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Location: San Francisco, CA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's Safeguards organization builds the policies, evaluations, and enforcement systems that keep our models from contributing to catastrophic harm. We are hiring a manager to lead the research engineering team responsible for biological safety: the evaluations, datasets, and classifiers that govern how our models handle biological knowledge. You will lead a team of research scientists and engineers who design and run capability evaluations against frontier models, curate training data for our safety classifiers, train and iterate on those classifiers alongside our ML engineers, and measure how they hold up against adversarial pressure in production traffic. You will set the technical direction for that work, decide where the team invests, and own the results. This is a hands-on management role. Most of your time goes to growing and directing the team, but you will keep enough technical depth to review an eval design, interrogate a classifier's failure modes, and represent the work credibly to Research, Product, and Policy partners. The core tension your team owns is precision: safeguards need to be robust against sophisticated actors while staying out of the way of the far larger population of legitimate researchers using Claude to accelerate life sciences work. Getting that tradeoff right is an empirical problem, and your team is the one measuring it. Key responsibilities Manage, coach, and grow a team of research scientists and engineers working on biological safety evaluations and classifiers, including hiring, onboarding, performance, and career development Set the technical direction and roadmap for the biological safety research agenda, and make the calls about what the team builds, what it deprioritizes, and when a safeguard is ready to ship Own the quality of capability evaluations that assess what new models can do in the biological domain, and turn results into deployment recommendations that leadership can act on Guide the development of training and evaluation datasets for our safety classifiers, working with internal and external threat modeling experts to ground them in realistic risk Oversee the training and iteration of safety classifiers alongside ML engineers, optimizing jointly for adversarial robustness and low false-positive rates Ensure the team invests in the tooling and pipelines that make evaluation and classifier development fast and repeatable Establish how the team measures classifier and eval performance against production traffic, identifies gaps, and prioritizes improvements Direct red-teaming and stress-testing of safeguards as threats, models, and product surfaces evolve Partner with Research, Product, Policy, and government affairs colleagues to embed biological safety throughout the model development lifecycle, and serve as an escalation point for biological content Represent the team's work in external communications including model cards, blog posts, and policy documents Track developments in biology, machine learning, and biosecurity for their potential to create new risks or enable new mitigations Minimum qualifications Experience managing a technical team, including hiring, coaching, and performance management A record of setting technical direction for a team and making prioritization calls under uncertainty Proficiency in Python, with a background in scientific programming and data analysis A solid grasp of ML fundamentals, sufficient to critically review evaluation design and classifier development Knowledge of modern biology across both measurement and engineering: high-throughput assays and functional characterization, as well as gene synthesis, genome editing, strain construction, and protein engineering Experience designing quantitative experiments or evaluations and drawing defensible conclusions from noisy results Clear analytical and writing skills, and the ability to explain technical concepts to non-technical stakeholders Familiarity with dual-use research concerns and biosecurity frameworks, such as select agent regulations, the Biological Weapons Convention, or Australia Group guidelines Comfort with ambiguity and with shifting priorities as AI capabilities change Motivation to prevent misuse without obstructing the beneficial work that makes up the vast majority of this field Preferred qualifications 3+ years of people management experience, ideally leading research scientists, research engineers, or ML engineers Experience building a team or function from a small headcount, including defining scope, hiring the first few people, and establishing how the team works At least 8 years of hands-on experience in life sciences, with deep expertise in areas such as molecular biology, drug discovery, or computational biology Experience working with large language models, including prompting, fine-tuning, or evaluation Experience training or deploying classifiers or other ML systems in production, and comfort reasoning about precision and recall for rare, high-consequence categories where the base rate is very low Experience developing ML methods for biological systems or biological data Familiarity with adversarial robustness, red-teaming, or safety evaluation of ML systems Experience leading complex technical projects across multiple stakeholder groups 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: $405,000 — $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. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA | New York City, NY | Washington, DC About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Safeguards Enforcement Lead on the User Well-Being team, you will be responsible for managing our child safety, mental health, abuse and exploitation, and age assurance enforcement workflows. This will include managing the team responsible for scaling, maintaining, and continuously improving the systems and processes we use to detect and respond to these harms. This is a management role. You will serve as the central point of contact for those who conduct content review, managing day-to-day workflows, quality assurance, and escalation processes. You will also work closely with internal Engineering, Policy, and Legal teams to scale detection systems and close enforcement gaps as the threat landscape evolves. Important context for this role: In this position you will regularly be exposed to and engage with explicit content of a sexual nature involving minors, as well as content that may be violent or psychologically disturbing. Anthropic takes the wellbeing of team members working in this area seriously and provides access to wellness resources and support. Candidates should carefully consider this aspect of the role before applying. Key responsibilities Manage a team of individual contributors across multiple policy areas under the User Well-Being banner Serve as the primary point of contact for review partners conducting content review, including onboarding, training, quality assurance, and ongoing relationship management Design and improve enforcement workflows to scale effectively as volume grows, while maintaining high accuracy and consistency across review decisions Partner with Engineering and Data Science teams to optimize detection models and automated enforcement systems for User Well-Being policies Develop and maintain internal documentation, decision trees, and review guidelines that enable accurate and consistent enforcement at scale Keep up to date with emerging AI policy enforcement best practices, evolving legal frameworks, and developments in technology, and use these to inform our workflows Identify and report trends in misuse patterns to internal stakeholders, including Policy, Legal, and Trust & Safety leadership Coordinate reporting obligations to relevant external bodies (e.g., NCMEC) in accordance with applicable law and Anthropic policy Minimum qualifications Experience managing teams in the User Well-Being space Experience in trust & safety, content moderation operations, or policy enforcement with direct exposure to child safety, mental health, abuse and exploitation, and age assurance harm areas Experience managing or coordinating content review operations, including quality assurance and workflow management Experience standing up and scaling policy enforcement or content review workflows Proficiency in SQL and/or other data analysis tools to monitor workflow health, review queue metrics, and surface enforcement trends Experience identifying emerging risks and communicating findings to cross-functional stakeholders, such as Product, Policy, Engineering, and Legal teams Understanding of the challenges involved in implementing product policies at scale in the content moderation space Preferred qualifications Deep subject matter expertise in child safety, child sexual exploitation and abuse (CSEA), online child protection, mental wellness, and age assurance Experience working with or reporting to NCMEC, IWF, or equivalent child safety reporting bodies Familiarity with relevant legal and regulatory frameworks, including CSAM reporting obligations, KOSA, COPPA, or equivalent international frameworks Experience working with generative AI products, including an understanding of how AI systems can be misused to generate or facilitate abusive content Experience designing or evaluating trauma-informed support structures and wellness protocols for content reviewers working with harmful material Proficiency in Python for workflow automation or data analysis Experience working with hash-matching technologies (e.g., PhotoDNA, CSAI Match) or perceptual hashing tools used in CSAM detection Familiarity with age assurance technologies and their role in child safety enforcement 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: $285,000 — $330,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA | New York City, NY | Washington, DC About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Safeguards Enforcement Analyst focused on Conventional Weapons, your work spans detecting and mitigating attempts to misuse Anthropic's AI systems to facilitate real-world harm, specifically utilizing conventional weapons and dangerous technology. You will be responsible for building and executing operational workflows to assess model behavior, drive enforcement decisions, and develop evals across a technically demanding range of policy areas. Important context for this role: In this position you may be exposed to and engage with explicit content spanning a range of topics, including those of a violent, graphic, hateful, or psychologically disturbing nature. Key responsibilities Design and architect automated enforcement systems and review workflows that scale effectively while maintaining high accuracy Develop and maintain evals that measure model performance on these policy areas, surface regressions, and inform policy and model improvements Partner with Engineering and Data Science to optimize detection and automated enforcement systems for potential policy violations Review flagged content to drive enforcement decisions and surface policy gaps, with particular attention to novel or technically sophisticated misuse attempts + emerging tactics Support the Safeguards policy design team by providing structured feedback on policy gaps and enforcement ambiguities based on real enforcement scenarios Develop and maintain enforcement guidelines and reviewer documentation that enable accurate, consistent enforcement across a wide range of content Keep up to date with emerging weapons trends and applications, regulatory changes, and AI policy enforcement best practices, and apply these to inform our workflows and evals Identify and escalate emerging misuse patterns, novel attack vectors, and signs of coordinated violent activity Minimum qualifications Have deep, applied expertise in weapons systems and can translate complex technical evidence to make enforcement decisions Experience in policy enforcement, threat intelligence, counterterrorism, government, or a closely related field, with direct exposure to harmful content, dangerous technology, or physical harm facilitation Experience standing up and scaling policy enforcement or content review workflows Proficiency in SQL and/or other data analysis tools to draw insights from large datasets and monitor enforcement workflow health Experience identifying emerging risks and threat actors, and communicating findings to a diverse set of stakeholders, such as Product, Policy, Engineering, and Legal teams Experience working with generative AI products, including writing effective prompts for content review and enforcement Understanding of the challenges involved in implementing product policies at scale, including in the content moderation space Preferred qualifications Subject matter expertise in conventional weapons and dangerous technology, autonomous systems, or critical infrastructure protection Familiarity with relevant legal and regulatory frameworks governing dangerous technology, conventional weapons, and critical infrastructure Experience developing evals or red-teaming AI systems, particularly for harmful content or policy enforcement use cases Experience with threat actor profiling and threat intelligence frameworks (e.g., MITRE ATT&CK) Experience tracking threat actors, extremist networks, or misuse patterns across surface, deep, and dark web environments Experience with large language models and an understanding of how AI technology could provide meaningful uplift toward serious harm Proficiency in Python for data analysis and workflow automation Background in law enforcement, national security, defense, counterterrorism, or a relevant regulatory environment Experience assessing the technical plausibility and real-world harm potential of content, including the ability to distinguish between general educational content and genuine operational uplift, and between protected speech and genuine incitement/mobilization Familiarity with cross-platform threat analysis and OSINT techniques 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: $245,000 — $330,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: India; Singapore ClickHouse is on a mission to grow a vibrant user community and establish ourselves as a cloud-first company. We are seeking an experienced Solutions Architect Leader to continue to build, lead, and scale our Solutions Architecture function across India/ASEAN. This is a pivotal role for someone who thrives at the intersection of technical leadership, customer impact, and team development. Joining at an exciting stage following the general availability of our serverless ClickHouse Cloud product, you will play a key role in shaping how ClickHouse is positioned, adopted, and scaled across the region. You will lead a growing team of Solutions Architects while remaining close to customers, partners, and the field. What You'll Be Doing - Lead, mentor, and scale the India & ASEAN Solutions Architecture team, setting technical standards, best practices, and a strong customer-first culture. - Partner closely with Sales, Product, and Engineering leadership to drive successful outcomes across enterprise and commercial customers. - Serve as a senior technical advisor to customers, engaging at all levels from C-suite stakeholders to architects, data engineers, and developers. - Translate complex business and technical requirements into scalable, cloud-native solution designs, including architecture, migrations, workflows, and data visualisation. - Guide and support high-impact proofs of concept (POCs) and reference architectures that accelerate adoption and expansion. - Evangelise ClickHouse's vision, architecture, and value proposition across the APJ market, including participation in executive briefings, events, and community initiatives. - Drive regional initiatives that help customers transform raw data into actionable insights aligned with clear business outcomes. - Provide feedback from the field to inform product strategy, roadmap priorities, and go-to-market execution. What You Bring - Significant experience in Solutions Architecture, Sales Engineering, or a similar customer-facing technical leadership role, with prior people management experience. - Strong background working with open-source software business models and cloud-first technologies. - Hands-on experience designing and supporting scalable, highly available distributed systems. - Proven ability to balance strategic leadership with hands-on technical engagement when needed. - Excellent communication and stakeholder management skills, with the ability to bridge business goals and technical solutions. - Experience operating in fast-growing, high-change environments and building teams from early stages. Bonus Points For - Experience deploying applications or selling into environments with major cloud providers (AWS, GCP, Azure). - Familiarity with database technologies, data modeling, and analytical workloads. - Prior experience supporting multiple countries or regions within APJ. PERKS - Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries. - Healthcare - Employer contributions towards your healthcare. - Equity in the company - Every new team member who joins our company receives stock options. - Time off - Flexible time off in the US, generous entitlement in other countries. - A USD$500 Home office setup if you’re a remote employee. - Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites. CULTURE - WE ALL SHAPE IT As part of a rapidly scaling start-up, you will be instrumental in shaping our culture. Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse. EQUAL OPPORTUNITY & PRIVACY ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.

Location: San Francisco Workplace: Hybrid ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE Baseten is building the infrastructure layer for AI — and we're now building the team that will scale how we take it to market. This is a foundational hire on our GTM Strategy & Revenue Operations team, sitting at the intersection of strategic planning and field execution.   You'll work directly with the CRO, Head of Revenue Operations and partner closely with Finance, field leadership, and our Central Ops team. On any given week, you might be refining our pipeline generation model, building a territory coverage analysis, designing a new GTM motion, or partnering with a regional leader to understand what's driving a trend in their pipeline. This role requires someone who can think rigorously, build things from scratch, and operate with speed and judgment in an environment where the playbook is still being written.   This is a rare opportunity to be an early GTM strategy and operations hire at one of the fastest-growing companies in AI infrastructure — and to help define how we scale.   WHAT YOU'LL DO GTM Planning, Target Setting & Market Intelligence - Contribute to the annual and quarterly GTM planning process in partnership with Finance, including headcount modeling, ramp assumptions, and revenue target-setting - Build and maintain coverage models aligned to 2-year growth projections, incorporating territory design, account segmentation, and capacity planning - Support quota framework development, helping translate top-down targets into field-level plans that are credible and motivating - Develop and maintain Baseten's segmentation logic: how we carve the market by industry, company profile, consumption potential, and AI maturity - Contribute a point of view on competitive dynamics, regional expansion priorities, and whitespace opportunities - Partner with Central Ops on ICP and TAM database strategy to ensure segmentation is grounded in clean, enriched data - Translate data into a clear business narrative for leadership and the field; democratize insights so the revenue org can self-serve Pipeline Generation & Forecast - Contribute to the design of the pipeline generation model: coverage ratios, qualified pipeline definitions, and input assumptions - Support the PG cadence: track actuals vs. model, surface gaps early, and partner with field leadership to course-correct - Play an active role in the weekly forecast process, helping build the business narrative that connects leading indicators to revenue outcomes - Build and maintain the analytics layer that powers GTM decision-making, from pipeline dashboards to cohort analyses to efficiency metrics Field Execution & Plan Refinement - Partner with the field to identify gaps in the business and develop structured plans to address them, supporting real-time actions as well as insights to guide QBRs, pipeline reviews, etc. - Analyze regional pipeline health, win/loss trends, and rep productivity to proactively surface insights that feed back into refining the GTM plan - Contribute to execution optimization projects: improving the sales process, post-sale journey, and conversion at key funnel stages - Close the loop between what's happening in the field and what needs to change in the plan New Motions & Experimentation - Support the design and execution of structured experiments to test new GTM approaches: new segments, new channels, new acquisition or expansion motions - Help build the measurement framework to evaluate what's working and create a clear path to scaling what wins - Partner with RevOps and Central Ops to operationalize successful experiments into repeatable playbooks   REQUIREMENTS Experience - 3-5 years in GTM strategy, revenue operations, sales strategy, or a related function, ideally at a high-growth B2B SaaS or infrastructure company - Experience with consumption-based or usage-based business models strongly preferred; you understand the difference between ARR and revenue, and how to think about drawdown, expansion, and net retention - Exposure to a company scaling through a Series B-D inflection point a plus; you have a sense of what good looks like and what breaks as you grow - Background in consulting and/or banking / finance a plus Skills - Exceptional analytical chops: you can build a coverage model, a cohort analysis, and a leadership-ready forecast narrative, and you know which one the moment calls for - Strong business judgment: you don't just surface data, you tell people what it means and what to do about it - Structured thinker and clear communicator: you can take a complex GTM problem, break it down, and present a crisp recommendation to a senior audience - Hands-on builder: comfortable working in AI coding tools, spreadsheets, BI tools, SQL, and CRM systems; you don't wait for someone else to pull the data - Collaborative operating style: you work across functions (Finance, field leadership, Central Ops, Enablement) and know how to get things done without formal authority - AI Fluency: you actively use AI tools to drive your own productivity, in how you analyze data, structure problems, draft communications, and accelerate your work Mindset - Comfortable with ambiguity; you can define the problem before solving it - Bias toward action — you'd rather ship something good and iterate than wait for perfect - Curious about the AI infrastructure market; you want to understand what we sell, who buys it, and why   WHY BASETEN - Be a foundational member of the GTM team at one of the most important companies in the AI infrastructure space - Work on problems that are genuinely hard and genuinely new — consumption-based GTM at AI scale doesn't have an existing playbook - High ownership, high visibility, direct access to leadership - Competitive compensation, equity, and benefits BENEFITS - Competitive compensation, including meaningful equity - (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!) - Paid parental leave - Fertility and family-building stipend through Carrot - (U.S. only) Company-facilitated 401(k) - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).

Location: Sweden - Remote Workplace: remote We have an exciting opportunity for experienced software sales executives to join our dynamic and growing sales team!  We are actively interviewing candidates in the Frankfurt, Germany or Nothern Germany area for our Account Executive role.   Azul offers lucrative, uncapped commission potential!  Our top sales professionals have been earning $1M in the past several years.   This is an individual-contributor, quota-carrying role. What You’ll Do (aka Responsibilities) Cultivate relationships and engage with new and existing clients to sell our Enterprise Products: Azul Platform Core and Azul Platform Prime Prospect and work closely with Lead Development Reps to foster new opportunities Build a 3X quota pipeline Consistently close business on a monthly and quarterly basis Win competitive deals working closely with our Sales Engineer What You’ll Bring (aka Experience, Skills Education) Experience and Education 10+ years proven experience in new business sales Sales experience in Cloud, Security, Java, DevOps, Java frameworks, APM, Systems Monitoring, OSS Demonstrated success across different product categories and industry verticals Small to medium sized companies, preferred Experience working with Channel Partners Undergraduate degree, or equivalent experience Skills and Competencies Exceptional communicator, influencer and presenter Demonstrated ability with Multi-Level selling Proficient in deal qualification methodologies Progressive and proactive use of industry sales tools and system What we Offer ·         Comprehensive compensation and healthcare packages ·         Referral Program ·         Work-life balance, remote-first, paid time off, company shutdown, holidays ·         Work with top experts worldwide whom contribute to the Java ecosystem   Our Culture & Values   ·         Maniacal Customer Focus ·         Innovation & Excellence ·         Initiative & Courage ·         Impact & Influence ·         Integrity & Transparency ·         Diversity, Inclusion & Teamwork   Employment at Azul is contingent upon the completion of reference and background checks.

Location: Remote - US About Backblaze Backblaze is the object storage leader in the open cloud movement, fueling customer success with cloud storage built purposefully to unlock budgets, unburden administrators, and unleash innovators. Together with our partners, we’re helping customers break free from the restrictive, overpriced legacy solutions that hold them back, and blaze forward with the full power of the open cloud in their hands. Founded in 2007, we scaled the business with less than $3 million in outside funding until 2021, when we did a traditional IPO on the Nasdaq stock exchange. Today, Backblaze generates over $100m in revenue and is the leading specialized storage cloud - managing over three billion gigabytes of data storage for 500K+ customers in 175+ countries, including businesses, developers, IT professionals, and individuals. But while there is a lot to celebrate in our past, there is almost as much opportunity ahead of us. Backblaze is seeking a highly analytical, systems-oriented Director of Security Operations to drive the planning, forecasting, deployment, and optimization of hardware infrastructure across our global cloud storage platform. Role Overview The Director of Security Operations leads the organization's day-to-day cybersecurity operations across traditional and AI-enabled environments. Reporting to the CISO, the Director leads Security Operations while partnering closely with the Director of Security Architecture & Engineering. This is a hands-on technical leadership role requiring experience implementing and operating security controls as well as leading teams, incidents, and security programs. Key Responsibilities Lead security monitoring, incident response, threat hunting, security analytics, vulnerability management, adversary emulation, identity security, and operational resilience. Establish operational priorities, service objectives, metrics, playbooks, and processes based on organizational risk and business needs. Serve as incident commander for significant cybersecurity events and ensure lessons learned drive improvements to controls and operations. Drive responsible adoption of AI-assisted detection, investigation, vulnerability analysis, threat hunting, and response capabilities. Ensure effective security monitoring and response for AI applications, autonomous agents, workloads, and non-human identities. Use automation to reduce manual work and compress detection, analysis, containment, and remediation timelines. Partner with Security Architecture & Engineering to ensure controls are effectively designed, implemented, operationalized, monitored, and validated. Develop security talent and provide the CISO with clear reporting on incidents, exposure, operational performance, risk, and program maturity. Qualifications Experience leading Security Operations, Incident Response, Detection Engineering, Vulnerability Management, IAM, or related cybersecurity functions. Demonstrated hands-on experience implementing and operating security controls across cloud, infrastructure, applications, identity, endpoints, and networks. Strong technical understanding of security analytics, detection engineering, exposure management, adversary emulation, and identity security. Experience leading significant cybersecurity incidents and cross-functional response activities. Experience implementing security automation and AI-assisted operational capabilities. Strong leadership, mentoring, communication, and executive presentation skills. Experience in cloud-native or large-scale distributed environments and familiarity with modern cybersecurity and AI-risk frameworks is preferred. Backblaze Perks: Healthcare for family, including dental and vision Competitive compensation and 401K RSU grants for full-time employees ESPP program Flexible vacation policy Maternity & paternity leave MacBook Pro to use for work plus a generous stipend to personalize your  workstation Childcare bonus (human children only) Fertility treatment and support Learning & development program Commuter benefits Culture that supports a healthy work-life balance To provide greater transparency to candidates, we share base pay ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar-stage growth companies. Final offer amounts are determined by multiple factors, including candidate location, skills, depth of work experience, and relevant licenses/credentials, and may vary from the amounts listed below. The base pay range for this position is $205,000 - $230,000 At Backblaze, we value being fair and good to our customers, partners, and employees. That’s why diversity, equity, and inclusion are at the core of our values. We are committed to fostering a workforce where all employees feel a sense of belonging regardless of race, ethnicity, nationality, gender, sexual orientation, age, religion, socio-economic status, ability, veteran status, and education. We believe that our dedication to cultivating a diverse workspace not only allows us to better serve our customers in over 175 countries, but further reinforces our commitment to doing the right thing. We are proud to be an Equal Opportunity Employer. To understand more about the data we collect and process as part of your application, please view our Backblaze Employee Privacy Notice.

Location: Limassol, Cyprus X-FLOW is a mobile game development company established in 2018. We gained recognition after the release of Happy Color , the most popular digital coloring book and one of the most successful ad-driven mobile apps in the world. We’re now looking for a Legal Counsel to strengthen our legal function and support X-FLOW’s growing international operations. You’ll play a key role in managing corporate, contract, and intellectual property matters while partnering closely with our leadership, finance, and product teams. If you’re a proactive legal professional who thrives in dynamic, tech-driven environments - we’d love to hear from you. Key Responsibilities: Negotiate and draft agreements with strategic partners and service providers, and oversee the contract management process. Monitor and enforce intellectual property rights, and manage disputes on digital platforms (App Store, Google Play, Amazon). Support the company’s employment and corporate matters. Act as product counsel, advising on new game features, initiatives, and related product changes. Respond to routine data protection and user support questions, and identify issues that require escalation. Provide legal guidance and strategic support to executive and operational teams across the company. Identify opportunities to simplify and improve recurring legal work through better processes, automation, and the responsible use of AI tools. Requirements: Law degree (LL.M. is a plus). 3+ years of relevant legal experience, preferably in-house within the video game, software, or high-tech sectors. Prior experience at a top-tier law firm is an advantage. Excellent communication and interpersonal skills. Ability to work independently and collaboratively with cross-functional teams. Proven experience managing multiple concurrent workloads with strong attention to detail. Fluency in Russian and English (both written and spoken). Strategic thinker with initiative, accountability, and a hands-on approach. What We Offer: Competitive salary and benefits package. The opportunity to work on a large-scale, global product, one of the biggest in its segment, alongside some of the best professionals in the industry. A chance to work with a creative, international, and passionate team. Professional growth opportunities within a dynamic and evolving company, including education. Join us and let’s create great content together! When you apply for this role, we process your personal data in accordance with our Candidate Privacy Notice ( https://xflowgames.com/candidate-privacy-notice ).

Location: Houston, United States We are EnerMech, a specialist service company that delivers safe, integrated solutions for complex energy projects. For over 50 years, we’ve been energizing our clients across the world with unrivalled expertise, equipment, and technology that supports the entire asset life cycle – offshore and on land. We enable progress through our three global business lines: Energy Solutions, Infrastructure & Industrial Solutions, and Lifting Solutions. Within these areas, we offer a wide range of services, including cranes, lifting, fluid power, training, equipment rental, pipeline, subsea, process, and valves – all designed to help you optimize performance, enhance reliability, and improve efficiency. With a focus on operational excellence, we deliver value through our customized integrated solutions. This approach reduces risk and enhances efficiencies, making us a leading and trusted partner every step of the way. The Role We are looking for an experienced Hydraulic Technician to join our team, responsible for the fabrication, installation, testing and maintenance of stainless steel hydraulic and instrumentation tubing systems. The role requires hands-on experience with 316 stainless steel tubing from 1/4" through 2" OD , including the coning and threading of medium-pressure (MP) and high-pressure (HP) tubing. Key Responsibilities • Install, bend, route and secure stainless steel hydraulic and instrumentation tubing from 1/4" through 2" OD. • Measure, cut, deburr, clean and fabricate tubing assemblies using manual and hydraulic tube-bending equipment. • Cone and thread MP and HP stainless steel tubing using approved tooling and procedures. • Install compression fittings, MP/HP connections, valves, manifolds, clamps, supports and other hydraulic components. • Read and interpret hydraulic schematics, P&IDs, isometric and fabrication drawings. • Perform pressure testing, flushing and leak testing of hydraulic systems. • Troubleshoot and repair hydraulic tubing, fittings, valves and associated components. • Ensure correct tube routing, bend radii, fitting alignment, cleanliness and installation standards. • Complete relevant inspection, testing and work documentation. • Maintain high standards of safety and quality at all times and travel to customer, onshore and offshore locations as required. Essential • High school diploma, GED or equivalent. • Minimum 3 years' experience in hydraulic tubing installation or a similar industrial environment. • Demonstrable experience installing 316 stainless steel tubing from 1/4" through 2" OD . • Hands-on experience coning and threading medium- and high-pressure stainless steel tubing . • Knowledge of MP/HP tubing systems, pressure-rated fittings and hydraulic systems. • Experience with compression fitting systems such as Parker A-LOK, Swagelok, Hy-Lok, Autoclave Engineers, HIP or equivalent. • Ability to read hydraulic schematics, P&IDs and engineering drawings. • Strong mechanical, troubleshooting and problem-solving skills. • Valid driver's licence and willingness to travel as required. Desirable Experience within oil & gas, petrochemical, pipeline, offshore or industrial environments would be advantageous, along with experience in hydraulic flushing, hydrostatic testing, hydraulic control panels, manifolds and power units. Diversity & Inclusion EnerMech is dedicated to fostering a diverse and inclusive organization. We believe that diversity enriches our team, and we welcome applications from candidates of all backgrounds, cultures, and identities.

Location: Hyderabad, India Location: India (100% Remote / Flexible) Contract Type: Full-Time / Enterprise Project Engagement About Xenon7 Where elite tech talent meets world-class opportunities! At Xenon7, we work with leading enterprise clients and innovative startups on high-impact projects across Data, AI, Cloud, and Software Engineering. Our expertise in AI solution architecture and specialized technical talent allows us to partner with enterprise leaders on transformative initiatives, driving innovation and business growth. Job Summary We are seeking a high-caliber Forward Deployment Engineer (FDE) to sit at the intersection of enterprise AI platforms and executive Finance business functions for our Fortune 100 enterprise client. This role bridges advanced AI platform engineering with direct business impact—translating ambiguous financial challenges into working AI applications, deploying them into regulated client environments, and iterating in tight loops to drive measurable ROI. Rather than building static models or waiting for formal spec sheets, you will operate as a product-minded technical lead. You will prototype user-facing tools in days, deploy agentic and RAG workflows on top of enterprise data stacks (Databricks Genie), and ensure high adoption across FP&A, Controllership, Treasury, and CFO leadership. Key Responsibilities End-to-End AI Application Prototyping & Delivery Own the full lifecycle of AI solutions for Finance business units—from initial discovery with CFO stakeholders to production deployment, user adoption, and ROI measurement. Rapidly prototype vertical applications using Streamlit, Databricks Apps, FastAPI/Flask, or lightweight React interfaces within 1–2 weeks to gather real user feedback. Handle "last mile" execution: edge cases, data quirks, business rule exceptions, and user training to turn prototypes into sticky enterprise products. Agentic Systems & LLM Engineering Build production-grade vertical AI tools leveraging Databricks Genie (Genie Spaces, semantic models). Construct robust RAG pipelines incorporating advanced chunking, vector databases (Pinecone, Chroma, FAISS, Azure AI Search, Cortex Search), retrieval evaluation, grounding, and citation. Implement LLM orchestration frameworks (LangChain, LangGraph, LlamaIndex) and apply rigorous prompt engineering with hallucination and accuracy evaluation discipline. Enterprise Data & Regulated Integration Deploy applications inside heavily regulated enterprise environments, adhering strictly to RBAC, data residency, audit, and compliance constraints (SOX, GxP). Connect solutions to governed datasets, semantic models, and core enterprise platforms (SAP, Workday, Coupa, ERP) via secure REST APIs. Instrument all deployed apps with usage metrics, telemetry, and business outcome tracking from day one. Strategic Stakeholder Advisory & Pattern Extraction Work directly with senior Finance leadership (CFO office, FP&A, Controllership) to translate ambiguous operational friction into crisp technical roadmaps. Extract reusable code components, prompt templates, evaluation harnesses, and retrieval patterns into shared enterprise assets for broader deployment. Requirements Experience & Mindset Experience: 5+ years of hands-on software development and full-stack AI application deployment. Product-Shaped Builder: Strong bias for action; comfortable shipping rough prototypes in Week 1 over polished spec documents in Week 4. Ambiguity Tolerance: Proven ability to navigate vague business problems without predefined specifications. Stakeholder Communication: Outstanding ability to interface directly with senior business leaders without requiring intermediary Business Analysts. Must-Have Technical Stack Languages & Frameworks: Python, FastAPI/Flask, SQL, and UI frameworks (Streamlit, Databricks Apps, React). AI Platforms: Direct hands-on experience with Databricks Genie . LLM Engineering: Production experience with LangChain, LangGraph, LlamaIndex, vector search engines, and prompt evaluation harnesses. Cloud & DevOps: Deep working knowledge of Cloud platforms (Azure preferred, AWS/GCP acceptable), modern Git workflows, CI/CD, and basic MLOps awareness (observability, versioning via LangSmith, Datadog, etc.). Domain Competency (Finance Focus) Solid foundational understanding of core Finance business processes (FP&A, order-to-cash, procure-to-pay, record-to-report, close cycles) and common financial metrics (OPEX, EBITDA, gross margin, working capital). Nice-to-Haves & Certifications Prior FDE, Solutions Engineer, or Field Engineer experience at high-growth AI/Data companies (Palantir, Databricks, OpenAI, Anthropic). Industry background in Life Sciences, Pharma, Healthcare, or CPG enterprise Finance. Experience with enterprise Finance software (SAP S/4HANA, Veeva, Workday Adaptive, Oracle Financials). Certifications: Databricks Certified, or Azure AI Engineer Associate (AI-102). What This Role Is NOT Not a pure Data Scientist or ML Researcher: You will not be training or fine-tuning foundation models from scratch; you are applying existing models to business problems. Not a non-coding Architect: This is a 100% hands-on builder role. Not a pure Backend or MLOps Engineer: You must be comfortable owning the user-facing interface and direct business interaction.

Location: Naypyidaw, Myanmar Make a Meaningful Impact—From Anywhere. Join Intellect as a Clinical Provider and support clients on their mental health journeys through our innovative telehealth platform. You’ll deliver high-quality, evidence-based care while being part of a supportive, global network of professionals. This freelance, remote role offers complete flexibility, allowing you to manage your schedule while complementing your current work or private practice. Why Join Intellect You’ll become part of a trusted community of Clinical Psychologists and Counsellors committed to expanding access to quality mental health care worldwide. What You’ll Do Provide 1-on-1 telehealth and/or onsite clinical support Treat a broad range of cases including anxiety, depression, trauma, addiction, eating disorders, schizophrenia, and more Partner with our internal clinical team to improve programs and platform outcomes Requirements Education: Master’s degree in Counseling or Clinical Psychology Expertise: CBT or other evidence-based approaches (MI, DBT, SFBT, etc.) Experience: Minimum of 300 post-master’s clinical hours Languages: Fluency in English and Burmese Preferred: EAP experience, adult counseling, or managerial coaching

Location: Kolkata, India Make a Meaningful Impact—From Anywhere. Join Intellect as a Clinical Provider and support clients on their mental health journeys through our innovative telehealth platform. You’ll deliver high-quality, evidence-based care while being part of a supportive, global network of professionals. This freelance, remote role offers complete flexibility, allowing you to manage your schedule while complementing your current work or private practice. Why Join Intellect You’ll become part of a trusted community of Clinical Psychologists and Counsellors committed to expanding access to quality mental health care worldwide. What You’ll Do Provide 1-on-1 telehealth and/or onsite clinical support Treat a broad range of cases including anxiety, depression, trauma, addiction, eating disorders, schizophrenia, and more Partner with our internal clinical team to improve programs and platform outcomes Requirements Education: Master’s degree in Counseling or Clinical Psychology Expertise: CBT or other evidence-based approaches (MI, DBT, SFBT, etc.) Experience: Minimum of 300 post-master’s clinical hours Languages: Fluency in English and the local language Preferred: EAP experience, adult counseling, or managerial coaching Bonus: Openness to occasional onsite work If you’re passionate about delivering impactful mental health care, we’d love to hear from you. Apply today.

Location: Colombo, Sri Lanka Make a Meaningful Impact—From Anywhere. Join Intellect as a Clinical Provider and support clients on their mental health journeys through our innovative telehealth platform. You’ll deliver high-quality, evidence-based care while being part of a supportive, global network of professionals. This freelance, remote role offers complete flexibility, allowing you to manage your schedule while complementing your current work or private practice. Why Join Intellect You’ll become part of a trusted community of Clinical Psychologists and Counsellors committed to expanding access to quality mental health care worldwide. What You’ll Do Provide 1-on-1 telehealth and/or onsite clinical support Treat a broad range of cases including anxiety, depression, trauma, addiction, eating disorders, schizophrenia, and more Partner with our internal clinical team to improve programs and platform outcomes Requirements Education: Master’s degree in Counseling or Clinical Psychology Expertise: CBT or other evidence-based approaches (MI, DBT, SFBT, etc.) Experience: Minimum of 300 post-master’s clinical hours Languages: Fluency in English and Sinhalese Preferred: EAP experience, adult counseling, or managerial coaching Bonus: Openness to occasional onsite work

Location: Chennai, India Make a Meaningful Impact—From Anywhere. Join Intellect as a Clinical Provider and support clients on their mental health journeys through our innovative telehealth platform. You’ll deliver high-quality, evidence-based care while being part of a supportive, global network of professionals. This freelance, remote role offers complete flexibility, allowing you to manage your schedule while complementing your current work or private practice. Why Join Intellect You’ll become part of a trusted community of Clinical Psychologists and Counsellors committed to expanding access to quality mental health care worldwide. What You’ll Do Provide 1-on-1 telehealth and/or onsite clinical support Treat a broad range of cases including anxiety, depression, trauma, addiction, eating disorders, schizophrenia, and more Partner with our internal clinical team to improve programs and platform outcomes Requirements Education: Master’s degree in Counseling or Clinical Psychology Expertise: CBT or other evidence-based approaches (MI, DBT, SFBT, etc.) Experience: Minimum of 300 post-master’s clinical hours Languages: Fluency in English, Tamil, and Malayalam Preferred: EAP experience, adult counseling, or managerial coaching Bonus: Openness to occasional onsite work If you’re passionate about delivering impactful mental health care, we’d love to hear from you. Apply today.

Location: Kuala Lumpur, Malaysia; Philippines; Taiwan The Role The Enterprise Client Success Manager (CSM) exists to ensure the successful delivery, adoption, and long-term impact of our mental health benefits platform across key strategic and large enterprise accounts. This is a high-touch, consultative role focused on translating our solution into measurable value for clients. The Enterprise CSM owns the end-to-end client journey, from implementation and program design to engagement strategy, reporting, renewals, and expansion. They act as a trusted advisor to senior HR and business stakeholders, ensuring the programme aligns with organisational priorities and drives meaningful outcomes for employees. What You'll Do Main Responsibilities Serve as the primary point of contact for a portfolio of key strategic and large enterprise accounts Own end-to-end delivery of the mental health benefits platform across assigned clients Develop and execute customised mental health programme strategies aligned to each client’s workforce needs Build strong, long-term relationships with senior HR and business stakeholders Drive client satisfaction, retention, and expansion opportunities Coordinate cross-functional collaboration across Sales, Product, Engineering, Clinical, Marketing, and Delivery teams Analyse engagement, utilisation, and outcome data to demonstrate value and inform strategy Identify product enhancement opportunities based on client feedback and insights Day-to-Day Activities Client Relationship Management Conduct regular client check-ins (weekly, monthly, quarterly) Prepare and present QBRs and impact reports Respond to client queries, escalations, and operational requests Align on programme priorities, campaign calendars, and engagement initiatives Manage renewals conversations and identify upsell/cross-sell opportunities Programme Delivery & Project Management Oversee implementation timelines and onboarding processes Coordinate webinars, roadshows, campaigns, and engagement initiatives Ensure platform configurations, credits, and reporting are accurate Track project milestones and manage internal follow-ups Ensure service quality standards are maintained across clinical and operational delivery Strategic Advisory & Consulting Develop tailored engagement strategies based on workforce demographics and needs Advise clients on mental health trends, utilisation benchmarks, and best practices Provide recommendations to improve adoption, communication, and ROI perception Align programme strategy with client organisational goals (e.g., wellbeing, retention, productivity) Data Analysis & Insights Monitor utilisation rates, credit consumption, engagement metrics, and CSAT/NPS Analyse trends and identify risks or growth opportunities Develop insights and narratives to demonstrate programme impact Use data to inform renewal and expansion discussions Cross-Functional Collaboration Translate client feedback into clear product and operational requirements Work with Product and Engineering on feature enhancements or fixes Partner with Marketing on engagement campaigns and communication materials Coordinate with Clinical and Delivery Ops for service quality and provider matters Support Sales in enterprise pitches, renewals, and expansion proposals Continuous Improvement & Innovation Identify recurring pain points and process inefficiencies Contribute to internal playbooks, best practices, and reporting frameworks Proactively suggest platform improvements to enhance scalability and client value Requirements Who You Are Bachelor's degree in Business, Management, or related field required. Master's degree would be a plus but not a requirement At least 3 years of experience in client success/account management/management consulting, preferably in a related industry such as healthcare, HR, change management, or benefits Proven track record of successful project delivery and account management, with experience managing large, complex projects and building long-term relationships with clients. Strong strategic thinking skills, with the ability to develop and execute on a strategic vision for clients. Excellent communication and interpersonal skills, with the ability to build trust and rapport with clients and internal stakeholders. Ability to work independently and as part of a team, with a strong sense of accountability and ownership. Familiarity with mental health benefits and/or related industries is a plus. Open to candidates from Malaysia (hybrid) and the Philippines (remote) Benefits Why You’ll Love Working With Us: Global company – work in a diverse environment with people from nearly 20 countries Generous leave policy – time off to rest and recharge Christmas week off – company-wide break during Christmas, separate from annual leave Birthday leave – enjoy a day off on your birthday Quarterly mental health days – one day off every quarter to focus on your wellbeing Flexible work arrangements – work in a way that suits your lifestyle and goals Work-life balance – a culture that values personal time and long-term wellness Medical coverage – comprehensive insurance for peace of mind Performance bonus – high performance is recognised and rewarded Development budget - annual allowance to support your professional development Mental health support – premium coaching access to our mental health app and resources & dedicated budget for clinical and psychiatric care Socials and communities – regular non-work events/activities to connect and have fun together

Location: Guangzhou, China The Company Our client was founded in 2009 and is headquartered in San Francisco. They describe themself as a “Retail Maximization Company,” focused on helping retailers, brands, and CPG companies improve digital revenue, customer experience, operational efficiency, and technology modernization. Their core positioning is highly retail-specialized rather than being a general-purpose IT services company. They emphasize deep expertise in: retail commerce, omnichannel systems, supply chain technology, AI and data platforms, experience design, cloud modernization, digital engineering, performance engineering, eCommerce migration, and upgrades. The Role The Enterprise Architect – OMS Platform (Composable Commerce) acts as the architectural anchor between the client’s Business, Technology, and ISV/Product Partner teams on a composable OMS platform program. The role is accountable for translating business intent into a scalable technical landscape, owning solution direction from discovery and architecture definition through delivery governance and production stability. The architect is expected to actively shape scope and commercial outcomes, driving decisions on what should be configured out-of-the-box (OOB) versus custom-built, while minimizing customization wherever the platform’s native capability can meet the need. Experience : 12+ years, with demonstrated architecture/solutioning ownership (not only hands-on delivery) across at least 3–4 years. Engagement Model : Client-facing. Works directly with client Technology, Business, and ISV/Product Partner teams as the architectural anchor for the engagement. Primary Product Context : Composable OMS platforms, with preference for Burgeon OMS. Standalone OMS product experience or OMS capability embedded within an ERP suite (e.g., Oracle EBS) are both relevant. Location : Guangzhou, China. Language Proficiency : Mandarin and English (both required). Working Hours : Core delivery hours, plus flexible overlap with PST for client leadership meetings, governance forums, and handoffs. Key Responsibilities Define and own end-to-end enterprise architecture across OMS core, extension microservices, integration layers, and downstream systems. Translate business and functional requirements into technical solutions, ensuring alignment with business outcomes. Architect custom microservices as OMS extension points using cloud-native and event-driven patterns. Own non-functional requirements, including scalability, resiliency, security, latency, and cost. Collaborate with business, technology, and ISV teams to define scope, estimates, timelines, milestones, and phased delivery plans. Provide cost inputs and trade-off analysis (build vs. configure, in-house vs. ISV-delivered). Evaluate requirements against OMS OOB capabilities before recommending customization. Document OOB versus custom decisions and rationale. Define architectural standards, coding guidelines, integration patterns, and governance processes. Establish architecture review checkpoints and maintain architecture documentation. Lead solution workshops, architecture reviews, and trade-off discussions with business and technical stakeholders. Represent architecture decisions in client governance forums. Domain & Technical Expertise Strong B2B OMS domain knowledge, including order lifecycle, inventory/allocation, fulfillment orchestration, and returns. Preference for direct Burgeon OMS experience; experience with standalone OMS products and ERP-embedded OMS modules (e.g., Oracle EBS Order Management) is relevant. Knowledge of OMS integrations with Payment Gateways, PLM, Loyalty Platforms, Recommendation Engines, WMS, and Promotion Frameworks. Expertise in Java/J2EE, microservices, event-driven architecture, RESTful services, and integration patterns. Strong understanding of cloud architecture, preferably AWS, including Lambda, API Gateway, CloudWatch, SQS, SNS, EventBridge, Kinesis, Secrets Manager, and S3. Engineering, Governance & Support Define and enforce Agile delivery practices, architecture governance, and CI/CD standards. Review delivery execution and ensure alignment with architectural standards. Define observability strategies using New Relic, Datadog, Grafana, and Splunk. Guide L3 support processes and work with L1/L2 teams to resolve systemic issues. Proactively identify recurring issue patterns and drive automation opportunities. Troubleshoot and resolve cross-functional production issues requiring architectural judgment. Requirements Required Qualifications 12+ years of technology experience, including architecture, technical leadership, or solutioning ownership. Prior OMS implementation experience is mandatory; Burgeon OMS experience preferred. Experience building custom microservices as extension points to commercial OMS platforms. Must be locally based in China. Business proficiency in Mandarin and English (spoken and written). Proven experience defining scope, estimates, timelines, and phased delivery plans in client-facing engagements. Ability to operate effectively at both business and technical levels. Flexibility to overlap with IST and PST hours for client meetings and governance activities.

Location: Spain; Portugal About Huzzle At Huzzle, we connect high-performing professionals with global companies across the UK, US, Canada, Europe, and Australia. Our clients include startups, digital agencies, and tech platforms in industries like SaaS, MarTech, FinTech, and EdTech. We match top talent to full-time remote roles where they’re hired directly into client teams and provided ongoing support by Huzzle. Role Type: Full-time Engagement: Independent Contractor Job Summary We are seeking a high-energy, multilingual Sales Development Representative to act as the engine of our growth within the fast-paced media landscape. In this role, you will be the first point of contact for potential partners, leveraging your linguistic skills to open doors across diverse markets. If you are a proactive communicator who thrives on hitting targets and wants to shape the future of media sales, this is the perfect opportunity to accelerate your career. Key Responsibilities Execute high-volume outbound prospecting, maintaining an average of 50 calls per day to key decision-makers. Qualify leads and generate a minimum of 10 high-quality outbound opportunities per month. Manage and track all sales activity, pipeline health, and lead status within Salesforce. Craft compelling outreach strategies to engage prospects across the US and international markets. Collaborate closely with Account Executives to ensure a seamless handoff of qualified prospects. Requirements Fluency in English, Spanish/Portuguese is required to support our global outreach efforts. Proven experience in a sales development or lead generation role. Ability to work US business hours to align with our core market activity. Proficiency with Salesforce CRM for lead management and reporting. Exceptional verbal and written communication skills with a "hunter" mentality. Resilience and the ability to handle high-volume cold calling and outreach. Prior experience or foundational knowledge within the Media or Advertising industry. Benefits 💰 Competitive base salary and commission structure 🌎 Fully remote work environment 🚀 Career growth opportunities into closing roles 📈 Long-term stability in a thriving industry 🎯 Performance-based incentives and bonuses 💻 Modern tech stack and sales enablement support

Location: Lagos, Nigeria We’re looking for a Product Manager to own the Customer Support product experience end-to-end. You’ll define the vision, roadmap, and execution for support tools and processes that improve resolution time, customer satisfaction, and operational efficiency across app, web, and contact centre channels. Key Responsibilities Define and execute the roadmap for customer support products (in-app help, ticketing, knowledge base, chat/voice integrations, self-service flows). Work with Engineering, Design, Support Ops, and Compliance to ship features that reduce handle time, increase first-contact resolution, and improve NPS/CSAT. Analyse support data (ticket volumes, categories, SLAs, escalation rates) to identify pain points and prioritize improvements. Partner with Risk, Collections, and Product teams to ensure support workflows align with regulatory and policy requirements. Run experiments and A/B tests on support flows, FAQs, and in-app guidance to drive self-service adoption. Build clear metrics and dashboards for support performance and report regularly to leadership. Requirements 3+ years of customer service product management experience, preferably in fintech, banking, or digital lending in Nigeria. Strong understanding of customer support operations, ticketing systems, and omnichannel support (app, web, call centre). Experience with data-driven prioritization, experimentation, and support metrics (FCR, AHT, SLA, CSAT/NPS). Familiarity with CBN/NDIC regulatory environment and financial services compliance is a plus. Excellent communication, stakeholder management, and problem-solving skills. Benefits You’ll receive competitive compensation and work with amazing people. You’ll work in a beautiful environment with a flat structure and solve complex, real-world challenges. Shape the future of fintech in Nigeria with products that reach millions, backed by a competitive salary plus performance bonuses and health benefits. Thrive in a fast paced work environment with flexibility, collaboration, and access to cutting-edge tools. Join a diverse, inclusive team where all voices are valued, and professional growth is a priority.