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Neo4j

About Neo4j: Neo4j is the graph intelligence platform that transforms data into knowledge to power the next generation of intelligent applications and AI systems. It includes enterprise-ready knowledge graphs for accurate, explainable, and governed AI; the most comprehensive, trusted, and easy-to-deploy graph capabilities across any environment and data source; and an unmatched ecosystem trusted by 84 of the Fortune 100 and supported by the world’s largest graph community. Intelligence that works. Results that matter. Built to work everywhere and integrate with everything across every cloud for dynamic, personalized, and autonomous AI systems. We deliver quicker results, contextual knowledge, and solutions that impact customers and employees across the business. Our Vision:  At Neo4j, we have always strived to help the world make sense of data.   As business, society and knowledge become increasingly connected, our technology promotes innovation by helping organizations to find and understand data relationships. We created, drive and lead the graph database category, and we’re disrupting how organizations leverage their data to innovate and stay competitive.   ROLE OVERVIEW: The Director is an executive leader responsible for the strategic health and financial performance of the EMEA Services organisation, delivering high-quality professional services that drive customer success with Neo4j. Reporting to the Global VP of Professional Services, you will oversee a multi-layered organisation, providing direction to hands-on Sub-Regional Managers who oversee the day-to-day regional delivery and technical execution of projects and regional staff (Consulting Engineers and Engagement Managers).   Your mission is to build the "Graph Consulting Engine" of the future. You will focus on high-level resource strategy, regional margin optimisation, and fostering a culture of excellence across EMEA. You are managing the business unit that ensures our enterprise customers successfully transition to a relationship-first data paradigm on the cutting edge of Generative AI.   This role balances team leadership, cross-departmental alliance building and strategic customer relationship management to ensure exceptional outcomes and customer satisfaction. Working closely with sales teams and cross-functional stakeholders, the Director plays a pivotal role in the company's growth through service excellence and customer success.   KEY RESPONSIBILITIES:   Organizational Leadership & Strategy: * Direct and mentor a team of Sub-Regional Managers, ensuring consistent delivery standards across the hemisphere. * Define the long-term regional roadmap for services, aligning headcount growth with Services bookings forecasts and emerging graph use cases (e.g., Knowledge Graphs for GenAI, COEs, etc.). * Drive regional "Service Productisation," working with Regional Managers to turn bespoke service engagements into repeatable, scalable service packages.   * Partner with Product and Engineering to turn bespoke graph solutions into repeatable, scalable service offerings. Financial & Operational Governance: * Total P&L accountability for the  EMEA region, including revenue attainment, gross margin targets, and organisational utilisation. * Regional Revenue Attainment: Achieve or exceed quarterly and annual Professional Services revenue targets for EMEA * Gross Margin %: Maintain regional delivery margins by balancing internal headcount costs against billable rates and third-party partner usage. * Services Attach Rate: Increase the percentage of software deals that include a strategic services component (Discovery, Architecture, or Implementation). * Govern regional capacity planning to ensure Sub-Regional Managers have the headcount and skills (e.g., Cypher, Data Modelling, Agentic Frameworks) to meet demand. * Billable Utilisation (Regional Average): Maintain an optimal blended utilisation rate across all sub-regions, ensuring the team is productive without risking burnout. * Backlog Conversion Velocity: Monitor the speed at which "Sold" services are converted into "Recognised Revenue" by ensuring Sub-Regional Managers kick off projects promptly. * Forecasting Accuracy: Maintain high precision in 90-day revenue and resource forecasting to inform global hiring and capacity decisions. * Customer & Platform Impact: * Time-to-Value (TTV): Shorten the window between contract signature and the customer’s first successful "Graph Query" or production use case. * Customer Satisfaction (CSAT/NPS): Achieve target scores for post-engagement surveys, ensuring high-quality delivery across all sub-regional teams. * Renewal & Expansion Rate: Collaborate with Sales/Account Teams to ensure services-led accounts show higher platform retention and expansion into new graph use cases. * Organizational Scaling & Talent: * Leadership Development: Success in coaching and promoting high-potential individual contributors into management or "Principal Consultant" tracks. * Partner Leverage Ratio: Increase the percentage of delivery hours handled by certified Graph Partners to allow internal teams to focus on the most complex, high-margin advisory work. * Employee Retention & Engagement: Maintain low voluntary attrition rates across EMEA Services organisation through effective culture-building and career pathing. * Risk Management: * Oversee regional risk management, acting as the final territory executive escalation point for the most complex or high-risk commercial engagements. Cross-Functional & Sales Alignment: * Partner with the EMEA  Sales VP to integrate services strategy into the "Big Deal" motion, ensuring services are positioned as a strategic accelerator, not just a line item. * Collaborate with the Partner/Alliances team to build a robust ecosystem of third-party integrators, augmenting internal capacity with certified graph partners. * Advocate for the "Voice of the Regional Customer" within the global leadership team to influence the platform’s technical roadmap. QUALIFICATIONS 10+ years of experience in Professional Services or Management Consulting within the Enterprise Software/Data space.Manager of Managers: At least 5 years of experience leading a multi-layered organisation with direct responsibility for subordinate people managers. Proven success managing a $5-10M+ P&L in a high-growth SaaS or Database environment.High-level fluency in the Graph Database landscape (NoSQL, RDF, Property Graphs) and an understanding of how graph technology solves enterprise-scale data silos.Experience navigating the complexities of regional expansion, specifically the cultural and legal nuances of operating across EMEA. Ability to design organisational structures and processes that scale beyond individual heroics.Ability to drive consensus across Sales, Customer Success, and Product teams to ensure regional goals are met.Data-driven: Proficiency in using PSA and CRM data to identify trends, forecast revenue, and justify headcount investment.Bachelor’s degree in a technical or business field; MBA highly preferred, given the heavy focus on business operations and P&L management. * Experience working with offshore and nearshore partner models * Experience creating and leveraging Salesforce/Certinia professional services booking forecasts, resource planners and utilisation reports to analyse regional business. * Experience with Gong and Tableau Reporting tools preferred.   Why Join Neo4j? Neo4j is, without question, the most popular graph intelligence platform in the world. We have customers in every industry globally, and our products are a proven product/market fit. Joining our team is an opportunity to shape the future of data and analytics. Below are just a few exciting facts about Neo4j.  * Neo4j is one of the fastest-scaling technology companies in this industry. It recently surpassed $200M in annual recurring revenue (ARR), doubling its ARR over the past three years.  * Raised the biggest funding round in database history ($325M Series F). Backed by world-class investors like Eurazeo, GV (formerly Google Ventures), and Inovia Capital, Neo4j has raised over $600M in funding and is currently valued at over $2Bn. This puts Neo4j among the most well-funded database companies in history. * 84% of the Fortune 100 and 58% of the Fortune 500 use Neo4j. Examples include Boston Scientific, BT Group, Caterpillar, Cisco, Comcast, Department for Education UK, eBay, NBC News, Novo Nordisk, Worldline, and others.  * Co-founder and CEO Emil Eifrem has built an amazing culture that prides itself on relationships, inclusiveness, innovation, and customer success. * Countless industry awards. Massive enterprises and individual developers/data scientists love Neo4j. A strong sense of community and ecosystem is built around the platform. * A recent Forrester Total Economic Impact™ Study cited Neo4j as delivering 417% ROI to customers.  Research shows that members of underrepresented communities are less likely to apply for jobs when they don’t meet all the qualifications. If this is part of the reason you hesitate to apply, we’d encourage you to reconsider and give us the opportunity to review your application. At Neo4j, we are committed to building awareness and helping to improve these issues.  One of our central objectives is to provide an inclusive, diverse, and equitable workplace for everyone to develop their potential and have a positive, career-defining experience. We look forward to receiving your application. Neo4j Values: Neo4j is a Silicon Valley company with a Swedish soul. We foster collaboration and each of us is empowered to contribute and put our innovative stamp on projects. We hire candidates who reflect the following Neo4j core values: (we)-[:VALUE]->(relationships) (we)-[:FOCUS_ON]->(userSuccess) (we)-[:THRIVE_IN]->(:Culture {type: [‘Open’, ‘Inclusive’]}) (we)-[:ASSUME]->(:Intent {direction:’Positive’}) (we)-[:WELCOME]->(:Discussions {nature: ‘IntellectuallyHonest’}) (we)-[:DELIVER_ON]->(ourCommitments)  Neo4j is committed to protecting and respecting your privacy. Please read the privacy notice regarding Neo4j's recruitment process to understand how we will handle the personal data that you provide.  More information at www.neo4j.com.   ©2026 Neo4j, Inc., Neo Technology®, Neo4j®, Cypher®, Neo4j Bloom™, Neo4j Graph Data Science Library™, Neo4j® Aura™, and Neo4j® AuraDB™ are registered trademarks or a trademark of Neo4j, Inc. All other marks are owned by their respective companies.

Stripe

ABOUT STRIPE Stripe is a financial infrastructure platform for businesses. Millions of companies from the world's largest enterprises to the most ambitious startups use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. ABOUT THE TEAM The Finance & Strategy (F&S) team serves as the strategic engine and financial steward of Stripe's businesses, connecting financial rigour with business judgment to drive sound capital allocation and accountability across the company.   The Group Business Finance & Strategy team partners with some of Stripe's largest internal business organizations, driving planning, investment prioritization, and operational discipline across headcount and non-headcount spend. The team is responsible for financial reporting, business performance management, and driving the planning and forecasting processes that enable sound decision-making at the most senior levels of the organization.   This role sits within F&S Bengaluru, a high-impact team whose mission is to enable F&S to "Grow for Free", driving process efficiency, centralization, and resource optimization so that senior F&S partners can focus on higher-order strategic work. ABOUT THE ROLE We are hiring a Financial Analyst for Group Business F&S to build, standardize, and scale the reporting, planning, and process excellence functions that support Group Business Finance & Strategy. This role covers the full spectrum of Group Business F&S financial operations including headcount reporting and analytics, month end close accruals, opex reporting and BvA, business review preparation, and forward-looking planning cycles.   The immediate and primary mandate is to establish a clean, consistent, and automated reporting foundation across Group Business F&S, bringing discipline and rigor to how financial and workforce data is tracked, packaged, and presented to F&S leadership.   This is a strong FP&A and Corporate Finance profile. You thrive in building structured processes from the ground up, have a sharp eye for data quality, and bring a standardization and automation-first mindset to everything you touch. You are comfortable working independently, managing a large volume of recurring deliverables with accuracy and timeliness, and continuously improving the processes behind them.   As you establish the reporting foundation, you will have the opportunity to take on broader scope including owning forecast line items, driving planning cycle inputs, and contributing to more strategic finance work within Group Business F&S. WHAT YOU'LL DO REPORTING AND ANALYTICS: * Own end-to-end delivery of the monthly and quarterly reporting packages for Group Business F&S, including headcount actuals, opex BvA (budget vs. actual), forecast variance commentary, and trend analysis for MBRs, RTBRs, and board-level reviews * Design, build, and maintain standardized dashboards and data packs that give F&S leadership a clear, consistent, and audit-ready view of Group Business F&S financial and workforce health across planning orgs, cost centers, functions, and geographies * Own headcount reporting and analytics as a core component of the Group Business F&S reporting suite, tracking HC actuals, variances, and trends alongside broader financial metrics * Establish a single source of truth for Group Business F&S data by driving cross-system integrity across Workday, planning systems, and Oracle, defining data quality standards and owning resolution of discrepancies * Translate financial and workforce data into clear, concise narratives that explain variances, surface risks, and connect business trends to financial outcomes for senior leaders * Automate and streamline recurring reporting workflows, eliminating manual steps and building for scale and consistency PLANNING AND FORECASTING: STRATEGIC OWNERSHIP * Support the annual budget and quarterly forecast processes for Group Business F&S, maintaining and updating financial and HC models by planning org and cost center in Anaplan or any other enterprise planning system * Over time, take ownership of specific forecast line items within Group Business F&S, building bottoms-up models that incorporate headcount, opex, requisitions, backfill decisions, attrition assumptions, and hire-ahead activity * Build scenario models to support F&S leadership in assessing the financial and operational impact of business and workforce decisions across Group Business F&S PROCESS EXCELLENCE AND STANDARDIZATION * Lead the documentation and standardization of reporting and planning processes across Group Business F&S, building SOPs, data dictionaries, and process playbooks that ensure consistency, continuity, and auditability * Identify inefficiencies across reporting and planning workflows and drive automation initiatives that reduce cycle time and improve output quality * Champion process improvement opportunities within F&S Bengaluru, bringing proposals to F&S leadership for prioritization and resourcing * Mentor and guide junior analysts in F&S Bengaluru on reporting standards, analytical rigor, and process discipline   WHO YOU ARE We're looking for someone who meets the minimum requirements listed below. The preferred qualifications are a bonus, not a requirement. MINIMUM REQUIREMENTS * 7–14 years of progressive experience in FP&A, Corporate Finance, or financial analysis, with meaningful hands-on experience in financial reporting, planning, and process standardization * Bachelor's degree in Finance, Accounting, Economics, Business, or a related field * Strong FP&A fundamentals: you have owned reporting cycles, built and maintained financial models, and managed budget and forecast processes with precision and without supervision * Proven track record of building and standardizing reporting processes, with a demonstrated ability to bring structure, consistency, and automation to previously manual or fragmented workflows * Experience in headcount reporting and workforce analytics as part of a broader FP&A or Corporate Finance remit * Command of enterprise planning systems such as Anaplan or any equivalent tool for financial and headcount planning; working knowledge of Workday for position and people data is an advantage * Advanced Excel and Google Sheets skills, including integrated model design, scenario modeling, and large-dataset manipulation * Demonstrated ability to translate complex financial and workforce data into clear, concise narratives for senior leaders * Strong process orientation with a history of building scalable, structured processes in ambiguous or resource-constrained environments * High attention to detail with the discipline to maintain accuracy across high-volume, recurring deliverables under tight deadlines * Excellent written and verbal communication skills with the ability to work effectively across time zones and with US-based counterparts PREFERRED QUALIFICATIONS * Experience in a Finance & Strategy, FP&A, or Corporate Finance function at a high-growth technology or fintech company * Hands-on experience building planning models in Anaplan or any other enterprise planning system (model design and configuration, not just data entry) * Proficiency in SQL or data visualization tools (Tableau, Looker, Hubble, or similar) for building self-service reporting and analytics * Familiarity with payroll-to-finance reconciliation, headcount-to-opex bridging, and how HC flows into the P&L * Experience leading process standardization or automation initiatives within an FP&A or centralized finance team * Exposure to company-wide planning processes including annual planning cycles, board reporting, and forecast submissions * MBA or professional certifications (CA, CMA, CFA, CPA, CPIM etc.)

ABB AB

At ABB, we help industries run leaner and cleaner—and every person here makes that happen. You’ll be empowered to lead, supported to grow, and proud of the impact we create together. Join us and help run what runs the world. This position reports to: R&D Team Lead__ Your Role and Responsibilities Are you ready to take the next step in your R&D career and help drive innovation within one of the world’s leading technology companies? As R&D Scientist, you will become a part of the Power Electronics & Applications team at ABB Corporate Research in Västerås, Sweden. ABB's Corporate Research serves as the innovation engine, ensuring our technological leadership both now and in the future. We work closely with other research centers, business areas (Motion, Automation, Electrification), and academic and industrial partners. Within our creative and highly skilled team, we design, build, and validate novel concepts and prototypes for both physical and digital systems. Our work covers the entire chain, including electric energy sources, grid-connected converters, electric motors and drives. As part of this role, you’ll report to the R&D Team Manager, actively collaborating on and driving the execution of exciting R&D projects. To thrive in this position, a positive and structured mindset, a solid technical background, and genuine enthusiasm for leveraging our highly advanced simulation and experimental facilities are essential. This regular employment opportunity serves as an excellent starting point for an engaging career within ABB. Key Responsibilities Lead and drive R&D initiatives from idea to validated concept, including defining scope, collaborating with key stakeholders, and sharing results. Develop and validate innovative solutions in applied power electronics, through high-fidelity modeling of power electronics and control strategies, as well as hands-on design and construction of experimental test setups in our laboratories. Explore and challenge conventional approaches, scouting new technologies and concepts while contributing to the development of digital solutions for ABB’s future portfolio. Our Team Dynamics Our teams support each other, collaborate, and never stop learning. Everyone brings something unique, and together we push ideas forward to solve real problems. Being part of our team means your work matters - because the progress we make here creates real impact out there. Qualifications for the role PhD in power electronics, electrical engineering, applied mathematics, or an MSc combined with substantial relevant industry or research experience, with a strong theoretical foundation and hands-on expertise in power electronics topologies, control, and applications (e.g., grid-connected converters, energy storage, Electric motor drives). Proficiency in the design, modeling, simulation, and optimization of power converters and drives, including experience in condition monitoring and diagnostics of the systems. Strong experimental and analytical skills, with proven ability to design and implement test setups, plan and conduct experiments, analyze results, and clearly document findings. Knowledge of data-driven methods, machine learning, and advanced modeling techniques is considered a strong plus, especially for applications in predictive modeling, condition monitoring, and the optimization of systems. A collaborative and results-driven mindset, enabling effective cooperation across R&D teams and business stakeholders, combined with the initiative and leadership needed to deliver high-quality results on time and within budget. What’s in it for you? We empower you to take initiative, challenge ideas, and lead with confidence. You’ll grow through meaningful work, continuous learning, and support that’s tailored to your goals. Every idea you share and every action you take contributes to something bigger. ABB provides competitive benefits, ask us! More about us  Recruiting Manager Omer Ikram ul Haq, +46 (73) 066 06 22, will answer your questions about the position. Union representatives – Sveriges Ingenjörer: Carl-Fredrik Lindberg, +46 70 691 10 80; Unionen: Katja Saari, +46 730 77 05 02; Ledarna: Lenny Larsson, +46 706 32 85 47. All other questions can be directed to Talent Partner Robert Noren, +46 72 461 20 95. We look forward to reading your application in PDF format. Last day to apply is August 10. Please note that the interview process is ongoing, apply now to secure your spot in the recruitment process! Please note that to be eligible for employment at ABB Sweden, you will need to pass our pre-employment screening steps. This includes a reference check, a drug test, and could also include an extended background check. Building a cleaner, smarter future takes all kinds of minds: the curious, the courageous, and the creative. That's why we welcome people from all backgrounds and experiences. Ready to make an impact? Apply today or visit https://www.abb.com to learn more about the impact of our solutions across the globe.

ABB AB

At ABB, we help industries run leaner and cleaner—and every person here makes that happen. You’ll be empowered to lead, supported to grow, and proud of the impact we create together. Join us and help run what runs the world. This position reports to: R&D Team Lead__ Your Role and Responsibilities Are you ready to take the next step in your R&D career and help drive innovation within one of the world’s leading technology companies? As R&D Scientist, you will become a part of the Power Electronics & Applications team at ABB Corporate Research in Västerås, Sweden. ABB's Corporate Research serves as the innovation engine, ensuring our technological leadership both now and in the future. We work closely with other research centers, business areas (Motion, Automation, Electrification), and academic and industrial partners. Within our creative and highly skilled team, we design, build, and validate novel concepts and prototypes for both physical and digital systems. Our work covers the entire chain, including electric energy sources, grid-connected converters, electric motors and drives. As part of this role, you’ll report to the R&D Team Manager, actively collaborating on and driving the execution of exciting R&D projects. To thrive in this position, a positive and structured mindset, a solid technical background, and genuine enthusiasm for leveraging our highly advanced simulation and experimental facilities are essential. This regular employment opportunity serves as an excellent starting point for an engaging career within ABB. Key Responsibilities Lead and drive R&D initiatives from idea to validated concept, including defining scope, collaborating with key stakeholders, and sharing results. Develop and validate innovative solutions in applied power electronics, through high-fidelity modeling of power electronics and control strategies, as well as hands-on design and construction of experimental test setups in our laboratories. Explore and challenge conventional approaches, scouting new technologies and concepts while contributing to the development of digital solutions for ABB’s future portfolio. Our Team Dynamics Our teams support each other, collaborate, and never stop learning. Everyone brings something unique, and together we push ideas forward to solve real problems. Being part of our team means your work matters - because the progress we make here creates real impact out there. Qualifications for the role PhD in power electronics, electrical engineering, applied mathematics, applied mathematics, or a related field, or an MSc combined with substantial relevant industry or research experience, with a strong theoretical foundation in modeling, control, and system analysis of power electronic systems. Strong expertise in modeling, simulation, and optimization of power converters, drives, and electric machines, including loss analysis, advanced control algorithms, and system-level efficiency improvements. Hands‑on experience with experimental motor‑control platforms, including inverter design, real‑time control implementation (e.g., dSPACE, OPAL‑RT, TI C2000), measurement of losses and efficiency, and diagnostic techniques for motors and drives. Solid experimental and analytical skills, including the ability to design experiments, work with measurement data, validate models against experimental results, and document findings in a structured and clear manner. Knowledge of data-driven methods, machine learning, and advanced modeling techniques is considered a strong plus, especially for applications in predictive modeling, condition monitoring, and the optimization of motor-drive systems. A collaborative and results-driven mindset, enabling effective cooperation across R&D teams and business stakeholders, with the initiative to take ownership and deliver high-quality results on time and within budget. What’s in it for you? We empower you to take initiative, challenge ideas, and lead with confidence. You’ll grow through meaningful work, continuous learning, and support that’s tailored to your goals. Every idea you share and every action you take contributes to something bigger. ABB provides competitive benefits, ask us! More about us  Recruiting Manager Omer Ikram ul Haq, +46 (73) 066 06 22, will answer your questions about the position. Union representatives – Sveriges Ingenjörer: Carl-Fredrik Lindberg, +46 70 691 10 80; Unionen: Katja Saari, +46 730 77 05 02; Ledarna: Lenny Larsson, +46 706 32 85 47. All other questions can be directed to Talent Partner Robert Norén +46 72 461 20 95. We look forward to reading your application in PDF format. Last day to apply is August 10. Please note that the interview process is ongoing, apply now to secure your spot in the recruitment process Building a cleaner, smarter future takes all kinds of minds: the curious, the courageous, and the creative. That's why we welcome people from all backgrounds and experiences. Ready to make an impact? Apply today or visit https://www.abb.com to learn more about the impact of our solutions across the globe.

Neo4j

About Neo4j: Neo4j is the graph intelligence platform that transforms data into knowledge to power the next generation of intelligent applications and AI systems. It includes enterprise-ready knowledge graphs for accurate, explainable, and governed AI; the most comprehensive, trusted, and easy-to-deploy graph capabilities across any environment and data source; and an unmatched ecosystem trusted by 84 of the Fortune 100 and supported by the world’s largest graph community. Intelligence that works. Results that matter. Built to work everywhere and integrate with everything across every cloud for dynamic, personalized, and autonomous AI systems. We deliver quicker results, contextual knowledge, and solutions that impact customers and employees across the business. Our Vision:  At Neo4j, we have always strived to help the world make sense of data.   As business, society and knowledge become increasingly connected, our technology promotes innovation by helping organizations to find and understand data relationships. We created, drive and lead the graph database category, and we’re disrupting how organizations leverage their data to innovate and stay competitive. At Neo4j, our Solution Engineers are pivotal to our company’s success. As a member of our regional go-to-market team, you will partner with our sales executives, working closely with clients to showcase how the Neo4j Graph Intelligence Platform addresses their critical business needs.  Neo4j Solution Engineers play a central, hands-on role as clients consider and evaluate Neo4j technology, and support customers in an advisory capacity throughout their journey to value realization.  SE’s work with organizations across industries such as Financial Services, Telecommunications, Technology and Life Sciences understand the business and technical value of representing data using Neo4j graph database and analytics technology. You will grow as a thought leader in graphs and solve our customers’ high-value problems beyond traditional data solutions. What Success Looks Like: * Developing and honing subject matter expertise to effectively discern and understand the true needs of our customers, present technology solutions that target those needs, and all in all, demonstrate thought leadership and the value of Neo4j through platform and use case demonstrations, solution architecting, workshops, and conferences. * Meeting and exceeding regional revenue goals, as a result of helping Sales to qualify and validate opportunities from a technical perspective and accelerate the sales cycle and adoption of Neo4j. * Collaborating effectively with Sales, Professional Services, Partners, Product Management, etc to deliver continuous value to customers and ensure a seamless customer experience as they embark on the graph journey. What You’ll Do: * Confidently articulate the business and technical value of Neo4j to customers and prospects as a key technical advisor and advocate for our products and services * Actively drive and run the technology evaluation stage of the sales cycles. * Work across a number of opportunities in parallel and manage day-to-day activities such as opportunity qualification, technical discovery, presentations, platform and use case demonstrations, proof of value, sizing, and documentation of technical decision criteria. * Build and nurture rapport with customer stakeholders at all levels and be the trusted advisor to them to help them understand what they can achieve with Neo4j. * Co-create reference and solution architectures with our customers, including integrating Neo4j with their existing architecture and applications within a public cloud (AWS, Azure, or GCP) or on-premise environment. * Stay current on latest Neo4j capabilities, including but not limited to usage and integration with third-party tools and services. * Distill and communicate customer needs and product feedback to Product Management, Engineering, Marketing, and Sales. * Help drive demand through the participation in account-based marketing events as well as industry-known conferences and trade shows. * Lead by example and actively foster an environment of teamwork, transparency, creativity, and continuous improvement. * Travel as needed to assist in deal creation and closure, and provide support to your team as required. What You’ll Bring: * 5+ years of customer-facing experience in a similar capacity (Sales/Presales/Solutions Engineer, Solutions Architect, Technical Consultant, etc), ideally in a similar high-growth, scaling environment. * Experience working with different data technologies in either of the following areas: enterprise data architecture, data analytics, data science or cloud data architecture. * Familiarity with graph data technology is essential.  Working knowledge of Neo4j is a strong plus! * Hands-on experience and proficiency with relational (SQL) and/or NoSQL databases, and at least one of the following languages: Python, Java, JavaScript, Go, C#. * Successful track record in designing, developing, and implementing data solutions in the public cloud (AWS, Azure, or GCP) or on-premise. * Ability to engage and communicate ideas to both technical and non-technical audiences at all levels through presentations, whiteboarding, and platform demonstrations. * Technical savviness and business acumen to translate technical concepts and patterns into valuable business outcomes. * Passion for learning new technologies (especially graphs!), developing new ways of data modeling, and spearheading change management. * An entrepreneurial mindset, with the ability to prioritize, pivot, and problem-solve. The annual on target earnings range for this position based in the United States is listed below. This range is an estimate, and the actual on target earnings may vary based on Neo4j’s compensation practices, job related skills, depth of experience, relevant certifications and trainings, in addition to geographic location. Based on the factors above, Neo4j utilizes the full width of the range. In addition to the range below, US employees are eligible for a stock option grant and certain roles are eligible for an annual bonus. Employees in this position are also eligible to participate in the Company’s standard benefit programs, which currently include the following: medical, dental, and vision benefits, 401(k), paid time off, and certain leaves of absence. Annual On Target Earnings Range $200,000—$265,000 USD Why Join Neo4j? Neo4j is, without question, the most popular graph intelligence platform in the world. We have customers in every industry globally, and our products are a proven product/market fit. Joining our team is an opportunity to shape the future of data and analytics. Below are just a few exciting facts about Neo4j.  * Neo4j is one of the fastest-scaling technology companies in this industry. It recently surpassed $200M in annual recurring revenue (ARR), doubling its ARR over the past three years.  * Raised the biggest funding round in database history ($325M Series F). Backed by world-class investors like Eurazeo, GV (formerly Google Ventures), and Inovia Capital, Neo4j has raised over $600M in funding and is currently valued at over $2Bn. This puts Neo4j among the most well-funded database companies in history. * 84% of the Fortune 100 and 58% of the Fortune 500 use Neo4j. Examples include Boston Scientific, BT Group, Caterpillar, Cisco, Comcast, Department for Education UK, eBay, NBC News, Novo Nordisk, Worldline, and others.  * Co-founder and CEO Emil Eifrem has built an amazing culture that prides itself on relationships, inclusiveness, innovation, and customer success. * Countless industry awards. Massive enterprises and individual developers/data scientists love Neo4j. A strong sense of community and ecosystem is built around the platform. * A recent Forrester Total Economic Impact™ Study cited Neo4j as delivering 417% ROI to customers.  Research shows that members of underrepresented communities are less likely to apply for jobs when they don’t meet all the qualifications. If this is part of the reason you hesitate to apply, we’d encourage you to reconsider and give us the opportunity to review your application. At Neo4j, we are committed to building awareness and helping to improve these issues.  One of our central objectives is to provide an inclusive, diverse, and equitable workplace for everyone to develop their potential and have a positive, career-defining experience. We look forward to receiving your application. Neo4j Values: Neo4j is a Silicon Valley company with a Swedish soul. We foster collaboration and each of us is empowered to contribute and put our innovative stamp on projects. We hire candidates who reflect the following Neo4j core values: (we)-[:VALUE]->(relationships) (we)-[:FOCUS_ON]->(userSuccess) (we)-[:THRIVE_IN]->(:Culture {type: [‘Open’, ‘Inclusive’]}) (we)-[:ASSUME]->(:Intent {direction:’Positive’}) (we)-[:WELCOME]->(:Discussions {nature: ‘IntellectuallyHonest’}) (we)-[:DELIVER_ON]->(ourCommitments)  Neo4j is committed to protecting and respecting your privacy. Please read the privacy notice regarding Neo4j's recruitment process to understand how we will handle the personal data that you provide.  More information at www.neo4j.com.   ©2026 Neo4j, Inc., Neo Technology®, Neo4j®, Cypher®, Neo4j Bloom™, Neo4j Graph Data Science Library™, Neo4j® Aura™, and Neo4j® AuraDB™ are registered trademarks or a trademark of Neo4j, Inc. All other marks are owned by their respective companies.

Truecaller

Join Truecaller – The place where innovation meets impact! Truecaller's mission is to build trust in communication by making it safer, smarter, and more efficient. Born in Sweden, trusted by the world, and here’s why we stand out: * We are trusted by over 450 million active users every month across 190+ countries * We identify over 15 billion calls daily, helping users avoid spam and scams * We are powered by a team of 450+ employees from 45+ nationalities We always look for people who take initiative, own their work, and keep raising the bar. An entrepreneurial mindset matters here, especially when it turns bold ideas into real actions. We stay collaborative and focused, always searching for smarter paths forward. If you want to make an impact and grow with a team that inspires millions, you’ll fit right in. The role: As a Senior ML Engineer, you'll play a central role in building the data science behind the products — from framing new fraud, risk, and intelligence problems, to designing and deploying ML models at scale, to helping our enterprise customers and go-to-market teams understand and act on the insights we generate. What you’ll do:  * Design, build, and continuously improve the ML models that power our risk and intelligence products, and take ownership of new signals as they get scoped. * Take a loosely defined business or customer problem and break it into a clear data problem, articulating value, impact, and complexity before proposing a solution. * Build anomaly detection, fraud, and risk-modeling approaches — including network/graph-based methods — that keep our signals accurate and resistant to adversarial behaviour. * Own model development, deployment, and monitoring end-to-end, partnering with ML/data engineers on scalability, reliability, cost, and dashboards/alerting. * Design and run experiments (A/B tests, offline customer POCs) to validate new signals before they roll into production. * Manage and analyse large, multi-country datasets, ensuring data integrity, consistency, and compliance throughout. * Partner cross-functionally with Product, Engineering, Legal, and GTM/Sales to scope, prioritise, and ship data products on time, acting as a trusted advisor on what the data can and can't responsibly support. What you bring in:  * 5+ years of experience designing, building, and deploying ML models at scale, ideally including risk/fraud, propensity, or behavioural/network scoring use cases. * Strong grounding in applied machine learning: classification, anomaly detection, propensity/scoring models, clustering, and time-series/drift monitoring. * Exposure to graph-based analysis or graph ML (network embeddings, community detection, link prediction) is a plus. * Hands-on experience taking models from research/experimentation into production — comfortable owning scalability, reliability, and monitoring, not just model accuracy. * Working knowledge of NLP and LLM-based techniques (prompting, summarisation, fine-tuning) — useful for customer-facing AI insights and on-device text/SMS signal extraction. * Proficiency in Python and the ML/data stack: Pandas, NumPy, Scikit-learn, TensorFlow or PyTorch; comfortable with Hugging Face Transformers where relevant. * Strong SQL skills and experience with large-scale data processing (BigQuery, Spark/PySpark, Hive/Kafka ecosystem). * Familiarity with database modelling and data warehousing principles. * Ability to design, run, and interpret experiments and statistical tests to validate model and business impact. * Strong communication skills — able to explain model output and trade-offs to both engineering peers and non-technical enterprise stakeholders. * Comfort operating with a strong privacy/compliance mindset — Truecaller's data products are built on abstracted, privacy-safe signals, and you'll need to reason carefully about what can and can't be derived or stored. It would be great if you also have: * Experience with graph databases (e.g. Neo4j) or large-scale graph processing frameworks. * Experience with ML lifecycle tools (Kubeflow, MLflow) and on-device/edge ML deployment. * Familiarity with Google Cloud Platform (GCP) and BigQuery. * Prior experience in fraud/risk scoring, credit/alternate-data, or contact-centre/dialer analytics domains. * Experience working with data resellers, credit bureaus, or enterprise data partners on integrating and explaining model output. What we offer:  We support growth through learning resources, leadership programs, mentoring, and real hands-on work. People can move between teams and projects to build new skills and keep things interesting. We offer clear internal mobility and a transparent path for progression, with leaders who stay involved and provide guidance throughout the year. In addition, you will benefit from: * A comprehensive compensation package:  Learning and development allowance, voluntary provident fund (VPF) and/or national pension scheme (NPS) tax saving option provided, creche allowance * Modern tools to do your best work: Choose your preferred computer and phone within our budget, so you can work comfortably and efficiently. * A people-focused office culture: We value in-person collaboration and follow an office-first model, with some flexibility. Our offices offer a vibrant environment with opportunities to learn, connect, and recharge, from breakfast, lunch and quiet spaces to team activities such as movie nights, tech meetups, and cultural events. There's something for everyone. * Truecaller’s “Lab Days” offer a space for imagination: 5 days each quarter, where everyone steps away from their normal tasks to explore new, bold ideas and build things they’ve always wanted to. It’s a space where curiosity leads the way, and prototypes take shape. Some concepts even make it into production, and a few have grown into real features used by millions today. Lab Days allow you to be creative, learn fast, and help shape Truecaller's future. Come as you are: Truecaller is committed to building a diverse and inclusive team. We believe that a wide range of backgrounds, perspectives, and experiences strengthens our products and our culture. No matter where you're from, what language you speak, or how you identify,  we value what makes you unique and would love to get to know you.  Sounds like a great opportunity? We will fill the position as soon as we find the right candidate, so please send your application as soon as possible. As part of the recruitment process, we will conduct a background check. We only accept applications in English.

Volvo Personvagnar Aktiebolag

Company description: Who are we?Volvo Cars is a company on a mission; to bring traditional car manufacturing into a connected, sustainable and smart future.Since 1927, we have been a brand known for our commitment to safety, creating innovative cars that make life less complicated for our consumers. In 2010, we decided to transform our business, resulting in a totally new generation of cars and technologies, as well as steady growth and record sales. Today, we’re expanding our global footprint in Europe, China and the US, and we’re on the lookout for new talent. We are constantly pushing our own skills and abilities to drive change in the automobile industry like never before. We are looking for innovative, committed people to join us in this endeavour and create safe, sustainable and connected cars. We believe in the power of people and will challenge and support you to reach your full potential. Join us and be part of Volvo Cars’ journey into the future. Job description: Let's introduce ourselves The Engineering Data Hub at Volvo Cars accelerates the use of data, analytics, and AI. Our cross‑functional team of data, software, and machine learning engineers combines technical expertise with a collaborative mindset to transform large‑scale vehicle data into actionable insights. We support the development of new products, functions, and services by analyzing complex data sources, building machine‑learning models, developing scalable cloud pipelines, creating intuitive visualizations, and create Generative AI products.    Our culture focuses on learning, inclusion, and achieving success together!   What you'll do As a data scientist, you will turn data into meaningful insights using analytics and machine learning techniques. You are comfortable working independently on innovative projects to require, amongst others, to design, train and evaluate models to analyze sensor signals and other engineering data.   You will collaborate closely with other data scientists and data engineers across different disciplines. You’ll contribute by sharing your knowledge and learning from others as you help evolve our methods, tools, and best practices.   This role suits someone who enjoys building, exploring, and delivering high‑quality analysis that drives real impact.  What you'll bring You have a strong quantitative background, with a Master’s in Statistics, Mathematics, Data Science, Computer Science, or a related field, along with 3+ years of experience in a data science or similar role. You have experience in all stages of data science projects: framing questions, analyzing data, modeling, interpreting results, and communicating insights.   You may have experience in several of the following areas (you do not need to meet all of them):  Experience with Python and aware of software and data engineering practices for production systems  Familiar with the standard data science toolkit (e.g., pyspark, Pandas, Scipy, Numpy etc.)  Experience building data pipelines on platforms such as Databricks or Snowflake  Understanding and experience applying in statistical modeling, inference, time-series analysis, and machine learning algorithms  Understanding of CI/CD principles, particularly for data or ML pipelines  Experience with developing generative AI or LLM-based applications     Beneficial to have: Familiar with front-end development (e.g., Streamlit or React)  Experience with cloud-environments ‑ (preferably Azure)  Automotive or mechatronic domain knowledge    We value how you collaborate as much as your technical skills. You should approach problems with curiosity and creativity as well as communicate clearly with both technical and non‑technical colleagues. You would take ownership and follow through as well as open discussions and multidisciplinary teamwork.

PostNord Group AB

Forecasting sits at the heart of how PostNord runs - every volume we plan for, every route we optimize, every shift we staff starts with a forecast. We're now strengthening our Forecasting team and looking for a Senior Data Scientist to be a central pillar in building something stronger. This is a senior individual-contributor role. The team already has a Tech Lead and a Product Owner, so you won't be carrying out the roadmap or line management. Instead, your seniority shows up in the quality of your models, the judgement behind your decisions, and your ability to lift the people around you. Join us The Technology Acceleration area within Group IT is responsible for establishing the future IT landscape - the foundation for PostNord's continued AI- and data-driven journey. In the Forecasting team you'll combine deep machine learning craft with real business understanding to deliver forecasts that operations actually trust and act on, across the logistics domain. You won't just build models. You'll help decide where forecasting creates the most value, what's worth improving, and what's better rebuilt from scratch. Job duties Develop, improve, and maintain forecasting models for core logistics use cases - volumes, routes, staffing, and beyond. Evaluate what we already run and make pragmatic calls: optimize, replace, or redesign from the ground up. Get close to the operation - translate messy operational reality and business challenges into robust, scalable forecasting solutions. Ensure that the forecast holds up in production: data quality, feature engineering, and reconciling planning horizons and cadences. Collaborate with data engineers, domain teams, and the wider analytics community on our Databricks platform. Raise the bar around you - share knowledge, mentor colleagues, and help establish forecasting and model-lifecycle best practices. Communicate insight, trade-offs, and uncertainty clearly to both technical and non-technical stakeholders. Extensive experience as a Data Scientist with a strong focus on machine learning and forecasting, and a track record of models running in production. Strong grounding in time-series modelling, statistical methods, and modern ML approaches. Strong programming skills in Python and SQL. Experience with modern data platforms - Databricks is highly relevant. A genuine ability to connect technical solutions to business impact, and the maturity to work hands-on while helping shape technical direction alongside the Tech Lead and Product Owner. Strong collaboration and communication skills. Meritorious experience Experience in logistics, supply chain, or other operational forecasting domains - though we equally value strong forecasting craft brought in from any data-heavy domain. Probabilistic forecasting, hierarchical forecasting, or optimization. MLOps practices and model lifecycle management. Scaling models in cloud environments, preferably Azure. Experimentation frameworks and model evaluation techniques. Mentoring or informally leading other data scientists. Comfort working in an engineering organization that leans heavily on AI tooling to move faster. Language requirement Fluent English in speech and writing. Proficiency in at least one Scandinavian language is meritorious. Why this role matters Better forecasts mean better decisions - fewer surprises in the network, smarter staffing, and capacity planned where it's needed. As a senior member of the team, you'll be a key reason our forecasting capability gets stronger, faster, and more trusted across the business. Your profile You're a senior, mature data scientist who pairs technical excellence with a strong business mindset. You're pragmatic - able to improve what exists and know when to start over. You're comfortable engaging directly with stakeholders, and you instinctively lift the people around you without needing a title to do it. Most of all, you want to help build something stronger: a high-performing forecasting team that delivers real operational impact at scale. We offer A cutting-edge analytics environment built on Databricks and Azure A central role in accelerating PostNord's AI- and data-driven journey The freedom to shape how forecasting is done at scale in a leading logistics company Apply Welcome with your application! We encourage you to apply as soon as possible, as we review applications on an ongoing basis. Please note that due to the summer holiday period, the earliest feedback will be provided in mid-August. PostNord offers communications and logistics solutions to, from and within the Nordic region. With our expertise and a unique distribution network, we are developing the basis for tomorrow’s communication, e-commerce, distribution and logistics.

CHALMERS TEKNISKA HÖGSKOLA AKTIEBOLAG

We are seeking an ambitious applied researcher who wants to work at the forefront of data-driven nutrition and health. This is a unique opportunity to bridge mathematics, statistics, AI, and biomedical research in a highly interdisciplinary research environment. About us Fraunhofer-Chalmers Centre (FCC) is a leading research centre in industrial mathematics, modelling, simulation, optimisation, and data analytics. We operate at the interface between academic research and industrial needs, often in interdisciplinary projects where mathematics, data, and domain expertise meet. Together with the nutrition research group led by Professor Rikard Landberg at Chalmers University of Technology, we conduct advanced research in data-driven nutrition, health, and food science. With large-scale diet and health data, omics data, biomarkers, digital food and health services, we establish predictive models for evaluation of the role of diet in health and disease and establish personalized dietary strategies for more effective disease prevention. In many cases, the work involves time series data, dynamic processes and phenomena, where both methods and interpretation must account for temporal dynamics. Data typically comes from intervention studies conducted in Gothenburg and or from large cohorts and biobanks from international collaborators. To secure and further develop this important collaboration, we are now recruiting an applied researcher with a strong quantitative profile and interest in nutrition, health, or medicine. Your role As an applied researcher in this area, you will: Act as a key person in the collaboration between FCC and the nutrition research group at Chalmers. Lead and conduct research projects in data-driven nutrition, such as:analysis of time series data and dynamic processes, where signals and responses evolve over time. statistical modelling, AI, and machine learning on large epidemiological cohorts, diet and health data analysis of omics data (metabolomics, proteomics, microbiome, etc.) development of predictive dynamical models and digital decision-support tools for nutrition and health method development in causal inference, integration of heterogeneous data sources, uncertainty quantification Work with a wide range of data types, for example dietary records, biomarkers, omics data, registry data, and sensor data such as CGM measurements (continuous glucose monitoring), activity trackers, and other wearable sensors. Serve as a bridge between domain researchers (nutrition, medicine, food science) and quantitative experts (mathematics, statistics, AI&ML, systems engineering). Supervise, collaborate, and support PhD students and postdocs involved in joint projects. Your profile We are looking for someone who: Holds a PhD in Applied Mathematics, Mathematical Statistics, Automatic Control, Signal Processing, Systems Engineering, Data Science, or a related field. Has experience in data-driven research, preferably related to biomedicine, nutrition, epidemiology, food science, or public health. Is proficient in modern statistical modelling, AI & machine learning methods (e.g. system identification, regression models, mixed-effects modeling, Bayesian methods, deep learning, variational autoencoders, generative AI). Is an experienced programmer in R and/or Python, and used to working with large datasets and reproducible analysis workflows. Enjoys working in interdisciplinary environments and is curious about understanding biological/nutritional research questions in depth. It is meritorious if you also: Have experience working with cohort data, registry data, clinical studies, or omics data. Have previously worked in projects involving both academic and industrial/external partners. Have experience supervising PhD students, postdocs, or junior researchers. Can communicate in both Swedish and English; excellent English is required. What we offer With us, you will: Have a unique opportunity to combine advanced quantitative and data-driven methods with cutting-edge research in biomedicine, nutrition, and health. Work in a strong and long-term collaboration between Fraunhofer-Chalmers Centre and Chalmers division of Food and Nutrition Science, with access to both international academic and industrial networks. Influence the direction of a strategically important initiative in data-driven nutrition and health. Be part of a creative, collaborative, and international research environment with good opportunities for personal and scientific development. Employer: Fraunhofer-Chalmers Research Centre for Industrial Mathematics (Fraunhofer-Chalmers Centre, FCC)   Employment: according to agreement   Location: Gothenburg, Sweden   Department: Systems and Data Analysis (in close collaboration with Chalmers)   Application procedure The application should be written in English and attached as PDF-files, containing as specified below. Maximum size for each file is 40 MB. Please note that the system does not support Zip files.  - CV  - Publication list - Transcript of grades - Personal letter with: A brief description of your research profile and how it relates to nutrition/health A brief motivation as to why you are interested in this position.  Please apply no later than 16th August 2026. Evaluation of applications will be done on a continuous basis. Please note: The applicant is responsible for ensuring that the application is complete. Incomplete applications and applications sent by email will not be considered. Contact details to references will be requested after the interview.  For questions, please contact:   Mats Jirstrand, Head of Department, Systems and Data Analysis, Fraunhofer-Chalmers Centre E-mail: mats.jirstrand@fcc.chalmers.se Phone: +46 730 794303

Stripe

WHO WE ARE ABOUT BRIDGE We're creating an entirely new payments platform, built with stablecoins, to simplify global money movement. Bridge enables faster, cheaper payments and borderless access to dollars via stablecoins. Through our APIs, businesses can send and receive funds across borders faster and cheaper vs. SWIFT and other fiat-only rails. Our virtual accounts enable international consumers and businesses to easily access, store, and spend US dollars. Our payouts infrastructure enables platforms to disburse USD to anyone globally. We believe many trillions of dollars will move and settle through stablecoin payment rails. Bridge is pulling this future forward. We have a small team of people who have previously built financial infrastructure at some of the world's leading companies (Coinbase, Stripe, Square, Brex, Upstart, DoorDash, Airbnb), and each and every one of them chose Bridge because they fundamentally believe that stablecoins will be a critical piece of financial infrastructure that allows for the improvement of global money movement. ABOUT THE TEAM Join our Product team to build the systems that make global, programmable money trustworthy at scale. At Bridge, we're not just improving global payments—we're reinventing how money moves across borders using stablecoins and modern financial infrastructure. As a Product Manager for Compliance, you'll own the products and systems that allow Bridge to scale safely across geographies, partners, and transaction volumes. You'll work at the intersection of product, engineering, data, compliance, and operations to design customer compliance systems that are fast, adaptive, and deeply embedded in how our platform works. This role is about enabling high-velocity growth with strong controls—using real-time decisioning and thoughtful product design to move fast without cutting corners. WHAT YOU'LL DO RESPONSIBILITIES * Own the core compliance control plane by defining and delivering the unified API and self-service platform that serves as the single source of truth for all large-scale, ongoing compliance program execution * Drive operational autonomy and safety by leading the strategic shift to enable non-engineering teams to autonomously manage global compliance programs end-to-end, building in guardrails and intelligence to eliminate operational errors and achieve zero unintended business disruptions * Maximize engineering and data leverage by ensuring the platform's architecture and data model are highly accurate and extensible, shifting the engineering focus from manual execution and data cleanup to platform innovation and automation across all operational workflows WHO YOU ARE We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement. MINIMUM REQUIREMENTS * 8+ years in Product Management, specifically in shipping large-scale, complex, and technical platform or infrastructure products * Proven experience leading ambitious, ambiguous 0-to-1 projects that require significant cross-functional alignment and organizational change * Deep understanding of API design and data modeling principles, with a track record of building reusable, high-leverage components * Strong communication, influence, and stakeholder management skills to negotiate timelines and align roadmaps across multiple organizations * Data-driven approach to product management, with experience defining and tracking metrics related to operational efficiency, platform health, and system accuracy PREFERRED QUALIFICATIONS * Experience building internal tooling or "platform-as-a-service" offerings that successfully centralize and automate decentralized operational workflows * Background working on regulated products that utilize machine learning or AI to automate complex decision-making processes or generate optimized operational plans

Stripe

WHO WE ARE ABOUT STRIPE Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world's largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. ABOUT THE TEAM The Seller Systems team is dedicated to empowering sellers and stakeholders at Stripe by streamlining and optimizing the selling process. This is a top priority for Stripe as it expands its enterprise revenue globally. We build tools and systems to make the end-to-end selling process across initial contact with customers, deal modeling, negotiation, approvals, contracting, onboarding, and activation absolutely world class. We treat this area as an engineering problem from first principles, implemented with a hybrid architecture of first-party-developed custom Stripe components interoperating with third-party standard business components. Our vision is to be able to offer a single plane of glass experience to our Sellers at Stripe, to allow them to leverage AI through workflows that allow them to minimize overhead and increase their time on increasingly efficient selling. WHAT YOU'LL DO As a Staff Engineer in Seller Systems, you'll be a technical anchor for one of Stripe's highest-priority engineering investments—building the infrastructure that powers how Stripe sells to and wins customers globally. You'll own and drive multi-year technical strategy across a complex hybrid architecture of first-party Stripe systems and third-party platforms (including Salesforce), while directly shaping the seller experience across the full quote-to-cash lifecycle. You'll set the architectural direction and be a multiplier across teams—owning end-to-end technical decisions that span seller-facing workflows, core platform services, and integrations with Stripe's financial infrastructure. RESPONSIBILITIES • Architect and build scalable, reliable systems that underpin Stripe's sales motion, including APIs and services that support deal creation and modeling, multi-party approval workflows, contract generation, and merchant onboarding at global scale • Lead Stripe's "single plane of glass" vision for sellers—driving architectural decisions on how first-party Stripe components and third-party platforms (e.g., Salesforce) interoperate, and designing systems that surface the right data and actions to sellers at the right time • Integrate AI and agentic workflows into the selling process, identifying high-leverage opportunities to automate seller overhead—from intelligent deal recommendations and pricing guidance to automated contract workflows and proactive activation nudges • Partner cross-functionally at a senior level with Go-to-Market, Finance, Legal, and Product teams to deeply understand the selling process and translate business requirements into durable technical solutions that scale with Stripe's growth • Raise the technical bar across the team—conduct thorough design and code reviews, establish engineering standards and best practices, and create the conditions for senior and staff-adjacent engineers to do their best work • Drive simplification and platform consolidation—reduce complexity in Stripe's go-to-market systems stack, identify opportunities to consolidate overlapping tooling, and architect toward a maintainable, extensible platform that serves sellers reliably • Mentor and sponsor senior engineers, helping them grow in technical scope and organizational influence, and fostering a culture of ownership, craft, and collaboration across the Seller Systems team and beyond WHO YOU ARE We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement. MINIMUM REQUIREMENTS • 10+ years experience building software systems, including both experience building user-facing products and internal platforms leveraged by other engineering teams • You have a user-first mindset • You care deeply about the product experience and the users who rely on the systems you build • You've set a multi-year technical strategy for an organization and successfully executed it • You work in ambiguous, fast-moving environments and have a curiosity to learn the domain to a deep level • You've mentored senior engineers and meaningfully empowered their growth • You thrive on a high level of autonomy and responsibility • You have strong collaboration skills to work effectively across multiple teams and stakeholders, and ship complex initiatives • You communicate complex technical topics exceptionally clearly PREFERRED QUALIFICATIONS • Experience working in high-growth teams similar to Stripe • Knowledge of CRM platforms like Salesforce • Previous experience partnering with or supporting Go-to-Market (GTM) organizations, including Sales, Marketing, or Customer Success teams

Stripe

WHO WE ARE ABOUT STRIPE Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world's largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. ABOUT THE TEAM Data Science at Stripe is a vibrant community where data analysts, data scientists, and engineers learn and grow together. You'll work with some of Stripe's most fundamental and exciting data, and use that data to help drive company-wide initiatives. We have a variety of Data Analytics roles and teams across Stripe and will seek to align you to the most relevant team based on your background. WHAT YOU'LL DO In this role, you'll partner deeply with teams across Stripe to ensure that our users, our products, and our business have the models, data products, and insights needed to make decisions and grow responsibly. You'll work closely with partners to extract insights from the rich and complex data at Stripe. You'll also work with leaders to translate business needs into data problems. You'll build metrics, scalable data pipelines, dashboards, and reports to inform and run the business. You'll deliver actionable business insights  through analyses and data storytelling. RESPONSIBILITIES * Work with Treasury Finance, Finance & Strategy, Risk and Engineering to build out analytics and observability framework for Stripe's financial position * Investigate macro signals and build analytical frameworks that inform financial planning and strategic decisions * Develop targeted observability and performance analytics for both standard and event-driven environments, providing key insights to senior leadership on Stripe’s business position as macro/market conditions shift  * Understand and leverage Stripe's data assets to analyze financial performance and develop scalable data foundations for existing and emerging analytical needs * Work with heterogeneous and unstructured data to develop insights and recommendations * Collaborate with data scientists and engineers to build data pipelines, models, and infrastructure that serve business needs * Support ongoing reporting, stakeholder communications, and information requests across Treasury Finance and Finance & Strategy WHO YOU ARE We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement. MINIMUM REQUIREMENTS: * Must be located in New York or willing to relocate as this role is hybrid * 3–6 years of experience in Data Research & Analysis, Risk Modeling & Analysis roles, Business Intelligence and Data Engineering, building data pipelines and analyzing large datasets to solve problems * Proficiency in SQL and Python * Strong statistical knowledge and business intuition * Ability to clearly communicate results and drive impact * Experience in analytics in FinTech, banking, investment management, corporate finance, treasury, or financial services  * Expertise in visualization and using data insights to make recommendations and achieve goals * Proven ability to manage and deliver on multiple concurrent projects with strong attention to detail * Comfortable collaborating across functions to identify data analytics problems and execute solutions with technical rigor and data-driven insights * Proficiency with AI tools to accelerate model development, analysis, and coding PREFERRED QUALIFICATIONS: * Master's degree in Mathematics, Statistics, Economics, Engineering, or a related technical field * Prior experience at a growth-stage internet or FinTech company * Prior experience in macro analytics, corporate finance, financial planning, and portfolio management * Familiarity with financial and accounting data, time-series data, macroeconomic analysis or economic indicator development * Experience with distributed data frameworks like Hadoop and Spark to write and debug data pipelines * Good understanding of development processes and best practices like engineering standards, code reviews, and testing

Legora

ABOUT US Legora is redefining how legal work gets done. Not built for lawyers, built with them. We work alongside the world’s best legal teams, who expect excellence, precision, and speed, and we hold ourselves to the same bar. Our AI-native workspace lets legal professionals move faster, think more clearly, and operate with sharper precision. By analysing thousands of documents in minutes and powering end-to-end workflows, we cut through complexity, teams can focus on what matters: judgment, strategy, and outcomes. 1,000+ customers across 50+ countries trust us, including Cleary Gottlieb, Goodwin, Linklaters, White & Case, Dentons, and Barclays. We’ve scaled to $100M+ in ARR, with teams across Europe, North America and APAC, and continue to expand through acquisitions including Qura, Walter AI and Graceview. We partner with world-class performers: including Aaron Judge and the New York Yankees, Ludvig Åberg (and his caddie), and campaigns featuring Jude Law. Joining Legora means three things. * We lean in: ownership over titles, outcomes over intentions. * We fight for excellence: high standards, direct, ego-free feedback. * We grow together: as a team and with our customers. Mission before ego. Everyone contributes. No one coasts. If you’re driven by impact, pace, and raising the bar. This is the place. The Role Legora's Talent function is entering its next chapter. The processes, standards, and hiring approach that will carry us through our most ambitious period of growth are being built now, and technical hiring sits at the centre of that. You'll report into the VP of Talent and work directly with the EPD (Engineering, Product & Design leadership teams across our hubs in Stockholm, New York, and London. Engineering alone is targeting 240 hires by year end, senior ICs and engineering leaders across four markets, each at a different stage of maturity. You'll build and lead a team of Tech Talent Partners and managers, shaping how EPD hiring gets done globally. You won't carry reqs. You will be accountable for everything the function produces. What you'll do * Lead and develop a team of Tech Talent Partners and managers across Stockholm, London, and New York. The function is growing and the structure, standards, and team capability need to scale with it. * Work directly with the CTO and EPD leadership on hiring strategy and workforce planning. That means shaping how we think about technical hiring, not waiting to be handed a brief. * Build the reporting, pipeline visibility, and performance metrics that give the team and its stakeholders a consistent picture of where things stand. Four markets, each moving at a different pace, need a clear view across all of them. * Drive quality and consistency across Stockholm, New York, and London. Each market has its own dynamics and the approach has to reflect that. * Own the bar for senior technical hiring. The priority is senior ICs and leaders in markets where the talent pool is thin. You'll need a sharp view of what excellent looks like at each level and the credibility to hold that standard when searches get difficult. * Partner with employer brand and talent operations on the infrastructure, messaging, and candidate experience that a company at this stage of growth needs to attract and close the best technical talent. What you bring You've led technical recruiting at a company growing fast enough that the hiring plan changed every quarter. You've built trust with a CTO, shaped a workforce plan, and managed managers who were themselves running growing teams. You know the difference between a function that's filling roles and one that's driving the business forward. We're looking for: * 10+ years in talent acquisition, with significant time leading technical recruiting at high-growth, VC-backed companies. Pre-IPO or Series C and beyond is the profile that tends to work here. Big tech experience alone won't translate. * Proven experience managing managers, not just ICs. You develop recruiting leaders, hold them to outcomes, and build a team culture that maintains a high bar under pressure. * A track record of genuine strategic partnership with technical leadership. You've contributed to roadmap conversations, pushed back on hiring timelines that weren't grounded in reality, and built credibility with CTOs by knowing your craft as well as they know theirs. * Multi-market experience across Europe and North America. You understand how candidate markets in Stockholm, London, and New York actually differ, not just in notice periods but in sourcing strategy, talent density, and what it takes to close. * Experience building data visibility where it doesn't fully exist. Dashboards, pipeline reporting, capacity modelling: you've done this before and you know what good looks like. * A hiring bar that doesn't move under pressure. When a search gets hard, you change the approach, not the standard. Legora is an Equal Opportunity Employer At Legora, we believe great teams are built on diversity of thought and experience. We’re proud to be an equal opportunity employer and committed to creating an inclusive, high-performance culture where everyone can do their best work. We welcome people of all backgrounds and don’t discriminate based on race, color, religion, national origin, gender, gender identity or expression, sexual orientation, age, disability, veteran status, or any other characteristic protected by law.

Neo4j

About Neo4j: Neo4j is the graph intelligence platform that transforms data into knowledge to power the next generation of intelligent applications and AI systems. It includes enterprise-ready knowledge graphs for accurate, explainable, and governed AI; the most comprehensive, trusted, and easy-to-deploy graph capabilities across any environment and data source; and an unmatched ecosystem trusted by 84 of the Fortune 100 and supported by the world’s largest graph community. Intelligence that works. Results that matter. Built to work everywhere and integrate with everything across every cloud for dynamic, personalized, and autonomous AI systems. We deliver quicker results, contextual knowledge, and solutions that impact customers and employees across the business. Our Vision:  At Neo4j, we have always strived to help the world make sense of data.   As business, society and knowledge become increasingly connected, our technology promotes innovation by helping organizations to find and understand data relationships. We created, drive and lead the graph database category, and we’re disrupting how organizations leverage their data to innovate and stay competitive. Job Title: Federal Consulting Engineer (TS/SCI and FS Poly required) Role Overview: Working with our customer’s engineering teams, you’ll lead and contribute to all phases of the Neo4j implementation within their projects. Act as the Technical Subject Matter expert for short to long-term consulting engagements where you’ll write code, provide expert advice and guidance, train and educate, and help prepare deployments for production rollout. Develop solution architectures that address the technical requirements of our customer’s projects. Design and build prototype solutions that demonstrate required functionality with Neo4j. Help prepare solution proposals for our customer’s engineering and management teams that help address the overall project goals.  You will be responsible for driving out technical requirements, data modeling, coding and testing (eg, data ingestion), and data visualizations.   Job Responsibilities: * Working with our customer’s engineering teams, you’ll lead and contribute to all phases of the Neo4j implementation within their projects. * Act as the Technical Subject Matter expert for short to long-term consulting engagements where you’ll write code, provide expert advice and guidance, train and educate, and help prepare deployments for production rollout. * Develop solution architectures that address the technical requirements of our customer’s projects * Design and build prototype solutions that demonstrate required functionality with Neo4j * Help prepare solution proposals for our customer’s engineering and management teams that help address the overall project goals. Job Requirements: * Location: MD/VA/D.C. * Active TS/SCI and Full-Scope Polygraph  * Extensive experience with database technologies and data modeling concepts, preferably with one of the leading Big Data Database/Analytics Vendors  * 3-5+ years of experience designing and developing enterprise-class applications * Experience with complex data analysis, data migrations, and system integration, strong object- oriented programming skills * Experience working in an Agile environment * Experience with access management and data security * Previous experience with complex, customer-facing projects. * Demonstrated ability to work independently or within a team environment * Experience with source control software such as Perforce, SVN, Git, etc. * Ability to engage and interact with engineers in an advisory role * Comfortable and quick with learning new technologies and development languages as needed * Passionate about solving technical problems * Capable of educating and training small groups * Great listening skills and attention to detail * Bachelor Degree required * Ability to work independently, self-directed and remotely in a cross-functional organization * Able to travel >50% of the time Nice to Haves: * Experience working in a consultative capacity in a Professional Services Organization * Multiple years of Graph DB related experience i.e. Neo4j, OrientDB, TitanDB, or similar * Knowledgeable in J2EE (Java EE), JavaScript, Docker, Spring, Kubernetes * Hands-on development experience using Java/J2EE, Middleware, Design Patterns, JUnit, and database technologies * Experience with Cloud technologies and environments (AWS, Azure) * Experience in Visualization Tools/Frameworks (D3, Sigma.js, Linkurious, Sawyer) * Experience with web application development (React/Angular) Why Join Neo4j? Neo4j is, without question, the most popular graph intelligence platform in the world. We have customers in every industry globally, and our products are a proven product/market fit. Joining our team is an opportunity to shape the future of data and analytics. Below are just a few exciting facts about Neo4j.  * Neo4j is one of the fastest-scaling technology companies in this industry. It recently surpassed $200M in annual recurring revenue (ARR), doubling its ARR over the past three years.  * Raised the biggest funding round in database history ($325M Series F). Backed by world-class investors like Eurazeo, GV (formerly Google Ventures), and Inovia Capital, Neo4j has raised over $600M in funding and is currently valued at over $2Bn. This puts Neo4j among the most well-funded database companies in history. * 84% of the Fortune 100 and 58% of the Fortune 500 use Neo4j. Examples include Boston Scientific, BT Group, Caterpillar, Cisco, Comcast, Department for Education UK, eBay, NBC News, Novo Nordisk, Worldline, and others.  * Co-founder and CEO Emil Eifrem has built an amazing culture that prides itself on relationships, inclusiveness, innovation, and customer success. * Countless industry awards. Massive enterprises and individual developers/data scientists love Neo4j. A strong sense of community and ecosystem is built around the platform. * A recent Forrester Total Economic Impact™ Study cited Neo4j as delivering 417% ROI to customers.  Research shows that members of underrepresented communities are less likely to apply for jobs when they don’t meet all the qualifications. If this is part of the reason you hesitate to apply, we’d encourage you to reconsider and give us the opportunity to review your application. At Neo4j, we are committed to building awareness and helping to improve these issues.  One of our central objectives is to provide an inclusive, diverse, and equitable workplace for everyone to develop their potential and have a positive, career-defining experience. We look forward to receiving your application. Neo4j Values: Neo4j is a Silicon Valley company with a Swedish soul. We foster collaboration and each of us is empowered to contribute and put our innovative stamp on projects. We hire candidates who reflect the following Neo4j core values: (we)-[:VALUE]->(relationships) (we)-[:FOCUS_ON]->(userSuccess) (we)-[:THRIVE_IN]->(:Culture {type: [‘Open’, ‘Inclusive’]}) (we)-[:ASSUME]->(:Intent {direction:’Positive’}) (we)-[:WELCOME]->(:Discussions {nature: ‘IntellectuallyHonest’}) (we)-[:DELIVER_ON]->(ourCommitments)  Neo4j is committed to protecting and respecting your privacy. Please read the privacy notice regarding Neo4j's recruitment process to understand how we will handle the personal data that you provide.  More information at www.neo4j.com.   ©2026 Neo4j, Inc., Neo Technology®, Neo4j®, Cypher®, Neo4j Bloom™, Neo4j Graph Data Science Library™, Neo4j® Aura™, and Neo4j® AuraDB™ are registered trademarks or a trademark of Neo4j, Inc. All other marks are owned by their respective companies.

Aira Group AB

10% of Europe's CO₂ emissions are caused by residential heating, and energy bills are out of control. Aira is here to change that. With our intelligent Aira Heat Pump at the heart, we're making the switch to clean energy-tech easier and more affordable. Helping Europe turn off gas and slashing energy costs one home at a time. Founded in 2022, and with 1000+ employees and counting, Aira is driving the clean energy revolution by providing homes with modern clean energy-tech solutions such as solar power, battery storage solutions and heat pumps. With a state-of-the-art production facility in Poland, an HQ in Stockholm, Sweden, and hubs across the UK, Germany, and Italy, Aira is well on track to install clean energy-tech into 5 million homes by 2034. About the role In the Energy Optimization team, we build optimization and ML models that actively control when the heat pump runs, when the battery charges or discharges, and when to export energy to the grid. We are now building new flexibility capabilities by coordinating fleets of homes to support the grid when it matters most. We’re now looking for a Data Scientist to join the team. You’ll lead projects end-to-end: shape the problem, build forecasting and optimization models, run experiments, and work closely with Product, Engineering and Design to ship customer-facing AI solutions. We value clear communication, thoughtful collaboration, and a constructive approach to problem solving. If you enjoy making measurable progress, turning messy real-world signals into decisions people can trust, and moving projects forward even when the path is not fully defined, we would love to hear from you. What you will be doing Translate real-world control problems into optimization models that minimizes customers’ energy bills. Develop and improve forecasting and decision-support models enabling optimal control schedules for customers’ home energy devices. Design and run experiments on real customer systems, evaluate impact, and turn insights into product decisions. Work closely with the team to bring models into production. Work across the full data stack, including data pipelines, feature engineering, deployment and monitoring. Lead initiatives from discovery to production impact. You set direction, align with stakeholders across product and engineering to deliver outcomes even when the path is not fully defined. Communicate clearly to technical and non-technical audiences, explaining trade-offs, uncertainty, and what is good enough to ship. What you bring to the team Several years of experience as a Data Scientist, Optimization Engineer, Applied Scientist, Machine Learning Engineer or similar. Strong mathematical and statistical modelling skills. Experience with time-series forecasting and machine learning, ideally applied to operational systems. Experience working in Python and with modern ML/optimization tooling and workflows. Solid Software Engineering fundamentals for deploying and maintaining ML systems in production. A pragmatic, product-oriented mindset: you optimize for real-world impact, not model complexity. Experience with cloud platforms (AWS, GCP, or Azure). Nice to have Experience with constrained optimization and applying it to real-world systems. Experience with energy systems or electricity market knowledge, especially flexibility and demand response. Experience with control system or physical systems modelling. What is in it for you? Gain hands-on experience in a fast-growing scale-up, with a supportive and inclusive culture, and career advancement opportunities. Collaborate with diverse teams across international markets and launch products globally. Develop and grow personally and professionally in an entrepreneurial-minded environment. Thrive in a dynamic, solution-oriented culture, tackling challenges and driving meaningful solutions that make a positive impact on the world. Influence the company's success, with a visible impact on product development and market growth. At Aira, We’re not just champions of next-generation energy, we’re champions in Diversity and Inclusion too. We believe that a diverse workforce sparks innovation and creativity and enables us to better serve our customers and communities. We encourage individuals from all backgrounds, cultures, and perspectives to join our team. We will never accept any form of discrimination and believe that together, we can drive a new era for our people and planet.

Neo4j

About Neo4j: Neo4j is the graph intelligence platform that transforms data into knowledge to power the next generation of intelligent applications and AI systems. It includes enterprise-ready knowledge graphs for accurate, explainable, and governed AI; the most comprehensive, trusted, and easy-to-deploy graph capabilities across any environment and data source; and an unmatched ecosystem trusted by 84 of the Fortune 100 and supported by the world’s largest graph community. Intelligence that works. Results that matter. Built to work everywhere and integrate with everything across every cloud for dynamic, personalized, and autonomous AI systems. We deliver quicker results, contextual knowledge, and solutions that impact customers and employees across the business. Our Vision:  At Neo4j, we have always strived to help the world make sense of data.   As business, society and knowledge become increasingly connected, our technology promotes innovation by helping organizations to find and understand data relationships. We created, drive and lead the graph database category, and we’re disrupting how organizations leverage their data to innovate and stay competitive. The Role: This is a pivotal role, leveraging the unique strength of graph technology to solve the critical challenge in Agentic AI: providing rich, accurate, and connected context. When context is missing, LLMs "hallucinate," agents fail, and enterprise AI stalls. Neo4j's Graph Intelligence Platform is the solution, offering the contextual foundation necessary for reliable reasoning, precise retrieval, and confident action. This insight drives our AI strategy and makes this role one of the most consequential at Neo4j. As the VP of Product Management for Agentic AI, you will define and execute Neo4j's product strategy at the intersection of graphs and agentic AI. This is a rare opportunity to pioneer a category, shaping how developers, data scientists, and enterprises build AI applications & agents powered by knowledge graphs. You will lead a team of Product Managers, collaborate closely with Engineering, GTM, and Research, and serve as the foremost internal champion and external voice for Neo4j's AI product vision. Key Responsibilities * Strategic Product Ownership: Define and own the AI product strategy, clearly articulating how the Neo4j graph platform uniquely enables key enterprise AI use cases, including Retrieval-Augmented Generation (RAG), knowledge graph construction, AI agents, and LLM grounding. * Team Leadership: Lead and mentor a team of product managers focused on AI-related areas, providing direction, coaching for maximum impact, and ensuring tight alignment between the product roadmap and core business outcomes. * End-to-End Product Lifecycle: Drive the product lifecycle from initial discovery through launch and continuous iteration. This involves translating complex customer needs, market signals, and technical constraints into clear, prioritized roadmaps. * Cross-Functional Collaboration: Partner closely with Engineering, Field and Research to bring novel graph + AI capabilities to market, including critical integrations with leading AI frameworks (e.g., LangChain, LlamaIndex) and cloud AI platforms. * Go-to-Market Strategy: Collaborate with GTM, Sales, and Marketing to shape positioning, packaging, and launch motions that resonate effectively with both technical builders and enterprise buyers. * Customer & Community Engagement: Engage directly with customers and the developer community to gain a deep understanding of current AI building practices and identify where Neo4j can best remove friction and unlock new value. * Market Intelligence: Monitor the competitive and ecosystem landscape—including LLM providers, vector databases, AI orchestration frameworks, and adjacent graph players—to identify both opportunities and potential risks. * External Visionary: Represent Neo4j's AI product vision externally at conferences, in analyst conversations, and with strategic partners and customers. * Expected travel: Up to 20% Required Qualifications * Proven Product Leadership: 8+ years in product management, including at least 3 years in a senior or leadership capacity, preferably within a developer-focused or data infrastructure company. * Deep AI Ecosystem Knowledge: Hands-on experience building with or shipping products that incorporate LLMs, RAG pipelines, vector search, AI agents, or other related technologies. * Strong Technical Acumen: Comfortable engaging with engineers and architects on complex topics such as graph data modeling, embeddings, retrieval architectures, and ML pipelines. Experience with Python or a similar language is a significant plus. * Customer Focus: A demonstrated history of using qualitative and quantitative customer signals to drive product decisions that result in measurable business outcomes. * Exceptional Communication & Influence: The ability to align diverse stakeholders around a compelling vision and clearly articulate complex technical concepts to both technical and non-technical audiences. * Platform Experience: Understanding of developer adoption curves for new technologies and how enterprise data teams evaluate and deploy AI tooling, specifically within developer and data platforms. * Modern Data Ecosystem Familiarity: Experience with major cloud platforms (AWS, GCP, Azure) and modern data ecosystems, including data warehouses, ML platforms, and orchestration frameworks. * Education: A Bachelor's or Master's degree in Computer Science, Engineering, or a related field, or equivalent practical experience. The annual base salary range for this position based in the United States is listed below. This salary range is an estimate, and the actual salary may vary based on Neo4j’s compensation practices, job related skills, depth of experience, relevant certifications and trainings, in addition to geographic location. Based on the factors above, Neo4j utilizes the full width of the range. In addition to the range below, US employees are eligible for a stock option grant and certain roles are eligible for an annual bonus. Employees in this position are also eligible to participate in the Company’s standard benefit programs, which currently include the following: medical, dental, and vision benefits, 401(k), paid time off, and certain leaves of absence. Annual Base Salary Range for This Role $340,000—$460,000 USD Why Join Neo4j? Neo4j is, without question, the most popular graph intelligence platform in the world. We have customers in every industry globally, and our products are a proven product/market fit. Joining our team is an opportunity to shape the future of data and analytics. Below are just a few exciting facts about Neo4j.  * Neo4j is one of the fastest-scaling technology companies in this industry. It recently surpassed $200M in annual recurring revenue (ARR), doubling its ARR over the past three years.  * Raised the biggest funding round in database history ($325M Series F). Backed by world-class investors like Eurazeo, GV (formerly Google Ventures), and Inovia Capital, Neo4j has raised over $600M in funding and is currently valued at over $2Bn. This puts Neo4j among the most well-funded database companies in history. * 84% of the Fortune 100 and 58% of the Fortune 500 use Neo4j. Examples include Boston Scientific, BT Group, Caterpillar, Cisco, Comcast, Department for Education UK, eBay, NBC News, Novo Nordisk, Worldline, and others.  * Co-founder and CEO Emil Eifrem has built an amazing culture that prides itself on relationships, inclusiveness, innovation, and customer success. * Countless industry awards. Massive enterprises and individual developers/data scientists love Neo4j. A strong sense of community and ecosystem is built around the platform. * A recent Forrester Total Economic Impact™ Study cited Neo4j as delivering 417% ROI to customers.  Research shows that members of underrepresented communities are less likely to apply for jobs when they don’t meet all the qualifications. If this is part of the reason you hesitate to apply, we’d encourage you to reconsider and give us the opportunity to review your application. At Neo4j, we are committed to building awareness and helping to improve these issues.  One of our central objectives is to provide an inclusive, diverse, and equitable workplace for everyone to develop their potential and have a positive, career-defining experience. We look forward to receiving your application. Neo4j Values: Neo4j is a Silicon Valley company with a Swedish soul. We foster collaboration and each of us is empowered to contribute and put our innovative stamp on projects. We hire candidates who reflect the following Neo4j core values: (we)-[:VALUE]->(relationships) (we)-[:FOCUS_ON]->(userSuccess) (we)-[:THRIVE_IN]->(:Culture {type: [‘Open’, ‘Inclusive’]}) (we)-[:ASSUME]->(:Intent {direction:’Positive’}) (we)-[:WELCOME]->(:Discussions {nature: ‘IntellectuallyHonest’}) (we)-[:DELIVER_ON]->(ourCommitments)  Neo4j is committed to protecting and respecting your privacy. Please read the privacy notice regarding Neo4j's recruitment process to understand how we will handle the personal data that you provide.  More information at www.neo4j.com.   ©2026 Neo4j, Inc., Neo Technology®, Neo4j®, Cypher®, Neo4j Bloom™, Neo4j Graph Data Science Library™, Neo4j® Aura™, and Neo4j® AuraDB™ are registered trademarks or a trademark of Neo4j, Inc. All other marks are owned by their respective companies.