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Location: United States At Reltio®, an SAP company, we believe data should fuel success in the enterprise AI era. Our context intelligence solution turns fragmented data into trusted, connected context so AI agents and systems can act with expert-level judgment at the scale of your business. Our open-by-design SaaS solution harmonizes, unifies, and enriches structured and unstructured information, giving organizations 360-degree views of core data in milliseconds to any application, user, or AI agent. Trusted by the world’s largest enterprises across life sciences, financial services, healthcare, and technology, Reltio helps organizations fuel frictionless operations, drive innovation and reduce risk. At Reltio, our values guide everything we do. With an unyielding commitment to prioritizing our “Customer First”, we strive to ensure their success. We embrace our differences and are “Better Together” as One Reltio. We are always looking to “Simplify and Share” our knowledge when we collaborate to remove obstacles for each other. We hold ourselves accountable for our actions and outcomes and strive for excellence. We “Own It”. Every day, we innovate and evolve, so that today is “Always Better Than Yesterday”. If you share and embody these values, we invite you to join our team at Reltio and contribute to our mission of excellence. Reltio has earned numerous awards and industry and analyst recognition for our technology, our culture and our people. Reltio was founded on a distributed workforce and offers flexible work arrangements to help our people manage their personal and professional lives. If you’re ready to work on unrivaled technology where your desire to be part of a collaborative team is met with a laser-focused mission to enable digital transformation with connected data, let’s talk! Job Summary: The Principal Enterprise Architect is a senior individual contributor within Solutions Consulting, providing technical leadership for Reltio’s most complex and strategically significant global sales engagements. This role fuses world-class enterprise architecture depth with visionary pre-sales leadership on Reltio's most critical, complex, and innovative engagements globally. Reporting into Presales, this individual partners exceptionally closely with Product Management, Field CTO’s, Engineering, and the Sales Account teams.  This role operates as a two-way bridge between the field and the roadmap at a strategic level, carrying customer and competitive intelligence into product direction and bringing emerging platform capabilities into the market ahead of competitors. Leveraging deep expertise in master data management, data unification, AI, and enterprise architecture, this individual engages C-suite executives like CDOs, Chief Architects, CIOs, and CTOs  at the world's leading organizations to architect how Reltio, as part of SAP Business Data Cloud, transforms their most complex enterprise data landscapes. Beyond winning landmark deals, the Principal Enterprise Architect defines industry best practices, shapes Reltio's technology vision through their partnership with Product Management, and mentors the next generation of technical leaders within Reltio. They are an influential technical voice in the company, connecting what the field sees to what the solution becomes. Job Duties and Responsibilities: Strategic pre-sales and enterprise architecture Serve as a principal technical advisor for Reltio’s most complex and strategically significant global sales opportunities, independently defining architectural approaches and resolving critical technical issues in partnership with account teams. Define and maintain reusable enterprise reference architectures and integration blueprints, including SAP integration patterns and SAP Business Data Cloud alignment. Partner with Solutions Consulting, Product Management, and Engineering to drive their adoption and inform longer-term solution direction. Co-create and evangelize transformative solution visions with C-level executives, demonstrating how Reltio unlocks unprecedented business value through advanced data unification, AI, and the Autonomous Enterprise. Set the technical objectives, success criteria, and architectural approach for proof-of-value engagements with strategic (lighthouse) customers, resolving novel challenges where requirements or product capabilities are evolving and translating validated approaches into reusable field guidance. Own the technical strategy and architectural narrative on landmark, multi-year, multi-million-dollar pursuits within a MEDDPICC-driven sales process. Define success measures with Solutions Consulting and Product leadership and evaluate the impact of strategic architecture initiatives, including technical success in priority pursuits, adoption of reusable solution patterns, and validated customer insights that inform product decisions. Product Management partnership (core to this role) Establish a structured process with Product Management and Field CTOs to synthesize customer, competitive, and architectural insights into recommendations for product strategy and roadmap prioritization. Partner with Product Management on the highest-stakes pursuits, co-developing solution approaches for capabilities that are emerging, in early release, or on the roadmap. Validate and pressure-test pre-release and early-access capabilities in demanding deal contexts, feeding practical, architecture-grounded insight back to product and engineering. Lead cross-functional resolution of strategic architectural issues spanning Solutions Consulting, Product Management, and Engineering, securing alignment on recommendations that support long-term customer and business objectives that drive Reltio's long-term technology vision and market leadership. Steward strategic design-partner and co-innovation relationships between marquee customers and Product Management. Industry leadership, enablement, and influence Define and champion innovative solution patterns, reference architectures, and best practices that set the standard across the Solutions Consulting organization and the broader industry. Develop the architectural capabilities of senior Solutions Consulting ICs, including Principal Solutions Consultants, through mentorship, design reviews, and reusable guidance to strengthen technical excellence across the organization. Represent Reltio as a leading industry expert and thought leader at prominent conferences, executive councils, with industry analysts, and in critical publications and speaking engagements. Influence market perception and competitive positioning through deep technical insight and strategic communication. Build and nurture strategic technical alliances and partnerships that extend Reltio's reach and capabilities. Skills You Must Have: Minimum 15 years of pre-sales, solution architecture, or enterprise architecture experience in enterprise software, with an extensive, demonstrable track record on highly complex, strategic data unification, AI, and platform engagements; Bachelor's degree in Computer Science, Engineering, or experience in a deeply related technical field. Recognized as a leading expert in enterprise data architecture, master data management, cloud-native technologies, and advanced AI/ML applications, with the credibility to advise Chief Architects and CDOs. Proven ability to design and defend end-to-end solution architectures within the most complex, heterogeneous enterprise environments. Exceptional ability to engage, influence, and build trusted advisor relationships with CEOs, CIOs, CDOs, and other C-suite executives at Fortune 500 companies. Proven experience shaping and winning landmark, multi-year, multi-million-dollar enterprise software deals on a global scale. Deep experience working directly with Product Management, translating field and customer insight into product direction and bringing roadmap awareness into strategic engagements. Deep expertise in enterprise data platforms, master data management, and data unification, with the ability to develop expert-level command of Reltio’s platform and architecture. Ability to evaluate emerging technology trends and translate them into practical recommendations for customer architecture, product direction, and field strategy. Superior communication, presentation, and storytelling skills, capable of inspiring diverse, high-level audiences. Demonstrated ability to lead complex technical initiatives through influence, align cross-functional teams, and mentor senior technical professionals without direct reporting authority. Demonstrated experience advising senior customer leaders on enterprise data strategy and long-term transformation roadmaps. Skills That Are Nice to Have: Ph.D. or Master's degree in Computer Science, AI, Data Science, or a related advanced technical field. Hands-on architectural expertise and at least one certification with a major cloud platform (AWS, GCP, Azure). Familiarity with the SAP ecosystem and SAP Business Data Cloud, and with integrating third-party platforms into SAP landscapes. Prior experience in a product-facing, field-CTO, or design-partner role that formalized the presales–product feedback loop. A frequent event speaker or author of content in data unification, AI, distributed systems, or enterprise architecture. Proven ability to invent and prototype novel solutions to previously unsolved business or technical challenges. Ability to build productive relationships with industry experts, technology partners, and customer architecture leaders. At Reltio, we carefully consider a wide range of compensation factors to determine your personal top of market. We rely on market indicators to determine compensation and your specific job family, background, skills, and experience to get it right. These considerations can cause your compensation to vary and will also be dependent on your location. Overall Market Range $230,000 — $310,000 USD Reltio is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Reltio is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities.

Location: Chicago DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk. Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets. We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus. We are seeking a Product Control Quantitative Lead to focus on the valuation and independent validation of options, structured products and related derivatives. The role will review pricing models, validate volatility surfaces/skews, verify model inputs, and present findings to the Valuation committee. This role will work closely with trading desks, risk, quants, and software engineers to ensure robust, auditable valuation processes and build scalable verification tools.  This role will require you to be in office 4 days per week. Responsibilities: Independently verify pricing models and the inputs used for options valuation and present results to the valuation/model validation committee. Assist Middle office and commercial groups by analyzing skew data to determine appropriate sources for valuation. Work with trading desk analysts, quantitative developers and risk to validate new instruments, and bespoke structures. Identify unobservable inputs and assumptions, and test sensitivities to those assumptions inputs are not directly observable. Work closely with software engineers to provide pricing verification system specifications. Develop and maintain auditable valuation documentation and model governance artifacts (methodologies, calibration procedures, data provenance). Skills & Experience: Minimum 7 years of relevant experience, ideally at a Proprietary Trading Firm, Hedge Fund, Investment Bank or Trading Venue. Experience constructing and analyzing volatility surfaces and option skews, including interpolation/extrapolation and smoothing techniques. Experience managing data and building tools in Python. A strong understanding of control functions - Comfortable interrogating assumptions, performing sensitivity analysis, and translating model behaviors into business impact. Prior experience in model validation or model governance frameworks preferred. The annual base salary range for this position is $200,000 to $250,000 depending on the candidate’s experience, qualifications, and relevant skill set. The position is also eligible for an annual discretionary bonus. In addition, DRW offers a comprehensive suite of employee benefits including group medical, pharmacy, dental and vision insurance, 401k (with discretionary employer match), short and long-term disability, life and AD&D insurance, health savings accounts, and flexible spending accounts. For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice . California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice . [#LI-SK1]

Location: Berlin Our Story Founded in 2009, we’re one of the world’s leading game studios, and proud of our extremely international team, consisting of more than 50 different nations. We are part of Playtika and the global leader in the category of Hidden Object Games. With June’s Journey, we’re providing joy for millions of players around the world every day. How we work Our aim is to keep doing so for many more years, if not decades. In order to be able to do so, we’ve defined a distinct way of how we’re working at Wooga, so that all relevant aspects intertwine and have a positive impact on the game. No matter if you’re part of a game team or support the success of Wooga as part of a central team, all 250+ employees from around the world can make an impact. We’re proud of the environment we’ve built, and believe you’ll enjoy working with some of the best people in the industry. Our drivers: Speed, Focus, Ownership, and Impact, guide our working style at Wooga and help us make a deliberate choice to focus on what is important to us, while working towards a shared goal. These drivers shape how we work together and what we expect from ourselves and our leaders. We are looking for a high-impact, proactive Senior Data Engineer to join our Data Engineering team in Berlin. In this role, you won't just build pipelines—you will architect the data foundation that powers our next generation of casual games and advanced analytics, and AI-driven workflows. You will be in an environment where you can take full ownership of business outcomes, bridge technical execution with strategy, and proactively identify opportunities to optimize and scale our data transformation journey. About the job Data Architecture & Strategy: Design and build resilient, scalable data infrastructure optimized for analytical workflows, feature stores, real-time context delivery, and AI-ready, well-documented data for agents and LLM applications. Modern Pipeline Engineering: Build, maintain, and optimize robust batch and streaming ETL/ELT pipelines using Scala, Python, SQL and dbt. Data Warehousing & Lakehouse: Architect clean, cost-efficient, and highly performance schemes across our cloud data warehouse platform on Snowflake. AI-Enabled Engineering & Agentic Workflows: Use AI as a daily force multiplier, not only for writing code but across the data lifecycle, from design and documentation to testing, debugging, and incident triage. Design, build, and operate agentic workflows (for example, agents that monitor pipelines, investigate data quality issues, generate and validate dbt models, or answer analysts’ questions against governed data), with proper guardrails, evaluation, and observability. Quality, Reliability & Governance: Implement automated testing, observability, and monitoring frameworks to guarantee high data reliability and low latency. Engineering Excellence & Best Practices: Follow rigorous CI/CD practices, Infrastructure-as-Code (Terraform), version control, and clear documentation across all data assets. Cross-Functional Enablement: Collaborate closely with marketing managers, game teams, product managers, and data analysts to turn ambiguous business needs into high-impact data solutions. About you Relevant Experience: In-depth professional experience as a software engineer or data engineer. Data Engineering Expertise: Strong background in senior data engineering roles with advanced proficiency in Python and complex SQL. Strong Core Programming: Deep professional experience in a strongly-typed language such as Scala, Java, or Go for building resilient data services. Modern Stack Mastery: Practical experience with cloud data platforms (favorable Snowflake), dbt and orchestration tools (we use Airflow). AI & Agentic Experience: Hands-on experience applying AI tools in your engineering work and building agentic workflows, including tool use or MCP integrations, orchestration, and evaluation. You know where agents add real value, where human review is essential, and how to keep them reliable, secure, and cost-aware. Software Engineering Mindset: Deep familiarity with Docker, Git, CI/CD, unit testing, and Infrastructure-as-Code (Terraform). Proactive & Impact-Driven: Autonomous problem solver who evaluates technical decisions based on speed-to-market, business value, and ROI rather than theoretical complexity. Collaborative Communicator: Excellent communication skills with the ability to articulate technical architecture to both engineering peers and business stakeholders. Please note: Research has shown that some under-represented groups in the gaming industry (eg: women) tend to apply only if they meet every single requirement. Here at Wooga, the desire to learn and the willingness to solve problems are more important to us than your experience on paper. We encourage you to apply even if you do not think that you tick all the boxes - thinking outside of such boxes and embracing the diversity of mindsets and backgrounds is what we believe makes our teams thrive. Our Promise Shape the future! Challenge the status quo and team up with a diverse group of experts (over 50 nationalities!) working on crafting the world’s best games. We offer a generous relocation package and home search support if you are not already located in Berlin. Did we mention that we also cooperate with Kindergartens? Make use of a significant education budget and extra days off for self-development. Join our meet-ups, talks, brown bag lunches, internal trainings, workshops and many others. Enjoy the pilates, mindfulness app, sports and transport subsidies. And a Purpose Day to donate your time to a worthy cause! Did you know that German is the third most commonly taught language worldwide? Learn it too! We offer German language classes for you and your significant other. With our hybrid work model you will work in the office with your teams twice a week, to encourage in-person collaboration and team bonding. The other three days you can choose if you want to work from home or from the office. We also offer 10 days a year to work from abroad. At Wooga we are committed to providing a friendly, safe and welcoming environment for everyone who works here or with us, regardless of gender, gender identity and expression, sexual orientation, disability, physical appearance, body size, race, age, religion (or lack thereof) and game preferences. Be yourself, we like you that way! By clicking “Submit Application” you acknowledge that you have read our Candidate Privacy Policy

Location: Remote; Remote or Boston, MA Workplace: remote Arcadia is dedicated to happier, healthier days for all.We believe that there is a better healthcare world – one powered by data. Our platform transforms complex, diverse data into a unified foundation for health, helping organizations deliver better care, boost revenue, and lower costs. We’re a team of fiercely driven individuals committed to making healthcare more sustainable – and we’re looking for passionate people to help us get there. For more information, visit arcadia.io Why This Role Is Important to Arcadia Arcadia's Life Sciences business delivers de-identified clinical and claims data products and develops sponsored programs that support patient cohort identification, provider alerting and actioning, patient engagement, and outcomes reporting. These efforts require coordinated execution across Sales, analytics, engineering, QA/QC, and Delivery & Operations. The Project Delivery Manager, Life Sciences will organize that execution. This person will manage multiple solutioning projects from finalized sales agreement through implementation and turnover, maintaining clear plans, ownership, status, risks, issues, and decisions. The role will also provide supporting coordination for the Life Sciences feasibility queue. This is an individual-contributor role for someone who brings practical judgment, disciplined follow-through, and the interpersonal skill to create accountability without direct authority. The successful candidate will keep complex work moving without adding unnecessary process. What Success Looks Like In 3 Months •  Develop a working understanding of Arcadia's Life Sciences data products, sponsored programs, active projects, and the teams responsible for analysis, development, testing, and operations. •  Establish effective working relationships across Life Sciences Sales, analytics, engineering, QA/QC, and Delivery & Operations. •  Begin managing assigned solutioning projects through clear project plans, milestones, dependencies, responsibilities, risks, issues, decisions, and status reporting. •  Introduce consistent, practical project-management templates and working practices in Jira and Confluence without creating unnecessary administrative burden. •  Demonstrate early identification and escalation of risks that could affect project completeness or timing. •  Become familiar with the feasibility process and begin supporting queue coordination and status visibility. In 6 Months •  Independently manage multiple simultaneous Life Sciences solutioning projects from finalized sales agreement through implementation and turnover. •  Facilitate requirements discussions and ensure requirements, acceptance criteria, dependencies, decisions, and responsibilities are clearly documented. •  Maintain a reliable project cadence that keeps leaders and contributors informed of progress, upcoming decisions, risks, issues, and required actions. •  Coordinate customer and channel-partner discussions related to solutioning projects and ensure resulting requirements, decisions, and actions are captured and advanced. •  Ensure project workstreams, including analysis, technical development, testing, documentation, and implementation readiness, progress toward complete and timely delivery. •  Coordinate structured project turnover to Delivery & Operations, including required runbooks, known issues, outstanding items, and clearly assigned ownership. •  Provide supporting coordination for feasibility requests, helping maintain clear priorities, ownership, and status. In 12 Months •  Establish a consistent record of complete, on-time delivery across assigned Life Sciences projects. •  Be recognized as a reliable source of project status, ownership, dependencies, risks, issues, and upcoming decisions. •  Reduce late-stage surprises through early identification, communication, and escalation of project risks, resource constraints, and unresolved decisions. •  Establish a practical, repeatable project-execution framework across Life Sciences data products and sponsored programs. •  Improve project transition and turnover by ensuring sufficient documentation, runbooks, ownership, and implementation readiness. •  Identify recurring execution obstacles and recommend improvements that strengthen accountability, collaboration, and delivery predictability. What You'll Doing Project Planning and Execution •  Manage multiple Life Sciences solutioning projects from finalized sales agreement through implementation and turnover, with complete and on-time project delivery. •  Create and maintain clear project planning activities, milestones, dependencies, responsibilities, decisions, risks, issues, and action items. •  Organize and coordinate project activities across the Life Sciences team and supporting functions, maintaining clear ownership, prioritization, alignment, and progress across contributors. •  Establish a dependable meeting and reporting cadence appropriate to each project's complexity and customer commitments. •  Monitor progress, identify obstacles early, secure accountable owners, and escalate risks or unresolved decisions when necessary. Requirements and Stakeholder Coordination •  Facilitate requirements discussions and document agreed business and technical documentation, acceptance criteria, assumptions, and decisions. •  Build alignment across participating teams on priorities, responsibilities, dependencies, timelines, and execution approach. •  Facilitate customer and channel-partner discussions related to in-flight solutioning projects, ensuring requirements, decisions, action items, and next steps are clearly documented and communicated. •  Prepare concise status reporting for internal leaders and, when appropriate, customers and channel partners. •  Maintain project documentation in Jira and Confluence so current plans, decisions, and ownership are accessible to the people doing the work. Implementation Readiness and Operations Turnover •  Ensure all project workstreams, including requirements, analysis, technical development, testing, documentation, and implementation readiness, are appropriately planned, prioritized, and completed on time. •  Coordinate readiness reviews and confirm that agreed QA/QC activities, acceptance criteria, dependencies, and outstanding issues are understood before implementation. •  Coordinate the transition of completed projects to Delivery & Operations, ensuring required runbooks, known issues, outstanding items, and ownership are clearly documented. •  Facilitate project retrospectives and turn recurring lessons into practical improvements for future projects. Feasibility Support •  Support coordination of the Life Sciences feasibility queue, facilitating prioritization of new Sales demand against existing activities and commitments across the Life Sciences team. •  Maintain visibility into feasibility-request status, ownership, dependencies, and expected completion. Tools and Working Environment •  Project workflow and documentation: Jira and Confluence •  Project management best practices: project plans, RACI models, milestone and dependency tracking, risk and issue management, decision records, action tracking, and status reporting •  Data environment familiarity: healthcare data schemas, claims and clinical data, data pipelines, QA/QC practices, and software development lifecycle concepts •  Collaboration: remote, cross-functional teams supporting data products, analytics, software development, and customer delivery What You'll Bring Education •  Completion of a postsecondary degree, certificate, apprenticeship, or comparable structured educational program. Experience •  Five or more years of practical experience managing healthcare data, technology, analytics, implementation, or similarly complex cross-functional projects. •  Demonstrated success managing multiple concurrent projects through complete and timely delivery. •  Experience coordinating technical and nontechnical contributors without direct reporting authority. •  Hands-on experience with Jira and Confluence for planning, documentation, action tracking, and status reporting. •  Experience facilitating requirements discussions and maintaining clear project documentation, including responsibilities, dependencies, risks, issues, decisions, and acceptance criteria. •  General understanding of healthcare data structures, data pipelines, QA/QC, and software development lifecycle practices. Coding experience is not required. Skills •  Practical judgment and a straightforward working style focused on completing the work rather than adding process for its own sake. •  Strong organizational skills, attention to detail, and disciplined follow-through across multiple projects and competing priorities. •  Ability to create clarity, alignment, and accountability across teams without relying on formal authority. •  Clear written and verbal communication, including concise status reporting and appropriate escalation of risks and issues. •  Strong facilitation skills and the confidence to guide discussions toward decisions, owners, and next steps. •  Comfort working through ambiguity while maintaining momentum and identifying where leadership decisions are required. •  A collaborative approach and sound interpersonal judgment when working with internal teams, customers, and channel partners. Would Love For You To Have •  Experience managing projects involving healthcare claims, EHR, clinical, or other real-world data. •  Experience working for a healthcare data vendor, healthcare technology company, analytics organization, or life sciences company. •  Familiarity with projects involving patient cohort identification, provider alerting and actioning, dashboards, patient engagement, or outcomes reporting. •  Experience coordinating data-pipeline, analytics, or software-development work through testing and implementation readiness. •  Familiarity with Snowflake, AWS, SQL, or modern data-platform concepts sufficient to follow technical discussions; hands-on coding is not required. •  Project-management or Agile training or certification. Practical experience and judgment are more important than a specific certification. What You'll Get •  A central role in helping Arcadia's Life Sciences team deliver complex data and technology projects with greater clarity and predictability. •  Direct exposure to Life Sciences leadership team, analytics and engineering teams. •  Opportunities to work on programs that connect real-world data, provider workflows, and life sciences research and engagement. •  A flexible, fully remote work environment with the autonomy to establish practical ways of working. •  The opportunity to help shape program practices as Arcadia's Life Sciences business grows •  The opportunity to use advanced AI and agentic workflow capabilities to improve program planning, coordination, documentation, and execution •  Membership in Arcadia's talented, purpose-driven community About Arcadia Arcadia.io helps innovative providers and payers across the country transform healthcare to reduce cost while improving patient health. We do this by aggregating large amounts of disparate data, applying algorithms to identify opportunities to provide better patient care, and making those opportunities actionable by physicians at the point of care in near-real time. We are passionate about helping our customers drive meaningful outcomes. We are growing fast and have emerged as a market leader in the highly competitive population health management software market and have been recognized by industry analysts KLAS, IDC, Forrester, and Chilmark for our leadership. For a better sense of our brand and products, please explore our website. Protect Yourself If you have concerns about the authenticity of a job offer or recruitment-related communication claiming to be from Arcadia, we encourage you to verify by contacting us directly at (781) 202-3600 and select option 3. For more information, visit our website. This position is responsible for following all Security policies and procedures in order to protect all PHI under Arcadia's custodianship as well as Arcadia Intellectual Properties.  For any security-specific roles, the responsibilities would be further defined by the hiring manager.

Location: United Kingdom, Remote Workplace: remote Olo is a leading SaaS platform accelerating digital transformation in the restaurant industry, by helping customers deliver more personalised and profitable guest experiences. As a result, our digital ordering, payment, and guest engagement solutions enable brands to do more with less and make every guest feel like a regular.   Reporting to the Security Engineering Director, the Staff Security Engineer will act as technical lead of the Olo Security Blue Team and work on security defences that allow our systems to keep running while protecting the data of our clients and their customers.   Additionally, you will help in the identification and prioritisation of future project initiatives based on risk and execute cross-functional projects with a high degree of ownership and excellence, all while actively mentoring other team members and elevating the collective team’s capabilities and skill sets. If you are passionate about reducing risk while supporting innovation, we encourage you to apply!   You can work remotely from anywhere in the United Kingdom. How you’ll make an impact Guide and coach Olo’s Blue Team on Information Protection, Incident Detection and Response and Service Delivery. You will provide strategic and technical oversight to the team and the program. Technically lead a team of security engineers and analysts who hunt, detect, and respond to internal and external threats. Collaborate with customers and partners to strengthen their security posture. Drive ongoing optimisations by implementing new technologies, replacing technologies, addressing evolving threats, scaling practices and automating security activities. Ultimately you will keep team member and customers data safe by identifying and mitigating vulnerabilities and risks by providing actionable guidance to product teams. Information Protection Lead Olo’s Information Protection program including the selection, testing, implementation and maintenance of security tools and services, security awareness, service provider management and the ongoing testing of those controls. Oversee Vulnerability Management program including vulnerability assessments, risk scoring and vulnerability resolution. Oversee Threat Hunting program to detect and mitigate advanced threats. Manage non-event driven security reviews, including concept reviews, design reviews, patching, firewall rules and system configuration checks. Apply Web application and API security principles and techniques, such as zero trust, RBAC, authentication, authorization, auditing, rate limiting, challenges, etc., to protect our cloud-based services from unauthorized access and abuse. Incident Detection and Response Oversee Incident Detection and Response program including ownership of incident response processes, tools and services and the ongoing continuous improvement of those controls. Coordinate the detection and response to attacks through all incident phases. Ensure incident reports are accurate, detailed and relevant. Monitor, detect, and remediate misconfigurations and security risks across our cloud environments. Participate in a 24/7 on-call rotation. Security Services Oversee Security Services program including security support requests, risk assessments, vendor assessments, PCI and SOC audit support and service provider management. What We'll Expect from You 5+ years of Security Engineering, Security Operations or Security Architecture experience. CISSP, GCIH or similar certification preferred. Experience acting as technical lead to distributed teams consisting largely of remote engineers. Experience complying with PCI-DSS and other compliance and regulatory standards. Experience with attacker tactics, techniques and procedures. Knowledge of information technology, evolving threats, attack patterns, incident response and cyber security standards. Experience developing and leading incident response, remediation and mitigation activities, and providing status updates and reports. Experience analyzing security events to discern events that qualify as a legitimate security incident as opposed to non-incidents (ie. incident investigation, implementing countermeasures, and conducting incident response). Deep understanding of operating system, networking and application concepts. Experience hardening Windows, MacOS, Linux Containers and Kubernetes. Familiarity with AWS security best practices and Infrastructure-as-Code. Experience deploying and maintaining security technologies. (e.g. Access Proxies, API Gateway, Anti-Malware, Application Control, Cloud Security Posture, Data Leak Prevention, Data Mapping, Endpoint Detection & Response, Intrusion Detection System, File Integrity Monitoring, Firewalls, Mobile Device Management, Multi Factor Authentication, SIEM, Static Inspection, Vulnerability Assessment, Web Proxies, WAF and Zero Trust). Adept at working with internal Product & Engineering, Legal, People & Culture, Finance and GTM teams and external partners, auditors and customers. Ability to work during critical incidents or to support coverage requirements. About Olo Olo is a leading restaurant technology provider with ordering, payment, and guest engagement solutions that help brands increase orders, streamline operations, and improve the guest experience. Each day, Olo processes millions of orders on its open SaaS platform, gathering the right data from each touchpoint into a single source—so restaurants can better understand and better serve every guest on every channel, every time. Over 800 restaurant brands trust Olo and its network of more than 400 integration partners to innovate on behalf of the restaurant community, accelerating technology’s positive impact and creating a world where every restaurant guest feels like a regular. Learn more at olo.com. Applicant Privacy Notice (United Kingdom)

Location: Remote Workplace: remote Arcadia is dedicated to happier, healthier days for all. We transform diverse data into a unified fabric for health. Our platform delivers actionable insights for our customers to advance care and research, drive strategic growth, and achieve financial success. For more information, visit arcadia.io.   Why This Role Is Important To Arcadia The Technical Product Manager, Life Sciences sits at the intersection of product strategy and engineering execution, embedded directly with our teams to turn complex healthcare data and platform capabilities into products our customers rely on. This role owns the technical depth of the product lifecycle while keeping the team anchored to customer value and business outcomes. You will be the connective tissue between Product and Engineering: fluent enough in the technical stack to make real-time tradeoff decisions with engineers, and disciplined enough in product craft to keep the roadmap grounded in customer impact. This is a hands-on, technical product role for someone energized by the details of how things work, not just what gets shipped. What Success Looks Like In 3 Months Develop working fluency in Arcadia's platform architecture, data model, and the technical stack of your assigned engineering team. Build trusted, credible working relationships with your engineering counterparts, joining sprint ceremonies and grooming sessions. Take ownership of a product area's backlog and begin active prioritization grounded in customer and technical impact. Demonstrate the ability to hold your own in a technical conversation about pipeline architecture, data, or implementation tradeoffs. In 6 Months Ship one or more meaningful product increments in close partnership with engineering, on a predictable delivery cadence. Establish clear product and delivery metrics, and use them to guide prioritization and stakeholder reporting. Be a go-to resource for engineering on requirements clarity, scope tradeoffs, and customer context. Lead structured technical discovery (data investigation, feasibility checks, pipeline architecture discussions) that informs roadmap decisions. In 12 Months Be recognized as the product owner and technical subject-matter expert for your portfolio, trusted by engineering and business stakeholders alike. Drive roadmap strategy that balances near-term delivery with long-term platform scalability and technical health. Proactively identify and act on opportunities to reduce technical debt, improve data quality, or unlock new technical capability. Mentor peers on how to work effectively with engineering teams and contribute to broader product-engineering process improvements. What You'll Be Doing Own product strategy and roadmap for a defined portfolio within Arcadia's platform, partnering day-to-day with an embedded engineering teams through the full SDLC. Translate business goals, customer needs, and technical realities into clear requirements, acceptance criteria, and well-scoped increments engineering can execute against. Engage deeply with engineering on data pipeline, data models, and enrichment asking the right technical questions and making informed calls when priorities conflict. Run and participate in agile ceremonies: backlog grooming, sprint planning, sprint reviews, and incident/RCA reviews, ensuring engineering has what it needs to move fast without losing quality. Deconstruct ambiguous or large-scale goals into MVPs and iterative delivery plans, adjusting scope based on technical constraints and customer feedback. Use SQL and product/data instrumentation to self-serve answers, validate hypotheses, and make data-informed prioritization decisions. Replicate, triage, and help troubleshoot complex product issues alongside engineering, escalating and documenting bugs and workarounds as needed. Communicate roadmap progress, technical risks, and tradeoffs clearly to both technical and non-technical stakeholders. Partner with agentic designers, operations, commercial, marketing, and analytic teams to ensure what engineering ships is adopted and drives measurable value. Advocate for a healthy balance between shipping new capability and managing technical debt, performance, and platform scalability. What You'll Bring Education Bachelor's Degree in Computer Science, Data Science, Statistics, or a related field (or equivalent professional experience) Experience 4–7+ years of product management experience, with meaningful time spent working shoulder-to-shoulder with engineering teams in Agile/Scrum environments. Proven track record taking products from requirements through SDLC to launch, including scoping MVPs and iterating post-launch. Experience engaging in real technical tradeoff discussions architecture, APIs, data flows, scalability, and implementation approach. Healthcare, health-tech, or complex B2B data/SaaS experience strongly preferred; population health, value-based care, or interoperability experience is a plus. Technical Fluency Hands-on SQL proficiency, comfortable writing queries to self-serve analysis and validate product decisions. Working understanding of database and data-platform technologies (e.g., Snowflake, cloud data warehouses) and how data model design affects product capability. Comfort partnering with engineers on API design, system architecture, and technical constraints without needing everything translated into non-technical terms. Qualities & Skills Strong ownership mentality with a bias toward action and hands-on execution. Excellent written and verbal communication; able to move fluidly between engineering detail and executive-level summary. Comfortable operating in ambiguity, breaking large problems into deliverable increments. Calm, confident facilitator of trade-off conversations across product, engineering, and business stakeholders. Attention to detail and a commitment to clear, current documentation. Would Love For You To Have Experience with healthcare data standards or interoperability frameworks (e.g., FHIR) and regulatory-grade data environments. Exposure to AI/ML or GenAI-enabled product capabilities, including retrieval-augmented generation, automation, or predictive analytics. Experience with BI/visualization tools (Tableau, Power BI, Looker, or similar) and large-scale data platforms (Snowflake, Redshift, Databricks, or similar). A background in a hard science (math, statistics, computer science, or engineering) or prior experience as a software engineer or data analyst. What You'll Get The chance to work shoulder-to-shoulder with a team of extremely talented, dedicated engineers and product builders. Deep, focused exposure to Arcadia's platform architecture, data model, and engineering practices. Be part of a mission-driven company transforming healthcare by changing the way patients receive care. A flexible, remote-friendly company with personality and heart. Employee-driven programs and initiatives for personal and professional development. Membership in the Arcadian and Barkadian community. About Arcadia Arcadia.io helps innovative providers and payers across the country transform healthcare to reduce cost while improving patient health. We do this by aggregating large amounts of disparate data, applying algorithms to identify opportunities to provide better patient care, and making those opportunities actionable by physicians at the point of care in near-real time. We are passionate about helping our customers drive meaningful outcomes. We are growing fast and have emerged as a market leader in the highly competitive population health management software market and have been recognized by industry analysts KLAS, IDC, Forrester, and Chilmark for our leadership. For a better sense of our brand and products, please explore our website. Protect Yourself If you have concerns about the authenticity of a job offer or recruitment-related communication claiming to be from Arcadia, we encourage you to verify by contacting us directly at (781) 202-3600 and select option 3. For more information, visit our website. This position is responsible for following all Security policies and procedures in order to protect all PHI under Arcadia's custodianship as well as Arcadia Intellectual Properties.  For any security-specific roles, the responsibilities would be further defined by the hiring manager.

Location: Chicago DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk. Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets. We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus. As a Junior Trader , you will have an opportunity to combine the disciplines of risk management, research and technology to operate trading strategies across multiple asset classes. You will work closely with experienced traders, software engineers and quantitative researchers to ensure optimal system performance. Responsibilities: Operate automated, latency-sensitive trading systems Conduct quantitative research into strategy performance, back-testing hypotheses and refine strategies Adjust system parameters dynamically based on market conditions Manually trade to reduce risk exposure when necessary Identify opportunities for automation and propose improvements to trading systems and operational workflows Develop internal tools and utilities to improve monitoring, operational efficiency, and desk processes Communicate relevant market news, events, and system behaviour to team members in a timely manner Generate feedback on trading system performance through analysis of system logs, executions, and market data Required Experience: Bachelor’s degree in Computer Science, Engineering, Mathematics, Statistics, Computational Finance, or an equivalent STEM field Ability to understand and reason about complex distributed trading systems Strong analytical and quantitative mindset Proficiency in programming languages such as Python or C++ Meticulous attention to details, strong judgement and accuracy in work Excellent verbal and written communication skills, with the ability to effectively interact and collaborate across research and engineering teams Ability to adapt in a fast-paced, collaborative, and results-oriented environment, and thrive under time-sensitive and high-pressure situations Self-starter with strong proactivity, sets ambitious goals, willingness to drive and own projects, and proactively identifies opportunities for impact Nice to Have: Prior trader or trading analyst experience preferred The annual base salary range for this position is $150,000 to $200,000 depending on the candidate’s experience, qualifications, and relevant skill set. The position is also eligible for an annual discretionary bonus. In addition, DRW offers a comprehensive suite of employee benefits including group medical, pharmacy, dental and vision insurance, 401k (with discretionary employer match), short and long-term disability, life and AD&D insurance, health savings accounts, and flexible spending accounts. For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice . California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice . [#LI-LR1]

Location: Paris, Remote Workplace: remote The Data team builds and evolves the data platform that powers critical product features and helps every team make smarter, faster decisions. Our data ecosystem supports hundreds of pipelines, dashboards, and tools, providing the foundation for both day-to-day operations and strategic decision-making. What makes our team unique is our central role across the company: we sit at the intersection of Product, Operations, Customer Success, Sales, and Engineering. As our first Analytics Engineer, you’ll bridge the gap between our data platform and business teams by building trusted datasets, meaningful KPIs, and self-service analytics capabilities. You’ll work closely with our Senior Data Analyst and Data Engineers to improve data models and documentation, strengthen the reliability and efficiency of our warehouse, and help teams become increasingly autonomous with Snowflake, Looker/Metabase, and AI-powered analytics. You’ll then contribute to our broader mission of making data more accessible and actionable across 360Learning. Within 1 month, you will: Discover 360Learning, its platform, teams, and culture Get familiar with our data stack (Snowflake, Looker, dbt, etc.) and our ways of working Understand our data models, ways of working, and self-service analytics strategy Within 3 months, you will: Build reliable, well-documented datasets and KPIs that help teams answer their own business questions Enable teams to access and leverage data through Snowflake MCP, empowering them to answer business questions more independently Collaborate with our Senior Data Analyst to improve documentation, data models, and best practices to strengthen self-service adoption Within 6 months, you will: Partner with Data Engineering to improve warehouse performance, reliability, and cost efficiency Help teams become more autonomous on Snowflake and BI tools by guiding them toward the right datasets and sources of truth Become a go-to partner for teams looking to monitor key metrics, explore data, and make data-driven decisions The Skill Set: Strong SQL skills with the ability to write complex queries and work confidently with data. Hands-on experience with BI and analytics tools, such as Looker, Metabase, or Omni. Experience with modern data warehouses, such as BigQuery, Redshift, or Snowflake. Good working knowledge of Git and version control best practices. Experience with dbt is a strong advantage. Strong interest in AI and emerging analytics tools, with a focus on their practical application to business and data-related challenges. Solid understanding of data modeling and data warehousing principles, with an interest in building reliable, scalable, and efficient data solutions. Curiosity and problem-solving mindset: able to break down ambiguous questions into clear, actionable steps Comfortable collaborating with non-technical stakeholders, understanding their needs, and communicating technical concepts in a simple way. Fluent English (US/UK) / French fluent Enthusiasm for our working environment explained here: https://bit.ly/Convexity_360L What We Offer: Compensation: Package includes base salary, a variable component and equity 📈 Benefits/Perks : Work From Home stipend, RTT, lunch vouchers, medical insurance, gym subscription, 1 month parental leave for the second parent. Balance: Flexible hours, full remote work possible anywhere in France 🏠 Diversity, Equity, and Inclusion : We have 6 active ERGs including Mental Health, Environmental/Sustainability, Women, Parents, LGBTQIA2S+, and Ethnic Diversity. Each group has at least one executive team member serving as a member of the group, bringing greater awareness to each group’s activities and providing a quick path to impact 🤝 Corporate Social Responsibility : Review our CSR Charter: 360learning.com/blog/corporate-social-responsibility-charter 🌎🌏🌍 Culture: A framework that will help you make an impact - envision our way of working and our Convexity Culture: https://bit.ly/Convexity360L & find out more about the teams, product and processes https://bit.ly/42H1ggC 🚀👩🏻‍💻🏆 Interview Process: Phone Screen with our Talent Acquisition Manager Discovery Meeting with our Senior Data Manager Case study Meeting with our Senior Data Manager and our Senior Data Analyst Clarification Meeting with our 1 Data Engineer and our Senior Data Analyst Culture Fit Meeting with our VP Engineering Offer! Who We Are 360Learning enables companies to upskill from within by turning their experts into champions for employee, customer, and partner growth. With our LMS for collaborative learning, Learning & Development teams can accelerate upskilling with the help of internal experts instead of slow top-down training. 360Learning is the easiest way to onboard and upskill employees, train customer-facing teams, and enable customers and partners–all from one place. 360Learning powers the future of work at 1,700 organizations. Founded in 2013, 360Learning has raised $240 million with 400+ team members across North America and EMEA. Learning Includes Everyone. In concert with our culture, 360Learning believes learning includes everyone and that means embracing the strengths of diversity, connectedness, and inclusion. Through conscientious efforts, our global footprint celebrates cultures, perspectives, and experiences from all over the world to support our platform that is built for all regardless of race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. Thus, 360Learning is proud to be an equal opportunity workplace, and we commit to continue this throughout our processes for recruitment, compensation, benefits, performance, promotion, and all other conditions and terms of employment. We want to learn from and with you!

Location: Ebene Workplace: OnSite Company Description We’re http://checkout.comCheckout.com http://Checkout.com. You might not know our name, but companies like eBay, Spotify, Klarna, Uber, and Sony do, because we’re behind many of the digital experiences you use every day. We are where the world checks out, enabling over 10 billion transactions yearly for more than one billion global shoppers. Whether you want to book a holiday, order food, renew a subscription, or check out online, there’s a good chance our tech powers the payments behind the scenes. Our platform helps the most ambitious businesses deliver effortless digital experiences, at scale. If you want to do career-defining work, you’ve come to the right place. We move fast, think globally, and believe great teams are built by hiring exceptional people with conviction, curiosity, and the desire to make an impact. With 20 offices across six continents and London as our HQ, we’re shaping the future of fintech – and we’re just getting started. Checkout.com http://Checkout.com's Process Architecture pillar designs how operations should work. This role builds what that looks like in practice. You'll use modern AI-assisted development tools, Cursor, Claude Code, n8n, and LLM APIs, to rapidly prototype and ship internal tools that eliminate manual effort across our operational teams. Your primary customers are Disputes, Due Diligence, and Transaction Monitoring: high-volume, high-stakes teams where the right automation meaningfully reduces analyst burden and improves decision quality. You'll move fast. You'll take processes that currently live in spreadsheets and manual case queues and turn them into something that mostly runs itself. Process Architects redesign how work flows; you make the new flow real. What You'll Do - Use AI-assisted development (Cursor, Claude Code) to prototype and ship tools for operational teams - fast. - Build workflow automations that connect case management systems, document stores, APIs, and LLMs into end-to-end pipelines - Create analyst-facing interfaces, triage tools, summary generators using self-built applications, Retool, or similar. - Apply LLMs where they reduce cognitive load: classification, case summarisation, structured extraction, decision support. - Embed with Disputes, CDD, Periodic Review, and Transaction Monitoring to learn how analysts actually work - not how the process doc says they do. - Translate vague pain points i.e "this part takes forever" into shipped tools in days or weeks, not quarters. - Demo early, iterate based on what analysts actually use versus ignore. - Treat every tool as a product: instrument usage, capture feedback, measure time saved or quality gained. - Document what you build and share reusable patterns so good ideas compound. What We're Looking For We care more about what you've built and how you think than years of experience or formal credentials. Must-haves - You've used Cursor, Claude Code, Copilot, or similar to build something real, a script, a tool, a side project, that solved an actual problem. Not just tutorials - Comfortable in Python, or willing to be within weeks. - Basic API fluency: you can read a doc, make a request, parse the response, and chain a few calls - Familiarity with at least one LLM API. You've written a prompt, gotten structured output back, and understood why it sometimes goes wrong - Bias to ship - you'd rather get a rough version in front of users on Friday than a polished version in three weeks - Curiosity. You're the kind of person who opens the hood - you want to understand how things work, not just use them Nice-to-haves - Workflow automation tools (Zapier, n8n, Make) - Retool, Gradio, or similar lightweight UI frameworks - Git, basic SQL, or comfort with JSON/CSV at scale - Exposure to payments, fraud, compliance, or risk operations - even tangentially - A portfolio, GitHub, or demo you can walk us through Additional Information Bring all of you to work We create the conditions for high performers to thrive, through real ownership, fewer blockers, and work that makes a difference from day one. Here, you’ll move fast, take on meaningful challenges, and be recognized for the impact you deliver. It’s a place where ambition gets met with opportunity, and where your growth is in your hands. We work as one team, and we back each other to succeed. So whatever your background or identity, if you’re ready to grow and make a difference, you’ll be right at home here. It’s important we set you up for success and make our process as accessible as possible. So let us know in your application, or tell your recruiter directly, if you need anything to make your experience or working environment more comfortable. Life at Checkout.com http://Checkout.com We understand that work is just one part of your life. Our hybrid working model offers flexibility, with three days per week in the office to support collaboration and connection. Curious about what it’s like to be part of our team? Visit our Careers Page https://www.checkout.com/careers to learn more about our culture, open roles, and what drives us. For a closer look at daily life at Checkout.com http://Checkout.com, follow us on LinkedIn https://www.linkedin.com/company/checkout/life/ and Instagram https://www.instagram.com/checkout_com/

Location: Philippines We are looking for an Investigation Officer to support fraud prevention and case management across the organization. In this role, you will handle end-to-end investigations, analyze digital and operational evidence, and work closely with internal teams to mitigate risks and support legal actions when needed. This position is ideal for someone with a strong investigative mindset, attention to detail, and experience in financial services or security environments. KEY RESPONSIBILITIES - Manages cases received thru Shared Mailbox and Hotline. - Conduct Initial Investigation of Cases Triggered or received from other departments. - Ensure that all data were gathered for the following End to End investigation. - Provides direct technical support to investigation, litigation, and forensic analyst to collect, preserves, process, analyze and interpret digital evidence from broad range of data available on open sources (social media, etc.). - Investigate assigned cases at various risk levels. - Implement fraud prevention and investigation programs, policies, systems, documentations, and investigation plans. - Conduct covert and overt investigation. - Conduct surveillance and counter-surveillance. - Represent Company in the prosecution and litigation of cases as required. - Coordinates with other Internal Departments for Risk Mitigation Strategy. - Manages Business Intelligence (Mystery Shopping). REQUIREMENTS AND EXPECTATIONS - Bachelor’s degree in criminology or any related four year courses - Law enforcement/Military background preferred. - At least 3-year experience in Investigation preferably in Financing, Banking and Security Industry. - Proficient in Microsoft Applications (Excel, Word, PowerPoint) - Excellent written and verbal communications

Location: Bengaluru, India We are looking for a Senior Backend Developer to design and develop enterprise grade backend solutions using C# and .NET. You will contribute to scalable microservices, distributed systems, cloud native services, and cross functional engineering collaboration. This project is centered on developing resilient backend services for a distributed platform with microservices, REST integrations, and event driven architecture. It supports scalable enterprise solutions across multiple functional domains and cloud environments. Design and develop enterprise grade backend services using C# and .NET, .NET Core Design and implement scalable microservices within service oriented platforms Develop services supporting multi source data aggregation, policy and rules enforcement, and extensible functional domains Apply microservice architecture principles including API First Design, Domain Driven Design, and bounded contexts Design and implement synchronous REST based integrations with internal and external systems Develop and support asynchronous and event driven integration patterns Design efficient data models using relational SQL and NoSQL databases Optimize database performance and manage data consistency across distributed systems Build resilient, scalable, and maintainable cloud native solutions using Microsoft Azure Implement appropriate resiliency, fault tolerance, configuration management, and distributed system patterns Collaborate with Architects, Product Managers, Business Analysts, QA Engineers, and other Developers throughout the delivery lifecycle Contribute to technical design discussions, architecture decisions, code reviews, and engineering standards Develop and maintain unit tests to ensure code quality, reliability, and maintainability Troubleshoot complex application, integration, performance, and production issues Work effectively with globally distributed teams and participate in coordinated meetings across time zones when required 10+ years of backend software development experience with strong hands on expertise in C# and .NET, .NET Core Strong experience designing and developing enterprise grade microservices Strong understanding of microservice architecture patterns including API First Design, Domain Driven Design, and bounded contexts Experience designing and consuming REST APIs and implementing synchronous system integrations Experience working with asynchronous and event driven architectures Strong hands on experience with relational SQL databases and NoSQL databases Experience with data modelling, database performance optimization, and data consistency within distributed systems Hands on experience with Microsoft Azure and Azure native services Strong understanding of cloud configuration management, resiliency patterns, scalability, and distributed system design Experience designing maintainable, highly available, and scalable backend solutions Strong understanding of software engineering principles, coding standards, and unit testing Ability to analyze complex technical requirements and translate them into effective backend solutions Strong problem solving and troubleshooting skills Ability to communicate clearly in English and collaborate effectively with technical and non technical stakeholders Experience working with geographically distributed development teams Experience in the travel technology domain Knowledge of Global Distribution Systems Experience integrating with GDS platforms or travel suppliers Exposure to booking platforms, travel APIs, reservation systems, or travel content aggregation Understanding of the broader travel ecosystem and supplier integration landscape Experience working on large scale enterprise or distributed platforms Experience with multi source data aggregation and policy or rules based processing Experience supporting cloud native transformation or modernization programs

Location: Remote Canada At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. About the Operations team The Operations team delivers seamless customer experiences and enables new product capabilities while ensuring operational excellence. The team owns strategy, planning, technical execution, customer service, fraud operations, process design, quality, training, and program management. We drive efficiency, resolve issues quickly, and scale operations as the business grows. Our goal is to deliver seamless support while maintaining high standards and reducing risk. About the role Affirm’s mission is to deliver honest financial products to improve lives. We do this by partnering with top companies to offer responsible financial products at the point of sale. Working jointly with our clients, Affirm co-develops and executes on joint partnership strategies to innovate and grow the business. We are seeking a Partner Manager to lead performance and transformation across our global BPO vendor network. This role is accountable for driving vendor excellence and customer satisfaction at scale, while also shaping long-term vendor strategy and leading large cross-functional initiatives. The ideal candidate will bring both vendor/BPO management expertise, and the analytical capability to validate, interpret, and act on data, enabling better decisions and driving change at scale. This is a senior leadership role within Operations, with direct accountability for outcomes across multiple functional areas, across customer needs and requiring significant strategic oversight, cross-functional leadership, and sharp analytical judgement. What you’ll do Own vendor performance, including customer experience, service-levels, compliance, and QA outcomes. Lead executive-level vendor governance (e.g. QBRs, escalations). Define operational strategies for horizontal services across the vendor network. Partner with the Business Analyst team to shape what metrics and dashboards are needed to run the business. Use data to diagnose performance gaps, validate trends, and prioritize interventions. Run ad-hoc analyses and scenario modeling to support rapid decision-making. Support Strategic Partnerships by serving as entry point and liaison for unique partner operational needs. Lead initiatives that require coordination across Operations, Compliance, Product, Risk, Training, QA, and WFM. Translate vendor insights into cross-functional actions that improve customer experience and compliance outcomes. Act as senior escalation point for systemic issues. Drive key initiatives such as product/process rollouts, vendor migrations, or regulatory implementations. Design and execute structured change programs, ensuring vendor readiness and sustained adoption. Champion continuous improvement and innovation across the vendor network. What we look for 8+ years of expertise in vendor/BPO management, operations, or related fields Strong analytical background with the ability to define the right questions, work with analysts to build the right tools, and run independent analysis when needed. Proven ability to drive vendor accountability through scorecards, governance, and structured interventions. Track record of leading large, cross-functional programs with measurable business impact. Exceptional communication and influencing skills with internal and vendor executives. Experience managing vendor networks of 2,000+ agents across multiple geographies (preferred). Industry background in fintech, technology, or high-growth customer operations (preferred). Knowledge of compliance-heavy functions (Fraud, Payments, Compliance) (preferred). Skilled at turning complex data into clear narratives for senior leadership (preferred). Pay Grade - L Equity Grade - 5 Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills. Base pay is part of a total compensation package that may include monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents). In addition, the employees may be eligible for equity rewards offered by Affirm Holdings, Inc. (parent company). CAN base pay range per year: $ 128,000 - $ 188,000 This posting is for an existing vacancy. #LI-Remote Remote-first with flexibility built in Affirm is proud to be a remote-first company. Most roles can be done from almost anywhere within the country of employment. Some positions may occasionally require in-person work at an Affirm office, and a few are office-based due to the nature of the work. All new hires will be invited to attend an in-person onboarding experience. Benefits designed for you Our benefits reflect our commitment to care, transparency, and flexibility. Here are a few highlights: Health coverage at no cost: We cover 100% of premiums for employees and their dependents. Spending stipends: Monthly stipends support your tech setup, and the ability to choose health and wellness options that are right for you. Time off to recharge: Flexible time off and generous holiday calendars help you rest when you need to. Own a piece of what you build: Our employee stock purchase plan (ESPP) lets you buy Affirm stock at a discount. We’re committed to providing an inclusive interview process, including accommodations for candidates with disabilities. If you need support, we’re happy to help. For positions based in San Francisco or Los Angeles: Affirm considers qualified applicants with arrest and conviction records, as required by law. By clicking "Submit Application," you acknowledge that you have read Affirm's Global Candidate Privacy Notice and consent to the use of your personal information as described.

Location: Remote US At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. About the Operations team The Operations team delivers seamless customer experiences and enables new product capabilities while ensuring operational excellence. The team owns strategy, planning, technical execution, customer service, fraud operations, process design, quality, training, and program management. We drive efficiency, resolve issues quickly, and scale operations as the business grows. Our goal is to deliver seamless support while maintaining high standards and reducing risk. About the role Affirm’s mission is to deliver honest financial products to improve lives. We do this by partnering with top companies to offer responsible financial products at the point of sale. Working jointly with our clients, Affirm co-develops and executes on joint partnership strategies to innovate and grow the business. We are seeking a Partner Manager to lead performance and transformation across our global BPO vendor network. This role is accountable for driving vendor excellence and customer satisfaction at scale, while also shaping long-term vendor strategy and leading large cross-functional initiatives. The ideal candidate will bring both vendor/BPO management expertise, and the analytical capability to validate, interpret, and act on data, enabling better decisions and driving change at scale. This is a senior leadership role within Operations, with direct accountability for outcomes across multiple functional areas, across customer needs and requiring significant strategic oversight, cross-functional leadership, and sharp analytical judgement. What you’ll do Own vendor performance, including customer experience, service-levels, compliance, and QA outcomes. Lead executive-level vendor governance (e.g. QBRs, escalations). Define operational strategies for horizontal services across the vendor network. Partner with the Business Analyst team to shape what metrics and dashboards are needed to run the business. Use data to diagnose performance gaps, validate trends, and prioritize interventions. Run ad-hoc analyses and scenario modeling to support rapid decision-making. Support Strategic Partnerships by serving as entry point and liaison for unique partner operational needs. Lead initiatives that require coordination across Operations, Compliance, Product, Risk, Training, QA, and WFM. Translate vendor insights into cross-functional actions that improve customer experience and compliance outcomes. Act as senior escalation point for systemic issues. Drive key initiatives such as product/process rollouts, vendor migrations, or regulatory implementations. Design and execute structured change programs, ensuring vendor readiness and sustained adoption. Champion continuous improvement and innovation across the vendor network. What we look for 8+ years of expertise in vendor/BPO management, operations, or related fields Strong analytical background with the ability to define the right questions, work with analysts to build the right tools, and run independent analysis when needed. Proven ability to drive vendor accountability through scorecards, governance, and structured interventions. Track record of leading large, cross-functional programs with measurable business impact. Exceptional communication and influencing skills with internal and vendor executives. Experience managing vendor networks of 2,000+ agents across multiple geographies (preferred). Industry background in fintech, technology, or high-growth customer operations (preferred). Knowledge of compliance-heavy functions (Fraud, Payments, Compliance) (preferred). Skilled at turning complex data into clear narratives for senior leadership (preferred). Pay Grade - L Equity Grade - 6 Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills. Base pay is part of a total compensation package that may include equity rewards, monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents.) USA base pay range (CA, WA, NY, NJ, CT) per year: $165,000 - $225,000 USA base pay range (all other U.S. states) per year: $146,000 - $206,000 #LI-Remote Remote-first with flexibility built in Affirm is proud to be a remote-first company. Most roles can be done from almost anywhere within the country of employment. Some positions may occasionally require in-person work at an Affirm office, and a few are office-based due to the nature of the work. All new hires will be invited to attend an in-person onboarding experience. Benefits designed for you Our benefits reflect our commitment to care, transparency, and flexibility. Here are a few highlights: Health coverage at no cost: We cover 100% of premiums for employees and their dependents. Spending stipends: Monthly stipends support your tech setup, and the ability to choose health and wellness options that are right for you. Time off to recharge: Flexible time off and generous holiday calendars help you rest when you need to. Own a piece of what you build: Our employee stock purchase plan (ESPP) lets you buy Affirm stock at a discount. We’re committed to providing an inclusive interview process, including accommodations for candidates with disabilities. If you need support, we’re happy to help. For positions based in San Francisco or Los Angeles: Affirm considers qualified applicants with arrest and conviction records, as required by law. By clicking "Submit Application," you acknowledge that you have read Affirm's Global Candidate Privacy Notice and consent to the use of your personal information as described.

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic’s mission is to ensure that the world safely makes the transition through transformative AI. Security is one of the clearest places where that mission plays out: the same capabilities that help attackers move faster can help defenders move faster too, and helping them use those capabilities safely and well is what this team is for. Security teams are among the earliest and most demanding users of frontier AI. They use Claude to review code at scale, find vulnerabilities before attackers do, and work through alert queues their analysts can’t keep up with. Anthropic’s Applied AI organization is building a dedicated Security team to help them do this well, and we are looking for its first leader. You will build this team from zero. You’ll decide which security customers the team serves first, who you hire and in what order, and how the team works with Sales, Applied AI Engineering, and our security, legal, and trust partners. You’ll also stay hands-on with a few of our most important security customers, because what you learn in those accounts becomes the playbook for everyone else. You’ll also set the standard for how security customers use Claude responsibly, including where a person has to review the output before anyone acts on it. What you’ll do Hire, onboard, and develop the first Applied AI Architects on the Security team. Coach senior and early-career architects differently, and give each one clear goals. Decide where the team spends its time: which segments and account types come first, which deals get architect coverage, and how to say no clearly when demand outruns headcount. Partner with security account executives on joint account plans, regular pipeline and forecast reviews, and deals where the customer’s security review sets the close date. Guide customers from discovery through evaluations and proofs of concept with written success criteria. Then take them from one-time code scans to sustained workloads: application security in the development lifecycle, continuous automated penetration testing, alert triage and investigation, and vulnerability and threat intelligence. Work alongside the security ISVs, systems integrators, and managed security providers already in our customers’ accounts. Keep a clear line between what Anthropic delivers and what partners deliver. Bring in Applied AI Engineers and our security, legal, and trust teams when a customer’s build or review needs them. Write the first security playbooks, reference implementations, and evaluation approaches. Bring what you learn back to Product, Engineering, and Research, so Claude becomes more useful and more trustworthy for defenders at the same time. Carry a small number of strategic security accounts yourself, from executive briefings with CISOs to hands-on workshops with their engineers. You may be a good fit if you Have 12+ years of industry experience with at least 4 years  managing a team of customer-facing technical people, such as solutions architects, sales engineers, or security consultants, and can show how the team grew and performed under you. Have hands-on security depth in at least one area, such as application security, detection and response, offensive security, or vulnerability management, deep enough that practitioners trust your judgment . Application security experience highly preferred. Have used LLMs for real security work, such as code review, vulnerability discovery, triage, or investigation, and can say where they helped and where they failed. Have worked large enterprise security deals end to end, including customer security reviews, in close partnership with sales. Care about making AI both safe and useful for defenders, and can explain security risk and value to a CISO and to the engineers who will run the work, in terms each one cares about. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $380,000 — $450,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Remote, United States GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role As the Corporate Development Director, you'll help influence how GitLab invests to win: what we build, what we buy, where we partner, and what we should not pursue. This role sits within the Corporate Development & Strategic Partnerships team, reporting to the VP, Corporate Development & Strategic Partnerships. This role straddles strategy and M&A engagements. You'll lead research that frames GitLab's options: mapping the markets in and around our AI-powered DevSecOps platform, testing where we have a right to win, and turning that into clear recommendations for the executive team. When the answer is to acquire, you'll drive the deal process end to end, from outreach through close and integration. Success here is not measured by deal count. It looks like sharper strategic choices: a well-reasoned point of view on our priority markets, investment theses that product and executive leaders rely on, acquisitions that speed up the roadmap when buying is the right answer, and an educated no when it isn't. You'll own the wider market perspective rather than individual product categories, and work with the team's Analyst on the research behind it. What you'll do Strategy and research Own the wider market view. Research the broader market GitLab competes in, beyond specific product categories: competitive dynamics, AI-native entrants, technology shifts and where value is moving. Collaborate with the team's Analyst on the research and turn the findings into a clear point of view on where GitLab should play. Build an investment thesis for each focus area. Work with Product and Engineering leaders to define the problems worth solving, the capabilities GitLab needs, and what it would cost in time and money to get there on our own. Own the competitive and landscape view. Maintain market maps and a current read on GitLab's competitors: their strategy, product direction, positioning, pricing, and M&A and funding activity. Produce competitor analyses that show where we lead, where we're exposed and how rivals are likely to move. Flag shifts by competitors, hyperscalers and AI labs that change our options, and bring the implications to Product and the executive team. Define where GitLab should not play. Identify adjacencies that dilute focus and markets where the economics or competition work against us. Make the case for a no with the same rigor as a yes. Build, buy or partner Run the build, buy, partner analysis. For each strategic gap, compare the options side by side on speed, cost, risk, control and strategic fit, and bring a clear recommendation. Deliver strategic clarity to executives and the Board. Produce short strategy memos/decks and business cases that set out the decision, the trade-offs and what we give up with each path. Feed company strategy and planning. Bring an outside-in view of the market and the inorganic options available into annual and long-range planning. Work hand in hand with Strategic Partnerships. When partnering is the right answer, frame the opportunity and hand it to the partnership owner with a clear thesis. When it isn't, explain why. Deal execution and integration Own end-to-end deal process management. Validate target fit against GitLab's our target profile, product roadmap and other criteria, and build the acquisition rationale and business case. Drive our M&A process from intro call through the various steps through to closing and integration. Evaluate the deal. Develop valuation, commercial integrity assessment, impact on GitLab's business and provide negotiations assistance to the VP and the executive team. Lead cross-functional diligence. Run pre-LOI validation and diligence across Product, Engineering, Security, Finance, Legal and People, and communicate findings clearly. Drive deal documents with Legal. Prepare NDAs, LOIs and purchase agreements with GitLab Legal and outside counsel. Own integration outcomes. Lead post-acquisition integration as the DRI, measured against the roadmap and business goals in the business case. Bring lessons learned back into the strategy work. Build the external network. Maintain relationships with founders, executives, investors, bankers and advisors that bring us early insight and pipeline. What you'll bring Strategy and deal experience. 8+ years across corporate development, corporate strategy, strategy consulting or technology investing, including 5+ years leading acquisitions end to end in enterprise software. Structured strategic thinking. You form a point of view from incomplete information, test it against data, and change your mind when the evidence says so. You're as comfortable recommending that we stay out of a market as that we enter it. Market research depth. Skilled in market sizing, competitive analysis and landscape mapping, and in turning research into a recommendation, not a report. Deal craft. Skilled in valuation, financial modeling, deal structuring, negotiation and integration planning, with experience across varied consideration structures. Technical fluency. A working understanding of software development, DevSecOps and the AI landscape, enough to hold substantive conversations with product and engineering leaders about roadmaps and architecture. Clear executive communication. You write short, decision-ready updates and present trade-offs plainly to executives and the Board, in an async-first environment. Influence without authority. You build trust across Product, Engineering, Finance and Legal and move decisions forward across functions. Ownership with collaboration. You own the strategic view and the recommendation, and partner closely with the team's Analyst on research and analysis. Preferred: familiarity with the DevSecOps, security, AI and open source ecosystems. You value the all remote lifestyle and share our values . About the team The Corporate Development & Strategic Partnerships team helps GitLab decide how to grow beyond what we build on our own. We own inorganic strategy: acquisitions, strategic partnerships with hyperscalers and AI labs, and the research that tells us which to pursue and which to pass on. We work across Product, Engineering, Finance, Legal and the executive group. We set direction and do the detailed work ourselves, with a high degree of ownership and transparency in a fully remote, asynchronous environment. The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our benefits and equity . Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary. United States Salary Range $168,000 — $285,600 USD How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

Location: Vancouver, Canada Workplace: Hybrid Sensor Tower’s digital intelligence platform provides unparalleled insight into market trends, advertising, competitor’s strategies, and consumer/user audience across mobile, web, and gaming. Sensor Tower’s insights are trusted by more than 2,500 enterprises worldwide across tech, retail/commerce, entertainment/media, gaming, consumer packaged goods and finance. Who We Are Sensor Tower is the leading solution for mobile marketers, app developers, and industry analysts who demand superior competitive insights into the mobile market economy and are looking to increase app downloads through app store optimization. We serve independent and Fortune 500 customers alike, spanning the mobile games, travel & hospitality, music, finance, and broadcast entertainment markets. Our suite of products consist of free, “SMB”, and Enterprise-tiered solutions including Store Intelligence, Usage Intelligence, Ad Intelligence, and App Intelligence. Our insights are cited by the world’s leading news and finance publications, including the Wall Street Journal, The New York Times, Forbes, Fortune, Bloomberg, CNBC, The Washington Post, and Reuters. Role Summary As Sensor Tower continues to grow as a global company, we are looking for a Senior Data Engineer to build amazing products together. We have a wonderful team of more than a hundred engineers globally and are preparing for much more growth in the coming years. We are looking for an experienced and passionate professional to focus on developing our products in the fast-growing exciting environment. You will report to our Engineering Manager while working closely with the cross-functional product development team and founders. What You’ll Do - Take end-to-end ownership of the data product lifecycle - from business understanding, data analysis, product design, development, deployment, to delivery. - Think beyond coding: bring strong product sense, flexibility in problem-solving, and the ability to proactively align technical solutions with business needs. - Drive communication and coordination across teams to clarify or redefine goals, ensuring data products meet evolving business requirements. - Develop high-quality data programs using PySpark, with strong ownership of data mining and processing challenges. - Conduct code reviews, software design and architecture, and pair programming. - Collaborate closely with product managers and data scientists to design and deliver impactful data products. - Explore and evaluate new technologies in the Data ecosystem, sharing insights with the team. What We’re Looking For - 5+ years experience working on Data Modeling and Data Analysis domain. - Stellar engineering skills with at least 2+ years of experience with most of our core technologies such as: Spark, Python, HDFS, Databricks, AWS, PostgreSQL, MongoDB, and Airflow. - Experience in Pandas, Sklearn or other data science and data analysis toolset is a big plus. - Having a background of data mining and machine learning domain, familiar with common algorithms and libs is a plus. - Solid grasp of modern software development lifecycle. - Ability to efficiently navigate complex multiconstraint decision-making. - Experience working in a diverse and international environment. - Experience in the mobile app, advertising, or gaming ecosystem. - Experience with product design and infrastructure challenges. - Major in Math or Computer Science. Read more about some of our Technical challenges here (written by members of our engineering team): https://sensortower.com/blog/speeding-up-the-backend-with-graph-theory https://sensortower.com/blog/how-we-scaled-to-thousands-of-sidekiq-workers About Sensor Tower Sensor Tower is a global provider of digital intelligence solutions, empowering companies to understand consumer behavior and market performance across mobile apps, digital platforms, and gaming ecosystems. Headquartered in San Francisco, Sensor Tower's insights are trusted by more than 2,500 enterprises worldwide.   Founded in 2013, Sensor Tower’s market insights have helped marketers, app developers, and gaming leaders demystify the mobile app ecosystem with visibility into usage, engagement, and paid acquisition strategies. Today, Sensor Tower’s digital market insights platform has expanded to include Gaming, Web, Audience, and Digital Advertising Insights, helping global leaders understand market trends and their competitor’s strategies and audiences across the entire digital ecosystem.   Why Sensor Tower? Our flexible work environment allows employees to live in greater connection with the people, places, and activities they love! Global Teams Sensor Tower has a global presence, with teams across the world and available in most time zones, including North America, Europe, Middle East, Africa, APAC and LATAM. We maintain regional offices in SF, LA, NY, London, Singapore, Beijing, Seoul, Tokyo and Vancouver.   Our benefits include: - Flexible time off so employees can shape their time away from work. - Health and wellness stipend to achieve and maintain a healthy lifestyle through physical and mental fitness. - Wi-Fi Allowance. - Monthly internet stipend and a one-time $500 home office stipend.   We are committed to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, and veteran status. We will consider qualified applicants with arrest and conviction records. If you have a disability or special need, please do not hesitate to let us know and we'll do our best to accommodate. Fraud warning: It's common for scammers to create positions that look legitimate on other sites. To ensure your submission is considered, only apply for positions at Sensor Tower through our company website or through posts directly associated with Sensor Tower company profiles on sites such as LinkedIn, Indeed, BuiltIn or Hackajob. At no point will Sensor Tower ever ask for money, credit card, or bank account information to complete a job application. Communications received from Sensor Tower are only sent by e-mail addresses ending in sensortower.com http://sensortower.com. All Sensor Tower interviews will be conducted via phone or Zoom. At no time will a conversation be moved to an alternative email outside of sensortower.com http://sensortower.com or text. Should an issue arise that you feel we should be aware of, please contact us. Please provide your resume when applying. To all recruitment agencies: Sensor Tower does not accept third party resumes. Please do not send resumes to our jobs alias, Sensor Tower employees or any other organization location. Sensor Tower is not responsible for any fees related to unsolicited resumes. Sensor Tower will not pay any third-party agency or company that does not have a signed agreement with Sensor Tower. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Location: Almaty, Kazakhstan Workplace: OnSite WHY WORK AT HIGGSFIELD AI? Higgsfield AI is the fastest-scaling generative AI company in history, hitting $1B in annual revenue run rate, 30M+ users worldwide, 6M+ generations per day, and powering 390 of Fortune 500 brands. We're building at the absolute frontier of AI-powered video creation and next-generation creative tools. Joining Higgsfield means becoming part of a high-impact team shaping the future of AI-native experiences, at a company that isn't just moving fast, but rewriting what fast looks like. Who we are looking for Everyone at Higgsfield is an A-player. We’re looking for teammates who bring: - A strong product sense and an understanding of how interface decisions affect conversion, retention and revenue. - The ability to design clear user states and in-product communication, not just build screens. - Broad context over narrow specialization: comfort working across product verticals and monetization mechanics. - Resilience and focus in a high-intensity startup environment, where priorities shift fast and the schedule isn’t always predictable. What you will work on - Build the revenue-critical parts of Higgsfield products: paywalls, pricing pages, checkout and subscription flows used by millions of people. - Develop onboarding, upsell and in-product communication that drive conversion and retention. - Design and implement complex UI state logic across plans, limits, trials and payment states, where small mistakes are costly. - Run A/B tests and PLG experiments quickly, and work closely with analysts to turn data into product decisions. - Keep the interface fast and responsive, because every millisecond in the purchase flow affects conversion. - Ensure product quality through unit, integration and end-to-end tests for key payment and onboarding scenarios. Your must haves - Experience building complex software and teaming up with others to get it done. - Strong communication, collaboration and commitment to completing projects. - Experience with payment integrations, checkout or subscription flows. - Experience with A/B testing, feature flags and product analytics. - Knowledge of CI/CD, bundlers, profiling and performance optimization. - Ability to get up to speed on new context quickly and take full ownership of a task. - Willingness to work in a fast-paced startup environment. THE DEAL - Competitive salary in USD + stock options. - On-site role in our Almaty office (we will relocate you from anywhere) - Full-time position with high growth potential.

Location: Almaty, Kazakhstan Workplace: OnSite Why work at Higgsfield AI? Higgsfield AI http://higgsfield.ai/ is the fastest-scaling generative AI company in history, hitting $1B in annual revenue run rate, 30M+ users worldwide, 6M+ generations per day, and powering 390 of the Fortune 500 brands. We’re building at the absolute frontier of AI-powered video creation and next-generation creative tools. Joining the Growth team means designing the monetization engine behind that growth: every element you ship is measured in revenue. Who we are looking for Everyone at Higgsfield is an A-player. We’re looking for teammates who bring: - Strong product thinking and a deep understanding of product logic, user states and how design affects conversion and revenue. - The ability to think in scenarios, not screens: who sees what, when and why. - A sense of balance in user communication: honest with the user, but never underselling the product. - A drive to move fast, iterate constantly and scale what works. - Readiness to thrive in a high-intensity startup environment, where priorities shift fast. - The ability to collaborate closely with PMs, analysts and engineers. What you will work on - Design revenue-critical experiences: paywalls, pricing pages, checkout, upsells and subscription flows. - Design onboarding and in-product communication that is clear, honest and makes the path to purchase simple. - Map out user states across cohorts, plans and lifecycle stages. Even a single banner can have 6–7 variations, and you decide who sees which one. - Work with PMs and analysts to turn data and experiment results into design decisions. - Build rapid prototypes, run A/B tests and scale winning ideas. - Craft clear, high-quality UI for web and mobile within the Higgsfield design system. Your must haves - A portfolio of launched consumer products (B2C, subscription or AI products are a big plus). - Experience designing paywalls, onboarding, pricing or other monetization flows. - Experience with A/B testing and an understanding of conversion and retention metrics. - Strong UX and logic skills: you can design complex state systems, edge cases and user scenarios. - Solid visual design skills. - Willingness to work in a fast-paced startup environment. - Excellent communication skills and the ability to work in a cross-functional team. The deal - Competitive salary in USD + stock options. - On-site role in our Almaty office (we will relocate you from anywhere). - Full-time position with high growth potential.