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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 1,500 firms in 60 countries use Addepar to manage and advise on nearly $10 trillion in assets. Its open platform integrates with 650 software, data and consulting partners to power end-to-end investment operations across firms of all sizes and levels of complexity. Addepar supports clients worldwide with offices in New York City, Salt Lake City, São Paulo, London, Edinburgh, Geneva, Warsaw, Dubai, Pune and Singapore. The Role A Data Solutions Architect is responsible for integrating clients’ portfolio data into Addepar and consulting clients on their most complex data challenges. As a Data Solutions Architect, you will be responsible for executing on client deliverables in addition to continuous internal tooling and process improvements to help scale our growing business. The ideal candidate will have exceptional analytical and communication skills, thrive in a fast-paced environment, and bring a solutions-oriented approach to all problems they encounter. Applicants must be legally authorized to work in the United States for any employer without requiring current or future visa sponsorship (for example, employment-based visas such as H-1B , F-1 /OPT, or similar), and must be authorized to begin work in the U.S. on their first day of employment. What You’ll Do Translate unique client requirements into flexible and scalable data solutions Lead data conversion projects with Addepar clients to ETL historical portfolio data from their legacy system into Addepar Prioritize and context-switch effectively to complete simultaneous projects, seeing each through to the finish line Identify and drive opportunities to improve our current processes and tools

About Appspace: At Appspace, we’re passionate about creating better work experiences for people everywhere, and we’re looking for people that feel the same way. Our global office locations and flexible work culture help you work wherever and however you’re at your best. Plus, we take the time to help you enjoy your work, build lasting connections, and grow your role. Join the Appspace team and be a part of a culture that’s helping people everywhere love where they work. Your Role as a Revenue Operations Manager: The Revenue Operations Manager is a critical role responsible for building, scaling, and optimizing the operational engine that powers Appspace's go-to-market (GTM) organization. Reporting directly to the Chief Sales Officer, this leader will partner closely with Sales, Marketing, Customer Success, and Finance to drive revenue predictability, operational excellence, and strategic alignment across the full customer lifecycle. This is a high-impact, highly visible role for an operator who thrives at the intersection of strategy, data, process, and technology — and who can translate analytical insight into actionable outcomes. A Day in the Life of a Revenue Operations Manager: GTM Strategy & Revenue Planning Own the annual and quarterly revenue planning process, including quota setting, territory design, and headcount modeling in partnership with Sales leadership and Finance. Develop and maintain a single source of truth for GTM performance, pipeline health, and revenue forecasting. Drive the Appspace GTM operating cadence — including QBRs, pipeline reviews, and forecast calls — ensuring rigor, consistency, and accountability. Sales Operations Lead and develop a high-performing Revenue Operations team spanning sales ops, marketing ops, CS ops, and data/analytics. Design and enforce consistent sales processes, methodologies, and rules of engagement across all GTM segments (SMB, Mid-Market, Enterprise). Identify and remove operational friction across the sale

About the team OpenAI’s mission is to build safe artificial general intelligence (AGI) which benefits all of humanity. This long-term undertaking brings the world’s best scientists, engineers, and business professionals into one lab together to accomplish this. In pursuit of this mission, our Go To Market (GTM) team is responsible for helping customers learn how to leverage and deploy our highly capable AI products across their business. The team is made of Sales, Solutions, Support, Marketing, and Partnership professionals that work together to create valuable solutions that will help bring AI to as many users as possible. About the role As an Account Director focused on Healthcare, you will own executive-level relationships with leading healthcare organizations, including integrated delivery networks (IDNs), health systems, academic medical centers, health insurers, digital health companies, and healthcare technology providers. You’ll help these organizations safely and effectively deploy OpenAI’s technology to improve clinical and administrative workflows, enhance patient and provider experiences, automate operational processes, and accelerate enterprise-wide AI adoption. This role blends enterprise sales expertise, technical depth, business acumen, and relationship-driven selling. You will collaborate closely with researchers, engineers, and healthcare-focused solution strategists to design secure, compliant, and high-impact AI deployments. This role is based in San Francisco. We use a hybrid work model of three days in the office per week and offer relocation assistance to new employees. In this role, you’ll: Manage a focused portfolio of large healthcare provider, payer, and healthcare technology accounts, developing long-term strategic account plans. Lead complex, multi-stakeholder sales cycles spanning clinical, operational, IT, digital transformation, and executive leadership teams. Partner with Solutions and Research Engineering to design pilots that demon

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 1,500 firms in 60 countries use Addepar to manage and advise on nearly $10 trillion in assets. Its open platform integrates with 650 software, data and consulting partners to power end-to-end investment operations across firms of all sizes and levels of complexity. Addepar supports clients worldwide with offices in New York City, Salt Lake City, São Paulo, London, Edinburgh, Geneva, Warsaw, Dubai, Pune and Singapore. The Role A Portfolio Analytics Architect is responsible for leading the data validation process end-to-end with clients for data conversion projects. The ideal candidate will have a strong understanding of financial portfolio data, a motivation to work on data problems, outstanding communication skills and the ability to deliver results in adherence with project deadlines while meeting high quality standards. They are passionate about understanding our clients needs, take a hands-on approach to solving problems, work collaboratively with internal teams and take ownership of our clients success. Applicants must be legally authorized to work in the United States for any employer without requiring current or future visa sponsorship (for example, employment-based visas such as H-1B , F-1 /OPT, or similar), and must be authorized to begin work in the U.S. on their first day of employment. What You’ll Do Lead the data validation process end-to-end with the client and internal projects teams Develop scalable data analytics processes for validation in Databricks Write custom Python logic to detect large-scale data anomalies and automate remediation Facilitate recurring client sessions to track progress and steer the data validation project throug

We are seeking an experienced Trading Operations Specialist to assist the company in executing trading strategies and ensuring the effective risk management of trading activities. This role involves overseeing pre-trade, live, and post-trade monitoring, stress testing algorithms, implementing kill functionality, monitoring market abuse, and raising red flags to senior management and compliance as necessary What You’ll Be Doing: Have access to and oversee the implementation of the kill switch to manage and mitigate trading risks promptly Lead a first-line team responsible for owning and managing trading risks, including stress testing algorithms and monitoring trade executions Review and approve new algorithms, parameters, and risk limits before they go live Monitor trades in real-time and review open positions to make informed decisions and adjustments as needed Raise red flags to the CEO, compliance team, and relevant stakeholders for immediate action and resolution Liaise with regulators on compliance matters where necessary Collaborate with the trading desk to ensure smooth and efficient trading operations while adhering to risk management protocols What We Look For In You: Bachelor's degree in Finance, Economics, Mathematics, or a related field 5+ years of proven experience in trading operations, risk management, and market surveillance within the financial industry Strong understanding of trading strategies, algorithms, risk metrics, and market dynamics Excellent analytical skills and the ability to assess and manage trading risks in real-time Proficiency in using trading platforms, automated monitoring tools, and risk management software Effective communication and decision-making skills to lead and collaborate Why Should You Join Our Team? Join an international team of highly qualified professionals Cutting-edge hardware and technology Onsite work at our Malta office (relocation to Malta is required) 40 paid days off Competitive salary

Celonis is the trusted platform to industrialize Enterprise AI. At our core is the Celonis Context Model — which combines process data, business knowledge, and intelligence into a living digital twin of the enterprise that AI can actually understand, turning AI's operational blind spots into operational clarity. World's leading companies trust Celonis and its global ecosystem of partners to make their AI agents, people, systems, and processes work together, achieving transformational outcomes. We believe there's a massive opportunity to unlock global productivity and sustainability by giving AI the context to understand how every business process really works. Join our mission to make processes work for people, companies, and the planet. The Team: The UK Value Engineering team is responsible for our largest Fortune500 customers and owns their transformation journey by working on the very frontier of what’s possible with Data and AI. Partnering closely with the Sales team, Value Engineering is responsible for ensuring that the Celonis data & AI platform is deployed to tackle the most strategic business challenges, fits into the right place in our customers’ technology stack and most importantly generates strong ROI through deep and broad deployments. The Role: As a Senior Value Engineer you are spearheading our mission of data-driven business transformation with our customers by owning their end-to-end value journey. You are their trusted technology & business advisor, helping organisations achieve their strategic goals and realize significant value using the Celonis Process Intelligence Platform. A Value Engineer has full responsibility for the end-to-end value journey of our customers – landing, expanding, adopting and renewing. Responsibilities include translating customers’ objectives into value assessments or proof-of-value projects, helping organisations understand where Celonis fits into their IT landscape and AI strategy, building specifi

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. As a Principal Product Quality Engineer, you are responsible for ensuring the stability and reliability of semiconductor manufacturing processes. This role involves defining standard operating procedures, applying statistical tools, and supporting audits to maintain high product quality standards. Additionally, the Principal Product Quality Engineer is a strategic leader responsible for architecting and driving global quality frameworks across multiple manufacturing sites. This role uses advanced engineering expertise, data analytics, and multi-functional collaboration to ensure process stability, product reliability, and continuous improvement at scale. You will influence global strategy and drive innovation. Responsibilities: Lead multi-functional and cross-site teams to resolve complex quality issues, driving global alignment and continuous improvement. Develop and implement global quality management systems in partnership with other Micron manufacturing facilities. Support the NPI qualification, PG/PTS yield improvement, Burn and module dpm reduction, defense line 4 enhancement and shift-left improvement Cover critical SWRs and RAR risk assessment, Fab Excursion-affected materials and RMA management. Monitor and report on critical quality metrics, including DPM, yield variation, and reliability performance. Supervise Wafer Level Reliability (WLR) and Wafer Level Burn In (WLBI)

We believe that communication belongs to everyone. Our mission is to democratize phone service and remove barriers that prevent people from staying connected. As TextNow continues to evolve, Artificial Intelligence is becoming a foundational capability across our products, operations, and employee experience. Our AI Labs team is responsible for identifying, validating, and scaling AI-powered solutions that create measurable impact for customers and employees. We're looking for a Senior Software Developer who can help transform AI opportunities into production-ready systems, partner with stakeholders across the business, and accelerate TextNow's adoption of AI technologies. What You'll Do Build AI-Powered Solutions Design, develop, and deploy AI-enabled applications, services, and automations Build internal tools and intelligent workflows using LLMs, AI agents, and orchestration frameworks Evaluate emerging AI technologies and rapidly prototype new concepts Transform proofs-of-concept into scalable production systems Lead Technical Delivery Drive architecture and implementation decisions for AI initiatives Define patterns and standards for AI application development Balance experimentation speed with security, governance, and operational excellence Ensure solutions are reliable, observable, maintainable, and cost-effective Enable the Organization Partner with business stakeholders to identify high-value AI opportunities Translate business problems into technical solutions Consult with teams across Product, Engineering, Customer Care, Trust & Safety, Marketing, Finance, and Operations Help teams adopt AI capabilities and best practices Build Internal AI Capabilities Develop reusable AI services, frameworks, and components Create integrations wi

We believe that communication belongs to everyone. Our mission is to democratize phone service and remove barriers that prevent people from staying connected. As TextNow continues to evolve, Artificial Intelligence is becoming a foundational capability across our products, operations, and employee experience. Our AI Labs team is responsible for identifying, validating, and scaling AI-powered solutions that create measurable impact for customers and employees. We're looking for a Senior Software Developer who can help transform AI opportunities into production-ready systems, partner with stakeholders across the business, and accelerate TextNow's adoption of AI technologies. What You'll Do Build AI-Powered Solutions Design, develop, and deploy AI-enabled applications, services, and automations Build internal tools and intelligent workflows using LLMs, AI agents, and orchestration frameworks Evaluate emerging AI technologies and rapidly prototype new concepts Transform proofs-of-concept into scalable production systems Lead Technical Delivery Drive architecture and implementation decisions for AI initiatives Define patterns and standards for AI application development Balance experimentation speed with security, governance, and operational excellence Ensure solutions are reliable, observable, maintainable, and cost-effective Enable the Organization Partner with business stakeholders to identify high-value AI opportunities Translate business problems into technical solutions Consult with teams across Product, Engineering, Customer Care, Trust & Safety, Marketing, Finance, and Operations Help teams adopt AI capabilities and best practices Build Internal AI Capabilities Develop reusable AI services, frameworks, and components Create integrations wi

About Sentry Software runs the world and the pace is faster than ever. Sentry helps developers fix errors and performance issues before users notice, so teams can spend less time firefighting and more time building. Trusted by 200,000+ organizations, Sentry is today’s application monitoring standard and our team is building its AI-native future. About the role The Events Analytics Platform (EAP) team is responsible for the infrastructure that powers all of Sentry's time-series data and searching capabilities across billions of events with sub-second latency. We started this initiative by building Snuba, the primary storage and query service for Sentry's event data powered by ClickHouse, and we are now focused on unlocking deeper visibility and reporting across the terabytes of event data our users generate. As a Senior Software Engineer, you will lead efforts to push the boundaries of data visibility at Sentry. You will do this by expanding the capabilities of our search infrastructure, building new capabilities on top of our state-of-the-art storage layer and increasing the performance and integrity of Sentry’s core data services. You will also help shape Infrastructure's technical direction at Sentry and collaborate with Product and other Engineering teams to turn that vision into a reality. If you want to solve the hard problems that come with scaling event data into the petabyte range, this could be the job for you. In this role you will: Expand EAP's ability to deliver data at world-class speed and reliability. Architect and automate services and systems to scale reliably under growing demand. Make architectural trade-offs that balance product requirements with engineering constraints. Maintain and grow the team's code quality initiatives by regularly reviewing code and contributing to design decisions. Lead design and discussions around deliverables the team is working towards. Improve the maintainability and developer experience of the codebases EAP owns. Exa

About Sentry Software runs the world and the pace is faster than ever. Sentry helps developers fix errors and performance issues before users notice, so teams can spend less time firefighting and more time building. Trusted by 200,000+ organizations, Sentry is today’s application monitoring standard and our team is building its AI-native future. About the role The Events Analytics Platform (EAP) team is responsible for the infrastructure that powers all of Sentry's time-series data and searching capabilities across billions of events with sub-second latency. We started this initiative by building Snuba, the primary storage and query service for Sentry's event data powered by ClickHouse, and we are now focused on unlocking deeper visibility and reporting across the terabytes of event data our users generate. As a Senior Software Engineer, you will lead efforts to push the boundaries of data visibility at Sentry. You will do this by expanding the capabilities of our search infrastructure, building new capabilities on top of our state-of-the-art storage layer and increasing the performance and integrity of Sentry’s core data services. You will also help shape Infrastructure's technical direction at Sentry and collaborate with Product and other Engineering teams to turn that vision into a reality. If you want to solve the hard problems that come with scaling event data into the petabyte range, this could be the job for you. In this role you will: Expand EAP's ability to deliver data at world-class speed and reliability. Architect and automate services and systems to scale reliably under growing demand. Make architectural trade-offs that balance product requirements with engineering constraints. Maintain and grow the team's code quality initiatives by regularly reviewing code and contributing to design decisions. Lead design and discussions around deliverables the team is working towards. Improve the maintainability and developer experience of the codebases EAP owns. Exa

In 2026, we launched Computer, the defining product for the new era of agentic AI. Millions of people now use Perplexity to transform knowledge into action, and the Growth team owns the product loops that help them discover, adopt, and build lasting habits around our most important AI experiences. As a growth engineer at Perplexity, you'll work across the full funnel — activation, onboarding, SEO, lifecycle, conversion, retention, and paid upgrade moments — while also building the applied AI systems that make those experiences smarter. Engineers are responsible for end-to-end projects from training and productionizing classifiers to identify high-intent users, personalizing value discovery, shipping contextual onboarding experiments, or wiring new AI capabilities into measurable adoption and revenue outcomes. Growth at Perplexity goes beyond incremental funnel optimization. The team sits close to the core product - we translate behavioral signals, model outputs, and fast experimentation into durable product surfaces used across consumer and enterprise workflows. You'll move fast, run many experiments in parallel, and own the outcome end-to-end. Tech Stack: TypeScript | Next.js | React | Python | PostgreSQL | Eppo | AWS Why Perplexity is different Craftsmanship. We build high quality, tasteful products targeting both the AI native and AI curious. Ownership. You identify the problem, design the solution and ship it. Entrepreneurship. We think like founders, act with urgency, and hustle to deliver for each other and our users. Scholarship. Work among highly talented peers, pursuing knowledge and truth, upleveling ourselves, our teams, and our products. Partnership. We amplify each others' strengths, break down silos, and give selflessly to help our colleagues deliver excellence. What you'll do Design, build, and own growth surfaces across the full funnel — activation, onboarding, SEO, lifecycle, conversion, retention, and paid upgrade moments — for Computer and every P

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. As the Engineering Manager for the Lakehouse Foundation team, you will lead a group of engineers responsible for the foundational data layer that all of Lyft's data systems and emerging AI workloads are built on. The team owns catalog and metadata management, table formats and storage, and the access patterns and gateways through which other engineering teams interact with Lyft's data. As Lyft converges on a unified lakehouse architecture, this team builds and operates the single source of truth that powers analytics, machine learning, experimentation, and every business decision made from data. You will play a key role in shaping the team's technical direction, partnering with peer Data Platform teams on a multi-year platform evolution, and developing engineers who operate with autonomy on systems of significant scale and complexity. Lyft's Infrastructure teams build the foundational systems that the rest of engineering depends on to move fast, ship reliably, and scale efficiently. These are high-leverage roles where the work you and your team do has a multiplicative effect across the company. We're looking for experienced leaders who can balance the discipline of operating critical infrastructure with the curiosity to keep evolving how Lyft builds. Engineering at Lyft is a place where managers and engineers operate with high ownership and strong technical judgment. Our engineers expect their managers to be honest, available, and focused on the work that matters: developing their teams, removing obstacles, and giving people the support they need to do their best work. We build teams that are inclusive, technically rigorous, and have a strong sense of ownership for what they build. Responsibilities: Lead a team responsible for Lyft's foundational data layer, including catalog and metadata management,

Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! We are looking for a strategic, data-driven Voice of the Customer (VOC) Program Manager to build and run a company-wide VOC program at Figma. Sitting within the Product Support org, this role is responsible for pulling insights from across Figma's customer-facing surfaces, Support, Sales, NPS, community, and more, and translating them into fast, actionable signals for Product, Engineering, and Support. This isn't just a reporting role: you'll own the full insight loop, from surfacing and prioritizing the biggest customer pain points to tracking whether they're being addressed and bringing wins back to customer facing orgs and our product partners. You'll work cross-functionally across Support, Sales, Research, Marketing and Product, and leverage AI to move faster than ever. It's a rare opportunity to build something that matters at company scale. This is a full time role that can be held from one of our US hubs or remotely in the United States. What you’ll do at Figma: Own the rhythm of VOC reporting and define the mechanisms that feed into the program, including launch insight reporting and ensuring insights are visible, shareable, and easy to act on across the org Surface and prioritize the biggest customer pain points, align with Product and Engineering on roadmap prioritization, and advocate for customer needs – bringing wins back to Support and Sales to demonstrate program impact Monitor and report on customer sentiment from pre through post-product launches, providing recommendations acros

Celonis is the trusted platform to industrialize Enterprise AI. At our core is the Celonis Context Model — which combines process data, business knowledge, and intelligence into a living digital twin of the enterprise that AI can actually understand, turning AI's operational blind spots into operational clarity. World's leading companies trust Celonis and its global ecosystem of partners to make their AI agents, people, systems, and processes work together, achieving transformational outcomes. We believe there's a massive opportunity to unlock global productivity and sustainability by giving AI the context to understand how every business process really works. Join our mission to make processes work for people, companies, and the planet. The Team: Value Engineering is responsible for our largest Fortune 500 customers and owns their transformation journey by working on the very frontier of what’s possible with data and AI on the Celonis Platform. Partnering closely with the Sales team, Value Engineering is responsible for ensuring that the Celonis Platform is deployed to tackle the most strategic business challenges, fits into the right place in our customers’ technology stack and most importantly generates strong ROI through deep and broad deployments. The Role: As a Senior Value Engineer, you will spearhead AI and data-driven business transformation within the Public sector by contributing to your customer’s end-to-end value journey using the Celonis Context Model. Working alongside Lead and Principal VEs, you will combine technical execution with consulting and project management. As an AI-fluent operator, your core mandate is to orchestrate complex roadmaps and execute targeted transformation initiatives that improve how these businesses operate across their core ecosystems. The work you’ll do: Value Selling & Realization: Uncover the real issues by peeling back layers of organizational complexity. Own the Outcome from first discovery through realized