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Anthropic353 дн назад

Location: 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: When you see what modern language models are capable of, do you wonder, "How do these things work? How can we trust them?" The Interpretability team at Anthropic is working to reverse-engineer how trained models work because we believe that a mechanistic understanding is the most robust way to make advanced systems safe. We’re looking for researchers and engineers to join our efforts. People mean many different things by "interpretability". We're focused on mechanistic interpretability, which aims to discover how neural network parameters map to meaningful algorithms. Some useful analogies might be to think of us as trying to do "biology" or "neuroscience" of neural networks using “microscopes” we build, or as treating neural networks as binary computer programs we're trying to "reverse engineer". A few places to learn more about our work and team at a high level are this introduction to Interpretability from our research lead, Chris Olah ; a discussion of our work on the Hard Fork podcast produced by the New York Times, and this blog post (and accompanying video) sharing more about some of the engineering challenges we’d had to solve to get these results. Some of our team's notable publications include A Mathematical Framework for Transformer Circuits , In-context Learning and Induction Heads , Toy Models of Superposition , Scaling Monosemanticity , and our Circuits’ Methods and Biology papers. This work builds on ideas from members' work prior to Anthropic such as the original circuits thread , Multimodal Neurons , Activation Atlases , and Building Blocks . We aim to create a solid foundation for mechanistically understanding neural networks and making them safe (see our vision post ). In the short term, we have focused on resolving the issue of "superposition" (see Toy Models of Superposition , Superposition, Memorization, and Double Descent , and our May 2023 update ), which causes the computational units of the models, like neurons and attention heads, to be individually uninterpretable, and on finding ways to decompose models into more interpretable components. Our subsequent work found millions of features in Sonnet, one of our production language models, represents progress in this direction. In our most recent work, we develop methods that allow us to build circuits using features and use this circuits to understand the mechanisms associated with a model's computation and study specific examples of multi-hop reasoning, planning, and chain-of-thought faithfulness on Haiku 3.5, one of our production models.” This is a stepping stone towards our overall goal of mechanistically understanding neural networks. We often collaborate with teams across Anthropic, such as Alignment Science and Societal Impacts to use our work to make Anthropic’s models safer. We also have an Interpretability Architectures project that involves collaborating with Pretraining. Responsibilities: Develop methods for understanding LLMs by reverse engineering algorithms learned in their weights Design and run robust experiments, both quickly in toy scenarios and at scale in large models Create and analyze new interpretability features and circuits to better understand how models work. Build infrastructure for running experiments and visualizing results Work with colleagues to communicate results internally and publicly You may be a good fit if you: Have a strong track record of scientific research (in any field), and have done some work on Interpretability Enjoy team science – working collaboratively to make big discoveries Are comfortable with messy experimental science. We're inventing the field as we work, and the first textbook is years away You view research and engineering as two sides of the same coin. Every team member writes code, designs and runs experiments, and interprets results You can clearly articulate and discuss the motivations behind your work, and teach us about what you've learned. You like writing up and communicating your results, even when they're null To learn more about the skills we look for and how to prepare for this role, see our blog post – So You Want to Work in Mechanistic Interpretability? Familiarity with Python is required for this role. Role Specific Location Policy: This role is based in San Francisco office; however, we are open to considering exceptional candidates for remote work on a case-by-case 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: $350,000 — $850,000 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. 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.

San Francisco, CA

Anthropic353 дн назад

[Expression of Interest] Research Manager, Interpretability

Location: 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. Note: we don't have open Research Manager positions on the Interpretability team at this time. However, we're actively growing our team of Research Engineers and Research Scientists . If you're excited about interpretability research and open to an individual contributor role, we encourage you to apply. About the Interpretability team When you see what modern language models are capable of, do you wonder, "How do these things work? How can we trust them?" The Interpretability team’s mission is to reverse engineer how trained models work, and Interpretability research is one of Anthropic’s core research bets on AI safety. We believe that a mechanistic understanding is the most robust way to make advanced systems safe. People mean many different things by "interpretability". We're focused on mechanistic interpretability, which aims to discover how neural network parameters map to meaningful algorithms. Some useful analogies might be to think of us as trying to do "biology" or "neuroscience" of neural networks, or as treating neural networks as binary computer programs we're trying to "reverse engineer". We aim to create a solid scientific foundation for mechanistically understanding neural networks and making them safe (see our vision post ). We have focused on resolving the issue of "superposition" (see Toy Models of Superposition , Superposition, Memorization, and Double Descent , and our May 2023 update ), which causes the computational units of the models, like neurons and attention heads, to be individually uninterpretable, and on finding ways to decompose models into more interpretable components. Our subsequent work which found millions of features in Claude 3.0 Sonnet, one of our production language models, represents progress in this direction. In our most recent work , we developed methods that allow us to build circuits using features and use these circuits to understand the mechanisms associated with a model's computation and study specific examples of multi-hop reasoning, planning, and chain-of-thought faithfulness on Claude Haiku 3.5, one of our production models.” This is a stepping stone towards our overall goal of mechanistically understanding neural networks. A few places to learn more about our work and team are this introduction to Interpretability from our research lead, Chris Olah, Stanford CS25 lecture given by Josh Batson, and TWIML AI podcast with Emmanuel Ameisen. Some of our team's notable publications include and our Circuits’ Methods and Biology papers, Scaling Monosemanticity: Extracting Interpretable Features from Claude 3 Sonnet , Towards Monosemanticity: Decomposing Language Models With Dictionary Learning , A Mathematical Framework for Transformer Circuits , In-context Learning and Induction Heads , and Toy Models of Superposition . This work builds on ideas from members' work prior to Anthropic such as the original circuits thread , Multimodal Neurons , Activation Atlases , and Building Blocks . About the role As a manager on the Interpretability team, you'll support a team of expert researchers and engineers who are trying to understand at a deep, mechanistic level, how modern large language models work internally. Few things can accelerate this work more than great managers. Your work as manager will be critical in making sure that our fast-growing team is able to meet its ambitious safety research goals over the coming years. In this role, you will partner closely with an individual contributor research lead to drive the team's success, translating cutting-edge research ideas into tangible goals and overseeing their execution. You will manage team execution, careers and performance, facilitate relationships within and across teams, and drive the hiring pipeline. If you're more interested in making individual direct technical contributions to our research as the primary focus of your role, feel free to apply to our Research Scientist or Research Engineer roles instead. Key responsibilities Partner with a research lead on direction, project planning and execution, hiring, and people development Set and maintain a high bar for execution speed and quality, including identifying improvements to processes that help the team operate effectively Coach and support team members to have more impact and develop in their careers Drive the team's recruiting efforts, including hiring planning, process improvements, and sourcing and closing Help identify and support opportunities for collaboration with other teams across Anthropic Communicate team updates and results to other teams and leadership Maintain a deep understanding of the team's technical work and its implications for AI safety You may be a good fit if you Are an experienced manager (minimum 2-5 years) with a track record of effectively leading highly technical research and/or engineering teams Have a background in machine learning, AI, or a related technical field Actively enjoy people management and are experienced with coaching and mentorship, performance evaluation, career development, and hiring for technical roles Have strong project management skills, including prioritization and cross-functional coordination and collaboration Have managed technical teams through periods of ambiguity and change Are a quick learner, capable of understanding and contributing to discussions on complex technical topics and are motivated to learn about our research Are a strong communicator both in speaking and in writing Believe that advanced AI systems could have a transformative effect on the world, and are passionate about helping make sure that transformation goes well Strong candidates may also have Experience scaling engineering infrastructure Experience working on open-ended, exploratory research agendas aimed at foundational insights Some familiarity with our work and mechanistic interpretability Role-Specific Location Policy This role is expected to be in our SF office for 3 days a week. 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: $350,000 — $500,000 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. 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.

Anthropic353 дн назад

Research Engineer, Interpretability

Location: 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: When you see what modern language models are capable of, do you wonder, "How do these things work? How can we trust them?" The Interpretability team at Anthropic is working to reverse-engineer how trained models work because we believe that a mechanistic understanding is the most robust way to make advanced systems safe. Think of us as doing "neuroscience" of neural networks using "microscopes" we build - or reverse-engineering neural networks like binary programs. More resources to learn about our work: Our research blog - covering advances including Monosemantic Features and Circuits An Introduction to Interpretability from our research lead, Chris Olah The Urgency of Interpretability from CEO Dario Amodei Engineering Challenges Scaling Interpretability - directly relevant to this role 60 Minutes segment - Around 8:07, see a demo of tooling our team built New Yorker article - what it's like to work on one of AI's hardest open problems Even if you haven’t worked on interpretability before, the infrastructure expertise is similar to what's needed across the lifecycle of a production language model: Pretraining: Training dictionary learning models looks a lot like model pretraining - creating stable, performant training jobs for massively parameterized models across thousands of chips Inference: Interp runs a customized inference stack. Day-to-day analysis requires services that allow editing a model's internal activations mid-forward-pass - for example, adding a "steering vector" Performance: Like all LLM work, we push up against the limits of hardware and software. Rather than squeezing the last 0.1%, we are focused on finding bottlenecks, fixing them and moving ahead given rapidly evolving research and safety mission The science keeps scaling - and it's now applied directly in safety audits on frontier models, with real deadlines. As our research has matured, engineering and infrastructure have become a bottleneck. Your work will have a direct impact on one of the most important open problems in AI. Responsibilities: Build and maintain the specialized inference and training infrastructure that powers interpretability research - including instrumented forward/backward passes, activation extraction, and steering vector application Resolve scaling and efficiency bottlenecks through profiling, optimization, and close collaboration with peer infrastructure teams Design tools, abstractions, and platforms that enable researchers to rapidly experiment without hitting engineering barriers Help bring interpretability research into production safety audits - with real deadlines and high reliability expectations Work across the stack - from model internals and accelerator-level optimization to user-facing research tooling You may be a good fit if you: Have 5-10+ years of experience building software Are highly proficient in at least one programming language (e.g., Python, Rust, Go, Java) and productive with Python Are extremely curious about unfamiliar domains; can quickly learn and put that knowledge to work, e.g. diving into new layers of the stack to find bottlenecks Have a strong ability to prioritize the most impactful work and are comfortable operating with ambiguity and questioning assumptions Prefer fast-moving collaborative projects to extensive solo efforts Are curious about interpretability research and its role in AI safety (though no research experience is required!) Care about the societal impacts and ethics of your work Are comfortable working closely with researchers, translating research needs into engineering solutions. Strong candidates may also have experience with: Optimizing the performance of large-scale distributed systems Language modeling fundamentals with transformers High Performance LLM optimization: memory management, compute efficiency, parallelism strategies, inference throughput optimization Working hands-on in a mainstream ML stack - PyTorch/CUDA on GPUs or JAX/XLA on TPUs Collaborating closely with researchers and building tooling to support research teams; or directly performed research with complex engineering challenges Representative Projects: Building Garcon , a tool that allows researchers to easily instrument LLMs to extract internal activations Designing and optimizing a pipeline to efficiently collect petabytes of transformer activations and shuffle them Profiling and optimizing ML training jobs, including multi-GPU parallelism and memory optimization Building a steered inference system that applies targeted interventions to model internals at scale (conceptually similar to Golden Gate Claude but for safety research) Role Specific Location Policy: This role is based in the San Francisco office; however, we are open to considering exceptional candidates for remote work on a case-by-case 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: $315,000 — $560,000 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. 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.

Vercel353 дн назад

Engineering Manager, CDN

Location: Hybrid - San Francisco About Vercel: Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience. Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide. About the role You’ll lead the team responsible for Vercel’s CDN, proxy, and edge caching systems—the core infrastructure that powers performance, reliability, and cost efficiency for every customer request at Vercel. Your mandate is twofold: Operate critical systems exceptionally (latency, reliability, COGS), and align the team to product and business goals, translating strategy into a clear roadmap. You will set direction, grow people, and create the conditions for high trust, high autonomy, and high output—balancing technical depth with strong people leadership. This is a manager role, not a principal IC role. You’ll code when it’s the highest leverage (e.g., prototypes/unblocking), but your default is delegation, coaching, and alignment. What you need 8+ years building and operating large-scale distributed systems 3+ years managing engineers (managing managers is a plus) Demonstrated success leading CDN/proxy/caching/edge or similar high-throughput, low-latency infrastructure Proven ability to translate business goals into technical strategy and drive cross-org alignment Track record establishing trust, psychological safety, and clear expectations; skilled at timely, candid feedback Strong facilitator in technical conflict—you listen, synthesize, decide, and bring the team with you Competence across HTTP, TLS, caching strategies, load shedding, capacity planning, observability, and cost optimization Bonus if you Have experience with Go, Lua, or Node at the edge; running high-signal hiring pipelines Collaborating with product/PMM on customer-facing narratives. Benefits & Compensation: Competitive compensation package, including equity. Inclusive Healthcare Package. Learn and Grow - we provide mentorship and send you to events that help you build your network and skills. Flexible Time Off. We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed. The San Francisco, CA base pay range for this role is $196,000.00 - $336,000.00. Actual salary will be based on job-related skills, experience, and location. Compensation outside of San Francisco may be adjusted based on employee location. The total compensation package may include benefits, equity-based compensation, and eligibility for a company bonus or variable pay program depending on the role. Your recruiter can share more details during the hiring process. Disclosures: Privacy: Please review our Job Applicant Privacy Policy for more information on how we handle your data. Equal Opportunity: Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don't necessarily check every box on the job description.

Ajax Systems353 дн назад

Business Development Manager

Location: Athens; Thessaloniki Workplace: remote Ajax Systems is an international tech company and the largest manufacturer of security systems in Europe, with over 4.5 million end users and 330K PRO users in more than 180 countries worldwide. The company offers end-to-end solutions for protecting homes and businesses оf any scale. To date, Ajax product portfolio includes 280 devices for intrusion protection, video surveillance, fire and life safety, and comfort and automation. The company employs 5, 000 specialists. We develop local teams because we understand local experts best comprehend market specifics. The company has sales representatives worldwide, including Italy, Spain, Germany, France, the United Kingdom, the USA, Australia, South Africa and other regions. The Global Business Development team is like-minded people who share the ambitious goals of Ajax Systems. The best software combined with powerful hardware has forever changed the perception of security systems for users and industry professionals. Being recognized at the biggest specialized exhibitions such as IFSEC, Expoprotection and Intersec, as well as winning prestigious awards from industry-leading media like PSI magazine and GIT SECURITY, today Ajax is one of the most awarded security systems in Europe. Ajax Systems production includes four factories, two of which are located in Ukraine, one in Turkey and one in Vietnam. At the same time, the company's certification according to the ISO 14001 standard ensures a minimal impact of production on the environment. The selection of components for Ajax device manufacturing is determined by the presence of manufacturer declarations confirming compliance with RoHS requirements. The company emerged against the backdrop of revolution and war. That's why resilience is the cornerstone of the brand's DNA, and the fight against evil by creating the best security and automation devices is Ajax unwavering mission. Responsibilities: Conduct technical seminars, exhibitions, presentations, and webinars on the product (for customers and company employees); Introduce product roadmaps and new features for Ajax Systems distributors, as well as installers; Teach technical staff at Ajax Systems distributors and dealers to increase their knowledge of products and technology; Promote and introduce product solutions according to customer thesis, technical consultation, and support of key clients; Market research and сomparative characteristics of products of the competitors; Develop long-term relationships with key partners of the company; Test product features write technical documentation for new products or solutions, and collaborate with the rest of the team; Analyze customer needs in collaboration with the sales department. Key requirements: 2+ years of experience in the security industry or a similar industry. Sales experience in the Greece region Strong technical knowledge of electronic security systems, including access control, video surveillance, intrusion detection, and fire alarm systems. Proven track record of being involved in the entire sales process, from identifying new business opportunities, developing proposals and presentations, negotiating, and closing deals. Developing and implementing successful sales strategies. Excellent communication and interpersonal skills to build relationships with customers, partners, and industry experts at an executive level. Strong analytical skills to analyze market trends, identify customer needs, and develop effective solutions. Ability to manage and prioritize multiple projects and tasks simultaneously. Knowledge of the latest technologies and trends in electronic security, such as cloud-based solutions, IoT, and AI-based analytics. A strong combination of technical knowledge, sales expertise, and strong communication skills. Conversational English. We offer: Competitive wages - rate and transparent motivation system; A product that sells itself; Business trips; A strong, well-coordinated team of professionals; Opportunity to work with the most recognized security system and develop your career. We are working to ensure that people's lives are calm and the world safe. Let's become a part of the team that creates a smart and useful global product. PS.: Please, send your CV in English

Anthropic354 дн назад

Product Support Specialist

Location: New York City, NY; San Francisco, CA; Seattle, WA 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 As a Product Support Specialist, you’ll be at the front lines of safely delivering AI to the world, providing high-touch support to the businesses building on Claude. You’ll take the cases that need more than a help article: understanding how a customer has built on our platform (their integrations, their authentication and identity setup, their use of the models) and then investigating, diagnosing, and resolving their most complex technical needs. You’ll partner with engineers to get to the bottom of things, and with account teams to keep the customer’s trust while you do. Additionally, you’ll help us identify and close gaps in our team’s technical knowledge, turning what you learn from each case into documentation, tooling, and product feedback so the whole team gets sharper. This is a role for someone who wants their technical depth to matter to real businesses, and who cares as much about how we systematically support customers at scale as about the case in front of them. Responsibilities Provide high-touch support to our most strategic customers, communicating clearly and empathetically with a wide range of user personas, context-switching between guiding an executive through an incident and providing critical product knowledge to an admin in need of help within the same hour Serve as an escalation point for our most complex technical issues: reproducing customer issues, utilizing logs and traces, and providing solutions alongside engineers Troubleshoot SSO, SAML, and OAuth authentication flows, and the integration surface where our products meet a customer’s infrastructure Partner with engineers, teammates, and other internal stakeholders to diagnose and resolve user issues, both individually and at scale Manage on-call tasks for high-urgency user issues with extreme ownership Respond to user support cases with a variety of complexity, from questions from individuals to complex API debugging for large businesses Become an expert in all Anthropic products, and delight in the hunt when something doesn’t behave as expected Uplevel our team’s technical knowledge by scoping gaps, working with cross-functional partners to deeply understand relevant nuances, and building resources that grow with our products Suggest and drive improvements to increase user satisfaction through support processes, as well as own initiatives that increase efficiency and drive down contact rates Operate in ambiguity, making informed decisions even in never-before-seen situations Prioritize critically and comfortably adapt to an ever-evolving product landscape Minimum qualifications Several years of technical product support experience at a high-growth tech company, including hands-on API debugging, ideally on a tier-two, escalated, or priority support team Experience supporting enterprise or strategic accounts: exec-level communication, escalation management, and working shoulder-to-shoulder with account and engineering teams Fluency with APIs and technical SaaS products; you read technical docs with ease and can reason about someone else’s architecture from a handful of clues Experience troubleshooting SSO, SAML, and OAuth authentication flows A demonstrated ability to thrive in fast-paced, reactive situations while hitting core support metrics (CSAT, SLA, and the like) Strong user empathy and mastery of the support case lifecycle; you read between the lines, get to the heart of the need, and resolve it fast Crisp but kind written communication and a deep care for detail Persistence and curiosity: you’re energized by tracking down a bug, and more energized by fixing it for every similar user going forward A deep sense of ownership, genuine interest in Anthropic’s products, and enthusiasm for helping build the team Preferred qualifications While not required, we're particularly excited about candidates with one or more of these specializations: Comfort with command line interfaces and basic scripting (Bash, Python, JavaScript) SQL proficiency for querying logs and investigating issues Understanding of LLM capabilities, practical applications, and current limitations Familiarity with enterprise networking concepts and IT infrastructure Familiarity with Git workflows and version control concepts Experience supporting government or public sector customers, including compliance requirements and security frameworks Background in team lead roles or managing contract/vendor support teams We’re hiring across a range of experience levels to build depth in both technical capabilities and enterprise support. 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: $131,040 — $210,000 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. 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.

ProgressSoft355 дн назад

Customer Success Specialist

Location: Amman, Jordan We are looking to hire a Mid-Level Customer Success Specialist to serve as the primary advocate for our clients, ensuring their needs are met and they gain maximum value from our solutions. You will drive product adoption, maintain strong customer relationships, and act as the voice of the customer internally. Your expertise in financial banking and payment solutions will support account growth, renewals, and upsell opportunities. Responsibilities Build and maintain strong relationships with assigned clients. Develop and execute customer success plans to drive product adoption and satisfaction. Design and implement a standardized framework for collecting and acting on client feedback to continuously refine the customer experience. Monitor usage metrics and proactively address risks to retention or expansion. Serve as the primary point of contact for addressing client feedback and potential service gaps. Collaborate with Product, Engineering, Support, Business Development, and Marketing teams to resolve issues, deliver enhancements, and support renewals. Conduct regular business reviews and strategic check-ins with clients, in alignment with Business Development members. Advocate for customer needs and feedback in internal roadmap discussions. Identify reference customers, gather testimonials, and support customer engagement activities such as webinars or user groups. Apply empathy, active listening, and relationship-building skills to foster long-term partnerships. Requirements 3–5 years of experience in customer success, account management, or client services. Prior experience in a software company serving financial institutions (payments, core banking, digital banking, etc.). Strong understanding of banking operations, payment systems, and regulatory environments. Excellent communication and presentation skills, especially with senior stakeholders. Ability to manage multiple accounts and prioritize effectively. Problem-solving mindset with a proactive approach to customer engagement. Preferred Qualifications Experience working with central banks or large-scale financial institutions. Familiarity with ISO payments industry standards. Technical aptitude to understand APIs, integrations, and software workflows. Experience with CRM systems and analytics dashboards. Familiarity with customer success metrics such as NPS, CSAT, retention rate, and product adoption indicators. Exposure to customer health scoring and lifecycle planning.

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Anthropic355 дн назад

Manager– Growth Sales (AI-Native)

Clarity356 дн назад

GenAI Engineer

Location: London Workplace: OnSite About Clarity We’re pioneering Agentic AI — systems that don’t just respond, but reason, act, and adapt autonomously in complex workflows. This is about crafting AI Agent Experiences — designing agents that collaborate seamlessly with humans, learn from context, and make every customer interaction faster, smarter, and more empathetic. You’ll own the technical vision and turn requirements into a live, reliable product used by brands like Grubhub, Booking.com http://Booking.com, Dropbox, Uber, Careem, and Fubo. You’ll collaborate directly with engineers, other tech leads, directors, and the CTO to evolve ambitious prototypes into a rock‑solid, scalable platform What you’ll actually do 50% Build — design & ship - Agentic AI for CX: Real‑time assistants that listen to calls/chats, retrieve from customer KBs, and draft responses with human‑in‑the‑loop controls. - Structured extraction: Schema‑driven pipelines over unstructured text (and other modalities) using retrieval, tool‑use, and robust LLM prompting. - Hybrid anomaly detection: Blend classical time‑series methods (e.g., decomposition, change‑point, forecasting) with LLM‑aware, contextful detectors for seasonality, spikes, step‑changes, and drift. - Novelty discovery: Embedding‑based clustering and drift, topic surfacing, LLM summarization of emerging themes with deduplication and evidence links. - Alerting & scoring: Severity/impact ranking, de‑noising, suppression/cool‑downs, routing, and feedback loops. 25% Architect & scale - Own reliability, latency, and cost. Design online/offline eval harnesses, canaries, and SLAs; operate GPUs/accelerators where needed. - Stand up and harden RAG pipelines (indexing, retrieval policies, grounding, guardrails) and agent frameworks. - Take basic infra ownership on GCP (or AWS/Azure): networking, autoscaling, CI/CD, IaC, observability, and cost tuning. - Participate in on‑call for your area and drive root‑cause analysis with crisp follow‑ups. 15% Collaborate - Pair with back‑end & front‑end to wire extractors/detectors and agents into ticketing, voice, and analytics stacks (APIs, webhooks, real‑time streams). - Partner with PMs/CX to evolve taxonomies, schemas, and guardrails; translate business problems into shipped ML features. 10% Align & showcase - Gather requirements from CX and product leads, demo new capabilities to execs & customers, and document impact with precision/recall, alert quality, latency, and cost metrics. What makes you a great fit - Startup hacker mindset: You self‑start from zero, respect no silos, and carry work from prototype to production. 🛠️ - AI‑native dev tools are your daily drivers: Cursor, v0, Claude Code (or similar). - 7–10 years building production ML/back‑end systems; 2+ years leading while coding. - Expert Python; strong back‑end chops (e.g., FastAPI, gRPC, Postgres, pub/sub/streams). - Agents & RAG: Fluency with at least one agent framework (ADK preferred). Proven track record shipping AI agents and building RAG pipelines. - LLM + DS depth: Prompting/tooling, retrieval design, LLM evals; hands‑on with time‑series analysis (forecasting, change‑point, drift). - Cloud & ops: Basic infra ownership on GCP (or AWS/Azure): networking, autoscaling, CI/CD, IaC, observability, and cost control. - Communication: You explain results clearly, align stakeholders, and write crisp docs. Bonus points - DevOps wizardry; GPU/accelerator experience. - Multimodal pipelines (text + voice + screenshots). - Prior experience in contact center/CX analytics or novelty/anomaly systems. - Founder or founding engineer experience

Creatio356 дн назад

Enterprise Account Executive (Sydney)

Location: Sydney Workplace: onsite Creatio is an AI CRM and workflow platform where people and AI agents work together — with no limits on users, agents, or scale. We help midsize and large organizations run customer workflows in the AI era. Headquartered in Boston, MA, with a global team and a large ecosystem of partners, Creatio serves thousands of customers in over 100 countries and automates tens of millions of workflows daily. Genuine care for our clients and partners is at the heart of our DNA. We’re proud to be recognized by top industry analysts as a Leader and Strong Performer in multiple Gartner and Forrester reports. In 2025, Creatio was named to Inc.’s Best Workplaces list, recognizing our commitment to employee wellbeing and a strong workplace culture.Who We’re Looking For:We are seeking for an Enterprise Account Executive (Sydney) with a strong background in enterprise SaaS to drive strategic growth across top-tier organizations. As part of our regional team, you’ll be responsible for generating new business opportunities, managing the full sales cycle, and working closely with executive stakeholders. While you'll be supported by a collaborative global team, success in this role requires a self-starter mindset and strong ownership of your pipeline. The role is based in Sydney, Australia.Responsibilities:Drive new customer acquisition and meet or exceed revenue targets.Build and maintain a healthy sales pipeline through proactive outreach and networking.Manage the full enterprise sales cycle, including prospecting, solution presentation, negotiation, and closing.Build strong relationships with VP and C-level stakeholders across business and IT functions.Deliver tailored demos and sales presentations to address specific customer needs.Maintain clear forecasting and reporting through CRM systems.Identify and nurture opportunities within existing accounts for expansion and growth.Requirements:Minimum 5 years of experience in enterprise SaaS sales with a strong individual quota track record.Proven success managing complex sales cycles and engaging executive-level buyers.Excellent communication, relationship-building, and negotiation skills.Strong understanding of enterprise sales methodologies and processes.Experience with CRM or BPM platforms would be a plus.Based in Sydney or open to regular in-person collaboration when needed.What you should expect from us:Growth & Development: Clear career paths, mentorship opportunities, and access to continuous learning to help you reach your full potential.Flexibility & Well-Being: We provide flexible work arrangements and initiatives that empower you to manage your schedule effectively, stay productive, and thrive both personally and professionally.Recognition & Impact: A culture that celebrates achievements, values your ideas, and empowers you to make real contributions from day one.Innovative Culture: Be part of a company that embraces new ideas, modern technologies, and bold thinking to stay ahead of the curve.Benefits & Rewards Package: We provide competitive compensation and benefits designed to support you and your family. Our rewards approach goes beyond salary, recognizing your contributions and commitment. The exact package may vary depending on your country of residence and employment type. Responsibilities: Drive new customer acquisition and meet or exceed revenue targets. Build and maintain a healthy sales pipeline through proactive outreach and networking. Manage the full enterprise sales cycle, including prospecting, solution presentation, negotiation, and closing. Build strong relationships with VP and C-level stakeholders across business and IT functions. Deliver tailored demos and sales presentations to address specific customer needs. Maintain clear forecasting and reporting through CRM systems. Identify and nurture opportunities within existing accounts for expansion and growth. Requirements: Minimum 5 years of experience in enterprise SaaS sales with a strong individual quota track record. Proven success managing complex sales cycles and engaging executive-level buyers. Excellent communication, relationship-building, and negotiation skills. Strong understanding of enterprise sales methodologies and processes. Experience with CRM or BPM platforms would be a plus. Based in Sydney or open to regular in-person collaboration when needed. What you should expect from us: Growth & Development: Clear career paths, mentorship opportunities, and access to continuous learning to help you reach your full potential. Flexibility & Well-Being: We provide flexible work arrangements and initiatives that empower you to manage your schedule effectively, stay productive, and thrive both personally and professionally. Recognition & Impact: A culture that celebrates achievements, values your ideas, and empowers you to make real contributions from day one. Innovative Culture: Be part of a company that embraces new ideas, modern technologies, and bold thinking to stay ahead of the curve. Benefits & Rewards Package: We provide competitive compensation and benefits designed to support you and your family. Our rewards approach goes beyond salary, recognizing your contributions and commitment. The exact package may vary depending on your country of residence and employment type.

Anthropic357 дн назад

Pre-training Data Infrastructure Engineer

Intercom358 дн назад

Staff Product Engineer

Location: Berlin, Germany Fin , now part of Salesforce, is on a mission to help businesses provide perfect customer experiences. Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey, from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk, giving modern support teams one single system. Together with Salesforce, the #1 AI CRM, where humans with agents drive customer success, we're building the future of customer experience. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword, it's a way of life. The world of work as we know it is changing, and we're looking for Trailblazers who are passionate about bettering business and the world through AI. Ready to level up your career at the company leading workforce transformation in the agentic era? You're in the right place. Agentforce is the future of AI, and you are the future of Salesforce. What's the opportunity? As a Staff Engineer, you will be a leader within the team and a strong contributor to the engineering organization. You will build both back-end and front-end systems, and work closely with designers, product managers, researchers, and data analysts. You will coach and mentor other engineers and partner closely with the Engineering Manager to develop the team and to devise technical strategy. Learn more about our engineering culture at intercom.engineering What will I be doing? As an experienced engineer you will: Contribute to our technical architecture as we grow. We scale to service requests from all our customers’ customers. We’re growing and so are they. Care about agility as much you care for scalability and availability. Continuous deployment keeps us focused on incremental releases. Even our biggest technical achievements roll out piece by piece, feature flagged out of sight. Contribute to all phases of software development including ideation, prototyping, design and implementation. This role has a mix of both hands-on development as well as lead/architecture work. Build using the best tools in the industry. We invest heavily in AI-powered developer tools that remove friction and help you focus on solving meaningful problems. Play an active role in hiring, mentoring and career development of other engineers Raise the bar for technical standards, performance, reliability, and operational excellence What skills do I need? Ideally, you’ve built an exciting SaaS product in your previous roles and loved the satisfaction that comes with knowing that people around the world are using something you’ve created Significant, demonstrated impact that your work has had on the product and/or the teams Deep knowledge of a high-level programming language (for example, Ruby, Python, Perl etc.) but it doesn’t need to be a language that we use here! Great people are effective and learn what we use quickly (or introduce us to better ways of working) You will have experience with Distributed systems 2+ years of experience as the primary technical leader for a team Experience collaborating directly with product teams and designers, and a proven track record of delivering value to customers or users. Engineers at Fin are pragmatists who work closely with others on cross-disciplinary teams and have a strong sense of product strategy. #LI-Hybrid Unleash Your Potential When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world. In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. At Fin, we want to give people what they need to do the best work of their careers. Our benefits and programs are designed to support your health and wellbeing, your family, your time away from work, and your financial future. Offerings vary by location in line with local practices and requirements. Learn more about working at Fin and the benefits we offer at fin.ai/careers . Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records. Policies Fin has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week. We have a radically open and accepting culture at Fin. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our core values . Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.

Figma359 дн назад

Software Engineer - Full Stack

Location: San Francisco, CA • New York, NY • United States Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! As a Full Stack Engineer, you’ll have the opportunity to build both the products and the platforms that empower millions of users—from startups to Fortune 500 companies—to create and collaborate in real time. Whether you’re designing core features, improving developer workflows, scaling enterprise infrastructure, or launching entirely new products, your work will directly shape the future of how teams bring ideas to life. You’ll take on complex technical challenges across the stack, building intuitive user experiences, optimizing performance in real-time collaborative systems, and designing secure, reliable, and scalable systems to support Figma’s rapid growth and global expansion. Our engineers are highly cross-functional, partnering closely with Product, Design, Research, and Data to deliver best-in-class experiences. If you’re excited to work across the stack, push the boundaries of product development, and help scale the systems that power Figma, we’d love for you to join us. This opportunity applies to openings at varying seniority levels across our teams, including but not limited to Figma Editor, FigJam, Figma Slides, Figma Sites, Figma Buzz, Growth & Monetization, Internal Tools, Frontend Platform, and our cross-product Foundations team. We’ll discuss more specifics about open roles during the interview process. This is a full-time role that can be held from one of our US hubs or remotely in the United States. What you’ll do at Figma: Design, build, and ship high-quality features across the stack, from polished front-end experiences to scalable back-end systems Contribute to both new product development and improvements to established products, balancing user experience craft with performance and architecture quality Own projects end-to-end — ideation, technical design, implementation, testing, launch, and iteration Collaborate with cross-functional partners in Product, Design, Research, and Data to shape product direction and strategy Operate, monitor, and continuously improve the systems you build, with a strong focus on reliability, security, and scalability Mentor teammates, contribute to team culture, and share knowledge through code reviews, design critiques, and pairing We’d love to hear from you if you have: Proven experience in shipping and maintaining full-stack applications in production Strong proficiency in modern front-end frameworks (e.g., React/TypeScript) and back-end technologies (e.g., Ruby, Python, Go, C++, PostgreSQL) A product mindset, with the ability to translate user needs into scalable technical solutions Excellent collaboration and communication skills, with experience working effectively across cross-functional teams Passion for engineering craft and building polished, maintainable, and scalable systems Experience using AI-assisted development tools (e.g., GitHub Copilot, ChatGPT, Claude) to write, debug, and optimize code While not required, it’s an added plus if you also have: Familiarity with C++ and WebAssembly in user-facing applications Background in areas such as growth engineering, frontend platform work (build systems, web performance, shared UI/component infrastructure), developer tooling, billing and payments infrastructure, or extensibility platforms (plugins, APIs, widgets) Exposure to technologies like Stripe, Salesforce, Snowflake, SCIM, SAML, or experimentation and observability tooling Experience leading large-scale projects or launching 0→1 products, with a passion for mentoring peers and shaping engineering culture At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. Pay Transparency Disclosure Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), market demands, and specific work location. Figma offers equity to employees, as well as a competitive package of additional benefits, including health, dental, and vision coverage; retirement benefits with company contributions; parental leave and reproductive or family planning support; mental health and wellness benefits; and paid time off. Figma provides paid sick leave, holidays, and other leave benefits in compliance with applicable federal, state, and local laws, including the requirements of the Washington Minimum Wage Act and related regulations. Exempt employees are eligible for employer‑provided paid flexible PTO in addition to flexible paid sick leave. PTO is subject to manager approval. Additional benefits may include company recharge days, cell phone and home internet reimbursements, and a number of lifestyle spending accounts. Figma also offers sales incentive compensation for most sales roles and an annual bonus plan for eligible non-sales roles. All compensation and benefits are subject to applicable plan terms and may be modified by Figma at any time, consistent with applicable law. Annual Base Salary Range: $153,000 — $376,000 USD At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an equal opportunity workplace - we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status , or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to accommodations-ext@figma.com . These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities. Examples of accommodations include but are not limited to: Holding interviews in an accessible location Enabling closed captioning on video conferencing Ensuring all written communication be compatible with screen readers Changing the mode or format of interviews To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding. By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with Figma's Candidate Privacy Notice . Application limits: To help candidates focus on the opportunities most relevant to their skills and experience, Figma limits the number and frequency of applications. These limits apply to all roles: Candidates may submit up to 5 applications during any rolling 30-day period. Candidates may not reapply to the same role while an application is active or within 90 days of receiving a rejection. Once the applicable days has passed, candidates are welcome to apply again.

Figma359 дн назад

Software Engineer - AI Platforms

Location: San Francisco, CA • New York, NY • United States Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! AI Platform teams build the core frameworks, abstractions, and systems that support AI features across Figma. We create new capabilities that AI product teams can build on, while collaborating with teams from around the company to improve our performance, reliability, and technical quality. We’re looking for strong infrastructure and platform-minded engineers to contribute to our agent infrastructure, context retrieval & ranking platform, and core AI services, in order to accelerate our most critical company-wide AI initiatives. Here are just a few areas our platform teams work on: Evals for design : Building evaluation frameworks for design generation quality that are used across every Figma AI feature. Agentic search: Providing relevant context from throughout the Figma ecosystem to agents via search tools, in order to improve agent quality. Figma MCP : Making our MCP server faster, more reliable, and easier for internal & external engineers alike to develop on. Agent infrastructure : Iterating on the sandboxes, harnesses, and tools leveraged by the agents that power Figma Make and the Figma Design Agent. Preview & publishing platforms : Creating the shared platforms for building, previewing, and publishing code written by agents via Figma Make. This is a full time role that can be held from one of our US hubs or remotely in the United States. What you’ll do at Figma: Support end-to-end AI feature development by designing, building, and maintaining systems that are scalable, reliable, and performant. Collaborate with product, research, and infrastructure engineers working across AI. Help shape our platform strategy, roadmaps, and engineering best practices throughout the organization. Debug and resolve complex production issues that span services and layers of the stack. Mentor engineers and foster a culture of collaboration, inclusivity, and technical excellence. We'd love to hear from you if you have: 5+ years of Software Engineering experience, especially in backend or infrastructure engineering. 3+ years of experience in one or more of: AI, search infrastructure, or developer platforms. Proficiency in TypeScript, Python, or Ruby. Strong system design skills and a track record of architecting resilient production systems. Excellent communication skills, with experience collaborating across teams and mentoring others. While not required, It’s an added plus if you also have: Prior experience in building AI infrastructure at scale, whether that be model training or serving platforms. Experience evolving large-scale, shared developer platforms to improve reliability and developer velocity. A proven track record of leading technical strategy and complex, multi-team projects. At Figma, one of our values is Grow As You Go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. Pay Transparency Disclosure Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), market demands, and specific work location. Figma offers equity to employees, as well as a competitive package of additional benefits, including health, dental, and vision coverage; retirement benefits with company contributions; parental leave and reproductive or family planning support; mental health and wellness benefits; and paid time off. Figma provides paid sick leave, holidays, and other leave benefits in compliance with applicable federal, state, and local laws, including the requirements of the Washington Minimum Wage Act and related regulations. Exempt employees are eligible for employer‑provided paid flexible PTO in addition to flexible paid sick leave. PTO is subject to manager approval. Additional benefits may include company recharge days, cell phone and home internet reimbursements, and a number of lifestyle spending accounts. Figma also offers sales incentive compensation for most sales roles and an annual bonus plan for eligible non-sales roles. All compensation and benefits are subject to applicable plan terms and may be modified by Figma at any time, consistent with applicable law. Annual Base Salary Range: $153,000 — $376,000 USD At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an equal opportunity workplace - we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status , or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to accommodations-ext@figma.com . These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities. Examples of accommodations include but are not limited to: Holding interviews in an accessible location Enabling closed captioning on video conferencing Ensuring all written communication be compatible with screen readers Changing the mode or format of interviews To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding. By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with Figma's Candidate Privacy Notice . Application limits: To help candidates focus on the opportunities most relevant to their skills and experience, Figma limits the number and frequency of applications. These limits apply to all roles: Candidates may submit up to 5 applications during any rolling 30-day period. Candidates may not reapply to the same role while an application is active or within 90 days of receiving a rejection. Once the applicable days has passed, candidates are welcome to apply again.

Dexis360 дн назад

Assessment, Monitoring, and Evaluation (AM&E) Analyst, DOS

Location: Washington, District of Columbia, United States Dexis is a dynamic professional services firm dedicated to partnering with government and community leaders both in the U.S. and internationally to achieve critical social outcomes in a rapidly changing world. At Dexis, you will experience a corporate culture of inclusiveness, respect, fairness, and trust. You will be given the means and mentorship needed to succeed, and your creativity will be rewarded. About the Position Dexis is seeking an Assessment, Monitoring, and Evaluation (AM&E) Analyst to support anticipated programming with the Department of State (DOS). This opportunity will provide policy direction and oversight in the areas of international security, security assistance, military operations, and defense strategy and plans, specifically focused on Foreign Military Financing (FMF) and International Military Education and Training (IMET) military grant assistance programs. Candidates must have an active Secret Clearance. This position is contingent upon contract award. Responsibilities Assess, monitor, and evaluate FMF and IMET funded programs on an ongoing basis. Research and analyze program data to identify program trends. Identify mechanisms to collect program data. Develop country reports, trip reports, annual assessments, and deep dive analyses. Coordinate and collaborate with the appropriate stakeholders within the State Department and Department of Defense. Conduct all monitoring-related tasks for FMF and IMET programs, including data collection, designing monitoring plans, and developing evaluations and assessments. Contribute substantively to the design of and conduct field testing of the evaluation methodology, participatory data collection methods and protocols, data verification techniques, and other analytical tasks. Qualifications A Bachelor’s degree from an accredited university and 8 years of relevant experience, or a Master’s degree and 5 years of relevant experience. At least three (3) years of foreign or security assistance initiative experience in designing or conducting large-scale AME analytic activities for international programs. Active Secret Security Clearance. Excellent communication skills, including writing and presenting findings and analyses regarding the impact of security assistance. Ability to provide strong analysis and critical thinking to complex matters of security assistance/ security cooperation, military operations, and international security. Experience related to: Developing program designs and monitoring plans Developing data collection plans to guide research efforts Preparing written analytical reports Coordinating and collaborating with multiple stakeholders in different organizations and departments Organized, detail-oriented, and passionate about international security cooperation. Ability to develop and implement processes and procedures to increase team effectiveness. Ability to multi-task, respond to quick turn-around requests, and prioritize tasks. Flexible and adaptable to change, including changes in processes, requirements, and priorities. Have a current passport and able to travel nationally/ internationally to participate in conferences, oversight visits, and occasional exercises. Proficiency in Microsoft Office Programs (Excel, Word, PowerPoint, SharePoint) Preferred Qualifications Experience in the military or supporting military security cooperation/ security assistance programs, and/or experience working with foreign militaries. Experience with international security advising or related military advising missions. Regional experience with European militaries or security assistance programs. Creative problem solver with a strong statistical background. Experience with Tableau and NVivo is a plus. Below is the pay range aligned with this position. When developing a range, Dexis evaluates compensation holistically, triangulating between external market research , our budget for the position, and internal equity to arrive at a figure that is fair and competitive. Offers within this range will be based on an individual candidate's qualification, relevant education and experience, skills, performance, and organizational needs. Dexis pay range for this role: $100,000 — $150,000 USD Benefits Dexis offers benefits to support employees’ health, financial security, and well-being. The benefits outlined below are for full-time, US-based positions only. These benefits include: Medical and prescription drug coverage: A choice of three UnitedHealthcare medical plans, with coverage options for employees and eligible dependents. Dental insurance: Dental coverage for employees and eligible dependents, including preventive, basic, major, and orthodontic services, subject to plan limits. Company-paid vision insurance: Vision coverage for employees and eligible dependents, with premiums paid in full by Dexis. Employer-funded health reimbursement arrangement (HRA): Employees who enroll in the Silver HRA medical plan receive an employer-funded HRA to help pay eligible in-network deductible expenses. Company-paid life and disability insurance: Basic life and accidental death and dismemberment (AD&D) insurance, plus short-term and long-term disability coverage. Optional supplemental insurance: Voluntary supplemental life and AD&D insurance options, including life insurance options for eligible dependents. Employee Assistance Program (EAP): Company-paid access to confidential counseling and legal and financial support resources for employees and their families. Health and wellness resources: Virtual care, behavioral health resources, and wellness programs available through the medical plan. Benefits assistance: Personalized support with benefit enrollment, coverage questions, claims, and finding providers through the Employee Care Center. Participation, coverage, and employee contributions are subject to applicable benefit plan terms and eligibility requirements. Dexis is on a mission to help solve today’s most pressing global political, social, and economic challenges and create a world where all people are safe and prosperous. As a Dexis employee, you will be challenged, empowered, and mentored. Our motto is “find a way or make a way” — that’s how Dexis goes “all in.” How will you? If you are passionate about this opportunity, apply now! Only those applicants who meet the above criteria will be contacted for interview. Dexis is an Equal Opportunity Employer, and does not discriminate on the basis of race, color, sex, national origin, religion, pregnancy, disability, age, genetic information, military service, veteran status, ethnicity, citizenship, sexual orientation, gender identity, marital status, childbirth and related medical conditions, including lactation, or any other protected class under applicable law.

Dexis360 дн назад

Deputy Team Lead (AM&E Specialist), DOS

Location: Washington, District of Columbia, United States Dexis is a dynamic professional services firm dedicated to partnering with government and community leaders both in the U.S. and internationally to achieve critical social outcomes in a rapidly changing world. At Dexis, you will experience a corporate culture of inclusiveness, respect, fairness, and trust. You will be given the means and mentorship needed to succeed, and your creativity will be rewarded. About the Position Dexis is recruiting a Deputy Team Lead to support anticipated programming with the Department of State (DOS). This opportunity will provide policy direction and oversight in the areas of international security, security assistance, military operations, and defense strategy and plans, specifically focused on Foreign Military Financing (FMF) and International Military Education and Training (IMET) military grant assistance programs. Candidates must have an active Secret Clearance. This position is contingent upon contract award. Responsibilities Support the Team Lead (TL) in providing overall program management, including strategic vision and team leadership; developing and implementing work plans; liaising with State Department and Department of Defense FMF/IMET stakeholders; interviewing foreign government officials; identifying and mitigating program risks; and ensuring achievement of program results and objectives. Provide technical support and oversight to knowledge management, monitoring, evaluation, capacity building, learning, and other project activities and assist the TL in monitoring the work of staff. Conduct research and analyze program data to identify program trends. Develop country reports, annual assessment, and deep dive analyses. Manage all performance monitoring-related tasks for FMF and IMET, including supervision of data collection, hands-on generation of new project data, and participation in evaluations and assessments. Contribute substantively to the design and development of the evaluation methodology, participatory data collection methods and protocols, data verification techniques, development of evaluation products, and other analytical tasks. Qualifications A Master’s degree or higher in a relevant discipline, such as international relations, defense and security policy, military studies, trade policy, public policy, public administration. At least five (5) years of relevant experience. At least three (3) years of foreign or security assistance initiative experience in designing or conducting large-scale AME analytic activities for international programs. Active Secret Security Clearance. Excellent leadership and interpersonal skills and ability to work with many disparate stakeholders with competing interests. Strong analytical and critical thinking skills. Excellent communication skills to include technical writing and editing, oral communication, interpersonal and organization skills. Experience related to: Developing data collection plans to guide research efforts Preparing written analytical reports Coordinating and collaborating with multiple stakeholders Awareness of monitoring and evaluation policies of the Department of State. Experience and understanding of security assistance and security cooperation policies, activities, processes. Self-motivated, detail oriented, and highly organized. Ability to develop and implement processes and procedures to increase team effectiveness. Ability to multi-task, respond to quick turn-around requests, and prioritize tasks. Flexible and readily adaptable to change, including changes in processes, requirements, and priorities. Proficiency in Microsoft Office Programs (Excel, Word, PowerPoint, SharePoint). Below is the pay range aligned with this position. When developing a range, Dexis evaluates compensation holistically, triangulating between external market research , our budget for the position, and internal equity to arrive at a figure that is fair and competitive. Offers within this range will be based on an individual candidate's qualification, relevant education and experience, skills, performance, and organizational needs. Dexis pay range for this role: $115,000 — $150,000 USD Benefits Dexis offers benefits to support employees’ health, financial security, and well-being. The benefits outlined below are for full-time, US-based positions only. These benefits include: Medical and prescription drug coverage: A choice of three UnitedHealthcare medical plans, with coverage options for employees and eligible dependents. Dental insurance: Dental coverage for employees and eligible dependents, including preventive, basic, major, and orthodontic services, subject to plan limits. Company-paid vision insurance: Vision coverage for employees and eligible dependents, with premiums paid in full by Dexis. Employer-funded health reimbursement arrangement (HRA): Employees who enroll in the Silver HRA medical plan receive an employer-funded HRA to help pay eligible in-network deductible expenses. Company-paid life and disability insurance: Basic life and accidental death and dismemberment (AD&D) insurance, plus short-term and long-term disability coverage. Optional supplemental insurance: Voluntary supplemental life and AD&D insurance options, including life insurance options for eligible dependents. Employee Assistance Program (EAP): Company-paid access to confidential counseling and legal and financial support resources for employees and their families. Health and wellness resources: Virtual care, behavioral health resources, and wellness programs available through the medical plan. Benefits assistance: Personalized support with benefit enrollment, coverage questions, claims, and finding providers through the Employee Care Center. Participation, coverage, and employee contributions are subject to applicable benefit plan terms and eligibility requirements. Dexis is on a mission to help solve today’s most pressing global political, social, and economic challenges and create a world where all people are safe and prosperous. As a Dexis employee, you will be challenged, empowered, and mentored. Our motto is “find a way or make a way” — that’s how Dexis goes “all in.” How will you? If you are passionate about this opportunity, apply now! Only those applicants who meet the above criteria will be contacted for interview. Dexis is an Equal Opportunity Employer, and does not discriminate on the basis of race, color, sex, national origin, religion, pregnancy, disability, age, genetic information, military service, veteran status, ethnicity, citizenship, sexual orientation, gender identity, marital status, childbirth and related medical conditions, including lactation, or any other protected class under applicable law.

Dexis360 дн назад

Team Lead (Senior AM&E Specialist), DOS

Location: Washington, District of Columbia, United States Dexis is a dynamic professional services firm dedicated to partnering with government and community leaders both in the U.S. and internationally to achieve critical social outcomes in a rapidly changing world. At Dexis, you will experience a corporate culture of inclusiveness, respect, fairness, and trust. You will be given the means and mentorship needed to succeed, and your creativity will be rewarded. About the Position Dexis is recruiting a Team Lead to support anticipated programming with the Department of State (DOS). This opportunity will provide policy direction and oversight in the areas of international security, security assistance, military operations, and defense strategy and plans, specifically focused on Foreign Military Financing (FMF) and International Military Education and Training (IMET) military grant assistance programs. Candidates must have an Active Secret Clearance. This position is contingent upon contract award. Responsibilities Head the DOS office’s AM&E Unit, oversee all staff on this contract, and provide technical direction and overall guidance for all activities and deliverables under this contract. Supervise the work of all staff and be responsible for successful completion and delivery of all products. Serve as the primary administrative contact between DOS and all other team members regarding M&E product development and progress on project deliverables. Advise the Deputy Team Lead (DTL) and Assessment, Monitoring, and Evaluation (AM&E) Analysts on how best to work with Department of State stakeholders and the wider Dexis team to design and develop M&E products consistent with the Foundations for Evidence-Based Decision-making Act, the Foreign Assistance Transparency and Accountability Act (FATAA), and Department of State policies and definitions. Attend regular meetings with the client, prepare required reports on project progress, and ensure consistency of staffing and levels of effort. Provide technical oversight to knowledge management, monitoring, evaluation, capacity building, learning, and other project activities. Conduct all requirements of the Deputy Team Lead and senior, mid-level, and junior M&E Specialists as needed. Manage relationships with DOS stakeholders, oversee the overall reporting cycle and data collection, and ensure high quality of all analyses and reports. Qualifications Secret Clearance or ability to obtain one before onboarding. Master’s degree and at least ten (10) years of relevant professional experience. At least five (5) years of foreign or security assistance initiative experience in designing or conducting large-scale AME analytic activities for international programs. At least three (3) years of experience leading (e.g., Lead or Deputy) an M&E team. At least six (6) years of professional M&E experience. At least eight (8) years of experience in multi-tasking complex projects, requiring interpersonal and customer service, writing, analytic, problem-solving and computer skills. Excellent written and oral communications skills, including the ability to synthesize and distill complex information for executive consumption. Demonstrated research, analytical and problem-solving capabilities. Demonstrated ability to manage subordinates, including the ability to assign work, monitor progress, and apply supportive course corrections, while creating a positive work environment. Demonstrated proficiency with Microsoft software (e.g. Word, Power Point, Teams, SharePoint), including advanced experience in Microsoft Excel. Demonstrated fluency of English speaking and writing, including experience in the writing and briefing styles of the Department of State. Below is the pay range aligned with this position. When developing a range, Dexis evaluates compensation holistically, triangulating between external market research , our budget for the position, and internal equity to arrive at a figure that is fair and competitive. Offers within this range will be based on an individual candidate's qualification, relevant education and experience, skills, performance, and organizational needs. Dexis pay range for this role: $145,000 — $190,000 USD Benefits Dexis offers benefits to support employees’ health, financial security, and well-being. The benefits outlined below are for full-time, US-based positions only. These benefits include: Medical and prescription drug coverage: A choice of three UnitedHealthcare medical plans, with coverage options for employees and eligible dependents. Dental insurance: Dental coverage for employees and eligible dependents, including preventive, basic, major, and orthodontic services, subject to plan limits. Company-paid vision insurance: Vision coverage for employees and eligible dependents, with premiums paid in full by Dexis. Employer-funded health reimbursement arrangement (HRA): Employees who enroll in the Silver HRA medical plan receive an employer-funded HRA to help pay eligible in-network deductible expenses. Company-paid life and disability insurance: Basic life and accidental death and dismemberment (AD&D) insurance, plus short-term and long-term disability coverage. Optional supplemental insurance: Voluntary supplemental life and AD&D insurance options, including life insurance options for eligible dependents. Employee Assistance Program (EAP): Company-paid access to confidential counseling and legal and financial support resources for employees and their families. Health and wellness resources: Virtual care, behavioral health resources, and wellness programs available through the medical plan. Benefits assistance: Personalized support with benefit enrollment, coverage questions, claims, and finding providers through the Employee Care Center. Participation, coverage, and employee contributions are subject to applicable benefit plan terms and eligibility requirements. Dexis is on a mission to help solve today’s most pressing global political, social, and economic challenges and create a world where all people are safe and prosperous. As a Dexis employee, you will be challenged, empowered, and mentored. Our motto is “find a way or make a way” — that’s how Dexis goes “all in.” How will you? If you are passionate about this opportunity, apply now! Only those applicants who meet the above criteria will be contacted for interview. Dexis is an Equal Opportunity Employer, and does not discriminate on the basis of race, color, sex, national origin, religion, pregnancy, disability, age, genetic information, military service, veteran status, ethnicity, citizenship, sexual orientation, gender identity, marital status, childbirth and related medical conditions, including lactation, or any other protected class under applicable law.

ClickHouse361 дн назад

Principal Product Manager - ClickHouse Cloud

Location: The Netherlands; Portugal; United Kingdom; Spain NOTE: this position can be remote anywhere within the Netherlands. As the Principal Product Manager for ClickHouse Cloud, you will be responsible for leading the development and delivery of the product working closely with engineering, customers, and stakeholders. What you will do: - Define and drive the product roadmap for ClickHouse Cloud, with a focus on cloud-native database capabilities such as multi-region replication, distributed query execution, fault tolerance, storage tiering, and schema evolution. - Collaborate with engineering to prioritize and deliver improvements to the core database engine, storage layer, and query optimizer, ensuring the Cloud offering keeps pace with open-source and enterprise use cases. - Engage directly with customers, gathering insights through interactions, feedback, and market research to guide product decisions. - Work alongside design, marketing, operations, and sales teams to support feature launches, contribute to blog posts, and help shape product positioning and messaging. - Define and track key performance indicators (KPIs) to measure product success. - Act as the primary point of contact for all product-related communications, effectively managing expectations and keeping stakeholders informed. About You: - Minimum 8+ years of product management experience with a strong background in cloud-based SaaS products. Deep familiarity with database systems, distributed systems, or real-time analytics platforms is strongly preferred. - Hands-on experience with SQL and strong understanding of query execution, indexing strategies, partitioning, and performance tuning. - Experience working with databases such as ClickHouse, PostgreSQL, MySQL, Snowflake, BigQuery, Redshift, or other columnar databases. - Understanding of modern data infrastructure: data lakes, ETL pipelines, CDC and data orchestration frameworks. - Demonstrated ability to work with engineering on low-level technical topics, such as schema management, query planning, storage engines, schema design. - Experience designing and delivering features such as database replication, consistency models, and backup/restore workflows. - Strong leadership skills with the ability to influence cross-functional teams and drive execution in a fast-paced, high-growth environment. - Excellent communication and presentation skills, capable of simplifying deep technical topics for non-technical audiences. Bonus Points: - Experience working and scaling open source technologies - Prior experience at a startup PERKS - Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries. - Healthcare - Employer contributions towards your healthcare. - Equity in the company - Every new team member who joins our company receives stock options. - Time off - Flexible time off in the US, generous entitlement in other countries. - A USD$500 Home office setup if you’re a remote employee. - Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites. CULTURE - WE ALL SHAPE IT As part of a rapidly scaling start-up, you will be instrumental in shaping our culture. Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse. EQUAL OPPORTUNITY & PRIVACY ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.

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8 148 вакансий по запросу «Scale»Сначала свежие

Anthropic353 дн назад

Research Scientist, Interpretability

San Francisco, CA

Anthropic353 дн назад

[Expression of Interest] Research Manager, Interpretability

Location: 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. Note: we don't have open Research Manager positions on the Interpretability team at this time. However, we're actively growing our team of Research Engineers and Research Scientists . If you're excited about interpretability research and open to an individual contributor role, we encourage you to apply. About the Interpretability team When you see what modern language models are capable of, do you wonder, "How do these things work? How can we trust them?" The Interpretability team’s mission is to reverse engineer how trained models work, and Interpretability research is one of Anthropic’s core research bets on AI safety. We believe that a mechanistic understanding is the most robust way to make advanced systems safe. People mean many different things by "interpretability". We're focused on mechanistic interpretability, which aims to discover how neural network parameters map to meaningful algorithms. Some useful analogies might be to think of us as trying to do "biology" or "neuroscience" of neural networks, or as treating neural networks as binary computer programs we're trying to "reverse engineer". We aim to create a solid scientific foundation for mechanistically understanding neural networks and making them safe (see our vision post ). We have focused on resolving the issue of "superposition" (see Toy Models of Superposition , Superposition, Memorization, and Double Descent , and our May 2023 update ), which causes the computational units of the models, like neurons and attention heads, to be individually uninterpretable, and on finding ways to decompose models into more interpretable components. Our subsequent work which found millions of features in Claude 3.0 Sonnet, one of our production language models, represents progress in this direction. In our most recent work , we developed methods that allow us to build circuits using features and use these circuits to understand the mechanisms associated with a model's computation and study specific examples of multi-hop reasoning, planning, and chain-of-thought faithfulness on Claude Haiku 3.5, one of our production models.” This is a stepping stone towards our overall goal of mechanistically understanding neural networks. A few places to learn more about our work and team are this introduction to Interpretability from our research lead, Chris Olah, Stanford CS25 lecture given by Josh Batson, and TWIML AI podcast with Emmanuel Ameisen. Some of our team's notable publications include and our Circuits’ Methods and Biology papers, Scaling Monosemanticity: Extracting Interpretable Features from Claude 3 Sonnet , Towards Monosemanticity: Decomposing Language Models With Dictionary Learning , A Mathematical Framework for Transformer Circuits , In-context Learning and Induction Heads , and Toy Models of Superposition . This work builds on ideas from members' work prior to Anthropic such as the original circuits thread , Multimodal Neurons , Activation Atlases , and Building Blocks . About the role As a manager on the Interpretability team, you'll support a team of expert researchers and engineers who are trying to understand at a deep, mechanistic level, how modern large language models work internally. Few things can accelerate this work more than great managers. Your work as manager will be critical in making sure that our fast-growing team is able to meet its ambitious safety research goals over the coming years. In this role, you will partner closely with an individual contributor research lead to drive the team's success, translating cutting-edge research ideas into tangible goals and overseeing their execution. You will manage team execution, careers and performance, facilitate relationships within and across teams, and drive the hiring pipeline. If you're more interested in making individual direct technical contributions to our research as the primary focus of your role, feel free to apply to our Research Scientist or Research Engineer roles instead. Key responsibilities Partner with a research lead on direction, project planning and execution, hiring, and people development Set and maintain a high bar for execution speed and quality, including identifying improvements to processes that help the team operate effectively Coach and support team members to have more impact and develop in their careers Drive the team's recruiting efforts, including hiring planning, process improvements, and sourcing and closing Help identify and support opportunities for collaboration with other teams across Anthropic Communicate team updates and results to other teams and leadership Maintain a deep understanding of the team's technical work and its implications for AI safety You may be a good fit if you Are an experienced manager (minimum 2-5 years) with a track record of effectively leading highly technical research and/or engineering teams Have a background in machine learning, AI, or a related technical field Actively enjoy people management and are experienced with coaching and mentorship, performance evaluation, career development, and hiring for technical roles Have strong project management skills, including prioritization and cross-functional coordination and collaboration Have managed technical teams through periods of ambiguity and change Are a quick learner, capable of understanding and contributing to discussions on complex technical topics and are motivated to learn about our research Are a strong communicator both in speaking and in writing Believe that advanced AI systems could have a transformative effect on the world, and are passionate about helping make sure that transformation goes well Strong candidates may also have Experience scaling engineering infrastructure Experience working on open-ended, exploratory research agendas aimed at foundational insights Some familiarity with our work and mechanistic interpretability Role-Specific Location Policy This role is expected to be in our SF office for 3 days a week. 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: $350,000 — $500,000 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. 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.

Anthropic353 дн назад

Research Engineer, Interpretability

Location: 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: When you see what modern language models are capable of, do you wonder, "How do these things work? How can we trust them?" The Interpretability team at Anthropic is working to reverse-engineer how trained models work because we believe that a mechanistic understanding is the most robust way to make advanced systems safe. Think of us as doing "neuroscience" of neural networks using "microscopes" we build - or reverse-engineering neural networks like binary programs. More resources to learn about our work: Our research blog - covering advances including Monosemantic Features and Circuits An Introduction to Interpretability from our research lead, Chris Olah The Urgency of Interpretability from CEO Dario Amodei Engineering Challenges Scaling Interpretability - directly relevant to this role 60 Minutes segment - Around 8:07, see a demo of tooling our team built New Yorker article - what it's like to work on one of AI's hardest open problems Even if you haven’t worked on interpretability before, the infrastructure expertise is similar to what's needed across the lifecycle of a production language model: Pretraining: Training dictionary learning models looks a lot like model pretraining - creating stable, performant training jobs for massively parameterized models across thousands of chips Inference: Interp runs a customized inference stack. Day-to-day analysis requires services that allow editing a model's internal activations mid-forward-pass - for example, adding a "steering vector" Performance: Like all LLM work, we push up against the limits of hardware and software. Rather than squeezing the last 0.1%, we are focused on finding bottlenecks, fixing them and moving ahead given rapidly evolving research and safety mission The science keeps scaling - and it's now applied directly in safety audits on frontier models, with real deadlines. As our research has matured, engineering and infrastructure have become a bottleneck. Your work will have a direct impact on one of the most important open problems in AI. Responsibilities: Build and maintain the specialized inference and training infrastructure that powers interpretability research - including instrumented forward/backward passes, activation extraction, and steering vector application Resolve scaling and efficiency bottlenecks through profiling, optimization, and close collaboration with peer infrastructure teams Design tools, abstractions, and platforms that enable researchers to rapidly experiment without hitting engineering barriers Help bring interpretability research into production safety audits - with real deadlines and high reliability expectations Work across the stack - from model internals and accelerator-level optimization to user-facing research tooling You may be a good fit if you: Have 5-10+ years of experience building software Are highly proficient in at least one programming language (e.g., Python, Rust, Go, Java) and productive with Python Are extremely curious about unfamiliar domains; can quickly learn and put that knowledge to work, e.g. diving into new layers of the stack to find bottlenecks Have a strong ability to prioritize the most impactful work and are comfortable operating with ambiguity and questioning assumptions Prefer fast-moving collaborative projects to extensive solo efforts Are curious about interpretability research and its role in AI safety (though no research experience is required!) Care about the societal impacts and ethics of your work Are comfortable working closely with researchers, translating research needs into engineering solutions. Strong candidates may also have experience with: Optimizing the performance of large-scale distributed systems Language modeling fundamentals with transformers High Performance LLM optimization: memory management, compute efficiency, parallelism strategies, inference throughput optimization Working hands-on in a mainstream ML stack - PyTorch/CUDA on GPUs or JAX/XLA on TPUs Collaborating closely with researchers and building tooling to support research teams; or directly performed research with complex engineering challenges Representative Projects: Building Garcon , a tool that allows researchers to easily instrument LLMs to extract internal activations Designing and optimizing a pipeline to efficiently collect petabytes of transformer activations and shuffle them Profiling and optimizing ML training jobs, including multi-GPU parallelism and memory optimization Building a steered inference system that applies targeted interventions to model internals at scale (conceptually similar to Golden Gate Claude but for safety research) Role Specific Location Policy: This role is based in the San Francisco office; however, we are open to considering exceptional candidates for remote work on a case-by-case 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: $315,000 — $560,000 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. 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.

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Software Engineer - Full Stack

Figma359 дн назад

Software Engineer - AI Platforms

Location: San Francisco, CA • New York, NY • United States Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! AI Platform teams build the core frameworks, abstractions, and systems that support AI features across Figma. We create new capabilities that AI product teams can build on, while collaborating with teams from around the company to improve our performance, reliability, and technical quality. We’re looking for strong infrastructure and platform-minded engineers to contribute to our agent infrastructure, context retrieval & ranking platform, and core AI services, in order to accelerate our most critical company-wide AI initiatives. Here are just a few areas our platform teams work on: Evals for design : Building evaluation frameworks for design generation quality that are used across every Figma AI feature. Agentic search: Providing relevant context from throughout the Figma ecosystem to agents via search tools, in order to improve agent quality. Figma MCP : Making our MCP server faster, more reliable, and easier for internal & external engineers alike to develop on. Agent infrastructure : Iterating on the sandboxes, harnesses, and tools leveraged by the agents that power Figma Make and the Figma Design Agent. Preview & publishing platforms : Creating the shared platforms for building, previewing, and publishing code written by agents via Figma Make. This is a full time role that can be held from one of our US hubs or remotely in the United States. What you’ll do at Figma: Support end-to-end AI feature development by designing, building, and maintaining systems that are scalable, reliable, and performant. Collaborate with product, research, and infrastructure engineers working across AI. Help shape our platform strategy, roadmaps, and engineering best practices throughout the organization. Debug and resolve complex production issues that span services and layers of the stack. Mentor engineers and foster a culture of collaboration, inclusivity, and technical excellence. We'd love to hear from you if you have: 5+ years of Software Engineering experience, especially in backend or infrastructure engineering. 3+ years of experience in one or more of: AI, search infrastructure, or developer platforms. Proficiency in TypeScript, Python, or Ruby. Strong system design skills and a track record of architecting resilient production systems. Excellent communication skills, with experience collaborating across teams and mentoring others. While not required, It’s an added plus if you also have: Prior experience in building AI infrastructure at scale, whether that be model training or serving platforms. Experience evolving large-scale, shared developer platforms to improve reliability and developer velocity. A proven track record of leading technical strategy and complex, multi-team projects. At Figma, one of our values is Grow As You Go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. Pay Transparency Disclosure Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), market demands, and specific work location. Figma offers equity to employees, as well as a competitive package of additional benefits, including health, dental, and vision coverage; retirement benefits with company contributions; parental leave and reproductive or family planning support; mental health and wellness benefits; and paid time off. Figma provides paid sick leave, holidays, and other leave benefits in compliance with applicable federal, state, and local laws, including the requirements of the Washington Minimum Wage Act and related regulations. Exempt employees are eligible for employer‑provided paid flexible PTO in addition to flexible paid sick leave. PTO is subject to manager approval. Additional benefits may include company recharge days, cell phone and home internet reimbursements, and a number of lifestyle spending accounts. Figma also offers sales incentive compensation for most sales roles and an annual bonus plan for eligible non-sales roles. All compensation and benefits are subject to applicable plan terms and may be modified by Figma at any time, consistent with applicable law. Annual Base Salary Range: $153,000 — $376,000 USD At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an equal opportunity workplace - we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status , or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to accommodations-ext@figma.com . These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities. Examples of accommodations include but are not limited to: Holding interviews in an accessible location Enabling closed captioning on video conferencing Ensuring all written communication be compatible with screen readers Changing the mode or format of interviews To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding. By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with Figma's Candidate Privacy Notice . Application limits: To help candidates focus on the opportunities most relevant to their skills and experience, Figma limits the number and frequency of applications. These limits apply to all roles: Candidates may submit up to 5 applications during any rolling 30-day period. Candidates may not reapply to the same role while an application is active or within 90 days of receiving a rejection. Once the applicable days has passed, candidates are welcome to apply again.

Dexis360 дн назад

Assessment, Monitoring, and Evaluation (AM&E) Analyst, DOS

Dexis360 дн назад

Deputy Team Lead (AM&E Specialist), DOS

Location: Washington, District of Columbia, United States Dexis is a dynamic professional services firm dedicated to partnering with government and community leaders both in the U.S. and internationally to achieve critical social outcomes in a rapidly changing world. At Dexis, you will experience a corporate culture of inclusiveness, respect, fairness, and trust. You will be given the means and mentorship needed to succeed, and your creativity will be rewarded. About the Position Dexis is recruiting a Deputy Team Lead to support anticipated programming with the Department of State (DOS). This opportunity will provide policy direction and oversight in the areas of international security, security assistance, military operations, and defense strategy and plans, specifically focused on Foreign Military Financing (FMF) and International Military Education and Training (IMET) military grant assistance programs. Candidates must have an active Secret Clearance. This position is contingent upon contract award. Responsibilities Support the Team Lead (TL) in providing overall program management, including strategic vision and team leadership; developing and implementing work plans; liaising with State Department and Department of Defense FMF/IMET stakeholders; interviewing foreign government officials; identifying and mitigating program risks; and ensuring achievement of program results and objectives. Provide technical support and oversight to knowledge management, monitoring, evaluation, capacity building, learning, and other project activities and assist the TL in monitoring the work of staff. Conduct research and analyze program data to identify program trends. Develop country reports, annual assessment, and deep dive analyses. Manage all performance monitoring-related tasks for FMF and IMET, including supervision of data collection, hands-on generation of new project data, and participation in evaluations and assessments. Contribute substantively to the design and development of the evaluation methodology, participatory data collection methods and protocols, data verification techniques, development of evaluation products, and other analytical tasks. Qualifications A Master’s degree or higher in a relevant discipline, such as international relations, defense and security policy, military studies, trade policy, public policy, public administration. At least five (5) years of relevant experience. At least three (3) years of foreign or security assistance initiative experience in designing or conducting large-scale AME analytic activities for international programs. Active Secret Security Clearance. Excellent leadership and interpersonal skills and ability to work with many disparate stakeholders with competing interests. Strong analytical and critical thinking skills. Excellent communication skills to include technical writing and editing, oral communication, interpersonal and organization skills. Experience related to: Developing data collection plans to guide research efforts Preparing written analytical reports Coordinating and collaborating with multiple stakeholders Awareness of monitoring and evaluation policies of the Department of State. Experience and understanding of security assistance and security cooperation policies, activities, processes. Self-motivated, detail oriented, and highly organized. Ability to develop and implement processes and procedures to increase team effectiveness. Ability to multi-task, respond to quick turn-around requests, and prioritize tasks. Flexible and readily adaptable to change, including changes in processes, requirements, and priorities. Proficiency in Microsoft Office Programs (Excel, Word, PowerPoint, SharePoint). Below is the pay range aligned with this position. When developing a range, Dexis evaluates compensation holistically, triangulating between external market research , our budget for the position, and internal equity to arrive at a figure that is fair and competitive. Offers within this range will be based on an individual candidate's qualification, relevant education and experience, skills, performance, and organizational needs. Dexis pay range for this role: $115,000 — $150,000 USD Benefits Dexis offers benefits to support employees’ health, financial security, and well-being. The benefits outlined below are for full-time, US-based positions only. These benefits include: Medical and prescription drug coverage: A choice of three UnitedHealthcare medical plans, with coverage options for employees and eligible dependents. Dental insurance: Dental coverage for employees and eligible dependents, including preventive, basic, major, and orthodontic services, subject to plan limits. Company-paid vision insurance: Vision coverage for employees and eligible dependents, with premiums paid in full by Dexis. Employer-funded health reimbursement arrangement (HRA): Employees who enroll in the Silver HRA medical plan receive an employer-funded HRA to help pay eligible in-network deductible expenses. Company-paid life and disability insurance: Basic life and accidental death and dismemberment (AD&D) insurance, plus short-term and long-term disability coverage. Optional supplemental insurance: Voluntary supplemental life and AD&D insurance options, including life insurance options for eligible dependents. Employee Assistance Program (EAP): Company-paid access to confidential counseling and legal and financial support resources for employees and their families. Health and wellness resources: Virtual care, behavioral health resources, and wellness programs available through the medical plan. Benefits assistance: Personalized support with benefit enrollment, coverage questions, claims, and finding providers through the Employee Care Center. Participation, coverage, and employee contributions are subject to applicable benefit plan terms and eligibility requirements. Dexis is on a mission to help solve today’s most pressing global political, social, and economic challenges and create a world where all people are safe and prosperous. As a Dexis employee, you will be challenged, empowered, and mentored. Our motto is “find a way or make a way” — that’s how Dexis goes “all in.” How will you? If you are passionate about this opportunity, apply now! Only those applicants who meet the above criteria will be contacted for interview. Dexis is an Equal Opportunity Employer, and does not discriminate on the basis of race, color, sex, national origin, religion, pregnancy, disability, age, genetic information, military service, veteran status, ethnicity, citizenship, sexual orientation, gender identity, marital status, childbirth and related medical conditions, including lactation, or any other protected class under applicable law.

Dexis360 дн назад

Team Lead (Senior AM&E Specialist), DOS

Location: Washington, District of Columbia, United States Dexis is a dynamic professional services firm dedicated to partnering with government and community leaders both in the U.S. and internationally to achieve critical social outcomes in a rapidly changing world. At Dexis, you will experience a corporate culture of inclusiveness, respect, fairness, and trust. You will be given the means and mentorship needed to succeed, and your creativity will be rewarded. About the Position Dexis is recruiting a Team Lead to support anticipated programming with the Department of State (DOS). This opportunity will provide policy direction and oversight in the areas of international security, security assistance, military operations, and defense strategy and plans, specifically focused on Foreign Military Financing (FMF) and International Military Education and Training (IMET) military grant assistance programs. Candidates must have an Active Secret Clearance. This position is contingent upon contract award. Responsibilities Head the DOS office’s AM&E Unit, oversee all staff on this contract, and provide technical direction and overall guidance for all activities and deliverables under this contract. Supervise the work of all staff and be responsible for successful completion and delivery of all products. Serve as the primary administrative contact between DOS and all other team members regarding M&E product development and progress on project deliverables. Advise the Deputy Team Lead (DTL) and Assessment, Monitoring, and Evaluation (AM&E) Analysts on how best to work with Department of State stakeholders and the wider Dexis team to design and develop M&E products consistent with the Foundations for Evidence-Based Decision-making Act, the Foreign Assistance Transparency and Accountability Act (FATAA), and Department of State policies and definitions. Attend regular meetings with the client, prepare required reports on project progress, and ensure consistency of staffing and levels of effort. Provide technical oversight to knowledge management, monitoring, evaluation, capacity building, learning, and other project activities. Conduct all requirements of the Deputy Team Lead and senior, mid-level, and junior M&E Specialists as needed. Manage relationships with DOS stakeholders, oversee the overall reporting cycle and data collection, and ensure high quality of all analyses and reports. Qualifications Secret Clearance or ability to obtain one before onboarding. Master’s degree and at least ten (10) years of relevant professional experience. At least five (5) years of foreign or security assistance initiative experience in designing or conducting large-scale AME analytic activities for international programs. At least three (3) years of experience leading (e.g., Lead or Deputy) an M&E team. At least six (6) years of professional M&E experience. At least eight (8) years of experience in multi-tasking complex projects, requiring interpersonal and customer service, writing, analytic, problem-solving and computer skills. Excellent written and oral communications skills, including the ability to synthesize and distill complex information for executive consumption. Demonstrated research, analytical and problem-solving capabilities. Demonstrated ability to manage subordinates, including the ability to assign work, monitor progress, and apply supportive course corrections, while creating a positive work environment. Demonstrated proficiency with Microsoft software (e.g. Word, Power Point, Teams, SharePoint), including advanced experience in Microsoft Excel. Demonstrated fluency of English speaking and writing, including experience in the writing and briefing styles of the Department of State. Below is the pay range aligned with this position. When developing a range, Dexis evaluates compensation holistically, triangulating between external market research , our budget for the position, and internal equity to arrive at a figure that is fair and competitive. Offers within this range will be based on an individual candidate's qualification, relevant education and experience, skills, performance, and organizational needs. Dexis pay range for this role: $145,000 — $190,000 USD Benefits Dexis offers benefits to support employees’ health, financial security, and well-being. The benefits outlined below are for full-time, US-based positions only. These benefits include: Medical and prescription drug coverage: A choice of three UnitedHealthcare medical plans, with coverage options for employees and eligible dependents. Dental insurance: Dental coverage for employees and eligible dependents, including preventive, basic, major, and orthodontic services, subject to plan limits. Company-paid vision insurance: Vision coverage for employees and eligible dependents, with premiums paid in full by Dexis. Employer-funded health reimbursement arrangement (HRA): Employees who enroll in the Silver HRA medical plan receive an employer-funded HRA to help pay eligible in-network deductible expenses. Company-paid life and disability insurance: Basic life and accidental death and dismemberment (AD&D) insurance, plus short-term and long-term disability coverage. Optional supplemental insurance: Voluntary supplemental life and AD&D insurance options, including life insurance options for eligible dependents. Employee Assistance Program (EAP): Company-paid access to confidential counseling and legal and financial support resources for employees and their families. Health and wellness resources: Virtual care, behavioral health resources, and wellness programs available through the medical plan. Benefits assistance: Personalized support with benefit enrollment, coverage questions, claims, and finding providers through the Employee Care Center. Participation, coverage, and employee contributions are subject to applicable benefit plan terms and eligibility requirements. Dexis is on a mission to help solve today’s most pressing global political, social, and economic challenges and create a world where all people are safe and prosperous. As a Dexis employee, you will be challenged, empowered, and mentored. Our motto is “find a way or make a way” — that’s how Dexis goes “all in.” How will you? If you are passionate about this opportunity, apply now! Only those applicants who meet the above criteria will be contacted for interview. Dexis is an Equal Opportunity Employer, and does not discriminate on the basis of race, color, sex, national origin, religion, pregnancy, disability, age, genetic information, military service, veteran status, ethnicity, citizenship, sexual orientation, gender identity, marital status, childbirth and related medical conditions, including lactation, or any other protected class under applicable law.

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Principal Product Manager - ClickHouse Cloud

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