the capabilities of advanced AI systems. Help advance coding agents’ ability to understand, plan, and execute complex software-engineering tasks. Apply frontier AI innovations to high-value enterprise workflows. Operate with high autonomy, rapid iteration, and meaningful commercial impact. Collaborate with exceptional colleagues from organizations including Google, Meta, Amazon, and other leading technology companies. Contribute to research that may be shared through technical publications and leading conferences such as ICLR, ICML, and NeurIPS. Compensation: $250,000 to $350,000 OTE + Equity Values We are client first: We put our clients at the center of everything we do, because their success is the ultimate measure of our value. We work at Start-Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfection We are AI forward: We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity. Advantages of joining Turing Work at the frontier of AI , helping the world’s leading AI labs improve their most advanced models by building expert datasets, RL environments, and first-of-a-kind benchmarks. Contribute to leading-edge AI research and showcase your work at top conferences such as ICLR, ICML, and NeurIPS. Bring frontier AI innovation to the enterprise , applying lessons learned from leading AI labs to solve real-world business challenges. Collaborate with and learn from exceptional colleagues with deep AI experience from Google, Meta, Amazon, and other leading technology companies. Move at the pace of AI innovation , with the speed, ownership, and impact of a startup. Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace  and celebrate authenticity, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. For applicants from the European Union, please review Turing's GDPR notice here .

Location: Milwaukee, WI If you like variety and challenge and take satisfaction from knowing your work supports modern construction, consider joining the Michels Construction, Inc., Our business spans across North America and, we approach each project with a desire to deliver the safe, high-quality, cost-effective work with minimal inconveniences to users. The heavy civil industry is broad, and so are our services. Our projects include Wharfs and ports, Dams, water resiliency, wastewater treatment plants, pump stations, bridges, railways, and more. Our work improves lives. Find out how a career at Michels Construction, Inc. can change yours. The Senior Superintendent, Heavy Civil role supports field operations by coordinating schedules and resources, communicating scope to Foremen, and ensuring safety processes like JSAs and inspections are completed. Responsibilities include attending client meetings, managing materials and tooling needs, verifying daily QA/QC and as‑built documentation, reviewing time and field reports, and working closely with the Project Manager. This position also helps develop Foremen and trade staff while contributing to efficient, safe, and consistent project execution. Why Michels Construction, Inc.? We support dynamic and growing industries We are family owned and operated We invest an average of $5,000 per employee on training each year We reward hard work and dedication with limitless opportunities We are a part of the Michels family of companies – one of North America’s largest, most diversified energy and infrastructure contractors Michels offers a comprehensive benefits program, subject to eligibility requirements, including medical insurance, dental insurance, life insurance, flexible spending accounts, health savings account, short-term and long-term disability insurance, 401(k) plan, legal plan, and identity theft and monitoring plan. 15 to 25 days of paid time off and 8 paid holidays annually. Why you? You thrive in fast-paced environments under tight deadlines You relish new challenges and evolving technology You enjoy collaborating and communicating with your teammates You like to know your efforts are noticed and appreciated You have a serious commitment to safety You lead by example What it takes: 10+ years of related experience and/or training in construction industry Experience with Heavy Civil project is required Must possess a valid driver license for the type(s) of vehicles which may be driven and an acceptable driving record as determined by the Michels Review Team Ability to travel and commit to long term onsite projects #LI-HV1 AA/EOE/M/W/Vet/Disability https://www.michels.us/website-user-privacy-policy/

Location: Guildford Workplace: onsite With multiple awards to our name, Larian Studios has proven that we’re dedicated to delivering high-quality role-playing games As we move on to new projects, the studio that brought you Baldur’s Gate 3 & Divinity: Original Sin 2 is looking for a Lead Sound Designer to join the team and help us in crafting the high calibre games our fans have come to expect. Responsibilities Execute the Creative Sound Design Vision Lead, support and train the Sound Design Team Distribute tasks to the Sound Design Team Review and sign-off tasks for the Sound Design Team Support to develop the Creative Sound Design Vision Manage the collaboration with our outsourcing partners Collaborate closely with and report to the Head of Audio Collaborate closely with the Audio Leadership team Communicate with Stakeholders, Producers and Feature Teams Requirements Full project loop as a Senior Sound Designer or Sound Design Lead on a AAA title, ideally in medium/large teams Lead experience within Sound Design teams Proficiency in Jira Proficient in building up, maintaining and delivering a Sound Design Vision Solid understanding of the Game Audio pipeline from Asset to Soundscape Profound mastering of Wwise Profound general audio production knowledge: how assets are created, mixed and mastered This is a full-time, on-site role, requiring your presence in the office to support collaboration and creativity Nice to Haves Worked on an RPG Proficient knowledge of Foley and Field recordings Good understanding of script systems to create customized scalable automated solutions Basic knowledge in programming (C# / C++) What we offer An international team of over 500 employees spread across 7 studios around the world, each of which have their own unique qualities, and maintain a small-studio feel An open, collaborative environment where ideas are welcome and encouraged A managerial team consisting of highly experienced game developers at the top of their fields Sharing hobbies and passions with like-minded colleagues Inclusive environment with many activities organized by the studios or the employees Commitment to making the best game possible for the fans, including listening to community feedback

Location: Bogotá, Colombia Workplace: hybrid About Aleph Aleph is a global leader accelerating digital advertising, and fintech solutions across more than 130 high-growth markets. With more than 20 years of experience and strategic partnerships with over 50 of the world's leading digital platforms, Aleph connects media, payments, and local market expertise to enable platforms and businesses to grow and operate globally with speed and compliance. With teams in more than 90 offices worldwide, Aleph combines global scale with deep local execution. Beyond business impact, Aleph drives digital inclusion through its education initiative, Digital Ad Expert, member of UNESCO’s Global Skills Academy. About the role Aleph is seeking a strategic, high-energy Programmatic Specialist to represent Spotify across the LATAM region from our Bogotá hub. You don’t need to be a hands-on trader or optimizer, but you do need to speak the language of DSPs, SSPs, and Ad Exchanges fluently enough to sell with real credibility, handle objections, and guide media agencies  through the offering. What You Will Do Own revenue targets and pipeline growth for Spotify’s programmatic advertising solutions (self-serve, PMPs, always-on activations) across LATAM markets. Proactively prospect and identify new business development opportunities, and unblock stalled ones within agencies and brands, finding the right internal contact, the right angle, and the right moment to move a deal forward. Build and maintain strong relationships with agency programmatic desks, buying, strategy, and digital teams across multiple markets. Know how agencies are structured internally and how to navigate them. Evangelize Spotify’s programmatic offering to agencies and clients, driving upsell and always-on activations, and supporting partners with any questions along the way. Translate campaign performance data into insights and business narratives that resonate with clients at a strategic level. Train and mentor sales team members on programmatic positioning and talking points. Stay current on programmatic advertising trends, self-serve platform dynamics, and industry best practices to keep pitches sharp and relevant. Represent Spotify/Aleph at industry events, building market presence across the region. Work with third-party vendors and partners to strengthen the offering, and coordinate with internal specialist/operations teams to ensure smooth execution once a deal is won What We Are Looking For 5+ years of experience in advertising sales, business development, or account management within programmatic and digital advertising. Solid working knowledge of programmatic fundamentals (DSPs, SSPs, Ad Exchanges, and self-serve platforms), enough to sell and defend the offering with authority, even if you’re not the one operating it day to day. Proven track record building agency and client relationships and driving revenue growth across LATAM markets (regional exposure strongly preferred). Strong understanding of agency internal structures and dynamics: you know who to talk to and how to get in the door. Comfort with data at a consumption level: able to read dashboards and performance reports and turn them into a compelling client story (Salesforce, Sheets/Slides, Excel). A genuinely commercial mindset: you love prospecting, relationship-building, and closing. Programmatic is your specialty, not just a technical checkbox. Exceptional storytelling, negotiation, and presentation skills; comfortable holding a room at C-suite level. Full professional proficiency in Spanish and English What Will Make Us Really Love You Commercial drive: You love the chase: prospecting, unblocking, closing. Enough data fluency to sell: You can read a dashboard and turn it into a story, even if you’re not the one building it. Adaptability: You’re comfortable moving between a strategic C-suite pitch and a technical programmatic conversation in the same day. AI-curious by default: When a new tool shows up, you test it and fold it into how you sell (briefs, pipeline signals, prospecting) rather than just tolerating it. Passion for music, audio culture, or the creator economy: You get why audio matters to brands and to people, and that shows up in how you pitch. Why Join Aleph Impact: Represent Spotify, one of the world’s leading audio platforms, and own the growth of its programmatic business across LATAM. Growth: Aleph gives its internal talent room to learn, take on bigger scope, and grow together across a global organization. Team culture: Join a place of many cultures, perspectives, and talents, where people support each other and communication and partnership come first. Market context: Programmatic and audio advertising are among the fastest-evolving areas in digital media. You’ll work on the front line of that change with agencies and brands across the region. Flexibility: A hybrid setup (2 days per week in the Bogotá office) that balances collaboration and focus time. We use Lever, our recruitment management platform, which includes AI-powered features that may assist our hiring team in reviewing applications, analyzing CVs, and identifying relevant qualifications. These tools support, but do not replace, human judgement. All hiring decisions are made by people. For more information about how your personal data is processed, including your rights in relation to AI-assisted processing, please see our Candidate Privacy Policy or contact us at privacy@alephdigital.com. “Share our similarities, celebrate our differences.” – M. Scott Peck   #ALEPH

Location: Buenos Aires, Argentina Workplace: hybrid About Aleph Aleph is a global leader accelerating digital advertising, and fintech solutions across more than 130 high-growth markets. With more than 20 years of experience and strategic partnerships with over 50 of the world's leading digital platforms, Aleph connects media, payments, and local market expertise to enable platforms and businesses to grow and operate globally with speed and compliance. With teams in more than 90 offices worldwide, Aleph combines global scale with deep local execution. Beyond business impact, Aleph drives digital inclusion through its education initiative, Digital Ad Expert, member of UNESCO’s Global Skills Academy. About the role Aleph is seeking a strategic, high-energy Programmatic Specialist to represent Spotify across the LATAM region from Buenos Aires. You don’t need to be a hands-on trader or optimizer, but you do need to speak the language of DSPs, SSPs, and Ad Exchanges fluently enough to sell with real credibility, handle objections, and guide media agencies (agencias de medios) through the offering. What You Will Do Own revenue targets and pipeline growth for Spotify’s programmatic advertising solutions (self-serve, PMPs, always-on activations) across LATAM markets. Proactively prospect and identify new business development opportunities, and unblock stalled ones within agencies and brands, finding the right internal contact, the right angle, and the right moment to move a deal forward. Build and maintain strong relationships with agency programmatic desks, buying, strategy, and digital teams across multiple markets. Know how agencies are structured internally and how to navigate them. Evangelize Spotify’s programmatic offering to agencies and clients, driving upsell and always-on activations, and supporting partners with any questions along the way. Translate campaign performance data into insights and business narratives that resonate with clients at a strategic level. Train and mentor sales team members on programmatic positioning and talking points. Stay current on programmatic advertising trends, self-serve platform dynamics, and industry best practices to keep pitches sharp and relevant. Represent Spotify/Aleph at industry events, building market presence across the region. Work with third-party vendors and partners to strengthen the offering, and coordinate with internal specialist/operations teams to ensure smooth execution once a deal is won. What We Are Looking For 5+ years of experience in advertising sales, business development, or account management within programmatic and digital advertising. Solid working knowledge of programmatic fundamentals (DSPs, SSPs, Ad Exchanges, and self-serve platforms), enough to sell and defend the offering with authority, even if you’re not the one operating it day to day. Proven track record building agency and client relationships and driving revenue growth across LATAM markets (regional exposure strongly preferred). Strong understanding of agency internal structures and dynamics: you know who to talk to and how to get in the door. Comfort with data at a consumption level: able to read dashboards and performance reports and turn them into a compelling client story (Salesforce, Sheets/Slides, Excel). A genuinely commercial mindset: you love prospecting, relationship-building, and closing. Programmatic is your specialty, not just a technical checkbox. Exceptional storytelling, negotiation, and presentation skills; comfortable holding a room at C-suite level. Full professional proficiency in Spanish and English. What Will Make Us Really Love You Commercial drive: You love the chase: prospecting, unblocking, closing. Enough data fluency to sell: You can read a dashboard and turn it into a story, even if you’re not the one building it. Adaptability: You’re comfortable moving between a strategic C-suite pitch and a technical programmatic conversation in the same day. AI-curious by default: When a new tool shows up, you test it and fold it into how you sell (briefs, pipeline signals, prospecting) rather than just tolerating it. Passion for music, audio culture, or the creator economy: You get why audio matters to brands and to people, and that shows up in how you pitch. Why Join Aleph Impact: Represent Spotify, one of the world’s leading audio platforms, and own the growth of its programmatic business across LATAM. Growth: Aleph gives its internal talent room to learn, take on bigger scope, and grow together across a global organization. Team culture: Join a place of many cultures, perspectives, and talents, where people support each other and communication and partnership come first. Market context: Programmatic and audio advertising are among the fastest-evolving areas in digital media. You’ll work on the front line of that change with agencies and brands across the region. Flexibility: A hybrid setup (2 days per week in the Buenos Aires office) that balances collaboration and focus time. We use Lever, our recruitment management platform, which includes AI-powered features that may assist our hiring team in reviewing applications, analyzing CVs, and identifying relevant qualifications. These tools support, but do not replace, human judgement. All hiring decisions are made by people. For more information about how your personal data is processed, including your rights in relation to AI-assisted processing, please see our Candidate Privacy Policy or contact us at privacy@alephdigital.com. “Share our similarities, celebrate our differences.” – M. Scott Peck   #ALEPH

Location: Remote (Ukraine) [https://app.ashbyhq.com/api/images/user-content/d5fc9a0c-9608-448b-b96f-2a4966f020bf/4f9f4f54-aa58-4dad-a9a3-ef00b1355969/G_LINK_OWN_COVER_1.png] ABOUT US: Gismart is a value-driven mobile app developer with a strong presence in the Health & Wellness, Utilities, and Music app markets. We have achieved a significant milestone of over 1 billion downloads worldwide, taking a step toward our mission of cultivating the well-being of people worldwide. With headquarters in London, UK, Gismart is a dynamic global company with a reach extending across Europe and far beyond. Our determined team comprises over 400 individuals who bring diversity, creativity, innovation, and relentless drive to the company. Gismart unites professionals from diverse backgrounds in entertainment, music, and tech, allowing us to play to each other’s strengths and succeed as a team. OUR MISSION: Become a stepping stone on our customers’ journeys of self-improvement. OUR VALUES: - Deliver what matters - Respect and support others - Initiate and own - Voiceopenly - Execute with quality If you are passionate about mobile app development and want to join a company that’s reshaping the industry, Gismart is the place for you. We provide exciting career opportunities, a supportive workplace culture, and the chance to contribute to a team that is making a tangible impact. For more information on Gismart, visit gismart.com http://gismart.com. RESPONSIBILITIES: Daily operations - Monitor and assign incoming tickets, ensuring proper prioritization - Promptly detect and report incidents; take ownership of raised issues - Lead weekly team syncs and product training sessions - Manage schedules, capacity, extra shifts, and substitutes - Handle escalations and complex customer issues - Optimize queue management using Zendesk triggers and automations People management - Lead and mentor a team of 5–10 support agents by providing clear direction and continuous feedback - Conduct regular 1:1s and performance reviews - Initiate and oversee performance improvement plans Reporting - Track weekly performance and ensure KPI compliance - Collect and share product feedback with product teams - Collaborate with the Support Team Lead to analyze results and propose improvements REQUIREMENTS: - Advanced English proficiency (C1—C2) in both writing and speaking - Strong expertise in Zendesk, including triggers, tags, macros, and SLA settings - Experience with payment platforms (e.g., PayPal, Stripe) - Proven track record of managing teams of 5+ support agents, including mentoring, shift and capacity planning, and feedback delivery - Experience with Google Sheets: building formulas, graphs, and structured data sets - Strong analytical skills using Zendesk Explore, with occasional use of Amplitude and Tableau WOULD BE A PLUS: - Experience with Jira, Confluence, or Asana - Understanding of mobile app functionality, including versions, updates, and device compatibility - Knowledge of subscription models, including renewals, refunds, and invoicing EMPLOYEE BENEFITS: - Remote-First Culture: Our team is diverse and extensive, just like our product portfolio. We provide a flexible working schedule and let you work anywhere in the world, either remotely or in one of our corporate hubs. - Сoworking Compensation: We provide 50% compensation for coworking spaces worldwide to make sure that everyone has a comfortable and inspiring workspace. - Public Holidays Policy: Gismart observes public holidays based on the Ukrainian or Polish holiday calendars. Employees working in other locations are entitled to 12 public holidays per year - 100% Sick Leave Compensation - Mental and Physical Health: To help you stay happy and healthy, Gismart will partially cover your medical insurance, sports activities, therapy costs. - Personal Equipment Policy: Of course, we’ll provide you with all the equipment you need or cover the maintenance cost for your own tools. - Personal Learning and Development: We love to see you learn and grow, so Gismart will cover 70% of your professional development courses. We’ll also pay for 100% of corporate English courses. - Time-Off Policy: Every employee gets 18 working days of paid vacation and 3 personal days per year, with an extra day added for each year at Gismart. - Corporate Events: We are remote-first, but we love meeting up in person. Whenever possible, we organize corporate events and team-building activities across all Gismart hubs.