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Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role The Account Abuse team is tasked with ensuring Anthropic's computing capacity is allocated fairly, minimizing resources available to bad actors and preventing them from coming back. As a software engineer on this team, you will build the machine learning systems that help us detect and stop abuse at scale. The ideal candidate can see things from opponents' perspectives, understand their means and motives, and anticipate their responses to countermeasures. We're looking for full stack machine learning engineers with experience across model training, productionization, and evaluation. You'll also look for ways to use Claude to speed up how these models get built and maintained. This is classical ML on structured and behavioral data. You do not need a deep learning background or knowledge of LLM internals. What matters is that you have trained and shipped models where the stakes are real, and that you care about building robust production systems as much as the model itself. A false positive here is a legitimate customer locked out, so measurement, precision, and safe rollout are part of the job. Key responsibilities Build and operate a feature computation platform that serves both model training and real-time scoring, with point-in-time correct training data and low-latency online retrieval Train, evaluate, and deploy models that detect account-level abuse and fraud, running them both offline and online Build tooling that automates more of the model development lifecycle, including using Claude to speed up feature development, training, and evaluation Make backtesting, shadow deployment, and staged rollout the default path to production, with monitoring for training / serving skew, drift, and adversarial adaptation Work with our data scientists and our Policy & Enforcement team to improve label coverage and quality Partner with product and platform teams to gather signals and integrate model decisions with minimal impact on their systems' latency, stability, or overall architecture Minimum qualifications Proficiency in Python and SQL Experience training machine learning models and deploying them to production Experience building data pipelines with a batch processing engine (e.g., Spark, Beam) and a workflow scheduler (e.g., Airflow) Working understanding of point-in-time correctness and training / serving skew, and how to prevent both Strong communication skills and ability to explain technical tradeoffs to non-technical stakeholders Preferred qualifications Experience building or operating a feature platform such as Chronon, Feast, or Tecton Experience with stream processing engines such as Flink, Beam / Dataflow, or Kafka Streams Experience training ML models in a production setting with demanding serving requirements, such as fraud, risk, or ranking Experience with tree-based models on tabular data Experience building unsupervised, clustering-based or graph-based detection systems to surface coordinated account abuse Experience in integrity, spam, fraud, or abuse detection Experience working with scarce, delayed, or noisy labels Experience with AutoML or other approaches to automating the ML workflow Care about the societal impacts of AI and want your work to make powerful systems safer The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Boston, MA Workplace: OnSite At WHOOP, we’re on a mission to unlock human performance and healthspan. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies, behaviors, and daily lives. WHOOP is hiring an Associate Director of Design Research to lead and scale the Design Research practice at WHOOP. This role will oversee Design Research, shaping how user feedback and experiences inform product innovation from early-stage insights to pre-launch validation studies to post-launch feedback. As a people-first leader, you will balance strategic direction, team development, and leadership evangalism—ensuring research rigor, creativity, and impact across the product lifecycle. RESPONSIBILITIES: - Provide strategic leadership for the design research team, ensuring alignment with key stakeholders and organizational priorities. - Evangelize the importance of user insights and the role of design research in the product and hardware development lifecycle to WHOOP senior leadership. - Scale research impact, working closely with cross-functional leaders to identify opportunities for research and set expectations for mixed-methods research, ensuring research is positioned as a critical input to decision-making. - Partner closely with senior team members to review research needs, assess tradeoffs, and guide prioritization and research direction. - Manage, coach, and develop a team of design researchers, fostering strong research craft, clear communication, and professional growth. - Own relationships with external research vendors, including scoping projects, defining success criteria, and ensuring high-quality execution. - Build a strong, cross-functional “voice of the member” for product decision-making in partnership with Consumer Insights, Analytics, and Membership Services. QUALIFICATIONS: - Bachelor’s degree in a relevant field such as human factors, design research, user experience research, design anthropology, psychology, or a related discipline. - 5+ years of experience conducting user research for physical products, ideally within hardware, health, or consumer product environments. - 5+ years of people management experience, including coaching, feedback, and performance development. - Strong mixed-methods research background, with demonstrated application of qualitative and quantitative approaches to real-world products. - Experience working within or alongside hardware development lifecycles (not software-only). - Experience managing or partnering with external research vendors, including project scoping and execution. - Ability to manage multiple workstreams, navigate ambiguity, and influence without direct authority across cross-functional teams. - Excellent written, verbal, and presentation skills, with the ability to communicate complex insights to executive audiences. - Strong commitment to embracing and leveraging AI tools in day-to-day tasks, ensuring AI-assisted work aligns with the same high-quality standards as personal contributions. *This role is based out of our Boston, MA headquarters and requires work onsite Monday-Friday. Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply. WHOOP is an Equal Opportunity Employer and participates in E-verify to determine employment eligibility. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values. At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success. The U.S. base salary range for this full-time position is $140,000 - $180,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training. In addition to the base salary, the successful candidate will also receive benefits and a generous equity package. These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.

Location: Santa Clara, CA Forward was founded in 2013 by four Stanford Ph.D.s, building the industry's first network digital twin: a mathematically accurate model of the production network. It's the foundation for autonomous networking, giving engineers and AI agents the ability to know the impact of every change before it touches production. That founding instinct still defines how we work. We're accurate and evidence-driven, relentless about clarity, and we'd rather be certain than comfortable, building a groundbreaking platform that transforms how teams run and secure networks across every major cloud and vendor environment. Global leaders like Goldman Sachs, PayPal, S&P Global, IBM, and Dell trust Forward, alongside fast-growing enterprises and government agencies, realizing an average of $14.2 million in annual benefits, according to IDC. Backed by top-tier investors, including A. Capital, Andreessen Horowitz, Goldman Sachs, MSD Partners, Omega Venture Partners, Section 32, and Threshold Ventures, and headquartered in Santa Clara, we're most proud of our team: curious people who'd rather build what doesn't exist than accept how things have always been done. We are looking for a Website Manager to lead the strategy and execution for forwardnetworks.com. Reporting to the Director of Content and Digital Marketing, you'll bring a product manager's mindset to our primary web property, driving its long-term strategy, daily performance, and continuous evolution. Your goal is to bridge the gap between web strategy, design, technical execution, and user experience. As we enter our next stage of growth, you'll balance rigorous daily operations with high-impact initiatives to ensure our digital presence scales securely and efficiently alongside our business. Key responsibilities Web Strategy & Operations: Treat the website as an evolving product—own the strategic roadmap and the daily intake, prioritization, and execution of all web updates. Use Jira to triage engineering requests and bug fixes, and Asana to project-manage larger cross-functional campaigns. Always-On Performance, Metrics, and Attribution: Own core technical and engagement metrics, site availability, Core Web Vitals, traffic, and usability across desktop and mobile. Connect site behavior to pipeline through CRM/marketing-automation integration. Platform Architecture, Evolution, and Accessibility: Own the technical health and modernization of our web platforms, including WCAG/Section 508 conformance, evaluating and implementing enterprise-grade CMS, and infrastructure that scales securely. SEO & Organic Growth: Own technical SEO, site architecture, and organic search performance as a primary driver of pipeline; monitor emerging AI-search/answer-engine visibility as a channel. Iterative CRO & Personalization: Run a continuous testing program — audits, A/B tests, and landing-page refinement — including personalized experiences for distinct buyer segments (e.g., federal, enterprise, mid-market) via our ABM/personalization stack. Global Site Architecture: Build and maintain a scalable, localizable site structure — translation workflow, regional compliance (e.g., GDPR), and CMS framework — to support our enterprise segment's international footprint. Qualifications 5–10 years managing B2B tech or SaaS websites with a product management mindset. Bachelor’s degree or equivalent practical experience. Hands-on experience leading a major enterprise web platform upgrade or migration, start to finish. Daily-operations proficiency in Jira and/or Asana. Technical foundation with a genuinely enterprise-grade CMS (e.g., Contentful, Sitecore, Adobe Experience Manager, or a comparable headless/composable platform), HTML/CSS/JS, and scalable architecture. Expertise in GA4, Google Tag Manager, Core Web Vitals, and SEO tooling (e.g., Search Console, Screaming Frog) to measure and improve traffic, availability, and usability. Data-driven, detail-oriented approach to problem-solving. Base Salary Range: $140,000 – $170,000 per year This range represents the low and high end of the salary for this position. Actual compensation will vary based on factors including location, candidate experience, skills, and level. In addition to base salary, this role will be eligible for equity and benefits.

Location: San Francisco Pricing Strategy Director The Monetization Strategy team drives Asana’s pricing/packaging strategy and execution, helping our customers get more value out of our offerings and capturing a fair share of that value.  We work cross functionally to deliver impactful offerings for team productivity and collaboration.  We’re helping to define the Work Management category and inventing new ways for teams to work more efficiently together and see the larger purpose behind their work.  Our team works directly with Product/Engineering, Sales/Support, Customer Research, Marketing, Data Science, Finance and Operations to deliver valuable offerings to our customers.  You’ll take part in every type of product work here – from strategy to product to process improvements – conceptualizing, launching, and iterating on Asana itself for millions of teams around the world. As the Pricing Strategy Director, you’ll play an instrumental role in building and executing Asana’s product monetization strategy. Reporting to the Head of Pricing and Packaging, you will partner closely with Product, Sales/GTM, Marketing, Finance and operational leaders to launch and optimize our monetization strategy to drive sustainable revenue growth and deliver an exceptional customer experience. This role can be based in our San Francisco or Vancouver office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do and the teams with which you partner. If you're interviewing for this role, your recruiter will share more about the in-office requirements. What you’ll achieve With a focus on 1-2 business lines, drive the launch and optimization of our offerings: packaging, pricing model, price levels, and discount strategy.  Ensure it aligns with business objectives and strategies. Maintain an informed perspective on the business by examining operating metrics, customer data, and market trends to spot potential monetization opportunities. Identify opportunities to drive impact in short term (1Q) and long term (1-3 yrs), develop strategies to seize those opportunities, and drive decision making and organizational alignment. Design and execute detailed customer, product, competitor, and financial analyses to support the strategic recommendations. Collaborate cross-functionally (Product, Sales/CS, Finance, Operations) to create pricing and packaging recommendations, and confidently present these findings to the executive team (GMs, c-level, including CEO). Orchestrate operational plan to implement monetization strategies, partnering closely with IT/Operations, Finance, Sales Enablement, and Deal Desk. Participate in determining pricing KPIs. Track, monitor, and report on the effectiveness of implemented pricing and packaging changes as well as health of the business. About you 8+ years of pricing experience in strategy consulting / B2B software, which ideally includes 2+ years in pricing at enterprise-level SaaS companies Proven experience in building pricing models, tools, and processes to optimize the pricing strategy Robust analytical skills, including customer/competitor research and financial analysis to help drive data-driven decisions Understanding of SaaS pricing, self-serve (product-led) and sales-lead go-to-market strategies, and customer buying behaviors (SMB and enterprise customers) Demonstrated ability to cultivate impactful cross-functional relationships and lead diverse teams to achieve business objectives Demonstrates curiosity about AI tools and emerging technologies, with a willingness to learn and leverage them to enhance productivity, collaboration, or decision-making Familiarity with pricing and packaging research techniques (e.g., Conjoint, Van Westendorp) and proficiency in using survey tools such as Qualtrics Familiarity with pricing trends in the marketplace, including AI pricing At Asana, we're committed to building teams that include a variety of backgrounds, perspectives, and skills, as this is critical to helping us achieve our mission. If you're interested in this role and don't meet every listed requirement, we still encourage you to apply. What we’ll offer Our comprehensive compensation package plays a big part in how we recognize you for the impact you have on our path to achieving our mission. We believe that compensation should be reflective of the value you create relative to the market value of your role. To ensure pay is fair and not impacted by biases, we're committed to looking at market value which is why we check ourselves and conduct a yearly pay equity audit. For this role, the estimated base salary range is between $207,000 - $250,000. The actual base salary will vary based on various factors, including market and individual qualifications objectively assessed during the interview process. The listed range above is a guideline, and the base salary range for this role may be modified. In addition to base salary, your compensation package may include additional components such as equity, sales incentive pay (for most sales roles), and benefits. If you're interviewing for this role, speak with your Talent Acquisition Partner to learn more about the total compensation and benefits for this role. We strive to provide equitable and competitive benefits packages that support our employees worldwide and include: Mental health, wellness & fitness benefits Career coaching & support Inclusive family building benefits Long-term savings or retirement plans In-office culinary options to cater to your dietary preferences These are just some of the benefits we offer, and benefits may vary based on role, country, and local regulations. If you're interviewing for this role, speak with your Talent Acquisition Partner to learn more about the total compensation and benefits for this role. #LI-Hybrid About us Asana is a leading platform for human + AI collaboration. Millions of teams around the world rely on Asana to achieve their most important goals, faster. Asana has been named to Fortune's Best Workplaces for 7+ years and recognized by Fast Company, Forbes, and Gartner for excellence in workplace culture and innovation. We offer an exceptional office-centric culture while adopting the best elements of hybrid models to ensure that every one of our global team members can work together effortlessly. With 13+ offices all over the world, we are always looking for individuals who care about building technology that drives positive change in the world and a culture where everyone feels that they belong. We believe in supporting people to do their best work and thrive. Our goal is to ensure that Asana upholds an environment where all people feel that they are respected and valued, whether they are applying for an open position or working at the company. We provide equal employment opportunities to all applicants without regard to 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 law. Join Asana’s Talent Network to stay up to date on job opportunities and life at Asana.

Location: Lexington Workplace: OnSite Job Title: Independent BCBA (1099), Full Admin Support & Autonomy, South Carolina Location: Onsite Job Type: 1099 Independent Contractor Earning Potential: up to $125,000+ per year (Based on caseload volume) The Freedom to Focus on Clinical Care (We Handle the Rest) Are you a BCBA tired of burnout, impossible caseloads, and drowning in administrative red tape? At Tellos, we believe that to provide the best clinical outcomes for children, providers need autonomy, support, and a healthy work-life balance. We are looking for Independent Contractor (1099) BCBAs located in South Carolina who want to take control of their career. How It Works Think of this as "plug-and-play" independence. You act as the clinical leader, determining the best course of treatment for your clients. We act as your backend operations team. You Focus On: - Clinical decisions and quality of care. - Determining your own schedule. - Deciding if a case requires in-person support or if telehealth is clinically appropriate. - Taking on as many (or as few) clients as fits your lifestyle. We Handle: - RBT Staffing: We handle the sourcing, vetting, payroll, and retention perks; you make the final decision on who joins your team to ensure the right clinical fit. - The Paperwork: We handle credentialing, authorizations, billing, and claims submissions. - Client Acquisition: We manage the referral pipeline and intake process, connecting you directly with families seeking services so you don’t have to worry about marketing or outreach. Key Responsibilities - Lead Clinically: Conduct robust functional behavior assessments (FBAs) and skill-based assessments to design individualized, evidence-based treatment plans that target meaningful outcomes. - Drive Treatment Fidelity: Provide competency-based supervision and mentorship to RBTs, ensuring protocols are implemented with high fidelity and clinical rigor. - Data-Based Decision Making: Utilize visual data analysis to monitor client progress, modifying instructional protocols and behavior intervention plans (BIPs) in real-time to ensure continuous growth. - Documentation & Medical Necessity: Collaborate with the Tellos admin team to ensure all clinical documentation clearly demonstrates medical necessity, meeting payer standards without compromising clinical depth. - Facilitate Caregiver Partnership: Partner with families through consistent collaboration and parent coaching to ensure skills generalize to the home environment, driving sustainable, long-term outcomes. - Ethical Practice: Uphold the highest standards of professional practice and client dignity in accordance with the BACB Ethics Code for Behavior Analysts. Why Partner with Tellos? - Total Caseload Control: You decide your volume. Whether you want a full-time caseload or just a few clients to supplement your income, you are in the driver's seat. - Telehealth Flexibility: We support a telehealth model where clinically appropriate, giving you the ability to work from home as you see fit (up to 25% of hours as approved by insurance) - No Admin Burnout: Being independent doesn’t mean you have to handle insurance on your own. We have a dedicated team to handle the billing, denials, and authorization processes. - Recruitment Support: We manage the sourcing and first-round interviews so you don’t have to sift through resumes. We present you with vetted candidates for your final approval and provide the backend support systems you need to build a stable team that sticks with you. Qualifications - Active Board Certified Behavior Analyst (BCBA) certification. - Residence in South Carolina required - Master’s Degree in Applied Behavior Analysis, Psychology, or related field. - Strong desire for autonomy and the discipline to manage an independent schedule. - Comfortable using technology for Telehealth supervision and digital data collection. Ready to define your own practice? Step 1: Chat with us about your clinical philosophy and income goals. Step 2: We handle the credentialing and setup to get you ready. Step 3: We match you with clients and RBTs based on your preferences. Step 4: You start working on your own terms. Apply today to reclaim your time and your passion for ABA. We believe in hiring people, not resumes. If you’re excited by Tellos’s mission but unsure if you meet every requirement, we still encourage you to apply, we’d love to learn what you’d bring to the team.

Location: United States Workplace: Remote About Cantina: Cantina Labs is a social AI company, developing a suite of advanced real-time models that push the boundaries of expression, personality, and realism. We bring characters to life, transforming how people tell stories, connect, and create. We build and power ecosystems. Cantina, our flagship social AI platform, is just the beginning. If you're excited about the potential AI has to shape human creativity and social interactions, join us in building the future! About the Role: Cantina is a place where people create AI characters and the videos those characters star in, and the catalog grows far faster than anyone can browse. Search and recommendations are what turn that catalog into a product: they decide which characters a new user meets in their first minute, which creators get discovered, and what appears in every feed, leaderboard, and discovery surface we ship. We are hiring a Senior Staff Software Engineer to own that area end to end — retrieval, ranking, relevance quality, and the roadmap for all three. This is the first dedicated hire for search and recommendations, so you will inherit a real production system serving live traffic along with a large amount of unclaimed ground, and you will set the technical direction rather than execute someone else’s. What you'll do: - Own the architecture and roadmap for search and recommendations end to end — query understanding, retrieval, ranking, and the surfaces they feed: search, discovery, the home feed, and our trending and creator leaderboards. - Make relevance a measured discipline rather than an opinion: define the quality metrics per surface, build the offline evaluation and golden-set tooling, and run the online experiments that decide whether a ranking change ships. - Design and evolve the ranking stack — engagement signal pipelines, decay and freshness models, and the pattern we use to combine pre-computed index-time signals with live re-ranking at query time. - Own OpenSearch in production: index and mapping design, reindex and cutover safety, query performance, cost, and the operational headroom of the clusters behind every discovery surface. - Build candidate generation and personalization for recommendation surfaces, and partner with data and ML on the feature pipelines and models behind them. - Work directly with Product and Trust & Safety on what “good” means for each surface — quality gates, cold-start behavior for brand-new creators and characters, and what must never be recommended. - Set the engineering standard for the area: instrumentation, flag-gated rollouts, and runbooks that let other teams change ranking behavior without breaking it. - Act as the technical point of contact for discovery across backend teams, and mentor the engineers whose work touches it. What you'll bring: - 10+ years building production software, with substantial depth in search, ranking, recommendations, or ML-driven relevance on a consumer-scale product. - Hands-on expertise with a production search engine — OpenSearch, Elasticsearch, Lucene, Vespa, or similar — covering index and analyzer design, relevance tuning, and operating the cluster, not only querying it. - A rigorous approach to relevance measurement: you have owned offline evaluation, golden sets, and A/B or interleaving frameworks, and you can explain what moved a metric and why. - Fluency across the recommender stack — candidate generation, feature pipelines, embedding retrieval, re-ranking — and a working understanding of the serving constraints that make an offline win fail online. - Strong distributed systems and backend fundamentals, with production experience in Go or a comparable systems language, and comfort in the data layer behind it (SQL warehouses, streaming and batch pipelines). - Demonstrated ownership of an ambiguous area: you have picked up something with no dedicated owner, decided what mattered, and can show the result. - Clear written communication and the judgment to work with Product on real tradeoffs between relevance, freshness, safety, and latency. - Preferred: experience with AI-generated or rapidly growing content catalogs, severe cold-start conditions, or ranking under trust-and-safety constraints. Compensation: The anticipated annual base salary range for this role is between $250,000 - $320,000 (USD). When determining compensation, a number of factors will be considered, including skills, experience, job scope, location, and competitive compensation market data.   Benefits: - Competitive salary and generous company equity - Medical, dental, and vision insurance – 99.99% of premiums covered by Cantina - 42 days of paid time off, including: - 15 PTO days - 10 sick days - 15 company holidays - 2 floating holidays - Generous parental leave & fertility support - 401(k) retirement savings plan - Lifestyle spending account – $500/month to use however you’d like - Complimentary lunch and snacks for in-office employees - One Medical membership, and more!

Location: East Cobb, GA About Us Ennoble Care is a mobile primary care, palliative care, and hospice service provider with patients in New York, New Jersey, Maryland, DC, Virginia, Oklahoma, Kansas, Pennsylvania, Texas, Florida, Ohio, Kentucky, Mississippi, and Georgia. Ennoble Care’s clinicians go to the home of the patient, providing continuum of care for those with chronic conditions and limited mobility. Ennoble Care offers a variety of programs including, remote patient monitoring, behavioral health management, and chronic care management, to ensure that our patients receive the highest quality of care by a team they know and trust. We seek individuals who are driven to make a difference and embody our motto, “To Care is an Honor.” Join Ennoble Care today! Ennoble Care believes giving care is an Honor We are looking for a compassionate, dedicated Certified Nursing Assistant (CNA) to join our growing Hospice Company for ou r East Cobb, GA region. Duties The caregiver (CNA) will be responsible for: Provides or assists in ADL activities; personal hygiene, grooming, mouth, skin care and nails. Provides assistance in toileting, positioning and transfer activities, frequent turning and positioning of a bed bound resident/patient. Assists with the prescribed exercise and ROM activities which the resident/patient and Hospice aide have been taught by the Hospice Nurse. Assists with light housekeeping of individual's personal unit or room, including changing of bed linen and patient’s laundry. Feeds and assists with meals. Reports any changes in resident's/patient's condition to the Nurse About You Must have a valid GA CNA license Valid Driver’s License and reliable mode of transportation Authorized to work in the United States English fluency is not required; Se Habla Español Must be fully vaccinated against Covid-19 Available on weekends Starting at $18.50 per hour #purple Full-time employees qualify for the following benefits: Medical, Dental, Vision and supplementary benefits such as Life Insurance, Short Term and Long Term Disability, Flexible Spending Accounts for Medical and Dependent Care, Accident, Critical Illness, and Hospital Indemnity. Paid Time Off Paid Office Holidays All employees qualify for these benefits: Paid Sick Time 401(k) with up to 3% company match Referral Program Payactiv: pay-on-demand. Cash out earned money when and where you need it! Candidates must disclose any current or future need for employment-based immigration sponsorship (including, but not limited to, OPT, STEM OPT, or visa sponsorship) before an offer of employment is extended. Ennoble Care is an Equal Opportunity Employer, committed to hiring the best team possible, and does not discriminate against protected characteristics including but not limited to - race, age, sexual orientation, gender identity and expression, national origin, religion, disability, and veteran status.

Location: Cherokree County, GA About Us Ennoble Care is a mobile primary care, palliative care, and hospice service provider with patients in New York, New Jersey, Maryland, DC, Virginia, Oklahoma, Kansas, Pennsylvania, Texas, Florida, Ohio, Kentucky, Mississippi, and Georgia. Ennoble Care’s clinicians go to the home of the patient, providing continuum of care for those with chronic conditions and limited mobility. Ennoble Care offers a variety of programs including, remote patient monitoring, behavioral health management, and chronic care management, to ensure that our patients receive the highest quality of care by a team they know and trust. We seek individuals who are driven to make a difference and embody our motto, “To Care is an Honor.” Join Ennoble Care today! Ennoble Care believes giving care is an Honor We are looking for a compassionate, dedicated Per Diem Certified Nursing Assistant (CNA) to join our growing Hospice Company for ou r Cherokee County, GA region. Duties The caregiver (CNA) will be responsible for: Provides or assists in ADL activities; personal hygiene, grooming, mouth, skin care and nails. Provides assistance in toileting, positioning and transfer activities, frequent turning and positioning of a bed bound resident/patient. Assists with the prescribed exercise and ROM activities which the resident/patient and Hospice aide have been taught by the Hospice Nurse. Assists with light housekeeping of individual's personal unit or room, including changing of bed linen and patient’s laundry. Feeds and assists with meals. Reports any changes in resident's/patient's condition to the Nurse About You Must have a valid GA CNA license Valid Driver’s License and reliable mode of transportation Authorized to work in the United States English fluency is not required; Se Habla Español Must be fully vaccinated against Covid-19 Starting at $18.50 per hour #purple Full-time employees qualify for the following benefits: Medical, Dental, Vision and supplementary benefits such as Life Insurance, Short Term and Long Term Disability, Flexible Spending Accounts for Medical and Dependent Care, Accident, Critical Illness, and Hospital Indemnity. Paid Time Off Paid Office Holidays All employees qualify for these benefits: Paid Sick Time 401(k) with up to 3% company match Referral Program Payactiv: pay-on-demand. Cash out earned money when and where you need it! Candidates must disclose any current or future need for employment-based immigration sponsorship (including, but not limited to, OPT, STEM OPT, or visa sponsorship) before an offer of employment is extended. Ennoble Care is an Equal Opportunity Employer, committed to hiring the best team possible, and does not discriminate against protected characteristics including but not limited to - race, age, sexual orientation, gender identity and expression, national origin, religion, disability, and veteran status.

Location: Remote, Poland; Armenia; Agios Athanasios, Cyprus; Tbilisi, Georgia; Kazakhstan; Portugal; Bucharest, Romania; Serbia; Spain; Ukraine Workplace: fully Simple Life is the #1 AI-powered health coaching app for adults who want to lose weight and enjoy a healthier lifestyle—without the stress or extremes. Our mission is to empower people to feel their best every day. By challenging traditional, restrictive approaches, Simple offers a more sustainable method grounded in ease, personalization, and real-life support. Simple has had over 17 million downloads and more than 300,000 5-star reviews, having helped millions lose weight successfully and sustainably. Simple has earned recognition as Best Virtual Coach and one of the Top 100 AI companies — all thanks to a dedicated global team driving real impact. With SIMPLE as a partner in their pocket, users feel cared for and empowered to embrace — and stick to — new healthy habits. To learn more, visit simple.life . Simple is looking for a Senior Product Designer (Growth) to join our amazing Growth Design Team. Your expertise will contribute to our ambitious goal of positively impacting the nutrition and quality of life for over a 1,000,000,000 people worldwide. As a Senior Product Designer, you will focus on improving the onboarding process through a value proposition and personalized weight loss and nutrition coaching from a UI/UX perspective, turning users into loyal, paying customers through intuitive and effective design solutions. Key Responsibilities: As market leaders in monetization and conversion rate optimisation (CRO), we set the standard for excellence. We seek a specialist who can continue to push the boundaries, finding efficient, non-obvious solutions that keep us ahead; The ideal candidate delves deep, not just skimming the surface. We value professionals who think critically, analyze extensively, and understand the nuances of user behavior and market trends; It’s crucial to stay abreast of the latest trends, but more importantly, to understand them. We’re looking for someone who can interpret market shifts and user habits, applying this understanding to drive impactful monetization strategies; Deep knowledge of customer habits and psychology is key. Our aim is to create solutions that resonate with users, ensuring our strategies are grounded in real, actionable insights into what drives user decisions and loyalty. What we’re looking for: A perfect candidate would have 5+ years of experience in world-class consumer products and a proven track record in enhancing monetization; Proficient in using UX research, and data analytics to guide design decisions; Strong skills in modern mobile app product design, with a focus on monetization-friendly UX/UI; Proven experience in web-based CRO, with a knack for increasing user engagement and boosting paid conversions; Turning free users to paying customers through working with value positioning and optimizing growth funnels. Perks and Benefits: Open-minded teams, a welcoming and inclusive company culture, plus the opportunity to make a real difference with a game-changing health tech product; A competitive salary package based on your unique expertise, skillset, and impact on the product plus stock options; In-office, remote and hybrid work opportunities; Relocation package (Cyprus) - optional; The equipment whatever you need to be happy and productive; A premium SIMPLE subscription; 21 days annual leave, plus bank holidays (those observed where you live); Flexible hours. We focus on your results, not how long you spend at your desk.

Location: United States Workplace: Remote THE ROLE ClickHouse is the fastest, most resource-efficient open-source database for real-time analytics, and ClickHouse Cloud is growing across every region and segment. Our Solution Architects (SAs) are the technical heart of that growth: They run the proofs of concept, defend the architecture, and win the room against the largest data platforms in the world. You will be the single owner of global technical sales enablement and SA onboarding at ClickHouse. You are integral in deciding what a ClickHouse SA needs to know, say and do in order to be successful, and you wholly own the build out of the programs to get them there. You will measure everything, incorporate AI, and drive real results that time to revenue impact. You are the connective tissue between Product, Product Marketing, Sales leadership, SA leadership, and the field. This is a Principal-level individual contributor role. You lead through influence, the systems you build, and the credibility you earn. WHAT YOU'LL OWN GLOBAL SA ONBOARDING - Design and run the end-to-end onboarding program for new SAs across AMER, EMEA, and APJ. These include but are not limited to: Technical foundations, ClickHouse architecture and internals, demo and POC craft, discovery and objection handling, competitive positioning, and our sales process. - Define and certify ramp. Set clear 30/60/90-day milestones, build the certification and shadow-to-lead progression, and publish time-to-productivity as a metric leadership can see and trust. - Make onboarding regionally real. Adapt the global program to how each theater sells, and coordinate cohort schedules, mentors, and live sessions across time zones. TECHNICAL SALES ENABLEMENT STRATEGY AND EVERBOARDING - Own the global technical enablement plan and its calendar. This includes the quarterly priorities, the programs behind them, and the communication that keeps SA and Sales leadership aligned on what is shipping and why. - Run product-launch readiness for the field. Partner with Product and PMM so SAs have talk tracks, demo environments, hands-on labs, and competitive positioning before General Availability. - Build the competitive and architecture curriculum. Deep dives, battlecards, and objection-handling playbooks against the platforms we meet most (cloud data warehouses, search and observability stacks, and incumbent OLAP systems). - Extend enablement to adjacent technical roles as needed: Account Executives on technical fundamentals, Support on the sales motion, and partners on positioning. DIAGNOSE, THEN PRESCRIBE - Start from signals, not requests. Use call recordings, CRM data, win/loss, POC outcomes, certification results, and conversations with SA leaders to find the skill gaps that actually cost us deals, then classify and prioritize them with data. - Pick the right modality for the gap: hands-on lab, self-serve path, live workshop, AI role-play, peer teaching, or in-the-moment coaching. Measure behavior change and deal outcomes. - Close the loop. Systematically capture what is breaking in the field (friction, lost deals, recurring objections) and route it to Product, PMM, and Sales leadership as actionable recommendations. BUILD AT SCALE - Own the enablement toolchain: the LMS or learning hub, content repositories, certification tracking, and reporting. Keep a single source of truth for what is current. - Activate SME communities. Identify and support the SAs who are already the best at something, and give them the structure to teach it peer-to-peer across regions. STAY IN THE FIELD - Spend roughly 10% of your time in customer-facing moments by joining POCs, account reviews, and live coaching. - Facilitate. You will personally deliver live sessions, virtually and in person, at onboarding cohorts, regional kickoffs, and Kickoff events. OPERATE LIKE AN OWNER - Report on readiness. Define the KPIs (ramp time, certification rates, POC win rate, technical win contribution, workshop effectiveness) and present them in monthly and quarterly business reviews. - Manage the portfolio. Run multiple programs in parallel, protect the plan from ad-hoc drift, and say no with a reason and an alternative. - Expand the charter. This role will grow, potentially into hiring and leading a team, owning SKO technical tracks, partner enablement, or a technical certification program for customers. WHAT SUCCESS LOOKS LIKE IN THE FIRST YEAR - Every new SA worldwide goes through one global onboarding program with a defined ramp, and time-to-first-solo-POC is measured and trending down. - SAs are enabled on every major launch before GA, with demo environments and competitive positioning ready on day one. - Technical enablement priorities are set from field data and reviewed with SA and Sales leadership on a fixed cadence, and leadership can point to the deals and metrics that moved. - A living competitive and architecture curriculum exists, is current, and is used by SAs and, increasingly, by AEs. - SA leaders describe you as part of their extended leadership team, not a service desk. WHAT YOU BRING REQUIRED - 3+ years in a quota-carrying role. You have owned a number as an Account Executive, quota-carrying Solutions Engineer, or equivalent, and you know what it feels like when the quarter is on the line. - 8+ years total across solutions engineering, technical pre-sales, or technical enablement at an enterprise software or data infrastructure company, including experience building and running enablement or onboarding programs. - Deep hands-on data fluency: strong SQL, knowledge of OLAP/analytical databases, data warehousing architectures, streaming and ingestion pipelines, and at least one major cloud. You can run a demo, debug a lab, and read a query plan. - You have been the engineer in the room. You have run POCs, handled objections live, and defended a technical position against a well-funded competitor. - Proven program design and delivery: Needs analysis, curriculum design, facilitation (virtual and in person), certification, and measurement for a technical, global audience. - A self-starter with a bias for building. You create the plan when there is none, you ship version one before it is perfect, and you improve it from evidence. - Leads through influence. You can secure sponsorship from VPs, align cross-functional peers, and hold the field to a standard without a reporting line. - Data-driven and operational: comfortable pulling your own CRM and call-intelligence reports, defining KPIs, and debating the numbers with stakeholders. - Exceptional communicator. You make complex technical concepts accessible without dumbing them down, in writing and on stage. - Global mindset. Experience working across AMER, EMEA, and APJ time zones, and willingness to travel up to ~25% for cohorts, kickoffs, and field time. NICE TO HAVE - Hands-on experience with ClickHouse. - Experience at a high-growth infrastructure company through a major product launch or rapid SA headcount expansion. - Background in both pre-sales and post-sales technical roles. - Demonstrated use of AI tooling to automate content creation, build internal tools, or scale enablement beyond live delivery. - Familiarity with a structured sales methodology (MEDDPICC, Command of the Message, or similar) and with adult-learning or instructional-design principles. - Experience building SME networks, peer-learning cohorts, or technical certification programs. 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 eligible team member who joins our company receives equity. - 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.

Location: London Workplace: Hybrid Synthesia is the world’s leading AI video platform for business, used by over 90% of the Fortune 100. Founded in 2017, the company is headquartered in London, with offices and teams across Europe and the US. As AI continues to shape the way we live and work, Synthesia develops products to enhance visual communication and enterprise skill development, helping people work better and stay at the center of successful organizations. Following our recent Series E funding round, where we raised $200 million, our valuation stands at $4 billion. Our total funding exceeds $530 million from premier investors including Accel, NVentures (Nvidia's VC arm), Kleiner Perkins, GV, and Evantic Capital, alongside the founders and operators of Stripe, Datadog, Miro, and Webflow. ABOUT THE ROLE Almost any company can produce training video at scale today. Almost none can tell you whether it actually made someone better at their job. We're building the product that closes that gap: an agentic, real-time experience where people practice live, dynamic scenarios, and where organizations finally get genuine signal on readiness, instead of a metric tied to course completion. This is a zero-to-one bet on what comes after content, which is practice, and proof. You'll own one of two of the domains inside that bet, Surveys and Guidance, from strategy through ship. WHY NOW Real-time, agentic AI has only just become good enough to hold a convincing live scenario, and to make sense of what happens inside one. The window to define this category is open now, and we intend to own it. THE PROBLEM YOU'RE SOLVING Today, the most a company can do to check whether someone has genuinely learned something is watch them complete a module or pass a quiz. The behaviors that matter in real roles, in real moments, are rarely tested reliably, and what comes back to the business is a thin, lagging signal. We have the underlying technology to change that. What we need is a product manager who can turn it into something an enterprise will use to prepare its people, and that an end user actually wants to engage with, across two connected domains: - Surveys - capturing structured, trustworthy signal at scale: how people feel, how they're performing, and where the gaps are. - Guidance - giving people direction in the moment they need it, live and in context, rather than as a debrief after the fact. Both sit inside the same bet: give organizations proof of readiness, not just proof of attendance. WHAT YOU'LL BE DOING - Owning the multi-quarter strategy for Surveys and Guidance, setting the direction, identifying the right problems to solve, and making the trade-offs needed to deliver against them. - Defining and evolving the success metrics for both domains, and connecting product outcomes directly to commercial results: retention, expansion, and revenue impact. - Getting close to the customers who matter most: understanding how they think, where current tools leave them exposed, and translating that into a product direction others can act on. - Driving a shared understanding of where these product areas are going and why. Engineering, design, R&D, and commercial counterparts should all be able to articulate the strategy and the reasoning behind it. - Producing written narratives, strategy docs, and PRDs, that move decisions forward and give your team the context to build the right thing without a follow-up conversation. - Balancing short-term delivery with long-term product health: scoping to reflect execution risk, hitting milestones predictably, and iterating based on evidence rather than opinion. - Contributing to improvements in product practice across the team, and actively participating in PM hiring. WHO YOU ARE You've owned a critical product domain before, one where the stakes were real and the strategy was yours to set, not just execute. You're comfortable operating with autonomy on the what, not just the how, and you have a track record of connecting product decisions to commercial outcomes. You understand that zero-to-one products in complex domains require you to hold two things at once: the discipline to deliver predictably in the short term, and the judgment to make the right long-term bets while the evidence is still forming. You don't wait for a clean brief. You identify the right problems, form a view, and bring others along. You're a strong written communicator. Engineering and design partners, commercial leads, and senior leadership should all come away from your docs and updates with a clear understanding of where the domain is going and why, without needing to ask. You care about the quality of the experience. Real-time, agentic products are unforgiving, and you hold a high bar for what "good" feels like, for the user in the moment and for the customer looking at outcomes. YOU MAY BE A GOOD FIT IF YOU BRING - Significant experience in product management, with direct experience owning a critical product domain: setting strategy, not just executing it. - A track record of connecting product outcomes to commercial results: ARR, retention, expansion, or equivalent. - Experience with zero-to-one product development in a complex, experience-driven space. You've navigated the ambiguity of a zero-to-one build and have the scar tissue to show for it. - Experience building agentic or AI-powered products. You understand what makes real-time AI interactions feel natural, and what breaks them. - Strong written communication: strategy docs, PRDs, and decision memos that others can act on without a follow-up conversation. - Experience working alongside enterprise buying motions. You'll be close to the commercial team, and that context matters. We encourage you to apply even if you don't meet every point above. Strong candidates rarely match a list exactly, and we'd rather hear from you. LOCATION Flexible, hybrid role based from our London office. OUR CULTURE At Synthesia we’re passionate about building, not talking, planning or politicising. We strive to hire the smartest, kindest and most unrelenting people and let them do their best work without distractions. Our work principles serve as our charter for how we make decisions, give feedback and structure our work to empower everyone to go as fast as possible. You can find out more about these principles here. https://www.notion.so/How-we-work-at-Synthesia-f794caa72f8446efb6be22b551ce0fa2?pvs=21   GLOBAL BENEFITS: - You will be compensated well with a generous salary and equity. - You get 25 days of annual leave + local holidays. - Regular team offsites where you’ll get to collaborate with the product & engineering team in person. - Work from home budget - Work from anywhere policy of 60 days per year - Generous referral scheme - Enhanced parental leave - maternity leave includes 16 weeks at full pay, and paternity leave includes 5 weeks at full pay (if your country’s government scheme offers more generous support, you receive whichever is greater - our enhanced policy or the local statutory benefit)   BENEFITS SPECIFIC TO UK: - Private healthcare via AXA for you with a discount for dependants - 5% pension match - Team lunches Tuesday-Friday in the office - Flexible, hybrid role based from our London office.

Location: Remote - India AI/ML Solution Architect Education & Assessment Platforms About Pratham International Pratham International is a US 501(c)(3) established to support learning innovations for children and youth in contexts across the globe. We enable the adaptation and spread of proven and scalable education solutions pioneered in India by Pratham Education Foundation to contexts across the global south through programming and technical assistance tailored to local realities. Today, Pratham innovations reach millions of children annually through partnerships across ~30 countries. Through the Pratham Shah PraDigi Innovation Centre (PraDigi), Pratham International also seeks to create technology innovations for low-resource communities, and support models aimed at learning for school, work, and life for children and youth. We work on several cutting-edge projects in the domain of Generative AI, Automatic Speech Recognition, and Natural Language Processing. The team’s innovative technology products include the PadhAI: Reading Assessment App, which uses advanced speech recognition to evaluate children’s reading fluency in 8 Indian languages and 6 global languages; Anytime Testing Machine (ATM), an AI-enabled question generation and grading system that allows learners to be assessed on any topic, anytime; and a suite of AI-powered chatbots designed for diverse learning contexts: from early childhood care, to youth employment readiness, and OCR-based analysis tools that digitize and assess student work at scale. At Pratham International, we build for the long term. Whether it’s ensuring products are truly accessible across rural India and the global south through languages, building datasets to ensure context and accuracy for products, or gathering feedback from the field. Backed by partners like Google.org, Anthropic, and the Gates Foundation, we are committed to building digital public goods that ensure every child is in school and learning well. Role Overview About the work We design and deliver AI systems that governments and large education programmes can actually run: curriculum-aligned item generation, paper assembly, handwriting OCR, rubric grading, and teacher-in-the-loop review. The work is already live as practice assessment in India and is being built as a national exam platform in Rwanda, with further country programmes behind it. We are hiring a Solution Architect who sits between discovery and delivery. You will turn messy workshop notes and ministry requirements into architecture a team can build, secure, cost, and operate — RAG and multi-agent systems, LLM-as-judge pipelines, and the cloud/LLMOps layer underneath. You will Own solution design from first workshop to a delivery-ready blueprint (services, data stores, trust boundaries, cost, ops). Architect LLM pipelines: generation, retrieval over curriculum knowledge graphs, standards/duplication/quality judges, constraint-based paper assembly. Design human + AI workflows with audit, segregation of duties, cycle-pinned config, and no student PII in model calls. Choose and govern models, prompts, eval gates, and fallbacks (including OCR: Azure primary, secondary fallback). Shape the Azure/AWS platform: identity, networking, LLMOps/MLOps, observability, and sovereign-hosting constraints. Run client workshops, write POVs and architecture packs, and stay accountable until the system is in production. About the work Pratham International programmes sit at the intersection of pedagogy, public systems, and production AI. The pattern is consistent across countries; the constraints change. Anytime Testing Machine (ATM) — India, practice and feedback End-to-end assessment for real classroom conditions: generate curriculum-aligned items, digitise handwritten answers (often photographed on a phone), grade against rubrics, and return feedback a teacher reviews before it reaches the learner. Built for high pupil–teacher ratios, mixed language (e.g. Hindi + English), and uneven connectivity. Pilots have already reached thousands of learners, including Second Chance (women returning for Grade 10). Model quality is measured against expert golden sets, not vendor slides. National assessment automation A government-grade exam platform. Phase 1 is item authoring and print-ready paper composition before the exam window. Phase 2 is script intake, OCR at national volume, AI-assisted grading with human confirmation on the pilot, results export, and monitoring/evaluation reporting. Subjects span core and elective streams across the curriculum. Design rules that do not exist in a typical SaaS product: cycle-pinned configuration, embargoed papers, hash-chained audit trails, and integration with national student information and assessment management systems. Curriculum knowledge graphs Structured retrieval corpora (concepts + worked examples) that ground generation and judging. This is the standing public-knowledge exception in an otherwise closed exam system, and the seed of a broader education DPI conversation. AI in TaRL and teacher support AI tools that help teachers group and teach by learning level, with an RCT-shaped evidence bar. Same product family: human agency stays in the loop; the model is a capacity multiplier. Country programmes and the three-year direction Adapt the same engine to new ministries, languages, and exam rules (Kenya and other Global South programmes are in scope). The longer bet is a learning and credentialing engine that recognises competence beyond a single syllabus. This is not a chatbot brief. It is constrained generation, retrieval, judging, document AI, workflow, and public-sector operations. Why this role exists Most enterprise AI dies between the workshop and production. We need one person who owns that gap: someone who can sit with NESA, C4IR, Pratham pedagogy, and engineering in the same week, and leave behind a blueprint the delivery team can execute without inventing policy. The target profile is a practising AI/ML Solution Architect — not a pre-sales slide owner, and not an infra-only platform engineer. The person should have done all three of these: Designed GenAI / NLP solutions, PoCs, and client workshops, and can talk to research-grade issues (eval, agent safety, prompt-injection, model-specific behaviour). Owned the AI platform: LLMOps, MLOps, DevSecOps, SRE habits, cloud migration, and FinOps. Taken messy discovery and turned it into Azure-centred RAG and multi-agent designs that a security team will accept. Key Responsibilities Discovery → architecture Lead solution workshops with programme, ministry, and engineering stakeholders. Convert half-formed requirements into service cuts, data stores, sequence diagrams, decision gates, and open-question lists with owners. Write architecture decision records. When the docs disagree (they will), force a decision instead of coding both. AI system design Design LLM jobs as contracts: inputs, JSON schema, temperature, persist prompt hash / model / tokens / latency. Architect generation grounded in structured curriculum blueprints and knowledge-graph retrieval, not "ask the model for a maths paper." Design LLM-as-judge banks (cognitive-level, relevance, difficulty, language, fairness, standards, duplication, blueprint compliance) with thresholds, one-repair rules, and golden-dataset release gates. Design hybrid assembly: constraint solver first, model only on ties and layout exceptions. Design document AI: primary OCR provider, secondary fallback provider, confidence routing, de-identification before any grading call. Specify eval: inter-rater agreement, rubric-band exact match, first-pass item acceptance, cost per paper cycle. Platform, trust, cost Own the reference architecture on the chosen cloud platform(s): identity, RBAC + segregation of duties, private networking, key management, object storage for scans, vector index, data warehouse for monitoring/evaluation reporting. Draw trust boundaries. Student PII never crosses the model gateway. Prompts are curriculum + knowledge-graph + blueprint content only. Put FinOps on the design: token budgets, OCR cost caps, degradation behaviour when a cap is hit, model routing. Specify LLMOps/MLOps: prompt/version registry, eval regression as a release gate, observability, rollback. Design for sovereign hosting and exam-cycle operations (embargo, watermarking, append-only audit, cycle-pinned configuration). Delivery and thought leadership Stay with the build through the first production cycle. Architecture that cannot be implemented is unfinished work. Produce POVs, sequence packs, and workshop artefacts that can be reused in the next country. Mentor tech leads on where the model should stop and the workflow should start. Success in the first two quarters First 30 days — Orient Complete architecture walkthroughs of every live/in-flight system with the current engineering leads; document current state (services, data stores, trust boundaries) as-is, not as-designed Meet every active stakeholder group once: engineering, programme/domain leads, and any external partner or government-side counterpart Inventory all open technical decisions and disagreements in existing specs; log each with current owner (if any) and status Identify the single highest-risk unresolved design question and flag it upward Day 60 — Diagnose Produce a current-state architecture diagram covering every major pipeline: data flow, model/LLM touchpoints, storage, and identity/access boundaries Assign an owner and target resolution date to every open contradiction identified in month 1 Draft a v1 reference architecture for one representative end-to-end workflow: service breakdown, data stores, identity/access model, model gateway placement, and a first-pass cost estimate Day 90 — Commit v1 reference architecture is reviewed and accepted by engineering and relevant stakeholders (not just self-signed) Can walk any core pipeline end-to-end from memory and name every data store, every quality/eval gate, and every trust boundary in it At least one architecture decision record is published for a previously-contested design question, with the decision forced rather than left open A first cost model exists for the reference architecture, with at least one identified lever for reducing spend if usage scales Day 120 — Harden Core pipeline components (generation, retrieval, judging/eval, or equivalent stages for this domain) have documented contracts: defined inputs/outputs, schema, and logged metadata (model, version, cost, latency) An evaluation harness exists for at least one component, with a defined pass/fail threshold A release gate exists that can block a bad prompt, model, or config change from reaching production Day 150 — Extend The next major system phase or capability is specified to the same rigor as the first: trust boundaries, failure modes, fallback behavior, and cost caps documented before build starts FinOps guardrails are in place for at least one production workload: budget ceilings, degradation behavior when a cap is hit, and a routing or fallback strategy Day 180 — Generalize A reusable design pattern or adaptation pack exists, separating what is fixed in the architecture from what varies by deployment context (e.g. language, hosting environment, external-system integration, content/domain rules) At least one engineering or technical lead has been mentored on where model-based logic should stop and deterministic/workflow logic should take over A second production-readiness review (security, cost, or operations) has been passed on a system this person designed or substantially redesigned Qualifications and Experience Must have 8+ years building software or data/AI systems, with recent experience as a Solution Architect, AI/ML Architect, or Principal/Staff Engineer with end-to-end architecture ownership. Shipped at least one production AI/ML system — RAG, multi-agent, LLM-as-judge, or a comparable classical ML/NLP pipeline at scale — that passed a real security, cost, and operations review, not just a pilot or a slide deck. Can produce a delivery-ready architecture blueprint: services, data stores, IAM, failure modes, evaluation strategy, and cost model — detailed enough that engineering isn't guessing at intent. Deep cloud experience on Azure and/or AWS: comfortable defending a landing-zone design, private-endpoint architecture, and a real monthly compute/inference/OCR spend. Fluent in Python, with hands-on experience in both classical ML (model training, evaluation, feature pipelines) and how LLM APIs, embeddings, and vector search actually behave under production load. Comfortable running a room with non-engineers — domain specialists, IT stakeholders, monitoring/evaluation teams — and translating fluently in both directions. Strong written English; this role's output is documentation that functions as a binding technical contract. Strongly preferred Azure AI (AI Foundry / OpenAI / Document Intelligence), plus one of AWS (Bedrock, SageMaker) or GCP (Vertex, BigQuery). LLMOps / MLOps: prompt + model versioning, MLflow or equivalent, eval harnesses, CI that can block a bad prompt. Document AI / OCR at volume; handwriting and low-quality scans, not only clean PDFs. RAG over structured knowledge (graphs, ToS, textbooks) and hybrid search, not only naive chunking. Education, assessment, public sector, or other high-audit domains (health, finance, identity). Certifications: Azure Data Scientist / Azure Solutions Architect; AWS SAA, ML Specialty, or Data Analytics Specialty. Experience with agent security: tool-use limits, DLP on egress, prompt-injection evaluation that is model-specific. FinOps discipline. You have killed a design because it would not survive the token bill. Nice to have Microsoft Fabric, Databricks, Semantic Kernel / Microsoft Agent Framework, MCP (Model Context Protocol) tool integration for agentic workflows. Constraint solvers or exam-blueprint / item-bank systems for automated test assembly. Multilingual generation and feedback, including code-mixed language pairs (e.g. Hindi–English, Spanish–English, or similar). Experience standing up golden/eval datasets with subject-matter experts. Prior work with government data systems, data-sharing agreements, or in-country/sovereign hosting requirements. What this role is not Not a research-only post. Publications help; shipping is the job. Not a pure platform/SRE hire. Infra is part of the design, not the whole design. Not a prompt engineer who hands off “the architecture” to someone else. Not a people manager of a large team on day one — you influence through artefacts and reviews. How we will assess you We value transparency and respect your time. Our hiring process is designed to evaluate both hands-on technical depth and architectural judgment through practical, real-world tasks. Stage 1: Application & Knockout Screening Submit your CV alongside key screening responses Artefact — send two of: architecture note, eval design, runbook, ADR. Slides without decisions do not count. Stage 2: Initial Conversation (30 mins) An introductory screen covering your background, project context and baseline alignment. An opportunity for you to ask questions about our technical roadmap, partner ecosystem, and vision. Stage 3: Practical Take-Home Written Assessment (2–3 hours) Design exercise on a constrained generation + judge + human-review pipeline (we will use a sanitised exam-authoring brief). We want trust boundaries, eval, and cost, not a model-name dump. Stage 4: Deep-Dive Technical & System Architecture Walkthrough Walkthrough of a system you shipped: what failed in review, what you changed, what it costs to run. Stage 5: Final Stakeholder & Vision Alignment Final conversation with key technical leadership and program stakeholders. Employment Details Function: Solutions / Architecture Reports to: Head of Technology / CTO Expected Start Date: Immediate Location: India (remote-first; travel to client workshops as needed) Experience: 8–13 years (strong 6–8 considered if you have shipped production GenAI) Engagement: Full-time Remuneration: Based on candidate’s experience and skillset Flexibility to work across timezones: Our team spans Latin America to Southeast Asia. Early mornings  or late evenings can be a regular part of the rhythm Why join us? Impact at Scale: Your work will directly support the learning journeys of millions of children. With programs active in 31 countries, you will help build Digital Public Goods that bridge the gap for the millions of children across the Global South who still struggle with foundational literacy Innovation at the intersection of Education and Technology: Lead the charge in redefining learning and learning processes through technology. You will contribute to the design and development of cutting-edge learning tools and AI-driven initiatives, ensuring EdTech isn’t just a buzzword, but a scalable solution for global equity. A Culture of Growth and Evidence: At Pratham, we value rigorous testing and continuous learning. You will have the autonomy to experiment with the latest SOTA models, supported by a 5-year strategic roadmap and funding from partners like the Gates Foundation and Anthropic. High-Calibre, Mission-Driven Team: You will work alongside a global team of experts from institutions like MIT, Harvard, and INSEAD. Our alumni have gone on to lead successful startups and international policy shifts, all while remaining dedicated to the goal of “Every Child in School and Learning Well.” Inclusive and Collaborative Environment: Join a diverse team that spans Asia, Africa, and Latin America. We value innovative thinking and local expertise, ensuring that the technology we build is deeply rooted in the realities of the communities we serve. Pratham International is an equal opportunity employer and encourages all qualified people from diverse backgrounds to apply for positions within our organisation, regardless of race, gender, disability or any other status.

Location: Paris, France Workplace: Hybrid We’re a team of experts pushing the limits of what’s possible, united by our common goal to unlock true freedom through digital ownership, making technology accessible for all. We believe in a world where users, creators and enterprises manage their value with ownership and freedom. Our curiosity drives us to innovate, empowering individuals on a global scale. We believe change is constant and our team moves forward as one, with a culture of problem-solving where every employee is empowered and supported to challenge tradition and create solutions. Our mission is simple: to make self-custody accessible and give people the keys to their own financial futures. If you want to make a true impact, we want you to join us at Ledger. At Ledger, we’re proud to be the global platform for digital assets and Web3, with over 20% of the world’s crypto assets secured through our Ledger devices. With our headquarters in Paris, and offices in Vierzon, Grenoble, Montpellier, London, Portland, Geneva, Zurich and Central Singapore, we have a team of around 600 professionals developing a variety of products and services to enable individuals and companies to securely buy, store, swap, grow and manage crypto assets – including the Ledger hardware wallets line with more than 7.5 millions units already sold in 200 countries. The team: You'll join the Data Team, responsible for turning data into actionable insights and recommendations for our consumer sales and marketing operations across all channels. What you’ll be doing: - Own consumer sales analytics end to end: Ledger.com http://Ledger.com, Amazon, wholesale and resellers, from sell-in to sell-out, with one consistent view of revenue, units and margin - Measure the true incremental impact of pricing, promotions and marketing campaigns with rigorous causal methods and experiments, and turn the results into budget recommendations for the Growth team - Develop and improve data models (dbt/Snowflake) across varied data sources (sales, sell-out, marketing, web analytics) with the support of the data engineering team; co-own data quality alerting - Own performance marketing measurement (attribution, ROAS, CAC), reconciling ad platforms, GA4 and internal sales data into a single source of truth - Build and maintain Tableau dashboards that give business teams a clear, reliable view of their performance - Model customer value (LTV, repurchase behavior, services attach) and feed it back into marketing ROI decisions - Work as part of an AI-augmented team: use LLM-based workflows and AI agents daily to automate analyses and accelerate delivery - Create and deliver presentations that turn complex analyses into clear recommendations for stakeholders up to ExCom level What we’re looking for: - Proven hands-on data science experience applied to business decisions: you have run causal inference studies (CausalImpact, difference-in-differences, synthetic control, geo-experiments) and/or built predictive models (LTV, repurchase, propensity) whose results changed a budget or pricing decision - Strong statistical rigor: comfortable with experiment design, confidence intervals and power, and able to clearly say when a result shows no detectable effect - 2 to 4 years of experience in data analytics, analytics engineering or data science - Strong SQL - dbt skills are a plus - Tableau skills are a strong plus - Data driven and business oriented; able to challenge stakeholders' methodology - Familiarity with marketing/web analytics data: GA4, ad platforms (Google Ads, Amazon Ads), affiliation networks are a strong plus At Ledger, we are dedicated to continually investing in our employees which is why we offer more than just salaries; we provide comprehensive compensation packages that include a wide range of benefits. Here are some of the benefits you can look forward to: - Flexible work options - Our hybrid policy allows employees to work from home up to 3 times per week - Health & Wellness support - Health and Life Insurance. - Financial growth opportunities - Employees can become shareholders in Ledger as well as other financial benefits depending on your country of work. - Commuter allowance - Ledger offers a commuter allowance to contribute to your preferred means of transportation. - Learning & Development - A comprehensive suite of training solutions providing a personalised learning experience for every employee. For regionally specific benefits, your Talent Acquisition contact will be able to provide you with more information.   We’re committed to building an inclusive hiring process. If you need any adjustments or accommodations, just let us know, we’ll do our best to support you.

Location: Global Remote Workplace: Remote Hi! This is the Flipper team. We are the creators of Flipper Zero https://flipper.net/ — a portable device for tech enthusiasts and engineers. It's a gadget with an awesome community that brings together millions of people around the world. We are currently developing a new product — the BUSY Bar https://busy.app/ productivity multitool. It's a smart device that helps you stay focused and minimize distractions. We're looking for a Senior QA Engineer (IoT / Embedded & Cloud) to design and own test coverage for complex E2E scenarios spanning firmware, cloud services, and mobile applications, ensuring reliable interaction between devices, backend systems, and apps. Responsibilities - Design E2E test coverage across firmware, cloud, and mobile applications to verify device state, data consistency, and end-to-end behavior - Test device-to-cloud communication, including network failures, reconnections, timeouts, offline operation, and OTA update and rollback scenarios - Test cloud and local APIs, business logic, data validation, and error handling to ensure reliable behavior across integration scenarios - Analyze device and cloud logs to diagnose issues, verify command execution, and identify anomalies across system components - Build test data and configuration strategies for different device types, users, environments, and complex scenarios involving multiple devices - Identify and prioritize E2E scenarios for automation, define test specifications for automation engineers, and maintain stable smoke and regression testing processes Requirements - Strong QA experience with complex software products and the ability to design test coverage across firmware, backend APIs, and mobile applications - Strong requirements analysis and systems thinking, with the ability to identify dependencies and integration points across devices, cloud services, and applications - Hands-on experience testing REST or gRPC APIs using tools such as Postman, Swagger, or existing automated tests - Experience analyzing device logs such as UART or syslog and cloud logs using tools such as Kibana or Sentry, with a basic understanding of embedded systems architecture - Experience testing native or cross-platform mobile applications that interact with devices via BLE or Wi-Fi and cloud services - Experience working in Agile/Scrum environments, building QA processes, managing test artifacts in Jira, Confluence, TestRail, Qase, or TestOps, and defining scenarios for test automation - English proficiency sufficient for reading technical documentation and communicating with an international team Nice-to-haves - Experience testing IoT or smart devices, including OTA updates, connectivity loss and recovery, and offline operation - Basic Python or JavaScript skills for creating simple test utilities, generating test data, parsing logs, or understanding automated tests - Experience with device simulators or emulators, network traffic analysis tools such as Wireshark or tcpdump, or security testing of device-to-cloud integrations What we offer - Choose your work format: office, hybrid, or fully remote from anywhere in the world - You will be provided with all the necessary equipment for a comfortable working environment - Benefits such as VHI, corporate sports, foreign language courses, and therapy sessions - A five-day workweek with a flexible start of the working day

Location: Clarksville, TN Step into the innovative world of LG Electronics. As a global leader in technology, LG Electronics is dedicated to creating innovative solutions for a better life. Our brand promise, 'Life's Good', embodies our commitment to ensuring a happier life for all. We have a rich history spanning over six decades and a global presence in over 290 locations.  Our diverse portfolio includes Home Appliance Solutions, Media Entertainment Solutions, Vehicle Solutions, and Eco Solutions.  Our management philosophy, "Jeong-do Management," embodies our commitment to high ethical standards and transparent operations. Grounded in the principles of 'Customer-Value Creation' and 'People-Oriented Management', these values shape our corporate culture, fostering creativity, diversity, and integrity. At LG, we believe in the power of collective wisdom through an inclusive work environment.  Join us and become a part of a company that is shaping the future of technology.  At LG, we strive to make Life Good for Everyone. Pay $20 per hour Key Responsibilities: Manage the movement of product through the production area Ensure that standard operating procedures and engineering procedures are followed and that all work is done in compliance to ensure maximum quality Assist in leading and developing a high performance team Assist in efforts to increase employee satisfaction and strengthen employee culture Provide effective guidance to achieve the required quality and production goals Ensure that product is in the process at all times. Plan and organize work for efficient operations. Achievement of daily, monthly and annual team targets Promotes a safe working environment and monitors compliance activities to support the safety program Education and Experience: High School diploma or equivalency. Manufacturing experience required 1+ year line lead experiences required Knowledge and skills (general and technical): Ability to meet deadlines and be accountable for quality/quantity Excellent interpersonal and communication skills • Able to work a flexible schedule, including weekday and weekend overtime Benefits Offered Full-Time Employees: No-cost employee premiums for you and your eligible dependents for competitive medical, dental, vision and prescription benefits. Auto enrollment with immediate vesting of competitive company matching contributions in a 401(k) Retirement Savings Plan with several investment options. Generous Paid Time Off program that includes company holidays and a combined bank of paid sick and vacation time. Performance based Short-Term Incentives (varies by role). Access to confidential mental health resources to help you and your loved ones improve your quality of life. Personal fitness goal incentives. Family orientated benefits such as paid parental leave and support for families raising children with learning, social, behavioral challenges, or developmental disabilities. Group Rate Life and Disability Insurance. Benefits Offered Temporary/Contractors: Eligible for the relevant benefit programs offered through our partner agencies. Privacy Notice to California Applicants Applicants who need assistance or a reasonable accommodation during the hiring process may contact our team by phone at: 973-477-7090 or support@lg4me.freshdesk.com. This email and phone number will only reply to accommodation requests and is not intended for general employment inquiries. All qualified applicants will be considered for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, protected veteran status, or any other characteristic protected by applicable federal, state, or local law. In addition to the above, LG believes that pay transparency is a key part of diversity, equity, and inclusion. Our salary ranges take into account many factors in making compensation decisions including but not limited to skillset, experience, licensure, certifications, internal equity, and other business needs. While we consider geographic pay differentials in final offers, because we operate in many geographies where applicable, the salary range listed may not reflect all geographic differentials applied .

Location: United States Workplace: Remote BUILDING THE FUTURE OF OPEN FINANCE Payward - the parent company behind Kraken, NinjaTrader, Breakout, xStocks, Payward Services and CF Benchmarks - has spent the last 15 years building one of the most modern and globally accessible financial infrastructure platforms in the industry, built to advance an open, global financial system. PROOF OF WORK   THE TEAM Founded in 2011, Kraken is one of the world's longest-standing crypto platforms, trusted by over 10 million individuals and institutions across the globe. It offers spot trading, margin, futures, staking, and OTC services, with products built for both individual investors and institutional clients. The Agent Systems team is a 0→1 engineering group building internal AI-powered agents that interact directly with company systems. The mandate is to dramatically increase internal speed of execution through automation, intelligent inference, and workflow orchestration. This team operates at the intersection of AI, backend systems, and applied product engineering. The work is pragmatic and fast-moving — prototypes are expected, but the bar for production reliability remains high. Engineers on this team move fluidly between experimentation and shipping, building systems that reason over user interactions and take meaningful action across internal tools. You’ll work closely with cross-functional partners across product, infrastructure, and internal operations to deploy agent-driven capabilities that compound leverage across the organization.   THE OPPORTUNITY - Build and ship AI-powered agent systems that automate internal workflows and decision paths - Design and implement inference pipelines that reason over user interactions across internal systems - Prototype quickly to validate agent behaviors, then productionize what proves valuable - Architect backend services that integrate with multiple internal APIs and data sources - Define patterns for safe, observable, and controllable agent execution - Collaborate cross-functionally to identify high-leverage automation opportunities - Improve system speed, reliability, and signal quality as usage scales - Contribute to foundational design decisions for a 0→1 agent platform   SKILLS YOU SHOULD HODL - 5+ years of experience building and shipping production software systems - Strong backend engineering fundamentals (APIs, distributed systems, data modeling, reliability) - Experience building fullstack systems, with comfort working across backend and occasional frontend surfaces - Hands-on experience working with AI/ML systems, LLMs, or inference pipelines in production - Ability to prototype rapidly while maintaining a clear path to production-grade architecture - Strong systems thinking — able to reason about orchestration, failure modes, and observability - Comfort operating in ambiguous, 0→1 environments with high ownership   NICE TO HAVES - Experience building or operating agent-based systems or autonomous workflows - Familiarity with prompt engineering, evaluation frameworks, or model performance tuning - Experience integrating with internal enterprise systems (CRM, support tools, analytics platforms, etc.) - Background in building developer platforms or internal tooling - Experience designing guardrails, sandboxing, or safety layers for AI systems Unless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis. Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution. We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance. OUR COMMITMENT Payward is powered by people from around the world and we celebrate the diverse talents, backgrounds, contributions, and unique perspectives that everyone brings to the table. We hire based on merit, seeking out people with the right abilities, knowledge, and skills for the job. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgeable about crypto. We may ask candidates to complete job-related skills or work-style assessments as part of our hiring process. These assessments evaluate competencies relevant to the role and are applied consistently across candidates for similar positions. Results are considered alongside experience and interviews, and are not the sole basis for any employment decision. As an equal opportunity employer, we don't tolerate discrimination or harassment of any kind, whether based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status, or any other protected characteristic as outlined by federal, state, or local laws. Stay connected Follow us on X https://twitter.com/krakenfx Learn on the Kraken Blog https://blog.kraken.com/#:~:text=Enter%20your%20email%20address Connect on LinkedIn https://www.linkedin.com/company/kraken-exchange/ Candidate Privacy Notice https://www.kraken.com/legal/candidate-privacy-notice

Location: United Kingdom; Brazil; United Arab Emirates; Ireland; Peru; Sweden; Colombia; Argentina; Romania; Cyprus; Switzerland; Portugal; Lithuania; South Africa; Czech Republic; Canada; Hungary; Mexico; Chile; Poland; Spain; Bulgaria Workplace: Remote BUILDING THE FUTURE OF OPEN FINANCE Payward - the parent company behind Kraken, NinjaTrader, Breakout, xStocks, Payward Services and CF Benchmarks - has spent the last 15 years building one of the most modern and globally accessible financial infrastructure platforms in the industry, built to advance an open, global financial system. PROOF OF WORK   THE TEAM Founded in 2011, Kraken is one of the world's longest-standing crypto platforms, trusted by over 10 million individuals and institutions across the globe. It offers spot trading, margin, futures, staking, and OTC services, with products built for both individual investors and institutional clients. The Agent Systems team is a 0→1 engineering group building internal AI-powered agents that interact directly with company systems. The mandate is to dramatically increase internal speed of execution through automation, intelligent inference, and workflow orchestration. This team operates at the intersection of AI, backend systems, and applied product engineering. The work is pragmatic and fast-moving — prototypes are expected, but the bar for production reliability remains high. Engineers on this team move fluidly between experimentation and shipping, building systems that reason over user interactions and take meaningful action across internal tools. You’ll work closely with cross-functional partners across product, infrastructure, and internal operations to deploy agent-driven capabilities that compound leverage across the organization.   THE OPPORTUNITY - Build and ship AI-powered agent systems that automate internal workflows and decision paths - Design and implement inference pipelines that reason over user interactions across internal systems - Prototype quickly to validate agent behaviors, then productionize what proves valuable - Architect backend services that integrate with multiple internal APIs and data sources - Define patterns for safe, observable, and controllable agent execution - Collaborate cross-functionally to identify high-leverage automation opportunities - Improve system speed, reliability, and signal quality as usage scales - Contribute to foundational design decisions for a 0→1 agent platform   SKILLS YOU SHOULD HODL - 5+ years of experience building and shipping production software systems - Strong backend engineering fundamentals (APIs, distributed systems, data modeling, reliability) - Experience building fullstack systems, with comfort working across backend and occasional frontend surfaces - Hands-on experience working with AI/ML systems, LLMs, or inference pipelines in production - Ability to prototype rapidly while maintaining a clear path to production-grade architecture - Strong systems thinking — able to reason about orchestration, failure modes, and observability - Comfort operating in ambiguous, 0→1 environments with high ownership   NICE TO HAVES - Experience building or operating agent-based systems or autonomous workflows - Familiarity with prompt engineering, evaluation frameworks, or model performance tuning - Experience integrating with internal enterprise systems (CRM, support tools, analytics platforms, etc.) - Background in building developer platforms or internal tooling - Experience designing guardrails, sandboxing, or safety layers for AI systems       Unless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis. Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution. We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance. OUR COMMITMENT Payward is powered by people from around the world and we celebrate the diverse talents, backgrounds, contributions, and unique perspectives that everyone brings to the table. We hire based on merit, seeking out people with the right abilities, knowledge, and skills for the job. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgeable about crypto. We may ask candidates to complete job-related skills or work-style assessments as part of our hiring process. These assessments evaluate competencies relevant to the role and are applied consistently across candidates for similar positions. Results are considered alongside experience and interviews, and are not the sole basis for any employment decision. As an equal opportunity employer, we don't tolerate discrimination or harassment of any kind, whether based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status, or any other protected characteristic as outlined by federal, state, or local laws. Stay connected Follow us on X https://twitter.com/krakenfx Learn on the Kraken Blog https://blog.kraken.com/#:~:text=Enter%20your%20email%20address Connect on LinkedIn https://www.linkedin.com/company/kraken-exchange/ Candidate Privacy Notice https://www.kraken.com/legal/candidate-privacy-notice

Location: Paris; Amsterdam; Linz; Munich; London; Berlin Workplace: Remote ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. ABOUT THE JOB Mistral AI is looking for a Domain Expert in crashworthiness simulations to help build AI-accelerated simulation capabilities for industrial engineering. You will work at the intersection of industrial simulation, physics modeling, machine learning, and engineering workflows. Your role is to bring deep solid-mechanics expertise into the design, training, evaluation, and deployment of AI Physics Models for real engineering use cases. This is a hands-on technical role. We are looking for someone who understands industrial structural simulation not only conceptually, but through direct experience with simulation models, solver workflows, data generation, validation, and engineering decision-making. You will work with research, product, and customer-facing teams to ensure that our models are useful against real engineering standards — not only benchmark metrics. Relevant application areas may include automotive crashworthiness, aerospace structures, consumer-electronics drop/reliability, manufacturing, durability/fatigue, and other nonlinear structural mechanics problems. WHAT YOU WILL DO - Work with our research team to define, generate, and iteratively improve simulation datasets for training and evaluating crashworthiness foundation models, balancing coverage of relevant physical scenarios, simulation fidelity, and computational cost. - Design and run high-fidelity simulation campaigns using structural mechanics solvers such as Abaqus, LS-DYNA, Ansys Mechanical, Radioss or equivalent tools. - Define the relevant variation space for training data: geometry, mesh resolution, material behavior, boundary conditions, loading, contact, joints, failure modes, and engineering KPIs. - Build or guide automated pipelines for simulation setup, execution, post-processing, dataset creation, and model evaluation. - Work with research teams to train and evaluate AI models on simulation data, and diagnose failure modes caused by data gaps, poor coverage, numerical artifacts, or model limitations. - Evaluate model outputs against industrial engineering needs, including field-level accuracy, scalar KPIs, deformation modes, load paths, energy absorption, stress/strain fields, failure indicators, uncertainty, and out-of-domain behavior. - Work with industrial customers to understand their simulation workflows and engineering priorities, define use cases and success criteria, and incorporate their feedback into model development and validation. ABOUT YOU - You have deep expertise in crashworthiness, solid mechanics, and structural mechanics, with substantial experience in industrial simulation workflows. - You have a Master’s degree or equivalent technical depth in mechanical engineering, aerospace engineering, civil/structural engineering, computational mechanics, applied physics, or a related field. - You have 4+ years of relevant industrial experience (or PhD +1 years) in domains such as automotive, aerospace, and consumer electronics. - You have hands-on experience with explicit dynamics for crash or impact simulation and understand nonlinear FEM and related topics such as contact, plasticity, structural dynamics, buckling, material modeling, fracture/damage, fatigue, crashworthiness, or durability. - You have direct experience with simulation validation, correlation, model quality, numerical sensitivity, and engineering KPI definition. - You are a strong Python developer who can build and maintain reliable tools for simulation automation, data processing, and model evaluation. You apply sound software engineering practices, including version control with Git, automated testing, code review, and clear documentation. - You have hands-on experience working in Linux and HPC environments, including submitting and monitoring batch jobs, selecting appropriate compute resources, and troubleshooting simulation workflows. You can run simulation campaigns efficiently across a compute cluster. - You are comfortable operating in ambiguous technical environments and turning poorly defined industrial problems into scoped datasets, experiments, metrics, and execution plans. - You communicate clearly with both deep technical experts and non-specialist stakeholders. IT WOULD BE GREAT IF YOU - Have experience applying machine learning, surrogate modeling, reduced-order modeling, optimization, or data-driven methods to simulation problems. - Have contributed to reusable internal tools, open-source code, simulation automation frameworks, or production-quality engineering workflows. - Have experience working directly with industrial customers, product teams, or engineering decision-makers. - Have publications, patents, internal technical leadership, or recognized contributions in engineering, simulation, computational mechanics, or ML-for-physics communities. WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.