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Location: United Kingdom Workplace: Remote ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual team offsite: Each year, we bring your entire team together in a new location - past offsites have included Croatia, Italy and Cancún - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. ABOUT THE ROLE We're looking for a Finance Data Scientist to join our central Data team as the first dedicated analytics partner to Finance. You'll turn billing, revenue and forecasting data into audit-ready numbers, and the analysis that shapes pricing and planning decisions as we scale towards IPO. - Own finance-facing analysis: revenue and ARR reconciliation, cohort and retention economics, pricing and packaging experiments. - Partner with Analytics Engineering on the certified finance KPI layer (ARR, billing, revenue), and be the first to catch when a number is quietly wrong. - Build forecasting and scenario models that FP&A uses directly in planning and board reporting. - Translate ambiguous finance questions from FP&A, RevOps and leadership into clear, reusable analysis. REQUIREMENTS Demonstrated experience as a data scientist or analyst embedded with a Finance / FP&A function, ideally at a growth-stage or pre-IPO company. - Strong SQL and Python, with comfort reconciling data across Stripe, Salesforce and a dbt-modelled warehouse. - Finance fluency: ARR, billing, revenue recognition, cohort economics — you can speak FP&A's language. - Rigour around data quality: you reconcile by default and can explain a variance, not just report it. - Strong stakeholder management with Finance leadership, and the ability to push back on ambiguous asks. BONUS - Experience preparing finance data for audit, SOX or IPO readiness. - Experience with pricing / packaging experimentation or revenue forecasting at a subscription or usage-based business. - Experience with dbt or a modern warehouse (BigQuery), partnering directly with analytics engineers. GROWTH POTENTIAL We believe in hiring the best talent in the world to make an impact in the right role at the right time. At ElevenLabs, strong performance creates opportunities for growth. Here are some of the career paths you can expect after excelling in this role: - Grow into a Lead Finance Data Scientist role as the central Data team scales. - Expand scope into broader strategic finance or RevOps analytics. - Path into a Head of FP&A Analytics or data leadership track. LOCATION This role is remote-first, so it can be executed from anywhere in Europe or the US East Coast, with the ability to operate in CET / ET timezones required. If you prefer, you can work from our offices in London, Warsaw, Dublin or New York. #LI-Remote We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.

Location: Dublin, Ireland About Us Fanatics is a leading global sports platform redefining how fans connect with the teams, players and moments they love. Our businesses — Fanatics Commerce, Fanatics Collectibles, Fanatics Betting & Gaming, Fanatics Events, Fanatics Advertising, Fanatics Markets and Fanatics Studios — maximize the presence and reach for hundreds of partners globally and create a one-stop experience that allows fans to buy, bet, collect, and earn, while engaging with sports in deeper, more immersive ways. This includes licensed fan gear and lifestyle products, sportsbook and iGaming, physical and digital trading cards, live events, premium sports entertainment content, credit card offerings and more. Together, they form a powerful, integrated ecosystem — connected by the Fanatics ONE loyalty program and FanCash, the currency of sport — delivering personalized experiences to over 100 million fans worldwide. Fanatics holds partnerships with over 900 sports properties, from professional leagues and players’ associations to teams, colleges and retail partners; over 7,000 athletes and celebrities; and over 2,000 retail locations, including all Lids stores. Backed by a team of more than 22,000 employees, Fanatics is committed to relentlessly enhancing the fan experience. About the Team Launched in 2021, Fanatics Betting and Gaming is the online and retail sports betting subsidiary of Fanatics, a global digital sports platform. The Fanatics Sportsbook is available to 95% of the addressable online sports bettor market in the U.S. Fanatics Casino is currently available online in Michigan, New Jersey, Pennsylvania and West Virginia. Fanatics Betting and Gaming operates twenty-two retail sports betting locations, including the only sportsbook inside an NFL stadium at Northwest Stadium. Fanatics Betting and Gaming is headquartered in New York with offices in Denver, Leeds and Dublin. We are seeking a Data Scientist I to join our growing Data Science organization on our newly formed Decision Science team. The role reports into the Decision Science Manager and will focus on creating insight to drive the growth of the business, partnering closely with senior commercial stakeholders and their teams. Supporting commercial and analytics stakeholders with high level Sportsbook & Casino strategy will be a top priority for this Data Scientist, as well as providing ongoing analysis and recommendations to stakeholders. Responsibilities Develop a deep understanding of the iGaming ecosystem, encompassing both Sportsbook and Casino products, operations, and player behavior. Build strong relationships with stakeholders across both Sports and Casino business units, serving as a key technical contributor to driving total commercial performance. Collaborate with Data Scientists and Analysts to implement and refine scalable solutions for complex iGaming business problems. Contribute to the development, deployment, and iterative improvement of automated personalization and promotion engines across the iGaming suite. Build and maintain sophisticated Lifetime Value (LTV) models to improve player segmentation and marketing efficiency. Remain current on technology, machine learning trends, and competitive shifts within the global sports betting and gaming industry. Experience and Skills A minimum of 2+ years proven experience in a data science or advanced analytics role. Degree in a quantitative field, e.g., Mathematics, Physics, Statistics, Engineering, or Computer Science, Economics. Strong SQL proficiency and strong proficiency in Python, with experience building and validating machine learning models. Strong understanding of statistics concepts such as regression, clustering, and A/B testing in high-growth environments. Expertise in experimental design and causal inference, including A/B/n testing, quasi-experiments, and uplift modeling to determine true incremental value. Demonstrated ability to partner with stakeholders, earning trust through data-driven insights and clear communication. Outcome-oriented and data-driven; comfortable navigating fast-paced, high-growth environments. Preferred but not required Experience experimenting with Generative AI solutions (e.g., LLM-based analysis, automation, or insight generation) and identifying opportunities to apply them within a commercial analytics environment. Previous experience in iGaming (Sportsbook or Casino), or previous experience with Customer Lifetime Value models is a significant plus. Depending on the role, your interview and onboarding experience may include in-person components, such as onsite interviews or Launching into Better: LIVE—a multi-day cultural immersion in New York City for full-time, non-seasonal hires. These sessions are designed to build connection and bring our culture to life, though specific travel and participation requirements will be confirmed based on your role and location. Your recruiter will provide clear guidance at each stage of the process. For information about our benefits, please visit https://benefitsatfanatics.com/ Ranges will change based on country and state of residence, which are reflected in Geographical Zones defined by Fanatics Betting and Gaming. The range incorporates all of our Geographical Compensation Zones and is subject to change as the Zone associated with the actual offer is confirmed. In addition to the base and bonus, full-time employment, and more. For information about our benefits, please visit https://benefitsatfanatics.com/ Salary Range €47.300 — €59.400 EUR By submitting your application, you agree to our terms of service and acknowledge you have read our Candidate Privacy Policy. Fanatics will never ask candidates for money, banking information, or other sensitive personal information as part of the interview process. If you receive a suspicious message claiming to be from Fanatics recruiting, please do not respond and report it here .

Location: San Francisco; New York City Workplace: Hybrid Perplexity is AI for people who expect more. On the data team, that means building the systems that make our data reliable, understandable, and usable by both humans and AI. We're looking for an analytics engineer or data engineer who wants to build the foundation for an AI-native data organization. You'll design core data models, pipelines, semantic layers, data quality systems, governance practices, and warehouse workflows that power the entire company: helping teams make strategic decisions, operate the business, and move faster with trusted data. You'll also make sure those systems are secure, privacy-aware, and legible to AI agents, data scientists, and the rest of the company. This role is for someone who can operate at the boundary of analytics engineering, data engineering, data governance, and internal product. You care about dimensional modeling, dbt standards, cost-aware warehouse design, access controls, privacy, and the details that make data trustworthy. You also believe AI should make the data stack faster, easier to maintain, and more accessible across the company without weakening security or governance. WHAT YOU'LL DO - Build the core data foundation - design and maintain high-quality data models, marts, and pipelines that make analysis fast, reliable, and reusable. - Manage the data warehouse - help own warehouse architecture, environments, permissions, performance, cost, data lifecycle, and operational hygiene so the platform scales cleanly. - Make the warehouse AI-readable - own the documentation, semantic context, metadata, lineage, and retrieval patterns that AI systems depend on to understand and query Perplexity's data correctly. - Own data modeling standards - define and champion dbt patterns, dimensional modeling practices, naming conventions, tests, and review processes. - Lead data governance practices - define standards for access, ownership, lineage, documentation, retention, quality, and sensitive data handling across the analytical warehouse. - Build with security and privacy in mind - partner with engineering, security, legal, and finance where needed to ensure data access, sharing, and AI-enabled workflows are appropriate and controlled. - Automate data quality and maintenance - build AI-assisted workflows that detect issues, explain root causes, suggest fixes, generate tests, and reduce manual firefighting. - Improve data team productivity - automate repetitive workflows, improve tooling, streamline development, and make it easier for data scientists and stakeholders to answer questions. - Partner across the company - work closely with data scientists, engineering, product, finance, and GTM teams to translate analytical needs into durable data systems. - Shape tooling decisions - evaluate build-versus-buy tradeoffs, manage vendor relationships when needed, and choose tools that scale with the team. WHAT WE'RE LOOKING FOR - 6+ years of experience as an analytics engineer, data engineer, data scientist, or closely related role. - Deep SQL expertise - you can reason about correctness, performance, joins, grain, and edge cases in complex warehouse queries. - Strong data modeling experience - you've worked hands-on with dbt (or a similar transformation framework) in production, and you understand dimensional modeling, data contracts, testing, and how analytical schemas should evolve. - Pipeline ownership - you've built, maintained, debugged, and improved production data pipelines. - Warehouse management experience - you've worked with warehouse administration, access patterns, permissions, performance tuning, cost management, or operational ownership. - Governance mindset - you think clearly about data ownership, access controls, privacy, retention, lineage, auditability, and the risks of making data too easy to access. - AI-native working style - you already use AI to speed up development, documentation, QA, exploration, and repetitive workflow automation. - Stakeholder fluency - you know how to turn messy analytical requirements into trusted models, metrics, and reusable data assets. - Autonomy and execution - you can take projects from ambiguous problem to production-quality system with minimal oversight. - Operational judgment - you care about reliability, governance, security, cost, and long-term maintainability. BONUS - Snowflake administration, optimization, cost management, or warehouse performance tuning. - Experience with RBAC, PII handling, data classification, retention policies, audit workflows, or privacy/security reviews. - Experience with Databricks or other modern data infrastructure. - Experience building semantic layers, metrics layers, metadata systems, or data catalogs. - Python experience for data tooling, automation, orchestration, or quality checks. - Previous experience as an early analytics engineer or data engineer at a high-growth startup. WHY THIS ROLE - Own the foundation - your work will determine how fast and confidently the company can use data. - Build for humans and AI - the next generation of data infrastructure needs to be understandable by agents as well as analysts. - High leverage - better models, pipelines, and tools multiply every data scientist and every stakeholder who depends on data. - Small team, broad scope - you'll have room to define standards, choose tools, and ship systems that become company-wide defaults.

Location: San Francisco; New York City Workplace: Hybrid Perplexity is AI for people who expect more. On the data team, that means building the systems that make our data reliable, understandable, and usable by both humans and AI. We're looking for an analytics engineer or data engineer who wants to build the foundation for an AI-native data organization. You'll design core data models, pipelines, semantic layers, data quality systems, governance practices, and warehouse workflows that power the entire company: helping teams make strategic decisions, operate the business, and move faster with trusted data. You'll also make sure those systems are secure, privacy-aware, and legible to AI agents, data scientists, and the rest of the company. This role is for someone who can operate at the boundary of analytics engineering, data engineering, data governance, and internal product. You care about dimensional modeling, dbt standards, cost-aware warehouse design, access controls, privacy, and the details that make data trustworthy. You also believe AI should make the data stack faster, easier to maintain, and more accessible across the company without weakening security or governance. WHAT YOU'LL DO - Build the core data foundation - design and maintain high-quality data models, marts, and pipelines that make analysis fast, reliable, and reusable. - Manage the data warehouse - help own warehouse architecture, environments, permissions, performance, cost, data lifecycle, and operational hygiene so the platform scales cleanly. - Make the warehouse AI-readable - own the documentation, semantic context, metadata, lineage, and retrieval patterns that AI systems depend on to understand and query Perplexity's data correctly. - Own data modeling standards - define and champion dbt patterns, dimensional modeling practices, naming conventions, tests, and review processes. - Lead data governance practices - define standards for access, ownership, lineage, documentation, retention, quality, and sensitive data handling across the analytical warehouse. - Build with security and privacy in mind - partner with engineering, security, legal, and finance where needed to ensure data access, sharing, and AI-enabled workflows are appropriate and controlled. - Automate data quality and maintenance - build AI-assisted workflows that detect issues, explain root causes, suggest fixes, generate tests, and reduce manual firefighting. - Improve data team productivity - automate repetitive workflows, improve tooling, streamline development, and make it easier for data scientists and stakeholders to answer questions. - Partner across the company - work closely with data scientists, engineering, product, finance, and GTM teams to translate analytical needs into durable data systems. - Shape tooling decisions - evaluate build-versus-buy tradeoffs, manage vendor relationships when needed, and choose tools that scale with the team. WHAT WE'RE LOOKING FOR - 6+ years of experience as an analytics engineer, data engineer, data scientist, or closely related role. - Deep SQL expertise - you can reason about correctness, performance, joins, grain, and edge cases in complex warehouse queries. - Strong data modeling experience - you've worked hands-on with dbt (or a similar transformation framework) in production, and you understand dimensional modeling, data contracts, testing, and how analytical schemas should evolve. - Pipeline ownership - you've built, maintained, debugged, and improved production data pipelines. - Warehouse management experience - you've worked with warehouse administration, access patterns, permissions, performance tuning, cost management, or operational ownership. - Governance mindset - you think clearly about data ownership, access controls, privacy, retention, lineage, auditability, and the risks of making data too easy to access. - AI-native working style - you already use AI to speed up development, documentation, QA, exploration, and repetitive workflow automation. - Stakeholder fluency - you know how to turn messy analytical requirements into trusted models, metrics, and reusable data assets. - Autonomy and execution - you can take projects from ambiguous problem to production-quality system with minimal oversight. - Operational judgment - you care about reliability, governance, security, cost, and long-term maintainability. BONUS - Snowflake administration, optimization, cost management, or warehouse performance tuning. - Experience with RBAC, PII handling, data classification, retention policies, audit workflows, or privacy/security reviews. - Experience with Databricks or other modern data infrastructure. - Experience building semantic layers, metrics layers, metadata systems, or data catalogs. - Python experience for data tooling, automation, orchestration, or quality checks. - Previous experience as an early analytics engineer or data engineer at a high-growth startup. WHY THIS ROLE - Own the foundation - your work will determine how fast and confidently the company can use data. - Build for humans and AI - the next generation of data infrastructure needs to be understandable by agents as well as analysts. - High leverage - better models, pipelines, and tools multiply every data scientist and every stakeholder who depends on data. - Small team, broad scope - you'll have room to define standards, choose tools, and ship systems that become company-wide defaults.

Location: Remote (Canada) Workplace: Remote BUILD SOMETHING PEOPLE LOVE Wealthsimple is Canada’s leading financial innovator. The company offers a full suite of simple, sophisticated financial products across managed investing, do-it-yourself trading, cryptocurrency, tax filing, spending and saving. Wealthsimple currently serves more than 4 million Canadians and holds over $169 billion in assets under administration. The company was founded in 2014 by a team of financial experts and technology entrepreneurs, and is headquartered in Toronto, Canada. We're proud of what we've built — and we're just getting started. Read our Culture Manual https://www.wealthsimple.com/en-ca/culture and learn more about how we work https://www.wealthsimple.com/en-ca/careers. The Data Science & Engineering (DSE) team consists of analytics engineers, data scientists, and software engineers and is responsible for enabling data-driven decision making and building data products at Wealthsimple. The Growth Data focuses on driving new user acquisition and net deposit targets through marketing efforts including paid, organic, and branding initiatives. Our team is structured around key domain areas including promotions, referral and social sharing, paid marketing, and organic/upper funnel marketing measurement. We work closely with cross-functional partners in Growth, Product, and Engineering to optimize our marketing investments and scale Wealthsimple's customer base. The Growth Data team plays a critical role in enabling data-driven decision making across all marketing channels. We're looking for a Senior Data Scientist who will serve as a domain expert for one of our key marketing pillars, driving optimization through sophisticated algorithms, measurement systems, and strategic insights that influence millions of dollars in marketing spend. In this role, you'll be the DRI (Directly Responsible Individual) for your domain area, building data products and analytics solutions that directly impact business outcomes. You'll work on challenging problems ranging from marketing optimization algorithms to attribution modeling, experimentation, and strategic measurement. You'll collaborate closely with marketing stakeholders to understand business needs and translate them into technical solutions, while also partnering with data engineers and other data scientists on shared infrastructure. This is a full-stack data science role where you'll wear many hats: algorithm developer, measurement strategist, analyst, experimenter, and business partner. We're looking for someone who can hit the ground running with strong marketing analytics expertise and contribute to strategic direction from day one. IN THIS ROLE, YOU WILL HAVE THE OPPORTUNITY TO: - Build data products and algorithms that optimize marketing performance—including budget allocation, targeting strategies, and campaign optimization across multiple channels - Design and implement measurement strategies for marketing initiatives, including attribution modeling, incrementality analysis, and multi-touch attribution - Drive marketing strategy through data insights, A/B testing, and causal inference methodologies to maximize ROI on marketing spend - Develop and maintain analytics pipelines and data infrastructure, working collaboratively with data engineers and other data scientists - Conduct exploratory analysis to identify growth opportunities, understand customer behaviour, and optimize marketing tactics - Provide business-as-usual analytics support including reporting, dashboards, and ad-hoc analysis for marketing stakeholders - Leverage AI tooling to handle operational tasks efficiently and focus your expertise on high-impact strategic problems - Partner with ad platforms (Google, Meta, etc.) and internal engineering teams to ensure robust tracking, data integration, and measurement capabilities - Take ownership and ship it—continuously look for the simplest, most effective way to approach challenges; Occam's razor is your friend - Work where you are (while our Canadian offices are located in Toronto, we are a remote-first workforce and you can join from anywhere in Canada!) SKILLS WE ARE LOOKING FOR: - Understanding of digital marketing mechanics including attribution, ad platforms, tracking, and conversion optimization - Experience working with lifecycle data, understands various of ways of reaching out to new/existing customers and how they fit together holistically - Strong technical skills in Python and SQL with experience building production-quality code - Proven track record in algorithm development, optimization problems, or building data-driven decision systems - Strong foundation in causal inference, A/B testing, and experimental design - Excellent communication skills and ability to translate complex technical concepts for non-technical stakeholders - Demonstrated ownership as the data DRI on complex projects end to end, with proactive understanding of business context and how cross-functional teams build systems together WE ARE LOOKING FOR SOMEONE WHO: - Can use AI effectively to increase efficiency and depth of the work, while still providing the strategic guidance and critical thinking - Has full-stack data science experience, comfortable with everything from dashboards and reporting to sophisticated algorithm development - Can contribute to strategic direction in marketing analytics from day one with minimal ramp-up time - Thrives in a collaborative, multi-faceted environment with ongoing alignment across stakeholders and data team members - Is passionate about measurement and understanding what drives business outcomes, navigating the complexities of attribution and incrementality - Ideally has worked at larger-scale tech companies that develop internal analytics and optimization systems - Adjusts quickly to changing priorities and effectively manages complexity in a fast-paced growth environment - Values simplicity and pragmatism, knows when to build sophisticated solutions and when a simpler approach will suffice - Is eager to teach and learn. We value making each other successful! - Is a lifelong learner who's constantly seeking feedback to continue improving their craft WHY YOU'LL LOVE THIS ROLE: - High visibility, high impact: Your work directly affects Wealthsimple's growth bottom line and influences strategic marketing decisions - Diverse technical challenges: Develop expertise across measurement, A/B testing, causal inference, machine learning, and algorithm development - In-demand skill set: Build valuable skills in marketing analytics and optimization that are highly sought after in the tech market - Strategic domain ownership: Own a key pillar of Wealthsimple's growth strategy and build deep expertise in a lasting problem space - AI-enabled efficiency: Leverage cutting-edge AI tooling to amplify your impact and focus on the most strategic challenges WHY WEALTHSIMPLE? 🌸 Top-tier health benefits and life insurance 📈 Long-term group savings with employer match, through Wealthsimple for Business 🌴 20 vacation days, 4 wellness days, and unlimited sick and mental health days per year* ✈️ 90 days away: work outside Canada for up to 90 days per year* 👥 Employee resource groups, including Rainbow (2SLGBTQ), Women of WS, and Black at WS 🌎 We are a hybrid team with over 1,500 employees across North America. The people are one of the best parts of working here: you'll collaborate with incredibly talented, curious, and driven teammates who are deeply committed to doing great work. *Unlimited paid sick days, Wellness Days and the 90 day away program do not apply to certain roles. ICYMI Technology & Innovation at Wealthsimple: We move quickly and build thoughtfully. That means we're always looking for better ways to work — whether that's new tools, AI, or rethinking how we approach a problem. We don't expect you to have all the answers, but we do expect curiosity and a willingness to evolve alongside the products we're building. Inclusion Statement: We're building products for a diverse world, and we need a diverse team to do it well. We strongly encourage applications from everyone, regardless of race, religion, colour, national origin, gender, sexual orientation, age, marital status, or disability status. Accessibility Statement: We're committed to an accessible hiring experience. If you need any accommodations throughout the interview process, please let us know — we'll work with you to make sure you have what you need. We also welcome any feedback on how we can better accommodate candidates with accessibility needs. AI in Hiring: We may use artificial intelligence (AI) tools to support parts of our hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our team but don't replace human judgment – all final hiring decisions are made by people. If you have questions about how your data is used, reach out to us.

Location: Spain Workplace: remote Team: Sales Operations Location: Fully remote, Spain Reports to: Head of Sales Ops The short version Our sales, account management and partnerships teams deal with our most important customers and partners. Sales Ops is the team that builds, improves and maintains the tools and processes they use to succeed. We are looking for a senior Salesforce developer who will fully own the platform and everything connected to it: the code, the architecture, the integrations, and the pipelines that move data in and out. This is the technical end of Sales Ops. You will decide how things are built, not just build what you are handed. What you'll do Own the Salesforce platform end to end. Over 100 users across 7 key teams, a data model that carries real weight, and a growing set of markets on top of it. You are accountable for how well the whole thing works and where it goes next. Build in Apex and Flow, and know which one the problem calls for. Triggers, classes, async processing, test coverage, and declarative automation where declarative is the right answer. You write code the next person can maintain, and you leave the org better structured than you found it. Own the integration layer. Connected tools, APIs and middleware. When data crosses a boundary, you know where it came from, what shape it should arrive in, and what breaks when it stops. Own ETL and reverse-ETL. Getting data into Salesforce and back out to the warehouse and the rest of the stack. You design these pipelines, you run them, and you fix them when they drift. Keep the connected stack healthy. Outreach, Modjo, Kubaru, Lusha, Clay, Hightouch and other tools. You don't need to arrive an expert in each, but you should become the person who understands how they fit together. Set the technical standard. Architecture decisions, review of what gets built declaratively versus in code, and honest calls about technical debt. You work alongside our Salesforce Administrator and Data Ops Analyst, and you are the technical reference point for both. Push the vision forward. We want all day-to-day sales work to happen in Salesforce: the data our teams need to see, the actions they need to take, and the AI and automation solutions that multiply their productivity. You are the person who makes the hardest parts of that possible. This is an individual contributor role. As the platform and the function grow, there may be opportunities for it to develop toward technical leadership, depending on business needs and how the team evolves. How we build Three principles guide everything we ship: Top user experience. Minimise admin work for our users, maximise their productivity. Their time is the point. Build it right. Efficient, scalable, adaptable. We dislike technical debt and we don't pretend it isn't there. Security and privacy. Customer and prospect data safety is not a checkbox at the end of a project, it's a foundational requirement in everything we do. What you bring 5+ years Salesforce Sales Cloud development experience supporting commercial teams. Strong Apex development: triggers, classes, asynchronous processing, governor limits, testing. You can read an unfamiliar org and work out what is safe to change. Strong Flow development, and the judgement to know when a Flow is the right tool and when it isn't. Deep understanding of permissions, sharing models and data architecture in Salesforce. Hands-on experience building and owning ETL and reverse-ETL processes, not just consuming them. Experience using AI as part of how you work, preferably with Agentforce or Claude, including at least one project where you delivered clear and demonstrable value to a stakeholder team. You can walk us through what you built, what changed, and how you know it mattered. You can turn a vague request into a spec, and you push back when the request is the wrong fix for the real problem. An obsession with making your Salesforce users happy. This is not a back-office role. You will hear directly when something is annoying, and you should want to hear it. Fluent English. Our team and company include people from many European countries, English is our common language. You love independence and hold yourself accountable. This is a full remote position and micromanagement is not something we do. Bonus points Experience with Salesforce Service Cloud. Salesforce Platform Developer I or II certification. Experience with Outreach, Clay or Hightouch. Experience with Databricks, BigQuery or Snowflake. Experience working in Fintech, banking or other highly regulated environments.

Project description We are looking for an experienced AxiomSL Implementation Consultant to support the implementation and enhancement of regulatory reporting solutions for banking clients across Europe. The successful candidate will have hands-on AxiomSL / ControllerView implementation experience, a good understanding of regulatory reporting requirements, and experience implementing client-specific and local jurisdictional customisations. Responsibilities: — Support end-to-end implementation of AxiomSL regulatory reporting solutions, from requirements analysis through configuration, testing and deployment. — Analyse regulatory and business requirements and translate them into appropriate AxiomSL solution configurations. — Configure and implement regulatory reports, data mappings, business rules, calculations and reporting workflows. — Work with client data sources to define source-to-target mappings and integrate data into AxiomSL. — Implement and maintain localised/customised regulatory reporting requirements where standard AxiomSL functionality requires client or jurisdiction-specific enhancements. — Analyse gaps between standard AxiomSL solutions and client requirements and recommend appropriate configuration or customisation. — Support implementation of regulatory changes and new reporting requirements. — Perform data analysis, reconciliation and troubleshooting using SQL and AxiomSL tools. — Work closely with regulatory SMEs, Business Analysts, developers, testers and client stakeholders throughout the implementation lifecycle. — Support SIT/UAT, defect resolution, deployment and post-production implementation activities. — Produce appropriate functional and technical implementation documentation. Skills: — Must have 3–5 years of hands-on AxiomSL / ControllerView Implementation experience. — Proven experience implementing AxiomSL regulatory reporting solutions within banks or financial institutions. — Experience with Nasdaq RegCloud and/or migration from on-premise AxiomSL to RegCloud. — Exposure to European regulatory reporting including COREP, FINREP, LCR, NSFR, ALMM, AnaCredit, DGS, IRRBB or other local regulatory returns. — Experience implementing AxiomSL across multiple entities or jurisdictions. — Experience adapting standard regulatory reporting templates to meet country-, entity- or client-specific requirements. — Knowledge of regulatory data lineage, data quality, reconciliation and reporting controls. — Exposure to regulatory change implementation and AxiomSL solution. — Experience with regulatory reporting implementation, including data sourcing, mappings, calculations, validations and regulatory outputs. — Experience implementing local jurisdictional requirements and client-specific customisations. — Strong understanding of AxiomSL data structures, workflows and regulatory reporting processes. — Good SQL and data-analysis skills. — Experience performing gap analysis between standard AxiomSL functionality and client requirements. — Ability to translate regulatory/business requirements into functional and technical solutions. — Strong analytical and problem-solving capabilities. — Ability to work directly with business, regulatory and technology stakeholders. — Strong written and verbal English communication skills. Nice to have: — Axiom certification — English: C2 Proficient — Seniority: Senior

Workplace: remote Requirements Degree in Computer Science, Software Engineering, or equivalent Strong technical background with 5+ years of software development experience Hands-on Knowledge of object-oriented design and SOA 4+ years developing and implementing in Microsoft Dynamics 365 solutions, committed personality & eager to learn Strong programming skills using: X++, C#, .NET, and SQL Familiarity with SOAP, REST, OData Experience with Logic Apps and Azure Cloud Excellent communication, interpersonal, and problem-solving skills Experience integrating applications with external systems Knowledge of Microsoft Life Cycle Services and Data Migration Framework Experience working with Power Platform, APIs can fix & develop API for different projects EX: mobile app Familiarity with Agile methodologies (SCRUM) Exposure to Azure DevOps Fluent English Responsibilities Customize Dynamics 365 for Finance and Operations Work with Program Managers, analysts, consultants, and the development team to identify and implement innovative solutions to business solutions Contribute to the estimating of engineering designs and implementations Perform thorough and efficient code reviews Design and implement code solutions to increase system optimization, maintainability, scalability, security, testability, and stability Follow standards and practices established by the Software Solutions team to ensure solutions address both functional and non-function Requirements in a consistent manner across the organization Test and release software using established standards and practices in collaboration with the Quality Assurance Team We offer Projects for such clients as PayPal, Wargaming, Xerox, Philips, Adidas and Toyota Competitive compensation that depends on your qualification and skills Career development system with clear skill qualifications Flexible working hours aligned to your schedule Options to work remotely Corporate medical insurance covering services of private and public medical centers English courses online Corporate parties and events for employees and their children Internal conferences, workshops and meetups for learning and experience sharing Gym membership compensation 5 days of paid sick leave per year with no obligation to submit a sick-leave certificate Any questions? Dina hh@itransition.com

Workplace: remote Location : Quantori is an international team: we have colleagues who work not only from office but also remotely from all over the world. Responsibilities : Configure and customize Revvity Signals ELN based on business and scientific requirements Work closely with Business Analysts to understand requirements and translate them into system configurations Configure templates, workflows, system settings, user roles, permissions, and other application components Support the adoption and optimization of existing R&D workflows within Signals ELN Troubleshoot configuration-related issues and support users as needed Assist with testing and validation of new or updated configurations Maintain configuration documentation and ensure changes follow established processes and standards Collaborate with scientific, business, and IT stakeholders throughout configuration and implementation activities What we expect : 5–8 years of experience working in laboratory settings, with a strong understanding of laboratory and R&D workflows At least 5 years of hands-on experience with Revvity Signals ELN / Signals Notebook Strong hands-on experience configuring and integrating Revvity Signals ELN, including templates, workflows, system settings, roles, permissions, and integrations with external laboratory systems using APIs and connectors Ability to translate scientific and business requirements into effective ELN configurations Experience working closely with Business Analysts and scientific users Strong troubleshooting, communication, and stakeholder management skills Nice to have : Hands-on experience with Revvity Synergy Familiarity with Signals APIs, integrations, or data migration activities We offer : Competitive compensation Remote work Flexible working hours A team with excellent tech expertise

Location: Los Angeles, United States Workplace: onsite About Xsolla Xsolla is a global video game commerce company that provides the tools and infrastructure the gaming industry relies on to build, distribute, and monetize games. Working with developers and publishers of every size, from independent studios to the largest franchises in the world, Xsolla operates as a merchant of record and processes payments across more than 200 countries and territories, supporting over 1,000 payment methods, 130 currencies, and 25 languages. Its platform spans the full game lifecycle, including web shops, Pay Station, Login, Launcher, the In-Game Store, and a broad suite of LiveOps and monetization tools. The Capital Markets Grou The Capital Markets Group (CMG) sits within Xsolla's Global Strategic Initiatives function and operates as the firm's institutional capital platform. The group originates, structures and executes financing and investment solutions across games and interactive entertainment. The group operates multiple investment vehicles spanning debt financing and credit markets, alongside special situations and principal investment strategies serving the interactive entertainment ecosystem. These activities are supported by a proprietary market intelligence system, a global events and convening program, and a governed institutional relationship platform covering LPs, sovereign investors, family offices, banks and intermediaries across the Americas, MENA , APAC and Europe. CMG operates from hubs in Los Angeles, New York, the Middle East and Singapore. The group is in its foundation stage: hires at every level join a live deal environment with executive sponsorship, meaningful ownership and the mandate to build a durable franchise rather than inherit one. For more information, visit xsolla.com . About the Opportunity Xsolla is seeking a Vice President, Investor Relations and Capital Formation to run the investor relations engine of the Capital Markets Group across its fund platform: owning the institutional relationship platform, the capital formation funnel from segmentation and tiering through outreach, nurture, diligence and close, and the investor communications and reporting that keep LPs informed and engaged. The corporate title for this seat is Vice President. The role manages the Analyst, Capital Markets Intelligence and CRM, and offers a clear path to senior leadership of the group's investor relations function. The Vice President, Investor Relations and Capital Formation will be based in Los Angeles, CA, Xsolla's headquarters, in office, and will report to the Group Head of Capital Markets (SVP, Global Strategic Initiatives), with a dotted line to the fund principals. Travel is approximately 15 to 25 percent, primarily for roadshows and priority industry events. This is a full time position. Expressions of Interest Xsolla welcomes confidential conversations with qualified candidates and trusted introductions. Please direct expressions of interest, together with a resume and a short note on relevant experience, to the Xsolla Talent Acquisition team via the application button linked below. Role Overview As Vice President, Investor Relations and Capital Formation, you will run the investor relations engine for the group's fund platform. You will own the relationship platform and the capital formation funnel end to end: segmentation and tiering, outreach and nurture, diligence and data room, investor communications and reporting. The role suits a candidate who has run fund marketing operations at an institutional standard and wants to build that function, and the team behind it, from the foundation. Key Responsibilities Capital Formation Operations Run the funnel. Run the capital formation funnel end to end, from segmentation and tiering through outreach, nurture, diligence and close. Manage diligence. Manage DDQs, the data room and subscription documents in partnership with fund counsel and fund administrators. Coordinate roadshows. Plan and coordinate multi region roadshows and own the master investor calendar. Support onboarding. Support investor onboarding, including KYC and AML processes, with fund administrators and counsel. Investor Relations and Communications Produce investor materials. Produce introductory materials, quarterly updates, announcements and invitations, with all communications cleared through Legal and fund counsel. Prepare senior coverage. Ensure meeting briefings are prepared for senior coverage and that commitments made in meetings are tracked through to completion. Integrate convening. Integrate the group's global events and convening program into the capital formation funnel. Relationship Platform and Data Governance Own the platform. Serve as Salesforce system administrator and data owner for the relationship platform, including schema, tiering and scoring, deduplication, enrichment and the interaction logging standard. Report on the funnel. Produce funnel, coverage and data hygiene reporting for the weekly pipeline call and the monthly executive readout, and maintain the KPI dashboard. Control access. Manage access controls and permissions on the relationship platform. Team and Control Develop the Analyst. Manage and develop the Analyst, Capital Markets Intelligence and CRM. Operate within the rules. Operate within private placement marketing constraints and approval workflows, and maintain audit ready records across investor activity. Candidate Profile Experience 6 to 10 years of experience in investor relations, capital formation, private placement or fund marketing operations at an alternative asset manager, placement agent, fund administrator or investment bank. Hands-on experience running DDQs, data rooms and subscription processes. Exposure to multiple alternative strategies, such as credit, special situations and private equity, is preferred, as is exposure to gaming, entertainment or technology investing. Domain Expertise Working knowledge of fund marketing compliance and private placement rules. Familiarity with institutional reporting standards and standard DDQ formats is preferred. Skills and Competencies Demonstrated accountability as a CRM administrator and data owner, ideally in Salesforce. Experience with marketing automation tools and data providers such as Preqin or PitchBook is preferred. Exceptional business writing skills. Strong organization across multiple time zones and workstreams. Discretion with confidential information and a high degree of ethics and integrity. Education and Credentials A bachelor's degree is required. The SIE , Series 7 and Series 63 licenses and the CAIA designation are preferred. Work Authorization Candidates must be authorized to work in the United States. Benefits: We are passionate about fostering a supportive environment for our team, so we prioritize the physical, mental, and emotional well-being of our employees and their families through a comprehensive Benefits Program. This includes 100% company-paid medical, dental, and vision plans, unlimited Flexible Time Off, and a personalized career roadmap for each employee. By investing in professional development through training and educational opportunities, we ensure that our team thrives both personally and professionally. Together, we’re not just building a business; we’re cultivating a community that values creativity, collaboration, and the transformative power of play. Equal Employment Opportunity Statement: Xsolla is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or any other characteristic protected by law. We consider qualified applicants with criminal histories in accordance with the Fair Chance Act and the Los Angeles Fair Chance Initiative for Hiring. Reasonable accommodations are available to applicants on request. Criminal History Consideration: For the Vice President, Investor Relations and Capital Formation, we will conduct a background check that may include the following: Criminal history check, including fingerprinting where securities registration is required Employment verification Education verification Professional license verification and regulatory disclosure review Relevance to Job Responsibilities: The background check is relevant to this position because of the following role responsibilities: Handling sensitive financial information and investor subscription and onboarding records Accessing confidential company and investor data Ensuring compliance with securities and private placement regulatory requirements Rights Under the Fair Chance Act: Applicants are encouraged to inquire about their rights under the Fair Chance Act. If you have questions regarding our hiring practices, please contact careers@xsolla.com . By submitting the following job application form, you consent to Xsolla processing your data for career-related inquiries and potential employment opportunities. We process your data in accordance with this Xsolla Privacy Notice for Job Applicants . Please direct any inquiries regarding your data privacy to careers@xsolla.com . Compensation is competitive and negotiable based on experience, and includes performance-based incentives, equity participation, and comprehensive health, retirement, and wellbeing benefits.

Location: SF Bay Area; US Remote Workplace: Remote ABOUT THE ROLE Cyberhaven is building Flow, a unified data security platform spanning Human Data Security, Agentic Data Security, and Data Security Posture Management. The people who use it are security analysts, insider-risk investigators, and data protection leaders — experts doing demanding work under time pressure, who live in our product all day. And increasingly they are not working alone: AI agents are becoming actors inside the enterprise and inside our product, which means the experience we design now has to serve both the human doing the judging and the agent doing the work. We are looking for a Director of Product Design to lead our design team and own what Flow feels like to use. You will set the experience vision for the platform, define the interaction patterns for a generation of security work that is part human and part agentic, and lead the designers and researchers who make it real. You will lead a small, talented team of designers and will partner directly with the CPO, product management, engineering, and customer experience, and you will operate as the design voice in the rooms where the roadmap and scope get decided. This is a hands-on leadership role: you will raise the craft bar and grow your team, and still be close enough to the work to have an independent point of view about what we should build. WHAT YOU'LL DO - Own the end-to-end product design experience across Flow, HDS, ADS, and DSPM from the analyst’s daily workflow to how the platform holds together as one product rather than three. - Define the next-generation experience vision for the platform, including how humans and AI agents work together inside it: agent-assisted investigation, human-in-the-loop decisions, explainability, and the interaction patterns that let a security professional trust and override automated work. - Lead, coach, and grow a team of product designers, and raise the standard for craft, critique, and how design decisions are argued and defended. - Own the UX research function and make sure the team’s work is grounded in evidence customer interviews, usability testing, support and RFE signal, and product instrumentation rather than internal opinion. - Partner with product management and engineering from the earliest stage of every major initiative, shaping the problem definition and scope rather than styling decisions that have already been made. - Build and evolve the design system and the patterns that let a growing engineering organization ship a consistent experience at speed. - Establish how design measures itself usability benchmarks, task success, time to resolution for core analyst workflows, adoption of new surfaces, support deflection and report against it. - Drive the experience work behind platform migration, making sure the move to Flow is something customers want rather than something they endure. - Represent the customer’s experience in executive forums roadmap reviews, business reviews, and planning with a clear and honest read on where the product stands. WHO YOU ARE - 10+ years in product design, including 4+ years leading and developing designers, with a portfolio of shipped work you can walk through end to end. - Worked in cybersecurity, or designed for security operations, insider risk, or data protection teams. - You have set an experience vision for a complex product and then delivered against it not just a concept deck, but patterns and surfaces that shipped and held up. - Experienced with complex, expert-user enterprise software tools where the user is a professional doing demanding work, not a consumer. Security, IT operations, observability, data infrastructure, or similar domains. - You have designed AI-powered or agentic product experiences and have a real point of view on trust, transparency, control, and what happens when the model is wrong. - Strong systems thinker: you can hold a platform-level information architecture in your head, and you build design systems that make teams faster instead of slowing them down. - You value and use research. You know how to run the function, ask the right questions of it, and act on what comes back. - An exceptional communicator and influencer. You can tell a room of executives something they do not want to hear, ground it in the customer’s reality, and leave with a decision. - A people leader first. You develop designers, give direct feedback, and build a team that does its best work. - You operate with urgency and judgment in a fast-moving environment, and you are comfortable making progress before every input is in hand. - Located in the US (SF Bay Area preferred). - Led design through a major platform migration or the consolidation of several products into one. - Experience building a design function hiring, leveling, process, and the operating rhythm not just running one that already existed. Joining Cyberhaven means joining the team building Data Security for the Agentic Enterprise. Traditional tools fall short. Cyberhaven traces the full lifecycle of your data, adapting protection to changing context, so protection moves with the way people actually work, not against it. AI Changed Work. We Protect It. Backed by $250M from leading investors like Khosla and Redpoint, our team includes leaders who built industry-defining technologies at CrowdStrike, Palo Alto Networks, Meta, Google, and more. This role lets you shape the future of data security, working alongside people driven to protect workflows, not just data, for customers who cannot afford to slow down to stay safe. AI Tools Disclosure: As part of Cyberhaven's hiring process, we use recruiting tools that include AI-powered features to help with tasks like scheduling, note-taking, workflow automation, and other recruiting activities ("AI Tools"). The AI Tools may process information you provide during the application and interview process. When AI-assisted interview note taking is used, candidates are notified in advance and have the option to opt out of the AI-assisted interview note taking. Cyberhaven is committed to creating a diverse environment and is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

Location: Prague, Czechia D-ploy is an IT and Engineering Solutions company with operations throughout the EMEA region including Switzerland, Germany, Czech Republic, Austria, UK, as well as the USA. We pride ourselves on delivering innovative and superior services and solutions to numerous industry-leading clients. By building relationships and trusted partnerships within the IT community, we optimize our customer‘s IT productivity and contribute to the organization’s success and value. We are interested in talking to engaging, flexible, and solution-oriented individuals who are looking to become a part of a dynamically growing and international organization. We are focused on creating value where IT counts, join us! Tasks and Responsibilities 1. Discovery and Requirements Actively participate in payroll discovery and requirements workshops. Document current processes and translate business needs into clear, testable functional requirements. Map end-to-end processes and perform fit-gap analysis, identifying risks, dependencies, controls, and solution options. 2. Solution Design and Validation Represent Payroll in solution-design discussions and confirm that proposed processes and configurations meet business and control requirements. Support data mapping, migration, validation, reconciliations, and integration requirements across HR, time, benefits, Finance, and banking. 3. Testing and Delivery Develop and review test scenarios, expected results, and acceptance criteria. Support system integration testing, user acceptance testing, end-to-end testing, payroll parallel runs, defect triage, retesting, and sign-off readiness. 4. Governance, Cutover, and Stabilization Coordinate functional actions, risks, issues, dependencies, decisions, and deliverables across internal teams and external partners. Support cutover planning, operational readiness, go-live, hypercare, stabilization, documentation, and knowledge transfer to payroll operations Requirements Experience as a Payroll Functional Consultant, Payroll Business Analyst, Payroll subject-matter expert, or in a comparable transformation role. Strong practical understanding of end-to-end payroll processes, data, integrations, controls, and reconciliations. Experience supporting payroll implementations, transformation initiatives, system migrations, or vendor transitions. Demonstrated capability in requirements gathering, process mapping, fit-gap analysis, testing, and defect management. Ability to translate payroll needs into clear functional and technical requirements. Strong analytical, stakeholder-management, project-coordination, and communication skills. Ability to collaborate effectively across Payroll, HR/P&O, Finance, IT, project teams, and external partners. Candidates must declare Criminal record extract not older than three months Benefits Broad range of activities, tasks, and projects Flexible working conditions Minimum 5 weeks of vacation Paid sick days Meal vouchers Vouchers (B-day voucher, wedding, and new born surprise) Contributions to wellness programs (multisport card) Fishing for Friends program – our referral program Refreshments in the D-ploy office Further development and professional advancement Friendly and international working environment Company-sponsored events Competitive salary and various benefits Is IT in your DNA?

Location: Abqaiq, Saudi Arabia We are looking for an experienced Senior Electrical Engineer with 20+ years of experience in electrical engineering, project execution, construction, and commissioning. The candidate should have strong expertise in large-scale power generation, transmission, and distribution projects. Key Responsibilities Lead electrical engineering, construction, pre-commissioning, and commissioning activities. Ensure project execution complies with contract requirements, schedule, cost, HSE, quality, and company procedures. Review electrical designs, drawings, specifications, and technical documentation. Supervise electrical equipment installation, testing, inspection, and commissioning. Coordinate with project managers, engineers, contractors, vendors, clients, and other stakeholders. Conduct site inspections and resolve technical and construction issues. Ensure electrical systems are designed and installed in accordance with applicable standards and project requirements. Requirements Bachelor’s Degree in Electrical Engineering. 20+ years of relevant experience in electrical engineering and project management/execution. Strong experience in power generation, transmission, and distribution systems. Hands-on experience in equipment installation, testing, pre-commissioning, and commissioning. Proficiency in ETAP and familiarity with Flowstar, MS Office, PLC, SCADA, DCS, network communication protocols, and vibration analysis software . Knowledge of electrical design principles, power systems, circuit analysis, and control systems. Experience with laser alignment tools , equipment, and construction tooling. Strong communication, leadership, and stakeholder management skills. Full professional proficiency in English. Preferred Certifications Vibration Analyst – ISO Category I Certified Seal Assembly Artisan

Location: Des Moines, Iowa, United States About the Role iCapital is looking to hire a Client Delivery AVP to join the Annuities Platform team. This role provides operational, portfolio, and people leadership across the Carrier/Distributor client portfolio. The role is accountable for successful and on-time delivery of SaaS implementations, enhancements, and ongoing client initiatives, including project governance, portfolio financial performance, resource management, client escalations, and transition to ongoing support. The role leads Project Coordinators, Business Analysts, Configuration Analysts, and other delivery resources, and serves as a key connection point among Client Success, Solutions Engineering, Product, Engineering, Operations, Finance, Sales, and Support. Responsibilities Lead a portfolio of Carrier/Distributor client implementations, enhancements, and strategic initiatives, ensuring successful delivery, client satisfaction, and business outcomes. Serve as the primary delivery leader for assigned clients, building trusted relationships and aligning delivery efforts with client goals and strategic objectives. Provide oversight of project governance, timelines, scope, milestones, risks, dependencies, resource allocation, quality, and delivery performance. Lead teams consisting of Project Coordinators, Business Analysts, Configuration Analysts, and other delivery resources to successfully deliver client implementations, enhancements, and strategic initiatives. Manage portfolio capacity planning and resource utilization to ensure projects are appropriately staffed and aligned to business priorities. Drive project and portfolio health by proactively managing risks, issues, escalations, dependencies, change requests, and stakeholder communications. Own portfolio financial performance, including forecasting, revenue, margin management, billing accuracy, and operational efficiency. Ensure accurate project reporting, portfolio visibility, and adherence to project management standards, tools, and delivery processes. Serve as a senior escalation point for complex client and cross-functional delivery issues, driving timely resolution and executive visibility when needed. Partner closely with Product, Engineering, Solutions Engineering, Operations, Finance, Sales, Support, and Client Success teams to deliver client outcomes and remove delivery obstacles. Promote continuous improvement through enhanced governance, reporting, change management, implementation practices, and operational processes. Qualifications Project Management Professional (PMP) certification preferred. 7+ years of project management or delivery leadership experience implementing Software/SaaS solutions in financial services or insurance. Demonstrated experience managing a client portfolio, portfolio financial performance, and multiple teams concurrently. Experience managing the performance of Project Coordinators/Managers, Business Analysts, and cross-functional delivery teams. Proven success leading SaaS projects and programs on time, within scope, and within budget. Experience leading, motivating, and managing teams of varying sizes, including internal and external resources. Experience in financial services/financial software applications is required, Insurance experience in Life, Annuity, Property & Casualty applications is strongly preferred. Excellent leadership, written, verbal, presentation, and interpersonal communication skills. Strong analytical, organizational, problem-solving, team building, and change leadership capabilities. Ability to work independently and collaboratively while adapting to shifting priorities, demands, and timelines. Proficiency with Microsoft Teams, Word, Excel, PowerPoint, and Outlook. Experience with JIRA is required, Cantata is a plus. Benefits The base salary range for this role is $110,000 to $130,000.  iCapital offers a compensation package which includes salary, equity for all full-time employees, and an annual performance bonus. Employees also receive a comprehensive benefits package that includes an employer matched retirement plan, generously subsidized healthcare with 100% employer paid dental, vision, telemedicine, and virtual mental health counseling, parental leave, and unlimited paid time off (PTO). We believe the best ideas and innovation happen when we are together. Employees in this role will work in the office Monday-Thursday, with the flexibility to work remotely on Friday. This role is based in the greater Des Moines, IA area. For additional information on iCapital, please visit https://www.icapitalnetwork.com/about-us Twitter: @icapitalnetwork | LinkedIn: https://www.linkedin.com/company/icapital-network-inc | Awards Disclaimer: https://www.icapitalnetwork.com/about-us/recognition/ iCapital is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

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 about the Role We're looking for a Senior Product Manager to own the Lead-to-Opportunity (L2O) domain within our Salesforce and GTM technology ecosystem. This role sits at the intersection of marketing operations, sales process, and technology owning the roadmap for how leads are captured, scored, routed, and converted into pipeline, and how our broader GTM tech stack supports that motion. This is a foundational hire one of the first product managers on a team actively transforming from a reactive BSA model into a proactive, roadmap-driven product organization. You'll be both an individual contributor driving your own domain and a mentor helping BSAs grow into product manager roles. You'll have direct influence over how we shape the team's future operating model. What You'll Do Internal Product Roadmap Ownership Define, own, and maintain the multi-quarter internal product roadmap for the Lead-to-Opportunity domain covering lead capture, enrichment, scoring, routing, conversion, opportunity and the broader GTM technology stack integrated with Salesforce Translate business strategy from Marketing, Sales Development, RevOps, and GTM leadership into sequenced, prioritized system capabilities with clear outcomes and success metrics Define the domain's strategic priorities each quarter and half, balancing net-new capability delivery, stabilization, and technical debt reduction with transparent trade-off frameworks Drive quarterly planning ceremonies, partnering with Engineering Managers and BSAs to align capacity with roadmap commitments Own domain-level documentation: process maps, current-vs-future state lead lifecycle flows, and decision logs that keep stakeholders and the team aligned on scope and ownership Stakeholder Partnership & Requirements Translation Serve as the primary product voice for all L2O and GTM Systems initiatives, partnering closely with Marketing, Marketing Operations, SDR/BDR leadership, Sales, and RevOps Lead discovery, requirements workshops, and business process design sessions translating complex GTM and marketing operations requirements into actionable system specifications Own the decision layer between "what the business needs" and "what engineering builds," resolving ambiguity with structured frameworks and documented decisions Run structured stakeholder alignment sessions to surface trade-offs, build consensus, and drive open decisions to closure rather than letting them linger Represent the domain in cross-team planning and leadership reviews able to explain technical constraints to business stakeholders and business context to engineers Team Mentorship & Capability Building Act as a product craft mentor and senior thought partner for the BSA team, actively upskilling analysts in product thinking, requirements structuring, acceptance criteria definition, and roadmap communication Model and codify what "good" looks like reusable templates, rituals (backlog grooming, roadmap reviews), and a rubric BSAs can grow against Give BSAs increasing ownership over pieces of the roadmap as they develop, with regular feedback and structured check-ins Partner with leadership to evolve the team's operating model from project-execution-focused to product-thinking-led, raising the bar for how EntApps delivers business value Program Strategy & Delivery Oversight Lead initiatives end-to-end: discovery, requirements, prioritization, solution design review, UAT, launch, and post-launch measurement Write and maintain clear user stories, acceptance criteria, and lead-flow and data-flow diagrams that engineering and admins can build against without ambiguity Manage a healthy, well-groomed backlog intake requests from Marketing and Sales Development, triage by impact and effort, and defend prioritization decisions to stakeholders Define success metrics per initiative (lead response time, routing accuracy, lead-to-opportunity conversion rate, data quality, SDR/BDR adoption) and report on outcomes, not just delivery Identify and de-risk dependencies across adjacent domains campaign operations, data enrichment vendors, opportunity handoff to sales before they block delivery Own UAT strategy and acceptance criteria in collaboration with BSAs, ensuring system changes meet business requirements before production release Systems Architecture Collaboration Partner with Enterprise Architects and Engineering Managers on Salesforce and MarTech integration design marketing automation platform to Salesforce sync, data enrichment pipelines, lead scoring and routing engines, ensuring choices hold up to governance, scale, and future roadmap needs Bring informed opinions on GTM platform architecture trade-offs based on deep domain knowledge Stay current on platform roadmaps for Salesforce Sales Cloud and connected MarTech tools, identifying opportunities to leverage native capabilities before custom builds Maintain domain-level R&R clarity, who owns what across US/India technical managers, BSAs, and adjacent pods and update as team and scope evolve Ability to engage deeply with engineering and architecture teams on API design, data modeling, and integration patterns. What You'll Bring 7+ years in Salesforce product management, business systems analysis, or Marketing/Revenue Operations technology roles, with demonstrated growth into product ownership Strong working knowledge of Lead-to-Opportunity processes; lead capture, scoring, routing, and conversion and how they connect marketing execution to sales pipeline Hands-on familiarity with the GTM technology stack: Salesforce Sales Cloud plus marketing automation platforms (Marketo, HubSpot, or Pardot), lead scoring and routing tools, and data enrichment or intent providers Good Understanding of quoting process Demonstrated ability to own and communicate multi-quarter internal product roadmaps to senior business and technology stakeholders Proven experience leading initiatives end-to-end with multiple stakeholders and competing priorities, especially across Marketing and Sales Sufficient technical fluency to engage meaningfully with engineering on API design, data model decisions, and integration trade-offs — without needing to write code Experience mentoring or upskilling analysts and BSAs, you enjoy developing people, not just managing tickets Excellent written and verbal communication; able to represent technical trade-offs to non-technical executives and translate business asks into clear technical requirements Comfortable operating in ambiguity and driving structure where none exists Experience with AI-assisted development workflows, data governance and compliance for lead data, or prior people-management experience About the Team You'll be one of the first product managers on a team actively transforming from a reactive BSA function into a proactive, roadmap-driven product organization. The Lead-to-Opportunity domain sits at the top of GitLab's revenue funnel; the quality of data, routing, and conversion here affects every downstream system and every seller. Getting this right is not an IT problem; it's a revenue problem. You'll have direct influence over how we shape the team's future operating model and how the next generation of BSAs grows into product managers. 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 $104,800 — $176,400 USD How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

Location: New York, New York; Manhattan, New York; Brooklyn, New York; Trenton, New Jersey; Yonkers, New york; New York City Metropolitan Area; Newark, New Jersey Workplace: remote Provectus is an AI consultancy founded in 2010 and led by its founders. As an AWS Premier Partner and an Anthropic Preferred Partner, we help Financial Services & Insurance and Healthcare & Life Sciences companies design, build, and operate production AI systems. With offices across North America, LATAM, and EMEA, we work with clients worldwide. We are hiring an Account Executive to turn incoming enterprise leads into signed consulting engagements. Clients buy multi-month consulting engagements. You won't build pipeline from scratch. Anthropic and AWS share qualified enterprise leads with us. Your job has four parts: Qualify those leads quickly. Run discovery with buyers at banks, insurers and life sciences companies. Scope the work with our architects. Close. What you'll do: Pick up new leads as they arrive, decide which to pursue, and be able to explain why. Run discovery calls with business and technology leaders. Map their process, data, regulatory constraints, budget and decision path. Work with delivery leads and architects to scope proposals and SOWs that we can deliver. You are selling consulting engagements, not software licenses. Negotiate and close to a signed SOW, with the Chief Commercial Officer joining larger deals. Run the full sales cycle: discovery, solution scoping, proposal, negotiation, close. Translate Anthropic's product roadmap and partnership incentives into the client propositions. Keep Anthropic and AWS partner reps informed on the leads they share, and take part in joint pipeline reviews. Keep the CRM current and forecast your deals accurately. Bring buyer objections and patterns from each industry back to leadership and marketing. Travel for client meetings, up to 30% of your time. What You Need to Succeed: 2–4 years in a client-facing commercial role in a consulting or IT services firm where you closed deals yourself, such as account executive, account manager, or consultant who owned client sales. Be ready to share the specifics: what you closed, at what size, and how long each deal took. OR experience with banks, insurers, or pharma/biotech companies in one of these roles: selling services or technology to them (including smaller deals you closed yourself or larger deals where you supported the lead); working on client projects at a consulting firm, including proposals or scoping; or working inside one of these companies on projects where you helped evaluate and select outside vendors. Working knowledge of Financial Services (banking, insurance, capital markets) or Life Sciences (pharma, biotech). You have worked in the industry or sold into it, and you can discuss a buyer's process and regulatory constraints in their terms. Experience selling services engagements or complex B2B deals with several stakeholders. Clear written and spoken communication with director-, VP- and C-level buyers. Comfort handling a steady volume of leads and choosing where to spend your time. Strong plus Experience selling AI/ML, data or cloud services. Experience working partner-referred leads from Anthropic, AWS, GCP or Azure. About Provectus: Provectus is an Artificial Intelligence consultancy and solutions provider, helping businesses achieve their objectives through AI and data-driven innovation organization-wide in such industries as Financial Services, Insurance, Healthcare & Life Sciences, Retail & CPG, Media & Entertainment, and Manufacturing. We are recognized by industry analysts as a leading provider of AI solutions across key business domains. At Provectus, we value innovation, ownership, and collaboration — and we are looking for people who want to grow with us and make an impact. Why Join Us: Leads arrive every day, so your time goes into closing rather than prospecting. You learn enterprise AI consulting sales in two regulated industries. You close with support: our architects scope the work with you, and the Chief Commercial Officer joins larger negotiations. The delivery team can execute what you sell: 350+ people, 150+ certified architects, and 100+ customers in production. Work at the intersection of two AI partnerships: Anthropic and AWS. High-impact role with direct visibility to leadership. Compensation and benefits Base $90–120K + commission, OTE range $140–170K. The salary range is determined through interviews and a review of the education, experience, knowledge, skills, and abilities of the applicant, and alignment with market data. B2B contract model or full-time model. Unlimited vacation policy. Generous health, vision, and dental insurance, and life insurance. 401(k) matching plan.

Location: ES - Barcelona, Spain Scopely is looking for a Senior Engineer to serve on and elevate our new casual game, Monopoly GO!  team in Barcelona on a hybrid basis. At Scopely, we care deeply about what we do and want to inspire play every day - whether in our work environments alongside our talented colleagues or through our deep connections with our communities of players. We are a global team of game lovers who are developing, publishing and innovating the mobile games industry, connecting millions of people around the world daily. MONOPOLY GO! is a global phenomenon and the biggest mobile game launch in history, captivating millions of players worldwide. What You Will Do Contribute to the design, development, and scaling of gameplay systems, tools, and pipelines for Monopoly GO!, one of the world's most successful mobile games Own features and systems from design through release and live operation Collaborate with designers, artists, data analysts, and other engineers to bring ideas to life and continuously improve the player experience Build clean, performant, testable code across a variety of systems, including gameplay, LiveOps tooling, backend integration, and more Improve content pipelines and automate workflows to help other crafts ship content safely Investigate live-game incidents and unfamiliar issues, identify root causes, and turn the learning into better monitoring and fewer repeat failures Prototype new features and systems, and use AI to improve how the team works, from everyday workflows to collaboration and delivery Mentor less experienced engineers through code review, pairing, and feedback Learn from (and with) a world-class engineering org, while helping shape the future of how we work What We're Looking For Solid programming fundamentals in any language and a passion for making things players love Curiosity about how AI can improve creativity and productivity, whether it's prompt workflows, automation, or integrating AI tools into content pipelines You think like a systems designer: how things scale, how they evolve, how to keep them clean and efficient Experience with (or interest in learning) Unity and C#, plus relevant tools like Git, Docker, or cloud services Experience with Unity asset bundles or Addressables, asset importing, content pipelines, editor tooling, and validations Familiarity with backend systems, data pipelines, or infrastructure and observability A structured, calm approach to unfamiliar technical problems, including under time pressure An automation and tooling mindset Ability to turn requirements into clear technical specifications and explain decisions to non-technical colleagues A unique lens, whether that's a self-taught dev, a career hopper, or even an entirely new creative discipline. The more unconventional the better Bonus Points Backend experience with game services, APIs, and data stores, and confidence working across the client–server boundary Contributions to creative or technical projects: games, tools, mods, art, code, anything you're proud of Experience with live-operations configuration, content scheduling, or remote configuration in games Experience leading technical work across connected systems or multiple crafts Prior exposure to shipping live games, but we're happy to teach you that part About Scopely Scopely is a leading video game and global interactive entertainment company, home to many of the world’s most beloved and enduring experiences, including two of the most successful mobile games of all-time “MONOPOLY GO!” and “Pokémon GO,” along with “Stumble Guys,” “Star Trek™ Fleet Command,” “MARVEL Strike Force,” “WWE Champions,” the Scrabble® franchise, “Yahtzee® With Buddies,” and many others. Across mobile, web, PC, and console, Scopely creates, develops, publishes, and live-operates one of the most diversified and award-winning portfolios in the games industry — bringing hundreds of millions of players together through a shared love of play. Founded in 2011, Scopely is powered by its exceptional team — including thousands of world-class gamemakers around the globe, a distinctive tenet-driven culture, and its proprietary technology platform, Playgami. Together, these strengths have fueled Scopely’s position as the #1 mobile games company in the U.S. and #2 globally, generating more than $10 billion in lifetime revenue. Whether building global sensations like “MONOPOLY GO!” from the ground up, or expanding through strategic acquisitions, including the FoxNext, GSN, and Scopely Explore games businesses — Scopely consistently delivers experiences players love today and return to for years to come. Recognized multiple times as one of the "100 Most Influential Companies in the World" by TIME magazine and one of Fast Company's "World's Most Innovative Companies" and “Best Workplaces for Innovators,” Scopely believes that video games can be a force for good — creating meaningful connections, vibrant communities, and making life better through play. Scopely has global operations and partners across four continents in more than a dozen countries worldwide. For more information, visit: https://www.scopely.com/ . Notice to Candidates: Scopely will never request payment or financial information during the application or hiring process. Please apply only through our official website and verify that all Talent Partner communications come from an email address ending in @ scopely.com . Should you have any questions or encounter any fraudulent requests/emails/websites, please immediately contact recruiting@scopely.com. Our job applicant privacy policies are available here: California Privacy Notice and EEA/UK Privacy Notice . Employment at Scopely is based solely on a person's merit and qualifications. Scopely does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), or any other basis protected by law. We also consider qualified applicants with arrest or conviction records, consistent with applicable federal, state and local law.

Location: Lisbon Workplace: Hybrid ROLE HIGHLIGHTS: - Role: Forward Deployed Backend/DevOps Engineer - Location: Portugal (Lisbon) - Reports to: VP, Forward Deployed Engineering - Working type: Hybrid (On-site at customer locations approx. 50% of time) - Must be eligible and able to attain relevant national and NATO security clearances. - Must be based in-country and native level speaker of the country you're deploying to.   WHY THIS ROLE MATTERS In this role, you are the backend and infrastructure backbone defence and intelligence customers rely on. You deploy ICEYE's intelligence platform into secure (often air-gapped) environments and design the high-performance backend systems that move satellite data at scale — fast APIs, resilient services, tuned databases, automated infrastructure. Our stack: Python and Go services on Kubernetes, PostgreSQL and MongoDB, Terraform and Ansible, CI/CD pipelines that also run offline, cloud (AWS) and on-premises air-gapped clusters, with AI-assisted development as the default. This is a ship-daily role: systems you build run mission-critical workloads analysts use to protect nations. WHAT YOU'LL OWN Platform deployment & operations - Deploy ICEYE's intelligence platform into customer secure environments (on-premise, air-gapped networks, classified data centres). - Install, upgrade and operate Kubernetes clusters and containerised applications (Docker) in customer environments — cloud and on-premises. - Build infrastructure-as-code (Terraform, Ansible) and CI/CD pipelines that work without external internet access, including offline registries and artifact mirroring. - Troubleshoot deployment and production issues in disconnected environments, from the application layer down to storage and networking. High-performance backend systems - Design and build APIs, services and data pipelines that handle large volumes of SAR imagery and intelligence data with low latency. - Connect ICEYE systems to customer C4ISR infrastructure and intelligence tools through robust, well-designed integrations. - Own database design and performance at production scale (PostgreSQL, MongoDB): schemas, indexing, tuning, replication and backup. - Apply caching, queueing and horizontal scaling patterns deliberately — and capacity-plan for fixed on-premises hardware where you cannot simply scale out. Reliability, security & observability - Build monitoring, logging and alerting that work in restricted environments, so problems are found before the customer finds them. - Harden deployments to meet customer security constraints; own backup, recovery and upgrade paths for systems that cannot go down. - Run the infrastructure behind AI workloads shipped by the team — model serving, vector databases, GPU nodes — reliably and repeatably. Customer engagement & rapid delivery - Work embedded with intelligence analysts, operators and customer IT teams to understand operational and infrastructure requirements. - Rapidly prototype and iterate (working systems first, polish later) to address immediate operational needs. - Conduct hands-on training for customer administrators on platform operations. - Feed deployment experience back to ICEYE's product and engineering teams as concrete technical requirements. WHAT WE'RE LOOKING FOR Must-haves - 5+ years hands-on backend engineering building and operating production systems at scale. - Strong programming skills in Python. You write typed, tested services and you are comfortable with async APIs. TypeScript is a plus. - Proven experience designing high-performance backend systems: APIs, distributed services, messaging, caching and databases under real load. Experience with spatial, search, or vector workloads in Postgres is a plus. - Production experience in both cloud (e.g., AWS) and on-premises environments — this role lives in both. - Deep Docker and Kubernetes: deploy, debug, and upgrade clusters — not only consume them. GitOps and infrastructure-as-code experience. Pipelines that can run offline or on an isolated network are a plus. - Observability as a habit: metrics, logs, and alerts are part of done. - Infrastructure-as-code (Terraform, Ansible) and CI/CD experience, ideally including pipelines that run offline or in isolated networks. - PostgreSQL and/or MongoDB at production scale: schema design, tuning, replication, backup and recovery. - Observability as a habit: metrics, logging and alerting are part of done, not an afterthought. - Builder mindset: ship fast, iterate with feedback, and prioritise working solutions over perfect architecture. - Strong communication and customer engagement, able to work embedded with intelligence analysts / military operators. - Strong spoken and written English, able to explain technical concepts to non-technical stakeholders. - Willingness to travel 40–60% to customer sites within the region. Nice to have - Experience in defence, intelligence, or government operational environments. - Deploying to on-prem data centres and/or air-gapped networks, including offline artifact and registry management. - Event streaming and high-throughput data systems (e.g., Kafka or similar) at production scale. - Deeper Kubernetes: operators, service mesh, multi-cluster, storage and networking internals. - Security hardening and accreditation experience (system hardening baselines, audit and compliance in classified environments). - Familiarity with geospatial data, satellite imagery, or remote sensing. - Experience running infrastructure for AI/LLM workloads: GPU scheduling, model serving, vector databases. - Active use of AI-assisted development tools as part of your daily workflow. - Experience in defence tech (e.g., Palantir, Anduril, Scale AI, similar startups). WORKING AT ICEYE At ICEYE, you’ll join a diverse and highly engaged team united by the ambition to make the impossible possible. As a global scale-up, we combine speed and ambition with the opportunity to take real ownership from day one. Your growth, wellbeing, and success are a priority, with continuous professional development, training opportunities, and a culture where collaboration is how we win. HOW WE WORK (OUR VALUES) Make the impossible possible: We set ambitious goals and stay calm under pressure. We bring grit, optimism, and ownership when things get hard, and we keep moving until we find a way. - Be curious: Go deep, ask questions, listen carefully, and think critically. Understand the “why” behind decisions. - See the big picture: Stay close to what’s happening across the company so you can make better decisions. Consider how your work affects others. - Drive effective teamwork: Create psychological safety, invite different perspectives, and build inclusive teams. There are no bad questions. - Act as one team: We win together. We match tasks to the right owner and stay agile as priorities shift. - Have fun: What we do matters—and it should be enjoyable. Celebrate progress, take pride in results, and share the wins. BENEFITS Our benefits are designed to support your health and wellbeing—at work and beyond. We keep improving them based on employee feedback, and offerings vary by location. Talent Acquisition will confirm what applies for this role and location during the process. OUR COMMITMENT TO DIVERSITY, EQUITY AND INCLUSION We want ICEYE to be a place where people can be themselves and do great work. Different backgrounds and perspectives make us stronger, which is why we work to create an environment where people feel included, respected, and able to speak up. Whatever your background, we want you to bring your authentic self to the table. We’re committed to fair, inclusive hiring and equal opportunity. Everyone is welcome to apply. If you need any adjustments or support during the recruitment process, tell us—we’ll do our best to help. Apply now to start your ICEYE journey, and help us continue to make the impossible possible together. Read more about ICEYE and working with us at https://www.iceye.comiceye.com http://iceye.com