Product Developer Jobs

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. The Fraud Engineering organization builds the foundational and tactical software that enables Affirm to respond strategically to fraud - both in real time and after the transaction. Our mission is to support business growth while protecting Affirm, our buyers, and our merchants. We evaluate risk at critical decision points in the user journey, rapidly adapt to evolving fraud patterns, and equip operations teams with the tools needed to investigate and mitigate fraud at scale. We’re looking for a Senior Software Engineer to join our fully remote team based in Europe. You’ll collaborate closely with stakeholders across North America - including teams in Product, Compliance, Machine Learning, Fraud Operations, Fraud Strategy, and other Fraud Engineering teams. The Fraud Engineering organization builds the foundational and tactical software that enables Affirm to respond strategically to fraud - both in real time and after the transaction. Our mission is to support business growth while protecting Affirm, our customers, and our merchants. We evaluate risk at critical decision points in the user journey, rapidly adapt to evolving fraud patterns, and equip operations teams with the tools needed to investigate and mitigate fraud at scale. The Fraud International Team (FIT) leads the engineering effort to extend Affirm's Fraud Decisioning System into markets beyond the US - Canada, the UK, Australia, and growing rapidly. We own real-time fraud decisioning for these markets, integrate region-specific risk vendors, and are building the platform that lets Affirm stand up fraud protection in a new country quickly and safely. As Affirm expands globally, FIT scales with it. We're looking for a Senior Software Engineer to join our fully remote team based in Europe. You'll collaborate closely w

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. The Fraud Engineering organization builds the foundational and tactical software that enables Affirm to respond strategically to fraud - both in real time and after the transaction. Our mission is to support business growth while protecting Affirm, our buyers, and our merchants. We evaluate risk at critical decision points in the user journey, rapidly adapt to evolving fraud patterns, and equip operations teams with the tools needed to investigate and mitigate fraud at scale. We’re looking for a Senior Software Engineer to join our fully remote team based in Europe. You’ll collaborate closely with stakeholders across North America - including teams in Product, Compliance, Machine Learning, Fraud Operations, Fraud Strategy, and other Fraud Engineering teams. The Fraud Engineering organization builds the foundational and tactical software that enables Affirm to respond strategically to fraud - both in real time and after the transaction. Our mission is to support business growth while protecting Affirm, our customers, and our merchants. We evaluate risk at critical decision points in the user journey, rapidly adapt to evolving fraud patterns, and equip operations teams with the tools needed to investigate and mitigate fraud at scale. The Fraud International Team (FIT) leads the engineering effort to extend Affirm's Fraud Decisioning System into markets beyond the US - Canada, the UK, Australia, and growing rapidly. We own real-time fraud decisioning for these markets, integrate region-specific risk vendors, and are building the platform that lets Affirm stand up fraud protection in a new country quickly and safely. As Affirm expands globally, FIT scales with it. We're looking for a Senior Software Engineer to join our fully remote team based in Europe. You'll collaborate closely w

Sr. Content Marketing Manager Location: San Francisco, CA · In-office 4 days/week Team: Strategic Marketing Reports to: Sr. Director, Strategic Marketing About the role Sigma produces a lot of content — blog, video, product launches, thought leadership — and this role is the editorial backbone that makes all of it sharper, faster, and on brand. You'll run the Sigma blog end-to-end, raise the quality bar on everything that ships, and build the systems and internal bench that let us scale content without losing voice or accuracy. This is a senior, hands-on editorial role for someone who edits with both technical judgment and taste. You'll work shoulder-to-shoulder with PMs and engineers to keep content accurate, coach employees and contractors to produce great work, and bring new thinking to how Sigma earns awareness. You'll join an established content team and won't have to do it all yourself — a Content Producer partners with you on publication and operations. This role reports to the Sr. Director of Strategic Marketing, with room to grow into people management as Sigma's content team scales. What you'll own Editorial standards and editing Edit a high volume of blog posts, balancing technical nuance with taste. You're comfortable editing in the data, analytics, apps, or AI space — you don't need to know everything, but you know what you don't know, flag it, and lean on PMs and engineers to keep content accurate and clear. Keep Sigma's content on brand across every channel and format. Reinforce the standards that contribute to great content: Clear positioning, high-quality imagery, and connected messages across multiple content pieces. Blog and AEO operations Run the Sigma blog end to end: calendar, editorial standards, and publication. Manage the AEO content calendar and the relationship with Sigma's AEO contractor, ensuring 5 AEO blogs are edited, SME-reviewed, and published each week. The team's Content Producer supports publication, with you s

About the Job: As the Order Management Specialist, you will ensure that system inputs are complete and accurate, orders are processed in a timely manner, work with the Deal Desk and Internal Systems team to resolve issues, and ensure accounts are provisioned. You will have excellent attention to detail, solve problems, and ability to multi task. Responsibilities: Order & Opportunity Review Review opportunities in Salesforce to ensure completeness and accuracy prior to downstream processing into NetSuite, validating pricing, product/SKU alignment, contract terms, and required fields. Review Annual Recurring Revenue (ARR) on opportunities to confirm accuracy and alignment with contract terms and pricing before deals proceed through the order-to-cash cycle. Create and monitor indirect sales orders via AWS Marketplace. Work with AWS Support to resolve any offer issues or errors. Identify, troubleshoot, and resolve data discrepancies or missing information before orders progress through the order-to-cash cycle. Serve as a quality checkpoint between deal closure and financial system entry, minimizing rework and downstream billing errors. Provisioning & Deal Documentation Review and approve provisioning details to ensure customer setup aligns with the terms of the executed agreement. Partner with Sales, Customer Success, and Deal Management to confirm that all required documentation (order forms, amendments, approvals, contracts) is complete, accurate, and obtained prior to processing. Act as a point of escalation for missing or inconsistent deal documentation, coordinating resolution across stakeholders. Systems & CPQ Administration Work closely with the internal systems/IT team to ensure Salesforce CPQ configurations (pricing rules, product bundles, approval workflows) remain accurate and up to date. Support testing and validation of CPQ and Salesforce-to-NetSuite integration changes, flagging issues that could impact order accuracy or revenue processing. Con

About the Job: As the Order Management Specialist, you will ensure that system inputs are complete and accurate, orders are processed in a timely manner, work with the Deal Desk and Internal Systems team to resolve issues, and ensure accounts are provisioned. You will have excellent attention to detail, solve problems, and ability to multi task. Responsibilities: Order & Opportunity Review Review opportunities in Salesforce to ensure completeness and accuracy prior to downstream processing into NetSuite, validating pricing, product/SKU alignment, contract terms, and required fields. Review Annual Recurring Revenue (ARR) on opportunities to confirm accuracy and alignment with contract terms and pricing before deals proceed through the order-to-cash cycle. Create and monitor indirect sales orders via AWS Marketplace. Work with AWS Support to resolve any offer issues or errors. Identify, troubleshoot, and resolve data discrepancies or missing information before orders progress through the order-to-cash cycle. Serve as a quality checkpoint between deal closure and financial system entry, minimizing rework and downstream billing errors. Provisioning & Deal Documentation Review and approve provisioning details to ensure customer setup aligns with the terms of the executed agreement. Partner with Sales, Customer Success, and Deal Management to confirm that all required documentation (order forms, amendments, approvals, contracts) is complete, accurate, and obtained prior to processing. Act as a point of escalation for missing or inconsistent deal documentation, coordinating resolution across stakeholders. Systems & CPQ Administration Work closely with the internal systems/IT team to ensure Salesforce CPQ configurations (pricing rules, product bundles, approval workflows) remain accurate and up to date. Support testing and validation of CPQ and Salesforce-to-NetSuite integration changes, flagging issues that could impact order accuracy or revenue processing. Con

Role Summary: GHX India seeks a trustworthy, highly motivated and detail-oriented individual. The Credentialing Analyst will be primarily responsible for analyzing and processing healthcare documents submitted by vendor representatives for registration. Responsibilities: Reports to Manager/Supervisor of Product Operations Maintain the appropriate quality score when processing documents Ability to process the appropriate number of documents per hour Ability to turn documents around in the appropriate turnaround time Process multiple document queues Effectively balance multiple tasks and roles Other responsibilities, as assigned. Skills & Abilities: Efficiency, organization, and effective time management Strong written skills Attention to detail Education and Experience- A bachelor’s degree is required Healthcare/Laboratory/Pathology experience preferred Experience in Data entry/ Document verification favored Experience in back-office support preferred Minimum 1+ years of experience in Data Quality Assurance, Data/Document Management, Healthcare domain, or other medical background. GHX: It's the way you do business in healthcare Global Healthcare Exchange (GHX) enables better patient care and billions in savings for the healthcare community by maximizing automation, efficiency and accuracy of business processes. GHX is a healthcare business and data automation company, empowering healthcare organizations to enable better patient care and maximize industry savings using our world class cloud-based supply chain technology exchange platform, solutions, analytics and services. We bring together healthcare providers and manufacturers and distributors in North America and Europe - who rely on smart, secure healthcare-focused technology and comprehensive data to automate their business processes and make more informed decisions. It is our passion and vision for a more operationally efficient healthcare supply chain, helping organizations reduce

Who We Are Addepar is a global data and AI platform empowering investment professionals to turn complex financial information into actionable intelligence. Addepar unifies portfolio, market and client data in a total portfolio view and delivers AI-powered insights within investment and client workflows. More than 1,400 firms in nearly 60 countries use Addepar to manage and advise on nearly $9 trillion in assets. Its open platform integrates with nearly 650 software, data and consulting partners to power end-to-end investment operations across firms of all sizes and complexity. Addepar supports clients worldwide with offices in New York City, Salt Lake City, London, Edinburgh, Pune, Dubai, Geneva, Singapore and São Paulo. The Role Addepar has just launched an Alternatives Product offering that gives Addepar clients the option to have their Private Funds data extracted, processed, validated, and ingested directly from Private Fund documents for a more automated end-to-end solution for handling Alternatives on the platform. This white-glove solution combines proprietary machine learning technology that automatically extracts data from Private Funds documents and human-in-loop review to validate any documents that fail to pass confidence and data quality checks. As a Senior Lead of the Alternatives Data Operations, you will lead the operations function that is responsible for the human-in-loop review of Private Funds documents, ensuring clients' Alternatives data is processed, validated, and available in Addepar in a timely manner. You will manage a team of Alternatives Data Ops analysts who review Private Fund statements, modify data that has been incorrectly extracted by our machine learning models, and reprocess data within SLAs. In this role, you'll own the operational strategy, team performance, and continuous improvement of the Alternatives Data Ops function—a critical component of Addepar's Alternatives offering success. Your responsibilities will include b

Who We Are Addepar is a global data and AI platform empowering investment professionals to turn complex financial information into actionable intelligence. Addepar unifies portfolio, market and client data in a total portfolio view and delivers AI-powered insights within investment and client workflows. More than 1,400 firms in nearly 60 countries use Addepar to manage and advise on nearly $9 trillion in assets. Its open platform integrates with nearly 650 software, data and consulting partners to power end-to-end investment operations across firms of all sizes and complexity. Addepar supports clients worldwide with offices in New York City, Salt Lake City, London, Edinburgh, Pune, Dubai, Geneva, Singapore and São Paulo. The Role Addepar has just launched an Alternatives Product offering that gives Addepar clients the option to have their Private Funds data extracted, processed, validated, and ingested directly from Private Fund documents for a more automated end-to-end solution for handling Alternatives on the platform. This white-glove solution combines proprietary machine learning technology that automatically extracts data from Private Funds documents and human-in-loop review to validate any documents that fail to pass confidence and data quality checks. As part of the broader Addepar Data organization, the Alternatives Data Ops team is responsible for the human-in-loop review of Private Funds documents, ensuring clients' Alternatives data is processed, validated, and available in Addepar in a timely manner. This role will include managing a team and reviewing Private Fund statements, modifying data that has been incorrectly extracted by our machine learning models, and reprocessing the data within SLAs. The Alternatives Data Ops team plays a critical role in the success of Addepar's Alternatives offering and requires daily communications with the Alternatives Product Team, Machine Learning Operations, clients, data providers (GPs and Fund Admins), and add

Position Overview: The Solutions Sales Specialist will play an instrumental role in driving revenue growth for Diligent for both existing and new accounts for specialized products, with focus on Compliance (Entity Management and Managed Services). This position will collaborate with core selling teams, customer success, and other internal stakeholders to support the sales process. This role requires a strong understanding of corporate governance, legal entity management, and compliance workflows, paired with consultative selling skills and the ability to translate complex requirements into easy to understand, scalable SaaS solutions. Key Responsibilities Help generate strategic, product-focused pipeline in partnership with core sales teams. Lead discovery to understand customer goals and quantify the value of outcome-based GRC and Entity Management solutions. Advise on solution fit and make recommendations on how to best solution, working closely with SMEs, Solution Engineers and Professional Services. Co-run deals alongside core teams from start to finish. Recommend and present pricing and packaging aligned to customer values and desired outcomes. Support negotiations, security reviews, and procurement processes. Travel to customer sites to conduct strategic, on-site workshops and executive sessions. Partner with post-sale and adoption teams to support implementation and ensure a successful, value-driven customer outcome. Required Experience/Skills: 5+ years of experience in a technical sales, consulting or practitioner role, with a proven track record of success. Ability to build and maintain strong relationships with stakeholders at all levels, both internally at Diligent and within customer organizations. Strong commitment to continuous lear

Here’s a summary of the role: If you enjoy solving customer problems, getting hands-on with web applications, and digging into issues rather than simply passing them on, this could be a great fit. As a Technical Support Specialist, you’ll support customers using a large SaaS platform, troubleshoot web-based application issues, communicate clearly over phone and email, identify and reproduce bugs, and work with escalation teams when deeper investigation is needed. Here’s a breakdown of what you’ll do: Provide responsive technical support to external customers and internal stakeholders through phone and email, helping them use the SaaS platform effectively. Troubleshoot web-based application issues by understanding the customer’s problem, checking relevant settings and history, testing possible solutions, and identifying whether an issue is reproducible. Investigate application errors and determine when an issue should be treated as a product bug and escalated to the appropriate Tier 2 or product team. Build strong customer relationships by explaining technical concepts clearly to non-technical users and keeping customers informed throughout the resolution process. Use product documentation, previous support cases, and available knowledge resources to investigate issues and continuously expand your product and technical knowledge. Work collaboratively with Tier 2, escalation, Customer Success, and other teams to resolve complex issues and provide a smooth customer experience. These are the essentials you’ll need to get an interview: 5+ years of relevant technical/customer support experience in a SaaS or product environment is strongly valued. Hands-on experience supporting web-based applications and troubleshooting issues for customers. Strong troubleshooting and problem-solving ability, including the ability to investigate, reproduce, test, and isolate application issues before escalating. Excellent written and verbal English communication skills, with confidence sup

You love turning real business problems into working AI solutions — and you’re not afraid to roll up your sleeves to ship them. In this role, you’ll lead Diligent’s internal AI Solutions function , a small, high-impact team that is embedding AI and GenA I into the systems thousands of colleagues use every day across Marketing, Sales, Customer Success, Finance, HR, Legal, and Product & Engineering. You’ll set the AI vision and roadmap for internal tools, architect solutions, and still build hands-on — from prototypes and reference implementations through to production-grade integrations . You’ll own how AI shows up inside ERP, CRM, BI and core IT platforms, and you’ll be accountable for making those solutions reliable, secure, compliant, and measurably valuable for the business. If you enjoy being a “player-coach” who can move seamlessly between executive conversations and deep technical reviews, this role gives you the scope, visibility, and impact to shape how a global SaaS leader uses AI to run smarter and faster. Here’s a breakdown of what you’ll do (not all of it, just the important stuff) Lead, coach, and grow a high-performing team of AI Solutions Architects and Engineers, setting clear goals and building the capabilities the business needs as AI demand scales. Define and own the strategy, vision, and roadmap for internal AI solutions, translating business priorities into a focused portfolio of AI and platform initiatives. Design and deliver end-to-end AI/GenAI solutions — from ideation and prototyping through production deployment, monitoring, and continuous improvement. Embed AI capabilities (such as RAG, copilots, agents, summarization, and classification) into core business applications including ERP, CRM, BI, and other enterprise systems in a robust, maintainable way. &nbsp

Scale GP (Scale Generative AI Platform) is an enterprise-grade Generative AI platform that provides APIs for knowledge retrieval, inference, evaluation, and more. We are looking for a strong engineer to join our team and help us build and scale our product in a fast-paced environment. The ideal candidate will have a strong understanding of software engineering principles and practices, as well as experience with large-scale distributed systems. You will be responsible for owning large new areas within our product, working across backend, frontend, and interacting with LLMs and ML models. You will solve hard engineering problems in scalability and reliability. You will: Own large new areas within our product Work across backend, frontend, and interacting with LLMs and ML models Deliver experiments at a high velocity and level of quality to engage our customers Work across the entire product lifecycle from conceptualization through production Be able, and willing, to multi-task and learn new technologies quickly Ideally you'd have: 7+ years of full-time engineering experience, post-graduation Experience scaling products at hyper growth startups Experience tinkering with or productizing LLMs, vector databases, and the other latest AI technologies Proficient in Python or Javascript/Typescript, and SQL Experience with Kubernetes Experience with major cloud providers (AWS, Azure, GCP) Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval

Scale AI sits at the forefront of enabling machine learning for advanced robotics systems. As an Operations Program Manager focused on data creation for robotics models, you will design and execute the solutions, tools, and processes that power high-quality training data at scale. You’ll ensure precise, timely delivery of datasets that drive perception, manipulation, and autonomous decision-making in robotic platforms. With rapid growth, new customer onboarding, and continual product innovation, we face both strategic questions and hands-on operational challenges—your contributions will be key to solving them. You will be part of a highly motivated team of operators and collaborators who will ensure steady delivery and customer satisfaction. You are relentless in driving stellar results, running pilots, tests, and experiments, then handing over new designs to a team of skilled operators. The blend of operations, process improvement, and cross-functional leadership make this a unique and exciting role that will provide an opportunity to work with multiple teams (e.g., Engineering, Marketing, Operations, Analytics, and several others) across the company and around the globe. You will: Drive some of our most critical operational processes Improve existing processes and tools globally Collaborate with stakeholders to improve processes for new and existing customers Create an effective feedback loop between the frontline, product, strategy, and customers Build, maintain, and regularly communicate detailed reporting for other leaders across the company who will use your team's data to inform their own operations and strategy Ideally you'd have: Industry experience in supply chain, finance planning, in an operational role and/or in a top tier consulting firm An undergraduate degree from a top university in an analytics heavy major (e.g., Engineering or Economics) and/or a graduate degree from a top university in Engineering, Economics, or Business Experience leading day to

Director of Engineering, Physical AI Role Overview The Director of Engineering will report to the General Manager of Physical AI, and will be responsible for leading a multi-disciplinary engineering organization. In this senior leadership role, you will own the execution of the Physical AI Data Engine — the platform powering the next generation of Physical AI/Embodied AI. You will collaborate closely with Operations and GTM to guide product direction and help solve the data bottleneck that stands between today's robotics research and real-world deployment. This role requires significant ownership in a fast-paced environment and you will motivate internal teams to set the pace for business growth. Travel will come into play. Key Responsibilities: Set and drive the technical vision across data collection infrastructure, teleoperation systems, ML training pipelines, model evaluation frameworks, annotation tooling, and research Lead a multidisciplinary engineering organization—spanning engineering managers, software engineers, ML engineers, and ML research scientists—while designing the organizational structure, talent strategy, and culture required to scale rapidly without compromising on quality or strategic alignment Maintain exceptional technical and operational excellence by deeply understanding team deliverables, asking incisive questions, identifying slipping standards early, and knowing precisely when to step in Drive cross-functional alignment across Engineering, Operations, and GTM on platform architecture, release processes, and shared priorities Collaborate with researchers and clients to architect and deliver scalable, production-grade data infrastructure tailored for complex robotics workloads Required Qualifications: Bachelor's degree in Engineering, Robotics, Computer Science, or a related technical field 8+ years of engineering experience in fast-paced environments, including 4+ years direct people management demonstrated history of recruiting, mentorin

Role Overview Scale’s EMEA GTM team is scaling rapidly across complex, high-stakes government markets. Our commercial motion spans country leads, account executives, strategists, solutions engineering, engagement management, partnerships, delivery, finance, legal, and product - all operating in fast-moving, region-specific environments. We are hiring a Sales Enablement Lead to build the enablement engine for EMEA GTM. This role will report to the Head of Commercial Strategy and Operations and will be responsible for ensuring every seller, strategist, and field partner has the knowledge, materials, onboarding, operating rhythms, and deal support needed to execute with speed and quality. This is a hands-on builder role. You will create the infrastructure that helps the team ramp faster, sell more consistently, reuse what works, and translate a complex AI product and public-sector GTM motion into practical field execution. What You’ll Do Build and own EMEA GTM onboarding Design and run a structured onboarding programme for new EMEA GTM hires across sales, strategy, solutions, and adjacent commercial roles. Create role-specific ramp plans, learning paths, certification moments, manager check-ins, and practical field exercises. Partner with Commercial Operations, People, Recruiting, and GTM and EPD leadership to ensure new hires understand Scale’s products, market context, customers, sales process, operating model, and expectations. Own the EMEA GTM knowledge base Build and maintain a centralised source of truth for EMEA GTM materials, including pitch decks, account planning templates, customer FAQs, qualification guides, use-case libraries, demos, proposal examples, talk tracks, win/loss learnings, and market-specific collateral. Keep materials current, easy to find, and clearly organised by market, role, product area, customer segment, and sales stage. Partner with central Sales Enablement, Product Marketing, Solutions Engineering, Legal, Finance, Delivery, and Pr