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Location: Czechia; Bulgaria; Ukraine; Poland; Hungary Workplace: Remote At ClickUp, we're building the future of work: the first truly converged AI workspace unifying tasks, docs, chat, calendar, and enterprise search, all supercharged by context-driven AI. We are an AI-native company. Every team member is expected to leverage AI daily, and we evaluate AI fluency as part of our hiring process. Join us and help redefine what's possible. 🚀 ClickUp is on the lookout for talented backend engineers to join the Fields squad at ClickUp! Fields is the heart and soul behind our custom task data - think dynamic schemas, high-volume updates, and the flexibility that lets users tailor ClickUp to their individual workflows. We’re building scalable, high-throughput, low-latency services that handle millions of requests daily. If wrangling distributed systems, fine-tuning performance, and designing robust APIs sounds like your idea of fun, let’s chat.   Role: - Build features and systems with attention to detail and performance. - Own end-to-end development, from conception to production. - Work closely with cross-functional stakeholders to deliver a world-class product. - Identify and implement improvements to our existing systems. - Help establish a fun, fulfilling, world-class engineering culture. Qualifications: - Bachelor’s degree in Computer Science or equivalent major. - 5+ years of experience engineering performant and high-throughput systems (ideally on Node.js). - You write high quality code (ideally in TypeScript) and are uniquely productive. - You have a track record of building performant, high-throughput systems. - You have experience writing and debugging sql queries at scale. - You have experience developing event based systems. - You have experience with major cloud services (ideally AWS). - You are an empathetic communicator. - You are comfortable with ambiguity and have consistently delivered projects with little direction. - You are product-minded and have a good intuition on what a great user experience looks like.   #LI-REMOTE #LI-MAV Equal Opportunity Employer ClickUp is an Equal Opportunity Employer, and qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin. Privacy Notice ClickUp collects and processes personal data in accordance with applicable data protection laws. You can find further details by viewing our Global Candidate Privacy Notice. https://clickup.com/careers-terms/candidate-privacy-notice If you are a Philippine Job Applicant, please also see our Philippine Data Privacy Notice https://t333.s.clickup-attachments-stg.com/t333/d9a53ce2-6d2c-48cd-84b1-ed4e525f9613/Philippine%20Data%20Privacy%20Notice_2024.pdf?view=open for further details. Visa Sponsorship Please note we are unable to sponsor or take over sponsorship of an employment visa for roles outside of engineering and product at this time. Sponsorship for engineering and product roles is not guaranteed, but is instead based on the business needs for that specific role at that time. Please reach out to the recruiter with any questions. Fraud Alert ClickUp Talent Acquisition will only initiate contact via an @clickup.com http://clickup.com email or through our official careers portal on clickup.com http://clickup.com. We will never request fees, payments, or sensitive personal information. Please disregard any offers received outside these channels and report them to support@clickup.com. AI Processing Notice ClickUp may use artificial intelligence and machine learning technologies to help review and screen candidates' employment applications against role-related criteria. These tools support, but do not replace, human decision‑making. If you have questions or need an accommodation in the recruitment process, please contact us at AskPeople@ClickUp.com.

Location: New York City, NY; San Francisco, CA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We are looking for software engineers to help build safety and oversight mechanisms for our AI systems. As a software engineer on the Safeguards team, you will work to monitor models, prevent misuse, and ensure user well-being. This role will focus on building distributed and scalable systems to detect unwanted model behaviors and prevent disallowed use of models. You will apply your technical skills to uphold our principles of safety, transparency, and oversight while enforcing our terms of service and acceptable use policies. Responsibilities: Independently scope and lead complex, multi-month infrastructure projects, from an ambiguous starting point through to a production system Develop monitoring systems to detect unwanted behaviors from our API partners and potentially take automated enforcement actions; surface these in internal dashboards to analysts for manual review Stand up and run deployments of those monitoring systems across multiple clouds, including inside cloud-provider partner environments where data residency laws apply. Keep the deployments consistent through shared deployment pipelines, smoke tests, observability, and alerting Design and harden the sandboxed runtime that AI agents execute in: isolation, network egress controls, least-privilege data access, audit logging, and insider-risk controls Manage cost and capacity for large volumes of long-running agent work, and set and meet service-level objectives for the platform Partner with the engineers and researchers who write and evaluate the monitoring agents, and with security, privacy, and legal teams, so new detection work can ship quickly on a platform everyone trusts You may be a good fit if you: Bachelor’s degree in Computer Science, Software Engineering or comparable experience Proficiency in Python, Distributed Systems, and Infrastructure as Code Have worked across multiple cloud providers, or built infrastructure designed to be provider-agnostic Have built and operated large-scale, distributed infrastructure, such as data platforms, control planes, or job schedulers Have experience with sandboxing and isolation technologies (containers, microVMs, network policy) or with a systems language such as Rust Strong communication skills and ability to explain complex technical concepts to non-technical stakeholders Strong candidates may also: 8+ years of experience in a software engineering position, not including internships Have built systems that handle sensitive or regulated data, with requirements around access control, auditability, retention, and data residency Have experience running LLM-based agents in production Have experience with integrity, spam, fraud, or abuse detection and mitigation Deadline to apply: None. Applications will be reviewed on a rolling basis. 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: $320,000 — $485,000 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: Bremen, Germany Supervisor: Prof. Dr. Alexander Tormasov About the Position Constructor Knowledge Labs (CKL), in collaboration with Constructor Technology, invites applications for a PhD position in machine learning for software engineering and formal methods, on the Constructor Fabric project. Constructor Fabric turns a company's informal knowledge into production software through a pipeline of composable capability units called gears : requirements → architecture → product fit → framework (G1) → application → runtime. We are building a World Model over that pipeline — a model that does not just generate code, but predicts the consequences of an architectural decision: total cost of ownership, unintended side effects, latency and failure behaviour, and whether a proposed composition is even admissible. The central object is not a digital twin of the application but its formal architectural skeleton : gear contracts (GearSpec), a typed attributed hypergraph of the application (AppGraph), a composition algebra that defines which assemblies are legal, and several semantic projections (types, protocols, resources, security) over which properties are proved, refuted by counterexample, or reported as an explainable gap . All of it is written in a domain-specific language whose syntax trees and graphs we keep in a projectional editor (JetBrains MPS) — so the DSL is not a convenience layer, it is the thing that defines the model's state space and the boundary of what the model is allowed to propose. What you will work on Depending on your background, one or two of: Formal skeleton and composition — GearSpec as a contract $(Requires, Provides, State, Effects, Assumptions, Guarantees, Parameters)$; AppGraph as a typed attributed hypergraph; an algebra of assembly (sequential, parallel, feedback, refinement); semantic projections and system-level invariants over trajectories. Architecture synthesis as an inverse problem — given a specification, load and constraints, find the composition of gears that realises it. Constraint solving and MCTS as the baseline; a learned transition/value model for ranking and pruning; LLM proposals treated strictly as candidate hypotheses that a DSL parser, type checker and property checks must then admit or reject. DSL design and language engineering — the gear DSL and its glue layer decide which AppGraphs are expressible at all, and therefore where the search space ends. This thread covers the abstract syntax and static semantics of that DSL; the requirement that an architectural decision be unbypassable by construction (you must not be able to wire authentication around the Auth Resolver); what happens to the language when gear contracts change or a 201st gear is added; projectional representation of graphs with cycles; and the open hypothesis that a specialised G1-DSL is generated together with every G1. Local transition models and pipeline surrogates — fast approximate predictors for single pipeline steps (spec change → code quality, architecture → product fit, app → runtime outcome), with calibrated uncertainty, validated against real telemetry. Data — reconstructing (specification → architecture) pairs from open repositories at scale, plus synthetic project generation from a fixed gear set and DSL grammar to cover rare transitions, gaps and counterexamples. Profile MSc (or equivalent) in computer science, mathematics, or a mathematical natural science. Coursework in compilers, programming-language theory, language design or model-driven engineering is a strong positive signal, half of this project is deciding what a formal architecture description is allowed to say. Evidence that you finish things: a maintained open-source repository, a peer-reviewed publication, or a strong competition result. Fluent technical English. Most importantly: the habit of stating an assumption explicitly and designing an experiment that could falsify it. Required mathematical background Core skills: Probability and statistics. Estimation, Bayesian inference, uncertainty quantification and calibration (proper scoring rules, reliability diagrams, ECE), experiment design and significance testing. A prediction we cannot calibrate is not usable here. Linear algebra and multivariate calculus at the level needed to derive, not just call, a training objective: matrix calculus, gradients, stochastic optimisation, conditioning. Discrete mathematics and graph theory. Typed and attributed graphs and hypergraphs, subgraph matching and isomorphism, graph rewriting, reachability, basic complexity classes. Mathematical logic and formal methods. First-order logic, type systems, SAT/SMT, temporal logic (LTL/CTL) and model checking, pre/post-conditions, invariants, refinement. Sequential decision making. MDP/POMDP, dynamic programming, model-based RL, latent state-space (world) models, Monte-Carlo Tree Search. Strong command of at least one, working knowledge of a second: Formal languages, semantics and language engineering — grammars (context-free, attribute and graph grammars), derivation and reachability, parsing; abstract versus concrete syntax; operational and denotational semantics; metamodelling, model-driven engineering, model-to-model transformation, and projectional (structural) editing of the kind JetBrains MPS implements. We are asking for the education, not the tool: you should know why a projectional editor exists, what a metamodel buys you over a text grammar, and how a language evolves without breaking its existing models. Hands-on MPS experience is explicitly not required — we will teach it. Category theory for compositional systems — monoidal and traced monoidal categories, functors as semantic projections, string diagrams, operads. This is the language of our assembly algebra. Causal inference — structural causal models, do-calculus, counterfactuals, identifiability. Required for the "what happens if we replace this technology / move on-premises" class of questions, which similarity search alone cannot answer. Queueing theory and applied stochastic processes — M/M/1 and networks of queues, heavy tails, retries, timeouts, partial failure and reliability models. This is the resource and stochastic projection. Combinatorial optimisation, constraint programming and program synthesis theory — CEGIS, version-space algebras, symmetry breaking, search heuristics. Representation learning theory — VAEs and latent dynamics, GNN expressiveness (Weisfeiler-Leman hierarchy), permutation equivariance, embedding migration under a changing vocabulary. Required hands-on programming skills This is an engineering-heavy PhD. We expect code that another person can clone, run and reproduce — not notebooks that worked once. Must have: Python (professional level). Type hints, packaging, `pytest`, profiling, `asyncio`, memory-aware data structures. You write unbuffered, logged, restartable long-running jobs by default. Training loops written from scratch, custom datasets and collation, mixed precision, multi-GPU; experiment tracking (W&B or MLflow), configuration management (Hydra), strict seed and artefact reproducibility. Graph machine learning. PyTorch Geometric or DGL — message passing, heterogeneous and typed graphs, graph transformers, handling graphs whose node vocabulary changes between versions. Solvers and verification tooling driven from Python. Z3 or cvc5 hands-on; demonstrated exposure to at least one model checker (TLA+/TLC, SPIN, NuSMV, Alloy) or proof assistant (Lean, Coq, Isabelle). Code as data. AST manipulation, `tree-sitter`, static analysis, dependency and interface graph extraction, large-scale repository mining. Parallel data pipelines. `multiprocessing`, Ray or Dask; checkpointing, heartbeats, cost estimation before launching a run that touches millions of files. LLM engineering. API orchestration, structured and grammar-constrained decoding, evaluation harnesses, token/cost accounting — with the discipline to treat model output as a hypothesis subject to formal checks. Linux, git, code review, shell. Desirable: Language tooling you have actually used: ANTLR, Xtext, Lark, or a parser, type checker or interpreter you wrote yourself. Our internal representation of gear syntax trees and graphs lives in JetBrains MPS — again, we do not ask for MPS experience, only that you are comfortable reading and extending a metamodel; Java/Kotlin literacy helps once you get there. JAX, or compiler / SAT-SMT internals. Infrastructure literacy — Docker, Kubernetes, Terraform, OpenTelemetry/Prometheus — since the resource projection is calibrated against real deployment telemetry. One systems language (Rust, Go or C++) for performance-critical search. Prior experience with production software architecture, or with a brownfield system you had to change without breaking. Funding The appointment provides full financial coverage through a dedicated fellowship, comprising: Monthly stipend of €1,650 Monthly research-cost allowance of €100 (Forschungskostenpauschale) Health-insurance subsidy of €100 per month Location: Bremen, Germany Duration: 3 years, full time Start date: November 2026 Application package must include CV, including publications, code, or research projects. Cover letter (1–2 pages) explaining your motivation, research interests, and fit with the project. A link to code you have written. A one-page research statement picking one open research question from the project and sketching how you would approach it. Master’s and Bachelor’s degree certificate and transcripts. Contact information for 2–3 academic referees. Applications are reviewed on a rolling basis. Shortlisted candidates will be invited to interviews.

Location: United States- Carlstadt, New Jersey Founded in 1985, ATS is a company with a presence in the United States, Mexico and the United Kingdom. We are professionals in Industrial Maintenance and we make factories run better. Fundada en 1985, ATS es una empresa con presencia en los Estados Unidos, México y el Reino Unido. Somos profesionales en mantenimiento industrial y hacemos que las fábricas funcionen mejor. Principal Duties/Responsibilities: · Performs expert level break-fix & preventative maintenance. This includes but is not limited to: observing devises in operation to locate root cause of problem; dismantling devices to gain access to and remove defective parts; examining parts to detect imperfections; adjustment of functional parts of devices and control instruments; repair and/or replacement of defective parts; testing of device to observe performance; and performing tests for electrical circuitry and mechanical systems; reconditioning and repairing machine tools. · Identifies and sources parts, supplies and repair items as necessary. Performs evaluations of alternatives to improve cost and / or reliability of equipment. · Independently performs maintenance as per industry standards. · Works with Planner Scheduler to optimize preventative maintenance procedures. · May be required to setup and operate multiple machining operations including but not limited to: lathe, drill press, grinder, and other metalworking tools to make and repair parts. May perform welding tasks. · Complies with 5S and housekeeping standards. · Leads, drives and participates in CI activities--processes, results and cost savings using CI tools and methodology. · Provides assistance to lower level technicians and leadership to project teams. Performs expert functions as a part of training and development. · Troubleshoots and analyzes complex control systems to resolve in-depth software/ hardware and configuration problems. · Utilizes predictive maintenance technologies to collect equipment performance data. Observes trends and makes recommendations. · Updates records and reviews CMMS history and analyzes data. · Completes and conducts on-the-job training and technical self-study programs for career development. · Follows all safety related policies, rules, regulations, technical instructions and guidelines. Situational awareness and identify unsafe behaviors and conditions. Knowledge, Skills, Abilities, & Behaviors Required: · High School Graduate or equivalent (GED). · Associates degree with a Technical focus and 5 years of related experience in specific industry; or, 7 years of experience in specific industry. · Experience in predictive technologies, precision alignments, and general maintenance of applicable process equipment. · Understands electrical, mechanical, fluid power and control systems. Can analyze the problem, synthesize alternative solutions, and perform repairs. · Must be able to use basic hand tools and specialized tools as appropriate. · Experience in vibration analysis or laser interferometer operations, precision alignments, and maintenance of applicable process equipment. · May be required to travel. Physical Demands and Working Conditions: While performing the duties of this job, the employee is regularly required to stand; walk; use hands/fingers to handle, or feel; reach with hands and arms; climb, ascend/descend or balance to heights that may require a ladder or lift; stoop, kneel, crouch, or crawl in confined spaces; and talk or hear. The employee is occasionally required to sit. The employee must occasionally lift and/or move more than 50 pounds. The employee is regularly required to use close vision and color vision. The employee is occasionally exposed to outside weather conditions and risk of electrical shock. Work is typically performed in a factory environment and is usually very loud. In the factory environment, the employee may be exposed to hazardous materials and/or greasy or slippery factory floors. ​ ATS believes in fair and equitable pay. Please note that actual salaries may vary within the range, or be above or below the range, based on factors including, but not limited to, education, training, experience, professional achievement, business need, and location. We also offer market leading benefit programs including Medical, Dental and Vision plans, PTO, a 401k retirement plans with employer matching, tuition reimbursement, and more. Pay Range $40.11 — $51.32 USD ATS is committed to providing equal employment opportunities in all aspects of employment to all applicants and employees without regard to age, color, race, religion, sex (including pregnancy, gender identity, and sexual orientation), national origin, disability, veteran status, genetic information, or other legally protected status. Review the privacy policy here. ATS se compromete a brindar igualdad de oportunidades de empleo en todos los aspectos del empleo a todos los solicitantes y empleados, independientemente de su edad, color, raza, religión, sexo (incluido el embarazo, identidad de género y orientación sexual), origen nacional, discapacidad, estatus de veterano, información genética u otro estatus legalmente protegido. Revisión de la política de privacidad aquí here.

Location: California (remote); San Francisco Bay Area (remote) Workplace: Remote About Us Axelera AI https://www.axelera.ai is not your regular deep-tech company, we design AI inference silicon spanning edge and enterprise deployments, built on a low-power architecture that delivers strong performance-per-watt from embedded devices up through large-scale inference infrastructure. We're building out our US presence to bring this technology directly to the American compute buyers who feel power and TCO constraints most acutely: hyperscalers, neoclouds, and frontier model vendors. Our product line spans today's shipping edge inference platforms through our next-generation architecture purpose-built for large-scale inference economics, and we're scaling our Americas commercial team to land it with these customers. We are creating the next-generation AI platform to support anyone who wants to help advance humanity and improve the world around us. In just five years, we have raised a total of $450 million and built a world-class team of 250+ employees (including 60+ PhDs with more than 40,000 citations). While headquartered at the High Tech Campus in Eindhoven, Netherlands, we are investing heavily in growing our footprint across the US to be close to the customers and partners driving the next wave of AI infrastructure. Our commitment to innovation has firmly established us as a global industry pioneer, and the US is central to that next chapter. Are you up for the challenge? Position Overview We're looking for a (Senior) Director of Sales to own new business and account growth across hyperscalers, neocloud/inference-as-a-service providers, enterprises, and frontier AI labs in the Americas. This is a hands-on, quota-carrying role for someone who has sold complex semiconductor or compute infrastructure before and knows how to navigate long, technical, multi-stakeholder sales cycles - from technical evaluation through capacity commitment and deployment at scale. These deals rarely fit one route to market cleanly - a direct relationship with the buyer, an OEM/ODM layer building the physical systems, and the buyer's own supplier qualification process are usually all in play at once. You need to understand how those pieces interact, not just have experience in each individually. Success in this role depends on relationships you already have - decision-makers and technical buyers at target accounts who will take your call on day one. Key responsibilities: - Own and grow a book of business across hyperscalers, neocloud/inference-as-a-service providers, enterprises, and frontier model vendors in the US - Manage complex, technical sales cycles involving infrastructure engineering, procurement, capacity planning, and executive stakeholders - Navigate the layered routes to market inside each account - direct commercial relationship with the buyer, the OEM/ODM partners who build and integrate the physical systems, and any channel or qualification process the buyer runs for compute suppliers - Translate technical differentiation (power ceiling as revenue ceiling, performance-per-watt, TCO versus incumbent GPU/accelerator options) into commercial outcomes at hyperscaler and neocloud scale - Identify and close capacity commitments and design-in opportunities, from technical evaluation through deployment - Build and manage a qualified pipeline, forecast accurately, and report progress through Salesforce - Represent Axelera at industry events, customer visits, and technical reviews - Partner closely with product, field applications engineering, and marketing to shape go-to-market strategy for new silicon launches - Create, negotiate, and drive contracts through to close, working with legal and finance as needed Qualifications: - 10–15+ years of semiconductor or compute infrastructure sales experience, with a track record selling to hyperscalers, neoclouds, enterprises, and/or frontier AI labs - Fluency in how routes to market layer within a single account - direct commercial ownership of the buyer relationship, working through or alongside OEM/ODM system builders, and understanding any channel/qualification process the buyer runs — not just experience running separate direct, channel, and OEM motions in isolation - Existing relationships with US hyperscaler, neocloud, or frontier model vendor buyers - infrastructure, procurement, or technical leaders evaluating customer inference silicon - that you can activate quickly - Experience selling technical products with long, capacity-driven sales cycles, ideally AI/ML accelerators, GPUs, custom silicon, or related infrastructure - Prior experience at a semiconductor chip company or hyperscaler, neocloud, enterprise, or frontier lab accounts -established or startup - Comfort operating in a fast-moving startup environment with limited internal infrastructure - Strong written and verbal communication skills; ability to translate deep technical concepts (power ceiling, TCO, performance-per-watt) for both engineering and executive audiences. Heavy use of AI skills and technology to drive efficiency in your role. - Willingness to travel regularly for customer visits and industry events What Success Looks Like in Year One - A qualified, forecastable pipeline built substantially from your own network across hyperscaler, neocloud, and frontier model accounts - At least one significant capacity commitment or design-in secured - Established presence at 2–3 key industry events representing Axelera Location This role is based in the Bay Area, CA. We currently offer a flexible remote setup, with the option to move to in-office work in the future as we establish our Bay Area office. What we offer  This is your chance to shape and be part of a dynamic, fast-growing, international organisation. We offer an attractive compensation package, including a pension plan, extensive employee insurances and the option to get company shares.    An open culture that supports creativity and continual innovation is awaiting you. Collaborative ownership and freedom with responsibility is characteristic for the way we act and work as a team.  At Axelera AI, we wholeheartedly embrace equal opportunity and hold diversity in the highest regard. Our steadfast commitment is to cultivate a warm and inclusive environment that empowers and celebrates every member of our team. We welcome applicants from all backgrounds to join us in shaping the future of AI. Axelera AI may at times work with external parties (such as recruiters, headhunters, or executive search firms) to support both publicly posted and confidential searches. Our hiring process never involves any payment from candidates, and we will never require you to use a particular paid service to be considered for a role. If you have been approached by someone on our behalf and want to confirm it’s legitimate, please contact us directly at careers@axelera.ai.

Location: Spain; Brazil; United Arab Emirates; Ireland; Peru; Colombia; Argentina; Romania; Portugal; Lithuania; South Africa; Czech Republic; Canada; Hungary; Mexico; Chile; Poland; United Kingdom; Bulgaria Workplace: Remote BUILDING THE FUTURE OF OPEN FINANCE Payward - the parent company behind Kraken, NinjaTrader, Breakout, xStocks, Payward Services and CF Benchmarks - has spent the last 15 years building one of the most modern and globally accessible financial infrastructure platforms in the industry, built to advance an open, global financial system. THE TEAM Founded in 2011, Kraken is one of the world's longest-standing crypto platforms, trusted by over 10 million individuals and institutions across the globe. It offers spot trading, margin, futures, staking, and OTC services, with products built for both individual investors and institutional clients.   THE OPPORTUNITY - Build and scale a KOL/creator network in Spain, Iberia and other countries for Kraken Pro from the ground up - Drive new trading user acquisition through influencer and creator partnerships across the region - Own end-to-end relationship management with local KOLs, from sourcing to activation - Represent Kraken Pro's derivatives suite — perpetual futures, prop trading, margin — to top regional creators - Fix on-the-ground execution issues that block program performance and iterate fast - Set and own regional KOL acquisition targets and CAC efficiency - Partner cross-functionally with growth, marketing, and compliance teams - Benchmark and adapt a proven KOL playbook     WHAT YOU BRING - Proven track record building an influencer/KOL/creator network from scratch in Spain and/or the Iberia region - Fluent Spanish (Portuguese a plus), deep fluency in the local crypto/trading creator ecosystem - Experience acquiring trading users at scale with a clear eye on CAC - Hands-on, get-it-done approach — solves problems on the ground rather than escalating - High agency — owns regional strategy without waiting for global direction - Understanding of perpetual futures, margin, and prop trading products - Comfortable operating in a fast-moving, ambiguous, 24/7 crypto environment - Strong relationship-management and negotiation skills with creators/KOLs     NICE TO HAVES - Existing personal network of crypto KOLs/creators in Spain/Iberia and other countries - Prior KOL, growth, or influencer marketing role at a crypto exchange       Unless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis. Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution. We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance. OUR COMMITMENT Payward is powered by people from around the world and we celebrate the diverse talents, backgrounds, contributions, and unique perspectives that everyone brings to the table. We hire based on merit, seeking out people with the right abilities, knowledge, and skills for the job. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgeable about crypto. We may ask candidates to complete job-related skills or work-style assessments as part of our hiring process. These assessments evaluate competencies relevant to the role and are applied consistently across candidates for similar positions. Results are considered alongside experience and interviews, and are not the sole basis for any employment decision. As an equal opportunity employer, we don't tolerate discrimination or harassment of any kind, whether based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status, or any other protected characteristic as outlined by federal, state, or local laws. Stay connected Follow us on X https://twitter.com/krakenfx Learn on the Kraken Blog https://blog.kraken.com/#:~:text=Enter%20your%20email%20address Connect on LinkedIn https://www.linkedin.com/company/kraken-exchange/ Candidate Privacy Notice https://www.kraken.com/legal/candidate-privacy-notice

Location: Raanana Workplace: Hybrid ABOUT VOODOO Founded in 2013, Voodoo is a tech company that creates mobile games and apps with a mission to entertain the world. Gathering 800 employees, 7 billion downloads, and over 200 million active users, Voodoo is the #3 mobile publisher worldwide in terms of downloads after Google and Meta. Our portfolio includes chart-topping games like Mob Control and Block Jam, alongside popular apps such as BeReal and Wizz. TEAM Our Growth team is a transversal entity aiming to maximize and deliver the potential of any mobile product. It combines user acquisition, creative content production, monetization, and the tech capabilities required to turn applications into global hits. With over 150 experts, we operate at the forefront of mobile marketing and ad tech across various types of games (hypercasual, hybrid, 100% IAP). ROLE Beach Bum is a dynamic and innovative gaming company that brings a fresh twist to classic games by introducing them to the world of casual online games. Beach Bum was created in 2015 by industry leaders out of a genuine passion for gaming and technology. In 2021, Beach Bum was acquired by Voodoo, opening the door to countless new opportunities and millions of players worldwide! As a the Head of Growth, you will own the scaling of a top priority game or a portfolio of new titles, as a strategic counterpart to the General Manager. Your mission is simple: grow Beach Bum's flagship game aggressively. You will leverage our full Performance Marketing engine (User Acquisition experts, Creative Production, internal tools) and activate non-paid growth levers to push performance even further. - Build and own the growth strategy to scale our leading mobile games. - Execute all our acquisition channels: paid UA but also non-paid such as partnerships, featuring, influencer marketing, growth hacking, ASO, and community building (not exhaustive). - Monitor market trends and competitors to identify emerging high-performing growth channels. - Collaborate with cross-functional teams to ensure flawless execution and maximize the impact of available resources. - Conduct rigorous data analysis to evaluate channel performance, guide decisions, prioritize initiatives, and uncover new growth opportunities. PROFILE - 4-6 years experience on Growth expertise, in a fast-paced, analytical environments (gaming, high-growth tech environments B2C) - Bachelor/Master’s degree from a top engineering or business school. - Strong strategic thinking and analytical capabilities. - Genuine interest in mobile gaming and apps and performance marketing. - Autonomous, proactive, and comfortable rolling up your sleeves. - Excellent communication and interpersonal skills. - Fluent in English and Hebrew, with French considered a strong plus. BENEFITS - Cibus meal card with a monthly allowance of ILS 1,000 - Sick leave starting from the first day of employment - Half-day off on select holiday eves, in addition to statutory and contractual entitlements - An extra vacation day accrued for each year of employment - Company shuttle service from Tel Aviv, Ramat Gan, Givatayim, and Herzliya - Study fund (Keren Hishtalmut) starting from the first day of employment

Location: United Kingdom, London Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Role Overview: As a Senior / Staff Data Scientist, you will help shape how PlayStation measures the impact of products, features and commercial initiatives through world-class experimentation, causal inference and applied data science. Working at the intersection of data science, machine learning, product and commercial strategy, you will develop innovative measurement methodologies, define best practices, and provide technical leadership that enables teams across PlayStation to make faster, more confident business decisions. This role goes beyond traditional A/B testing. You will solve complex measurement problems where controlled experiments are difficult or impossible, applying modern causal inference, statistical modelling and machine learning techniques to generate robust business insights. You will collaborate closely with product, engineering, analytics and business teams to raise the standard of experimentation and evidence-based decision-making across the organisation. This is an opportunity to influence strategic decisions impacting millions of PlayStation players while helping establish best-in-class measurement practices across one of the world's leading entertainment companies. What You'll Be Doing: Develop innovative measurement methodologies across experimentation, causal inference and advanced analytics that improve the quality, reliability and scalability of business decision-making across PlayStation. Design robust measurement approaches across randomised experiments, quasi-experimental methods and observational causal inference where controlled experimentation is impractical. Research, evaluate and prototype statistical, machine learning and AI techniques to solve complex real-world measurement challenges. Apply advanced data science and machine learning techniques where appropriate to complement experimentation and support complex business decisions. Define and promote best practices for experiment design, statistical analysis and causal measurement across multiple product and business teams, helping scale experimentation across PlayStation. Partner closely with senior business leaders, product managers, engineers and analysts to identify high-impact measurement opportunities and ensure product and commercial decisions are supported by rigorous evidence. Partner with engineering teams to influence the evolution of PlayStation's experimentation platform and measurement capabilities, ensuring statistical best practices are embedded into future platform development. Provide technical leadership across multiple product and commercial domains, influencing measurement strategy, analytical standards and long-term technical direction through expertise and collaboration. Mentor and develop analysts and data scientists, helping raise technical capability and analytical excellence across the team. Champion a culture of evidence-based decision-making by educating stakeholders, sharing best practices, and communicating advances in experimentation, causal inference and applied data science. Stay current with emerging developments in statistics, machine learning and AI, identifying opportunities to improve measurement capabilities and analytical workflows. Represent the team across PlayStation, building strong partnerships, engaging senior stakeholders, and promoting technical excellence in data science and experimentation. What We're Looking For: Required: Master's degree (or equivalent industry experience) in Statistics, Economics, Mathematics, Computer Science, Data Science or another quantitative discipline. PhD preferred. Strong industry experience (5+ years) applying experimentation, causal inference, statistical modelling and measurement science to solve complex business problems. Deep expertise in experimental design, A/B testing and modern causal inference methods, including quasi-experimental approaches. Experience applying advanced data science, machine learning and statistical modelling techniques to solve complex business problems. Expert-level proficiency in Python and SQL for large-scale analytical workflows. Experience developing reusable analytical methodologies, frameworks or libraries that improve measurement quality and consistency across teams. Demonstrated ability to influence technical direction, promote best practices and drive adoption through collaboration, technical leadership and senior stakeholder engagement. Strong stakeholder management, executive communication and influencing skills, with the ability to translate complex analytical concepts into clear business recommendations for both technical and non-technical audiences. Curiosity, creativity and a pragmatic approach to solving ambiguous, high-impact business problems. Preferred: Experience working in gaming, digital products, consumer technology, e-commerce or subscription businesses. Familiarity with modern data engineering and analytics tooling such as Databricks, Snowflake, Git and Airflow. Experience with modern business intelligence and data visualisation tools such as Tableau, Domo or Power BI. Experience applying AI tools, including large language models (LLMs), to improve data science workflows and analytical productivity. Demonstrated technical leadership through mentoring, publications, conference presentations, open-source contributions or internal communities of practice. What You'll Influence: Measurement strategy for PlayStation's largest product and commercial initiatives. Experimentation best practices adopted across multiple business functions. Strategic product and commercial decisions through rigorous causal evidence. The evolution of PlayStation's measurement and experimentation capabilities. Technical excellence in experimentation, causal inference and applied data science across the organisation. Why You'll Love This Role: Shape how PlayStation measures product and commercial success across a global business. Influence strategic decisions affecting millions of players worldwide. Solve challenging real-world problems using cutting-edge experimentation, causal inference and machine learning techniques. Collaborate with talented scientists, engineers and product leaders on high-impact initiatives. Drive the adoption of best practices in experimentation and evidence-based decision-making across PlayStation. Continue developing your technical expertise while mentoring and growing others. Benefits: Discretionary bonus opportunity Hybrid Working (FlexModes) Private Medical Insurance Dental Scheme 25 days annual leave On-site gym Subsidised café Complimentary soft drinks On-site bar Secure cycle storage and shower facilities Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice (where applicable) for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

Location: New York Office Workplace: Hybrid The engineering team at Chainalysis is inspired by solving the hardest technical challenges and building products that establish trust in cryptocurrencies. We're a global organization that thrives on challenging work and doing it alongside exceptionally talented teammates. Our industry evolves rapidly, and our mission is to build a flexible, AI-driven platform that automates entity resolution, optimizes data labeling pipelines, and creates predictive models that identify illicit patterns before they escalate. Compliance Core builds and operates the platform that customers rely on to evaluate blockchain risk in real time and continuously monitor activity across billions of transfers. Our systems screen transfers and withdrawals, reassess exposure as new information arrives, aggregate risk at the user and organization level, and power datasets used by other teams and customers. We’re looking for an Engineering Manager to lead the team and shape the next generation of this platform. You’ll help decide what to evolve, rebuild, or retire, and sequence those changes while keeping our systems reliable for every customer. This role combines hands-on technical leadership with responsibility for the team’s growth, delivery, and operational health. In this role, you’ll: - Lead the platform’s modernization. Set technical direction with the team, make architectural trade-offs, and turn complex changes into incremental migrations with clear milestones and safe rollouts. - Stay hands-on. Review code, write and challenge design documents, contribute prototypes or targeted fixes, and work directly with engineers to resolve difficult technical problems and production incidents. - Build and develop the team. Hire exceptional engineers, set clear expectations, provide candid feedback, manage performance, and support career growth. Create an environment where people can challenge ideas, take ownership, and do their best work. - Own delivery with your partners. Work with Product and upstream teams to turn customer needs and industry changes into an executable roadmap. Make priorities, dependencies, and trade-offs explicit, and follow through on commitments. - Make production operations sustainable. Set standards for reliability, latency, throughput, and data correctness. Improve observability, testing, incident response, and on-call practices so the platform can scale We’re looking for candidates who have: - Experience building and operating high-throughput, event-driven distributed systems - Strong hands-on engineering judgment. You can work through implementation details, identify the real constraints in a design, and help the team make sound architectural decisions. - Experience managing engineers, including coaching, performance management, and career development, with evidence of improving both team effectiveness and engineering quality. - A track record of delivering complex technical initiatives across teams, breaking ambiguous problems into manageable steps, and balancing immediate customer needs with longer-term platform investment. - A collaborative leadership style: you welcome challenges, explain your decisions, and help engineers develop the judgment and ownership to lead work themselves. - Interest in blockchain and cryptocurrencies, or eagerness to learn. Nice to have: - Experience modernizing or migrating critical production systems while maintaining service continuity. - Familiarity with JVM services in production. - Experience operating customer-facing systems with strict latency and availability requirements. - Background in compliance, payments, fraud, or another regulated domain. - Blockchain protocol knowledge. AI at Chainalysis AI is not a feature at Chainalysis - it is a new way of working. One that turns instructions into work done, and helps us move faster than the threats we're built to counter, and we expect our employees to take ownership of the output and ensure quality. As the world's most trusted blockchain analytics platform, Chainalysis sits at a rare intersection of proprietary data, regulatory relationships and crypto expertise that makes it uniquely placed to shape and lead the next era of AI-driven intelligence - and we expect everyone here, regardless of role, to be an active part of it. AI fluency is tied directly to how we measure performance and how we plan to win. There is no substitute for your own curiosity. We provide the tools, workflows, and space to experiment - but the expectation is that you develop these capabilities yourself, bring ideas, and collaborate across teams to reinvent the way work gets done. We are not using AI to do less. We are using it to do what was never possible before. About Chainalysis Chainalysis is the blockchain data platform, making it easy to connect the movement of digital assets to real-world services. Powered by deep blockchain data and AI, organizations can investigate illicit activity, manage risk exposure, and develop innovative market solutions built on the industry's most trusted blockchain intelligence. Our mission is to build trust in blockchains, blending safety and security with an unwavering commitment to growth and innovation. You belong here.  At Chainalysis, we believe that diversity of experience and thought makes us stronger. With both customers and employees around the world, we are committed to ensuring our team reflects the unique communities around us. We’re ensuring we keep learning by committing to continually revisit and reevaluate our diversity culture. We encourage applicants across any race, ethnicity, gender/gender expression, age, spirituality, ability, experience and more. If you need any accommodations to make our interview process more accessible to you due to a disability, don't hesitate to let us know. You can learn more here https://go.chainalysis.com/rs/503-FAP-074/images/Interview%20Accommodations%20Request.pdf. We can’t wait to meet you.

Location: Hyderabad, India Workplace: Hybrid WHO WE ARE Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. ABOUT THE ROLE: Notion is looking for a Forward Deployed Engineer focused on migrations to join our growing team in India. You will help deliver complex, production-grade data migrations, integrations, and automations for customers across APAC. This is initially an internally focused, hands-on engineering role. You will partner closely with regional Forward Deployed Engineers, who own customer discovery, solution architecture, stakeholder communication, risk management, and final customer validation. You will own the behind-the-scenes technical execution layer from feasibility assessment and implementation through testing, production rollout, QA, reconciliation, reporting, and operational handoff. You will work across multiple customer environments and source systems, often with incomplete requirements, imperfect data, and real-world constraints. Success requires strong engineering fundamentals, sound judgment, careful validation, and the ability to turn one-off delivery work into reusable tools and repeatable playbooks. As a founding engineer in India, you will help build a new regional engineering capability from the ground up. You will create migration infrastructure, standards, and reusable tooling used by FDEs across APAC, while establishing practices that can scale globally. The role offers an opportunity to become a technical authority for production migration delivery, shaping how Notion approaches reliability, validation, and operational quality across complex customer environments. As the team grows, the role may also expand toward customer-facing FDE work, technical leadership, or a deeper engineering path, depending on business needs and demonstrated capability. WHAT YOU'LL ACHIEVE: - Own the technical execution layer after customer requirements, scope, and solution architecture have been established with the regional FDE. Contribute to feasibility assessment, estimation, implementation planning, and risk identification while the regional FDE remains accountable for customer discovery, scope, architecture, stakeholder communication, and final acceptance. - Apply a repeatable migration lifecycle covering source inventory and sampling, scope and pruning decisions, compatibility and degradation assessment, transformation design, pilot or dry run, user acceptance testing, production cutover, reconciliation, remediation, hypercare, and documented handoff. - Translate approved customer and regional FDE requirements into clear technical designs, implementation plans, test strategies, runbooks, and delivery estimates. - Build production-quality migration utilities, backend services, data pipelines, integrations, and automations using Python, SQL, APIs, databases, and cloud infrastructure. - Investigate source-system behavior, data quality issues, permissions, rate limits, authentication constraints, and edge cases, then recommend practical solutions. - Design and validate permissions, ownership, and inheritance mappings against the approved migration plan. Make unsupported or ambiguous access requirements explicit, obtain the required decision or approval, and preserve evidence of validation. - Design migrations for reliability, scale, security, observability, idempotency, failure recovery, and safe reruns. - Execute migrations only through approved environments, devices, accounts, and tooling. Follow least-privilege access, customer-specific security and data-residency requirements, and approved handling procedures. Do not store customer data in unmanaged local or external systems, and escalate privacy, security, or sovereignty concerns before execution. - Build validation and reconciliation frameworks that provide clear evidence of migration completeness, accuracy, and exceptions. - Debug failures across application code, infrastructure, customer data, third-party systems, and the Notion platform, then drive issues through resolution. - Manage multiple implementation workstreams, dependencies, and priorities while communicating scope, progress, risks, and trade-offs clearly. - Surface scope changes, unsupported requirements, timeline risks, and material effort increases early. Document assumptions and trade-offs, and escalate with options and a recommended path rather than silently absorbing additional work. - Maintain an auditable record of scope, decisions, risks, approvals, validation evidence, and customer acceptance criteria in the agreed shared workspace or channel. - Convert repeated delivery patterns into reusable components, automation, documentation, and playbooks that improve speed, quality, and cost over time. - Bring field learnings back to Notion's Product and Engineering teams as actionable platform feedback and technical requirements. SKILLS YOU'LL NEED TO BRING: - 3 to 6 years of hands-on experience in backend engineering, data engineering, integration engineering, implementation engineering, technical consulting, solutions engineering, or a similar technical role. - Strong hands-on Python development experience. - Working experience with Node.js, JavaScript, or TypeScript. - Strong SQL skills and a solid understanding of relational databases, data modeling, and data transformation. - Experience working with REST APIs, JSON, authentication, webhooks, and system integrations. - Experience owning a production migration, integration, or technical implementation through mapping, transformation, testing, rollout, validation, and handoff. - Experience taking a technical problem from requirements and design through development, testing, deployment, and production operation. - Experience with Git, code review, automated testing, release practices, and production deployment. - Strong debugging, analytical, and problem-solving skills across code, data, infrastructure, and external systems. - Evidence of working on production systems, not only prototypes or proof-of-concept projects. - Clear written and verbal English communication, with the ability to explain technical decisions, constraints, and risks to technical and non-technical stakeholders. - High agency and ownership. You are comfortable making progress with incomplete information, challenging assumptions, and escalating with options and a recommendation. NICE TO HAVES: - Experience with Docker, Kubernetes, CI/CD, job orchestration, or infrastructure automation. - Experience with AWS, GCP, or Azure. - Familiarity with message queues, event-driven systems, distributed-system patterns, retries, concurrency, and rate limits. - Experience with monitoring, logging, alerting, or other observability tools. - Experience with enterprise SaaS applications, professional services, or large-scale customer implementations. - Experience migrating large volumes of content or structured data between enterprise platforms. - Experience with AI or LLM applications, retrieval-augmented generation, evaluation frameworks, or agentic workflows. - Familiarity with MCP, tool calling, Notion Workers, Custom Agents, or similar extensibility platforms. - Experience working with distributed global or APAC teams. WHAT SUCCESS LOOKS LIKE: In your first 90 days, you will: - Learn Notion's migration and implementation ecosystem, engineering standards, and APAC delivery model. - Establish a productive working rhythm with regional FDE partners. - Contribute to at least one migration or integration workstream through production delivery. - Leave behind clear technical documentation, validation evidence, and an operational runbook. Within your first six months, you will: - Independently own production migration or integration workstreams from technical design through rollout and handoff. - Deliver measurable improvements in migration turnaround time, validation quality, delivery cost, or regional FDE execution hours through reusable engineering. - Help establish repeatable quality controls, code review practices, runbooks, and observability patterns for the India team. - Demonstrate effective prioritization and communication across multiple concurrent APAC engagements. - Turn at least one repeated delivery pattern into a reusable tool, component, or playbook that is adopted by a subsequent engagement. LOCATION: This role is based in Hyderabad, India. We work from our offices on Mondays, Tuesdays, and Thursdays, our Anchor Days, because we do our best thinking and building together in person. We're looking for someone who's excited to work alongside the team during those days. By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy https://notion.notion.site/Notion-Global-Recruiting-Privacy-Policy-fc3eb4e829354a26a2bb6fd5e289b550. https://dev.notion.so/a3ce416456924276a59de91bca740028?pvs=21 #LI-Onsite A NOTE ON AI You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on. EQUAL OPPORTUNITY & ACCOMMODATIONS We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know. Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.

Location: Paris, France Workplace: Hybrid HEALTH CAN’T WAIT. Not for symptoms to get worse. Not for a six‑month appointment. Not for a system to catch up. But that’s exactly how healthcare works today. You wait, until you can’t. Alan exists to end the wait. Health is a universal right, and we believe this right can only become real when it’s coupled with prevention. We need to stop treating health as something we repair and start treating it as something we build, every day. It’s not solely a question of willpower. It’s the healthcare system itself that needs to work for everyone, in a sustainable way. So we are building the new standard in prevention insurance. Alan is the first company that integrates insurance, prevention, and care into a single, acclaimed user experience. We are on an incredible journey to build a global leading company, with a unique culture https://alan.com/en/careers. We already partner with 40K+ companies of all sizes, serving more than 1M+ members, and have reached €800M+ in ARR. Prevention as the new norm. That's what we're building with our team of 1000+ people. If it speaks to you: we're hiring across France, Spain, Belgium, and Canada. And beyond. 🤖 WHO WE ARE Alan Clinic. A health companion and a digital clinic for everyone. We're a small team within Alan, on a mission to redefine the future of care by democratizing access to medical expertise. The Clinic is two crews building one experience: - Mo. An intelligent, empathetic, multimodal LLM-based conversational AI assistant able to prescribe, triage, and proactively follow up on care. We kicked off in 2023 and launched Mo to all our French members (1M) in Q1 2026, making it the first safe AI health companion live at scale in Europe. - Clinic Platform. The medical services behind the conversation: chat with health practitioners, teleconsultation, and care programs across primary care, mental health, and physiotherapy. Imagine giving every person in the world instant, 24/7 access to personalised medical expertise (through chat, voice, or video) with AI agents working in tandem with real doctors and the health system. That's what we are building 🤖🏥. 🚀 WHAT YOU'LL BUILD AND WHO YOU'LL WORK WITH We're building a medical experience that works reliably, safely, and at scale. An AI agent, and the clinic behind it. You'll lead the engineering team and you'll keep building alongside them. The crews work at the intersection of product engineering, ML engineering, and medical expertise. As their engineering leader, you own: - 💬 The team behind the most memorable chatting experience. Hiring, onboarding, honest feedback, and the mix of skills Mo needs as it grows. Talent density is yours to own. - ➕ The architecture for Mo's next chapters. More context, new skills, new countries. You guide the calls on our architecture and agentic framework, and you stay close enough to the code to make them well. - 🏥 The platform that turns conversations into care. Chat with health practitioners, teleconsultation at national scale, and the tooling doctors and therapists use every day. You drive alignment with the crews and medical teams on the other side, so members get from words to actions. - 🛡️ Operational excellence. Mo and teleconsultation are real-time services that have to be live 24/7. Latency, error rates, incident response, and an on-call rotation that doesn't burn people out. If you're excited by the idea of building the future of healthcare, this is the team for you. We're at the start of the journey. If you're curious, here https://arxiv.org/abs/2411.12808 is a paper we published recently. ⚡ WHY THIS ROLE IS SPECIAL - Dual impact: Shape both technical excellence and team growth - your engineers become better while building better products - Leadership growth: Influence engineering culture, mentor future leaders, and drive technical strategy that shapes the future of healthcare delivery - Startup speed, Alan's platform. Mo operates with the focus of a startup, on top of Alan's infrastructure, distribution, and health expertise. Small team, huge reach. - Stakes that make the work matter. In medical AI, reliability and safety are the product. Every call you make on quality, architecture, and evaluation is a call about our members' health. 🔍 WHAT WE'RE LOOKING FOR We're looking for an engineering leader who gets excited about building state-of-the-art AI systems and applying them to real-world, high-stakes problems in healthcare. LEADERSHIP EXPERIENCE - 3+ years leading engineering teams, with a track record of building high performers. - You partner with other product functions as a true equal: you shape the roadmap, name trade-offs honestly, and help the team commit to what it can actually deliver. TECHNICAL FOUNDATIONS - Experience establishing engineering excellence standards, with the ability to guide architectural decisions. - First-hand experience shipping AI or LLM products to production is a big plus. - You're excited and eager to keep writing code. You still review it, and you still ship some yourself. - Comfortable with modern development practices and AI-assisted development tools. WHAT WE VALUE - Curious, self-starting, humble, collaborative, and eager to grow. - You develop people as much as you develop products. - Ex-founders are typically a great fit in our team. MISSION ALIGNMENT - Healthcare technology and innovation excite you - You understand that great engineering teams are built on psychological safety and continuous learning But above all, we are looking for high potential and curiosity: make sure to show us this when you apply! 🎯 IMPORTANT NOTE: WE HIRE PEOPLE, NOT ROLES. If you're excited about this opportunity but don't check every box, we'd love to hear from you. Everyone, no matter how underrepresented, should feel free to apply, as it can only bring learnings or success. If you identify yourself as a woman: Did you know that research shows women often apply only when meeting 100% of requirements? Remember, this is just a guide, not a checklist. We'll be thrilled to receive your application! 🔖 Check out our About Alan https://alan.com/about and Career https://alan.com/careers pages, as well as our Medium https://medium.com/alan, blog https://blog.alan.com/ and Glassdoor page https://www.glassdoor.com/Overview/Working-at-Alan-EI_IE1696043.11,15.htm for more info.

Algolia is a market leader in AI Search, serving over 18,000 businesses and processing over 30 billion search requests weekly. The company raised $150 million in Series D funding in 2021, reaching a valuation of $2.25 billion. The Customer Success Engineer role involves ensuring customers successfully adopt, implement, and scale Algolia's search and discovery platform. Responsibilities include delivering technical onboarding, solution design, best-practice guidance, and hands-on implementation support. The role requires partnering with customers to design scalable solutions, supporting Professional and Expert Foundation offerings, acting as a Technical Owner for assigned accounts, and ensuring smooth delivery through communication, documentation, and stakeholder alignment. Key tasks include consulting customers, delivering technical workshops, advising on search implementation and optimization, collaborating with Customer Success Managers, escalating issues as needed, partnering with Product and Engineering teams, reporting case status, identifying and resolving technical risks, and optimizing customer environments. Requirements: — 4+ years in a customer-facing technical role (CSE, SE, SA, consultant), preferably in SaaS — Functional knowledge of at least one programming language: JavaScript, Java, PHP, C#, Objective-C, Swift, Ruby, Python — Experience with REST API, database management, and web development technologies — Experience delivering technical workshops (training, knowledge transfer, implementation, code review) — Lifelong learning and growth mindset — Ability to explain complex technical concepts to broad audiences — Proficiency in communicating technical issues to technical and non-technical audiences via phone and email — Excellent time management, task prioritization, and situational urgency evaluation — Occasional travel to customer locations may be required Nice to have: — Experience implementing or optimizing search & discovery experiences — Experience designing and developing generative AI and agentic applications — Experience in high-growth SaaS environments — Familiarity with iOS & Android platforms — Experience supporting open-source projects and GitHub communities — Experience with Shopify, Magento, and Salesforce Algolia offers a flexible workplace strategy with options for fully remote or hybrid-remote work. The company values grit, trust, candor, care, and humility. Algolia is committed to diversity, inclusion, and creating a respectful workplace. Candidates are advised to apply only through the official careers page and be cautious of recruitment scams.

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 . The AI Security team within Reddit’s Security Platform Engineering organization builds security into Reddit’s products, engineering systems, AI platforms, and operational infrastructure so the secure path is the easiest path for both people and agents. A core part of this work is developing practical, high-quality machine learning systems that detect and prevent risks such as prompt injection, jailbreaks, sensitive data exposure, and unsafe or unauthorized AI behavior. Building on Reddit’s centralized LLM Guardrails Platform, which provides a shared security and safety boundary across major products, we are expanding ML-powered protections as Reddit’s AI systems and threat landscape evolve. We are looking for a founding Staff Machine Learning Engineer to lead the development, training, and optimization of models for AI security at Reddit. This is a strategic and hands-on individual contributor role, combining deep ownership of model architecture, training data, and experimentation with technical leadership across teams. You will help Reddit deliver stronger AI protections while preserving a high-quality product experience. How You’ll Have Impact Select, adapt, fine-tune, evaluate, and deploy pretrained models and lightweight classifiers for Reddit-specific security problems. Build reproducible training and evaluation pipelines on Reddit’s ML platform, partnering with platform engineers to improve inference performance, resource efficiency, and operational reliability. Set the technical vision and multi-quarter modeling roadmap, partnering with cross-functional teams to gather requirements, define model architectures, and iterate on model development. Conduct model evaluations and performance analysis to improve accuracy and adversarial robustness, and define launch criteria that balance false positives, latency, throughput, reliability, and cost. Own training-data quality and the production model lifecycle, using monitoring, incident findings, and red-team feedback to guide dataset improvements, retraining, and safe rollout or rollback. Establish best practices for responsible ML development and deployment, including reproducible experiments, testing, model and data lineage, and privacy-aware data use. Stay current with research in NLP, large language models, and relevant multimodal techniques, translating promising advances into measurable model improvements. Mentor engineers and lead technical discussions and reviews, shaping the team’s long-term ML capabilities and AI security direction. Who You Might Be 8+ years of experience developing machine learning models, with substantial hands-on model training experience, demonstrated production impact, and a record of leading complex initiatives across teams. Strong background in Python programming, software engineering, and deep learning frameworks and libraries such as TensorFlow, PyTorch, or Hugging Face Transformers. Deep understanding of neural network architectures and optimization, with proficiency in data preprocessing, tokenization, embeddings, language modeling, and model calibration. Expertise in scalable data pipelines and distributed training frameworks such as Ray Train or PyTorch Distributed, with a strong understanding of hardware and system tradeoffs. Demonstrated rigor in experimental design and model evaluation, including representative holdouts, ablation studies, adversarial tests, and error analysis to diagnose training issues, bias, and generalization gaps. Excellent written and verbal communication, with the ability to explain model behavior, security risk, uncertainty, and tradeoffs to technical and non-technical partners. Preferred Qualifications Experience applying ML to security, trust and safety, fraud, privacy, or related adversarial domains. Experience with adversarial training, model distillation, active learning, or synthetic-data generation to improve model quality, robustness, and training efficiency. 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-Remote 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: Renton, Washington, United States We take play seriously. We’re looking for curious adventurers ready to find their party, fueled by imagination and drive to build what’s never been built before. At Hasbro and Wizards of the Coast, you’ll collaborate with passionate teams to reimagine our iconic brands and create experiences that spark joy, connection, and community through the magic of play. This is your chance to shape legendary play that lasts a lifetime. Job Overview Magic’s future depends on welcoming new players and helping them build a lasting connection with the game. As the Innovation Designer for New Player Growth, you will do the hands-on design work behind new products and experiences that make Magic easier to discover, learn, and enjoy. You will turn early ideas into tangible concepts that teams can play, test, and improve. Your work will include light game design, rapid prototyping, and player testing. You will explore introductory products, solo and cooperative experiences, new ways to learn, and offerings that extend beyond traditional Magic products. Working closely with the Product Architect, you will translate growth priorities and player insights into experiences that welcome broader audiences. You will also partner with Game Design, Consumer Insights, Creative Design, Digital, and Production to move promising concepts from discovery toward launch. You will have opportunities to grow your design practice across physical, digital, and experiential products. If your experience does not align with every qualification listed, we still encourage you to apply. Location and Work Arrangement This role is based at our Renton, Washington office and follows a hybrid schedule designed to support in-person collaboration. Employees are expected to work onsite on Tuesdays, Wednesdays, and Thursdays, with the flexibility to work remotely or onsite on Mondays and Fridays. What You'll Do Design and prototype new physical, digital, and connected products that help people begin and continue their Magic journey. Apply game design principles to develop gameplay concepts, learning experiences, rules, content structures, and new modes of play. Explore product forms, play patterns, partnerships, and occasions that can introduce Magic to audiences beyond established trading card game players. Improve introductory and acquisition-focused products by making them welcoming, engaging, and easy to navigate. Turn player needs and business opportunities into testable concepts, prototypes, and pilot experiences. Plan and facilitate playtests. Observe player behavior, gather feedback, and revise designs based on what you learn. Design experiences that help new players feel capable, make meaningful choices, and connect with other people. Partner with cross-functional teams to assess feasibility, define requirements, and prepare validated concepts for development. Establish clear learning goals and success measures for prototypes. Use research, product data, and player feedback to guide decisions. Present concepts, prototypes, findings, and recommendations to cross-functional teams and senior leaders. Evaluate products after launch and recommend improvements that strengthen onboarding, engagement, and long-term participation. What You'll Bring Experience in game design, product design, UX design, innovation, or a related creative field. A portfolio or examples showing how you developed, tested, and improved concepts through an iterative design process. Ability to create prototypes that communicate an idea and generate useful player feedback. Graphic design skills and the ability to create clear, compelling visual presentations, prototypes, and design materials. Experience presenting ideas and facilitating productive discussions with groups, including cross-functional teams and senior leaders. Understanding of game systems, player motivation, learning design, or interactive experiences. Experience working with partners across creative, technical, research, and business disciplines. Clear communication skills and the ability to share the vision of design choices to varied audiences. Knowledge of and passion for Magic: The Gathering, or experience with similarly complex games and systems, is a plus. Empathy for new players and curiosity about the barriers that affect learning, participation, and belonging. Who We Are We’re a team of creators, storytellers, and innovators united under the Hasbro family and home to beloved brands, AAA digital games studios and immersive experiences that spark imagination across generations. Together, we’re committed to a culture rooted in creativity, excellence, curiosity, and inclusion, and where every employee is empowered to think boldly, act with integrity, and spark joy for all. Hasbro About the Company – Hasbro Wizards of the Coast Who We Are – Wizards of the Coast Equal Opportunity Hasbro is committed to equality of opportunity in all aspects of employment. We are committed to making all employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, marital status, or any other legally protected status. Accommodations If you have a disability and need reasonable accommodation during the hiring process, please inform your recruiter anytime throughout the process. Notice Regarding Hasbro’s use of AI in the Recruitment Process We use Greenhouse’s AI-powered Talent Matching tool to compare your application against our job requirements. How it works: Talent Matching compares information from your resume and application responses with job-related criteria established and weighted by Hasbro’s recruiting and hiring teams. Depending on the role, these criteria may include relevant skills, work experience, prior job titles, and industry experience. The tool then assigns a match category to help organize applications for review. Human oversight: Talent Matching supports — but does not replace — human review. It does not automatically advance or reject candidates or make employment decisions. Hasbro’s recruiters and hiring managers review applications and remain responsible for all hiring decisions. Greenhouse has published the results of an independent bias audit of Talent Matching. View the Greenhouse Talent Matching audit results . The pay transparency range for this role is listed below. The hiring range will vary based on factors such as experience, skills, location and market conditions. Additionally, employees may be eligible for annual and long-term incentives as part of their overall compensation package. Pay Range $112,000 — $168,000 USD Employees may be eligible for annual and long-term incentives as part of their overall compensation package, depending on role, location, and eligibility. Benefits and programs may include: Health & Wellness Time Off to Recharge Financial Well-being Life & Family Support Volunteer and Community Initiatives Learning & Development Exclusive Perks Please review our Applicant Privacy Notice to learn how we collect, use, and protect your personal information in connection with the application process.

Location: London 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 We’re building a founding team of Strategic Account Executives in London. Strategic accounts at Baseten are the largest and fastest-growing AI companies in the world. These are the teams defining the future of what AI products and services look like. These accounts can scale rapidly from one token to billions of tokens in a matter of weeks. This role owns these relationships, working directly with founders and engineering leaders on mission-critical and large-scale-AI problems in production—and shaping what we build next. This is a highly technical sale. You’ll trade opinions on the latest open-source model releases, run fast and nuanced evaluations alongside customer engineering teams, and often pulling in SMEs from applied research to infrastructure engineers to win. You’ll bring tight sales fundamentals and process discipline, while maintaining flexibility and creativity in how you run each cycle. This role is pioneering what sales looks like at the bleeding-edge of technology sales. This is a front row seat to the most consequential decisions made at the forefront of Artificial Intelligence. There is no faster place to learn and make an immediate impact.   RESPONSIBILITIES - Own a focused portfolio of high-growth, strategic AI-native accounts end to end — from technical evaluation and initial workload landing through expansion as inference usage scales. - Lead technical evaluations and complex, multi-stakeholder sales cycles from first conversation through close. Bring strong sales fundamentals and process discipline, while staying flexible and creative in how you run each sales cycle. - Build trusted relationships with founders and technical leaders, becoming a credible partner on model, infrastructure, and inference decisions. - Orchestrate stakeholders across applied research, engineering, and leadership to win technical evaluations and solve customer problems. - Bring customer signal back to product, shaping roadmap priorities through the needs and patterns you see in the field. - Stay close after close: help customers expand from an initial workload into additional use cases across the organization.   REQUIREMENTS - 5+ years of sales experience in infrastructure, developer tools, data, or another consumption business, with a record of closing complex technical deals. - Proven net-new experience selling complex technical products in fast-moving environments. - Strong sales fundamentals across discovery, multi-threading, champion-building, and deal momentum. - Genuine curiosity for open-source models and the AI infrastructure landscape. You follow model releases and can hold your own with engineers. - Highly dynamic: comfortable when a deal goes off-script, able to meet customers where they are, and willing to change your approach without losing rigor. - Strong technical project management: you can run a thorough evaluation across multiple workstreams and create clarity and direction for Baseten to win.. - Proven ability to sell internally, earning engineering time, aligning leadership, and getting cross-functional teams to move - Scrappy, low-ego, collaborative operator. You run toward ambiguous problems, create structure where none exists, and earn internal support without relying on rigid swim lanes. 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: San Antonio, United States A rapidly growing luxury Western lifestyle retailer is seeking an accomplished General Manager to lead its San Antonio store. This is a highly visible leadership opportunity for someone who combines strong retail business acumen with exceptional people leadership, sales ability and a passion for delivering a personalized luxury customer experience. The General Manager will operate the store with an ownership mindset, taking responsibility for its commercial performance, team, customer relationships and day-to-day operations. Responsibilities Take ownership of store sales, profitability, payroll, inventory and operational performance. Deliver an elevated, highly personalized customer experience. Build a strong clienteling culture that encourages loyalty, referrals and repeat business. Recruit, coach, motivate and retain a high-performing sales and support team. Establish clear goals and monitor conversion, average transaction value, units per transaction and individual performance. Analyze sales trends and take timely action to improve results. Maintain exceptional merchandising, presentation, organization and product-care standards. Develop relationships and partnerships within the Houston community. Ensure the team can confidently communicate the craftsmanship and stories behind the merchandise. Build a culture of accountability, teamwork, trust and recognition. Requirements Demonstrated retail management experience, ideally within luxury, premium or high-touch specialty retail. Proven success leading, coaching and developing retail sales teams. Strong commercial understanding of sales, payroll, inventory and store performance. Experience building customer relationships and developing a clienteling culture. Entrepreneurial, results-oriented mindset with ownership of outcomes. Confident decision-making and problem-solving ability. Excellent communication, organization and leadership skills. Ability to work on-site, including evenings, weekends, holidays and peak retail periods. An appreciation of luxury craftsmanship, fashion or the Western lifestyle. Western retail experience is preferred. Bi-Lingual - both spoken English & Spanish. Benefits Base salary of $80,000. Relocation assistance available. Approximately 80% of employee healthcare coverage paid by the employer. 10 days of annual paid time off, with potential flexibility. Keller is a recruitment agency that provides services to clients ranging from startups and non-profits to multinational corporations. Keller emphasizes ethical search processes, attentive candidate care, and leadership placements that support long-term client outcomes. To learn more about the firm and about our candidate services - please visit our website Equal Employment Opportunity and Non-Discrimination Policy Equal Employment Opportunity Statement: Both Keller Executive Search and our clients are Equal Opportunity Employers. For all positions, whether with Keller Executive Search or our clients, qualified applicants will receive consideration for employment without regard to race, skin color, religion, sex, sexual orientation, gender identity, gender expression, national origin, age, protected veteran status, disability, genetic information, or any other legally protected status. Commitment to Diversity: Keller Executive Search and its clients are committed to fostering a diverse and inclusive work environment where all individuals are valued and respected. Reasonable Accommodations: Both Keller Executive Search and our clients are committed to providing reasonable accommodations to individuals with disabilities and pregnant individuals. We engage in an interactive process to determine effective, reasonable accommodations. Compensation Information: For client positions, compensation information is available in the job post. If not provided, it will be shared during the interview process in accordance with applicable laws. When required by law, salary ranges will be included in job postings. Actual salary may depend on skills, experience, and comparison to current employees in similar roles. Salary ranges may vary based on role and location. Compliance with Laws: Both Keller Executive Search and our clients comply with federal, state, and local laws governing nondiscrimination in employment. This policy applies to all employment terms and conditions, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. Workplace Harassment: Both Keller Executive Search and our clients expressly prohibit any form of workplace harassment based on race, skin color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. E-Verify Participation: Keller Executive Search and/or our clients may participate in E-Verify. Information about E-Verify participation will be provided during the application process where applicable. Privacy and Pay Equity: California Residents: For more information about the categories of personal information we collect for recruiting and employment purposes, please review our Privacy Policy at www.kellerexecutivesearch.com . Colorado, Nevada, New York City, California, and Washington Residents: Compensation information is available in the job post or will be provided during the interview process if not initially available. Both Keller Executive Search and our clients are committed to pay equity and conduct periodic pay equity analyses in accordance with applicable laws. State-Specific Information: Rhode Island: We do not request or require salary history from applicants. Connecticut: We provide wage range information upon request or before discussing compensation. New Jersey: We do not inquire about salary history unless voluntarily disclosed. Veteran Status: Both Keller Executive Search and our clients provide equal employment opportunities to veterans and comply with applicable state laws regarding veteran preference in employment. If you are a veteran, please inform us during the application process. Use of Artificial Intelligence in Recruitment Keller Executive Search and our clients may use artificial intelligence (AI) tools to assist in the recruitment and candidate evaluation process. These tools are used exclusively to support human decision-making by helping to review and assess candidate qualifications and materials. AI is never used to automatically reject, disqualify, or make final hiring decisions about candidates. All AI-assisted evaluations are reviewed by experienced recruitment professionals, and all hiring decisions are made by qualified human recruiters. Our use of AI is designed to enhance fairness, consistency, and efficiency while maintaining our commitment to equal employment opportunity and non-discrimination principles. Genetic Information: In accordance with federal and state laws, both Keller Executive Search and our clients do not discriminate based on genetic information. We do not request or require genetic information from applicants or employees, except as permitted by law. Local Laws: Both Keller Executive Search and our clients comply with all applicable local laws and ordinances regarding employment practices in the areas where we operate. Note: This job posting may be for a position with Keller Executive Search or one of our clients. The specific employer will be identified during the application and interview process. Employment laws and requirements may vary depending on the employer and location.

Location: Spain; Serbia; Poland; Portugal; Budva, Montenegro Action1 is an autonomous patch management platform trusted by many Fortune 500 companies. Cloud-native, infinitely scalable, highly secure, and configurable in 5 minutes, it just works and is always free for the first 200 endpoints, with no functional limits. By pioneering autonomous OS and third-party application patching, Action1 helps organizations eliminate routine work, reduce ransomware and security risks, and protect the digital employee experience. It provides real-time vulnerability assessment and remediation across remote and on-site endpoints without requiring a VPN, while peer-to-peer patch distribution reduces bandwidth use on local networks. In 2026, Action1 was recognized as the fastest-growing founder-led cybersecurity company in America on the Inc. 5000. Action1 is led by industry veterans Alex Vovk and Mike Walters, American entrepreneurs who founded Netwrix, which has grown into an industry-leading, multibillion-dollar cybersecurity company. We are looking for a Dev Manager to lead the engineering team responsible for endpoint configuration management capabilities. You will combine engineering leadership with hands-on technical expertise to help customers define desired configurations, apply changes safely, and maintain consistent settings across their environments. Lead and develop a team of engineers, providing technical direction, mentoring, and regular feedback. Own delivery outcomes within the agreed scope, provide practical estimates, and make capacity and priority tradeoffs visible. Work with Product Management and EVP to define priorities and translate customer needs into executive reporting capabilities. Oversee the design, development, and maintenance of configuration management features, including: Configuration policies, templates, and reusable settings, including CIS Benchmark-based baselines. Assessment of endpoint configurations against supported baselines and reporting of deviations. Endpoint targeting, grouping, and policy assignment. Configuration discovery and comparison with desired state. Detection and remediation of configuration drift. Validation, staged rollout, and rollback of configuration changes where supported. Configuration status reporting, change history, and audit trails. Guide technical decisions within the assigned domain from solution design through development and production rollout, coordinating cross-cutting architecture and security decisions with their designated owners. Establish clear definitions for metrics, reporting periods, data freshness, and missing data so customers can interpret results accurately. Coordinate with Product Value and core engineering teams on source data, reporting content, access controls, and shared infrastructure. Own automated pipelines for building, testing, validating, and deploying reporting services.\ Apply AI technologies where they improve development Requirements What we're looking for Experience leading software engineers and owning the delivery and operation of production systems. Strong software engineering fundamentals and the ability to guide architecture and contribute to technical problem-solving. Excellent knowledge of Node.js, JavaScript, TypeScript, and Python. Experience building and operating AWS services in production. Hands-on experience with endpoint management, configuration automation, or systems that enforce desired state. Understanding of operating system configuration, policy evaluation, idempotent operations, and safe change execution. Experience designing systems that handle intermittent connectivity and partial failures. Strong communication skills and the ability to align engineering work with product priorities. Professional working proficiency in English for leading an English-speaking team and collaborating across functions. Nice to have Experience writing automated tests for configuration changes and remediation workflows. Proficiency in SQL. Experience with PowerShell and Windows administration. Experience with runtime isolation and sandboxing for sensitive execution. Experience in B2B SaaS, security, compliance, or data governance. Experience building high-load products with numerous endpoints. Experience with CIS Benchmarks, configuration baselines, policy versioning, and auditability. Benefits Fully remote work, giving you the flexibility you need in the modern world. A collaborative environment encouraging you to own your domain and implement best practices. Stable income, benefits, flexible working hours, and opportunities for promotion. Friendly and professional peers, eager to help and help you grow. A multitude of interesting challenges and opportunities.

Location: United States Action1 is an autonomous patch management platform trusted by many Fortune 500 companies. Cloud-native, infinitely scalable, highly secure, and configurable in 5 minutes, it just works and is always free for the first 200 endpoints, with no functional limits. By pioneering autonomous OS and third-party application patching, Action1 helps organizations eliminate routine work, reduce ransomware and security risks, and protect the digital employee experience. It provides real-time vulnerability assessment and remediation across remote and on-site endpoints without requiring a VPN, while peer-to-peer patch distribution reduces bandwidth use on local networks. In 2026, Action1 was recognized as the fastest-growing founder-led cybersecurity company in America on the Inc. 5000. Action1 is led by industry veterans Alex Vovk and Mike Walters, American entrepreneurs who founded Netwrix, which has grown into an industry-leading, multibillion-dollar cybersecurity company. We are looking for a Dev Manager to lead the engineering team responsible for endpoint configuration management capabilities. You will combine engineering leadership with hands-on technical expertise to help customers define desired configurations, apply changes safely, and maintain consistent settings across their environments. Lead and develop a team of engineers, providing technical direction, mentoring, and regular feedback. Own delivery outcomes within the agreed scope, provide practical estimates, and make capacity and priority tradeoffs visible. Work with Product Management and EVP to define priorities and translate customer needs into executive reporting capabilities. Oversee the design, development, and maintenance of configuration management features, including: Configuration policies, templates, and reusable settings, including CIS Benchmark-based baselines. Assessment of endpoint configurations against supported baselines and reporting of deviations. Endpoint targeting, grouping, and policy assignment. Configuration discovery and comparison with desired state. Detection and remediation of configuration drift. Validation, staged rollout, and rollback of configuration changes where supported. Configuration status reporting, change history, and audit trails. Guide technical decisions within the assigned domain from solution design through development and production rollout, coordinating cross-cutting architecture and security decisions with their designated owners. Establish clear definitions for metrics, reporting periods, data freshness, and missing data so customers can interpret results accurately. Coordinate with Product Value and core engineering teams on source data, reporting content, access controls, and shared infrastructure. Own automated pipelines for building, testing, validating, and deploying reporting services.\ Apply AI technologies where they improve development Requirements What we're looking for Experience leading software engineers and owning the delivery and operation of production systems. Strong software engineering fundamentals and the ability to guide architecture and contribute to technical problem-solving. Excellent knowledge of Node.js, JavaScript, TypeScript, and Python. Experience building and operating AWS services in production. Hands-on experience with endpoint management, configuration automation, or systems that enforce desired state. Understanding of operating system configuration, policy evaluation, idempotent operations, and safe change execution. Experience designing systems that handle intermittent connectivity and partial failures. Strong communication skills and the ability to align engineering work with product priorities. Professional working proficiency in English for leading an English-speaking team and collaborating across functions. Nice to have Experience writing automated tests for configuration changes and remediation workflows. Proficiency in SQL. Experience with PowerShell and Windows administration. Experience with runtime isolation and sandboxing for sensitive execution. Experience in B2B SaaS, security, compliance, or data governance. Experience building high-load products with numerous endpoints. Experience with CIS Benchmarks, configuration baselines, policy versioning, and auditability. Benefits Fully remote work, giving you the flexibility you need in the modern world. A collaborative environment encouraging you to own your domain and implement best practices. Stable income, benefits, flexible working hours, and opportunities for promotion. Friendly and professional peers, eager to help and help you grow. A multitude of interesting challenges and opportunities.