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Aleph Alpha is looking for Senior AI Researchers to develop and evaluate post-training methods that reduce LLM hallucinations and improve reliability.

Location: Bangkok, Thailand; Vietnam; Georgia; Indonesia; Philippines Social Discovery Group (SDG) is a group of social discovery companies. SDG solves the problems of loneliness, isolation, and disconnection - transforming virtual intimacy into the new normal. SDG’s products redefine the way people interact and connect with one another. Our portfolio includes social entertainment platforms designed to connect people online across different cultures and regions of the world. We bring together a team of like-minded people and IT professionals who specialize in creating and developing globally impactful social discovery products. Our international team of digital nomads works remotely from all over the world. We’re proud to be a two-time “Great Place to Work” winner (USA & Japan, 2024–2025) and a Top-5 Company for Work-From-Anywhere Jobs (FlexJobs, 2025). We are looking for a Lead PPC Specialist . Your main tasks will be: Own and evolve the global Paid Search strategy across our products portfolio, with primary responsibility for Google Ads and additional ownership of Microsoft Advertising where relevant; Lead, coach and develop the Paid Search team: set objectives, allocate workload, review performance, improve execution standards and support hiring and onboarding; Own portfolio-level budget allocation, forecasting and performance across products, markets and funnels, including Tier-1 geographies and six-figure+ monthly search spend; Design scalable account and campaign structures covering keyword strategy, match types, negative keywords, search-query mining, bidding, RSAs, DSA and Performance Max where appropriate; Lead the implementation and optimization of pLTV-based conversions and conversion values: partner with Analytics and Engineering to validate predicted lifetime value, conversion mapping, value uploads and signal quality, then use these signals in value-based Smart Bidding; Establish a rigorous experimentation program using Google Ads Experiments to A/B-test bidding strategies, campaign structures, match types, ads, landing pages and pLTV optimization approaches; Apply sound statistical methods to experiment design and interpretation, including hypothesis definition, sample-size and power considerations, confidence intervals, significance, seasonality and test contamination; Oversee conversion tracking, Enhanced Conversions, offline conversion imports, attribution and reporting across app, mobile web and desktop; identify data gaps and drive remediation; Analyze search demand, auction dynamics, marginal returns and conversion-funnel performance to identify scalable growth opportunities and present decision-ready recommendations; Collaborate with Analytics, Engineering, Product, CRO, Creative and Localization teams to improve acquisition economics and landing-page performance across international markets. We expect from you: Expert-level knowledge of Google Ads Search, including account architecture, keyword and search-query strategy, match types, negative keywords, RSAs, DSA, auction dynamics, policy compliance and international scaling; Advanced knowledge of Google Smart Bidding: Maximize Conversions, Target CPA, Maximize Conversion Value, Target ROAS, portfolio bid strategies and the conditions required for stable learning and scale; Hands-on experience implementing and optimizing campaigns against predicted lifetime value (pLTV) conversions or conversion values, including offline conversion imports, Enhanced Conversions, API-based value uploads, signal validation and bidding calibration; Proven experience designing and running A/B tests through Google Ads Experiments, including bidding, campaign structure, match-type, ad-copy and landing-page experiments; Strong statistical foundation: hypothesis formulation, experimental design, sample-size and power concepts, confidence intervals, statistical significance, variance, seasonality, multiple-testing risk and common sources of bias; Advanced understanding of performance economics and funnel metrics: CAC/CPA, pLTV, ROAS, LTV-to-CAC, payback period, conversion lag, marginal CPA/ROAS, CVR, CPC, CTR and impression share; Deep understanding of measurement and attribution across app, mobile web and desktop, including GA4, Google Tag Manager, Enhanced Conversions, offline conversion tracking and data-driven attribution; Advanced Excel/Google Sheets skills and working proficiency with SQL, BigQuery and BI tools for campaign, cohort and funnel analysis; Strong capability in budget allocation, forecasting, scenario modelling, marginal-return analysis, pacing and executive-level reporting for high-spend international accounts; Experience with Microsoft Advertising, Search Ads 360, Google Ads Scripts or other automation tools is a strong advantage; Proven ability to build scalable campaign-management, experimentation, analytics and quality-assurance processes for a team. What do we offer: REMOTE OPPORTUNITY to work full-time; The initial pay level or pay range for this role will be shared with candidates during the recruitment process and before the commencement of employment; Vacation 28 calendar days per year; 7 wellness days per year (time off) that can be used to deal with household issues, to lie down and recover without taking sick leave; Bonuses up to $5000 for recommending successful applicants for positions in the company; 50% payment for professional training, international conferences, and meetings; Corporate discount for English lessons; ​ Health benefits. According to the paychecks, if you are not eligible for corporate medical insurance, the company will compensate you with up to $ 1,000 gross per year per employee. This can be spent on self-purchase of health insurance or on doctor’s fees for yourself and close relatives (spouse, children); ​ Workplace organization. The company provides all employees with an equipped workplace and all the necessary equipment (table, armchair, wifi, etc.) in our offices or co-working locations. In the other locations, the company provides reimbursement of workplace costs up to $ 1000 gross once every 3 years, according to the paychecks. This money can be spent on the rent of the co-working room, on equipping the working place at home (desk, chair, Internet, etc.) during those 3 years; Internal gamified gratitude system: receive bonuses from colleagues and exchange them for our merchandise, team building activities, massage certificates, etc. Sounds good? Join us now!

Задачи: — Контроль и управление критической инфраструктурой дата-центра — Руководство техникой — Оптимизация процессов технического обслуживания — Минимизация времени простоя Требования: — Опыт работы с системами управления зданием (building management system) — Знание профилактического обслуживания (preventive maintenance) — Навыки калибровки оборудования (equipment calibration) — Опыт управления проектами (project management) — Знание операций с объектами (facility operations) — Работа с программируемыми логическими контроллерами (PLC) — Мониторинг окружающей среды (environmental monitoring) — Знание механических систем (mechanical system) — Опыт работы с дата-центрами (data center) — Знание резервных систем (backup system) — Распределение электроэнергии (power distribution) — Опыт работы с системами HVAC — Знание электрических систем (electrical system) — Управление активами (asset management) — Соблюдение требований безопасности (safety compliance) Условия: — Работа в офисе в городе Southaven, MS

Location: San Francisco; Seattle; New York City ABOUT THE ROLE The Enterprise Agent Evals & Efficiency team makes Perplexity's agents better at completing real work across enterprise connectors, tools, and data. Our goal is to help agents choose the right tools, use the right context, and complete complex workflows reliably, with less time and compute. This team owns the improvement loop: define what successful work looks like, build evaluations that measure it, understand where agents fail, and ship changes that improve outcomes. This is a hands-on engineering role with end-to-end ownership, from building realistic enterprise evaluation environments to shipping improvements across the agent harness, tools, and skills. You'll create complex scenarios spanning connected systems, data, and permissions, use them to identify where agents struggle, and improve the tools agents call, the skills they follow, the context they receive, and the models they use. Working with AI Research, Connectors, and Platform teams, you'll turn experimental results into measurable gains in task success, latency, and cost per successful task. The goal is not just to measure agents, but to make more enterprise work reliable and practical to automate. KEY RESPONSIBILITIES - Build realistic enterprise evaluation environments spanning connected applications, representative datasets, user roles, and permissions, with complex, multi-step workflows and reproducible system state. - Own evaluation infrastructure, task suites, and automated graders that measure how well agents complete enterprise work, calibrated against human judgment and grounded in end-to-end outcomes. - Analyze agent trajectories and production failures, identify root causes, and ship improvements across the agent harness, tools, and skills that measurably improve task success and reliability. - Develop reusable skills and improve tool descriptions, schemas, and result handling so agents can select the right tools, execute workflows correctly, and recover from errors with fewer unnecessary calls. - Build and evaluate model-selection and routing strategies that match each task to the right model and effort level, balancing quality, latency, reliability, and cost. - Improve agent efficiency through context management, skill loading, caching, and execution strategies that reduce wasted tokens and cost per successful task without compromising quality or safety. - Build regression gates and launch-readiness signals for model, connector, tool, skill, and harness changes, and validate that evaluation gains translate into better production outcomes. QUALIFICATIONS - 5+ years of software engineering or machine learning engineering experience, with a track record of owning complex production systems from design through deployment and operation. - Strong system design skills, including building reliable, scalable infrastructure for experimentation, evaluation, or data-intensive applications. - Strong proficiency in a backend language such as Python, Go, or Rust, and the ability to work effectively across a multi-language production stack. - Hands-on experience building, evaluating, or improving LLM-based applications or agents, including tool use and multi-step workflows. - Deep expertise in at least one of the following: - Evaluation infrastructure, benchmark design, and automated grading. - Agent harnesses, tool interfaces, and reusable skills for complex workflows. - Realistic test environments or simulations spanning multiple systems, datasets, permissions, and stateful workflows. - Model selection, routing, and inference efficiency, including context management and caching. - Strong experimental and statistical judgment, including choosing representative tasks, defining meaningful success criteria, diagnosing failures, and distinguishing real improvements from noise. - Sound technical judgment in balancing task quality, latency, reliability, and cost, with a track record of translating evaluation findings into shipped improvements. - A track record of leading ambiguous, cross-team initiatives from architecture through production adoption, setting technical direction, and raising engineering quality through mentorship. If you’re excited about this role, we encourage you to apply even if you don’t meet every qualification. We value demonstrated impact, deep ownership, and the initiative to turn ambiguity into results.

Location: San Francisco; Seattle; New York City ABOUT THE ROLE The Enterprise Agent Evals & Efficiency team makes Perplexity's agents better at completing real work across enterprise connectors, tools, and data. Our goal is to help agents choose the right tools, use the right context, and complete complex workflows reliably, with less time and compute. This team owns the improvement loop: define what successful work looks like, build evaluations that measure it, understand where agents fail, and ship changes that improve outcomes. This is a hands-on engineering role with end-to-end ownership, from building realistic enterprise evaluation environments to shipping improvements across the agent harness, tools, and skills. You'll create complex scenarios spanning connected systems, data, and permissions, use them to identify where agents struggle, and improve the tools agents call, the skills they follow, the context they receive, and the models they use. Working with AI Research, Connectors, and Platform teams, you'll turn experimental results into measurable gains in task success, latency, and cost per successful task. The goal is not just to measure agents, but to make more enterprise work reliable and practical to automate. KEY RESPONSIBILITIES - Build realistic enterprise evaluation environments spanning connected applications, representative datasets, user roles, and permissions, with complex, multi-step workflows and reproducible system state. - Own evaluation infrastructure, task suites, and automated graders that measure how well agents complete enterprise work, calibrated against human judgment and grounded in end-to-end outcomes. - Analyze agent trajectories and production failures, identify root causes, and ship improvements across the agent harness, tools, and skills that measurably improve task success and reliability. - Develop reusable skills and improve tool descriptions, schemas, and result handling so agents can select the right tools, execute workflows correctly, and recover from errors with fewer unnecessary calls. - Build and evaluate model-selection and routing strategies that match each task to the right model and effort level, balancing quality, latency, reliability, and cost. - Improve agent efficiency through context management, skill loading, caching, and execution strategies that reduce wasted tokens and cost per successful task without compromising quality or safety. - Build regression gates and launch-readiness signals for model, connector, tool, skill, and harness changes, and validate that evaluation gains translate into better production outcomes. QUALIFICATIONS - 5+ years of software engineering or machine learning engineering experience, with a track record of owning complex production systems from design through deployment and operation. - Strong system design skills, including building reliable, scalable infrastructure for experimentation, evaluation, or data-intensive applications. - Strong proficiency in a backend language such as Python, Go, or Rust, and the ability to work effectively across a multi-language production stack. - Hands-on experience building, evaluating, or improving LLM-based applications or agents, including tool use and multi-step workflows. - Deep expertise in at least one of the following: - Evaluation infrastructure, benchmark design, and automated grading. - Agent harnesses, tool interfaces, and reusable skills for complex workflows. - Realistic test environments or simulations spanning multiple systems, datasets, permissions, and stateful workflows. - Model selection, routing, and inference efficiency, including context management and caching. - Strong experimental and statistical judgment, including choosing representative tasks, defining meaningful success criteria, diagnosing failures, and distinguishing real improvements from noise. - Sound technical judgment in balancing task quality, latency, reliability, and cost, with a track record of translating evaluation findings into shipped improvements. - A track record of leading ambiguous, cross-team initiatives from architecture through production adoption, setting technical direction, and raising engineering quality through mentorship. If you’re excited about this role, we encourage you to apply even if you don’t meet every qualification. We value demonstrated impact, deep ownership, and the initiative to turn ambiguity into results.

Location: Pontassieve, Italy Keller Executive Search is recruiting for a permanent HR opportunity with an established company in the wine and hospitality sector. Based in Tuscany, our client brings together agricultural, production, commercial and guest-facing operations within an international environment. The business is investing in leadership capability, employee development and a strong, sustainable workplace culture. This is not a conventional HR position. The successful candidate will be a coach-first culture and organisational development partner, working closely with executives, managers and frontline supervisors to strengthen leadership practices, feedback, performance conversations and employee development. You will also lead recurring culture, engagement and performance-development programmes from diagnosis through implementation and measurable follow-through. Reporting to the HR Director with an international dotted-line relationship, you will join a lean HR team and retain meaningful generalist responsibilities. The opportunity suits someone who combines behavioural-science expertise and credible leadership coaching with practical Italian HR knowledge. With broad access to leaders and teams across multiple Tuscan sites, this role offers tangible influence and a potential long-term pathway towards senior HR leadership. Key Responsibilities Build sustained one-to-one coaching relationships with executives, managers and frontline supervisors, including leaders senior to the role holder Coach leaders on feedback, goal setting, career development, performance management and formal employee conversations Lead culture and organisational development programmes from diagnosis and design through implementation, evaluation and improvement Manage recurring employee-listening and performance-development cycles, including survey preparation, launch, reporting and follow-through Translate survey findings into practical, leader-owned departmental action plans and monitor delivery Facilitate leadership, talent and capability discussions across operational and corporate teams Conduct training needs analysis and coordinate development programmes, vendors, e-learning and evaluation within budget Support succession planning and talent-calibration discussions, linking outcomes to development actions Provide accurate first-line generalist HR guidance to managers, applying Italian employment law and relevant collective agreements Support HR reporting, employee-cost budgeting, forecasting and workforce data analysis Provide recruitment and union-meeting support when required without displacing the role's coaching focus Maintain a visible presence across sites and incorporate health, safety and quality principles into daily work Additional Information Hybrid pattern: office attendance Tuesday through Thursday, with Monday and Friday generally used for home working or site travel Travel: approximately 50-60% across Tuscany and 10% outside Tuscany Permanent, full-time position working 40 hours per week The role has no direct reports and reports to the HR Director, with an international dotted-line relationship Requirements Essential Demonstrated end-to-end ownership of culture, engagement or organisational development programmes, including implementation and measurable follow-through Sustained one-to-one coaching experience with managers and leaders, including senior leaders and frontline supervisors Practical HR generalist or HRBP experience covering employee advice, performance processes and HR casework Sound working knowledge of Italian employment law, with the judgement to manage or escalate formal matters appropriately Expert proficiency in Italian and strong professional English, spoken and written A degree in psychology or a related behavioural or organisational field, or an accepted equivalent combining relevant education with substantial coaching practice Relevant HR experience combining organisational development, talent, learning or culture work with hands-on generalist responsibilities Intermediate proficiency in Excel, PowerPoint and Word, plus experience using HR systems and handling people or survey data accurately Availability for permanent, full-time employment and willingness to follow the required hybrid and site-travel pattern Preferred Leadership coaching certification supported by applied coaching experience Experience operating in an international matrix or internationally owned business Experience engaging production, agricultural, plant, hospitality or other multi-site workforces Hands-on experience with Workday or another HRIS Experience supporting succession planning, HR budgets, recruitment or union relationships Background in a mid-sized organisation or similarly lean HR operating model Ideal Candidate Profile You are a credible, psychologically informed HR professional who can challenge and support senior leaders while earning trust across operational teams. Constructive, adaptable and practical, you combine coaching skill with disciplined execution and are equally comfortable facilitating a leadership conversation, interpreting survey data or advising a manager on an Italian HR matter. Benefits Base salary of EUR 60,000 to EUR 70,000 annually, depending on experience, with flexibility up to EUR 75,000 for an exceptional candidate Short-term performance incentive plan Paid leave and employment provisions in accordance with the applicable collective agreement Relocation assistance may be considered for the right candidate Potential long-term development pathway towards senior HR leadership Agency statement Keller is a recruitment agency that provides services to clients ranging from startups and non profits to multinational corporations. Keller emphasizes ethical search processes, attentive candidate care, and leadership placements that support long-term client outcomes. To learn more about the firm and about our candidate services - please visit our website Equal Employment Opportunity Statement Both Keller Executive Search and our clients are Equal Opportunity Employers. For all positions, whether with Keller Executive Search or our clients, qualified applicants will receive consideration for employment without regard to race, skin color, religion, sex, sexual orientation, gender identity, gender expression, nationality, age, disability, genetic information, or any other characteristic protected under EU law and the laws of the respective EU member states. Commitment to Diversity Keller Executive Search and its clients are committed to fostering a diverse and inclusive work environment where all individuals are valued and respected. We recognize and celebrate the cultural diversity across EU member states. Reasonable Accommodations Both Keller Executive Search and our clients are committed to providing reasonable accommodations to individuals with disabilities, in accordance with EU Directive 2000/78/EC and national laws of EU member states. We engage in an interactive process to determine effective, reasonable accommodations. Compensation Information For client positions, compensation information will be provided in accordance with applicable EU and national laws. When required by law, salary information will be included in job postings or provided during the recruitment process. We are committed to pay transparency and equal pay for equal work, in line with EU Directive 2006/54/EC and national laws on pay equity. Compliance with Laws Both Keller Executive Search and our clients comply with EU laws, directives, and regulations, as well as national laws of EU member states governing non-discrimination in employment. This policy applies to all employment terms and conditions, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. Workplace Harassment Both Keller Executive Search and our clients expressly prohibit any form of workplace harassment based on any protected characteristic under EU law and the laws of EU member states. This includes, but is not limited to, harassment based on race, ethnic origin, religion, sex, sexual orientation, gender identity or expression, nationality, age, disability, or genetic information. Data Protection and Privacy We process personal data in compliance with the General Data Protection Regulation (GDPR) and applicable national data protection laws. For more information about how we collect and process personal data for recruitment and employment purposes, please review our Privacy Policy at www.kellerexecutivesearch.com . Pay Equity Both Keller Executive Search and our clients are committed to pay equity and conduct periodic pay equity analyses in accordance with applicable EU and national laws. Working Time and Leave We comply with EU Directive 2003/88/EC concerning certain aspects of the organization of working time, as well as national laws of EU member states regarding working hours, rest periods, and leave entitlements. Health and Safety We are committed to providing a safe and healthy work environment in accordance with EU Framework Directive 89/391/EEC on Safety and Health at Work and relevant national laws of EU member states. Works Councils and Employee Representation We respect the rights of employees to form and join works councils and other forms of employee representation in accordance with EU Directive 2009/38/EC and national laws of EU member states. Country-Specific Declarations While this policy provides a general framework applicable across the EU, it's important to note that specific employment laws can vary significantly between EU member states. To ensure full compliance with local regulations, we make the following provisions: 1.     Local Law Compliance: In addition to EU-wide regulations, we comply with all national laws and regulations of the specific EU member state where the employment takes place. 2.     Country-Specific Addenda: For each EU country where we operate, we maintain country-specific addenda to this policy. These addenda outline any additional requirements, protections, or procedures mandated by national law that go beyond or differ from EU-wide standards. 3.     Language Requirements: In countries where local law requires that employment policies be provided in the local language, we will make available a properly translated version of this policy and its country-specific addendum. 4.     Notification of Applicable Laws: During the recruitment process, candidates will be informed of the specific national laws that apply to their potential employment, in addition to EU-wide regulations. 5.     Regular Updates: We commit to regularly reviewing and updating our country-specific addenda to reflect any changes in national employment laws. 6.     Precedence of National Law: Where national law provides greater protection or additional rights to employees beyond what is outlined in this general EU policy, the national law will take precedence. 7.     Specific Declarations: Where required by national law, we will make specific declarations regarding matters such as: Pay transparency and gender pay gap reporting Working time arrangements Collective bargaining agreements Data protection and privacy measures Whistleblower protection mechanisms Any quota systems for underrepresented groups in employment 8.     Access to Information: Employees and candidates can request information about the country-specific policies applicable to their employment or potential employment by contacting assistance@kellerexecutivesearch.com . Use of Artificial Intelligence in Recruitment Keller Executive Search and our clients may use artificial intelligence (AI) tools to assist in the recruitment and candidate evaluation process. These tools are used exclusively to support human decision-making by helping to review and assess candidate qualifications and materials. AI is never used to automatically reject, disqualify, or make final hiring decisions about candidates. All AI-assisted evaluations are reviewed by experienced recruitment professionals, and all hiring decisions are made by qualified human recruiters. Our use of AI is designed to enhance fairness, consistency, and efficiency while maintaining our commitment to equal employment opportunity and non-discrimination principles. Genetic Information In accordance with EU and national laws, both Keller Executive Search and our clients do not discriminate based on genetic information. We do not request or require genetic information from applicants or employees, except as permitted by law. Local Laws Both Keller Executive Search and our clients comply with all applicable local laws and ordinances regarding employment practices in the areas where we operate within the EU. Note: This job posting may be for a position with Keller Executive Search or one of our clients. The specific employer will be identified during the application and interview process. Employment laws and requirements may vary depending on the employer and location within the EU.

Location: New York, NY or Chicago, IL About Us: EvolutionIQ builds AI that helps insurance claims teams handle claims more accurately, fairly, and efficiently, so more people impacted by injury or illness can get back to their lives with dignity and stability. As part of CCC Intelligent Solutions (NASDAQ: CCC), we pair AI-native product development with something almost no one else in this market has: 40 years of proprietary data and deep relationships with the largest, most complex carriers in the world. It's a rare combination, and it's what lets us build products others can't. Our people come first, and we think it shows. We've been named one of Inc.'s Best Workplaces three years running, plus Built In's Best Places to Work in 2025 and 2026. About the Role: As a Senior Technical Recruiter / TA Partner, you will own full-cycle recruiting for complex, high-impact Engineering and AI positions. You will lead searches for Senior Software Engineers, AI Engineers, Machine Learning Engineers, and other specialized technical talent, partnering closely with Engineering leaders to understand their teams, technical requirements, and hiring priorities. You will bring a hands-on sourcing approach, strong technical recruiting judgment, and market intelligence to build exceptional pipelines and deliver high-quality hires. The ideal candidate is an experienced technical recruiter who can independently manage difficult Engineering searches, engage passive technical talent, and advise hiring managers on realistic talent profiles, competitive markets, and effective selection processes. You can speak credibly with engineers about their work and thrive in a fast-paced, evolving technology environment. Key Responsibilities Full-Cycle Technical Recruitment Own searches end to end for Engineering and AI teams, including Senior Software Engineers, AI Engineers, Machine Learning Engineers, and other specialized technical positions. Partner with Engineering hiring managers to translate technical requirements into clear candidate profiles, interview plans, and targeted search strategies. Lead recruiter screens and assess relevant technical experience, project ownership, problem-solving approach, career motivations, and alignment with role requirements. Manage complex searches proactively, identifying bottlenecks, calibrating with interview teams, and keeping high-priority hiring processes moving. Technical Talent Acquisition Strategy Develop search strategies for hard-to-fill technical roles using talent mapping, competitive intelligence, sourcing data, and a deep understanding of Engineering talent markets. Advise Engineering leaders on candidate availability, compensation expectations, market competition, hiring tradeoffs, and realistic recruiting timelines. Work with stakeholders to prioritize openings, align on must-have versus trainable skills, and refine candidate profiles based on market feedback. Use pipeline data, interviewer feedback, and market insights to continuously adjust sourcing and hiring strategies. Technical Sourcing and Candidate Engagement Personally source and engage passive Engineering talent using LinkedIn Recruiter, GitHub, Boolean/X-ray search, technical communities, referrals, networking, and relevant AI-enabled sourcing tools. Build credible relationships with technical candidates by communicating the Engineering challenges, product impact, team environment, and opportunity for growth. Develop and maintain talent pipelines for Software Engineering, AI/ML, and emerging technical skill sets to support current and anticipated hiring needs. Engineering Partnership and Stakeholder Management Build trusted relationships with Engineering leaders, interviewers, HR partners, and other stakeholders to understand organizational goals and evolving technical needs. Provide concise, data-driven updates on search progress, pipeline quality, candidate engagement, interview conversion, and risks to hiring goals. Influence hiring decisions through structured feedback, thoughtful calibration, and a strong candidate and hiring-manager experience. Recruiting Analytics and Process Excellence Track funnel conversion, sourcing channel effectiveness, time to fill, and offer outcomes; translate findings into actions that improve technical hiring results. Partner with Engineering teams to improve interview quality, assessment consistency, candidate communication, and overall process efficiency. Stay current on software engineering, AI/ML hiring trends, recruiting technology, and responsible use of AI tools in sourcing and recruiting workflows. Mentorship Share technical recruiting expertise, sourcing methods, and stakeholder-management practices with other recruiters to elevate team performance. Qualifications Bachelor’s degree in Human Resources, Business Administration, or a related field 5+ years of full-cycle recruiting experience, including significant direct ownership of Software Engineering and other technical searches at the mid-to-senior level. Demonstrated success hiring Senior Software Engineers and related Engineering talent; experience recruiting AI Engineers, Machine Learning Engineers, or similarly specialized roles strongly preferred. Advanced hands-on technical sourcing skills, including Boolean search, LinkedIn Recruiter, GitHub, talent mapping, and proactive outreach to passive candidates. Ability to discuss technical profiles credibly with Engineering leaders, understand common software development and AI/ML concepts, and translate requirements into an effective recruiting strategy. Strong consultative, analytical, communication, and negotiation skills with a track record of managing multiple high-priority technical searches. Work-life, Culture & Perks: Compensation: The base salary range is up to $125K , with flexibility depending on a candidate's background and experience. An annual bonus plan is also included in our compensation package. Well-Being: Medical, dental, vision, short & long-term disability, life insurance and AD&D, and 401k matching. Additional family, wellness, and pet benefits. Home & Family: Paid time off and sick leave, 100% paid parental leave (16 weeks for primary caregivers and 12 weeks for secondary caregivers). We offer a flexible schedule for new parents returning to work. Office Life: Catered lunches, happy hours, pet-friendly spaces, and monthly technology stipend. Growth & Training: $1,000/year for each employee for professional development, as well as opportunities for tuition reimbursement. Sponsorship: We are open to sponsoring candidates currently in the U.S. who need to transfer their active visa. Please check with our Recruiting team if your visa is applicable for transfer. EvolutionIQ / CCC Intelligent Solutions appreciates your interest in our company as a place of employment. We are an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Location: British Columbia Workplace: Hybrid As a Software Development Manager, you will oversee the planning, execution, and delivery of technical projects within your team. You’ll collaborate with Product, UX, and other stakeholders to prioritize work, help shape technical priorities, and ensure smooth delivery. You’ll also support the growth and well-being of team members through coaching, feedback, and development opportunities. Your leadership will help the team navigate challenges, align with product goals, and continuously improve their practices and performance. This is a people-first leadership role for someone who is passionate about developing talent, supporting delivery, and fostering collaboration. You’ll also serve as a bridge between your team and the broader organization, helping align business needs with technical implementation. This is a hybrid role based out of Safe Software's Surrey, BC headquarters. We have an immediate opening and are excited to find the right candidate to join our team. We encourage applicants from all backgrounds to apply. Even if you don’t meet every requirement listed, we value your unique experiences and perspectives. ABOUT THE TEAM As part of the FME Form product group, you’ll join a group of collaborative development teams composed of tech leaders, developers, quality analysts, and student interns who work together as a team and alongside product managers and user experience designers, on complex technical projects that provide direct value to our users. In this role, you’ll report to our Director, Software Development and work closely with them to support the team and its priorities. As a part of this close-knit and diverse team, you will work together with internal stakeholders to maintain and extend our flagship FME Form products that delight customers and empower them to author dataflows that can be shared, reused, and integrated with the FME Platform. WHAT YOU’LL BE DOING As a Software Development Manager, FME Form, you will: - Lead a team of developers through coaching, feedback, and professional development, in close collaboration with your Director. - Manage people responsibilities for your direct reports, including performance conversations, calibration, and other HR processes. - Collaborate with Product, UX, and technical stakeholders to define and prioritize work. - Act as product owner and project manager for your team, partnering with Product Managers, designers, your Director, and tech leaders to manage the backlog, prioritize features and internal improvements, and see planned work through from kickoff to delivery. - Oversee technical delivery, helping manage project flow and addressing risks early. - Support architecture, product, and design discussions with QA, Customer Support, and other relevant stakeholders to ensure alignment and inclusion of team voices. - Build a positive, inclusive team culture centred on collaboration and shared ownership. - Guide hiring, onboarding, and team growth with a focus on skill development and values alignment. - Champion continuous improvement and openness to change in tools, development processes, practices, and communication, including AI-enabled ways of working. - Act as a liaison between your team and other parts of the organization, advocating for both team and business needs. QUALIFICATIONS, SKILLS, AND COMPETENCIES At Safe Software, we welcome diverse backgrounds and experiences. While not all candidates will have everything listed, the most successful candidates will bring many of the following: What We’re Looking For: - 7+ years in software development, including 3+ years leading software teams as a people manager, team lead, or similar role. Direct people management experience strongly preferred. - Solid understanding of the software development lifecycle and Agile development practices. - Working knowledge of software development in any language (e.g., C++, Python, Java), enough to understand the scope and design of your team’s work. Hands-on coding is not expected. - Product owner, scrum master, or project management experience, including backlog management and feature prioritization using Jira or equivalent project management software. - Openness to and support for adopting AI tools within a development team. - Strong communication and collaboration skills, with a focus on empathy, honesty, and clarity. - Demonstrated ability to support team health and build inclusive, high-performing teams. - Ability to balance technical direction with team and business priorities. - An open, adaptable mindset toward change, with a willingness to listen to multiple perspectives. - Confidence to establish credibility with experienced senior engineers, setting clear boundaries while remaining collaborative. Nice to Have: - Experience with C++ software development. - Familiarity with Safe Software’s platform or similar technical domains. - Involvement in mentoring, DEI, or culture-building initiatives. - Knowledge of hiring practices, onboarding, and team-building techniques. - Experience with AI Coding Agents (e.g. Claude Code, GitHub Copilot). What You Can Expect When you choose a career with Safe Software, you’re also choosing… - Meaningful Work: Make a profound impact across our business, workplace and data integration product. - A Supportive Environment: Feel empowered to share your ideas and implement them with high autonomy and team support. - Social Responsibility: Become part of a team that finds meaningful ways to give back https://www.safe.com/about/community-initiatives/. Take paid time off to volunteer for one of our Safe-organized opportunities that align with our core community initiatives. - Learning & Career Development: We believe in your continuous learning and growth. Take advantage of an annual learning budget and training programs paid for by Safe. - Flexible Working Hours: Flexible and remote-friendly work arrangements to fit your lifestyle. Work when you want, and how you want to. - Work-Life Balance: There's no place for burnout at Safe. Maintain a healthy balance of your personal and work life without splitting yourself in two. Enjoy 3 weeks of vacation to recharge, plus an additional paid 6 seasonal days off per year. - Health & Wellness: Extended health, dental, health or lifestyle spending, and counseling benefits from day 1. That’s right, no waiting period. - Family is important: We are dedicated to supporting our employees through parenthood and offer a Parental Leave Top-Up Program for new parents through childbirth or adoption. - Shared Success: Share in Safe’s success with our bi-annual profit sharing and RRSP/TFSA matching program. - An Accessible Commute: Regardless of your commute method, we’re located close to public transit, and provide complimentary parking and bike storage for our team! ABOUT SAFE SOFTWARE Safe Software transforms organizations with FME, the only All-Data Any-AI Enterprise Integration Platform connecting all your data, anywhere, at any velocity. With over 30 years of expertise and 25,000+ enterprise customers across 125+ countries, we simplify your data journey, wherever it leads. Founded in 1993, Safe is headquartered in Surrey, BC with over 300 team members and counting. We’re always looking for talented individuals with diverse backgrounds who are determined to learn and grow. Are you ready to join the team? OUR COMMITMENT TO DIVERSITY AND INCLUSION Safe Software is an equal opportunity employer and we truly believe that innovation and strength begin with diversity and inclusion. We welcome all candidates regardless of race, gender identity or expression, sexual orientation, age, ability, disability, national or ethnic origin, political belief, religion, or family status. Should you require accommodations during the recruitment process, please contact hr_dept@safe.com. NOTICE REGARDING USE OF AUTOMATED TOOLS IN HIRING At Safe Software, we use automated tools to help us process applications and identify qualified candidates. These tools may assist in screening resumes and summarizing interview content based on the information you provide. This helps our team review applications efficiently while ensuring every candidate is considered based on the requirements of the role. Please be assured that the final hiring decision is always made by a member of our team. For more information on how we protect your privacy, please see our policy https://www.safe.com/legal/#applicant-privacy-policy. If you have questions about this process, please contact us at hr_dept@safe.com.

Location: Remote, Canada; Remote, United States GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role As the Senior People Business Partner, Engineering, you'll be a strategic partner to senior Engineering leaders, including VPs and Senior Directors, helping them navigate change, mature their organizations, and build a healthy, high-performance culture. You'll focus on Engineering-specific challenges such as evolving job architecture and leveling, supporting executive leadership transitions, and driving consistency in how we develop, calibrate, and grow Engineering talent across distributed teams. In this role, you'll work globally, with a particular focus on supporting leaders across regions, and help make complex transformations clear and manageable for leaders and their teams. You'll report into the PBP organization and work closely with peers across the team, including current and former Engineering PBPs, to shape how GitLab's Engineering function operates as we continue to grow. You'll be expected to build trust quickly with senior Engineering leaders, contribute to Engineering-wide processes such as calibrations and offsites, and help bring cohesion to a leadership team that includes both tenured GitLab team members and newer leaders. This role is a good fit if you enjoy a fast-paced tech environment, are comfortable with ambiguity and change, and want to make a visible impact on how Engineering teams are structured, supported, and set up to deliver results. What You’ll Do Partner with senior Engineering leaders, including VPs and Senior Directors, to understand their organizations, priorities, and challenges, and translate these into clear people and business priorities. Drive and support job architecture changes in Engineering, including the introduction of new levels, to help leaders adopt and mature consistent role expectations and career paths. Lead and facilitate key Engineering people processes, such as calibrations, in close partnership with the PBP team and cross-functional partners such as Talent Management. Advise and coach Engineering leaders on topics such as organization design, change management, and navigating global teams, including regional considerations in EMEA. Work closely with other PBPs and Talent partners to share insights, align on approaches, and provide a consistent, high-quality experience for Engineering leaders and their teams. Use data and qualitative feedback to identify trends in the Engineering organization and recommend actions that improve effectiveness, engagement, and performance. Support the planning and execution of Engineering offsites and other key forums so leaders can align on priorities, make decisions, and move work forward efficiently. Drive key talent initiatives aligned with business outcomes. What You’ll Bring Experience as a People Business Partner or in a similar role supporting Engineering or technical organizations, ideally in a fast-paced tech environment of comparable size and complexity. A track record of partnering with senior leaders, including Senior Directors and VPs, building trusted relationships, influencing decisions, and providing clear, data-informed guidance. Experience supporting globally distributed teams, including working across multiple regions and time zones and navigating regional differences such as those in EMEA. Demonstrated ability to help organizations navigate through change or transformation, such as job architecture updates, leadership transitions, or shifts in team structure and culture, while balancing strategic work such as organizational design, leadership effectiveness, and culture initiatives with hands-on execution of core People processes. Strong coaching, communication and collaboration skills, including working asynchronously and partnering cross-functionally with Talent Acquisition, Total Rewards, and other People teams. Openness to learning GitLab's ways of working and applying transferable experience from related domains, such as Product or IT, while developing a deeper understanding of Engineering needs. Strong business acumen. About the team The Engineering People Business Partner (PBP) team supports GitLab's Engineering teams globally to build a high-performing, scalable, and globally distributed organization. You'll partner closely with senior leaders whose teams are based across the US and EMEA. You'll also collaborate asynchronously with other PBPs, Talent Management, and cross-functional partners to support organization design, performance and calibration processes, and ongoing culture and leadership development. The team is focused on maturing Engineering's people practices, creating cohesion across leaders at different stages in their GitLab journey, and helping the organization navigate major transformations in structure, ways of working, and leadership. You can expect quarterly travel for Engineering and PBP offsites and collaborative forums. This role also requires significant working-hours overlap with US Central or East Coast time zones to support the team's global operations. Candidates based in other locations who can accommodate these hours are welcome to apply. The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our benefits and equity . Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary. United States Salary Range $115,200 — $194,400 USD How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

Location: New York, NY (HQ) Workplace: Hybrid ABOUT RAMP Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $275B in annualized spend flows in and out of 85,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 7.5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. ABOUT THE ROLE Ramp's Financial Crime Compliance (FCC) team is looking for a senior investigator ready to shift from running cases to scaling the systems that run cases. You've built real depth in TM Alerts, AML Investigations, Complex Fraud, and EDD Reviews; you know what a good escalation looks like, where analysts get stuck, and where automation actually holds up in production versus just looks good in a demo. In this role, you'll spend most of your time partnering with Engineering and the Head of FCC Tooling to turn that judgment into scaled AI systems: testing model outputs, labeling and calibrating results, and making sure every automated decision point is well-documented and properly governed. You'll stay close enough to FCC's day-to-day workflows and will partake in some of them, but this is fundamentally a builder role.   WHAT YOU'LL DO - Partner directly with Engineering and the Head of FCC Tooling on automation experimentation and AI initiatives across TM, sanctions, complex fraud, and EDD, moving prototypes from one-off calibration exercises to defined, repeatable evaluation processes. - Design and run labeling and tagging workflows for model outputs (e.g., TM alert dispositions, sanctions/PEP hit review) building a structured, documented pipeline in place of today's ad hoc process - Define and maintain test sets, scenario coverage, and evaluation frameworks for compliance AI/agent tools in partnership with the engineers building them - Own the documentation and governance layer for every automated or AI-assisted decision point - Work with the FCC team to understand current workflows to guide innovative solutions - Recommend automation and AI adoption decisions with evidence and escalate control-posture or model-risk trade-offs to compliance leadership   WHAT YOU NEED - 5+ years of financial services experience in compliance, AML, or related regulatory advisory roles, preferably in fintech - Demonstrated senior-investigator experience across TM Alerts, AML Investigations, Complex Fraud, and EDD Reviews - Direct experience testing, labeling, or evaluating AI/ML model outputs, or strong aptitude and demonstrated fast ramp-up if new to formal model evaluation - Strong AI fluency and data analytics skills - Comfort partnering with engineers day-to-day and ability to translate compliance judgment into build specs, test cases, and evaluation criteria engineers can act on - Strong project management and documentation rigor - Ability to scope an ambiguous automation problem, choose an approach, and deliver a durable outcome with minimal oversight   NICE-TO-HAVES - Data science background - Experience working with outsourced testing/QA partners on model tuning or signal collection BENEFITS AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL) - Flexible PTO - Centralized home-office equipment ordering - Health and wellness stipend - Budget for intra-office travel - Weekly coffee stipend UNITED STATES - 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents - One Medical annual membership - 401(k), including employer match on contributions made while employed by Ramp - Fertility HRA (up to $10,000 per year) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay - Pet insurance - In-office perks: lunch, snacks, drinks, and more - Relocation expense coverage to NYC or SF (if needed) CANADA - Group medical, dental, and vision coverage through Sun Life - Life, AD&D, and disability coverage - Fertility drug coverage (up to $4,000 lifetime) - Group Retirement Plan with employer match (RRSP + DPSP) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay - Employee Assistance Program and virtual care through Lumino Health UNITED KINGDOM - Private medical insurance through Freedom Elite - Virtual GP and at-home care via eMed x Livi - Workplace pension through Penfold, with salary sacrifice option - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay REFERRAL INSTRUCTIONS If you are being referred for the role, please contact that person to apply on your behalf.   OTHER NOTICES Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.   Beware of recruiting scams: Ramp will only contact you through official @Ramp.com http://Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.   Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice

Location: London, United Kingdom Workplace: hybrid About The Role: We're looking for a Lead/Head of Transaction Monitoring (Enterprise) to own how Paysend detects suspicious activity across all products, corridors and payment methods, and to lead the TM Enterprise Program that modernises it. Objective and Key Results Objective (Q4 2026): AI-Powered Enterprise Financial Crime: build scalable, risk-based transaction monitoring Enterprise clients can submit legitimate transactions with minimal friction, suspicious transactions are correctly identified and declined, unnecessary RFIs are minimised, and transaction-monitoring performance is measurable and continuously optimised. Metrics clearly separate client-generated risk, Financial Crime controls and downstream payout execution, so TM declines are not confused with prefunding, network or technical failures, and stages reconcile without double-counting. Key Results you will be accountable for % Confirmed Fraud Rate of Enterprise-Initiated Transactions: Confirmed fraud transactions divided by total enterprise-initiated transactions, broken down by client, typology, transaction type and destination, and confirmed vs. suspected fraud. Gives clients an evidence-based view of the quality of the volume they submit. % Legitimate Transaction Straight-Through Processing Rate: Legitimate transactions processed without an RFI divided by total legitimate transactions submitted. The central measure of balance between risk protection and customer friction. % Enterprise TM Decision Quality: Combines confirmed-fraud prevention rate (stopped before payout), false-positive rate, and control coverage of material enterprise TM risks by documented, approved and tested controls. % Enterprise TM Investigation Efficiency: Median RFI time to resolution, % resolved within SLA, % with a clear documented decision, % outstanding beyond SLA, and RFI backlog and ageing. What you will own KRs and Initiatives: Own and deliver the Enterprise TM KRs and Initiatives, from definition and prioritisation through delivery, measurement and reporting to senior leadership. TM Enterprise Program: Lead the TM Enterprise Program end to end: scope, roadmap, milestones, budget, dependencies, risks and governance. TM framework: Own the enterprise-wide TM framework: scenario and rule coverage, thresholds, risk-based calibration, model governance and the rule lifecycle (design, test, tune, retire). Effectiveness and KPIs: Own the KPI and MI framework for detection effectiveness, alert quality, false positives, SAR/STR conversion, alert volumes, SLAs and team productivity. Regulatory assurance: Ensure TM meets AML/CTF and regulatory expectations across all licensed jurisdictions, and own TM readiness for audits, regulator reviews and partner due diligence. Team leadership: Build, lead and develop a high-performing TM team spanning analysts, rule owners and data/automation specialists. What you'll do Define strategy and OKRs: Set the enterprise TM strategy and multi-year roadmap, aligned to company OKRs and Paysend's financial crime risk appetite; translate it into measurable KRs and a prioritised initiative portfolio. Drive delivery: Lead initiative delivery as accountable owner: run planning, steering committees and status reporting; remove blockers, manage trade-offs and escalate material risks early. Strengthen detection: Oversee translation of typologies, risk assessments and regulatory change into detection scenarios and rules; ensure backtesting, simulation and impact measurement happen before release. Optimise performance: Drive tuning using alert, case and SAR feedback to improve catch rate and reduce noise, with clear trade-off thinking across risk, cost and customer friction. Automate and scale: Replace manual analysis and reporting with scalable pipelines and self-serve dashboards; apply advanced analytics and ML-based anomaly detection where they add value. Collaborate: Partner across the business: Product and Engineering: requirements, data needs, TM platform and rules-engine enhancements. Compliance and MLRO: policy alignment, risk assessments, regulatory reporting, audits and regulator engagement. Network and Partners: Visa and Mastercard program requirements, thresholds and monitoring; bank and partner due diligence. Operations and Investigations: alert-handling workflow, feedback loops, capacity and quality. Data and Analytics: data quality, lineage, model validation and reporting. Govern and report: Run the TM governance cadence: rule-change approvals, performance reviews, documented decisions and rationale, and regular reporting to senior management and committees. Stay ahead of regulation: Stay current on AML/CTF regulation, FATF guidance, PSD2/SCA and card scheme rules, and embed changes into controls and the roadmap. Manage vendors and budget: Manage vendor, tooling and budget for TM platforms, data sources and analytics. What you'll need Substantial experience in transaction monitoring and AML/financial crime, ideally in fintech, payments, money transfer or high-volume B2C, including leading a TM function or a large TM transformation. Proven track record owning OKRs/KRs and delivering multi-stream programs or initiatives, with strong planning, prioritisation and senior stakeholder management. Deep knowledge of TM scenario and rule design, tuning, threshold calibration, model governance and effectiveness testing, including backtesting and below-the-line testing. Strong understanding of AML/CTF regulation and expectations (e.g., FCA, EU AMLD/AMLR, FATF) and experience supporting regulator and auditor reviews across multiple jurisdictions. Solid grasp of fraud and financial crime typologies in cross-border payments, and awareness of emerging trends. Working knowledge of Visa and Mastercard monitoring programs and payment methods (cards, tokenization, Apple Pay, Google Pay, A2A, wallets). Data fluency: able to interrogate SQL/BI outputs, define KPIs and challenge analytical approaches; understanding of modern data platforms and automation. Experience leading and developing teams, including hiring, coaching and building clear ownership models. Ownership mindset: you spot problems, propose solutions and see them through without waiting to be asked. Clear communication and documentation, able to explain risk and data-driven decisions to technical and non-technical stakeholders, including executives. Nice to have Experience with rules engines, decisioning platforms or TM vendor solutions (selection, implementation, migration). Experience applying advanced anomaly detection (statistical, unsupervised or machine learning) to AML and fraud use cases, including model risk management. Hands-on SQL/Python background and experience building BI dashboards (Looker, Tableau, Power BI or similar). Familiarity with how financial crime operations run day to day, including case management and SAR/STR filing. Relevant certifications such as ACAMS, ICA or equivalent. What you'll achieve First 3 months Understand our products, corridors, TM framework, rules engine, data landscape and current KR/Initiative portfolio. Assess current TM coverage, effectiveness and regulatory exposure; identify the highest-priority gaps. Build relationships across Compliance, Product, Engineering, Network, Operations and Data. Confirm the TM Enterprise Program plan, governance and a baselined KR scorecard. By 6 months Run the TM Enterprise Program on an agreed roadmap with clear ownership, milestones and steering cadence. Launch a reliable KPI and MI suite for detection effectiveness, alert quality and team throughput. Deliver the first material coverage and tuning improvements, with documented performance reviews. Have the team structure and key hires in place. By 12 months Deliver the committed KRs and Initiatives, with measurable gains in detection effectiveness, false positive rate and operational efficiency. Be the recognised owner of enterprise TM, with a clean audit and regulator-ready evidence trail. Have introduced new detection approaches and automation that strengthen our compliance posture and scale with growth. Why Join Paysend? Make a Global Impact: Join a company that is transforming how people and businesses move money around the world. Your work will contribute to products and services that help millions of customers stay connected globally. Own Meaningful Outcomes: We empower our people to take ownership, make decisions, and drive real impact. You'll have the opportunity to shape solutions, challenge the status quo, and see the results of your work firsthand. Grow with Us: As a fast-growing global fintech, we offer opportunities to learn, develop new skills, take on new challenges, and advance your career across functions and geographies. Collaborate with Exceptional People: Work alongside talented colleagues from diverse backgrounds and disciplines who are united by a shared ambition to build, innovate, and deliver great outcomes for our customers. Move Fast and Make Things Happen: We value action, curiosity, and continuous improvement. You'll be part of a culture that encourages experimentation, embraces change, and focuses on delivering meaningful results. Be Part of Our Journey: We're building the future of the global money movement. Join us at an exciting stage of growth where your ideas, expertise, and contributions can help shape what's next.

Location: Remote Canada At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. As a Machine Learning Engineer on our team, you will be at the forefront of developing high-quality, production-ready models that play a central role in our decision-making processes. Your contributions will be instrumental in shaping our financial landscape. If you have a strong interest in machine learning and enjoy challenging work, Affirm is the place for you! What you'll do Use Affirm’s proprietary and other third party data to develop machine learning models that predict the likelihood of default and make an approval or decline decision to achieve business objectives Partner with platform and product engineering teams to build model training, decisioning, and monitoring systems Research ground breaking solutions and develop prototypes that drive the future of credit decisioning at Affirm Implement and scale data pipelines, new features, and algorithms that are essential to our production models Collaborate with the engineering, credit, and product teams to define requirements for new products What we look for 2+ years of experience as a machine learning engineer or PhD in a relevant field Proficiency in machine learning with experience in areas such as Generalized Linear Models, Gradient Boosting, Deep Learning, and Probabilistic Calibration. Domain knowledge in credit risk is a plus Strong engineering skills in Python and data manipulation skills like SQL Experience using large scale distributed systems like Spark or Ray Experience using open source projects and software such as scikit-learn, pandas, NumPy, XGBoost, Kubeflow Experience developing machine learning models at scale from inception to business impact Excellent written and oral communication skills and the capability to drive cross-functional requirements with product and engineering teams The ability to present technical concepts and results in an audience-appropriate way Persistence, patience and a strong sense of responsibility – we build the decision making that enables consumers and partners to place their trust in Affirm! Pay Grade - L Equity Grade - 5 Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills. Base pay is part of a total compensation package that may include monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents). In addition, the employees may be eligible for equity rewards offered by Affirm Holdings, Inc. (parent company). CAN base pay range per year: $133,000 - $183,000 Location - Remote Canada This remote role is open only to candidates residing in Alberta, British Columbia, Manitoba, New Brunswick, Newfoundland and Labrador, Nova Scotia, Ontario, Prince Edward Island, or Saskatchewan. #LI-Remote Remote-first with flexibility built in Affirm is proud to be a remote-first company. Most roles can be done from almost anywhere within the country of employment. Some positions may occasionally require in-person work at an Affirm office, and a few are office-based due to the nature of the work. All new hires will be invited to attend an in-person onboarding experience. Benefits designed for you Our benefits reflect our commitment to care, transparency, and flexibility. Here are a few highlights: Health coverage at no cost: We cover 100% of premiums for employees and their dependents. Spending stipends: Monthly stipends support your tech setup, and the ability to choose health and wellness options that are right for you. Time off to recharge: Flexible time off and generous holiday calendars help you rest when you need to. Own a piece of what you build: Our employee stock purchase plan (ESPP) lets you buy Affirm stock at a discount. We’re committed to providing an inclusive interview process, including accommodations for candidates with disabilities. If you need support, we’re happy to help. For positions based in San Francisco or Los Angeles: Affirm considers qualified applicants with arrest and conviction records, as required by law. By clicking "Submit Application," you acknowledge that you have read Affirm's Global Candidate Privacy Notice and consent to the use of your personal information as described.

— Design and run product experiments end to end - form hypotheses, define test duration and required sample size, assess whether the expected result is achievable, evaluate A/B tests and determine statistical significance;

Location: Denver, CO; Boulder, CO Workplace: OnSite ABOUT HALTER At Halter, we’re on a mission to enable farmers and graziers to run the most productive and sustainable operations. Our customers are using Halter to break free from the time-intensive constraints of conventional practices. Imagine watching 500 cattle stand up and walk calmly towards their next break? No quad bikes, no dogs, no fences. Just a group of cattle walking at their own pace. People say it looks like magic. Our customers are revolutionizing grazing with Halter. It's changing lives and transforming an industry. People join Halter to do meaningful work. By joining us you’ll be solving challenging problems within a talented team and a culture built for high performance. Our team out-think, out-work and out-care. We’re committed to delivering real change in the world - this isn’t easy, and in truth, we love that it’s hard. We’re backed to deliver on a mission that matters by Tier 1 investors including Founders Fund https://foundersfund.com, Bessemer Venture Partners https://www.bvp.com/, BOND, https://www.bondcap.com/ DCVC https://www.dcvc.com/, Blackbird https://www.blackbird.vc/, Promus Ventures https://www.promusventures.com/, Rocket Lab’s Peter Beck and Icehouse ventures https://www.icehouseventures.co.nz/?utm_term=icehouse%20ventures&utm_campaign=Brand+Keywords&utm_source=adwords&utm_medium=ppc&hsa_acc=4064636360&hsa_cam=16902737884&hsa_grp=134004309485&hsa_ad=592971340272&hsa_src=g&hsa_tgt=kwd-1082530126230&hsa_kw=icehouse%20ventures&hsa_mt=b&hsa_net=adwords&hsa_ver=3&gclid=Cj0KCQjw2v-gBhC1ARIsAOQdKY0J0DepRVFDmjQlAkJPbZuQnLSA5UVzUzOXYiPxkjX-SeVa513_BhkaAr-MEALw_wcB. To find out more, visit our LinkedIn https://www.linkedin.com/company/halter-limited & Instagram https://www.instagram.com/lifeathalter/. ABOUT THE ROLE: We’re looking for an experienced GTM Recruiter, US to join our People and Culture team. This is a pivotal role for someone who’s passionate about finding great talent and working across various markets. We fundamentally believe the biggest driver of company success will be the speed and quality of our hiring. It sets the foundation for everything else that we do to achieve our ambitious mission. You’ll play a hands-on role in attracting, sourcing, and hiring world-class talent to support our business as we scale globally. You’ll work closely with hiring managers to understand their team needs, anticipate upcoming roles, and manage end-to-end recruitment processes that ensure we bring in exceptional people who align with our mission and values. Reporting to the Talent Lead, GTM & Customer, you’ll focus on executing recruitment strategies, managing candidate pipelines, and delivering an outstanding candidate experience that reflects the calibre of our product and culture. This role is perfect for someone who thrives in a fast-moving environment, enjoys partnering closely with teams across the business, and wants to have a direct impact on how we grow. Please note this role is based out of our Boulder office. WHO WE'RE LOOKING FOR: - 8+ years in talent acquisition/recruitment, ideally in high-growth or global tech environments and multiple disciplines (even better if you have extensive experience recruiting GTM roles, specifically sales and marketing roles!) - Proven experience building and scaling high-performing teams across multiple regions. - Strategic business partner who can zoom in and out: from exec-level reporting to day-to-day hiring excellence. Strong interpersonal and stakeholder management skills, a true business partner to hiring teams. - Demonstrated success working in a fast-paced, high-volume hiring environment without compromising on the quality of talent we bring through the door. - You’ll have a deep knowledge of sourcing techniques and channels, and know what it takes to seek out the best talent globally. - Strong reporting and data skills; you’re able to track, analyse, and present key hiring metrics where needed. - Familiarity with employment laws, immigration requirements, and compliance across United States. - High emotional intelligence with excellent communication skills; a proactive, solutions-focused self-starter who thrives in ambiguity and takes strong ownership and accountability. WHAT YOUR DAY COULD LOOK LIKE: - Manage full-cycle recruitment for roles across regions and functions, from sourcing and screening to coordinating interviews and supporting offer processes. - Contribute to talent strategy and workforce planning, supporting forward-looking hiring plans, capability mapping, and future skill needs as the business scales. - Help shape and evolve our Employee Value Proposition (EVP), partnering with People & Performance and the business to ensure our story resonates in the market and reflects the real employee experience. - Build scalable recruitment practices and foundations, designing processes, tools, and ways of working that can flex across regions, functions, and increasing hiring volumes. - Upskill and enable hiring leaders, through coaching, training, and ongoing partnership to lift interviewing quality, assessment rigour, and hiring decision-making. - Support compensation benchmarking and market insights, contributing data and insights to inform fair, competitive, and consistent offers aligned to our compensation philosophy. - Partner on diversity, equity, and inclusion initiatives, helping embed inclusive hiring practices and broaden access to talent across all roles. - Represent Halter in the market, acting as an ambassador at events, universities, and industry forums to strengthen our talent brand. - Build and maintain strong candidate pipelines for current and future roles, proactively sourcing talent through multiple channels. - Work closely with hiring managers to understand role requirements, team goals, and key success profiles. - Provide guidance on hiring processes and help managers run smooth, effective, and inclusive recruitment cycles. - Deliver an exceptional, consistent candidate experience at every stage of the process, reflecting our culture and values. - Ensure all communication and interactions contribute positively to our employer brand. - Maintain our ATS and recruitment workflows to keep the hiring process efficient and organised. - Track and share key metrics like time-to-fill, pipeline progress, and candidate feedback to help improve our approach over time. - Support initiatives around internal mobility, diversity, and employer branding. - Look for opportunities to improve recruitment processes and tools as we scale. - We’re a fast-moving growth company, so from time to time, other responsibilities will pop up and you’ll be part of making it all happen! OUR BENEFITS: - Employee Stock Ownership Plan (ESOP): Own a part of Halter and share in our growth and success - Unlimited PTO: Take time off when you need it—no accrual required, available from day one - Employee Assistance Program (EAP) & paid wellness leave: Access confidential support through JustWorks plus 3 paid wellness days per year - Comprehensive health benefits: Medical, dental, and vision coverage starting the first day of the month after you join (with most premiums covered, including 100% of employee-only health premiums on select plans) - Personal growth fund: $750 USD per year to support learning, development, or personal growth goals - Parental leave: 16 weeks paid leave for birthing parents and 8 weeks paid leave for non-birthing parents - 401(k): 100% match on the first 3% contributed, plus 50% match on the next 2% (up to a 4% employer match), with immediate vesting - Onboarding travel to New Zealand: Fly to NZ for onboarding at Halter HQ in Auckland—meet the team, visit a test farm, and immerse yourself in all things Halter OUR OFFICE FIRST APPROACH Humans are wired for connection. Being office first is a core pillar of our culture because in-person connections drive your growth, learning, impact, and relationships. Strong relationships make it easier to disagree, give feedback, and do meaningful work together. We're office first, not office only. Working from the office is our default, but we flex when needed. We have a high-trust culture where everyone is trusted to do what's best for Halter. Our office vibe is special, the high energy and spectacular people make work enjoyable. Your growth and impact are unlimited here, coming from solving problems, innovating, and constantly learning from each other. JOIN OUR TEAM Halter is committed to promoting a diverse and inclusive workplace — a place where we can each be ourselves and do the best work of our lives. Research shows that while men apply to jobs when they meet an average of 60% of the requirements, women and under-represented groups of candidates tend to only apply when they meet every requirement. If you think you have what it takes but don’t necessarily tick every requirement on this job description, please still get in touch and apply to Halter. We’d love to chat to see if you’ll be an epic fit! If this opportunity sounds like you, please apply below by sending through your cover letter explaining why you’re excited about this role and working at Halter, along with your CV, and we’ll be in touch! Please also feel free to check out the careers page https://www.halterhq.com/careers for more information on working at Halter and don't forget to follow us on LinkedIn https://www.linkedin.com/company/halter-limited & Instagram https://www.instagram.com/lifeathalter/. WHY OUR TEAM LOVES WORKING AT HALTER: - Work that genuinely matters. Every now and again a company comes along that transforms an entire industry and leaves the world in a better place. Our team gets to be part of something truly meaningful, helping farmers improve their livelihoods, spend more time with their families, and build more sustainable operations. - Spectacular people solving hard problems. Our culture is designed for talented people to do work that changes lives. The team is filled with diverse, kind, and driven people who push each other to do their best work. You'll be thrown into the deep end, tackling complex challenges and building something tangible that solves real problems. - You'll grow here. Autonomy, mastery, and learning define how we work. You'll have the freedom to work on interesting problems, master new skills, and continuously develop yourself, both through your role and our personal growth fund. - This isn't easy, and we love that it's hard. Working at Halter will be the most rewarding and the most challenging work of your life. We move fast, take bold bets, and work hard to reshape an entire industry. As one team member put it: "Joining Halter is a bit like strapping yourself to a rocket ship, but it's an epic journey to be a part of!"

Location: San Francisco, CA or Seattle, WA Workplace: Remote ABOUT DOCKER Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout. We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default. _______________________________________________________________________ THE ROLE Docker AI Gateway is our answer to the complexity of taking AI agents from prototype to production. It’s a powerful, intelligent, and secure control point that eliminates the toil of model orchestration, tool management, observability, and governance—so developers can focus on building incredible AI agents, not gluing together infrastructure. The Gateway sits at the center of modern AI applications, offering: - A model and tool routing layer with built-in security and cost optimization - A familiar OpenAI-compatible interface and MCP server - Unified observability and policy enforcement - Auto-RAG, tool injection, session summarization, and more We’re just getting started—and we need exceptional engineers to help us build the backbone of the future of agent-based development. _______________________________________________________________________ WHAT YOU’LL DO - Design and implement core systems powering the AI Gateway, including the model router, MCP gateway, and control plane - Build infrastructure that supports dynamic model selection/routing, auto-failover, cost-based routing, and policy enforcement - Own critical capabilities such as secure credential storage, session summarization, caching, and rate limiting - Develop APIs for developers building with OpenAI-compatible interfaces and the Model Context Protocol - Build the underlying infrastructure to support evaluation, telemetry, replay, and backtesting for agents and LLM workflows - Lead architectural decisions and mentor engineers as the team scales - Performance tuning - caching, session summarization, and rate limiting that keep the gateway fast under real production load - Contribute to roadmap planning, technical strategy, and cross-functional alignment KEY PROBLEMS YOU’LL HELP SOLVE - Building a unified abstraction over fundamentally different model and tool providers without leaking their differences into the developer experience - Making credential and identity handling for tool access both airtight and fast - Giving developers real-time and historical visibility into what their agents are doing, with policy enforcement that can't be bypassed - Keeping latency low and reliability high as traffic scales from early adopters to production fleets - Take part in on-call rotation for your team, respond to incidents, debug production issues, and drive continuous improvement of system reliability _______________________________________________________________________ WHO YOU ARE Required Qualifications: - 6+ years of backend engineering experience with production-grade systems - Deep knowledge of distributed and highly scalable systems, cloud-native infrastructure, and API design - Experience building secure, high-throughput services (e.g., gateways, proxies, load balancers, policy engines) - Fluency in Go, and/or Rust (both preferred) - Familiarity with AI/ML platforms or model serving infrastructure - A strong product mindset—you're excited about building developer-facing tools - Ownership mentality with a bias for shipping, learning, and iterating - Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience Bonus Qualifications: - Prior experience with OpenAI, Anthropic, or similar LLM APIs - Familiarity with RAG architectures, vector databases, or agent frameworks (e.g., LangChain, AutoGPT, CrewAI) - Experience with policy engines (e.g., OPA), observability frameworks (e.g., OpenTelemetry), or API gateways - Understanding of OAuth2.1, secret management, and cloud IAM systems - Experience with Kubernetes, Docker, and microservices architecture _______________________________________________________________________ WHY JOIN US? - Work on what’s next: The agent era is just beginning. Help define the infrastructure stack for the next generation of software. - Own mission-critical infrastructure: Be part of a small team building the backbone of secure, intelligent agent applications. - Impact at scale: Your work will touch tens of thousands of developers building AI-first applications. - Engineering excellence: Join a world-class engineering team that values simplicity, code quality, and deep technical thinking. - Remote-first culture: Work from anywhere with a team that trusts and empowers you. Visa sponsorship: Docker considers visa sponsorship on a case-by-case basis based on business needs. _______________________________________________________________________   COMPENSATION & EQUITY All full-time roles include equity. Final compensation is determined on factors including but not limited to experience, skills, qualifications, and location. United States: $160,900 – $260,700 base ______________________________________________________________________ POSTING INFORMATION - Open vacancy: This posting is for an existing open role. - AI in hiring: Docker may use AI-assisted tools during our recruiting process. - Interview recordings: Candidates will be invited to opt in to interview recordings to support interviewer calibration and consistent evaluations. Recordings are optional and require explicit consent. ______________________________________________________________________ PERKS & BENEFITS - Remote-first by design – Work from your home, with offices in Seattle and Paris for connection and collaboration. - Flexibility that fits your life – We trust you to manage your schedule while delivering great work. - Time to recharge – Generous PTO, designated quarterly Whaleness Days, and a designated end-of-year Whaleness break. - Home office support – Set up your workspace for comfort and success. - Technology stipend – Equivalent to US$100 net per month to help support your work. - Learning & development – Annual stipend for conferences, courses, certifications, and continued learning. - Parental leave – 16 weeks of paid parental leave after six months of employment. - Equity for all full-time employees – Share in Docker's long-term success as we continue to grow. - Comprehensive benefits – Medical, retirement, and paid holidays vary by country. - Docker swag – Because representing the whale never gets old. Docker is proud to be an equal opportunity employer. We are committed to building a team that reflects a broad range of backgrounds, experiences, and perspectives. We believe diverse teams build better products, make better decisions, and better serve our global community. #LI-REMOTE

Location: San Francisco, CA or Seattle, WA Workplace: Remote ABOUT DOCKER Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout. We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default. _______________________________________________________________________ THE ROLE Docker AI Gateway is our answer to the complexity of taking AI agents from prototype to production. It’s a powerful, intelligent, and secure control point that eliminates the toil of model orchestration, tool management, observability, and governance - so developers can focus on building incredible AI agents, not gluing together infrastructure. The Gateway sits at the center of modern AI applications, offering: - A model and tool routing layer with built-in security and cost optimization - A familiar OpenAI-compatible interface and MCP server - Unified observability and policy enforcement - Auto-RAG, tool injection, session summarization, and more We’re just getting started and we need exceptional engineers to help us build the backbone of the future of agent-based development. _______________________________________________________________________ WHAT YOU’LL DO - Set technical direction for core systems powering the AI Gateway 0 the model router, MCP gateway, and control plane - and make sure architectural decisions hold up as usage scales by 10x - Consistently identify gaps in our infrastructure, process, or tooling before they become blockers, and drive the fix from idea to production - Take a significant, hands-on role in defining, delivering, and implementing the Gateway's technical strategy, in close partnership with engineering leadership - Own the hardest, highest-ambiguity problems in the system: dynamic model selection, auto-failover, cost-based routing, and policy enforcement that has to work end-to-end - Act as the go-to expert for secure credential storage, session summarization, caching, and rate limiting - the capabilities everything else depends on - Build the infrastructure that lets us, and our customers, evaluate, replay, and backtest agent and LLM behavior with confidence - Mentor senior and mid-level engineers, and raise the technical bar for the team through code, design review, and example - Partner with product, design, and leadership to shape not just what the control plane UI does, but where the product goes next KEY PROBLEMS YOU’LL HELP SOLVE - Define the unified abstraction layer across diverse model and tool providers (OpenAI, Anthropic, Google, AWS Bedrock) that the rest of the org builds on - Architect secure, scalable identity and credential vaulting for tool and model access, trusted enough to run at enterprise scale - Build the infrastructure for real-time and historical analytics of AI agent behavior that leadership and customers both rely on - Guarantee that policy enforcement and logging work end-to-end - from prompt to tool to response - with no gaps an auditor (or attacker) could find - Set the bar for developer experience through intuitive APIs and first-class observability - Take part in on-call rotation for your team, respond to incidents, debug production issues, and drive continuous improvement of system reliability _______________________________________________________________________ WHO YOU ARE Required Qualifications - 8+ years of backend engineering experience, with a track record of owning production-grade systems at significant scale - Deep specialization in distributed systems, cloud-native infrastructure, and API design - recognized by peers and cross-functional partners as a go-to expert, not just experienced - Experience building secure, high-throughput services (gateways, proxies, load balancers, policy engines), and a history of making judgment calls other engineers rely on - Fluency in Go and/or Rust - A track record of identifying systemic gaps - in architecture, process, or tooling-— and driving the fix across team boundaries, not just within your own - A strong product mindset, with real experience shaping technical direction rather than only executing against it - Comfortable operating with wide latitude: given a problem and significant autonomy in how to solve it, including when and who to pull in - Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience BONUS QUALIFICATIONS - Prior experience with OpenAI, Anthropic, or similar LLM APIs - Familiarity with RAG architectures, vector databases, or agent frameworks (e.g., LangChain, AutoGPT, CrewAI) - Experience with policy engines (e.g., OPA), observability frameworks (e.g., OpenTelemetry), or API gateways - Understanding of OAuth 2.1, secret management, and cloud IAM systems - Experience with Kubernetes, Docker, and microservices architecture - A track record of setting technical standards that other teams or engineers went on to adopt _______________________________________________________________________ WHY JOIN US? - Work on what’s next: The agent era is just beginning. Help define the infrastructure stack for the next generation of software. - Own mission-critical infrastructure: Be part of a small team building the backbone of secure, intelligent agent applications. - Impact at scale: Your work will touch tens of thousands of developers building AI-first applications. - Engineering excellence: Join a world-class engineering team that values simplicity, code quality, and deep technical thinking. - Remote-first culture: Work from anywhere with a team that trusts and empowers you. Visa sponsorship: Docker considers visa sponsorship on a case-by-case basis based on business needs. _______________________________________________________________________   COMPENSATION & EQUITY All full-time roles include equity. Final compensation is determined on factors including but not limited to experience, skills, qualifications, and location. United States: $170,350 – $275,550 base ______________________________________________________________________ POSTING INFORMATION - Open vacancy: This posting is for an existing open role. - AI in hiring: Docker may use AI-assisted tools during our recruiting process. - Interview recordings: Candidates will be invited to opt in to interview recordings to support interviewer calibration and consistent evaluations. Recordings are optional and require explicit consent. ______________________________________________________________________ PERKS & BENEFITS - Remote-first by design – Work from your home, with offices in Seattle and Paris for connection and collaboration. - Flexibility that fits your life – We trust you to manage your schedule while delivering great work. - Time to recharge – Generous PTO, designated quarterly Whaleness Days, and a designated end-of-year Whaleness break. - Home office support – Set up your workspace for comfort and success. - Technology stipend – Equivalent to US$100 net per month to help support your work. - Learning & development – Annual stipend for conferences, courses, certifications, and continued learning. - Parental leave – 16 weeks of paid parental leave after six months of employment. - Equity for all full-time employees – Share in Docker's long-term success as we continue to grow. - Comprehensive benefits – Medical, retirement, and paid holidays vary by country. - Docker swag – Because representing the whale never gets old. Docker is proud to be an equal opportunity employer. We are committed to building a team that reflects a broad range of backgrounds, experiences, and perspectives. We believe diverse teams build better products, make better decisions, and better serve our global community. #LI-REMOTE

Location: Boston Workplace: Hybrid WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW The Business Recruiter, GTM partners with Harvey's go-to-market leadership to attract and close top talent across Sales, Customer Success, Partnerships, and Revenue Operations. Sitting within the Talent organization under the North America Business Recruiting team, this role owns full-cycle recruiting for some of Harvey's highest-volume and most strategically critical functions. The Senior Business Recruiter drives hiring velocity and pipeline quality while operating as a trusted advisor to hiring managers navigating rapid growth across multiple geographies. They partner cross-functionally with Recruiting Operations, People Business Partners, and Sales leadership to ensure process rigor without sacrificing speed or candidate experience. This is an opportunity to shape how a category-defining AI company builds its revenue engine during a period of exceptional growth. WHAT YOU'LL DO - Own full-cycle recruiting for GTM roles across Sales, Customer Success, Partnerships, and Revenue Operations — from sourcing through close — across multiple North American locations. - Build and maintain high-quality, diverse candidate pipelines through proactive sourcing, referral cultivation, and market mapping. - Serve as a strategic partner to hiring managers: leading intake meetings, setting calibration bars, advising on market conditions, and resetting expectations when needed. - Drive process improvement and operational excellence — identifying bottlenecks, implementing scalable workflows, and tracking recruiting metrics to inform decisions. - Manage competing priorities across multiple open requisitions while maintaining a high-touch candidate experience and meeting aggressive hiring timelines. WHAT YOU HAVE - 4+ years of full-cycle recruiting experience, with a meaningful portion supporting GTM or business functions (Sales, CS, RevOps, Partnerships) at a high-growth technology company. - Demonstrated ability to partner with senior hiring managers, influence decisions with data, and manage stakeholder expectations in a fast-paced environment. - Strong sourcing toolkit and a creative approach to building pipelines in competitive talent markets. - Excellent project management skills with the ability to juggle multiple requisitions, drive process improvements, and maintain attention to detail under pressure. - Clear, confident communication skills and high emotional intelligence — comfortable navigating ambiguity and competing priorities with poise. COMPENSATION $96,000 - $145,000 USD DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74. #LI-NB1 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Location: Remote - India AI Engineer - ASR: PraDigi, a Pratham Initiative 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 reaches approximately 7.5 million children annually across 23 Indian states and union territories and an additional 1 million across 31 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 Anytime Testing Model (ATM), an AI-enabled question generation and grading system that allows learners to be assessed on any topic, anytime; PadhAI: Reading Assessment App, which uses advanced speech recognition to evaluate children’s reading fluency in Hindi and eight Indian languages; and a suite of LLM-powered chatbots designed for diverse learning contexts: from BaalSakhi for early childhood care, to a skilling interview bot for 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. Description of the Role Pratham International, through its wholly-owned subsidiary in India (PULS Pvt. Ltd.), is looking to hire an AI Engineer for the PraDigi Initiative. As an ASR Engineer, you will lead the development and deployment of speech recognition systems for automated reading assessment across multiple languages.  The engineer will work across the full ASR pipeline: from supervising data collection, annotation, data preparation and model training to decoding, alignment, error analysis, and deployment. This is a hands-on role at the intersection of speech recognition, multilingual NLP, and educational assessment. Key responsibilities include: Data Collection and Annotation Provide technical inputs to speech data collection design, including sampling across languages, dialects, age groups, reading levels, recording environments, devices, and target items to ensure the dataset is representative and useful for model training and evaluation. Define annotation guidelines and quality checks for transcripts, reading errors, disfluencies,  background speech and other phenomena relevant to reading assessment. Work with data and field teams to identify data gaps and annotation inconsistencies through model error analysis, and recommend targeted additional data collection or re-annotation where needed. Help design annotation schemas and inter-annotator quality processes so labels are consistent enough for model training, alignment, and evaluation. Model Training Train, fine-tune, and evaluate ASR models for children’s read speech across multiple languages and accents. Build pipelines for audio preprocessing, segmentation, normalization, transcription alignment, and model training. Adapt existing ASR architectures such as Whisper, wav2vec 2.0, Conformer, CTC/RNN-T, or similar models for reading assessment. Optimize models for practical deployment environments, including low-bandwidth, store-and-forward, server-based, and potentially offline/mobile inference. Adopting for Reading Assessment Develop approaches for accurately detecting substitutions, omissions, insertions, repetitions, partial-word attempts, hesitations and self-corrections. Implement forced alignment, phoneme-level alignment, or pronunciation-scoring approaches where required. Conduct systematic error analysis by language, reading level, age, accent, gender, recording conditions, and device. Collaborate with assessment experts and field teams to translate model outputs into measures such as reading accuracy, WCPM, fluency, and reading level. Benchmarking Define and track ASR metrics relevant to reading assessment, including WER/CER, word-level accuracy, error-detection precision/recall, alignment accuracy, and reading-score agreement with human evaluators. Build reproducible experimentation and model-evaluation pipelines and maintain clear technical documentation. Desired Experience and Qualification We are looking for an AI/ML Engineer with ASR expertise that can own the ASR based reading assessment pipeline across multiple languages A Degree in any Mathematics/Computer Science/Data Science or related STEM field 3-5 years of full-time experience; at least 2 working in an AI/ML role Strong experience in automatic speech recognition, speech processing, or spoken-language technologies. Strong Python skills and experience with PyTorch or similar deep-learning frameworks. Experience working with modern ASR architectures and toolkits such as Hugging Face Transformers, NeMo, Kaldi, or equivalent. Understanding of ASR concepts including: -acoustic modelling -CTC / transducer / encoder-decoder architectures -decoding and beam search -language models -forced alignment -phoneme representations -WER/CER and ASR error analysis Experience preparing and working with large-scale audio and transcription datasets. Ability to diagnose model errors systematically rather than relying only on aggregate transcription accuracy. Why join us? Impact at a Global 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. Unique Technical Challenges : We apply advanced machine learning where it is needed most. You will solve "last-mile" problems—such as training ASR models on children's voices and optimizing LLMs for offline, low-bandwidth environments—that are rarely addressed in the commercial sector. 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. Employment Details Contract Type : Full-Time Employment Date of Joining : Immediate Work from Anywhere in India : We offer a flexible, remote-first work environment for candidates based anywhere in India. While you have the autonomy to work from where you are most productive, you will have the unique opportunity to travel to our field locations periodically. These visits are essential to see your models in the hands of learners and to gather the real-world feedback that drives our innovation. Competitive Remuneration : Salary is benchmarked against industry standards for AI roles and is commensurate with experience. As a global organization, we are committed to providing a package that recognizes the high-market value of your technical expertise alongside the deep social impact of your work. To apply Fill out the form attached Shortlisted candidates will be contacted for further rounds Please refer to this Guidance on Candidates AI Usage by Anthropic to understand how to present yourself to Pratham International effectively Pratham International is an Equal Opportunity Employer We are dedicated to creating a diverse and inclusive workplace. We welcome applications from all qualified individuals, regardless of race, gender, disability, or any other legally protected status.