Вакансии

Location: Remote US Please note that all communications regarding this position will be sent exclusively from an email address ending in @planetscale.com Any correspondence relating to this role will only originate from this domain. About the role More and more PlanetScale databases are created, connected and queried by AI agents. Cursor, Claude Code, Codex and a growing list of other tools now sit between developers and their infrastructure. You will own that experience end to end. You'll make sure PlanetScale shows up everywhere developers build with AI, that our MCP server and CLI work flawlessly in every agent, and that we can measure how well it all works. Then you'll show the world how to do it well through demos, docs, blog posts, videos, and conferences. This is a hands-on role combining engineering, content creation, and a strong public voice. You'll work closely with the teams that build our MCP server, CLI, API and docs. The landscape of how developers work with AI changes fast. You'll have the opportunity to move quickly, experiment, and take the lead on the future of AI use with databases and infrastructure. Make PlanetScale great with AI tools Build and maintain the plugins for PlanetScale in every AI marketplace and directory: agent plugins, skill registries, MCP directories, IDE extension stores and AI app builders Own our integrations with AI coding tools, agent frameworks and platforms Stay current with AI tools as they launch and ensure our customers have a great experience from day one Test the PlanetScale MCP server and CLI across Claude Code, Cursor, Codex, VS Code and other clients, and catch regressions before users do Find friction in creating a database, connecting, running migrations and debugging queries from inside an agent, then fix it or drive the fix with the owning team Improve the context agents rely on: tool descriptions, skills, llms.txt, docs written for agents, and error messages agents can act on Attention to AEO (answer engine optimization): make sure agents find and recommend PlanetScale Build and maintain skills for working with Postgres, MySQL, Vitess, Neki, and PlanetScale Measure how well we're doing Build evals that run real agent tasks against PlanetScale databases Benchmark how agents perform with PlanetScale and work towards continuous improvement Track how often AI assistants and agents recommend PlanetScale for database questions, and whether what they say about us is accurate Instrument and report on agent usage: databases created by agents, time to first connection, MCP versus CLI usage, and where sessions fail Show people how to do it well Build demos and sample apps that show PlanetScale and AI tooling at their best Write docs, guides and blog posts on using databases effectively with AI, including safe access, branching and performance assessment Make videos and attend conferences to communicate with our audience how to build effectively with AI These attributes best describe you Daily use of AI coding agents, with strong opinions about what makes a tool work well with them Experience building an MCP server, plugin, CLI or SDK that real developers use Software engineering background in languages like TypeScript and Go, and comfort with APIs, OAuth and the command line Experience with writing docs, blogs, and / or video content creation Good at communicating with a broad audience and customers alike on socials Experience working with relational databases (Postgres, MySQL, SQLite), schema design, migrations, connection handling, and Postgres or MySQL in production Data fluency: designing evals, writing the queries behind a dashboard, and telling a real trend from noise Clear communication of technical ideas in writing, on video and on stage Independence and speed: spotting a gap, shipping a fix, and telling people about it Genuine curiosity about the AI tooling landscape and a habit of keeping up with it Bonus points Contributions to the MCP spec, SDKs or popular open-source MCP servers Experience writing agent skills, plugins or rules files for Claude Code, Cursor or Codex Experience with LLM eval tools and building benchmarks for agents Experience with AEO or GEO, or with tracking how LLMs surface and recommend a product A blog, YouTube channel or GitHub that developers already follow Experience with Vitess, database sharding, or running databases at scale Why PlanetScale We're redefining how high-growth companies manage data at scale—and we work with some of the most exciting brands in gaming, consumer tech, and B2B SaaS. As a Software Engineer, you'll be at the core of building the platform that powers world-class apps used by hundreds of millions of users worldwide. PlanetScale is a profitable company with a philosophy centered around building small teams of p99 individuals and is recognized as one of the fastest growing companies in America. At PlanetScale we believe in supporting people to do their best work and thrive no matter the location. Our mission is to build a diverse, equitable, and inclusive company. We strive to build an inclusive environment where all people feel that they are equally respected and valued, whether they are a candidate or an employee. We welcome applicants of any educational background, gender identity and expression, sexual orientation, religion, ethnicity, age, citizenship, socioeconomic status, disability, pregnancy status, and veteran status. If you have a disability, please let us know if there's any way we can make the interview process better for you; we're happy to accommodate! Total Compensation and Pay Transparency An employee's total compensation consists of base salary + variable comp where appropriate + benefits + equity. A member of our Talent Acquisition team will be happy to answer any further questions when we engage with you to begin the interview process. Base Salary Range: $170,000 - $220,000

Location: Remote - United States Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . Team Description: The Ads Retrieval ML team builds the machine learning systems that identify relevant advertising candidates for Reddit users. Retrieval sits at the heart of the ads delivery funnel: before downstream ranking and auction decisions, our models determine which campaigns and ads are eligible to compete. We work on large-scale retrieval across multiple objectives, placements, and geographies. Our work combines representation learning, candidate generation, nearest-neighbor search, behavioral and contextual signals, and rigorous offline and online experimentation. Role Description: We are looking for a Staff Machine Learning Engineer to provide technical leadership for the Retrieval and Targeting ML team. You will lead the design and evolution of retrieval models and modeling practices that improve relevance, advertiser outcomes, and user experience at Reddit scale. This is an applied ML role centered on retrieval modeling and end-to-end product impact. You will be expected to stay close to the technical details—from data and objective design through model development, evaluation, experimentation, and launch—while setting direction for other engineers. Responsibilities: Define the technical direction and multi-year roadmap for ads retrieval modeling in partnership with engineering, product, data science, and ads stakeholders. Design, develop, and launch candidate-generation and retrieval models for campaigns and ads across Reddit’s advertising surfaces. Apply modern approaches such as two-tower architectures, representation learning, embeddings, sequence models, graph-based methods, and other deep learning techniques when they create meaningful product value. Improve the retrieval stack across key modeling decisions, including objectives, labels, sampling strategies, hard-negative mining, feature design, embedding generation, candidate filtering, and retrieval depth. Work with approximate nearest-neighbor and vector retrieval systems, reasoning about recall, relevance, freshness, diversity, coverage, latency, and cost trade-offs. Establish strong evaluation practices that connect retrieval metrics—such as recall, precision, candidate coverage, calibration, and downstream lift—to ads and user outcomes. Lead offline analysis and online experiments, interpret ambiguous results, and translate findings into the next modeling iteration. Partner with downstream ranking, ads platform, auction, measurement, and product teams to ensure retrieval models integrate effectively into the full ads funnel. Write design documents, review code and model changes, and raise the quality bar for modeling, testing, observability, and production ownership. Mentor ML engineers and help grow the team’s expertise in retrieval, recommendation, and representation learning. Required Qualifications: 7+ years of industry experience, including substantial experience building and shipping applied ML products. Deep experience with information retrieval, candidate generation, recommender systems, ranking, or related relevance problems. Strong understanding of retrieval modeling concepts, including DNN, embeddings, two-tower or dual-encoder models, approximate nearest-neighbor search, and multi-stage retrieval. Deep experience training, evaluating, debugging, and deploying deep learning models using TensorFlow, PyTorch, or similar frameworks. Demonstrated ownership of ML projects from problem framing and data preparation through offline evaluation, online experimentation, production launch, and iteration. Strong command of experimental design and model evaluation, including how offline retrieval metrics relate to downstream business and user metrics. Experience working with large-scale behavioral, contextual, or content datasets and complex feature pipelines. Strong software engineering fundamentals and the ability to write clear, reliable, maintainable production code. Technical leadership experience: setting direction, leading complex projects, influencing partner teams, and mentoring other engineers. Excellent written and verbal communication, with the ability to explain complex modeling choices to technical and non-technical audiences. Preferred Qualifications: Experience with ads retrieval, ads ranking, ad targeting, ad serving, recommendation, search relevance, or marketplace optimization Experience modeling user, content, campaign, or ad interactions with sequential, graph, or multimodal signals Experience connecting retrieval improvements to downstream ranking, auction, conversion, revenue, or user-experience outcomes Experience in ads marketplaces at peer companies Publications, patents, or industry contributions in applied ML or ranking systems Experience with sequential modeling (e.g., RNNs, Transformers) Benefits: 100% remote opportunity (we have 4 office locations for hybrid/onsite work preference in NY, SF, LA and Chicago) Comprehensive Healthcare Benefits and Income Replacement Programs 401k with Employer Match Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support Family Planning Support Gender-Affirming Care Mental Health & Coaching Benefits Flexible Vacation & Paid Volunteer Time Off Generous Paid Parental Leave #LI-AJ1 Pay Transparency: This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/ . To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below. The base salary range for this position is: $230,000 — $322,000 USD In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews. During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable.  We will not sell your personal information or disclose it to any third party for their marketing purposes.  We will delete any recording of your interview promptly after making a hiring decision.  For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors . Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve.  Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.

Location: London Workplace: onsite THE OPPORTUNITY We are building Watcher, a coding agent security product. Watcher is deployed in production and monitors billions of agent tokens per month across engineering teams at agent-building scale-ups and multinational enterprises. We are hiring our founding Account Executive. You will own the sales cycle from qualified interest to signed contracts and build the playbook the rest of the GTM team runs on.  Our deals start with a security champion: a principal security engineer or director of product security who has seen what coding agents do inside their org and wants Watcher. Deals are won by taking that champion's interest and moving it through the rest of their organisation to a committed evaluation: the platform team that thinks it could build this itself, the CISO who has to sponsor it, the procurement and legal functions that have to let it in. That handoff, including the build-vs-buy conversation, is where deals stall today. Running it well is the core of this job. We are hiring forward-deployed engineers (FDEs) who run the technical evaluation with you. You own the commercial thread: who needs to say yes, what the evaluation has to prove, and how it converts. You'd work closely with our GTM lead and GTM associate who owns the top of the funnel. KEY RESPONSIBILITIES Convert a champion into an evaluation Find the champion in each qualified account, arm them with what they need to sell internally, and map who else has to say yes. Run the build-vs-buy conversation with platform and security engineering teams on its merits: what they would have to build, maintain and be on the hook for, against what Watcher already does. Secure an executive sponsor and convert interest into a scoped proof of value (POV) with success criteria agreed up front. Run evaluations to a decision, with FDEs Partner with FDEs on technical evaluations. They run the technical work; you keep the evaluation pointed at the decision: momentum, stakeholder coverage, and the commercial case. Build the commercial and ROI case that secures executive-level investment. Own commercial negotiation, security review, procurement and close in multi-stakeholder cycles involving security, engineering, procurement, legal and executive decision-makers. Create the way in Identify warm introductions paths via investors, advisors, clients, partners and networks. Brief connectors and draft the messaging that makes the introduction land. Capitalise on high-value engagement opportunities: speaking panels, hosted roundtables, buyer communities and embedded partners. Work with the GTM team on targeted outbound into segments where we have something specific to offer. Build the playbook and hire the team Write down what works: qualification criteria, discovery questions, the build-vs-buy argument, POV structure, pricing guidance, objection handling, security questionnaire answers. Report on pipeline health, stage conversion and what is working well enough to double down on. Product and market insights Bring honest signals back about why deals progress or stall, and what buyers compare us against when they consider building it themselves. Work with the product team on positioning, pricing, and the collateral enterprise buyers actually ask for. REPRESENTATIVE PROJECTS Turn a champion into a buyer. Take an account where a principal security engineer loves the product and nothing has moved for two months. Map who else needs to say yes, run the build-vs-buy conversation with the platform team, get an executive sponsor, and convert it into a scoped evaluation with success criteria and a date. Compress the cycle. Enterprise evaluations in this market routinely take longer than they need to. Take the process apart with the FDEs,  work out where the time actually goes, and rebuild it so an evaluation reaches a decision faster. Land a lighthouse enterprise . Take a large, slow, security-conscious organisation from first conversation through technical evaluation, security review and procurement to a production contract, and turn the process into a documented path the next one can follow. Write the playbook. By the time we add the next two people to this team, the thing that gets them productive in a month rather than six should be something you wrote. JOB REQUIREMENTS Must-haves 5+ years in GTM , with a track record of closing five- and six-figure ACV technical deals as an AE into engineering or security organisations. You have personally taken a technical champion's interest through the rest of their org to a signed contract, and you have won the build-vs-buy argument more than once. Proven success selling a technical product to technical buyers matters more to us than total AE tenure. Early-stage experience. You have sold at an early-stage company before it had a machine.You have 2+ years in a startup without mature marketing, no SDR team, no brand recognition doing the work for you. You generated your own pipeline, decided what to work on, and wrote down what worked. Technical credibility with a technical buyer . Our buyers are directors of product security, principal security engineers and engineering leaders. You can run discovery with them, understand the architecture well enough to be useful  and know when to bring in an FDE. Strong nice-to-haves You have closed into large, slow organisations. Our pipeline includes banks, quant funds and enterprise technology companies. You have run deals through security review, architecture review and procurement, and have a realistic sense of how long that takes and how to compress it. You have sold security, developer tools, or infrastructure. Non-linear background. Former founder, operator, or a hybrid role that combined selling with product or strategy. Explicitly not required Formal AI safety background. We need an excellent seller who can learn the AI safety context, and we will teach you what you need to know. Management experience. This starts as an individual contributor role. BENEFITS This role offers market competitive salary, equity, and competitive benefits. Base Salary: £85,000 - £129,000; Variable: performance incentives against ARR targets Everyone at Apollo effectively has an unlimited token budget. If a better result costs more compute, use it. Flexible work hours and schedule Unlimited vacation Unlimited sick leave Up to 6 months of paid parental leave Comprehensive health, dental and vision insurance Retirement savings with competitive employer matching Lunch, dinner, and snacks are provided for all employees on workdays Paid work trips, including staff retreats, business trips, and relevant conferences A yearly $1,000 (USD) professional development budget Relocation support and visa fees (if applicable) LOGISTICS Time Allocation: Full-time Location: This is an in-person role working out of our London office, with regular travel to conferences and customer sites. We offer flexible working hours and some wfh arrangements. Visa sponsorship: We sponsor visas in the UK. Sponsorship isn't guaranteed for every role or candidate, but if we make you an offer, we'll work with you to find the right visa route. ABOUT THE TEAM You will work directly with Kyle Dai, our GTM lead and GTM associate on the pipeline, as well as the FDEs we're hiring to run the technical evaluations alongside you. Marius Hobbhahn (CEO) advises the team. You will also interact with our other SWEs and researchers, since we intend to be "our own customer" by using our products internally for our research work. You can find our full team here. ABOUT APOLLO RESEARCH The rapid rise in AI capabilities offers tremendous opportunities, but also presents significant risks. At Apollo Research, we're primarily concerned with risks from Loss of Control, i.e. risks coming from the model itself rather than e.g. humans misusing the AI. We're particularly concerned with deceptive alignment / scheming, a phenomenon where a model appears to be aligned but is, in fact, misaligned and capable of evading human oversight. We work on the science of scheming, detection of scheming (e.g. building evaluations), and scheming mitigations (e.g. anti-scheming). We also work on control and monitoring research (see our scalable monitoring agenda). We work closely with many frontier AI companies, such as OpenAI, Anthropic, Google, Meta, Thinking Machines and others, e.g. to test their models and collaborate on the science of scheming. At Apollo, we aim for a culture that emphasizes truth-seeking, being goal-oriented, giving and receiving constructive feedback, and being friendly and helpful. If you're interested in more details about what it's like working at Apollo, you can find more information here. We also build a coding agent security product called Watcher that secures agent deployments in companies. Our goal is to reduce the probability of catastrophic incidents by securing coding agents, learning about their real-world risks, and publishing our research on how to build these control systems most effectively. Equality Statement: Apollo Research is an Equal Opportunity Employer. We value diversity and are committed to providing equal opportunities to all, regardless of age, disability, gender reassignment, marriage and civil partnership, pregnancy and maternity, race, religion or belief, sex, or sexual orientation. HOW TO APPLY Please complete the application form with your CV. The provision of a cover letter is neither required nor encouraged. Please also feel free to share links to relevant work samples, including anything you have written. About the interview process: Our multi-stage process includes a screening interview, a take-home exercise (2-3 hours), 2-3 technical interviews, and a final interview with Marius (CEO). If you want to prepare, we suggest using a coding agent heavily for a week and forming your own view on who should be buying something like Watcher, and why. Your Privacy and Fairness in Our Recruitment Process: We are committed to protecting your data, ensuring fairness, and adhering to workplace fairness principles in our recruitment process. To enhance hiring efficiency, we use AI-powered tools to assist with tasks such as resume screening. These tools are designed and deployed in compliance with internationally recognized AI governance frameworks. Your personal data is handled securely and transparently. All resumes are screened by a human and final hiring decisions are made by our team. If you have questions about how your data is processed or wish to report concerns about fairness, please contact us at info@apolloresearch.ai.

Location: London Workplace: onsite THE OPPORTUNITY We are building Watcher, a coding agent security product. Watcher is deployed in production and monitors billions of agent tokens per month across engineering teams at agent-building scale-ups and multinational enterprises. We are looking for our first Go-To-Market Associate to build Watcher's pipeline engine and bring a qualified pipeline to the Founding Account Executive.  Think of the role as a BDR / GTM engineer hybrid. Half the work is finding and reaching the right people inside the right companies. The other half is building the systems that make that repeatable: signal detection, enrichment, sequencing, reporting. A good chunk of this job should be automating the previous version of this job. There is no marketing function for Watcher today. Until there is, you own the parts of marketing that produce the pipeline: events, target personas, and getting our research in front of the people who should read it. Our ideal customer profile and target market are set together with product and the GTM lead. Within those accounts, you decide who we reach, how we reach them, and which experiments we run to find out which segments are real. You will work directly with our GTM lead. As we grow, this role can develop toward owning deals as an account executive, GTM engineering and operations, or partnerships, depending on where your strengths are. KEY RESPONSIBILITIES Build the pipeline engine Work out which companies are deploying coding agents at scale, who inside them feels the problem, and which of them we should spend time on. Research accounts and people. Work out whether we have something useful for this person and what it is. Personalize the outreach. Short, specific, honest messages that a busy security engineer will reply to. Run outbound as a set of experiments rather than a volume target: test segments, messages, and channels against each other, read the results honestly, and kill what is not working. Hand qualified conversations to the AE and GTM lead with the context they need to run them well. Pipeline operations and tooling Turn repeated manual work into tooling: signal detection for who has started deployment agents, enrichment, sequencing, CRM automation, and the reporting that shows what top of funnel is actually producing. Maintain best-in-class CRM hygiene: accurate notes, activity logging, dispositions, and next actions. Everyone has visibility where every live opportunity stands and what it is waiting on. Events and conferences Own the conference motion end to end. Decide which events are worth attending. Attendee research and prioritisation, pre-show outreach, booked meetings before the doors open, logistics on the day, and follow-up out within 48 hours. Make the team effective in the room: briefs on who is coming, what they care about, and what we want out of each conversation. REPRESENTATIVE PROJECTS Build the signal engine. Write the thing that tells us which companies started deploying coding agents at scale this month, from job posts, engineering blogs, change logs, conference talks and hiring patterns. Score them, attach the right persona, and drop them into the CRM ready to work. Own a conference end to end. Take a sponsored conference: work the attendee list, research and rank who is worth our time, run the pre-show outreach, land a target number of booked meetings before day one, and have every follow-up sent within 48 hours of the close. Write up the parts worth repeating. Make how we approach a new account repeatable. Turn the way we research and open a company into something anyone here could run, and then into something that mostly runs itself. JOB REQUIREMENTS Must-haves Around 2+ years in a role where you had to find and open conversations with people who did not know you, and nobody handed you a list: early-stage BDR or SDR, founder's associate, consulting where you were involved in business development or building a practice, solutions or customer-facing engineering, or running your own thing. You do not need to be a formally trained salesperson. If you've built pipeline from scratch in another context, we'd love to hear about it. You have a track record of building: You can show us something you built to avoid doing a task twice e.g. a scraper, an enrichment flow, a CRM automation, a vibe-coded internal tool. High agency and ownership. You see what needs doing and do it. When something stalls, you find out why and move it, rather than reporting that it is stalled. You want the responsibility of deciding where our effort goes, not just executing a list. Startup pace. Excited by a fast-moving environment, comfortable with ambiguity and changing priorities, and willing to grind when it matters. Technically curious. You need to get interested in how coding agents work and how they fail, well enough to hold a credible conversation with a security engineer and know when to hand off to someone deeper. Strong nice-to-haves Background in cyber security, developer tools, or AI/ML Comfortable leveraging AI heavily for tooling, research, drafting and operations, while holding the output to a high standard. Experience in founder-led sales. You have supported a founder or a first GTM hire directly and understand how that relationship works. Comfort with GTM tooling and light scripting. CRM, enrichment, outbound tooling, or anything you have built yourself to avoid doing something twice. Explicitly not required Formal AI safety background. We need an excellent operator who can learn the AI safety context, and we will teach you what you need to know. A sales title. BENEFITS This role offers market competitive salary, equity, and competitive benefits. Base Salary: £72,000 - £98,000; Variable: performance incentives against ARR/qualified pipeline targets. Everyone at Apollo effectively has an unlimited token budget. If a better result costs more compute, use it. Flexible work hours and schedule Unlimited vacation Unlimited sick leave Up to 6 months of paid parental leave Comprehensive health, dental and vision insurance Retirement savings with competitive employer matching Lunch, dinner, and snacks are provided for all employees on workdays Paid work trips, including staff retreats, business trips, and relevant conferences A yearly $1,000 (USD) professional development budget Relocation support and visa fees (if applicable) LOGISTICS Time Allocation: Full-time Location: This is an in-person role working out of our London office, with regular travel to conferences and occasional travel to customer sites. We offer flexible working hours and some WFH arrangements. Visa sponsorship: We sponsor visas in the UK. Sponsorship isn't guaranteed for every role or candidate, but if we make you an offer, we'll work with you to find the right visa route. ABOUT THE TEAM You will work directly with Kyle Dai, our GTM lead, and alongside the our founding Account Executive who runs the deals your pipeline feeds. Marius Hobbhahn (CEO) advises the team. You will also interact with our other SWEs and researchers, since we intend to be "our own customer" by using our products internally for our research work. You can find our full team here. ABOUT APOLLO RESEARCH The rapid rise in AI capabilities offers tremendous opportunities, but also presents significant risks. At Apollo Research, we're primarily concerned with risks from Loss of Control, i.e. risks coming from the model itself rather than e.g. humans misusing the AI. We're particularly concerned with deceptive alignment / scheming, a phenomenon where a model appears to be aligned but is, in fact, misaligned and capable of evading human oversight. We work on the science of scheming, detection of scheming (e.g. building evaluations), and scheming mitigations (e.g. anti-scheming). We also work on control and monitoring research (see our scalable monitoring agenda). We work closely with many frontier AI companies, such as OpenAI, Anthropic, Google, Meta, Thinking Machines and others, e.g. to test their models and collaborate on the science of scheming. At Apollo, we aim for a culture that emphasizes truth-seeking, being goal-oriented, giving and receiving constructive feedback, and being friendly and helpful. If you're interested in more details about what it's like working at Apollo, you can find more information here. We also build a coding agent security product called Watcher that secures agent deployments in companies. Our goal is to reduce the probability of catastrophic incidents by securing coding agents, learning about their real-world risks, and publishing our research on how to build these control systems most effectively. Equality Statement: Apollo Research is an Equal Opportunity Employer. We value diversity and are committed to providing equal opportunities to all, regardless of age, disability, gender reassignment, marriage and civil partnership, pregnancy and maternity, race, religion or belief, sex, or sexual orientation. HOW TO APPLY Please complete the application form with your CV. The provision of a cover letter is neither required nor encouraged. Please also feel free to share links to relevant work samples, including anything you have written. About the interview process: Our multi-stage process includes a screening interview, a take-home exercise (2-3 hours), 2-3 technical interviews, and a final interview with Marius (CEO). If you want to prepare, we suggest using a coding agent heavily for a week and forming your own view on who should be buying something like Watcher, and why. Your Privacy and Fairness in Our Recruitment Process: We are committed to protecting your data, ensuring fairness, and adhering to workplace fairness principles in our recruitment process. To enhance hiring efficiency, we use AI-powered tools to assist with tasks such as resume screening. These tools are designed and deployed in compliance with internationally recognized AI governance frameworks. Your personal data is handled securely and transparently. All resumes are screened by a human and final hiring decisions are made by our team. If you have questions about how your data is processed or wish to report concerns about fairness, please contact us at info@apolloresearch.ai.

Location: Global We are the creators of a new fintech era! Our mission is to change this world by making blockchain accessible to everyone in everyday life. WhiteBIT is a global team of over 1,200 professionals united by one mission — to shape the new world order in the Web3 era. Each of our employees is fully engaged in this transformative journey. We work on our blockchain platform, providing maximum transparency and security for more than 8 million users worldwide. Our breakthrough solutions, incredible speed of adaptation to market challenges, and technological superiority are the strengths that take us beyond ordinary companies. Our official partners include the National Football Team of Ukraine, FC Barcelona, Lifecell, FACEIT and VISA. The future of Web3 starts with you: Join us as an Quantitative Researcher. Requirements Education & Experience: — MSc or PhD in a quantitative field; a live trading track record outweighs credentials — 5+ years in quantitative research or trading at a top-tier HFT firm, market maker, systematic fund, or crypto-native market maker; exchange-side market-structure experience is a plus — Hands-on experience with at least one TradFi asset class (FX, futures, equities) and / or equivalent crypto asset classes; both maker and taker strategies Core Technical Skills: — Advanced probability, statistics, time-series analysis, optimization; strict validation discipline (multiple testing, out-of-sample hygiene, live–sim parity) — Market microstructure: order-book dynamics, queue position, fill probability, adverse selection and markouts, market impact — Expert Python (NumPy, pandas/Polars, PyTorch); working C++ or Rust for latency-critical components — Tick-data engineering at scale: columnar stores, cross-venue normalization, data-quality control Market Knowledge: — Crypto microstructure: CEX matching engines and fee schedules, perpetuals (funding, mark price, liquidation/ADL), cross-venue arbitrage, DEX/AMM basics — TradFi microstructure: FX ECN mechanics (firm vs last-look liquidity, prime brokerage), listed futures; low-latency architecture (tick-to-trade path, colocation, exchange protocols) — Inventory and hedging: quoting models of the Avellaneda–Stoikov class and extensions, multi-asset inventory optimization, hedging, settlement workflows, real-time risk limits and kill switches Exchange Microstructure & Mechanism Design: — Maker-taker economics and market-quality measurement: fee-tier and rebate architecture, per-segment elasticity, spread/depth/slippage/markout metrics, defenses against rebate farming and wash trading — Liquidity program design: obligation-based schemes (two-sided quoting, presence at touch, minimum depth, uptime) and incentive-based schemes (tiered rebates, credit lines, connectivity benefits) — Maker protection and flow segmentation: markout-based counterparty scoring, retail price improvement (RPI) order types, asymmetric speed bumps and latency floors, minimum quote life, self-match prevention — Exchange P&L modeling: net fee capture, subsidy budget and payback, LP unit economics from onboarding to self-sufficiency Mindset & Soft Skills: — Owner mentality with direct P&L accountability; ships to production and makes honest kill decisions — Clear written communication with traders, engineers, exchange management, and external LPs — Compliance discipline across crypto and TradFi market-abuse regimes. Responsibilities Responsibilities — Liquidity Program: — Design the program end-to-end: MM tiers, admission criteria, obligations (max spread, min depth, uptime, presence at touch), incentives, and graduation to subsidy-free self-sufficiency — Optimize the fee schedule for net capture: taker tiers priced to measured elasticity by segment; maker rebates funded from taker fees; safeguards against tier gaming — Design order-book mechanics for comfortable quoting: tick and lot sizing, post-only / iceberg / RPI order types, self-match prevention, minimum quote life, passive-liquidity protection options — Build the toxic-flow framework: markout-based flow classification, counterparty scoring, continuous monitoring, access rules or surcharges for consistently toxic takers — Own the program financial model and roadmap: subsidy budget with payback targets; phases bootstrap → organic profitability → self-sufficiency; a market-quality dashboard as the single source of truth Responsibilities — Trading Desc: — Own the strategy roadmap — crypto first, then TradFi FX and futures; design pricing, quoting, hedging, and execution as one portfolio — Run end-to-end alpha research on tick/order-book, cross-venue, funding/basis, and on-chain data — Design the inventory-aware hedging framework, portfolio risk limits, and parameter governance — Partner with engineering on low-latency implementation; validate in high-fidelity simulation and canary deployments — Own P&L attribution, TCA/markout analysis, and research standards — Lead the TradFi FX entry research workstream (LSEG FX Spot Matching, Euronext FX). Working terms Immerse yourself in Crypto & Web3:Master cutting-edge technologies and become an expert in the most innovative industry. Master cutting-edge technologies and become an expert in the most innovative industry. Work with the Fintech of the Future: Develop your skills in digital finance and shape the global market. Take Your Professionalism to the Next Level: Gain unique experience and be part of global transformations. Drive Innovations: Influence the industry and contribute to groundbreaking solutions. Join a Strong Team: Collaborate with top experts worldwide and grow alongside the best. Work-Life Balance & Well-being: Modern equipment. Comfortable working conditions, and an inspiring environment to help you thrive. 24 calendar days of paid leave. Additional days off for national holidays. With us, you’ll dive into the world of unique blockchain technologies, reshape the crypto landscape, and become an innovator in your field. If you’re ready to take on challenges and join our dynamic team, apply now and start a new chapter in your career! Let’s Build the Future Together! WhiteBIT offers all candidates an equal opportunity to join the team. All hiring decisions are made without regard to race, national origin, gender identity or sexual orientation, age, religion, disability, medical condition, marital status, familial status, veteran status, or any other legally protected characteristic of an individual. Your privacy matters to us. You can learn more about how we handle your personal data with regard to your application in our Candidate Privacy Notice .

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 Locations Amsterdam, Netherlands and London, United Kingdom 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. What you will do as a Customer Engineer The Senior 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: 8 - 12 years of experience in a customer-facing technical role, such as Solutions Engineering, Customer Engineering, Professional Services,  Sales Engineering, Technical Account Management, or as a Forward Deployed Engineer Architectural Mindset: Ability to white-board, design, and articulate complex enterprise network and security architectures clearly. Consultative & Advisory Skills: Excellent communication skills with the ability to translate deeply technical concepts into business outcomes 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 may require travel up to 20–50% to attend customer meetings, conferences, industry events, and in-person team collaboration. 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. For Netherlands based hires: Estimated annual salary is between €111,000 - €174,000. The final offer will be inclusive of time exemption, in alignment with the applicable law and collective bargaining agreements. This role is eligible to earn incentive compensation under Cloudflare’s Sales Compensation Plan. The estimated annual salary range includes the on-target incentive compensation that may be attained in this role under the Sales Compensation Plan. Equity This role is eligible to participate in Cloudflare’s equity plan 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: Dallas Who are we? Tripledot Studios is one of the largest independent mobile games companies in the world. We are a multi-award-winning organisation, with a global 2,500+ strong team across 12 studios. Our expanded portfolio includes some of the biggest titles in mobile gaming, collectively reaching top chart positions around the world and engaging over 25 million daily active users. Tripledot’s guiding principle is that when people love what they do, what they do will be loved by others. We’re building a company we’re proud of. One filled with driven, incredibly smart and detail-orientated people, who LOVE making games. Our ambition is to be the most successful games company in the world, and we’re just getting started. This role sits within our Peoplefun studio. PeopleFun is an award-winning creator of mobile games for players across the globe, and a part of Tripledot Studios, with world-class projects, resources, and infrastructure. PeopleFun is a Dallas-based game studio founded and led by game industry veterans, where game developers thrive on collaboration, creativity, teamwork, and fun. Our games are played by over 25 million players each month, and we are hard at work on a number of exciting new mobile games to fuel our future growth. We believe in bringing People together through Fun by creating best-in-class social features and communities in our games that enable our players to engage deeply with other players. We also bring our studio teammates together by creating the very best game teams, ones that foster healthy collaboration, incredible productivity, and life-long professional relationships. Job Summary PeopleFun's New Games Team is looking for a Level Designer who lives in level editors, feeds on ideation, and brings smiles to players’ faces with delightful surprises around every corner. Our team makes original casual mobile games for a mass-market audience, and we judge them by one thing above all: do players keep coming back? In this role you'll build, tune, and ship the levels that make or break that answer. You'll take the first 20 minutes of a brand-new game and make them unforgettable with the puzzly good content you author, and then build ramps of hundreds of levels that keep players hooked for days, weeks, months. Our team works hypothesis-first: we spot something in the market, theorize why it’s trending, build a clean polished game that can test it, and let players tell us what's next. You'll join a small, senior-heavy incubation team where your levels go in front of real players within weeks, not years. There’s no better, faster way to level up your design chops than sprinting with our team. Responsibilities Design, build, and tune levels in Unity or our custom level editors, and prompt AI to improve these same tools as you go. Shape the player progression across the level ramp, i.e. introducing new mechanics and pacing the difficulty level (with hard levels intentionally balanced by breathers). Invent new goals, blockers, and boosters within an existing game, and prove them out with sample puzzle layouts or vibe-coded prototypes (we’ll show you how). Use playtests to find where players struggle or get bored, and rebuild levels in response. Review level-by-level metrics (attempts, win rate, completion time, drop-off) with our data partners and retune the ramp each release. Play and tear down the top casual games on a regular basis, and bring any lessons that apply to our games back to the team. Maintain shared docs on level design & intent – featured mechanic, target difficulty, metrics or analysis of every level, so anyone on the team can work on the ramp alongside you. Partner with engineers to improve the game, including procedural and AI-assisted level generation. Move across two or more prototypes at different stages, and let go of work quickly when a test tells us to pivot. Requirements 2+ years of professional level design experience on casual games, OR 3+ years of professional experience in related disciplines on mobile games. Hands-on experience building levels using level editors. Comfort with Unity and the basic tools of game development (like source control) Working knowledge of level design fundamentals: progression, pacing, difficulty curves, and onboarding (FTUE). Demonstrated experience revising your own designs based on playtest feedback. Clear written and verbal communication of design intent, to collaborate with artists, animators, engineers, and product partners. Ability to work on a hybrid schedule from our Dallas-area office. Nice to have Shipped levels in a puzzle, word, block, or match game, with samples you can share (level breakdowns, ramp sheets, or a portfolio). Experience reading level funnels and tuning from data; familiarity with tools like Looker, BigQuery, Tableau, etc. Experience prototyping new mechanics with AI (or on paper or in whitebox) to test them before engineering investment. Fluency with spreadsheets for authoring and tuning content (formulas, ramp tables, parameter sheets). Experience taking a game from prototype through soft launch, or working on an incubation team. Scripting experience (C# or Python), or experience with procedural or AI-assisted content generation. Experience designing or evaluating A/B tests on level content. Recent examples of silly-little-prototypes or actually-useful-tools you’ve built prompted AI to create for your amusement or utility. A habit of playing current top-grossing casual games, explaining why they work, and spotting the most salient innovation Don't meet every qualification? Research shows many great candidates hold back unless they check every box. If this role excites you and you can build great levels, we'd love to hear from you. Working at Tripledot Time Off: Flexible Discretionary Time Off policy in addition to bank holidays to relax and refresh throughout the year. Financial: Generous 401k match, discretionary bonuses, and competitive salaries. Health & Wellness: Comprehensive Medical, Dental, and Vision coverage. Employee Assistance Program: Anytime you need it, tap into confidential, caring support with our Employee Assistance Program, always here to lend an ear and a helping hand. Continuous Professional Development: Propel your career with continuous opportunities for professional development. Family-Friendly Culture: A generous parental leave policy and a supportive, family-friendly culture. Regular company events: Yearly on-site events that celebrate our achievements and our team spirit. The anticipated base salary range for this role is $80,000–$105,000. Compensation decisions are made based on the unique qualifications, experience and circumstances of each candidate. Actual compensation is determined based on a variety of factors, including, but not limited to an individual's skills, experience, education, training, licenses and certifications (where applicable), as well as business and organizational needs. The final compensation package will be based on the specific position offered in addition to a full range of medical and other benefits. Tripledot Studios is proud to be an equal-opportunity employer that is committed to inclusion and diversity. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status, or other legally protected characteristics. As part of our interview process, we may use AI-enabled tools to assist with note-taking and summarizing conversations. These tools are used only to support our recruiters and interviewers. They are not used to screen applications or make hiring decisions. All candidate evaluations and hiring decisions are made by people. This opening is for an existing vacancy. All legitimate Tripledot roles are only posted on our official careers page and LinkedIn and we do not conduct job interviews via messaging apps like WhatsApp, Telegram or others. We never ask for personal or financial information during interviews. Sensitive information is only ever requested after a formal written offer through official channels.  Any attempt to do so may be the result of a scam or phishing attack, and you should not engage. Our in-house recruitment team will only contact individuals through their official Company email addresses (tripledotstudios.com)

Location: London, United Kingdom - Deliveroo Our Global Structure Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team. Join us in our mission to transform the way people shop and eat, where impact, innovation and growth drive everything we do. Our Product team defines how millions of people experience Deliveroo, turning complex marketplace challenges into simple, high-impact solutions. Working at the intersection of data, design and engineering, we set direction, prioritise what matters most, and deliver outcomes that move the business forward. We're looking for a Staff Conversation Designer to join in London and set the design direction for AI-powered support across Deliveroo, DoorDash and Wolt. You'll bring a strong AI fluency, technical practice, and editorial point of view to build and shape conversations powered by our LLM models: deciding what a conversation needs to say, what to leave out and how to make each exchange clear, useful, and worthy of people's trust. You'll shape the personality, voice, tone and experience principles that express our brands, local language and support philosophy. You will craft conversation specs, prompts, and evals, annotate data, and co-build the tools and harness that drives our experience. Success means fewer avoidable problems, better resolutions when help is needed, and stronger design practices that help teams deliver those outcomes consistently. What You’ll Be Doing Set support conversation strategy across support journeys, connecting what people need in the moment, what the business can promise, and what operations can actually do. Influence roadmaps with Product, Engineering and Operations, deciding where to invest, what to sequence first and how to balance quality, speed and impact. Design and maintain conversation flows . Lead proactive guidance, chat and voice experiences from definition through launch, anticipating needs to prevent or resolve problems before people ask for help. Create and maintain multi-turn conversation specs covering context, interruptions, changing intent, clarification, error recovery, fallback paths and human handoffs without repetition. Prototype new conversational experiences . Invent and test new conversational patterns, interaction paradigms, personas, and support experiences. Use LLMs and code to explore how people could ask for help, act on options and move between chat, voice and other interfaces. Work with Engineering to shape the information, actions, and human judgement these experiences need, using working prototypes and user feedback to decide what to pursue. Shape voice, tone and behaviour . Set the editorial direction for support conversations across brands, markets and modalities. Write and iterate on system prompts and persona definitions that express this direction through model behaviour. Make deliberate choices about wording, pacing and tone, adapting to local voices, policies and access needs while keeping conversations useful and promises accurate. Build evaluation datasets and testing plans . Establish how teams evaluate conversation quality before and after launch. Create evaluation datasets, testing plans and scoring rubrics to test conversation flows and model behaviour. Define annotation guidelines and annotate conversations for evaluation and model training, calibrating judgments so teams assess quality consistently. Combine these evaluations with research, performance data and reviews of hundreds of transcripts to improve accuracy, resolution quality and customer effort, and influence what the team prioritises. Design conversational safeguards . Identify conversational risks and define, implement and test guardrails. Address hallucinations, harmful or biased responses, and requests outside the service’s scope. Define how conversations protect sensitive information, stay within the system’s authority to act, and acknowledge uncertainty or seek human judgement. Raise conversation design capability . Help the wider Studio develop technical fluency and conversational judgement through mentorship, education and shared tools. Build reusable prompt guidance, evaluation tools and working practices with design and cross-functional peers, and lead their adoption across teams to improve conversation quality and inform product priorities. What You’ll Need to Thrive Work samples . Work samples showing strong editorial and conversational judgement, whether through conversational systems, content programmes or shipped products. Show your personal contribution, the direction you set, alternatives you explored and evidence of improved outcomes. We welcome different formats that make your thinking, execution and influence clear. Strategic leadership . Experience setting direction across teams and influencing product priorities, with examples of resolving ambiguity and making trade-offs between user needs, commercial goals and technical constraints. Editorial judgement . A strong editorial point of view, backed by excellent writing and editing. You can explain why a conversation needs a particular message, sequence or tone, cut what gets in the way and give others specific feedback that improves the work. Your background may be in editorial, content design, linguistics, product design or another discipline; what matters is how you apply that judgement to interactive experiences. Hands-on AI practice . Practical fluency with LLMs and code, demonstrated through working AI prototypes and direct investigation of model behaviour. You can distinguish conversational problems from limitations in data, tools or the wider system. Service design judgement . The ability to connect individual conversations to the wider service, including user intent, context, available actions and agent workflows. Your decisions account for accessibility, localisation, privacy and situations that need human intervention. Evaluation and training experience . Experience developing conversation evaluations and annotating model-training data, with evidence of how qualitative and quantitative findings improved model behaviour and informed product decisions. Impact beyond your own work . A track record of improving other teams’ design quality through mentorship, critique and shared tools or practices they’ve adopted. Why Join Us? At Deliveroo, you’ll do work that matters, solving real-world problems in a three-sided marketplace that’s constantly evolving. We’re food lovers, problem solvers, community builders and more, brought together by a shared drive to make things better. Working here you can expect to: 🔧 Solve meaningful problems at real scale Work on a complex, always-on marketplace that impacts millions every day. 🌱 See your impact, fast Ship, test and improve ideas quickly in a low-hierarchy, high-ownership environment. 🧠 Grow through challenge and ownership Take on big, ambiguous problems and accelerate your career with strong support. 🌎 A culture built for builders High standards, collaboration, flexible working and continuous learning. ​​💰 Share in the success you help create Competitive salary and equity options, so you’re rewarded for the impact you make. ➡️ Want a deeper look at how we build? Check out our Tech Blog . Diversity, Equity and Inclusion At Deliveroo, we know that a great workplace reflects the world around us and that true diversity and inclusion make us stronger, more creative, and better at what we do. We’re committed to fostering an environment where everyone can do their best work and feel they belong. We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief. If you have a disability or long-term health condition and need support to apply for one of our roles, or require any reasonable adjustments during the recruitment process, you’ll have the opportunity to let us know once you’ve submitted your application. We’ll share details on how to request support so we can ensure you have a fair and equitable experience. If you’re excited about making a real impact in a fast-moving marketplace and growing your career alongside ambitious, supportive teams, we’d love to hear from you! Beware of recruitment scams: DASH Brands will never ask you to pay money or share sensitive financial information during hiring — learn more about DASH Brands' legitimate recruiting process at careersatdoordash.com/recruitment-scam-awareness .

Location: Warsaw, Poland; Madrid, Spain; Tbilisi, Georgia; Sofia, Bulgaria; Yerevan, Armenia; Podgorica, Montenegro CloudLinux is a global remote-first company. We are driven by our principles: do the right thing, employees first, we are remote first, and we deliver high-volume, low-cost Linux infrastructure and security products that help companies to increase the efficiency of their operations. Every person on our team supports each other and does what we can to ensure we all are successful. Check out our website for more information: https://cloudlinux.com/ Imunify360 is CloudLinux's security suite for Linux web servers: real-time and background malware scanning, automated cleanup, a WAF, runtime PHP protection (Proactive Defense), a database malware scanner, and IP reputation. It runs on hosting providers' shared, VPS, and dedicated servers, so new web-malware campaigns land on our fleet early. We sit on one of the largest labeled corpora of live web-server malware in the industry: files, verdicts, cleanup outcomes, and analyst decisions collected from production hosting servers every day. It already drives our signatures, heuristics, and ML models, and there is far more to get out of it. We are looking for a Senior ML Engineer who will turn that data into detection that ships — classifiers, LLM-assisted triage and generated signatures — and keep exploring new ML/LLM methods against it, measured by the product's false-negative and false-positive rates, not by notebook accuracy. Our dataset focuses on web malware — PHP, JavaScript, HTML phishing kits, infected WordPress and Joomla plugins and themes, database injections — with the context around each file. What you'll work with: Malware samples from production servers, with verdicts and analyst decisions Years of signatures and detection rules Customer-reported false negatives and false positives Runtime behavior of code on live sites Web-attack traffic File metadata and how files spread across servers Cleanup outcomes, including what came back What you will do: The goal is 10x more malware detected at the same or lower false-positive rate. Hand-written rules and faster pipelines will not get there; models trained on our data might. Decide which files on a server deserve a closer look, within tight CPU and memory budgets Tell malicious code from benign at fleet scale and a sensible cost per file Generate detection signatures automatically from new campaigns Catch malware that only looks malicious in context, such as phishing pages and script injections Route each file to the right detection engine Make cleanup precise so sites stay clean afterwards Prove each model improves detection before it ships How we work: You get an experimentation track, GPUs, and a direct line to leadership; in return, you bring numbers, not opinions. Remote-first, async across UTC−5 to UTC+8. Decisions are written down (ADR-Lite) and public by default. Hardware follows evidence: Each training direction starts with dedicated GPUs on our own bare metal; leadership has committed to fund more when the case is made with data. Agentic engineering: Claude and Codex are the default tools, wired to GitLab, Jenkins, Redash, Jira, and Slite through MCP servers. We look at how engineers work with agents — context, specificity, review quality — not only at output. Close to ground truth: You work daily with malware analysts, detection and infrastructure engineers, and the rest of our ML team. Ship gates: No model or build goes out if it raises false positives or false negatives on our past-error sets. Blameless post-mortems within 24 hours. What you'll deliver: You own the path from raw samples to a model in production, and the numbers that prove it helped. First month: A first model trained on production data and measured against today's engines — suspicious-file triage or a metadata model. The evaluation harness in place: splits by time and campaign so families don't leak, and a regression set from past FPs and FNs. By month 3: Several models in production: some in shadow mode building evidence, some live and producing real detections, all gated on the past-error regression set. A training setup that keeps its GPUs busy. A written proposal (ADR) for the detection cascade, with cost per file and hardware needs. By month 12: Models are a main source of new detections, reported as share of new detections and FN-rate trend. Retraining on fresh analyst and FN labels on a fixed cadence. Generated signatures inside the analyst workflow. Two or three parallel training directions that other engineers can run with your tooling. Requirements What you bring: 5+ years building ML systems that ran in production, including 2+ in an adversarial domain: security, abuse, fraud, or spam. Y ou have trained and fine-tuned transformer models yourself — data preparation, tokenizing code, LoRA/QLoRA or full fine-tunes, distillation, quantization — not only called hosted APIs. Classic ML depth: gradient boosting, linear models on sparse features, calibration, class imbalance, and judgement on when these beat an LLM. Evaluation discipline: leakage-free splits by time and family, precision at a fixed false-positive budget, regression sets, and an honest account of why production will differ from offline. Inference cost engineering: you have measured throughput and latency and made a model fit a CPU or memory budget (ONNX, llama.cpp, vLLM, int8/int4). Strong Python, PyTorch and the Hugging Face stack; SQL on large analytical tables (ClickHouse or similar). Familiarity with PHP or JavaScript , or willingness to pick it up working with our malware analysts. You use AI coding agents daily and can show how. English at upper-Intermediate (B2) level or higher , with particularly strong written communication for async work. It is a strong plus if you have: Web malware, webshells, phishing kits or WordPress security experience. Models over code: AST or token features, code LLMs, graph models on program structure. Malware clustering and similarity analysis. Multi-GPU training on your own bare metal; MLflow or Weights & Biases; dataset versioning. Go or Rust, for on-server inference. Published work or talks on ML for security. Benefits What's in it for you? A focus on professional development. Interesting and challenging projects. Fully remote work with flexible working hours, that allows you to schedule your day and work from any location worldwide. Paid 24 days of vacation per year, 10 days of national holidays, and unlimited sick leaves. Compensation for private medical insurance. Co-working and gym/sports reimbursement. Budget for education. The opportunity to receive a reward for the most innovative idea that the company can patent. By applying for this position, you consent to the processing of your personal data as described in our Privacy Policy ( https://cloudlinux.com/candidate-privacy-notice ), which provides detailed information on how we maintain and handle your data.

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's Beneficial Deployments team brings Claude to organizations doing some of the world's most important work across the nonprofit and education sectors. These organizations share a problem: mission-critical work, thin budgets, and little slack to figure out new technology on their own. Our Customer Success team helps them go from first login to Claude being part of how their teams work, but we cannot do that one organization at a time, nor should we. The sector already has trusted intermediaries these organizations turn to first: networks, capacity builders, funder technical assistance providers, community colleges, and fellowship programs. This role exists to make those intermediaries as effective at activating and training organizations on Claude as our own Customer Success team is. As the Scaled Enablement Lead, you'll build the Claude for Nonprofits train-the-trainer program that qualifies intermediaries to onboard organizations and deliver Anthropic-designed workshops on our behalf. You'll own the kits, credentials, and quality gates that let them run the show without an Anthropic CSM in the room. You'll also own the enablement thinking behind scaling impact through Claude Corps : how what fellows learn and build serves every organization we support, not only the ones that host them. The people you enable are not selling Claude. They are trainers, implementers, and program staff whose job is to help mission-driven organizations meaningfully adopt AI. Your job is to make sure these intermediaries can do that with Claude, to the same bar we hold ourselves to, and to help them evolve their offerings as we learn what these organizations need. The measure of success for this role is organizations activated and trained well without Anthropic delivering it. You'll be half program builder, half facilitator. You'll design and deliver the first cohorts yourself, then make the system repeatable: kits, qualification paths, credentials, teach-back gates, and a refresh rhythm that keeps content current as our products change. You'll build on the operating model and certification infrastructure of Anthropic's Education team and own everything specific to this audience, working closely with Beneficial Deployments Customer Success, Partnerships, Claude Corps program leadership, and our Education teams. This is not a partner account management or alliances role, and it carries no quota. It is not a book-of-business Customer Success role either, though you'll spend time with organizations to stay grounded in what these nonprofits truly need. The role reports to the Customer Success Lead for Beneficial Deployments, has no direct reports today, and may grow into people management as the program scales. Expect periodic travel for in-person cohorts and sessions. Key responsibilities: Own the Claude for Nonprofits train-the-trainer program end to end: its tracks, the qualification path for each, the credential, and recertification Build the kits intermediaries teach from: an activation playbook covering kickoff, admin setup, launch, and Day 30/60/90 reviews, and workshop-in-a-box modules starting with AI fluency and use case discovery, each with a deck, facilitator guide, demo scripts, sample data, and workbook Recruit and qualify a pilot cohort of anchor intermediaries, then open a repeatable application process that routes each to the right track and the right home, whether the Claude Partner Network or a Beneficial Deployments credential Design and deliver enablement for network intermediaries, adapting the program to how each reaches and supports its members, and help them evolve their offerings as we learn what organizations need Build the connective tissue among intermediaries so they learn from each other: shared office hours, a facilitator cohort that stays together after qualification, and a clear path for bringing new intermediaries along Support the enablement thinking for Claude Corps: how we extend the reach of fellows and the organizations around the program, and how what they learn feeds back into the enablement every customer receives Hold the quality bar when Anthropic is not in the room through teach-back gates, graded mock sessions, shadowing, and session satisfaction and activation quality at or above Anthropic-led benchmarks Run the program as one system: content intake and refresh calendar, production standards, resource hub organization, learning management system courses and assessments, and the agreement and attribution model for intermediaries acting on Anthropic's behalf Own the program's numbers, including approved trainers, collaborator-led activations and workshops, the Anthropic effort required per organization activated, and quality against benchmark, and use them to decide where the effort goes next Be the field voice for intermediaries inside Anthropic, bringing what they learn back into our enablement content, product feedback, and engagement model Minimum qualifications: 7+ years of experience in enablement, training, or program management Train-the-trainer at scale. You have built and run a program that qualified other people to deliver your training consistently without you in the room: a certified facilitator network, a partner or community education program, or an instructor credential. Learning design and delivery. You have designed adult learning experiences end to end, including curriculum, facilitator guides, and assessments, and delivered them live Nonprofit ecosystem fluency. You have worked with or inside the intermediaries that reach mission-driven organizations (networks, capacity builders, funders, technical assistance providers) and understand how they influence adoption Hands-on proficiency with AI tools. You use Claude and/or other AI tools in your day to day and understand their impact firsthand Preferred qualifications: Comfort being the single owner of a program while depending on teams you do not manage Ownership of, or close partnership with, a certification or badging program, including assessment design and recertification Experience with Skilljar or another learning management system, and with partner portals or resource hubs Facilitation of change management or AI fluency programs for non-technical teams Time at a capacity-building organization, an intermediary, or an edtech or technology company serving the sector Experience leading work through contractors or vendors while keeping several programs coherent The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $265,000 — $320,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco; New York; Seattle Workplace: Hybrid ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE AI is being built by many companies at once. Model labs train more capable models, hyperscalers provide infrastructure and distribution, developers build new AI products, and a growing set of tools gives agents more to work with. Baseten sits at the center of all of it, as the inference platform that developers and large companies use to run AI in production. We’re hiring a backend/distributed systems engineer to join our Product Platform in following areas: - Commercialization, billing, and partnerships - Developer productivity and agentic development - Observability platform Please come join our growing team to work on exciting problems. A few sample projects and responsibilities will include - Design and build scalable telemetry ingest and storage pipelines for metrics, logs, and traces across Baseten’s multi-cloud infrastructure - Own and evolve core observability platforms, driving migrations and architectural improvements that improve reliability, reduce cost, and scale with organizational growth - Build world class commercialization and billing systems - Work on some of the most strategic and exciting partnership integrations - Develop internal infrastructure and tooling that improves developer velocity, CI/CD, and deployment safety. - Own the internal AI agent platform end to end — architecture, build, rollout, operation, measurement. - Own Baseten's testing strategy end to end — define the standards, the tiers, and the tooling that engineering teams build against. - Drive adoption through developer experience — good defaults, clear docs, low friction — not mandate. - Improve platform reliability through better alerting, incident tooling, and production debugging workflows. - Lead technical design for cross-team projects and make sound tradeoffs between speed, quality, and long-term maintainability. - Partner with infrastructure, model performance, and product teams to understand what they need to see and ship faster. - Raise the engineering bar through code review, mentorship, and clear technical writing. REQUIREMENTS - Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent experience. - 5+ years of relevant industry experience, with a focus on building scalable backend systems and platforms. - Experience building or operating observability systems (logging, metrics, tracing) or internal infrastructure at scale. - Proficiency in Python, Go, Rust, or a similar backend language. - A firm grasp of quality and engineering principles: you understand both the what and the why. - Strong systems-level thinking: you understand how the components of a distributed system interact and how data flows through each part. - Platform mindset: you build for adoption and self-service, treat internal engineers as customers, and would rather ship a good default than write a style guide. - Excellent written and verbal communication skills. BENEFITS - Competitive compensation, including meaningful equity - (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!) - Paid parental leave - Fertility and family-building stipend through Carrot - (U.S. only) Company-facilitated 401(k) - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).

Location: Singapore Workplace: Hybrid About Cantina Cantina Labs develops social AI technologies, including real-time models that enable expressive, lifelike characters. Our work connects advances in video generation and multimodal AI with new ways for people to create, communicate and interact. These capabilities underpin our flagship platform, Cantina, and the broader experiences we are building. About the Role We’re looking for a Visual Data Curation Specialist to join our growing research team in Singapore. You will identify and evaluate image and video sources that support the development of our video generation and multimodal models. This role combines visual expertise, research and analytical judgment. You’ll work closely with researchers and engineers to understand data requirements, translate them into sourcing priorities, and develop a systematic approach to assessing content quality and relevance. You’ll own sourcing and curation projects from initial discovery through review and refinement, helping the team make better decisions about the visual data used in model development. What You’ll Do - Identify and evaluate image and video sources across creator communities, specialist websites, archives and platforms such as YouTube, TikTok, Bilibili, Instagram and Vimeo. - Partner with researchers to translate model development priorities into clear sourcing briefs, selection criteria and content categories. - Assess content across aesthetics, technical quality and research relevance, considering factors such as composition, lighting, resolution, camera movement, subject motion and visual consistency. - Build and maintain a structured source catalogue with representative examples, relevant metadata, quality assessments and clear recommendations. - Identify gaps in coverage across subjects, styles, environments and types of motion, and propose targeted sourcing approaches to address them. - Review sample content with research and engineering colleagues, incorporate feedback and refine selection criteria as requirements evolve. - Document source provenance and available usage information, flagging ownership, licensing or access questions for review. - Develop repeatable curation workflows, tagging systems and quality guidelines, and identify tools that improve the efficiency and consistency of the work. What You’ll Bring - Strong visual judgment and the ability to explain how an image or video meets creative, technical, or research requirements. - A background in film, photography, animation, design, visual arts, media, or a related field, demonstrated through education, professional experience, or a portfolio. Prior experience in machine learning is not required. - Strong research skills, including the ability to investigate unfamiliar topics, assess sources, and turn findings into useful recommendations. - A systematic approach to organizing information and confidence using spreadsheets, databases, or digital asset management tools. - Clear communication, with the ability to translate visual observations into precise feedback for technical colleagues. - The ability to work independently, clarify open-ended requirements, prioritize tasks, and take ownership of work quality. - Curiosity about generative AI and the ability to learn new tools and workflows quickly. Prior machine learning experience is not required. Nice to Have - Hands-on experience in photography, filmmaking, video editing, animation, or other visual production. - Experience in content research, editorial curation, digital asset management, or archive research, including knowledge of visual content communities across platforms and cultures. - Familiarity with dataset curation, annotation, quality assurance, or model evaluation. - Experience with generative image or video tools, basic scripting, SQL, or workflow automation. Benefits We Offer - Competitive salary and generous company equity - Personal time off and paid holidays - Health insurance - Global travel insurance: Covers you when traveling internationally - Monthly spending stipend: $500 (~S$635) - Equipment: All equipment needed for your home office

Location: Remote - United States Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . Reddit is continuing to grow our teams with the best talent. This role is completely remote friendly within the United States. If you happen to live close to one of our physical office locations (San Francisco, Los Angeles, New York City & Chicago) our doors are open for you to come into the office as often as you'd like. Safety is central to Reddit’s mission and long-term health. Safety & Mods Data Science operates as a closed-loop system: Safety Insights helps the organization understand, measure, and prioritize risk, while Safety Enforcement Data Science builds and optimizes the models, rules, and systems that detect and mitigate abuse effectively, efficiently, and fairly. We are looking for a Senior Data Scientist to join Safety Enforcement Data Science. You will own one or more defined enforcement problem areas and translate ambiguous abuse risks and written policy into measurable signals, labels, detection approaches, actioning logic, and evaluation plans. You will work closely with Product, Engineering, Machine Learning, Policy, Safety Operations, Threat Intelligence, and Safety Insights partners to turn analysis into scaled mitigation. This is a hands-on role. You will investigate adversarial behavior, prototype and evaluate models and rules, tune decision thresholds, define launch guardrails, diagnose enforcement gaps, and monitor systems after deployment. You will also help the team use modern AI methods—including language models—where they improve detection, investigations, labeling, or operational workflows, with rigorous evaluation and appropriate human oversight. This role may involve exposure to sensitive content and participation in an incident-response on-call rotation, including occasional work outside normal hours. Responsibilities: Own the enforcement lifecycle. Lead a defined abuse or enforcement problem from problem framing and signal discovery through labels and taxonomies, model or rule development, thresholding, rollout, monitoring, and iteration. Discover and characterize abuse. Analyze large-scale behavioral, content, account, and network data to identify adversarial patterns, emerging threats, and gaps in existing mitigations. Build and evaluate decision systems . Develop models, classifiers, scoring systems, rules, and analytical prototypes using the statistical, machine-learning, or GenAI methods best suited to the problem. Define decision-quality standards. Create evaluation frameworks that address precision, recall, calibration, coverage, robustness, fairness, user friction, reviewer capacity, and other operational costs—not model performance in isolation. Ship with engineering partners. Partner with Engineering and Safety ML to productionize promising approaches; define data and logging needs, launch guardrails, monitoring and alerting, escalation paths, and rollback criteria. Translate policy into systems. Work with Policy and Safety Operations to convert written policy and product requirements into modelable targets, labels, decision rules, reviewer workflows, and measurable enforcement outcomes. Measure real-world impact. Design staged rollouts, experiments, and observational analyses that test whether interventions reduce harm while managing false positives and downstream effects on users, communities, and operations. Respond and learn. Support investigations and urgent escalations, identify mitigation options, conduct post-incident analyses, and turn one-time findings into durable detection or monitoring improvements. Scale the team’s effectiveness. Build reusable datasets, evaluation harnesses, monitoring tools, and documentation; communicate clear recommendations to technical and non-technical partners; and mentor junior peers when opportunities arise. Stay ahead of the threat landscape. Track emerging abuse tactics and advances in detection, adversarial ML, language models, synthetic data, and human-in-the-loop safety systems, and apply them pragmatically. Required Qualifications: Education & Experience: Ph.D. with 4+ years OR Master’s degree with 8+ years* of relevant industry experience in Data Science, Applied Science, Economics, or a related quantitative role (e.g., Statistics, Computer Science, Operations Research). Applied experience in safety, enforcement engineering, fraud, or similar fast-paced, adversarial domains where data may be incomplete or evolving. Expertise in SQL and Python to write production-grade, reusable analytical code and contribute directly to data pipelines. Strong background in statistical analysis, experiment design, causal modeling, and ML techniques (e.g., classification, ranking, anomaly/pattern detection). Practical knowledge of evaluating real-world decision systems, including sampling, label quality, class imbalance, precision/recall, calibration, thresholding, drift, and monitoring. Proven ability to deconstruct ambiguous problems into scopable components, bias toward action, and drive impactful decisions alongside Product, Engineering, Operations, and Policy teams. Exceptional communication skills with demonstrated ability to convey complex technical concepts, tradeoffs, and recommendations to both technical and non-technical stakeholders. Preferred qualifications Experience in Trust & Safety, integrity, fraud, spam and abuse, account security, cybersecurity, risk, content moderation, or another adversarial domain. Experience with one or more enforcement-relevant methods such as graph or network analysis, NLP, embeddings, sequence or behavioral modeling, weak supervision, synthetic data, or human-in-the-loop evaluation. Experience applying language models to detection, investigations, labeling, reviewer assistance, or workflow automation—and measuring quality, cost, latency, and safety tradeoffs. Experience partnering with engineers to launch and monitor models or rules in production, including incident response and post-launch tuning. Experience designing prioritization or triage systems for human review operations, including analysis of reviewer quality and capacity. Experience assessing fairness, bias, privacy, and policy-aware tradeoffs in automated decision systems. Benefits: Comprehensive Healthcare Benefits and Income Replacement Programs 401k with Employer Match Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support Family Planning Support Gender-Affirming Care Mental Health & Coaching Benefits Flexible Vacation & Paid Volunteer Time Off Generous Paid Parental Leave #LI-SP1 Pay Transparency: This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/ . To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below. The base salary range for this position is: $190,800 — $267,100 USD In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews. During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable.  We will not sell your personal information or disclose it to any third party for their marketing purposes.  We will delete any recording of your interview promptly after making a hiring decision.  For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors . Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve.  Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.

Location: Remote (United States | Canada) Workplace: Remote 1Password is growing. We’ve surpassed $500M in ARR and we’re continuing to accelerate, earning a spot on the Forbes Cloud 100 for four years in a row and teaming up with iconic partners like Oracle Red Bull Racing. About 1Password At 1Password, we’re building the foundation for a safe, productive digital future. Our mission is to unleash employee productivity without compromising security by ensuring every identity is authentic, every application sign-in is secure, and every device is trusted. We innovated the market-leading enterprise password manager and pioneered Unified Access Management, a new cybersecurity category built for the way people and AI agents work today. As one of the most loved brands in cybersecurity, we take a human-centric approach in everything from product strategy to user experience. Over 180,000 businesses, from Fortune 100 leaders to the world’s most innovative AI companies, trust 1Password to help their teams securely adopt the SaaS and AI tools they need to do their best work. If you're excited about the opportunity to contribute to the digital safety of millions, to work alongside a team of curious, driven individuals, and to solve hard problems in a fast-paced, dynamic environment, then we want to hear from you. Come join us and help shape a safer, simpler digital future. The Developer Relations team builds developer tooling and creates awareness through events, social channels, and community activity. In this hands-on role, you’ll turn that attention into active users by owning the journey from first touch through signup, installation, first success, and continued engagement, while also owning the Developer Hub as the main conversion surface. By helping more developers discover and adopt 1Password’s developer tooling, you’ll contribute to the company’s mission and growth. How we’re using AI today Our Engineering, Product, and Design teams are thoughtfully integrating AI across the full software and product development lifecycle to move faster without sacrificing quality or security. In practice, that looks like engineers using AI-assisted coding tools to accelerate reviews and catch bugs earlier, product managers synthesizing user research at scale, and designers rapidly prototyping and iterating with AI-generated mockups. We approach AI the same way we approach security: with clear principles, human accountability at every consequential decision point, and rigorous evaluation before anything ships to customers. This is a remote opportunity within Canada and the US. What we're looking for: • 4+ years of experience in developer marketing, lifecycle or customer relationship management (CRM) marketing, or growth marketing for a technical or developer-facing product. • Proven experience building lifecycle programs that improved activation and retention, with measurable results. • Hands-on experience with marketing automation and lifecycle tools such as Customer.io http://Customer.io, HubSpot, Braze, or Iterable, as well as product analytics tools such as Amplitude, Mixpanel, or PostHog. • Experience owning or substantially improving website conversion performance, including A/B testing. • Strong writing skills, with an instinct for what developers find useful and credible. • Comfort working with engineers and developer advocates and with technical concepts such as application programming interfaces (APIs), command-line interfaces (CLIs), software development kits (SDKs), and documentation. You do not need to be a developer, but you should be able to try the product yourself. • Ability to work independently and communicate clearly in a remote, async-friendly team. Preferred: Experience with product-led growth, free-to-paid conversion, open source adoption, event and community programs, Structured Query Language (SQL), Hypertext Markup Language (HTML), Cascading Style Sheets (CSS), scripting, search engine optimization (SEO), docs-led growth, or developer communities such as GitHub, Discord, Reddit, Hacker News, X, or LinkedIn. What you can expect: • Build capture-to-activation flows for leads from conferences, meetups, hackathons, webinars, and social channels, including QR codes, event-specific landing pages, follow-up sequences, and starter kits. • Work with Developer Relations teammates so every event, talk, and social moment has a clear call to action, tracking, and post-event nurture plan. • Turn social engagement, including launches, threads, demos, and community moments, into measurable traffic and signups through the right landing pages and offers. • Design and run lifecycle programs across onboarding, activation, adoption, re-engagement, and expansion using email, in-product messaging, and community channels. • Define activation for the product, build programs around milestones such as a first application programming interface (API) call, successful build, or integration, and segment messaging by behavior, role, language, technology stack, and source. • Own the Developer Hub’s strategy, messaging, and conversion across its homepage, product pages, community pages, and events pages. Run continuous testing across copy, calls to action, page structure, and signup flows, and partner with Design, Engineering, and Documentation to improve time-to-first-value. • Write or direct tutorials, quickstarts, sample applications, changelogs, and email content; build reporting from first touch through activation and retention; and share findings that help shape the roadmap and messaging. Early success will include auditing the funnel, launching event follow-up and onboarding programs, and improving signup-to-activation, event-to-user, and Developer Hub conversion. USA-based roles only: The annual base salary for this role is between $133,000 USD and $186,000 USD, plus immediate participation in 1Password's benefits program (health, dental, 401k and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs. Canada-based roles only: The annual base salary for this role is between $125,000 CAD and $175,000 CAD, plus immediate participation in 1Password’s generous benefits program (health, dental, RRSP and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs. At 1Password, we approach each individual's compensation with a promise of fair market value and internal equity commensurate with experience and specific skill set. This posting is for an existing vacancy. Our culture At 1Password, we prioritize collaboration, clear and transparent communication, receptiveness to feedback, and alignment with our core values: keep it simple, lead with honesty, and put people first. You’ll be part of a team that challenges the status quo, and is excited to experiment and iterate in search of the best solution. That said, 1Password is not for everyone https://blog.1password.com/inside-the-culture-powering-1passwords-next-chapter/. Our work is demanding, we strive for excellence, and the pace is fast. We need people who are keen to take on challenging problems, who seek feedback to grow, and who are driven to make an impact. If you're looking for a place where you can settle into a comfortable routine, this might not be the right fit for you. We’re looking for individuals who are proven experts in their fields, as well as those who are highly adaptable, can thrive in ambiguity and through change, are curious, and above all deliver results. How we work with AI We are committed to leveraging cutting-edge technology—including AI—to achieve our mission. We also understand that thinking critically about AI in its current forms will help us create better solutions for our customers and ourselves with its future forms, which will help us continue to close the gap between security and privacy and achieve our mission. We want team members at all levels to take the approach of actively learning AI best practices, identifying opportunities to apply AI in meaningful ways, and driving innovative solutions in their daily work. Embracing the future of AI isn't just encouraged—it's an essential part of how we will be successful at 1Password. This approach extends to our hiring process—candidates are welcome to use AI tools responsibly and thoughtfully during the application process. To us, this means we do ask that you join live interviews without using AI tools so we can get to know how you communicate, solve problems, and collaborate with others. Our approach to remote work We believe in the power of remote work, but recognize that in-person connection is important to help us achieve our mission. While we are a remote-first company, travel for in-person engagement is a part of almost all roles, and we require our employees to be ready and willing to take part. Frequency will depend on role and responsibilities, and may include, but is not limited to: annual department-wide offsites, team meetings, and customer/industry events. What we offer We believe in working hard, and rewarding that hard work through our benefits. While not an exhaustive list, here is a glance at what we currently offer: Health and wellbeing 👶 Maternity and parental leave top-up programs 🩺 Competitive health benefits 🏝 Generous PTO policy Growth and future 📈 RSU program for most employees 💸 Retirement matching program 🔑 Free 1Password account Community 🤝 Paid volunteer days 🏆 Peer-to-peer recognition through Bonusly 🌎 Remote-first work environment *Some roles in our GTM team are currently being hired for in-person hybrid work in Toronto and Austin. These roles will specify on the posting. You belong here. 1Password is proud to be an equal opportunity employer. We are committed to fostering an inclusive, diverse and equitable workplace that is built on trust, support and respect. We welcome all individuals and do not discriminate on the basis of gender identity and expression, race, ethnicity, disability, sexual orientation, colour, religion, creed, gender, national origin, age, marital status, pregnancy, sex, citizenship, education, languages spoken or veteran status. Be yourself, find your people and share the things you love. Accommodation is available upon request at any point during our recruitment process. If you require an accommodation, please speak to your talent acquisition partner or email us at nextbit@agilebits.com and we’ll work to meet your needs. Remote work is a part of our DNA. Given that our company was founded remotely in 2005, we can safely say we're experts at building remote culture. That said, remote work at 1Password does mean working from your home country. If you've got questions or concerns about this, your talent partner would be happy to address them with you. Successful applicants will be required to complete a background check that may consist of prior employment verification, reference checks, education confirmation, criminal background, publicly available social media, credit history, or other information, as permitted by local law. 1Password uses artificial intelligence (AI) and machine learning (ML) technologies, including natural language processing and predictive analytics, to assist in the initial screening of employment applications and improve our recruitment process. See here https://www.ashbyhq.com/downloadables/ashby-bias-audit-08-2024.pdf for the latest third party bias audit information. If you prefer not to have your application assessed using AI/ML features, you may opt out by completing this form https://jobs.ashbyhq.com/1password/automation-notice. For additional information see our Candidate Privacy Notice https://1password.com/files/candidate-privacy-notice.pdf.

Location: Los Angeles, California Workplace: OnSite Who We Are X-LAB is the in-house performance bicycle line by XDS, which has quietly become the world’s largest and most vertically integrated bicycle manufacturer and the largest maker of carbon fiber frames, supplying many of the top brands in cycling and mobility. Today, XDS is quiet no more. XDS launched X-LAB in April 2026 as the global consumer brand to take the industry by storm. Three decades of experience building exceptional bicycles have culminated into a unique line of road, gravel, electric, city, hybrid, and soon mountain bikes that riders and shops can’t stop talking about. X-LAB is the new inflection point for the category. We launched in April 2026 with a full lineup across road, gravel, city, fitness, e-bike, and soon mountain categories, with validation from the highest and most demanding levels of the sport through the XDS Astana Team and a rapidly growing network of dealers. Our ambition is not simply to sell more bikes. It is to make great bikes more integrated, more accessible, and better supported through the independent shops and communities that grow cycling and bring in new riders. That is what makes this moment exciting. Joining X-LAB means shaping a company with unmatched production scale, real engineering R&D depth, and the confidence to earn trust… one rider, one dealer, one product, and one market at a time. Are you ready to ride ahead of the pack? Learn more at https://xds.co/https://xlabbikes.com See an insider’s look of our factory: Youtube Video https://www.youtube.com/watch?v=06SheO5XFsY ___________________________________________________ SENIOR DESIGNER XDS is seeking a versatile, hands-on Senior Designer to help shape how X-LAB shows up across products, dealers, events, and digital channels. You’ll work across bicycle product graphics and color concepts, dealer kits and retail materials, event and merchandise design, social media, and broader brand design. You’ll take projects from early ideas through production, collaborating with U.S. and global teams and external partners. You will report to the Head of Design, USA. This role is a great fit for a flexible, open-minded designer who can manage multiple priorities and is eager to learn and grow with a fast-moving performance bicycle brand. This position is onsite in Santa Monica CA 5 days a week. WHAT YOU’LL DO - Contribute to bicycle product graphics and color-and-graphics concepts, collaborating with product and design teams. - Prepare clear, production-ready artwork and specifications for internal teams and external vendors. - Manage several projects at once, keeping priorities, timelines, and details on track. - Share ideas, respond constructively to feedback, and help strengthen the X-LAB visual identity as the brand evolves. - Design dealer kits and retail materials, including signage, displays, decals, bike tags, and other point-of-sale assets. - Develop creative for events, merchandise, and dealer programs, and follow projects through samples, production, and delivery. - Create social media graphics, campaign assets, and reusable content templates. - Support brand design across digital, print, retail, and customer-facing materials. YOU’RE A GREAT FIT WITH: - 5+ years of professional design experience, supported by a strong portfolio which includes examples of 3D design using tools such as Rhino or 3DS Max (MANDATORY). - Experience across multiple design areas, such as brand, graphic, retail, product, or marketing design. - Strong visual judgment, with a deep understanding of typography, layout, color, and brand consistency. - Proficiency in Adobe Creative Cloud, especially Illustrator and Photoshop. - Comfort pushing multiple projects and shifting priorities forward in a fast-moving environment. YOU’RE A SPECTACULAR FIT WITH: - A portfolio that shows versatility across brand, social media, retail, event, merchandise, or product design. - A proven affinity for multitasking. SUCCESS METRICS - Delivery of consistent, high-quality design across dealer kits, events and merchandise,social media, brand materials, and bicycle graphics and color concepts. - Seamless management of multiple projects from brief through production, meeting agreed timelines and providing accurate, production-ready files. - Strong working relationships with U.S. and global teammates and vendors, with clear communication and adaptation to changing priorities. ___________________________________________________   OUR COMPENSATION AND BENEFITS - Competitive salary - Demo bike fleet and comprehensive travel allowances - Generous time off policy - Comprehensive medical, dental, and vision coverage EQUAL OPPORTUNITY XDS is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all team members.

Location: Ukraine; North Macedonia; Turkey; European Union; Serbia; Georgia Workplace: Remote ABOUT US Ruby Labs is a leading tech company that creates and operates innovative consumer products. We offer a diverse range of opportunities across the health, education, and entertainment industries. Our innovative teams are driving the future of consumer-led products, and we're always looking for passionate individuals to join us. Learn more about our story at: https://rubylabs.com/about-us/ ABOUT THE ROLE We are looking for a results-driven Senior Growth Product Manager for one of our core D2C subscription products. You will work on a single product and be fully responsible for increasing ARPU through higher product value: delivering winning tests in the post-purchase experience that make the product more valuable for each user. You will own the full cycle from research to a proven result and report to the Head of Growth, with AI tooling as a core part of your workflow. The bar is high and so is the upside - strong results are significantly rewarded, with a proven path to career growth. KEY RESPONSIBILITIES - Research & Competitor Insights: Find where users miss value and why they leave, using product and historical data, user feedback, and competitor analysis. - Hypothesis Pipeline: Turn those insights into a continuous, prioritised backlog of product ideas, each backed by evidence and a clear expected impact. - Product Value: Grow ARPU by giving users more value after purchase: improve onboarding, core features, and the moments where users decide whether the product is worth keeping. - Specs & Delivery: Write clear, testable specs and work daily with engineering so every test ships fast and works as intended. - Growth Collaboration: Coordinate with the CRO and data teams so product and funnel tests run in sequence and every result is read correctly. - Test Wins: Deliver a steady stream of A/B test winners on post-purchase metrics, with ARPU as the main one, and raise the share of tests that win over time. QUALIFICATIONS - Product Management: 3+ years in product growth roles on D2C subscription or consumer products (web-to-web, web-to-app, mobile apps) or similar markets. - Proven Wins: A track record of A/B tests or product changes that measurably grew revenue, with results you can attribute to your own work. - User Journey & Product Sense: Strong understanding of consumer user journeys and of what turns a first purchase into lasting value for the user. - Research & Analytics: Hands-on user research, competitor analysis, and product analytics (Mixpanel or a close equivalent) to build the evidence behind every idea. - Experimentation: Experience designing and interpreting A/B tests, including significance, sample size, and test duration. - AI Tooling: Active daily use of AI tools (Claude or equivalent) to accelerate concept, analysis, and prototype work, especially UI/UX design of experiments. - Lifecycle Experience: Experience with subscription onboarding, engagement, or cancellation flows is a bonus. LEADERSHIP ATTRIBUTES - Results-driven - measures their own work by test wins and revenue impact - Evidence-led - backs every idea with data, user research, or competitor proof - Ownership mentality - treats the product as their own: proposes, prioritises, and drives ideas to a result - Bias for action - makes sound decisions quickly and iterates fast - Communicates with clarity - explains ideas and results in writing so they can be reviewed without a meeting LOCATION Ruby Labs operates within the CET (Central European Time) zone. Applicants from any country are welcome to apply for the position as long as they are located within approximately ± 4 hours of CET. This ensures optimal collaboration and communication during working hours. BENEFITS Discover the perks of being part of our vibrant team! We offer: - Remote Work Environment: Embrace the freedom to work from anywhere, anytime, promoting a healthy work-life balance. - Unlimited PTO: Enjoy unlimited paid time off to recharge and prioritize your well-being, without counting days. - Paid National Holidays: Celebrate and relax on national holidays with paid time off to unwind and recharge. - Company-provided MacBook: Experience seamless productivity with top-notch Apple MacBooks provided to all employees who need them. - Flexible Independent Contractor Agreement: Unlock the benefits of flexibility, autonomy, and entrepreneurial opportunities. Benefit from tax advantages, networking opportunities, reduced employment obligations, and the freedom to work from anywhere. Read more about it here: https://docs.google.com/document/d/1nkrN76JlZkbKj9WSOhlT1_mni_CZeDkHdwfIjPXVwvk/preview?tab=t.0#heading=h.ndsdl4wapxtt Be part of our fast-growing team and seize this excellent opportunity for personal and professional growth! INTERVIEW PROCESS After submitting your application, we conduct a thorough review which typically takes 3 to 5 days, but may occasionally take longer due to the volume of applications received. If we see a potential fit, we proceed with the following steps: - Recruiter Screening (40 minutes) - Technical Interview (60 minutes) - Final Interview (60 minutes) LIFE AT RUBY LABS At Ruby Labs, we move fast, aim high, and expect the same from our team. We’re not here to play small—we’re here to build, grow, and win. That means we look for people who are ambitious, driven, and ready to give their best every single day. This is a place for individuals who thrive under pressure, embrace challenges, and see opportunity in every obstacle. If you’re hungry to achieve, motivated by impact, and want to grow at the speed of your own ambition, Ruby Labs offers the platform to make it happen. Here, effort is matched with reward. We recognize those who go all in and deliver results, and we create space for people who want more—more responsibility, more growth, and more success. #LI-Remote

Location: District Heights, MD; Gambrills, MD; Temple Hills, MD; Upper Marlboro, MD; Bowie, MD; Greenbelt, MD; Lanham, MD; Largo, MD Position Objective: Performs laboratory specimen collection from patients for diagnostic purposes. Essential Job Duties: Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Determine and execute the best method for obtaining biological specimens from patients of all ages (venipuncture, capillary, heel-stick) to ensure quality specimens for testing. Follow established productivity guidelines with minimal errors. Order appropriate tests in the Laboratory Information System (LIS) as requested by authorized providers. Resolve unusual or unclear test orders by contacting the ordering provider; respond to requests for lab results and send scheduled reports. Interact with patients in a professional and compassionate manner, explaining procedures, addressing concerns, and ensuring comfort during blood collection. Prepare aliquots of samples and shipping batches for transport within the hospital campus or to contracted laboratories following vendor protocols. Register, draw, and ship client specimens. Maintain a safe and clean working environment by following procedures, rules, and regulations. Promote inter- and intradepartmental workflow through cooperation and effective handoffs. Maintain laboratory supply inventory and conserve resources by using equipment and supplies appropriately. Perform preventative maintenance and troubleshoot equipment problems to the full extent of ability. Practice proper patient identification verification; manage work queues to ensure accurate and complete registration including demographics, insurance, service date, ordering caregiver, and special flags. Actively participate in the laboratory quality plan/program (e.g., investigative reports, notification of delays). Participate in the training of new staff and students by serving as a mentor and technical resource. Educational/Experience Requirements: Required Minimum Education: High School Diploma or equivalent Specialized training in phlebotomy Required Minimum Experience: One year of experience in an outpatient or acute care facility in an equivalent role, preferred Required License/Certifications: Phlebotomy certification with the National Phlebotomy Association or American Society of Clinical Pathology (or eligible), preferred Current American Heart Association Basic Life Support (BLS) CPR certification, preferred Knowledge, Skills, Abilities: Ability to work cooperatively with all types of personalities both inside and outside the organization Requires travel to various sites Working Conditions, Equipment, Physical Demands: Physical Demands – Medium Duty The physical demands and work environment described are representative of those encountered while performing the essential functions of this position. Reasonable accommodations may be made under the Americans with Disabilities Act. There is a reasonable expectation that employees in this position will be exposed to blood-borne pathogens. The above is intended to describe the general content of and requirements for the performance of this job. It is not to be construed as an exhaustive statement of duties, responsibilities, or requirements. Pay Range $19.50 — $24 USD Luminis Health Benefits Overview: •    Medical, Dental, and Vision Insurance •    Retirement Plan (with employer match for employees who work more than 1000 hours in a calendar year) •    Paid Time Off •    Tuition Assistance Benefits •    Employee Referral Bonus Program •    Paid Holidays, Disability, and Life/AD&D for full-time employees •    Wellness Programs •    Employee Assistance Programs and more *Benefit offerings based on employment status Opt-in for text notifications! Luminis Health's two-way SMS texting platform lets you receive notifications and messages from our Talent Acquisition team directly on your phone. To enable this feature, select "yes" when asked to "opt-in to receive text messages" and to "Receive updates from a recruiter about this job via SMS" when completing your application. Once you are opted in, you can easily opt-out at any time. Standard text messaging rates may apply based on the candidate's mobile carrier plan. Luminis Health is not responsible for any charges incurred by the recipient. Candidates are encouraged to review their mobile carrier's plan for applicable text messaging rates and usage charges.

Location: Indianapolis, United States; Ohio City, United States; Chicago, United States Description Location: Indianapolis, IN Metro (Hybrid / 3-Day Onsite) (Open to Regional/EST Candidates with Onsite Travel) Contract Type: Contractor Full-Time / Enterprise Project Engagement (Outsourced via Xenon7) About Xenon7 Where elite tech talent meets world-class opportunities! At Xenon7, we work with leading enterprise clients and innovative startups on high-impact projects across Data, AI, Cloud, and Software Engineering. Our expertise in AI solution architecture and specialized technical talent allows us to partner with enterprise leaders on transformative initiatives, driving innovation and business growth. Role purpose Lead the development and application of digital twins to improve clinical trial design and support evidence-based clinical development decisions. The role prioritizes digital-twin, simulation, and AI/ML expertise, supported by clinical-development experience and close partnership with trial-design experts. Position overview You will join a multidisciplinary clinical development environment and partner with clinical scientists, physicians, biostatisticians, pharmacometricians, biomarker experts, data scientists, data engineers, and other stakeholders. You will translate clinical development questions into quantitative strategies and deliver  interpretable analyses that inform protocol design, patient selection, endpoint strategy, dosing, operational planning, and decision-making under uncertainty. The role prioritizes digital twins as the primary capability for simulating patients, disease trajectories, treatment response, and clinical trials. The successful candidate will bring strong digital-twin, simulation, and AI/ML expertise, along with sufficient clinical-development knowledge to work effectively with trial teams. Deeper trial-design expertise can be developed through close collaboration with clinical scientists, biostatisticians, and pharmacometricians. Key responsibilities Digital-twin development and validation ·   Lead the design, development, and evaluation of digital twins of patients, disease trajectories, treatment response, or clinical trials using clinical trial and relevant external data. ·   Combine mechanistic, statistical, causal, and machine learning approaches to create fit-for-purpose digital twins that can be simulated under alternative populations, interventions, dosing strategies, endpoints, or trial designs. ·   Define use cases and contexts of use with clinical and quantitative experts so each digital twin addresses a specific trial-design or development decision. ·   Assess calibration, validation, robustness, transportability, uncertainty, and practical relevance using appropriate internal and external evaluation strategies. ·   Develop reproducible workflows and reusable digital-twin components that can be applied across programs or therapeutic areas. Clinical trial design and quantitative decision support ·   Partner with trial teams to frame development questions and evaluate design options, including target populations, eligibility criteria, enrichment strategies, comparators, endpoints, visit schedules, dosing strategies, and operational tradeoffs. ·   Use digital twins and complementary simulation methods to compare plausible scenarios, characterize uncertainty, and support model-informed decision-making. ·   Work closely with statisticians and pharmacometricians so analyses complement established trial-design methods and align with clinical and regulatory objectives. ·   Communicate assumptions, limitations, and decision-relevant insights clearly to technical and non-technical stakeholders. Data integration and scientific collaboration ·   Analyze and integrate clinical trial data and, where relevant, biomarkers, imaging, digital health data, omics, patient-reported outcomes, and real-world data. ·   Partner with data engineering and platform teams to create analysis-ready datasets, data-quality checks, lineage, and reproducible pipelines. ·   Contribute to scientific documentation, presentations, publications, and responsible adoption of digital-twin methods across clinical development. Model quality and responsible use ·   Define the intended use, decision context, success criteria, and limitations of each model before development. ·   Ensure models are interpretable, auditable, reproducible, and supported by evidence appropriate to their intended use. ·   Apply appropriate governance, privacy, security, and scientific-review requirements for clinical data and analytical outputs. ·   Clearly distinguish exploratory analyses from validated decision-support evidence and avoid overclaiming model capability. Requirements ·   PhD in data science, statistics, biostatistics, pharmacometrics, computer science, biomedical informatics, engineering, mathematics, operations research, or a related quantitative field. ·   Demonstrated experience developing digital twins, virtual patients, disease-progression models, clinical trial simulations, synthetic controls, or closely related computational models. ·   Strong experience applying machine learning, statistical modeling, causal inference, or simulation to biomedical, healthcare, pharmaceutical, or other complex scientific data. ·   Strong programming skills in Python, R, or a comparable analytical language, with experience using version-controlled and reproducible workflows. ·   Sufficient clinical-development knowledge to frame relevant questions and collaborate effectively with clinical and quantitative trial experts. ·   Ability and interest to deepen clinical trial-design knowledge through partnership with clinical scientists, biostatisticians, and pharmacometricians. ·   Strong written and verbal communication skills and demonstrated effectiveness in cross-functional scientific collaboration. Preferred qualifications ·   Strongly preferred: experience supporting clinical trial design, protocol development, clinical development strategy, model-informed drug development, or regulatory-facing quantitative evidence. ·   Familiarity with one or more trial-design topics, such as endpoint strategy, sample size or power assumptions, patient selection or enrichment, longitudinal outcomes, missing data, adaptive designs, or decision criteria. ·   Knowledge of digital-twin architecture and validation, supported by expertise in causal inference, Bayesian modeling, survival analysis, longitudinal modeling, clinical trial simulation, or synthetic controls. ·   Experience with clinical data standards and common clinical-development data sources. ·   Experience with biomarker, imaging, omics, digital health, or real-world data and integration of multiple data modalities. ·   Experience with scalable cloud-based analytical environments. ·   Track record of translating analytical work into decisions, reusable capabilities, publications, presentations, or other measurable scientific impact.