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Location: Remote - United States Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . We are seeking a senior backend software engineer to help build the app conversion signals that power Reddit’s app advertising business. You will work on MMP integrations, SKAN processing, and App CAPI to make app installs and in-app events more reliable, useful, and easier for advertisers to integrate. Role Description: Advertisers depend on conversion signals to understand campaign performance and guide investment. Missing events, duplicate delivery, inconsistent mappings, and difficult integrations can undermine that trust. Your work will improve the systems and diagnostics that make app signals usable for measurement and downstream ads systems. Responsibilities: Own backend projects across MMP, SKAN, and App CAPI, from requirements and design to implementation, rollout, and ongoing operation. Build scalable ingestion and processing services with clear contracts, validation, deduplication, failure recovery, and data lineage. Develop integration tooling and diagnostics that help advertisers and partners identify and resolve signal delivery problems. Analyze signal quality and delivery metrics, investigate discrepancies, and prioritize improvements with product and data science partners. Work with partner engineering and downstream consumers to evolve schemas and integrations without disrupting existing advertisers. Incorporate privacy and security requirements into system design, and maintain controls throughout the data lifecycle. Raise engineering quality through testing, design reviews, incident learning, and mentorship. Required Qualifications: Demonstrated senior-level backend software engineering experience delivering and operating scalable production systems. Hands-on app ads signals or mobile measurement experience, with depth in MMP integrations, SKAN, or app conversion APIs. Strong programming, API design, distributed systems, and SQL skills, supported by independent problem solving and data investigation. Clear communication and a record of delivering results with cross-functional teams and stakeholders. Benefits: 100% remote opportunity (we have 4 office locations for hybrid/onsite work preference in NY, SF, LA and Chicago) Comprehensive Healthcare Benefits and Income Replacement Programs 401k with Employer Match Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support Family Planning Support Gender-Affirming Care Mental Health & Coaching Benefits Flexible Vacation & Paid Volunteer Time Off Generous Paid Parental Leave #LI-AJ1 Pay Transparency: This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/ . To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below. The base salary range for this position is: $190,800 — $267,100 USD In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews. During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable.  We will not sell your personal information or disclose it to any third party for their marketing purposes.  We will delete any recording of your interview promptly after making a hiring decision.  For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors . Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve.  Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.

Location: Dallas, Texas, United States About Turing Turing’s mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality datasets, reinforcement learning environments, and frontier research benchmarks that improve model capabilities in software engineering, enterprise knowledge work, and advanced STEM reasoning. In software engineering, Turing is the largest and longest-running data provider in the category. Turing also works with Fortune 500 enterprises across financial services, life sciences, healthcare, retail, automotive, and CPG to build and deploy end-to-end agentic AI systems inside mission-critical workflows. By operating on both sides, Turing closes the loop between frontier research and enterprise deployment, turning real-world deployment signals into better data, evaluations, and more capable models. Learn more at www.turing.com . Role: Enterprise AI - Account Director - Consumer Packaged Goods Location: Dallas, TX, with client-site presence as required in the Plano, TX Area Experience Level: 8+ years; consumer packaged goods experience highly desirable Work Model: Hybrid, with regular client-site presence as required Why Join Enterprise AI? Enterprise AI is a distinct business unit within Turing focused on deploying AI systems that create measurable value for enterprise customers. As the Enterprise AI Account Director for a consumer packaged goods company, you will own an established custom engineering relationship both commercially and operationally. You will expand the account by identifying operations, supply chain, and commercial workflows where AI can create measurable value, selling those deployments, and overseeing delivery through a senior Forward-Deployed Engineer or delivery lead. This is a high-ownership role for someone who combines commercial instinct, enterprise credibility, and delivery leadership. As the Enterprise AI Account Director, You Will Expand the Client Relationship Build relationships across multiple buying centers and identify new sponsors and decision-makers beyond the current buyer. Identify AI Deployment Opportunities Assess the client’s operations, supply chain, and commercial workflows to identify two or three quantified opportunities where AI deployment can create measurable value. Sell Follow-On Work Translate identified opportunities into clear scopes of work and lead the expansion from discovery through client alignment and signed SOWs. Own Delivery Quality Maintain single-point accountability for the client relationship and business outcome. Oversee the embedded delivery team through a senior FDE lead or delivery lead. Manage Commercial Performance Own SOWs, pricing, margin, and delivery quality. Establish a written scope baseline and weekly issue log to maintain alignment across the client and delivery teams. Build Reusable Capabilities Harvest at least one reusable component from the engagement for Turing’s Enterprise AI platform. The Anti-Sell Commercial and delivery ownership: This is not a pure delivery or project management role. You will be expected to identify opportunities, sell follow-on work, own commercial terms, and remain accountable for the client relationship and outcome. Regular client presence: The role requires a willingness to work on site with the client regularly. High accountability: You will be responsible for connecting account expansion, commercial execution, and delivery quality. Our Enterprise AI Account Directors Typically Have Consumer packaged goods experience: Experience working in the consumer packaged goods industry, particularly with clients or operations based in the Dallas area, is highly desirable. Deep enterprise account ownership: Typically 8+ years of experience in enterprise technology delivery or consulting, with a track record of owning a named client relationship. Commercial expansion experience: Experience expanding an enterprise account across multiple buying centers and selling follow-on work, not only delivering initially defined projects. You should be comfortable owning SOWs, pricing, margin, and account growth. End-to-end delivery leadership: Experience overseeing delivery teams and maintaining single-point accountability for the client relationship, business outcome, and delivery quality. Recent AI or data deployment experience: Experience with AI or data deployments within the last two years, along with the ability to build trust with senior stakeholders, open conversations with new sponsors, navigate ambiguity, and communicate clearly across commercial, operational, and technical teams. Candidates whose experience is limited to delivery or project management without commercial ownership, or who lack recent AI or data deployment experience, will not be a fit for this role. Values We are client first: We put our clients at the center of everything we do, because their success is the ultimate measure of our value. We work at Start-Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfection We are AI forward: We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity. Advantages of joining Turing Work at the frontier of AI , helping the world’s leading AI labs improve their most advanced models by building expert datasets, RL environments, and first-of-a-kind benchmarks. Contribute to leading-edge AI research and showcase your work at top conferences such as ICLR, ICML, and NeurIPS. Bring frontier AI innovation to the enterprise , applying lessons learned from leading AI labs to solve real-world business challenges. Collaborate with and learn from exceptional colleagues with deep AI experience from Google, Meta, Amazon, and other leading technology companies. Move at the pace of AI innovation , with the speed, ownership, and impact of a startup. Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace  and celebrate authenticity, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. For applicants from the European Union, please review Turing's GDPR notice here .

Location: Canada, Waterloo, ON Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Sr. Software Development Engineer In Test, ML/AI At SIE, we believe in making play safer for everyone. Within our Information Security team, we protect our people, platforms, and products with smart, scalable, and thoughtful solutions. Our mission is to provide clear, actionable risk and security insights that guide the business and enable amazing player experiences. We’re building a team that thrives on collaboration, curiosity, and delivering real value. Come help us make a difference! Overview We are hiring a Sr Software Engineer in Test specializing in ML/AI quality, including automation for model evaluation, LLM-assisted test generation, and validation of AI-powered workflows. The role includes guiding quality strategy and developing automation frameworks. You will also manage implementation for complex, cross-functional, machine learning-powered products and services. This role involves more than test development. You will lead quality initiatives from start to finish, ensuring teams stay synchronized, dependencies are managed, and releases are delivered confidently. You will work closely with ML, engineering, product, and infrastructure teams. You will shape how quality is built, monitored, and expanded while leading embedded QE efforts within projects. What you’ll do Define and complete quality strategies, test plans, and automation coverage for ML-powered services and platform components. Use LLMs and other AI-assisted techniques to generate, expand, and maintain high-value test cases for ML-powered workflows. Design scenario-based test suites for AI features, including adversarial prompts, edge cases, ambiguous inputs, and underrepresented user scenarios. Lead QE efforts for multi-functional projects, driving risk assessment, dependency management, and release readiness. Design, develop, and maintain scalable automation frameworks for backend services, APIs, and ML inference systems using Python and/or Java. Build automated validation for ML and LLM outputs, including ranking behavior, score distributions, prompt/response quality, hallucination indicators, and probabilistic model evaluation. Debug test failures, service anomalies, model inconsistencies, and AI behavior regressions to identify root causes and drive resolution. Perform functional, integration, regression, API, end-to-end, performance, and reliability testing for distributed systems. Improve automation reliability, reduce flakiness, and optimize execution efficiency. Partner with engineering and ML teams to integrate automated testing into CI/CD pipelines and release workflows. Collaborate across teams to establish scalable quality standards, tooling, and guidelines. Required qualifications Bachelor’s degree in Computer Science or equivalent 5+ years of experience as an SDET or QE engineer focused on backend and distributed systems. Experience using LLMs to generate, transform, and prioritize test cases for AI-powered experiences. Experience with AI evaluation tooling, prompt evaluation frameworks, model monitoring, or human-in-the-loop review workflows. Strong experience testing RESTful APIs, microservices, and distributed architectures. Proficiency in Python, Java, JS or similar languages for automation development. Hands-on experience with automation frameworks such as pytest, JUnit, Selenium, Playwright, Cypress, or Appium. Experience with CI/CD systems and test pipelines (Jenkins, GitHub Actions, etc.). Experience with cloud and container technologies (AWS, GCP, Kubernetes, Docker). Familiarity with databases, monitoring, and observability tools. Strong understanding of SDLC, Agile methodologies, and release processes. Excellent problem-solving, debugging, and communication skills. Preferred qualifications Experience validating ML outputs using statistical analysis or scenario-based testing approaches. Familiarity with ML infrastructure, data pipelines, or model-serving platforms (Seldon, KServe, Ray Serve, etc.). Prior work in content moderation ML, security, fraud detection, or adversarial ML. Experience testing high-scale, low-latency online services. Experience with Databricks or similar ML platform tooling. Familiarity with Node.js, React, or modern frontend technologies. Experience testing mobile, console, or other non-PC platforms. What sets you apart Strong combination of automation engineering and delivery ownership. Ability to drive quality across complex cross-functional initiatives. Practical understanding of how to test non-deterministic AI systems and separate model variance from quality regressions. Proven risk management and dependency coordination skills. Ability to influence engineering teams and promote quality guidelines. Passion for scalable, reliable, and maintainable automation systems. At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location. In addition, this role is eligible for SIE’s top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click here to learn more. The estimated base pay range for this role is listed below. $114,900 — $172,300 CAD Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice (where applicable) for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

Location: Remote - United States Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . Team Description: The Ads Retrieval ML team builds the machine learning systems that identify relevant advertising candidates for Reddit users. Retrieval sits at the heart of the ads delivery funnel: before downstream ranking and auction decisions, our models determine which campaigns and ads are eligible to compete. We work on large-scale retrieval across multiple objectives, placements, and geographies. Our work combines representation learning, candidate generation, nearest-neighbor search, behavioral and contextual signals, and rigorous offline and online experimentation. Role Description: We are looking for a Staff Machine Learning Engineer to provide technical leadership for the Retrieval and Targeting ML team. You will lead the design and evolution of retrieval models and modeling practices that improve relevance, advertiser outcomes, and user experience at Reddit scale. This is an applied ML role centered on retrieval modeling and end-to-end product impact. You will be expected to stay close to the technical details—from data and objective design through model development, evaluation, experimentation, and launch—while setting direction for other engineers. Responsibilities: Define the technical direction and multi-year roadmap for ads retrieval modeling in partnership with engineering, product, data science, and ads stakeholders. Design, develop, and launch candidate-generation and retrieval models for campaigns and ads across Reddit’s advertising surfaces. Apply modern approaches such as two-tower architectures, representation learning, embeddings, sequence models, graph-based methods, and other deep learning techniques when they create meaningful product value. Improve the retrieval stack across key modeling decisions, including objectives, labels, sampling strategies, hard-negative mining, feature design, embedding generation, candidate filtering, and retrieval depth. Work with approximate nearest-neighbor and vector retrieval systems, reasoning about recall, relevance, freshness, diversity, coverage, latency, and cost trade-offs. Establish strong evaluation practices that connect retrieval metrics—such as recall, precision, candidate coverage, calibration, and downstream lift—to ads and user outcomes. Lead offline analysis and online experiments, interpret ambiguous results, and translate findings into the next modeling iteration. Partner with downstream ranking, ads platform, auction, measurement, and product teams to ensure retrieval models integrate effectively into the full ads funnel. Write design documents, review code and model changes, and raise the quality bar for modeling, testing, observability, and production ownership. Mentor ML engineers and help grow the team’s expertise in retrieval, recommendation, and representation learning. Required Qualifications: 7+ years of industry experience, including substantial experience building and shipping applied ML products. Deep experience with information retrieval, candidate generation, recommender systems, ranking, or related relevance problems. Strong understanding of retrieval modeling concepts, including DNN, embeddings, two-tower or dual-encoder models, approximate nearest-neighbor search, and multi-stage retrieval. Deep experience training, evaluating, debugging, and deploying deep learning models using TensorFlow, PyTorch, or similar frameworks. Demonstrated ownership of ML projects from problem framing and data preparation through offline evaluation, online experimentation, production launch, and iteration. Strong command of experimental design and model evaluation, including how offline retrieval metrics relate to downstream business and user metrics. Experience working with large-scale behavioral, contextual, or content datasets and complex feature pipelines. Strong software engineering fundamentals and the ability to write clear, reliable, maintainable production code. Technical leadership experience: setting direction, leading complex projects, influencing partner teams, and mentoring other engineers. Excellent written and verbal communication, with the ability to explain complex modeling choices to technical and non-technical audiences. Preferred Qualifications: Experience with ads retrieval, ads ranking, ad targeting, ad serving, recommendation, search relevance, or marketplace optimization Experience modeling user, content, campaign, or ad interactions with sequential, graph, or multimodal signals Experience connecting retrieval improvements to downstream ranking, auction, conversion, revenue, or user-experience outcomes Experience in ads marketplaces at peer companies Publications, patents, or industry contributions in applied ML or ranking systems Experience with sequential modeling (e.g., RNNs, Transformers) Benefits: 100% remote opportunity (we have 4 office locations for hybrid/onsite work preference in NY, SF, LA and Chicago) Comprehensive Healthcare Benefits and Income Replacement Programs 401k with Employer Match Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support Family Planning Support Gender-Affirming Care Mental Health & Coaching Benefits Flexible Vacation & Paid Volunteer Time Off Generous Paid Parental Leave #LI-AJ1 Pay Transparency: This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/ . To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below. The base salary range for this position is: $230,000 — $322,000 USD In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews. During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable.  We will not sell your personal information or disclose it to any third party for their marketing purposes.  We will delete any recording of your interview promptly after making a hiring decision.  For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors . Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve.  Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.

Location: London 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 Harvey is looking for a Compensation Business Partner to ensure our compensation philosophy, principles, and practices extend to all of our markets outside of the US, initially focused on EMEA and APAC. This will be our first Compensation Business Partner dedicated to our international business sitting within the EMEA region, and an opportunity to help shape how Harvey approaches compensation as we continue to scale globally. You’ll partner closely with our People Business Partners, Recruiting team, business leaders, and the broader Compensation team to ensure our programs remain competitive, thoughtful, and scalable across markets. We’re looking for someone who combines deep compensation expertise with strong business judgment. You should be equally comfortable analyzing market data, advising a recruiter on a complex offer, partnering with a PBP and developing a point of view on how Harvey should approach compensation in a new or rapidly evolving market. This is a highly collaborative role that will have a great degree of partnership across many functions. WHAT YOU'LL DO - Serve as the primary Compensation Business Partner for EMEA and APAC, developing deep context on our teams, talent markets, and hiring needs across the regions. - Partner closely with People Business Partners and business leaders on compensation decisions including new hires, promotions, internal mobility, and other complex compensation questions. - Build a particularly strong partnership with Recruiting, advising on offers, market competitiveness, and candidate-specific situations. - Help evolve Harvey's international compensation strategy as we scale, including our approach to geographic differentiation, market positioning, salary structures, and equity. - Bring deep equity expertise and help translate Harvey's equity philosophy across markets where candidate expectations and familiarity with US-style equity compensation can vary significantly. - Research emerging compensation practices and talent trends, particularly across the rapidly evolving AI market, and turn external data into clear recommendations for Harvey. - Conduct market analyses using compensation survey data and other sources, while applying judgment. - Partner with the broader Compensation team on compensation cycles, benchmarking, band development, and company-wide programs, ensuring international considerations are represented from the beginning. - Identify where our US practices translate internationally—and where they don't—and proactively recommend changes as Harvey enters and scales in new markets. - Help build the infrastructure, principles, and enablement that will allow Harvey's international compensation approach to scale. WHAT YOU HAVE - 5-7+ years of experience in compensation - Experience supporting international compensation across EMEA and/or APAC. - Experience working for a US-headquartered company, with a strong understanding of how global compensation programs are designed and adapted for international markets. - Meaningful experience with equity compensation, including the ability to explain and advise on equity in markets with different norms and expectations. - Experience in a high-growth startup or scale-up environment; you are comfortable building while the company and market are changing around you. - Strong knowledge of compensation fundamentals including market benchmarking, salary structures, job leveling, offers, promotions, retention, and pay decisions. - Exceptional business partnership skills. You can build trust with leaders, PBPs, and recruiters while being willing to challenge assumptions. - Strong analytical skills paired with excellent judgment—you know when the data is telling you something and when it requires additional context. - Intellectual curiosity and a genuine appetite to become an expert on the AI talent market, including proactively researching competitors, compensation trends, and emerging practices. - Comfortable operating with ambiguity and building new approaches rather than relying on an established playbook. - Ability to communicate complicated compensation concepts simply and credibly to audiences with very different levels of compensation expertise. 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-LE1 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: San Francisco; New York City Workplace: Hybrid We're hiring a Compensation Lead to build Perplexity's compensation function and own its day-to-day execution. You'll build the programs and processes that support how we hire, recognize, and retain people. You should be comfortable moving between program design and an individual offer, building longer-term structure while keeping today's decisions moving. The goal is a compensation approach that is competitive, financially sound, and clear enough for people to use, without adding unnecessary complexity. WHAT YOU'LL OWN - Build the compensation foundation. Assess existing practices, data, and tools; prioritize the gaps; and develop recommendations on compensation philosophy, market positioning, and cash and equity guidelines. - Develop salary ranges and market benchmarks. Establish a consistent approach to pricing roles across functions and locations. Partner with People and business leaders on job scope and leveling, and explain where market data is useful or incomplete. - Own day-to-day compensation decisions. Be the primary partner for offers, promotions, pay adjustments, and compensation questions. Evaluate recommendations against market data, internal equity, and budget, with clear approval paths for exceptions. - Design and run compensation reviews. Build the calendar, planning models, manager guidance, and approval process. Coordinate with Finance, People Operations, Payroll, and equity partners to carry decisions through to accurate implementation. - Inform leadership decisions. Model the cost and employee impact of proposed changes to salary and equity programs. Present a recommendation and its trade-offs, then own execution once approved. - Identify and address inconsistencies. Assess pay compression and potential inequities across teams, levels, and locations. Partner with People leadership and Legal on appropriate reviews and recommend actions. - Build processes people can use. Establish decision records, recruiter and manager guidance, and clear explanations of compensation programs. Improve recurring workflows so consistent decisions don't depend on individual knowledge or one-off conversations. - Own the data and tools behind the work. Establish reliable compensation records, select and manage benchmarking resources, and improve reporting and quality checks. Use approved automation and AI tools where they help, with appropriate protection for employee information and verification of results. WHAT YOU BRING - Experience building compensation programs: You've established or substantially rebuilt compensation frameworks and processes with limited infrastructure, and stayed accountable for running them after launch. - Technical compensation depth: Hands-on experience with market pricing, salary ranges, cash and equity programs, compensation reviews, and individual pay recommendations. - Strong analytical judgment: You can build and audit models, reconcile imperfect data, and explain your assumptions. You know when a benchmark is a useful comparison and when it misses the role. - Ability to influence decisions: You can turn analysis into a clear recommendation, discuss trade-offs with leadership, and constructively challenge an approach that isn't working. - Independent, hands-on execution: You can set priorities, build a workable process, and manage urgent requests without losing progress on longer-term work. You're comfortable being both the person designing the program and the person checking the data. - Discretion and clear communication: You handle sensitive information carefully and explain compensation decisions in language that recruiters, managers, and employees can understand.

Location: San Francisco; New York City Workplace: Hybrid We're hiring a Compensation Lead to build Perplexity's compensation function and own its day-to-day execution. You'll build the programs and processes that support how we hire, recognize, and retain people. You should be comfortable moving between program design and an individual offer, building longer-term structure while keeping today's decisions moving. The goal is a compensation approach that is competitive, financially sound, and clear enough for people to use, without adding unnecessary complexity. WHAT YOU'LL OWN - Build the compensation foundation. Assess existing practices, data, and tools; prioritize the gaps; and develop recommendations on compensation philosophy, market positioning, and cash and equity guidelines. - Develop salary ranges and market benchmarks. Establish a consistent approach to pricing roles across functions and locations. Partner with People and business leaders on job scope and leveling, and explain where market data is useful or incomplete. - Own day-to-day compensation decisions. Be the primary partner for offers, promotions, pay adjustments, and compensation questions. Evaluate recommendations against market data, internal equity, and budget, with clear approval paths for exceptions. - Design and run compensation reviews. Build the calendar, planning models, manager guidance, and approval process. Coordinate with Finance, People Operations, Payroll, and equity partners to carry decisions through to accurate implementation. - Inform leadership decisions. Model the cost and employee impact of proposed changes to salary and equity programs. Present a recommendation and its trade-offs, then own execution once approved. - Identify and address inconsistencies. Assess pay compression and potential inequities across teams, levels, and locations. Partner with People leadership and Legal on appropriate reviews and recommend actions. - Build processes people can use. Establish decision records, recruiter and manager guidance, and clear explanations of compensation programs. Improve recurring workflows so consistent decisions don't depend on individual knowledge or one-off conversations. - Own the data and tools behind the work. Establish reliable compensation records, select and manage benchmarking resources, and improve reporting and quality checks. Use approved automation and AI tools where they help, with appropriate protection for employee information and verification of results. WHAT YOU BRING - Experience building compensation programs: You've established or substantially rebuilt compensation frameworks and processes with limited infrastructure, and stayed accountable for running them after launch. - Technical compensation depth: Hands-on experience with market pricing, salary ranges, cash and equity programs, compensation reviews, and individual pay recommendations. - Strong analytical judgment: You can build and audit models, reconcile imperfect data, and explain your assumptions. You know when a benchmark is a useful comparison and when it misses the role. - Ability to influence decisions: You can turn analysis into a clear recommendation, discuss trade-offs with leadership, and constructively challenge an approach that isn't working. - Independent, hands-on execution: You can set priorities, build a workable process, and manage urgent requests without losing progress on longer-term work. You're comfortable being both the person designing the program and the person checking the data. - Discretion and clear communication: You handle sensitive information carefully and explain compensation decisions in language that recruiters, managers, and employees can understand.

Location: United States, San Mateo, CA Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Audience Business Analyst San Mateo, CA (Collab) In this role you will be an analyst on SIE’s Growth, Media, and Omnichannel Marketing team; specifically, as a part of the Audience, Infrastructure, and Measurement (AIM) team. You will play a vital role in shaping and evolving the way we communicate with our consumers. AIM Analysts bring a diverse range of expertise, spanning SQL development and audience strategy to product leadership and process optimization. While AIM analysts have clear areas of expertise, every member of the team has the opportunity to learn and grow new skills outside of their specialty by contributing to all areas of AIM. We are looking to fill a new Audience Business Analyst role on the AIM team, specializing in audience strategy, operations, and activation for our Live Service business. You will further enable our global marketing organization to use our first party data to put the customer first in all our marketing communications. Together as gamer and customer experience advocates, we can show how PlayStation is truly the Best Place to Play! Primary Responsibilities Collaborate with marketing and agency partners across all marketing regions as the subject matter expert on our ecosystem of data to create custom segments and support campaign executions supporting player acquisition, ongoing engagement, and retention Advise partners on campaigns, using data-based insights from AIM, marketing analytics, data science models, and consumer research Work as part of our AIM SCRUM team to deliver value to audience activation, while also analyzing and employing operational optimizations that bring our operations to scale across all our owned and paid marketing channels Manage ad-hoc and automated customer lists to power PlayStation’s digital marketing channels globally Ensure the efficient and successful delivery of all customer segments to global marketing platforms Partner with Martech product teams to translate business needs into actionable requirements and feature enhancements for marketing platforms. Qualifications: Ability to collaborate and communicate effectively with a diverse group of established partners including marketing, product/engineering teams, and agencies across different regions and cultures Experience with working with a variety of marketing platforms and channels, including but not limited to email, paid media, and custom tools Experience working with martech/adtech platforms (Salesforce Marketing Cloud, DMPs, Publisher and Social Partners, etc) Executed analysis projects related to lifecycle marketing, targeting segmentation strategies, cohort analysis and tracking, churn prevention, A/B and multivariate tests, and reporting dashboard design and development SQL programming experience required 3 years’ experience working with relational databases 5 years' marketing operations experience Bachelor’s degree or equivalent Well-spoken with strong presentation-making skills that effectively present data in a compelling way, both verbal and written, to influence partner strategy Demonstrates understanding of analytical approaches—can set up clean testing frameworks for clear and meaningful measurement reporting downstream Passionate about gaming and video game culture Experienced with BI visualization tools such as Domo and Tableau You are an analytical problem solver who is data driven, with a can-do attitude and flexibility to accommodate evolving business needs You thrive in a collaborative work environment and excel under pressure, with experience working on complex, international, large-scale, time-critical projects You are flexible and versatile in nature, able to overcome challenges while maintaining a positive attitude You are willing to roll up your sleeves to take on tasks with the team At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location. In addition, this role is eligible for SIE’s top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click here to learn more. The estimated base pay range for this role is listed below. $136,300 — $204,500 USD Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice (where applicable) for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

Location: New York, US [Hybrid] Workplace: OnSite BUILDING THE FUTURE OF OPEN FINANCE Payward - the parent company behind Kraken, NinjaTrader, Breakout, xStocks, Payward Services and CF Benchmarks - has spent the last 15 years building one of the most modern and globally accessible financial infrastructure platforms in the industry, built to advance an open, global financial system. THE TEAM Founded in 2011, Kraken is one of the world's longest-standing crypto platforms, trusted by over 10 million individuals and institutions across the globe. It offers spot trading, margin, futures, staking, and OTC services, with products built for both individual investors and institutional clients.   We are looking for a Data Centre Operations Engineer to join our expanding Infrastructure Operations team. Data Centre Operations is a ‘hands-on’ role that is critical to the continuing success of Kraken; you will join a highly motivated team that is responsible for managing the entire network and compute infrastructure for one of the world’s leading Cryptocurrency exchanges. We are looking for a dynamic and innovative self-starter with the ability to think “outside of the box” to solve complex problems in a sustainable way. This role requires onsite work in New York/New Jersey area.   THE OPPORTUNITY - Performs expert preventive and corrective on-site maintenance on critical exchange infrastructure - Installs and configures complex server and networking systems - Provides comprehensive on-site facility support, including installation, decommissioning, and break/fix work - Manages contractors, subcontractors, and vendors to ensure compliance with site procedures - Responsible for maintaining site-level asset accuracy, documentation, and ITAM, NetBox (IPAM, DCIM) updates. Ensuring all documentation and rack layouts remain accurate, audit-ready, and traceable - Supports financial and capacity planning through cost projections and renewal tracking - Leads or assists in capacity planning to maintain adequate spare capacity and plan timely backfills - Assume on-call responsibilities and duties per the schedule & travel as needed to support physical data centre and office locations - Monitors, maintains, and troubleshoots physical infrastructure, including on-call and travel duties as required   WHAT YOU BRING - 3 + years experience of data centre operations in a highly security focused environment - 3 + years experience working in a large-scale data centre environment - Experience with power, cooling and airflow management of physical devices. - Basic knowledge of IP addressing and subnets/gateway configuration. - Demonstrated accountability for site or system ownership in a large-scale environment. - Physical network work: precise cabling and patching to a port map, choosing the right optics and cables, and ordering and removing cross-connects with colocation providers. - Change and access control: raising change tickets and working within maintenance windows. Site-access tickets, escorting visitors, and badge and door-controller faults. - Logistics: inbound shipment tickets, loading-bay handoffs, and shipping kit between sites. - New-site build-out: planning and executing new site installs, including rack layouts, patching and power plans, quote checks, and incident reports. This is project work as well as operations. - Multi-region work: collaboration across the US, EU, UK and APAC. - Strong documentation discipline and ability to maintain a single source of truth for assets, capacity, and dependencies. - Understanding of financial planning or forecasting in an operational context. - Ability to collaborate across teams and regions with transparency and professionalism. - Ability to perform under pressure with high attention to detail. - Physical labour skill, able to lift more than 25 kgs Unless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis. Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution. We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance. OUR COMMITMENT Payward is powered by people from around the world and we celebrate the diverse talents, backgrounds, contributions, and unique perspectives that everyone brings to the table. We hire based on merit, seeking out people with the right abilities, knowledge, and skills for the job. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgeable about crypto. We may ask candidates to complete job-related skills or work-style assessments as part of our hiring process. These assessments evaluate competencies relevant to the role and are applied consistently across candidates for similar positions. Results are considered alongside experience and interviews, and are not the sole basis for any employment decision. As an equal opportunity employer, we don't tolerate discrimination or harassment of any kind, whether based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status, or any other protected characteristic as outlined by federal, state, or local laws. Stay connected Follow us on X https://twitter.com/krakenfx Learn on the Kraken Blog https://blog.kraken.com/#:~:text=Enter%20your%20email%20address Connect on LinkedIn https://www.linkedin.com/company/kraken-exchange/ Candidate Privacy Notice https://www.kraken.com/legal/candidate-privacy-notice

Location: Chicago, IL; New York City, NY Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . We’re assembling a collaborative team of individuals to drive Reddit Ads product adoption within our Global Sales organization and with advertisers. The Product Adoption team’s mission is to accelerate and scale the adoption of priority products and features to drive advertiser success and revenue growth. Product Adoption team members are Reddit ads product evangelists and experts, and we are looking for our next team member to help us innovate and scale across our SMB business. In this role, you will be responsible for owning the end-to-end SMB product adoption motion, from identifying high-potential account / agency opportunities to building scaled programs and shaping vertical strategy. You will inherit an established operational foundation and help evolve the role into a more proactive, sales-focused motion that drives greater visibility, adoption, and revenue impact across the SMB segment. Your close partners will include Sales, PMM, Product, Strategy & Ops, Enablement, and other Product Adoption team members. You will help define which products and solutions matter most for SMB, build the reporting and insight cadence that gives SMB a stronger voice, and create the training, programs, and partner motions needed to drive adoption at scale. You will also play a key role in surfacing actionable market feedback to inform go-to-market and product direction. This role is required to be based in New York or Chicago. Why Join Reddit’s Product Adoption Team? Innovative environment: Be part of a high-impact team helping shape how Reddit scales product adoption across one of its most important growth segments. Career growth: This is an opportunity to step into a strategic role with visibility across Sales, PMM, Product, and Strategy & Ops, while helping define how SMB product adoption evolves at Reddit. Collaborative culture: Join a thoughtful, highly cross-functional team that values smart ideas, strong execution, and shared success. Responsibilities Drive SMB growth by identifying high-potential account opportunities and partnering with Sales teams to increase adoption of Reddit’s priority performance ad solutions. Build scaled programs that drive adoption across a large SMB advertiser base without requiring 1:1 account support, including onboarding, reactivation, and milestone-based outreach programs. Support SMB Sales teams based in the US and EMEA timezones. Own product adoption support for eCommerce partners, Shopify and WooCommerce, and identify activation, incentive, and training opportunities that improve partner-led adoption. Own the vertical strategy for SMB by defining priority product solutions, shaping goals, and developing clear points of view on where Reddit should focus to drive impact with SMB. Establish and maintain a proactive reporting cadence for SMB across program metrics, revenue pacing, product adoption, and vertical performance Where relevant, build adoption plans for top-opportunity SMB verticals/agencies/advertisers, supporting sellers with coaching, objection handling, and strategic product guidance. Synthesize field feedback, advertiser insights, and performance signals into clear recommendations for Sales, PMM, and Product partners. Act as a strong internal advocate for the SMB business, ensuring SMB advertiser needs, blockers, and opportunities are represented in cross-functional product and go-to-market discussions. Design and deliver vertical-specific training, sales enablement, and host office hours to help teams position and activate Reddit’s lower-funnel solutions. Support SMB advertiser council programming in partnership with PMM, helping surface product blockers, strong-potential accounts, and actionable insights that can influence roadmap decisions. Measure and communicate program effectiveness, including adoption, activation, engagement, and revenue impact, and identify where additional intervention is needed. Basic Qualifications 8+ years of experience in digital advertising, product adoption, sales strategy, ads go-to-market, revenue operations, or related fields Strong experience working cross-functionally across Sales, Product Marketing, Product, Enablement, and Operations teams Experience using data and market feedback to shape strategy, influence priorities, and drive measurable business outcomes Demonstrated ability to build scalable programs and processes for large customer segments rather than relying solely on one-to-one account support Strong understanding of performance advertising and product adoption motions within a digital ads environment Preferred Qualifications Experience working with SMB or scaled advertiser segments Experience with eCommerce or partner-led growth motions, ideally including platforms such as Shopify or WooCommerce. Strong analytical skills and comfort working with dashboards, reporting, and performance data to identify trends and opportunities. Excellent program and project management skills, with the ability to manage multiple strategic initiatives at once Strong written and verbal communication skills, including the ability to translate insights into clear recommendations for senior stakeholders A proactive, sales-minded approach paired with strong operational rigor and strategic thinking Benefits: Comprehensive Health benefits 401k Matching Workspace benefits for your home office Personal & Professional development funds Family Planning Support Flexible Vacation (please use them!) & Reddit Global Days Off 4+ months paid Parental Leave Paid Volunteer time off #LI-Hybrid #LI-NT1 Pay Transparency: This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and will also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/ . To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below. The base salary range for this position is: $182,000 — $254,800 USD In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews. During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable.  We will not sell your personal information or disclose it to any third party for their marketing purposes.  We will delete any recording of your interview promptly after making a hiring decision.  For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors . Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve.  Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.

Location: Warsaw Workplace: Hybrid ABOUT VOODOO Voodoo is a consumer tech company founded in Paris in 2013, with one mission: entertain the world. Today we are 1,000 people, generating $1b+ in annual revenue, profitably. Our games and apps have passed 7 billion downloads and reach 200 million+ active users every month, making Voodoo the #3 mobile publisher worldwide in downloads, after Google and Meta. We were backed by Goldman Sachs, Tencent and GBL along the way. This role will be on-site in Warsaw. TEAM You will be an integral part of a newly established internal studio, a dynamic and focused team dedicated to one of our most promising prototype in scale. This studio is specifically chartered to improve this high-potential game up to the successful and market-ready title it is meant to become. ROLE We’re seeking a talented and seasoned Game Designer who is deeply passionate about RPG/midcore games and laser-focused on creating the next big hit. With extensive experience in the industry, you'll play a pivotal role in delivering fun to millions of players. As the driving force behind the game's success, you'll ensure the game reaches the highest standards of quality and innovation. - Define a clear, cohesive design pipeline - Pitch and implement big features to the team, deconstructing them into smaller components - Own game balancing, pace, feel - Always back up your ideas with available data points - Ability to deconstruct and analyze mobile games mechanics - Get involved in all aspects of game development: UI, UX, Game Design, logic, performance, etc. - Fine-tune game balancing, pacing, and feel - Benchmark the market to stay on top of new trends - Understanding of models and tools to analyze gameplay and user behavior - Proficiency in Unity a huge plus - Familiarity with Figma or similar visual collaboration software - Able to create a playable prototype individually as well as within a team PROFILE - At least 5 years of professional experience in Game Development and at least 3 years as a game designer - Experience working on mobile games, F2P or RPG - Experience in designing LiveOps for a live product is a huge plus - Creative and hacker mindset - Good sense of gameplay experience, and special attention to detail - Communication skills in English, both written and verbal - Knowledge of casual games - Deep collaboration mindset, including excellent interpersonal and communication skills, and a positive mindset towards receiving, acting on, and giving feedback - Accountability, independence, and responsibility when given ownership over your work - An eagerness to learn new ways to perform your tasks in a more efficient way, and to improve yourself day after day - AI-first mindset: Comfortable using AI daily and building custom agents or reusable automations to speed up your work BENEFITS: - Best-in-class compensation - Other benefits according to the country you reside

Location: Remote Workplace: Remote STAFF PRODUCT MANAGER, PRODUCT DISCOVERY ENGINE ABOUT US Constructor powers product search and discovery for some of the largest retailers in the world. We serve billions of requests every week, and you’ve probably seen our results somewhere and used our product without knowing it. We differentiate ourselves by focusing on metrics over features, and reinventing search and discovery from the ground up as a machine learning challenge with the specific goal of improving metrics like revenue. We’re approximately doubling year over year despite the market slowing down and have customers in every eCommerce vertical. We’re a passionate team of technologists who love solving problems and want to make our customers’ and coworkers’ lives better. We value empathy, openness, curiosity, continuous improvement, and are excited by metrics that matter. We believe that empowering everyone in a company to do what they think is best can lead to great things. JOB SUMMARY We’re looking for a systems-minded Staff Product Manager to take Constructor’s search and discovery to the state of the art — and keep it there — across every retail industry we serve. This is a highly technical, high-leverage role at the core of our Product Discovery Engine chapter: the teams responsible for how we retrieve, understand, and rank the right products for every shopper, on every query, for every customer. Your job is to raise discovery quality and, through it, our customers’ business metrics. You won’t be measured on features shipped — you’ll be measured on relevance and business outcomes, like conversion, revenue per visit, and search-attributed GMV, moving up. You’ll start embedded with our Search Quality team, owning its strategy and roadmap and getting deep into the systems that decide what shoppers actually see. Over time, your mandate grows to setting direction for the entire Product Discovery Engine chapter — deciding where we’re heading and why across recall, ranking, query understanding, personalization, and the ML infrastructure underneath. This is a Staff role today with a clear path to Director as you take on chapter-wide leadership. Search at Constructor is fundamentally a machine learning problem, so this role lives and breathes ML. You’ll partner closely with ML, data science, and engineering to turn the latest research into production wins, keep us ahead of both commercial competitors and academic state of the art, and be the connective tissue that aligns multiple teams — ML Recall, ML Infra, and, over time, teams like CORE, SABR, and Catalog Management — behind a single, coherent vision for great discovery. If you’re excited about driving innovation across dozens of the world’s largest retailers, being held to relevance and business outcomes, and pushing an already best-in-class product further ahead, this role is for you. WHAT YOU’LL DO - Own business impact, not features. Drive measurable lift in search-attributed conversion, revenue per visit, and GMV alongside relevance across our customer base. - Deliver across every retail industry. Move quality and business metrics across all the verticals we serve, accounting for the differences in catalog, language, and shopper intent. - Keep us at the state of the art. Continuously translate the latest ML / IR research and competitive moves into production wins, and ship SOTA ML / LLM-assisted capabilities that beat our previous best on relevance. - Set chapter vision and strategy. Define the multi-quarter direction for the Product Discovery Engine — where we’re heading and why — tie it directly to customer business outcomes, and rally teams behind it. - Lead Search Quality first. Own its strategy and roadmap, driving measurable improvements in the relevance and correctness of results. - Orchestrate across the pipeline. Unify recall, ranking, query understanding, and personalization behind one definition of quality and one set of business metrics, so improvements compound instead of colliding. - Turn ML research into production wins. Partner deeply with ML and data science to take models — from candidate generation and recall to LLM-assisted interpretation — from idea to production, balancing accuracy, latency, and cost. - Make quality measurable and explainable. Build the metrics, evaluation frameworks, and tooling the whole chapter uses to measure, attribute, and explain discovery quality and its business impact. - Own quality under pressure. Lead investigation and triage when issues arise, and design durable, systemic fixes rather than one-off patches. - Grow the mandate. Expand into chapter-wide leadership spanning ML Recall, ML Infra, and — over time — teams like CORE, SABR, and Catalog Management. WHAT SUCCESS LOOKS LIKE Within your first year, you will have: - Driven measurable lift in search-attributed conversion and revenue per visit — moving business metrics, not just quality metrics. - Driven measurable business-metric lift (conversion, revenue per visit, GMV) and relevance lift across every major retail vertical we serve. - Shipped at least one state-of-the-art ML / LLM-assisted capability into production that beats our previous best on relevance. - Won head-to-head quality benchmarks against every major competitor in the verticals we compete in, with a repeatable, defensible methodology. - Taken core quality metrics to best-in-class levels and kept them improving quarter over quarter. - Stood up an evaluation framework and tooling that ties model and system investments directly to customer business outcomes. WHAT WE’RE LOOKING FOR - Extensive product management experience (typically 8+ years) in search, discovery, ML, or NLP-heavy products, including time operating at a senior or staff level. - A track record of moving business metrics at scale — conversion, revenue, engagement — not just shipping features, and of setting strategy across multiple teams. - Deep understanding of the end-to-end search pipeline: query interpretation → recall / candidate generation → ranking → reranking → personalization → delivery. - Strong ML product depth — owning production models and reasoning about tradeoffs between high-capacity (LLM / batch) and low-latency (real-time) approaches — and a habit of staying current with state-of-the-art research. - Fluency with retrieval and recall, query understanding (tokenization, synonyms, spelling correction, multilingual support), and search evaluation frameworks. - A rigorous, measurement-first mindset that ties every quality investment back to business outcomes. - Excellent cross-functional leadership — able to align teams with different goals behind a shared definition of quality and a shared set of business metrics, working shoulder-to-shoulder with engineering, data science, and ML Ops. - Comfort operating with ambiguity, setting direction where none exists yet, and leading through clarity and credibility rather than the org chart. BENEFITS - Unlimited vacation time — we strongly encourage all of our employees to take at least 3 weeks per year. - A competitive compensation package including stock options. - Company-sponsored US health coverage (100% paid for employee). - Fully remote team — choose where you live. - Work-from-home stipend! We want you to have the resources you need to set up your home office. - Apple laptops provided for new employees. - Training and development budget for every employee, refreshed each year. - Parental leave for qualified employees. - Work with smart people who will help you grow and make a meaningful impact. This position is fully remote — Constructor.io http://Constructor.io is a remote-first company. DIVERSITY, EQUITY, AND INCLUSION AT CONSTRUCTOR At Constructor.io http://Constructor.io we are committed to cultivating a work environment that is diverse, equitable, and inclusive. As an equal opportunity employer, we welcome individuals of all backgrounds and provide equal opportunities to all applicants regardless of their education, diversity of opinion, race, color, religion, gender, gender expression, sexual orientation, national origin, genetics, disability, age, veteran status or affiliation in any other protected group. How we handle your data. By submitting this application, you acknowledge that Constructor will collect and process the personal data you provide for the purpose of evaluating your candidacy for this role. If you are not selected, we will retain your data for a limited period as described in our Recruitment Privacy Notice https://constructor.com/recruitment-privacy-notice. After that period your data will be deleted or anonymized.

Location: Remote - Worldwide Workplace: onsite Coinspaid Dev is the engineering brand behind the technology, infrastructure, and R&D expertise built within Coinspaid. With more than 120 engineersand over 11 years of industry experience, Coinspaid Dev brings together software engineering, infrastructure, security and R&D teams with experience building distributed systems and blockchain infrastructure operating across more than 20 blockchain networks. Coinspaid Dev emerges as an independent engineering brand with a straightforward mission: to advance blockchain infrastructure engineering and contribute practical expertise back to the industry. The structure is new. The experience behind it is not. Position Description: We are looking for a Principal QA Engineer to take ownership of a company-wide QA system and lead its continued development. You will dive into the current processes, leadership model, automation and tooling direction, quality controls, and improvement roadmap; challenge existing approaches where needed, and drive the next stage of maturity across engineering domains. We need a senior technical leader who sees Quality Engineering as an engineering system, connects business and technical risks with practical changes in the SDLC, test architecture, automation, environments, release quality, and metrics, and turns systemic problems into measurable and sustainable improvements. This is a senior individual contributor role working primarily through QA Technical Leads and Senior QA Engineers and partnering with Engineering Managers, Product, Architecture, and DevOps/SRE, while remaining hands-on in high-impact reviews, pilots, and critical investigations. Responsibilities: Take ownership of the company-wide Quality Engineering strategy, operating model, and improvement roadmap; continue evolving them as products, risks, and organizational needs change. Assess Quality Engineering maturity across domains, identify systemic bottlenecks and inconsistencies, and prioritize the improvements with the highest company-wide impact. Define and evolve cross-domain standards and guardrails for test architecture, coverage, quality evidence, testability, observability, release readiness, and production validation. Drive continuous improvement of the end-to-end QA process and embed shift-left practices, quality controls, and risk-based gates across the SDLC together with Product, Engineering, Architecture, and DevOps/SRE. Own the strategic direction of the QA toolchain and automation architecture, and validate key technical decisions hands-on through code, prototypes, and architecture reviews across UI and backend automation. Python is preferred, while Go, Node.js, or another suitable stack is also relevant. Continuously benchmark market practices and emerging technologies, including AI; validate ideas through experiments and turn successful findings into company-wide transformation initiatives such as framework modernization, contract and performance testing, smarter test selection, and cloud-native test environments. Actively use AI in daily engineering work and advance its adoption across QA. Define scalable release-quality principles and provide technical recommendations for systemic, cross-team, or ambiguous quality risks. Lead cross-team investigations and root-cause analysis for critical incidents, unstable environments, systemic automation failures, and quality problems without a clear owner. Establish meaningful quality metrics and make trends, risks, technical debt, and improvement outcomes visible to engineering leadership. Develop QA Technical Leads as domain-level technical owners, strengthening their ability to translate company-wide direction into sustainable practices and decisions within their domains. Influence, align stakeholders, and translate business, regulatory, and operational risks into clear engineering priorities. Requirements: 8+ years in Quality Assurance / Quality Engineering, including technical leadership across multiple teams or domains. Experience defining QA strategy, standards, or large-scale transformations with measurable results. Deep knowledge of Quality practices risk-based testing, coverage strategy, shift-left, quality gates, testability, release readiness, and production quality signals. Strong hands-on programming experience and the ability to design and contribute to scalable UI and backend automation. Python is preferred, but strong experience with Go, Node.js, or another relevant stack is welcome. Strong experience with distributed backend systems, REST APIs, event-driven workflows, third-party integrations Experience with CI/CD, Docker/Kubernetes, cloud-native or GitOps environments, and observability tools. Ability to define useful quality metrics, communicate technical risk, and influence senior stakeholders A research-driven mindset, practical experience evaluating new technologies, and confident, responsible, and active use of AI tools in everyday engineering work. Good spoken and written English and Russian. Nice to have: Experience in fintech, crypto, payments, compliance, financial operations, or another regulated domain with complex integrations and high operational risk. Experience with Kafka, MQ, Debezium, ledger-like systems, eventual consistency, and event-driven architecture. Experience with contract, performance, load, resilience, or reliability testing. Why join CryptoProcessing by Coinspaid You’ll be joining a company that is actively shaping its space – with enough scale to matter and enough room to make an impact. At Coinspaid, people are expected to think, contribute, and take ownership – and are supported in doing so. We focus on flexibility, wellbeing, and long-term growth – without overcomplicating how benefits work. Flexible Benefits Benefit Bar – up to €230/monthA flexible monthly budget you can use for what matters most to you – from sports and mental health to coworking, home office, or medical-related expenses. Work & Flexibility Fully remote work from almost anywhere Optional offices and relocation support Flexible, async-friendly environment Growth & Learning Budget for courses, certifications, and professional development Language learning support Cross-team learning and knowledge sharing Wellbeing & Support Medical insurance or reimbursement depending on location Access to mental health support Financial support for important life events Extras Merch shop with rewards system Team offsites and company events Sounds good? Well then, we can’t wait to see your resume! To learn more please visit: https://coinspaid.com/about-us/ & https://coinspaid.com/careers/

Location: Vilnius 500M+ downloads. 80M+ monthly users. A decade of building – and we’re still accelerating. Flo is the world’s #1 health & fitness app worldwide on a mission to build a better future for female health. Backed by a $200M investment led by General Atlantic, we became the first product of our kind to reach a $1B valuation in 2024 – and we’re not slowing down. With 7M paid subscribers and the highest-rated experience in the App Store’s health category, we’ve spent 10 years earning trust at scale. Now, we’re building the next generation of digital health – AI-powered, privacy-first, clinically backed – to help our users know their body better. The job As a Senior Growth Product Manager – Core Monetisation at Flo, you’ll own the strategy and execution of initiatives that directly maximise user lifetime value. Your focus will be on pricing, paywall experience, and offer segmentation and personalisation, the core levers driving Flo’s revenue growth. You’ll collaborate cross-functionally with analysts, designers, researchers, and engineers to design and optimise how users convert to Premium. This role has significant strategic visibility and you’ll work closely with the company product leadership to shape Flo’s monetisation roadmap and ensure our pricing and paywall strategy continues to set the benchmark in the health and wellness space. This role is pivotal to reinforcing Flo’s position as a global leader in health and fitness, and as the world’s first fully digital female health unicorn. Your Experience Must have: Proven experience developing pricing and subscription plan segmentation strategies to maximise LTV. Strong track record of designing high-converting paywall experiences and personalising monetisation flows based on user segments. Hands-on experience leveraging offers, discounts, add-ons, and subscription tiers to drive revenue growth and optimise monetisation performance. Experience coordinating paywall campaigns, experiments, and launches across the app in close collaboration with cross-functional teams. Deep expertise in A/B testing and experimentation, validating assumptions, and translating results into actionable monetisation improvements. Experience working cross-functionally with engineering, design, analytics, and marketing teams to deliver measurable business impact. Excellent analytical and problem-solving skills, with the ability to translate data into insights and make informed, evidence-based decisions. Comfort working in a fast-paced, high-experiment environment with shifting priorities and multiple competing demands. You thrive in dynamic settings and are energised by experimentation at scale. Nice to have: Experience managing monetisation for a B2C app. Experience with monetisation automation and machine learning techniques. What you'll be doing You'll be responsible for: Analysing and identifying opportunities to optimise paywalls and pricing across regions, segments, and platforms to maximise user lifetime value and profitability. Defining and implementing pricing strategies and tactics for subscriptions, complementary products, and add-ons, ensuring alignment with Flo’s business goals and market dynamics. Designing and optimising paywall experiences and other monetisation mechanics to maximise conversion rates and deliver a seamless, high-performing upgrade journey. Developing and executing targeted pricing and offer strategies for lifecycle moments and seasonal campaigns to unlock incremental revenue during key periods. Partnering closely with engineering, design, analytics, and finance teams to enhance Flo’s monetisation systems, experimentation capabilities, and reporting accuracy. Overseeing the management of App Store Connect and Google Play Console configurations related to pricing, SKUs, and subscriptions. Acting as Flo’s subject-matter expert in monetisation, advising product teams on best practices, experimentation frameworks, and growth strategies that drive LTV. #LI-Hybrid #LI-AJ1 Salary Range - gross per month (ranges may vary based on skills and experience) €7.000 — €8.500 EUR How we work We’re a mission-led, product-driven team. We move fast, stay focused and take ownership – from brief to build to impact. Debate is encouraged. Decisions are shared. We care about craft, ship with purpose, and always raise the bar. You’ll be working with people who take their work seriously, not themselves. It takes commitment, resilience, and the drive to keep going when things get tough. Because better health outcomes are worth it. What you'll get We support impact with meaningful reward. Here’s what that looks like: Competitive salary and annual reviews Opportunity to participate in Flo’s performance incentive scheme Paid holiday, sick leave, and female health leave Enhanced parental leave and pay for maternity, paternity, same-sex and adoptive parents Accelerated professional growth through world-changing work and learning support In-person collaboration and work in a hybrid model, with 3 days per week spent in the office 5-week fully paid sabbatical at 5-year Floversary Flo Premium for friends & family, plus more health, pension and wellbeing perks Diversity, equity and inclusion Our strength is in our differences. At Flo, hiring is based on merit, skill and what you bring to the role – nothing else. We’re proud to be an equal opportunity employer, and we welcome applicants from all backgrounds, communities and identities. Read our privacy notice for job applicants .

Location: London 500M+ downloads. 80M+ monthly users. A decade of building – and we’re still accelerating. Flo is the world’s #1 health & fitness app worldwide on a mission to build a better future for female health. Backed by a $200M investment led by General Atlantic, we became the first product of our kind to reach a $1B valuation in 2024 – and we’re not slowing down. With 7M paid subscribers and the highest-rated experience in the App Store’s health category, we’ve spent 10 years earning trust at scale. Now, we’re building the next generation of digital health – AI-powered, privacy-first, clinically backed – to help our users know their body better. The job As a Senior Growth Product Manager – Core Monetisation at Flo, you’ll own the strategy and execution of initiatives that directly maximise user lifetime value. Your focus will be on pricing, paywall experience, and offer segmentation and personalisation, the core levers driving Flo’s revenue growth. You’ll collaborate cross-functionally with analysts, designers, researchers, and engineers to design and optimise how users convert to Premium. This role has significant strategic visibility and you’ll work closely with the company product leadership to shape Flo’s monetisation roadmap and ensure our pricing and paywall strategy continues to set the benchmark in the health and wellness space. This role is pivotal to reinforcing Flo’s position as a global leader in health and fitness, and as the world’s first fully digital female health unicorn. Your Experience Must have: Proven experience developing pricing and subscription plan segmentation strategies to maximise LTV. Strong track record of designing high-converting paywall experiences and personalising monetisation flows based on user segments. Hands-on experience leveraging offers, discounts, add-ons, and subscription tiers to drive revenue growth and optimise monetisation performance. Experience coordinating paywall campaigns, experiments, and launches across the app in close collaboration with cross-functional teams. Deep expertise in A/B testing and experimentation, validating assumptions, and translating results into actionable monetisation improvements. Experience working cross-functionally with engineering, design, analytics, and marketing teams to deliver measurable business impact. Excellent analytical and problem-solving skills, with the ability to translate data into insights and make informed, evidence-based decisions. Comfort working in a fast-paced, high-experiment environment with shifting priorities and multiple competing demands. You thrive in dynamic settings and are energised by experimentation at scale. Nice to have: Experience managing monetisation for a B2C app. Experience with monetisation automation and machine learning techniques. What you'll be doing You'll be responsible for: Analysing and identifying opportunities to optimise paywalls and pricing across regions, segments, and platforms to maximise user lifetime value and profitability. Defining and implementing pricing strategies and tactics for subscriptions, complementary products, and add-ons, ensuring alignment with Flo’s business goals and market dynamics. Designing and optimising paywall experiences and other monetisation mechanics to maximise conversion rates and deliver a seamless, high-performing upgrade journey. Developing and executing targeted pricing and offer strategies for lifecycle moments and seasonal campaigns to unlock incremental revenue during key periods. Partnering closely with engineering, design, analytics, and finance teams to enhance Flo’s monetisation systems, experimentation capabilities, and reporting accuracy. Overseeing the management of App Store Connect and Google Play Console configurations related to pricing, SKUs, and subscriptions. Acting as Flo’s subject-matter expert in monetisation, advising product teams on best practices, experimentation frameworks, and growth strategies that drive LTV. #LI-Hybrid #LI-AJ1 Annual Salary Range (ranges may vary based on skills and experience) £91,000 — £117,000 GBP How we work We’re a mission-led, product-driven team. We move fast, stay focused and take ownership – from brief to build to impact. Debate is encouraged. Decisions are shared. We care about craft, ship with purpose, and always raise the bar. You’ll be working with people who take their work seriously, not themselves. It takes commitment, resilience, and the drive to keep going when things get tough. Because better health outcomes are worth it. What you'll get We support impact with meaningful reward. Here’s what that looks like: Competitive salary and annual reviews Opportunity to participate in Flo’s performance incentive scheme Paid holiday, sick leave, and female health leave Enhanced parental leave and pay for maternity, paternity, same-sex and adoptive parents Accelerated professional growth through world-changing work and learning support In-person collaboration and work in a hybrid model, with 3 days per week spent in the office 5-week fully paid sabbatical at 5-year Floversary Flo Premium for friends & family, plus more health, pension and wellbeing perks Diversity, equity and inclusion Our strength is in our differences. At Flo, hiring is based on merit, skill and what you bring to the role – nothing else. We’re proud to be an equal opportunity employer, and we welcome applicants from all backgrounds, communities and identities. Read our privacy notice for job applicants .

Location: United States Workplace: Remote BUILDING THE FUTURE OF OPEN FINANCE Payward - the parent company behind Kraken, NinjaTrader, Breakout, xStocks, Payward Services and CF Benchmarks - has spent the last 15 years building one of the most modern and globally accessible financial infrastructure platforms in the industry, built to advance an open, global financial system. THE TEAM Founded in 2011, Kraken is one of the world's longest-standing crypto platforms, trusted by over 10 million individuals and institutions across the globe. It offers spot trading, margin, futures, staking, and OTC services, with products built for both individual investors and institutional clients.   We're looking for a Sr. Data Analyst, Compliance to join our team remotely! The primary goal of this role is to elevate decision-making by uncovering emerging trends and root causes, and by driving insights and actions that provide full visibility into business performance and operational efficiency. Beyond technical expertise, success in this role depends on being a true business partner who combines data-driven insights with strategic thinking to deliver actionable recommendations, guide decision-making, and drive measurable impact across the organization. In this role, you'll own end-to-end data management, from building and maintaining datasets and pipelines to designing dashboards and delivering insights for the Compliance team. A core part of this role is owning the logic and rule-setting behind transaction monitoring across deposits and withdrawals. You'll also contribute to experimentation infrastructure, laying the groundwork for future ML and intelligence initiatives.   THE OPPORTUNITY - Own the logic and rule-setting behind transaction monitoring across deposits and withdrawals, partnering closely with Compliance to study patterns and refine detection logic - Translate compliance requirements into production detection logic, preserving correctness across alert eligibility, thresholds, customer segmentation, date windows, and deduplication - Develop and maintain Python and SQL pipelines for transaction data preparation, feature engineering, and detection workflows - Evaluate detection rules and analytical models across coverage, alert quality, threshold sensitivity, and the impact of proposed changes - Design reproducible evaluations on historical data that account for limited labels, class imbalance, and shifts in customer behaviour over time - Own testing, deployment, scheduling, monitoring, and operational support for detection workflows, including investigating data quality issues, pipeline failures, and unexpected changes in detection results - Execute historical backfills with clear validation and traceability, and maintain reliable downstream alert delivery and integrations with compliance systems - Be at the forefront of data innovation by experimenting, testing hypotheses, and translating insights into action, while incorporating software engineering best practices into pipelines and dashboards.   WHAT YOU BRING - 7+ years of experience in data analysis, data science, and data management within the fintech, crypto, financial services, or gambling industry, gained in a fast-paced, high-growth environment - Experience working with compliance, fraud, funding, finance, and customer support teams and analyzing large datasets, engineering features, and applying statistical methods to practical business problems - Strong Python and SQL skills, with experience building and supporting production data or analytical systems - Hands-on experience using dbt or similar tooling to model and organize high-fidelity data for reporting and decision-making - Experience setting up and managing data pipelines with a strong understanding of workflow orchestration, plus strong software engineering practices including version control, automated testing, code review, and CI/CD - Solid statistical foundation; ML exposure is a strong plus - Proficiency with BI and data visualization tools (e.g., Hex, Tableau, Power BI, or similar) to build executive-facing dashboards - Ability to investigate production issues independently and communicate technical findings and uncertainty to non-technical stakeholders - You believe wholeheartedly in the values outlined in Kraken's Tentaclements document - A degree in a field emphasizing analytical rigor, such as analytics, software engineering, statistics, or economics - Based in Canada, the US, or Brazil, and fluent in English   NICE TO HAVES - Fraud detection, AML, anomaly detection, or other risk applications - Experience with Athena, Trino, Kafka, and Kubernetes alongside the core Airflow/dbt/S3 stack - Transaction pattern analysis, customer segmentation, and detection threshold tuning - Developing or productionising machine learning models, including experiment tracking and performance monitoring - Working with sparse or delayed feedback from investigations to evaluate and improve detection - Explainability, auditability, and change control in regulated environments Unless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis. Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution. We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance. OUR COMMITMENT Payward is powered by people from around the world and we celebrate the diverse talents, backgrounds, contributions, and unique perspectives that everyone brings to the table. We hire based on merit, seeking out people with the right abilities, knowledge, and skills for the job. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgeable about crypto. We may ask candidates to complete job-related skills or work-style assessments as part of our hiring process. These assessments evaluate competencies relevant to the role and are applied consistently across candidates for similar positions. Results are considered alongside experience and interviews, and are not the sole basis for any employment decision. As an equal opportunity employer, we don't tolerate discrimination or harassment of any kind, whether based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status, or any other protected characteristic as outlined by federal, state, or local laws. Stay connected Follow us on X https://twitter.com/krakenfx Learn on the Kraken Blog https://blog.kraken.com/#:~:text=Enter%20your%20email%20address Connect on LinkedIn https://www.linkedin.com/company/kraken-exchange/ Candidate Privacy Notice https://www.kraken.com/legal/candidate-privacy-notice

Location: Canada; Brazil Workplace: Remote BUILDING THE FUTURE OF OPEN FINANCE Payward - the parent company behind Kraken, NinjaTrader, Breakout, xStocks, Payward Services and CF Benchmarks - has spent the last 15 years building one of the most modern and globally accessible financial infrastructure platforms in the industry, built to advance an open, global financial system. THE TEAM Founded in 2011, Kraken is one of the world's longest-standing crypto platforms, trusted by over 10 million individuals and institutions across the globe. It offers spot trading, margin, futures, staking, and OTC services, with products built for both individual investors and institutional clients.   We're looking for a Sr. Data Analyst, Compliance to join our team remotely! The primary goal of this role is to elevate decision-making by uncovering emerging trends and root causes, and by driving insights and actions that provide full visibility into business performance and operational efficiency. Beyond technical expertise, success in this role depends on being a true business partner who combines data-driven insights with strategic thinking to deliver actionable recommendations, guide decision-making, and drive measurable impact across the organization. In this role, you'll own end-to-end data management, from building and maintaining datasets and pipelines to designing dashboards and delivering insights for the Compliance team. A core part of this role is owning the logic and rule-setting behind transaction monitoring across deposits and withdrawals. You'll also contribute to experimentation infrastructure, laying the groundwork for future ML and intelligence initiatives.   THE OPPORTUNITY - Own the logic and rule-setting behind transaction monitoring across deposits and withdrawals, partnering closely with Compliance to study patterns and refine detection logic - Translate compliance requirements into production detection logic, preserving correctness across alert eligibility, thresholds, customer segmentation, date windows, and deduplication - Develop and maintain Python and SQL pipelines for transaction data preparation, feature engineering, and detection workflows - Evaluate detection rules and analytical models across coverage, alert quality, threshold sensitivity, and the impact of proposed changes - Design reproducible evaluations on historical data that account for limited labels, class imbalance, and shifts in customer behaviour over time - Own testing, deployment, scheduling, monitoring, and operational support for detection workflows, including investigating data quality issues, pipeline failures, and unexpected changes in detection results - Execute historical backfills with clear validation and traceability, and maintain reliable downstream alert delivery and integrations with compliance systems - Be at the forefront of data innovation by experimenting, testing hypotheses, and translating insights into action, while incorporating software engineering best practices into pipelines and dashboards.   WHAT YOU BRING - 7+ years of experience in data analysis, data science, and data management within the fintech, crypto, financial services, or gambling industry, gained in a fast-paced, high-growth environment - Experience working with compliance, fraud, funding, finance, and customer support teams and analyzing large datasets, engineering features, and applying statistical methods to practical business problems - Strong Python and SQL skills, with experience building and supporting production data or analytical systems - Hands-on experience using dbt or similar tooling to model and organize high-fidelity data for reporting and decision-making - Experience setting up and managing data pipelines with a strong understanding of workflow orchestration, plus strong software engineering practices including version control, automated testing, code review, and CI/CD - Solid statistical foundation; ML exposure is a strong plus - Proficiency with BI and data visualization tools (e.g., Hex, Tableau, Power BI, or similar) to build executive-facing dashboards - Ability to investigate production issues independently and communicate technical findings and uncertainty to non-technical stakeholders - You believe wholeheartedly in the values outlined in Kraken's Tentaclements document - A degree in a field emphasizing analytical rigor, such as analytics, software engineering, statistics, or economics - Based in Canada, the US, or Brazil, and fluent in English   NICE TO HAVES - Fraud detection, AML, anomaly detection, or other risk applications - Experience with Athena, Trino, Kafka, and Kubernetes alongside the core Airflow/dbt/S3 stack - Transaction pattern analysis, customer segmentation, and detection threshold tuning - Developing or productionising machine learning models, including experiment tracking and performance monitoring - Working with sparse or delayed feedback from investigations to evaluate and improve detection - Explainability, auditability, and change control in regulated environments Unless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis. Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution. We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance. OUR COMMITMENT Payward is powered by people from around the world and we celebrate the diverse talents, backgrounds, contributions, and unique perspectives that everyone brings to the table. We hire based on merit, seeking out people with the right abilities, knowledge, and skills for the job. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgeable about crypto. We may ask candidates to complete job-related skills or work-style assessments as part of our hiring process. These assessments evaluate competencies relevant to the role and are applied consistently across candidates for similar positions. Results are considered alongside experience and interviews, and are not the sole basis for any employment decision. As an equal opportunity employer, we don't tolerate discrimination or harassment of any kind, whether based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status, or any other protected characteristic as outlined by federal, state, or local laws. Stay connected Follow us on X https://twitter.com/krakenfx Learn on the Kraken Blog https://blog.kraken.com/#:~:text=Enter%20your%20email%20address Connect on LinkedIn https://www.linkedin.com/company/kraken-exchange/ Candidate Privacy Notice https://www.kraken.com/legal/candidate-privacy-notice

Location: New York, New York, United States About Turing Turing’s mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality datasets, reinforcement learning environments, and frontier research benchmarks that improve model capabilities in software engineering, enterprise knowledge work, and advanced STEM reasoning. In software engineering, Turing is the largest and longest-running data provider in the category. Turing also works with Fortune 500 enterprises across financial services, life sciences, healthcare, retail, automotive, and CPG to build and deploy end-to-end agentic AI systems inside mission-critical workflows. By operating on both sides, Turing closes the loop between frontier research and enterprise deployment, turning real-world deployment signals into better data, evaluations, and more capable models. Learn more at www.turing.com . Why Join Enterprise AI? Turing’s Financial Services team brings enterprise AI into the world’s leading banks, asset managers, private equity firms, and insurers. We work with some of the largest investment banks, asset managers, and private equity firms in the world. We built this business from the ground up and compete with the largest consulting firms every day by bringing greater depth in AI. As Client Director, Business Development, BFSI, you will develop relationships across a targeted portfolio of financial services accounts, identify high-value opportunities, and turn initial projects into multi-year AI programs. You will lead initial customer conversations, bring in solutions engineers and AI architects, and own the commercial process through the first SOW and into the second. This is an opportunity for an experienced financial services seller to move from the services era into an AI-native company and develop a portfolio of high-value AI engagements that defines the next decade of their career. Why This Role Matters Financial services firms are moving beyond AI experimentation and looking to deploy AI in regulated environments, on data that remains inside the firm, and across operational workflows that have historically been difficult to automate. Turing combines deep relationships with frontier AI labs and enterprise deployment capabilities to help financial services organizations move from experimentation to production. Over the next 12 months, you will help grow the financial services business significantly. Turing leads with a platform that remains in place after delivery, creating the foundation for future engagements. New MSAs can close in approximately four months, even in an industry where enterprise agreements often take years. As Client Director, Business Development, BFSI, You Will Develop and Prioritize the Target Account Portfolio Take ownership of an existing portfolio of target financial services accounts, prioritizing opportunities across mid-size and regional banks, private equity and alternatives managers, asset managers, and insurers. Partner with the General Manager, BFSI, to refine account priorities and develop a focused business development strategy within your first 90 days. Develop Executive Relationships and Create Opportunities Build relationships at the Managing Director level and above, including within COO, CIO, and head-of-operations offices. Identify opportunities to apply Turing’s AI capabilities to high-value business problems and lead initial relationship conversations. Own the Deal Qualify opportunities based on sponsor, budget, and intent to reach production. Bring in solutions engineers and AI architects early, direct what they pitch, and scope and price deals that combine platform and services. Create the Path to the Second Project Remain commercially accountable beyond the first SOW, establishing a clear path to a multi-year AI program. Partner with the engagement lead after the initial sale while maintaining ownership of identifying, developing, and closing the second project. Run a Disciplined Forecast Manage a focused pipeline and provide a forecast you can stand behind. Track opportunities from the first relationship conversation through SOW signature and future expansion. The Anti-Sell Business development focus: This role is focused on developing opportunities and driving revenue across a targeted portfolio of financial services accounts. This is not a traditional account management or customer success role focused primarily on renewals, relationship maintenance, or delivery oversight. The emphasis is on proactively developing opportunities and driving commercial growth across the assigned account portfolio. Commercial ownership, not delivery ownership: You will own the sales process and first SOW, but not delivery or engagement P&L. Partner-led technical solutioning: You will not own technical solution design. Solutions engineers and AI architects will lead that work. Proactive business development: This role is not for someone who relies primarily on renewals, passive account management, or procurement-led selling. You will be expected to proactively develop executive relationships, identify high-value business opportunities, generate demand, and lead consultative sales conversations. High autonomy: This is a self-directed role requiring the judgment and drive to work independently while remaining accountable to a small leadership team. Our Financial Services Business Development Leaders Typically Have Deep financial services selling experience: At least 10 years selling technology services, data, or AI solutions into financial services organizations. Enterprise sales success: A demonstrated record of developing and closing complex enterprise engagements worth $1 million or more, with personal ownership of the commercial sales process. Executive-level relationships: A network at the Managing Director level and above, including relationships with COO, CIO, and head-of-operations leaders who will take your call. Full-cycle enterprise selling: Experience leading enterprise sales from initial relationship development through qualification, solution shaping, pricing, negotiation, and signed SOW. Consultative and technical fluency: The ability to lead with the customer’s problem, understand AI deployment concepts, and work effectively with solutions engineers and AI architects. Self-directed execution: The drive to work independently, maintain a disciplined forecast, and remain accountable to a small leadership team. Top-Tier Candidates Will Have Experience co-selling with a hyperscaler or AI lab. Experience selling a data or AI platform alongside services. Relationships inside alternatives managers, global banks, or insurers. Experience based in or willing to relocate to New York. Willingness to travel regularly across the Northeast. Compensation: $280,000 - $350,000 base salary + variable compensation, equity & additional benefits Values We are client first: We put our clients at the center of everything we do, because their success is the ultimate measure of our value. We work at Start-Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfection We are AI forward: We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity. Advantages of joining Turing Work at the frontier of AI , helping the world’s leading AI labs improve their most advanced models by building expert datasets, RL environments, and first-of-a-kind benchmarks. Contribute to leading-edge AI research and showcase your work at top conferences such as ICLR, ICML, and NeurIPS. Bring frontier AI innovation to the enterprise , applying lessons learned from leading AI labs to solve real-world business challenges. Collaborate with and learn from exceptional colleagues with deep AI experience from Google, Meta, Amazon, and other leading technology companies. Move at the pace of AI innovation , with the speed, ownership, and impact of a startup. Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace  and celebrate authenticity, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. For applicants from the European Union, please review Turing's GDPR notice here .